To assess the clinical significance of electrophysiological, functional, and
morphometric studies of the optic nerve in patients with serous meningitis during the
recovery period. Congestive fundus changes during the follow-up observation period in
patients with serous meningitis were diagnosed more often 19.4% (6) compared with
changes in the fundus in the acute period 13% (4)). Analysis of perimetric indices
revealed a significant decrease in photosensitivity in 80% (8) patients with serous
meningitis during the recovery period compared with the control group. According to
optical coherence tomography in patients with serous meningitis, significant changes
were detected in 90% (9) patients. According to the data of visual evoked potentials and
electroretinography in patients with serous meningitis, a deterioration in visual
afferentation was detected.
APPLICATION OF BIOMODELS FOR SURGICAL PLANNING BY USING RAPID PROTOTYPING: A ...AM Publications
The application of rapid prototyping (RP) to surgical planning came as a natural extension of the
development of the technology. Current high technology scanners analyzing biological samples present their data in a
layered format providing a straightforward interface to the RP technologies. The highest spatial resolutions are
available from CT and MRI scan data, but other modalities also provide valuable diagnostic information. Presenting
the results in a physical 3D model, either scaled 1:1 or magnified, provides the medical user with invaluable insights
beyond 2D data. Depth is a critical parameter in planning procedures. These techniques allow one to reproduce
human anatomical objects as 3D physical models, which give the surgeon a practical impression of complex
structures before a surgical intervention. This paper will focus on surgical planning and the development of
prostheses in advance of invasive procedures.
Biomodelling is an perceptive, user-friendly technology that facilitated diagnosis and operative planning.
Biomodels allowed surgeons to rehearse procedures readily and improved communication between colleagues and
patients. The paradigm shift from the visual to the visual-tactile representation of anatomical objects introduces a
new kind of interface. The RP models are very well suited for use in the opinion and the precise preoperative
simulations. The case studies included cover applications like the fabrication of custom implants & models for preoperating
surgical planning.
This curriculum vitae summarizes the academic and professional experience of Shahid Bashir. It lists his positions as an instructor at Harvard Medical School and the Department of Physiology at King Saud University. It details his education and postdoctoral training. It also provides an extensive list of his research funding, publications, teaching experience, and current pre-doctoral trainees. The CV demonstrates Bashir's expertise in noninvasive brain stimulation techniques and his work applying these methods to study neuroplasticity, stroke rehabilitation, and various neurological and psychiatric conditions.
Samir Kumar Biswas is an ultrasound and optical physicist/engineer seeking a challenging position in biomedical engineering. He has experience developing photoacoustic and ultrasound imaging systems and has published papers on topics like diffuse optical tomography, angiogenesis monitoring, and rheumatoid arthritis diagnosis. He holds a PhD from the Indian Institute of Science and has held research positions at NUS and the University of Twente.
This document discusses 10 highly cited papers from the International Journal on Cybernetics & Informatics. It provides brief summaries of 3 papers:
1. The first paper discusses using data mining classification algorithms like Naive Bayes and Support Vector Machine to predict kidney disease. It finds SVM performs better based on accuracy and runtime.
2. The second paper focuses on the design and analysis of Current Starved Ring Voltage Controlled Oscillators for PLL applications. It designs a CSVCO in CMOS technology with a frequency range of 53MHz to 2.348GHz and power consumption of 848uW.
3. The third paper presents a method to recognize vehicle license plates using morphology operations and a neural network
:Extraocular foreign bodies (EOFBs) are a common presentation to the emergency
department (ED). Given that inadequate management can result in severe complications including visual
impairment, ED clinicians may be overly cautious and often schedule patient reviews in the ED even
where it is unnecessary, placing a burden on hospital resources.
Computed tomography scans image processing for nasal symptoms severity predi...IJECEIAES
This paper aims to use a new technique of computed tomography (CT) scan image processing to correlate the image analysis with sinonasal symptoms. A retrospective cross-sectional study is conducted by analyzing the digital records of 50 patients who attended the ear, nose and throat (ENT) clinics at King Abdullah University Hospital, Jordan. The coronal plane CT scans are analyzed using our developed software. The purposes of this software are to calculate the surface area of the nasal passage at three different levels visible on coronal plane CT scans: i) the head of the inferior turbinate, ii) the head of the middle turbinate, and iii) the tail of the inferior turbinate. We employ image processing techniques to correlate the narrowing of nasal surface area with sinonasal symptoms. As a consequence, obstruction in the first level is correlated significantly with the symptoms of nasal obstruction while the narrowing in the second level is related to frontal headache. No other significant correlations are found with nasal symptoms at the third level. In our study, we find that image processing techniques can be very useful to predict the severity of common nasal symptoms and they can be used to suggest treatment and to follow up on the case progression.
Study on Physicians Request for Computed Tomography Examinations for Patients...IRJESJOURNAL
Background and objectives: There is a lot controversy about the use of Computed tomography (CT) for patients with minor head injury. We aimed to determine the practice of guiding rules for the safety of radiation and increasing awareness of physicians about risks of ionizing radiation and find out the reasons of emergency doctors for sending head injury patients to CT scan exams. Materials and Methods: A descriptive questionnaire in the Emergency Department (ED) based study was performed to assess physicians' knowledge of radiation doses received from radiological treatments and knowledge about Clinic Decision Support rules (CDS). The questionnaire consisted of 26 questions distributed to physicians working in the emergency department in six hospitals in East Java. Finally, the data collected have been analyzed by some tests using SPSS version 15 and Smart PLS. Results: In this study 44 participants had taken part. The percentage of general knowledge and awareness that shows the response of people who work in the emergency departments was total 44 respondents, by percent 6.8% of the respondents had passably knowledge, awareness and 84.1% they were having a good knowledge and awareness and 9.1% the respondents had very good knowledge and awareness. That means almost of respondents have good knowledge and awareness. To find out if an indicator is forming a construct (latent variables) testing the convergent validity of the measurement model with a reflexive indicator assessed based on the correlation between the item score to construct scores were calculated with the help of software Smart PLS. Size reflexive considered valid if the individual has a correlation (loading) to construct (latent variables) to be measured ≥ 0.5 or the value of t-statistics should ≥1.96 (test two tailed) at a significance level of α = 0.05. If one of the indicators has a leading value <0.5,><1.96, then the indicator should be discarded (dropped) because it indicates that the indicators are not good enough to measure the construct in right. The positive influence between general knowledge and awareness against to knowledge about radiation doses can be interpreted that the better general knowledge and awareness, then it will be followed by an increase in their knowledge about radiation doses. And vice versa, the worse general knowledge and awareness, then this will decrease their knowledge about radiation doses too. Conclusion: The present study has illustrated that the level of awareness and knowledge physicians who deal with ionizing radiation in CT scan units are adequate overall. There is a good influence between the diligence in applying the principles of guidance and rules stipulated by the nuclear energy in Indonesia by physicians to adjust the use of CT in the emergency department, the majority of participants who have a good awareness & knowledge, there are some of them do not have enough knowledge.
APPLICATION OF BIOMODELS FOR SURGICAL PLANNING BY USING RAPID PROTOTYPING: A ...AM Publications
The application of rapid prototyping (RP) to surgical planning came as a natural extension of the
development of the technology. Current high technology scanners analyzing biological samples present their data in a
layered format providing a straightforward interface to the RP technologies. The highest spatial resolutions are
available from CT and MRI scan data, but other modalities also provide valuable diagnostic information. Presenting
the results in a physical 3D model, either scaled 1:1 or magnified, provides the medical user with invaluable insights
beyond 2D data. Depth is a critical parameter in planning procedures. These techniques allow one to reproduce
human anatomical objects as 3D physical models, which give the surgeon a practical impression of complex
structures before a surgical intervention. This paper will focus on surgical planning and the development of
prostheses in advance of invasive procedures.
Biomodelling is an perceptive, user-friendly technology that facilitated diagnosis and operative planning.
Biomodels allowed surgeons to rehearse procedures readily and improved communication between colleagues and
patients. The paradigm shift from the visual to the visual-tactile representation of anatomical objects introduces a
new kind of interface. The RP models are very well suited for use in the opinion and the precise preoperative
simulations. The case studies included cover applications like the fabrication of custom implants & models for preoperating
surgical planning.
This curriculum vitae summarizes the academic and professional experience of Shahid Bashir. It lists his positions as an instructor at Harvard Medical School and the Department of Physiology at King Saud University. It details his education and postdoctoral training. It also provides an extensive list of his research funding, publications, teaching experience, and current pre-doctoral trainees. The CV demonstrates Bashir's expertise in noninvasive brain stimulation techniques and his work applying these methods to study neuroplasticity, stroke rehabilitation, and various neurological and psychiatric conditions.
Samir Kumar Biswas is an ultrasound and optical physicist/engineer seeking a challenging position in biomedical engineering. He has experience developing photoacoustic and ultrasound imaging systems and has published papers on topics like diffuse optical tomography, angiogenesis monitoring, and rheumatoid arthritis diagnosis. He holds a PhD from the Indian Institute of Science and has held research positions at NUS and the University of Twente.
This document discusses 10 highly cited papers from the International Journal on Cybernetics & Informatics. It provides brief summaries of 3 papers:
1. The first paper discusses using data mining classification algorithms like Naive Bayes and Support Vector Machine to predict kidney disease. It finds SVM performs better based on accuracy and runtime.
2. The second paper focuses on the design and analysis of Current Starved Ring Voltage Controlled Oscillators for PLL applications. It designs a CSVCO in CMOS technology with a frequency range of 53MHz to 2.348GHz and power consumption of 848uW.
3. The third paper presents a method to recognize vehicle license plates using morphology operations and a neural network
:Extraocular foreign bodies (EOFBs) are a common presentation to the emergency
department (ED). Given that inadequate management can result in severe complications including visual
impairment, ED clinicians may be overly cautious and often schedule patient reviews in the ED even
where it is unnecessary, placing a burden on hospital resources.
Computed tomography scans image processing for nasal symptoms severity predi...IJECEIAES
This paper aims to use a new technique of computed tomography (CT) scan image processing to correlate the image analysis with sinonasal symptoms. A retrospective cross-sectional study is conducted by analyzing the digital records of 50 patients who attended the ear, nose and throat (ENT) clinics at King Abdullah University Hospital, Jordan. The coronal plane CT scans are analyzed using our developed software. The purposes of this software are to calculate the surface area of the nasal passage at three different levels visible on coronal plane CT scans: i) the head of the inferior turbinate, ii) the head of the middle turbinate, and iii) the tail of the inferior turbinate. We employ image processing techniques to correlate the narrowing of nasal surface area with sinonasal symptoms. As a consequence, obstruction in the first level is correlated significantly with the symptoms of nasal obstruction while the narrowing in the second level is related to frontal headache. No other significant correlations are found with nasal symptoms at the third level. In our study, we find that image processing techniques can be very useful to predict the severity of common nasal symptoms and they can be used to suggest treatment and to follow up on the case progression.
Study on Physicians Request for Computed Tomography Examinations for Patients...IRJESJOURNAL
Background and objectives: There is a lot controversy about the use of Computed tomography (CT) for patients with minor head injury. We aimed to determine the practice of guiding rules for the safety of radiation and increasing awareness of physicians about risks of ionizing radiation and find out the reasons of emergency doctors for sending head injury patients to CT scan exams. Materials and Methods: A descriptive questionnaire in the Emergency Department (ED) based study was performed to assess physicians' knowledge of radiation doses received from radiological treatments and knowledge about Clinic Decision Support rules (CDS). The questionnaire consisted of 26 questions distributed to physicians working in the emergency department in six hospitals in East Java. Finally, the data collected have been analyzed by some tests using SPSS version 15 and Smart PLS. Results: In this study 44 participants had taken part. The percentage of general knowledge and awareness that shows the response of people who work in the emergency departments was total 44 respondents, by percent 6.8% of the respondents had passably knowledge, awareness and 84.1% they were having a good knowledge and awareness and 9.1% the respondents had very good knowledge and awareness. That means almost of respondents have good knowledge and awareness. To find out if an indicator is forming a construct (latent variables) testing the convergent validity of the measurement model with a reflexive indicator assessed based on the correlation between the item score to construct scores were calculated with the help of software Smart PLS. Size reflexive considered valid if the individual has a correlation (loading) to construct (latent variables) to be measured ≥ 0.5 or the value of t-statistics should ≥1.96 (test two tailed) at a significance level of α = 0.05. If one of the indicators has a leading value <0.5,><1.96, then the indicator should be discarded (dropped) because it indicates that the indicators are not good enough to measure the construct in right. The positive influence between general knowledge and awareness against to knowledge about radiation doses can be interpreted that the better general knowledge and awareness, then it will be followed by an increase in their knowledge about radiation doses. And vice versa, the worse general knowledge and awareness, then this will decrease their knowledge about radiation doses too. Conclusion: The present study has illustrated that the level of awareness and knowledge physicians who deal with ionizing radiation in CT scan units are adequate overall. There is a good influence between the diligence in applying the principles of guidance and rules stipulated by the nuclear energy in Indonesia by physicians to adjust the use of CT in the emergency department, the majority of participants who have a good awareness & knowledge, there are some of them do not have enough knowledge.
Involving machine learning techniques in heart disease diagnosis: a performan...IJECEIAES
Artificial intelligence is a science that is growing at a tremendous speed every day and has become an essential part of many domains, including the medical domain. Therefore, countless artificial intelligence applications can be seen in the medical domain at various levels, which are employed to enhance early diagnosis and prediction and reduce the risks associated with many diseases, including heart diseases. In this article, machine learning techniques (logistic regression, random forest, artificial neural network, support vector machines, and k-nearest neighbors) are utilized to diagnose heart disease from the Cleveland Clinic dataset got from the University of California Irvine machine learning (UCL) repository and Kaggle platform then create a comparison between the performance of these techniques. In addition, some literature related to machine learning and deep learning techniques that aim to provide reasonable solutions in monitoring, detecting, diagnosing, and predicting heart disease and how these technologies assist in making health decisions are reviewed. Ten studies are selected and summarized by the authors published between 2017 and 2022 are illustrated. After executing a series of tests, it is seen that the most profitable performance in diagnosing heart disease is the support vector machines, with a diagnostic accuracy of 96%. This article has concluded that these techniques play a significant and influential role in assisting physicians and health care workers in analyzing heart patients' data, making health decisions, and saving patients' lives.
Detection of chest pathologies using autocorrelation functionsIJECEIAES
An important feature of image analysis is texture, seen in all images, from aerial and satellite images to microscopic images in biomedical research. A chest X-ray is the most common and effective method for diagnosing severe lung diseases such as cancer, pneumonia, and tuberculosis. The lungs are the largest X-ray object. The correct separation of the shapes and sizes of the contours of the lungs is an important reason for diagnosis, because of which an intelligent information environment can be created. Despite the use of X-rays, to identify the diagnosis, there is a chance that the disease will not be detected. In this sense, there is a risk of development, which may be fatal. The article deals with the problems of pneumonia clustering using the autocorrelation function to obtain the most accurate result. This provides a reliable tool for diagnosing lung radiographs. Image pre-processing and data shaping play an important role in revealing a well-functioning basis of the nervous system. Therefore, images from two classes were selected for the task: healthy and with pneumonia. This paper demonstrates the applicability of the autocorrelation function for highlighting interest in lung radiographs based on the fineness of textural features and k-means extraction.
A comparative analysis of chronic obstructive pulmonary disease using machin...IJECEIAES
Chronic obstructive pulmonary disease (COPD) is a general clinical issue in numerous countries considered the fifth reason for inability and the third reason for mortality on a global scale within 2021. From recent reviews, a deep convolutional neural network (CNN) is used in the primary analysis of the deadly COPD, which uses the computed tomography (CT) images procured from the deep learning tools. Detection and analysis of COPD using several image processing techniques, deep learning models, and machine learning models are notable contributions to this review. This research aims to cover the detailed findings on pulmonary diseases or lung diseases, their causes, and symptoms, which will help treat infections with high performance and a swift response. The articles selected have more than 80% accuracy and are tabulated and analyzed for sensitivity, specificity, and area under the curve (AUC) using different methodologies. This research focuses on the various tools and techniques used in COPD analysis and eventually provides an overview of COPD with coronavirus disease 2019 (COVID-19) symptoms.
Small overview of the startups involved in healthcare artificial intelligence, the OCT market, investments, patent and IP issues and FDA regulation.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/retinalAI_landscape.pdf
Recognition of Corona virus disease (COVID-19) using deep learning network IJECEIAES
Corona virus disease (COVID-19) has an incredible influence in the last few months. It causes thousands of deaths in round the world. This make a rapid research movement to deal with this new virus. As a computer science, many technical researches have been done to tackle with it by using image processing algorithms. In this work, we introduce a method based on deep learning networks to classify COVID-19 based on x-ray images. Our results are encouraging to rely on to classify the infected people from the normal. We conduct our experiments on recent dataset, Kaggle dataset of COVID-19 X-ray images and using ResNet50 deep learning network with 5 and 10 folds cross validation. The experiments results show that 5 folds gives effective results than 10 folds with accuracy rate 97.28%.
CHEST X-RAY SEGMENTATION to CALCULATE PLEURAL EFFUSION INDEX in PATIENT with ...AM Publications
This document discusses a study that used digital image processing and MATLAB programming to calculate the Pleural Effusion Index (PEI) in patients with dengue hemorrhagic fever. The study involved segmenting chest x-ray images using thresholding and morphological operations to measure the width of pleural effusions. PEI values were calculated by taking the ratio of maximum effusion width to maximum lung width and provide an alternative to manual calculations. The method produced PEI values for 5 patient samples ranging from 11.5% to 30.8%.
Excepcional artigo produzido pela Dra. Jordana Sandes do CEROF, GO mostra os efeitos dos arcos de 140º em Ceratocones com valores de astigmatismo elevados.
IOT BASED HEALTH MONITORING SYSTEM FOR COVID 19 PATIENTIRJET Journal
This document describes an Internet of Things (IoT)-based health monitoring system for COVID-19 patients. The system measures patients' pulse rate, body temperature, and oxygen saturation using sensors connected to an Arduino Uno microcontroller. These vital signs are displayed on an LCD screen and sent to a mobile app for remote monitoring. The system was tested on 5 human subjects and was able to quickly obtain and store health data. Compared to other systems, this IoT-based approach could be very useful for monitoring COVID-19 patients during the ongoing pandemic. It allows for remote patient monitoring which can help reduce costs and free up hospital space for more critical cases.
Actividad Preparatoria del Seminario de Prevención Cuaternaria del 4° Congreso Iberoamericano de Medicina Familiar y Comunitaria, Wonca Ibemeroamericana, CIMF http://www.montevideo2015wonca-cimf.org/
Seminario: Codificación y clasificación de diagnósticos en atención primaria y Prevención Cuaternaria.
Auditorio del Instituto Universitario Hospital Italiano Buenos Aires. Miércoles 11 Marzo 2015
Detect COVID-19 with Deep Learning- A survey on Deep Learning for Pulmonary M...JumanaNadir
Who knew Deep Learning can come so handy to us during this period of global crisis?
There has yet been no vaccine or any effective treatment for the 2019 novel Coronavirus (COVID-19), but generative deep learning is helping in detecting and monitoring coronavirus patients by chest CT screening.
Assessment of Early Hypertensive Retinopathy using Fractal Analysis of Retina...TELKOMNIKA JOURNAL
Hypertensive retinopathy is characterized by changes in retinal vessels, a change known as tortuosity. Automated analysis of retinal vascular changes will make it easier for clinicians to make an initial diagnosis of the disease. The pattern of blood vessels in the retina of the eye can be approached with a fractal pattern. This study proposes a method for the early detection of disease hypertensive retinopathy using the fractal analysis approach fundus retinal image. Variable fractal used is the fractal dimension and lacunarity, whereas for the classification algorithm using ensemble Random Forest and validation using the k-fold cross-validation. Performance measurement using the parameters of accuracy, positive prediction value (PPV), negative prediction value (NPV), sensitivity, specificity and area under the curve (AUC). The test results using 10-fold cross-validation values obtained accuracy 88.0%, PPV 84.0%, NPV 92.0%, sensitivity 91.3%, specificity 85.19%, and 88.25% AUC. The performance is produced when using lacunarity the box size 22. Based on the research results, it can be concluded that early detection of hypertensive retinopathy with fractal analysis approaches have a performance based on AUC produced included in good categories.
Power spectrum sequence analysis of rheumatic arthritis (ra disease using dsp...eSAT Journals
Abstract Digital Signal Processing (DSP) applications in bioinformatics have received great attention in recent years, where new effective methods for genomic sequence analysis, such as the detection of coding regions, have been developed. Rheumatic Arthritis (RA) is a chronic systemic inflammatory disease involving primarily the peripheral synovial joints. In this work, the software module has been implemented using MATLAB 2009a which supports bioinformatics toolbox. The DSP techniques such as Fast Fourier Transform (FFT) and Hamming window are incorporated in the algorithm. Quantitative analysis is performed using mean amplitude and mean normalized frequency parameters computed from the generated power spectrum. The algorithm is tested for different normal and abnormal DNA sequences available in National center of Biotechnology Information (NCBI) database. Keywords: Digital signal processing (DSP), Fast Fourier Transform (FFT), Rheumatic Arthritis (RA).
Electrocardiogram signal processing algorithm on microcontroller using wavele...IJECEIAES
The electrocardiogram (ECG) is an important parameter for analyzing the cardiac system. It serves as the primary diagnostic tool for patients with suspected heart disease, guiding appropriate cardiac investigations according to the disease or condition suspected. However, ECG measurements may generate noise, leading to false diagnoses. The wavelet transform is an effective and widely-used technique for eliminating noise. Typically, analysis and generation algorithms are developed on computer and using software built in. This paper presents a noise elimination algorithm based on the wavelet transform method, designed to operate on resource-limited Node microcontroller unit (MCU). An efficiency study was conducted to determine the optimum mother wavelet implementation of the algorithm, and the results showed that, when considering synthetic ECG signals, db4 was the most suitable for eliminating interference by achieving the highest signal to noise ratio (SNR) and correlation coefficient. In addition, this algorithm prototype can analyze ECG signals using the wavelet transform method processed in a microcontroller and is accurate compared to reliable programs. It has the potential to be further developed into a low-cost portable ECG signal measurement tool for use in remote medicine, healthcare facilities in resource-limited areas, education and training, as well as home monitoring for chronic patients.
MARIE: VALIDATION OF THE ARTIFICIAL INTELLIGENCE MODEL FOR COVID-19 DETECTIONijma
Lung X-ray images, if processed using statistical and computational methods, can distinguish pneumonia from COVID-19. The present work shows that it is possible to extract lung X-ray characteristics to improve the methods of examining and diagnosing patients with suspected COVID-19, distinguishing them from malaria, tuberculosis, and Streptococcus pneumonia. More precisely, an intelligent computational model was developed to process lung X-ray images and classify whether the image is of a patient with COVID-19. In partnership with the municipality of Itapeva, Minas Gerais, we carried out patient analysis and, at the same time, we evolved the algorithms to meet the needs of health professionals and also expand support in tracking COVID-19 in the municipality. In this project we will describe cases and even signs and symptoms that were similar to the clinical performed by the doctor. The average recognition accuracy of COVID-19 was 0.97,4 ± 0.043.
COVID-19 knowledge-based system for diagnosis in Iraq using IoT environmentnooriasukmaningtyas
The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper describes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, phone number, date and time of examination. During the applications’ development, the developers used Twilio, short message service (SMS), WhatsApp, and Google map applications.
This document describes a new software called VITAN that can automatically analyze optical coherence tomography (OCT) images and quantify vitreous inflammation in an objective manner. The software segments vitreous tissue from OCT scans and measures vitreous intensity and texture, which correlate moderately with clinical assessments of vitreous haze. It requires no human input, completing analysis within 2 seconds. This automated method could provide an objective marker of vitreous inflammation for both clinical use and trials of treatments for uveitis.
Calculating the area of white spots on the lungs of patients with COVID-19 u...IJECEIAES
Coronavirus desease 2019 (COVID-19) is a pandemic that has occurred in the world since 2019. Researchers have carried out various ways in dealing with this disease, starting from the screening stage to the stage of treatment and therapy for COVID-19 patients. As the gateway to the COVID-19 problem, screening has an essential role in a diagnosis that leads to appropriate treatment. In this paper, we will focus on the screening stage using digital image processing techniques, namely in calculating the area of white spots in the lungs of COVID-19 patients. The white patches are an early indication of how badly COVID-19 is attacking the patient. We use XRay Thorax image objects as research data in this paper. Although the current experimental results show that this method has a successful performance of 71.11%, it is pretty promising for further development due to its simplicity.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document describes Monica Muthaiya's experimental investigation comparing the tibial and peroneal divisions of the sciatic nerve. The purpose was to examine potential histological differences that could explain why injury to the peroneal division is more common during total joint arthroplasty. Tibial and peroneal nerves from 10 cadavers were sectioned and a portion was manually stretched before staining and analysis using ImageJ software. The hypothesis was that histological differences would be found between the nerves, with the peroneal nerve having a smaller cross-sectional area, since it is less protected and more prone to injury. The results and conclusions aimed to provide insight for physicians on the variations between the nerve divisions and why one may be more susceptible
This document reviews various methods for detecting glaucoma from medical images and proposes a new method. It discusses both manual and automatic detection techniques, including scanning laser polarimetry, optical coherence tomography, wavelet Fourier analysis, and analyzing features from fundus images. The proposed method uses discrete wavelet transforms to extract energy features from retinal images, feeds these features into an artificial neural network for classification of images as normal or glaucomatous, and applies clustering for segmentation to detect affected parts in glaucomatous images. The goal is an automatic system for classifying and segmenting glaucoma from retinal images based on wavelet analysis and neural networks.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
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Involving machine learning techniques in heart disease diagnosis: a performan...IJECEIAES
Artificial intelligence is a science that is growing at a tremendous speed every day and has become an essential part of many domains, including the medical domain. Therefore, countless artificial intelligence applications can be seen in the medical domain at various levels, which are employed to enhance early diagnosis and prediction and reduce the risks associated with many diseases, including heart diseases. In this article, machine learning techniques (logistic regression, random forest, artificial neural network, support vector machines, and k-nearest neighbors) are utilized to diagnose heart disease from the Cleveland Clinic dataset got from the University of California Irvine machine learning (UCL) repository and Kaggle platform then create a comparison between the performance of these techniques. In addition, some literature related to machine learning and deep learning techniques that aim to provide reasonable solutions in monitoring, detecting, diagnosing, and predicting heart disease and how these technologies assist in making health decisions are reviewed. Ten studies are selected and summarized by the authors published between 2017 and 2022 are illustrated. After executing a series of tests, it is seen that the most profitable performance in diagnosing heart disease is the support vector machines, with a diagnostic accuracy of 96%. This article has concluded that these techniques play a significant and influential role in assisting physicians and health care workers in analyzing heart patients' data, making health decisions, and saving patients' lives.
Detection of chest pathologies using autocorrelation functionsIJECEIAES
An important feature of image analysis is texture, seen in all images, from aerial and satellite images to microscopic images in biomedical research. A chest X-ray is the most common and effective method for diagnosing severe lung diseases such as cancer, pneumonia, and tuberculosis. The lungs are the largest X-ray object. The correct separation of the shapes and sizes of the contours of the lungs is an important reason for diagnosis, because of which an intelligent information environment can be created. Despite the use of X-rays, to identify the diagnosis, there is a chance that the disease will not be detected. In this sense, there is a risk of development, which may be fatal. The article deals with the problems of pneumonia clustering using the autocorrelation function to obtain the most accurate result. This provides a reliable tool for diagnosing lung radiographs. Image pre-processing and data shaping play an important role in revealing a well-functioning basis of the nervous system. Therefore, images from two classes were selected for the task: healthy and with pneumonia. This paper demonstrates the applicability of the autocorrelation function for highlighting interest in lung radiographs based on the fineness of textural features and k-means extraction.
A comparative analysis of chronic obstructive pulmonary disease using machin...IJECEIAES
Chronic obstructive pulmonary disease (COPD) is a general clinical issue in numerous countries considered the fifth reason for inability and the third reason for mortality on a global scale within 2021. From recent reviews, a deep convolutional neural network (CNN) is used in the primary analysis of the deadly COPD, which uses the computed tomography (CT) images procured from the deep learning tools. Detection and analysis of COPD using several image processing techniques, deep learning models, and machine learning models are notable contributions to this review. This research aims to cover the detailed findings on pulmonary diseases or lung diseases, their causes, and symptoms, which will help treat infections with high performance and a swift response. The articles selected have more than 80% accuracy and are tabulated and analyzed for sensitivity, specificity, and area under the curve (AUC) using different methodologies. This research focuses on the various tools and techniques used in COPD analysis and eventually provides an overview of COPD with coronavirus disease 2019 (COVID-19) symptoms.
Small overview of the startups involved in healthcare artificial intelligence, the OCT market, investments, patent and IP issues and FDA regulation.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/retinalAI_landscape.pdf
Recognition of Corona virus disease (COVID-19) using deep learning network IJECEIAES
Corona virus disease (COVID-19) has an incredible influence in the last few months. It causes thousands of deaths in round the world. This make a rapid research movement to deal with this new virus. As a computer science, many technical researches have been done to tackle with it by using image processing algorithms. In this work, we introduce a method based on deep learning networks to classify COVID-19 based on x-ray images. Our results are encouraging to rely on to classify the infected people from the normal. We conduct our experiments on recent dataset, Kaggle dataset of COVID-19 X-ray images and using ResNet50 deep learning network with 5 and 10 folds cross validation. The experiments results show that 5 folds gives effective results than 10 folds with accuracy rate 97.28%.
CHEST X-RAY SEGMENTATION to CALCULATE PLEURAL EFFUSION INDEX in PATIENT with ...AM Publications
This document discusses a study that used digital image processing and MATLAB programming to calculate the Pleural Effusion Index (PEI) in patients with dengue hemorrhagic fever. The study involved segmenting chest x-ray images using thresholding and morphological operations to measure the width of pleural effusions. PEI values were calculated by taking the ratio of maximum effusion width to maximum lung width and provide an alternative to manual calculations. The method produced PEI values for 5 patient samples ranging from 11.5% to 30.8%.
Excepcional artigo produzido pela Dra. Jordana Sandes do CEROF, GO mostra os efeitos dos arcos de 140º em Ceratocones com valores de astigmatismo elevados.
IOT BASED HEALTH MONITORING SYSTEM FOR COVID 19 PATIENTIRJET Journal
This document describes an Internet of Things (IoT)-based health monitoring system for COVID-19 patients. The system measures patients' pulse rate, body temperature, and oxygen saturation using sensors connected to an Arduino Uno microcontroller. These vital signs are displayed on an LCD screen and sent to a mobile app for remote monitoring. The system was tested on 5 human subjects and was able to quickly obtain and store health data. Compared to other systems, this IoT-based approach could be very useful for monitoring COVID-19 patients during the ongoing pandemic. It allows for remote patient monitoring which can help reduce costs and free up hospital space for more critical cases.
Actividad Preparatoria del Seminario de Prevención Cuaternaria del 4° Congreso Iberoamericano de Medicina Familiar y Comunitaria, Wonca Ibemeroamericana, CIMF http://www.montevideo2015wonca-cimf.org/
Seminario: Codificación y clasificación de diagnósticos en atención primaria y Prevención Cuaternaria.
Auditorio del Instituto Universitario Hospital Italiano Buenos Aires. Miércoles 11 Marzo 2015
Detect COVID-19 with Deep Learning- A survey on Deep Learning for Pulmonary M...JumanaNadir
Who knew Deep Learning can come so handy to us during this period of global crisis?
There has yet been no vaccine or any effective treatment for the 2019 novel Coronavirus (COVID-19), but generative deep learning is helping in detecting and monitoring coronavirus patients by chest CT screening.
Assessment of Early Hypertensive Retinopathy using Fractal Analysis of Retina...TELKOMNIKA JOURNAL
Hypertensive retinopathy is characterized by changes in retinal vessels, a change known as tortuosity. Automated analysis of retinal vascular changes will make it easier for clinicians to make an initial diagnosis of the disease. The pattern of blood vessels in the retina of the eye can be approached with a fractal pattern. This study proposes a method for the early detection of disease hypertensive retinopathy using the fractal analysis approach fundus retinal image. Variable fractal used is the fractal dimension and lacunarity, whereas for the classification algorithm using ensemble Random Forest and validation using the k-fold cross-validation. Performance measurement using the parameters of accuracy, positive prediction value (PPV), negative prediction value (NPV), sensitivity, specificity and area under the curve (AUC). The test results using 10-fold cross-validation values obtained accuracy 88.0%, PPV 84.0%, NPV 92.0%, sensitivity 91.3%, specificity 85.19%, and 88.25% AUC. The performance is produced when using lacunarity the box size 22. Based on the research results, it can be concluded that early detection of hypertensive retinopathy with fractal analysis approaches have a performance based on AUC produced included in good categories.
Power spectrum sequence analysis of rheumatic arthritis (ra disease using dsp...eSAT Journals
Abstract Digital Signal Processing (DSP) applications in bioinformatics have received great attention in recent years, where new effective methods for genomic sequence analysis, such as the detection of coding regions, have been developed. Rheumatic Arthritis (RA) is a chronic systemic inflammatory disease involving primarily the peripheral synovial joints. In this work, the software module has been implemented using MATLAB 2009a which supports bioinformatics toolbox. The DSP techniques such as Fast Fourier Transform (FFT) and Hamming window are incorporated in the algorithm. Quantitative analysis is performed using mean amplitude and mean normalized frequency parameters computed from the generated power spectrum. The algorithm is tested for different normal and abnormal DNA sequences available in National center of Biotechnology Information (NCBI) database. Keywords: Digital signal processing (DSP), Fast Fourier Transform (FFT), Rheumatic Arthritis (RA).
Electrocardiogram signal processing algorithm on microcontroller using wavele...IJECEIAES
The electrocardiogram (ECG) is an important parameter for analyzing the cardiac system. It serves as the primary diagnostic tool for patients with suspected heart disease, guiding appropriate cardiac investigations according to the disease or condition suspected. However, ECG measurements may generate noise, leading to false diagnoses. The wavelet transform is an effective and widely-used technique for eliminating noise. Typically, analysis and generation algorithms are developed on computer and using software built in. This paper presents a noise elimination algorithm based on the wavelet transform method, designed to operate on resource-limited Node microcontroller unit (MCU). An efficiency study was conducted to determine the optimum mother wavelet implementation of the algorithm, and the results showed that, when considering synthetic ECG signals, db4 was the most suitable for eliminating interference by achieving the highest signal to noise ratio (SNR) and correlation coefficient. In addition, this algorithm prototype can analyze ECG signals using the wavelet transform method processed in a microcontroller and is accurate compared to reliable programs. It has the potential to be further developed into a low-cost portable ECG signal measurement tool for use in remote medicine, healthcare facilities in resource-limited areas, education and training, as well as home monitoring for chronic patients.
MARIE: VALIDATION OF THE ARTIFICIAL INTELLIGENCE MODEL FOR COVID-19 DETECTIONijma
Lung X-ray images, if processed using statistical and computational methods, can distinguish pneumonia from COVID-19. The present work shows that it is possible to extract lung X-ray characteristics to improve the methods of examining and diagnosing patients with suspected COVID-19, distinguishing them from malaria, tuberculosis, and Streptococcus pneumonia. More precisely, an intelligent computational model was developed to process lung X-ray images and classify whether the image is of a patient with COVID-19. In partnership with the municipality of Itapeva, Minas Gerais, we carried out patient analysis and, at the same time, we evolved the algorithms to meet the needs of health professionals and also expand support in tracking COVID-19 in the municipality. In this project we will describe cases and even signs and symptoms that were similar to the clinical performed by the doctor. The average recognition accuracy of COVID-19 was 0.97,4 ± 0.043.
COVID-19 knowledge-based system for diagnosis in Iraq using IoT environmentnooriasukmaningtyas
The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper describes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, phone number, date and time of examination. During the applications’ development, the developers used Twilio, short message service (SMS), WhatsApp, and Google map applications.
This document describes a new software called VITAN that can automatically analyze optical coherence tomography (OCT) images and quantify vitreous inflammation in an objective manner. The software segments vitreous tissue from OCT scans and measures vitreous intensity and texture, which correlate moderately with clinical assessments of vitreous haze. It requires no human input, completing analysis within 2 seconds. This automated method could provide an objective marker of vitreous inflammation for both clinical use and trials of treatments for uveitis.
Calculating the area of white spots on the lungs of patients with COVID-19 u...IJECEIAES
Coronavirus desease 2019 (COVID-19) is a pandemic that has occurred in the world since 2019. Researchers have carried out various ways in dealing with this disease, starting from the screening stage to the stage of treatment and therapy for COVID-19 patients. As the gateway to the COVID-19 problem, screening has an essential role in a diagnosis that leads to appropriate treatment. In this paper, we will focus on the screening stage using digital image processing techniques, namely in calculating the area of white spots in the lungs of COVID-19 patients. The white patches are an early indication of how badly COVID-19 is attacking the patient. We use XRay Thorax image objects as research data in this paper. Although the current experimental results show that this method has a successful performance of 71.11%, it is pretty promising for further development due to its simplicity.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document describes Monica Muthaiya's experimental investigation comparing the tibial and peroneal divisions of the sciatic nerve. The purpose was to examine potential histological differences that could explain why injury to the peroneal division is more common during total joint arthroplasty. Tibial and peroneal nerves from 10 cadavers were sectioned and a portion was manually stretched before staining and analysis using ImageJ software. The hypothesis was that histological differences would be found between the nerves, with the peroneal nerve having a smaller cross-sectional area, since it is less protected and more prone to injury. The results and conclusions aimed to provide insight for physicians on the variations between the nerve divisions and why one may be more susceptible
This document reviews various methods for detecting glaucoma from medical images and proposes a new method. It discusses both manual and automatic detection techniques, including scanning laser polarimetry, optical coherence tomography, wavelet Fourier analysis, and analyzing features from fundus images. The proposed method uses discrete wavelet transforms to extract energy features from retinal images, feeds these features into an artificial neural network for classification of images as normal or glaucomatous, and applies clustering for segmentation to detect affected parts in glaucomatous images. The goal is an automatic system for classifying and segmenting glaucoma from retinal images based on wavelet analysis and neural networks.
Similar to ENGINEERING SOLUTIONS TO REDUCE VULNERABILITIES IN BIOTECHNICAL SYSTEMS (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
2. Lyudmila Khasanova, Kira Ageeva, Maria Chernobavskaya, Alexander Kolesnikov and Vladimir
Martynov
http://www.iaeme.com/IJMET/index.asp 637 editor@iaeme.com
Cite this Article Lyudmila Khasanova, Kira Ageeva, Maria Chernobavskaya,
Alexander Kolesnikov and Vladimir Martynov, Engineering Solutions to Reduce
Vulnerabilities in Biotechnical Systems, International Journal of Mechanical
Engineering and Technology, 10(3), 2019, pp. 636-643.
http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=3
1. INTRODUCTION
Currently, more and more researchers are concerned about the course of the infectious process
of complications of such neuroinfections as serous meningitis and meningoencephalitis [1]. The
authors state that it is necessary to apply modern research methods for the topical diagnosis and
control of the functional activity of both the cortical regions of the brain and the cranial nerves
[2]. Of the cranial nerves, the auditory and optic nerves are more often affected [3]. To date,
standard protocols for examining patients with meningitis include a consultation with an oculist
with a mandatory examination of the fundus. Ophthalmoscopy in patients with serous
meningitis in the acute period can be diagnosed with congestive optic nerve discs [4].
Researchers associate these phenomena with an increase in intracranial pressure in the acute
period of serous meningitis [5]. However, dispensary observation of patients with serous
meningitis usually does not include dynamic observation of changes in visual functions.
To date, there are many highly sensitive non-invasive methods for the study of sensory
systems allowing to identify erased and subacute forms of ophthalmic pathology [6]. Such
methods as visual evoked potentials (VEP), Electroretinography (ERG), static, dynamic
perimetry, optical coherence tomography allow to evaluate the electrophysiological, functional
and morphometric state of the optic nerve [7]. The question of reflecting the effects of the
neuroinfectious process (serous meningitis) on the state of the optic nerve prompted us to
conduct the present study. To date, medical organizations have become full-fledged economic
entities [9] - and this fully applies to both commercial clinics [10] and municipal [11] or
departmental [12]. Thus, [13], making a decision on the use of information technologies [14]
in its institution [15] (development [16], delivery [17], implementation [18], maintenance of
software products used [19]), the manager (or person responsible for the informatization of the
MoD [20] one way or another should determine [21] how much money he is willing to spend
and how to justify this amount - justify for himself [22], for the higher management [23], for
the public [24], for the controlling bodies [25], for their employees - for all [26].
The problem of justifying the cost of informatization of MO is also facing IT service
providers [27]. They have to justify the cost of certain types of services provided at negotiations
with potential customers and at the conclusion of contracts [28]. And although contracts are
usually concluded on the basis of tenders held in accordance with 44-FZ — for example, the
price is formed as a result of an auction — this is often not sufficient, and in practice a detailed
justification is required from the service provider [29].
In determining the price of the goods, various methods can be applied, we divide them into
two groups, the first of which is conventionally called comparative, and the second - costly
[30]. With comparative methods on the basis of certain data (comparison with similar ones), a
direct assessment of the price of the planned contract is made (and here we should pay attention
to the need to take into account the dynamics of price changes). At cost - the price is determined
based on the planned costs of the service provider (product) / executor of works.
2. EXPERIMENTAL SETUP
A total of 41 patients were examined, of which 31 patients with serous meningitis of the
moderate course, aged 18 to 60 years old, were treated in the hospital. ON. Semashko "(Head
3. Engineering Solutions to Reduce Vulnerabilities in Biotechnical Systems
http://www.iaeme.com/IJMET/index.asp 638 editor@iaeme.com
Doctor Sorokina L.Yu.) in 2015 -2017 The average age of patients was 31 ± 12.4 years. The
etiology was represented by herpetic (1), enteroviral (7) and unspecified (23).
A traditional ophthalmologic examination of patients (n = 31) was carried out twice: in the
acute period and in the recovery period from 1 to 110 days after discharge from the hospital.
Ophthalmologic examination of patients included the determination of visual acuity in standard
illumination conditions using the Roth apparatus, Sivtsev-Golovin tables without correction
and with correction according to the generally accepted method during the recovery period.
Direct and reverse ophthalmoscopy using a direct ophthalmoscope in conditions of medical
mydriasis.
Evaluation of the state of the visual field was carried out using computed static and kinetic
perimetry (OCTOPUS, Switzerland) in patients with serous meningitis (n = 10) during
convalescence and the following indicators were taken into account: average retinal sensitivity
in decibels (dB) in general and by sector , mean deviation or mean defect (MD) - the total
difference between normal photosensitivity (taking into account age) and retinal
photosensitivity in a given patient in dB, square root of loss depression (variability of defects,
sLV) , being a measure of the difference in the patient's field of view from the normative age
field of view, taking into account the possible variation in the visibility indicators of the tag
from refraction, media transparency, age and other factors and reflecting the severity of focal
perimetric lesions.
Morphometric study of the optic nerve head in patients with serous meningitis during the
recovery period (n = 10) was carried out using an optical coherent tomograph (OCT Stratus,
Germany), the following indicators were evaluated:
1. Vert. Integrated Rim Area (Vol.) - integral volume of the neuroretinal belt (mm³);
2. Horiz. Intergated Rim Width (Area) - integral area of the neuroretinal belt (mm²);
3. Disc Area is the area of the optic nerve disc (mm²);
4. Cup Area - the excavation area (mm²);
5. Rim Area - the area of the neuroretinal belt (mm²);
6. Cup / Disc Area Ratio - the ratio of the area of the optic nerve to the area of excavation
(the proportion of the diameter of the optic nerve is expressed as a decimal fraction, normally
does not exceed 0.46, with age from 30 to 70 years increases by 0.1);
7. Cup / Disc Horiz. Ratio - the ratio of the horizontal diameter of the excavation to the
diameter of the optic nerve head;
8. Cup / Disc Vert. Ratio - the ratio of the vertical diameter of the excavation to the diameter
of the optic nerve head.
9. The conclusion of the doctor on the results of the survey.
Evaluation of the electrophysiological state was carried out using ERG and SGP using the
Neurosoft computer diagnostic complex (Ivanovo, RF). The amplitude and latency parameters
of the ɑ- and β- waves of the electroretinogram were taken into account. As well as the
parameters of visual evoked potentials on the reversible chess pattern with an estimate of
latency N75 (projection of the generation of the convexital area - Brodyman 17th field), P100
(generation in the striatum core - 17-18 fields) and N145 (generation of the projection of the
visual analyzer area, field 18 and 19), and an estimate of the amplitude of the N75-P100 and
P100-N145. ERG and SGP on a reversible chess pattern was performed on 11 patients with
serous meningitis during the observed cult-period.
The comparison was carried out with a control group of patients without neuroinfectious
and ophthalmologic pathology (n = 10), the average age was 24 ± 2.6 years.
4. Lyudmila Khasanova, Kira Ageeva, Maria Chernobavskaya, Alexander Kolesnikov and Vladimir
Martynov
http://www.iaeme.com/IJMET/index.asp 639 editor@iaeme.com
3. THEORETICAL ANALYSIS
3.1. Dynamics of fundus fundus changes
Analysis of visual acuity in patients with serous meningitis during convalescence revealed an
average visual acuity of 0.94. In the control group, the average visual acuity is 1.
Analysis of the fundus ophthalmoscopy in patients with serous meningitis during the acute
period revealed signs of stagnation in the fundus in 13% of patients (4) and retinal angiopathy
in 10% (1) of patients. Ophthalmoscopy of the fundus during the recovery period revealed signs
of stagnation in the fundus of 19.4% (6) patients and retinal angiopathy in the same patient as
in the acute period (Figure 1).
Figure 1 Dynamics of fundus fundus changes (direct and reverse ophthalmoscopy) in patients with
serous meningitis (n = 31) in the acute period and the recovery period
Analysis of perimetry indicators in patients with serous meningitis during the recovery
period, in comparison with the control group, showed a decrease in the average sensitivity of
the retina (MS) in 80% (8) patients (Student coefficient p≤0.05) and an increase in the average
deviation (MD) in 70 % (7) patients (Student Ratio p≤0.05) compared with the control group
(Figure 2).
Figure 2 Dynamics of perimetry indicators in patients with serous meningitis during the
recovery period
Analysis of the dynamics of changes in perimetry indicators in patients with serous
meningitis depending on the time of examination of patients (from the 1st day to 110 days after
5. Engineering Solutions to Reduce Vulnerabilities in Biotechnical Systems
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discharge from the hospital) revealed a direct correlation between the recovery of the average
photosensitivity index and the duration of the recovery period (Spearman coefficient p≤0.01) .
Analysis of morphometric parameters revealed in patients with serous meningitis during the
recovery period a significant decrease in the area of the neuroretinal girdle (Rim Area) in both
eyes (p≤0.05), an increase in the ratio of the area of the optic nerve disk to the area of excavation
(Cup / Disc Area Ratio) (from the right eyes p≤0.05), an increase in the ratio of the vertical
diameter of the excavation to the diameter of the optic nerve head (Cup / Disc Vert. Ratio)
(from the right eye p≤0.05) and an increase in the area of the optic nerve disk (Disc Area) (from
the left eye p≤0.05) (Figure 3).
Figure 3 Distribution of average morphometric parameters of optical coherence tomography in
patients with serous meningitis in comparison with the control group
3.2. Analysis of the correlation of indicators
Analysis of statistics for different implementations of noise with different Analysis of the
correlation dependence of OCT in patients with serous meningitis on the visual acuity of
patients, and the time of the survey (from 1 to 110 days after discharge from the hospital) did
not reveal any significant correlation dependence (optic nerve excavation was diagnosed in
patients from 1 to 110 days from discharge) from the hospital).
An analysis of the relationship between OCT indicators in the period of convalescence and
examination of the fundus in the acute period in patients with serous meningitis (congestion of
the fundus in the acute period was diagnosed in 4 patients (40%)) revealed a direct correlation
dependence (Spearman test p≤0.05). An analysis of the relationship between OCT indicators in
the period of convalescence and examination of the fundus in the period of recovery in patients
with serous meningitis did not reveal a correlation dependence (none of the patients at the time
of the examination in the period of recovery of congestion in the fundus found in the fundus).
Analysis of the parameters of visual evoked potentials revealed a decrease in the amplitude
of P100-N145 (generation in the striatum cortex and fields 18 and 19) in patients with serous
meningitis compared with the control group. The latency of VEP in patients with serous
6. Lyudmila Khasanova, Kira Ageeva, Maria Chernobavskaya, Alexander Kolesnikov and Vladimir
Martynov
http://www.iaeme.com/IJMET/index.asp 641 editor@iaeme.com
meningitis did not differ from the control group. The dependence of the normalization of
parameters of VEP in patients with serous meningitis on the time of recovery period (from the
moment of discharge from the hospital) was revealed. The dependence of the change in the
parameters of VEP in patients with serous meningitis on the detection of flattening of the
excavation of the optic nerve in OCT was not detected. The dependence of the N75 amplitude
parameters in patients with serous meningitis on stagnation in the fundus during the acute period
of the disease (Spearman coefficient 0.54 p <0.01) and the latency parameters of P100 on
stagnation in the fundus during recovery period (Spearman coefficient 0.3 p <0.05).
Analysis of the parameters of electroretinography in patients with serous meningitis during
the recovery period revealed a significant increase (Student coefficient p≤0.01) of the latent
period of ɑ- and β- waves and decrease in the amplitude of β-wave (Student coefficient p≤0.01)
compared with the control group . The connection of the β-wave latency parameters in patients
with serous meningitis with congestive fundus of the fundus in the acute period (Spearman
coefficient 0.42 p≤0.05) and the latency of the β- and β-waves with congestive fundus of the
eye in the convalescence period. However, a correlation with changes in the morphometric
parameters (OCT) of the optic nerve was not found when studying the parameters of the VEP
and ERG.
Thus, analysis of the traditional ophthalmologic examination of patients with serous
meningitis during the recovery period revealed a lag in stagnation in the fundus (13.4% were
diagnosed more often during the catamnestic period (6) compared with the changes in the
fundus in the acute period 13% (4)) .
Analysis of perimetric indices revealed a significant decrease in photosensitivity in 80% (8)
patients with serous meningitis during the recovery period compared with the control group.
Analysis of OCT indicators in patients with serous meningitis revealed significant changes
in 90% (9) of patients who are not dependent on visual acuity and the duration of the observed
catamnestic period (110 days after discharge from the hospital). The revealed direct correlation
between flattening the excavation of the optic nerve and diagnosed congestion of the fundus in
the acute period in patients with serous meningitis may indicate pathogenesis of changes in the
optic nerve in patients with serous meningitis during convalescence and requires further study
of this issue.
4. RESULTS AND DISCUSSIONS
Analysis of the parameters of visual potentials (generation in the cortex of the striatum and
fields 18 and 19) and electroretinography (potentials from the retina) in patients with serous
meningitis revealed a deterioration in visual afferentation compared with the control group. The
improvement in the parameters of the SGP, ERG and perimetry in the dynamics of the
infectious process indicate that the resulting disturbances (electrophysiological and functional)
are transient in nature and are likely due to cerebral edema [2].
5. CONCLUSION
Modern methods of electrophysiological, functional, and morphometric studies of the optic
nerve are sensitive objective methods for diagnosing lesions of the visual pathways in patients
with serous meningitis during the recovery period. 2. It is necessary to closely monitor the state
of the optic nerve in patients with serous meningitis during the recovery period even in the
absence of subjective complaints of visual impairment in order to early diagnose the effects of
the acute process and timely medical correction.
7. Engineering Solutions to Reduce Vulnerabilities in Biotechnical Systems
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