bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is generative AI (artificial intelligence) the next advent in the evolution of finance and navigating financial crime and regulation?
Authors: Singh Charanjit 
Published: January 2025

Purpose
Generative artificial intelligence (Gen AI) is changing the trajectories of Banking (FinTech) and Law (RegTech/LawTech). The rate at which the technology is innovating is astounding. The ability of AI and Gen AI systems to simulate human intelligence (human thinking) and independently perform tasks and develop intelligence that is premised on its own experiences, process layers of information and continually learn and re-learn increasingly complex representations of data has resulted in improvements in “it” being able to perform complex, technical and time-consuming tasks; identify objects, people, voices and patterns; and screen for “problems” much earlier and provide solutions. This has economic, political and social benefits. The purpose of this study is to explore how Gen AI is changing the face of finance and its impact on the risks, regulatory and operational challenges faced by financial institutions in the UK.

Design/methodology/approach
The subject is explored through the analysis of data and domestic and international published literature. The first part of this study summarises the context of current risks and regulatory and operational issues; the discussion then moves on to explore Gen AI and how it can be embedded as part of the arsenal that financial institutions can use/are using to innovate and provide solutions to the regulatory and operational challenges they face as of August 2024.

Findings
It is suggested that UK financial institutions can further use Gen AI as part of their armoury of solutions to respond to the risk of financial crime and tackle the regulatory burden to achieve high levels of operational efficiency as well as promoting better customer satisfaction.

Originality
The work is original because, to the best of the author’s knowledge, it is the first to specifically explore how Gen AI is assisting UK financial institutions to find solutions to financial crime risk and regulatory challenges, customer satisfaction, cyberattacks and cybercrime.
Strategic capital investments in asset management: a value-based approach
Authors: Barbieri Giacomo , Vega Ana Sofia , Gutierrez Jessica , Laserna Juliana , Mateus Luis Mario 
Published: January 2025

PurposeValue constitutes a key principle of asset management (AM) and decision-making processes should be oriented toward optimizing it. Value models refer to models that can measure the effects of any decision over value, supporting decision-making concerning the assets through their whole lifecycle. In this context, the objective of this work is to develop a methodology for establishing value models to support decision-making in strategic capital investments for multi-category portfolios.Design/methodology/approachAn approach that integrates multi-criteria decision-making, AM principles and participatory processes is proposed.FindingsThe analytic hierarchy process and multi-attribute utility methods are used as analytical tools enabling the assignment of absolute merits to the evaluated alternatives. The application of the AM principles allows one to frame the decision problem within the context of AM. Furthermore, participatory processes enhance transparency and trust in the developed value model and empower employees.Practical implicationsThrough the application of a case study, it has been demonstrated that the approach not only facilitates the ranking of alternatives and a better understanding of their strengths and weaknesses but also establishes a shared concept of objectives (and attributes for their assessment) within the company for the capital investment decision-making.Originality/valueThe AM literature often lacks systematic approaches for identifying value and making value-based decisions. While some approaches have been proposed for guiding strategic capital investments, they typically rely solely on financial and risk criteria. This work aims to bridge this gap by integrating various dimensions of value into the development of a comprehensive value model.
Cyber fraud (CF) in banking: a dual-layer, blockchain-enabled approach for prevention and managerial response
Authors: Chhabra Roy Neha , Prabhakaran Sreeleakha 
Published: January 2025

PurposeThis study addresses the growing cyber risks of banks by proposing an innovative, end-to-end dual-layer blockchain-based cyber fraud (CF) response system that integrates Safeguard (SG) and Block guard (BG) mechanisms. The comprehensive solution offers an actionable framework for bank managers to mitigate CFs by prioritizing fraud detection, leveraging early warning signals (EWS), and implementing tailored, need-based control measures before, during, and after a fraud event.Design/methodology/approachThe study uses a multi-method approach, beginning with an extensive literature review on fraud identification, assessment, and prevention strategies. A theoretical framework is constructed to support the proposed SG and BG measures. Machine learning-based data analysis, using Artificial Neural Networks, is employed to dynamically assess the severity of CFs in real time. A managerial action plan for each phase of the fraud lifecycle is presented.FindingsThe research underscores the necessity for an adaptable, dual-layered response system that transitions from reactive to proactive and predictive mitigation strategies. The study introduces a novel approach incorporating SG and BG mitigation measures, enabling managers to detect early warning signals and implement robust post-fraud interventions.Practical implicationsThe dual-layer approach enhances the sector's resilience to CFs by providing a robust, adaptive framework for fraud prevention and mitigation. This approach helps maintain stability, SG the bank's reputation, and improve overall risk management practices.Originality/valueThis study is unique in its development of an integrated SG and BG response system, combining machine learning, blockchain technology, early warning signals, and a structured before-during-after fraud control model. The research also highlights the critical role of bank managers in implementing and overseeing this innovative response system.
Exploring the mediating role of metacognitions in the link between somatosensory amplification and health anxiety among college students
Authors: Li Yuan-Rung , Bailey Robin , Lee Wan-Lin 
Published: January 2025

Purpose
Health anxiety is a multidimensional trait characterized by a predominant fear of having a serious illness. This study aims to examine the impact of somatosensory amplification on health anxiety and explores the mediating role of metacognitive beliefs.

Design/methodology/approach
Participants (n = 307) were recruited online from university students to complete the measures of health anxiety (C-HAQ), metacognitive beliefs (MCQ-HA) and somatosensory amplification (SSAS).

Findings
The results suggest that somatosensory amplification is a significant predictor of health anxiety. Each of the three dimensions of metacognition partially mediated the effect of somatosensory amplification on health anxiety. In the parallel mediation model, two metacognitive beliefs partially mediated the relationship between somatosensory amplification and health anxiety, while the mediation effect of biased thinking beliefs did not reach significance. In summary, individuals with a higher tendency toward somatosensory amplification exhibit more health anxiety-related metacognitions and subsequently experience higher levels of health anxiety, supporting the Self-Regulatory Executive Function (S-REF) model.

Originality/value
This study validates the importance of metacognition in the maintenance and development of health anxiety, demonstrating the utility of metacognitive therapy for individuals experiencing health anxiety.
Modeling the factors influencing the quality of engineering institutes in India
Authors: Hebbar Sunith , Prabhu H. Mahesh , Laddha Sakshi , Udupa Adithi 
Published: January 2025

Purpose
Intense competition in every sector has put administrators under tremendous pressure to develop strategies for survival, and the educational sector is no exception. This paper aims to explore the dynamics between the factors that affect the quality of engineering institutes by developing an interpretive model.

Design/methodology/approach
The factors that affect the quality of engineering institutes are identified through a thorough review of extant literature, and the dynamics between them are studied using the total interpretive structural modeling (TISM) technique. The developed model has also been statistically validated.

Findings
Results indicate that top management leadership, location and infrastructure drive academics, research and consultancy, industry collaboration and placements, resulting in accreditation from global agencies, thereby improving the institute’s quality.

Research limitations/implications
The TISM framework was developed based on the suggestions of the majority of respondents rather than using a fuzzy one, which requires a much larger data set. Nevertheless, the bias of the majority approach can be removed by multiple conversations with respondents. Secondly, the model development and validation are based on the perceptions of faculty members working at engineering institutes in India. Scholars can extend the work in the future by identifying additional factors and considering administrators’ perceptions.

Originality/value
The study integrates the factors that impact the quality of engineering institutes in a unique way to understand their combined impact. The developed framework will assist policymakers in identifying and dedicating adequate resources to essential factors that drive the other factors, thereby enhancing the institute’s ranking.
Lower ungulate population density in rainforests under anthropogenic influences
Authors: Leite de Oliveira Márcio , Grotta‐Neto Francisco , Rosa da Silva Amanda , Pinho Manoela Ebner , Ribeiro Rullian César , de Almeida Correia Junior Antônio , Jerozolimski Ricardo , de Faria Peres Pedro Henrique , Vogliotti Alexandre , Duarte José Maurício Barbanti , de Camargo Passos Fernando 
Published: January 2025

Abstract

The main threats to forest ungulates are land cover change, poaching, invasive species and other anthropogenic factors. Tropical rainforest deer, especially those in the South American Atlantic Forest, are extremely elusive, resulting in limited data on their density and the factors influencing it. In this study, our objective was to estimate the density of Atlantic Forest deer and to identify its most significant drivers.

We conducted density estimates using faecal standing crop methods with scat detection dogs across the whole Atlantic Forest. In addition, we investigated the influences on density of a locally collected environmental index (AII) incorporating anthropogenic impact variables, landscape metrics (habitat cover, matrix heterogeneity and number of habitat patches), altitude, slope, canopy height and socioeconomic indexes (human development index, purchasing power parity, income inequality and gender development index) as well as protected area ranger density. After a variable selection process to avoid autocorrelation, we tested the relationship between the selected variables and forest deer population density using multiple linear regression models.

Density varied from 0.14 to 18.17 individuals/km2, with P. nemorivagus showing the highest values. The average and median values were 3.42 and 1.47 individuals/km2, respectively. Only the model where density was a function of AII was significant, with satisfactory residuals and the lowest AIC value.

Synthesis and applications. Our results highlight how threats such as poaching, predation by domestic dogs, disease transmission from domestic ungulates and competition, predation or disturbance by wild boar may affect forest deer density and potentially lead to species extinction.
EXPLAINING THE NATURE OF POLICY RESPONSES DURING THE PANDEMIC OUTBREAK: The Role of Geographical Characteristics
Authors: Bourdin Sébastien , Eva Mihail , Iatu Corneliu , Ibănescu Bogdan , Jeanne Ludovic , Nadou Fabien 
Published: January 2025

AbstractThe Covid‐19 pandemic had a varied impact on different regions in Europe, resulting in diverse policy responses from subnational governments. In this article we investigate the policy measures local and regional authorities implemented during the initial wave of the pandemic, with a focus on 28 regions and cities in the European Union (EU). We examine 317 measures in the areas of public health, social security, daily life and work, and economic recovery, using a new analytical framework based on resilience theory to categorize these measures as mitigating, compensating, circumventing or exploiting. Through this research we aim to highlight the connection between the type and frequency of measures and regional characteristics, such as the severity of the pandemic, the quality of human capital and structural factors such as digital skills and governance quality. Our findings reveal a prevalence of coping measures, specifically in terms of support for vulnerable populations, that indicate that policy responses are primarily focused on the short term. However, our study also identifies proactive measures that suggest potential long‐term transformations in regions with higher levels of digital literacy, quality governance and lifelong learning opportunities. This article contributes to understanding the factors that influence regional resilience by suggesting that local and regional capacities significantly shape the nature of policy responses to crises. Additionally, in this article we emphasize the strategic importance of anticipating future crises and underscore the need for strategic intelligence and long‐term thinking in regional governance.
SPATIALIZING WOMEN'S EVERYDAY ACCESS TO ENERGY: AN INTRA‐URBAN COMPARISON OF THE GENDER–ENERGY NEXUS IN LAHORE, PAKISTAN
Authors: Khalid Rihab , Majid Hadia , Saeed Rabia , Faheem Alaiba , Lemanski Charlotte 
Published: January 2025

AbstractThe disparate distribution of energy and housing infrastructures in many megacities of the global South raises issues of equity and spatial justice, particularly for women. An intra‐urban comparison helps unpack the specific socio‐spatial characteristics of the gender–energy nexus, particularly in low‐income neighbourhoods that represent one form of peripheral urbanization. This article contributes to the limited literature on low‐income urban women's lived experiences and everyday energy practices. Using a mixed‐methods approach that combines 424 questionnaire surveys and 21 semi‐structured interviews with low‐income women across five case study sites in Lahore, it investigates women's energy access and use in domestic and open/public spaces, and workplaces. The study reveals significant infrastructural variations and gendered inequities within and across peripheries, and in their relation to urban cores. It demonstrates how women's peripheralized energy access is both spatially defined (e.g. in the heterogeneity of infrastructure available in peripheral neighbourhoods and in relation to their spatial proximity to urban cores) and socially contingent on their intersectional identities. The intra‐urban comparison reveals the complex gendered energy practices and women's subjective experiences of socio‐material exclusion, underscoring the importance of moving beyond simplistic private/public dichotomies and instead adopting an intersectional lens in spatializing the gender–energy nexus when studying urban peripheries.
Spousal Education Difference, In‐Group Collectivism, and Entrepreneurial Subjective Well‐Being: Implications for HRM
Authors: Zhang Ya'nan , Su Yiyi , Zhang Zhenghuang , Cui Tianqi 
Published: January 2025

ABSTRACTIn a competitive, unpredictable, and information‐driven economy, individual social networks exert increasing impact on one's career sustainability. Drawing on the relational view of human capital, we theorize that entrepreneurs benefit from their social networks to accumulate human capital, which promotes their career subjective well‐being (SWB). In this study, we explore how familial relationship (i.e., spousal education difference) and cultural context (i.e., in‐group collectivism) influence entrepreneurs' SWB, a crucial indicator of career sustainability. Using data from the 2015 and 2017 China Household Finance Survey (CHFS), our results reveal that more educated spouses and higher in‐group collectivism are positively related to entrepreneurs' SWB. However, in regions with high in‐group collectivism, the effect of their spouse's education on human capital accumulation for entrepreneurs is weakened. Our study contributes to human resource management by highlighting the relational approach of human capital accumulation beyond the workplace and its importance on career sustainability.
Comparative Population Genetics of Two Alvinocaridid Shrimp Species in Chemosynthetic Ecosystems of the Western Pacific
Authors: Dai Qi , Xu Ting , Li Yixuan , Sun Yanan , Lin Yitao , Yahagi Takuya , Perez Maeva , Qian Pei‐Yuan , Qiu Jian‐Wen 
Published: January 2025

ABSTRACTDeep‐sea shrimps from the family Alvinocarididae are prominent inhabitants of chemosynthesis‐based habitats worldwide. However, their genetic diversity and population connectivity remain poorly understood due to limited sampling. To fill these knowledge gaps, we compared the population genetics of two vent‐ and seep‐dwelling alvinocaridid species with overlapped geographic ranges between the South China Sea and the Manus Basin. Alvinocaris longirostris has a wider distribution, ranging from 35°N to 3°S and at depths of 930 to 1736 m, while Alvinocaris kexueae is more restricted, found between 16°N and 3°S at depths of 1300 to 1910 m. Our analysis, based on the mitochondrial cytochrome c oxidase subunit 1 gene, revealed that A. longirostris had lower genetic diversity and minimal genetic differentiation across eight disjoint vent and seep populations. In contrast, the narrower‐distributed A. kexueae exhibited higher genetic diversity and significant genetic differentiation, with stronger gene flow observed from its Haima seep population to the Manus Basin vent population. In addition, both species appear to have experienced population expansion in their recent evolutionary history. These results suggest that A. longirostris and A. kexueae may possess distinct life‐history traits that contribute to their differing distribution ranges in the Western Pacific.
Engineered Passive Glucose Uptake in Pseudomonas taiwanensis VLB120 Increases Resource Efficiency for Bioproduction
Authors: Schwanemann Tobias , Krink Nicolas , Nikel Pablo I. , Wynands Benedikt , Wierckx Nick 
Published: January 2025

ABSTRACTGlucose is the most abundant monosaccharide and a principal substrate in biotechnological production processes. In Pseudomonas, this sugar is either imported directly into the cytosol or first oxidised to gluconate in the periplasm. While gluconate is taken up via a proton‐driven symporter, the import of glucose is mediated by an ABC‐type transporter, and hence both require energy. In this study, we heterologously expressed the energy‐independent glucose facilitator protein (Glf) from Zymomonas mobilis to replace the native energy‐demanding glucose transport systems, thereby increasing the metabolic energy efficiency. The implementation of passive glucose uptake in engineered production strains significantly increased product titres and yields of the two different aromatic products, cinnamic acid (+10%–15%) and resveratrol (+26%; 18.1 mg/g) in batch cultures.
Targeting CRM1 for Progeria Syndrome Therapy
Authors: Soto‐Ponce Adriana , De Ita Marlon , Castro‐Obregón Susana , Cortez Diego , Landesman Yosef , Magaña Jonathan J. , Gonzalo Susana , Zavaleta Tania , Soberano‐Nieto Angelica , Unzueta Juan , Arrieta‐Cruz Isabel , Nava Porfirio , Candelario‐Martínez Aurora , García‐Aguirre Ian , Cisneros Bulmaro 
Published: January 2025

ABSTRACTHutchinson‐Gilford progeria syndrome (HGPS) is a premature aging disease caused by progerin, a mutant variant of lamin A. Progerin anchors aberrantly to the nuclear envelope disrupting a plethora of cellular processes, which in turn elicits senescence. We previously showed that the chromosomal region maintenance 1 (CRM1)‐driven nuclear export pathway is abnormally enhanced in patient‐derived fibroblasts, due to overexpression of CRM1. Interestingly, pharmacological inhibition of CRM1 using leptomycin B rescues the senescent phenotype of HGPS fibroblasts, delineating CRM1 as a potential therapeutic target against HGPS. As a proof of concept, we analyzed the beneficial effects of pharmacologically modulating CRM1 in dermal fibroblasts from HGPS patients and the LMNAG609G/G609G mouse, using the first‐in‐class selective inhibitor of CRM1 termed selinexor. Remarkably, treatment of HGPS fibroblasts with selinexor mitigated senescence and promoted progerin clearance via autophagy, while at the transcriptional level restored the expression of numerous differentially‐expressed genes and rescued cellular processes linked to aging. In vivo, oral administration of selinexor to the progeric mouse resulted in decreased progerin immunostaining in the liver and aorta, decreased progerin levels in most liver, lung and kidney samples analyzed by immunoblotting, and improved aortic histopathology. Collectively our data indicate that selinexor exerts its geroprotective action by at least two mechanisms: normalizing the nucleocytoplasmic partition of proteins with a downstream effect on the aging‐associated transcriptome and decreasing progerin levels. Further investigation of the overall effect of selinexor on LmnaG609G/G609G mouse physiology, with emphasis in cardiovascular function is warranted, to determine its therapeutic utility for HGPS and aging‐associated disorders characterized by CRM1 overactivity.
Submicroscopic copy number variants in Indian children with gene panel negative 46, XY Gonadal Dysgenesis: An exploratory study using comparative genomic hybridization
Authors: Priyadarshini Sukanya , Shamim Uzma , Kumar Anil , Sharma Rajni , Faruq Mohammed , Jain Vandana 
Published: January 2025

AbstractBackground46, XY disorders of sex development (DSD) are a group of highly heterogeneous conditions in which the molecular etiology remains unknown in a significant proportion of patients, even with massive parallel sequencing. Clinically significant copy number variants (CNVs) are identified in 20−30% of cases, particularly among those with gonadal dysgenesis (GD) and no molecular diagnosis.MethodsFourteen patients with 46, XY DSD due to GD in whom no pathogenic/likely pathogenic variants were found on next‐generation sequencing using a targeted panel of 155 genes were screened for clinically significant CNVs using Affymetrix Comparative Genomic Hybridization (CGH). Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources (DECIPHER) and ClinVar were searched for matching genotypes and phenotypes, and chromosomal regions were screened for genes with known or potential association with GD.ResultsSignificant CNVs were identified in 6 (43%) of 14 patients with 46, XY GD. A previously unreported 19p13.3 duplication was found in three patients. This CNV was associated with GD based on overlapping CNV regions from previous studies and databases; and the inclusion of CIRBP, a candidate gene implicated in GD. CNVs involving WT1 (11p15) and SOX8 (16p13.3) were also identified.ConclusionsCGH was helpful in pointing toward the molecular etiology in a significant proportion of patients with “idiopathic” 46, XY GD. However, establishing causality will require additional evidence including functional studies.