An Overview of Data Mining Concepts Applied in Mathematical Techniques

Data imputing uses to posit missing data values, as missing data have a negative effect on the computation validity of models. This study develops a genetic algorithm (GA) to optimize imputing for missing cost data of fans used in road tunnels by the Swedish Transport Administration (Trafikverket). GA uses to impute the missing cost data using an optimized valid data period. The results show highly correlated data (R- squared 0.99) after imputing the missing data. Therefore, GA provides a wide search space to optimize imputing and create complete data. The complete data can be used for forecasting and life cycle cost analysis. Ritesh Kumar Pandey | Dr Asha Ambhaikar"Data Imputation by Soft Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14112.pdf http://www.ijtsrd.com/computer-science/real-time-computing/14112/data-imputation-by-soft-computing/ritesh-kumar-pandey

Data Imputation by Soft Computing

ijtsrd

International Journal of Computational Science and Information Technology (IJCSITY) focuses on Complex systems, information and computation using mathematics and engineering techniques. This is an open access peer-reviewed journal will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of Computation theory and applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced Computation and its applications. The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal.

International Journal of Computational Science and Information Technology (IJ...

ijcsity

Case curriculum

Arbaaz Parvez

International Journal on Computational Science & Applications (IJCSA)

ijcsa

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

Ontology based clustering in research project

eSAT Publishing House

Drew Hanover Nomination Letter

Drew Hanover

Ijetcas14 314

Iasir Journals

International Journal of Computational Science and Information Technology (IJ...

ijcsity

Rajesh Arumugam

International Journal of Computational Science and Information Technology (IJ...

ijcsity

ABSTRACT: Reusability is one of the major concerns of object oriented applications. Object oriented paradigm is having its own various advantages including reusability. There are a lots of Metrics available for quantitative measure of readabilities of any of the application which is developed using object oriented paradigm. The goals of software metrics are to identify and control essential parameters that affect the parameters related to software development. There are various types of measurements which are required in software development including size of the project, complexities involved, measurement of cohesion and coupling among modules, testability, reusability, effort and resources required etc. This paper presents a practical calculation on some of the reusability metrics which can be used for object oriented applications

Calculation of Reusability Matrices for Object Oriented applications

IJMERJOURNAL

What's hot (20)

Sample Paper.doc.doc

Artificial Intelligence in Weed Recognition Tasks

Call for Paper - Applied Mathematics and Sciences: An International Journal (...

SCCAI- A Student Career Counselling Artificial Intelligence

A systematic literature review of cloud

Case placement brochure

A MIND MAP QUERY IN INFORMATION RETRIEVAL

Deep Learning Approach to Predict Financial Time Series Data

Optimal approach for text summarization

Data Imputation by Soft Computing

International Journal of Computational Science and Information Technology (IJ...

Case curriculum

International Journal on Computational Science & Applications (IJCSA)

Ontology based clustering in research project

Drew Hanover Nomination Letter

Ijetcas14 314

International Journal of Computational Science and Information Technology (IJ...

Calculation of Reusability Matrices for Object Oriented applications

Viewers also liked

0514 james 44 you adulterous people power point church sermon

PowerPoint_Sermons

Duncan Bews Nov15

Duncan Bews

Apresentação Institucional - TuttoLabs

TuttoLabs

SBCNewQT(v1) copy

Caroline Cantrell

Exodus 2 6 she opened it and saw power point church sermon

PowerPoint_Sermons

Creating the SBC document for healthcare plan payers

Caroline Cantrell

Web-Scale Discovery: From start to for sale in one year

Andrew Nagy

Paul Filgate Printable A4 CV

Paul Filgate

Presentation istanbul

hedleymfb

Internet as the next frontier for your business v2

Corey Graham

ở đâu dịch vụ giúp việc theo giờ có kinh nghiệm hcm

sadie304

Data Mining and Knowledge

Kartik Kalpande Patil

The jsforce library provides Node.js developers the ability to create apps that interact with the Salesforce API. The standalone examples provide good basic usage for the library. Join us as we take it to the next level and show how to use the library in large, complex, real-world applications. We'll cover patterns and practices for using jsForce in production. We will also explain how to organize your code for optimal reuse and maintainability. We will dig into using promises with jsForce for cleaner code. This presentation will be heavy on code examples and real world practices for large enterprise node applications.

jsForce in Action

Salesforce Developers

Build Reliable Asynchronous Code with Queueable Apex

Salesforce Developers

Ai in communication

Maricel Polmo

Lesson12

guest22999d

Single phase i.m.

patel andil

Lesson 13 rev seminars revelation's keys of death

Nick Pellicciotta

Viewers also liked (18)

0514 james 44 you adulterous people power point church sermon

Duncan Bews Nov15

Apresentação Institucional - TuttoLabs

SBCNewQT(v1) copy

Exodus 2 6 she opened it and saw power point church sermon

Creating the SBC document for healthcare plan payers

Web-Scale Discovery: From start to for sale in one year

Paul Filgate Printable A4 CV

Presentation istanbul

Internet as the next frontier for your business v2

ở đâu dịch vụ giúp việc theo giờ có kinh nghiệm hcm

Data Mining and Knowledge

jsForce in Action

Build Reliable Asynchronous Code with Queueable Apex

Ai in communication

Lesson12

Single phase i.m.

Lesson 13 rev seminars revelation's keys of death

Similar to An Overview of Data Mining Concepts Applied in Mathematical Techniques

Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.

June 2020: Top Read Articles in Advanced Computational Intelligence

aciijournal

An optimal unsupervised text data segmentation 3

prj_publication

IRJET- Characteristics of Research Process and Methods for Web-Based Rese...

IRJET Journal

31 34

Ijarcsee Journal

DOC

butest

A genetic based research framework 3

prj_publication

Research on ontology based information retrieval techniques

Kausar Mukadam

Information Science is a Science of Sciences responsible for Information Solution besides its Technological Solution. Information Science [IS] is a broad field and combination of many fields of Science, Engineering, Management, Humanities and so on. Information Science during its origin developed as Information Field for Information activities such as collection, selection, organization, processing and management, and dissemination. Information Science sometimes treated as Information Studies or Library Science; however, there are many differences between Information Science and these two. Information Science is today emerging as an important name in Science and Technology and in several cases, the nomenclature of Information Science become popular as Information Science and Technology (IST). This paper talks about Information Science and its nature in the contemporary scenario with a brief discussion on earlier facets etc

Information Science and Technology (IST): The Nature and View from the Domai...

Scientific Review SR

Educational Data Mining is a growing trend in case of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degree) Course students of different colleges affiliated to Dibrugarh University. The study is conducted with major subject wise, gender wise and category/caste wise. The experimental results may be visualized with Scatterplot3D, Bubble Plot, Fit Y by X, Run Chart, Control Chart etc. of the SAS JMP Software.

Educational data mining using jmp

ijcsit

Evaluating the efficiency of rule techniques for file

eSAT Publishing House

Abstract Text mining refers to the process of deriving high quality information from text. It is also known as knowledge discovery from text (KDT), deals with the machine supported analysis of text. It is used in various areas such as information retrieval, marketing, information extraction, natural language processing, document similarity, and so on. Document Similarity is one of the important techniques in text mining. In document similarity, the first and foremost step is to classify the files based on their category. In this research work, various classification rule techniques are used to classify the computer files based on their extensions. For example, the extension of computer files may be pdf, doc, ppt, xls, and so on. There are several algorithms for rule classifier such as decision table, JRip, Ridor, DTNB, NNge, PART, OneR and ZeroR. In this research work, three classification algorithms namely decision table, DTNB and OneR classifiers are used for performing classification of computer files based on their extension. The results produced by these algorithms are analyzed by using the performance factors classification accuracy and error rate. From the experimental results, DTNB proves to be more efficient than other two techniques. Index Terms: Data mining, Text mining, Classification, Decision table, DTNB, OneR

Evaluating the efficiency of rule techniques for file classification

eSAT Journals

Document Recommendation using Boosting Based Multi-graph Classification: A Re...

IRJET Journal

50120140503012

In this paper we have focused a variety of techniques, approaches and different areas of the research which are helpful and marked as the important field of data mining Technologies. As we are aware that many MNC’s and large organizations are operated in different places of the different countries. Each place of operation may generate large volumes of data. Corporate decision makers require access from all such sources and take strategic decisions .The data warehouse is used in the significant business value by improving the effectiveness of managerial decision-making. In an uncertain and highly competitive business environment, the value of strategic information systems such as these are easily recognized however in today’s business environment, efficiency or speed is not the only key for competitiveness. This type of huge amount of data’s are available in the form of tera- to peta-bytes which has drastically changed in the areas of science and engineering. To analyze, manage and make a decision of such type of huge amount of data we need techniques called the data mining which will transforming in many fields. This paper imparts more number of applications of the data mining and also o focuses scope of the data mining which will helpful in the further research.

Ijetcas14 438

Iasir Journals

11.software modules clustering an effective approach for reusability

Alexander Decker

The Survey of Data Mining Applications And Feature Scope

IJCSEIT Journal

50120130406022

Bilingual Publishing Group

Journal of Computer Science Research vol 5 no 3 July 2023.pdf

A comparative study on different types of effective methods in text mining

Organize continuing growth of dynamic unstructured documents is the major challenge to the field experts. Handling of such unorganized documents causes more expensive. Clustering of such dynamic documents helps to reduce the cost. Document clustering by analysing the keywords of the documents is one the best method to organize the unstructured dynamic documents. Statistical analysis is the best adaptive method to extract the keywords from the documents. In this paper an algorithm was proposed to cluster the documents. It has two parts, first part extracts the keywords using statistical method and the second part construct the clusters by keyword using agglomerative method. This proposed algorithm gives more than 90% of accuracy.

Construction of Keyword Extraction using Statistical Approaches and Document ...

IJERA Editor

Similar to An Overview of Data Mining Concepts Applied in Mathematical Techniques (20)

June 2020: Top Read Articles in Advanced Computational Intelligence

An optimal unsupervised text data segmentation 3

IRJET- Characteristics of Research Process and Methods for Web-Based Rese...

31 34

DOC

A genetic based research framework 3

Research on ontology based information retrieval techniques

Information Science and Technology (IST): The Nature and View from the Domai...

Educational data mining using jmp

Evaluating the efficiency of rule techniques for file

Evaluating the efficiency of rule techniques for file classification

Document Recommendation using Boosting Based Multi-graph Classification: A Re...

50120140503012

Ijetcas14 438

11.software modules clustering an effective approach for reusability

The Survey of Data Mining Applications And Feature Scope

50120130406022

Journal of Computer Science Research vol 5 no 3 July 2023.pdf

A comparative study on different types of effective methods in text mining

Construction of Keyword Extraction using Statistical Approaches and Document ...

SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics

Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.

BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach

The detection of moving object is an important in many applications such as a vehicle identification in a traffic monitoring system,human detection in a crime branch.In this paper we identify a vehicle in a video sequence.This paper briefly explain the detection of moving vehicle in a video.We introduce a new algorithm BGS for idntifying vehicle in a video sequence. First, we differentiate the foreground from background in frames by learning the background. Then, the image is divided into many small nonoverlapped frames. The candidates of the vehicle part can be found from the frames if there is some change in gray level between the current image and the background. The extracted background subtraction method is used in subsequent analysis to detect a vehicle and classify moving vehicle.

Motion Object Detection Using BGS Technique

Analysis of Women Harassment in Villages Using CETD Matrix Modal

Solving Assignment Problem Using L-R Fuzzy Numbers

Fuzzy Chroamtic Number of Line Graph using α-Cuts

A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...

Dual Trapezoidal Fuzzy Number and its Applications

This paper presents an implementation of one dimensional Burgers equation using implicit method with Intel Xeon Phi Coprocessor. In particular, we used MAGMA MIC library which is an open source high performance library for solving a systems of non-linear equations. Further for high performance computation we consider offload mode as the primary mode of operation for Intel Xeon phi coprocessor. The result obtained from implicit scheme is then compared with the exact values and it’s seen that the results obtained are approximate and reliable. The result table showed that the proposed scheme achieved higher performance on Intel MIC platform.

Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...

Adin and Roichman [1] introduced the concept of permutation graphs and Peter Keevash, Po-Shen Loh and Benny Sudakov [2] identified some permutation graphs with maximum number of edges. Ryuhei Uehara, Gabriel Valiente, discussed on Linear structure of Bipartite Permutation Graphs and the Longest Path Problem [3]. If i, j belongs to a permutation on p symbols {1, 2, …, p} and i is less than j then there is an edge between i and j in the permutation graph if i appears after j in the sequence of permutation. So the line of i crosses the line of j in the permutation. Hence there is a one to one correspondence between crossing of lines in the permutation and the edges of the corresponding permutation graph. In this paper we found the conditions for a permutation to realize a double star and comprehend the algorithm to determine the satuation index of the permutation. AMS Subject Classification (2010): 05C35, 05C69, 20B30.

Saturation Index of π(D(r,s))

The multi-factorial chronicle, severe disease among human is diabetes. As a result of abnormal level of glucose in body leads to heart attack, kidney disease, renal failure, Hyperglycemia and also cancer in organs like liver and pancreas. Many studies have been proved that several types of heart diseases are possible in diabetic patients having a high blood sugar. Many approaches were proposed to diagnose both Diabetes and heart diseases. Most of the diabetes people can also have heart diseases called as Diabetic Cardiomyopathy. The earliest manifestation of diabetic cardiomyopathy is needed certain processes. The objective of the study is to examine the association of heart disease and diabetes. The relationship between diabetes and cardiovascular diseases are examined by taking into account of age, sex and associated diabetic and cardiovascular risk factors. The data are collected from patients with diabetes. From these data, features are selected by ant colony optimization and those selected features are given to hybrid PSO-LIBSVM to classify abnormal and normal data. This performance is evaluated using performance metrics and proved this classifiers efficiency for detection of Diabetic Cardiomyopathy.

Classification and Prediction of Heart Disease from Diabetes Patients using H...

Cryptography is important in communicating secured information that is vulnerable to distortion. The main goal of this paper is encrypting the small arbitrary length data without any changes in the length and data type. We propose a flexible arbitrary length small domain block cipher (FPESD). FPESD is based on AES Algorithm. The resulting cipher text is the same as input plaintext. Here, we use Galois finite field GF (28) and format preserving key to implement FPE. For decryption format preserving key is used along with cipher text and secret key.

Format Preserving Encryption for Small Domain

Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...

Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.

Clustering and Classification in Support of Climatology to mine Weather Data ...

Test Suite Reduction is an optimization technique to identify the minimally sized subset of test cases with enforced constraints involved. The main purpose of test suite reduction is to deduce increased number of test cases that in turn increase the time and cost involved in execution. Fault Detection is the method of identifying the faults that affect the outcome of the system either logically or syntactically. This paper focuses on the reduction of the test suite that has high fault identification rates and also incurs low cost of execution of test cases. The proposed approach includes a new parameter Fault Detection Effectiveness to identify fault rates of test suite; an algorithm for test suite reduction based on priority of requirements; a low cost framework to identify the execution of test cases with minimum budget. Thus, the proposed work defines a test suite that has high fault detection effectiveness providing maximum coverage to requirements at minimum cost of execution.

Test Suite Reduction Based on Fault Detection with Cost Optimization

As the e-commerce is gaining popularity various customer surveys of objects are currently accessible on the Internet. These surveys are frequently disordered, prompting challenges in knowledge discovery and object assessment. This article proposes an object feature positioning skeleton, which consequently recognizes the critical features of an object from online customer surveys. The critical object features are recognized focused around two perceptions: 1) they are normally commented extensively by customers and 2) customer suppositions on the critical feature significantly impact their general assessments on the object. Specifically, given the customer surveys of an item, we first extract the object feature by a shallow reliance parser and focus customer suppositions on these features through an opinion characterizer. We then create a probabilistic object feature positioning calculation to identify the criticalness of perspectives by at the same time considering feature recurrence and the impact of customer opinion given to every feature over their general opinion. The experimental results on 3 popular products demonstrate the effectiveness of our approach.

Artifact Facet Ranking and It’s Applications

Cloud Computing makes data really mobile and a client can simply access a chosen cloud with any internet accessible device. The espousal and dispersion of Cloud computing are threatened by unresolved security issues that affect both the cloud provider and the cloud user. The integrity of data stored in the cloud is one of the challenges to be addressed before the novel storage model is applied widely. This paper analyses the efficiency issues and security dodge of an existing scheme and proposes an amended data integrity scheme using improved RSA and number theory based concept for cloud archive. This scheme of protecting the integrity of guest virtual machines can be agreed upon by both the cloud and the customer and can be incorporated in the service level agreement (SLA).Based onhypothetical analysis, we demonstrate that the proposedscheme has a provably safe and highly adroit dataintegrity inspection measure.

Effectual Data Integrity Checking Technique Based on Number Theory

What cause to the neurons of the human brain cells when they are damaged. They become inactive. So damage to subthalamiuc nucleus (STN) neurons of the human brain causing larger involuntary movements and thereby attacking the Parkinson’s disease (PD). Deep brain stimulation (DBS) of bilateral sub thalamic nuclei (STN) is an efficient method of rehabilitation technique in subjects with advanced idiopathic Parkinson’s (or Parkinson) disease. Accurate targeting of STN neurons and placement of microelectrodes/ (neurosensors) are paramount importance for optimal results after STN-DBS method.In this paper, microminiaturized electrode recordings (MER) of STN neurons were detected in a mean of 3.5 ±1.1 channels on right hemisphere and 3.6 ±1.04 on left hemisphere.Final channel selected were most commonly central seen in 42.3% followed by anterior in 33.7%. When a high current is delivered to STN or GPi neurons of basal ganglia (a component of human brain), causing their inhibition and improved indication of symptoms. It is now known that there is a significant change in the firing pattern and a reorganization of the entire basal ganglia circuit with DBS. The MER of STN neurons has identified a specific high frequency irregular larger amplitude firing patterns seen only in disease states and hence used to detect the neurons of ST nucleus during functional surgery. Microelectrode recording is so useful to confirm the right path but has to be taken in consideration with effects on macro stimulation.

Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain

The focus of this paper is to get a bird's eye view of the various factors that could be analyzed to present schools and governments timely indicators of school dropouts. With the help of EDM, one could have access to enormous amounts of data. The crux of the matter would be to identify the data in line with plans and ideas that would eventually lead to the formulation of policies that enhance the teaching and learning process.

EDM: Finding Answers to Reduce Dropout Rates in Schools

Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile software development still remains a challenge. Measurement practices in agile methods are more important than traditional methods, because lack of appropriate an effective measurement practices will increase the risk of project. This paper discuss about traditional and agile effort estimation model, and analysis done on how the metrics are used in estimation process. The paper also suggeststo use object point and use case point to improve accuracy of effort in agile software development.

Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...

More from ijcoa (20)

SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics

BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach

Motion Object Detection Using BGS Technique

Analysis of Women Harassment in Villages Using CETD Matrix Modal

Solving Assignment Problem Using L-R Fuzzy Numbers

Fuzzy Chroamtic Number of Line Graph using α-Cuts

A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...

Dual Trapezoidal Fuzzy Number and its Applications

Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...

Saturation Index of π(D(r,s))

Classification and Prediction of Heart Disease from Diabetes Patients using H...

Format Preserving Encryption for Small Domain

Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...

Clustering and Classification in Support of Climatology to mine Weather Data ...

Test Suite Reduction Based on Fault Detection with Cost Optimization

Artifact Facet Ranking and It’s Applications

Effectual Data Integrity Checking Technique Based on Number Theory

Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain

EDM: Finding Answers to Reduce Dropout Rates in Schools

Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...

Recently uploaded

platelets- lifespan -Clot retraction-disorders.pptx

Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...

Introduction: RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression. It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences. dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants. This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes. What are small ncRNAs? micro RNA (miRNA) short interfering RNA (siRNA) Properties of small non-coding RNA: Involved in silencing mRNA transcripts. Called “small” because they are usually only about 21-24 nucleotides long. Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered). Silence an mRNA by base pairing with some sequence on the mRNA. Discovery of siRNA? The first small RNA: In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the development of the worm C. elegans. Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14. Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions. Types of RNAi ( non coding RNA) MiRNA Length (23-25 nt) Trans acting Binds with target MRNA in mismatch Translation inhibition Si RNA Length 21 nt. Cis acting Bind with target Mrna in perfect complementary sequence Piwi-RNA Length ; 25 to 36 nt. Expressed in Germ Cells Regulates trnasposomes activity MECHANISM OF RNAI: First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces. Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands. The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it. THE RISC COMPLEX: RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA Unwinding of double stranded Si RNA by ATP independent Helicase Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA. DICER: endonuclease (RNase Family III) Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC) One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute ARGONAUTE PROTEIN : 1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA 2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity. MiRNA: The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .

The ASGCT Annual Meeting was packed with exciting progress in the field advan...

Health Advances

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

AADYARAJPANDEY1

Lab report on liquid viscosity of glycerin

ossaicprecious19

Predicting property prices with machine learning algorithms.pdf

binhminhvu04

Citrus Greening Disease and its Management

subedisuryaofficial

GLOBAL AND LOCAL SCENARIO OF FOOD AND NUTRITION.pptx

SultanMuhammadGhauri

Comparative structure of adrenal gland in vertebrates

sachin783648

Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.

Richard's entangled aventures in wonderland

Richard Gill

Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes. In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.

(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...

Scintica Instrumentation

FAIRSpectra - Towards a common data file format for SIMS images

Alex Henderson

Viksit bharat till 2047 India@2047.pptx

rakeshsharma20142015

erythropoiesis-I_mechanism& clinical significance.pptx

Slide 1: Title Slide Extrachromosomal Inheritance Slide 2: Introduction to Extrachromosomal Inheritance Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus. Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids. Slide 3: Mitochondrial Inheritance Mitochondria: Organelles responsible for energy production. Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria. Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring. Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy. Slide 4: Chloroplast Inheritance Chloroplasts: Organelles responsible for photosynthesis in plants. Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts. Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species. Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA. Slide 5: Plasmid Inheritance Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes. Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation. Significance: Important in biotechnology for gene cloning and genetic engineering. Slide 6: Mechanisms of Extrachromosomal Inheritance Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance. Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells. Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression. Slide 7: Examples of Extrachromosomal Inheritance Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells. Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration. Slide 8: Importance of Extrachromosomal Inheritance Evolution: Provides insight into the evolution of eukaryotic cells. Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases. Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification. Slide 9: Recent Research and Advances Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA. Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases. Slide 10: Conclusion Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology. Future Directions: Continued research and technological advancements hold promise for new treatments and applications. Slide 11: Questions and Discussion Invite Audience: Open the floor for any questions or further discussion on the topic.

extra-chromosomal-inheritance[1].pptx.pdfpdf

DiyaBiswas10

In silico drugs analogue design: novobiocin analogues.pptx

AlaminAfendy1

Anemia_ different types_causes_ conditions