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The authors present an account on the historical development of the most important contemporary information network INTERNET from its beginnings in the sixties to the present time. They explain the historical circumstances of its development, elucidate its character and describe the creation and fusion of all main information networks during the seventies, eighties and nineties up to their present shape. They deal with the contemporary organizational structure of INTERNET, safety and reliability of transmitted information and values of its services. They explain terms like E-mail, Web, multimedia and discussion fora and describe how to join this gigantic information network in practice.
- MeSH
- dějiny 20. století MeSH
- internet * dějiny organizace a řízení MeSH
- lékařská informatika * MeSH
- počítačové komunikační sítě MeSH
- Check Tag
- dějiny 20. století MeSH
- Publikační typ
- anglický abstrakt MeSH
- časopisecké články MeSH
- historické články MeSH
- Geografické názvy
- Spojené státy americké MeSH
Electronic Health Record (EHR) systems currently in use are not designed for widely interoperable longitudinal health data. Therefore, EHR data cannot be properly shared, managed and analyzed. In this article, we propose two approaches to making EHR data more comprehensive and FAIR (Findable, Accessible, Interoperable, and Reusable) and thus more useful for diagnosis and clinical research. Firstly, the data modeling based on the LinkML framework makes the data interoperability more realistic in diverse environments with various experts involved. We show the first results of how diverse health data can be integrated based on an easy-to-understand data model and without loss of available clinical knowledge. Secondly, decentralizing EHRs contributes to the higher availability of comprehensive and consistent EHR data. We propose a technology stack for decentralized EHRs and the reasons behind this proposal. Moreover, the two proposed approaches empower patients because their EHR data can become more available, understandable, and usable for them, and they can share their data according to their needs and preferences. Finally, we explore how the users of the proposed solution could be involved in the process of its validation and adoption.
- Klíčová slova
- Distributed electronic health records, FAIR principles, HL7 FHIR, bio-data management, ontology,
- MeSH
- data management MeSH
- elektronické zdravotní záznamy * MeSH
- lidé MeSH
- sémantický web * MeSH
- software MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
AIM: To describe a randomized controlled trial protocol that will evaluate the effectiveness of two web-based genomic nursing education interventions. BACKGROUND: Preparing future nurses to be competent in genetic and genomic concepts is fundamental to ensure appropriate clinical application. However, genetics-genomics concepts are still new in the field of nursing. Little is known about what type and kind of web-based nursing education is effective in improving the knowledge of nursing students. To address these knowledge gaps, a web-based 'Genomic Nursing Education Intervention' will be developed and compared with an existing online education programme. DESIGN: A randomized controlled trial of two groups with pre-test and repeated posttesting. METHODS: The Genomic Nursing Concept Inventory, a validated tool, will be used to assess the genetics-genomics knowledge of nursing students. Participants will be randomly allocated to either a control or an intervention group. The control group will receive the standard web-based nursing education, while the intervention group will receive a newly developed web-based education intervention. Outcome measures include the students' knowledge level of nursing genetics-genomics concepts. Participants will be retested at 3 and 6 months. CONCLUSION: Current evidence shows that ensuring nurses have adequate education in genetic-genomic concepts is challenging. This study will demonstrate which of two web-based nursing education methods is more effective in teaching genetic-genomic concepts. This research project will better prepare the nursing profession in their careers for the emerging advance technologies in genetics-genomics and personalized health care. IMPACT: Current evidence shows major challenges in ensuring that nurses have adequate education in genetics-genomics concepts. Less is known about what approaches to web-based education are effective to improve the knowledge gaps of nursing students in genetics-genomics concepts. This study will determine which type of web-based nursing education is effective in improving the genetics-genomics knowledge of nursing students. This research project will help better prepare nurses in dealing with advances in genetics-genomics in their careers. TRIAL REGISTRATION: This study is registered in ClinicalTrials.gov (ID number NCT03963687) https://clinicaltrials.gov/show/NCT03963687.
目标: 描述一个评估两种基于网络基因组护理教育干预措施效果的随机对照试验方案。 背景资料: 培养未来的护士在基因和基因组概念方面的能力是确保其掌握适当临床应用的基础。然而,遗传学-基因组学的概念在护理领域仍然算是新知识。目前还不清楚怎样的网络护理教育能有效地提高护理生的知识水平。为解决这些知识缺口,我们将开发网络“基因组护理教育干预”,并与现有的在线教育计划进行比较。 设计: 对测试前组和重复测试后组进行随机对照试验。 方法: 基因组护理概念量表是一个经过验证的工具,将用于评估护理生的遗传学-基因组学知识。参与者将被随机分配到对照组或干预组。对照组接受标准的网络护理教育,干预组接受新开发的网络教育干预。结果测量包含了学生对护理遗传学-基因组学概念的知识水平。在3个月和6个月时对参与者进行重新测试。 结论: 目前的证据表明,确保护士掌握基因-基因组概念方面充足的教育具有挑战性。这项研究证明两种基于网络的护理教育方法中哪一种能更有效地教授基因-基因组概念。这项研究项目将更好地为护理专业人士的职业生涯做好准备,以适应遗传学领域新兴的先进技术--即基因组学和个性化医疗保健。 影响: 目前的证据显示,确保护士掌握充足的遗传学-基因组学概念教育存在重大的挑战性。目前还不清楚哪一种网络教育方法可以有效地改善护士生在遗传学-基因组学概念方面的知识差距。本研究将确定哪类网络护理教育能有效提高护士生在遗传学-基因组学方面的知识。这项研究项目将有助于护士在职业生涯中更好地应对在遗传学-基因组学方面取得的进步。 试验注册: 本研究在ClinicalTrials.gov上注册(注册编号:NCT03963687)https://clinicaltrials.gov/show/NCT03963687.
- Klíčová slova
- education, genetics, genomics, midwives, nurses, nursing, protocol, web based,
- MeSH
- genomika výchova MeSH
- internet MeSH
- lidé MeSH
- randomizované kontrolované studie jako téma MeSH
- studenti ošetřovatelství * MeSH
- studium ošetřovatelství bakalářské * MeSH
- studium ošetřovatelství * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- protokol klinické studie MeSH
BACKGROUND: The aim of this review was to summarise the experience on implementation of information technology to support the teaching and learning process in medicine. Particular attention was paid to web-based tutorials, their impact on increasing the effectiveness of medical instruction and motivation of students towards self-directed learning. Most of the studies selected for the purpose of the review comprised evaluation of the web-tutorials in view of practical implementation, strengths, weaknesses, and main preferences in comparison with traditional lecture-based education. METHOD AND RESULTS: We searched MEDLINE via PubMed using MeSH term "computer-assisted learning" between 1996 and 2005 and selected for inclusion in this review were studies on the implementation and evaluation of web based tutorials in medical education. Additional related papers were obtained through cross-referencing. We found that overall, students prefer Web tutorials to traditional lecture-based classes for accessibility, ease of use, freedom of navigation, high medical image quality and advantage of repeated practice, that web-based learning has been continually developing and that it is a very important tool in Evidence Based Medicine. CONCLUSIONS: Web based education is an important tool in medical training. It will require transformation in the way medicine is taught from instructor based to self directed learning. It is above all seen as a device for information retrieval and storage.
- MeSH
- internet * MeSH
- počítačem řízená výuka * MeSH
- studium lékařství pregraduální * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Geografické názvy
- Česká republika MeSH
E-photosynthesis framework is a web-based platform for modeling and analysis of photosynthetic processes. Compared to its earlier version, the present platform employs advanced software methods and technologies to support an effective implementation of vastly diverse kinetic models of photosynthesis. We report on the first phase implementation of the tool new version and demonstrate the functionalities of model visualization, presentation of model components, rate constants, initial conditions and of model annotation. The demonstration also includes export of a model to the Systems Biology Markup Language format and remote numerical simulation of the model.
BACKGROUND: Despite the ever-increasing offering of SMART technologies (ie, computer-controlled devices acting intelligently and capable of monitoring, analyzing or reporting), a wide gap exists between the development of new technological innovations and their adoption in everyday care for older adults. OBJECTIVE: This study aims to explore the barriers and concerns related to the adoption of SMART technologies among different groups of stakeholders. METHODS: Data from 4 sources were used: semistructured in-person or internet-based interviews with professional caregivers (n=12), structured email interviews with experts in the area of aging (n=9), a web-based survey of older adults (>55 years) attending the Virtual University of the Third Age (n=369), and a case study on the adoption of new technology by an older adult care facility. RESULTS: Although all stakeholders noted the potential of SMART technologies to improve older adult care, multiple barriers to their adoption were identified. Caregivers perceived older adults as disinterested or incompetent in using technology, reported preferring known strategies over new technologies, and noted own fears of using technology. Experts viewed technologies as essential but expressed concerns about cost, low digital competency of older adults, and lack of support or willingness to implement technologies in older adult care. Older adults reported few concerns overall, but among the mentioned concerns were lack of ability or interest, misuse of data, and limited usefulness (in specific subgroups or situations). In addition, older adults' ratings of the usefulness of different technologies correlated with their self-rating of digital competency (r=0.258; P<.001). CONCLUSIONS: Older adults appeared to have more positive views of various technologies than professional caregivers; however, their concerns varied by the type of technology. Lack of competence and lack of support were among the common themes, suggesting that educationally oriented programs for both older adults and their caregivers should be pursued.
- Klíčová slova
- SMART, adults, caregivers, mobile phone, older, technological, technologies,
- MeSH
- elektronická pošta MeSH
- lidé MeSH
- senioři MeSH
- stárnutí MeSH
- strach MeSH
- technologie * MeSH
- zlepšení kvality * MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Next generation sequencing (NGS) technology allows laboratories to investigate virome composition in clinical and environmental samples in a culture-independent way. There is a need for bioinformatic tools capable of parallel processing of virome sequencing data by exactly identical methods: this is especially important in studies of multifactorial diseases, or in parallel comparison of laboratory protocols. RESULTS: We have developed a web-based application allowing direct upload of sequences from multiple virome samples using custom parameters. The samples are then processed in parallel using an identical protocol, and can be easily reanalyzed. The pipeline performs de-novo assembly, taxonomic classification of viruses as well as sample analyses based on user-defined grouping categories. Tables of virus abundance are produced from cross-validation by remapping the sequencing reads to a union of all observed reference viruses. In addition, read sets and reports are created after processing unmapped reads against known human and bacterial ribosome references. Secured interactive results are dynamically plotted with population and diversity charts, clustered heatmaps and a sortable and searchable abundance table. CONCLUSIONS: The Vipie web application is a unique tool for multi-sample metagenomic analysis of viral data, producing searchable hits tables, interactive population maps, alpha diversity measures and clustered heatmaps that are grouped in applicable custom sample categories. Known references such as human genome and bacterial ribosomal genes are optionally removed from unmapped ('dark matter') reads. Secured results are accessible and shareable on modern browsers. Vipie is a freely available web-based tool whose code is open source.
- Klíčová slova
- Assembly, Metagenomics, NGS analysis, Parallel processing, Viral dark matter, Viromes, Virus, Visualization,
- MeSH
- genetická variace MeSH
- genomika metody MeSH
- internet * MeSH
- lidé MeSH
- mikrobiota genetika MeSH
- software * MeSH
- viry genetika MeSH
- vysoce účinné nukleotidové sekvenování * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Nowadays, the use of digital technology is an important issue that should be addressed during the treatment of people who have eating disorders. The involvement or absence of this issue reflects the understanding, experience, and atttude of health-care professionals toward their clients' use of technology. The aim of the present study was to investigate the perceptions of health-care professionals and their assessment of their clients' usage of digital technology while developing strategies for treatment. Semistructured interviews with 30 professionals were performed from October 2015 to June 2016 and a thematic analysis was used to analyze the data. The health-care professionals' views could be summarized in three thematic groups: (1) technology use is not relevant for the cooperation; (2) technology use is relevant for the cooperation and addressed generally; and (3) technology use is relevant for the cooperation and addressed specifically. The results are discussed in relation to the theoretical model presented by Rodgers about the impact of technology on disordered eating behaviors and the implications for practice.
- MeSH
- dospělí MeSH
- internet * MeSH
- lidé středního věku MeSH
- lidé MeSH
- poruchy příjmu potravy epidemiologie terapie MeSH
- postoj zdravotnického personálu * MeSH
- představa o vlastním těle MeSH
- rozhovory jako téma MeSH
- sociální média * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
Recombinant proteins play pivotal roles in numerous applications including industrial biocatalysts or therapeutics. Despite the recent progress in computational protein structure prediction, protein solubility and reduced aggregation propensity remain challenging attributes to design. Identification of aggregation-prone regions is essential for understanding misfolding diseases or designing efficient protein-based technologies, and as such has a great socio-economic impact. Here, we introduce AggreProt, a user-friendly webserver that automatically exploits an ensemble of deep neural networks to predict aggregation-prone regions (APRs) in protein sequences. Trained on experimentally evaluated hexapeptides, AggreProt compares to or outperforms state-of-the-art algorithms on two independent benchmark datasets. The server provides per-residue aggregation profiles along with information on solvent accessibility and transmembrane propensity within an intuitive interface with interactive sequence and structure viewers for comprehensive analysis. We demonstrate AggreProt efficacy in predicting differential aggregation behaviours in proteins on several use cases, which emphasize its potential for guiding protein engineering strategies towards decreased aggregation propensity and improved solubility. The webserver is freely available and accessible at https://loschmidt.chemi.muni.cz/aggreprot/.
- MeSH
- algoritmy MeSH
- internet * MeSH
- konformace proteinů MeSH
- neuronové sítě MeSH
- proteinové agregáty * MeSH
- proteinové inženýrství metody MeSH
- proteiny chemie genetika MeSH
- rozpustnost MeSH
- sbalování proteinů MeSH
- software * MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- proteinové agregáty * MeSH
- proteiny MeSH
BACKGROUND: The advancement of sequencing technologies today has made a plethora of whole-genome re-sequenced (WGRS) data publicly available. However, research utilizing the WGRS data without further configuration is nearly impossible. To solve this problem, our research group has developed an interactive Allele Catalog Tool to enable researchers to explore the coding region allelic variation present in over 1,000 re-sequenced accessions each for soybean, Arabidopsis, and maize. RESULTS: The Allele Catalog Tool was designed originally with soybean genomic data and resources. The Allele Catalog datasets were generated using our variant calling pipeline (SnakyVC) and the Allele Catalog pipeline (AlleleCatalog). The variant calling pipeline is developed to parallelly process raw sequencing reads to generate the Variant Call Format (VCF) files, and the Allele Catalog pipeline takes VCF files to perform imputations, functional effect predictions, and assemble alleles for each gene to generate curated Allele Catalog datasets. Both pipelines were utilized to generate the data panels (VCF files and Allele Catalog files) in which the accessions of the WGRS datasets were collected from various sources, currently representing over 1,000 diverse accessions for soybean, Arabidopsis, and maize individually. The main features of the Allele Catalog Tool include data query, visualization of results, categorical filtering, and download functions. Queries are performed from user input, and results are a tabular format of summary results by categorical description and genotype results of the alleles for each gene. The categorical information is specific to each species; additionally, available detailed meta-information is provided in modal popups. The genotypic information contains the variant positions, reference or alternate genotypes, the functional effect classes, and the amino-acid changes of each accession. Besides that, the results can also be downloaded for other research purposes. CONCLUSIONS: The Allele Catalog Tool is a web-based tool that currently supports three species: soybean, Arabidopsis, and maize. The Soybean Allele Catalog Tool is hosted on the SoyKB website ( https://soykb.org/SoybeanAlleleCatalogTool/ ), while the Allele Catalog Tool for Arabidopsis and maize is hosted on the KBCommons website ( https://kbcommons.org/system/tools/AlleleCatalogTool/Zmays and https://kbcommons.org/system/tools/AlleleCatalogTool/Athaliana ). Researchers can use this tool to connect variant alleles of genes with meta-information of species.
- Klíčová slova
- Allele Catalog Pipeline, Allele Catalog Tool, Alleles in Gene, Data Visualization, Variant Calling Pipeline,
- MeSH
- alely * MeSH
- Arabidopsis * genetika MeSH
- data mining * metody MeSH
- datové soubory jako téma * MeSH
- frekvence genu MeSH
- genotyp MeSH
- Glycine max * genetika MeSH
- internet * MeSH
- kukuřice setá * genetika MeSH
- metadata MeSH
- mutace MeSH
- pigmentace genetika MeSH
- rostlinné geny genetika MeSH
- software * MeSH
- substituce aminokyselin MeSH
- vegetační klid genetika MeSH
- vizualizace dat MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- DOG1 protein, Arabidopsis MeSH Prohlížeč
