bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiling the intestinal microbiota, plasma bile acids and inflammation markers reveals novel associations in Crohn’s disease and Ulcerative colitis
Authors: Prast-Nielsen Stefanie , Granström Anna Löf , Kiasat Ali , Ahlström Gustav , Edfeldt Gabriella , Rautiainen Susanne , Boulund Fredrik , Andersson Fredrik O , Lindberg Johan , Schuppe-Koistinen Ina , Gustafsson Ulf O , Engstrand Lars 
Published: April 2024

AbstractBackground and aimsOur study explores signatures for Crohn’s disease (CD) and Ulcerative Colitis (UC) reflecting the interplay between the intestinal microbiota, systemic inflammation, and plasma bile acid homeostasis.Methods1,257 individuals scheduled for colonoscopy were included and completed a comprehensive questionnaire. Individuals with IBD (‘CD’ n=64 and ‘UC’ n= 55), were age– and gender-matched to controls without findings during colonoscopy. Taxonomic profiles of the fecal microbiota and plasma profiles of inflammatory proteins and bile acids were used to build disease classifiers. Omics integration identified associations across datasets.ResultsB. hydrogenotrophicawas associated with CD andC. eutactus, C. sp. CAG 167, B. cellulosilyticus, C. mitsuokaiwith controls. Ten inflammation markers were increased in CD, and eleven bile acids and derivatives were decreased in CD, while 7a-Hydroxy-3-oxo-4-cholestenoate (7-HOCA) and chenodeoxycholic acid (CDCA) were increased compared to controls.In UC, commensals such asF. prausnitziiandA. muciniphilawere depleted. CCL11, IL-17A, and TNF were increased in UC and associated to gut microbial changes. Correlations between taxa and bile acids were all positive.ConclusionsFor both CD and UC, taxonomic differences were primarily characterized by a reduction in commensal gut microbes which exhibited positive correlations with secondary bile acids and negative correlations with inflammation markers, potentially reflecting protective mechanisms of these commensal microbes.
Spatially Enhanced Processing for Valuable Objects in Prefrontal Cortex Neurons During Efficient Search
Authors: Sharifi Kiomars , Abbaszadeh Mojtaba , Ghazizadeh Ali 
Published: April 2024

SummaryIt is recently shown that objects with long-term reward associations can be efficiently located during visual search. The neural mechanism for valuable object pop-out is unknown. In this work, we recorded neuronal responses in the ventrolateral prefrontal cortex (vlPFC) with known roles in visual search and reward processing in macaques while monkeys engaged in efficient vs inefficient visual search for high-value fractal objects (targets). Behavioral results and modeling using multi-alternative attention-modulated drift-diffusion (MADD) indicated that efficient search was concurrent with enhanced processing for peripheral objects. Notably, neural results showed response amplification and receptive field widening to peripherally presented targets in vlPFC during visual search. Both neural effects predict higher target detection and were found to be correlated with it. Our results suggest that value-driven efficient search independent of low-level visual features arises from reward-induced spatial processing enhancement of peripheral valuable objects.
Exploring Gene-Mediated Mechanisms Behind Shared Phenotypes Across Diverse Diseases Using the clGENE Tool
Authors: Zheng Li 
Published: April 2024

AbstractThe observation of similar clinical characteristics across a broad spectrum of diseases suggests the existence of underlying shared molecular mechanisms. Identifying these mechanisms is critical for uncovering the molecular roots of diseases and advancing the development of innovative therapeutic strategies. However, researching the common genes that mediate similar phenotypes among different diseases often requires the integration of various sequencing datasets and clinical data. The batch effects among these datasets and the complexity of clinical data present significant challenges to the research. This study developed a framework named “clGENE”, aimed at uncovering the molecular mechanisms behind similar phenotypes across different diseases. By integrating data normalization, cosine similarity analysis, and principal component analysis (PCA) algorithms, this framework is capable of effectively identifying shared molecular mechanisms associated with specific phenotypes and further selecting key shared genes. Through the analysis of a pan-cancer dataset, we have verified the efficacy and reliability of the “clGENE” framework. Furthermore, this study also established a dataset on immune cell infiltration and successfully identified key patterns of immune cell infiltration in different cancer lymph node metastasis stages using the ‘clGENE’ framework, further confirming its potential application in biomedical research.
Sex differences in oxycodone-taking behaviors are linked to disruptions in reward-guided, decision-making functions
Authors: LaRocco Kaitlyn , Villiamma Peroushini , Hill Justin , Russell Mara A. , DiLeone Ralph J. , Groman Stephanie M. 
Published: April 2024

AbstractProblematic opioid use that emerges in a subset of individuals may be due to pre-existing disruptions in the biobehavioral mechanisms that regulate drug use. The identity of these mechanisms is not known, but emerging evidence suggests that suboptimal decision-making that is observable prior to drug use may contribute to the pathology of addiction and, notably, serve as a powerful phenotype for interrogating biologically based differences in opiate-taking behaviors. The current study investigated the relationship between decision-making phenotypes and opioid-taking behaviors in male and female Long Evans rats. Adaptive decision-making processes were assessed using a probabilistic reversal-learning task and oxycodone- (or vehicle, as a control) taking behaviors assessed for 32 days using a saccharin fading procedure that promoted dynamic intake of oxycodone. Tests of motivation, extinction, and reinstatement were also performed. Computational analyses of decision-making and opioid-taking behaviors revealed that attenuated reward-guided decision-making was associated with greater self-administration of oxycodone and addiction-relevant behaviors. Moreover, pre-existing impairments in reward-guided decision-making observed in female rats was associated with greater oxycodone use and addiction-relevant behaviors when compared to males. These results provide new insights into the biobehavioral mechanisms that regulate opiate-taking behaviors and offer a novel phenotypic approach for interrogating sex differences in addiction susceptibility and opioid use disorders.
Heterologous expression and purification of glutamate decarboxylase-1 from the model plantArabidopsis thaliana: characterization of the enzyme’sin vitrotruncation by thiol endopeptidase activity
Authors: Menard Brittany S. , Benidickson Kirsten H. , Raytek Lee Marie , Snedden Wayne A. , Plaxton William C. 
Published: April 2024

ABSTRACTPlant glutamate decarboxylase (GAD) is a Ca2+-calmodulin activated cytosolic enzyme that produces γ-aminobutyrate (GABA) as the first committed step of the GABA shunt. This pathway circumvents the 2-oxoglutarate to succinate reactions of the mitochondrial tricarboxylic acid cycle. Our prior research established thatin vivophosphorylation of the root-specific AtGAD1 isozyme (AT5G17330) occurs at multiple N-terminal serine residues, following Pi resupply to Pi-starved cell cultures of the model plantArabidopsis thaliana. The aim of the current investigation was to purify recombinant AtGAD1 following its expression inEscherichia colito facilitate studies of the impact of site-specific phosphorylation on its kinetic properties. However,in vitroproteolytic truncation of a 5 kDa polypeptide from the C-terminus of 59 kDa AtGAD1 subunits occurred during its purification. Immunoblotting demonstrated that most protease inhibitors or cocktails that we tested were ineffective in suppressing partial AtGAD1 proteolysis during incubation of clarified extracts at 23 °C. Although the thiol modifiers N-ethylmaleimide or 2,2-dipyridyl disulfide negated AtGAD1 proteolysis, they also abolished its GAD activity. This indicates that an essential -SH group is needed for catalytic activity, and that AtGAD1 is susceptible to partial degradation either by anE. colicysteine endopeptidase, or possibly via autoproteolytic activity. The inclusion of exogenous Ca2+/calmodulin in extraction and chromatography buffers facilitated the purification of non-proteolyzed AtGAD1 to a specific activity of 27 (µmol GABA produced/mg) at optimal pH 5.8, while exhibiting an approximate 3-fold activation by Ca2+/CaM at pH 7.3. By contrast, the purified partially proteolyzed His6-AtGAD1 was >40% less active at both pH values, and only activated 2-fold by Ca2+/CaM at pH 7.3. These results emphasize the need to diagnose and prevent unwanted proteolysis before conducting kinetic studies of purified regulatory enzymes.
Reducing airline accident risk and saving lives: financial health, corporate governance, and aviation safety
Authors: Khadivar Hamed , Murphy Miles , Walker Thomas 
Published: April 2024

Purpose
This study investigates the impact of financial health and corporate governance on aviation safety, aiming to fill a critical gap in existing research. The purpose of this study is to identify how these factors influence the safety records of airlines and provide insights for regulators, airlines and stakeholders to enhance aviation safety.

Design/methodology/approach
Using a comprehensive international sample spanning 1950–2009 and later, this empirical analysis draws on diverse databases. The authors examine 372 airlines across 70 countries from 1990 to 2016. The research uses statistical models to analyze the relationship between financial indicators, corporate governance quality and aviation safety, addressing limitations of prior single-country studies.

Findings
The findings reveal a significant inverse relationship between financial health and accident propensity, with profitable airlines exhibiting lower accident rates. Additionally, airlines with higher corporate governance quality, characterized by qualified directors and stable leadership, experience fewer accidents. The study identifies key factors such as pilot errors, mechanical failures and adverse weather, contributing to approximately 75% of accidents, emphasizing the importance of organizational control.

Practical implications
This research has crucial implications for aviation safety policies and practices. Regulators and international organizations, such as International Civil Aviation Organization and International Air Transport Association, should allocate resources to supervise financially vulnerable airlines and those with lower governance quality. Governments might consider incentivizing safety practices through tax deductibility for relevant expenses. Shareholders are encouraged to prioritize qualified, younger and less busy directors, recognizing their impact on safety performance.

Originality/value
This study contributes to existing literature by addressing methodological biases and offering a comprehensive international perspective. The identification of a link between financial health, corporate governance and accident rates in the aviation industry provides valuable insights. The research informs policymakers, regulators and industry stakeholders on effective strategies to improve safety by considering financial and governance factors under their control.
A comparative analysis of lean start-up and design thinking and its integration
Authors: Sreenivasan Aswathy , Suresh M. 
Published: April 2024

Purpose
This study aims to emphasize the integration of lean start-up and design thinking approaches and investigate how they may be used together.

Design/methodology/approach
The report uses a systematic literature review methodology to analyze and summarize previous research on combining lean start-up and design thinking. Inferences were discovered and analyzed after relevant publications were chosen based on predetermined inclusion criteria.

Findings
The research shows that combining lean start-up and design thinking significantly impacts entrepreneurship. Start-ups can efficiently uncover consumer needs, reduce risks and improve their product or service offerings by combining the client-centricity of design thinking with the iterative and data-driven concepts of lean start-up. This integration promotes an innovative culture, gives teams the freedom to try new things and learn from mistakes and raises the possibility of start-up success.

Research limitations/implications
The dependence on pre-existing literature, which might cover only some potential uses and circumstances, is a weakness of this research. It is advised that more empirical research be conducted to determine the precise circumstances in which the integrated strategy performs best. Future studies should also explore the difficulties and drawbacks of using these approaches to offer suggestions for overcoming them and maximizing their advantages.

Practical implications
The findings have significant ramifications for business owners and other professionals working in the start-up environment. The combination of lean start-up and design thinking emphasizes the relevance of early customer interaction and empathy-driven design. To foster creativity and hasten the expansion of start-ups, practitioners are urged to create a comprehensive strategy that integrates the advantages of both techniques. Through this integration, business owners may develop solutions that appeal to their target market, increasing adoption rates and market competitiveness.

Originality/value
This study is interesting in comparing lean start-up and design thinking, emphasizing the overlaps and benefits of their application to entrepreneurship. This study discusses successful start-up methods by offering suggestions for future research and practice. It also provides a basis for further developing and adopting the integrated approach.
Extended service strategy choice for competing manufacturers in agency retail platform considering consumer preferences
Authors: Liu Bin , Sun Jing , Huang Zongsheng 
Published: April 2024

PurposeWe investigate the extended service strategy choices of competing manufacturers and examine their impact on the retail platform.Design/methodology/approachWe construct a supply chain model with a retail platform as the leader and manufacturers as the followers. Manufacturers face differential consumer preferences on the same agency retail platform, and they can sell a bundled extended service product and sell a separate product without any extended service.FindingsThe sale of extended warranty services on the retail platform leads to lower pricing of the manufacturers' products and changes in the product market structure in response to differences in consumer preferences. The retailing platform tends to provide an extended warranty conditionally. The sale of extended warranty services on a retail platform would be detrimental to the interests of the manufacturer who sells products with extended warranty services and in favor of the manufacturer who sells products without them.Originality/valueThe equilibrium results of the retail platform’s non-sales and sales of extended warranty services for the no-extended warranty product under the same commission rate and differential commission rate models are discussed, and the product structure of the market is investigated, respectively.
Application of deep learning model incorporating domain knowledge in international migration forecasting
Authors: Pu Tongzheng , Huang Chongxing , Zhang Haimo , Yang Jingjing , Huang Ming 
Published: April 2024

PurposeForecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.Design/methodology/approachThis study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.FindingsThe model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R2 values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.Originality/valueThis study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.
Swimming against the current: the positive effects of counter-cultural HR practices on the calculative/collaborative HR practices–firm performance relationship
Authors: Prince Nicholas R. , Prince J. Bruce , Prince Sari N. , Kabst Rüediger 
Published: April 2024

PurposeThis paper investigates the effect of counter-cultural human resources (CCHR) practices on firm performance. Specifically, it investigates the impact of national culture [future orientation (FO), in-group collectivism (I-GC), performance orientation (PO), power distance (PD) and uncertainty avoidance (UA)] on the calculative and collaborative HR practice–firm performance relationship.Design/methodology/approachThis study uses data from the CRANET and GLOBE studies to conduct a multi-level analysis of the impact of national culture on the calculative/collaborative HR–firm performance relationship.FindingsIt finds support for both the CCHR and societal-culture fit (SCF) perspectives of national culture, with FO and I-GC supporting the CCHR perspective and the other culture dimensions aligning more closely with SCF.Originality/valueThese findings empirically validate that CCHR practices can help supplement behaviors lacking in the cultural environment in which organizations operate.
Empowering architecture, engineering and construction students through building information modeling competitions: a deep dive into behavioral motivation
Authors: Ao Yibin , Peng Panyu , Li Mingyang , Li Jiayue , Wang Yan , Martek Igor 
Published: April 2024

PurposeBuilding Information Modeling (BIM) competitions are a beneficial approach to enhance BIM education, offering students practical experience in BIM application, including mastering workflows and technical tools. However, research exploring the individual perceptions influencing participation intentions and behaviors in BIM competitions is limited. Therefore, this study aims to investigate the factors affecting university students' behavioral intention and behavior in BIM competitions, providing theoretical support for BIM competitions and educational reform.Design/methodology/approachThis study employs the Structural Equation Modeling (SEM) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze the factors influencing BIM competition participation among 970 Architecture, Engineering, and Construction (AEC) university students.FindingsThe results of the study show that social influence, attitude, and self-efficacy play critical roles in shaping students' intentions to participate in BIM competitions. Furthermore, self-efficacy, facilitating conditions, and behavioral intention significantly influence students' actual engagement in such competitions. Surprisingly, effort expectancy negatively influences intentions, as less challenging tasks can lead students to perceive their participation as less impactful on their skills and learning, reducing their behavioral intention to participate.Originality/valueThis research provides valuable insights into the effectiveness of BIM competitions in enhancing BIM education for AEC students. Extending the UTAUT model to include self-efficacy and attitude, provides a novel perspective for understanding students' intentions and behaviors regarding BIM competitions. The study’s theoretical support proposes incorporating BIM competitions to augment BIM teaching methods and offers suggestions for advancing the efficacy of students' involvement in BIM competitions within higher education, thus contributing to educational reform in the AEC sector.
Caught in crises: Syrian refugees in Türkiye’s labor market
Authors: Mohammed Umar 
Published: April 2024

Purpose
This study aims to analyze the factors driving Syrian refugees into the informal labor market in Türkiye despite the existence of regulations and programs to facilitate their integration into the formal labor market.

Design/methodology/approach
This study presents results from a literature review of secondary sources and primary data collection through semi-structured interviews with key stakeholders and Syrian refugees.

Findings
The study shows that the implementation of policies and programs to boost formal employment among refugees has yielded limited results. Many refugees continue to operate within the informal economy. This informality is due to various socio-economic challenges, including anti-refugee sentiments, geographical restrictions and economic crises. The 2023 twin earthquakes have further exacerbated the vulnerable situation of refugees, intensifying the difficulty of achieving self-reliance.

Research limitations/implications
The study’s drawbacks include a small sample size. This implies that the sample is not representative; therefore, results may lack generalizability.

Practical implications
The study’s findings could stimulate greater engagement in public policy, facilitate the management of public perceptions regarding refugees and provide support to the private sector, all to enhance the integration of Syrian refugees into the formal labor market.

Originality/value
This study addresses crucial areas previously unexplored, including the impact of economic and natural disaster crises on the labor market integration of refugees. To the best of the author’s knowledge, by investigating these factors for the first time, this study offers novel insights into their influence on refugees’ labor market integration.