bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fintech and large banks for SME financing: Evidence from China
Authors: Ming Lei , Wu Yifan , Yang Shenggang , Yang Xiaolin 
Published: January 2025

AbstractIn this paper, we adopt a mixed‐methods approach that combines case studies and fuzzy‐set qualitative comparative analysis (fsQCA) to analyse the collaborative efforts of financial technology (fintech) and large banks in mitigating small and medium‐sized enterprise (SME) financing problems. The findings demonstrate that fintech has challenged the traditional lending structure of “large bank–large firms, small bank–small firms” by reducing information asymmetry between banks and enterprises and enhancing technological capabilities. The inherent advantages of large banks, including economies of scale, risk diversification, and talent attraction, can accelerate fintech's role in promoting inclusive finance for SMEs. Overall, our results underscore the importance of fintech applications and the active involvement of large banks in addressing SME financing challenges.
Community social capital and financial reporting quality in nonprofits
Authors: Subedi Meena , Li‐Kuehne Michelle , Mwaungulu Emmanuel 
Published: January 2025

AbstractBased on the social norms and structural theories of social capital, our study provides evidence that the social capital of a nonprofit organisation's headquarters area has a positive and statistically significant impact on its financial reporting quality. This evidence is consistent with the social capital theory view of community social capital, which argues that social capital encourages morally acceptable behaviour, provides reputational capital, and has implications for organisations. Additionally, our study finds that community social capital is positively associated with the strength of nonprofits' governance and negatively associated with managerial opportunistic behaviour, which in turn mediates the main relationship.
Targeting VMPFC‐amygdala circuit with TMS in substance use disorder: A mechanistic framework
Authors: Soleimani Ghazaleh , Conelea Christine A. , Kuplicki Rayus , Opitz Alexander , Lim Kelvin O. , Paulus Martin P. , Ekhtiari Hamed 
Published: January 2025

AbstractThe ventromedial prefrontal cortex (VMPFC), located along the medial aspect of the frontal area, plays a critical role in regulating arousal/emotions. Its intricate connections with subcortical structures, including the striatum and amygdala, highlight the VMPFC's importance in the neurocircuitry of addiction. Due to these features, the VMPFC is considered a promising target for transcranial magnetic stimulation (TMS) in substance use disorders (SUD). By the end of 2023, all 21 studies targeting VMPFC for SUD used anatomical landmarks (e.g., Fp1/Fp2 in the EEG system) to define coil location with a fixed orientation. Nevertheless, one‐size‐fits‐all TMS over VMPFC has yielded variable outcomes. Here, we suggested a pipeline based on a tailored TMS targeting framework aimed at optimally modulating the VMPFC‐amygdala circuit on an individual basis. We collected MRI data from 60 participants with methamphetamine use disorders (MUDs). We examined the variability in TMS target location based on task‐based functional connectivity between VMPFC and amygdala using psychophysiological interaction (PPI) analysis. Electric fields (EF) were calculated for fixed vs. optimized location (Fp1/Fp2 vs. individualized maximal PPI), orientation (AF7/AF8 vs. optimized algorithm) and intensity (constant vs. adjusted) to maximize target engagement. In our pipeline, the left medial amygdala, identified as the brain region with the highest (0.31 ± 0.29) fMRI drug cue reactivity, was selected as the subcortical seed region. The voxel with the most positive amygdala‐VMPFC PPI connectivity in each participant was considered the individualized TMS target (MNI‐coordinates: [12.6, 64.23, −0.8] ± [13.64, 3.50, 11.01]). This individualized VMPFC‐amygdala connectivity significantly correlated with VAS craving after cue exposure (R = 0.27, p = 0.03). Coil orientation was optimized to increase EF strength over the targeted circuit (0.99 ± 0.21 V/m vs. the fixed approach: Fp1: 0.56 ± 0.22 and Fp2: 0.78 ± 0.25 V/m) and TMS intensity was harmonized across the population. This study highlights the potential of an individualized VMPFC targeting framework to enhance treatment outcomes for addiction, specifically modulating the personalized VMPFC‐amygdala circuit.
Means and ends sustainability nudges, information effects, and consumer restaurant patronage
Authors: Xu Alan , Hu Wuyang , Jiang Qi 
Published: January 2025

AbstractRestaurants can nudge their customers toward more sustainable actions. However, implementing nudges may affect consumer patronage. Using a discrete choice experiment, we propose a means‐ends framework to shed light on the conditional (on patronage) impact of sustainability nudges on consumer preference for restaurants. The findings reveal that while preserving the subtleness of a specific sustainability nudge, disclosing the means or the mechanism of the nudges leads to a negative impact on consumer restaurant patronage, while revealing the ends or the goodwill behind the sustainability nudges may suggest positive effects on patronage which may in turn lead to an unconditional gain in sustainability. Furthermore, some nudges may only improve patronage if both the means and the ends of nudges are revealed. By examining two types of restaurants, we show that the type of restaurant also significantly influences the effects of sustainability nudges on patronage. This research quantifies the nuanced dynamics of how revealing the means and the ends of nudges may affect the restaurant business and provides insights for designing effective sustainability strategies in the restaurant industry.
Student‐Led Falls Prevention Program for Community‐Dwelling Older Adults in a Rural Community: A Pilot Study
Authors: Mudholkar Asmita , Burke Stephanie , Obamiro Kehinde 
Published: January 2025

ABSTRACTIntroductionA third of community‐dwelling adults over the age of 65 years fall each year, making falls a significant concern for the elderly. Older people living in community‐dwellings account for 73% of fall‐related hospitalisations in older populations. Little is known about identifying, reaching at‐risk people, and delivering these interventions in rural communities.ObjectiveOur aim was two‐fold.

To test the utility of a student‐led program in identifying community‐dwelling elderly people at high risk for falls in a rural and remote setting.
To determine client satisfaction with the falls prevention program.
SettingRural and remote community settings in Queensland, Australia.ParticipantsForty community‐dwelling older adults from the MMM 4 and 6 regions.DesignThis pilot study utilised a cross‐sectional design and convenience sampling approach. A validated falls risk self‐reported checklist and a screening checklist for general practitioners were used to identify older adults at risk of falling. During the home visit, participants were assessed for their cognition, balance and home safety. A client satisfaction survey was completed via telephone 3 months following the home visits.ResultsSeveral risk factors for falls were identified, including unsafe use of equipment, absence of Medi alerts, insufficient supervision, lack of support, inappropriate footwear, behavioural concerns and environmental hazards. Most participants reported that the home assessment was valuable and made their homes safer.ConclusionAn innovative student‐led placement model has the potential to provide much‐needed access to falls prevention services and minimise falls among community‐dwelling older adults in rural and remote locations.
Emergency and postoperative access to critical and enhanced care: a multicentre prospective observational study*
Authors: Georgiou Andy , Cain David , Bruce Martin Schuster , Axelsen Denise , Woodward Tom , Baumer Tom , Preston Katie , Ward James , Ingham Jack , Roberts Alun ,   the PEACH‐SW collaborators
Published: January 2025

SummaryIntroductionThe ability to admit patients to enhanced or critical care may be limited by bed availability. In a network with low provision of critical and enhanced care beds, we aimed to assess the proportion of patients having surgery with moderate (1%–< 5%) or high (≥ 5%) predicted risk of 30‐day postoperative mortality and their postoperative care location. We also aimed to study referral and admission outcomes to critical care.MethodsThis prospective, 7‐day observational study was conducted across 19 acute hospital sites within the South West Critical Care Network. All adult inpatients having a procedure under the care of an anaesthetist (excluding cardiac and obstetric procedures) had a surgical outcome risk tool score calculated retrospectively, and their postoperative destination captured. Synchronously, all critical care referrals, admissions and refusal decisions were captured, along with critical care bed capacity.ResultsOf 2222 eligible patients, 1728 (78%) were captured. Retrospective surgical outcome risk tool score calculation revealed 1060 (61%) patients had a low, 418 (24%) a moderate and 250 (15%) a high risk of postoperative mortality. In patients with a moderate predicted risk of postoperative morbidity, 72/418 (17%) received enhanced or critical care and 64/249 (26%) patients with a high predicted risk received critical care. All critical care referral and admission activity was captured; in total, 263/680 (39%) of patients referred were admitted to critical care. Referrals to critical care exceeded the available level 3‐equivalent beds on 79% of occasions.DiscussionThese data describe constraints in access to postoperative and emergency enhanced/critical care in the south‐west of England. There is poor compliance with national guidance regarding the postoperative care location of patients with a moderate or high risk of postoperative mortality.
Mortality prediction after major surgery in a mixed population through machine learning: a multi‐objective symbolic regression approach
Authors: Arina Pietro , Ferrari Davide , Tetlow Nicholas , Dewar Amy , Stephens Robert , Martin Daniel , Moonesinghe Ramani , Curcin Vasa , Singer Mervyn , Whittle John , Mazomenos Evangelos B. 
Published: January 2025

SummaryIntroductionUnderstanding 1‐year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri‐operative care. Few models exist that predict 1‐year mortality accurately. This study aimed to develop a predictive model for 1‐year mortality in patients undergoing complex non‐cardiac surgery using a novel machine‐learning technique called multi‐objective symbolic regression.MethodsA single‐institution database of patients undergoing major elective surgery with previous cardiopulmonary exercise testing was divided into three datasets: pre‐operative clinical data; cardiorespiratory and physiological data; and combined. A multi‐objective symbolic regression model was developed and compared against existing models. Model performance was evaluated using the F1 score. Shapley additive explanations analysis was used to identify the major contributors to model performance.ResultsFrom 2145 patients in the database, 1190 were included, with 952 in the training dataset and 238 in the test dataset. Median (IQR [range]) age was 71 (61–79 [45–89]) years and 825 (69%) were male. The multi‐objective symbolic regression model demonstrated robust consistency with an F1 score of 0.712. Shapley additive explanations analysis indicated that ventilatory equivalents for carbon dioxide, oxygen at peak exercise and BMI influenced model performance most significantly, surpassing surgery type and named comorbidities.DiscussionThis study confirms the feasibility of developing a multi‐objective symbolic regression‐based model for predicting 1‐year postoperative mortality in a mixed non‐cardiac surgical population. The model's strong performance underscores the critical role of physiological data, particularly cardiorespiratory fitness, in surgical risk assessment and emphasises the importance of pre‐operative optimisation to identify and manage high‐risk patients. The multi‐objective symbolic regression model demonstrated high sensitivity and a good F1 score, highlighting its potential as an effective tool for peri‐operative risk prediction.
Introduction to androgenetics: terminology, approaches, and impactful studies across 60 years
Authors: Akbari Arvand , Kasak Laura , Laan Maris 
Published: January 2025

AbstractAcross six decades, androgenetics has consistently concentrated on discovering genetic causes and enhancing the molecular diagnostics of male infertility, disorders of sex development, and their broader implications on health, such as cancer and other comorbidities. Despite vast clinical knowledge, the training of andrologists often lacks fundamental basics in medical genetics. This work, as part of the Special Issue of Andrology “Genetics in Andrology”, provides the core terminology in medical genetics and technological advancements in genomics, required to understand the ever‐progressing research in the field. It also gives an overview of study designs and approaches that have frequently led to discoveries in androgenetics. The rapid progress in the methodological toolbox in human genetics is illustrated by numerous examples of impactful androgenetic studies over 60 years, and their clinical implications.
Fetal growth restriction adversely impacts trajectory of hippocampal neurodevelopment and function
Authors: Dudink Ingrid , Sutherland Amy E. , Castillo‐Melendez Margie , Ahmadzadeh Elham , White Tegan A. , Malhotra Atul , Coleman Harold A. , Parkington Helena C. , Dean Justin M. , Pham Yen , Yawno Tamara , Sepehrizadeh Tara , Jenkin Graham , Camm Emily J. , Allison Beth J. , Miller Suzanne L. 
Published: January 2025

AbstractThe last pregnancy trimester is critical for fetal brain development but is a vulnerable period if the pregnancy is compromised by fetal growth restriction (FGR). The impact of FGR on the maturational development of neuronal morphology is not known, however, studies in fetal sheep allow longitudinal analysis in a long gestation species. Here we compared hippocampal neuron dendritogenesis in FGR and control fetal sheep at three timepoints equivalent to the third trimester of pregnancy, complemented by magnetic resonance image for brain volume, and electrophysiology for synaptic function. We hypothesized that the trajectory of hippocampal neuronal dendrite outgrowth would be decreased in the growth‐restricted fetus, with implications for hippocampal volume, connectivity, and function. In control animals, total dendrite length increased with advancing gestation, but not in FGR, resulting in a significantly reduced trajectory of dendrite outgrowth in FGR fetuses for total length, branching, and complexity. Ex vivo electrophysiology analysis shows that paired‐pulse facilitation was reduced in FGR compared to controls for cornu ammonis 1 hippocampal outputs, reflecting synaptic dysfunction. Hippocampal brain‐derived neurotrophic factor density decreased over late gestation in FGR fetuses but not in controls. This study reveals that FGR is associated with a significant deviation in the trajectory of dendrite outgrowth of hippocampal neurons. Where dendrite length significantly increased over the third trimester of pregnancy in control brains, there was no corresponding increase over time in FGR brains, and the trajectory of dendrite outgrowth in FGR offspring was significantly reduced compared to controls. Reduced hippocampal dendritogenesis in FGR offspring has severe implications for the development of hippocampal connectivity and long‐term function.
Buried Pockmarks Associated With Listric Faults of Salt Minibasins (Espírito Santo, SE Brazil): Evidence for Local Hydrocarbon Escape Since the Miocene
Authors: Zhang Qiang , Alves Tiago M. , Martins‐Ferreira Marco Antonio Caçador 
Published: January 2025

ABSTRACTBuried pockmarks are features associated with fluid seepage through ancient seafloors. In this work, high‐quality 3D seismic reflection and well data are used to investigate the geometry, distribution and significance of listric faults and associated pockmarks in a salt minibasin from offshore Espírito Santo, SE Brazil. The results show that six out of ten pockmarks interpreted in the study area have crescent, elliptical, or elongated shapes. They occur along the trace of listric faults and on their immediate hanging‐wall blocks, with pockmarks' long axes being nearly parallel to the strike of the faults. The pockmarks are approximately 1300–6200 m long, 600–4000 m wide, 30–139 m deep, and buried 50 to 500 m below the modern seafloor. They can be divided into fault‐strike (type I) and fault hanging‐wall (type II) pockmarks based on their spatial relationships. Type I represents pockmarks developed along the trace of listric faults, which acted as fluid conduits. Type II pockmarks were developed away from fault traces on their hanging‐wall blocks. Their occurrence near listric faults was controlled by multiple factors, including the relative depth, length, area, and maximum displacement of listric faults. In addition, listric faults below horizon H4—an Upper Paleogene unconformity—do not show pockmarks around them. Listric faults with greater length, area, and maximum displacements were more likely to form pockmarks. In conclusion, the studied pockmarks are evidence for local hydrocarbon escape occurring in the Espírito Santo Basin since the Miocene. The results presented here can be applied to other regions around the world prone to geohazards and where carbon and hydrogen storage solutions are being proposed.
Siblings of Individuals With Neurodevelopmental Conditions: Perspectives on Risk, Resiliency and Future Research Directions
Authors: Wolff Brittany , Pestell Carmela F. , Glasson Emma J. 
Published: January 2025

ABSTRACTSiblings of individuals with neurodevelopmental conditions (NDCs) are at increased genetic and environmental risk for poorer psychosocial and neurocognitive outcomes compared to control groups of siblings of individuals without NDCs. This narrative review presents findings to date on NDC sibling wellbeing, focusing on the psychosocial and objective cognitive functioning of siblings of persons with a range of NDCs. The transdiagnostic individual‐level risk and resilience factors impacting siblings, and their associations with mental health, can be modelled and interpreted holistically within a novel neurobiopsychosocial framework of sibling wellbeing. Enriched by community consultation, the Sibling Project was the first exploration of a range of self‐reported factors influencing mental health cross‐sectionally and over time, adopting a dynamic bioecological approach to identify salient targets for intervention and identify pathways for future research.
Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
Authors: Zhang Yanyu , Liu Xiaoyi , Luo Deyun , Chen Bingli , Lai Chenyi , He Chenyu , Yan Luo , Ding Haifeng , Li Shiyang 
Published: January 2025

ABSTRACTHyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. We extracted data from the China Health and Retirement Longitudinal Study (CHARLS) database from 2011 to 2016. Multivariable logistic regression, restricted cubic splines (RCSs) analysis, and linear correlation analysis were conducted to evaluate the association between LHR and risk of developing HUA. Subgroup analyses and interaction tests were also performed. A higher LHR was associated with an increased incidence of HUA (7.8% vs. 9.9% vs. 13.9, p < 0.001). The LHR was also higher in the HUA group compared to the non‐HUA group (2.64 ± 1.07 vs. 2.40 ± 0.91, p < 0.001). When assessed as a continuous variable, LHR was independently associated with the risk of HUA (OR = 1.27, 95% CI = 1.16–1.39, p < 0.001). The risk of developing HUA was significantly higher among individuals with the highest LHR subgroup than those with the lowest LHR subgroup (OR = 1.81, 95% CI = 1.47–2.23, p < 0.001). RCS analysis revealed a significant nonlinear association between an increased LHR and a higher risk of developing HUA. The predictive abilities of LHR for HUA were 0.577. The composite variable comprising LHR and other traditional risk factors could significantly enhance the ability to predict HUA (C statistic = 0.677). In conclusion, a higher LHR was associated with an increased risk of developing HUA. Further studies on LHR could be beneficial for preventing and treating HUA.
Evaluation der Hautkrebsfrüherkennung in Deutschland – eine Mikrosimulation
Authors: Baltus Hannah , Hübner Joachim , Garbe Claudia , Hagenström Kristina , Rohr Maren , Hischke Sandra , Augustin Jobst , Augustin Matthias , Katalinic Alexander , Eisemann Nora 
Published: January 2025

ZusammenfassungHintergrundIn Deutschland wurde 2008 ein flächendeckendes Hautkrebsscreening eingeführt. Welche nachfolgend beobachteten Veränderungen in der Epidemiologie des malignen Melanoms (MM), Plattenepithelkarzinoms (SCC) und Basalzellkarzinoms (BCC) auf das Screening zurückzuführen sind, ist unklar. Mit Simulationsmodellen werden verschiedene Screening‐Szenarien miteinander sowie mit beobachteten Inzidenz‐ und Mortalitätsverläufen verglichen.MethodikEs wurde ein Mikrosimulationsmodell für MM, SCC und BCC programmiert und geschlechtsgetrennt an hautkrebsspezifischen Mortalitätsdaten validiert. Neben dem aktuell praktizierten Screening (zweijährliches Angebot, jährliche Teilnahmewahrscheinlichkeit 15%) wurden ein dreijährliches Screening, ein Screening mit erhöhter Teilnahme, zum Beispiel durch Einladungswesen, und kein Screening simuliert. Es wurden Zeitverläufe für Inzidenz, Mortalität, Kosten und gewonnene Lebensjahre für 30 Jahre ab Screeningbeginn erzeugt.ErgebnisseIm Vergleich zu keinem Screening wird die Mortalität in der Simulation mit aktuellen Konditionen um 13,8% reduziert. Dieser Effekt ergibt sich in den ersten Jahren nach Screeningbeginn und erreicht nach einigen Jahren ein stabiles Niveau. Wird mehr und häufiger gescreent, steigen in der Simulation Inzidenz, gewonnene Lebensjahre und Kosten, während die Mortalität weiter sinkt. Ein Vergleich von simulierten und beobachteten Effekten zeigt nur wenig Übereinstimmung.SchlussfolgerungenDas Modell eignet sich zum Vergleich von Screening‐Szenarien, um mögliche Optimierungsmöglichkeiten im Hautkrebsscreening zu identifizieren. Es sollten zusätzliche, insbesondere risikoadaptierte, Screening‐Szenarien untersucht werden.