bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deciphering the Gut Microbiome’s Influence on Depression: A Community-Level Constraint-Based Metabolic modelling Approach
Authors: Yuchen Zhang , Lai Wenkai , Meiling Wang , Shirong Lai , Qing Liu , Qi Luo , Fenglong Yang 
Published: October 2024

ABSTRACTBackgroundDepression is a common mental disorder worldwide, and its pathogenesis remains incompletely understood. However, increasing evidence suggests that gut microbiota play a significant role in the development of depression through the gut-brain-microbiota axis.ResultsThis study utilized data from the Gmrepo database to match the gut microbiota profiles of 271 pairs of individuals with depression and healthy controls. Through systematic analysis and constrained metabolic modeling, we revealed the impact of the gut microbiome on depression. The main findings include:1.The gut microbial diversity in individuals with depression is significantly reduced compared to healthy individuals, particularly in terms of species richness and evenness.2.LEfSe analysis indicated that several species from the family Micrococcaceae are significantly enriched in patients with depression, whereas bacteria from the phylum Firmicutes are more abundant in healthy individuals.3.Metabolic pathway analysis revealed significant differences between the two groups in pathways related to fatty acid synthesis, the interconversion of pentoses and glucuronic acid, and thiamine metabolism.4.We also identified 21 differential metabolites, among which L-Dopa and copper ion metabolism showed significant differences, potentially playing an important role in the onset of depression.ConclusionsThrough systematic analysis and constrained metabolic modeling, this study revealed the potential association between gut microbiota and depression, highlighting the significant impact of microbial metabolic functions on host mental health. The findings provide potential biomarkers and metabolic targets for the future diagnosis and treatment of depression. In particular, the modulation of microbial metabolites may offer new avenues for clinical treatment of depression.
Axon-specific microtubule regulation drives asymmetric regeneration of sensory neuron axons
Authors: Costa Ana C. , Murillo Blanca R. , Bessa Rita , Ribeiro Ricardo , Ferreira da Silva Tiago , Porfírio-Rodrigues Patrícia , Martins Gabriel G. , Brites Pedro , Kneussel Matthias , Misgeld Thomas , Brill Monika S. , Sousa Monica M. 
Published: October 2024

AbstractSensory dorsal root ganglion (DRG) neurons have a unique pseudo-unipolar morphology in which a stem axon bifurcates into a peripheral and a central axon, with different regenerative abilities. Whereas peripheral DRG axons regenerate, central axons are unable to regrow. Central axon regeneration can however be elicited by a prior conditioning lesion to the peripheral axon. How DRG axon asymmetry is established, remains unknown. Here we developed a rodentin vitrosystem replicating DRG pseudo-unipolarization and asymmetric axon regeneration. Using this model, we observed that from early development, central DRG axons have a higher density of growing microtubules. This asymmetry was also presentin vivoand was abolished by a conditioning lesion that decreased microtubule polymerization of central DRG axons. An axon-specific microtubule-associated protein (MAP) signature, including the severases spastin and katanin and the microtubule regulators CRMP5 and tau, was found and shown to adapt upon conditioning lesion. Supporting its significance, interfering with the DRG MAP signature eitherin vitroorin vivo, readily abolished central-peripheral asymmetries in microtubule dynamics and regenerative ability. In summary, our data unveil that axon-specific microtubule regulation drives asymmetric regeneration of sensory neuron axons.Impact statementSensory neurons have a stem axon that bifurcates originating two axons with different properties. This work shows that DRG axons have a specific protein signature underlying microtubule and regeneration asymmetries. It also provides anin vitrosystem replicating DRG biology.
Direct and indirect RANK ligand and CD40 ligand signaling regulate the maintenance of thymic epithelial cell frequency and properties in the adult thymus
Authors: Hayama Mio , Ishii Hiroto , Miyauchi Maki , Yoshida Masaki , Hagiwara Naho , Muramtatu Wataru , Namiki Kano , Endo Rin , Miyao Takahisa , Akiyama Nobuko , Akiyama Taishin 
Published: October 2024

AbstractMedullary thymic epithelial cells (mTECs) play a crucial role in suppressing the onset of autoimmunity by eliminating autoreactive T cells and promoting the development of regulatory T cells in the thymus. Although mTECs undergo turnover in adults, the molecular mechanisms behind this process remain unclear. This study describes the direct and indirect roles of receptor activator of NF-κB ligand (RANKL) and CD40 ligand (CD40L) signaling in TECs in the adult thymus. Flow cytometric and single-cell RNA-seq (scRNA-seq) analyses suggest that the depletion of both RANKL and CD40L signaling inhibits mTEC differentiation from CCL21+mTEC progenitors to transit-amplifying TECs in the adult thymus. Unexpectedly, this depletion also indirectly affects the gene expression of TEC progenitors and cortical TECs. Notably, AP-1 gene expression, which allows further subdivision of TEC progenitors, is upregulated following the depletion of RANKL and CD40L signaling. Overall, our data propose that RANKL and CD40L signaling cooperatively maintain mature mTEC frequency in the adult thymus and sustain the characteristics of TEC progenitors through an indirect mechanism.
Characterization of [3H]AZ12464237 as a high affinity, non-nucleotide antagonist radioligand for the P2Y12 receptor
Authors: Stéen E. Johanna L. , Tousiaki Efthalia-Natalia , Kingston Lee , van der Wildt Berend , Lénárt Nikolett , Beaino Wissam , Verlaan Mariska , Zarzycka Barbara , Zinnhardt Bastian , Dénes Ádám , Gobbi Luca , de Esch Iwan J.P. , Elmore Charles S. , Windhorst Albert D. , Honer Michael , Leurs Rob 
Published: October 2024

AbstractThe purinergic receptor P2Y12(P2Y12R) is a well-recognized target for anti-thrombotic agents. This receptor is also expressed in microglia, where it plays a key role in neuroinflammation and microglia activation. To investigate P2Y12R-mediated actions in the central nervous system (CNS), the development of novel brain-penetrant ligands is essential, along with furtherin vitrostudies. A radiolabeled, easily accessible tool compound would significantly advance such drug discovery efforts. Herein, we describe the3H-labeling of a non-nucleotide P2Y12R antagonist AZ12464237, and itsin vitrobinding properties to the receptor in membrane preparations form transfected cells, as well as on mouse brain tissues. The radioligand shows high affinity toward both the human and rat P2Y12R in transfected cells, withKdvalues of 3.12 ± 0.70 nM (human) and 16.6 ± 3.4 nM (rat), as determined by saturation binding studies. The binding kinetics of [3H]AZ12464237 are rapid with a short target residence time (∼1 min). We further confirmed the selectivity of the radioligand by performing competitive displacement studies, in which reported P2Y12R ligands and other P2Y receptors ligands were tested for binding against [3H]AZ12464237. Additionally, the radioligand proved useful forin vitroautoradiography studies on mouse brain tissues, although a small amount of off-target binding was observed in P2Y12R knock-out mice. This could be traced to glycogen synthase kinase 3 α. Considering the growing interest in P2Y12R as a biomarker for microglia activation, [3H]AZ12464237 represents a promising tool forin vitrostudies, including screening assays aimed at identifying novel P2Y12R ligands for CNS applications.
Exploring the Explainability of a Machine Learning Model for Prostate Cancer: Do Lesions Localize with the Most Important Feature Maps?
Authors: Provenzano Destie , Haji-Momenian Shawn , Batheja Vivek , Loew Murray 
Published: October 2024

AbstractAs the use of AI grows in clinical medicine, so does the need for better explainable AI (XAI) methods. Model based XAI methods like GradCAM evaluate the feature maps generated by CNNs to create visual interpretations (like heatmaps) that can be evaluated qualitatively. We propose a simple method utilizing the most important (highest weighted) of these feature maps and evaluating it with the most important clinical feature present on the image to create a quantitative method of evaluating model performance. We created four Residual Neural Networks (ResNets) to identify clinically significant prostate cancer on two datasets (1. segmented prostate image and 2. full cross sectional pelvis image (CSI)) and two model training types (1. transfer learning and 2. from-scratch) and evaluated the models on each. Accuracy and AUC was tested on one final full CSI dataset with the prostate tissue removed as a final test set to confirm results. Accuracy, AUC, and co-localization of prostate lesion centroids with the most important feature map generated for each model was tabulated and compared to co-localization of prostate lesion centroids with a GradCAM heatmap. Prostate lesion centroids co-localized with any model generated through transfer learning ≥97% of the time. Prostate lesion centroids co-localized with the segmented dataset 86 > 96% of the time, but dropped to 10% when segmented model was tested on the full CSI dataset and 21% when model was trained and tested on the full CSI dataset. Lesion centroids co-localized with GradCAM heatmap 98% > 100% on all datasets except for that trained on the segmented dataset and tested on full CSI (73%). Models trained on the full CSI dataset performed well (79% > 89%) when tested on the dataset with prostate tissue removed, but models trained on the segmented dataset did not (50 > 51%). These results suggest that the model trained on the full CSI dataset uses features outside of the prostate to make a conclusion about the model, and that the most important feature map better reflected this result than the GradCAM heatmap. The co-localization of medical region of abnormality with the most important feature map could be a useful quantitative metric for future model explainability.
An Investigation of Cellulase and Epigallocatechin-3-gallate as Enhancers of Antibiotic Efficacy in Polymicrobial Biofilm Treatments
Authors: Murray Oliver 
Published: October 2024

I.AbstractThe treatment of bacterial infections is becoming increasingly difficult with the alarming rise of antibiotic resistance. Research has illustrated that the majority of these infections are composed of polymicrobial biofilms that can withstand antibiotic treatment to a higher degree than single-species microbial communities. Nonetheless, monospecies biofilms are still utilised for the investigation of novel combinatorial treatments, risking failure to transfer results toin vivoinfections. This study aims to provide evidence that novel combinatorial therapies can enhance the efficacy of antibiotics in treating multispecies biofilm infections. Expanding on work within the field concerning the antibiofilm compounds epigallocatechin-3-gallate and cellulase, we sought to analyse the effects of cellulase and epigallocatechin-3-gallate, in combination with ampicillin, on polymicrobial biofilms. We pursued this by performing crystal violet assays and measuring colony-forming unit counts on environmental samples following combinatorial treatments. Statistical analysis demonstrated that cellulase significantly reduced both biofilm biomass and viable bacteria while epigallocatechin-3-gallate did not affect either quantifier. Whilst these results were not completely in line with expectations, the pronounced effect of cellulase and the epigallocatechin-3-gallate ethanol solvent were considered significant contributions to polymicrobial combinatorial treatment research. With further work in this space identifying additional therapies and examining compoundsin vivo, there is the potential for millions of lives to be saved and the threat of a pandemic of antimicrobial resistance to be countered.
From GI products consumers to destination visitors: an examination of the push side mechanism
Authors: Li Xinwei , Li Xi , Kuang Tingyue , Cheng Lulu , Wu Qi 
Published: October 2024

PurposeGeographical Indication (GI) products represent a distinct association between a product and its specific geographic origin. While scholars have acknowledged the impact of GI products on destination marketing, there exists a dearth of research concerning the underlying mechanism through which the perceived value of GI products influences consumers' intention to visit the region of origin.Design/methodology/approachThis study utilizes the cognitive appraisal theory as a basis for constructing a conceptual framework to investigate the association between the perceived value of GI products, emotional reactions and destination brand awareness.FindingsBy placing particular emphasis on the diverse impacts of perceived value on tourists' affective responses and travel intentions, the results of this research offer significant contributions to the field of destination marketing.Originality/valueA deeper understanding of the perceived value of GI products can enable destination marketers to effectively attract prospective tourists and foster a stronger connection between tourists and the regions of origin.
Too much work frustrates me! A mediation model of career-related outcomes of work overload
Authors: Tariq Ali , Fatima Tehreem , Waqas Muhammad , Mehmood Yassir , Khalid Raana 
Published: October 2024

PurposeWork overload implies that there are excessive work demands that cannot be adequately fulfilled within the given deadlines. This research examines the effect of work overload on career outcomes, i.e. career satisfaction and occupational commitment through the mediating role of work frustration.Design/methodology/approachThe data were collected from employees working in the schools of Punjab, Pakistan in three waves. Out of the total, 248 valid responses were analyzed by PROCESS model 4 using SPSS 24.FindingsBased on affective event theory (AET) the results demonstrated that negative workplace events such as work overload create negative emotions like frustration at work and cause poor job outcomes (i.e. low satisfaction and commitment).Research limitations/implicationsHowever, the outcomes should be interpreted in the light of single sector and time-lagged data tested on the mediation-only model.Practical implicationsThe current study has implications for workload management in school staff to retain their career satisfaction and commitment.Social implicationsThis study has implications for society by offering to enhance the career outcomes of school staff that are prime institutions for socio-economic development.Originality/valueThis is one of the initial research studies that have examined the career-related outcomes of work overload based on AET via the mediating role of work frustration.
Job insecurity, life satisfaction and the moderating role of job satisfaction in South Korea
Authors: Lee Yunsoo 
Published: October 2024

Purpose
The purpose of this paper is to examine the influences of job insecurity on life satisfaction and to assess the moderating effects of several facets of job satisfaction between job insecurity and life satisfaction.

Design/methodology/approach
Drawing on the survey conducted in Seoul, this paper runs the hierarchical regression models.

Findings
The results of this study suggest that job insecurity is detrimental to life satisfaction. Satisfaction with pay and co-workers enhances life satisfaction. Only satisfaction with co-workers exerts a moderating influence.

Research limitations/implications
The results obtained from Seoul may reflect sample-specific dynamics that may be different from other areas, which may limit the generalizability of the findings of this paper.

Practical implications
Organizations would be dysfunctional if workers are not satisfied with their life. Therefore, human resource professions must be vigilant about fostering conditions supportive human relations.

Originality/value
Previous studies revealed that job insecurity has the undermining impact on employees’ life satisfaction. However, there has been little research done to examine the moderating factors of job satisfaction. In this study, it is argued that satisfaction with co-workers is a critical condition in moderating the effect of job insecurity on life satisfaction.
Interlinkages between public expenditures, non-tax government revenues and corruption in the transition economies
Authors: Ozun Alper , Ertuğrul Hasan Murat , Haliscelik Ergul 
Published: October 2024

PurposeThis article examines potential impacts of increase in non-tax government revenues and public expenses on corruption for 11 transition economies in the Central and Eastern Europe.Design/methodology/approachThe empirical analysis uses yearly panel datasets and employs second-generation panel data models which take cross-sectional dependency and slope heterogeneity into account.FindingsThe empirical results reveal the fact that there is a strong linkage between public expenses and corruption and a weak linkage between non-tax revenue collection and corruption in the transition economies. We perform the same analysis by using data sets from G-7 countries but do not notice any linkages between those variables.Research limitations/implicationsThe research topic requires further discussion on constitutional political economy to digest the empirical findings. Thus, an extended version combined with political economic approach might be useful.Practical implicationsThrough economic transitions, there might be a linkage between public expenditures and corruption index. Thus, public spending might be controlled by using constitutional economics policies.Originality/valueThis paper is the first empirical work in the literature, which examines if there is a linkage between corruption and public expenditures and government tax income structure by using panel data sets. Moreover, it compares the results from transition countries with those of G-7 countries and provides certain policy suggestions in the context of constitutional economics.
Intersectional employee voice inequalities and culture care theory: the case of migrant palliative care nurses in Saudi Arabia
Authors: Davies Julie , Anjuman Thamina , Al Ghamdi Zeyad , Altamimi Saud , Ellahi Sheikh Mateen , Al Thani Moza , Huang Frank , Alsoqair Yara , Alshehri Rawan 
Published: October 2024

PurposeThis narrative literature review examines intersectional employee voice inequalities in a non-Western, high power distance context to develop a multilevel conceptual framework.Design/methodology/approachThe authors use Leininger's (1997, 2002) culture care model to explore multilevel influences on intersectional voice inequalities. The article applies insights from a review of 31 studies to the specific challenges of migrant palliative care (PC) nurses in Saudi Arabia.FindingsThe themes identified in the review indicate how better transcultural communications might mitigate voice inequalities that influence migrant employee wellbeing and intentions to quit which result from cultural incongruities.Originality/valueThe impact of national culture differences and intersectional inequalities on employee voice has largely been ignored in academic research. This paper offers unique insights drawing on culture care theory into intersectional voice challenges from a non-Western perspective in the underresearched setting of Saudi Arabia which is mid-way through a national transformation program. It starkly contrasts policy ambitions for advancing healthcare with discriminatory practices based on conservative attitudes which stifle migrant worker voices.
Barriers to teaching in culturally and linguistically diverse classrooms in mainstream secondary schools
Authors: Masunungure Appolonia , Maguvhe Mbulaheni O. 
Published: October 2024

Purpose
The purpose of this qualitative study is to explore barriers to cultural and linguistic diversity teaching in mainstream secondary schools in South Africa.

Design/methodology/approach
The study was underpinned by the culturally responsive pedagogy theory as a framework. Face-to-face interviews were conducted to explore the barriers to teaching in culturally and linguistically diverse (CLD) classrooms.

Findings
The authors found that teachers experience a plethora of challenges in teaching CLD learners. The findings show that culturally responsive practices, collaboration with relevant stakeholders and seeking professional development opportunities may advance the productive engagement of CLD learners in secondary schools.

Practical implications
Pre-service and in-service teachers should be conscientious about CLD teaching and learning through professional development. Teachers should be trained and retrained to accommodate CLD learners.

Originality/value
This study highlights significant aspects that hinder the inclusion of CLD learners and encourages the Department of Higher Education (tertiary institutions) and the Department of Basic Education Curriculum Developers to reconsider aspects of CLD in curriculum planning.
Approximating technology innovation performance with fuzzy approach
Authors: Singh Davinder 
Published: October 2024

Purpose
This study aims to construct a framework to evaluate technology innovation performance (TIP) of manufacturing organizations by adopting a fuzzy-based approach. In very short time, the world’s economic order has been reformed by economic globalization, thereby bringing new challenges as well as opportunities for the manufacturing industries. Policy makers encounter different decisions that require the use of various types of data in their decision-making process. These challenges raised the necessity of measuring innovation capability, which is critical issue for decision makers in today’s competitive world. The research results reveal the complexity of the path to technology innovation evaluation, constituting a novel contribution to the literature.

Design/methodology/approach
It is difficult for decision makers to make appropriate and effective decisions without knowing the innovation capability of companies in a particular sector or a region. As a result, not only on a macro but also on a micro level, an integrated and complete technique of measuring, estimating and even projecting innovation performance is necessary. In light of above mentioned facts, the present study proposes a technology innovation performance evaluation system of manufacturing organizations using fuzzy logic.

Findings
A model has been developed to be beneficial for any kind of organization where TIP evaluation is important consideration for enhancing manufacturing performance. Fuzzy control is used to determine the overall performance index by combining results of the TIP in selected criteria, which will certainly ensure suitability of the concerned organizations during performance rating calculations.

Originality/value
This study elaborates a fuzzy model to predict TIP with fuzzy rules. This is the first time a TIP evaluation model is developed using fuzzy approach that will be applicable for any kind of manufacturing industry where TIP evaluation is considered to be significantly important for cooperation’s to sustain competitiveness in the dynamic landscape.