Terminological Knowledge Research Articles

"Vulva," Not "Private Part": The Importance of Accurate Genital Terminology.

Effective communication in pediatric dermatology is critical for accurate diagnosis and treatment, particularly in sensitive areas such as the anogenital region. Unfortunately, children and their families often use euphemisms or incorrect terms when referring to this area, and many adults lack knowledge of anogenital terminology. Pediatric dermatologists can play a unique role in educating children and their families on correct anatomical language, which enhances body awareness, empowers young patients, improves safety, and contributes to accurate medical assessments and treatment adherence. By promoting the use of correct anatomical terms, pediatric dermatologists can improve patient outcomes and foster a healthier understanding of body anatomy and health.

Strategies to optimise the health equity impact of digital pain self-reporting tools: a series of multi-stakeholder focus groups.

There are avoidable differences (i.e., inequities) in the prevalence and distribution of chronic pain across diverse populations, as well as in access to and outcomes of pain management services. Digital pain self-reporting tools have the potential to reduce or exacerbate these inequities. This study aimed to better understand how to optimise the health equity impact of digital pain self-reporting tools on people who are experiencing (or are at risk of) digital pain inequities. This was a qualitative study, guided by the Health Equity Impact Assessment tool-digital health supplement (HEIA-DH). We conducted three scoping focus groups with multiple stakeholders to identify the potential impacts of digital pain self-reporting tools and strategies to manage these impacts. Each group focused on one priority group experiencing digital pain inequities, including older adults, ethnic minorities, and people living in socio-economically deprived areas. A fourth consensus focus group was organised to discuss and select impact management strategies. Focus groups were audio-recorded, transcribed verbatim, and analysed using a framework approach. We derived codes, grouped them under four pre-defined categories from the HEIA-DH, and illustrated them with participants' quotes. A total of fifteen people living with musculoskeletal pain conditions and thirteen professionals took part. Participants described how digital pain self-reports can have a positive health equity impact by better capturing pain fluctuations and enriching patient-provider communication, which in turn can enhance clinical decisions and self-management practices. Conversely, participants identified that incorrect interpretation of pain reports, lack of knowledge of pain terminologies, and digital (e.g., no access to technology) and social (e.g., gender stereotyping) exclusions may negatively impact on people's health equity. The participants identified 32 strategies, of which 20 were selected as being likely to mitigate these negative health equity impacts. Example strategies included, e.g., option to customise self-reporting tools in line with users' personal preferences, or resources to better explain how self-reported pain data will be used to build trust. Linked to people's personal and social characteristics, there are equity-based considerations for developing accessible digital pain self-reporting tools, as well as resources and skills to enable the adoption and use of these tools among priority groups. Future research should focus on implementing these equity-based considerations or strategies identified by our study and monitoring their impact on the health equity of people living with chronic pain.

This Ship Prays: The Southern Chinese Religious Seascape through the Handbook of a Maritime Ritual Master

Long kept in the British Library, a liturgical manuscript from the port of Haicheng, Fujian, holds details of the rich system of beliefs that Chinese sailors held. Originally untitled, the text by the shelfmark OR12693/18 is usually referred to as “Libation Ritual (for Ship Safety)” ([An Chuan] Zhuoxian Ke [(安船)酌献科]). Formerly, it was given scholarly attention mostly due to its addended lists of maritime placenames, which follows Qing-era sea routes across China’s coasts and to the South China Sea. Further inquiry into the manuscript’s terminology, deity names, and maritime knowledge confirms its deep relation to sailors’ lore. By tracing this text into a wide range of sources, this paper demonstrates how manuscript OR12693/18 reflects a cohesive maritime system of beliefs and knowledge. Manifested within the prayer are a hierarchical pantheon, ritual practices, and a perceived sacred seascape. Moreover, it is evident that the manuscript belonged to a tradition of sailing ritual masters who were regular members of the crew onboard junks. As such, this paper offers an analysis of a religious-professional tradition with trans-local aspects, shedding new light on seafaring in pre-modern China.

Medico-legal evaluation of occupational skin diseases and occupational skin cancer.

The medico-legal evaluation of occupational skin diseases is one of the core competencies of dermatology. As a neutral medical expert, the dermatologist has a different role to that of a treating physician. In Germany, the so-called Bamberg Recommendation (Bamberger Empfehlung) provides a scientifically based assessment basis to ensure equal treatment of all persons undergoing medico-legal evaluation. In addition to dermatological expertise, knowledge of insurance law and legal terminology is essential for the medical expert. Dermatologists provide legal and administrative decisions of social courts and social insurance institutions with their qualified expert opinions. In this way, dermatology makes an important contribution to social security.

Developing a Logistics Ontology for Natural Language Processing

The business area requires the presence of Supply Chain services, to respond to the constantly evolving requirements. Supply chains are dynamic networks that include a continuous flow of processes, starting with the supplier and ending with the customer. For effective supply chain management, a conceptual understanding of the knowledge underlying this field is of utmost importance. On the other hand, ontologies are considered one of the most appropriate ways of representing knowledge and valuable tools for decision-making situations. The purpose of this paper is to present an ontology created to identify the common concepts of supply chain management systems, with the ultimate goal of supporting and promoting Natural Language Processing technologies through the representation of terminological knowledge for this specific field.

Leveraging an mLearning Prototype to Teach Medical Terminology to Nursing Students: A Linguistic Approach

BackgroundMedical terminology enables effective communication. Many nursing students find this learning challenging. Research suggests that nursing students perceive value in receiving dedicated teaching on the linguistic rules of medical terminology. AimThe aim of this quantitative study was to explore nursing students’ experiences of using a mLearning prototype to learn medical terminology like a language. MethodPreregistration undergraduate first-year nursing students used the mLearning prototype for 6-weeks. Its use was supplemental to lectures, seminars, and practicals while remaining self-directed. Pre and postassessments were completed by participants measuring their medical terminology knowledge before and after using the mLearning prototype. ResultsQuantitative data analysis using SPSS revealed a significant mean difference in knowledge of medical terminology between the pre and postassessment results. 95% of participants agree that it increased their knowledge of medical terminology. Participants valued the evidence-based language learning strategies incorporated. ConclusionSpecialized, supplementary mLearning tools may offer an inclusive solution to support learners’ acquisition of essential medical terminology academic and clinical environment.

Enhancing Academic Competence in Future Dentists: Leveraging English for Specific Purposes in Dental Education

The purpose of the article is to evaluate the impact of a specialized English for Specific Purposes (ESP) curriculum on the academic and linguistic development of second-year dental students. The article examines the effectiveness of an ESP curriculum tailored for second-year dental students at Donetsk National Medical University. Aimed at addressing the linguistic and professional needs unique to the dental field, the study juxtaposes the academic progression of students engaged in a specialized ESP curriculum against those following a standard English course. The research incorporates a controlled design with 26 participants, divided into an experimental group receiving the ESP curriculum and a control group continuing with conventional English education. The intervention spanned one academic semester, focusing on enhancing English language proficiency, dental vocabulary, and academic skills pertinent to dental studies. Pre- and post-assessment tools were employed to measure improvements in general English proficiency, dental-specific terminology knowledge, and core academic competencies such as reading and comprehending scientific literature, academic writing, and oral presentation skills. The results demonstrated significant advancements in the experimental group, notably in language proficiency and specialized vocabulary, compared to the control group. Qualitative feedback further highlighted increased confidence and engagement among ESP participants, underscoring the curriculum's relevance and applicability to their future professional endeavors.

Design and Development of a Fully Intelligent Nursing Information System Based on International Standard Nursing Terminology.

Design and develop a Clinical Care Classification (CCC) nursing information system aligned with nursing terminology CCC, emphasizing standard procedures and a responsibility-based nursing model to enhance efficiency and quality of care. Conduct thorough investigation into clinical nursing informatics needs, analyze existing system shortcomings, utilize Microsoft.net for development, integrate standard nursing procedures and clinical operating protocols into system functions. Structure database based on bed characteristics, implant CCC Nursing Terminology and clinical nursing knowledge base. Successfully design and develop CCC Nursing Information System featuring patient list, nurse assignment, nursing evaluation, diagnosis, goals, plan, interventions, special care, shift handover, record query, workload statistics, and intelligent guidance based on patient assessment and nursing elements. The CCC Nursing Information System advances standard nursing procedures in clinical practice, promoting standardization and responsibility-based holistic care. It harnesses big data to enhance system intelligence.

A materials terminology knowledge graph automatically constructed from text corpus

A scalable, reusable, and broad-coverage unified material knowledge representation shows its importance and will bring great benefits to data sharing among materials communities. A knowledge graph (KG) for materials terminology, which is a formal collection of term entities and relationships, is conceptually important to achieve this goal. In this work, we propose a KG for materials terminology, named Materials Genome Engineering Database Knowledge Graph (MGED-KG), which is automatically constructed from text corpus via natural language processing. MGED-KG is the most comprehensive KG for materials terminology in both Chinese and English languages, consisting of 8,660 terms and their explanations. It encompasses 11 principal categories, such as Metals, Composites, Nanomaterials, each with two or three levels of subcategories, resulting in a total of 235 distinct category labels. For further application, a knowledge web system based on MGED-KG is developed and shows its great power in improving data sharing efficiency from the aspects of query expansion, term, and data recommendation.

Going Global: Scaling the Artificial Intelligence Literacy Course to an International Audience

Introduction: Applications of artificial intelligence (AI) in radiology continue to increase every year, however most radiology residencies lack a dedicated AI education curriculum. Fundamental AI education resources are even more sparse for trainees in low- to middle-income countries and under-resourced healthcare systems. The AI Literacy Course assesses the effectiveness and scalability of a free, remote AI education curriculum to increase understanding of fundamental AI terms, methods, and applications in radiology among radiology trainees in the United States and internationally. Method: A week-long AI in radiology literacy course for radiology trainees was held October 3-7, 2022. Ten 30-minute lectures utilizing a remote learning format covered basic AI terms and methods, clinical applications of AI in radiology by three different subspecialties, and special topics lectures. A proctored, hands-on clinical AI session allowed participants to directly use an FDA-cleared, AI-assisted viewer and reporting system for advanced cancer. Pre- and post-course electronic surveys were distributed to assess participants’ knowledge of AI terminology and applications, as well as their interest in AI education. Results: A total of 25 residency programs throughout the US participated in the course with participants attending from 10 countries. An average of 150 participants viewed the course per day. Nearly all participants reported insufficient exposure to AI in their radiology training (95.8%). Participant knowledge of fundamental AI terms and methods increased after completion of the course, with an average pre-course evaluation of 8.3/15 and a post-course evaluation of 10.0/15 (p=0.01). Conclusion: The scalability of the AI Literacy Course demonstrates a viable model to bring accessible fundamental AI education to radiology trainees in the United States and internationally.

The Development of Computer Assisted Vocabulary Learning (CAVL) to Improve English Lexical Retention of Nursing Students

Vocabulary mastery is crucial for nursing students to effectively communicate in English. This study aimed to develop and validate a tailored computer-assisted vocabulary learning (CAVL) intervention to improve nursing students' retention of English lexicon, which is essential for healthcare communications. The CAVL program was designed using the Moodle platform and focused on four thematic units that targeted essential nursing vocabulary. The learning process followed research-based principles of vocabulary instruction, including multimodal introduction, reinforced retrieval, and contextual repetition. This study utilized a research and development methodology to conduct iterative needs analyses, design refinement, and rigorous evaluation protocols. Expert reviews, prototype testing, post-intervention vocabulary tests, and delayed assessments were used to gather data and make data-driven improvements. Quantitative analysis evaluated the effectiveness of this approach for 100 Indonesian nursing students. Vocabulary assessments were administered before, immediately after, and two weeks after the intervention, revealing significant improvements in terminology knowledge following the implementation of CAVL. Importantly, scores remained stable during the delayed assessment, demonstrating durable retention. These results are consistent with previous literature on the benefits of contextual and multimodal vocabulary learning. The CAVL prototype facilitated learning and effectively improved vocabulary retention outside of the classroom. This research provides an adaptable framework for technologically-assisted language mastery, which is essential for the next generation of nursing education. Further studies can explore the application of this framework in allied healthcare fields and the transition to practice in nursing education.

Strategie uczenia się słownictwa specjalistycznego

CLIL (Content Language Integrated Learning) is defined as the integration of specific content with language learning objectives. In higher education, it refers to the simultaneously teaching academic content and language skills in a given language. The core concept revolves around the use of a second/foreign language to acquire knowledge, while while concurrently enhancing language skills and vocabulary, including the acquisition of new specialist terms. Developing the lexical subsystem as a an integral component of linguistic competence is particularly important in the process of linguistic reception and production. Vocabulary learning strategies prove invaluable in this context. The discussion on the strategy of learning lexis in a foreign language appeared in the academic literature at the end of the last century. Previously, this matter was addressed in research on learning strategies and communication strategies. In academia, knowledge of professional vocabulary and terminology is indispensable for mastering specialist content taught in a second language. Learners must not only grasp the meaning of concepts, but also employ them with precision. So how do students learn new specialist vocabulary, and which lexis learning strategies do they use? This article aims to present the results of my own research on the application of specialized vocabulary learning strategies by students of economic sciences.

IDENTIFICATION OF MEDICINAL HERBAL PLANT USING CNN

Herbaceous vegetation are critical for life in the world. There are many special sorts of plant life and their variety will increase every 12 months. Knowledge of various species is important in groups such as foresters, farmers, ecologists and educators. Species identification is therefore of intermediate interest. However, this requires professional know-how and may be tough and hard for non-specialists who've very little knowledge of traditional botanical terminology. But advances in device studying and computer vision can help make this assignment exceedingly clean. No system is but advanced enough to pick out all plant species, but a few work has been finished. In any take a look at we've got made such a try. Vegetation identification commonly includes four steps: picture acquisition, preprocessing, function extraction, and segmentation. This take a look at used photos from the Swedish Leaflet dataset, which includes 1125 photos of 15 distinct species. This is accompanied with the aid of preprocessing the usage of a Gaussian filtering engine, and then texture and colour features are extracted. Finally, the category become executed using convolutional neural networks, which accomplished nearly ninety five.26% accuracy, and we purpose for similarly development. Keywords: Identification, medical, Herbal Plant, Species, Machine Learning, Image Processing

Analysis of the higher education system managerial and organizational potential in the United Republic of Tanzania with the aim of implementing a model of students’ eco-awareness formation in the Russian language

Russia is one of the key players in Africa. The development of diplomatic, trade, cultural relations with African countries is important in creating Russian economic relations with the outside world. In 2020–2022, during the COVID-19 pandemic, the tourist flow from Russia to Tanzania increased, which led to an increased demand for service professionals who know the Russian language. The research conducted allowed to determine the historical peculiarities of relations between Tanzania and Russia and the organizational and pedagogical potential of higher education in Tanzania with the aim of implementing a model of eco-awareness formation in the Russian language. There are 9 bachelor’s, 6 master’s and one doctoral program of training specialists in the field of natural sciences, as well as management in the field of ecology and tourism. The application of the developed training programs, as well as the model of students’ eco-awareness formation will allow to get up to 10 specialists of bachelor level (with knowledge of Russian and natural-scientific terminology) within the period of mastering the basic educational program (three years); training a specialist of master level (with knowledge of Russian and natural-scientific terminology) has a planned indicator from three to five specialists within the period of mastering the basic educational program (two years); training a specialist of doctoral level (with knowledge of Russian and natural-scientific terminology) has a planned indicator from one to two specialists. The information obtained in the course of the research is of interest for the ministries and departments of the Russian Federation in terms of planning international events and cooperation.

Toward Non-Taxonomic Structuring of Scientific Notions: The Case of the Language of Chemistry and the Environment

This paper addresses the crucial question of the structuring of scientific Notions for the purpose of their proper teaching/acquisition. It aims to demonstrate that non-taxonomic structures, derived from the systematic lexicographic definition of terminological lexical units, can be rigorously constructed and are adequate for implementing a non-isolationist approach to terminology modeling: one that embeds the description of terminological units within a more global model of the general lexicon. Using theoretical and descriptive principles of Explanatory Combinatorial Lexicology and the lexicography of lexical networks known as Lexical Systems, we apply our approach to the core terminology of chemistry and chemistry-related environmental terminology. This allows us to propose Notion building road maps for three languages—English, French and Russian—that can be used as guides for the teaching/acquisition of chemistry Notions. Additionally, exploiting the special case of the noun carbon—which pertains to chemistry, environmental science and, even, general language—we demonstrate the potential of our non-isolationist approach for interfacing distinct sectors of terminological knowledge.

Phraseology and Culture in Terminological Knowledge Bases: The Case of Pollution and Environmental Law

Despite its importance, environmental law has largely been ignored in environmental knowledge bases. This may be due to the fact that legal issues may not, strictly speaking, be considered scientific knowledge in environmental knowledge resources, which may in turn relate to the complexity of reflecting the cultural component (which includes different legal systems) in the description of terms and concepts. The terminological knowledge base EcoLexicon has recently begun to include information on environmental law. This paper takes the methodological perspective of frame-based terminology to analyze typical verb collocations in environmental law that will be added to the phraseology module of EcoLexicon. Corpus analysis was used to compare the behavior of verbs collocating with pollution in environmental science and environmental law. Verbs were classified based on lexical domains and semantic classes through definition factorization, as described in the Lexical Grammar Model. The differences were mostly based on the specificity of the arguments and the emphasis on the polluter in environmental law. This resulted in a proposal for the inclusion and configuration of environmental law phraseology in EcoLexicon, showing sociocultural differences across environmental subdomains.

District health management and stillbirth recording and reporting: a qualitative study in the Ashanti Region of Ghana

BackgroundDespite global efforts to reduce maternal and neonatal mortality, stillbirths remain a significant public health challenge in many low- and middle-income countries. District health systems, largely seen as the backbone of health systems, are pivotal in addressing the data gaps reported for stillbirths. Available, accurate and complete data is essential for District Health Management Teams (DHMTs) to understand the burden of stillbirths, evaluate interventions and tailor health facility support to address the complex challenges that contribute to stillbirths. This study aims to understand stillbirth recording and reporting in the Ashanti Region of Ghana from the perspective of DHMTs.MethodsThe study was conducted in the Ashanti Region of Ghana. 15 members of the regional and district health directorates (RHD/DHD) participated in semi-structured interviews. Sampling was purposive, focusing on RHD/DHD members who interact with maternity services or stillbirth data. Thematic analyses were informed by an a priori framework, including theme 1) experiences, perceptions and attitudes; theme 2) stillbirth data use; and theme 3) leadership and support mechanisms, for stillbirth recording and reporting.ResultsUnder theme 1, stillbirth definitions varied among respondents, with 20 and 28 weeks commonly used. Fresh and macerated skin appearance was used to classify timing with limited knowledge of antepartum and intrapartum stillbirths. For theme 2, data quality checks, audits, and the district health information management system (DHIMS-2) data entry and review are functions played by the DHD. Midwives were blamed for data quality issues on omissions and misclassifications. Manual entry of data, data transfer from the facility to the DHD, limited knowledge of stillbirth terminology and periodic closure of the DHIMS-2 were seen to proliferate gaps in stillbirth recording and reporting. Under theme 3, perinatal audits were acknowledged as an enabler for stillbirth recording and reporting by the DHD, though audits are mandated for only late-gestational stillbirths (> 28 weeks). Engagement of other sectors, e.g., civil/vital registration and private health facilities, was seen as key in understanding the true population-level burden of stillbirths.ConclusionEffective district health management ensures that every stillbirth is accurately recorded, reported, and acted upon to drive improvements. A large need exists for capacity building on stillbirth definitions and data use. Recommendations are made, for example, terminology standardization and private sector engagement, aimed at reducing stillbirth rates in high-mortality settings such as Ghana.

Impact of the Covid-19 pandemic and ensuing online teaching on pre-clinical medical education

BackgroundMajor disruptions and changes in education have occurred worldwide as a result of the coronavirus disease (COVID-19) pandemic and the ensuing shift from in-person to online education. However, the effect of such changes on medical education, its magnitude, and the learning domains impacted by such rapid changes have not been adequately addressed, particularly with regard to objective assessment approaches.MethodsSecond-year medical students enrolled in our Medical English Course between 2019 and 2021 were recruited from Hokkaido University, Japan (N = 321) to participate in this study. We evaluated the potential impact of teaching styles on the academic performance of students before (2019; face-to-face) and during (2020; online; 2021; in-person and online) the pandemic. We examined the potential effect of three teaching styles––in-person (2019), online (2020), and a combination of these (2021) on the academic performance of medical students using: (i) subjective assessment of self-reported general English skills, including reading, writing, listening, and speaking; and (ii) objective assessment of medical terminology scores, evidence-based medicine (EBM) skills, and final written exam scores.ResultsIn-person education significantly improved listening and speaking skills in 2019 (p < 0.001). This trend was observed for writing skills in an online course in 2020 (p = 0.001). With the combined teaching method, students reported significant improvements in all four English skills. In our objective assessments, medical terminology improved significantly post-test versus pre-test for all three teaching styles, and we found that the online course did not adversely affect the gain in medical terminology knowledge during the course. Additionally, we did not find any significant differences across the three applied teaching styles regarding EBM skill levels. It is noteworthy that the students taking online courses had a significantly higher final exam score (mean ± SD; 82.8 ± 8.2) than in in-person (78.6 ± 8.8) and combined (79.7 ± 12.1) teaching styles.ConclusionsIn our study, the online/combined courses showed better academic outcomes compared to the face-to-face course in the preclinical clerkship. Although the current results need to be replicated on a larger scale, online/combined courses can continue and evolve in the post-pandemic education of medical students. Medical schools and institutions should consider incorporating such courses, especially combined courses, into their curricula in the future to improve the effectiveness, accessibility, and flexibility of medical education.

A study on knowledge, attitude, and practice of pharmacovigilance and adverse drug reactions awareness among health-care students in a tertiary care teaching hospital, Telangana, India

Background: The training of health-care students in pharmacovigilance (PV) fulfills curriculum requirements as well as providing early exposure for a secured use of medications in the future. Active participation of health-care professionals ensures successful implementation of PV. Aims and Objectives: To assess the knowledge, attitude, and practice of PV among health-care students. Materials and Methods: A cross-sectional, questionnaire-based study was conducted at Mamata Academy of Medical Sciences, Bachupally, between May 1st, 2023, and October 31st, 2023. After obtaining permission from the Institutional Ethics Committee, all health care students were provided with a study questionnaire in Google Docs. Results: Medical undergraduates (57.45%) were a majority of the 369 respondents (79.35%) enrolled. PharmDs had the highest response rate (84.76%), followed by medical (78.52%), and nursing (75.56%). The knowledge of PV terminologies was good among 50.47% of medical students, whereas 48.31% pharm ds were aware of adverse drug reactions (ADR) reporting systems and concerned regulatory authorities. 66.51% of medical students and 57.3% of Pharmds had a positive attitude toward PV. However, most of the nursing students had poor knowledge and expressed a negative attitude. Around 33% of the study participants had encountered ADRs, and 33% of the encountered ADRs were reported. Medical undergraduates had significantly better knowledge and attitude, with a mean (standard deviation) total score of 8.03 (2.08) and 3.78 (0.84), respectively (P &lt; 0.01). Conclusion: The disparity of knowledge and attitude from the practice of PV among medical students and PharmDs consequently emphasizes to enroute our strategic initiatives to address the practical difficulties and foster a better reporting culture in the future.

A Gamification Approach to Teaching Cybersecurity in CPS

With the implementation of the Industrial Internet of Things (IIoT) in modern manufacturing environments, Cybersecurity has become an outstanding challenge in the design and daily operation of networked Industrial Control Systems (ICS). While Cybersecurity is an expert domain on its own, designers and operators of such Cyber-physical Systems (CPS) need to acquire at least a fundamental understanding of Cybersecurity concepts in order to contribute to the integration of such concepts both in design and operational processes. The fact that such Cybersecurity concepts have been originally established in the Information Technology (IT) domain makes knowledge transfer to stakeholders in the mostly mechanical and Operational Technology (OT) an educational challenge on its own. This paper proposes a ludic approach to teaching fundamental Cybersecurity concepts to stakeholders without any or only little prior IT knowledge. The key methodology relies on designing game scenarios that help convey Cybersecurity terminology and concept knowledge in a ludic form before letting students actually apply them in a physical CPS environment. While this basic idea is not new, the originality of our proposed approach lies in the novel combination of existing, validated Cybersecurity teaching resources to design and implement such scenarios, and in complementing those with learning on real CPS environments. The feasibility of our approach has been demonstrated in a case-study that has delivered very promising results with respect to the potential power and effectiveness of our method.