bluuebunny/crossref_metadata_2025_split huggingface dataset:
Zebrafish and cellular models ofSELENON-Related Myopathy exhibit novel embryonic and metabolic phenotypes
Authors: Barraza-Flores Pamela , Moghadaszadeh Behzad , Lee Won , Isaac Biju , Sun Liang , Troiano Emily C. , Rockowitz Shira , Sliz Piotr , Beggs Alan H. 
Published: February 2024

ABSTRACTSELENON-Related Myopathy (SELENON-RM) is a rare congenital myopathy caused by mutations of theSELENONgene characterized by axial muscle weakness and progressive respiratory insufficiency. Muscle histopathology commonly includes multiminicores or a dystrophic pattern but is often non-specific. TheSELENONgene encodes selenoprotein N (SelN), a selenocysteine-containing redox enzyme located in the endo/sarcoplasmic reticulum membrane where it colocalizes with mitochondria-associated membranes. However, the molecular mechanism(s) by which SelN deficiency causesSELENON-RM are undetermined. A hurdle is the lack of cellular and animal models that show assayable phenotypes. Here we report deep-phenotyping of SelN-deficient zebrafish and muscle cells. SelN-deficient zebrafish exhibit changes in embryonic muscle function and swimming activity in larvae. Analysis of single cell RNAseq data in a zebrafish embryo-atlas revealed coexpression betweenselenonand genes involved in glutathione redox pathway. SelN-deficient zebrafish and mouse myoblasts exhibit changes in glutathione and redox homeostasis, suggesting a direct relationship with SelN function. We report changes in metabolic function abnormalities in SelN-null myotubes when compared to WT. These results suggest that SelN has functional roles during zebrafish early development and myoblast metabolism.
Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration
Authors: Gomez-Cano Fabio , Rodriguez Jonas , Zhou Peng , Chu Yi-Hsuan , Magnusson Erika , Gomez-Cano Lina , Krishnan Arjun , Springer Nathan M , de Leon Natalia , Grotewold Erich 
Published: February 2024

ABSTRACTElucidating gene regulatory networks is a major area of study within plant systems biology. Phenotypic traits are intricately linked to specific gene expression profiles. These expression patterns arise primarily from regulatory connections between sets of transcription factors (TFs) and their target genes. Here, we integrated 46 co-expression networks, 283 protein-DNA interaction (PDI) assays, and 16 million SNPs used to identify expression quantitative trait loci (eQTL) to construct TF-target networks. In total, we analyzed ∼4.6M interactions to generate four distinct types of TF-target networks: co-expression, PDI,trans-eQTL, andcis-eQTL combined with PDIs. To functionally annotate TFs based on their target genes, we implemented three different network integration strategies. We evaluated the effectiveness of each strategy through TF loss-of function mutant inspection and random network analyses. The multi-network integration allowed us to identify transcriptional regulators of several biological processes. Using the topological properties of the fully integrated network, we identified potential functionally redundant TF paralogs. Our findings retrieved functions previously documented for numerous TFs and revealed novel functions that are crucial for informing the design of future experiments. The approach here-described lays the foundation for the integration of multi-omic datasets in maize and other plant systems.GRAPHICAL ABSTRACT
Temporal Analysis of Pituitary Transcriptional Dynamics in Mice Models of Hypopituitarism During Postnatal Development
Authors: Marques Juliana Moreira , Chang Claudia Veiga , Souza Trigueiro Nicholas Silvestre , Araujo Ricardo Vieira , dos Santos Cerqueira Cinthya , Russo Lilian Cristina , Azevedo Bruna Viscardi , de Mendonca Berenice Bilharinho , Hoch Nicolas , de Carvalho Luciani Renata Silveira 
Published: February 2024

AbstractCongenital hypopituitarism is characterized by deficient pituitary hormone production, affecting growth and development. The molecular mechanisms underlying pituitary development and dysfunction in hypopituitarism remain incompletely understood. We investigated the expression of key pituitary development markers in three mouse models of congenital hypopituitarism, with molecular alterations in theProp1, Pou1f1, andαGSUgenes across critical postnatal developmental stages: neonatal (P0), early postnatal (P7), pubertal (4 weeks), and adult (8 weeks). We assessed mRNA and protein levels of the pituitary stem cell markers (SOX2), proliferation marker (Ki67) and pituitary hormones, correlating these with pituitary function and disease.Prop1deficiency led to significant upregulation ofSox2andHesx1during early postnatal development and in adulthood, diverging from the relatively stable expression patterns observed inPou1f1andαGSUmutants. Despite some variations, overallSox2andKi67expression profiles were similar betweenProp1andPou1f1mutants.Prop1mutants exhibited altered pituitary morphology, with increased SOX2-positive cells suggesting disrupted stem cell migration. During the pubertal period, a subset of hormone-producing cells inProp1mutants co-expressed SOX2, indicating differentiation without restoring normal pituitary function. Hormone analysis revealed transient gonadotropin production and secretion during sexual maturation inProp1mutants, without recovery of the hypogonadal phenotype. Our study elucidates the complex transcriptional dynamics of pituitary development markers in mouse models of congenital hypopituitarism, highlighting the pivotal role ofProp1in regulating stem cell marker expression. The distinct transcriptional responses inProp1mutants during key developmental windows shed light on the mechanisms of pituitary dysgenesis and the persistent inability to fully recover pituitary function, despite transient hormonal changes during puberty. These insights contribute to a better understanding of pituitary development and dysfunction in congenital hypopituitarism.
The spatiotemporal dynamics of bottom-up and top-down processing during at-a-glance reading
Authors: Flower Nigel , Pylkkänen Liina 
Published: February 2024

ABSTRACTLike all domains of cognition, language processing is affected by top-down knowledge. Classic evidence for this is missing blatant errors in the signal. In sentence comprehension, one instance of this is failing to notice word order errors, such as transposed words in the middle of a sentence:you that read wrong(Mirault et al., 2018). Our brains seem to fix such errors, since they are incompatible with our grammatical knowledge. But how do our brains do this? Following behavioral work on inner transpositions, we flashed four-word sentences for 300ms using rapid parallel visual presentation (RPVP, Snell and Grainger, 2017). We compared their magnetoencephalography responses to fully grammatical and reversed sentences. Left lateral language cortex robustly distinguished grammatical and reversed sentences starting at 213ms. Thus, the influence of grammatical knowledge begun rapidly after visual word form recognition (Tarkiainen et al., 1999). At the earliest stage of this neural “sentence superiority effect,” inner transpositions patterned between grammatical and reversed sentences, showing evidence that the brain initially “noticed” the error. However, a hundred millisecond later, the inner transpositions became indistinguishable from the grammatical sentences, suggesting that at this point, the brain had “fixed” the error. These results show that after a single glance at a sentence, syntax impacts our neural activity almost as quickly as higher-level object recognition is assumed to take place (Cichy et al., 2014). The earliest stage involves a detailed comparison between the bottom-up input and grammatical knowledge, while shortly afterwards, knowledge can override an error in the stimulus.
Novel transcriptional activator TAC3 regulates age-dependent floral transition in Chinese fir (Cunninghamia lanceolata)
Authors: Wu Qiyao , Li Jian , Zhu Tengfei , Chang Huang , Wang Xu , Su Jun 
Published: February 2024

AbstractPlant undergo juvenile-to-adult transition to become competent for age-dependent floral induction and reproductive transition, which is of great significance for improving the seed quality and maintaining desirable genetic traits of Chinese fir, but the underlying molecular mechanize still remains unknown. Here, we investigated the function of our newly identified spermatophyte specific transcriptional co-activator TAC3 (Transcriptional Activator in Chinese fir 3) and its homologues (TAL1) in the model plant Arabidopsis. Both TAC3 and TAL1 can negatively regulate flowering, and activate miR156 expression to delay the phase transition. Moreover, we found that HDA9 and its its homologues in Chinese fir, ClHDA9, can directly binding to the promoter region of MIR156A and ClMIR156A, respectively. Directly interaction with ClHDA9 and HDA9 are necessary for the transcriptional activation of TAC3 and TAL1 on miR156, respectively. TAC3 and TAL1 also involve in the chromatin remodeling, shown as up-regulated H3K27ac level within the promoter region of ClMIR156A and MIR156A. Together, this work shows that TAC3 and its homologues are a new group of transcriptional co-activator that involving in aging-dependent flowering signal pathway of both angiosperms and gymnosperms.
Quantum Monte Carlo for gauge fields and matter without the fermion determinant
Authors: Banerjee Debasish , Huffman Emilie 
Published: February 2024

Monte Carlo simulations of strongly interacting fermionic systems are plagued by the fermion sign problem, making the nonperturbative study of many interesting regimes of dense quantum matter, or of theories of odd numbers of fermion flavors, challenging. Moreover, typical fermion algorithms require the computation (or sampling) of the fermion determinant. We focus instead on the meron cluster algorithm, which can solve the fermion sign problem in a class of models without involving the determinant. We develop and benchmark new meron algorithms to simulate fermions coupled to Z2 and U(1) gauge fields in the presence of appropriate four-fermi interactions. Such algorithms can be used to uncover potential exotic properties of matter, particularly relevant for quantum simulator experiments. We demonstrate the emergence of the Gauss’ law at low temperatures for a U(1) model in (1+1)D.

Published by the American Physical Society
2024
Numerical investigation of three-dimensional natural convection heat transfer on corrugated plates of variable height
Authors: Verdério Júnior Sílvio Aparecido , Coelho Pedro J. , Scalon Vicente Luiz 
Published: February 2024

Purpose
The purpose of this study is to numerically investigate the geometric influence of different corrugation profiles (rectangular, trapezoidal and triangular) of varying heights on the flow and the natural convection heat transfer process over isothermal plates.

Design/methodology/approach
This work is an extension and finalization of previous studies of the leading author. The numerical methodology was proposed and experimentally validated in previous studies. Using OpenFOAM® and other free and open-source numerical-computational tools, three-dimensional numerical models were built to simulate the flow and the natural convection heat transfer process over isothermal corrugation plates with variable and constant heights.

Findings
The influence of different geometric arrangements of corrugated plates on the flow and natural convection heat transfer over isothermal plates is investigated. The influence of the height ratio parameter, as well as the resulting concave and convex profiles, on the parameters average Nusselt number, corrected average Nusselt number and convective thermal efficiency gain, is analyzed. It is shown that the total convective heat transfer and the convective thermal efficiency gain increase with the increase of the height ratio. The numerical results confirm previous findings about the predominant effects on the predominant impact of increasing the heat transfer area on the thermal efficiency gain in corrugated surfaces, in contrast to the adverse effects caused on the flow. In corrugations with heights resulting in concave profiles, the geometry with triangular corrugations presented the highest total convection heat transfer, followed by trapezoidal and rectangular. For arrangements with the same area, it was demonstrated that corrugations of constant and variable height are approximately equivalent in terms of natural convection heat transfer.

Practical implications
The results allowed a better understanding of the flow characteristics and the natural convection heat transfer process over isothermal plates with corrugations of variable height. The advantages of the surfaces studied in terms of increasing convective thermal efficiency were demonstrated, with the potential to be used in cooling systems exclusively by natural convection (or with reduced dependence on forced convection cooling systems), including in technological applications of microelectronics, robotics, internet of things (IoT), artificial intelligence, information technology, industry 4.0, etc.

Originality/value
To the best of the authors’ knowledge, the results presented are new in the scientific literature. Unlike previous studies conducted by the leading author, this analysis specifically analyzed the natural convection phenomenon over plates with variable-height corrugations. The obtained results will contribute to projects to improve and optimize natural convection cooling systems.
Adopting the metaverse in the luxury hotel business: a cost–benefit perspective
Authors: Zaman Mustafeed , Hasan Prof Rajibul , Vo-Thanh Tan , Shams Riad , Rahman Mizan , Jasim K. Mohamed 
Published: February 2024

Purpose
This study aims to examine the perceived values of the metaverse when adopting it in the luxury hospitality business. Based on the cost–benefit perspective, this research provides solid theoretical contributions and actionable managerial recommendations.

Design/methodology/approach
An exploratory sequential mixed-method design was used. For the qualitative phase, 21 hotel managers and 24 hotel guests (who often stay in four-star and five-star hotels and resorts) were interviewed after showing them a series of videos about using the metaverse in the hotel business. Based on the results of the qualitative phase, the analytic hierarchy process method was used, and 476 valid questionnaires were analyzed.

Findings
The results highlight the perceived benefits (personalized services, immersive experience and positive brand image) and costs (lack of human touch, time and effort and security and privacy) of metaverse adoption for hotel managers and their guests. In addition, the study determines the weight of each value attribute of metaverse adoption for each travel stage (pre-travel, during travel and post-travel).

Practical implications
Regarding metaverse adoption, the research offers practical suggestions for luxury hotels. For instance, the cost of equipment and the time and effort required are perceived costs of metaverse adoption. To address these challenges, hotels may offer free equipment (e.g. VR headsets) and training to their guests to stimulate the use of the metaverse.

Originality/value
This study addresses a gap in the literature by presenting a conceptual framework for examining metaverse adoption in the luxury hotel scenario. Unlike using conventional models like the technology acceptance model or the unified theory of acceptance and use of technology to investigate a technology’s adoption, this study stands out by unraveling the topic through the lens of value proposition. The latter often comes from an efficient value co-creation process, which is indeed shaped by an adequate appreciation of the congruence of perceived values (i.e. perceived benefits and costs) of metaverse from hotel manager and guest perspectives.
The impact of corporate social responsibility on firm financial performance: does corporate governance matter?
Authors: Gharbi Manel , Jarboui Anis 
Published: February 2024

Purpose
This study investigated how corporate social responsibility (CSR) impacts financial performance (FP) and examined the moderated role of corporate governance (CG). In particular, this paper aims to empirically examine the impact of CG on the relationship between CSR and FP.

Design/methodology/approach
This study was based on a sample of 200 firms over 2010/2021. The direct and moderating effects were tested by using multiple regression techniques.

Findings
The empirical findings indicated that companies with higher levels of CSR reporting invested more effectively than companies with lower CSR reporting levels. The empirical analysis suggested two main findings: CSR has a significant effect on FP, and this relationship depends on CG practices. This research presents new evidence that improves the discussion around CSR involvement and FP in French firms. Then, this research shows that CG positively moderates the impact of CSR on corporate FP.

Originality/value
These findings may be of interest to academic researchers, practitioners and regulators interested in discovering dividend policies, FP and CSR. The findings may interest different stakeholders, policymakers and regulatory bodies interested in enhancing CG initiatives to strengthen CSR because it suggests implementing a broadly accepted framework of good CG practices to meet the demand for greater transparency and accountability.
Green human resource management and green performance in the wine industry: the mediating role of employee well-being
Authors: Martínez Falcó Javier , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Millán-Tudela Luis A 
Published: February 2024

Purpose
This study aims to focus on analysing the impact of green human resource management (GHRM) on the green performance (GP) of Spanish wineries, as well as the mediating effect of employee well-being (EW) on this linkage. In addition, age, size and membership in a protected designation of origin are introduced as control variables to increase the precision of the cause-effect relationships examined.

Design/methodology/approach
The study proposes a conceptual model based on previous studies, which is tested using structural equations partial least squares structural equation modelling with data collected from 196 Spanish wineries between September 2022 and January 2023.

Findings
The findings of the research reveal the existence of a positive and significant relationship between the GHRM development and the GP of Spanish wineries, as well as the partial mediation of EW in this association.

Originality/value
The uniqueness and significance of this study can be attributed to several crucial factors. First, it enhances the understanding and knowledge regarding the advantages associated with GHRM development. Second, no prior research has conducted a comprehensive study on GHRM as a catalyst for GP within the context of Spanish wineries. Third, to the best of the authors’ knowledge, no previous study has analyzed the mediating role of EW as a mediator in the relationship between GHRM and GP of wineries.
A method for modifying octagonal Goodman–Smith fatigue limit diagram
Authors: Tang Yuhan , Wang Yuedong , Liu Jiayu , Tian Boya , Dong Qi , He Ziwei , Wen Jiayi 
Published: February 2024

PurposeIn order to extend the application of the original octagonal Goodman–Smith fatigue limit diagram, which is commonly used for the evaluation of structure fatigue stress in engineering, a modification of it is proposed for the structure made of S355 steel (commonly used in high-speed electric multiple units (EMUs) bogie frame).Design/methodology/approachThe modification is made based on Deutscher Verband für Schweißen und verwandte Verfahren e. V. (DVS) 1612 standard and the γ-P-S-N curve, with consideration of the fatigue evaluation requirements of different survival rates and confidence levels. The verification of the modification is performed for three welded joints and for the comparison with the experimental data.FindingsThe results indicate that the design survival rate, the design safety margin and the fatigue stress evaluation of welded joint types are all improved by using the modified diagram.Originality/valueThere are relatively few studies on modifying octagonal Goodman–Smith fatigue limit diagram. In this paper, a modified diagram is proposed and applied in order to ensure the safety and durability of key welded structures of rail vehicles.
Antecedents and consequences of physical environment design in international retail stores
Authors: Khaneja Suyash , Hussain Shahzeb 
Published: February 2024

PurposeThe purpose of this paper is to examine the effects of physical environment design (PED) and its antecedents on consumers’ emotional well-being (EWB). Drawing on place identity and emotional theories, the study aims to provide a new perspective to retail store experiences.Design/methodology/approachA survey of 800 respondents was conducted in London, out of which 764 responses were constructively used. The data was collected from international retail outlets, and structural equation modelling was used to analyse the data.FindingsThe empirical results show that PED has a positive effect on consumers’ EWB. Among the antecedents, visual identity does not have any significant effect on PED and EWB. In contrast, communication had a significant effect on PED but did not have any effect on EWB, and further, cultural heritage had a positive effect on both PED and EWB. Further, moderator analysis identifies the boundary conditions under which specific theories hold.Practical implicationsThe value of this paper lies in its potential to be used for creating the perfect design planning in retail stores. Significant implications for managers and researchers are highlighted.Originality/valueThis paper presents an innovative approach to develop the principles of retail store’s PED to support the EWB of consumers.
The relationship between dividend policy and earnings management: a causality analysis
Authors: Ben Salah Olfa , Jarboui Anis 
Published: February 2024

PurposeThe objective of this paper is to investigate the direction of the causal relationship between dividend policy (DP) and earnings management (EM).Design/methodology/approachThis research utilizes the panel data analysis to investigate the causal relationship between EM and DP. It provides empirical insights based on a sample of 280 French nonfinancial companies listed on the CAC All-Tradable index during the period of 2008–2015. The study initiates with a Granger causality examination on the unbalanced panel data and employs a dynamic panel approach with the generalized method of moments (GMM). It further estimates the empirical models simultaneously using the three-stage least squares (3SLS) method and the iterative triple least squares (iterative 3SLS) method.FindingsThe estimation of our various empirical models confirms the presence of a bidirectional causal relationship between DP and EM.Practical implicationsOur study highlights the prevalence of EM in the French context, particularly within DP. It underscores the need for regulatory bodies, the Ministry of Finance, external auditors and stock exchange organizers to prioritize governance mechanisms for improving the quality of financial information disclosed by companies.Originality/valueThis research is, to the best of our knowledge, the first is to extensively investigate the reciprocal causal relationship between DP and EM in France. Previous studies have not placed a significant emphasis on exploring this bidirectional link between these two variables.