bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function
Authors: Molendijk Jeffrey , Blazev Ronnie , Mills Richard J. , Ng Yaan-Kit , Watt Kevin I. , Chau Daryn , Gregorevic Paul , Crouch Peter J. , Hilton James B.W. , Lisowski Leszek , Zhang Peixiang , Reue Karen , Lusis Aldons J. , Hudson James E. , James David E. , Seldin Marcus M. , Parker Benjamin L. 
Published: August 2022

AbstractImproving muscle function has great potential to improve the quality of life. To identify novel regulators of skeletal muscle metabolism and function, we performed a proteomic analysis of gastrocnemius muscle from 73 genetically distinct inbred mouse strains, and integrated the data with genomics and >300 molecular/phenotypic traits via quantitative trait loci mapping and correlation network analysis. These data identified thousands of associations between protein abundance and phenotypes and can be accessed online (https://muscle.coffeeprot.com/) to identify regulators of muscle function. We used this resource to prioritize targets for a functional genomic screen in human bioengineered skeletal muscle. This identified several negative regulators of muscle function including UFC1, an E2 ligase for protein UFMylation. We show UFMylation is up-regulated in a mouse model of amyotrophic lateral sclerosis, a disease that involves muscle atrophy. Furthermore, in vivo knockdown of UFMylation increased contraction force, implicating its role as a negative regulator of skeletal muscle function.
A machine learning model for disease risk prediction by integrating genetic and non-genetic factors
Authors: Xu Yu , Wang Chonghao , Li Zeming , Cai Yunpeng , Young Ouzhou , Lyu Aiping , Zhang Lu 
Published: August 2022

AbstractPolygenic risk score (PRS) has been widely used to identify the high-risk individuals from the general population, which would be helpful for disease prevention and early treatment. Many methods have been developed to calculate PRS by weighted aggregating the phenotype-associated risk alleles from genome-wide association studies. However, only considering genetic effects may not be sufficient for risk prediction because the disease risk is not only related to genetic factors but also non-genetic factors, e.g., diet, physical exercise et al. But it is still a challenge to integrate these genetic and non-genetic factors into a unified machine learning framework for disease risk prediction. In this paper, we proposed PRSIMD (PRS Integrating Multi-source Data), a machine learning model that applies posterior regularization to integrate genetic and non-genetic factors to improve disease risk prediction. Also, we applied Mendelian Randomization analysis to identify the causal non-genetic risk factors for the selected diseases. We applied PRSIMD to predict type 2 diabetes and coronary artery disease from UK Biobank and observed that PRSIMD was significantly better than the methods to calculate PRS including p-value threshold (P+T), PRSice2, SBLUP, DMSLMM, and LDpred2. In addition, we observed that PRSIMD achieved the better predictive power than the composite risk score.
In vivo suppression of polyglutamine aggregation via co-condensation of the molecular chaperone DNAJB6
Authors: de Mattos Eduardo Preusser , Musskopf Maiara Kolbe , Bergink Steven , Kampinga Harm H. 
Published: August 2022

AbstractAmyloidogenic protein aggregation is a hallmark of several human neurodegenerative conditions, including Alzheimer’s, Parkinson’s, and Huntington’s disease (HD). Mutations and/or environmental stresses trigger conformational transition of specific proteins to amyloids, conferring them with gain of toxic function, which eventually leads to cell death in distinct brain areas. Cumulative data indicate that modulation of specific molecular chaperones can alleviate many of the pathological features of protein aggregation diseases. We previously showed that the Hsp70 co-chaperone DNAJB6 is among the strongest suppressors of amyloid aggregation, and that moderate DNAJB6 overexpression significantly extents lifespan of a mouse model of aggressive HD pathology. DNAJB6 alone delays amyloidogenic aggregation in vitro by several orders of magnitude at substoichiometric ratios, but its activity in cells is less efficient, albeit still markedly superior to most known anti-amyloidogenic agents. This suggests that downstream PQC factors are necessary for full DNAJB6-mediated suppression of aggregation in vivo, which might have to be co-stimulated in therapeutic strategies targeting DNAJB6 action. We explored here the PQC pathways required for optimal DNAJB6 inhibition of polyglutamine (polyQ) aggregation, focusing on the two main cellular proteolytic machineries: proteasomes and macroautophagy. Unexpectedly, DNAJB6 activity was largely insensitive to chemical blockage of either degradative pathway. Instead, live cell imaging unveiled a co-condensation mechanism of DNAJB6 with mobile polyQ assemblies. DNAJB6 was not required for polyQ condensation, but its expression increased the percentage of cells with mobile condensates by a factor of 3, suggesting that DNAJB6 prevents polyQ condensates to convert from the soluble to the solid state. This in turn, may keep the polyQ peptides competent for (regulated) degradation and accessible to factors allowing its extraction from the condensed state.
Do markets react to corporate governance reforms? Evidence from a developing economy
Authors: Ndegwa James Ndirangu 
Published: August 2022

Purpose
The purpose of this study is to investigate market reaction to corporate governance reform pronouncements on board diversity in Kenyan listed firms.

Design/methodology/approach
An event study was performed using 240 days pre-event period and an event period that consisted of 25 days pre and 25 days post the March 2016 board diversity reforms announcement in Kenya. The difference in differences (DiD) method was also used for cause–effect analysis for two years before and three years after the March 2016 board diversity reforms announcement. The outcome variable was firm value, whereas the treatment and control groups were Kenyan listed firms and deposit-taking credit unions, respectively.

Findings
The event study method found cumulative abnormal returns after the date of the board diversity reforms announcement to be positive and significant. The DiD methods found a positive and significant market reaction to the March 2016 board diversity reforms announcement in Kenya.

Research limitations/implications
This study was limited by the secondary data that was collected and analyzed from financial statements and stock price data from the Nairobi Securities Exchange (NSE). Financial statements have the disadvantage of being affected by the judgment and estimates of their preparers or accountants.

Practical implications
Emerging markets like the NSE are vulnerable to market manipulation by insiders. Efficient stock markets are known to attract more investors who are interested in a trustworthy stock price determination mechanism. The Capital Market Authority should thus continue implementing corporate governance reforms aimed at improving the efficiency of the NSE and the trustworthiness of stock prices therein. The continued reforms thus imply better value for money for the NSE investors.

Originality/value
This study makes an important contribution to literature by combining an event study and DiD analysis to assess market reaction to board diversity reform announcements in emerging markets of sub-Saharan Africa which is a concept that has not been researched before. Past studies have used event studies to investigate the efficiency status of stock markets in sub-Saharan Africa, whereas the current study used an additional method of DiD and hence contributed to literature.
Nonkululeko Gobodo: a challenger challenged
Authors: Ndaba Zanele , Mitchell Clare , Ngxola Nomonde 
Published: August 2022

Learning outcomes
This case study aims to ensure that, students should be able to recognise the behaviours that influence the in-member out-member categorisation that transpires in the workplace, both from the leader’s perspective and that of the followers; determine and understand the relevance of forming interpersonal relationships in the workplace and that interpersonal relationships create fundamentally positive or negative work experiences and impact on career opportunities in the workplace; gain an understanding of the internal bias and subjective comfort that leaders must actively overcome to establish an environment in which the entire team becomes in-group members; and be able to assess the contextual variables that contribute to the negative or positive aggravation of the leader–member exchange.

Case overview/synopsis
It was 16 October 2014, and Nonkululeko Gobodo, Executive Chair of accounting firm SizweNtsalubaGobodo, was looking to her younger sister, Notemba Dlova, for emotional support, as she sought to address an important issue that was on the agenda of the firm’s board of directors’ meeting the following day. Tensions between her and Victor Sekese, Chief Executive Officer of the firm, were mounting, and a number of the directors were unhappy with the status quo. “How do you think I should address the issue?” she asked Dlova. Both sisters knew that at stake was Gobodo’s future at the firm she had battled so hard to build up in the face of racial and gender stereotypes.

Complexity academic level
The case study is appropriate for use in a range of postgraduate courses aimed at Master’s in Management and Master of Business Administration (MBA)-level students. It is also suitable for use in postgraduate diplomas in business and executive education short courses.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 6: Human Resource Management.
Front-end of innovation: a systematic review and lifecycle analysis
Authors: de Oliveira Maicon Gouvea , Mendes Glauco Henrique de Sousa , Mendes Serrano Karina 
Published: August 2022

PurposeThis study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and conceptual development.Design/methodology/approachThis study analysed 355 papers published from 1987 to 2020 in the Scopus and Web of Science databases through bibliometrics, network analysis and content analysis.FindingsThis study reveals FEI research themes and topics and explores their evolution through three periods. In addition, following a lifecycle approach, it also sets the research field foundation and discusses the maturity and potential progress of the FEI intellectual structure.Originality/valueThis study complements the existing FEI reviews by capturing the most relevant topics in the area, showing how these topics relate to each other to form the intellectual domain and providing insights concerning the research progress through different lifecycle stages. It also extends the FEI database used in the other literature reviews.
AI-driven banking services: the next frontier for a personalised experience in the emerging market
Authors: Sheth Jagdish N. , Jain Varsha , Roy Gourav , Chakraborty Amrita 
Published: August 2022

PurposeArtificial intelligence (AI) is used by banking services primarily to automate systems; however, this ecosystem does not work in emerging markets because human intervention is needed, and there are concerns related to infrastructure. There is plenty of research on AI-mediated banking services, but the existing discussions are cumbersome, and studies on AI's service features in banking for emerging markets are limited. Furthermore, the ongoing discussions are centred on developed markets where automation in banking services is noteworthy and accepted. Through this paper, the authors emphasise the relevance of AI mediation in emerging markets and the possible role of strategising AI in banking services for personalised experiences.Design/methodology/approachThe authors' article followed an exploratory, inductive approach through in-depth interviews and thematic analysis. In total, 36 financial experts were interviewed, and the relevant perspectives were analysed to develop the research process and framework for a personalised banking experience.FindingsThe authors' paper introduced five key themes and presented those themes accordingly. The first theme details the importance of AI-mediated banking and the skills necessary for operational capacity. The second theme is on the relevance of AI-mediated banking awareness amongst users. The third is about channelling the importance of AI-driven interfaces through managers and employees. Fourth, the authors emphasised the relevance of human intervention due to users' demographic patterns. The fifth theme led to a discussion on personalised AI-mediated banking services.Research limitations/implicationsThe authors recommend that managers understand the relevance of quality service amongst users. The authors' paper discusses the relevance of AI and human intervention in banking services; however, the process for seamless, personalised banking experiences is not provided. Thus, this paper encourages managers to build a banking ecosystem that delivers a seamless banking experience through AI.Originality/valueThe authors' paper highlights the importance of human intervention in AI-driven banking by introducing personalised service experience elements and highlighting the role of customer experience in AI-driven banking services in emerging markets.
Fast food consumption value: examining the moderating role of process value
Authors: Lee Kiwon , Hyun Jonghan , Lee Youngmi 
Published: August 2022

Purpose
Fast food consumption is examined through the theoretical lens of the food consumption value model. Specifically, this study aims to examine whether process value moderates the impact of fast-food consumption value on consumer decision-making.

Design/methodology/approach
Data is collected from 380 US consumers via a self-administered online questionnaire. Structural equation modeling and moderated mediation analysis are used to test the relationships between fast-food consumption values (product value, location value, emotional value, social value and process value), attitude and behavioral intention.

Findings
Location value (physical and experiential environment of fast-food consumption) and emotional value (positive affect from fast-food consumption) of fast food positively influence behavioral intention through positive attitude toward fast food. Positive impact of product value (physical attributes of fast food) on behavioral intention through attitude is attenuated by process value (consumers’ level of concern on sustainability of fast-food production).

Practical implications
Fast-food restaurants should prioritize their investments in providing location value (e.g. pleasant restaurant atmosphere) and emotional value. It is also important to take caution in focusing too much on product value and consider investing more resources into implementing sustainable practices.

Originality/value
The consumption value-based approach not only updates previous understanding of fast-food consumption behavior but also offers insights on how consumers’ decision-making process is influenced by their perception toward sustainability issues of fast-food production.
Enhancing the strategic alignment between environmental drivers of sustainability and the performance management system in Italian manufacturing firms
Authors: Hristov Ivo , Appolloni Andrea , Cheng Wenjuan , Venditti Michelina 
Published: August 2022

PurposeThe purpose of this paper is to provide managers with suitable strategic KPIs in decision-making processes, which aim to integrate the environmental dimension of sustainability at a business level in manufacturing organisations.Design/methodology/approachIn view of the research proposal addressed, semi-structured interviews were conducted, based on theoretical milestones of the performance management system (PMS), with 48 managers that work in Italian manufacturing firms and specialise in green practices.FindingsThe authors developed a novel environmentally performed framework to adequately integrate environmental value drivers at a strategic level.Practical implicationsThe resulting issues addressed in this paper, and their integration in the business strategy for managing environmental complexity, allows contributing, firstly, to the existing literature by suggesting the relevant key value drivers that need to be mostly studied from an accounting point of view. In addition, from these results, though their experience managers will have up-to-date key measures that could, in the future, help the integration process between the environmental aspect of the sustainability dimension and the PMS.Originality/valueThe results generate a robust roadmap for future analysis in this research field. Accordingly, the paper engenders a strategic alignment in the green transition process, providing scholars and practitioners with a clear view of the key sustainable drivers, metrics and potential solutions that have not been addressed to date.
Numerical simulation to research the collision and skidding of rolling elements for cageless bearings
Authors: Zhao Yanling , Wu Chuanwang 
Published: August 2022

Purpose
This paper uses numerical methods to investigate the collision and skidding of rolling elements in a cageless ball bearing. This paper aims to analyse the effects of the rotational speed and number of rolling elements on the rolling element collision and skidding.

Design/methodology/approach
Based on Hertzian theory and tribological theory, the collision contact model of the rolling element was established. Based on the proposed model, the differential equations of motion of the two degrees of freedom rolling element were constructed. The fourth-order Adams algorithm solved the collision contact force between the rolling elements. The sliding velocity between the rolling element and the inner and outer races was calculated.

Findings
The collision frequency and slip of rolling elements can be reduced by increasing the rotational speed appropriately and reducing the number of rolling elements by one.

Originality/value
The developed model can reveal the collision and slip characteristics of the rolling elements for cageless bearings. This study can provide theoretical guidance for the design and manufacture of cageless ball bearings.
Analyzing the causal nexus between CO2 emissions and its determinants in India: evidences from ARDL and EKC approach
Authors: Itoo Haider Hassan , Ali Nazim 
Published: August 2022

PurposeThe present study is a novel attempt to measure the impact of population growth, natural resource depletion, non-renewable energy consumption, growth of national income, remittances inflow and industrial output on carbon dioxide emissions in India during the period of 1980–2018.Design/methodology/approachAutoregressive distributive lag (ARDL) is used to achieve the objective. The application of FMOLS (fully modified ordinary least squares), DOLS (dynamic ordinary least squares) and CCR (canonical cointegrating regression) techniques illustrate statistical robustness.FindingsThe long-run ARDL results confirm that increase in population, national income and energy consumption have a positive and significant impact on pollution levels in India. In contradiction to this, long run results further reveal that the increase in natural resource depletion, industrial output and remittances inflow have insignificant and negative impact on pollution levels in India. Further, the empirical findings did not find any evidence for the applicability of the environmental Kuznets curve (EKC) in India during the study period.Research limitations/implicationsThe study is confined to only a few important determinants of CO2 emissions in India. However, there is a large chunk of studies that have incorporated other determinants of CO2 emissions. Specifying a few determinants of CO2 emissions in India is itself a lacuna in the present study. Moreover, taking the time period from 1980 to 2018 is also one of the limitations of the study.Practical implicationsPlenty of research has been devoted to the causal relationship between the environment and its various determinants. However, not much attention has been paid to investigating the association between population growth, natural resource depletion, energy consumption, GDP per capita, remittances inflow, industry and carbon dioxide emissions in India. Since, CO2 emissions are one of the widely accepted and applied emissions in EKC applications, which the present study intends to test. Moreover, the study employs advanced econometric techniques including ARDL framework, FMOLS, DOLS and CRR methodologies to achieve robust results. Such an investigation will potentially allow policymakers to frame efficient environmental and fiscal policies to achieve the desired results.Originality/valueThe continuous increase of CO2 emissions in India has compelled policy makers to prioritize this issue as soon as possible and formulate national environmental policy for reducing the share of carbon dioxides emissions in climate change. The study could constitute the focus of future research.
Innovation underperformance, socioemotional wealth and de-familization in family firms
Authors: Zhong Xi , Ren Liuyang , Ren Ge 
Published: August 2022

Purpose
The phenomenon of defamilization of family firms is gradually increasing for the growth of family firms, that is, nonfamily executives are increasingly present in the executive teams of family firms. Although previous scholars have identified various determinants of family firms' defamilization, whether and when innovation underperformance affects the decision to defamilize family firms has not been explore. This study aims to fill the aforementioned research gaps.

Design/methodology/approach
This study empirically tests the theoretical view based on the data of Chinese A-share family listed companies from 2009 to 2017.

Findings
The authors found that innovation underperformance drives family companies to increase the percentage of nonfamily executives in their executive teams. Further, the authors found that family firms are less willing to hire nonfamily executives with an increase in socioemotional wealth, particularly when founders of such businesses serve as directors or are major shareholders, even when they are not directors.

Originality/value
This study shows that innovation underperformance and socioemotional wealth are important predictors of family firms’ defamilization decisions.
Tourism seasonality: the causes and effects
Authors: Zvaigzne Anda , Litavniece Lienite , Dembovska Iveta 
Published: August 2022

PurposeThe aim of the paper is to examine and analyse the thematic literature on tourism seasonality and the causes and effects thereof.Design/methodology/approachThe paper is based on a review of scientific and theoretical research by various authors on tourism seasonality, in order to systematically analyse the causes and effects of the seasonal patterns in tourism activity.FindingsSeasonality is one of the most important features of tourism demand, and it has a significant effect on many aspects of the tourism industry. The literature review suggests that tourism seasonality is caused by natural and anthropogenic factors that have a very significant bearing on the geographical location of a tourist destination, as well as institutional and economic factors. Assessments of the effects of seasonality in the scientific literature differ. The effects of seasonality analysed in the relevant literature can be divided into four major categories: economic, employment, social and cultural as well as ecological.Originality/valueThe paper presents a systematic literature review on tourism seasonality and the causes and effects thereof.