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The use of innovation rhetoric by non-tech individuals reinforces their personal branding. Studying four non-tech political personalities, this study provides evidence of how and why non-tech politicians are trying to present themselves as tech-savvy. As the article describes, innovation buzzwords, stories, narratives, and metaphors add value to any non-tech brand, enhancing promotional presence and marketing effectiveness. It is apparent from the findings that innovation rhetoric has the aim of creating a positive public image, which contributes to the public perception of an individual. [ABSTRACT FROM AUTHOR]

The study focused on the observable phenomena of Jargons of DOTA Players of Maniki, Kapalong, Davao del Norte. Moreover, it discussed the experiences of DOTA players as to the usage of particular language. The qualitative type of phenomenal research was done using in-depth interviews and focus group discussion among 14 participants, DOTA Players of Maniki, Kapalong, Davao del Norte. There were seven (7) informants who faced the in-depth interviews and the remaining seven (7) were for focus group discussion. Through the in-depth interviews and focus group discussion, it was gathered that the participants considered peer influences, playing DOTA for recreation, the zeal of winning, getting hooked with playing DOTA, playing DOTA as escape from problems, a language expression, DOTA language as jargon for DOTA players, and exclusive use of the language, in holistically learning the jargons of DOTA. The result of the investigation showed the informants and the participants encountered challenges in learning DOTA language. [ABSTRACT FROM AUTHOR]

Early 2021 was an opportunity to discover how lecturers were planning future in-person teaching following pandemic-induced online teaching and their reasons for doing so. In interviews, six experienced lecturers identified rationales and underpinning evidence for teaching decisions. The strongest reoccurring pedagogical rationales were enabling active learning and fostering student engagement. Lecturers stated they value student feedback and personal observation when forming their teaching decisions. These priorities can be used for future faculty development such as developing courses that focus on their priorities. The role of jargon, providing practical support and use student stories in their work should also be considered. [ABSTRACT FROM AUTHOR]

For some years now, the significance of truth for politics has been intensely debated under the buzzword "post-truth." However, this cannot hide the fact that political theory and philosophy have systematically neglected the relationship between truth and politics throughout their history. This article intends to remedy this desideratum by differentiating the various modes in which truth is referred to and invoked in the political field. To this end, the main strands of the post-truth debate are reconstructed and their shortcomings are pointed out. Second, based on a contrasting reading of Habermas and Foucault, possible starting points for systematizing the relationship between truth and politics are discussed. Third, and as a prolegomenon to such a systematization, the article proposes a cartography of political truth forms and relations along five fault lines: truth as foundation and de-foundation, truth as coercion and freedom, truth as virtue and scandal, truth as secret and transparency, and truth as knowledge and practice. [ABSTRACT FROM AUTHOR]

Copyright of Comparative Studies of South Asia, Africa, & the Middle East is the property of Duke University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recently, the original storage prescription for the Hopfield model of neural networks – as well as for its dense generalizations – has been turned into a genuine Hebbian learning rule by postulating the expression of its Hamiltonian for both the supervised and unsupervised protocols. In these notes, first, we obtain these explicit expressions by relying upon maximum entropy extremization à la Jaynes. Beyond providing a formal derivation of these recipes for Hebbian learning, this construction also highlights how Lagrangian constraints within entropy extremization force network's outcomes on neural correlations: these try to mimic the empirical counterparts hidden in the datasets provided to the network for its training and, the denser the network, the longer the correlations that it is able to capture. Next, we prove that, in the big data limit, whatever the presence of a teacher (or its lacking), not only these Hebbian learning rules converge to the original storage prescription of the Hopfield model but also their related free energies (and, thus, the statistical mechanical picture provided by Amit, Gutfreund and Sompolinsky is fully recovered). As a sideline, we show mathematical equivalence among standard Cost functions (Hamiltonian), preferred in Statistical Mechanical jargon, and quadratic Loss Functions, preferred in Machine Learning terminology. Remarks on the exponential Hopfield model (as the limit of dense networks with diverging density) and semi-supervised protocols are also provided. [ABSTRACT FROM AUTHOR]

Purpose: Access to high-quality and comprehensible patient information is crucial. However, information provided by increasingly prevalent Artificial Intelligence tools has not been thoroughly investigated. This study assesses the quality and readability of information from ChatGPT regarding three index ENT operations: tonsillectomy, adenoidectomy, and grommets. Methods: We asked ChatGPT standard and simplified questions. Readability was calculated using Flesch-Kincaid Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), Gunning Fog Index (GFI) and Simple Measure of Gobbledygook (SMOG) scores. We assessed quality using the DISCERN instrument and compared these with ENT UK patient leaflets. Results: ChatGPT readability was poor, with mean FRES of 38.9 and 55.1 pre- and post-simplification, respectively. Simplified information from ChatGPT was 43.6% more readable (FRES) but scored 11.6% lower for quality. ENT UK patient information readability and quality was consistently higher. Conclusions: ChatGPT can simplify information at the expense of quality, resulting in shorter answers with important omissions. Limitations in knowledge and insight curb its reliability for healthcare information. Patients should use reputable sources from professional organisations alongside clear communication with their clinicians for well-informed consent and making decisions. [ABSTRACT FROM AUTHOR]

The transition towards a circular economy (CE) is seen as vital for developing sustainable places. CE is used as a new buzzword, as well as an inducement to innovate and change socio-economic practices, by a diverse set of actors to meet sustainability and other goals. Genuine transformation, we argue here, requires those practices to seriously alter discourses and metrics. We adopt a material critical-relational perspective, drawing on the assemblage notion of (counter)actualisation. Our contribution is both conceptual and empirical. Conceptually, we develop an assemblage-based framework featuring practices, discourses and metrics. Empirically, we apply this to national CE policy and local initiatives in the Netherlands. Our results point out both passions and challenges to come to a genuinely transformative discourse and use of metrics. [ABSTRACT FROM AUTHOR]

AbstractThe concept of regions has long been crucial for understanding and managing Earth’s phenomena, leading to regionalization, aggregating smaller areas into larger, contiguous, and homogeneous regions to achieve specific goals. Open-source regionalization is gaining traction because it reduces dependence on commercial software and fosters wider adoption in analysis and decision-making. However, these packages, often designed by experts for specialized tasks, can be challenging to understand and utilize due to domain-specific jargon and functionalities, especially for unfamiliar users. A prevalent disconnect must be addressed: How can we make a complex optimization approach available to a broad audience with various backgrounds? This study introduces RegionDefiner, a Large Language Modeling (LLM)-powered conversational agent, to comprehensively understand the functionality, inputs, outputs, and potential applications of regionalization problems. We selected it as an illustrative example due to its wide-ranging potential for delineating study regions in various applications. RegionDefiner is designed to guide users in framing their problems, collecting necessary data, and implementing solution approaches in a straightforward and user-centric manner. The experiments demonstrate that RegionDefiner interprets and presents the results in an understandable way for all audiences, thus bridging the gap between intricate computations and practical problem-solving needs. [ABSTRACT FROM AUTHOR]

RESUMEN: Partiendo del Tratado breve de la cultivación y cura de las colmenas (1586), de Luis Méndez de Torres, primer texto donde se documenta hasta ahora, se analiza la historia de la voz des(a)hitadera en el ámbito de la tratadística apícola española. De igual forma, se estudia su presencia en otros testimonios no especializados, fundamentalmente inventarios de bienes, y en algunos repertorios lexicográficos que le dieron cobijo, así como en ciertos atlas lingüísticos que han avalado su uso y su supervivencia hasta el siglo XX. Tras la identificación del referente, una herramienta propia de la colmenería tradicional, y la descripción de su utilidad, se realiza una propuesta etimológica que explica las diferentes variantes con las que se ha registrado. [ABSTRACT FROM AUTHOR]

The promotion of self-reliance for refugees is a well-established policy priority within the global refugee support regime, hosting states and for many refugee-supporting organizations. For urban refugees, there is growing recognition of needs as well as potential for self-reliance support. However, meaningful investments in and commitment to the objective of self-reliance remain insufficient and critiques of the concept as an empty buzzword are many and substantial. This is a dialogue between Kellie Leeson and Boel McAteer, in which they elaborate on empirical examples of self-reliance programmes as either beneficial (Kellie) or counterproductive (Boel) to achieving genuine self-reliance. They conclude that self-reliance can only be wholly achieved alongside full refugee rights. They provide novel views of the concept by framing self-reliance as temporal and pragmatic on the one hand, and, on the other, by highlighting that the "self" in self-reliance often becomes unrealistically accentuated for urban refugees. [ABSTRACT FROM AUTHOR]

Incident reporting and learning systems provide an opportunity to identify systemic vulnerabilities that contribute to incidents and potentially degrade quality. The narrative of an incident is intended to provide a clear, easy to understand description of an incident. Unclear, incomplete or poorly organized narratives compromise the ability to learn from them. This report provides guidance for drafting effective narratives, with particular attention to the use of narratives in incident reporting and learning systems (IRLS). Examples are given that compare effective and less than effective narratives. This report is mostly directed to organizations that maintain IRLS, but also may be helpful for individuals who desire to write a useful narrative for entry into such a system. Recommendations include the following: (1) Systems should allow a one‐ or two‐sentence, free‐text synopsis of an incident without guessing at causes; (2) Information included should form a sequence of events with chronology; and (3) Reporting and learning systems should consider using the headings suggested to guide the reporter through the narrative: (a) incident occurrences and actions by role; (b) prior circumstances and actions; (c) method by which the incident was identified; (d) equipment related details if relevant; (e) recovery actions by role; (f) relevant time span between responses; (g) and how individuals affected during or immediately after incident. When possible and appropriate, supplementary information including relevant data elements should be included using numerical scales or drop‐down choices outside of the narrative. Information that should not be included in the narrative includes: (a) patient health information (PHI); (b) conjecture or blame; (c) jargon abbreviations or details without specifying their significance; (d) causal analysis. [ABSTRACT FROM AUTHOR]

Copyright of Beytulhikme: An International Journal of Philosophy is the property of Beytulhikme: An International Journal of Philosophy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper aims to advance the development of legal and regulatory materials summarization via an examination on state-of-the-art LLMs as well as ML/NLP coming from recent work. These technologies enable businesses to save money on compliance, simplify regulatory processes and reduce the number of risks they encounter by providing concise summaries in accurate but easy-to-read formats. Problems of controlling legal jargon, maintaining document integrity and ensuring privacy as well as the records are some highlights confronted by the study alongside with contribution avenues like entity identification, context comprehension for summarising text. [ABSTRACT FROM AUTHOR]

The essay addresses Heidegger’s language in two distinct yet interrelated ways: in terms of his understanding of language as well his own jargon. The analysis is based on a close reading of the preamble to ›Being and Time‹ (›Sein und Zeit‹), which serves as an exemplar and is representative of the suggestive language-games that are characteristic of Heidegger’s philosophy. Therefore, the analysis focuses on the use of a single word, the adverb ›eigentlich‹. In a second step, the article examines the nominalized form of inauthenticity and questions its source and shows to which extent Husserl’s understanding of language serves as a contrast to Heidegger’s own understanding of language. In conclusion, it is demonstrated how Heidegger employed two distinct exoteric languages and why ›Being and Time‹ can be regarded as a critique of language. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The theme of this study was the beliefs and practices of academic reading, in view of this, it was investigated: what is the relationship between the beliefs and practices of academic reading of the students of the Executive Secretarial of the Federal University of Sergipe (UFS)? Thus, the general objective was to investigate the relationship between the beliefs and academic reading practices of these students. The study started from a theoretical survey about beliefs and reading practices and has a qualitative approach with a descriptive nature. A semi-structured interview was carried out with three students from the 2018 class of the Executive Secretariat course by Google Meet. It was observed that the interviewees believed that they were encouraged to read during graduation by the professors, but there were other factors which frustrated and discouraged the academics who could not understand reading, such as excessive formality, jargon, fancy language, dense reading, as well as like lack of time. It is also concluded that reading practices are predominantly influenced by beliefs. [ABSTRACT FROM AUTHOR]

Customer experience has become a battleground for brands across all industries. Engagement, inspiration, personalization, and co-creation are the buzzwords in discussions on the concept of experience in companies today. In this article, we present an innovative framework: the Signature Experience. This brings together the customer experience and the levers that enable it at the organizational level. On the one hand, the customer experience must become signature, that is, "signed" by the brand in a way that reflects its identity codes and its purpose. On the other hand, in an "augmented" scenario, read unpredictable and ambiguous, the customer experience must be shaped by data, insights, and technologies that help the organization achieve greater efficiency and effectiveness. [ABSTRACT FROM AUTHOR]

A 2 (jargon vs. no jargon) × 3 (motive: control vs. accuracy vs. impression) between-subjects experiment examined the impact of jargon and processing motive in correcting climate change misinformation and promoting policy support. The results revealed a positive effect of jargon use when participants were asked to focus on accuracy during information processing. This effect was mediated by reduced anger, increased systematic processing, and enhanced perceptions of message credibility. However, jargon had a negative effect when no specific motive was induced, and it did not make a difference in correction outcomes when participants were asked to focus on making positive social impressions. These findings provide theoretical implications for information processing and practical insights for addressing misinformation in the context of climate change. [ABSTRACT FROM AUTHOR]

Sustainability is not just a buzzword, but a real and increasing requirement for outdoor advertisers, media companies and network operators. This paper describes a systems approach to make incremental efficiency improvements to components of large‐format, high‐bright LCD displays. The result is a quantum leap in LCD power efficiency, creating a low‐power LCD display system that consumes only 1/3 to 1/2 the power of conventional high‐bright LCDs in the 55"‐86" range. The result is not only lower power, but also reduced heat, longer life, and little or no compromises in optical quality or cost. [ABSTRACT FROM AUTHOR]

Background: This study assesses the quality and readability of Arabic online information about orthodontic pain. With the increasing reliance on the internet for health information, especially among Arabic speakers, it's critical to ensure the accuracy and comprehensiveness of available content. Our methodology involved a systematic search using the Arabic term for (Orthodontic Pain) in Google, Bing, and Yahoo. This search yielded 193,856 results, from which 74 websites were selected based on predefined criteria, excluding duplicates, scientific papers, and non-Arabic content. Materials and methods: For quality assessment, we used the DISCERN instrument, the Journal of the American Medical Association (JAMA) benchmarks, and the Health on the Net (HON) code. Readability was evaluated using the Simplified Measure of Gobbledygook (SMOG), Flesch Reading Ease Score (FRES), and Flesch-Kincaid Grade Level (FKGL) scores. Results: Results indicated that none of the websites received the HONcode seal. The DISCERN assessment showed median total scores of 14.96 (± 5.65), with low overall quality ratings. In JAMA benchmarks, currency was the most achieved aspect, observed in 45 websites (60.81%), but none met all four criteria simultaneously. Readability scores suggested that the content was generally understandable, with a median FKGL score of 6.98 and a median SMOG score of 3.98, indicating middle school-level readability. Conclusion: This study reveals a significant gap in the quality of Arabic online resources on orthodontic pain, highlighting the need for improved standards and reliability. Most websites failed to meet established quality criteria, underscoring the necessity for more accurate and trustworthy health information for Arabic-speaking patients. [ABSTRACT FROM AUTHOR]

The fundamental concept of this study is to explore the communication dynamics of a general contractor institution. The study examines the organizational culture and communication flow to determine the communication model employed by the institution and document its communication practices. This study employed a qualitative research approach to analyze the institution's communication dynamics in-depth. The researchers conducted an interview and documented and transcribed the responses. Thematic analysis was used to analyze the data collected from participants. The findings of this study revealed that the general contractor institution operates under a hierarchical structure but strongly emphasizes respect during interactions. Their well-organized decision-making system allows workers to raise concerns effectively. The institution adeptly uses various communication channels such as Messenger, Viber, Text Message, and Email, adapting tones to specific contexts. Challenges include industryspecific jargon, language barriers, and the influence of hierarchy on feedback dynamics. The result showed that the communication models utilized by the institution are Schramm's model and the Shannon-Weaver model, which emphasize the importance of shared meanings, standard codes, and active participation in communication. Schramm's model highlights feedback and the need for a common understanding, while the Shannon-Weaver model addresses noise reduction and the cyclical nature of communication through feedback. Overall, this study provides important insights into the communication dynamics of the general contractor institution and offers an overview of specific instances or events that have transpired within the organization. [ABSTRACT FROM AUTHOR]

An experiment (N = 209) investigated whether terms about the scientific method impacted processing fluency similarly to other forms of jargon. Political ideology emerged as a significant moderator of the effects of method jargon on processing fluency. Specifically, liberals reported a more negative processing experience after exposure to the jargon condition, in line with expected general effects of jargon, while conservatives did not report a similarly negative experience. This preliminary result adds to accumulating evidence that suggests political ideology poses a challenge for science communication. [ABSTRACT FROM AUTHOR]

Healthcare providers give explanations that patients may appreciate or resent. This study examines patients' perspectives on (un)helpful provider explanation approaches, and whether the approaches are more often mentioned for generalists or specialists. A content analysis was conducted evaluating open-ended responses from U.S. adults. Helpful approaches included providers sharing resources and giving clear explanations; unhelpful approaches included providers being negative, using jargon, and going quickly. Specialists were somewhat more likely than generalists to provide resources and use jargon. Providers could share resources and promote clarity while remaining positive and avoiding jargon when explaining information. [ABSTRACT FROM AUTHOR]

Over the past decade, extremists have increasingly aimed to integrate their ideologies into the center of society by changing the presentation of their narratives to appeal to a larger audience. This process is termed (strategic) mainstreaming. Although this phenomenon is not new, the factors that contribute to the mainstreaming of radical and extremist ideas have not been systematically summarized. To identify elements fostering mainstreaming dynamics, we conducted a systematic literature review of N  =   143 studies. The results demonstrate that mainstreaming's gradual and long-term nature makes it particularly difficult to operationalize, which is why it often remains a buzzword. In this article, we propose a novel conceptualization of mainstreaming, understanding it as two communicative steps (content positioning and susceptibility), and present 12 contributing factors. These factors can serve as starting points for future studies, helping to operationalize mainstreaming, empirically monitor it, and, subsequently, tackle its (long-term) effects. [ABSTRACT FROM AUTHOR]

The article focuses on four unique installations showcased in the Leonardo Gallery. Topics include Meesh Fradkin's voice-activated sculpture exploring the loss of meaning in buzzwords, Carmen Papalia's Pain Pals as a portal to a pain-informed culture, Andy Slater's Unseen Sound utilizing spatial audio for navigation in a nonvisual space, and Josephine Sales' Total Running Time examining temporalities of care and incarceration.

During health pandemics such as the globally menacing COVID-19, the news media act as primary sources of information for the majority of the population. However, due to the novelty of the COVID-19 pandemic, there is a dearth of studies in Zambia and Africa that explore the coverage of the pandemic in local media. This article employs Foucauldian discourse as theoretical lens to analyse the representation of the COVID-19 pandemic in two selected media platforms—the Zambia Daily Mail and Mwebantu.com. Purposively selected stories on the COVID-19 pandemic were subjected to a Foucauldian discourse analysis in order to unpack language, power and knowledge struggles in the coverage of the COVID-19 pandemic in selected Zambian media outlets. Findings show that both Zambia Daily Mail and Mwebantu were hardly analytical and critical in their coverage of the pandemic. The two publications simply regurgitated statistics on numbers of infections, recoveries, and mortality rate as announced by government officials, albeit with minimum effort to digest and unpack complex discourses for the "ordinary" reader. Moreover, in both publications, public health experts and government officials were "privileged" to authorise meanings and "truths" about COVID-19. [ABSTRACT FROM AUTHOR]

The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to the dawning of a new era. Previously dismissed as merely technological hype, these approaches have emerged as promising tools in different domains, including health care, demonstrating their potential to empower clinical pharmacology decision making, revolutionize the drug development landscape, and advance patient care. Although challenges remain, the remarkable progress already made signals that the leap from hype to reality is well underway, and AI promises to offer clinical pharmacology new tools and possibilities for optimizing patient care is gradually coming to fruition. This review dives into the burgeoning world of AI and machine learning (ML), showcasing different applications of AI in clinical pharmacology and the impact of successful AI/ML implementation on drug development and/or regulatory decisions. This review also highlights recommendations for areas of opportunity in clinical pharmacology, including data analysis (e.g., handling large data sets, screening to identify important covariates, and optimizing patient population) and efficiencies (e.g., automation, translation, literature curation, and training). Realizing the benefits of AI in drug development and understanding its value will lead to the successful integration of AI tools in our clinical pharmacology and pharmacometrics armamentarium. [ABSTRACT FROM AUTHOR]

Copyright of Sprachreport is the property of Institut fuer Deutsche Sprache and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study examines social media jargon in the context of digitalization and its impact on education and language. Digitalization refers to using digital technologies, transferring data to the digital space, and conducting business and transactions online. Digitalization, which affects almost every field, especially communication, both in daily life and corporate life, affects many issues, especially the use of language. Digitalization impacts every aspect of everyday life, especially with the active use of social media tools. Digitalization offers many advantages with its structure that makes business and transactions faster and less costly, provides easier access to resources, and makes it easier to reach more people. On the other hand, deficiencies in social media law, problems in protecting privacy and cyber security, and similar disadvantages are also experienced with digitalization. Social media use is one of the most important reflections of digitalization. The use of language on social media is related to how individuals express themselves. The lack of sufficient supervision on social media platforms also causes problems in complying with grammar rules in the use of the language. This situation also causes a structure in the use of language in social media that can be expressed as jargon. When foreign words, abbreviations, and symbols used in social media are viewed as a whole, it is observed that they do not comply with the rules of the language. Still, at the same time, they have become widespread as social media jargon. Using the language correctly strengthens the development of culture and language, as well as the understandability and dignity of the speech. Efforts to communicate quickly on social media platforms also lead to misuse of language. In the first part of this study, digitalization and its impact on education and language are evaluated. In the second part, social media jargon is considered, and various examples are given. [ABSTRACT FROM AUTHOR]

Objectives: In an era of management hype, where management concepts quickly become buzzwords within the business community (e.g., chat GPT, Artificial Intelligence, pay transparency or Industry 5.0), the crucial skill of a manager is the ability to think critically about the rationality of all those fashionable management practices. To stimulate this, we present a heuristic decision support framework to assist managers in thinking more critically about management fashions – management practices that are intensively promoted and attract public attention but might merely imitate rationality and progress. Material and methods: We employ a method of conceptual analysis, drawing from Abrahamson’s management fashion theory, self-determination theory, literature on management fads and evidence-based management. Results: The proposed decision-making support framework presents a heuristic decision tree based on three steps to evaluate management practices’ rationality, involving critical thinking about their goals, importance, and efficiency. Conclusions: The framework can be used not only to assist managerial decision-making but also to teach management students to think more critically and to empower the business community to question the rationality of currently fashionable management practices. Our decision support framework might act as a vaccine for the so-called shiny object syndrome, the tendency to chase novel, popular, or exciting management practices without evaluating if they deliver what they promise. [ABSTRACT FROM AUTHOR]

Jargon or slang words have become a norm in everyday online discourses and conversations, with a recent emergence of gendered terminology classifying activities and fashion aesthetics into a type of "girl" or "boy", both heavily popularized thanks to social media. A notable example is seen in the recent rise of gendered-specific jokes called "girl math", which is a comedy created by women on the justification of impulse shopping. This phenomenon began to give way to its counterpart called "boy math". Initially, mockery on male behavior began to expand into the areas of critiquing toxic masculinity and misogyny in society as a whole. Through sampling data from accounts that receive high traction from using such terms on the platforms of X and TikTok, the researcher is interested in conducting an intertextual research using the framework of appraisal and feminist theory in order to elucidate the linguistic nuances and cultural influences stored within these gender-specific terms, ultimately unveiling how they critique male hegemony. This research is hoped to contribute to furthering the understanding of how technology, social media, and language intersect, shaping both learning environments and societal perceptions of gender roles. [ABSTRACT FROM AUTHOR]

Background: Most health information does not meet the health literacy needs of our communities. Writing health information in plain language is time-consuming but the release of tools like ChatGPT may make it easier to produce reliable plain language health information. Objective: To investigate the capacity for ChatGPT to produce plain language versions of health texts. Design: Observational study of 26 health texts from reputable websites. Methods: ChatGPT was prompted to 'rewrite the text for people with low literacy'. Researchers captured three revised versions of each original text. Main Measures: Objective health literacy assessment, including Simple Measure of Gobbledygook (SMOG), proportion of the text that contains complex language (%), number of instances of passive voice and subjective ratings of key messages retained (%). Key Results: On average, original texts were written at grade 12.8 (SD = 2.2) and revised to grade 11.0 (SD = 1.2), p < 0.001. Original texts were on average 22.8% complex (SD = 7.5%) compared to 14.4% (SD = 5.6%) in revised texts, p < 0.001. Original texts had on average 4.7 instances (SD = 3.2) of passive text compared to 1.7 (SD = 1.2) in revised texts, p < 0.001. On average 80% of key messages were retained (SD = 15.0). The more complex original texts showed more improvements than less complex original texts. For example, when original texts were ≥ grade 13, revised versions improved by an average 3.3 grades (SD = 2.2), p < 0.001. Simpler original texts (< grade 11) improved by an average 0.5 grades (SD = 1.4), p < 0.001. Conclusions: This study used multiple objective assessments of health literacy to demonstrate that ChatGPT can simplify health information while retaining most key messages. However, the revised texts typically did not meet health literacy targets for grade reading score, and improvements were marginal for texts that were already relatively simple. [ABSTRACT FROM AUTHOR]

Issues: Vaporisation is a common method of cannabis administration. Inconsistent terminology and jargon regarding vaporisation has led to confusion. The increasing public interest and access to cannabis, combined with possible safety concerns associated with certain cannabis vaping products, warrants improved consumer and public and health care professional knowledge. Approach: To improve this knowledge, we conducted a review of the common terminology, regulatory status, products and device types related to cannabis vaporisation. Key Findings: Cannabis vaporisation devices can be separated into nine types. While vaporisation reduces respiratory risks associated with cannabis combustion, not all vaping products and device types carry the same level of safety. Metered dose inhalers and dried product vaporisers present the lowest safety risk due to a lower risk of toxin exposure and the use of lower tetrahydrocannabinol potency products. Implications: As both vaping and cannabis use increase in popularity, focusing on accurate health education will help facilitate health promotion to encourage lower risk use. The current lack of understanding on risk differences between types of cannabis vaporisation is a missed opportunity for harm reduction. Increased opportunities for public health and health care professional education on different cannabis vaporisation devices and associated risks are warranted. Improvements to health warning labelling may also be beneficial. Conclusion: Not all cannabis vaporisation devices and products carry the same level of risk. A better understanding of risk differentiation is needed among consumers and health professionals. Continued research, policy development and health education can lead to safer cannabis vaporisation. [ABSTRACT FROM AUTHOR]

Informed consent forms (ICFs) are documents used in clinical research to inform prospective participants about -- and obtain their consent for -- partaking in a clinical trial. Evidence suggests that ICFs may not be fit for purpose because their linguistic and textual features exceed the comprehensibility needs of their non-expert target audience. These issues also affect medical translators who translate ICFs for prospective participants of international trials. This article discusses some of the main challenges of translating ICFs, such as specialised terminology and jargon, lexico-syntactic complexity, and text length, and argues for increased training and collaboration to mitigate these difficulties in medical translation. [ABSTRACT FROM AUTHOR]

This article explores the use of mathematics to achieve fair allocation in various scenarios, such as assigning seats in the U.S. House of Representatives, choosing election winners, and assigning students to schools. It introduces the Top Trading Cycle (TTC) algorithm as a method for achieving fair allocation. The algorithm assigns prizes to winners based on their preferences, ensuring that each winner receives their most preferred prize that is currently available. The article provides a worked example to illustrate the algorithm and discusses its advantages and limitations, including its use in school-choice problems and the tradeoffs compared to the Deferred Acceptance algorithm. [Extracted from the article]

The article discusses the concept of masculinity and masculinities within the field of Critical Studies of Men and Masculinities (CSMM). It explores the tendency to identify and name different types of masculinities, resulting in a growing list of concepts. The author argues that masculinity and masculinities can be seen as "buzzwords" that fulfill the criteria of interesting and successful theoretical concepts. The article also highlights the need for conceptual clarity and theoretical development within the field. The issue of the journal includes articles on men's embodiment, migration, and negotiations of gendered patterns. [Extracted from the article]

As an emerging form of discourse in the Internet era, network buzzwords serve as an indicator of the mentality of the youth, reflecting their identity. However, research on the implementation of network buzzwords in the context of gender formations has been limited. This study fills this research gap by using critical discourse analysis to analyse the use of 11 gender-specific buzzwords listed in the annual list of top-ten network buzzwords published by the magazine Yaowen Jiaozi from 2012 to 2021 on the social media platform, Weibo. It discusses how the gender network buzzwords shape the identity of young groups, what kind of identities were formed, and how young people use gender buzzwords to construct both gender-conforming and patriarchal discourse, as well as gender-nonconforming discourse, from the perspectives of conformity and nonconformity. Additionally, it discusses the cultural significance of network buzzwords and their potential impact on contemporary society. [ABSTRACT FROM AUTHOR]

Circular economy (CE) and Industry 4.0 are recent business buzzwords that help organizations to maintain a circular flow and optimize the use of resources with technological supports to improve sustainability practice. Transition towards CE and Industry 4.0 is promising and yet challenging. As such, the aim of this research is to investigate how to integrate CE and Industry 4.0 in sustainable supply chain management (SSCM) in order to improve operational efficiency and sustainability performance. This study provides an analysis of the dynamic changes of drivers and barriers when integrating CE and Industry 4.0 and their related applications in operations and SCM through a systematic review of literature. From the results, a theoretical framework was derived for future research development. [ABSTRACT FROM AUTHOR]

We examined whether source accent moderates jargon's effects on listeners' processing fluency and receptivity to science communication. Americans heard a speaker describing science using either jargon or non-jargon and speaking with either a native (standard American) or foreign (Hispanic) accent. Compared to non-jargon, jargon disrupted listeners' fluency for both speakers, but especially the foreign-accented speaker; jargon also reduced information-seeking intentions and perceived source and message credibility, but only for the foreign-accented speaker. Fluency mediated the effects of jargon on outcomes. [ABSTRACT FROM AUTHOR]

Purpose: "Metaverse" has become a buzzword in the Chinese stock market. However, it remains unclear whether a firm's metaverse-related announcements will elicit positive stock market reactions. Whether and how stakeholder reactions are influenced by a firm's metaverse-related readiness also needs to be further explored. This study aims to discuss the aforementioned objective. Design/methodology/approach: The authors derived a set of factors based on readiness theory and business ecosystem literature and extend them into the context of the metaverse. The authors used a sample of 642 Chinese listed firms in 2021 to investigate the hypotheses through the event study. Findings: The study's findings show that metaverse coverage induces a positive stock market reaction, but it is subject to three moderating effects. The authors introduce the novel concepts of IT readiness, ecosystem readiness and digital infrastructure readiness as the moderators. Stakeholders perceive metaverse announcements as overhyped, and stock prices do not fluctuate significantly after a metaverse announcement when the listed firms are not ready to embrace the metaverse. Originality/value: This study is one of the first that introduces the event study method into the metaverse research, and it reveals that different levels of readiness influence stakeholders' evaluations and reactions to corporate metaverse coverage. This provides empirical evidence on metaverse development in China from the stock market's perspective. [ABSTRACT FROM AUTHOR]

We analyse the popularity of the term 'financial inclusion' in relation to other development buzzwords. We extract trend data for multiple development buzzwords across countries and cities from 2004 to 2022, and we run a series of empirical analyses. We find that the 'financial inclusion' buzzword is popular because the term 'financial inclusion' is correlated with other development buzzwords, particularly 'microfinance', 'digital finance', 'inclusive finance', 'financial exclusion' and 'Fintech' buzzwords. Financial inclusion buzzword is more popular in developing countries than in developed countries. Financial inclusion buzzword is also popular in major cities in developing countries. We also observe that the financial inclusion buzzword was more popular during the second wave of the COVID‐19 pandemic. There is uni‐directional causality between interest in financial inclusion and interest in fintech and inclusive finance, indicating that interest in financial inclusion buzzword causes interest in fintech and inclusive finance buzzword. There is also uni‐directional causality between interest in financial exclusion and interest in financial inclusion. Finally, there is a significant correlation between interest in the 'financial inclusion', 'digital finance', 'inclusive finance' and 'Fintech' buzzwords. [ABSTRACT FROM AUTHOR]

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Copyright of OPUS Journal of Society Research is the property of OPUS - International Journal of Society Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: While patient and public involvement and engagement (PPIE) is now seen as a cornerstone of mental health research, young people's involvement in PPIE faces limitations. Work and school demands and more limited independence can make it challenging for young people to engage with PPIE. Lack of ability or desire to attend face-to-face meetings or group discussions can further compound this difficulty. The VoiceIn app and digital platform were codeveloped by a multidisciplinary team of young people, mental health researchers, and software designers, and enables young people to engage directly with PPIE opportunities via a mobile app. Objective: This paper aims to describe how VoiceIn was developed through a series of co-design workshops with relevant stakeholders, specifically (1) how the initial design of VoiceIn was informed and driven by focus groups with young people, mental health professionals, and PPIE leads; (2) how VoiceIn was refined through collaboration with the aforementioned stakeholders; (3) the priorities for an app to support PPIE; (4) the key features necessary in the PPIE app; and (5) the recommended next steps in testing and deploying the digital platform. Methods: Initial co-design workshops took place with young people, mental health professionals, and PPIE leads to identify key features of an app to support PPIE. A series of VoiceIn design prototypes were developed and iterated based on the priorities and preferences of the stakeholders. The MoSCoW (must have, should have, could have, won't have) prioritization method was used throughout the process to identify priorities across the different stakeholder groups. Results: Co-design with young people, mental health professionals, and PPIE leads supported the successful development and improvement of the VoiceIn app. As a result of this process, key features were identified, including allowing for various modes of providing feedback (eg, polls and comments), reviewing project updates, and expressing interest in categories of research. The researcher platform was developed to support multimedia uploads for project descriptions; a jargon detector; a dedicated section for providing project updates; and a visually appealing, user-friendly design. While all stakeholder groups emphasized the importance of allowing app users to engage with the app in various ways and for there to be ongoing progress updates, group differences were also noticed. Young people expressed a desire for incentives and rewards for engaging with the app (eg, to post on their public social media profiles), and mental health professionals and PPIE leads prioritized flexibility in describing the project and its PPIE needs. Conclusions: A co-design approach was pivotal to the development of the VoiceIn app. This collaborative approach enabled the app to meet the divergent needs of young people, mental health professionals, and PPIE leads. This process mirrored the aspirations of PPIE initiatives by cocreating a digital health research tool with key stakeholders. [ABSTRACT FROM AUTHOR]

Demographic, technological, and global trends have brought the language used at the workplace to the forefront. A growing body of research reveals that language could result in misunderstanding at work, and influence employees' performance and attitudinal outcomes. Language at work encompasses standard language (e.g., English) as well as several hybrid forms of language (non-native accents, code-switching, and jargon). We delineate how these forms of language could result in misunderstanding. We then identify relational, affective, and informational mechanisms that underlie the relationship between language-related misunderstanding and employees' performance and attitudinal outcomes, and highlight key boundary conditions. In doing so, we uncover research gaps and identify areas for future research. We conclude with implications for theory as well as for practitioners to navigate language-related misunderstanding at work. [ABSTRACT FROM AUTHOR]

The Prison Rape Elimination Act (PREA) was implemented to prevent sexual assault within correctional facilities. To communicate PREA principles to inmates, written materials including handbooks, policies, and brochures are utilized. This research evaluates the readability of PREA messaging, employing three established metrics: Flesh Reading Ease Score, Flesch–Kincaid Grade Level, and Simple Measure of Gobbledygook. Findings reveal significant deviation from recommended reading targets for both the general (7th–8th grade) and inmate (5th–6th grade) populations. Prison Rape Elimination Act policies averaged a 16th-grade level, raising concerns regarding the efficacy of PREA implementation and compliance in light of potential comprehension challenges. [ABSTRACT FROM AUTHOR]

Innovation has a special place in the work of business organisations, regardless of their field of activity, size or market experience. Thus, whether we are looking at firms involved in the production of goods or the provision of services, innovation has become a buzzword that is not missing from corporate language or organisational processes. In fact, managers' concern for performance enhancement has led to the adoption and implementation of various innovative tools in certain aspects/activities in the companies they manage, tools that have a positive influence on competitiveness and organisational performance. Traditionally, innovation is approached through technical elements, and is usually associated with a new product, a new technology, which is easier to quantify/determine, as results can be observed more quickly. Business realities highlight that innovation also involves other elements that are part of a company's processes, playing at least as important a role as those strictly linked to new products/technologies, including process, organisational and marketing innovations. These contribute significantly to the way the firm streamlines its operations, improves certain processes, implements new techniques/tools that will facilitate a high level of performance. Therefore, there is a need for a broader approach to the types of innovations that are found in the work of business organisations and how they contribute beneficially to their economic progress. [ABSTRACT FROM AUTHOR]