Jargon Research Articles

Enhancing Yoga Awareness Among Future Healthcare Practitioners: A Study on MBBS Students' Knowledge and Perceptions

Background: Yoga, and art and science rooted in ancient Indian culture, is increasingly recognized for its holistic benefits, contributing to physical, mental, and spiritual well-being. Despite its global popularity, knowledge and awareness of yoga amongst medical students, particularly within Health Professions Education, remain underexplored. This study aimed to assess the understanding of yoga and yoga therapy among MBBS students to help integrate these concepts into future medical practice. Aim and Objective: The study sought to evaluate the general awareness of yoga among medical students, particularly focusing on misconceptions, technical terminology, and therapeutic applications, aiming to enhance their ability to utilize yoga in a healthcare context. Materials and Methods: Conducted at the School of Yoga Therapy, Sri Balaji Vidyapeeth, this study involved 221 MBBS students participating in a yoga orientation program. The Yoga Awareness Questionnaire (YAQ), a 10-item pre-validated tool, was administered both before and after a single 60-minute yoga session. Paired t-tests were used to analyze changes in awareness with statistical significance set at p<0.05. Results: The average YAQ score increased significantly from 5 to 7 post-intervention, indicating improved awareness. Increases were noted across understanding holistic yoga, Ashtanga Yoga concepts, and dispelling misconceptions. However, some variability persisted in technical terminology understanding. Conclusion: A single yoga awareness session effectively enhanced medical students' understanding of yoga, promoting a more uniform baseline knowledge. These findings suggest that integrating yoga education in healthcare curricula could prepare future practitioners to incorporate holistic practices into patient care. As the Government of India and the National Medical Commission are advocating integration of Ayush systems within modern medicine, the results of this study have several important implications.

ʿAbd Al-Jabbār and Bāqillānī on the Meaning of Miracles (Muʿjizāt): a Study of Convergences and Divergences

Abstract This article presents the technical terminology, concepts, and theological principles developed by Bāqillānī and ʿAbd al-Jabbār in Kitāb al-Bayān and the Mughnī (respectively). It traces the convergences and divergences in their approaches to the word muʿjiz and describes the parallel methodological processes through which they critique postulates established by the “language users or experts” (ahl al-lugha). I argue that we can better understand how the meaning of the word muʿjiz was contested in medieval Islam and how its semantic range was established by reading Muʿtazilī (ʿAbd al-Jabbār) and Ashʿarī-Sunnī (Bāqillānī) texts alongside one another. An examination of how claims to the authority over the meaning of the word muʿjiz are made and the social significance of such claims are also central themes of this study.

Should I Be Worried? Worry in Dunhuang Divination

Abstract The emotional aspect of divination has rarely been systematically addressed in the history of Chinese divination. Focusing on divination manuals from Dunhuang 敦煌, this article examines the interaction between emotions, especially worry, and divination in medieval China. It explores, on the one hand, how worry in the medieval context drove individuals to seek divinatory practices. On the other hand, it examines how the divination manuals used worry and other emotive words as part of their technical language to measure uncertainty. Surveying different usages of the terms for worry in these manuals, the article argues that the language of worry was part of the terminology of Dunhuang divination, serving as a heuristic to help the inquirers sense the level of auspiciousness and uncertainty of future scenarios. The article will also show that emotional words form a unique layer of terminology that conveys to inquirers a specific sense of auspiciousness.

Alt = 1. vechi; 2. bătrân – Übersetzung deutscher fachsprachlicher Komposita mit dem Adjektiv alt als Determinativ ins Rumänische

While compounding is not a preferred method of word formation in Romanian, it is highly productive in German. Composites are used in German to replace complex structures, such as relative clauses and extended attributes, for the sake of language economy. The Romanian compounds found in technical language are mainly loan words or formed using a foreign language model. The translation of compound words from German to Romanian typically necessitates a structural reorganization, resulting in lengthy and intricate phrases. The principal challenge in this type of translation is the identification of semantic connections, as a literal translation is insufficient. This study aims to examine the translation of technical language compounds containing the determiner "alt" into Romanian.

Limitations of Feature Attribution in Long Text Classification of Standards

Managing complex AI systems requires insight into a model's decision-making processes. Understanding how these systems arrive at their conclusions is essential for ensuring reliability. In the field of explainable natural language processing, many approaches have been developed and evaluated. However, experimental analysis of explainability for text classification has been largely constrained to short text and binary classification. In this applied work, we study explainability for a real-world task where the goal is to assess the technological suitability of standards. This prototypical use case is characterized by large documents, technical language, and a multi-label setting, making it a complex modeling challenge. We provide an analysis of approx. 1000 documents with human-annotated evidence. We then present experimental results with two explanation methods evaluating plausibility and runtime of explanations. We find that the average runtime for explanation generation is at least 5 minutes and that the model explanations do not overlap with the ground truth. These findings reveal limitations of current explanation methods. In a detailed discussion, we identify possible reasons and how to address them on three different dimensions: task, model and explanation method. We conclude with risks and recommendations for the use of feature attribution methods in similar settings.

Biomedical Engineering Literature: Advanced Reading Skills for Research and Practice

Medical engineering is a field of study that combines biological and medical sciences with engineering to develop improved healthcare technologies. It is imperative that you possess a deep understanding of both the material and the technical language used in this rapidly advancing field in order to effectively grasp key topics and navigate the rapidly expanding literature. This paper examines the future of the biomedical engineering profession through the lens of advanced reading strategies. It starts with the assertion that biomedical engineering literature presents three challenges: the level of density is technical, the area is interdisciplinary, and the growth of knowledge is exponential. In the view of the above challenges, the paper discusses various advanced reading skills in relation to biomedical engineers. These skills include the ability to critically read scientific texts, both at a fast pace for an overview and in detail for deeper understanding, to identify key ideas and methodologies relevant to the field, and to assess the validity of scientific claims and data representations. The paper also aims at pointing out how separate elements like the use of systematic reviews, of meta-analysis, of data visualization tools that complement reading, help the researcher in the process of managing gathered information from various sources. This paper describes teaching these skills for both academic and professional practice, with examples of how improved reading competencies can enhance research quality and contribute to innovations in medical technologies, tissue engineering, and clinical trials. Furthermore, the paper aims to discuss the future trends due to the increasing incorporation of continuous learning for addressing the challenges posed by novel technologies including artificial intelligence and nanotechnology that define the future of biomedical engineering. biomedical engineering students require the acquisition of higher order reading skills in preparation for information reading: national and international publications in the engineering profession, policy and technology in support of health care delivery systems, product development, and other purposes. The ideas stated and demonstrated in this paper should be practical to both beginning scholars and veteran professionals in the biomedical engineering field as well as useful for seminar and workshop participants in seminars and workshops on biomedical engineering literature.

O PAPEL DA LEITURA NO DESEMPENHO ACADÊMICO: DESAFIOS E IMPACTOS NO CONTEXTO UNIVERSITÁRIO

This article aims to analyze the impacts of reading on academic performance, highlighting how this skill influences academic performance and the integral formation of students. The bibliographic research carried out based on repositories such as SciELO.org investigates how critical reading contributes to the development of essential skills, including analysis, argumentation and communication necessary, both in the academic environment and in the future professional career. The results showed that, although academic reading is important, many students face difficulties due to technical terminology and the lack of previously developed reading skills. To address these challenges, the study suggests the implementation of supportive pedagogical policies and practices, such as reading workshops, peer tutoring, and support for textual production, as well as an inclusive approach that values the diversity of student profiles. The promotion of reading from basic education is recommended as a means of better preparing students for higher education and the job market.

Vocabulary Notebooks as a Noteworthy Powerful Instrument in Technical Vocabulary Learning

This research paper attempts to investigate the organization and effectiveness of vocabulary notebooks by distinguishing several benefits the implementation of this technique brings in the acquisition of technical terminology through an “English for Specific Purposes course”. When tackling with language learning, it is needless to emphasize the noteworthiness and the importance of vocabulary in this process. Appertaining to technical terminology, this plays entirely pertinent. Various studies have concluded that vocabulary notebooks (henceforth VN) efficiently expose different learners’ strategies within this single strategy, which led us to research VN. These research data were obtained mainly by applying the observational research technique, a vocabulary oral and written exam, and a comprehensive questionnaire on the effectiveness of the Vocabulary Notebook. Mechanical Engineering, Textile Engineering, and Hydrotechnical Engineering students at the Polytechnic University of Tirana were selected to obtain the data. The observation is partly overt and partly covert. Students of Mechanical Engineering and Textile Engineering (75 students) are the treatment group wherein the Mechanical Engineering students are an overt group and the Textile Engineering students serve as the covert observational group while on the other hand, the Hydrotechnical Engineering (45 students) students are the control group. The data were obtained during and at the end of the semester. Throughout the observation all along the 1st semester, it was perceived that most of the students organized their VN by utilizing mainly Microsoft Word downloaded on their Smart Phones, while the rest used the traditional paper notebook to organize their technical VN. The organization of the VN reflected the strategies each of the students implemented to learn technical terminology. At the end, students were tested on their acquired terminology through an oral and a short-written exam and then a questionnaire was handed to them. The students of the overt group making use of a digitalized form of a Notebook resulted to have acquired most of the technical vocabulary. In the main, the overt group outperformed the covert group on the acquisition of technical vocabulary, while the control group’s score on the oral exam was significantly below, compared to the all-inclusive treatment group. Students’ questionnaire revealed that overall students had a positive approach to this strategy and they embraced the autonomy acquired throughout the semester by implementing this strategy. With the exception of the effectiveness on vocabulary acquisition, which was on higher levels, this strategy proved itself once again to be an enhancer and promoter of learner autonomy. Keywords: vocabulary notebooks, autonomous learning, technical terminology List of Abbreviations: VN – Vocabulary Notebook, ME – Mechanical Engineering, TE – Textile Engineering

The Role of Sentiment Analysis in Machine Translation- A Review on the Example of ChatGPT

In today’s globalization, machine translation technology has become an indispensable bridge for cross-lingual communication. The integration of sentiment analysis makes machine translation not only able to convey information, but also able to accurately express and understand the emotional color of the original text, which is of great significance in the fields of cross-cultural communication, customer service, and social media interaction. This study overviews the development of machine translation technology, from early rule-based models to modern statistical models to Transformer-based neural network models, with a special focus on the integrated application of ChatGPT in sentiment analysis and machine translation. First, this study introduces the background and research significance of machine translation, and discusses the role of sentiment analysis in improving translation quality and user satisfaction. Subsequently, the historical development of machine translation technology is reviewed in detail, and the basic concepts and methodologies of sentiment analysis and its applications in different fields are elaborated. On this basis, this study analyzes in depth the technical architecture, language model and interaction capability of ChatGPT, as well as its specific application and performance in sentiment analysis. Further, this study explores the importance of sentiment analysis in machine translation, including sentiment recognition, translation strategies for sentiment expression, and the impact of sentiment analysis on improving translation quality and cultural adaptability. Meanwhile, the advantages and limitations of ChatGPT in sentiment analysis are assessed, and future research directions are proposed, including technology convergence, construction of datasets and evaluation criteria, and ethical and bias issues. Finally, this study summarizes the practical application value of sentiment analysis in machine translation and looks forward to the potential areas of future research, aiming to provide reference and inspiration for the further development of machine translation and sentiment analysis.

A Qualitative Study of Patient and Interprofessional Healthcare Team Member Experiences of Bedside Interdisciplinary Rounds at a VA: Language, Teamwork, and Trust.

Patient and interprofessional healthcare team member experiences of bedside interdisciplinary rounds (BIDR) are generally positive. Overall, there is large heterogeneity in existingBIDR frameworks, and best practices have not been defined. Understand patients' and interprofessional healthcare team members' experiences of BIDR. Academic VA Medical Center (VAMC) with daily structured BIDR. Inpatients, nurses, pharmacists, and care coordinators who participated in BIDR. We conducted semi-structured qualitative interviews with study participants about their experiences with BIDR between January and June 2020. All interviews were recorded and professionally transcribed. We used thematic analysis to identify key themes. We interviewed 14 inpatients and 18 interprofessional healthcare team members, including nurses, pharmacists, and care coordinators. Patients participating in BIDR reported positive perceptions of being included in the discussion of their healthcare plans and increased trust in providers; patient discomfort resulted from physician use of technical language and frombeing presented with unclear, vague careplans. Interdisciplinary healthcare team members participating in BIDR reported an increased understanding, respect, and trust for other team members and improved patient care; challenges were posed by lack of supportive structural elements to interprofessional workflow and prolonged physician presentations. BIDR can build trust between patients andhealthcare providers and within the interprofessional team by creating a setting where teamwork interactions can be observed. Based on our findings, we recommend trust-building practices for BIDR, which include sharing BIDR goals with patients, using patient-centered language, creating structures for interprofessional inclusion, defining team roles, using standardized communication, and addressing interprofessional inputs in real time.

Cross-sectoral interventions to promote health-supportive urban environments

Abstract Background As dealing with the complexity of urban living conditions becomes more and more evident and urgent, it is fundamental to promote cross-sectoral interventions that allow cities to become more inclusive and supportive of health. The Emilia-Romagna region, Italy, has promoted a participatory initiative to structurally integrate health into urban planning tools, identifying a framework of tailored urban indicators linked to locally perceived population health issues. Methods Through internal discussion and systematic literature research, a set of urban planners, epidemiologists, and public health experts from regional offices, local health services, universities, and environmental protection agencies identified the urban and health dimensions most suitable for embedding population health into city planning. The result was summarised in a preliminary working paper, which included a matrix of associations between urban features and health dimensions framed according to the DPSEEA framework. Its applicability was then tested in a participatory process (March-May 2024) involving urban planners and public health departments of 7 different sized municipalities. Results A group of epidemiologists identified local-level computable indicators for the health dimensions already included in the matrix or added at request. Each municipality focused on specific topics based on local priorities: 3 groups assessing their already-approved urban plans and looking for computable urban indicators; the others integrating their under-construction plans with local health indicators. Conclusions The need for professional contamination and cross-sectoral interventions is significant. Epidemiological support is pivotal in integrating different professional languages and reading health data. The outputs of this experience will contribute to a technical document outlining how to incorporate health promotion into urban planning tools and practice while actively considering the local context. Key messages • Although the development of a common vocabulary can be difficult, multidisciplinary collaboration is essential in promoting a model for integrating health promotion into urban planning. • Local municipalities’ involvement in the experimentation can improve the model’s applicability by taking into account territorial specificities.

Digital health literacy of adults with low reading and writing skills: A mixed-methods study

Abstract Background Around 12% of the adult population living in Germany have low reading and writing skills. Little is known about their digital health literacy and use of digital health technologies. The objectives of the Liter@te study were to assess the digital health literacy of adults with low reading and writing skills and to explore which digital tools they used in everyday life. Methods A cross-sectional survey (n = 96) and five focus groups (n = 39) were conducted with adults aged 18-64 years with low reading and writing skills. Digital health literacy was measured using the eHEALS scale and compared with results from a nationwide sample. Focus group participants completed a task course on digital health information and then discussed their experiences. Survey data were analyzed using descriptive statistics and logistic regression. Qualitative content analysis was applied to analyze the focus group data. Results Survey participants were on average 44 years old, 72% were female and 92% were not born in Germany. Compared to the nationwide survey, use of digital health technologies and digital health literacy were lower. In addition, use of digital health technologies was associated with higher digital health literacy. Lack of technical skills, language problems, and searching and finding health information online were most challenging for focus group participants (mean age 43 years, 87% female). Focus group participants reported that they prefer videos when searching for health information online and seek support from family members or local organizations if they cannot find a solution to their health issue. Conclusions Adults with low reading and writing skills search for health information online, but have difficulties to find the appropriate information. Interventions to promote digital health literacy are needed to ensure that persons with low reading and writing skills are not further left behind. Key messages • Adults with low language skills have a low digital health literacy. • Reading and writing requirements and lack of technical skills make it difficult for them to search health information online.

THE IMPACT OF DIGITAL TECHNOLOGIES ON THE DEVELOPMENT OF ESP STUDENTS’ WRITING COMPETENCE

In the context of English for Specific Purposes (ESP), developing writing competence is crucial for success in global communication, especially as digital technologies increasingly shape educational practices. This article explores the influence of digital tools on the writing development of ESP students, highlighting both the advantages and potential drawbacks. Through a mixed-method study involving 100 ESP students, the research analyzes how digital platforms and applications enhance technical language, sentence structure, and professional writing formats. While digital tools foster improved writing abilities and engagement, the study also raises concerns about the over-reliance on technology and its impact on critical self-editing skills. The findings suggest that while digital technologies offer significant benefits, educators must balance their use with the reinforcement of core writing competencies.

A novel gene editing lexicon strategy for the haemophilia community: Research plan for development and preliminary results.

Despite the progress in gene editing platforms like CRISPR/Cas9 with thepotential to transform the standard of care for haemophilia, the language used to explain and discuss gene editing is not aligned across the haemophilia community. Here, we present the objective and rationale for developing a clear, consistent, and globally aligned gene editing lexicon to address these communication gaps. Effectively communicating complex gene editing concepts requires a clear and consistent vocabulary. Through collaboration with a diversity of haemophilia stakeholders, our main goal is to develop an accurate, informative lexicon which avoids overpromising or highly technical terminology. Using an innovative process, representatives from several patient and scientific haemophilia organizations and select biotechnology companies will develop and refine language concepts to be tested with approximately seventy participants across the United States of America, United Kingdom, and Germany. Participants will include lived experience experts (LEEs) and haematologists. The process will be overseen by the Lexicon Steering Committee of global experts from leading scientific and patient organizations in the haemophilia and gene editing fields. Initial feedback provided a robust foundation and rationale for building clear, consistent language around gene editing. This lexicon development framework will allow for increased understanding across the haemophilia community, including thedevelopment of valid informed consent and shared decision-making materials. Results provide important building blocks for stimuli development and highlight the need for a novel gene editing lexicon. In the next phase, language stimuli will be tested with LEEs and haematologists to better understand audience preferences and help shape the final lexicon.

Style of Technical Language: Oil and Gas Discourse

The present paper discusses the style and characteristics of technical language generally and oil and gas discourse particularly and shows the differences between technical and scientific language. The paper starts with providing an overview on technical language and the historical emergence. Then, it shows the difference between technical and scientific language because scads of people think they are the same, which is not the case. The paper proceeds to discuss the style and characteristics of technical language giving examples [along with the Arabic proposed translation] about each characteristic for further clarification, and it moves to discuss oil and gas language showing how this discipline is versatile and interdisciplinary. Finally, the paper recapitulates the characteristics of oil and gas discourse and provides examples [along with the Arabic proposed translations] about each. This paper might be of great benefit for specialist and non-specialist individuals who use technical language, including academics, engineers, technicians, linguists, translators and many more, as it helps to improve understanding of technical texts [which is beneficial for translators] and advance the writing skills of specialist individuals.

Public information dissemination and its impact on force account implementation in Kalambo district council, Tanzania

The study assessed dissemination of public information and its impact on implementation of force accounts in Kalambo District Council in Tanzania. A cross-sectional design was employed in collecting data at one point in time with a mixed methods research approach which was used in an attempt to gain detailed information. A total of 145 participants which includes ward development committees, construction committees and community members were involved whereby 46 key informants were selected purposely based on their positions while simple random sampling technique was used in selecting 99 respondents from the community. The survey, interview, focus group discussion and documentary review method were used to gather both quantitative and qualitative data. Quantitative data were analysed using descriptive statistical analysis whereas qualitative data were analysed using content analysis. The study findings revealed that information is not easily accessible to the public and a few shared information is not clear due to confidentiality and technical language. The findings also indicate that the public is unaware about the progress force account due to ineffective dissemination of information which leads to untimely completion of works and misuse of resources. The study concludes that there is inadequate information in the implementation of force account projects, thus resulting in poor support, acceleration of low value for money and lack of accountability due to poor public scrutiny. The study recommends that the government institutions should emphasise the use of authorised social and religious gathering in an attempt to raise awareness. Moreover, the selected committee must engage the public in decision making in order to improve transparency in implementation of projects.

White Paper on User Centred Design to Address Challenges in the Design and Creation of Agricultural Data Visualisation Interfaces

The increase in agricultural data has created a need for developing tools that can manage, share, and visualise this information, while also being accessible to farmers. The use of different technical languages, varying needs, and differing objectives for the tools being developed and used creates a gap between technology developers and farmers, leading to inefficient information transfer. Consequently, interfaces are often poorly adapted to the real needs of end-users and lack essential functionality. This white paper aims to propose a User-Centred Design methodology in order to address the challenges encountered in creating interfaces for shared agricultural Data Space Ecosystems. The proposed methodology, an adaptation of ISO 9241:210-2019, highlights the importance of user participation at various stages of the interface design cycle for the creation of user-adaptive technologies.

‘Tortured phrases’ impact the integrity of the environmental literature

In environmental science, it is necessary to accurately describe processes, methods and phenomena using established technical terms and jargon. Any significant deviation from such terms might leave readers and peers confused, while confusion can lead to misinterpretations, opening up the possibility of errors. During peer review and prior to publication in a peer-reviewed environmental journal, it is thus incumbent upon editors and peer reviewers, and to a lesser extent copy editors, to verify that terminology in a scientific paper is accurate. In this brief communication, 61 papers with cases of ‘tortured phrases’, which are terms that have – for some reason – come to replace established jargon, are described in indexed environmental literature, frequently in indexed journals that are generally associated with reputable publishers. Of the 61 papers, 13 have been retracted, suggesting an erosion of the papers’ integrity. Awareness of this phenomenon and these cases allows editors and peer reviewers of environmental journals to be more careful when screening and vetting submitted papers, but should also serve as a lesson for authors to be more careful when writing their papers, avoiding the temptation to automatically incorporate text that online text thesauruses may provide, or to use non-standard terms.

«Non-conforming Pleasures»: Representations of Homosexuality in Casanova’s Histoire de Ma Vie

Giacomo Casanova’s Histoire de Ma Vie offers an interesting perspective for exploring same-sex eroticism in the eighteenth century. Despite its reputation as a classic focused on heterosexual adventures, the Memoirs reveal references to sodomy and eroticism between same-sex individuals. This article aims to identify and place in the historical context traces of this theme within the literary source. It documents biases and captures shifts in sensibilities through Casanova’s firsthand account, delving into male homoeroticism, lesbian encounters, and the evolution of Casanova’s attitude towards male sodomy at a time when terms like «homosexuality» had yet to be defined. The challenge of anachronism is addressed by acknowledging that the absence of a specific terminology in earlier periods does not negate the existence of same-sex love and intimacy. Examining the representations of same-sex eroticism in Casanova’s Histoire provides insights into the historical contextualization of male subjectivity, the understanding of emotions, and the physiological-moral discourse regarding the body-mind connection, during a pivotal turning point in the history of emotions and sexuality.

Enhancing English abstract quality for non-English speaking authors using ChatGPT: A comparative study of Taiwan, Japan, China, and South Korea with slope graphs.

A clear and proficient English abstract is crucial for disseminating research findings to a global audience, significantly impacting the accessibility and visibility of research from non-English speaking countries. Despite the adoption of ChatGPT since November 30, 2022, a comprehensive analysis of improvements in English abstracts in scholarly journals has not been conducted. This study aims to identify which authors from Taiwan, Japan, China, and South Korea (TJCS) have shown the most improvement in English abstracts. Article abstracts published in Medicine (Baltimore) sourced from the Web of Science Core Collection from 2020 to 2023 were downloaded. A mixed-methods approach was employed, combining quantitative analysis of linguistic quality indicators and qualitative assessments of coherence and engagement using the Rasch model. Ten quality indicators were determined by prompting ChatGPT. Two scenarios were analyzed: (1) generative pretrained transformer (GPT) versus non-GPT (each with 30 abstracts from 2021) and (2) TJCS in comparison (each with 100 abstracts from 2021 and 2023, respectively). Standardized mean differences were compared using paired samples t test. Visuals including forest plots, Rasch Wright Map, the slope graph, and scatter plot with 95% control lines were used to examine the 2 scenarios. (1) No significant difference was found between GPT and non-GPT abstracts with Rasch logit scores of 3.31 and 3.17, respectively (P = .42), likely due to small sample size (n = 30); (2) significant difference exists between 2020 and 2023 in each country, and between South Korea and Taiwan in 2020. Among TJCS, Taiwan showed the greatest improvement in English abstract quality post-ChatGPT implementation, followed by Japan, China, and South Korea. The English abstracts in Medicine (Baltimore) have improved, reflecting the tool's positive impact on enhancing technical language. This study demonstrates that ChatGPT can enhance the quality of English abstracts for authors from non-English speaking regions, although the assumption that all authors use ChatGPT is invalid and impractical. The findings underscore the value of artificial intelligence tools in academic writing and recommend further investigation into the long-term implications of artificial intelligence integration in scholarly communication.