Článek se zabývá potenciálem využití nástrojů webu 2.0 ve sportovním marketingu v návaznosti na jejich popularitu mezi uživateli internetu. Do webu 2.0 lze zahrnout nejrůznější internetové servery. Mezi nejznámější patří sociální síť Facebook, kterou podle nejnovějších sledování užívají 3 milióny Čechů. Za mikroblogy je zastoupen Twitter, který sice v ČR ještě není tak rozšířen, ale je spíš otázkou času, kdy se tomu tak stane. Servery sdílející multimédia zastupuje Youtube. K měření efektivnosti sociálních sítí lze využít buď všeobecných analytických nástrojů anebo lze využít specifické přístupy pro sport, vycházející ze specifičnosti sportovního produktu a prostředí.
Article consider potential of using Web 2.0 tools in sport marketing particularly because of its popularity among internet community. Web 2.0 contents many internet services. Facebook belongs to the most famous social network. Facebook has recently 3 million accounts in the Czech Republic. Twitter is the most important microblog and Youtube represents tool which is used for multimedia sharing. There are general analytical tools which are used for basic effectiveness measuring in web 2.0 tools. There are also specific approaches which can be used in effectiveness analyze for sport marketing which are described in the article.
- Keywords
- Facebook, Twitter, Youtube, měření efektivity, analýza webu 2.0, monitoring,
- MeSH
- Internet * statistics & numerical data utilization MeSH
- Data Interpretation, Statistical MeSH
- Humans MeSH
- Marketing MeSH
- Social Networking MeSH
- Sports * MeSH
- User-Computer Interface * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
Enzymes are in high demand for very diverse biotechnological applications. However, natural biocatalysts often need to be engineered for fine-tuning their properties towards the end applications, such as the activity, selectivity, stability to temperature or co-solvents, and solubility. Computational methods are increasingly used in this task, providing predictions that narrow down the space of possible mutations significantly and can enormously reduce the experimental burden. Many computational tools are available as web-based platforms, making them accessible to non-expert users. These platforms are typically user-friendly, contain walk-throughs, and do not require deep expertise and installations. Here we describe some of the most recent outstanding web-tools for enzyme engineering and formulate future perspectives in this field.
- MeSH
- Biotechnology * MeSH
- Internet * MeSH
- Solubility MeSH
- Computational Biology MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Control Web je distribuované objektové prostředí pro vývoj aplikací reálného času, vizualizaci procesů a simulací s využitím platformy Windows, vyvíjená více než 20 let. V průmyslových aplikacích se Control Web stal v ČR de facto velmi rozšířeným standardem. Pro tvorbu biomedicínských přístrojů nabízí možnosti snadného vizuálního návrhu jednotlivých řídících a vizualizačních komponent biotechnologických přístrojů. Jednou z dalších možností je i využití systému pro vizualizaci výukových simulací. Předchozí verzi tohoto systému byla např. využita pro realizaci simulátoru Golem nebo a tvorbu interaktivního simulátoru ledviny. Současná verze systému mimo jiné umožňuje využívat 3D komponenty a nástroje počítačového vidění. Pro tuto verzi je vyvíjena simulační komponenta, která umožní využít vizualizaci výstupů simulačního modelu běžícího na pozadí systému. Práce na tvorbě výukových lékařských simulátorů je mimo jiné podporována projektem MPO FR—TI3/869.
Control Web is a distributed object-oriented environment designed for the development of real-time applications, and process visualization and simulation using the Windows platform. This environment has been developed for more than 20 years until now; in fact, in industrial applications, Control Web has become a widely spread standard in the Czech Republic. In the field of biomedical instruments development, Control Web offers easy visual design of individual control and visualizing components of biotechnological devices. Another of its capabilities is the possibility of using the system for visualization of educational simulations. For example, a previous version of this system was used to implement the Golem simulator or to design an interactive kidney simulator. Besides others, the current version of the system supports 3D components and computer vision tools. A simulation component is being developed for this version, which will make it possible to use visualization of the outputs of a simulation model running in the background. Besides others, the development of medical training simulators has been supported by the project FR-TI3/869 of the Ministry of Industry and Trade of the Czech Republic.
SUMMARY: The New E-Resource for Drug Discovery (NERDD) is a quickly expanding web portal focused on the provision of peer-reviewed in silico tools for drug discovery. NERDD currently hosts tools for predicting the sites of metabolism (FAME) and metabolites (GLORY) of small organic molecules, for flagging compounds that are likely to interfere with biological assays (Hit Dexter), and for identifying natural products and natural product derivatives in large compound collections (NP-Scout). Several additional models and components are currently in development. AVAILABILITY AND IMPLEMENTATION: The NERDD web server is available at https://nerdd.zbh.uni-hamburg.de. Most tools are also available as software packages for local installation.
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.
- MeSH
- Data Management MeSH
- Electronic Health Records * MeSH
- Humans MeSH
- Semantic Web * MeSH
- Software MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
R-loops are common non-B nucleic acid structures formed by a three-stranded nucleic acid composed of an RNA-DNA hybrid and a displaced single-stranded DNA (ssDNA) loop. Because the aberrant R-loop formation leads to increased mutagenesis, hyper-recombination, rearrangements, and transcription-replication collisions, it is regarded as important in human diseases. Therefore, its prevalence and distribution in genomes are studied intensively. However, in silico tools for R-loop prediction are limited, and therefore, we have developed the R-loop tracker tool, which was implemented as a part of the DNA Analyser web server. This new tool is focused upon (1) prediction of R-loops in genomic DNA without length and sequence limitations; (2) integration of R-loop tracker results with other tools for nucleic acids analyses, including Genome Browser; (3) internal cross-evaluation of in silico results with experimental data, where available; (4) easy export and correlation analyses with other genome features and markers; and (5) enhanced visualization outputs. Our new R-loop tracker tool is freely accessible on the web pages of DNA Analyser tools, and its implementation on the web-based server allows effective analyses not only for DNA segments but also for full chromosomes and genomes.
- MeSH
- Algorithms * MeSH
- DNA chemistry genetics MeSH
- Genomics methods MeSH
- Internet statistics & numerical data MeSH
- Humans MeSH
- Genomic Instability * MeSH
- R-Loop Structures * MeSH
- Software MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
V rámci konference seznamujeme s e-learningovým kurzem “Management kvality ve zdravotnických organizacích”, který prošel akreditací příslušných ministerstev v několika státech EU. Současně předvedeme software “Simulační hra manažerských rolí – QM-RPS”. V současnosti jsou dostupné čtyři základní a deset volitelných modulů (různé kurzy/předměty v závislosti na individuálních požadavcích zákazníků). Kurz naplňje požadavky harmonizovaného schématu Evropské organizace pro kvalitu (EOQ) pro manažéry kvality. Ozřejmíme požadavek na potřebné zapojení laické komunity (občanů) do oblasti managementu kvality ve zdravotnickém prostředí. Kurz lze provozovat v rámci různých prostředí Webu. Předkládáme průběžné poznatky získané v rámci empirického výzkumu projektů Leonardo da Vinci SK 03/B/F/PP – 177014 “IMPROHEALTH", SK/06/3/F/PP – 177443 "IMPROHEALTH _COLLABORATIVE" and KEGA 3-4121-06 “Webové portály nástrojů, metod a případových studií managementu kvality, (“Web portal of tools, methods and case studies of the quality management".)
The aim of this paper is to present courseware "Quality Management in Healthcare Organization" supported by international projects and accredited by the respective ministries in some EU countries, and software "Quality Management Role-Play Simulation QM-RPS”. Four basic and ten optional modules (courses/subjects according to special custom requirements) have been developed. The course is in concert with the requirements of the harmonized scheme of the European Organization for Quality (EOQ) as related to quality nanagers. A claim for involvement of laypeople (citizens) in healthcare quality management will be discussed. Examples of "Quality Management in Healthcare" and application of Role-Play Simulation will be shown. The courseware and simulation can be embedded into different Web learning environments. We present ongoing and continuous knowledge acquired from theoretical and empirical research in projects Leonardo da Vinci SK 03/B/F/PP – 177014 “IMPROHEALTH", SK/06/3/F/PP – 177443 "IMPROHEALTH _COLLABORATIVE" and KEGA 3-4121-06 “Web portal of tools, methods and case studies of quality management".
PURPOSE: Rapid identification and characterization of multidrug-resistant Klebsiella pneumoniae strains is necessary due to the increasing frequency of severe infections in patients. The decreasing cost of next-generation sequencing enables us to obtain a comprehensive overview of genetic information in one step. The aim of this study is to demonstrate and evaluate the utility and scope of the application of web-based databases to next-generation sequenced (NGS) data. METHODOLOGY: The whole genomes of 11 clinical Klebsiella pneumoniae isolates were sequenced using Illumina MiSeq. Selected web-based tools were used to identify a variety of genetic characteristics, such as acquired antimicrobial resistance genes, multilocus sequence types, plasmid replicons, and identify virulence factors, such as virulence genes, cps clusters, urease-nickel clusters and efflux systems. RESULTS: Using web-based tools hosted by the Center for Genomic Epidemiology, we detected resistance to 8 main antimicrobial groups with at least 11 acquired resistance genes. The isolates were divided into eight sequence types (ST11, 23, 37, 323, 433, 495 and 562, and a new one, ST1646). All of the isolates carried replicons of large plasmids. Capsular types, virulence factors and genes coding AcrAB and OqxAB efflux pumps were detected using BIGSdb-Kp, whereas the selected virulence genes, identified in almost all of the isolates, were detected using CLC Genomic Workbench software. CONCLUSION: Applying appropriate web-based online tools to NGS data enables the rapid extraction of comprehensive information that can be used for more efficient diagnosis and treatment of patients, while data processing is free of charge, easy and time-efficient.
- MeSH
- Anti-Bacterial Agents pharmacology MeSH
- Databases, Genetic MeSH
- DNA, Bacterial genetics MeSH
- Genome, Bacterial * MeSH
- Internet MeSH
- Klebsiella pneumoniae genetics MeSH
- Drug Resistance, Multiple, Bacterial genetics MeSH
- Multilocus Sequence Typing MeSH
- Plasmids MeSH
- Base Sequence MeSH
- Publication type
- Journal Article MeSH
- MeSH
- Physiology MeSH
- Internet utilization MeSH
- Multimedia utilization MeSH
- Computer-Assisted Instruction * methods MeSH
- Computer Simulation * MeSH
- Programmed Instructions as Topic MeSH
- Software MeSH
- Models, Theoretical * MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
