Thematic Domain Research Articles

Analyzing Methods, Data Collection, and Trustworthiness in Self-Study Research: A Content Analysis of the First 19 Volumes of Studying Teacher Education

ABSTRACT Self-study researchers have periodically considered the essence of self-study, its objectives, its applications, and potential future trajectories. To address this imperative, our study undertakes a content analysis of the initial 19 volumes of Studying Teacher Education (STE), the flagship journal of self-study research. We focus specifically on the methodological dimensions of the scholarship featured in the journal, encompassing the spectrum of self-study methodologies employed, data collection techniques utilized, and measures of trustworthiness adopted. Through our analysis, we identify prevalent trends within each thematic domain, alongside an evolving consensus over time regarding the characteristics of high-quality self-study research. Nonetheless, we also discern persistent challenges concerning the lack of definitional precision and consistent implementation across diverse methodologies, data collection approaches, and trustworthiness measures. Echoing previous scholarship, we advocate for the establishment of a shared lexicon within the self-study community and the cultivation of explicit understandings regarding the diverse modalities of its application. Furthermore, drawing from our analysis, we introduce a typology delineating three distinct epochs of self-study research within the journal’s history while also envisioning the emergence of a fourth era poised to both reaffirm self-study’s foundational role as a form of counter-scholarship and chart innovative pathways forward.

A Sentence-Matching Model Based on Multi-Granularity Contextual Key Semantic Interaction

In the task of matching Chinese sentences, the key semantics within sentences and the deep interaction between them significantly affect the matching performance. However, previous studies mainly relied on shallow interactions based on a single semantic granularity, which left them vulnerable to interference from overlapping terms. It is particularly challenging to distinguish between positive and negative examples within datasets from the same thematic domain. This paper proposes a sentence-matching model that incorporates multi-granularity contextual key semantic interaction. The model combines multi-scale convolution and multi-level convolution to extract different levels of contextual semantic information at word, phrase, and sentence granularities. It employs multi-head self-attention and cross-attention mechanisms to align the key semantics between sentences. Furthermore, the model integrates the original, similarity, and dissimilarity information of sentences to establish deep semantic interaction. Experimental results on both open- and closed-domain datasets demonstrate that the proposed model outperforms existing baseline models in terms of matching performance. Additionally, the model achieves matching effectiveness comparable to large-scale pre-trained language models while utilizing a lightweight encoder.

Asymmetric and time-frequency co-movements among innovation-themed investments and carbon emission efficiency: Thematic investing and hedging opportunities.

This study is aimed at investigating the asymmetric and time-frequency co-movements and the hedge or safe-haven properties of carbon efficient indices, the MSCI ACWI Sustainable Impact, and MSCI World EGS indices, in relation to technology and innovation-themed investments. In doing so, the ADCC-GJR-GARCH and wavelet coherence techniques are applied to a daily return series ranging from January 2019 to January 2023. Findings of the ADCC-GJR-GARCH model show negative and insignificant asymmetric linkage among underlying indices during the sample period. The S&P 500 carbon efficient index (CEI) acts as a strong hedge or safe-haven for technology and innovation-themed indices during tranquil and tumultuous periods. The MSCI ACWI Sustainable Impact, MSCI World EGS, and carbon efficient indices except for S&P 500 CEI exhibit weak hedge or safe-haven attributes. Wavelet coherence reveals negative (positive) co-movements between the thematic and carbon efficient indices in short-term (medium-term and long-term) horizons with consistent leading behavior of thematic indices to carbon efficient indices outcomes. It justifies the presence of short-lived hedging or safe-haven characteristics in the thematic domain for investors. These strong and weak hedge or safe-haven characteristics of low carbon and sustainability indices reveal that adding low carbon efficient and sustainable investments to a portfolio result in considerable diversification benefits for investors who tend to take minimal risk in both tranquil and tumultuous periods. The current findings imply that financial institutions, thematic investing companies, and governments need to encourage carbon efficient technology transfer and innovation-themed investments by increasing the fund allocations in underlying asset classes. Policy-making and regulatory bodies can encourage investors to make carbon-efficient and thematic investments and companies to issue carbon-efficient stocks or investments to safeguard social and economic risks during fragile periods. These investments can offer greater opportunities to combat the intensity of economic shocks on portfolios for responsible or sustainable investors.

Transgenderism, Othering and Third Way Buddhist Monasticism in Chiang Mai, Thailand

Abstract Religion and trans studies are a relatively new domain of study, one which surrounds subjects gendered and sexed as (religiously) “Other,” and in the articulation of such voices in a public space. In this paper we employ a case study of a transgendered monastic teacher named Khun Mae Tritrinn in northern Thailand to highlight a case of gendered religious “Othering,” and the construction of the third-way religiosity in the context of traditional hetero-patriarchal Buddhist monasticism. We refer to this thematic domain in the context of an emergent third-way religiosity; theorising in an experiential knowing of transgender subjects, which emerges from their trans-other lives. In the case study we show by resisting the gender binary of Buddhist monasticism how a particular transgendered person seeks a third-way monastic alternative; how she established her own hermitage and religious community, and manages the relationship between discourse and institutions that act upon and through her. The ethnographic focus sheds light on historical moments and voices that have been referred to elsewhere as forms of “subjugated knowledge” (Foucault 1980; Hartman 2000). However, despite being subject to religious Othering, recent trans-other identities have gained an increasingly de-subjugated and respected third-space alternative; an intelligibility and opening beyond a heteronormative binarism. It is argued that religious “thirding” creates a turning point for those seeking alternative spiritual bases, and as a salvific epistemology in an engaged religiosity and praxis.

Exploring barriers and enablers to simulation-based training in emergency departments: an international qualitative study (BEST-ED Study)

IntroductionSimulation-based training (SBT) has gained significant traction within emergency medicine. The growing body of evidence describes the benefits that SBT can bring. However, identifying barriers and enablers when establishing successful...

Introducing arguments beyond the thematic domain

Extensive research has focused on how VoiceP (Kratzer 1996), ApplP (Pylkkänen 2008), and i* (Wood & Marantz 2017), an overarching term for Voice and Appl, establish argument structure inside the thematic domain (below TP). A question arises as to whether argument structure can be established outside the thematic domain (above TP). This work provides empirical evidence from Korean in suggesting that an argument can be introduced by Voice/Appl (i*) in the left periphery. Specifically, it lends support to the claim that the discourse participant ‘addressee’ is represented in syntax (Haegeman & Hill 2013; Miyagawa 2017; 2022; Portner et al. 2019 among others). In this regard, this work draws parallels between the thematic domain and the speech act domain, which have been considered to be two separate domains.

Analysis of action planning, achievement and life purpose statements in an intervention to support caregivers of persons with heart failure

BackgroundCaregivers of persons living with heart failure (HF) experience uncertainty related to heart failure trajectory and caregiving demands. Caregiver Support is a nurse-led intervention consisting of a well-being assessment, development of a life purpose statement, and action planning related to self-care and support for caregivers. ObjectivesThe goal of this study was to describe the caregivers’ action plans, action plan achievement and life purpose statements. MethodsWe used inductive content analysis to code life purpose statements and action plans by 2 coders. Descriptive statistics were used to describe the average number of action plans set per caregiver, the average number of themes coded per action plan and life purpose statement, and the status of goal achievement (i.e., by thematic domain, subdomains). Goal achievement was defined categorically: Achieved, not achieved, and not assessed. The achievement rate was calculated as the proportion of achieved action plans out of the total number of assessed action plans. ResultsThe sample (n = 22) was predominantly women, spousal caregivers, and an average age of 62±14.2 years. Thirty-six percent of caregivers were Black and 41% reported financial strain. Action plans comprised five categories: personal health and well-being, social support, home environment, instrumental support and other. The most common topics of life purpose statements were faith and self-care/actualization. Of 85 action plans, 69 were assessed and 66.7% were achieved. ConclusionsThese findings highlight the diversity of values and needs of caregivers and provides insights for additional person-centered support.

In the tension between large-scale analysis and accuracy - Identifying and analysing intra-urban (sub-)centre structures comparing official 3D-building models and TanDEM-X nDSMs

Intra-urban polycentricity has often been described by a balanced distribution of jobs/residences outside the traditional core cities in so-called (sub-)centres. Recently, this purely socioeconomic view has changed, so that centres are also increasingly understood as a physical manifestation of spatial development policies. Built-up volumes derived from 3D-building models are therefore frequently used instead of or as complement to employment/population figures when studying intra-urban polycentricity. However, such data are expensive and not available universally and permit only geographically limited investigations to date. To overcome this constraint, we investigate whether globally available and consistent TanDEM-X nDSMs (TDX) provide a valid data base for intra-urban polycentricity research based on built-up volumes. Our study focuses on four urban regions in Germany for which we have obtained official 3D-building models (LoD-1). For each study site, we derive aggregated built-up volumes from the TDX and the LoD-1 data and identify (sub-)centres. We use three centre identification algorithms to account for the diversity of methods and outcomes. We consider the LoD-1 (sub-)centres as reference and the TDX (sub-)centres as the entities to be reviewed. First, we quantify their spatial agreement and compare if polycentricity measures calculated based on both data sets lead to similar results. Second, we explore possible causes for discrepancies between the TDX/LoD-1 (sub-)centres. We find high spatial resemblances between TDX and LoD-1 (sub-)centres. Accordingly, we observe that polycentricity measures display similar trends among the two data sets. Nevertheless, we also show that the agreement between TDX and LoD-1 centres can be affected in uneven terrain, in sparsely built-up areas, and by the algorithms used to identify (sub-)centres. Overall, our results suggest that TDX nDSMs reflect the distribution of built-up structures in sufficient detail so that local-spatial densifications – here equated with (sub-)centres – can be appropriately studied. We therefore conclude that TDX data offer a great potential for the thematic domain of morphological urban analysis at large scale.

A Description of Theoretical Models for Health Service Utilization: A Scoping Review of the Literature.

Theoretical models to explain health service utilization are numerous and there is no known literature that has synthesized existing models for health service utilization. Systematic searches were conducted in PubMed, MEDLINE, PsychINFO, Scopus, and CINAHL databases from 1960 through May 2021. Literature theorizing models/frameworks for health service utilization were included. Multiple investigators screened citations and full texts. Data extracted included: (1) citation information, (2) purpose of models, and (3) major constructs of models. The search retrieved 6639 citations. A total of 34 articles were eligible for this review. Theoretical models were categorized into 4 thematic domains based on the purpose of the model: (1) generalized health service utilization, (2) health service utilization with respect to specific sociodemographic determinants of health, (3) health service utilization specific to illness or health disciplines, and (4) preventive health services/screenings. There was an increase in models developed over time with a trend toward model development specific to sociodemographic determinants of health, illness, and/or health disciplines. This review cataloged theoretical models for health service utilization by thematic domain to enhance the identification and critical review of existing models. Findings support the notion that theoretical pluralism has been adopted in the field of health service utilization.

EFFECTIVENESS OF THE LANGUAGE OF FAST FOOD ADVERTISEMENTS THROUGH J. BAUDRILLARD'S POSTMODERNISM

One of the dominant fields in the scope of advertising is Fast Food promotion. Junk food advertisements are viral on the Internet, television, billboards and among other types of advertisements. This has led to many people preferring it to other types of food. Several studies have also investigated the effects of junk food advertisements on people’s attitudes and preferences. Firstly, it creates some expectations which raise the desire to buy. Secondly, it associates purchase of these foods with some positive feelings such as satisfaction and happiness. Thirdly, it uses a certain entertaining dimension, thus, implying that purchase will boost a pleasant mood. Finally, people are not always conscious about the persuasive nature of advertising. In this connection, the present article aims to study how some linguistic techniques and devices in Fast Food advertisements call people for certain actions (purchase) and make these advertisements effective. The linguistic analysis of all advertisements carried out in the research mainly focused on defining and characterizing the linguostylistic devices used in fast food advertising, taking into consideration specific language levels such as lexicon, phonology, stylistics and grammar. The analysis demonstrates that nearly every advertisement uses rhetorical figures not depending on the thematic domain they come from.

Les relations sémantiques au carrefour des champs conceptuels du droit

The present study concerns the analysis of semantic relationships that exist between legal concepts in Czech and French law. The study combines textual approach, which is necessary for identification of relationships, and the approach of constructing conceptual fields by applying the theory of semic analysis, which help to distinguish terminological and conceptual units from other linguistic units in the texts. Two corpora of legal texts serve as source of legal concepts. These corpora concern the same thematic domain and were established for the purpose of this study. After the theorical and methodological delimitations of the key notions (the definition of concept and term, conceptual field, semic analysis, content of corpora), the study proceeds to a detailed description of linguistic relations within the corpora. This paper focuse on semantic relationships and analyses the following ones: synonymy, opposition (antonymy and contrastivity) and hierarchical relationships (hyperonymy, meronymy and hierarchy of conceptual fields). The analysis concerning two languages and two legal systems enables to compare the data related to the given corpora. For each relationship this study offers a short explanation of the nature of the relationship, its frequency in the two corpora, examples borrowed from the corpora and, if present, the description of other phenomena encountered during the research. These phenomena include, among other things, different types of synonymy, the absence of hyperonyme or holonyme in some hierarchical structures or different types of meronymy.

Thematic domain analysis for ocean modeling

Ocean science is a discipline that employs ocean models as an essential research asset. Such scientific modeling provides mathematical abstractions of real-world systems, e.g., the oceans. These models are then coded as implementations of the mathematical abstractions. The developed software systems are called models of the real-world system.To advance the state in engineering such ocean models, we intend to better understand how ocean models are developed and maintained in ocean science. In this paper, we present the results of semi-structured interviews and the Thematic Analysis (TA) of the interview results to analyze the domain of ocean modeling. Thereby, we identified developer requirements and impediments to model development and evolution, and related themes. This analysis can help to understand where methods from software engineering should be introduced and which challenges need to be addressed.We suggest that other researchers extend and repeat our TA with model developers and research software engineers working in related domains to further advance our knowledge and skills in scientific modeling.

Youths' Perceptions Of The Relation Between Alcohol Consumption And Risky Sexual Behaviour in the Western Cape, South Africa: A Qualitative Study.

The purpose of this study is to explore the factors that youth identify as contributing to alcohol consumption, and more specifically its relation to risky sexual behaviour among youth. We employed an exploratory qualitative method using focus group discussions with 34 young people between the ages of 18-25-years-old in low socio-economic status communities in the Western Cape province of South Africa. Data were analyzed thematically utilizing Braun and Clarke’s (2006) six-step thematic analysis process. We identified two thematic domains pertaining to alcohol consumption and risky sexual behaviour, namely individual and social factors, each comprising three themes. The individual factors thematic domain comprises intrapersonal influences, employment and educational attainment; while the social factors thematic domain includes interpersonal influences, social influences, and hope for the future. Youth living in low socio-economic status communities were thought to be at greater risk of alcohol misuse and subsequent risky behaviour, given the political and social history of marginalisation, systematic oppression, and social inequality. To address alcohol use and risky sexual behavior among youth, we recommend interventions with adolescents, parents or guardians, and the community. More specifically, interventions aimed at adolescents should focus on the transition to young adulthood. Interventions with parents should focus on their role in modelling and potentially regulating alcohol consumption. Finally, community interventions should centre on drinking behaviors, levels of drinking, what constitutes harmful drinking, and how to identify when treatment and recovery support is likely to be required.

State and Evolution of the Investigación y Educación en Enfermería Journal from a Metric Analysis

Objective:To analyze levels of production, reach, and thematic development of the Investigación y Educación en Enfermería journal from a scientometric analysis.Methods:The study collected 1,066 articles corresponding to the period between 1983 and 2020. The scientometric analysis was carried out from three components of descriptive analysis: performance of the publication, geographic reach, and thematic development. The first two used data consolidated from articles published in the Open JournalSystemat Universidad de Antioquia. The third component captured the bibliographic references from the Web of Science and Scopus databases and from the Google Scholar and Lens academic search engines.Results:In terms of the production analysis, the Journal shows stable behavior sustained over time with international reach regarding authorship. In the thematic setting, the Journal concentrates on two large clusters: 1) research on human factors from different perspectives and 2) cross-sectional studies differentiated mainly by sex. With respect to emerging clusters, on one side, a thematic pillar is seen with studies in young adult population and another in matters related to the educational process and nursing students.Conclusion:The Journal has maintained outstanding behavior in terms of production over time, aligned with very good visibility for potential authors internationally; something not easily accomplished for most journals in Colombia. Likewise, its production has had a thematic domain to a greater extent related to human factors associated with the nursing practice.

State and Evolution of the Investigación y Educación en Enfermería Journal from a Metric Analysis.

To analyze levels of production, reach, and thematic development of the Investigación y Educación en Enfermería journal from a scientometric analysis. The study collected 1,066 articles corresponding to the period between 1983 and 2020. The scientometric analysis was carried out from three components of descriptive analysis: performance of the publication, geographic reach, and thematic development. The first two used data consolidated from articles published in the Open Journal System at Universidad de Antioquia. The third component captured the bibliographic references from the Web of Science and Scopus databases and from the Google Scholar and Lens academic search engines. In terms of the production analysis, the Journal shows stable behavior sustained over time with international reach regarding authorship. In the thematic setting, the Journal concentrates on two large clusters: 1) research on human factors from different perspectives and 2) cross-sectional studies differentiated mainly by sex. With respect to emerging clusters, on one side, a thematic pillar is seen with studies in young adult population and another in matters related to the educational process and nursing students. The Journal has maintained outstanding behavior in terms of production over time, aligned with very good visibility for potential authors internationally; something not easily accomplished for most journals in Colombia. Likewise, its production has had a thematic domain to a greater extent related to human factors associated with the nursing practice.

Activity types, thematic domains, and stakeholder constellations: explaining civil society involvement in Amsterdam’s smart city

ABSTRACT Smart city development increasingly involves civil society stakeholders (CSS) because they constitute legitimate stakeholders concerning digitalized urban public goods. As users, however, CSS are involved because they improve smart city activities by providing tacit day-to-day knowledge. Distinguishing between socially and economically orientated CSS allows us to compare the involvement of legitimate stakeholders to user involvement and to unravel the factors influencing the involvement of CSS in smart city activities. For this, we build a framework that not only discerns between socially- and economically-orientated CSS but also distinguishes between three types of socio-technical factors that either limit or increase civil society involvement in smart city activities: (1) the activity’s type (2) the activity’s thematic domain, and (3) stakeholder constellations linked to the activity. Using chi-square-tests and logistic regressions we inquire into how the socio-technical factors defined in our framework influence the involvement of social and economic CSS in Amsterdam’s smart city activities. Our results show that the dominant thematic domains and the most common stakeholder constellations that characterize in Amsterdam’s smart city activities limit the involvement of social CSS. CSS involvement in smart city activities thus mainly entails the involvement of economically-orientated CSS.

Evaluating and Predicting the Quality of Answers Factors in the Research Gate’s Question and Answer System: a Case Study of the Thematic Domain of Knowledge Management

Evaluating and Predicting the Quality of Answers Factors in the Research Gate’s Question and Answer System: a Case Study of the Thematic Domain of Knowledge Management

A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

Supervised classification algorithms require a sufficiently large set of representative training samples to generate accurate land-cover maps. Collecting reference data is difficult, expensive, and unfeasible at the large scale. To solve this problem, this article introduces a novel approach that aims to extract reliable labeled data from existing thematic products. Although these products represent a potentially useful information source, their use is not straightforward. They are not completely reliable since they may present classification errors. They are typically aggregated at polygon level, where polygons do not necessarily correspond to homogeneous areas. Finally, usually, there is a semantic gap between map legends and remote sensing (RS) data. In this context, we propose an approach that aims to: 1) perform a domain understanding to detect the discrepancies between the thematic map domain and the RS data domain; 2) use RS data contemporary to the map to decompose the thematic product from the semantic and spatial viewpoints; and 3) extract a database of informative and reliable training samples. The database of weak labeled units is used for training an ensemble of classifiers on recent data whose results are then combined in a majority voting rule. Two sets of experimental results obtained on MS images by extracting training samples from a crop type map and the 2018 Corine Land Cover (CLC) map, respectively, confirm the effectiveness of the proposed approach.

Acceptability of electronic healthcare predictive analytics for HIV prevention: a qualitative study with men who have sex with men in New York City.

Large data sets, also known as "big data", shared in health information exchanges (HIEs), can be used in novel ways to advance health, including among communities at risk for HIV infection. We examined values and opinions about the acceptability of using electronic healthcare predictive analytics (eHPA) to promote HIV prevention in men who have sex with men (MSM). Our aims were twofold: (I) to evaluate the perspectives of MSM with diverse race/ethnicity and age on the acceptability of predictive analytics to determine individual HIV risk and (II) to determine acceptability of having targeted prevention messaging based upon those risk estimates sent directly to the consumer.Method: Two of the authors facilitated 12 focus groups (n=57) with adult MSM without HIV, living in NYC. Groups were divided by ethnicity (Black, Latino, and White) and age (under 35 and 35 and over). Participants were recruited through HIV prevention sites, community-based organizations, social media, and Internet sites that serve these communities. Grounded theory methods were used to analyze the data with Dedoose. We identified six main themes related to acceptability: (I) reach, relevance, and potential uptake of using predictive analytics to establish HIV risk and deliver targeted prevention messaging; (II) patient-provider communication; (III) public health and individual rights; (IV) perceptions of intervention effectiveness; (V) electronic health data security; and (VI) stigma. Within each thematic domain, MSM discussed concerns, benefits, and provided recommendations for implementation. MSM in this study were supportive of the use of "big data" and technology to reach marginalized populations and improve public health, yet expressed concerns about the relevance, effectiveness, and security eHPA. Efforts to advance eHPA for HIV prevention should address these concerns, especially among the most-at-risk communities of color. Development of eHPA for HIV prevention should involve targeted messaging that addresses specific concerns regarding eHPA security, accuracy, and relevance.

Towards Semantic Brain Mapping Methodology Based on a Multidimensional Markup of Continuous Russian-Language Texts: an Attempt at Validation and Development.

In the present study, we combine linguistic annotation of oral texts in Russian with the registration of BOLD signal in functional MRI experiments to determine how and where semantic categories are represented in the human brain. Using the same stimuli material, we also analyze the differences in cortical activation in three thematic domains: description of nature, description of working principles of technical devices and more self-referential texts, addressing the question of human identity in conflict situations. We discuss methodological problems within the two approaches (microanalysis and macroanalysis) to study brain activation in natural conditions, i.e. under a continuous speech flow. Within the thematic domain studies, only minimally significant differences in brain activation were registered during the listening to texts from the three thematic groups. This outcome leads to the conclusion that the approach of thematic group contrasts (cognitive subtraction methodology) is not sufficient to study the mechanisms of text comprehension, and should be replaced by the modeling of multidimensional representations of semantic categories in time. Within the semantic category approach, we describe the neurolinguistic process of text understanding as the activation of 15 clusters responsible for semantic categories (e.g. “Conflict”, “Mental”, “Social”). Our data demonstrate that the clusters are widely distributed across the human brain. In contrast to the previous studies, we suggest that deep subcortical structures are involved in the processing of certain categories as well. The observed lateralization of category processing underlines the involvement of the right hemisphere in the processing of meaning.