bluuebunny/crossref_metadata_2025_split huggingface dataset:
Illumination mediates a switch in both active sensing and control in weakly electric fish
Authors: Yeh Huanying , Yang Yu , Biswas Debojyoti , Cowan Noah J. 
Published: October 2024

AbstractTo execute sensory-guided behavior, the nervous system must manage uncertainty within multiple streams of information. There are two highly nonlinear mechanisms for achieving this: 1) sensory reweighting, aninternal neural computationwhich places more emphasis on sensory information that exhibits the least uncertainty, e.g. in a Bayesian framework, and 2) active sensing, anovert behaviorthat seeks to improve the quality of sensory information before it enters the nervous system. Here we show that animals solve both of these nonlinear problems concurrently. We studied how the weakly electric glass knifefishEigenmannia virescensalters its movement dynamics under parametric manipulations of illumination. We hypothesized a concomitant switch in both overt active sensing and internal multisensory reweighting. To test this, we varied illumination levels from 0.1 to 210 lx as fish tracked a moving refuge. We discovered that in a neighborhood of a critical threshold (on the order of 1 to 10 lx), small increases in illumination led to dramatic changes in both active sensing and multisensory control, specifically in 1) steep reductions in fish head and tail movements and 2) decreased refuge tracking phase lag. Outside of this threshold, large changes in illumination only caused small changes in active sensing and control. A control-theoretic model that dynamically modulates the weights of vision and electrosense due to illumination changes corroborates our findings. These findings underscore the complex, multipartite, nonlinear nature of locomotor control and the remarkable ability of the nervous system to execute multiple parallel strategies for managing sensory uncertainty.
Mindfulness training impacts brain network dynamics linked to stress response in young adolescents
Authors: Gaviria Julian , Celen Zeynep , Smith Mariana Magnus , Peek Lucas , Brosset Soraya , Vuilleumier Patrik , Van De Ville Dimitri , Merglen Arnaud , Klauser Paul , Piguet Camille 
Published: October 2024

AbstractMindfulness-based interventions (MBI) may lead to lower levels of psychological distress, including depression, anxiety, and stress in adolescents. Past research has advanced the discovery of neural architecture recruited by MBI. However, the brain mechanisms through which mindfulness exerts more resilient responses to social stressors in teens remain unclear. Here, we examined how MBI modulates changes in brain network dynamics following social stress with different affective valence (i.e., neutral, negative, and positive). For this aim, we carried out a longitudinal randomized controlled trial in which non-clinical adolescents underwent MBI for 8 weeks. They completed a psychosocial stress task before and following MBI. Functional magnetic resonance imaging (fMRI) and self-reported measurements of psychological distress were collected in both measurement points (i.e., “pre” and “post” MBI). We computed co-activation patterns on fMRI data to characterize dynamic functional connectivity within whole-brain networks. The results depicted how MBI modulates transient co-activation changes in dorsal medial regions of the brain default network (DN) following the experience of stress. However, these brain changes were not specific to the affective valence of stressful stimuli. The relationship between the DN dynamics and the measurements of psychological distress was mediated by MBI. Globally, our findings support a model in which MBI causally mediate brain-behavior interactions related to psychosocial stress in adolescents.
The Integrated Stress Response Suppresses PINK1-dependent Mitophagy by Preserving Mitochondrial Import Efficiency
Authors: Yang Mingchong , Mo Zengshuo , Walsh Kelly , Liu Wen , Guo Xiaoyan 
Published: October 2024

AbstractMitophagy is crucial for maintaining mitochondrial health, but how its levels adjust to different stress conditions remains unclear. In this study, we investigated the role of the DELE1-HRI axis of integrated stress response (ISR) in regulating mitophagy, a key mitochondrial stress pathway. Our findings show that the ISR suppresses mitophagy under non-depolarizing mitochondrial stress by positively regulating mitochondrial protein import, independent of ATF4 activation. Mitochondrial protein import is regulated by the rate of protein synthesis under both depolarizing and non-depolarizing stress.Without ISR, increased protein synthesis overwhelms the mitochondrial import machinery, reducing its efficiency. Under depolarizing stress, mitochondrial import is heavily impaired even with active ISR, leading to significant PINK1 accumulation. In contrast, non-depolarizing stress allows more efficient protein import in the presence of ISR, resulting in lower mitophagy. Without ISR, mitochondrial protein import becomes severely compromised, causing PINK1 accumulation to reach the threshold necessary to trigger mitophagy. These findings reveal a novel link between ISR-regulated protein synthesis, mitochondrial import, and mitophagy, offering potential therapeutic targets for diseases associated with mitochondrial dysfunction.
RNA elements required for the high efficiency of West Nile Virus-induced ribosomal frameshifting
Authors: Aleksashin Nikolay A. , Langeberg Conner J. , Shelke Rohan R. , Yin Tianhao , Cate Jamie H. D. 
Published: October 2024

AbstractWest Nile Virus (WNV), a member of theFlaviviridaefamily, requires programmed -1 ribosomal frameshifting (PRF) for translation of the viral genome. The efficiency of WNV frameshifting is among the highest observed to date. Despite structural similarities to frameshifting sites in other viruses, it remains unclear why WNV exhibits such a high frameshifting efficiency. Here we employed dual-luciferase reporter assays in multiple human cell lines to probe the RNA requirements for highly efficient frameshifting by the WNV genome. We find that both the sequence and structure of a predicted RNA pseudoknot downstream of the slippery sequence–the codons in the genome on which frameshifting occurs–are required for efficient frameshifting. We also show that multiple proposed RNA secondary structures downstream of the slippery sequence are inconsistent with efficient frameshifting. We mapped the most favorable distance between the slippery site and the pseudoknot essential for optimal frameshifting, and found the base of the pseudoknot structure likely is unfolded prior to frameshifting. Finally, we find that many mutations in the WNV slippery sequence allow efficient frameshifting, but often result in aberrant shifting into other reading frames. Mutations in the slippery sequence also support a model in which frameshifting occurs concurrent with or after translocation of the mRNA and tRNA on the ribosome. These results provide a comprehensive analysis of the molecular determinants of WNV-programmed ribosomal frameshifting and provide a foundation for the development of new antiviral strategies targeting viral gene expression.
Sequence termination cues drive habits via dopamine-mediated credit assignment
Authors: Magnard Robin , Cheng Yifeng , Zhou Joanna , Province Haley , Thiriet Nathalie , Janak Patricia H. , Vandaele Youna 
Published: October 2024

ABSTRACTMesolimbic dopamine (DA) neurons are central to sequence learning and habit formation. Yet, the mechanisms by which cue-induced DA neural activity drives goal-directed or habitual sequence execution remain unknown. We designed two novel tasks to investigate how sequence initiation and termination cues influence DA-driven behavioral strategies and learning. We found that sequence initiation and termination cues differentially affect reward expectation during action sequences, with only the termination cue contributing to greater outcome devaluation insensitivity, automaticity and behavioral chunking. Mesolimbic fiber photometry recording revealed that this habit-like behavior was associated with a rapid backpropagation in DA signals from the reward to the immediately preceding cue and with attenuated DA reward prediction error signals, which reflected greater behavioral inflexibility. Finally, in absence of external cues, brief optogenetic stimulation of VTA DA neurons at sequence termination was sufficient to drive automaticity and behavioral chunking. Our results highlight the critical role of cue-evoked DA signals at sequence termination in mediating credit assignment and driving the development of habitual action sequence execution.
Analysis of the underlying factors affecting BIM-LCA integration in the Ghanaian construction industry: a factor analysis approach
Authors: Danso Anthony Kwame , Edwards David John , Adjei Elvis Konadu , Adjei-Kumi Theophilus , Owusu-Manu De-Graft , Fianoo Stephen Israel , Thwala Wellington Didibhuku 
Published: October 2024

Purpose
The integration of building information modelling (BIM) and life cycle assessment (LCA) is an effective means of achieving sustainability in the built environment. However, research remains scant on BIM-LCA integration in the Ghanaian construction industry (GCI). This study aims to evaluate the barriers to BIM-LCA integration in the GCI from the perspective of construction professionals.

Design/methodology/approach
Epistemologically relevant theory was developed using interpretivism and post-positivist principles and tested using primary quantitative data. Firstly, a comprehensive literature review identified and examined BIM-LCA integration barriers. Structured surveys of 216 Ghanaian construction professionals collected data on BIM-LCA integration barriers. Data was then analysed using exploratory factor analysis.

Findings
Findings revealed three clusters of barriers, namely, organisational barriers; technical complexity; and knowledge and education. These findings identify and recommend solutions to BIM-LCA integration barriers to standardise processes, raise awareness and integrate project management systems. BIM-LCA adoption will increase productivity, sustainability, construction sector employment (and skills development) and economic growth. This paper concludes with future research on how artificial intelligence and machine learning could improve BIM-LCA integration in building designs. Such work would reveal how new technologies can be used to overcome adoption barriers and promote sustainable building.

Originality/value
This research provides novel knowledge on the barriers to BIM-LCA adoption in Ghana. Practical recommendations for overcoming these barriers are also proposed, e.g. developing standardised procedures and protocols, increasing awareness and education and integrating BIM-LCA into project management systems.
Harnessing the power of ChatGPT to promote Construction Hazard Prevention through Design (CHPtD)
Authors: Uddin S.M. Jamil , Albert Alex , Tamanna Mahzabin 
Published: October 2024

PurposeConstruction Hazard Prevention through Design (CHPtD) is recognized as a pivotal strategy for enhancing workplace safety. Despite its theoretical potential, practical implementation faces challenges, particularly regarding designers' familiarity with field-level operations and hazard recognition. This study aims to investigate whether ChatGPT can address these challenges by assisting in hazard recognition during CHPtD sessions.Design/methodology/approachThe research utilized a randomized controlled experiment to assess ChatGPT as an intervention in supporting hazard recognition during CHPtD sessions. The study involves 162 civil and construction engineering student participants, representing future professionals. Participants engaged in hazard recognition during CHPtD sessions either with or without the assistance of ChatGPT.FindingsParticipants who utilized ChatGPT during CHPtD sessions demonstrated a significant improvement in hazard recognition, identifying approximately 40% more hazards compared to those who did not use ChatGPT. These findings underscore the efficacy of ChatGPT in supporting CHPtD efforts.Practical implicationsThe results highlight the practical utility of harnessing ChatGPT in CHPtD sessions to enhance hazard recognition and ultimately promote workplace safety. By leveraging ChatGPT, designers and engineers can better anticipate and mitigate potential hazards during the design phase, thus creating a safer working environment for field workers.Originality/valueThis research contributes to addressing the challenges associated with implementing CHPtD by introducing ChatGPT as a valuable tool to support hazard recognition. By demonstrating the effectiveness of ChatGPT in enhancing hazard identification during CHPtD sessions, this study offers a novel approach to promoting the adoption of CHPtD and advancing workplace safety initiatives.
The roles of supply chain integration, eco-design and digital transformation in improving sustainable construction performance
Authors: Le Phuoc Luong , Nguyen Mai Quynh , Pham Hai Thanh 
Published: October 2024

PurposeEnhancing sustainable construction supply chain performance is crucial and can be achieved through supply chain integration, eco-design and digital transformation. This study aims to evaluate the impacts of supply chain integration, eco-design and digital transformation on the performance of construction supply chains.Design/methodology/approachThis study uses the PLS-SEM model to analyze the data collected by survey. Experts’ evaluation also validated the results of the structural model.FindingsSustainable supply chain performance in construction projects is significantly impacted by supply chain integration, eco-design and digital transformation. The results also suggest that supply chain integration and eco-design can be enhanced by focusing on digital transformation.Research limitations/implicationsConstruction managers can enhance the performance of sustainable construction supply chains. This study contributes to the understanding of sustainable supply chain management in the construction sector, which is consistent with dynamic capacities theory.Originality/valueCurrent research has not examined the roles of supply chain integration, eco-design and digital transformation in enhancing sustainable supply chain performance in the construction industry. These roles have been superficially considered in prior studies.
Data envelopment analysis for performance measurement in the construction field: a systematic review
Authors: Hu Xiancun 
Published: October 2024

PurposeThis paper systematically presents a critical review of data envelopment analysis (DEA) for performance measurement in the construction field.Design/methodology/approachThe review approach consists of a systematic literature search, validation analysis and content analysis. The paper systematically reviews previous papers according to the year of publication, journal, authors, region, research keywords, performance measurement indicators and methodology framework.FindingsA total of 192 journal papers from the first year of publication to 2022 are identified. DEA applications have increased over the years, particularly after 2020. All of the top five journals which published the most identified papers are Q1 journals. Around 74 primary indicators of performance measurement are recognised for the construction industry, company and project levels. A total of 21 top keywords are identified and then divided into five clusters using VOSviewer. DEA has been widely utilised to measure construction performance and benchmark technologies, particularly where sustainable development performance has become a popular topic recently.Practical implicationsHow to effectively distinguish performance indicators, collect research data, build DEA models and deeply analyse DEA results are illustrated for future practitioners. The performance measurement and improvement cycle based on DEA is provided. Research directions and method recommendations are developed for future scholars using DEA.Originality/valueThis is the first comprehensive review that has initially presented various performance indicators and a methodology framework for developing DEA models to investigate performance measurement in the construction field. The methodology framework of DEA is developed, including data collection, model construction and further analysis of DEA results.
Twirl Store: pioneering sustainable textile practices by closing the loop
Authors: Mishra Oly 
Published: October 2024

Learning outcomes
After completion of the case study, the students will be able to make strategic decisions for social entrepreneurship and carry out a sustainability and social impact analysis, assess the benefits of a circular economy-based retail model and investigate ways to preserve these benefits and recognize the ethical and sustainable issues facing the fast fashion sector and how social enterprises are addressing them.

Case overview/synopsis
The culture of fast fashion had proven to be dangerous for the environment as it had promoted a culture of consumerism and materialism. It had also increased the landfills in different countries. The need of the hour was to upcycle used and unwanted clothes into new innovative items. This idea had been practically implemented by Mrs Sujata Chatterjee of the Twirl Store, the protagonist of this case study. Chatterjee was a social entrepreneur who recognized the environmental and social problems caused by rapid fashion and abandoned apparel in landfills. She launched the Twirl Store, a social enterprise with the mission of advancing circular economy and sustainability practices in the textile sector. Rural women were economically and culturally empowered by the enterprise’s upcycling of used clothing using their abilities, and a sustainable source of income was created. Finding abandoned clothing, sorting and processing it effectively and locating clients who share her commitment to sustainability were difficult tasks for Chatterjee. Despite the difficulties, the Twirl Store served as an example of how circular economy concepts, cultural sustainability and women’s empowerment might be combined, highlighting the importance of social entrepreneurship in addressing global concerns and fostering positive social effects and economic impact.

Complexity academic level
This case study is applicable for undergraduate as well as post graduate students of management studies.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
The shift from performance measurement to performance management in local government: do performance measurement systems support the drivers of performance data use?
Authors: Rivenbark William C. , Vignieri Vincenzo 
Published: October 2024

PurposeThe authors explore how performance measurement systems have evolved over the past 20-plus years to support the drivers of measurement system maturity, outcome measures and benchmarking, which contribute to performance data use in local government.Design/methodology/approachThe authors use a case study of three municipalities in the United States to determine how performance measurement systems have changed from their FY 1994–95 operating budgets to their FY 2021–22 operating budgets, focusing on the selected departments of fire services, solid waste and human resources. They also conducted interviews to explore organizational context.FindingsThe authors find mixed results regarding the ability of performance measurement systems to support the drivers of performance data use in local government. While the municipalities have made some progress in transitioning from output to outcome measures, they continue to rely upon ad hoc approaches regarding measurement system maturity and benchmarking.Practical implicationsThe authors provide several recommendations based on their findings, including that the academic community has an opportunity to provide training to local officials to help them create more robust performance measurement systems.Originality/valueThe authors provide clear evidence that more research is needed on the drivers of measurement system maturity, outcome measures and benchmarking to better understand why some local governments embrace these drivers while others do not.
To be or not to be: self-compassion and academic buoyancy in university
Authors: Dang An H. , Middlemiss Wendy 
Published: October 2024

PurposeAcademic buoyancy refers to a student’s adaptive response to overcome common academic-related stress and challenges. Guided by social cognitive theory, we investigated the relation between students' academic buoyancy and their endorsement of compassionate and uncompassionate self-responding.Design/methodology/approachStudents from a Minority-serving, Hispanic-serving public university (N = 112) completed an online survey assessing academic buoyancy (Martin and Marsh, 2008) and self-compassion (Neff, 2003). We conducted a hierarchical regression analysis with uncompassionate and compassionate self-responding as predictors and academic buoyancy as the outcome.FindingsCompassionate self-responding (i.e. self-kindness, common humanity and mindfulness) explained additional variance above and beyond what uncompassionate self-responding (i.e. self-judgment, isolation and overidentification) explained in the model. Uncompassionate self-responding components emerged as the strongest predictors of academic buoyancy.Originality/valueLimited research exists regarding the relation between self-compassion and academic buoyancy, especially in the higher education setting. This research indicates that student compassionate self-responding is associated with students’ adaptive response to overcoming academic setbacks, stress and challenges. The findings of the current research could have meaningful implications for university officials’ efforts in helping students overcome academic-related setbacks and achieve academic success in higher education. University offices, programs and communities can focus on compassionate self-responding to support students in overcoming common school-related setbacks. Programs could be developed to move students away from uncompassionate self-responding as a means of promoting buoyancy.