bluuebunny/crossref_metadata_2025_split huggingface dataset:
Description of the structural and functional genomic composition ofL. santarosaiserovar Alice
Authors: Villarreal-Julio Rafael Guillermo , Montes Valeria Isabel Manjarrez , Perez Brayan Estiven Ordoñez , Yepes-Blandón Jonny Andrés 
Published: August 2024

SummaryIn Colombia, pathogenic knowledge of endemicLeptospiraspecies is limited.Leptospirasantarosai serogroup Autumnalis serovar Alice Strain JET was isolated from a patient from Urabá Antioquia, so it is necessary to know more about its genomic components and pathogenomics. A comparative analysis of the bacterial genome was carried out by computational biology. Complete information for analysis was obtained fromhttps://www.ncbi.nlm.nih.gov/fromwhere the complete genome sequences of 67 species of the genusLeptospiraspp were accessed. The genome of the Colombian strain consists of a major chromosome (chromosome I) and the minor chromosome (chromosome II), which add up to a total of 4.13 Mb. The chromosomes have a G+C percentage of 41.6% three genes for ribosomal RNA distributed 1 for the 23s subunit, 1 for the 16s subunit and 1 for the 5s subunit, 6 for other types of RNA and 37 transfer RNA genes. Two chromosomal pseudomolecules were inferred for the Colombian strain, assigning proteins 3,796 and 318 to chromosomes I and II respectively. Genomic identity analysis resulted in a nucleotide identity of 92.95% and a high degree of synteny between chromosomes. 53 and 68 exclusive proteins were identified for serovar Shermani and the Colombian strain respectively. Of the 68 proteins, most are hypothetical, however, nine transposases, two integrases and one membrane protein were identified. The Colombian strain shares orthologous proteins with members of the different subgroups of species that range between 3,286-2,600 with pathogenic species, 2,416-2,296 intermediate species and 1,972-1,864 saprophytic species and 40.98% of the proteins present in the genome of The Colombian strain has a high percentage of identity with the proteins of the main pathogenic speciesL. interrogans(80-100% similarity), which demonstrates a strong genetic relationship between the Colombian strain and the pathogenic subgroup. For the Colombian strain, it was found to contain CRISPR/Cas repeats and 9 families of class 1, type I and subtype IA and IE were located where each of these subtypes contained 8 cas genes; In addition, 25 proteins were found involved in the de novo biosynthesis of vitamin B12. In the Colombian strain, three species of different phage structures were found that could facilitate infection and subsequent colonization in the host. Therefore, the objective is to describe the structural and functional genomic composition ofL. santarosaiserovar Alice. The genomic characteristics evidenced are basic in the knowledge of the bacterial mechanisms, the evolutionary, phylogenetic and pathogenic analysis ofLeptospiraspp that affects the population of Colombian endemic areas.
Correlation and Matching Representations of Binocular Disparity across the Human Visual Cortex
Authors: Wundari Bayu Gautama , Fujita Ichiro , Ban Hiroshi 
Published: August 2024

AbstractSeeing three-dimensional objects requires multiple stages of representational transformation, beginning in the primary visual cortex (V1). Here, neurons compute binocular disparity from the left and right retinal inputs through a mechanism similar to local cross-correlation. However, correlation-based representation is ambiguous because it is sensitive to disparities in both similar and dissimilar features between the eyes. Along the visual pathways, the representation transforms to a cross-matching basis, eliminating responses to falsely matched disparities. We investigated this transformation across the human visual areas using functional magnetic resonance imaging (fMRI) and computational modeling. By fitting a linear weighted sum of cross-correlation and cross-matching model representations to the brain’s representational structure of disparity, we found that areas V1-V3 exhibited stronger cross-correlation components, V3A/B, V7, and hV4 were slightly inclined towards cross-matching, and hMT+ was strongly engaged in cross-matching. To explore the underlying mechanism, we identified a deep neural network optimized for estimating disparity in natural scenes that matched human depth judgment in the random-dot stereograms used in the fMRI experiments. Despite not being constrained to match fMRI data, the network units’ responses progressed from cross-correlation to cross-matching across layers. Activation maximization analysis on the network suggests that the transformation incorporates three phases, each emphasizing different aspects of binocular similarity and dissimilarity for depth extraction. Our findings suggest a systematic distribution of both components throughout the visual cortex, with cross-matching playing a greater role in areas anterior to V3, and that the transformation exploits responses to false matches rather than discarding them.Significant StatementHumans perceive the visual world in 3D by exploiting binocular disparity. To achieve this, the brain transforms neural representation from the cross-correlation of signals from both eyes into a cross-matching representation, filtering out responses to disparities from falsely matched features. The location and mechanism of this transformation in the human brain are unclear. Using fMRI, we demonstrated that both representations were systematically distributed across the visual cortex, with cross-matching exerting a stronger effect in cortical areas anterior to V3. A neural network optimized for disparity estimation in natural scenes replicated human depth judgment in various stereograms and exhibited a similar transformation. The transformation from correlation to matching representation may be driven by performance optimization for depth extraction in natural environments.
Systemic identification of functionally conserved lncRNA metabolic regulators in human and mouse livers
Authors: Jiang Chengfei , Li Zhe , Li Ping , Ma Yonghe , Seok Sunmi , Podguski Stephanie K. , Moturi Shria , Yoneda Nao , Kawai Kenji , Uehara Shotaro , Ohnishi Yasuyuki , Suemizu Hiroshi , Zhang Jinwei , Cao Haiming 
Published: August 2024

AbstractBACKGROUND & AIMSUnlike protein-coding genes, the majority of human long non-coding RNAs (lncRNAs) lack conservation based on their sequences, posing a challenge for investigating their role in a pathophysiological context for clinical translation. This study explores the hypothesis that non-conserved lncRNAs in human and mouse livers may share similar metabolic functions, giving rise to functionally conserved lncRNA metabolic regulators (fcLMRs).METHODSWe developed a sequence-independent strategy to select putative fcLMRs, and performed extensive analysis to determine the functional similarities of putative human and mouse LMR pairs (h/mLMRs).RESULTSWe found that several pairs of putative fcLMRs share similar functions in regulating gene expression. We further demonstrated that a pair of fcLMRs, h/mLMR1, robustly regulated triglyceride levels by modulating the expression of a similar set of lipogenic genes. Mechanistically, h/mLMR1 binds to PABPC1, a regulator of protein translation, via short motifs on either lncRNA with divergent sequences but similar structures. This interaction inhibits protein translation, activating an amino acid-mTOR-SREBP1 axis to regulate lipogenic gene expression. Intriguingly, PABPC1-binding motifs on each lncRNA fully rescued the functions of their corresponding LMRs in the opposite species. Given the elevated expression of h/mLMR1 in humans and mice with hepatic steatosis, the PABPC1-binding motif on hLMR1 emerges as a potential non-conserved human drug target whose functions can be fully validated in a physiologically relevant setting before clinical studies.CONCLUSIONSOur study supports that fcLMRs represent a novel and prevalent biological phenomenon, and deep phenotyping of genetic mLMR mouse models constitutes a powerful approach to understand the pathophysiological role of lncRNAs in the human liver.
Accurate and cost-efficient whole genome sequencing of hepatitis B virus using Nanopore
Authors: Stenbäck Joakim B. , Schmidt Daniel , Noborg Ulrika , Gustafsson Joel , Norberg Peter , Andersson Maria E. , Fu Michael X , Harvala Heli , Ringlander Johan 
Published: August 2024

AbstractDeep sequencing of the whole hepatitis B virus genome increases the analytical resolution and has the potential to improve molecular epidemiology investigations. The aim of this work was to develop and evaluate the performance of such deep sequencing using the Nanopore technology. The method includes an initial PCR step to generate two overlapping amplicons that cover the whole relaxed circular HBV genome found in circulating viral particles and covalently closed circular DNA in infected hepatocytes, followed by sequencing using the Nanopore rapid barcoding kit that allows parallel analysis of several samples in one reaction. The libraries can be sequenced with the standard Nanopore flow cell on MiniIon or GridIon devices, as well as the Flongle. The performance of the method was evaluated by comparing Nanopore and Sanger sequences or qPCR results from 64 clinical samples. The Nanopore-derived consensus sequences were, on average, 99.9% similar to those from Sanger sequencing and the full HBV genome was determined in samples with HBV DNA levels of approximately 3 log10IU/mL with MagNA pure 96 extraction and < 2 log10IU/mL using a high-volume manual extraction protocol on a subset of samples from patients with very low viral load (1.62-3.74 IU/mL). A perfect agreement with Sanger/qPCR-derived genotype was seen. The cost of sequencing per genome using the Nanopore method is low, ranging 6-37euros. We conclude that whole-genome sequencing of HBV with Nanopore is well suited for genomic characterization, antiviral resistance mutation analysis and genotyping of HBV in a routine laboratory setting.
Toward a flourishing workplace: exploring the impact of digitalization on young construction professionals’ physical–mental well-being
Authors: Batra Sachin , Halder Aritra 
Published: August 2024

PurposeThe construction industry has more propensity to negatively affect employees’ physical–mental well-being due to the inherently intense and demanding nature of the work involved. Digitalization can streamline the construction processes, and reduce stress, overtime and overall job-related pressure generated due to the nature of employment, contributing to the well-being of employees. Hence, the authors examined how digitalization, technostress and individual resilience could contribute to construction professionals’ physical–mental well-being using the transaction model of stress, self-determination theory and job-demand resources theory.Design/methodology/approachData were collected from 86 young professionals using a structured survey. The professionals were working in Indian construction organizations where digitalization is implemented extensively. The survey consists of 21 items to measure four latent variables namely digitalization, technostress, physical–mental well-being and individual resilience. The study employs a partial least squares structural equation modeling (PLS-SEM) approach to examine the theoretical model empirically.FindingsThe results revealed that digitalization was positively associated with physical–mental well-being and negatively associated with technostress. Further, individual resilience was a moderating variable in the relationship between digitalization and technostress. Finally, technostress partially mediated the relationship between digitalization and physical–mental well-being.Originality/valueDigitalization has emerged as a valuable tool to tackle these challenges and improve the overall well-being of construction personnel. In the present study, digitalization is found to augment the physical–mental well-being of young construction professionals. Also, digitalization helps to significantly reduce technostress, thereby improving the physical–mental well-being of young professionals.
Veterans in the workplace: a model of factors affecting veteran transition
Authors: Stone Christopher B. , Neely Andrea R. , Phillips William , Terry Ryan P. 
Published: August 2024

PurposeThe aim of this work is to enhance workplace diversity and inclusion by exploring and addressing unique barriers faced by veterans during their transition from military service to civilian occupations.Design/methodology/approachBuilding on existing expatriate theory, we introduce the Veteran Employment Transition (VET) model. Drawing parallels between veterans and expatriates, the model illustrates key antecedents crucial for a successful transitional adjustment.FindingsThe proposed VET model outlines essential factors contributing to successful veteran transitions. These factors include individual factors such as language skills, job and organization factors such as role clarity and nonwork factors.Research limitations/implicationsThe VET model establishes a foundation for future research on veteran transition and answers the call for theory development in the field.Practical implicationsThe insights derived from the VET model offer practical recommendations for designing interventions and transition support programs tailored to the unique needs of returning veterans.Originality/valueThe contribution of this paper lies in the development of the VET model, offering a novel perspective for understanding and addressing the distinctive challenges faced by returning United States (US) military veterans.
The adoption of innovative urban mobility solutions from the service-dominant logic
Authors: Medina-Molina Cayetano , Rey-Moreno Manuel , Pérez-Macías Noemí 
Published: August 2024

PurposeUrban centers, with their dense populations and evolving mobility patterns, are pivotal in addressing global sustainability challenges. This study focuses on identifying the key elements driving the adoption of sustainable urban mobility innovations, with a renewed emphasis on cycling as a core component.Design/methodology/approachEmploying the Service Dominant Logic framework, this research examines how various conditions associated with the cycling ecosystem influence the adoption or negation of bicycles as a sustainable mode of urban transportation. The study conducts a comprehensive analysis across 60 cities to unravel these dynamics.FindingsThe investigation reveals that five distinct combinations of conditions facilitate the adoption of bicycles, while two specific combinations lead to its negation. Importantly, the study uncovers the presence of a “lock-in” mechanism, a critical factor in hindering bicycle adoption in urban settings.Originality/valueThis research contributes significantly to the field of sustainable urban mobility by integrating Service-Dominant Logic with empirical findings from a diverse set of global cities. It provides valuable insights into the complex interplay of factors influencing cycling adoption, offering a nuanced understanding of the barriers and drivers in this domain. The identification of a “lock-in” mechanism as a key impediment to cycling adoption adds a novel dimension to existing literature, presenting actionable pathways for policymakers and urban planners to foster more sustainable and bike-friendly urban environments.
Understanding Malaysia’s perceived destination image formation through online user-generated content information qualities
Authors: Asyraff Muhammad Aliff , Hanafiah Mohd Hafiz , Md Zain Nur Adilah , Patwary Ataul Karim 
Published: August 2024

Purpose
The purpose of this study is to investigate the mediating effect of perceived destination image attributes on the inter-relationship between online user-generated content’s information qualities (UGC) and tourists behavior by extending the Mehrabian and Russel’s stimulus-organism-response (SOR) model.

Design/methodology/approach
Based on the Malaysian tourism setting, a total of 255 valid responses from foreign inbound tourists were collected. Partial-least square-structural equation modeling (PLS-SEM) was used to test study hypotheses.

Findings
The PLS-SEM indirect path analysis confirms that cognitive image mediates the relationship between intrinsic information quality and behavioral intentions. Meanwhile, affective image significantly mediates the contextual information quality influence on behavioral intentions. Interestingly, however, this study found affective image mediated oppositely on the relationship between social information quality and behavioral intentions.

Originality/value
The study provides a better understanding of how destination image impacts the way tourists perceive different information qualities on behavioral intentions, which suggests the ongoing complex nature of these human-technology relationships within the tourism realm.
Informal employment and subjective well-being in urban China: do employment sector and working time flexibility matter?
Authors: Wang Muwen 
Published: August 2024

PurposeThis paper tests if there exists a subjective well-being gap between informal workers in the informal and formal sectors in urban China, and explores the mechanisms behind such differences.Design/methodology/approachThe author develops a simple theoretical model to analyze the effects of the employment sector and work time flexibility on workers' happiness and conducts a descriptive study to examine the relationship between employment type and subjective well-being using the China General Social Survey (CGSS) 2010, 2013, 2015 and 2017 datasets, a nationally representative sample.FindingsThe results show that only dependent informal work in the formal sector impairs workers' happiness, while the effect of independent informal work is not statistically significant. The potential mechanisms suggest that independent informal workers have higher working time flexibility and can work more hours to increase their earnings, which increases their subjective well-being. However, it is difficult for dependent informal workers to earn more by working more hours due to poor working time flexibility.Originality/valueThis study indicates that informal workers in the formal sector have lower subjective well-being in urban China and deserve more attention from policymakers. The author also suggests that increasing working time flexibility and encouraging self-employment can contribute to the welfare of informal workers.
FDI-related meritocratic elite and income inequality in post-communist EU countries
Authors: Supic Novica , Josifidis Kosta , Bodor Sladjana 
Published: August 2024

PurposeThe aim of this paper is to shed more light on the foreign direct investment (FDI) - income inequality nexus in the post-communist EU countries. Special attention is paid to the emergence of a new meritocratic elite related to foreign capital that tends to replace the old elite inherited from the transition period at the top end of the income distribution.Design/methodology/approachThe macroeconomic model of the relationship between income inequality and FDI is estimated by using the generalized method of moments (GMM) technique. The sample includes 10 post-communist EU member states during the period 1993 to 2020.FindingsThe results suggest that the concentration of the highest level of human capital in foreign-owned enterprises, in the institutional environment under which foreign-owned enterprises are less numerous and pay a higher wage than domestic ones, contributes to the change of the effect of FDI and human capital on income distribution from an initial decrease to a later increase in income inequality.Originality/valueThis paper adds to the existing literature by exploring the distributive impacts of sectoral reallocation of FDI inflows from manufacturing to service sectors from the perspective of heterodox economics. It specifically examines how this shift has facilitated the emergence of a new meritocratic elite associated with foreign capital, which in turn diminishes the overall anti-inequality effect of FDI in the post-communist new EU countries.
Unveiling the forces behind exercise intent in sports and fitness live streaming: a combination of symmetric and asymmetric modeling approaches
Authors: Chiu Weisheng , Kim Han Soo , Oh Young Suk , Lee Ye Hoon 
Published: August 2024

PurposeThis study aims to answer the following research questions: (1) How do features of sports and fitness live streaming content influence individuals’ viewing experiences? (2) How do these antecedents interact with each other to influence individuals’ intentions to exercise in the context of sports and fitness live streaming?Design/methodology/approachWe employed both symmetric (PLS-SEM) and asymmetric (fsQCA) analyses using data from 886 participants. A mixed approach addresses the complex nature of the decision-making process among sports and fitness live streaming users.FindingsThe findings reveal that individuals’ appraisal of their interactions with sports and fitness streamers (i.e. instant feedback, interactivity) significantly affects their perceptions of telepresence, entertainment, and flow. These, in turn, positively influence their intention to exercise in live sports and fitness streaming sessions. The study also uncovers various combinations of causal conditions leading to exercise intention, a detail overlooked by the PLS-SEM method alone.Originality/valueThis research contributes to the literature on cognitive appraisal theory, particularly in the context of sports and fitness live streaming, by integrating symmetric and asymmetric analyses. Practically, strategic implications are provided for practitioners in sports and fitness industry.
Major or minor? The EU food animal antibiotic policy and the varied use
Authors: Waluszewski Alexandra , Cinti Alessandro , Perna Andrea 
Published: August 2024

Purpose
Limiting the use of antibiotics in food animals is a cornerstone of contemporary EU policy. Despite that marketing of antibiotics for growth promotion and nutrition has been banned since 2006, the use is still high and varied. This paper aims to investigate the forces behind the different usage patterns in Italy, with one of the EU’s most extensive use of antibiotics in animals, versus Sweden, with the union’s most restricted use, including how these usage patterns are related to EU and national policies.

Design/methodology/approach
The industrial network approach/the 4R resources interaction model is adopted to investigate the major forces behind the different antibiotic usage patterns. Furthermore, the study relies on the notion of three main characteristics related to the use of a resource activated in several user settings (Håkansson and Waluszewski, 2008, pp. 20–22). The paper investigates the Swedish and the Italian using settings, with a minimised, respectively, extensive usage of antibiotics. The study is exploratory in nature and based on qualitative data collected through a combination of primary and secondary sources.

Findings
The paper underlines the importance of integrating forces for policy to succeed in attempts to reduce the use of a particular resource. It reveals that Sweden’s radically reduced use was based on great awareness, close interactions between animal-based food producers and policy – and that integrating forces were supported by an era of state-protected food production, with promising ability to distribute the cost of change. The Italian characteristics hindering the integration of forces mounting for reduced use were restricted awareness, top-down business and policy interactions – and a great awareness about the difficulties of distributing the cost of change.

Originality/value
The study deals with the analysis of forces affecting the different usage of antibiotics within two EU settings. The investigation, based on the industrial network approach’s notion of connectivity of economic resources, that is, of exchange having a content and substance beyond discrete transactions, reveals how indirect related contextual forces, neglected by policy, have an important influence on the ability to achieve change, in this case of antibiotics usage patterns.