13,423 research outputs found

    How Can Learning & Development be Applied to Support Employees\u27 Changing Career Paths?

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    Employees change their career path for reasons such as passion, opportunities, and interests. Companies need to prepare to support this career transition in order to improve the efficiency of the organizations. One of the most effective ways to support this transition is through learning and development. This year\u27s Global Human Capital Trends survey shows that more than 85 percent of respondents cited learning as important or very important. Yet, more companies than ever report that they are unprepared to meet this challenge [1]. To close gaps between career transition needs and lack of preparation in organizations, HR professionals and learning specialists are being asked to offer better learning platforms and products that meet new expectations of employees for on-demand learning opportunities

    From Physical Motion to ‘Come and Go’: A Spoken Corpus Based Analysis of Kata ‘go’-specific Constructions in Korean

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    I analyze one of the motion verbs in Korean, kata ‘go,’ and its argument structure constructions. The verb shows an extremely high token frequency and its argument structure constructions have been subject to a great degree of variation in terms of its emergent semantics and syntax. However, there have been recurring issues across the previous studies. First, there is the problem of the so-called “written language bias in linguistics” (Linell, 1982), such that most studies on kata have drawn upon mostly invented sentences or written language data. Secondly, previous studies on kata have focused on the verb itself and have made few efforts on examining the construal of kata as it relates to the argument structure constructions in which the verb appears. Considering what has been pointed out so far, on the basis of contemporary Korean spoken data extracted from Sejong Corpus, the current study aims to establish argument structure constructions focusing on the specification of components, i.e. the subject, the oblique phrase containing the suffix, and kata. Argument structure constructions where kata appears and their components are fully specified are called kata-specific constructions. The objective of this study is to outline the alternations of the argument structure constructions in the physical motion domain, and how and to what extent they are inherited by other semantic domains in accordance with semantic extensions. All the semantic domains are argued to be metaphorically or via constructionalization extended from the physical domain. Further, I aim to examine whether the Principle of Maximized Motivation works or not by virtue of two types of cluster analysis. The first one based on binary coding showed that the metaphorical extension and constructionalization starting from the physical motion domain is not limited to the semantic side, but it also influences how and to what extent the allowed argument structure constructions in the physical motion domain are inherited by other semantic domains. This advocates the Principle of Maximized Motivation. However, the second cluster analysis based on relative frequency showed that abstract motion inherits frequency patterns concerning alternations of argument structure constructions from physical motion to the strongest degree, which weakens the principle

    Prevention Of Mother-To-Child Transmission Of Hiv(pmtct) Efforts In Kwazulu-Natal, South Africa: Lessons From Botswana

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    In sub-Saharan Africa (SSA) where mother-to-child transmission (MTCT) of the human immunodeficiency virus (HIV) continues to be an ongoing problem, scale up of prevention of mother-to-child transmission (PMTCT) services remains a priority. Between 2001 and 2012 globally, the 52% decline of new pediatric HIV infection was attributed to the expansion of PMTCT services. In December of 2021, the World Health Organization (WHO) announced that Botswana was certified as having attained the silver-tier status in the elimination of mother-to-child transmission of HIV, because it had successfully reduced the MTCT rate to less than 5%, had provided antenatal care (ANC) and antiretroviral therapy (ART) to over 90% of pregnant women, and met the threshold of \u3c 500 HIV cases per 1000,000 live births. This was a significant achievement as Botswana was the first high-burden country to be certified as having achieved this milestone. Hence, Botswana’s journey towards elimination of MTCT can help inform and guide decisions surrounding PMTCT program implementation for other SSA countries. The South African province of KwaZulu-Natal may particularly benefit from such knowledge transfer as it has one of the highest prevalence of HIV in the world at 20.6%. The overall objective of this paper is to conduct a case study on Botswana’s PMTCT implementation efforts to identify lessons learned from Botswana’s success with its PMTCT implementation to improve PMTCT services in KwaZulu-Natal. The two primary aims were to: (1) conduct a scoping review to understand Botswana’s journey towards elimination of mother to child transmission of HIV and (2) to identify lessons learned from Botswana to apply to KwaZulu-Natal. The majority of selected papers about Botswana’s PMTCT programs emphasized the integration of PMTCT into the broader healthcare system, ANC attendance, HIV testing coverage, infant feeding practices for breastfeeding among HIV-positive women, and targeted counseling and educational outreach efforts. These strategies can be adapted and applied to regions such as KwaZulu-Natal to reduce the performance gap for PMTCT for especially adolescent and young women. Future research exploring the specific structural and cultural barriers to antenatal attendance and health literacy will be important in maximizing program effectiveness to ensure adherence to the cascade of care. Accurate empirical evidence on the impact of PMTCT integration will guide future evidence-based interventions to eliminate MTCT in KwaZulu-Natal

    Identification of parameter matrices using estimated FRF variation

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    This study presents an analytical method to predict the dynamic parameters of actual structure from measured FRF (Frequency Response Function) data. The inconsistency due to modeling errors between the actual structure and the finite element model exists. The number of measured data is less than the one of a full set of dofs and should be expanded to estimate the parameters. Considering that the stiffness and mass matrices are related with the real part of the expanded FRF data and the damping matrix with the imaginary part, the variation in the parameter matrices is evaluated. A numerical example evaluates the appropriateness of the proposed method