bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modification of the Neck Linker of KIF18A Alters Microtubule Subpopulation Preference
Authors: Queen Katelyn A. , Cario Alisa , Berger Christopher L. , Stumpff Jason 
Published: May 2023

ABSTRACTKinesins support many diverse cellular processes, including facilitating cell division through mechanical regulation of the mitotic spindle. However, how kinesin activity is controlled to facilitate this process is not well understood. Interestingly, post-translational modifications have been identified within the enzymatic region of all 45 mammalian kinesins, but the significance of these modifications has gone largely unexplored. Given the critical role of the enzymatic region in facilitating nucleotide and microtubule binding, it may serve as a primary site for kinesin regulation. Consistent with this idea, a phosphomimetic mutation at S357 in the neck- linker of KIF18A alters the localization of KIF18A within the spindle from kinetochore microtubules to peripheral microtubules. Changes in localization of KIF18A-S357D are accompanied by defects in mitotic spindle positioning and the ability to promote mitotic progression. This altered localization pattern is mimicked by a shortened neck-linker mutant, suggesting that KIF18A-S357D may cause the motor to adopt a shortened neck-linker like state that prevents KIF18A from accumulating at the plus-ends of kinetochore microtubules. These findings demonstrate that post-translational modifications in the enzymatic region of kinesins could be important for biasing their localization to particular microtubule subpopulations.
Ghrelin delays premature aging in Hutchinson-Gilford progeria syndrome
Authors: Ferreira-Marques Marisa , Carvalho André , Franco Ana Catarina , Leal Ana , Botelho Mariana , Carmo-Silva Sara , Águas Rodolfo , Cortes Luísa , Lucas Vasco , Real Ana Carolina , López-Otín Carlos , Nissan Xavier , de Almeida Luís Pereira , Cavadas Cláudia , Aveleira Célia A. 
Published: May 2023

AbstractHutchinson-Gilford progeria syndrome (HGPS) is a rare and fatal genetic condition arising from a single nucleotide alteration in theLMNAgene, which leads to the production of a defective lamin A protein known as progerin. The buildup of progerin hastens the onset of premature and expedited aging. Patients with HGPS exhibit short stature, low body weight, lipodystrophy, metabolic dysfunction, and skin and musculoskeletal abnormalities and, in most cases, die of cardiovascular disease by their early teenage years. Currently, no effective cure or treatment for the disease highlights the importance of discovering new therapeutic strategies. Herein, we present evidence that the hormone ghrelin, besides promoting autophagy and progerin clearance, rescued several cellular hallmarks of premature aging of human HGPS fibroblasts. Using an HGPS mouse model,LmnaG609G/G609Gmice, we also show that ghrelin administration rescued the short-lived mice molecular and histopathological progeroid features, prevented progressive weight loss at later stages, reverted the lipodystrophic phenotype, and extended lifespan. Thus, we disclose that modulation of ghrelin signaling may give rise to new treatment targets and translational approaches that may improve outcomes and the health quality of HGPS patients and natural aging pathologies.
memo-eQTL: DNA methylation modulated genetic variant effect on gene transcriptional regulation
Authors: Zeng Yong , Jain Rahi , Ahmed Musaddeque , Guo Haiyang , Zhong Yuan , Xu Wei , He Housheng Hansen 
Published: May 2023

AbstractExpression quantitative trait locus (eQTL) analysis has become an important tool in understanding the link between genetic variants and gene expression, ultimately helping to bridge the gap between risk SNPs and associated diseases. Recently, we identified and validated a specific case where the methylation of a CpG site can affect the relationship between the genetic variant and gene expression. To systematically evaluate this regulatory mechanism, we developed an extended eQTL mapping method named DNA methylation modulated eQTL (memo-eQTL). We performed memo-eQTL mapping in 128 normal prostate samples and discovered 1,731 memo-eQTLs, a vast majority of which have not been reported as eQTLs. We found that the methylation of the memo-eQTL CpG sites can either enhance or insulate the interaction between SNP and Gene expression by altering CTCF-based chromatin 3D structure. This study demonstrated the prevalence of memo-eQTLs, which can enable the identification of novel causal genes for traits or diseases associated with genetic variations.
Simple and efficient auditory-nerve spike generation
Authors: de Cheveigné Alain 
Published: May 2023

AbstractThis brief paper documents a simple and efficient method to generate auditory-nerve spike trains for the purpose of simulating neural processes of auditory perception. In response to sound, each auditory nerve fiber carries information to the auditory brainstem in the form of a train of spikes (action potentials), the timing and rate of which reflect the sound. The generation process is usually approximated as Poisson process with a time-varying rate, further modified by refractory effects. The purpose, here, is to simulate spike generation as a time- and interval-dependent thinning process applied to a homogenous Poisson process, allowing for fast generation, cheap storage, and unlimited temporal resolution.
Dealing with the robotic trainer: strategies for managing emotions
Authors: Khandelwal Komal , Upadhyay Ashwani Kumar 
Published: May 2023

Purpose
This paper explores the management of emotions and emotional challenges that human trainees face when interacting with a robot or a humanoid trainer.

Design/methodology/approach
This study draws on existing academic and grey literature on robot and humanoids-based training with algorithms, bots, and artificial intelligence (AI).

Findings
The study highlights the need for personalized feedback, clear communication, and the establishment of trust between the trainee and robotic trainer. The study discusses the strategies to manage emotions like anger, disgust, fear, happiness, sadness, and surprise that are experienced by human trainees.

Practical implications
The research provides an accessible summary of setting realistic expectations for the emotional experience of working with a robotic trainer to help manage expectations and reduce disappointment.

Originality/value
The managers in charge of implementing robotic training programs can provide education and resources to help individuals effectively manage emotions when working with a robotic trainer.
Lux Industries Limited: a case of insider trading
Authors: Dhamija Sanjay , Nayyar Reena 
Published: May 2023

Learning outcomes
After reading the case, the students shall be able to explain the concept of insider trading and differentiate between illegal insider trading and legal insider trading, business ethics, financial institutions, financial markets and accounting; to interpret the legal framework for prevention of insider trading; to identify the role and significance of the market regulator, Securities and Exchange Board of India (SEBI), in detecting financial crimes such as insider trading; to demonstrate the association between information, stock trading and stock prices within the framework of efficient markets; and to appraise the ethical dilemma in a family-owned firm, where the family members of the promoter group are alleged to have indulged in a financial crime.

Case overview/synopsis
The case revolves around allegations of insider trading against the promoter and the promoter group of the family owned and controlled firm, Lux Industries Limited. On January 24, 2022, the SEBI, the regulator of securities markets in India, accused Udit Todi, the Executive Director of Lux Industries Limited, of engaging in insider trading through a chain of 14 connected parties. Udit Todi was also the son of the Managing Director, Pradip Kumar Todi, and the nephew of the Executive Chairman, Ashok Kumar Todi. In its interim order, SEBI alleged a breach of insider trading regulations by a group of 14 connected entities that had built up long positions starting from May 21, 2021, before the quarterly financial results (Q4) and the annual results of the financial year (FY) 2021 in the equity shares of Lux Industries Limited, with its registered office in Kolkata, India, were announced. Subsequently, they squared off the long positions to make a profit of ₹29.43m. To restore the confidence of the investors, the Executive Chairman, Ashok Kumar Todi, needed to review the matter expeditiously and impartially. Taking into consideration the family ties of the accused, it was not going to be an easy task, yet, it had to be done. The case highlights the role of the regulator, SEBI, in unearthing financial frauds such as insider trading in an emerging market such as India.

Complexity academic level
Postgraduate programs in management, Executive education programs.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 1: Accounting and Finance
New insights into hotel customer’s revisiting intentions, based on big data
Authors: Marandi Aliakbar , Tasavori Misagh , Najmi Manoochehr 
Published: May 2023

Purpose
This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

Design/methodology/approach
This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

Findings
In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

Research limitations/implications
In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

Practical implications
This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

Originality/value
By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.
A critical review of technology-driven service innovation in hospitality and tourism: current discussions and future research agendas
Authors: Park Hyekyung , Lee Minwoo , Back Ki-Joon 
Published: May 2023

Purpose
With the increasing importance of technology in hospitality and tourism, technology-driven service innovation has been a salient topic discussed from both customers’ and suppliers’ perspectives. However, there has been a lack of research that provides an overview of research on technology-driven service innovation. The purpose of this study is to review current discussions on technology-driven service innovation and provide directions for future studies in the hospitality and tourism literature.

Design/methodology/approach
A total of 82 articles on technology-driven service innovation were collected from top-tier hospitality and tourism journals. The papers were analyzed using content analysis to derive key topics discussed in the literature. Such discussions were made by different service innovation categories, antecedents, outcomes and theories. Future research agendas were suggested based on the research gap found in the literature.

Findings
The results indicate that prior discussions on technology-driven service innovation viewed technology as a service or service delivery method, with limited focus on management, marketing and institutional service innovation. In addition, the study reveals five key topics that need further discussion, such as cocreative technology, human resources management, strategy management, emerging technology and digital transformation.

Research limitations/implications
While there have been increasing studies that reveal determining roles of technology in service innovation, scarce research introduced the new concept of technology-driven service innovation, suggesting a comprehensive approach. By adopting the unique approach of technology-driven service innovation, the research reveals the multifaceted roles of technology in service innovation and areas that need further discussion to implement highly sustainable strategies.

Originality/value
The research adds to the knowledge of technology-driven service innovation by providing a holistic view of current discussions, finding research gaps and proposing future research agendas for extended discussion.
If you don't care, I will switch: online retailers' behaviour on third-party logistics services
Authors: Ngah Abdul Hafaz , Thurasamy Ramayah , Han Heesup 
Published: May 2023

PurposeThe issue is which third-party logistics to engage, and escalating customer complaints about service quality of third-party logistics (3PL) enhances the tendency of online retailers to switch to another 3PL. The current study seeks to investigate the factors influencing the satisfaction and switching intention of 3PL services among online sellers in Malaysia.Design/methodology/approachApplying a purposive sampling method, data were gathered via an online survey among online sellers. Initially, the system gathered 418 respondents, but only 311 were useable for further analysis. Since we operationalised the measures as composites, a combination of reflective and formative measurement in the study and the study focuses on explanatory and predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed.FindingsThe results indicated that conflict handling had a positive effect on satisfaction, and satisfaction had a negative relationship with the switching intention of 3PL among the online retailers. Moreover, satisfaction and customer relationship management sequentially mediated conflict handling and switching intention, whereas CRM strengthens the negative relationship between satisfaction and switching intention.Research limitations/implicationsThe respondents only limit to the online sellers in Malaysia which based on purposive sampling method, thus the findings cannot be generalised to another countries.Practical implicationsThe study offers insightful information for the managers of the 3PL in crafting a better policy to avoid switching behaviour among their customers. The conflict between customers and providers is unavoidable since consumers have unlimited demand and businesses have limited resources. The findings also benefit online sellers and 3PL service providers to create attractive marketing strategies for business sustainability.Originality/valueThe study developed a new model for the 3PL studies using the S-O-R model in introducing conflict handling and customer relationship management as the stimulus, customer's satisfaction as an organism and switching intention as a response. The study introduced single and sequential mediators also contributes to the S-O-R theory to predict the switching intention among the online sellers towards the 3PL providers. Another important contribution, customer relationship management, was confirmed to play a moderating role to influence the relationship between satisfaction and switching intention.
Well-being measurement and the economic agent: a personalist perspective
Authors: Wdowin Julia 
Published: May 2023

PurposeThe aim is to contribute to the personalist economics research agenda by exploring how personalist thought can theoretically inform the question of well-being and its measurement.Design/methodology/approachThe paper draws on the work of personalist philosopher Emmanuel Mounier. After reviewing relevant aspects of Mounier's political economic thought, the second section considers the conceptual implications for a personalist well-being measure and analyses its key tenets: integrality; heterogeneity; objectivity vs. subjectivity; and autonomy and freedom. The third section consists of a dialogue between Mounier's personalist philosophy and some aspects of Sen's capability approach applied to the issue of well-being measurement, which echoes and parallels some fundamental dimensions of personalist thought.FindingsFirstly, the conceptual analysis offers preliminary avenues for moving towards measuring well-being using an agent model that aligns more closely with the model of the economic agent as person, as is articulated by personalists and incorporating personalist principles. Secondly, the brief analysis of ways in which aspects of Sen's capability theory dialogue with personalist economic principles demonstrate the potential for personalist principles to be incorporated into welfare assessment theory.Originality/valuePersonalist economics strives to re-think the foundations of economic theory by introducing the acting person as the economic agent, as opposed to the individual. Dissatisfaction with a range of mainstream economic well-being indicators suggests that there is a deficit in the normative and ontological assumptions that underlie conventional welfare economic models.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0084.
Experiment on interest-free microfinance products
Authors: Wazir Abdulahi Ahmed , Durmuşkaya Sedat 
Published: May 2023

Purpose
The main purpose of this study is to experiment with interest-free microfinance (IFMF) products and investigate the factors affecting IFMF institutions.

Design/methodology/approach
This study uses both quantitative and qualitative data types that will be collected through questionnaires, secondary data, interviews and experimental tests to answer key questions. The collected data were analyzed using repeated-measures analysis ANOVA. This study determines the factors affecting the default rate of Islamic microfinance (MF) products, and evaluates the repayment performance of IFMF products using field experiments.

Findings
The participants found that the repayment performance level is higher than that of Qard Al-Hassan, which shows that it is one of the best mechanisms to reduce the default rate among borrowers. It has been observed that women have higher repayment performance than men, and those with different income sources have higher repayment performance levels than those who do not. This study showed that the effects of age, marital status and educational status on the repayment performance level of the participants were not statistically significant. In addition, it was shown that the participants’ status of having or not having children did not have a significant effect on the level of repayment performance.

Originality/value
This study differs from other studies in two ways. First, in terms of field experimentation, this study focuses on the practical impact of IFMF products on customer reimbursement performance. Second, this study tested different demographic variables that could affect the reimbursement performance.
Consumer-to-consumer conflicts and brand moderation strategies during COVID-19 service failures: a framework for international marketers
Authors: Dineva Denitsa , Breitsohl Jan , Roschk Holger , Hosseinpour Masoumeh 
Published: May 2023

PurposeSince the start of the COVID-19 pandemic, one dark social-media phenomenon in particular has experienced a significant rise: consumer-to-consumer (C2C) conflicts, i.e. consumers who verbally attack each other in response to COVID-19 service failures. The aim of this paper is to uncover the sources of such conflicts and to gain an insight into the corresponding conflict moderation strategies that international brands adopt.Design/methodology/approachThe methodology consists of non-participatory netnographic observations of 13 national, international, and global online brand communities (OBCs) on Facebook. The authors use purposeful sampling to collect relevant data on conflict sources and brand moderation strategies during COVID-19 service failures and a hybrid approach to thematic analysis to derive distinct themes from these data.FindingsThe paper identifies five C2C conflict sources: brand attack, brand dissatisfaction, brand skepticism, brand contention and brand defense; these are then classified as having either an individualistic (self-oriented) or collectivistic (other-oriented) orientation. The authors also uncover several moderation strategies: non-engaging, automated, bolstering, asserting (direct, indirect) and informing (factual, empathetic, apologetic), which are broadly categorized into two levels based on their passive vs active approach and authoritative vs cooperative orientation. The paper further highlights that brands adapt their moderation strategies to specific sources of C2C conflicts, thereby producing a range of OBC outcomes.Practical implicationsThe study's empirically informed framework comprising sources of undesirable conflicts and brand moderation strategies offers a practical tool that can aid marketing managers in nurturing civil C2C engagement and interactive behaviors in their OBCs. By adopting our framework, brand and marketing practitioners can tailor their communication strategies toward different sources of C2C conflict and minimize their adverse consequences, thus, fostering an overall constructive OBC engagement.Originality/valueThe authors offer a novel framework to international marketing research, consisting of C2C conflict sources and corresponding moderation strategies that take place in response to service failures during the COVID-19 pandemic. These insights, in turn, inform international marketers about new ways of transforming the dark side of OBCs into a source of competitive advantage based on real-world brand practice.
Integrated use of KOS and deep learning for data set annotation in tourism domain
Authors: Aracri Giovanna , Folino Antonietta , Silvestri Stefano 
Published: May 2023

PurposeThe purpose of this paper is to propose a methodology for the enrichment and tailoring of a knowledge organization system (KOS), in order to support the information extraction (IE) task for the analysis of documents in the tourism domain. In particular, the KOS is used to develop a named entity recognition (NER) system.Design/methodology/approachA method to improve and customize an available thesaurus by leveraging documents related to the tourism in Italy is firstly presented. Then, the obtained thesaurus is used to create an annotated NER corpus, exploiting both distant supervision, deep learning and a light human supervision.FindingsThe study shows that a customized KOS can effectively support IE tasks when applied to documents belonging to the same domains and types used for its construction. Moreover, it is very useful to support and ease the annotation task using the proposed methodology, allowing to annotate a corpus with a fraction of the effort required for a manual annotation.Originality/valueThe paper explores an alternative use of a KOS, proposing an innovative NER corpus annotation methodology. Moreover, the KOS and the annotated NER data set will be made publicly available.