National Information Systems of Natural Crises in Some Countries

Context: The natural crises national information system (NISNC) has a key role in promoting natural crisis management by analyzing and understanding the situation, managing and allocating the resources, coordinating actions and supporting of decision making and exchanging of information. The purpose of this paper is to examine the NISNC general and technical characteristics and functional capabilities in Germany, the Netherlands, Romania, and Turkey. Evidence Acquisition: This comparative study was conducted using databases like Google Scholar, Science Direct, PubMed and Scopus in the period from 2000 to 2017. The following featured were under the focus: being nationalized and computerized and availability of information. From among the 41 available studies, 24 were examined among which 12 belonged to Germany, 6 to the Netherlands, 3 to Romania and 3 to Turkey. Finally, the information obtained from different countries was compared on the basis of comparative tables.Results: In all countries, the Interior Ministry was in charge of NISNC and NISNC is used in the entire cycle of crisis management (the Netherlands is used only in the reaction phase). This system has a modular design, distributed database, and mirror server. Synchronization allows the data recording in a system gets registered in other systems. NISNC is designed for static and dynamic data collection, with offline access allowed only in the Netherlands. The most common functional capabilities of the NISNC in selected countries were resource management, communication and reporting, status management and geographic information system. Conclusion: NISNC leads to the improvement of cooperation, information exchange and coordination in the management of natural crises through providing methods, terminology, information formats, and standard operating procedures

Synonymy and Polysemy in Legal Terminology and Their Applications to Bilingual and Bijural Translation

The paper focuses on synonymy and polysemy in the language of law in English-speaking countries. The introductory part briefly outlines the process of legal translation and tackle the specificity of bijural translation. Then, traditional understanding of what a term is and its application to legal terminology is considered; three different levels of vocabulary used in legal texts are outlined and their relevance to bijural translation explained. Next, synonyms in the language of law are considered with respect to their intension and distribution, and examples are given to show that most expressions or phrases which are interchangeable synonyms in the general language should be treated carefully in legal translation. Finally, polysemes in legal terminology are discussed and examples given to illustrate problems potentially encountered by translators

Strategic Shift to a Diagnostic Model of Care in a Multi-Site Group Dental Practice.

BackgroundDocumenting standardized dental diagnostic terms represents an emerging change for how dentistry is practiced. We focused on a mid-sized dental group practice as it shifted to a policy of documenting patients' diagnoses using standardized terms in the electronic health record.MethodsKotter's change framework was translated into interview questions posed to the senior leadership in a mid-size dental group practice. In addition, quantitative content analyses were conducted on the written policies and forms before and after the implementation of standardized diagnosis documentation to assess the extent to which the forms and policies reflected the shift. Three reviewers analyzed the data individually and reached consensuses where needed.ResultsKotter's guiding change framework explained the steps taken to 97 percent utilization rate of the Electronic Health Record and Dental Diagnostic Code. Of the 96 documents included in the forms and policy analysis, 31 documents were officially updated but only two added a diagnostic element.ConclusionChange strategies established in the business literature hold utility for dental practices seeking diagnosis-centered care.Practical implicationsA practice that shifts to a diagnosis-driven care philosophy would be best served by ensuring that the change process follows a leadership framework that is calibrated to the organization's culture

Issues of shaping the students’ professional and terminological competence in science area of expertise in the sustainable development era

The paper deals with the problem of future biology teachers’ vocational preparation process and shaping in them of those capacities that contribute to the conservation and enhancement of our planet’s biodiversity as a reflection of the leading sustainable development goals of society. Such personality traits are viewed through the prism of forming the future biology teachers’ professional and terminological competence. The main aspects and categories that characterize the professional and terminological competence of future biology teachers, including terminology, nomenclature, term, nomen and term element, have been explained. The criteria and stages of shaping the future biology teachers’ professional and terminological competence during the vocational training process have been fixed. Methods, techniques, technologies, guiding principles and forms of staged work on the forming of an active terminological dictionary of students have been described and specified. The content of the distant special course “Latin. Botanical Terminology”, which provides training for future teachers to study the professional subjects and to understand of international scientific terminology, has been presented. It is concluded that the proper level of formation of the future biology teachers’ professional and terminological competence will eventually ensure the qualitative preparation of pupils for life in a sustainable development era

Reliability and validity in comparative studies of software prediction models

Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood. In this simulation study, we have examined a frequently used research procedure comprising three main ingredients: a single data sample, an accuracy indicator, and cross validation. Typically, these empirical studies compare a machine learning model with a regression model. In our study, we use simulation and compare a machine learning and a regression model. The results suggest that it is the research procedure itself that is unreliable. This lack of reliability may strongly contribute to the lack of convergence. Our findings thus cast some doubt on the conclusions of any study of competing software prediction models that used this research procedure as a basis of model comparison. Thus, we need to develop more reliable research procedures before we can have confidence in the conclusions of comparative studies of software prediction models

Reporting quality of music intervention research in healthcare: A systematic review

INTRODUCTION: Concomitant with the growth of music intervention research, are concerns about inadequate intervention reporting and inconsistent terminology, which limits validity, replicability, and clinical application of findings. OBJECTIVE: Examine reporting quality of music intervention research, in chronic and acute medical settings, using the Checklist for Reporting Music-based Interventions. In addition, describe patient populations and primary outcomes, intervention content and corresponding interventionist qualifications, and terminology. METHODS: Searching MEDLINE, PubMed, CINAHL, HealthSTAR, and PsycINFO we identified articles meeting inclusion/exclusion criteria for a five-year period (2010-2015) and extracted relevant data. Coded material included reporting quality across seven areas (theory, content, delivery schedule, interventionist qualifications, treatment fidelity, setting, unit of delivery), author/journal information, patient population/outcomes, and terminology. RESULTS: Of 860 articles, 187 met review criteria (128 experimental; 59 quasi-experimental), with 121 publishing journals, and authors from 31 countries. Overall reporting quality was poor with <50% providing information for four of the seven checklist components (theory, interventionist qualifications, treatment fidelity, setting). Intervention content reporting was also poor with <50% providing information about the music used, decibel levels/volume controls, or materials. Credentialed music therapists and registered nurses delivered most interventions, with clear differences in content and delivery. Terminology was varied and inconsistent. CONCLUSIONS: Problems with reporting quality impedes meaningful interpretation and cross-study comparisons. Inconsistent and misapplied terminology also create barriers to interprofessional communication and translation of findings to patient care. Improved reporting quality and creation of shared language will advance scientific rigor and clinical relevance of music intervention research

Community detection in network analysis: a survey

The existence of community structures in networks is not unusual, including in the domains of sociology, biology, and business, etc. The characteristic of the community structure is that nodes of the same community are highly similar while on the contrary, nodes across communities present low similarity. In academia, there is a surge in research efforts on community detection in network analysis, especially in developing statistically sound methodologies for exploring, modeling, and interpreting these kind of structures and relationships. This survey paper aims to provide a brief review of current applicable statistical methodologies and approaches in a comparative manner along with metrics for evaluating graph clustering results and application using R. At the end, we provide promising future research directions.Statistic

Ontology as the core discipline of biomedical informatics: Legacies of the past and recommendations for the future direction of research

The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the naming of genes, proteins, and other molecular structures, considerable efforts are under way to reduce the effects of the different naming conventions which have been spawned by different groups of researchers. Electronic patient records, too, increasingly involve the use of standardized terminologies, and tremendous efforts are currently being devoted to the creation of terminology resources that can meet the needs of a future era of personalized medicine, in which genomic and clinical data can be aligned in such a way that the corresponding information systems become interoperable