bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypothalamic hormone deficiency enables physiological anorexia
Authors: Mohr Sarah M. , Pra Rafael Dai , Platt Maryann P. , Feketa Viktor V. , Shanabrough Marya , Varela Luis , Kristant Ashley , Cao Haoran , Merriman Dana K. , Horvath Tamas L. , Bagriantsev Sviatoslav N. , Gracheva Elena O. 
Published: March 2023

AbstractMammalian hibernators survive prolonged periods of cold and resource scarcity by temporarily modulating normal physiological functions, but the mechanisms underlying these adaptations are poorly understood. The hibernation cycle of thirteen-lined ground squirrels(Ictidomys tridecemlineatus)lasts for 5–7 months and comprises weeks of hypometabolic, hypothermic torpor interspersed with 24–48-hour periods of an active-like interbout arousal (IBA) state. We show that ground squirrels, who endure the entire hibernation season without food, have negligible hunger during IBAs. These squirrels exhibit reversible inhibition of the hypothalamic feeding center, such that hypothalamic arcuate nucleus neurons exhibit reduced sensitivity to the orexigenic and anorexigenic effects of ghrelin and leptin, respectively. However, hypothalamic infusion of thyroid hormone during an IBA is sufficient to rescue hibernation anorexia. Our results reveal that thyroid hormone deficiency underlies hibernation anorexia and demonstrate the functional flexibility of the hypothalamic feeding center.
Ultrafast and long-range coordination of wound responses is essential for whole-body regeneration
Authors: Fan Yuhang , Chai Chew , Li Pengyang , Zou Xinzhi , Ferrell James E. , Wang Bo 
Published: March 2023

SummaryInjury induces systemic, global responses whose functions remain elusive. In addition, mechanisms that rapidly synchronize wound responses through long distances across the organismal scale are mostly unknown. Using planarians, which have extreme regenerative ability, we report that injury induces Erk activity to travel in a wave-like manner at an unexpected speed (∼1 mm/h), 10-100 times faster than those measured in other multicellular tissues. This ultrafast signal propagation requires longitudinal body-wall muscles, elongated cells forming dense parallel tracks running the length of the organism. Combining experiments and computational models, we show that the morphological properties of muscles allow them to minimize the number of slow intercellular signaling steps and act as bidirectional superhighways for propagating wound signals and instructing responses in other cell types. Inhibiting Erk propagation prevents cells distant to the wound from responding and blocks regeneration, which can be rescued by a second injury to distal tissues within a narrow time window after the first injury. These results suggest that rapid responses in uninjured tissues far from wounds are essential for regeneration. Our findings provide a mechanism for long-range signal propagation in large and complex tissues to coordinate cellular responses across diverse cell types, and highlights the function of feedback between spatially separated tissues during whole-body regeneration.
Length-dependent translation efficiency of ER-destined proteins
Authors: Sahinbegovic Hana , Vdovin Alexander , Snaurova Renata , Durech Michal , Nezval Jakub , Sobotka Jiri , Hajek Roman , Jelinek Tomas , Simicek Michal 
Published: March 2023

AbstractGene expression resulting in the generation of new proteins is a fundamental process critical for every living organism. Particularly in eukaryotic cells, complex organization of the cell body requires fine-tuning of every step prior to de novo protein synthesis. To ensure proper localization, certain mRNAs possess unique signal sequence, which destinies the translation apparatus to the specific organelle. Here we focus on the mechanisms governing the translation of signal sequence-bearing mRNAs, which encode proteins targeted to the endoplasmic reticulum (ER). The binding of a signal-recognition particle (SRP) to the translation machinery halts protein synthesis until the mRNA-ribosome complex reaches ER membrane. The commonly accepted model suggests that mRNA containing the ER signal peptide continuously repeats the cycle of SRP binding followed by association and dissociation with ER. In contrast with the current view, we show that the long mRNAs remain on the ER while being translated. On the other hand, due to a low ribosome occupancy, the short mRNAs continue the cycle always facing the translation pause. Ultimately, this leads to a significant drop in the translation efficiency of small, ER-targeted proteins. The proposed mechanism advances our understanding of selective protein synthesis in eukaryotic cells and provides new avenues to enhance protein production in biotechnological settings.
Measuring preservice science teachers’ performance on engineering design process tasks: implications for fostering STEM education
Authors: Shahat Mohamed A. , Al-Balushi Sulaiman M. , Al-Amri Mohammed 
Published: March 2023

PurposeThe purpose of the current study is to assess Omani teachers’ performance on tasks related to the stages of engineering design. To achieve this, data from an engineering design test was used, and demographic variables that are correlated with this performance were identified.Design/methodology/approachThis descriptive study employed a cross-sectional design and the collection of quantitative data. A sample of preservice science teachers from Sultan Qaboos University (SQU) (n = 70) participated in this study.FindingsFindings showed low and moderate levels of proficiency related to the stages of engineering design. Differences between males and females in terms of performance on engineering design tasks were found, with females scoring higher overall on the assessment. Biology preservice teachers scored higher than teachers from the other two majors (physics and chemistry) in two subscales. There were also differences between teachers studying in the Bachelor of Science (BSc) program and the teacher qualification diploma (TQD) program.Originality/valueThis study provides an overview, in an Arab setting, of preservice science teachers’ proficiency with engineering design process (EDP) tasks. It is hoped that the results may lead to improved instruction in science teacher training programs in similar contexts. Additionally, this research demonstrates how EDP competency relates to preservice teacher gender, major and preparation program. Findings from this study will contribute to the growing body of research investigating the strengths and shortcomings of teacher education programs in relation to science, technology, engineering and mathematics (STEM) education.
A bibliometric analysis of digital technologies use in construction health and safety
Authors: Dobrucali Esra , Sadikoglu Emel , Demirkesen Sevilay , Zhang Chengyi , Tezel Algan , Kiral Isik Ates 
Published: March 2023

PurposeConstruction is a risky industry. Therefore, organizations are seeking ways towards improving their safety performance. Among these, the integration of technology into health and safety leads to enhanced safety performance. Considering the benefits observed in using technology in safety, this study aims to explore digital technologies' use and potential benefits in construction health and safety.Design/methodology/approachAn extensive bibliometrics analysis was conducted to reveal which technologies are at the forefront of others and how these technologies are used in safety operations. The study used two different databases, Web of Science (WoS) and Scopus, to scan the literature in a systemic way.FindingsThe systemic analysis of several studies showed that the digital technologies use in construction are still a niche theme and need more assessment. The study provided that sensors and wireless technology are of utmost importance in terms of construction safety. Moreover, the study revealed that artificial intelligence, machine learning, building information modeling (BIM), sensors and wireless technologies are trending technologies compared to unmanned aerial vehicles, serious games and the Internet of things. On the other hand, the study provided that the technologies are even more effective with integrated use like in the case of BIM and sensors or unmanned aerial vehicles. It was observed that the use of these technologies varies with respect to studies conducted in different countries. The study further revealed that the studies conducted on this topic are mostly published in some selected journals and international collaboration efforts in terms of researching the topic have been observed.Originality/valueThis study provides an extensive analysis of WoS and Scopus databases and an in-depth review of the use of digital technologies in construction safety. The review consists of the most recent studies showing the benefits of using such technologies and showing the usage on a systemic level from which both scientists and practitioners can benefit to devise new strategies in technology usage.
IMSI Indore: coping with COVID-19 VUCA in higher education
Authors: Shroff Arvind , Karthik BSS , Rai Himanshu 
Published: March 2023

Learning outcomes
This comprehensive case has been written for an undergraduate-level course on general management and a post-graduate-level course on organizational behavior and strategic management. After working through the case and conducting an in-depth discussion of the assignment questions, students will be able to do the following: 1. perform a comprehensive assessment of the institute’s internal context to measure its resources and preparedness to deal with COVID-19; 2. apply organizational change frameworks (to understand the trigger of the change, type of change and change process); 3. qualitatively analyze the dynamic capabilities and resources available to reopen the institute; and 4. suggest ways to institutionalize agility in the organization to improve the preparations and future responses to student management on campus based on a thorough analysis.

Case overview/synopsis
Founded in 1996, the Indian Managerial Studies Institute, Indore, has emerged as a leader in management education by appropriately weaving the pertinent roles of industry, government and PSUs into a common thread. With the onset of COVID-19 in March 2020, IMSI Indore began to respond to educational and administrative challenges by building on resilient strategies. Two decision-making situations cropped up as the situation improved and again converged to the more lethal second wave in March 2021. Dr Hemant Vishwas, Dean of IMSI Indore, needed to determine whether the institute should continue with the reduced employee and hybrid classroom model or reopen with full-fledged operations for the following academic year.

Complexity academic level
This comprehensive case has been written considering the teaching pedagogy for an undergraduate-level course on organizational behavior (organizational development and change module) and a post-graduate-level course on organizational behavior and strategic management. This case is suitable for courses on organizational development, change and strategy implementation. Organizational behavior and organizational development and change can be used to understand the core concepts of the change content and process, i.e. the scope and scale of the change. The case also touches on inducing a dynamic change in response to the pandemic in an educational setting, teaching the concepts of dynamic capabilities. It is also expected to be useful for teaching courses related to operations strategies in educational services for executive degree programs and faculty development workshops.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 6: Human Resource Management.
Authentic talent development in sociocultural context: interdisciplinary perspectives
Authors: Debebe Gelaye 
Published: March 2023

Purpose
This paper aims to describe how the multidisciplinary studies in the special issue expand and enrich the framework of authentic talent development in sociocultural context.

Design/methodology/approach
The study presents a framework of authentic talent development in sociocultural context and identifies key themes from the seven interdisciplinary studies of the special issue to enrich and expand our understanding of sociocultural barriers to authentic talent development for individuals from low-income and minoritized communities, including women.

Findings
The studies included in the special issue illustrate several ways in which social identity ascription truncates the talent trajectory of individuals from low-income and minoritized groups. They also show how ascription processes can be mitigated through policy, reformed organizational structure and practice and growth fostering relationships.

Practical implications
The findings of this paper have implications for developing strategies to mitigate social identity ascription in talent development in the domains of public policy, schooling and the workplace.

Originality/value
The special issue brings together contributions from multiple disciplines to holistically understand the nature of social identity ascription in talent development across the life course. Collectively, the contributions identify a number of complimentary tools at several levels that might allow effective mitigation of social identity ascription processes, facilitating authentic talent development for individuals from low-income and minoritized communities.
A fuzzy logic approach for measuring flood resilience at community level in Nigeria
Authors: Olatunji Ezekiel Olaoluwa , Adebimpe Oluseye Adewale , Oladokun Victor Oluwasina 
Published: March 2023

Purpose
Flood resilience is a critical concept in flood risk management (FRM). Meanwhile, flood resilience measurement has become vital for making the business case for investment in FRM. However, information is sparse on measuring the level of resilience of flood-prone communities in Nigeria. Therefore, this study aims to develop a fuzzy logic-based model for measuring the resilience of flood-prone communities towards achieving the United Nations Sustainable Development Goals (SDGs) 11 and 13.

Design/methodology/approach
This study describes the development of a fuzzy logic-based flood resilience measuring model, drawing on a synthesis of fuzzy logic literature and extant flood resilience. A generalisation of the flood system for a typical Nigerian community was made. It was followed by an identification and characterisation of the variables and parameters of the system based on SDGs 11 and 13. The generated data was transformed into a fuzzy inference system (FIS) using three input community flood resilience dimensions: natural, socio-technical and socio-economic factors (SEF). The model was then validated with primary data obtained from selected flood-prone communities in Ibadan, Southwest Nigeria. Expert opinions were used in rating the input dimensions for the selected communities.

Findings
In spite of various inputs from experts in the same study area (Apete, Ibadan, Nigeria), the resulting FIS generated consistent resilience indices for various natural, socio-technical and SEF. This approach can strengthen flood resilience measurement at the community level.

Originality/value
Although previous attempts have been made to measure flood resilience at the individual property level (Oladokun et al., 2017; Adebimpe et al., 2020), this research focuses on measuring flood resilience at the community level by adapting the fuzzy logic approach. The fuzzy logic-based model can be a tool for flood resilience measurement at the community level. It can also be developed further for regional and national level applications.
Blockchain-enabled supply chain operations and financing: the perspective of expectancy theory
Authors: Song Hua , Han Siqi , Yu Kangkang 
Published: March 2023

PurposeThis study examines the cognitive factors of adopting blockchain technology in various supply chain scenarios and its role in reframing the distinctive values of supply chain financing. Based on expectancy theory, this study explores the different profiles underlying the components of expectancy, valence and instrumentality.Design/methodology/approachThis is a multiple-case study of four Fintech companies using blockchain technology to promote the performance of supply chain operations and financing.FindingsThe results show that blockchain-enabled supply chain finance (BSCF) can be classified into four scenarios based on the scope and purpose of blockchain technology applications. The success of BSCF depends on the profiles of BSCF expectancy (the recognized purpose and scope of BSCF), instrumentality (identified blockchain attributes and other technology combinations) and valence (the perceived distinctive value of BSCF). Blockchain attributes help solve information asymmetry problems and enhance financing performance in two ways: one is supporting transparency, traceability and verification of transmissions and the other entails facilitating a transformation to new business models.Originality/valueThis research applies a new perspective based on expectancy theory to study how cognitive factors affect Fintech companies' blockchain solutions under a given supply chain operation or financing activity. It explains the behavioral antecedents for applying blockchain technology, the situations appropriate for the different roles of blockchain technology and the profiles for realizing the value of blockchain technology.
Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks
Authors: Shiau Wen-Lung , Liu Chang , Zhou Mengru , Yuan Ye 
Published: March 2023

PurposeFacial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.Design/methodology/approachThis study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.FindingsResearch results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.Originality/valueTo the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.
Risk committee characteristics and risk disclosure in banks: evidence from an emerging economy
Authors: Hasan Arshad , Sufi Usman , Hussainey Khaled 
Published: March 2023

PurposeThis study aims to investigate the impact of risk committee characteristics on the risk disclosure of banking institutions in an emerging economy, Pakistan.Design/methodology/approachThe data are collected through a manual content analysis of 21 banks regulated by the State Bank of Pakistan over the period 2011–2020. The study utilizes the generalized least square (GLS) regression model as the method of analysis.FindingsThe study finds that risk committee size is positively associated with risk disclosure, which is in line with agency theory. However, risk committee independence and risk committee gender diversity are negatively associated with risk disclosure. This contradicts the theoretical perspective and is explained by the weak regulatory framework of Pakistan.Research limitations/implicationsThis study was carried out in a single research setting, which limits the generalizability of its findings to other developed and emerging economies.Practical implicationsThe results provide valuable insights for regulators by identifying the attributes that require regulatory focus to strengthen risk committees and enhance risk disclosure practices within the banking sector of Pakistan. The findings highlight the effectiveness of the risk committee size, call for fully independent risk committees and encourage greater representation of women in these committees.Originality/valueThis study contributes to the corporate governance literature by empirically examining the risk committee characteristics and their impact on the risk disclosure of banks in an emerging economy. Moreover, this study contributes to theory by utilizing upper echelon theory in addition to agency theory as the motivation for the study.
Introducing smart services: requirements and interconnections in multi-actor cooperation
Authors: Momeni Khadijeh , Vaittinen Eija , Jähi Markus , Martinsuo Miia 
Published: March 2023

PurposeSmart services have gained attention both among academics and practitioners, but manufacturing firms struggle in getting their new smart services extensively adopted by customers, employees and distributors. The purpose of this paper is to identify and analyse the requirements of different actors and the interconnectedness between their requirements in introducing smart services.Design/methodology/approachAn embedded single-case study was conducted with a manufacturing firm and its network, including its sales and service personnel, customers and external salespeople. Data were collected via 30 in-depth interviews.FindingsThe paper advances the multi-actor perspective by identifying the requirements of key actors for introducing smart services. These requirements were divided into eight categories: value of smart services, reliability of smart services, competence for smart services, data security and management, attitude towards services, reliance, knowledge of installed base of equipment and services and service reputation. The findings reveal the interconnectedness of different actors’ requirements for introducing new smart services and how discussion and relationships between actors affected their requirements.Practical implicationsThe findings represent a comprehensive template of requirements, as well as mapping the interconnectedness of actors’ requirements, serving as a practical guideline for managers.Originality/valueThis study characterises the introduction of smart services as a multi-dimensional, interconnected effort by manufacturing firms and their networks. It shows that service introduction cannot be viewed as manufacturer’s development task or customers’ adoption decision only. Propositions are offered on how multiple actors’ viewpoints can be combined to achieve success in introducing smart services.