scholarly journals A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review

2019 ◽  
Vol 19 (2) ◽  
pp. 51-73
Author(s):  
Payal Maken ◽  
Abhishek Gupta ◽  
Manoj Kumar Gupta
Keyword(s):  
Feature Extraction ◽  
Comparative Analysis ◽  
Research Area ◽  
Prediction System ◽  
Handwriting Analysis ◽  
Comprehensive Review ◽  
System A

Abstract Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications. It is useful for forensic experts to investigate classes of writers. This prediction is executed fundamentally by two steps: feature extraction and classification. As a whole, prediction solely depends upon the feature extraction. Distinct and most varied features make the classification accurate. This paper describes the problem comprehensively along with its foundation. It presents a survey of the available methods to solve the discussed problem. A comparative analysis of the discussed methods of feature extraction and classification along with the available databases is also presented in this paper.

EUROPEAN RESEARCH AREA: COMPARATIVE ANALYSIS OF INSTITUTIONAL PREREQUISITES AND INTEGRATION APPROACHES FOR UKRAINE

2020 ◽  
Vol 19 (Vol 19, No 3 (2020)) ◽  
pp. 456-481
Author(s):  
Viacheslav LIASHENKO ◽  
Iryna PIDORYCHEVA ◽  
Valentyna ANTONIUK
Keyword(s):  
Comparative Analysis ◽  
Research Area ◽  
European Research Area ◽  
European Research ◽  
National Academy Of Sciences ◽  
Industrial Economics ◽  
Research And Innovation ◽  
Innovation Sector ◽  
European Partner ◽  
Innovation Space

The paper is dedicated to the issues of Ukraine’s integration into the European Research Area (ERA) – a single research and innovation space open to the world and based on the internal market, which ensures the free exchange of researchers, scientific knowledge and technology. A comparative analysis of the institutional prerequisites for the creation of a single European research and innovation area has been conducted. The legislative basis of the European integration vector of Ukraine’s development in the science, technology and innovation sector is substantiated, while the flaws in the organisational and institutional support for euro-integrational reforms are identified. The idea and phases of ERA development are considered, the problems of implementing the Roadmap of Ukraine’s integration of into ERA are defined. The main European programs of scientific, technological and innovative cooperation are systematized and Ukraine’s participation in them is analysed. The case of cooperation between the Silesian Technological University «Silesian Polytechnic in Gliwice» and the Institute of Industrial Economics of the National Academy of Sciences of Ukraine is considered as a positive example of establishing collaboration in research and development between Ukrainian and European partner organizations. The authors propose the framework for creating institutional conditions that would ensure proper functioning and cohesion of the scientific, technological and innovative sector of Ukraine, as well as its effective integration to ERA in compliance with the strategic interests of international cooperation.

A Novel Prediction of Quaternary Structural Type of Proteins with Gene Ontology

2020 ◽  
Vol 27 (4) ◽  
pp. 313-320 ◽  
Author(s):  
Xuan Xiao ◽  
Wei-Jie Chen ◽  
Wang-Ren Qiu
Keyword(s):  
Gene Ontology ◽  
Feature Extraction ◽  
Extraction Method ◽  
Quaternary Structure ◽  
Structural Type ◽  
Sequence Information ◽  
Prediction System ◽  
Data Set ◽  
Feature Extraction Method ◽  
Prediction Rate

Background: The information of quaternary structure attributes of proteins is very important because it is closely related to the biological functions of proteins. With the rapid development of new generation sequencing technology, we are facing a challenge: how to automatically identify the four-level attributes of new polypeptide chains according to their sequence information (i.e., whether they are formed as just as a monomer, or as a hetero-oligomer, or a homo-oligomer). Objective: In this article, our goal is to find a new way to represent protein sequences, thereby improving the prediction rate of protein quaternary structure. Methods: In this article, we developed a prediction system for protein quaternary structural type in which a protein sequence was expressed by combining the Pfam functional-domain and gene ontology. turn protein features into digital sequences, and complete the prediction of quaternary structure through specific machine learning algorithms and verification algorithm. Results: Our data set contains 5495 protein samples. Through the method provided in this paper, we classify proteins into monomer, or as a hetero-oligomer, or a homo-oligomer, and the prediction rate is 74.38%, which is 3.24% higher than that of previous studies. Through this new feature extraction method, we can further classify the four-level structure of proteins, and the results are also correspondingly improved. Conclusion: After the applying the new prediction system, compared with the previous results, we have successfully improved the prediction rate. We have reason to believe that the feature extraction method in this paper has better practicability and can be used as a reference for other protein classification problems.

scholarly journals Product Recommendation System a Comprehensive Review

2021 ◽  
Vol 1022 ◽  
pp. 012021
Author(s):  
Jatin Sharma ◽  
Kartikay Sharma ◽  
Kaustubh Garg ◽  
Avinash Kumar Sharma
Keyword(s):  
Recommendation System ◽  
Comprehensive Review ◽  
Product Recommendation ◽  
System A

scholarly journals Where and Why Modeling Amyotrophic Lateral Sclerosis

2021 ◽  
Vol 22 (8) ◽  
pp. 3977
Author(s):  
Francesco Liguori ◽  
Susanna Amadio ◽  
Cinzia Volonté
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Comparative Analysis ◽  
Clinical Presentation ◽  
In Vivo Models ◽  
Comprehensive Review ◽  
Common Features ◽  
Neuroinflammatory Disease ◽  
Multicellular Organisms ◽  
Lateral Sclerosis

Over the years, researchers have leveraged a host of different in vivo models in order to dissect amyotrophic lateral sclerosis (ALS), a neurodegenerative/neuroinflammatory disease that is heterogeneous in its clinical presentation and is multigenic, multifactorial and non-cell autonomous. These models include both vertebrates and invertebrates such as yeast, worms, flies, zebrafish, mice, rats, guinea pigs, dogs and, more recently, non-human primates. Despite their obvious differences and peculiarities, only the concurrent and comparative analysis of these various systems will allow the untangling of the causes and mechanisms of ALS for finally obtaining new efficacious therapeutics. However, harnessing these powerful organisms poses numerous challenges. In this context, we present here an updated and comprehensive review of how eukaryotic unicellular and multicellular organisms that reproduce a few of the main clinical features of the disease have helped in ALS research to dissect the pathological pathways of the disease insurgence and progression. We describe common features as well as discrepancies among these models, highlighting new insights and emerging roles for experimental organisms in ALS.

scholarly journals Organization, operations, and success of environmental organized crime in Italy and India: A comparative analysis

2016 ◽  
Vol 14 (2) ◽  
pp. 160-182 ◽  
Author(s):  
Aunshul Rege ◽  
Anita Lavorgna
Keyword(s):  
Comparative Analysis ◽  
Organized Crime ◽  
Research Area ◽  
Sand Mining ◽  
Short And Long Term ◽  
Operational Practices ◽  
Organized Crime Groups ◽  
Organizational Mechanisms ◽  
Environmental Crimes

Despite the devastating short- and long-term consequences of resource-related environmental crimes, rampant illegal soil and sand mining continues worldwide. In countries such as India and Italy, organized crime groups have emerged as prominent illegal suppliers of soil and sand. The proposed study focuses on an understudied research area at the intersection between organized crime and environmental crimes, and offers a trans-comparative study of illegal soil and sand mining conducted by Indian and Italian organized crime groups with two main objectives. First, a comparative analysis of the organizational mechanisms, operational practices, threat management, and supporting cultural, regulatory, and policing factors is conducted. Second, a discussion of how these groups reflect mainstream models and theories of organized crime is offered.

Faults and Fault Ride Through strategies for grid-connected photovoltaic system: A comprehensive review

2022 ◽  
Vol 158 ◽  
pp. 112125
Author(s):  
Kamran Zeb ◽  
Saif Ul Islam ◽  
Imran Khan ◽  
Waqar Uddin ◽  
M. Ishfaq ◽  
...  
Keyword(s):  
Photovoltaic System ◽  
Comprehensive Review ◽  
System A ◽  
Fault Ride Through
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