bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the impact of team identification on employee work behavior: the mediating role of knowledge sharing
Authors: Jeong Jeeyoon , Lee Ji Hoon , Karau Steven J. 
Published: February 2025

PurposeThe purpose of this study is to examine how team identification influences employee work behaviors within organizational contexts. Specifically, we investigate the impact of team identification on two distinct behaviors: organizational citizenship behavior toward individuals (OCB-I) and counterproductive work behavior toward Individuals (CWB-I), with knowledge sharing as a mediating mechanism. By examining these relationships, this study provides insights into how team identification shapes both positive and negative employee behaviors and how knowledge sharing functions as a crucial mechanism in this process.Design/methodology/approachA two-wave, time-lagged survey design was employed. Data were collected from 269 full-time employees across various industries in South Korea, with participants providing follow-up responses one week after the initial survey.FindingsThe study’s findings revealed that team identification significantly influences employee work behaviors. A strong sense of team identification was positively associated with organizational citizenship behavior toward individuals (OCB-I). Although not statistically significant, team identification also showed a tendency to negatively impact Counterproductive Work Behavior toward Individuals (CWB-I). Importantly, knowledge sharing mediated both relationships. Specifically, knowledge sharing partially mediated the positive relationship between team identification and OCB-I while mediating the negative relationship between team identification and CWB-I. These results highlight the crucial role of knowledge sharing in translating team identification into observable workplace behaviors.Originality/valueThis study contributes original insights to the organizational behavior field by elucidating the mediating role of knowledge sharing in the relationship between team identification and employee work behaviors. While previous research has examined these elements separately, our study uniquely integrates them, demonstrating how knowledge sharing serves as a pivotal mechanism translating team identification into both positive (OCB-I) and negative (CWB-I) work behaviors. The findings provide a nuanced understanding of team dynamics within organizations and underscore the importance of fostering strong team identities and knowledge-sharing cultures. This research offers valuable implications for both theory and practice in organizational development and management.
Potential for bird–insect phenological mismatch in a tri‐trophic system
Authors: Belitz Michael W. , Larsen Elise A. , Hurlbert Allen H. , Di Cecco Grace J. , Neupane Naresh , Ries Leslie , Tingley Morgan W. , Guralnick Robert P. , Youngflesh Casey 
Published: February 2025

Abstract

Climate change is altering the seasonal timing of biological events across the tree of life. Phenological asynchrony has the potential to hasten population declines and disrupt ecosystem function. However, we lack broad comparisons of the degree of sensitivity to common phenological cues across multiple trophic levels. Overcoming the complexity of integrating data across trophic levels is essential for identifying spatial locations and species for which mismatches are most likely to occur.

Here, we synthesized over 15 years of data across three trophic levels to estimate the timing of four interacting phenological events in eastern North America: the green‐up of forest canopy trees, emergence of adult Lepidoptera and arrival and subsequent breeding of migratory birds.

We next quantified the magnitude of phenological shift per one unit change of springtime temperature accumulation as measured by accumulated growing degree days (GDD). We expected trophic responses to spring temperature accumulation to be related to physiology, thus predicting a weaker response of birds to GDD than that of insects and plants.

We found that insect and plant phenology indeed had similarly strong sensitivity to GDD, while bird phenology had lower sensitivity. We also found that vegetation green‐up and bird arrival were more sensitive to GDD in higher latitudes, but the timing of bird breeding was less sensitive to GDD in higher latitudes. Migratory bird species with slow migration pace, early arrivals and more northerly wintering grounds shifted their arrival the most.

Across Eastern Temperate Forests, the similar responses of vegetation green‐up and Lepidoptera emergence to temperature shifts support the use of remotely sensed green‐up to track how the timing of bird food resources is shifting in response to climate change. Our results indicate that, across our plant–insect–bird system, the bird–insect phenological link has a greater potential for phenological mismatch than the insect–plant link, with a higher risk of decoupling at higher latitudes.
Reactive Hypoglycaemia at Glucose Tolerance Test—Another Presentation of Gestational Diabetes: A Multicentre Retrospective Study
Authors: Rehman Sana , Kazi Salsabeel , Shah Haashim , Wallis Nicola , Mahindra Pradhiki , Al Wattar Bassel H. , Whitten Melissa , Lattey Katherine , Parrington Molly , Turner Rose , Burden Christy , Siassakos Dimitrios 
Published: February 2025

ABSTRACTObjectiveTo assess obstetric outcomes in pregnant women with ‘reactive hypoglycaemia’ (RH) during an oral glucose tolerance test (OGTT), defined as a 2‐h blood glucose level lower than the fasting value.DesignRetrospective observational study.SettingTwo tertiary maternity units in the United Kingdom.PopulationA total of 1498 women with singleton pregnancies attending for an OGTT between April 2019 and July 2020.MethodsMaternal and neonatal outcomes were compared between three groups: gestational diabetes, reactive hypoglycaemia and normal OGTT. Both logistic and linear regression models were used, which adjusted for maternal age at booking, ethnicity, parity and BMI.Main Outcome MeasuresAbdominal circumference > 95th centile, polyhydramnios, gestational age at delivery, preterm birth, birthweight, neonatal hypoglycaemia, admission to neonatal unit, perinatal mortality.ResultsOf the 1498 women, 26.7% (n = 400) had reactive hypoglycaemia, 27.8% (n = 417) GDM and 45.4% (n = 681) normal GTT. The reactive hypoglycaemia group were twice as likely to develop polyhydramnios compared with both the GDM (OR 2.77, 95% CI 1.40–5.50) and control groups (OR 2.47, 95% CI 1.31–4.65). Relative to those with GDM, women with reactive hypoglycaemia had a similar mean birthweight (mean difference 59.4 g, p = 0.06) but were less likely to experience neonatal hypoglycaemia (OR 0.30, 95% CI 0.001–0.15) or preterm birth (OR 0.33, 95% CI 0.18–0.60). No differences were found in maternal hypertensive disorders, abdominal circumference > 95th centile, shoulder dystocia, Apgar < 7, cord pH, admission to neonatal unit or perinatal mortality.ConclusionWomen with reactive hypoglycaemia in this sample were at risk of adverse outcomes frequently associated with diabetes, including polyhydramnios.
First‐Trimester Prediction of Gestational Diabetes Mellitus Based on Maternal Risk Factors
Authors: Syngelaki Argyro , Wright Alan , Gomez Fernandez Cristina , Mitsigiorgi Rea , Nicolaides Kypros H. 
Published: February 2025

ABSTRACTObjectiveTo develop and validate a new first‐trimester model for the prediction of gestational diabetes mellitus (GDM) based on maternal demographic characteristics and elements of medical history.DesignProspective cohort study.SettingInner‐city hospital.Population41 587 women with singleton pregnancies at 11+0–13+6 weeks' gestation, including 4231 (10.2%) who subsequently developed GDM.MethodsLogistic regression model for GDM was developed and fivefold cross‐validation was performed to assess the calibration and predictive performance of the model, assessed by the area under the receiver operating characteristic curve (AUROC) and detection rates (DRs) at different screen positive rates (SPRs).Main Outcome MeasureGDM.ResultsIn both parous women with a previous history of GDM and nulliparous women or parous women with no history of GDM, significant contributors to the prediction of GDM were maternal age, weight, height, ethnicity and family history of diabetes mellitus. In parous women with no previous history of GDM, there was a contribution from the birthweight z‐score of the previous pregnancy. There was good agreement between the predicted risk and observed incidence of GDM (intercept 0.000, 95% CI: −0.034, 0.034; slope 1.000, 95% CI: 0.967, 1.033). The AUROC curve was 0.757 (95% CI: 0.749, 0.765). The performance was higher for GDM treated with insulin versus metformin or diet alone. At SPR of 40%, the DR of the insulin, metformin and diet alone group was 87.2% (95% CI: 84.9, 89.3), 80.0% (77.8, 82.0) and 61.5% (59.2, 63.7), respectively.ConclusionAssessment of risk for GDM can be achieved in the first trimester based on maternal risk factors.
Balancing Effective Treatments With Potential Threats: The Impact of Biologic Agent Use on Tuberculosis Development in Children With Chronic Inflammatory Disorders
Authors: Telefon Ayse Hitay , Cil Merve Kilic , Sonmez Gulsum , Turgut Elif Afat , Gulmez Tugba Kandemir , Taskin Didem Gulcu , Garip Sevinc , Ekinci Rabia Miray Kisla , Celik Umit 
Published: February 2025

ABSTRACTAimWe aimed to investigate the frequency and clinical characteristics of tuberculosis in pediatric patients receiving both anti‐TNF‐alpha and other biological agents.Materials and MethodsThe data of 270 patients who used biological agents due to rheumatologic diseases and inflammatory bowel disease (IBD) and were followed between January 2021 and October 2023 were retrospectively collected from their files.ResultsOf the patients, 138(51.1%) were female, 132(48.9%) were male. The mean age at diagnosis was 107 months (min 8–max 215 months). Patients were most commonly followed for juvenile idiopathic arthritis (JIA) (191 patients, 70.7%), followed by other autoinflammatory diseases (49 patients) and IBD (26 patients, 9.6%). Treatments included adalimumab (97 patients, 35.9%), etanercept (85 patients, 31.5%), canakinumab (33 patients, 12.2%), tocilizumab (31 patients, 11.5%), infliximab (16 patients, 5.9%), anakinra (5 patients, 1.9%), tofacitinib (2 patients, 0.7%), and rituximab (1 patient, 0.4%). During follow‐up, latent tuberculosis infection (LTBI) developed in 5 (1.9%) patients. Three of these patients had JIA (using adalimumab, etanercept and tocilizumab), one had Familial Mediterranean Fever (using canakinumab), and one had IBD (using adalimumab). The mean duration of biological agent treatment until LTBI development was 14.6 months (min 6–max 29 months). Tuberculosis disease was diagnosed in two patients. Both were patients followed up due to IBD. One of the patients was diagnosed with miliary tuberculosis after infliximab treatment, while the other was followed for tuberculosis lymphadenitis after adalimumab treatment. Quadruple anti‐tuberculosis therapy was initiated for the patients.ConclusionThe use of biological agents has revolutionized the course of chronic inflammatory diseases in childhood. However, in these patients, monitoring for tuberculosis risk is crucial.
A Risk Prediction Model for the Development of Rheumatoid Arthritis, Sjögren's Syndrome, Systemic Sclerosis in Patients With Systemic Lupus Erythematosus: Multicenter Approaches
Authors: Li Rui‐Cen , Xu Wang‐Dong , Liu Xiao‐Yan , Fu Lu , Lan You‐Yu , Feng Si‐Yu , Huang An‐Fang 
Published: February 2025

ABSTRACTAimThe aim of this study was to construct a predictive model to evaluate the risk of overlapping syndrome (OS), including the combination of systemic sclerosis, rheumatoid arthritis, and Sjögren's syndrome in patients with systemic lupus erythematosus (SLE) from multicenters.MethodsThis study included SLE patients in the development cohort (n = 4714) and the external validation cohort (n = 2271). SLE patients in the development cohort were randomly divided into the training cohort and the internal validation cohort at a 7:3 ratio. Laboratory variables were collected and compared by univariate logistic regression modeling. Multivariate logistic regression was further used to develop predictive models and plot a risk nomogram for OS. Receiver operating characteristic (ROC) and calibration curve analysis were used to assess model validity and accuracy. Decision curve analysis was used to assess net clinical benefit.ResultsIndexes including anti‐SSA antibody, anti‐SSB antibody, proteinuria, occult blood in urine, age, eosinophil ratio, hematocrit, platelet, direct bilirubin, indirect bilirubin, rheumatoid factor, immunoglobulin A, prothrombin time, and ferritin were included in the predictive model. The nomogram showed a wide range of predictive ability. The area under the curve (AUC) of the ROC curve for the training cohort was 0.874 (0.851–0.896), the AUC for the internal validation cohort was 0.877 (0.843–0.911), and the AUC for the external validation cohort was 0.760 (0.730–0.790).ConclusionThe model has a good predictive performance and will be clinically valuable for the assessment of the risk of OS in SLE.
A Novel DNA Repair‐Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With EGFR‐Mutant Non‐Small Cell Lung Cancer
Authors: Wang Fen , Wei Xue‐Wu , Yang Ming‐Yi , Lu Chang , Yang Xiao‐Rong , Deng Jia‐Yi , Chen Zhi‐Hong , Zhou Qing 
Published: February 2025

ABSTRACTBackgroundThe epidermal growth factor receptor mutant (EGFRm) non‐small cell lung cancer (NSCLC) has a unique “cold” immune profile. DNA damage repair (DDR) genes are closely related to tumorigenesis and the effectiveness of immunotherapy in many tumors. However, the role and mechanism of DDR in the genesis and progression of EGFRm NSCLC remain unclear.MethodsThis study included 101 EGFRm NSCLC samples from The Cancer Genome Atlas (TCGA) dataset and a GSE31210 dataset (external set) from the GEO database. Cluster analysis was used to identify different subtypes of EGFRm NSCLC based on the expression of DDR genes. Univariate and LASSO regression analysis was used to develop a DDR‐based predictive model. The prognostic significance of this model was assessed using Cox regression, Kaplan–Meier, and receiver operating characteristic (ROC) curve analyses. Bioinformatics analysis was performed to investigate the clinicopathological characteristics and immune profiles associated with this model. In vitro experiment was performed to testify the role of DDR genes in EGFRm NSCLC.ResultsWe identified two subtypes of EGFRm NSCLC: DDR‐activated and DDR‐suppressed. The DDR‐activated subtype showed more aggressive clinical behavior and poorer prognosis and was more responsive to immunotherapy. A prognostic model for EGFRm NSCLC was constructed using four DDR genes: CAPS, FAM83A, IGLV8‐61, and SLC7A5. The derived risk score could serve as an independent prognostic indicator. High‐ and low‐risk patients exhibited distinct clinicopathological characteristics, immune profiles, and responses to immunotherapy. The T‐cell inflammation and Tumor Immune Dysfunction and Exclusion (TIDE) scores differed between the high‐ and low‐risk subgroups, with both showing enhanced effectiveness of immunotherapy in the low‐risk subgroup. Targeted therapy such as BI.2536, an inhibitor of polo‐like kinase 1, could be effective for patients with high‐risk EGFRm NSCLC. Meanwhile, in vitro detection approved the role of DDR genes in EGFRm NSCLC response.ConclusionThis study demonstrated a diversity of DDR genes in EGFRm NSCLC and developed a predictive model using these genes. This model could assist in identifying potential candidates for immunotherapy and in assessing personalized treatment and prognosis of patients with EGFRm NSCLC.
Island Kelp Limited: An Instructional Case*
Authors: Bauman Kai , Brooks Tasha , Burnley Chris , Hudson Leah 
Published: February 2025

ABSTRACTThis case can be used in a graduate assurance or financial reporting class or an undergraduate capstone course. It incorporates more traditional financial reporting and auditing issues with current topics, including Indigenous perspectives, sustainability considerations, and data visualization. The student, in the role of an auditor of a small but growing organization with progressive goals, is asked by the partner to analyze the audit and financial reporting issues. The client is also considering entering a new agreement with a local First Nation and has asked for the firm's advice on the strategic fit.
Evidence on the decision usefulness of fair values in business combinations
Authors: Blann James J. , Campbell John L. , Shipman Jonathan E. , Wiebe Zac 
Published: February 2025

AbstractStatement of Financial Accounting Standards (SFAS) 141 (Accounting Standards Codification [ASC] 805) requires that firms record identifiable assets and liabilities acquired in business combinations at fair value. While the FASB argued that these fair values should provide users with incremental decision‐useful information, opponents have continuously argued that they are too difficult to reliably estimate and could be subject to managerial discretion. Using hand‐collected data from US mergers and acquisitions, we find that, on average, fair value adjustments predict future cash flows incrementally beyond pre‐deal book values and cash flows, goodwill, and other firm and deal characteristics. We also find that the relation between fair value adjustments and future cash flows varies predictably based on several factors that affect managers' ability and incentives to provide accurate estimates. Furthermore, despite prevailing concerns about their usefulness, we find that fair values for intangible assets predict future cash flows, on average. However, we find that this relation is driven primarily by the fair values of customer‐ and contract‐related intangible assets and that the fair values of other types of identifiable intangibles do not necessarily convey incremental decision‐useful information. Finally, we find that users appear to rely on the information conveyed by these disclosures, as evidenced by revisions to analysts' forecasts and changes in stock prices. Overall, our findings provide insight regarding the usefulness of current standards and users' reliance on fair values in business combinations.
Wildfire Impact on Coastal Groundwater‐Dependent Heathland: Structural and Floristic Responses and Management
Authors: Stanton David , Dyring Madeleine , Proud Roland , Williams Paul 
Published: February 2025

ABSTRACTFire is a critical driver of many Australian ecosystems, including the groundwater‐dependent heathlands on Australia's east coast. However, the effects of intense wildfires under drought conditions, associated with depletion of groundwater and soil moisture, are poorly documented, and mechanisms of vegetation recovery, particularly for obligate seeders and resprouters, are unclear. We aimed to assess the impacts of an intense wildfire on vegetation structure and species composition in a long‐unburnt groundwater‐dependent heathland, focusing on the responses of obligate seeder and resprouter species and the role of environmental factors in post‐fire recovery. A before–after control–impact study was conducted at Bribie Island, Queensland, following a 2019 wildfire. Vegetation responses were analysed using a generalised linear model, with environmental factors such as rainfall, soil moisture and groundwater levels evaluated for their influence on recovery. Our results demonstrated that shrub counts recovered and exceeded pre‐fire levels within 3 years. Species richness returned to pre‐fire levels after 2 years but did not reach the peak observed during high‐moisture conditions 3 years before the fire. The post‐fire response included a slow species richness rebound and incomplete recovery. Obligate seeders showed a variable response, with some dominant populations failing to recover, while resprouters exhibited significant declines. These outcomes are linked to the varying capacity of heathland flora to cope with intense fire during low soil moisture and groundwater deficits. The results of this study suggest that intense wildfires during dry conditions may adversely affect some obligate seeder and resprouter populations, even after long fire intervals. Full consideration of fire intensity, timing and environmental conditions such as soil moisture and groundwater levels are essential for effective vegetation management. Furthermore, prescriptive fire management should focus on burning during periods of high soil moisture to reduce fire severity and enhance post‐fire regeneration.
Association between home care and health phenotype of centenarians: Is it a necessary new criterion in home health care?
Authors: Lozada‐Martinez Ivan David , Correa‐Diaz Paula Andrea , Correa‐Rosales Jorge Luis , Anaya Juan‐Manuel 
Published: February 2025

AbstractObjectiveThe aim of this study was to evaluate the association between home care and the health phenotype of Colombian centenarians.MethodsCross‐sectional study derived from the Colombian Centenarian Cohort Study (COOLCEN Cohort). Through random sampling, centenarians and their families were identified and interviewed in person to assess specific health characteristics and home care.ResultsFifty centenarians were included in the study, with an average age of 100.9 years. Of these, 74% were women and 96% were beneficiaries of a subsidised health‐care system. Eighty‐six percent had at least one chronic disease, with arterial hypertension being the most prevalent (86%), 60% were classified as frail older adult, 60% exhibited signs of sarcopenia, 42% experienced at least one fall in the past year, 26% had good nutritional status, and 28% had polypharmacy. Centenarians who did not receive home care were more likely to be free of co‐morbidities (29% vs. 8%), had a lower frequency of frailty (50% vs. 75%), sarcopenia (50% vs. 64%), malnutrition (14% vs. 39%), exhibited greater independence (43% vs. 11%) and better functional performance (29% vs. 11%). Receiving home care, whether monthly or comprehensive, was not associated with any health outcomes.ConclusionsUnder the current home care model, there was no association between home care for centenarians and health outcomes. No centenarian without co‐morbidities received preventive home care. However, this population faces socio‐economic challenges and health needs that could benefit from health education and the implementation of primary care interventions, regardless of the presence of comorbidities.