bluuebunny/crossref_metadata_2025_split huggingface dataset:
The endosomal sorting complex Retromer has a central role in systemic cholesterol homeostasis by controlling endo-lysosomal cholesterol transport in hepatocytes
Authors: Vos Dyonne Y. , Barbosa Markus G. , Heida Andries H. , Ríos-Ocampo W. Alfredo , Tissink Joël J. , Koster Mirjam H. , Smit Marieke , Huijkman Nicolette , Kloosterhuis Niels J. , Havinga Rick , Fuh Marceline M. , Jonker Johan W. , Reggiori Fulvio , Mari Muriel , Scheja Ludger , Heeren Joerg , Kuipers Folkert , de Boer Jan Freark , Wolters Justina C. , Kuivenhoven Jan Albert , van de Sluis Bart 
Published: August 2023

AbstractDisturbed cholesterol homeostasis is associated with multiple diseases, such as atherosclerotic cardiovascular disease, lysosomal storage disorders, and neurodegenerative disorders. The endo-lysosomal network plays a central role in the distribution of cholesterol between subcellular membranes, but the processes controlling this transport are still not well-defined. Here, we investigate the impact of hepatic Retromer, an endosomal sorting complex consisting of VPS35, VPS26, and VPS29, on cholesterol homeostasis by using a liver-specific VPS35-deficient (Vps35HepKO) mouse model. Hepatic VPS35 deficiency strongly reduces the function of the lysosomal proteins lysosomal acid lipase (LAL), scavenger receptor class B member 2 (SCARB2), and Niemann-Pick type C1 (NPC1), concomitant with hepatic cholesterol accumulation in lysosomal compartments, delayed transport of endocytosed cholesterol through the endo-lysosomal network, and increased cholesterol biosynthesis. In addition, the levels and intracellular distribution of low-density lipoprotein receptor (LDLR) and LDLR-related protein 1 (LRP1) are affected, likely explaining increased plasma LDL-cholesterol inVps35HepKOmice. High-fat/high-cholesterol diet feeding exacerbates hepatic and plasma cholesterol content inVps35HepKOmice and leads to mild liver injury, hepatic inflammation, and increased hepatocellular proliferation. Altogether, we here uncover that, in addition to its established function in the endosomal sorting of integral membrane proteins, Retromer plays a key role in lysosomal cholesterol egress.
Comparative proteomics uncovers low asparagine insertion inPlasmodiumtRip-KO proteins
Authors: Pitolli Martina , Cela Marta , Kapps Delphine , Chicher Johana , Despons Laurence , Frugier Magali 
Published: August 2023

AbstracttRNAs are not only essential for decoding the genetic code, but their abundance also has a strong impact on the rate of protein production, folding, and on the stability of the translated messenger RNAs.Plasmodiumexpresses a unique surface protein called tRip, involved in the import of exogenous tRNAs into the parasite. Comparative proteomic analysis of the blood stage of wild-type and tRip-KO variant ofP. bergheiparasites revealed that down-regulated proteins in the mutant parasite are distinguished by a bias in their asparagine content. Furthermore, the demonstration of the possibility of charging host tRNAs withPlasmodiumaminoacyl-tRNA synthetases, led us to propose that, imported host tRNAs participate in parasite protein synthesis. These results also suggest a novel mechanism of translational control in which import of host tRNAs emerge as regulators of gene expression in thePlasmodiumdevelopmental cycle and pathogenesis, by enabling the synthesis of asparagine-rich regulatory proteins that efficiently and selectively control the parasite infectivity.
The heme oxygenase-1 metalloporphyrin inhibitor stannsoporfin enhances the bactericidal activity of a novel regimen for multidrug-resistant tuberculosis in a murine model
Authors: Castillo Jennie Ruelas , Neupane Pranita , Karanika Styliani , Krug Stefanie , Quijada Darla , Garcia Andrew , Ayeh Samuel , Yilma Addis , Costa Diego L. , Sher Alan , Fotouhi Nader , Serbina Natalya , Karakousis Petros C. 
Published: August 2023

AbstractMultidrug-resistant (MDR)Mycobacterium tuberculosis(Mtb) poses significant challenges to global tuberculosis (TB) control efforts. Host-directed therapies (HDT) offer a novel approach for TB treatment by enhancing immune-mediated clearance of Mtb. Prior preclinical studies found that inhibition of heme oxygenase-1 (HO-1), an enzyme involved in heme metabolism, with tin-protoporphyrin IX (SnPP) significantly reduced mouse lung bacillary burden when co-administered with the first-line antitubercular regimen. Here we evaluated the adjunctive HDT activity of a novel HO-1 inhibitor, stannsoporfin (SnMP), in combination with a novel MDR-TB regimen comprising a next-generation diarylquinoline, TBAJ-876 (S), pretomanid (Pa), and a new oxazolidinone, TBI-223 (O) (collectively, SPaO) in Mtb-infected BALB/c mice. After 4 weeks of treatment, SPaO + SnMP 5 mg/kg reduced mean lung bacillary burden by an additional 0.69 log10(P=0.01) relative to SPaO alone. As early as 2 weeks post-treatment initiation, SnMP adjunctive therapy differentially altered the expression of pro-inflammatory cytokine genes, and CD38, a marker of M1 macrophages. Next, we evaluated the sterilizing potential of SnMP adjunctive therapy in a mouse model of microbiological relapse. After 6 weeks of treatment, SPaO + SnMP 10 mg/kg reduced lung bacterial burdens to 0.71 ± 0.23 log10CFU, a 0.78 log-fold greater decrease in lung CFU compared to SpaO alone (P=0.005). However, adjunctive SnMP did not reduce microbiological relapse rates after 5 or 6 weeks of treatment. SnMP was well tolerated and did not significantly alter gross or histological lung pathology. SnMP is a promising HDT candidate requiring further study in combination with regimens for drug-resistant TB.
Optimized dimerization of the PAR-2 RING domain drives cooperative and selective membrane recruitment for robust feedback-driven cell polarization
Authors: Bland Tom , Hirani Nisha , Briggs David , Rossetto Riccardo , Ng KangBo , McDonald Neil Q. , Zwicker David , Goehring Nathan W. 
Published: August 2023

AbstractThe behavior of cell polarity networks is defined by the quantitative features of their constituent feedback circuits, which must be tuned to enable robust and stable polarization, while also ensuring that networks remain responsive to dynamically changing cellular states and/or spatial cues that arise during development. Using the PAR polarity network as a model, we demonstrate that these features are enabled by dimerisation of the polarity protein PAR-2 via ubiquitin-independent function of its N-terminal RING domain. Specifically, we combine theory and experiment to show that dimer affinity is optimized to achieve dynamic, selective, and cooperative recruitment of PAR-2 to the plasma membrane during polarization. Reducing dimerization results in loss of positive feedback and compromises robustness of symmetry-breaking, while enhanced dimerization renders the network less responsive due to kinetic trapping of PAR-2 on internal membranes and reduced sensitivity of PAR-2 to membrane displacement by the polarity kinase, aPKC/PKC-3. Thus, our data reveal how a dynamically oligomeric RING domain results in a cell polarity network that is both robust and responsive and highlight how tuning of oligomerization kinetics can serve as a general strategy for optimizing dynamic and cooperative intracellular targeting.
Renewable energy development, unemployment and GDP growth: South Asian evidence
Authors: Rahman Mohammad Rifat , Rahman Md. Mufidur , Akter Roksana 
Published: August 2023

PurposeThis study aims to investigate the interplay between renewable energy development, unemployment and GDP growth within Bangladesh, India, Pakistan and Sri Lanka. The research underscores the significant role of renewable energy plays in stimulating economic growth and mitigating unemployment, offering crucial policy insights for sustainable growth in South Asia.Design/methodology/approachUtilizing the autoregressive distributive lag (ARDL) framework and Toda Yamamoto causality through the vector autoregressive (VAR) approach, the study analyzes the long-term and short-term impacts of these variables from 1990 to 2019.FindingsThis study reveals a significant co-integration among renewable energy consumption, unemployment and GDP growth in selected South Asian countries. The long-term estimation shows renewable energy consumption influences negatively economic progression in Bangladesh, with no notable correlation with unemployment. In contrast, Sri Lanka demonstrates an optimal relationship among all the variables. Short-run assessments reveal a significant positive relationship between renewable energy consumption and economic growth in India, while an inverse relationship is evident in Pakistan. Moreover, the relationship between unemployment and economic progression, the result shows a negative and significant relationship in India and Sri Lanka.Research limitations/implicationsThe study emphasizes the need for policy development concerning renewable energy development, unemployment reduction and sustainable economic growth in South Asia. While limitations exist, future research can expand upon this work by incorporating varied data, additional countries or alternative modeling techniques.Originality/valueThis research offers a unique exploration into the multidimensional impacts of renewable energy consumption, unemployment and economic growth in the South Asian context, an area previously unexplored in such depth.
From internal to external information search: the role of information accessibility, information diagnosticity, and involvement
Authors: Tajdini Saeed , Ramirez Edward , Xu Zhenning 
Published: August 2023

PurposeConsumers are assumed to engage in external information search only after exhausting their internal information sources. Guided by the accessibility/diagnosticity and ease-of-retrieval frameworks, and the elaboration likelihood model, the current study investigates this phenomenon.Design/methodology/approachTo test the relationships between internal information accessibility/diagnosticity and the importance of external search, and the moderating role of involvement in these relationships, 308 responses were collected on Amazon MTurk. Then, structural equation modeling was employed to analyze the data.FindingsThe analyses showed that while accessibility and diagnosticity of internal information have an impact on external information search, involvement with the product class has a consequential moderating effect on these relationships. In particular, in the low-involvement group, only the diagnosticity of internal information had a negative effect on external information search. On the contrary, in the high-involvement group, only accessibility of internal information had a negative effect.Research limitations/implicationsThese findings highlight the possibility of drawing erroneous conclusions resulting from not incorporating involvement, in conjunction with information accessibility and diagnosticity, in the study of the consumer external information search behavior.Practical implicationsThe findings also imply that if practitioners aim to prime consumers to engage in external information search, they need to take into account that the effects of internal information's accessibility and diagnosticity on consumers' external search behavior may be different depending on their levels of involvement.Originality/valueThis study's results showed that without considering the moderating effect of involvement, spurious conclusions may be made about the relationships between accessibility and diagnosticity of internal and external information importance. This finding may explain the discrepancy between the accessibility/diagnosticity and ease-of-retrieval frameworks, thus enriching the literature.
Individual characteristics linking cognitive, affective and conative mechanisms among vegetarian restaurant customers
Authors: Ahn Jiseon 
Published: August 2023

PurposeDespite the recent increase in vegetarian food consumption, studies on this topic have focused on the product category. Based on the functional theory of attitude and the cognitive–affective–conative framework, this study investigates the impact of customer individuality (i.e. uniqueness and level of self-monitoring) on cognitive attitude (i.e. social-function attitudes), which leads to conative attitude (i.e. behavioral intentions) via affective attitudes toward vegetarian restaurants.Design/methodology/approachThe sample (n = 176) comprises experienced vegetarian restaurant customers in the USA. Multi-group analysis is used to examine differences between vegetarian and non-vegetarian customers, as well as customers' low and high frequency in visiting vegetarian restaurants.FindingsUsing partial least squares structural equation modeling, this study finds the relative impact of customers' personal traits on self-expressive and social-adjustive functions. Results highlight the role of the social-adjustive function as an antecedent of affective attitudes leading to positive behavioral intentions. Last, the findings from a multi-group analysis show that customer self-monitoring is the only significant antecedent of a cognitive attitude among vegetarian customers.Originality/valueThe present study adds to the literature regarding trait attributes and corresponding cognitive, affective and conative attitudes in the context of the vegetarian food service industry.
Analyzing critical success factors of Lean Six Sigma for implementation in Indian manufacturing MSMEs using best-worst method
Authors: Kumar Sandeep , Swarnakar Vikas , Phanden Rakesh Kumar , Antony Jiju , Jayaraman Raja , Khanduja Dinesh 
Published: August 2023

PurposeThis study aims to identify, analyze and rank the critical success factors (CSFs) of Lean Six Sigma (LSS) implementation in Indian manufacturing sector based micro, small and medium enterprises (MSMEs). This study provides critical insight for managers and researchers aspiring for successful implementation of LSS in Indian manufacturing MSMEs.Design/methodology/approachThe CSFs were extracted from literature followed by a questionnaire-based survey from 120 industry professionals with extensive knowledge and experience about LSS working in Indian manufacturing MSMEs. Further, the CSFs were grouped based on their fundamental relevance and ranked using best worst method (BWM) approach using inputs from LSS experts.FindingsThis study provides insights on success factors that have helped Indian manufacturing MSMEs to implement LSS. The findings signify that “Strategy based CSFs” were ranked as the top most important factors, followed by two other category factors namely “Bottom-Line CSFs” and “Supplier based and other category-based CSFs”.Research limitations/implicationsThe proposed research is specifically relevant to the context of MSMEs in the Indian manufacturing sector. In the future, the same approach can be extended to a global context, encompassing service sector-based MSMEs in healthcare and finance.Practical implicationsThis study provides valuable inputs for managers, decision-makers, industrial practitioners and researchers about Indian manufacturing MSMEs. The identified CSFs and their prioritization offer a roadmap for successful adoption of LSS. Managers can allocate resources, and make strategic decisions based on the prioritized CSFs. Decision-makers can align their initiatives with the identified CSFs. Industrial practitioners gain insights to enhance their LSS initiatives, and researchers can focus their efforts on areas critical to LSS implementation in Indian MSMEs. Furthermore, the structured approach employed in this study can be adopted by various MSME sectors globally, thereby broadening the comprehension of LSS implementation.Originality/valueThis study contributes to the existing body of knowledge by addressing the gaps in literature on CSFs related to LSS adoption within Indian manufacturing MSMEs. While LSS has been widely studied, there is limited focus on its adoption in the context of Indian MSMEs. The combination of extensive literature review, questionnaire-based survey and the application of the BWM approach for prioritizing CSFs adds originality to the research.
Application of SEM and fsQCA to predict m-health adoption in the BoP market
Authors: Hussain Mehdi , Begum Qudsia , Rahman Muhammad Sabbir , Imran Ahmed 
Published: August 2023

Purpose
Drawing on the adapted unified theory of acceptance and use of technology (UTAUT2) framework in the bottom of pyramid (BoP) context, this paper examines the number of causal recipes that foster m-health adoption in a developing country (Bangladesh). This paper aims to propose an extended UTAUT2 model along with identifying the necessary and sufficient factors affecting the m-health adoption intention in the BoP market.

Study design/methodology/approach
The research model was empirically tested, combining two approaches: structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from 221 housemaids and female security guards who earn around US$6 per day.

Findings
The SEM results revealed that while performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions, perceived cost (PC) and technology anxiety (TA) significantly influence the behavioural intention of BoP markets, hedonic motivation is the non-significant predictor. The fsQCA revealed that the two necessary conditions, PC and SI, can be combined with TA to increase the possibility of the success of m-health adoption in the BoP market.

Practical implications
For practitioners concerned with fostering the m-health adoption intention in BoP markets, the present study, which points out equifinality, recommends integrating the PC and SI in several combinations with PE, EE and TA.

Originality/value
To the best of the authors’ knowledge, no previous studies using the UTAUT2 theory examined the m-health services in the BoP market. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of TA and PC in several combinations with other UTUAT2 factors as predictors for explaining the m-health adoption intention of BoP markets.
Cost estimation model of prefabricated construction for general contractors based on system dynamics
Authors: Liu Mengkai , Luo Meng 
Published: August 2023

PurposeThe poor capacity of prefabricated construction cost estimation is the essential reason for the low profitability of the general contractor. Therefore, this study aims to focus on the cost estimation of prefabricated construction as the research object. This research aims to enhance the accuracy of total project cost estimation for general contractors, ultimately leading to improved profitability.Design/methodology/approachThis study used Vensim PLE software to establish a system dynamics model. In the modeling process, a systematic research review was used to identify cost-influencing factors; ABC classification and the analytic hierarchy process were used to score and determine the weights of influencing factors.FindingsThe total cost error obtained by the model is less than 2% compared with the actual value. It can be used to cost estimation and analysis. The analysis results indicate that there are 7 key factors, among which the prefabrication rate has the most significant impact. Furthermore, the model can provide the extreme range cost; the minimum cost can reduce by 13% from the value in the case. The factor's value can compose a cost control strategy for general contractors.Practical implicationsThe cost of prefabricated buildings can be estimated well, and deciding the prefabrication rate is crucial. The cost can be declined by correct cost control strategies when bidding and subcontracting are in process. The strategies can follow the direction of the model.Originality/valueA systemic, quantitative and qualitative analysis of cost estimation of prefabricated buildings for general contractors has been conducted. A mathematical model has been developed and validated to facilitate more effective cost-control measures.
Quality management framework for government social housing construction in South Africa
Authors: Amoah Christopher 
Published: August 2023

PurposeIn addressing the housing deficits for the less privileged citizens, the South African government began constructing social housing after coming to power in 1994. However, the construction of these houses is bedevilled with many issues; prominent among them are poor quality of the constructed houses. This study seeks to develop a quality management framework for achieving quality and efficiency in public-sector housing construction, a hallmark of the country's procurement goals.Design/methodology/approachTelephone interviews were conducted with construction professionals involved in constructing government social houses across South Africa, chosen randomly. The data gathered were analysed using the content analysis method.FindingsThe study found that the most significant cause of poor quality government-constructed social housing is multifaceted, categorised into project management-related, procurement-related, contractor-related, corruption-related and political-related.Practical implicationsFailure to develop and implement a quality management framework on government-constructed social housing leads to poor quality social housing.Originality/valueThe study has identified quality-related issues and has developed a Quality Management (QM) framework for the stakeholders involved in the construction of the houses to guide them in the project implementation process to ensure project success and quality standards.
Artificial intelligence research in hospitality: a state-of-the-art review and future directions
Authors: Law Rob , Lin Katsy Jiaxin , Ye Huiyue , Fong Davis Ka Chio 
Published: August 2023

Purpose
The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.

Design/methodology/approach
This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.

Findings
Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.

Research limitations/implications
This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.

Originality/value
This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.