bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mitochondria isolated from male skeletal muscle contain a distinct population of miRNA that are differentially expressed following acute exercise
Authors: Silver Jessica L. , Loke Stella , Hiam Danielle , Croft Larry , Soria Megan , Nielsen Søren , Lamon Séverine , Wadley Glenn D. 
Published: October 2024

ABSTRACTInitially thought to localise at the cytosol and nucleus only, emerging evidence indicates that miRNAs also localise within the mitochondria where they could regulate diverse pathological and physiological processes. Therefore, the aim of the current study was to use small RNA sequencing to profile and compare the entire population of miRNAs in human skeletal muscle of healthy males in whole-tissue and in isolated mitochondria at rest and in response to acute endurance exercise. Twelve healthy males (age 26 ± 4 years, mean ± SD) cycled for 60 min at 70% VO2peakand muscle biopsies were collected at rest, immediately after and 3 h after exercise. The mitochondria were isolated by immunoprecipitation, further purified, then the resident RNA was sequenced to assess the mitochondrial transcriptome. Small RNA sequencing revealed that mitochondria isolated from male skeletal muscle tissue contain a small and distinct population of miRNAs. Of the approximately 110 mature miRNAs detected in skeletal muscle mitochondria at each time-point, the canonical myo-miRs miR-1, miR-133 and miR-206 families constituted on average 45% of total mitochondria miRNA reads. However, none of these canonical myo-miRs were differentially expressed in mitochondria following endurance exercise. One miRNA, hsa-miR-146b-3p, was differentially expressed in both whole muscle tissue and mitochondria when adjusted for multiple testing (FDR <0.05). Future research is now required to investigate miRNA-mRNA interactions in the mitochondria of skeletal muscle tissue.KEY POINTS SUMMARYEmerging evidence suggests microRNA are localised in the mitochondria of skeletal muscle cells and may play a role in regulating mitochondrial function.We recently optimised an approach to isolate RNA from mitochondria of human skeletal muscle that is free from contaminating cytosolic RNA and suitable for RNA sequencing.In this study we examined the microRNA population from male skeletal muscle mitochondria before and in the hours following 60 minutes of moderate intensity cycling exercise.We detected around 110 microRNAs in skeletal muscle mitochondria, with the muscle enriched myo-miR such as miR-1, miR-133 and miR-206 families constituting almost half of the reads. However, only one microRNA, hsa-miR-146b-3p, was differentially expressed whereby it increased ∼ 10-fold following exercise.The results provide new knowledge into how mitochondria might be regulated at the subcellular level and in response to physiological stressors such as exercise.
SUMOylation differentially regulates SMCHD1 complex formation and function in a genomic context-specific manner
Authors: Goossens Remko , Tihaya Mara S. , Willemsen Iris M. , Straasheijm Kirsten R. , van der Vliet Patrick J. , González Prieto Roman , Vertegaal Alfred C.O. , Tapscott Stephen J. , Balog Judit , van der Maarel Silvère M. 
Published: October 2024

AbstractStructural Maintenance of Chromosomes Hinge Domain Containing 1 (SMCHD1) is a chromatin repressor regulating gene expression and chromatin architecture of distinct autosomal and X-chromosomal loci. SMCHD1 mutations cause derepression of the D4Z4 macrosatellite repeat-embeddedDUX4gene in skeletal muscle of facioscapulohumeral muscular dystrophy (FSHD) patients Little is known about the regulation and post-translational modification of SMCHD1. Here we report the SUMOylation dynamics of SMCHD1 and its impact on autosomal single copy and repetitive loci, and the inactive X chromosome (Xi).We identify that SMCHD1 is SUMOylated primarily at lysine 1374, uncover factors regulating SMCHD1 SUMOylation, and demonstrate that SMCHD1 interacts with chromatin repressors TRIM28, HNRNPK and SETDB1 in a SUMO-dependent manner. We find that SUMOylation impacts Xi engagement of SMCHD1, maintenance of a repressive D4Z4 chromatin structure preventing DUX4 expression, and regulation ofLRIF1promoter activity. The rapid, SUMO-dependent upregulation ofDUX4could explain the bursts of DUX4 expression typical for FSHD muscle.
Improving the diffraction quality of heat-shock protein 47 crystals
Authors: Kish Kevin , Cobell Stephen , Szapiel Nicolas , Yan Chunhong , Newitt John A. , Tredup Jeffrey , Rodrigo Iyoncy , Tomasco Elizabeth , Gao Mian , Marsilio Frank , Haugner John , Lipovšek Dasa , Deng Bi , Bousquet Patrick , Zhang Yihong , Schmidt Holly , Sheriff Steven 
Published: October 2024

Heat-shock protein 47 (HSP47) is a potential target for inhibitors that ameliorate fibrosis by reducing collagen assembly. In an effort to develop a structure-based drug-design system, it was not possible to replicate a previous literature result (PDB entry 4au4) for apo dog HSP47; instead, crystal forms were obtained in which pairs of dog HSP47 molecules interacted through a noncleavable C-terminal His-tag to build up tetramers, all of which had multiple molecules of HSP47 in the asymmetric unit and none of which diffracted as well as the literature precedent. To overcome these difficulties, a two-pronged approach was followed: (i) the His-tag was moved from the C-terminus to the N-terminus and was made cleavable, and (ii) Adnectin (derived from the tenth domain of human fibronectin type III) crystallization chaperones were developed. Both approaches provided well diffracting crystals, but the latter approach yielded crystal forms with only one or two HSP47 complexes per asymmetric unit, which made model building less onerous.
When work–life balance fails to boost organizational citizenship behaviors: the moderating role of leader–member exchange
Authors: Nguyen Vinh Le , Haar Jarrod 
Published: October 2024

PurposeSupporting employees’ work–life balance (WLB) has been a standard human resource management practice, thus the concern is now shifted toward its outcomes. The present study predicts that while WLB can boost organizational citizenship behaviors (OCBs), this positive effect may depend on the quality of leader–member exchange (LMX) relationships. The study seeks evidence to clarify how the WLB–OCBs relationship can be moderated by the LMX quality.Design/methodology/approachA sample of 216 frontline employees in New Zealand was used to test two moderation models using SPSS, AMOS and PROCESS macro.FindingsWLB was found to have substantial effects on OCBs-individual (OCBs-I) and OCBs-organization (OCBs-O) if the quality of LMX was high. Under low LMX quality, however, WLB failed to boost OCBs-I and OCBs-O. Thus, the influence of WLB on OCBs seems to be conditional on the leader–subordinate relationship as a boundary factor.Practical implicationsSupporting low-LMX-quality employees to balance their work–life roles seems insufficient to push OCBs. Managers and organizations need to improve the quality of leader–subordinate relationships to unblock the desired effects of WLB toward OCBs, and, ultimately, organizational effectiveness and performance.Originality/valueThe findings extend the research stream around the boundary impact of LMX relationships on the employees’ WLB – OCBs link in which the OCBs construct was especially examined in terms of OCBs-I and OCBs-O.
A LSTM algorithm-driven deep learning approach to estimating repair and maintenance costs of apartment buildings
Authors: Kim Ji-Myong , Yum Sang-Guk , Adhikari Manik Das , Bae Junseo 
Published: October 2024

PurposeThis study proposes a deep learning algorithm-based model to predict the repair and maintenance costs of apartment buildings, by collecting repair and maintenance cost data that were incurred in an actual apartment complex. More specifically, a long short-term memory (LSTM) algorithm was adopted to develop the prediction model, while the robustness of the model was verified by recurrent neural networks (RNN) and gated recurrent units (GRU) models.Design/methodology/approachRepair and maintenance cost data incurred in actual apartment complexes is collected, along with various input variables, such as repair and maintenance timing (calendar year), usage types, building ages, temperature, precipitation, wind speed, humidity and solar radiation. Then, the LSTM algorithm is employed to predict the costs, while two other learning models (RNN and GRU) are taught to validate the robustness of the LSTM model based on R-squared values, mean absolute errors and root mean square errors.FindingsThe LSTM model’s learning is more accurate and reliable to predict repair and maintenance costs of apartment complex, compared to the RNN and GRU models’ learning performance. The proposed model provides a valuable tool that can contribute to mitigating financial management risks and reducing losses in forthcoming apartment construction projects.Originality/valueGathering a real-world high-quality data set of apartment’s repair and maintenance costs, this study provides a highly reliable prediction model that can respond to various scenarios to help apartment complex managers plan resources more efficiently, and manage the budget required for repair and maintenance more effectively.
Ergos: redefining storage infrastructure and market access for small farmers in India
Authors: Kumari Shwetha , M Vineeth 
Published: October 2024

Learning outcomes
After completion of the case study, students will be able to analyse the path of the entrepreneurship from idea generation to market development to scaling up business, examine the impact of start-ups like Ergos on India’s agriculture value chain, discuss the challenges faced by tech entrepreneurs in growing a business, identify problems solved by Grain Bank Model and evaluate digitisation of farming’s custodial services such as warehousing, market linkages and loans.

Case overview/synopsis
The case study discusses how founders of Ergos, India-based leading digital AgriTech start-up, Kishor Kumar Jha and Praveen Kumar, started one of the unique models in the AgriTech landscape in India. After noticing the grim condition of small and marginal farmers in Bihar, India. Kishor and Praveen decided to put their banking and corporate experience to use in the farming sector. Ergos aimed to empower farmers by providing them with a choice on when, how much quantity, and at what price they should sell their farm produce, thus maximising their income. As a result, Ergos launched the grain bank model, which provided farmers with doorstep access of end-to-end post-harvest supply chain solutions by leveraging a robust technology platform to ensure seamless service delivery. Ergos faced many challenges in its journey related to financing, marketing and distribution. Amidst these developments, it remained to be seen how Kishor and Praveen would be able to realise their goal to serve over two million farmers across India by 2025 and create a sustainable income for them through its GrainBank Platform.

Complexity academic level
This case study was written for use in teaching graduate and postgraduate management courses in entrepreneurship and business strategy.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship
Digital transformation and resilience in family business: an exploratory study of generational dynamics
Authors: Del Vecchio Pasquale , Secundo Giustina , Garzoni Antonello 
Published: October 2024

PurposeThe paper aims to contribute to the advancement of the debate on digital innovation and entrepreneurship from a cross-generational perspective in the context of family businesses. Specifically, the paper explores the contribution provided by the young generations of entrepreneurs to the digital transformation and resilience of family businesses during the pandemic emergence of COVID-19. Focusing on the need for a major understanding of digital resilience in the context of family businesses and small and medium-sized enterprises, the paper aims to provide theoretical and empirical contributions in replying to the following research question: How did young entrepreneurs contribute to the resilience and the digital transformation of their family businesses during COVID-19?Design/methodology/approachThe methodology consisted of a two-stage qualitative investigation including a focus group managed in presence with the involvement of 24 young entrepreneurs and a self-administered online survey involving the family businesses belonging to the Association of Young Entrepreneurs of Confindustria Puglia (South Italy) that has allowed to collect 47 replies, with a 32% response rate.FindingsThe paper presents evidence about the resilience of family businesses during the COVID-19 supported by the disruptive role of emerging digital technologies. Our analysis demonstrates that young entrepreneurs adopted different patterns of digital transformations, depending on the firm’s industry and the family firm’s digital maturity. Digital resilience in the context of the observed family businesses produced different benefits in terms of competitiveness, effectiveness of decision-making, visibility and communication and new opportunities for value creation; it occurred in several business areas, including production, logistics, sales and human resources management.Practical implicationsThe study highlights the relevant role that younger generations can play in exploring innovation opportunities associated with digitalisation as well as in contributing to reinforce innovation and resilience capability of their family businesses through collaboration with external stakeholders and ecosystems.Originality/valueThe value of the research consists in the attempt to analyse the meaning and implication of digital innovation in the context of family business as a driver for their resilience capability. The Family Businesses Digital Readiness and Young Entrepreneurs Contributions Matrix presented into the study as an original contribution of synthesis of the evidence collected.
Integrating forecasting methods to support finite element analysis and explore heat transfer complexities
Authors: Fatima Maryam , Kim Peter S. , Lei Youming , Siddiqui A.M. , Sohail Ayesha 
Published: October 2024

Purpose
This paper aims to reduce the cost of experiments required to test the efficiency of materials suitable for artificial tissue ablation by increasing efficiency and accurately forecasting heating properties.

Design/methodology/approach
A two-step numerical analysis is used to develop and simulate a bioheat model using improved finite element method and deep learning algorithms, systematically regulating temperature distributions within the hydrogel artificial tissue during radiofrequency ablation (RFA). The model connects supervised learning and finite element analysis data to optimize electrode configurations, ensuring precise heat application while protecting surrounding hydrogel integrity.

Findings
The model accurately predicts a range of thermal changes critical for optimizing RFA, thereby enhancing treatment precision and minimizing impact on surrounding hydrogel materials. This computational approach not only advances the understanding of thermal dynamics but also provides a robust framework for improving therapeutic outcomes.

Originality/value
A computational predictive bioheat model, incorporating deep learning to optimize electrode configurations and minimize collateral tissue damage, represents a pioneering approach in interventional research. This method offers efficient evaluation of thermal strategies with reduced computational overhead compared to traditional numerical methods.
Lean process mining: adopting process mining in lean manufacturing for dynamic process mapping and avoiding waste occurrence in real time
Authors: Khakpour Rouhollah , Ebrahimi Ahmad , Seyed-Hosseini Seyed-Mohammad 
Published: October 2024

Purpose
This paper aims to recommend a method entitled “lean process mining (LPM)” for mapping, analyzing and improving the material/information flows in the value stream of manufacturing processes.

Design/methodology/approach
The method is developed based on literature review and in-depth explorative research in value stream mapping and process mining approaches. The proposed LPM framework consists of three phases including as-realized process state, improvement strategies and reengineered process state. Hence, firstly, extracts the as-realized model, measures the identified wastes and identifies the sources of wastes. Secondly, implements prediction-recommendation-prevention strategies. Thirdly, reengineers the process model and measures the improved wastes.

Findings
It presents the applicability of the proposed approach in (1) online observation of manufacturing process behavior and tracing the process deviations dynamically in real time to identify the sources of waste; (2) avoiding defective products occurring during the production and eliminating the relevant derived wastes including wasted material, wasted energy, waste of labor, excess inventory, increased production lead time and wasted operational costs.

Originality/value
The practical application of LPM is illustrated through implementing it in a real-life manufacturing case. The outcomes prove the remarkable applicability of this method in lean manufacturing to avoid waste occurrence in the value stream.
Leadership in federally qualified health centers: examining recruitment and retention in rural Oklahoma
Authors: Hamby Courtney , Smock Carissa R. 
Published: October 2024

Purpose
Healthcare workforce shortages, particularly in rural areas, present a global challenge. The purpose of this study is to explore the leadership dynamics within federally qualified health centers (FQHC) in rural Oklahoma, focusing on recruitment, retention, job satisfaction and development practices.

Design/methodology/approach
Eighteen managers with five or more years of tenure from Oklahoma FQHCs were interviewed. Leadership’s role in influencing job satisfaction, recruitment, retention and development practices was analyzed using a multilevel ecological framework through qualitative content analysis with NVivo.

Findings
The analysis includes ten key themes including the critical role of leadership in addressing recruitment and retention challenges, the importance of aligning organizational culture, rural culture, access challenges, trainings and values with workforce development initiatives, and the impact of leadership practices on job satisfaction.

Originality/value
This study uniquely examines leadership strategies in rural FQHCs, integrating ecological considerations for cultural, logistical and community-specific factors. It emphasizes the pivotal role leadership plays in shaping workforce development. As rural healthcare evolves, refining these approaches is crucial for addressing workforce challenges, improving healthcare access and ensuring that rural FQHCs remain sustainable, driving positive outcomes for healthcare professionals and communities.
Common auditor, knowledge transfer and audit quality: international evidence
Authors: Fu Siwen , Kim Jeong Bon 
Published: October 2024

Purpose
Using an international sample of firms affiliated with a business group, this paper aims to investigate the audit quality of common auditors, i.e. auditors shared by multiple firms affiliated with the same business group.

Design/methodology/approach
This paper utilizes a large sample of group-affiliated firms from 35 regions. Following the frameworks of DeFond and Zhang (2014) and Fung et al. (2017), this paper measures audit quality using the absolute value of abnormal accruals and modified audit opinions. Ordinary least squares (OLS) regression is used to address the research question.

Findings
The findings demonstrate that audit quality improves for firms that share the same auditor with other group members. Importantly, cross-country analyses reveal that this relationship is stronger when auditors operate in countries with stricter local auditor inspection programs and an overall opaque information environment. Additionally, the impact of common auditors on audit quality is more pronounced for group affiliates that have a more opaque firm-level information environment and are monitored by heightened institutional ownership.

Practical implications
While affiliates are more likely to select the same audit firms as common auditors, the evidence regarding the effects of common auditors is mixed. The results of this study provide further insights into auditor choices for group-affiliated firms and offer a potential avenue for better protecting shareholders' interests.

Originality/value
The results of this study add to the ongoing debates regarding the costs and benefits of common auditor choice for group affiliates. To the best of the authors’ knowledge, this study is the first to demonstrate that the effects of common auditors may vary in different external environments.
Impact of logistics pooling on reduction of CO2 emissions in last-mile logistics
Authors: El Moussaoui Alaa Eddine 
Published: October 2024

Purpose In previous years, there has been a peak in deliveries from all sectors. Consequently, the number of transport vehicles on urban roads has also increased. Unsurprisingly, this increase leads to many environmental problems, including increased carbon emissions. This paper attempts to examine this issue by addressing the impact of logistics pooling on the reduction of CO2 emissions in last-mile logistics. The aim is to see which of the logistics pooling options can minimize more CO2 emissions and in particular reach the threshold fixed by the Moroccan Agency of Logistics Development which is 30% until 2030.Design/methodology/approach The author conducted a simulation study. The sample was chosen from the economic pillar of the Moroccan Kingdom, namely Casablanca.Findings The results indicate that two pooling strategies lead to a higher level of environmental performance compared to the objective set up by the Moroccan Agency of Logistics Development (Direct Upstream and Downstream Transport: 44.39%/Multi-pick Upstream Transport and Multi-drop Downstream Transport: 30.93%). However, the first strategy remains the best one, as it not only minimizes emissions but also reflects the practices already implemented by several carriers and logistics service providers.Practical implications Successfully implementing these strategies in Casablanca could serve as a model for other cities facing similar challenges, demonstrating the viability and benefits of logistics pooling. Ultimately, the reduction in CO2 emissions aligns with global environmental goals, contributing to the fight against climate change and promoting a healthier urban environment for residents. By leveraging simulation technology, Casablanca can make significant strides toward more sustainable and efficient last-mile logistics, setting a precedent for green urban logistics practices.Originality/value Given Morocco’s significant geostrategic position, the urban logistics sector plays a crucial role in the development of Arab countries. The findings of this study can offer valuable insights for policymakers aiming to achieve sustainable economic growth. Additionally, to the author’s knowledge, this is the first study to focus on logistics pooling and carbon emissions in Arab nations. The paper further contributes by highlighting important directions for future research.