user interface
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SUMMARY: Structures in PDB tend to contain errors. This is a very serious issue for authors that rely on such potentially problematic data. The community of structural biologists develops validation methods as countermeasures, which are also included in the PDB deposition system. But how are these validation efforts influencing the structure quality of subsequently published data? Which quality aspects are improving, and which remain problematic? We developed ValTrendsDB, a database that provides the results of an extensive exploratory analysis of relationships between quality criteria, size and metadata of biomacromolecules. Key input data are sourced from PDB. The discovered trends are presented via precomputed information-rich plots. ValTrendsDB also supports the visualization of a set of user-defined structures on top of general quality trends. Therefore, ValTrendsDB enables users to see the quality of structures published by selected author, laboratory or journal, discover quality outliers, etc. ValTrendsDB is updated weekly. AVAILABILITY AND IMPLEMENTATION: Freely accessible at http://ncbr.muni.cz/ValTrendsDB. The web interface was implemented in JavaScript. The database was implemented in C++. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Brain-computer interface (BCI) provides direct communication between the brain and an external device. BCI systems have become a trendy field of research in recent years. These systems can be used in a variety of applications to help both disabled and healthy people. Concerning significant BCI progress, we may assume that these systems are not very far from real-world applications. This review has taken into account current trends in BCI research. In this survey, 100 most cited articles from the WOS database were selected over the last 4 years. This survey is divided into several sectors. These sectors are Medicine, Communication and Control, Entertainment, and Other BCI applications. The application area, recording method, signal acquisition types, and countries of origin have been identified in each article. This survey provides an overview of the BCI articles published from 2016 to 2020 and their current trends and advances in different application areas.
- MeSH
- elektroencefalografie MeSH
- lidé MeSH
- mozek MeSH
- pomůcky pro komunikaci postižených * MeSH
- rozhraní mozek-počítač * MeSH
- uživatelské rozhraní počítače MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
In response to our study, the commentary by Infanti et al. (2024) raised critical points regarding (i) the conceptualization and utility of the user-avatar bond in addressing gaming disorder (GD) risk, and (ii) the optimization of supervised machine learning techniques applied to assess GD risk. To advance the scientific dialogue and progress in these areas, the present paper aims to: (i) enhance the clarity and understanding of the concepts of the avatar, the user-avatar bond, and the digital phenotype concerning gaming disorder (GD) within the broader field of behavioral addictions, and (ii) comparatively assess how the user-avatar bond (UAB) may predict GD risk, by both removing data augmentation before the data split and by implementing alternative data imbalance treatment approaches in programming.
- MeSH
- avatar MeSH
- lidé MeSH
- netholismus * MeSH
- řízené strojové učení MeSH
- strojové učení * MeSH
- uživatelské rozhraní počítače MeSH
- videohry MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- MeSH
- lidé MeSH
- mikropočítače * trendy využití MeSH
- periferní zařízení počítače * trendy využití MeSH
- počítačové zpracování obrazu MeSH
- programovací jazyk MeSH
- software MeSH
- televize * MeSH
- uživatelské rozhraní počítače MeSH
- videodiskový záznam metody přístrojové vybavení využití MeSH
- zpracování textu MeSH
- Check Tag
- lidé MeSH
BACKGROUND: Slow-fast analysis is a simple and effective method to reduce the influence of substitution saturation, one of the causes of phylogenetic noise and long branch attraction (LBA) artifacts. In several steps of increasing stringency, the slow-fast analysis omits the fastest substituting alignment positions from the analysed dataset and thus increases its signal/noise ratio. RESULTS: Our program SlowFaster automates the process of assessing the substitution rate of the alignment positions and the process of producing new alignments by deleting the saturated positions. Its use is very simple. It goes through the whole process in several steps: data input - necessary choices - production of new alignments. CONCLUSION: SlowFaster is a user-friendly tool providing new alignments prepared with slow-fast analysis. These data can be used for further phylogenetic analyses with lower risk of long branch attraction artifacts.
- MeSH
- dospělí MeSH
- elektroencefalografie metody přístrojové vybavení využití MeSH
- experimenty na lidech MeSH
- financování organizované MeSH
- kognitivní evokované potenciály P300 fyziologie MeSH
- lidé MeSH
- počítačové zpracování signálu přístrojové vybavení MeSH
- statistika jako téma metody MeSH
- systémy člověk-stroj MeSH
- učení fyziologie MeSH
- uživatelské rozhraní počítače MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- Klíčová slova
- teorie multimediálního uživatelského rozhraní,
- MeSH
- algoritmy MeSH
- Bayesova věta MeSH
- filozofie MeSH
- fyzika metody trendy MeSH
- kognitivní věda metody trendy MeSH
- lidé MeSH
- metafyzické vztahy mezi duší a tělem fyziologie klasifikace MeSH
- mozek fyziologie MeSH
- nervové receptory fyziologie MeSH
- percepce fyziologie klasifikace MeSH
- planetární evoluce MeSH
- rozpoznávání obrazu fyziologie klasifikace MeSH
- sebepojetí * MeSH
- statistika jako téma MeSH
- teorie mysli * fyziologie klasifikace MeSH
- vědomí * fyziologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
