bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling
Authors: Saberi Amin , Wischnewski Kevin J. , Jung Kyesam , Lotter Leon D. , Schaare H. Lina , Banaschewski Tobias , Barker Gareth J. , Bokde Arun L.W. , Desrivières Sylvane , Flor Herta , Grigis Antoine , Garavan Hugh , Gowland Penny , Heinz Andreas , Brühl Rüdiger , Martinot Jean-Luc , Paillère Martinot Marie-Laure , Artiges Eric , Nees Frauke , Papadopoulos Orfanos Dimitri , Lemaitre Herve , Poustka Luise , Hohmann Sarah , Holz Nathalie , Baeuchl Christian , Smolka Michael N. , Vaidya Nilakshi , Walter Henrik , Whelan Robert , Schumann Gunter ,   IMAGEN Consortium, Paus Tomáš , Dukart Juergen , Bernhardt Boris C. , Popovych Oleksandr V. , Eickhoff Simon B. , Valk Sofie L. 
Published: June 2024

SummaryThe balance of excitation and inhibition is a key functional property of cortical microcircuits which changes through the lifespan. Adolescence is considered a crucial period for the maturation of excitation-inhibition balance. This has been primarily observed in animal studies, yet humanin vivoevidence on adolescent maturation of the excitation-inhibition balance at the individual level is limited. Here, we developed an individualizedin vivomarker of regional excitation-inhibition balance in human adolescents, estimated using large-scale simulations of biophysical network models fitted to resting-state functional magnetic resonance imaging data from two independent cross-sectional (N = 752) and longitudinal (N = 149) cohorts. We found a widespread relative increase of inhibition in association cortices paralleled by a relative age-related increase of excitation, or lack of change, in sensorimotor areas across both datasets. This developmental pattern co-aligned with multiscale markers of sensorimotor-association differentiation. The spatial pattern of excitation-inhibition development in adolescence was robust to inter-individual variability of structural connectomes and modeling configurations. Notably, we found that alternative simulation-based markers of excitation-inhibition balance show a variable sensitivity to maturational change. Taken together, our study highlights an increase of inhibition during adolescence in association areas using cross sectional and longitudinal data, and provides a robust computational framework to estimate microcircuit maturationin vivoat the individual level.
ZFHX3 plays a role in pain and cautious-like behaviours in mice
Authors: Nolan PM , Gettings SM , Hillier R , Bourbia N 
Published: June 2024

AbstractA missense mutation in zinc finger homeobox-3 (ZFHX3) gene is known to alter circadian rhythms and metabolism. ZFHX3 is highly expressed in the central nucleus of amygdala and so we investigated whether female and male Zfhx3Sci-/+mice have impaired pain, fear, anxiety-like, and cautious-like behaviours as these behaviours which are associated with the central nucleus of the amygdala. Using mechanical and thermal sensitivity test, the fear conditioning test and the light-dark box test, we found that female Zfhx3Sci-/+mice have hypoalgesia to mechanical stimulus while hyperalgesia to heat stimulus. Additionally, both female and male Zfhx3Sci-/+display reduction of cautious-like behaviour. While neither female and male Zfhx3Sci-/+mice showed a difference in fear conditioning or anxiety-like behaviour, we have demonstrated for the first time that ZFHX3 is involved in pain and cautious behaviours.HighlightsFemale and male Zfhx3Sci/+mice displayed less cautious-like behaviourZfhx3Sci/+female mice had hypoalgesia to noxious mechanical stimulusZfhx3Sci/+female mice had hyperalgesia to noxious heat stimulus
Activation of NLRP3 inflammasome/pyroptosis by protease inhibitor atazanavir at high concentrations is mediated through mitochondrial dysfunction
Authors: Zhou Lei , Cosme Moises , Li Min , Eduafo Velma , Jnr Dereck Amakye , Paintsil Elijah 
Published: June 2024

AbstractProtease inhibitor (PI)-based antiretroviral therapy increases CD4 and CD8 cell counts through anti-apoptosis mechanism. However, there are emerging reports that PIs could have pro-apoptotic effects; thus, PIs may have biphasic effect on apoptosis. We hypothesized that PI-induced apoptosis may be mediated through PI-induced mitochondrial dysfunction resulting in increased production of reactive oxygen species (ROS).To test this hypothesis, we used human T lymphoblastoid cell line (CEM) cultured with increasing concentrations of atazanavir (ATV). We assessed mitochondrial function—i.e., cell growth, apoptosis, mitochondrial membrane potential (ΔΨ), ROS, and electron transport chain (ETC) proteins. Apoptosis pathway genes were interrogated using the Human Apoptosis RT² Profiler PCR Array kit (QIAGEN), followed by quantitative PCR for validation.CEM cells treated with 15, 22.5, and 30 µM of ATV resulted in significant reduction in cell growth and increased apoptosis. Further, high concentrations of ATV resulted in decreased mitochondrial ΔΨ, increased ROS production, and decreased protein expression of ETC I, II, III, and V. The following apoptosis pathway genes—caspase-1, BCL2A1, TP73 and TNFRSF1B—were differentially expressed. Caspase-1 is known to play a role in inducing NLRP3 inflammasome/pyroptosis pathway. We validated this with qPCR of the genes in the NLRP3 inflammasome pathway. Of note, NLRP3 inhibitor MCC950 and caspase-1 inhibitor YVAD reversed mitochondrial dysfunction and cell death. Our findings suggest that ATV-induced cell death is through the NLRP3 inflammasome/pyroptosis pathway. ATV-induced mitochondrial dysfunction plays an important role in the regulation of ATV-activated NLRP3 inflammasome pathway.
Biological and technical variability in mouse microbiome analysis and implications for sample size determination
Authors: McAdams Zachary , Gustafson Kevin , Ericsson Aaron 
Published: June 2024

AbstractBackgroundThe gut microbiome (GM) affects host growth and development, behavior, and disease susceptibility. Biomedical research investigating the mechanisms by which the GM influences host phenotypes often involves collecting single fecal samples from laboratory mice. Many environmental factors can affect the composition of the GM in mice and while efforts are made to minimize these sources of variation, biological variation at the cage or individual mouse level and technical variation from 16S rRNA library preparation exist and may influence microbiome outcomes. Here we employed a hierarchical fecal sampling strategy to 1) quantify the effect size of biological and technical variation and 2) provide practical guidance for the development of microbiome studies involving laboratory mice.ResultsWe found that while biological and technical sources of variation contribute significant variability to microbiome alpha and beta diversity outcomes but their effect size is 3- to 30-times lower than that of the experimental variable in the context of an experimental group with high intergroup variability. After quantifying variability of alpha diversity metrics at the technical and biological levels, we then simulated whether sequencing multiple fecal samples from individual mice could improve effect size in a two-group experimental design. Collecting five fecal samples per mouse increased effect size achieving the maximum 5% reduction in the required number of animals per group. While reducing the number of animals required, sequencing costs were dramatically increased.ConclusionsOur data suggest that the effect size of biological and technical factors may contribute appreciable variability to an experimental paradigm with relatively low mean differences. Additionally, repeated sampling improves statistical power however, its application is likely impractical given the increased sequencing costs.
Chronic Social Defeat Stress Gives Rise to Social Avoidance Through Fear Learning
Authors: Lee Jinah , Aubry Antonio , Hanif Sadiyah , Grunfeld Itamar , Likhtik Ekaterina , Burghardt Nesha S. 
Published: June 2024

AbstractChronic social defeat stress (CSDS), a widely used rodent model of stress, reliably leads to decreased social interaction in stress susceptible animals. Here, we investigate a role for fear learning in this response using 129Sv/Ev mice, a strain that is more vulnerable to CSDS than the commonly used C57BL/6 strain. We first demonstrate that defeated 129Sv/Ev mice avoid a CD-1 mouse, but not a conspecific, indicating that motivation to socialize is intact in this strain. CD-1 avoidance is characterized by approach behavior that results in running in the opposite direction, activity that is consistent with a threat response. We next test whether CD-1 avoidance is subject to the same behavioral changes found in traditional models of Pavlovian fear conditioning. We find that associative learning occurs across 10 days CSDS, with defeated mice learning to associate the color of the CD-1 coat with threat. This leads to the gradual acquisition of avoidance behavior, a conditioned response that can be extinguished with 7 days of repeated social interaction testing (5 tests/day). Pairing a CD-1 with a tone leads to second-order conditioning, resulting in avoidance of an enclosure without a social target. Finally, we show that social interaction with a conspecific is a highly variable response in defeated mice that may reflect individual differences in generalization of fear to other social targets. Our data indicate that fear conditioning to a social target is a key component of CSDS, implicating the involvement of fear circuits in social avoidance.
Os-circANK negatively regulates resistance to bacterial blight in rice via Osa-miR398b/OsCSD1/OsCSD2 pathways
Authors: Liu Xiaohui , Wang Peihong , Wang Sai , Liao Weixue , Ouyang Mingyan , Lin Sisi , Lin Rongpeng , Sarris Panagiotis F. , Michalopoulou Vasiliki , Feng Xurui , Zhang Zinan , Xu Zhengyin , Chen Gongyou , Zhu Bo 
Published: June 2024

AbstractCircRNAs are widely present in plants, yet there have been no reports on the role of circRNA in the regulatory mechanisms of interactions between rice and pathogenic bacteria. As the sequence of circRNAs matches the parent gene except for the back splicing site, there is no feasible way to specifically knockdown circRNAs in plants. We identified a circRNA, named Os-circANK, derived from an ankyrin repeat protein, which was significantly downregulated postXanthomonas oryzaepv.oryzae(Xoo) inoculation. We have created a CRISPR-Cas13d system to specifically knockdown a plant circular RNA, resulting in genetically edited rice with a targeted decrease in Os-circANK expression. Os-circANK was found to function as a sponge for Osa-miR398b, suppressing the cleavage ofOsCSD1/OsCSD2by Osa-miR398b, leading to a reduction in ROS levels followingXooinfection and a negative regulation of resistance to bacterial blight in rice. Our findings demonstrate that Os-circANK inhibits the resistance to bacterial blight in rice via the Osa-miR398b/OsCSD1/OsCSD2 pathways.
Structure-function relationship of PE11 esterase ofMycobacterium tuberculosiswith respect to its role in virulence
Authors: Dahiya Priyanka , Banerjee Amit , Saha Abhishek , Nandicoori Vinay Kumar , Ghosh Sudip , Mukhopadhyay Sangita 
Published: June 2024

AbstractThe lipolytic enzymes ofMycobacterium tuberculosisplay a critical role in immunomodulation and virulence. Among these proteins, PE11 which also belongs to the PE/PPE family, is the smallest (∼10.8 kDa) and play a significant role in cell wall remodelling and virulence. PE11 is established to be an esterase, but its enzymatic and structural properties are not yet characterized. In this study, using homology modelling we deduced the putative structure which shows the presence of both α-helix and β-sheet structures which is in close agreement with that observed by CD spectra of the purified protein. PE11 was found to contain a GX3SX4G motif homologous to canonical ‘GxSxG’ motif present in many serin hydrolases. The catalytic triad appears to be located within this motif as substitution of Serine26and Glycine31residues abrogated its enzymatic activity. Gel-filtration chromatography data indicate that PE11 possibly exists as dimer and tetramer showing positive cooperativity for binding its substrates. In addition, PE11 esterase activity was found to be critical for cell wall remodelling, antibiotic resistance and conferring survival advantages toM. tuberculosis. Our data suggest that PE11 can be targeted for designing potential therapeutic strategies.
Consumer willingness to buy and pay for dog-human companionship: a combination of SEM and NCA approaches
Authors: Rishi Bikramjit , Shiva Atul , Israney Ritika Sharma 
Published: June 2024

PurposeThe phenomenal growth in dog ownership, dog-related products and services consumption, and the development of the pet industry emphasizes the need for a deeper understanding of dog-human companionship. This study explored different dimensions of willingness to buy and pay for dog-human companionship.Design/methodology/approachThe study was conducted among dog owners (N = 337). The data was collected from the dog owners through an adapted questionnaire. Variance-based Partial Least Square Structural Equation Modeling (PLS-SEM) was applied to understand the relationship among the variables under study.FindingsThe results of the data analysis revealed that specialty purchases and activity/youth had a significant association with willingness to pay for dog companionship. However, boundaries predict the willingness to buy products and services related to dogs. In addition, there was a significant difference between males and females regarding buying intentions, wherein females were willing to buy dog products in the Indian context.Originality/valueThis study provides significant dimensions of willingness to buy and pay for the pet industry. The results of this study can help managers draft marketing strategies to influence dog owners.
Can transformers transform financial forecasting?
Authors: Souto Hugo Gobato , Moradi Amir 
Published: June 2024

PurposeThis study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations of these models in handling temporal information in financial time series.Design/methodology/approachEmploying a robust methodological framework, the study systematically compares a range of Transformer models, including first-generation and advanced iterations like Informer, Autoformer, and PatchTST, against benchmark models (HAR, NBEATSx, NHITS, and TimesNet). The evaluation encompasses 80 different stocks, four error metrics, four statistical tests, and three robustness tests designed to reflect diverse market conditions and data availability scenarios.FindingsThe research uncovers that while first-generation Transformer models, like TFT, underperform in financial forecasting, second-generation models like Informer, Autoformer, and PatchTST demonstrate remarkable efficacy, especially in scenarios characterized by limited historical data and market volatility. The study also highlights the nuanced performance of these models across different forecasting horizons and error metrics, showcasing their potential as robust tools in financial forecasting, which contradicts the findings of Zeng et al. (2023)Originality/valueThis paper contributes to the financial forecasting literature by providing a comprehensive analysis of the applicability of Transformer-based models in this domain. It offers new insights into the capabilities of these models, especially their adaptability to different market conditions and forecasting requirements, challenging the existing skepticism created by Zeng et al. (2023) about their utility in financial forecasting.
Does corporate digitalization improve disclosure quality?
Authors: Hu Mingzhi , Su Yinxin , Yu Xiaofen 
Published: June 2024

PurposeThis study investigates the potential association between corporate digitization and disclosure quality, and how this relationship is moderated by non-state ownership and institutional environment.Design/methodology/approachDrawing on signaling theory and factors that affect disclosure quality, the authors developed a framework to study how corporate digitization is associated with disclosure quality. The proposed framework was empirically tested using a comprehensive analysis that integrated corporate-level data on digitalization, disclosure quality, and ownership structure, with regional-level data on the institutional environment. The authors employed linear panel regression models with fixed effects.FindingsThe authors found that corporate digitization is significantly and positively associated with higher disclosure quality. This positive association is particularly pronounced for non-state-owned enterprises compared to state-owned enterprises. Additionally, an improvement in the institutional environment strengthens the positive relationship between digitization and disclosure quality.Originality/valueThis work contributes to the literature on corporate digitization by empirically investigating its impact on disclosure quality. The study also extends previous research by considering the moderating roles of ownership structure and institutional environment on the digitization-disclosure quality relationship.
Efficiency and intrinsic quality in healthcare: blending radial and non-radial measures of efficiency with a flashpoint of long-term health policy
Authors: Cinaroglu Songul 
Published: June 2024

PurposeEfficiency and quality are primary factors for the survival of health systems. The evaluation of the efficiency of the healthcare system is a crucial component of promoting long-term health policy actions. Healthcare capacity indicators provide a basis for evaluating and comparing the performance of different healthcare organizations. Intrinsic quality indicators are Donabedian (1980)’s structural and process elements of quality of healthcare. This study aims to integrate capacity and intrinsic quality indicators of healthcare while measuring the efficiency of provinces by using radial and non-radial efficiency measurement techniques.Design/methodology/approachEfficiency analysis performed in Turkey from 2015 to 2020 by performing input-oriented radial, nonradial, and super-efficiency estimates for 81 provinces of Turkey by incorporating capacity and intrinsic quality indicators into the different model specifications.FindingsRadial and nonradial efficiency results have an increasing trend over the study years obtained from the efficiency models showing high average scores obtained from the models that include intrinsic quality of care indicators. Statistically significant mean rank differences are observed between different radial efficiency models for all study years (p < 0.001). Negative and moderate level correlations were observed between radial efficiency results and quality of care indicators (r < 0.70).Originality/valueUnder long-term centralized health policies, increases in efficiency result in decreased intrinsic quality of care indicators. A better synthesis of health system capacity and intrinsic healthcare quality indicators is necessary to generate evidence-based health systems.
How internal listening inspires remote employee engagement: examining the mediating effects of perceived organizational support and affective organizational commitment
Authors: Qin Yufan Sunny 
Published: June 2024

PurposeEven though remote work has been around for years and COVID-19 has rapidly increased its prevalence among organizations, research on remote employee engagement is limited. Informed by social exchange theory and social support theory, the purpose of the current study is to examine how internal listening, including both organizational and supervisory listening, influences remote employee engagement and the mediating role of remote employees perceived organizational supportiveness and affective organizational commitment.Design/methodology/approachUsing survey as the research method, the study recruited full-time employees who fully work remotely in the United States of America. The data were collected in early December 2021, and a total of 527 complete and valid responses were used for data analysis. Structural equation modeling (SEM) was used to test the study hypotheses.FindingsThe results showed that both organizational and supervisory listening had an indirect effect on remote employee engagement by strengthening their perceived organizational support and affective organizational commitment. Both organizational listening and supervisory listening could make remote employees feel they are supported by the organization. However, only supervisory listening had a significant direct impact on remote employees' affective commitment to the organization.Originality/valueThis study is among the first that examines the importance of listening in motivating employee engagement in the context of remote work. The findings showcase the communication functions, from the aspect of organizational and leadership listening, in inspiring the remote workforce. Moreover, this study contributes to the understanding of listening as a pivotal force in driving employees' positive emotional and relational outcomes when they work remotely.
Developing artificial intelligence enabled Marketing 4.0 framework: an Industry 4.0 perspective
Authors: Mukhopadhyay Shameek , Singh Rohit Kumar , Jain Tinu 
Published: June 2024

Purpose
The paper aims to analyze the potential of artificial intelligence (AI) in enhancing marketing capabilities for Indian fast-moving consumer goods (FMCG) firms, with appropriate emphasis on dynamic capabilities (DC). By integrating AI into their operations, companies can enhance diverse marketing practices, leading to improved efficiency and effectiveness. In addition, the study offers valuable insights and guidance for effectively implementing AI in marketing strategies.

Design/methodology/approach
In-depth interviews of 26 seasoned professionals from various positions in the Indian FMCG sector were conducted for the study. A systematic approach of coding that includes open, axial and selective coding was made to recognize the themes that represent AI-enabled marketing practices. This approach ensured that the themes were precisely identified and comprehensively analyzed. Interviews followed by a rigorous coding process provide valuable insights into the practical implementation of AI-enabled marketing practices for the Indian FMCG industry.

Findings
The study’s results underscore the importance of AI in enhancing marketing practices for FMCG firms, particularly in four critical areas: personalization, consumer engagement, marketing automation and strategic goals. By adopting AI in these areas, Indian FMCG firms can significantly enhance their marketing capabilities, increasing efficiency, effectiveness and gaining a competitive advantage.

Research limitations/implications
The study uses qualitative data analysis to explain how DC through AI technologies can enhance digital marketing practices for Indian FMCG organizations. Furthermore, the study provides valuable insights into how AI technologies can improve marketing capabilities and emphasizes the importance of DC. The study also proposes a framework for AI-enabled Marketing 4.0 that can guide FMCG firms seeking to leverage AI technologies to enhance their marketing practices.

Originality/value
This study outlines the potential for enhancing marketing practices by adapting AI in the Marketing 4.0 environment for Indian FMCG companies, highlighting the importance of DC in achieving this goal.