A proposal of ethical competence model for cyber security organization

A proactive cyber security plan to safeguard confidential information and privacy still lacks initiatives to avoid frequent harmful attacks. Cybersecurity professionals must possess ethical competence and prove worthy of overseeing valuable information for efficient decision‐making since ethical competence is fundamental for daily practice. There is a need to define what it means to be ethically competent in the era of IR4.0. The previous competence models still lack consideration of both artificial intelligence (AI) and emotional intelligence (EI) skills. AI brings new opportunities to cyber security organizations that focus on AI skills related to cognitive Intelligence or intelligent quotient (IQ). EI, which refers to emotional quotient (EQ), is a good predictor of ethical competence as it can perceive and express emotions precisely to facilitate thought to understand and manage emotions. However, practically, most cyber security organizations focused on AI skills and disregarded EI skills' roles. This research proposes a cyber artemotional model that blends AI skills and EI skills for cyber security employees. This research would benefit cyber security organizations with cyber artemotional model as employees ethical competence assessment, and it is in line with the demand of IR4.0.

Early childhood teachers' mathematics-specific professional competence and its relation to the quality of learning support

Teacher expertise research uses different approaches, among them competence models. The model of mathematics-specific professional competence in this study differentiates action-related and reflective competence, which pertain to different types of professional demands according to dual processing theories and should positively impact teaching quality. The cross-sectional study with early childhood teachers investigates the structure of teacher competence and its relations to the quality of learning support in line with the notion of adaptive teaching when playing board games. The findings support a differentiation of competences according to the model (structural validity evidence). Expected relations between competences and the quality of the learning support are partially supported (predictive validity evidence). The study hence adds to research on teacher expertise by developing a specific understanding of competence in line with existing theories. Affordances of using competence models, as well as difficulties and open questions with relation to the emerging approach are discussed.

ALGORITHMS AND TOOLS FOR CREATING A COMPETENCE MODELS OF TECHNICAL SPECIALIST

The article presents the concepts of creating models of competence of a technical specialist and means of identifying structural units for which it is necessary to make changes to modify the functionality of officials.

Translation Competence and Translator Training: A Review

Translator training is an area that has received much interest among the research community of Translation Studies’ scholars. This is driven by the need for highly qualified and skilled professional translators around the world. This need has motivated research into the skills and competences professional translators need to perform their tasks effectively. This review addresses translator training and translation competence, underscoring the need for further research in this area in the Saudi context. It also presents some translation competence models that have been proposed. The review indicated that translation competence is an under-researched area in the Saudi context. Further research is needed in this area to contribute to improving the quality of translator training, which will enhance the quality of translation services by improving the outcomes of these programs.

Viral competence data improves rodent reservoir predictions for American orthohantaviruses

Identifying reservoir host species is crucial for understanding the risk of pathogen spillover from wildlife to people. Orthohantaviruses are zoonotic pathogens primarily carried by rodents that cause the diseases hemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS) in humans. Given their diversity and abundance, many orthohantaviruses are expected to be undiscovered, and several host relationships remain unclear, particularly in the Americas. Despite the increasing use of predictive models for understanding zoonotic reservoirs, explicit comparisons between different evidence types for demonstrating host associations, and relevance to model performance in applied settings, have not been previously made. Using multiple machine learning methods, we identified phylogenetic patterns in and predicted unidentified reservoir hosts of New World orthohantaviruses based on evidence of infection (RT-PCR data) and competence (live virus isolation data). Infection data were driven by phylogeny, unlike competence data, and boosted regression tree (BRT) models using competence data displayed higher accuracy and a narrower list of predicted reservoirs than those using infection data. Eight species were identified by both BRT models as likely orthohantavirus hosts, with a total of 98 species identified by our infection models and 14 species identified by our competence models. Hosts predicted by competence models are concentrated in the northeastern United States (particularly Myodes gapperi and Reithrodontomys megalotis) and northern South America (several members of tribe Oryzomyini) and should be key targets for empirical monitoring. More broadly, these results demonstrate the value of infection competence data for predictive models of zoonotic pathogen hosts, which can be applied across a range of settings and host-pathogen systems.Author SummaryHuman diseases with wildlife origins constitute a significant risk for human health. Orthohantaviruses are viruses found primarily in rodents that cause disease with high rates of mortality and other complications in humans. An important step in disease prevention is to identify which rodent species carry and transmit orthohantaviruses. By incorporating species relatedness and evidence of different levels of host capacity to be infected and transmit virus, we used predictive modeling to determine unidentified rodent hosts of orthohantaviruses. Models using host competence data outperformed models using host infection data, highlighting the importance of stronger data in model optimization. Our results highlighted roughly a dozen key target species to be monitored that are concentrated in two geographic regions—northeastern United States and northern South America. More broadly, the approaches used in this study can be applied to a variety of other host-pathogen systems that threaten public health.

WEB-BASED RESOURCES AND WEB SEARCHING SKILLS FOR TRANSLATORS WITH A SPECIFIC FOCUS ON THE POLISH-ENGLISH LANGUAGE PAIR

In the modern technology-driven translation market, using the available tools and resources seems to be more of a requirement than an option. This view is shared by translation scholars, who incorporate information competence in their translation competence models, translation educators and students, and professional translators. The theoretical background of the paper is based on the conceptual framework used by the author is her longitudinal study into the development of information competence in undergraduate translation students. The paper contains a collection of web-based resources for translators and shows the ways in which they can develop their web searching skills. Keywords: information competence, translator training, web-based resources, web searching.

Human factor in business process management: modeling competencies of BPM roles

PurposeThe study proposes competence models for the roles of process owners, process analysts and industrial engineers based on qualitative research.Design/methodology/approachThe research methodology is a combination of a questionnaire survey and interviewing in Czech companies, which develop the process approach. The proposed competence models can be utilized during business process management (BPM) implementation while appointing process owners, analysts and industrial engineers and their further development.FindingsThis paper emphasizes the role of human factor and presents research results concerning most important BPM roles and their competencies.Research limitations/implicationsThere is lack of research (a research gap) in the field of BPM roles, what they do and what they should do.Practical implicationsA system of competence models is thus a tool for human resource management and should increase the success rate of BPM projects. Another possible utilization is in higher education in business administration.Social implicationsAnother possible utilization is in higher education in business administration.Originality/valueIt proposes competence models for the roles of process owners, process analysts and industrial engineers based on qualitative research.

COMPETENCE MODEL OF AN INFORMATION SECURITY SPECIALIST IN MODERN CONDITIONS

The field of information security is experiencing a shortage of specialists to meet the growing demand for qualified and ready-to-work personnel. The use of competency models as tools for determining and evaluating employee qualifications, and skills needs to be reconsidered. The purpose of the research is to formulate competence a model of a specialist in the field of information security. The article examines the structure of the competence model of a specialist in the field of information security, and the model of competence of a specialist in the field of information security, as well as defines the main competencies that are necessary for an information security specialist. Industry standard competence models can help employers, teachers, and human resources professionals prepare, develop, and advance the workforce for enterprise security and information security in the future.