scholarly journals Recent Trends in Cancer Genomics and Bioinformatics Tools Development

2021 ◽  
Vol 22 (22) ◽  
pp. 12146
Author(s):  
Anastasia A. Anashkina ◽  
Elena Y. Leberfarb ◽  
Yuriy L. Orlov
Keyword(s):  
Cancer Genomics ◽  
Research Trends ◽  
Medical Genetics ◽  
Bioinformatics Tools ◽  
Recent Trends

We overview recent research trends in cancer genomics, bioinformatics tools development and medical genetics, based on results discussed in papers collections “Medical Genetics, Genomics and Bioinformatics” (https://www [...]

scholarly journals A Review of Virtual and Mixed Reality Applications in Construction Safety Literature

Safety ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 51 ◽  
Author(s):  
H. Frank Moore ◽  
Masoud Gheisari
Keyword(s):  
Virtual Reality ◽  
Mixed Reality ◽  
Construction Safety ◽  
Research Trends ◽  
Assessment Methodology ◽  
Recent Trends

Over the last decade, researchers have used virtual- and mixed-reality (VR-MR) techniques for various safety-related applications such as training, hazard monitoring, and preconstruction planning. This paper reviews the recent trends in virtual- and mixed-reality applications in construction safety, explicitly focusing on virtual-reality and mixed-reality techniques as the two major types of computer-generated simulated experiences. Following a systematic literature assessment methodology, this study summarizes the results of articles that have been published over the last decade and illustrates the research trends of virtual- and mixed-reality applications in construction safety while focusing on the technological components of individual studies.

The Current State of Personality Disorders Through the Lens of PDTRT

2019 ◽  
pp. 25-39
Author(s):  
Carl W. Lejuez ◽  
Alexis Matusiewicz ◽  
Nadia Bounoua ◽  
James Soldinger
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Personality Disorders ◽  
Alternative Model ◽  
Research Trends ◽  
Current State ◽  
Time Period ◽  
History Of ◽  
Recent Trends ◽  
Theory Research

This chapter examines recent trends in personality disorder research as they appear in one of the top personality disorder journals—Personality Disorders: Theory, Research, and Treatment (PDTRT). The chapter provides an overview of the history of PDTRT, as well as describes the types of submissions and manuscripts published in the journal over the last 5 years. It also reports on research trends over that time period, noting increasing interest in the alternative model for personality disorders, the surfeit of research in borderline personality disorder and psychopathy, the increasing use of dimensional versus categorical approaches, the use of nonclinical samples, and the extension of personality disorder traits to younger populations.

scholarly journals Scientometric analysis on applications and recent research trends in electric vehicles for energy saving

2021 ◽  
Vol 309 ◽  
pp. 01161
Author(s):  
Rakesh Dadhwal ◽  
Raman Kumar ◽  
Jasgurpreet Singh Chohan ◽  
Jatinder Kaur
Keyword(s):  
Energy Saving ◽  
Electric Vehicles ◽  
Fossil Fuel ◽  
Energy Savings ◽  
Operating Cost ◽  
Research Trends ◽  
Scientometric Analysis ◽  
Research Information ◽  
Recent Trends ◽  
Conference Papers

Electric vehicles are playing a major role in reduction of the environmental depletion, greenhouse effect and in energy saving. The electric vehicles provide cleaner and quieter ambiance, reduce the operating cost and saves the energy compared to fossil fuel powered vehicles because electric vehicles consume 75% of the total energy to run the vehicle. In this work scientometric analysis of electric vehicles for energy savings presented by the authors. The scientometric analysis is used to show the recent research trends and applications of various types of electric vehicles for energy saving. The Scopus database has been utilized to extract the data on existing research information on electric vehicles for energy saving. This scientometric analysis focuses on the documents published from 2011 to 2020 only to investigate the recent trends. The analysis showed the comparison between the top countries and top source titles who have published the articles and conference papers on electric vehicles for energy saving. VOSviewer software is used to develop the keyword network and co-authorship network.

Trends in Managing Multimedia Semantics

2018 ◽  
pp. 1690-1702
Author(s):  
Roberto Poli ◽  
Achilles D. Kameas ◽  
Lambrini Seremeti
Keyword(s):  
Semantic Content ◽  
Research Trends ◽  
Multimedia Data ◽  
Multimedia Content ◽  
Distributed Information Systems ◽  
Distributed Information ◽  
Multimedia Semantics ◽  
Formal Framework ◽  
Recent Trends ◽  
Multimedia Ontologies

This paper reviews various efforts to define and capture the semantics of multimedia data. These efforts are particularly relevant to the problem of storing, managing and querying the semantic content of such data. Since there is not yet an accepted solution to the problem of how to represent, organize and manage multimedia data and the related semantics by means of a formal framework, this paper aims at providing some major research trends in this area. The focus is on ontologies, which allow the exchange of semantics of multimedia content between distributed information systems. This paper aims at reporting on recent trends in the development of multimedia ontologies.

scholarly journals Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Erik N. Bergstrom ◽  
Mark Barnes ◽  
Iñigo Martincorena ◽  
Ludmil B. Alexandrov
Keyword(s):  
Null Hypothesis ◽  
Cancer Genomics ◽  
Human Cancer ◽  
Mutational Signatures ◽  
Driver Genes ◽  
Link Type ◽  
Bioinformatics Tools ◽  
Base Substitutions ◽  
Extensive Documentation ◽  
Cancer Genomes

Abstract Background Performing a statistical test requires a null hypothesis. In cancer genomics, a key challenge is the fast generation of accurate somatic mutational landscapes that can be used as a realistic null hypothesis for making biological discoveries. Results Here we present SigProfilerSimulator, a powerful tool that is capable of simulating the mutational landscapes of thousands of cancer genomes at different resolutions within seconds. Applying SigProfilerSimulator to 2144 whole-genome sequenced cancers reveals: (i) that most doublet base substitutions are not due to two adjacent single base substitutions but likely occur as single genomic events; (ii) that an extended sequencing context of ± 2 bp is required to more completely capture the patterns of substitution mutational signatures in human cancer; (iii) information on false-positive discovery rate of commonly used bioinformatics tools for detecting driver genes. Conclusions SigProfilerSimulator’s breadth of features allows one to construct a tailored null hypothesis and use it for evaluating the accuracy of other bioinformatics tools or for downstream statistical analysis for biological discoveries. SigProfilerSimulator is freely available at https://github.com/AlexandrovLab/SigProfilerSimulator with an extensive documentation at https://osf.io/usxjz/wiki/home/.

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