#13455. Нейронная сеть на основе анализа угроз и рисков для модели химического взрыва для прогнозирования опасностей на нефтеперерабатывающем заводе

June 2025publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript5020 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Chemical Health and Safety
Control and Optimization
Control and Systems Engineering
Human Factors and Ergonomics
Human-Computer Interaction
Industrial and Manufacturing Engineering
Information Systems
OR ANOTHER
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#10189. Anything Can Happen in Women’s Tennis, or Can It? An Empirical Investigation Into Bias in Sports Journalism

November 2025publication date
Proposal available till 03-06-2025
4 total number of authors per manuscript5500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Communication;
Social Sciences (miscellaneous);
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The claim that “anything is possible in women’s sports” frequently employed by both sports journalists and general audiences highlights the widespread perception of a seemingly uncontested truth about female athletes and their (in)ability to perform consistently at peak levels in comparison to male athletes. We focus on this treatment of female athletes in the world of women’s tennis and contest the “common sense” and “experience” justifications of the unpredictability in women’s sports with actual data to reveal clear media bias. Utilising a database of the Association of Tennis Professionals and Women’s Tennis Association tournaments dating back to the late 1960s and covering approximately 225,000 fully described matches, we examine the “anything can happen in women’s tennis” assumption through logistic regression, focusing on the effect of rank differential on the winning probability in the match while controlling for other factors (tournament type and stage, court surface, age differential, and elite players).
Keywords:
empirical analysis; gender bias; logistic regression; sports journalism; tennis

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#8327. A systematic review of tools designed for teacher proxy-report of children’s physical literacy or constituting elements

November 2025publication date
Proposal available till 14-06-2025
4 total number of authors per manuscript5500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Physical Therapy, Sports Therapy and Rehabilitation;
Nutrition and Dietetics;
Medicine (miscellaneous);
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Background: Physical literacy (PL) in childhood is essential for a healthy active lifestyle, with teachers playing a critical role in guiding its development. Teachers can assist children to acquire the skills, confidence, and creativity required to perform diverse movements and physical activities. However, to detect and directly intervene on the aspects of children’s PL that are suboptimal, teachers require valid and reliable measures. This systematic review critically evaluates the psychometric properties of teacher proxy-report instruments for assessing one or more of the 30 elements within the four domains (physical, psychological, cognitive, social) of the Australian Physical Literacy Framework (APLF), in children aged 5–12 years. Secondary aims were to: examine alignment of each measure (and relevant items) with the APLF and provide recommendations for teachers in assessing PL. Methods: Seven electronic databases (Academic Search Complete, CINAHL Complete, Education Source, Global Health, MEDLINE Complete, PsycINFO, and SPORTDiscus) were systematically searched originally in October 20XX, with an updated search in April 20XX. Eligible studies were peer-reviewed English language publications that sampled a population of children with mean age between 5 and 12 years and focused on developing and evaluating at least one psychometric property of a teacher proxy-report instrument for assessing one or more of the 30 APLF elements. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance was followed for the conduct and reporting of this review. The methodological quality of included studies and quality of psychometric properties of identified tools were evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidance. Alignment of each measure (and relevant items) with the APLF domains and 30 elements was appraised.
Keywords:
Assessment; Child; COSMIN; Measurement; Physical literacy; Psychometrics; Systematic review

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#12661. Editorial Commentary

September 2025publication date
Proposal available till 18-05-2025
4 total number of authors per manuscript6020 $

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Journal’s subject area:
Cultural Studies;
Applied Psychology;
or another
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More details about the manuscript: Arts & Humanities Citation Index or/and Social Sciences Citation Index
Abstract:
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Keywords:
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#5566. CoolBox: a flexible toolkit for visual analysis of genomics data

September 2025publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript5500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Applied Mathematics;
Computer Science Applications;
Biochemistry;
Structural Biology;
Molecular Biology;
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Abstract:
Data visualization, especially the genome track plots, is crucial for genomics researchers to discover patterns in large-scale sequencing dataset. Although existing tools works well for producing a normal view of the input data, they are not convenient when users want to create customized data representations. Such gap between the visualization and data processing, prevents the users to uncover more hidden structure of the dataset. We developed CoolBox—an open-source toolkit for visual analysis of genomics data. This user-friendly toolkit is highly compatible with the Python ecosystem and customizable with a well-designed user interface. It can be used in various visualization situations like a Swiss army knife. For example, to produce high-quality genome track plots or fetch commonly used genomic data files with a Python script or command line, to explore genomic data interactively within Jupyter environment or web browser. Moreover, owing to the highly extensible Application Programming Interface design, users can customize their own tracks without difficulty, which greatly facilitate analytical, comparative genomic data visualization tasks.
Keywords:
Genome browser; Genomics; Visualization

Contacts :
0