bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of chronodisruption and alcohol consumption on gene expression in reward-related brain areas in female rats
Authors: Meyer C. , Schoettner K. , Amir S. 
Published: June 2024

ABSTRACTCircadian dysfunction caused by exposure to aberrant light-dark conditions is associated with abnormal alcohol consumption in humans and animal models. Changes in drinking behavior have been linked to alterations in clock gene expression in reward-related brain areas, which could be attributed to either the effect of chronodisruption or alcohol. To date, however, the combinatory effect of circadian disruption and alcohol on brain functions is less understood. Moreover, despite known sex differences in alcohol drinking behavior, most research has been carried out on male subjects only, and therefore implications for females remain unclear.To address this gap, adult female rats housed under an 11h/11h light-dark cycle (LD22) or standard light conditions (LD24, 12h/ 12h light-dark) were given access to an intermittent alcohol drinking protocol (IA20%) to assess the impact on gene expression in brain areas implicated in alcohol consumption and reward: the prefrontal cortex (PFC), nucleus accumbens (NAc), and dorsal striatum (DS). mRNA expression of core clock genes (Bmal1,Clock,Per2), sex hormone receptors (ERβ,PR), glutamate receptors (mGluR5,GluN2B), a calcium-activated channel (Kcnn2), and an inflammatory cytokine (TNF-α) were measured at two-time points relative to the locomotor activity cycle.Housing under LD22 did not affect alcohol intake but significantly disrupted circadian activity rhythms and reduced locomotion. Significant changes in the expression ofBmal1,ERβ, andTNF-αwere primarily related to the aberrant light conditions, whereas changes inPer2andPRexpression were associated with the effect of alcohol. Collectively, these results indicate that disruption of circadian rhythms and/or intermittent alcohol exposure have distinct effects on gene expression in the female brain, which may have implications for the regulation of alcohol drinking, addiction, and, ultimately, brain health.
Regional Anesthesia in Intensive Care: An Overview in Tunisia
Authors: Nouri Dorra , Nouri Fatma Ezzahra , Rabai Aicha 
Published: June 2024

AbstractRegional anesthesia (RA) is increasingly used in intensive care in Tunisia, but challenges persist to ensure optimal practice. We conducted a multicenter study involving post-operative and polyvalent intensive care units, both private and public. Resident physicians(44.7%) are sensitized to quality of care, but gaps remain. Attending physicians (63.3%) often report the absence of pain management committees (PMCs) and written protocols for RA. The majority express a need for continuous training, particularly on RA. High-fidelity simulation is the preferred format for learning. RA is commonly used in intensive care (97.2%), mainly epidural (76.4%) and femoral nerve blocks (54.9%). Ultrasound is widely preferred for guiding procedures (77.5%). The main areas of RA application are thoracic (94.4%) and limb trauma (64.8%). The ANI is the preferred pain monitoring tool (49.3%). Improving training and infrastructure is necessary for optimal RA practice in intensive care in Tunisia.
Barriers to the adoption of blockchain technology in the construction industry: a total interpretive structural modeling (T ISM) and DEMAT EL approach
Authors: Khuc Trung Quang , Nguyen Viet Thanh , Do Sy Tien 
Published: June 2024

Purpose
The purpose of this study is to identify the key barriers to the adoption of blockchain technology (BCT) in the construction industry. This investigation seeks to understand the challenges that hinder the implementation of blockchain in this sector.

Design/methodology/approach
The study begins with a comprehensive review of relevant literature to identify the main barriers to blockchain adoption in construction. It then uses an integrated approach using total interpretive structural modeling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement to investigate the interrelationships among these barriers. In addition, the decision-making trial and evaluation laboratory (DEMATEL) method is used to establish cause-and-effect relationships between the identified barriers.

Findings
The study’s integrated TISM and DEMATEL methodology reveals several crucial barriers to blockchain adoption in the construction industry, including regulatory uncertainty, data privacy and security concerns, limited knowledge and expertise and dependence on blockchain operators. It also identifies scalability issues, uncertain benefits and lack of collaboration as dependent barriers, influenced by other identified barriers.

Originality/value
This study contributes original value by applying an integrated methodological approach to understand the complex interrelationships and dependencies among barriers to blockchain adoption in the construction industry. The findings provide decision-makers with insights to prioritize and effectively manage the key driving barriers, enhancing the understanding and strategic planning for blockchain implementation in this sector.
Investigating customer behavior on Instagram to enhance online sale: modeling the effect of content types and broadcasting tools
Authors: Houshiarian Rozhin , Amidi Asra , Nejad Mohammad Nameghi Ehsaneh 
Published: June 2024

Purpose
This study aims to examine the role of various Instagram contents on customer behavior. The studied case is associated with herbal teas sold on active Instagram pages.

Design/methodology/approach
A structured questionnaire is exploited to collect data from customers. The integration of two entropy weight methods and weighted sum method are used to evaluate the priority of contents. In addition, model development is illustrated through which Instagram broadcasting tools are prioritized benefiting from fuzzy cognitive map method.

Findings
The results illustrate that customer behavior is moderated by content types, which empirically enhances the profitability of the business. The results of this study reveal that educational live, show other ones experience at live as well as motivational lives are the most effective contents. This study is a pioneering one to practically assess the construct of social media engagement through the effects of content types on the Instagram platform.

Originality/value
The effects of various contents, including motivational content, other customers’ experiences, products, educational content and purchase bill, on customer behavior are studied.
The influence of economic policy uncertainty on stock market liquidity? The mediating role of investor sentiment
Authors: Nasraoui Mahbouba , Ajina Aymen , Kahloul Amani 
Published: June 2024

PurposeThe study examines the relationship between Economic Policy Uncertainty (EPU) and stock liquidity, and the mediating role of investor sentiment.Design/methodology/approachThis study draws on a sample of 4,620 firm-year observations covering nonfinancial firms in the United States from 2007 to 2020. We employ multiple regression analysis with panel data and path analysis with Structural Equation Modeling (SEM) to examine the impact of EPU on stock liquidity in detail.FindingsEPU significantly enhances stock liquidity. However, at elevated levels of EPU, this relationship reverses. The path analysis results indicate that EPU positively affects stock liquidity via the investor sentiment channel. This sentiment partially mediates the relationship between EPU and both trading volume and turnover rate, and fully mediates the relationship between EPU and both turnover price impact and illiquidity.Practical implicationsOur findings underscore the importance of liquidity for investors, who may require higher returns for holding more illiquid stocks. Second, they can help the government understand the implications of changes in EPU, highlighting the need for clear communication and the implementation of appropriate capital market policies.Originality/valueWhile considerable research focuses on the relationship between EPU and stock market liquidity, the analysis of the channels through which EPU influences stock market liquidity remains largely unexplored. Our study highlights the importance of investor sentiment in explaining this relationship.
From code to connection: the role of responsible artificial intelligence (RAI) and leaders’ RAI symbolization in fueling high-tech employee innovation
Authors: Tariq Shahan Bin , Zhang Jian , Gilal Faheem Gul 
Published: June 2024

PurposeArtificial intelligence (AI) radically transforms organizations, yet ethical AI’s effect on employee innovation remains understudied. Therefore, this study aims to explore whether responsible artificial intelligence (RAI) enhances high-tech employees’ innovative work behavior (IWB) through creative self-efficacy (CSE) and employee mental health and well-being (EMHWB). The study further examines how leaders’ RAI symbolization (LRAIS) moderates RAI’s effect.Design/methodology/approachThrough structural equation modeling, 441 responses of high-tech firms’ employees from Pakistan were utilized for hypotheses testing via SmartPLS-4.FindingsThe results revealed that second-order RAI enhances employees’ IWB. The effect was supported directly and indirectly through CSE and EMHWB. Findings also showed that LRAIS significantly moderates RAI’s influence on CSE, on the one hand, and EMHWB, on the other.Practical implicationsHigh-tech firms’ managers can fix AI-outlook issues that impair their employees’ IWB by prioritizing an ethical AI design involving actions like AI control mechanisms, bias checks and algorithmic audits. Similarly, these managers should facilitate RAI discussions and targeted trainings focusing on employees’ cognitive development and well-being. Likewise, RAI embracement programs and evaluations for leadership positions could be incorporated into high-tech firms.Originality/valueThis study advances the mainstream AI literature and addresses a notable gap concerning RAI’s influence on employees’ IWB while grounding in social cognitive theory. Moreover, this study unveils how CSE and EMHWB affect IWB within RAI milieus. Additionally, through signaling theory, it underscores the significance of LRAIS in amplifying the direct association between RAI, CSE, and EMHWB within high-tech firms in emerging markets.
Time perspective and eating behaviour of young adults: how important is a healthy future compared to the present?
Authors: Begho Toritseju , Liu Shuainan 
Published: June 2024

Purpose
Promoting healthy dietary habits is a concern for public health due to the association between unhealthy diets and nutrient-related diseases. This paper aims to examine the relationship between individuals’ temporal dietary behaviour and perceptions of the effect of dietary habits on physical health and how these perceptions influence two important aspects of eating behaviour, i.e. daily consumption of healthy food and self-reported extra payment for healthy food options.

Design/methodology/approach
Cross-sectional data on 457 young Chinese adults within the age category of 18–30 years were collected through a survey. Two subscales (immediate and future) were obtained from the consideration-of-future-consequences (CFC)-12 scale through a factor analysis. A seemingly unrelated regression was estimated to determine whether CFC impacts behaviour through an awareness of the consequences of one’s dietary habits.

Findings
Individuals who are more focused on immediate gratification were more likely to perceive their current dietary habit have a negative effect on their physical health (p < 0.001). In contrast, those who prioritise the future benefits were less likely to perceive negative health effects from their dietary habits (p < 0.001). However, the perception of negative consequences of dietary habit on physical health did not motivate healthier eating daily (p < 0.001) nor allocating more money towards eating healthy (p < 0.001).

Practical implications
Understanding the relationship between time perspective and dietary habits could help identify potential risk factors for poor dietary choices and promote healthier eating habits.

Originality/value
The paper uses insights from behavioural economics to identify the behavioural triggers that lead to a healthier dietary habit.
Impact of virtual influencers on customer engagement of Generation Z consumers: a presence perspective
Authors: Lin Qiaoling , Ng Siew Imm , Kamal Basha Norazlyn , Luo Xi , Li Yingxia 
Published: June 2024

Purpose
Based on the computers as social actors (CASA) theory, this study aims to explore the impact of three characteristics of virtual influencers (conversational tone, autonomy and responsiveness) on social presence, telepresence and customer engagement.

Design/methodology/approach
Using the purposive sampling technique, online survey was administered to Chinese Gen-Z consumers engaging with virtual influencers. Subsequently, 357 respondents were sampled. SPSS 29.0 and Smart PLS 4.0 were used to perform the analyses.

Findings
The results show that conversational tone and responsiveness have significant positive effects on both social presence and telepresence. Autonomy has a positive effect on telepresence, but not social presence. Social presence and telepresence have a positive impact on customer engagement.

Originality/value
As a burgeoning field, there is still uncertainty among both practitioners and researchers about the methods that virtual influencers engage their users in the context of social media. Limited research has focused on presence (social presence and telepresence) due to virtual influencers. Therefore, the CASA theory offers valuable insights into how virtual influencers’ characteristics contribute to the presence and customer engagement and provides practical guidance for the design of virtual influencers.
Seismic wave propagation in coupled fluid and porous media: A finite element approach
Authors: Bucher Federico , Zyserman Fabio I. , Monachesi Leonardo B. 
Published: June 2024

AbstractWe present a numerical method to simulate seismic wave propagation in coupled fluid and porous media. We developed a numerical finite element–based algorithm to approximate solutions to viscoacoustic and Biot's equations, considering the open pore conditions at the interfaces between both media. The algorithm architecture allows to simulate arbitrary distributions of viscoacoustic and poroelastic regions, facilitating the modelling of heterogeneous systems involving complex geometries. The algorithm includes a double parallelization scheme whose efficiency in terms of computing time and memory requirements was tested for different core distributions and mesh sizes. We validate our proposal by performing a comparison between its results and those obtained with a well‐known freely available code. We test its capabilities by studying two different scenarios with geophysical interest: a lake with an irregular bottom and a fractured porous medium.
The long‐term drive count and culling data of the sika deer (Cervus nippon) population introduced on Nakanoshima Island in Lake Toya, Hokkaido, Japan, during 1980–2023
Authors: Igota Hiromasa , Takahashi Hiroshi , Matsuura Yukiko , Ikeda Takashi , Watanabe Takuma , Kaji Koichi 
Published: June 2024

AbstractCervid populations introduced to favorable habitats in confinement often increase excessively without predators and hunting. Overabundant deer populations impact the ecosystems and may cause damages to agriculture and forestry. Long‐term count data on the changes in a deer population is essential to understand the relationship between the population dynamics and the natural vegetation. The introduced sika deer (Cervus nippon Temminck, 1836) population without predators on Nakanoshima Island, Hokkaido, Japan, showed repeated irruptions and declines with mass mortality and irregular culling between 1980s and 2000s. The overabundant deer significantly altered the natural vegetation, and density‐dependent changes in population parameters such as body size and reproduction were observed. Here, we present the drive count and culling data to examine the population dynamics during 1980–2023. Deer were counted by 20–30 walking drivers and 2–3 observers on boats once per year in February or March. The number of counted deer rapidly increased from the original three introduced around 1960 to >270 deer (the first peak) in two decades and decreased by half due to starvation and the first culling. Thereafter, the number of counted deer continued to increase with a lower growth rate, reached a higher peak (>400, the second peak) than the first irruption in two decades, and decreased again by half due to starvation and the second culling. Although the number of counted deer increased again up to >300 in several years, it decreased and was maintained at around 100 deer with the annual culling program since 2012. The complete data set for this abstract published in the Data Article section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-06.1/jalter-en.
Assessing the predictive ability of information globalization under global value chains‐environmental sustainability nexus in the BRICS economies: A nonparametric causality approach
Authors: Yu Dong , Wang Zilong , Nadeem Muhammad 
Published: June 2024

AbstractThe expansion of cross‐border information and production resources is facilitated by information globalization through the transfer of fresh ideas, products, technologies, and business models. This encourages information globalization's potential to achieve environmental and other technological advancements in the meantime and helps to make greener production possible through value‐added trade. Prior research, however, largely ignored this aspect of globalization in global value chains' studies. In order to anticipate carbon emissions (CO2) in BRICS economies, this novel study aims to assess the significance of participation in global value chains (GVCs) and information globalization (ING). The innovative research uses nonparametric causality‐in‐quantiles techniques on quarterly data from 1995Q1 to 2018Q4 to quantify for causality‐in‐variance and causality‐in‐mean because there might not be any causation at the first stage but there might be higher‐order interdependencies. The results show that GVC and ING had high predictive capability for carbon emissions, indicating asymmetry regarding environmental sustainability. Additionally, GVC and information globalization asserted that there is a significant interaction effect when it comes to forecasting pollution levels in chosen nations. The provision of financial and R&D assistance for energy efficiency and green production, as well as the use of mass and social media to raise awareness among the firms participating in global value chains, may assist in achieving SDG 13 and Cope26's goal of reducing pollution by 2030. The finding contributes crucial insights for policymakers and enhances the discourse on sustainable hones inside GVCs. The study proposes prioritizing information transparency, worldwide measures, and motivations for eco‐friendly advances to improve environmental sustainability in GVCs. Policymakers are encouraged to foster public–private associations for cohesive global endeavors in diminishing CO2 emanations inside GVCs.
A metagenomic survey of the fecal microbiome of the African savanna elephant (Loxodonta africana)
Authors: du Preez Louis Lategan , van der Walt Elzette , Valverde Angel , Rothmann Christopher , Neser Frederick Wilhelm Cornelius , Cason Errol Duncan 
Published: June 2024

AbstractThe African savanna elephant (Loxodonta africana) is the largest terrestrial animal on Earth and is found primarily in Southern and Eastern Africa. It is a hindgut, colonic fermenter and subsists on a diet of raw plant materials found in its grazing area. In this study the bacterial, archaeal and fungal populations of seven African savanna elephant fecal metagenomes were first characterized using amplicon sequencing. On the genus level it was observed that the p‐1088‐a5 gut group in the bacteriome, Methanocorpusulum and Methanobrevibacter in the archaeome and Alternaria, Aurobasidium, Didymella and Preussia in the mycome, predominated. Subsequently, metagenomic shotgun sequencing was employed to identify possible functional pathways and carbohydrate‐active enzymes (CAZymes). Carbohydrate catabolic pathways represented the main degradation pathways, and the fecal metagenome was enriched in the glycohydroside (GH) class of CAZymes. Additionally, the top GH families identified – GH43, GH2, GH13 and GH3 – are known to be associated with cellulytic, hemicellulytic and pectolytic activities. Finally, the CAZymes families identified in the African savanna elephant were compared with those found in the Asian elephant and it was demonstrated that there is a unique repository of CAZymes that could be leveraged in the biotechnological context such as the degradation of lignocellulose for the production of second‐generation biofuels and energy.
Corporate social responsibility, CEO characteristics, and earnings management: Evidence from China
Authors: Erraja Chayma , Ying Qu , Khalil Hassan 
Published: June 2024

AbstractThis study examines the relationship between corporate social responsibility (CSR), earnings management (EM), and the characteristics of chief executive officers (CEOs) within the context of China's economic transformation. Drawing on stakeholder theory and upper echelon theory, this study investigates the influence of CSR on EM and the role of CEO characteristics. The empirical analysis is based on a sample of 1,980 Chinese firm‐year observations from the Shenzhen and Shanghai stock markets, between 2013 and 2017. The findings reveal a negative relationship between CSR performance and discretionary accruals (DA), suggesting that higher CSR is associated with lower EM. Moreover, this relationship is more pronounced among firms with highly educated CEOs (postgraduates) and mature CEOs (approaching retirement age). Notably, the negative CSR–EM relationship is strengthened in firms with mandatory CSR reports. This study expands prior research by exploring the impact of CEO characteristics on the CSR–EM relationship, incorporating CEO attributes alongside ownership structures and governance mechanisms. The findings offer insights for organizations in terms of selecting ethically committed CEOs, as well as guidance for shareholders in understanding CEO selection criteria. Furthermore, this study highlights the importance of mandatory CSR disclosure (CSRD) for policymakers evaluating CSR performance according to the disclosure type.