Semantic-based technologies have been steadily increasing their relevance in recent years in both the research world and business world. Considering this, the present article discusses the process of design and implementation of a competency management system in information and communication technologies domain utilizing the latest Semantic Web tools and technologies including D2RQ server, TopBraid Composer, OWL 2, SPARQL, SPARQL Rules and common human resources related public vocabularies. In particular, the paper discusses the process of building individual and enterprise competence models in a form of ontology database, as well as different ways of meaningful search and retrieval of expertise data on the Semantic Web. The ontological knowledge base aims at storing the extracted and integrated competences from structured, as well as unstructured sources. By using the illustrative case study of deployment of such a system in the Human Resources sector at the Mihajlo Pupin Institute, this paper shows an example of new approaches to data integration and information management. The proposed approach extends the functionalities of existing enterprise information systems and offers possibilities for development of future Internet services. This allows organizations to express their core competences and talents in a standardized, machine processable and understandable format, and hence, facilitates their integration in the European Research Area and beyond.

There is a growing interest in the assessment of tangible skills and competence. Specifically, there is an increase in the offerings of competency-based assessments, and some academic institutions are offering college credits for individuals who can demonstrate adequate level of competency on such assessments. An increased interest has been placed on competency-based computer simulations that can assist learners to gain tangible skills. While computer simulations and competency-based projects, in general and particularly in management, have demonstrated great value, there are still limited empirical results on their benefits to e-learners. Thus, we have developed a quasi-experimental research, using a survey instrument on pre- and post-tests, to collect the set of 12 management skills from e-learners attending courses that included both competency-based computer simulations and those that didn’t. Our data included a total of 253 participants. Results show that all 12 management skills measures demonstrated very high reliability. Our results also indicate that all 12 skills of the competency-based computer simulations had higher increase than those that didn’t. Analyses on the mean increases indicated an overall statistically significant difference for six of the 12 management skills enhancements between the experimental and control groups. Our findings demonstrate that overall computer simulations and competency-based projects do provide added value in the context of e-learning when it comes to management skills.

Children's Geographies; 02/01/2023
(AN 163249014); ISSN: 14733285
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Children’s mastery of fundamental movement skills is correlated with a number of health benefits, including higher levels of physical activity, cardiorespiratory fitness, perceived scholastic and athletic competence, and lower levels of overweight.

This is the first study to examine the associations between low skill competence (a new and novel way to report motor skills) and a range of health-related and sociodemographic factors in a large representative sample of children and youth. (Read the full article)

Pediatric residents may not be achieving competency in neonatal intubation. Opportunities for intubation during residency are decreasing. A precise definition of competency during training is lacking.

Bayesian statistics may be used to describe neonatal intubation competency in residents. At least 4 successful intubations are needed to achieve competency. The first 2 intubation opportunities appear to predict how many intubation opportunities are ultimately needed to achieve competency. (Read the full article)

The identification of biomarkers for patient stratification is fundamental to precision medicine efforts in oncology. Here, we identified two baseline, circulating immune cell subsets associated with overall survival in patients with metastatic pancreatic cancer who were enrolled in two phase II randomized studies of GVAX pancreas and CRS-207 immunotherapy. Single-cell mass cytometry was used to simultaneously measure 38 cell surface or intracellular markers in peripheral blood mononuclear cells obtained from a phase IIa patient subcohort (N = 38). CITRUS, an algorithm for identification of stratifying subpopulations in multidimensional cytometry datasets, was used to identify single-cell signatures associated with clinical outcome. Patients with a higher abundance of CD8⁺CD45RO^–CCR7^–CD57⁺ cells and a lower abundance of CD14⁺CD33⁺CD85j⁺ cells had improved overall survival [median overall survival, range (days) 271, 43–1,247] compared with patients with a lower abundance of CD8⁺CD45RO^–CCR7^–CD57⁺ cells and higher abundance of CD14⁺CD33⁺CD85j⁺ cells (77, 24–1,247 days; P = 0.0442). The results from this prospective–retrospective biomarker analysis were validated by flow cytometry in 200 patients with pancreatic cancer enrolled in a phase IIb study (P = 0.0047). The identified immune correlates provide potential prognostic or predictive signatures that could be employed for patient stratification.

"This training could not be more timely. The tragic events in Oak Creek, Wisconsin just last month are a chilling reminder of the need to do all we can to foster tolerance, understanding, and respect among the diverse faiths, communities and peoples that make up America," said Deputy Attorney General Cole.

"We hope the training will inspire even broader collaborations in communities across the nation and forge lasting partnerships among law enforcement, elected officials, non-Sikh communities, and their Sikh neighbors," said Acting Associate Attorney General West.

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The O*NET Content Model includes worker- and job-oriented hierarchical taxonomies that can effectively serve as frameworks for organizing workforce competencies, credentials, and other work-relevant information. Visit the new Competency Frameworks section to discover a variety of easy-to-use competency frameworks, including Technology Skills, Abilities, Cross-Functional Skills, Basic Skills, and Knowledge.

The frameworks are available in Excel format and also as JSON-LD: machine-readable Linked Data  described using the CTDL-ASN  schema (Credential Transparency Description Language Profile of Achievement Standards Network Description Language) developed by the Credential Engine  project.

For a summary of O*NET machine-discoverable information see: Link to Us--Machine-Readable Data.

Synonym content is added to the Abilities, Cross-Functional Skills, Basic Skills, and Knowledge competency frameworks. The simplified language is drawn from easy-to-read content included within My Next Move and My Next Move for Veterans. The frameworks, built from worker- and job-oriented hierarchical taxonomies, can help in organizing workforce competencies, credentials, and other work-relevant information, and also serve as a starting point for creating skills thesauruses. Visit the Competency Frameworks section to discover these easy-to-use tools.

The frameworks are available in Excel format and also as JSON-LD: machine-readable Linked Data described using the CTDL-ASN schema (Credential Transparency Description Language Profile of Achievement Standards Network Description Language) developed by the Credential Engine project.

For a summary of O*NET machine-discoverable information see: Link to Us--Machine-Readable Data.

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