bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeting SERCA2 in organotypic epidermis reveals MEK inhibition as a therapeutic strategy for Darier disease
Authors: Zaver Shivam A. , Sarkar Mrinal K. , Egolf Shaun , Zou Jonathan , Tiwaa Afua , Capell Brian C. , Gudjonsson Johann E. , Simpson Cory L. 
Published: March 2023

ABSTRACTMutation of theATP2A2gene encoding sarco-endoplasmic reticulum calcium ATPase 2 (SERCA2) was linked to Darier disease more than two decades ago; however, there remain no targeted therapies for this disorder causing recurrent skin blistering and infections. SinceAtp2a2knockout mice do not phenocopy its pathology, we established a human tissue model of Darier disease to elucidate its pathogenesis and identify potential therapies. Leveraging CRISPR/Cas9, we generated human keratinocytes lacking SERCA2, which replicated features of Darier disease, including weakened intercellular adhesion and defective differentiation in organotypic epidermis. To identify pathogenic drivers downstream of SERCA2 depletion, we performed RNA sequencing and proteomic analysis. SERCA2-deficient keratinocytes lacked desmosomal and cytoskeletal proteins required for epidermal integrity and exhibited excess MAP kinase signaling, which modulates keratinocyte adhesion and differentiation. Immunostaining patient biopsies substantiated these findings with lesions showing keratin deficiency, cadherin mis-localization, and ERK hyper-phosphorylation. Dampening ERK activity with MEK inhibitors rescued adhesive protein expression and restored keratinocyte sheet integrity despite SERCA2 depletion or chemical inhibition. In sum, coupling multi-omic analysis with human organotypic epidermis as a pre-clinical model, we found that SERCA2 haploinsufficiency disrupts critical adhesive components in keratinocytes via ERK signaling and identified MEK inhibition as a treatment strategy for Darier disease.
Intrinsically disordered protein’s coil-to-globule transition and adsorption onto a hydrophobic surface under different conditions
Authors: Faulí Bernat Durà , Bianco Valentino , Franzese Giancarlo 
Published: March 2023

AbstractIntrinsically disordered proteins (IDPs) and proteins with intrinsically disordered regions (IDRs) can modulate cellular responses to environmental conditions by undergoing coil-to-globule transitions and phase separation. However, the molecular mechanisms of these phenomena still need to be fully understood. Here, we use Monte Carlo calculations of a model incorporating water’s effects on the system’s free energy to investigate how an IDP responds to a hydrophobic surface under different conditions. We show that a slit pore confinement without top-down symmetry enhances the unfolding and adsorption of the IDP in both random coil and globular states. Moreover, we demonstrate that the hydration water modulates this behavior depending on the thermodynamic parameters. Our findings provide insights into how IDPs and IDRs can sense and adjust to external stimuli such as nanointerfaces or stresses.
Machine learning reveals relationships between song, climate, and migration in coastalZonotrichia leucophrys
Authors: Yang Jiaying , Carstens Bryan C. , Provost Kaiya L. 
Published: March 2023

ABSTRACTVocalization behavior in birds, especially songs, strongly affects reproduction, but it is also highly impacted by geographic distance, climate, and time. For this reason, phenotypic differences in vocalizations between different bird populations are often interpreted as evidence of lineage divergence. Previous work has demonstrated that there is extensive variation in the songs of White-crowned Sparrow (Zonotrichia leucophrys) throughout the species range, including between neighboring (and genetically distinct) subspeciesZ. l. nuttalliandZ. l. pugetensis. However, it is unknown whether the divergence in their songs correlates to environmental or geographical factors. Previous work has been hindered by time-consuming traditional methods to study bird songs that rely on the manual annotation of song spectrograms into individual syllables. Here we explore the performance of automated machine learning methods of song annotation, which can process large datasets more efficiently, paying attention to the question of subspecies differences. We utilize a recently published artificial neural network to automatically annotate hundreds of White-crowned Sparrow vocalizations across two subspecies. By analyzing differences in syllable usage and composition, we find thatZ. l. nuttalliandZ. l. pugetensishave significantly different songs. Our results are consistent with the interpretation that these differences are caused by the changes in syllables in the White-crowned Sparrow repertoire. However, the large sample size enabled by the AI approach allows us to demonstrate that divergence in song is correlated with environmental difference and migratory status, but not with geographical distance. Our findings support the hypothesis that the evolution of vocalization behavior is affected by environment, in addition to population structure.LAY SUMMARYBirdsong is an important behavior because it is important in bird communication and reproduction.White-crowned Sparrows in western North America are known to use different songs along their range, but it is unknown if those songs vary due to the environment.We used machine learning to analyze these songs and found that populations of White-crowned Sparrows can be differentiated based on their songs.Environmental factors during the breeding season exert a greater influence on song evolution in migratory subspecies.
Synthesis and crystal structures of halogenated oxathiazolones and an unexpected propanamide
Authors: George Tanner , McWilliams Samantha W. , Masuda Jason D. , Schriver Melbourne J. 
Published: March 2023

The known 1,3,4-oxathiazol-2-ones with crystal structures reported in the Cambridge Structural Database are limited (13 to date) and this article expands the library to 15. In addition, convenient starting materials for the future exploration of 1,3,4-oxathiazol-2-ones are detailed. An unexpected halogenated propanamide has also been identified as a by-product of one reaction, presumably reacting with HCl generated in situ. The space group of 5-[(E)-2-chloroethenyl]-1,3,4-oxathiazol-2-one, C4H2ClNO2S, (1), is P21, with a high Z′ value of 6; the space group of rac-2,3-dibromo-3-chloropropanamide, C3H4Br2ClNO, (2), is P21, with Z′ = 4; and the structure of rac-5-(1,2-dibromo-2-phenylethyl)-1,3,4-oxathiazol-2-one, C10H7Br2NO2S, (3), crystallizes in the space group Pca21, with Z′ = 1. Both of the structures of compounds 2 and 3 are modeled with two-component disorder and each molecular site hosts both of the enantiomers of the racemic pairs (S,S)/(R,R) and (R,S)/(S,R), respectively.
Examining the relationship between chain governance structures and chain performance
Authors: Kataike Joanita , Molnar Adrienn , De Steur Hans , Gellynck Xavier 
Published: March 2023

Purpose
The purpose of this paper is to analyze the influence of chain governance on chain performance among the chain members.

Design/methodology/approach
The survey was conducted in a triadic context with 345 chain members (115 dairy farmers, 115 dairy cooperative managers, and 115 processors) of the dairy sector in Uganda. Data collection was performed through simple random sampling by survey questionnaires with the chain executives. SEM was used for data analysis.

Findings
The results revealed several chain governance structures (spot market, relational, contractual and mini integration) confirmed the hypothesized correlations on chain performance at different chain levels. The authors found a positive influence of relational governance on chain performance for all the chain members; however, the effect is stronger at the first supplier chain level.

Originality/value
This triadic chain approach makes an original contribution to the chain governance structures and chain performance literature in the supply chain context. Studies analyzing all aspects of chain governance structure and chain performance at three chain levels are limited.
A flexible genetic algorithm-fuzzy regression approach for forecasting
Authors: Azadeh Ali , Kalantari Mahdokht , Ahmadi Ghazaleh , Eslami Hossein 
Published: March 2023

Purpose
Construction materials comprise a major part of the total construction cost. Given the importance of bitumen as a fundamental material in construction projects, it is imperative to have an accurate forecast of its consumption in the planning and material sourcing phases on the project. This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption.

Design/methodology/approach
In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. Moreover, the fuzzy regression (FR) model is used for estimation. Analysis of variance (ANOVA) is used for selecting among GA, FR or conventional regression (CR). To show the applicability of the proposed approach, Iran’s bitumen consumption data in the period of 1991-2006 are used as a case study.

Findings
Production, import, export, road construction and price are considered as the input data used in the present study. It was concluded that, among all the forecasting methods used in this study, GA was the best method for estimating.

Practical implications
The proposed approach outperforms the conventional forecasting methods for the case of bitumen which is a fundamental economic ingredient in road construction projects. This approach is flexible, in terms of amount and uncertainty of the input data, and can be easily adapted for forecasting other materials and in different construction projects. It can have important implications for the managers and policy makers in the construction market where accurate estimation of the raw material demand is crucial.

Originality/value
This is the first in this field introducing a flexible GA-FR approach for improving bitumen consumption estimation in the construction literature. The proposed approach’s significance has two folds. Firstly, it is completely flexible. Secondly, it uses CRs as an alternative approach for estimation because of its dynamic structure.
Exploring the level of sustainability awareness among consumers within the fast-fashion clothing industry: a dual business and consumer perspective
Authors: Papadopoulou Maria , Papasolomou Ioanna , Thrassou Alkis 
Published: March 2023

PurposeAdding to competitive dynamics and sustainability literature, this paper aims to examine the implementation of environmental protection and sustainability initiatives within the European fast-fashion clothing industry from the perspectives of Generation X and Y consumers. The study primarily investigates whether consumers’ level of environmental consciousness impacts their purchase decisions and consumption behaviour and the consequent strategic competitiveness effects on businesses.Design/methodology/approachThe methodological approach relied on multiple data collection methods. In the first stage of the study, the researchers analysed the content of the official websites of two of Europe’s leading fashion firms. In the second stage, a quantitative research approach was aimed at revealing the perceptions, attitudes and purchase behaviour of Generation X and Y consumers towards the two fashion houses and their brands.FindingsAlthough European fashion manufacturers invest in sustainability and engage in environmental protection, their marketing efforts need to be more effectively managed and targeted towards their target consumer markets. The level of engagement and sensitivity of each generational group towards sustainability issues varies. Each group’s environmental consciousness, motivation and response is shaped by distinct characteristics, which, in turn, create implications for the effectiveness of sustainability efforts towards differentiation and competitiveness. Overall, consumers engage in environmental initiatives but ignore the corporate initiatives pursued by the two fashion firms and did not view them as sustainable brands.Originality/valueThe study explores the effectiveness of sustainability and environmental protection orientation as business competitive strategies in the light of environmental turbulence and social changes impacting the fast-fashion clothing industry and its relationships with its consumer markets.
Disaster capitalism in times of COVID-19 conversation on disasters: deconstructed on September 15, 2020
Authors: Cheek Wesley , Gonzalez-Muzzio Claudia , Marchezini Victor , Páez Holmes , Vahanvati Mittul , van Niekerk Dewald 
Published: March 2023

PurposeThis conversation presents the reflections from six international disaster scholars on how disaster capitalism manifested in very different ways in different countries, including Japan, Chile, Brazil, Colombia, India and South Africa, during the COVID-19 pandemic. The purpose of this paper is to address this issue.Design/methodology/approachThis paper is based on the conversations that took place on Disasters: Deconstructed Podcast livestream on the September 15, 2020.FindingsThe prominent themes in this conversation include profiteering, oppression and the politics of disasters.Originality/valueThe conversation contributes to the ongoing discussions around disaster capitalism and disaster risk creation.
Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China
Authors: Liang Ru , Li Rui , Yan Xue , Xue Zhenzhen , Wei Xin 
Published: March 2023

PurposePrefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation.Design/methodology/approachThe proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data.FindingsThe proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data.Originality/valueThe research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.
A miracle of measurement or accidental constructivism? How PLS subverts the realist search for truth
Authors: Cadogan John W. , Lee Nick 
Published: March 2023

Purpose
This study aims to determine whether partial least squares path modeling (PLS) is fit for purpose for scholars holding scientific realist views.

Design/methodology/approach
The authors present the philosophical foundations of scientific realism and constructivism and examine the extent to which PLS aligns with them.

Findings
PLS does not align with scientific realism but aligns well with constructivism.

Research limitations/implications
Research is needed to assess PLS’s fit with instrumentalism and pragmatism.

Practical implications
PLS has no utility as a realist scientific tool but may be of interest to constructivists.

Originality/value
To the best of the authors’ knowledge, this study is the first to assess PLS’s alignments and mismatches with constructivist and scientific realist perspectives.
An arbitrary Lagrangian–Eulerian method for fluid–structure interactions due to underwater explosions
Authors: Löhner Rainald , Li Lingquan , Soto Orlando Antonio , Baum Joseph David 
Published: March 2023

Purpose
This study aims to evaluate blast loads on and the response of submerged structures.

Design/methodology/approach
An arbitrary Lagrangian–Eulerian method is developed to model fluid–structure interaction (FSI) problems of close-in underwater explosions (UNDEX). The “fluid” part provides the loads for the structure considers air, water and high explosive materials. The spatial discretization for the fluid domain is performed with a second-order vertex-based finite volume scheme with a tangent of hyperbola interface capturing technique. The temporal discretization is based on explicit Runge–Kutta methods. The structure is described by a large-deformation Lagrangian formulation and discretized via finite elements. First, one-dimensional test cases are given to show that the numerical method is free of mesh movement effects. Thereafter, three-dimensional FSI problems of close-in UNDEX are studied. Finally, the computation of UNDEX near a ship compartment is performed.

Findings
The difference in the flow mechanisms between rigid targets and deforming targets is quantified and evaluated.

Research limitations/implications
Cavitation is modeled only approximately and may require further refinement/modeling.

Practical implications
The results demonstrate that the proposed numerical method is accurate, robust and versatile for practical use.

Social implications
Better design of naval infrastructure [such as bridges, ports, etc.].

Originality/value
To the best of the authors’ knowledge, this study has been conducted for the first time.
The effect of high emotionally intelligent teachers on their teaching effectiveness at universities: the moderating effect of personality traits
Authors: Maamari Bassem E. , Salloum Youssef N. 
Published: March 2023

PurposeThe purpose of this paper is to answer two basic research questions: “Does high emotional intelligence affect teaching effectiveness at universities?” and “What role do personality traits play in moderating that relationship?”Design/methodology/approachThe paper is a quantitative study using self-reporting questionnaires on 410 students and 32 faculty members. The resulting relationships and model fit are confirmed using SEM.FindingsThe paper shows the importance of high emotional intelligent teachers in universities to increase teaching effectiveness. The paper also shows that the personality traits of the teacher moderate this positive relationship.Research limitations/implicationsThe study uses students' responses. Students might negatively assess their professors for different purposes. This puts in question the reliability of student ratings, especially when taking into consideration students' mood.Practical implicationsThe paper makes two major recommendations to universities. The first recommendation is to hire emotionally intelligent teachers. The second recommendation is to conduct emotional intelligence workshops for existing teachers in order to improve their EI skills. Both recommendations will increase teaching effectiveness, therefore, better learning and a higher chance of better students' academic achievement, better teacher-student relationship, higher students' satisfaction and better university environment/teaching reputation.Originality/valueThe research model is tested for the first time in the Lebanese higher educational sector.
Foreign real estate investment, residential tourism and the Australian residential property market
Authors: Wong Peng Yew , Higgins David , Wakefield Ron 
Published: March 2023

Purpose
This research aims to focus on the emerging determinants for the Australian residential property market subsequent to the Global Financial Crisis 2008.

Design/methodology/approach
Quantitative models built on secondary data were tested on three residential property markets comprising metropolitan Melbourne and two key suburbs in the state of Victoria. The relationship between the house price performances and various leading Australian economic indicators was assessed.

Findings
As a result of the increasing relevance of Asia Pacific private wealth in the Australian residential property market, non-traditional determinants such as residential tourism have emerged as significant in the Melbourne residential property market.

Research limitations/implications
The result of this study can provide a better understanding on the relationship between the Australian residential property market and both the existing and emerging leading economic indicators.

Originality/value
A better understanding of foreign investment activities will assist policymakers to effectively manage inflated Australian residential property market without compromising the steady flow of foreign real estate investment.
Developing and validating e-marketplace service quality model in B2G e-commerce settings: a mixed-methods approach
Authors: Nandankar Sunil , Sachan Amit , Adhikari Arnab , Mukherjee Arindam 
Published: March 2023

PurposeThe research aims to qualitatively explore e-marketplace service quality (EMSQ) from the perspective of an industrial buyer as a sole decision-maker. It further intends to quantitatively examine its impact on the industrial buyer's perceived value (PV), overall satisfaction (SAT), and e-loyalty (ELOY) in the context of business-to-government (B2G) e-commerce.Design/methodology/approachThe research used an exploratory sequential mixed-method design. A qualitative exploratory study of EMSQ was conducted using a Straussian grounded theory (GT) technique, followed by an explanatory quantitative study using PLS-SEM to evaluate causal links between various research variables.FindingsIn the area of e-services, the investigation found that the hierarchical structure of EMSQ encompasses six broadly applicable dimensions and one B2G context-specific dimension of the e-governance process quality. The study also reinforced previous research findings in the B2C and B2B e-commerce domains, highlighting that e-service quality positively impacts online buyer's PV, SAT and ELOY.Research limitations/implicationsThis research contributed to the area of e-service operations by developing and validating the EMSQ model in the B2G e-commerce settings. Further, it has opened up new research avenues in B2G e-commerce.Practical implicationsThe findings from this research highlighted that e-service operations managers should focus on usability, technological concerns, product/vendor quality concerns, customer support reliability, along with effective e-governance, ordering and logistics processes for e-business success. It also provides policymakers with guidelines for making B2G e-marketplaces sustainable.Originality/valueTo the best of the author's knowledge, this is the first study employing the GT and PLS-SEM techniques to explore EMSQ from the viewpoint of industrial buyers in B2G e-commerce. The study contributed to prior literature by proposing and validating the hierarchical EMSQ model.