This document presents a study on predicting mental illness from speech using machine learning. The study aims to create a model that can classify voice recordings as indicative of depression or not using acoustic features and supervised learning algorithms. The model is trained on a dataset containing voice recordings and metadata from depressed and non-depressed individuals. Feature extraction is performed on the segmented recordings to generate spectrograms as input for a convolutional neural network classifier. The model shows potential for early diagnosis of depression through accurate identification of individuals exhibiting characteristics of the illness in their speech patterns.
Gesture Based Retrieval for Mental Illness RecognitionEditor IJCATR
In this work, we try to explore and explain content based image retrieval technique for mental illness early detection based
on gesture expression. Gesture expression based to recognize mental illness due to gesture has multidimensional and may features for
calculation. A technique used to detect and recognize facial expression called Content Based Image Retrieval or CBIR, in this technique
needed gesture image training and referencing. This research also proposed to construct an accurate method or algorithm to detect and
recognize whether one’s suffers mental illness or not. In this research was carried out using gesture image database and gesture without
obstacles (hat, moustache, glasses, etc). Research uses more than 5,000 gesture images with gesture which collected from Lampung
mental illness hospital and from the internet. Research produce an image gesture retrieval result quite good in term of precession and
recall parameters.
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Gesture Based Retrieval for Mental Illness RecognitionEditor IJCATR
In this work, we try to explore and explain content based image retrieval technique for mental illness early detection based
on gesture expression. Gesture expression based to recognize mental illness due to gesture has multidimensional and may features for
calculation. A technique used to detect and recognize facial expression called Content Based Image Retrieval or CBIR, in this technique
needed gesture image training and referencing. This research also proposed to construct an accurate method or algorithm to detect and
recognize whether one’s suffers mental illness or not. In this research was carried out using gesture image database and gesture without
obstacles (hat, moustache, glasses, etc). Research uses more than 5,000 gesture images with gesture which collected from Lampung
mental illness hospital and from the internet. Research produce an image gesture retrieval result quite good in term of precession and
recall parameters.
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Life is hard, but it offers progress and satisfaction. It's normal to feel many emotions, and you can cope and feel better. You're supported.
Our mental health app offers 24/7 professional assistance!
We can create a positive mental health graphic by analysing these patterns with machine learning techniques.
These insights can help mental health professionals diagnose, plan, and track treatment.
Our app helps you manage your mental health with guided meditations, mood tracking, and personalised self-care routines.
Our mood tracking function helps you recognise patterns and make positive changes by keeping track of your emotions.
Our guided meditation function allows you to find the right audio and video meditations for you.
Our personalised self-care plans provide information and advice on stress management, sleep quality, and healthy living.
If you need help, our app lets you contact with a licenced therapist.
Our convenient scheduling system lets you pick a time for your session.
Our mental health app helps you to improve your mental health daily.
Download our app today to improve your mental health!
Neuropsychological Assessment and Imaging in Neurodevelopmental Disorder Diag...assignmentcafe1
Discover the crucial role of neuropsychological assessment and imaging in the diagnosis of neurodevelopmental disorders for educational purposes in this informative SlideShare presentation. Gain insights into the use of advanced assessment techniques and neuroimaging tools to enhance our understanding of these complex conditions and inform educational interventions.
Through a combination of illustrative visuals, research findings, and practical examples, this presentation explores the importance of comprehensive neuropsychological evaluations and neuroimaging in the diagnostic process. Understand how these tools can provide valuable insights into the cognitive, behavioral, and neurological profiles of individuals with neurodevelopmental disorders, such as autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), specific learning disorders, and intellectual disabilities.
Delve into the role of neuropsychological assessment in identifying cognitive strengths, weaknesses, and atypical patterns of functioning in individuals with neurodevelopmental disorders. Explore how these assessments evaluate domains such as attention, memory, executive functions, language skills, and social cognition. Understand how the results of these evaluations can inform personalized educational strategies, accommodations, and interventions.
Moreover, this SlideShare highlights the emerging role of neuroimaging techniques, such as magnetic resonance imaging (MRI), functional MRI (fMRI), and electroencephalography (EEG), in understanding the neural underpinnings of neurodevelopmental disorders. Discover how these imaging tools provide insights into brain structure, connectivity, and activation patterns, helping to unravel the biological basis of these conditions.
Learn about the integration of neuropsychological assessment findings and neuroimaging data to enhance diagnostic accuracy, inform treatment planning, and tailor educational interventions. Explore how multidisciplinary collaborations between psychologists, educators, and healthcare professionals can optimize the assessment process and promote effective educational support for individuals with neurodevelopmental disorders.
By recognizing the importance of neuropsychological assessment and neuroimaging in the diagnosis of neurodevelopmental disorders for educational purposes, we can foster a more informed and individualized approach to support these individuals in educational settings. This presentation encourages collaboration and knowledge exchange between professionals in the fields of psychology, neuroscience, and education to optimize assessment practices and improve outcomes for individuals with neurodevelopmental differences.
Join us in exploring the intersection of neuropsychological assessment, neuroimaging, and education, as we strive to provide evidence-based interventions and support for individuals with neurodevelopmental disorders.
Detecting Mental Disorders in social Media through Emotional patterns-The cas...Shakas Technologies
Detecting Mental Disorders in social Media through Emotional patterns-The case of Anorexia and depression
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Teaching issues acc and neurotechnology lessons drug preventionJacob Stotler
Teaching Technique: Functional connectivity of the Anterior Cingulate Cortex, error awareness and the effects of inhibition on the ACC from drug use / Nuerofeedback approaches to Bio-technologies and bio-engineering.
Due to a diversified society, many of modern people are under stress and anxiety which cause
mental illnesses. Moreover, the social costs of psychotherapy and solution is so high that it cannot be limited to
a problem for individuals realistically. In this paper, we implement an m-Health application that can provide
preemptive art therapy services to reduce social costs and medical expenses. The implementation of the mHealth
application for art therapy has an advantage that social consideration class (the elderly, post-traumatic
stress disorder, etc.) can get treatment without leaving records by receiving medical welfare service of art
therapy in conjunction with professional therapist. Consultation clients are treated through the visit of a
professional therapist and the recorded videos are transmitted to a professional psychotherapy center server if
clients agree to shooting and recording of the processes. Based on the outcomes derived from the consultation
processes, we aim to build a database of the medical records and the new treatment program and apply it to mHealth.
Therefore, we expect to establish the criteria of objectivity, quantify, accuracy and the automaticity of
psychological treatment analysis.
Amanda WattenburgThursdayJul 26 at 724pmManage Discussioncheryllwashburn
Amanda Wattenburg
ThursdayJul 26 at 7:24pm
Manage Discussion Entry
Link to screen cast-o-matic:
https://screencast-o-matic.com/watch/cFitVbFMms (Links to an external site.)Links to an external site.
Script:
A brief introduction
Studying cognitive functioning is important as these processes impact individual’s behavior and emotions (Heeramun-Aubeeluck et al., 2015). Various factors can impact cognitive functioning. A disorder known to impact cognition is psychosis. Thus, it is essential to examine psychosis and how these psychotic experiences effect cognitive functioning over time.
Devise a specific research question related to the topic you chose in Week One.
How does psychosis effect cognitive functioning over time in patients who have experienced first-episode psychosis?
Explain the importance of the topic and research question.
Psychosis is a mental state in which individuals experience a loss of touch with reality(Boychuk, Lysaght, & Stuart, 2018). Psychosis may lead to additional occurrences or may indicate signs of a mental health disorder. It is important to examine the cognitive impairment that is caused as a result of psychotic episodes. In addition, this would unfold information that may lead to the importance of treating psychosis when the first signs are noticed in hopes of decreasing the chances of psychosis leading to a mental disorder.
A brief literature review
Zaytseva, Korsokava, Agius, & Gurovich (2013) and Bora & Murray (2014) discovered altered cognitive functioning exists prior to onset or before the prodrome stage. In addition, Bohus & Miclutia (2014) indicate that cognitive functioning at first-episode psychosis was not as strong. Thus, it can be concluded that cognitive functioning impairment occurs prior to first-episode onset however, there is varying research that indicates the impact on cognitive functioning as time goes on. Popolo, Vinci, & Balbi (2010) conducted a year-long study on neurocognitive functioning amongst children and adolescent patients with first-episode psychosis. Cognitive impairment is indicated in early psychosis onset thus the study focused on examining cognitive impairments. Several cognitive assessments were given to patients and the results were evaluated. The results of the cognitive assessments indicated that adolescents with first-episode psychosis (FEP) have neurocognitive impairments. In addition, psychotic patient’s cognitive deficiencies do not decline over the course of the psychotic disorder. However, according to the article
Neurocognitive functioning before and after the first psychotic episode: does psychosis result in cognitive deterioration? (2010)
, the results indicated that there is no decline in cognitive functioning during the first psychotic episode. This indicates a gap in research of the effect psychotic episodes has on cognitive functioning.
Evaluate published research studies on your topic found during your work on the Weeks One, Two, and ...
ADVANCED NURSING RESEARCH
1
ADVANCED NURSING RESEARCH 2
Evidence Based Practice Grant Proposal
Table of Contents
31.Purpose
42.Background
5Research objectives
6Theoretical framework
63.EBP Model
74.Proposed Change
85.Outcomes
86.Evaluation Plan
97.Dissemination Plan
9Tools to be Used
9Peer review tools for the proposal
11Grant Request
11Proposed Tasks
11Task 1: Case study- Reviewing existing literature on stigma around mental health complications
11Task 2: Interviewing clinicians that have dealt with the study topic
12Task 3: Interviewing patients of mental health
12Schedule
13Budget
148.Appendices
14a.Informed Consent
19Certificate of Consent
19Signature or Date
21b.Literature Matrix
32c.Tools and equipment to be used
34References
Grant Proposal-Assessing the role of stigma towards mental health patients in help seeking
Study problem
There are several studies that have shown that stigmatization towards mental health patients have been present throughout history and even despite the evolution in modern medicine and advanced treatment. For example, Verhaeghe et al., (2014), captures in a publication in reference to a study that he conducted that stigmatization towards mental health patients has been there even as early is in the 18th Century. People were hesitant to interact with people termed or perceived to have mental health conditions.
Stigmatization has resulted from the belief that those with mental problem are aggressive and dangerous creating a social distance (Szeto et al., 2017). Also, mental health-related stigma has become of major concern as it creates crucial barriers to access treatment and quality care since it not only influences the behaviour of the patients but also the attitude of the providers hence impacting help-seeking. Timmermann, Uhrenfeldt and Birkelund (2014), have identified stigma as a barrier that is of significance to care or help seeking while the extent to which it still remains a barrier have not been reviewed deeply. Therefore, this study will assess the role contributed by stigma in help seeking in depth. 1. Purpose
The intention of the research study is to review the association between stigma, mental illness and help seeking in order to formulate ways in which the stigma that is around mental health is done away with to enable as many people suffering from mental health complications to seek medical help.2. Background
Mental health is crucial in every stage of life. It is defined as the state of psychological well-being whereby the individual realizes a satisfactory integration instinctual drive acceptable to both oneself and his or her social setting (Ritchie & Roser, 2018). The status of mental health influences physical health, relationships, and most importantly day-to-day life. Mental health problems arise when there is a ...
Prediction and Analysis of Mood Disorders Based On Physical and Social Health...Hannah Farrugia
Goal:
To understand the relationships between physical health and social aspects and whether they coincide with anxiety or mood disorders.
Objectives:
To achieve a deeper general understanding of the physical and social factors that potentially influence or are influenced by mental health
To understand identified relationships and patterns from a technical perspective in the data
To transform the data using techniques so that it is a suitable input for the models being used.
To create the basis for a machine learning model that can be used to predict the onset of mental disease and to ultimately answer the question of whether mental illness can be predicted based on a set of physical and social factors
A Bayesian Framework for Diagnosing Depression Level of AdolescentsIIRindia
Depressive disorder is an illness that involves the body, mood and thoughts. It interferes with daily life, normal functioning and causes pain for both the person with the disorder and those who care about him/her. Severe depression may lead to serious illness or suicide. The most affected sector is the Adolescent Community. The biggest problem in diagnosing and treating depressive disorders is recognizing that someone is suffering from it. As various factors are involved, it is very difficult for the Psychologists to diagnose depressive disorders correctly at an early stage itself. Nowadays, computers are used in assisting Physicians to diagnose diseases and identify correct treatments according to the patient details. In the same way, computers can also be used in assisting psychologists to diagnose mental disorders and identify correct treatments according to the patient details. Various techniques are available to store the expert knowledge and computerize the diagnosis process. Bayesian Network is such a technique that combines statistics and expert knowledge to diagnose diseases effectively. This paper proposes a Framework for diagnosing depression level in adolescents using Bayesian Networks. Initially, Ontology should be constructed to provide a basis for Bayesian Networks. The ontology acts as the topology and shows the relationships between adolescent depression concepts. By applying probabilities to the relationships between concepts from the statistics, and by using Bayes Theorem, depression level of a patient can be diagnosed effectively. This framework may help novice psychologists to understand the domain concepts and also to diagnose the depression level and suggest correct treatments.
(Student name Jason Mendez) The need for and the propriet.docxgertrudebellgrove
(Student name: Jason Mendez)
The need for and the propriety of employment drug testing
The need and convenience of drug tests in employment, are several measures or tests used by
employers to assess the ability and behavior of their employees or future candidates to whom
they
will use, normally these tests are performed before hiring and normally They are analyzed
through In the urine of people, small samples are taken that will undergo immediate tests that
will give
the diagnosis. These types of tests measure the drug and alcohol in the blood; However, other
tests, such as blood tests, measure the truthfulness and amount of substance in the body. Of the
person, these tests are performed to measure the ability of people, since the use of drugs or
alcohol can decrease a person's work performance.
Some of the tests used are: random lie detection tests, amphetamines, genetic tests to detect
diseases in high-risk employees, but these tests are used as well for competitions as they measure
athletes and their skills in such a way that play well and don't make mistakes or win a race
without justification or effort
References
UPCOUNSE, PRE-EMPLOYMENT DRUG TESTING RECOVERED FROM
https://www.upcounsel.com/pre-employment-drug-testi
https://www.upcounsel.com/pre-employment-drug-testing
(Student name: Yelena Contreras)
Many employers require their employees to submit to drug testing before and after being hired.
Most of the time after being hired an employer requires reasonable suspicion before having an
employee take a drug test. Even with the recent legalization of marijuana in some states,
employees in those states can still be punished for testing positive. The punishments for a failed
drug test can include rehabilitation, termination, and losing unemployment benefits.
Drug testing is becoming more critical for the hiring process year after year. It is important for
employers to conduct drug test for background screening and re-screening because workplace
drug use and abuse can come with serious consequences for business owners.
Many federal employees, such as those who handle classified information, those who work in
national security, law enforcement officers, employees with duties to protect property, life,
health and safety, and even the President are subject to drug testing . The Supreme Court has
ruled that while drug testing does infringe on an employee's privacy, it may be necessary in order
to protect the health and safety of others . Most state laws are similar to federal laws and
generally maintain the legality of drug testing for state employees.
Employees that abuse drugs in the workplace cause major disruptions due to their lack of
productivity, poor performance, potential for work place injuries and their negative impact on
other employees. In developing and enforcing an effective drug testing policy, compliance with
applicable federal and ...
What is machine learning? Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Analysis of the Relationship between Self-Esteem and DepressionIJCSITJournal2
This article presents a comprehensive and in-depth analysis of the intricate relationship that underlies selfesteem and depression, two crucial aspects in the field of mental health. Study aims not only to scrutinize
the existing relationship between self-esteem and depression but also to do so innovatively by leveraging
the analytical and data visualization capabilities offered by two cutting-edge tools: Power BI [3], [4] and
Weka [1], [2]. These platforms, widely recognized in the realm of data science, allow for not only
exploring the relationship between these two fundamental variables but also presenting their findings in an
accessible and enlightening manner for both specialized and general audiences. Thus, our study represents
a comprehensive and multidisciplinary effort to unravel the complex relationship between self-esteem and
depression. Through the synergy between advanced data analysis carried out with Weka and the powerful
visualization provided by Power BI, the aim is not only to broaden the understanding of this crucial
relationship but also to lay the groundwork for future research and approaches in the field of mental
health. In a world where mental health takes center stage in socio-health concerns, this study aspires to
contribute valuable insights that can inform and enrich the care, treatment, and policies related to
depression and self-esteem.
Life is hard, but it offers progress and satisfaction. It's normal to feel many emotions, and you can cope and feel better. You're supported.
Our mental health app offers 24/7 professional assistance!
We can create a positive mental health graphic by analysing these patterns with machine learning techniques.
These insights can help mental health professionals diagnose, plan, and track treatment.
Our app helps you manage your mental health with guided meditations, mood tracking, and personalised self-care routines.
Our mood tracking function helps you recognise patterns and make positive changes by keeping track of your emotions.
Our guided meditation function allows you to find the right audio and video meditations for you.
Our personalised self-care plans provide information and advice on stress management, sleep quality, and healthy living.
If you need help, our app lets you contact with a licenced therapist.
Our convenient scheduling system lets you pick a time for your session.
Our mental health app helps you to improve your mental health daily.
Download our app today to improve your mental health!
Neuropsychological Assessment and Imaging in Neurodevelopmental Disorder Diag...assignmentcafe1
Discover the crucial role of neuropsychological assessment and imaging in the diagnosis of neurodevelopmental disorders for educational purposes in this informative SlideShare presentation. Gain insights into the use of advanced assessment techniques and neuroimaging tools to enhance our understanding of these complex conditions and inform educational interventions.
Through a combination of illustrative visuals, research findings, and practical examples, this presentation explores the importance of comprehensive neuropsychological evaluations and neuroimaging in the diagnostic process. Understand how these tools can provide valuable insights into the cognitive, behavioral, and neurological profiles of individuals with neurodevelopmental disorders, such as autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), specific learning disorders, and intellectual disabilities.
Delve into the role of neuropsychological assessment in identifying cognitive strengths, weaknesses, and atypical patterns of functioning in individuals with neurodevelopmental disorders. Explore how these assessments evaluate domains such as attention, memory, executive functions, language skills, and social cognition. Understand how the results of these evaluations can inform personalized educational strategies, accommodations, and interventions.
Moreover, this SlideShare highlights the emerging role of neuroimaging techniques, such as magnetic resonance imaging (MRI), functional MRI (fMRI), and electroencephalography (EEG), in understanding the neural underpinnings of neurodevelopmental disorders. Discover how these imaging tools provide insights into brain structure, connectivity, and activation patterns, helping to unravel the biological basis of these conditions.
Learn about the integration of neuropsychological assessment findings and neuroimaging data to enhance diagnostic accuracy, inform treatment planning, and tailor educational interventions. Explore how multidisciplinary collaborations between psychologists, educators, and healthcare professionals can optimize the assessment process and promote effective educational support for individuals with neurodevelopmental disorders.
By recognizing the importance of neuropsychological assessment and neuroimaging in the diagnosis of neurodevelopmental disorders for educational purposes, we can foster a more informed and individualized approach to support these individuals in educational settings. This presentation encourages collaboration and knowledge exchange between professionals in the fields of psychology, neuroscience, and education to optimize assessment practices and improve outcomes for individuals with neurodevelopmental differences.
Join us in exploring the intersection of neuropsychological assessment, neuroimaging, and education, as we strive to provide evidence-based interventions and support for individuals with neurodevelopmental disorders.
Detecting Mental Disorders in social Media through Emotional patterns-The cas...Shakas Technologies
Detecting Mental Disorders in social Media through Emotional patterns-The case of Anorexia and depression
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Teaching issues acc and neurotechnology lessons drug preventionJacob Stotler
Teaching Technique: Functional connectivity of the Anterior Cingulate Cortex, error awareness and the effects of inhibition on the ACC from drug use / Nuerofeedback approaches to Bio-technologies and bio-engineering.
Due to a diversified society, many of modern people are under stress and anxiety which cause
mental illnesses. Moreover, the social costs of psychotherapy and solution is so high that it cannot be limited to
a problem for individuals realistically. In this paper, we implement an m-Health application that can provide
preemptive art therapy services to reduce social costs and medical expenses. The implementation of the mHealth
application for art therapy has an advantage that social consideration class (the elderly, post-traumatic
stress disorder, etc.) can get treatment without leaving records by receiving medical welfare service of art
therapy in conjunction with professional therapist. Consultation clients are treated through the visit of a
professional therapist and the recorded videos are transmitted to a professional psychotherapy center server if
clients agree to shooting and recording of the processes. Based on the outcomes derived from the consultation
processes, we aim to build a database of the medical records and the new treatment program and apply it to mHealth.
Therefore, we expect to establish the criteria of objectivity, quantify, accuracy and the automaticity of
psychological treatment analysis.
Amanda WattenburgThursdayJul 26 at 724pmManage Discussioncheryllwashburn
Amanda Wattenburg
ThursdayJul 26 at 7:24pm
Manage Discussion Entry
Link to screen cast-o-matic:
https://screencast-o-matic.com/watch/cFitVbFMms (Links to an external site.)Links to an external site.
Script:
A brief introduction
Studying cognitive functioning is important as these processes impact individual’s behavior and emotions (Heeramun-Aubeeluck et al., 2015). Various factors can impact cognitive functioning. A disorder known to impact cognition is psychosis. Thus, it is essential to examine psychosis and how these psychotic experiences effect cognitive functioning over time.
Devise a specific research question related to the topic you chose in Week One.
How does psychosis effect cognitive functioning over time in patients who have experienced first-episode psychosis?
Explain the importance of the topic and research question.
Psychosis is a mental state in which individuals experience a loss of touch with reality(Boychuk, Lysaght, & Stuart, 2018). Psychosis may lead to additional occurrences or may indicate signs of a mental health disorder. It is important to examine the cognitive impairment that is caused as a result of psychotic episodes. In addition, this would unfold information that may lead to the importance of treating psychosis when the first signs are noticed in hopes of decreasing the chances of psychosis leading to a mental disorder.
A brief literature review
Zaytseva, Korsokava, Agius, & Gurovich (2013) and Bora & Murray (2014) discovered altered cognitive functioning exists prior to onset or before the prodrome stage. In addition, Bohus & Miclutia (2014) indicate that cognitive functioning at first-episode psychosis was not as strong. Thus, it can be concluded that cognitive functioning impairment occurs prior to first-episode onset however, there is varying research that indicates the impact on cognitive functioning as time goes on. Popolo, Vinci, & Balbi (2010) conducted a year-long study on neurocognitive functioning amongst children and adolescent patients with first-episode psychosis. Cognitive impairment is indicated in early psychosis onset thus the study focused on examining cognitive impairments. Several cognitive assessments were given to patients and the results were evaluated. The results of the cognitive assessments indicated that adolescents with first-episode psychosis (FEP) have neurocognitive impairments. In addition, psychotic patient’s cognitive deficiencies do not decline over the course of the psychotic disorder. However, according to the article
Neurocognitive functioning before and after the first psychotic episode: does psychosis result in cognitive deterioration? (2010)
, the results indicated that there is no decline in cognitive functioning during the first psychotic episode. This indicates a gap in research of the effect psychotic episodes has on cognitive functioning.
Evaluate published research studies on your topic found during your work on the Weeks One, Two, and ...
ADVANCED NURSING RESEARCH
1
ADVANCED NURSING RESEARCH 2
Evidence Based Practice Grant Proposal
Table of Contents
31.Purpose
42.Background
5Research objectives
6Theoretical framework
63.EBP Model
74.Proposed Change
85.Outcomes
86.Evaluation Plan
97.Dissemination Plan
9Tools to be Used
9Peer review tools for the proposal
11Grant Request
11Proposed Tasks
11Task 1: Case study- Reviewing existing literature on stigma around mental health complications
11Task 2: Interviewing clinicians that have dealt with the study topic
12Task 3: Interviewing patients of mental health
12Schedule
13Budget
148.Appendices
14a.Informed Consent
19Certificate of Consent
19Signature or Date
21b.Literature Matrix
32c.Tools and equipment to be used
34References
Grant Proposal-Assessing the role of stigma towards mental health patients in help seeking
Study problem
There are several studies that have shown that stigmatization towards mental health patients have been present throughout history and even despite the evolution in modern medicine and advanced treatment. For example, Verhaeghe et al., (2014), captures in a publication in reference to a study that he conducted that stigmatization towards mental health patients has been there even as early is in the 18th Century. People were hesitant to interact with people termed or perceived to have mental health conditions.
Stigmatization has resulted from the belief that those with mental problem are aggressive and dangerous creating a social distance (Szeto et al., 2017). Also, mental health-related stigma has become of major concern as it creates crucial barriers to access treatment and quality care since it not only influences the behaviour of the patients but also the attitude of the providers hence impacting help-seeking. Timmermann, Uhrenfeldt and Birkelund (2014), have identified stigma as a barrier that is of significance to care or help seeking while the extent to which it still remains a barrier have not been reviewed deeply. Therefore, this study will assess the role contributed by stigma in help seeking in depth. 1. Purpose
The intention of the research study is to review the association between stigma, mental illness and help seeking in order to formulate ways in which the stigma that is around mental health is done away with to enable as many people suffering from mental health complications to seek medical help.2. Background
Mental health is crucial in every stage of life. It is defined as the state of psychological well-being whereby the individual realizes a satisfactory integration instinctual drive acceptable to both oneself and his or her social setting (Ritchie & Roser, 2018). The status of mental health influences physical health, relationships, and most importantly day-to-day life. Mental health problems arise when there is a ...
Prediction and Analysis of Mood Disorders Based On Physical and Social Health...Hannah Farrugia
Goal:
To understand the relationships between physical health and social aspects and whether they coincide with anxiety or mood disorders.
Objectives:
To achieve a deeper general understanding of the physical and social factors that potentially influence or are influenced by mental health
To understand identified relationships and patterns from a technical perspective in the data
To transform the data using techniques so that it is a suitable input for the models being used.
To create the basis for a machine learning model that can be used to predict the onset of mental disease and to ultimately answer the question of whether mental illness can be predicted based on a set of physical and social factors
A Bayesian Framework for Diagnosing Depression Level of AdolescentsIIRindia
Depressive disorder is an illness that involves the body, mood and thoughts. It interferes with daily life, normal functioning and causes pain for both the person with the disorder and those who care about him/her. Severe depression may lead to serious illness or suicide. The most affected sector is the Adolescent Community. The biggest problem in diagnosing and treating depressive disorders is recognizing that someone is suffering from it. As various factors are involved, it is very difficult for the Psychologists to diagnose depressive disorders correctly at an early stage itself. Nowadays, computers are used in assisting Physicians to diagnose diseases and identify correct treatments according to the patient details. In the same way, computers can also be used in assisting psychologists to diagnose mental disorders and identify correct treatments according to the patient details. Various techniques are available to store the expert knowledge and computerize the diagnosis process. Bayesian Network is such a technique that combines statistics and expert knowledge to diagnose diseases effectively. This paper proposes a Framework for diagnosing depression level in adolescents using Bayesian Networks. Initially, Ontology should be constructed to provide a basis for Bayesian Networks. The ontology acts as the topology and shows the relationships between adolescent depression concepts. By applying probabilities to the relationships between concepts from the statistics, and by using Bayes Theorem, depression level of a patient can be diagnosed effectively. This framework may help novice psychologists to understand the domain concepts and also to diagnose the depression level and suggest correct treatments.
(Student name Jason Mendez) The need for and the propriet.docxgertrudebellgrove
(Student name: Jason Mendez)
The need for and the propriety of employment drug testing
The need and convenience of drug tests in employment, are several measures or tests used by
employers to assess the ability and behavior of their employees or future candidates to whom
they
will use, normally these tests are performed before hiring and normally They are analyzed
through In the urine of people, small samples are taken that will undergo immediate tests that
will give
the diagnosis. These types of tests measure the drug and alcohol in the blood; However, other
tests, such as blood tests, measure the truthfulness and amount of substance in the body. Of the
person, these tests are performed to measure the ability of people, since the use of drugs or
alcohol can decrease a person's work performance.
Some of the tests used are: random lie detection tests, amphetamines, genetic tests to detect
diseases in high-risk employees, but these tests are used as well for competitions as they measure
athletes and their skills in such a way that play well and don't make mistakes or win a race
without justification or effort
References
UPCOUNSE, PRE-EMPLOYMENT DRUG TESTING RECOVERED FROM
https://www.upcounsel.com/pre-employment-drug-testi
https://www.upcounsel.com/pre-employment-drug-testing
(Student name: Yelena Contreras)
Many employers require their employees to submit to drug testing before and after being hired.
Most of the time after being hired an employer requires reasonable suspicion before having an
employee take a drug test. Even with the recent legalization of marijuana in some states,
employees in those states can still be punished for testing positive. The punishments for a failed
drug test can include rehabilitation, termination, and losing unemployment benefits.
Drug testing is becoming more critical for the hiring process year after year. It is important for
employers to conduct drug test for background screening and re-screening because workplace
drug use and abuse can come with serious consequences for business owners.
Many federal employees, such as those who handle classified information, those who work in
national security, law enforcement officers, employees with duties to protect property, life,
health and safety, and even the President are subject to drug testing . The Supreme Court has
ruled that while drug testing does infringe on an employee's privacy, it may be necessary in order
to protect the health and safety of others . Most state laws are similar to federal laws and
generally maintain the legality of drug testing for state employees.
Employees that abuse drugs in the workplace cause major disruptions due to their lack of
productivity, poor performance, potential for work place injuries and their negative impact on
other employees. In developing and enforcing an effective drug testing policy, compliance with
applicable federal and ...
What is machine learning? Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Analysis of the Relationship between Self-Esteem and DepressionIJCSITJournal2
This article presents a comprehensive and in-depth analysis of the intricate relationship that underlies selfesteem and depression, two crucial aspects in the field of mental health. Study aims not only to scrutinize
the existing relationship between self-esteem and depression but also to do so innovatively by leveraging
the analytical and data visualization capabilities offered by two cutting-edge tools: Power BI [3], [4] and
Weka [1], [2]. These platforms, widely recognized in the realm of data science, allow for not only
exploring the relationship between these two fundamental variables but also presenting their findings in an
accessible and enlightening manner for both specialized and general audiences. Thus, our study represents
a comprehensive and multidisciplinary effort to unravel the complex relationship between self-esteem and
depression. Through the synergy between advanced data analysis carried out with Weka and the powerful
visualization provided by Power BI, the aim is not only to broaden the understanding of this crucial
relationship but also to lay the groundwork for future research and approaches in the field of mental
health. In a world where mental health takes center stage in socio-health concerns, this study aspires to
contribute valuable insights that can inform and enrich the care, treatment, and policies related to
depression and self-esteem.
Similar to Mental Illness Prediction based on Speech using Supervised Learning (20)
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.