Jargon Research Articles

Evaluation of Instrument Design to Explore Supervision Experience of International Chinese Doctoral Students in a Malaysian University

This study assessed the feasibility of an interview protocol to examine international Chinese doctorate students' supervision in Malaysia. It is carried out from a larger study that seeks to address gaps in the literature on these students' problems, supervision dynamics, and coping methods, given their importance in academic and cultural interchange. The initial design involved a comprehensive literature review, interview procedure development, and field expert and target student input. The respondents evaluated the interview protocol's clarity, relevance, cultural sensitivity, and linguistic ease indicated a need for revisions to improve understanding and application. Half of participants assessed the procedure as straightforward, however cultural sensitivity and language limitations were recognized as areas for improvement. On the other hand, five experts recommended simplifying technical language, including open-ended questions, and adjusting for cultural and educational variation to make the procedure useful for future study. The findings revealed that although the interview protocol's basic design is strong, adding the proposed improvements would improve its relevance, clarity, and cultural appropriateness. These upgrades should make data gathering easier, help us understand the international doctorate student experience in Malaysia, and shape future educational policy. Academicians and politicians might use the revised methodology to correctly capture Chinese PhD students' complex experiences to improve supervisory and academic assistance in Malaysian institutions.

Language Perceptions of New Mexico: A Focus on the NM Borderland

New Mexico is located along the U.S.–Mexico border, and as such, Spanish, English, and language mixing form an integral part of the New Mexican identity. New Mexico is often divided into a northern and a southern region with the north known for Spanish archaisms due to historic isolation, and the south associated with ties to a Mexican identity due to the location of the U.S.–Mexico border. The current study uses perceptual dialectology to capture the way in which speakers in the south of New Mexico perceive this north/south divide and communicate their identity. Overall, there is evidence of the north/south divide, but speakers in southern New Mexico focus much more on language use such as Spanglish, English, and Spanish than on their northern counterparts. Participants reference language mixing over language “purity” and borders over an explicit rural/urban divide. Like previous accounts, we see reference to the “correctness” of both English and Spanish, examples of specific terminology used in different parts of the state, and descriptions of accents throughout the state.

Anthropomorphising Machines and Computerising Minds: The Crosswiring of Languages between Artificial Intelligence and Brain & Cognitive Sciences

The article discusses the process of “conceptual borrowing”, according to which, when a new discipline emerges, it develops its technical vocabulary also by appropriating terms from other neighbouring disciplines. The phenomenon is likened to Carl Schmitt’s observation that modern political concepts have theological roots. The authors argue that, through extensive conceptual borrowing, AI has ended up describing computers anthropomorphically, as computational brains with psychological properties, while brain and cognitive sciences have ended up describing brains and minds computationally and informationally, as biological computers. The crosswiring between the technical languages of these disciplines is not merely metaphorical but can lead to confusion, and damaging assumptions and consequences. The article ends on an optimistic note about the self-adjusting nature of technical meanings in language and the ability to leave misleading conceptual baggage behind when confronted with advancement in understanding and factual knowledge.

A Characteristic Curve Remote Laboratory for School and University

Remote laboratories play a pivotal role in facilitating teaching and learning experiences, offering unique opportunities beyond traditional classroom settings. The project OnLabEdu (Online Laboratories for School Education) aims the development of remote laboratories for both, schools and university-level students, complete with the development of appropriate accompanying educational resources. This paper introduces a characteristic curve remote laboratory with a first-developed learning arrangement on RGB LEDs and the interplay of energy, forward voltage, and wavelength of light. Drawing from the model of educational reconstruction, the learning arrangement is based on a profound clarification of the scientific content and considering students’ perspectives. Against the background of a design-based research approach, the learning arrangement was already evaluated with high school students through probing acceptance interviews. Now we are interested if the learning arrangement also fits to tertiary level students. Therefore, we conducted six probing acceptance interviews with pre-service teacher students, hailing from physics (n=3) and non-physics (n=3) backgrounds. The primary objective of the evaluation was to identify potential barriers to learning and elements that promote a stimulating learning environment along with the operation of the remote laboratory for the tertiary level. The findings revealed similar challenges of tertiary-level students and high school students. We detected students’ challenges with technical terminology as well as explaining the term forward voltage and its connection to the concept of energy. These results give initial ideas for a re-design of the learning arrangement to address the identified issues and make the learning arrangement suitable for tertiary level students.

Biomechanics of alpine skiing and the forces that affect it

The result in alpine skiing depends on the interaction of the athlete’s body and equipment with the snow. Therefore, to get the best results, you need to use the equipment in such a way as to get the necessary reaction from the snow, because turns and braking occur due to the impact of snow on the skis. At the same time, the athlete must constantly remain in balance to avoid falls. Therefore, the aim of the study was to investigate the biomechanical apparatus of an alpine skier and the main forces that act on him during the passage of the track. To achieve this goal, the method of theoretical analysis and generalization of scientific and methodological literature was used. This paper provides a comprehensive analysis of the motor aspects and mechanics that affect athletes in alpine skiing. The article discusses the biomechanics of alpine skiing, its features and the main forces that act on an athlete while overcoming a ski slope. The article also discusses some specific terminology of skiing, which is closely related to the biomechanics of motor actions and the impact of physical forces on the athlete. Another crucial aspect of success in skiing is feeling. This article discusses the problem of using the information of sensations in skiers, obtained through musculo-articular channels and tactile senses of the athlete, the sense of time to assess the quality of downhill control. The study is important for training and preparation of athletes, where the analysis of biomechanics of movements allows to optimize the skiing technique and minimize the risk of injury. Understanding of these aspects helps to improve training strategies and develop more effective methods for improving skiing skills. The results of the research can contribute to the improvement of technique in amateur skiing, the improvement of technical training of athletes and the development of more effective training methods for achieving success in alpine skiing.

The experience of intercultural mediators in the Italian COVID-19 vaccination campaign

ABSTRACT This research investigates the experience of intercultural mediators who worked with local health authorities and civil society organizations to disseminate information about COVID-19 vaccines to migrants in two Italian territories. Interviews with intercultural mediators underlined the challenges that they faced when translating on the frontline of the vaccination campaign, including the translation of highly specialized terminology and the handling of vaccine-hesitant narratives circulating among the migrant population. In the context of COVID-19, translation involved not only transmission between languages, but also a negotiation between medical discourse and the hopes, concerns, fears, and desires of a culturally and linguistically diverse population.

Assessing the Accuracy of Generative Conversational Artificial Intelligence in Debunking Sleep Health Myths: Mixed Methods Comparative Study With Expert Analysis.

Adequate sleep is essential for maintaining individual and public health, positively affecting cognition and well-being, and reducing chronic disease risks. It plays a significant role in driving the economy, public safety, and managing health care costs. Digital tools, including websites, sleep trackers, and apps, are key in promoting sleep health education. Conversational artificial intelligence (AI) such as ChatGPT (OpenAI, Microsoft Corp) offers accessible, personalized advice on sleep health but raises concerns about potential misinformation. This underscores the importance of ensuring that AI-driven sleep health information is accurate, given its significant impact on individual and public health, and the spread of sleep-related myths. This study aims to examine ChatGPT's capability to debunk sleep-related disbeliefs. A mixed methods design was leveraged. ChatGPT categorized 20 sleep-related myths identified by 10 sleep experts and rated them in terms of falseness and public health significance, on a 5-point Likert scale. Sensitivity, positive predictive value, and interrater agreement were also calculated. A qualitative comparative analysis was also conducted. ChatGPT labeled a significant portion (n=17, 85%) of the statements as "false" (n=9, 45%) or "generally false" (n=8, 40%), with varying accuracy across different domains. For instance, it correctly identified most myths about "sleep timing," "sleep duration," and "behaviors during sleep," while it had varying degrees of success with other categories such as "pre-sleep behaviors" and "brain function and sleep." ChatGPT's assessment of the degree of falseness and public health significance, on the 5-point Likert scale, revealed an average score of 3.45 (SD 0.87) and 3.15 (SD 0.99), respectively, indicating a good level of accuracy in identifying the falseness of statements and a good understanding of their impact on public health. The AI-based tool showed a sensitivity of 85% and a positive predictive value of 100%. Overall, this indicates that when ChatGPT labels a statement as false, it is highly reliable, but it may miss identifying some false statements. When comparing with expert ratings, high intraclass correlation coefficients (ICCs) between ChatGPT's appraisals and expert opinions could be found, suggesting that the AI's ratings were generally aligned with expert views on falseness (ICC=.83, P<.001) and public health significance (ICC=.79, P=.001) of sleep-related myths. Qualitatively, both ChatGPT and sleep experts refuted sleep-related misconceptions. However, ChatGPT adopted a more accessible style and provided a more generalized view, focusing on broad concepts, while experts sometimes used technical jargon, providing evidence-based explanations. ChatGPT-4 can accurately address sleep-related queries and debunk sleep-related myths, with a performance comparable to sleep experts, even if, given its limitations, the AI cannot completely replace expert opinions, especially in nuanced and complex fields such as sleep health, but can be a valuable complement in the dissemination of updated information and promotion of healthy behaviors.

“Stay tuned!"

“Stay tuned!"

Усна історія Голодомору:специфіка наративу усноісторичних джерел

The goal of the research is to reveal peciliarities of Holodomor oral history sources through the prism of oral history theory and trauma studies. Methodology of the research is built on the principles of historicism, systematic and structural approaches in combination with the elements of such methods, as source heuristics, comparative, historical-chronological analysis; extrapolation, textological and terminological analysis. Scientific novelty is revealing of the peculiaritites of Holodomor oral history as a historical source basing on the analysis of oral history sources. Conclusions. The article suggests a set of signs of Holodomor oral history, established with the help of approahes, used in oral history theory in three angles. The first sign is tied with coexistence of two spheres «official history/personal narrative». The author concludes that taking into account pressure of the state, caused by the ideological factors, information pressure of the state became visible in 2000s, when a reasonable part of oral history testimonies had been already written; and politics of the state on ban of presence in public sphere of information about the famine had resulted into reverse reaction – rootenization of famine in individual memory. In the frames of block “time/memory” the article separates age and gender specificity. The author points that the earlier a testimony is separated, the more details and social life of a village can be received; about mostly children memories with their specificity (fragmentary, with fixation on smell-taste-colors). The article points at distinctions of female (emotional and family oriented) memories from male (try to define experience of survival of a community, with attempts to provide background of events). The majority of peculiarities is revelaed in the spheres of «trauma/recalling» – five: specific terminology («graze», «to die out», «kurkul», about food); emotionality that blocked the road as a historical source to academic studies and information field; frequent articulation or observation of high traumatism of seen and lived through during the famine; victims as almost exceptional authors of the narrative; unification of narrative that allows separation of factographic core and reflexive component of oral history source.

Doskonalenie warsztatu metodycznego nauczyciela języka specjalistycznego w kontekście kształcenia nieformalnego. Wyniki badania pilotażowego

The importance of foreign language skills has increased in the labor market in recent years. A 2012 survey in Poland shows that effective communication and language skills are the most important skills sought from job applicants. It is therefore not surprising that private language schools and companies are offering more and more foreign language courses for professional purposes. In the context of thinking about informal learning of a language for specific purposes (LSP), it is worth reflecting on how a LSP teacher is prepared for work. It seems that attending workshops or practical training should be part of the repertoire of enhancing the professional competence of LSP teachers. However, discussions with experienced language teachers reveal that the reality is quite different. Therefore, given the growing demand for specialized language courses, diagnosis and discussion of the difficulties faced by LSP teachers is of academic relevance. The first part of this article presents a pilot study conducted in 2023 among LSP teachers. Following this, the difficulties of teaching professional languages will be presented. The last part refers to the presentation of methods, techniques and forms of work that can improve the methodological repertoire of LSP teachers.

Technical Language Processing of Nuclear Power Plants Equipment Reliability Data

Operating nuclear power plants (NPPs) generate and collect large amounts of equipment reliability (ER) element data that contain information about the status of components, assets, and systems. Some of this information is in textual form where the occurrence of abnormal events or maintenance activities are described. Analyses of NPP textual data via natural language processing (NLP) methods have expanded in the last decade, and only recently the true potential of such analyses has emerged. So far, applications of NLP methods have been mostly limited to classification and prediction in order to identify the nature of the given textual element (e.g., safety or non-safety relevant). In this paper, we target a more complex problem: the automatic generation of knowledge based on a textual element in order to assist system engineers in assessing an asset’s historical health performance. The goal is to assist system engineers in the identification of anomalous behaviors, cause–effect relations between events, and their potential consequences, and to support decision-making such as the planning and scheduling of maintenance activities. “Knowledge extraction” is a very broad concept whose definition may vary depending on the application context. In our particular context, it refers to the process of examining an ER textual element to identify the systems or assets it mentions and the type of event it describes (e.g., component failure or maintenance activity). In addition, we wish to identify details such as measured quantities and temporal or cause–effect relations between events. This paper describes how ER textual data elements are first preprocessed to handle typos, acronyms, and abbreviations, then machine learning (ML) and rule-based algorithms are employed to identify physical entities (e.g., systems, assets, and components) and specific phenomena (e.g., failure or degradation). A few applications relevant from an NPP ER point of view are presented as well.

Compreensibilidade das Informações Contábeis Divulgadas pelo Setor Público Brasileiro: Uma Experiência Baseada no Uso de Popular Reporting

Purpose: To investigate the comprehensibility of the information disclosed through accounting reports from the Brazilian public sector by comparing the model mandatory disclosure with alternate disclosures from the popular reporting perspective. Method: Experimental research was used as a methodology and it was done based on scenarios with the use of a control group and three treatment groups, which encompassed the manipulation of the technical language knowledge variables and the differentiated layout based on popular reporting. Results and discussions: This paper pointed that the citizens who have no technical language knowledge but who had access to accounting information released by popular reporting know more about the accounting information disclosed by the public sector than the citizens who have technical knowledge and had access to accounting statements traditionally highlighted. Therefore, it is possible to conclude that the differentiated layout, based on popular reporting precepts, is able to overcome the lack of technical knowledge of the majority of users of the accounting information disclosed by the public sector. Contributions: Analyzing the Brazilian experience on the understandability of accounting information disclosed by the public sector from the comparison between experimental groups, this paper finds evidence that alternative ways of presenting the accounting reports disclosed by the public sector, from the use of a model based on popular reporting, overcome the lack of knowledge of technical terms used by accounting, improving the understanding of users. These findings contribute to improving the process of accountability and transparency of the accounting information disclosed by the Brazilian public sector.

Digital competence in social work education: readiness for practice

ABSTRACT In line with the digital turn in service provision, social work students should acquire relevant knowledge and skills, preparing them for work within digitalized welfare services. In Norway, these expectations are articulated in a national learning outcome (LOC) that addresses digital competence and the ability to assist in developing and using technology. Previous research has revealed digital knowledge gaps between education and practice . Here, we explore how social work educators perceive of and engage with digital competence as expressed in the LOC. Through focus group interviews with social work educators in Norway, we discovered that the knowledge gap is linked to five key findings: (a) uncertainty about the content of the LOC, (b) unfamiliar technical language, (c) the rapid development of digitalization, (d) the distribution of responsibility and (e) critical reflection. Critical reflection is expressed as a solution to the challenges. We argue that there must be knowledge about the subject matter (digital competency) that provides a foundation for such critical reflection (digital literacy). More conceptual clarity is needed regarding the LOC and what digitalization means in an educational context, in order for both digital competency and digital literacy to take their natural place in education.

Acceptance of Goods and Services under the Contractual System: Regulation and Digitization Issues

It is relatively recently that the way goods and services (GS) are accepted in the contractual system has become a focal point of research. It was prompted by the changes to the contractual system law introduced mandatory e-certification since 1 January 2022. However, while the process of e-certification as enshrined now in the law on contractual relationships was in the limelight, the concept of e-acceptance, definitions of actual and documentary acceptance and other issues were largely left out. A study of how acceptance is regulated under the national law shows a lack of systemic approach to the e-certification procedure in the law on contractual relationships, a need to put in place an acceptance procedure and to ensure public and municipal customers’ satisfaction with the quality of goods and services they purchase. The paper provides an overview of research on specific aspects of GS acceptance in the contractual system and identifies its place in the process of contractual performance. It is proposed to have a special terminology in the effective contractual relationships law for defining GS acceptance based on its purpose and identifying structural elements. A new approach to contract execution regulating actual and documentary acceptance as part of e-certification needs to be adopted. With regard to digital solutions required for e-certification, technological aspects are discussed with a view to possible regulation. It is equally proposed to formalize e-certification in the contractual system as a possible model for applying the block chain technology for the public (municipal) procurement system. An analysis of digital processes that support e-certification in the contractual system suggests a need to provide a link between technological and legal aspects of e-certification. The author also proposes a number of block chain related issues to be discussed with relation to the e-certification system.

Infrared spectroscopy for fast screening of diabetes and periodontitis

SignificanceFT-IR is an important and emerging tool, providing information related to the biochemical composition of biofluids. It is important to demonstrate that there is an efficacy in separating healthy and diseased groups, helping to establish FT-IR uses as fast screening tool. AimVia saliva diagnosis evaluate the accuracy of FT-IR associate with machine learning model for classification among healthy (control group), diabetic (D) and periodontitis (P) patients and the association of both diseases (DP). ApproachEighty patients diagnosed with diabetes and periodontitis through conventional methods were recruited and allocated in one of the four groups. Saliva samples were collected from participants of each group (n = 20) and were processed using Bruker Alpha II spectrometer in a FT-IR spectral fingerprint region between 600 and–1800 cm−1, followed by data preprocessing and analysis using machine learning tools. ResultsVarious FTI-R peaks were detectable and attributed to specific vibrational modes, which were classified based on confusion matrices showed in paired groups. The highest true positive rates (TPR) appeared between groups C vs D (93.5 % ± 2.7 %), groups C vs. DP (89.2 % ± 4.1 %), and groups D and P (90.4 % ± 3.2 %). However, P vs DP presented higher TPR for DP (84.1 % ±3.1 %) while D vs. DP the highest rate for DP was 81.7 % ± 4.3 %. Analyzing all groups together, the TPR decreased. ConclusionThe system used is portable and robust and can be widely used in clinical environments and hospitals as a new diagnostic technique. Studies in our groups are being conducted to solidify and expand data analysis methods with friendly language for healthcare professionals. It was possible to classify healthy patients in a range of 78–93 % of accuracy. Range over 80 % of accuracy between periodontitis and diabetes were observed. A general classification model with lower TPR instead of a pairwise classification would only have advantages in scenarios where no prior patient information is available regarding diabetes and periodontitis status.

Lexical ambiguities in statistics declared by in training and in-service teachers

This article aims to evaluate how teachers, in training and in-service, define the concepts of randomness, probability, chance and variability, fundamental terms in the teaching of statistics. To this end, a printed recording protocol of natural semantic networks was applied to 16 teachers in training and 58 in-service teachers, selected through non-probabilistic sampling. The results provide evidence that the concept with the lowest conceptual density in both groups is variability. Likewise, a greater presence of similar words was observed between randomness, chance and probability, despite being different concepts. Another finding is the association of the inducing concepts to words that are used within the basic lexicon in Chilean Spanish, whose dictionary is not specialized in statistics. It is concluded about the scarce use of technical language by the participants, which would eventually affect the teaching of statistics.

IMPLEMENTAREA UNEI DOCTRINE A SPRIJINULUI PRIN FOC DE NIVEL ÎNTRUNIT – CERINȚĂ A OPERAȚIEI ÎNTRUNITE

Implementing a Joint Fire Support Doctrine – Requirement for the Joint OperationAbstract: In this paper we wanted to highlight the importance of developing and implementing in the Romanian Army a jointfire support doctrine that will serve as foundation for common and coherent understanding of specific concepts and terminology forfire support in every branch of the armed forces. The unitary approach and understanding of these concepts constitute a fundamentalneed to provide timely, integrated and synchronized fire support in a joint operation.Although, at Land Forces level, “F.T.-6 – Fire support manual for group force operations” was developed in 2018, and comprisesfire support fundamentals, this manual cannot be sufficient and, in our opinion, a dedicated norm that implements fire support specificprinciples, tactics, techniques and procedures at every armed force branch is required, for responsible personnel with fire support andalso with joint targeting, no matter what force structures are generated for the joint operation. In order to achieve this requirement,we believe it is necessary to develop a dedicated doctrine at the highest national military authority regarding joint fire support, inorder to implement fire support fundamentals in every army branch of the Romanian Army – aspects that currently exist in the landforces manual, as every army branch can contribute with force structures or specialized elements to providing fire support in a jointoperation.

A Historical Introduction to Continental Pedagogics from a North American Perspective

AbstractThis article aims to serve as an introductory discussion of the European Continental tradition of pedagogics, specifically from a North American perspective. It begins with an overview of the Continental tradition and its main figures. Here, we find a philosophical and, thus, language‐sensitive attitude toward the human, the child; and a specific pedagogical terminology, i.e., descriptions and interpretations about the reality of education, such as educational practices, goals, norms, and organizational forms of educational institutions. John Dewey's educational theories exemplify the North American perspective on Continental pedagogics and its study of the fundamental nature of knowledge, reality, and existence. Dewey's writings diverge notably from this tradition, as he integrated into his work American pragmatism and an interest in the scientific method, an interest that plays a role in today's policy trends in the United States and elsewhere. Then again, Dewey took a critical stand toward instrumentalizing pedagogics for political aims. On this point, the German‐born political philosopher Hannah Arendt agreed with him. As Arendt can be seen as an example of a Continental perspective on philosophy that includes a strong warning to separate politics and education, she relates to Dewey's argument against instrumentalization. Thus, this article also features some of her work. The overall intention is to contribute to a renewal of a language for pedagogics by delineating a historical‐philosophical perspective on this specific field of professional practice.

RAC-Chain: An Asynchronous Consensus-based Cross-chain Approach to Scalable Blockchain for Metaverse

The metaverse, as an emerging technical term, conceptually aims to construct a virtual digital space that runs parallel to the physical world. Due to human behaviors and interactions being represented in the virtual world, security in the metaverse is a challenging issue in which the traditional centralized service model is one of the threat sources. To conquer the obstacle caused by centralized computing, blockchain-based solutions are potential problem-solving methods. However, it is difficult for a single blockchain to support large-scale data and business services in the metaverse, due to the scalability restrictions. Moreover, multi-chain settings also encounter the interoperability issues. In this work, we propose a Relay chain and Asynchronous consensus-based Consortium blockchain cross-Chain model, which realizes message transmission and cross-chain transactions in multiple chains by adopting the relay chain and cross-chain gateways. All nodes of the application chains and the relay chain execute cross-chain transactions in sequence and reach a consensus on transactions at any transmission delay. Our experiment evaluations demonstrate that our approach performs well in atomicity, security, and functionality (cross-chain transactions), such that the performance of blockchain scalability in the metaverse can be improved, compared with the traditional relay chain schemes.

Deciphering linguistic and cultural hurdles‎ in ‎English-Arabic media translation: Insights from the BBC ‎online news articles

Media language encompasses literary and ‎scientific elements, technical terminology, and cultural references. Effectively conveying its message to the target audience from diverse cultural and linguistic backgrounds can be challenging. This highlights some of the subtleties of media language that might add to translation difficulties. Media translation is a complex process, which involves information, knowledge, and analysis from a wide range of disciplines, including art, economics, literature, politics and science. In translating media content, accuracy in communicating cultural allusions, technical terms, and nuances ‎ to the intended audience is equally crucial as translating plain text from one language to another. This study explores the linguistic and cultural barriers that may occur while translating English-Arabic online media, with a focus on findings from BBC Online News articles. It attempts to further contribute to a deeper understanding of media translation by focusing on bridging the linguistic and cultural divide while translating English to Arabic in online media. The results of this study suggest that a translator with advanced ‎proficiency and a thorough comprehension of the subtle linguistic and cultural ‎differences that exist ‎in both languages is required to provide high-quality ‎English to Arabic translation. In other ‎‎words, skilled translators who can ‎understand and incorporate the linguistic and cultural quirks of both ‎‎languages, creating a seamless connection ‎between the translation and media ‎domains, are essential for efficient media translation.