bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empathy and clarity in GPT-4-Generated Emergency Department Discharge Letters
Authors: Ben Haim Gal , Livne Adva , Manor Uri , Hochstein David , Saban Mor , Blaier Orly , Iram Yael Abramov , Balzam Moran Gigi , Lutenberg Ariel , Eyade Rowand , Qassem Roula , Trabelsi Dan , Dahari Yarden , Eisenmann Ben Zion , Shechtman Yelena , Nadkarni Girish N , Glicksberg Benjamin S , Zimlichman Eyal , Perry Anat , Klang Eyal 
Published: October 2024

AbstractBackground and AimThe potential of large language models (LLMs) like GPT-4 to generate clear and empathetic medical documentation is becoming increasingly relevant. This study evaluates these constructs in discharge letters generated by GPT-4 compared to those written by emergency department (ED) physicians.MethodsIn this retrospective, blinded study, 72 discharge letters written by ED physicians were compared to GPT-4-generated versions, which were based on the physicians’ follow-up notes in the electronic medical record (EMR). Seventeen evaluators, 7 physicians, 5 nurses, and 5 patients, were asked to select their preferred letter (human or LLM) for each patient and rate empathy, clarity, and overall quality using a 5-point Likert scale (1 = Poor, 5 = Excellent). A secondary analysis by 3 ED attending physicians assessed the medical accuracy of both sets of letters.ResultsAcross the 72 comparisons, evaluators preferred GPT-4-generated letters in 1,009 out of 1,206 evaluations (83.7%). GPT-4 letters were rated significantly higher for empathy, clarity, and overall quality (p < 0.001). Additionally, GPT-4-generated letters demonstrated superior medical accuracy, with a median score of 5.0 compared to 4.0 for physician-written letters (p = 0.025).ConclusionGPT-4 shows strong potential in generating ED discharge letters that are empathetic and clear, preferable by healthcare professionals and patients, offering a promising tool to reduce the workload of ED physicians. However, further research is necessary to explore patient perceptions and best practices for leveraging the advantages of AI together with physicians in clinical practice.
Early alterations of motor learning and corticostriatal network activity in a Huntington’s disease mouse model
Authors: Badreddine N , Appaix F , Becq G , Achard S , Saudou F , Fino E 
Published: October 2024

ABSTRACTHuntington’s disease (HD) is a neurodegenerative disorder that presents motor, cognitive and psychiatric symptoms as it progresses. Prior to motor symptoms onset, alterations and dysfunctions in the corticostriatal projections have been described along with cognitive deficits, but the sequence of early defects of brain circuits is largely unknown. There is thus a crucial need to identify early alterations that precede symptoms and that could be used as potential early disease markers. Using an HD knock-In mouse model (HdhCAG140/+) that recapitulates the human genetic alterations and that show a late and progressive appearance of anatomical and behavior deficits, we identified early alterations in the motor learning abilities of young mice, long before any motor coordination defects. In parallel, ex vivotwo-photon calcium recordings revealed that young HD mice have altered basal activity patterns in both dorsomedial and dorsolateral parts of the striatum. In addition, while wild-type mice display specific reorganization of the activity upon motor training, network alterations present in the basal state of non-trained mice are not affected by motor training of HD mice. Our results thus identify early behavioral deficits and network alterations that could serve as early markers of the disease.
Animal acoustic communication maintains a universal optimum rhythm
Authors: Piette T. , Cathcart C. , Barbieri C. , Ming K. M. , Grandjean D. , Bickel B. , Déaux E.C , Giraud A-L. 
Published: October 2024

ABSTRACTMost animals interact with conspecifics through acoustic signals that are modulated in frequency and rhythm. While small animals vocalize at higher pitch than large ones due to the smaller size of their vocal apparatus, the rules governing vocalization rhythms throughout the animal kingdom remain unknown. Vocal rhythms serve as a natural information parser, and one possibility is that they are constrained by the neural rhythms of transmitter and receiver, known to be relatively conserved across species and independent of their size. In this study, we quantified acoustic rhythms across taxa and investigated their evolutionary history with regard to phylogeny and selective pressure. In 98 species from six classes, we tested the main factors likely to influence their communication rhythms: morphology, physiology, social complexity, mastication and detectability. Phylogenetic modeling did not confirm the influence of these species-specific factors, but rather point to a scenario where acoustic communication rhythms have been maintained around an optimum at around 3Hz in the biological (neuronal) delta range (1-4Hz) well before the mammals split. These results suggest that the rhythm of acoustic communication signals, unlike their pitch, has a universal neural determinant that has been conserved throughout evolution, allowing for intra- and cross-species signaling.
Local cytokine changes in response to mesenchymal stem cell-derived extracellular vesicles-based therapy in rat spinal cord injury
Authors: Kabdesh Ilyas , Garanina Ekaterina , Kostennikov Alexander , Rizvanov Albert , Mukhamedshina Yana 
Published: October 2024

AbstractAimTo investigate the effects of mesenchymal stem cell-derived extracellular vesicles (MSC-EVs), encapsulated in a fibrin matrix (FM), on pro-inflammatory and anti-inflammatory cytokine levels in a rat model of spinal cord injury (SCI) 60 days post-injury.MethodsMSCs were isolated from rat adipose tissue and cultured to obtain MSC-EVs using cytochalasin B. MSC-EVs encapsulated in the FM were applied to the injury site at doses of 5 and 10 µg. Four experimental groups included SCI without treatment, SCI with FM application, and SCI with FM+EVs at 5 and 10 µg doses. A multiplex assay was conducted to measure 23 cytokines in spinal cord tissue homogenates.ResultsFM application to the injury site exhibited both pro- and anti-inflammatory cytokine shifts, with the most pronounced effect for G-CSF (2.8-fold) potentially due to the hemostatic properties of the FM. MSC-EVs led to significant modulation of cytokine levels. In the SCI FM+EVs10 group, concentrations of IL-10, IL-1b, IL-5, and IL-17A were significantly lower compared to the SCI and SCI FM groups. Here the most pronounced change was observed for IL-10, which decreased by 2.4-fold.ConclusionCombined treatment with MSC-EVs and FM significantly influenced pro- and anti-inflammatory cytokine levels, demonstrating a dose-dependent effect. These findings highlight the potential of EVs to modulate inflammatory responses and promote regeneration in the chronic phase of spinal cord injury.
Distinct proliferative and neuronal programmes of chromatin binding and gene activation by ASCL1 are cell cycle stage-specific
Authors: Beckman William F. , Parkinson Lydia M. , Chaytor Lewis , Philpott Anna 
Published: October 2024

SummaryASCL1 is a potent proneural factor with paradoxical functions during development, promoting both progenitor pool expansion and neuronal differentiation. How a single factor executes and switches between these potentially opposing functions remain to be understood. Using neuroblastoma cells as a model system, we show that ASCL1 exhibits cell cycle phase-dependent chromatin binding patterns. In cycling cells, S/G2/M phase-enriched binding occurs at promoters of transcribed pro-mitotic genes, while G1 phase-enriched binding of ASCL1 is associated with the priming of pro-neuronal enhancer loci. Prolonged G1 arrest is further required to activate these ASCL1-bound and primed neuronal enhancers to drive neuronal differentiation. Thus, we reveal that the same transcription factor can control distinct transcriptional programmes at different cell cycle stages, and demonstrate how lengthening of G1 allows engagement of a differentiation programme by turning unproductive factor binding into productive interactions.
Empowering commitment: unraveling the impact of motivating language and the mediating role of trust
Authors: Talukder Md Farid , Atinc Guclu 
Published: October 2024

PurposeThe purpose of this study is to examine the direct and indirect effects of motivating language on organizational commitment, as this phenomenon has drawn the attention of researchers.Design/methodology/approachThis study employs social exchange theory and motivating language theory to examine data collected from 217 full-time employees across various US-based companies. The proposed hypotheses were analyzed using the PLS-SEM method.FindingsThis study’s findings demonstrate that motivating language positively affects employees’ organizational commitment and affective trust but not cognitive trust, which mediates the relationship between motivating language and organizational commitment.Research limitations/implicationsThere are some limitations of our study that need to be mentioned. First, there are concerns about survey data collection via M-Turk (Shapiro et al., 2013). We attempted to overcome some of these problems by including questions to identify careless respondents. Also, we eliminated many respondents who completed the surveys in unreasonably short periods of time. Hence, we believe we accounted for response bias with these check points. Also, while we believe our final sample is a representative sample due to the significant amount of data elimination during the data collection, we believe that checking for non-response bias, as Armstrong and Overton (1977) suggest, is imperative. Unfortunately, due to the nature of M-Turk, that is impossible. However, M-Turk recruits respondents based on the parameters provided by the researchers, so we expect the non-respondents to be not significantly different from the respondents. In parallel to that, we acknowledge the limitations of our study sample. Due to that reason, our findings must be considered within the context of our sample parameters. We urge future researchers of this area to further validate our findings in different types of samples.Originality/valueTo the best of the authors’ knowledge, they are the first to analyze the impact of motivating language on organizational commitment and the mediating role of trust (cognitive and affective) in this relationship.
Construction 4.0 implementation for performance improvement: an innovation management perspective
Authors: Murguia Danny , Soetanto Robby , Szczygiel Michael , Goodier Chris Ian , Kavuri Anil 
Published: October 2024

Purpose
The emergence of Construction 4.0 technologies provides an impetus for radical change and rejuvenates the interest of stakeholders in addressing long-standing performance issues in the construction sector. However, construction firms struggle to implement Construction 4.0 technologies for performance measurement and improvement. Therefore, the purpose of this research is to develop a conceptual model of innovation management for implementing Construction 4.0 that guides and facilitates the strategic transformation of construction firms.

Design/methodology/approach
A conceptual model of innovation management is presented, and the findings are synthesised based on a literature review, 20 semi-structured interviews, two focus group discussions, three workshops, expert consultation and observations on three digitally-enabled projects. Data were inductively analysed using thematic analysis.

Findings
The analysis of empirical data revealed: (i) Four scenarios that could lead the industry to different futures, based on the extent of research and development, and the extent of integration/collaboration; (ii) Construction 4.0 capability stages for a sustained implementation route; (iii) Possible business model configurations derived from servitisation strategies; and (iv) Skills management challenges for organisations.

Research limitations/implications
First, the empirical data was only collected in the UK with its unique industry context, which may limit the applicability of the results. Second, most of the research data comes from the private sector, without the views of public sector organisations. Third, the model needs to be further validated with specific data-driven use cases to address productivity and sustainability issues.

Practical implications
Successful Construction 4.0 transformation requires a concerted effort of stakeholders, including those in the supply chain, technology companies, innovation networks and government. Although a stakeholder’s action would depend on others’ actions, each stakeholder should undertake action that can influence the factors within their control (such as the extent of collaboration and investment) and the outcomes.

Originality/value
The conceptual model brings together and establishes the relationships between the scenarios, Construction 4.0 capability stages, business models and skills management. It provides the first step that guides the fuzzy front-end of Construction 4.0 implementation, underpins the transformation to the desired future and builds long-term innovation capabilities.
A maturity assessment methodology for ISO 13485 implementation in the medical devices industry
Authors: Linck William , Tinoco Maria Auxiliadora Cannarozzo , Bonato Samuel Vinícius , Grochau Ines Hexsel , Pacheco Diego A. de J. , Ten Caten Carla Schwengber 
Published: October 2024

PurposeThis study aims to develop a novel diagnostic methodology for implementing ISO13485:2016 and test its applicability to improve quality management systems (QMS) in the medical devices industry context.Design/methodology/approachFirst, a literature review on the topic was conducted. Second, insights gained from the literature and expert interviews were employed to develop the new maturity assessment methodology. Subsequently, the methodology was tested on a medical device manufacturer. Next, based on the evaluation of the intervention, actions were recommended to improve the QMS.FindingsResearch findings have developed a maturity assessment methodology comprising 52 certifiable requirements structured into four macro-requirements derived from ISO 13485:2016. Findings show that the methodology is valuable for aiding QMS implementation, and the diagnosed maturity levels corresponded with the company’s empirical perceptions of the requirement’s maturity.Practical implicationsEmpirical evidence validates the significance and practical utility of the proposed methodology, as evidenced by the company’s attainment of FDA (US Food and Drug Administration) approval after the intervention. Findings suggest that the methodology could be replicated within the medical products industry or adapted to assess other QMS, leveraging the organizational alignment with the international regulations of the sector and the ISO 9000 requirements.Originality/valueThe developed methodology fills existing gaps in both literature and practice within the medical devices industry, providing a valuable contribution by addressing the limited research on diagnostic methodologies designed for ISO 13485:2016 implementation. The article assists medical device enterprises in addressing QMS maturity levels as a metric for evaluating QMS requirements, which is an underexplored avenue in existing QMS evaluation approaches.
Organisational cyber resilience: a heuristic for bridging foundations and applications
Authors: Sallos Mark-Paul , Garcia Perez Alexeis , Bocanet Anca 
Published: October 2024

PurposeThe drive for digitalisation has increased the scope of cyber threats which can exploit the growing footprint of information and communication technology infrastructure supporting modern societies. Despite substantial interest and efforts in researching and building organisational cyber resilience, the resulting body of work is heterogeneous and has yet to reach maturity. This paper aims to address the gap in the conceptualisation of cyber resilience in academic and practice-oriented grey literature.Design/methodology/approachIn this conceptual paper, we firstly seek to explore the available foundations of resilience as a construct and consider how these can be applied to organisational cybersecurity. To that aim, this study employs a targeted literature review approach, incorporating systematic elements to ensure rigour. Literature was identified through comprehensive searches in key academic databases, reference chaining and expert recommendations. Articles were selected based on relevance and contribution to the field, resulting in a thematic analysis to identify gaps and propose a heuristic model for cyber resilience. With this approach, we aim to position the emerging view of cyber resilience relative to risk analysis, while highlighting its domain of “conceptual comparative advantage” – the types of applications it is best suited to address. Finally, a high-level heuristic model for cyber resilience is proposed, which functions across the relevant policy, strategy and operational dimensions while also considering its relationship with cyber risk management.FindingsA conceptual model for organisational cyber resilience is proposed which helps position and frame research contributions in this domain relative to risk analysis, highlighting its domain of comparative advantage. The model integrates policy, strategy and operational dimensions, in a manner conducive to bridging foundations and applications of the concept of cyber risk management. The proposed model provides a critical point of reference to evaluate individual models, frameworks and tools.Originality/valueThis paper is a pioneering effort to overcome the current gaps between conceptual and practical views of cyber resilience. It proposes a new, risk-aligned view of the concept of cyber resilience and provides a structural foundation for further research and practice in the field.
Adverse childhood experiences, economic challenges and suicide risk under COVID-19 pandemic: results from U-CORONA study
Authors: Doi Satomi Kato , Nawa Nobutoshi , Yamaoka Yui , Nishimura Hisaaki , Koyama Yuna , Kuramochi Jin , Fujiwara Takeo 
Published: October 2024

Purpose
The purpose of this study is to examine the synergistic effect of adverse childhood experiences (ACEs) and economic challenges on suicide risk, under the coronavirus disease 2019 (COVID-19) pandemic, using a prospective population-based cohort study.

Design/methodology/approach
Participants included 435 adults (aged from 18 to 92 years, mean = 53.8) from the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, a population-based longitudinal study in Utsunomiya city, Japan. The baseline survey was conducted in June 2020, between the first and the second wave of the COVID-19 pandemic in Japan. ACEs were assessed using 13 items, and economic challenges due to the COVID-19 were assessed using one item. In the follow-up study, conducted in October 2020 between the second and the third wave of the COVID-19 pandemic in Japan, suicide risk was assessed using six items from the Mini-International Neuropsychiatric Interview via a self-reported questionnaire.

Findings
This study found positive independent association between ACEs and economic challenges due to COVID-19 and suicide risk. Synergistic effects were also found: the participants with one ACE and economic challenges and those with 2+ ACEs and economic challenges were more likely to be at higher risk of suicide compared to those without ACEs and economic challenges.

Originality/value
The findings suggest that adults with a higher number of ACEs, in addition to severe economic challenges, were more likely to be at risk for suicide during the COVID-19 pandemic.
Exploring the socioeconomic factors affecting green cities development
Authors: Dzramado Emmanuel Doe , Asiedu Richard Ohene , Owusu-Manu De-Graft , Edwards David J. , Adesi Michael , Acheampong Alex 
Published: October 2024

PurposeThis paper explored the socioeconomic factors affecting green cities development. Extant literature have highlighted green cities as a major path towards sustainability in the construction industry but very little is known on the socioeconomic aspect of green cities and its bid in promoting sustainability in the construction industry; hence, the premise of this study which highlights the socioeconomic factors affecting green cities development in Ghana.Design/methodology/approachA comprehensive literature review was conducted to identify the socioeconomic factors affecting green cities. A quantitative research strategy was adopted to collect primary data from respondents who have the requisite understanding and knowledge in green cities using questionnaires. The data gathered was then analysed using descriptive statistics and exploratory factor analysis viz principal component analysis.FindingsThe socioeconomic factors affecting green city development comprised: Green support mechanisms (i.e. innovation and technology, green city planning (urban planning), stakeholder engagement, awareness, city planning (transportation) and environmental regulations); green inhibitors (i.e. population, culture, housing and policy implementation); green market and finance (i.e. digital finance, green market mechanism, green investment finance, risks and uncertainties, income levels of clients). It was evident that socioeconomic factors are significant to the development of green cities in Ghana and hence policy makers and various stakeholders should prioritize socioeconomic factors in the bid to achieve sustainability through green cities in the construction industry.Originality/valueThis paper presents a foremost and comprehensive study on the socioeconomic factors affecting green cities in Ghana. The study results showed that even though the path to sustainability in green cities has pivoted mainly on environmental factors, socioeconomic factors are also significant to green city development, hence, policy makers and the construction industry should keenly consider the socioeconomic factors affecting green city development in the bid towards sustainability for cities.
Does applying inductive methods based on system thinking improve EFL grammar learning?
Authors: Alfares Nurah 
Published: October 2024

PurposeThis study examined the effect of incorporating an inductive method based on system thinking to enhance grammar learning in the English language at a secondary school in Saudi Arabia.Design/methodology/approachThe researcher developed pre- and post-grammar tests for this study. Two EFL teachers participated; one taught the experimental group using inductive methods based on system thinking, while the other taught the control group using the traditional deductive approach to grammar instruction. Around 52 students participated in both the experimental group (26) and the control group (26). At the beginning of the term, all students completed pre-tests, and after eight weeks they completed the post-tests.FindingsThe results demonstrated significant differences between the experimental and control groups. The findings revealed that using inductive methods based on system thinking was highly effective in improving students’ grammar performance.Research limitations/implicationsThis study could benefit EFL teachers, encouraging them to use inductive materials based on system thinking to create a more meaningful, interactive and engaging learning environment.Originality/valueThis study fills a gap in the EFL literature since it examines the impact of an inductive approach based on system thinking in grammar learning. System thinking activities encourage deep reflection, helping learners deduce grammatical rules. This study could benefit EFL teachers, encouraging them to use inductive materials based on system thinking to create a more meaningful, interactive and engaging learning environment.