bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immersive Virtual Reality Training and Surgical Skill: A Systematic Review & Recommendations for Future Research
Authors: Gilliland Ami , Gaughan Erin , Meek Hannah , Biyani Chandra Shekhar , Ijaz Faheem , Gabriel George , Mathew Ryan , Mushtaq Faisal 
Published: June 2024

ABSTRACTObjectivesIn recent years, consumer-grade immersive virtual reality (iVR) systems have gained increasing attention for their potential applications in surgical training. The relatively low cost and increasing quality of these systems make them an appealing alternative to specialist surgical simulators, but their efficacy in comparison to traditional training techniques remains unclear. In this paper, we systematically review the recent literature comparing the impact of iVR-based and other training techniques on surgical proficiency.MethodFive databases (Ovid MEDLINE, PsycINFO, EMBASE, Cochrane Library, Web of Science) were searched from 2016 to November 2023. 19 randomised controlled trials (totalling 593 participants) were identified as meeting the inclusion criteria for this review, involving trainee surgical participants being trained using iVR devices.ResultsData from the 19 articles showed that iVR training was at least as effective as other simulation-based methods and more effective than conventional methods at improving key measures of surgical proficiency, including error rate, accuracy, and procedure-specific knowledge, with a short duration (20 minutes to 2 hours) being optimal. While these results demonstrate the potential of iVR-based training technologies to support effective and low-cost surgical skill training, the heterogeneity of the training tools and analysis methods used in the identified studies limits mechanistic explanations of the systems’ efficacy.ConclusionsTo support more robust and generalisable research into iVR surgical skill training, we make recommendations for the design and reporting of future intervention studies in this area. This notably involves the standardisation of an iVR definition, improvements to studies including consideration of personal experiences, and considering the long-term impacts of these interventions.
Heavy neutral leptons from kaons in effective field theory
Authors: Beltrán Rebeca , Günther Julian , Hirsch Martin , Titov Arsenii , Wang Zeren Simon 
Published: June 2024

In the framework of the low-energy effective theory containing, in addition to the Standard-Model fields, heavy neutral leptons (HNLs), we compute the decay rates of neutral and charged kaons into HNLs. We consider both lepton-number-conserving and lepton-number-violating four-fermion operators, taking into account also the contribution of active-heavy neutrino mixing. Assuming that the produced HNLs are long-lived, we perform simulations and calculate the sensitivities of future long-lived-particle (LLP) detectors at the high-luminosity LHC as well as the near detector of the Deep Underground Neutrino Experiment (DUNE-ND) to the considered scenario. When applicable, we also recast the existing bounds on the minimal mixing case obtained by NA62, T2K, and PS191. Our findings show that, while the future LHC LLP detectors can probe currently allowed parameter space only in certain benchmark scenarios, DUNE-ND should be sensitive to parameter space beyond the current bounds in almost all the benchmark scenarios, and, for some of the effective operators considered, it can even probe new-physics scales in excess of 3000 TeV.

Published by the American Physical Society
2024
Bias-preserving computation with the bit-flip code
Authors: Tsutsui Shoichiro , Kanno Keita 
Published: June 2024

We explore the feasibility of fault-tolerant quantum computation using the bit-flip repetition code in a biased noise channel where only the bit-flip error can occur. While several logic gates can potentially produce phase-flip errors even in such a channel, we propose bias-preserving implementation of S, H, controlled-Z (CZ), and Rz gates. We demonstrate that our scheme improves the computational precision in several tasks such as the time evolution of quantum systems and variational quantum eigensolver.

Published by the American Physical Society
2024
Implications of risk-averse manufacturer on coordination of green supply chain with mixed carbon policies
Authors: Chen Shan , Fang Meiqi , Wang Linlin , Su Jiafu , Tuo Junbo 
Published: June 2024

PurposeThis paper intends to address the decision-making and coordination of green supply chain (GSC) considering risk-averse manufacturers under mixed carbon policy.Design/methodology/approachThis paper focuses on a GSC consisting of a manufacturer and a retailer, in which the manufacturer is risk-averse (R-A). This paper employs Stackelberg game theory and mean variance analysis to assess the pricing decision-making process under various scenarios. Furthermore, cost-sharing contracts are introduced to coordinate the GSC.FindingsThe research results suggest that the green level of the product and the profit of the GSC under a centralized scenario are higher than those under a decentralized scenario, while the retail price is lower. Under the decentralized scenario, the green level of product, wholesale price and manufacturer’s profit in the R-A scenario are lower than the values in the risk-neutrality scenario, while retailer's profit is higher. In addition, when a cost-sharing contract is utilized for coordination in the GSC, it can lead to Pareto improvement, regardless of whether the manufacturer makes risk-neutrality or R-A decisions.Originality/valueThis research provides a deeper understanding of GSC decision-making and coordination strategy under mixed carbon policy with consideration of R-A from a theoretical perspective and provides decision support for enterprises to choose strategies in practice.
Enhancing social enterprise coffee marketability through sensory packaging: consumer impressions, willingness to buy, and gender differences
Authors: Mabalay Adrian A. 
Published: June 2024

PurposeThis study investigates how consumers perceive the packaging of Philippine coffee social enterprise products and how this impression affects their willingness to purchase based on sensory expectations, brand attitude, product quality perception, and price perception.Design/methodology/approachFollowing a positivist research philosophy, this study used empirical methods, surveying 263 coffee consumers. The coffee packaging prototypes varied across material and graphic designs. The data was analyzed statistically using the Friedman test and Spearman correlation.FindingsIt was found that packaging elements elicit an equal share of emotional responses. Graphics have a greater impact than materials. Females are more affected by visuals, while materials influence males more. Further, packaging design correlates positively and significantly with consumer impressions and willingness to buy.Research limitations/implicationsThe sampling methodology limits generalizability. Future studies can use integrated models to analyze the effects of additional packaging variables like color and shape.Practical implicationsCoffee enterprises should focus on graphic rather than material elements. Paper packs with patterned graphics are most attractive to consumers. Targeted gender-sensitive packaging designs are needed. Standardized packaging can help build the Philippine coffee social enterprise industry and support small-scale farmer livelihoods. Environmentally sustainable materials should be prioritized.Social implicationsThe findings contribute to the success and growth of small-scale farmers and social enterprises in the Philippines. These businesses can attract more consumers, increase their market share, and ultimately generate more significant social impact by implementing packaging design strategies that effectively communicate product quality, sustainability, and social value.Originality/valueThe study uniquely integrates diverse methods to provide holistic insights into jointly analyzing the effects of packaging materials and graphics. It proposes an expanded conceptual role of packaging in shaping product perceptions using the affective response framework and Kansei approach.
Older adults' lived experiences of thermal comfort in senior-friendly accommodations for healthy aging in humid tropics
Authors: Chee Shi Yin 
Published: June 2024

PurposeAs climate change disproportionately affects vulnerable populations, ensuring thermal comfort for older adults is magnified in tropical senior living environments. This study explores the lived experiences of older adults' thermal comfort in senior living facilities in a tropical climate and how these experiences impact their overall well-being.Design/methodology/approachEmploying Moustakas' transcendental phenomenology and the Modified Stevick-Colaizzi-Keen method, this study investigated older adults' thermal experiences through semi-structured interviews with 28 participants in six urban senior living facilities in Malaysia.FindingsFour primary themes emerged: fabric and function; atmospheric conditions and living dynamics; thermal dynamics and environmental comfort; temperature tensions of stress, sound, and sensitivity. Our findings underscore the importance of considering the multisensory and multi-faceted nature of thermal comfort for older adults, considering sensory aspects, early life experiences, cultural practices, and personal preferences, particularly in tropical climates.Originality/valueAs one of the first to explore the thermal comfort of older adults in senior-friendly accommodations in a tropical climate, the findings provide a comprehensive understanding of older adults' diverse thermal comfort needs and offer practical recommendations for environments that support healthy aging. By integrating insights from hospitality, gerontology, and environmental studies, this research contributes to the promotion of public health and aligns with global objectives to improve the well-being of the aging population.
How and when negative workplace gossip influences service sabotage behavior? A study among hotel frontline employees in China
Authors: Zhang Yajun , Liu Yang , Zhang Junwei , Akhtar Muhammad Naseer , Wang Yongqi 
Published: June 2024

Purpose
Drawing upon the conservation of resources (COR) theory, this study aims to examine whether ego depletion mediates the relationship between negative workplace gossip and employees’ service sabotage behavior and whether psychological resilience moderates the relationship between negative workplace gossip and service sabotage behavior through the mediator of ego depletion among hotel frontline employees and their colleagues.

Design/methodology/approach
A paired sample was collected at three-time points from employees and their colleagues working in hotels in Guizhou province, China. The PROCESS macro for SPSS was applied to examine the moderated mediation model.

Findings
The results showed that negative workplace gossip has a positive effect on employee service sabotage behavior, and that ego depletion mediates the relationship between negative workplace gossip and employee service sabotage behavior. Psychological resilience weakens the relationship between negative workplace gossip and ego depletion, as well as the indirect effect of negative workplace gossip on employee service sabotage behavior through ego depletion.

Originality/value
The present research provides a thorough understanding of when and how negative workplace gossip influences employee service sabotage behavior in the hospitality industry. The findings of this moderated mediation relationship expanded the boundary conditions of negative workplace gossip and employee service sabotage behavior.
How COVID-19 pandemic affected business excellence: case studies from Greek companies
Authors: Metaxas Ioannis N. , Koulouriotis Dimitrios E. 
Published: June 2024

PurposeThis paper is the third part of a research effort that aims to identify how various crises affected basic business processes using Institut Européen d'Administration des Affaires (INSEAD’s) industrial excellence framework (IEF) in large organizations.Design/methodology/approachThis research compares three data sets from the same four companies against quality management benchmarks, with a span of more than two decades: (1) data collected in 2005 operating under a financially thriving corporate environment; (2) data collected in 2015, operating under a strong financial crisis and (3) data collected in 2022, operating under the serious COVID-19 crisis.FindingsThe authors identify the characteristics that helped them navigate successfully through almost two crises in a row. These companies successfully navigated crises by applying assessment and continuous improvement processes, forging close relationships with their suppliers and training their people systematically.Practical implicationsThe findings can be adopted by practitioners who wish to navigate their organizations during serious crises. Researchers and academics may also find this study interesting for managing quality during a pandemic.Originality/valueThere are not many studies that investigate how the pandemic influenced the quality management practices in organizations in Greece in sequential crises. This paper brings insights into the enduring advantages of adopting a quality framework.
The national rugby league and the Bundesliga: a study of brand hate
Authors: Beermann Simon , Hallmann Kirstin , Dickson Geoff , Naylor Michael E. 
Published: June 2024

PurposeThis study examined brand hate within the context of the (German) Bundesliga and (Australian) National Rugby League (NRL). The study pursued two research questions: (1) What types of brand hate were expressed towards the Bundesliga and the NRL? (2) To what extent did hateful comments attract more likes than non-hateful comments?Design/methodology/approachBrand hate was studied in the context of competition restrictions in 2020 due to the Covid-19 pandemic. We analysed reader comments posted below online articles published in three German (119 articles and 8,975 comments) and three Australian online newspaper articles (116 articles and 4,858 reader comments). The data were analysed deductively.FindingsNon-parametric tests found that all types of brand hate were expressed. Approximately 85% of the hateful comments were mild, or more specifically, cold (n = 445 or approximately 53%), or cool (n = 250 or approximately 30%), or hot (n = 20 or approximately 2%). Hateful comments attracted more likes than non-hateful comments.Originality/valueThis study advances our understanding of how negative brand perceptions underpin an extreme negative emotional reaction in the form of brand hate. The empirical evidence enables brand managers to better address disgusted, angry, or contemptuous consumers (or stakeholders) and consider whether the feeling is enduring, strong or weak, and linked to either aggressive or passive behaviours.
Artificial intelligent housekeeper based on consumer purchase decision: a case study of online E-commerce
Authors: Guo Yan , Tang Qichao , Wang Haoran , Jia Mengjing , Wang Wei 
Published: June 2024

PurposeThe rise of artificial intelligence (AI) and machine learning has largely promoted the emergence of “autonomous decision-making” (ADM). This paper aims to establish a personalized artificial intelligent housekeeper (AIH) that knows more about our hobbies, habits, personality traits, and shopping needs than ourselves and can replace us to do some habitual purchasing behavior.Design/methodology/approachWe propose an AI decision-making method based on machine learning algorithm, a novel framework for personalized customer preference and purchase. First, the method uses interactive big data to predict a potential consumer’s decision possibility. Then, the method mines the correlation between consumer decision possibility and various factors affecting consumer behavior. Finally, the machine learning algorithm is used to estimate the consumer’s purchase decision according to the comprehensive influencing factors data of the target consumer.FindingsThe experimental results show that the method can predict the regular consumption behavior of consumers in advance and make accurate decision-making behavior. It can find correlations from a large amount of data to help predict many simple purchase decisions in our life, and become our AIH.Originality/valueThis study introduces a new approach that not only has the auxiliary decision-making function but also has the decision-making function. These findings contribute to the research on automated decision-making process of AI and on human–technology interaction by investigating how data attributes consumer purchase decision to AI.
Nexus of essay writing and computer-assisted language learning (CALL) in English language classroom
Authors: Tariq Umbreen 
Published: June 2024

Purpose
This study aims to explore computer-assisted language learning (CALL) activities to improve the English essay writing of Pakistani university students. It highlights the role of CALL in the language proficiency model cognitive academic language proficiency (CALP), which can enable second language learners to engage in more critical thinking skills effectively. Furthermore, it aims to explore English language teachers’ experience about the use of CALL-based activities in English language classrooms or labs.

Design/methodology/approach
This study followed a pre-post study design to examine whether the structure of an essay and computer-based activities helped to improve English language proficiency among non-native speakers. This design is adopted to investigate the effects of CALL activities on students’ English essays. This study used data from 198 students and after this, four English teachers were interviewed to know their opinions and observations about these CALL-based activities and students’ essay writings. Pre- and post-test data was analysed in percentages and further examined through a t-test. The findings of teachers’ interviews were further analysed through Nvivo software to develop an understanding of research questions through significant themes.

Findings
The pre-test results confirmed that students’ language proficiency is underdeveloped and informal. Students needed help constructing introductory paragraphs with the reader’s hook, background information, three-point thesis statement and transitional hook. Whereas, post-test results showed that students’ English language proficiency in essay writing was found improved with the use of technological tools and CALL-based activities. Furthermore, it was observed that structure and teacher feedback in essay writing are vital for English proficiency.

Originality/value
This study benefits English language teachers, administrators, language policymakers and syllabus designers at colleges and universities. The debate over how to improve English language proficiency and academic achievement presents diverse challenges across several countries. Non-native speakers, at an undergraduate level, can significantly improve academically and become proficient in English essay writing with the help of structural guidelines and the use of educational technology. This article demonstrates a two-way process to improve an objective definition of English language development, which is conceivable if the technology is adopted.
“Revealing the future”: an ARIMA model analysis for predicting remittance inflows
Authors: Khan Imran , Gunwant Darshita Fulara 
Published: June 2024

PurposeThe purpose of this research is to develop a predictive model that can estimate the volume of remittances channeled toward Yemen’s economic reconstruction efforts.Design/methodology/approachThis study utilized a time-series dataset encompassing remittance inflows into Yemen’s economy from 1990 to 2022. The Box-Jenkins autoregressive integrated moving average (ARIMA) methodology was employed to forecast remittance inflows for the period 2023 to 2030.FindingsThe study’s findings indicate a downward trajectory in remittance inflows over the next eight years, with projections suggesting a potential decline to 4.122% of Yemen’s gross domestic product by the end of 2030. This significant decrease in remittance inflows highlights the immediate need for concrete steps from economic policymakers to curb the potential decline in remittance inflows and its impact on Yemen’s economic recovery efforts.Originality/valueThe impact of global remittance inflows on various macroeconomic and microeconomic factors has long been of interest to researchers, policymakers, and academics. Yemen has been embroiled in violent clashes over a decade, leading to a fragmentation of central authority and the formation of distinct local alliances. In such prolonged turmoil, foreign aid often falls short, providing only temporary relief for basic needs. Consequently, the importance of migrant remittances in sustaining communities affected by conflict and disasters has increased. Remittances have played a crucial role in fostering economic progress and improving social services for families transitioning from conflict to peace. Therefore, this study aims to estimate and forecast the volume of remittances flowing into Yemen, to assist in the nation’s economic reconstruction.
Selection of unmanned aerial vehicle systems for border monitoring using the MPSI-SPOTIS method
Authors: Torres Pablo Santos , Gomes Carlos Francisco Simões , Santos Marcos dos 
Published: June 2024

PurposeThe present paper assesses the decision problem of selecting Unmanned Aerial Vehicle Systems (SARP) by the hybrid MPSI-SPOTIS approach for deployment in border control and transborder illicit combat.Design/methodology/approachBy the hybrid MCDA MPSI-SPOTIS approach, and from the database available in Gettinger (2019), models were filtered by Endurance, Range, Maximum Take-Off Weight (MTOW), and Payload, fitting within the classification of Categories EB 0 and 2. Category EB 1 was not considered in this study due to the limited number of models in the data source.FindingsThe use of the Multi-Criteria Decision Analysis (MCDA) tool MPSI-SPOTIS allowed the determination of weights by stochastic criteria, applied in a ranking method resistant to reverse ordering. The application of the method identified the Raybird-3 (Cat EB 0) and Searcher (Mk3) (Cat EB 2) models as the best alternatives. From a proposed clustering, other selection possibilities with close performance in the evaluation were presented. The cost criterion was not taken into consideration due to the absence of information in the data source employed. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.Research limitations/implicationsThe cost criterion was not taken into consideration due to the absence of information in the data source used. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.Originality/valueThis paper aims to propose a technology selection method applied to complex defense acquisitions when multiple factors influence the decision makers and it is hard to obtain a major optimum solution in multitask and multi-mission platform.