bluuebunny/crossref_metadata_2025_split huggingface dataset:
ChatGPT: a game changer for knowledge management in organizations
Authors: Sumbal Muhammad Saleem , Amber Quratulain 
Published: February 2024

PurposeGenerative AI and more specifically ChatGPT has brought a revolution in the lives of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.Design/methodology/approachThis study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.FindingsWe posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.Research limitations/implicationsThe study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.Originality/valueThis is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.
Knowledge exploration in cross-border acquisitions: how does absorptive capacity matter?
Authors: Moura Stephanie , Falaster Christian Daniel , Lawton Thomas C. 
Published: February 2024

Purpose
This study aims to explore how the absorptive capacity of emerging market multinationals (EMNEs) facilitates increased acquirer performance in industry exploration and technology exploration cross-border acquisitions (CBAs).

Design/methodology/approach
The research context for this study is Brazilian EMNEs and their CBAs. The final database contains 101 CBAs.

Findings
The authors find that industry exploration strategies negatively affect financial performance, but technology exploration strategies have a positive effect. The acquirer’s absorptive capacity can exacerbate the negative effects, except in instances of technology exploration strategies, where there is a demonstrable benefit from the acquirer’s absorptive capacity.

Originality/value
The study contributes first by providing a more nuanced understanding of the effects of absorptive capacity on postacquisition performance, depending on the type of knowledge explored. Second, by drawing on EMNE learning perspectives, the authors demonstrate the versatility of absorptive capacity in emerging markets.
Star CEOs: influence on competitor CEOs' risk-taking
Authors: Cho Sam Yul , Choi Yohan 
Published: February 2024

PurposeResearch has focused primarily on the antecedents that influence the risk taking of CEOs themselves. This study examines how an important event experienced by a CEO at a direct rival firm influences a CEO's risk-taking. It also examines how prior firm performance relative to aspirations moderates the relationship.Design/methodology/approachIn order to test the hypothesis, the authors perform an a difference-in-differences methodology.FindingsUsing a difference-in-differences methodology, we find that when a CEO wins a prestigious CEO award, competitor CEOs increase their firm risk-taking in the post-award period. The proclivity becomes stronger when their prior firm performance relative to aspirations is better. These findings suggest that a CEO winning a prominent CEO award influences competitor CEOs' risk-taking.Originality/valueThis study contributes to the literature on managerial risk-taking by highlighting that a star CEO winning a prominent award may serve as a striving aspiration and induce competitor CEOs to take risks, and that two different types of aspirations – striving and competitive aspirations – interact to influence the competitor CEOs' risk-taking.
Thermal management of square light emitting diode arrays: modeling and parametric analysis
Authors: Ben Hamida Mohamed Bechir 
Published: February 2024

PurposeThis study investigates the impact of three parameters such as: number of LED chips, pitch and LED power on the junction temperature of LEDs using a best heat sink configuration selected according to a lower temperature. This study provides valuable insights into how to design LED arrays with lower junction temperatures.Design/methodology/approachTo determine the best configuration of a heat sink, a numerical study was conducted in Comsol Multiphysics on 10 different configurations. The configuration with the lowest junction temperature was selected for further analysis. The number of LED chips, pitch and LED power were then varied to determine the optimal configuration for this heat sink. A general equation for the average LED temperature as a function of these three factors was derived using Minitab software.FindingsAmong 10 configurations of the rectangular heat sink, we deduce that the best configuration corresponds to the first design having 1 mm of width, 0.5 mm of height and 45 mm of length. The average temperature for this design is 50.5 C. For the power of LED equal to 50 W–200 W, the average temperature of this LED drops when the number of LED chips reduces and the pitch size decreases. Indeed, the best array-LED corresponds to 64 LED chips and a pitch size of 0.5 mm. In addition, a generalization equation for average temperature is determined as a function of the number of LED chips, pitch and power of LED which are key factors for reducing the Junction temperature.Originality/valueThe study is original in its focus on three factors that have not been studied together in previous research. A numerical simulation method is used to investigate the impact of the three factors, which is more accurate and reliable than experimental methods. The study considers a wide range of values for the three factors, which allows for a more comprehensive understanding of their impact. It derives a general equation for the average temperature of the LED, which can be used to design LED arrays with desired junction temperatures.
Genome‐wide analysis of bZIP gene family members in Pleurotus ostreatus, and potential roles of PobZIP3 in development and the heat stress response
Authors: Zhou Yuanyuan , Li Zihao , Xu Congtao , Pan Jinlong , Li Haikang , Zhou Yi , Zou Yajie 
Published: February 2024

AbstractThe basic leucine zipper (bZIP) transcription factor (TF) is widespread among eukaryotes and serves different roles in fungal processes including nutrient utilization, growth, stress responses and development. The oyster mushroom (Pleurotus ostreatus) is an important and widely cultivated edible mushroom worldwide; nevertheless, reports are lacking on the identification or function of bZIP gene family members in P. ostreatus. Herein, 11 bZIPs on 6 P. ostreatus chromosomes were systematically identified, which were classified into 3 types according to their protein sequences. Phylogenetic analysis of PobZIPs with other fungal bZIPs indicated that PobZIPs may have differentiated late. Cis‐regulatory element analysis revealed that at least one type of stress‐response‐related element was present on each bZIP promoter. RNA‐seq and RT‐qPCR analyses revealed that bZIP expression patterns were altered under heat stress and different developmental stages. We combined results from GST‐Pull‐down, EMSA and yeast two‐hybrid assays to screen a key heat stress‐responsive candidate gene PobZIP3. PobZIP3 overexpression in P. ostreatus enhanced tolerance to high temperature and cultivation assays revealed that PobZIP3 positively regulates the development of P. ostreatus. RNA‐seq analysis showed that PobZIP3 plays a role in glucose metabolism pathways, antioxidant enzyme activity and sexual reproduction. These results may support future functional studies of oyster mushroom bZIP TFs.
Using MRI radiomics to predict the efficacy of immunotherapy for brain metastasis in patients with small cell lung cancer
Authors: Shi Xiaonan , Wang Peiliang , Li Yikun , Xu Junhao , Yin Tianwen , Teng Feifei 
Published: February 2024

AbstractBackgroundBrain metastases (BMs) are common in small cell lung cancer (SCLC), and the efficacy of immune checkpoint inhibitors (ICIs) in these patients is uncertain. In this study we aimed to develop and validate a radiomics nomogram based on magnetic resonance imaging (MRI) for intracranial efficacy prediction of ICIs in patients with BMs from SCLC.MethodsThe training and validation cohorts consisted of 101 patients from two centers. The interclass correlation coefficient (ICC), logistic univariate regression analysis, and random forest were applied to select the radiomic features, generating the radiomics score (Rad‐score) through the formula. Using multivariable logistic regression analysis, a nomogram was created by the combined model. The discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. Kaplan–Meier curves were plotted based on the nomogram scores.ResultsTen radiomic features were selected for calculating the Rad‐score as they could differentiate the intracranial efficacy in the training (area under the curve [AUC], 0.759) and the validation cohort (AUC, 0.667). A nomogram was created by combining Rad‐score, treatment lines, and neutrophil‐to‐lymphocyte ratio (NLR). The training cohort obtained an AUC of 0.878 for the combined model, verified in the validation cohort (AUC = 0.875). Kaplan–Meier analyses showed the nomogram was associated with progression‐free survival (PFS) (p = 0.0152) and intracranial progression‐free survival (iPFS) (p = 0.0052) but not overall survival (OS) (p = 0.4894).ConclusionA radiomics nomogram model for predicting the intracranial efficacy of ICIs in SCLC patients with BMs can provide suggestions for exploring individual‐based treatments for patients.
Transcriptomic evaluation of skin tape‐strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma‐associated biomarkers abnormalities
Authors: Del Duca Ester , Dahabreh Dante , Kim Madeline , Bar Jonathan , Da Rosa Joel Correa , Rabinowitz Grace , Facheris Paola , Gómez‐Arias Pedro Jesús , Chang Annie , Utti Vivian , Chowdhury Amira , Liu Ying , Estrada Yeriel D. , Laculiceanu Alexandru , Agache Ioana , Guttman‐Yassky Emma 
Published: February 2024

AbstractIntroductionTape‐strips, a minimally invasive method validated for the evaluation of several skin diseases, may help identify asthma‐specific biomarkers in the skin of children with allergic asthma.MethodsSkin tape‐strips were obtained and analyzed with RNA‐Seq from children with moderate allergic asthma (MAA) (n = 11, mean age 7.00; SD = 1.67), severe allergic asthma (SAA) (n = 9, mean age 9.11; SD = 2.37), and healthy controls (HCs) (n = 12, mean age 7.36; SD = 2.03). Differentially expressed genes (DEGs) were identified by fold change ≥2 with a false discovery rate <0.05. Transcriptomic biomarkers were analyzed for their accuracy in distinguishing asthma from HCs, their relationships with asthma‐related outcomes (exacerbation rate, lung function‐FEV1, IOS‐R5‐20, and lung inflammation‐FeNO), and their links to skin (barrier and immune response) and lung (remodeling, metabolism, aging) pathogenetic pathways.ResultsRNA‐Seq captured 1113 in MAA and 2117 DEGs in SAA. Epidermal transcriptomic biomarkers for terminal differentiation (FLG/filaggrin), cell adhesion (CDH19, JAM2), lipid biosynthesis/metabolism (ACOT2, LOXL2) were significantly downregulated. Gene set variation analysis revealed enrichment of Th1/IFNγ pathways (p < .01). MAA and SAA shared downregulation of G‐protein‐coupled receptor (OR4A16, TAS1R3), upregulation of TGF‐β/ErbB signaling‐related (ACVR1B, EGFR, ID1/2), and upregulation of mitochondrial‐related (HIGD2A, VDAC3, NDUFB9) genes. Skin transcriptomic biomarkers correlated with the annualized exacerbation rate and with lung function parameters. A two‐gene classifier (TSSC4‐FAM212B) was able to differentiate asthma from HCs with 100% accuracy.ConclusionTape‐strips detected epithelial barrier and asthma‐associated signatures in normal‐appearing skin from children with allergic asthma and may serve as an alternative to invasive approaches for evaluating asthma endotypes.
Preterm infants experience a nadir in cerebral oxygenation during sleep three months after hospital discharge
Authors: Yee Alicia K. , Shetty Marisha , Siriwardhana Leon S. , Walter Lisa M. , Wong Flora Y. , Horne Rosemary S. C. 
Published: February 2024

AbstractAimPreterm infants are at increased risk of Sudden Infant Death Syndrome (SIDS) and frequently experience short central apnoeas which can occur in isolation or a repetitive pattern (periodic breathing). We investigated the relationship between central apnoeas experienced before and over the 6 months after hospital discharge and cerebral oxygenation.MethodsPreterm infants born between 28 and 32 weeks gestational age (GA) were studied during supine daytime sleep at 32–36 weeks post menstrual age (PMA) (n = 40), 36–40 weeks PMA (n = 27), 3‐months corrected age (CA) (n = 20) and 6‐months CA (n = 26). Cerebral tissue oxygenation (TOI), peripheral oxygenation (SpO2) and heart rate were recorded continuously. The percentage total sleep time (%TST) spent having central apnoeas at each study and cerebral fractional oxygen extraction (SpO2‐TOI/SpO2) were calculated.Results%TST spent with central apnoeas decreased with increasing age in both active sleep (AS) and quiet sleep (QS). TOI tended to be lower and cerebral fractional oxygen extraction higher at 3 months compared to the other studies and this reached statistical significance compared to 32–36 weeks in QS.ConclusionThe nadir in cerebral tissue oxygenation at 3 months of age coincides with the peak risk period for SIDS and this may contribute to increased risk in these infants.
Trauma and Dissociation in Young Offenders
Authors: Di Cori Renzo 
Published: February 2024

AbstractAlthough countless studies provide evidence that many juvenile offences originate from traumatic episodes and consistently demonstrate that exposure to adverse childhood experiences is a significant risk factor for antisocial development, our understanding of the processes that lead some but not all traumatized children to become juvenile offenders is still in progress. By presenting some clinical cases regarding juvenile offenders, the author aims to illustrate how different growth paths, marked by omissive or break‐in experiences, can lead to the same criminal end‐point. The dissociative spectrum mechanisms, the standstill of figurative and symbolic capacity, and the lack of thought resulting from adverse experiences account for the economic and functional underpinnings that lead to juvenile delinquency. For these adolescents, criminal acting represents the ultimate means to neutralize the trauma's attractive force or to mark a boundary to the emotional void left behind by violence or an unsuccessful primary caregiving experience.
Ranking and filtering of neuropathology features in the machine learning evaluation of dementia studies
Authors: Rajab Mohammed D. , Taketa Teruka , Wharton Stephen B. , Wang Dennis ,   Cognitive Function and Ageing Neuropathology Study, and for the Alzheimer's Disease Neuroimaging Initiative
Published: February 2024

AbstractEarly diagnosis of dementia diseases, such as Alzheimer's disease, is difficult because of the time and resources needed to perform neuropsychological and pathological assessments. Given the increasing use of machine learning methods to evaluate neuropathology features in the brains of dementia patients, it is important to investigate how the selection of features may be impacted and which features are most important for the classification of dementia. We objectively assessed neuropathology features using machine learning techniques for filtering features in two independent ageing cohorts, the Cognitive Function and Aging Studies (CFAS) and Alzheimer's Disease Neuroimaging Initiative (ADNI). The reliefF and least loss methods were most consistent with their rankings between ADNI and CFAS; however, reliefF was most biassed by feature–feature correlations. Braak stage was consistently the highest ranked feature and its ranking was not correlated with other features, highlighting its unique importance. Using a smaller set of highly ranked features, rather than all features, can achieve a similar or better dementia classification performance in CFAS (60%–70% accuracy with Naïve Bayes). This study showed that specific neuropathology features can be prioritised by feature filtering methods, but they are impacted by feature–feature correlations and their results can vary between cohort studies. By understanding these biases, we can reduce discrepancies in feature ranking and identify a minimal set of features needed for accurate classification of dementia.
Improving the accuracy of social work judgements: A proof‐of‐concept study of a training programme
Authors: Wilkins David 
Published: February 2024

AbstractChild and family social workers routinely make professional judgements involving significant legal and moral questions (e.g. whether a child has been abused) and more ‘everyday’ issues (e.g. will the child be re‐referred again if we close the case now?) Yet the world is capricious, and we rarely know with certainty what is going to happen in future or the likely impact of our different choices. Given the consequences of their judgements and decisions, it is imperative that social workers are provided with the best possible support. This paper reports a proof‐of‐concept study of a set of interventions to improve the judgemental accuracy of social workers: (i) a survey to identify respondents with above‐average existing abilities, (ii) training sessions on cognitive debiasing and (iii) structured group working and (iv) three methods for aggregating individual judgements. Findings indicate that it is possible to measure the accuracy of social work judgements in relation to case‐study materials and retrospective questions, while the feedback about the training was largely positive. Any future studies should aim to recruit a more diverse set of respondents, test judgemental accuracy in relation to prospective judgements and explore what types of questions would be most helpful for real‐world decision‐making.
The sacred deer conflict of management after a 1000‐year history: Hunting in the name of conservation or loss of their genetic identity
Authors: Takagi Toshihito , Torii Harumi , Kaneko Shingo , Tamate Hidetoshi B. 
Published: February 2024

AbstractHuman–wildlife conflict involves diverse stakeholders with conflicting values. Resolving such conflicts necessitates the development of management plans rooted in scientific knowledge and establishing of social consensus. In Nara City, situated within the Japanese Archipelago, wild sika deer (Cervus nippon) hold sacred significance due to religious reasons and have been protected for over a millennium, resulting in a distinct genetic identity. However, the escalating deer population has caused significant agricultural damage in the areas surrounding the sanctuary. Consequently, a debate has arisen regarding the advantages and disadvantages of implementing lethal measures to address individuals that might be considered sacred deer but are regarded as pests in the vicinity of the sanctuary. Here, we used mitochondrial DNA (mtDNA) control region and nuclear simple sequence repeat (SSR) markers to detect the origin of deer in the areas neighboring the sanctuary (management areas). As a result, two genetic populations of deer were detected in Nara City. In the sanctuary, we detected only one specific mtDNA haplotype (S4). On the other hand, seven haplotypes, including S4, were detected in the management area. SSR analysis also suggested that the sika deer in the management area may be an admixed population of multiple origins from the sanctuary and out of Nara City. Interbreeding populations may expand into the sanctuary, and unique genetic populations for more than 1000 years may disappear. This study suggests that ordinary deer could soon replace the deer revered and protected by the people of Nara. Additionally, the proximity of sanctuary deer to tourists worldwide and the interaction with wild deer in other areas pose a potential risk of spreading zoonotic diseases. Urgent decisions are required to determine whether to advocate for extermination in managed areas for ‘conservation’ purposes or risk losing the genetic identity of the sacred deer.
KILLER ACQUISITIONS AND BEYOND: POLICY EFFECTS ON INNOVATION STRATEGIES
Authors: Letina Igor , Schmutzler Armin , Seibel Regina 
Published: February 2024

AbstractThis article provides a theory of strategic innovation project choice by incumbents and start‐ups which serves as a foundation for the analysis of acquisition policy. We show that, in spite of countervailing incentives on incumbents and entrants, prohibiting acquisitions has a weakly negative overall innovation effect. We provide conditions determining the size of the effect and conditions under which it is zero. We further analyze the effects of less restrictive policies, including merger remedies and the tax treatment of acquisitions and initial public offerings. Such interventions tend to prevent acquisitions only if the entrant has sufficiently high stand‐alone profits.
Predicting flow cytometry crossmatch results from single‐antigen bead testing
Authors: Flynn Patrick A. , Fernando Sebastian , Worthington Judith E. , Poulton Kay V. 
Published: February 2024

AbstractThe aim of this study was to devise an algorithm that would predict flow cytometry crossmatch (FCXM) results using single‐antigen bead (SAB) mean fluorescent intensity (MFI) levels using samples received through the National External Quality Assurance Scheme (NEQAS) 2B external proficiency testing scheme between 2019 and 2023. A total of 159 serum samples were retrospectively screened using LABScreen Single Antigen Class I and II (SAB), and 40 peripheral blood samples were human leucocyte antigen (HLA) typed with LABType SSO. Donor‐specific antibodies were identified for each cell–serum combination tested, and cumulative MFI values were calculated for each test before correlating the screening result with the consensus crossmatch results for this scheme. HLA Class I MFIs were combined to predict the T cell crossmatch. For the B cell crossmatch prediction, two options were considered: (i) HLA Class II MFI values alone and (ii) HLA Class I + Class II MFIs. Receiver operating characteristic analysis was carried out to identify the combined MFI threshold that predicted NEQAS consensus results with the greatest sensitivity and specificity. HLA Class I combined MFI >5000 predicted T cell crossmatch results with 96% sensitivity, 100% specificity, 100% positive predictive value (PPV) and 92% negative predictive value (NPV). For B cell results, HLA Class I + Class II combined MFIs >11,000 gave the best model, showing 97% sensitivity, 82% specificity, 96% PPV and 85% NPV. However, for samples with only HLA Class II sensitization, combined MFIs >13,000 improved the B cell crossmatch predictions: 92% sensitivity, 95% specificity, 96% PPV and 91% NPV. Using this model, combined MFI can be used to predict the immunological risk posed by donor‐specific antibodies when it is not possible to carry out an FCXM.