bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptional impacts of substance use disorder and HIV on human ventral midbrain neurons and microglia
Authors: Wilson Alyssa M. , Jacobs Michelle M. , Lambert Tova Y. , Valada Aditi , Meloni Gregory , Gilmore Evan , Murray Jacinta , Morgello Susan , Akbarian Schahram 
Published: February 2025

AbstractFor people with HIV (PWH), substance use disorders (SUDs) are a prominent neurological risk factor, and the impacts of both on dopaminergic pathways are a potential point of deleterious convergence. Here, we profile, at single nucleus resolution, the substantia nigra (SN) transcriptomes of 90 postmortem donors in the context of chronic HIV and opioid/cocaine SUD, including 67 prospectively characterized PWH. We report altered microglial expression for hundreds of pro- and anti-inflammatory regulators attributable to HIV, and separately, to SUD. Stepwise, progressive microglial dysregulation, coupled to altered SN dopaminergic and GABAergic signaling, was associated with SUD/HIV dual diagnosis and further with lack of viral suppression in blood. In virologically suppressed donors, SUD comorbidity was associated with microglial transcriptional changes permissive for HIV infection. We report HIV-related downregulation of monoamine reuptake transporters specifically in dopaminergic neurons regardless of SUD status or viral load, and additional transcriptional signatures consistent with selective vulnerability of SN dopamine neurons.
From discovery to translation: Endogenous substrates of OAT1 and OAT3 as clinical biomarkers for renal secretory function
Authors: Thakur Aarzoo , Singh Dilip K. , Hart Katherine D. , Kis Emese , Gáborik Zsuzsanna , Denton Travis T. , Clarke John D. , Paine Mary F. , Prasad Bhagwat 
Published: February 2025

ABSTRACTThe recent ICH M12 guidance on Drug Interaction Studies encourages the use of alternate approaches for predicting drug-drug interaction (DDI) potential of new chemical entities. One approach involves biomarkers, which are endogenous substrates of drug metabolizing enzymes and transporters (DMET) and can be used to assess the inhibitory potential of new chemical entities during Phase 1 clinical studies. Thus, biomarkers could potentially eliminate the need for dedicated DDI studies with exogenous probe substrates. Metabolomics, in conjunction within vitroand/orin vivopreclinical models or clinical studies, can be used for biomarker discovery. We developed and applied a novel metabolomics-based DMET biomarker discovery (MDBD) approach to identify and qualify biomarkers of renal organic anion transporter 1 (OAT1) and OAT3. Untargeted metabolomics of pooled plasma and urine samples from a pharmacokinetic DDI study using the OAT1/3 inhibitor, probenecid, yielded 153 features identified as putative OAT1/3 biomarkers. Subsequently,in vitrotransporter uptake assays using processed urine samples confirmed 57 of these features as OAT1 and/or OAT3 substrates. Finally, 23 features were clinically validated as OAT1/3 biomarkers through a detailed pharmacokinetic analysis (0-24 h) of plasma and urine samples. These biomarkers, either alone or as part of a panel, can predict OAT1/3-mediated DDIs and interindividual variability in the renal secretory clearance of organic anions across different populations, thereby enabling translational utility in clinical settings. The novel MDBD approach can be extended to discover biomarkers of other transporters and enzymes.SUMMARYUsing clinical and mechanisticin vitroapproaches, 23 endogenous substrates of OAT1/3 were identified as potential clinical biomarkers of renal secretary elimination of organic anions.
Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe
Authors: Aalto Atte , Proverbio Daniele , Giordano Giulia , Skupin Alexander , Gonçalves Jorge 
Published: February 2025

AbstractBackgroundMetapopulation models, which consider epidemic spread across interconnected regions, can provide more accurate epidemic predictions with respect to country-specific models. Still, their added complexity and data requirements raise questions about their tangible benefits over simpler, localized models.AimOur goal is to develop and validate networked metapopulation SIRS models, integrated with an Extended Kalman Filter (EKF), for predicting influenza-like illness (ILI) across Europe, which enables accurate forecasts, missing data imputation, and actionable insights.MethodsWe constructed two different metapopulation SIRS models: a detailed network-based model, including inter-country travel dynamics, and a simpler mean-field model, aggregating average regional data. Both were calibrated based on decade-long data of European mobility and ILI incidence, using EKF to estimate disease dynamics and forecast epidemic progression. The forecasting performance was benchmarked against isolated country-specific models.ResultsNetwork models outperformed isolated models in forecasting ILI progression, particularly during critical periods such as wave onsets and peaks, and maintained reliability during COVID-19-affected seasons. The full network model provided up to 25% improvement in peak predictions and demonstrated robustness in imputing missing data, even when up to 40% of the input data was unavailable. The models are fully interpretable and align with epidemiological dynamics across borders.ConclusionOur findings unveil the advantages of metapopulation models for epidemic forecasting in interconnected regions. Our framework, combining network models with EKF, offers improved accuracy, resilience to missing data, and enhanced interpretability. Our methodology provides a versatile tool for global public health applications, adaptable to other diseases and geographic scales.
Unprecedented Number of Recurrent Mutations Drive the Rapid Evolution of Pesticide Resistance in a Notorious Pest
Authors: Cao Li-Jun , Chen Jin-Cui , Thia Joshua A. , Schmidt Thomas L. , Ffrench-Constant Richard , Zhang Lin-Xi , Yang Yu , Yuan Meng-Chu , Zhang Jia-Yue , Zhang Xiao-Yang , Yang Qiong , Gong Ya-Jun , Li Hu , Chen Xue-Xin , Hoffmann Ary A. , Wei Shu-Jun 
Published: February 2025

AbstractThe genetic basis of pesticide resistance has been widely studied, but the exact nature of this evolutionary process in the field is often unclear, particularly when a limited number of populations is considered and when there is a lag between the evolutionary event and its investigation. We showed that an unprecedented number of recurrently evolved mutations drive the rapid evolution of the notorious pest, the two-spotted spider mite, to a recently commercialized acaricide, cyetpyrafen. We first observed high levels of resistance that appeared and became widespread within a few years. Genome scans revealed genetic heterogeneity of resistance among populations and identified 15 target mutations on eight amino acid residues of the pesticide target, with as many as five substitutions on one residue. No mutations were present in screened historical specimens, suggesting that mutations arose rapidly throughde novosubstitutions or from very rare segregating mutations. Identical mutations could recurrently appear in different genetic backgrounds, increasing the likelihood of resistance evolution. Additionally, we showed that single mutations conferred high levels of resistance, acting as large-effect alleles. This study demonstrates the high number of mutational options available for the evolution of target site resistance in this pest that challenges resistance management practices.
Chromosome segregation inEscherichia coliinvolves DNA binding by the MinC-MinD complex
Authors: Palanisamy Navaneethan , Klauss Linda , Lefebvre Maïween , Liang Jungsheng , Hofhaus Götz , Zeelen Johan , Urban Maximilian , Öztürk Mehmet Ali , Merker Sabine , Luzarowski Marcin , Ruppert Thomas , Di Ventura Barbara 
Published: February 2025

AbstractTheEscherichia coliMin system, composed of the proteins MinC, MinD, and MinE, is crucial for directing septum formation at mid-cell. MinD has also been implicated in chromosome segregation due to its non-sequence-specific DNA binding ability. Here, we demonstrate that the MinCD complex, rather than MinD alone, is the primary driver of Min-mediated chromosome segregation and that MinE regulates the transient nature of this interaction. We further reveal a critical function for the linker connecting MinC’s N- and C-terminal domains in both DNA binding and FtsZ polymerization inhibition.E. colistrains expressing MinC linker variants from the native locus exhibit chromosome segregation defects. The defects are more pronounced in strains where the nucleoid-associated protein HU is endogenously tagged with GFP. These findings reinforce the involvement of the Min system in chromosome segregation inE. coliand highlight a previously unrecognized role for the MinC linker.
Ontogeny of catechol-o-methyltransferase expression in the rat prefrontal cortex: effects of methamphetamine exposure
Authors: Carrica Lauren K. , Gulley Joshua M. 
Published: February 2025

AbstractRepeated use of methamphetamine (METH) is known to dysregulate the dopaminergic system and induce long-lasting changes in behavior, which may be influenced by sex and age of exposure. Catechol-o-methyltransferase (COMT) is an enzyme that is involved in the breakdown of catecholamines, and its role in dopamine clearance is thought to be especially important in the prefrontal cortex (PFC) where dopamine transporter (DAT) expression is relatively scarce. The first study in this report utilized a rat model to characterize the ontogeny of COMT protein expression in the PFC and nucleus accumbens (NAc) across adolescence, which is a developmental stage that has been shown to involve significant reorganization of dopaminergic innervation. Drug-naïve male and female Sprague-Dawley rats were sacrificed on postnatal day (P) 29, 39, 49 or 69, and expression levels of COMT protein within the PFC and NAc were analyzed via Western blot. We found that COMT expression in the PFC increases across adolescence in a sex-dependent manner but does not significantly change in the NAc during this timeframe. A separate group of rats were injected daily from P40-48 (adolescence) or P70-78 (adulthood) with saline or 3.0 mg/kg METH and sacrificed on P49 or P79. While METH decreased COMT in adult rats of both sexes, METH increased COMT expression in the PFC of rats exposed in adolescence. The results of this work suggest that exposure to METH during adolescence uniquely effects dopamine clearance within the PFC, potentially contributing to differences in neurobiological outcomes from METH use.
Targeted inactivation of spinal α2 adrenoceptors promotes paradoxical anti-nociception
Authors: Lucas-Romero Javier , Bandres Maria Fernanda , McPherson Jacob Graves 
Published: February 2025

ABSTRACTNoradrenergic drive from the brainstem to the spinal cord varies in a context-dependent manner to regulate the patterns of sensory and motor transmission that govern perception and action. In sensory networks, it is traditionally assumed that activation of spinal α2 receptors is anti-nociceptive, while spinal α2 blockade is pro-nociceptive. Here, however, we demonstratein vivoin rats that targeted blockade of spinal α2 receptors can promote anti-nociception. The anti-nociceptive effects are not contingent upon supraspinal actions, as they persist below a chronic spinal cord injury and are enhanced by direct spinal application of antagonist. They are also evident throughout sensory-dominant, sensorimotor integrative, and motor-dominant regions of the gray matter, and neither global changes in spinal neural excitability nor off-target activation of spinal α1 adrenoceptors or 5HT1Areceptors abolished the anti-nociception. Together, these findings challenge the current understanding of noradrenergic modulation of spinal nociceptive transmission.
Effect of microstructure and grain boundary character distribution on the corrosion behavior of weathering bridge steel
Authors: Li Wang , Gao Xiuhua , Chen Xincheng , Wang Hongyan , Zhu Changyou , Li Tong , Wang Jun , Wu Hongyan , Du Linxiu , Gao Cairu 
Published: February 2025

Purpose
This study aims to investigate the effect of different microstructures and its grain boundary character distribution (GBCD) on the corrosion behavior of weathering bridge steel.

Design/methodology/approach
The rust layer characteristics and corrosion resistance of specimens with different microstructures in the simulated industrial environment were studied by Electron Probe X-ray Micro-Analyzer, wavelength-dispersive spectrometer and electrochemical techniques. Electron backscatter diffraction technique was used to characterize the GBCD in steels with different microstructures.

Findings
Results revealed a significant difference in the corrosion susceptibility among the four microstructures, with corrosion rates decreasing in the following order: ferrite + pearlite > ferrite + bainite > bainite > martensite. The variation in corrosion resistance is primarily influenced by the microstructure type and the proportion of special grain boundaries, rather than the alloying elements. The proportion of Σ3 boundaries within the coincidence site lattice boundaries is positively correlated with improved corrosion resistance. A higher Σ3 boundary fraction resulted in a lower effective grain boundary energy, elevated self-corrosion potential, increased polarization resistance and reduced areas of localized galvanic corrosion; this led to enhanced inhibition of the electrochemical corrosion reaction, consequently reducing the corrosion rate.

Originality/value
This study elucidates and quantifies the intrinsic relationship between microstructure, GBCD and corrosion rate. This understanding is crucial for enhancing the corrosion resistance of weathering bridge steels in industrial atmospheric corrosion environments.
Mapping journey of human resource management practices and service quality: a systematic review and bibliometric analysis
Authors: Kaushal Neelam , Kaurav Rahul Pratap Singh , Jha Manish Kumar , Ghalawat Suman , Kaswan Mahender Singh 
Published: February 2025

PurposeThe present research work reviews and maps the thematic evolution of the interface between human resource (HR) practices and service quality (SQ) over the last 33 years.Design/methodology/approachThe authors employed systematic literature review (SLR), bibliometric analysis and visualization to comprehensively map 215 papers extracted from the Web of Science and Scopus databases. The present study also helps to document the research themes that evolved through co-occurrence networks and thematic maps.FindingsThe study identifies that HR practices are the central drivers for maintaining SQ in an organization and found that teamwork, empowerment, recruitment, selection, training and reward are key for improving the SQ. It concludes the impact of HR practices on SQ, develops the knowledge structure of human resource management (HRM) operations and SQ literature and organizes it under various dimensions as antecedents and outcomes. As its foremost input, the current study proposes human resource practices and service quality (HRPSQ) framework for comprehensive HR practices and SQ in an organization.Originality/valueThe study is unique as it map the journey of HR practices and SQ and proposes a framework for improved performance.
Revolutionizing sustainable success: unveiling the power of green human resource management, green innovation and green human capital
Authors: Badwy Hanan Eid , Qalati Sikandar Ali , El-Bardan Mohamed Fawzy 
Published: February 2025

PurposeEnvironmental concerns and the urgent issues of climate change have shifted the organization’s focus toward achieving sustainability. Therefore, this study aims to evaluate the complex relationships among green human resource management (GHRM), green innovation (GI), green human capital (GHC) and sustainable performance (SP).Design/methodology/approachTo investigate the relationships, the study employed partial least square structural equation modeling to run an analysis on 384 managers working in the hotel sector in Egypt, selected through a simple random sampling technique.FindingsThe results demonstrate that GHRM positively influences both GI and GHC. Additionally, GI and GHC have a positive impact on SP. Furthermore, GHRM directly contributes to SP, with GI and GHC acting as significant mediators in the relationship between GHRM and SP.Practical implicationsThis study advances theoretical understanding and offers practical insights by employing the resource-based view theory and the ability-motivation-opportunity theory.Originality/valueThis research introduces and empirically tests a novel conceptual framework that comprehensively assesses the impacts of GHRM, GI and GHC on SP.
Stepping stone: the logic of financial inclusion through microfinance – evidence from China’s largest commercial microfinance institution
Authors: Zhou Nan , Cheng Wenli , Zhang Longyao 
Published: February 2025

PurposeThis study assesses the impact of microfinance experience on rural households’ subsequent bank credit access, defined as the stepping-stone effect. We evaluate the average impact, heterogeneity and mechanisms of this effect and draw policy implications.Design/methodology/approachBased on 2018 survey data from 2,347 rural households in six Chinese provinces, this study uses the IV-Probit model to evaluate the stepping-stone effect.FindingsThe microfinance experience increases rural households’ probability of obtaining subsequent bank credit by six percentage points. Whether distinguished by social capital or economic wealth, this effect is at least as significant among households previously excluded from bank credit as it is among those originally favored by bank credit. Two mechanisms behind this effect are identified: (1) the microfinance experience provides financial education, transforming hidden demand for bank credit into effective demand and (2) the microfinance experience creates a credit record in the National Credit Information System, increasing the ability to obtain bank credit by providing banks with credible credit information.Originality/valueThis study provides evidence of a progressive relationship in which microfinance acts as a stepping stone to deliver “credit graduate” clients to bank credit. And we also provide a different perspective for understanding MFIs’ relatively high interest rates. We may treat a part of the interest payment as a tuition for financial education and a price for credit information.Highlights(1)We study whether microfinance in China had the stepping-stone effect of improving a rural household’s subsequent access to bank credit and investigate the likely mechanisms behind it.(2)Microfinance served as a stepping stone to bank credit: the microfinance experience increases rural households’ probability of obtaining subsequent bank credit by six percentage points.(3)Whether distinguished by social capital or economic wealth, this effect is at least as significant among households previously excluded from bank credit as it is among those originally favored by bank credit.(4)On the credit demand side, the microfinance experience provides financial education, transforming hidden demand for bank credit into effective demand.(5)On the credit supply side, the microfinance experience creates a credit record in the National Credit Information System, increasing the ability to obtain bank credit by providing banks with credible credit information.
Exploring the impact of morphological nanolayers on mixed convection in MHD nanofluids through a neurocomputational approach
Authors: Faisal  , Ramzan Aroosa , Ahmad Moeed , Abbas Waseem 
Published: February 2025

Purpose
This study aims to develop a neurocomputational approach using the Levenberg–Marquardt artificial neural network (LM-ANN) to analyze flow and heat transfer characteristics in mixed convection involving radiative magnetohydrodynamic hybrid nanofluids. The focus is on the influence of morphological nanolayers at the fluid–nanoparticle interface, which significantly impacts coupled heat and mass transfer processes.

Design/methodology/approach
This research simplifies a complex system of higher-order nonlinear coupled partial differential equations governing the flow between orthogonal coaxially porous disks into ordinary differential equations via similarity transformations. These equations are solved using the shooting method, and parametric studies are conducted to observe the impact of varying important parameters. The resulting data sets are used to train, validate and test the LM-ANN model, which ensures high predictive accuracy. Machine learning and curve-fitting techniques further enhance the model’s capability to generate detailed visualizations.

Findings
The findings of this study indicate that increased nanolayer thickness (0.4–1.6) significantly improves thermal performance, while changes in the chemical reaction parameter (0.2–1) have a notable effect on enhancing the Sherwood number. These results highlight the critical role of morphological nanolayers in optimizing thermal and mass transfer efficiency in MHD nanofluids.

Originality/value
This research provides a novel neurocomputational framework for understanding the thermal and mass transfer dynamics in MHD nanofluids by incorporating the effects of interfacial nanolayers, an aspect often overlooked in conventional studies. The use of LM-ANN trained on computational data sets enables high-fidelity predictive analysis, offering new insights into the enhancement of thermal and mass transfer efficiency in hybrid nanofluid systems.
Are employer-initiated financial education programs effective for women? Insights for organizational training programs through stakeholder perceptions
Authors: Urmila M.S. , Pillai Rajasekharan , Mukesh Hasirumane Venkatesh , Prabhu Nandan 
Published: February 2025

Purpose
This study aims to explore and unfold the problems in designing and delivering employer-initiated financial education programs (FEPs) from the perspective of working women who attend such programs.

Design/methodology/approach
The researchers conducted in-depth interviews and utilized an interpretive qualitative approach to explore the expectations and experiences of women employees regarding such programs.

Findings
The results of this study demonstrate that employer-led FEPs may not benefit women employees due to specific misaligned actions of both employers and employees at every stage, which make the programs ineffective.

Research limitations/implications
While this study encompasses women from varied age groups and marital statuses, the researchers acknowledge that the sample size is limited and represents a specific socioeconomic group.

Practical implications
The findings of this study have policy and practical implications for addressing perceived issues in FEPs initiated by employers for women employees.

Originality/value
The novel contributions of this study include suggesting a process model for building FEPs, highlighting the existing problems at each step in designing and delivering an FEP and expanding the application of Self-Determination Theory in FEPs.