bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chemosensation drives divergent social behavior inDrosophila
Authors: Wu Binbin , Keebaugh Erin S. , Ja William W. 
Published: November 2024

AbstractThe social environment can have a considerable impact on animal behavior. However, the molecular signals that drive socially sensitive behaviors are not completely defined. Using the model organism,Drosophila melanogaster, we investigated behavioral responses to housing status. Group housing of male flies induces robust social interactions—composed of chasing and touching—in the Dahomey strain, but not in other commonly used parental lines. Testing mixed-strain groups revealed that strain-specific variation in chemosensation, rather than in the generation of chemosignals, likely underlies the divergent group behaviors. Using locomotor activity as a higher throughput readout for increased social interactions, we found that manipulations that decrease or ablate olfaction—through surgical removal of olfactory organs, silencing of olfactory neurons, or mutations inodorant receptor co-receptor(Orco)—decrease Dahomey social sensitivity. Females of all tested strains, including Dahomey, show no evidence of increased group activity. These results demonstrate that Dahomey social sensitivity is a sexually dimorphic, olfaction-dependent group behavior. The OR43a receptor, as well as signaling throughOr43a+neurons, contributes to Dahomey group hyperactivity. Additional studies also suggest that strain-specific single nucleotide polymorphisms (SNPs) in theOr43agene are associated with Dahomey social sensitivity. Our studies reveal insights on the mechanisms that regulate sensory recognition and behavioral responses to the social environment, and how divergent strategies may have evolved within the same species.
Inhibition of β-catenin signaling by Amyloid-β in endothelial cells impairs vascular barrier integrity
Authors: Leasure Joseph W. , Mai Thi , Fogel Avi , Danos Pierina , Wang Li , Sanborn Mark A. , Ye Zijing , Kim Young-Mee , Wang Xinhe , Flores Jennifer , Mushtaq Muzamil , Toth Peter T. , Ong Sang Ging , Lazarov Orly , Rehman Jalees 
Published: November 2024

ABSTRACTDysfunction of the blood-brain barrier (BBB) is emerging as a critical mediator of Alzheimer’s Disease (AD) progression and precedes the formation of large Amyloid-β (Aβ) plaques in AD patients. Maintenance of the blood brain barrier integrity by brain microvascular endothelial cells (BMECs) is essential for brain homeostasis and is in part maintained by WNT/β-catenin signaling. We hypothesized that Aβ induces blood-brain barrier dysfunction by inhibiting WNT/β- catenin signaling in brain endothelial cells, leading to reduced expression of BBB-related genes and barrier function. In brain endothelial cells, we found that Aβ directly decreased β-catenin transcriptional activity, but also inhibited activation of β-catenin by the WNT3A peptide. Additionally, Aβ reduced barrier integrity of ECs, which was in part restored by exposure to exogenous WNT3A. We observed Aβ-induced inhibition within 3 hours of exposure. Aβ-induced inhibition of β-catenin signaling was consistent across both immortalized brain ECs and ECs differentiated from human induced pluripotent stem cells(iPSCs). We next investigated human iPSCs with and without the N141I mutation in presenilin-2 (PSEN2), known to increase Aβ buildup and familial AD risk. We found the AD ECs showed smaller cell size and expressed lower VE-cadherin at the protein level. RNA sequencing revealed that the presence ofPSEN2N141I did not significantly impact gene expression of genes coding for proteins canonically involved in barrier integrity but did show differences in the expression of transposable elements. These results indicate that BBB dysfunction early in AD may be the result of Aβ in the brain impairing WNT/β-catenin signaling which maintains the barrier integrity of brain endothelial cells.
Construction waste management in residential green buildings in New Zealand
Authors: Tong Nguyet , Domingo Niluka , Le An 
Published: November 2024

PurposeConstruction and demolition waste has emerged as a significant challenge for sustainable development globally. Hence, construction waste management (CWM) is considered one of the critical sustainable deliveries stipulated in various green building rating systems (GBRSs), including Homestar in New Zealand (NZ). The 6 Homestar rating is mandated for use by the national public housing provider. However, no empirical study has been conducted on CWM in 6 Homestar dwellings. This study investigates the current practice of CWM in those projects.Design/methodology/approachPrimary data were extracted from 6 Homestar built assessment submissions for 100 public housing projects. The waste reports provided quantitative data to calculate the waste generation rate (WGR), waste diversion rate (WDR) and diverted waste rate (DWR) for descriptive analysis. These findings underwent further exploration by analysing site waste management plans.FindingsWith the aid of on- and off-site sorting and the recycling centre, a significant WDR is achieved at an average of 75.6%. However, diverted waste is treated at a low-priority level in the waste management hierarchy, and WGR remains relatively high.Originality/valueThe findings of this study can serve as valuable resources for managers in formulating comprehensive waste management plans and for policymakers in developing strategies and policies towards enhancing CWM practices. The study suggested the need for further focus towards minimising construction waste (CW) from the early design plan to achieve the construction industry's zero-waste target.
Optimizing job satisfaction: a configurational framework for integrating HRD, HR, and employee attributes
Authors: Shen Stella , Mullens Drake 
Published: November 2024

Purpose
Addressing a significant gap in current understanding, this study explores how workforce development, workplace practices, and employee characteristics interact to influence job satisfaction. We introduce a configurational framework to bolster talent development and enhance job satisfaction in organizations.

Design/methodology/approach
Through conceptual analysis, we identify and propose strategic talent management configurations that include two-way and three-way interactions between HRD initiatives, HR practices, and employee attributes. We demonstrate the potential efficacy of these tailored configurations with real-world examples, such as aligning developmental support with employee learning styles and job design.

Findings
A configurational model is proposed that offers a practical framework for leveraging the interplay between HRD initiatives (e.g., training and mentoring), HR practices (e.g., compensation and performance management), and employee attributes (e.g., personality and cognition) to create a tailored, supportive, and engaging work environment.

Originality/value
The findings provide a novel and actionable framework for workforce development. This configurational model emphasizes the strategic alignment of HRD initiatives, HR practices, and employee attributes, equipping practitioners with a valuable tool to enhance talent management, optimize job satisfaction, improve resource allocation, and ultimately boost organizational performance.
The adoption of fast payment systems (FPS) in Latin America: the role of financial literacy and cash-related beliefs
Authors: Giraldo Carlos , Giraldo-Salazar Iader , Peña-García Nathalie , Losada-Otálora Mauricio 
Published: November 2024

PurposeIn this paper, we ask: how do individual factors affect individuals’ intentions of adopting fast payment systems (FPS)? We examine the role of financial literacy and beliefs about cash as individual-related variables that complement the technology acceptance model (TAM) in explaining the individuals’ intention to adopt financial innovations.Design/methodology/approachWe surveyed consumers in 11 Latin American countries to measure relevant variables. By applying structural equation modeling, we extended the TAM. We demonstrated that financial literacy and beliefs about cash contribute to developing a fine-grained understanding of what stimulates individuals’ adoption of financial innovations like FPS.FindingsOur results support the claim that individuals with higher levels of financial literacy exhibit a higher intention to adopt FPS through the mediation role of beliefs about cash, perceived usefulness, perceived ease of use and attitude.Practical implicationsTo improve FPS’s acceptance probability, designers must add highly usable platforms. However, it could be more important to increase the perceived usefulness of FPS as the system competes directly with traditional payment methods such as cash. If individuals exhibit strong positive beliefs about cash, their attitudes and intentions of adopting FPS will decrease. In addition, policymakers and designers may modify beliefs about cash individuals exhibit by identifying and intervening in their determinants (e.g. financial literacy).Originality/valueBesides technology-related factors, we demonstrate that beliefs about alternative technologies (e.g. cash) influence the intention to adopt financial innovations like FPS.
Exploring the evolution and collaboration in two-sided matching: a comprehensive bibliometric and topic modeling analysis
Authors: He Xiaorong , Xiang Bo , Xu Zeshui , Yu Dejian 
Published: November 2024

PurposeThis study aims to provide a comprehensive analysis of two-sided matching (TSM) research, an interdisciplinary field that integrates both theoretical and practical perspectives. By examining 756 research articles from the Web of Science database, this paper seeks to identify key trends, collaboration patterns and emerging research topics within the TSM domain.Design/methodology/approachThe research utilizes bibliometric analysis combined with a structural topic model to analyze TSM-related articles published between January 1, 2000, and September 30, 2022. The study identifies leading subfields, journals, countries/regions and institutions based on publication volume, total citations and average citations per article. Interaction and collaboration patterns among these entities are examined through co-occurrence and coupling networks. Additionally, five major research topics are identified and explored using topic modeling and co-word networks. This hybrid knowledge mining approach better reveals the inherent structural changes in topic clusters. Topic distribution and network analysis are beneficial in capturing the attention allocation of different entities to knowledge.FindingsThe analysis reveals five prominent research topics in TSM: communication resource allocation, stable matching research, computing task assignment, TSM decision-making and market matching mechanism design. These topics represent the main directions of TSM research. The study also uncovers a shift in research focus from theoretical aspects to practical applications. Furthermore, the distribution of knowledge and interaction patterns among key entities align with the identified research trends.Originality/valueThis study offers a novel and detailed overview of TSM research highlighting significant trends and collaboration patterns within the field. By integrating bibliometric methods with structural topic modeling the study provides unique insights into the evolution of TSM research making it a valuable resource for both academic and professional communities.
Understanding competition, cooperation and their interplay in supplier network: implication on manufacturer’s innovation
Authors: Yang Xiaotian 
Published: November 2024

PurposeA manufacturer with complex end-products can play the “hub firm” role in its supplier network and manage the relationship among its suppliers, but it mostly does not know how to manage suppliers’ coopetitive relationship for improving its innovation. This study aims to investigate the influence of horizontal supplier–supplier (S-S) competition and cooperation in the supplier network on the quantity and quality of manufacturer’s innovation, to unravel the manufacturers’ coopetitive strategic sourcing.Design/methodology/approachThe study conducts negative binomial regression using the data from 130 listed Japanese manufacturers and their first-tier supplier networks as the analysis unit.FindingsThe results indicate that both S-S competition and cooperation have inverted U-shaped effects on manufacturers’ innovation. As to the interplay of S-S competition and cooperation in driving manufacturers’ innovation, the one weakens the other’s inverted U-shaped role. It also shows that simultaneously maintaining moderate cooperation and competition among suppliers is a good choice for manufacturer innovation, and when there is high S-S competition, motivating high cooperation among suppliers is also a way to enhance manufacturers’ innovation. All of the effects are more significant and robust on the innovation quality than the innovation quantity.Originality/valueThis study contributes to linking the dyadic analysis of vertical relationships to the network analysis of horizontal S-S relations and exploring the under-researched interplay between competition and cooperation in driving the ego firm’s innovation. It provides insights to manufacturers’ policymakers on how to strategically manage their supplier networks and S-S coopetition to improve their innovation performance.
Impact of COVID-19 trade suspension on price discovery in FPO-traded agri-derivatives
Authors: Baishnab Kripamay , Singh Piyush Kumar 
Published: November 2024

Purpose
This study aims to examine whether agricultural commodities exhibited deviations in the lead-lag relationship between future and spot prices of farmer producer organizations (FPOs) traded commodities in the Indian derivative market after trade suspensions during Covid-19. The study may help buyers and sellers to get a fair price for their commodities after lockdown-trade disruptions.

Design/methodology/approach
The study applied the Granger causality (GC) test and the vector error correction model (VECM) to analyse short-run and long-run lead-lag relationships. Moreover, the study examined the pre-post-trade suspension effect on the lead-lag relationship of commodity prices.

Findings
The GC test results show that five out of the 13 agri-commodities have changed their lead-lag relationship from future to spot in the short run. Simultaneously, VECM captured changes in the lead-lag relationship for the same five commodities in the long run due to trade suspensions.

Practical implications
The findings indicate a reverse lead-lag relationship between future and spot prices for aforesaid commodities after trade suspension. The stakeholders may use the lead prices for these commodities to perform a fair trade. The study may be helpful in structuring price discovery strategy to achieve optimal price and efficient derivative trading.

Originality/value
To the best of the authors’ knowledge, this is the first study examining the effects of trade suspension on price discovery in FPO-traded agri-derivatives caused by the COVID-19 pandemic.
Developing the WECARE cross-national research alliance for investigating early childhood educators’ wellbeing
Authors: Cumming Tamara , McFarland Laura , Saha Mari , Bull Rebecca , Wong Sandie , Ng Ee Lynn , Sun Jin , O’Hara-Gregan Justine , Gould Kiri , Richardson Brooke 
Published: November 2024

PurposeThis paper describes the development of the WECARE cross-national research alliance for investigating early childhood educators’ wellbeing, and details the experiences of some of WECARE’s 17 members.Design/methodology/approachThe paper explores and situates the WECARE team’s experiences within extant literature on cross-national and collaborative research groupings alongside a strongly practical focus.FindingsThe study’s findings included effects of member mindsets and motivations, differentiated benefits and challenges of membership, cultural sensitivity, research capacity-building, leadership, communication, data security and planning.Originality/valueCross-national research is seen as an important part of academic researchers’ activities. Yet, little has been written about how cross-national research groups form and operate, and what benefits and challenges their members experience.
Risk assessment and ranking methodology for occupational hazards in construction: a case of Indian high-rise projects
Authors: Tripathi Pooja , Mittal Yash Kumar 
Published: November 2024

PurposeThe unique nature, complicated design, hazardous activities and complex work environment involved in the high-rise construction projects constitute significant risks worldwide. In the Indian context, construction safety management in high-rise construction projects is crucial due to the presence of significant occupational risks and hazards at the workplace. Occupational hazards lead to accidents that severely affect human health and result in substantial financial losses.Design/methodology/approachThe study aims to present a hybrid risk assessment method (RAM) and the technique for order of preference by similarity to ideal solution (TOPSIS) method to detect and evaluate occupational risks in different construction activities through a questionnaire survey approach.FindingsAroundsix types of construction activities and corresponding ten risks are identified and evaluated during the study. Based on the calculation of risk scores, the findings imply that “roof work activities,” “finishing work,” “mechanical, electrical and plumbing work (MEP)” are hazardous construction activities, while, among the corresponding ten risks, “workers falling from height” is the most prominent risk among the majority of activities. Other risks include “risk due to fire and electric accidents” and “struck by falling objects,” which are the major risks in high-rise construction projects.Originality/valueTheoriginality of the paper lies in its activity-based risk assessment and ranking of hazards in high-rise construction projects. By integrating theoretical insights with practical applications, the study attempts to enhance occupational safety and reduce accidents on construction sites, thereby significantly contributing to both academia and industry practices.
Train one and get a crew: a multilevel evaluation of team-centric leadership training for airport security screening crew leaders
Authors: Walter Stephanie , Schmutz Jan B. , Grote Gudela 
Published: November 2024

Purpose
This study aims to introduce a team-centric leadership training program tailored for leaders of critical action teams. It emphasizes the critical role of effective teamwork in high-stakes environments.

Design/methodology/approach
The authors developed a team-centric leadership training program for crew leaders of airport security teams. The training program comprised in-class teaching on the psychological foundations of teamwork and practical simulations. The training program’s effectiveness was assessed at the individual and team levels using Kirkpatrick’s evaluation model to obtain a complete evaluation of its effectiveness. First, a pre- and posttraining questionnaire recorded changes in self-efficacy, knowledge and skills about teamwork at the individual level from 62 leaders. Second, the authors assessed the transfer effects of the team-centric leadership training on self-reported team processes and team performance during a work shift of 37 crews.

Findings
Results indicate an improvement in the application of teamwork skills but not in self-efficacy or knowledge among crew leaders who underwent the training. Additional analysis revealed that leaders with initially high self-efficacy in teamwork experienced a reduction posttraining, whereas those with initially low levels reported an increase. Teams led by trained leaders demonstrated a higher engagement in key team processes than those led by untrained leaders. No effect has been found on team performance.

Originality/value
This study offers a cost-effective alternative to conventional teamwork training methods, specifically designed for high-pressure security contexts. The authors advocate for the adoption of this training model by security professionals, aiming to elevate team processes and operational efficacy in critical action teams.
Storage quality of amylose‐lycopene complexes and the establishment of a shelf life prediction model
Authors: Sun Shidong , Meng Kaili , Zhao Wenhong 
Published: November 2024

AbstractTo study the changes in the storage quality of amylose‐lycopene complexes (ALCs), the color, antioxidant activity, lycopene content, and configuration changes of ALCs during different storage periods were analyzed. A shelf life prediction model was established to reveal the stability changes of the complexes. The results showed that the cis‐isomer percentage of lycopene in ALCs increased significantly from 11.82% to 13.76%. The lycopene isomers were in the order of 5‐Z > All‐E > 9‐Z > 13‐Z. Correlation analysis indicated that the content of lycopene was a key factor affecting the quality of ALCs. ALCs followed zero‐order and first‐order degradation kinetics at 5°C–25°C and 35°C–45°C, respectively. The degradation degree of lycopene was negatively correlated with temperature, with half‐lives and one‐tenth decay periods of 32.37 days and 6.48 days (5°C) significantly higher than 10.78 days and 1.63 days (45°C). The activation energy required for the reaction of ALCs was as high as 106.29 kJ/mol, indicating greater stability. On this basis, an ALCs shelf life prediction model was established, with a relative error of 0.06%–5.03% between the predicted and actual values. The results indicated that ALCs had good color, antioxidant activity, lycopene content, and configuration stability, and that higher temperatures had a greater impact on lycopene. The study provides theoretical reference for the quality safety of ALCs.
Multiomic profiling reveals timing of menopause predicts prefrontal cortex aging and cognitive function
Authors: Gunter‐Rahman Fatima , Adams Charleen D. , Raju Ravikiran M. , Zhang Yu , Lee Eunjung Alice , Messerlian Carmen 
Published: November 2024

AbstractA new case of dementia is diagnosed every 3 s. Beyond age, risk prediction of dementia is challenging. There is growing evidence of underlying processes that connect aging across organ systems and may provide insight for early detection, and there is a need to identify early biomarkers at an age when action can be taken to mitigate cognitive decline. We hypothesized that timing of menopause, a marker of ovarian aging, predicts brain age decades later. We used 2086 subjects with multiple “omics” measurements from post‐mortem brain samples. Age at menopause (AAM) is positively correlated with cognitive function and negatively correlated with pre‐frontal cortex aging acceleration (calculated as estimated biological age from DNA methylation minus chronological age). Genetic correlations showed that at least part of these associations is derived from shared heritability. To dissect the mechanism linking AAM to cognitive decline, we turned to transcriptomic data which confirmed that later AAM was associated with gene expression in pre‐frontal cortex consistent with better cognition, and among those who reached menopause naturally, decreased gene expression of pathways implicated in aging. Those with surgical menopause displayed different molecular changes, including perturbed nicotinamide adenine dinucleotide (NAD+) activity, validated by metabolomics. Bile acid metabolism was perturbed in both groups, although different bile acid ratios were associated with AAM in each. Together, our data suggest that AAM is predictive of brain aging and cognition, with potential mediation by the gut, although through different mechanisms depending on the type of menopause.