bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optineurin is involved in regulating macrophage responses during mycobacterial infection
Authors: Ramachandran Gopalakrishna , Yeruva Chaitanya Veena , Swarup Ghanshyam , Raghunand Tirumalai R. 
Published: September 2023

AbstractAutophagy has emerged as a critical innate immune mechanism for host elimination of intracellular pathogens, however, the role of the autophagy receptor optineurin during mycobacterial infection is not fully understood. To address this lacuna, we infected bone marrow-derived macrophages (BMDMs) derived from Optn+/+and Optn-/-mice withMycobacterium smegmatis, and observed the infection outcome at sequential time points. While low multiplicity of infection (MOI) did not show any significant difference between BMDMs from the two groups, at high MOI Optn-/-mice-derived macrophages showed significantly lower colony forming unit counts, as well as lower cell counts at 12 h and 24 h post-infection. Quantification of cell numbers and nuclear morphologies at various time points post-infection indicated a markedly higher cell death in the optineurin-deficient macrophages. Optineurin-deficient macrophages showed significantly lower levels of the autophagosomal protein LC3-II upon infection, indicating a potential role for optineurin in regulating autophagy during mycobacterial infection. Moreover, when stimulated by bacterial LPS, optineurin deficient macrophages, showed altered levels of the inflammatory cytokine pro-IL-1β. These observations taken together suggest a novel regulatory role for optineurin during mycobacterial infection, with its deficiency leading to an impairment in macrophage responses.
Lean Six Sigma 4.0 – a framework and review for Lean Six Sigma practices in the digital era
Authors: Citybabu G. , Yamini S. 
Published: September 2023

PurposeLean Six Sigma 4.0 has brought about a paradigm shift in customization, automation, value creation and digitalization to achieve excellence in human factors, operations and sustainable development. Despite its potential, LSS 4.0 is still in its nascent stage, with researchers striving to identify the key and relevant components of LSS in relation to Industry 4.0. The present study aims to address this knowledge gap through a literature review and subsequently provide a conceptual framework for LSS within the context of digital transformation.Design/methodology/approachIn this study, the authors have conducted a thorough review of reputable articles published between 2011 and 2022, focusing on the integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0). By using appropriate keywords, the authors identified around 85 relevant articles. The main objective of this integrative literature review was to analyze and extract valuable knowledge from the existing literature on LSS and I4.0. Based on the authors’ findings, a conceptual framework was developed.FindingsThe review revealed the motivators, building blocks, tools and challenges of LSS 4.0. The conceptual framework delves into the key aspects of LSS 4.0, focusing on the dimensions of people, process and technology, as well as their subdimensions. These subdimensions serve as the building blocks for developing LSS 4.0 capabilities. The proposed framework visually represents the conceptualization and the relationships among its components.Research limitations/implicationsOnly a few conceptual approaches to LSS are developed that include the concepts, new roles and elements of I4.0. As a result, this research investigates the gap in current LSS models preceding I4.0 and develops a conceptual framework to provide a novel and comprehensive summary of the new concepts and components driving nascent and current LSS practices in the digital era.Practical implicationsThis study offers practical guidance for implementing LSS in the context of I4.0, emphasizing digital transformation. The findings highlight motivators, building blocks, tools, challenges and spread of LSS 4.0 practices, and present a conceptual framework of LSS 4.0. These insights can help organizations enhance their LSS capabilities and achieve excellence in human factors, operations and sustainable development.Originality/valueThis study aims to make a significant contribution to the model-building efforts of researchers focusing on LSS 4.0. By offering practical guidance, the points discussed in this study help enhance the implementation efforts of practitioners and organizations in the context of I4.0, with a specific focus on digital transformation. The guidance provided takes into account the perspectives of people, processes and technology, providing valuable insights for successful integration.
Construction of G2 continuous curve on point-cloud surface
Authors: Wang Kai , Wang Xiaoping 
Published: September 2023

PurposeThe curve construction on surfaces is becoming more and more important in computer-aided design (CAD), computer graphics (CG) and the other related fields. This problem is often encountered in NC machining, tool path generation, automated fiber placement and so on. However, designing curves on curved surfaces is quite different from constructing a curve in Euclidean space. Therefore, the traditional methods of curve design are not suitable for constructing a continuous curve on surface. The authors need to perform interpolation directly on surface so that the final target curve is embedded into the given surface and also meets the continuous conditions.Design/methodology/approachFirstly, adopting a series of Hermite blending functions, the authors design a space curve passing the given knots on the point-cloud surface. Then, the authors construct a class of directrixes that are adopted to determine vector fields for projection. Finally, a complete G2 continuous curve embedded in point-cloud surfaces is constructed by solving the first-order ordinary differential equations (ODEs).Findings The authors’ main contribution is to overcome the problem of constructing G1 and G2 continuous curves on point-cloud surfaces and the authors’ schemes are based on the projection moving least square (MLS) surfaces and traditional differential geometric.Originality/valueBased on the framework of projection MLS surfaces, a novel method to overcome the problem of constructing G2 continuous curves on point-cloud surfaces is proposed.
Development-ally focused: a review and reconceptualization of ally identity development
Authors: Martinez Larry , Sabat Isaac , Ruggs Enrica , Hamilton Kelly , Bergman Mindy , Dray Kelly 
Published: September 2023

PurposeAlthough allies have been shown to be effective at helping to ignite positive change for marginalized groups, the literature on ally identity development is fragmented.Design/methodology/approachWe draw from developmental, contextual, and identity theories to review the existing literature and focus squarely on the ally experience, resulting in a synthesized process-based conceptualization of ally identity development.FindingsAt each stage, we discuss intrapersonal experiences individuals are likely to have internally, interpersonal experiences that are likely to occur with others, and catalysts for progression to subsequent stages. In doing so, we outline the multilevel factors that influence and are influenced by ally development in hopes of identifying what motivates or dissuades individuals from becoming more active allies.Originality/valueWe provide practitioners and scholars with a deeper understanding of the organizational and societal benefits associated with allyship behaviors, as well as tools for increasing their presence within organizations.
A dynamic capability view of career adaptation: an exploratory study
Authors: Finch David J. , Levallet Nadège , Saunders Chad , Field Evelyn , Ribeiro Jason , Raby Simon , Roberts Michael , Uzoka Faith-Michael , Campbell Alexandria 
Published: September 2023

PurposeDisruptive forces, such as the global pandemic and technological innovation, are leading to growing labor uncertainty. For organizations, being able to adapt is a key skill for employees, while adapting to different employment contexts is increasingly essential for career success. This study leverages career adaptability theory and integrated dynamic capabilities to isolate skills enabling career adaptation.Design/methodology/approachA qualitative study was conducted to develop a skills codebook using a Delphi technique to converge on career adaptation skills, which was validated against leading meta-skills frameworks and a purposeful sample of 15 occupational competency models.FindingsThe codebook phase identified 24 distinct meta-skills in 6 clusters: problem-solving, self-reliance, collaboration, communication, core literacies and core workplace skills. Findings confirmed that most of the skills identified by the experts were also present across the meta-skills frameworks.Research limitations/implicationsThis study highlights research opportunities, including a recommendation to extend the codebook by conducting a large sample empirical study of occupational competency models.Practical implicationsAdaptive individuals remain attractive in the job market. With the proposed framework, individuals can systematically reflect on ways to develop career adaptation skills. Other stakeholders should support the development of skills that facilitate an individual's capacity to adapt to diverse employment contexts.Originality/valueThis study contributes to resolving the debate on skills contributing to career adaptation by combining the career adaptability theory and integrated dynamic capabilities, to produce a harmonized meta-skills codebook including labels, definitions and synonyms. This study validates the codebook against leading skills frameworks and occupational competency models.
Networking for innovation dynamics: a design-driven approach in the hospitality industry
Authors: Li Mimi , Xu Wenqing , Liu Weiwei , Cao Huiyi 
Published: September 2023

Purpose
This study aims to explore the patterns and transformational dynamics of the executive–interpreter network in the innovation processes of small- and medium-sized enterprises in hospitality.

Design/methodology/approach
Grounded in social network theory and adopting a case-based approach, this study features a multi-case design focusing on three Chinese boutique hotels. Data were collected through Web page and document reviews, participant observations and semistructured interviews.

Findings
Results capture how executive–interpreter network dynamics contribute to innovation in small- and medium-sized hotels. Key factors in social networks (e.g. size, scope and strength) shift throughout innovation. This study presents a design-driven approach as a means of innovation. Findings also delineate the network development conditions under which innovation dynamically occurs in boutique hotels.

Practical implications
Practical implications center on how network dynamics help small- and medium-sized hotels innovate more effectively. These insights can assist hotel operators and prospective market entrants in improving their hotels’ performance and competitiveness.

Originality/value
This study blends social network theory with a design-driven approach to explore innovation mechanisms in small- and medium-sized hotels. It offers empirical evidence for practitioners regarding design-driven innovation. Findings enrich the body of knowledge on both design-driven innovation theory and hospitality innovation.
Taking stock of campus mentoring ecosystems: a peer assessment dialogue exercise
Authors: Packard Becky Wai-Ling , Montgomery Beronda L. , Mondisa Joi-Lynn 
Published: September 2023

PurposeThe purpose of this study was to examine the experiences of multiple campus teams as they engaged in the assessment of their science, technology, engineering and mathematics (STEM) mentoring ecosystems within a peer assessment dialogue exercise.Design/methodology/approachThis project utilized a qualitative multicase study method involving six campus teams, drawing upon completed inventory and visual mapping artefacts, session observations and debriefing interviews. The campuses included research universities, small colleges and minority-serving institutions (MSIs) across the United States of America. The authors analysed which features of the peer assessment dialogue exercise scaffolded participants' learning about ecosystem synergies and threats.FindingsThe results illustrated the benefit of instructor modelling, intra-team process time and multiple rounds of peer assessment. Participants gained new insights into their own campuses and an increased sense of possibility by dialoguing with peer campuses.Research limitations/implicationsThis project involved teams from a small set of institutions, relying on observational and self-reported debriefing data. Future research could centre perspectives of institutional leaders.Practical implicationsThe authors recommend dedicating time to the institutional assessment of mentoring ecosystems. Investing in a campus-wide mentoring infrastructure could align with campus equity goals.Originality/valueIn contrast to studies that have focussed solely on programmatic outcomes of mentoring, this study explored strategies to strengthen institutional mentoring ecosystems in higher education, with a focus on peer assessment, dialogue and learning exercises.
Cost optimization of acceptance sampling plan in a fuzzy supply chain environment
Authors: Thomas Julia T. , Kumar Mahesh 
Published: September 2023

PurposeThe purpose of the paper is set to minimize the total cost of a manufacturing system when an acceptance sampling plan (ASP) is carried out in a fuzzy environment.Design/methodology/approachA fuzzy acceptance sampling plan (FASP) is employed for the inspection of the batch of products and a fuzzy cost optimization problem is formulated.FindingsThe extent of uncertainty determines an interval for the total cost function with upper and lower bounds. The effect of variation in the ambiguity of the proportion of defectives in the probability of acceptance is determined.Practical implicationsThe proposed model is specifically designed for production and supply units with ASP for attributes. Still, the proportion of defectives in the inspection process is fuzzy.Originality/valueFuzzy probability distribution is used to model an optimal inspection plan for a general supply chain. Economic design of supply chain under fuzzy proportion of defectives is discussed for the first time.
A real-time discovery method for vehicle companion via service collaboration
Authors: Zhang Zhongmei , Hu Qingyang , Hou Guanxin , Zhang Shuai 
Published: September 2023

Purpose
Vehicle companion is one of the most common companion patterns in daily life, which has great value to accident investigation, group tracking, carpooling recommendation and road planning. Due to the complexity and large scale of vehicle sensor streaming data, existing work were difficult to ensure the efficiency and effectiveness of real-time vehicle companion discovery (VCD). This paper aims to provide a high-quality and low-cost method to discover vehicle companions in real time.

Design/methodology/approach
This paper provides a real-time VCD method based on pro-active data service collaboration. This study makes use of dynamic service collaboration to selectively process data produced by relative sensors, and relax the temporal and spatial constraints of vehicle companion pattern for discovering more potential companion vehicles.

Findings
Experiments based on real and simulated data show that the method can discover 67% more companion vehicles, with 62% less response time comparing with centralized method.

Originality/value
To reduce the amount of processing streaming data, this study provides a Service Collaboration-based Vehicle Companion Discovery method based on proactive data service model. And this study provides a new definition of vehicle companion through relaxing the temporal and spatial constraints for discover companion vehicles as many as possible.
Capacity investment decisions of energy storage power stations supporting wind power projects
Authors: Song Mingzhen , Kong Lingcheng , Xie Jiaping 
Published: September 2023

PurposeRapidly increasing the proportion of installed wind power capacity with zero carbon emission characteristics will help adjust the energy structure and support the realization of carbon neutrality targets. The intermittency of wind resources and fluctuations in electricity demand has exacerbated the contradiction between power supply and demand. The time-of-use pricing and supply-side allocation of energy storage power stations will help “peak shaving and valley filling” and reduce the gap between power supply and demand. To this end, this paper constructs a decision-making model for the capacity investment of energy storage power stations under time-of-use pricing, which is intended to provide a reference for scientific decision-making on electricity prices and energy storage power station capacity.Design/methodology/approachBased on the research framework of time-of-use pricing, this paper constructs a profit-maximizing electricity price and capacity investment decision model of energy storage power station for flat pricing and time-of-use pricing respectively. In the process, this study considers the dual uncertain scenarios of intermittency of wind resources and random fluctuations in power demand.Findings(1) Investment in energy storage power stations is the optimal decision. Time-of-use pricing will reduce the optimal capacity of the energy storage power station. (2) The optimal capacity of the energy storage power station and optimal electricity price are related to factors such as the intermittency of wind resources, the unit investment cost, the price sensitivities of the demand, the proportion of time-of-use pricing and the thermal power price. (3) The carbon emission level is affected by the intermittency of wind resources, price sensitivities of the demand and the proportion of time-of-use pricing. Incentive policies can always reduce carbon emission levels.Originality/valueThis paper creatively introduced the research framework of time-of-use pricing into the capacity decision-making of energy storage power stations, and considering the influence of wind power intermittentness and power demand fluctuations, constructed the capacity investment decision model of energy storage power stations under different pricing methods, and compared the impact of pricing methods on optimal energy storage power station capacity and carbon emissions.HighlightsElectricity pricing and capacity of energy storage power stations in an uncertain electricity market.Investment strategy of energy storage power stations on the supply side of wind power generators.Impact of pricing method on the investment decisions of energy storage power stations.Impact of pricing method, energy storage investment and incentive policies on carbon emissions.A two-stage wind power supply chain including energy storage power stations.
The impact of memorable tourism experiences on customer-based destination brand equity: the mediating role of destination attachment and overall satisfaction
Authors: Guleria Ayush , Joshi Richa , Adil Mohd 
Published: September 2023

PurposeUtilising the stimulus-organism-response (S-O-R) theoretical framework, this study investigated how destination attachment and overall satisfaction mediate the linkage between memorable tourism experiences and customer-based destination brand equity (CBDBE).Design/methodology/approachThe authors study presents a model that illustrates how memorable tourism experiences can influence CBDBE by impacting tourists' attachment and overall satisfaction with a destination. The model was tested using empirical data obtained through a survey of 382 Indian domestic tourists. The data were analysed using the SPSS AMOS (Statistical Package for Social Sciences Analysis of a Moment Structures) programme.FindingsThis study validates the accuracy and effectiveness of the suggested conceptual model, demonstrating significant linkage between the variables of the study. Accordingly, it was observed that positive memorable tourism experiences have a notable impact on the development of attachment and satisfaction with the tourist destination forming strong CBDBE.Practical implicationsThe study's primary managerial recommendation is that, to achieve sustainable competitive advantage, destination management organisations should give priority to memorable experiences and positive emotions instead than only concentrating on product-centred marketing. Second, destination managers must mould their business models based on the link between memorable tourism experiences, destination attachment, satisfaction and CBDBE.Originality/valuePerhaps, the authors' research is one of the earliest to explore the relationship between tourists' overall satisfaction, attachment to a destination and memorable experiences and how they impact customer-based brand equity (CBBE) for a specific urban hill station destination.
Factors influencing tourists' behavioural intentions towards beach destinations: the mediating roles of destination experience and destination satisfaction
Authors: Karim Rashed Al , Rabiul Md Karim , Arfat Sayed Mohammed 
Published: September 2023

PurposeThis study aims to identify factors affecting travellers' behavioural intentions regarding beach destinations in Bangladesh. The study also examines how destination experience and satisfaction mediate the nexus between destination service factors and travellers' behavioural intentions.Design/methodology/approachA self-administered survey was carried out to gather data from 375 people who had visited the beaches in Cox's Bazar. Data were examined using partial least squares structural equation modelling (PLS-SEM) to evaluate the hypotheses.FindingsThe destination experience mediates the relationship between destination service factors and complaint intention but does not mediate the relationship between destination service factors and word of mouth (WOM). Moreover, destination satisfaction mediated the relationship between destination service factors and WOM, along with complaint intention.Practical implicationsThis study's findings can be utilised by the Bangladeshi destination management to increase the number of tourists by instituting and maintaining improved destination service features in popular tourist destinations.Originality/valueThis is one of few studies on beach tourism destinations in Bangladesh that comprehensively overviews destination service factors and their influence on tourists' behavioural intentions, with a special emphasis on the mediating roles of destination experience and destination satisfaction.