bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endogenous and fluorescent sterols reveal the molecular basis for ligand selectivity of human sterol transporters
Authors: Depta Laura , Bryce-Rogers Hogan P. , Dekker Nienke J. , Bønke Anna Wiehl , Camporese Nicolo’ , Qian Mingxing , Xu Yuanjian , Covey Douglas F. , Laraia Luca 
Published: July 2024

ABSTRACTSterol transport proteins (STPs) play a pivotal role in cholesterol homeostasis and therefore are essential for healthy human physiology. Despite recent advances in dissecting functions of STPs in the human cell, there is still a significant knowledge gap regarding their specific biological functions and a lack of suitable selective probes for their study. Here, we profile fluorescent steroid-based probes across ten STPs, uncovering substantial differences in their selectivity, aiding the retrospective and prospective interpretation of biological results generated with those probes. These results guided the establishment of an STP screening panel combining diverse biophysical assays, enabling the evaluation of 41 steroid-based natural products and derivatives. Combining this with a thorough structural analysis revealed the molecular basis for STP specific selectivity profiles, leading to the uncovering of several new potent and selective Aster-B inhibitors, and supporting the role of this protein in steroidogenesis.
Membranous translation platforms in the chloroplast ofChlamydomonas reinhardtii
Authors: Sun Yi , Bakhtiari Shiva , Valente-Paterno Melissa , Jiang Heng , Zerges William 
Published: July 2024

ABSTRACTA small genome in chloroplasts encodes polypeptide subunits of the photosynthetic electron transport complexes in the membranes of thylakoid vesicles in the chloroplast stroma. Trans-membrane subunits of these complexes undergo co-translational membrane insertion during their synthesis by ribosomes of the bacterial-like genetic system of this semiautonomous organelle. While thylakoid membranes are sites of translation, evidence in the unicellular algaChlamydomonas reinhardtiisupports translation also on non-canonical membranes in a discrete translation-zone in the chloroplast. To characterize the membranous platforms for translation and the biogenesis of thylakoid membrane, we profiled membranes during chloroplast development, using theyellow-in-the-dark 1mutant, and carried out proteomic analyses on membranes of interest. The results support roles of two membrane types in preliminary and ongoing stages of translation: a “low-density membrane” and a denser “chloroplast translation membrane”, respectively. These roles are based on correlations of the relative levels of each membrane type and the translational status of the chloroplast before, during and after chloroplast differentiation and results of proteomic analyses. Our results support a model of photosynthesis complex biogenesis in a spatiotemporal “assembly line” involving LDM and CTM as sequential stages leading to photosynthetic thylakoid membranes.
Comment on “Towards exact solutions for the superconducting
Tc
induced by electron-phonon interaction”
Authors: Palle Grgur 
Published: July 2024

In a series of recent papers starting with , Liu, Yang, Pan claim to have determined the exact dressed electron-boson vertex for a number of very general interacting many-body problems by inverting certain Ward-Takahashi identities. Here, we point out that their Ward-Takahashi identities are missing terms which make the inversion of the identities impossible. One therefore cannot formulate exact self-contained integral equations for the dressed electron propagator. In addition, the proposed vertex expressions do not reproduce well-established results for the leading perturbative corrections.

Published by the American Physical Society
2024
Scale invariant scotogenic model: CDF-II
W
-boson mass and the 95 GeV excesses
Authors: Ahriche Amine , Bellilet Mohamed Lamine , Khojali Mohammed Omer , Kumar Mukesh , Mulaudzi Anza-Tshildzi 
Published: July 2024

The anomalies observed in the W mass measurements at the CDF-II experiments and the excesses seen around 95 GeV at the Large Hadron Collider (LHC) motivate this work, in which we investigate and constrain the parameter space of the Scale Invariant Scotogenic Model with a Majorana dark matter candidate. The scanned parameters are chosen to be consistent with the dark matter relic density and the observed excesses at ∼95  GeV signal strength rates in different channels. We found that significant part of the viable space addresses the excess in the channel γγ, while a tight part can address the excess in both γγ and bb¯ channels. Furthermore, the model’s viable parameters can be probed in both the LHC and future e+e− colliders for di-Higgs production.

Published by the American Physical Society
2024
Self-selection out of formal credit markets: evidence from rural Vietnam
Authors: Khuong Ninh Le 
Published: July 2024

PurposeThis paper examines why farmers self-select out of formal credit markets even though they need external funds.Design/methodology/approachWe use probit and Bayesian probit estimators to detect the determinants of self-selection behavior based on a primary dataset of 2,212 rice farmers in Vietnam. After that, we use the multinomial probit (MNP) and Bayesian MNP estimators to reveal the impact of relevant factors on the decision to self-select for farmers belonging to each self-selection category.FindingsThe probit and Bayesian probit estimators show that the decision to self-select depends on household head age, income per capita, farm size, whether or not to have relatives or friends working for banks, the number of previous borrowings, risks related to natural disasters, diseases, and rice price, and the number of banks with which the farmer has relationships. The MNP and Bayesian MNP estimators give further insights into the decision of farmers to self-select in that determinants of the self-selection behavior depend on the reasons to self-select. In concrete, farm size and the number of previous borrowings mitigate the self-selection of farmers who did not apply for loans due to having access to other preferred sources of credit. The self-selection of farmers not applying for loans because of unfavorable loan terms is conditional on household head age, farming experience, income, farm size, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with. Several factors, including education, income, the distance to the nearest bank, whether or not having relatives or friends working for banks, the number of previous borrowings, risks, and the number of banks the farmer has relationships with, affect the self-selection of farmers not applying for loans because of high borrowing costs. The self-selection of farmers not applying for loans because of complex application procedures depends on income and the number of previous borrowings. Finally, the household head’s age, gender, experience, income, farm size, the amount of trade credit granted, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with are the determinants of the self-selection of farmers not applying for loans because of a fear not being able to repay.Practical implicationsThis paper fills the knowledge gap by investigating why farmers self-select out of formal credit markets. It provides evidence of how the farmers’ subjective perceptions of rural credit markets contribute to their self-selection.Originality/valueThis paper shows that demand-side constraints are also vital for farmers’ access to bank credit. Improving credit access via easing supply-side constraints may not increase credit uptake without addressing demand-side factors. Given that finding, it recommends policies to improve access to bank credit for farmers regarding the demand side.
Humanitarian supply chain resilience: does organizational flexibility matter?
Authors: Tetteh Francis Kamewor , Owusu Kwateng Kwame , Tani William 
Published: July 2024

PurposeThe COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).Design/methodology/approachA model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.FindingsThe study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.Practical implicationsIt is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.Originality/valueThis presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.
Frac-hits and connections of multi-well hydrofracturing fracture network involving the variable factors: well spacing, perforation cluster spacing and injection rate
Authors: Wang Yongliang , Li Liangchun , Liu Nana 
Published: July 2024

PurposeWith the development of fracturing technology, the research of multi-well hydrofracturing becomes the key issue. Frac-hits in multi-well hydrofracturing has an important effect on fracture propagation and final production of fractured well; in the process of hydrofracturing, there are many implement parameters that can affect frac-hits, and previous studies in this area have not systematically targeted the influence of a single parameter on multi-well hydrofracturing. Therefore, it is of great significance to study the occurrence rule and influence of frac-hits for optimizing the design of fracturing wells.Design/methodology/approachBased on the proposed numerical models, the effects of different fracturing implement parameters (perforation cluster spacing, well spacing and injection rate) on frac-hits are compared in numerical cases. Through the analysis of fracture network, stress field and microseismic, the effects of different fracturing implement parameters on frac-hits and connections are compared.FindingsThe simulation results show that the effect of perforation cluster spacing and well spacing on frac-hits is greater than that of injection rate. Smaller well spacing makes it easier for fractures between adjacent wells to interact with each other, which increases the risk of frac-hits and reduces the risk of fracture connections. Smaller perforation cluster spacing results in larger individual fracture lengths and greater deflection angles, which makes the possibility of frac-hits and connections greater. The lower the injection rate, the lower the probability of frac-hits.Originality/valueIn this study, the influence of different fracturing implement parameters on frac-hits and connections in multi-well hydrofracturing is studied, and the mechanism of frac-hits and connections is analyzed through fracture network, stress field and microseismic analysis. Different simulation results are compared to optimize fracturing well parameter design and provide reference for engineering application.
Sources of information and the influence of misinformation on COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: evidences from Dar es Salaam and Dodoma
Authors: Masele Juma James , Daud Elia 
Published: July 2024

PurposeThis study aims to assess the sources of COVID-19 information respondents relied for COVID-19 pandemic information access and use, forms of misinformation and their influence on COVID-19 vaccine uptake hesitancy among frontline workers.Design/methodology/approachA Google Form developed questionnaire, distributed conveniently through link shared through WhatsApp groups was used to collect data from frontline workers from Dar es Salaam and Dodoma cities. Analysis was done using a binary regression analysis.FindingsIt was found that it was not the source that mattered for one to be hesitancy or not on COVID-19 vaccination, but the extent to which the information the source channels was manipulated or false.Research limitations/implicationsRelying only Google Form questionnaire sent through a link on WhatsApp may have compromised the quality of information gathered and the quality of conclusion. Another study may have conducted through researcher administered questionnaire to a bigger sample to increase conclusion reliability and validity.Practical implicationsThis study urges that to increase the COVID-19 vaccine uptake, it is important to ensure that the quality of information from the revealed dependable sources is checked to avoid possible consequential disquiet resulting from misinformation.Originality/valueAs the world is striving toward combating the COVID-19 or at least lessening its effects, this paper is of its own kind, using the theory of informative fictions to guide the assessment of the sources of information and the extent to which they influence misinformation on COVID-19 vaccine uptake hesitancy.
An integrative research framework to investigate factors influencing citizen’s intention to adopt e-health applications: post-COVID-19 perspective
Authors: Alnaser Firas , Rahi Samar , Alghizzawi Mahmoud , Ngah Abdul Hafaz 
Published: July 2024

Purpose
The use of e-health applications has remained popular during pandemic for medical treatments. Nevertheless, adoption of e-health applications among individuals is considerably low in post-COVID-19 world. To address this issue, the current research integrates three renowned theories, namely unified theory of acceptance and use of technology model, diffusion of innovation and DeLone and McLean model and investigates individual intention to adopt e-health application.

Design/methodology/approach
Research design is grounded in quantitative and cross-sectional methods and uses a survey questionnaire. Survey questionnaire is administered toward smartphone users. Overall, 238 valid responses were analyzed with structural equation modeling approach.

Findings
Results indicate that altogether performance expectancy, effort expectancy, information quality, system quality, service quality, facilitating condition and social influence explained substantial variance (R2 = 76.5%) in user intention to adopt e-health applications. Similarly, effect size analysis has revealed substantial impact of social influence on user intention to adopt e-health applications. Geiser and Stone’s Q2 analysis discloses that research model has substantial power to predict user intention to adopt e-health applications.

Practical implications
This study integrates three known information system models to investigate individual behavior toward adoption of e-health applications. In practice, it suggests that managers should pay attention in improving performance expectancy, social influence, facilitating condition, system quality, service quality and information quality which develop positive behavior and encourage smartphone users to adopt e-health applications.

Originality/value
This study is original as it integrates three models and investigates individual intention to adopt e-health applications. To the best of the author’s knowledge, this is the first study to test the moderating impact of patient health value between user intention to adopt and actual use of e-health applications. It has established that compatibility and innovativeness are essential antecedents of performance and effort expectancy and hence make this research more unique and valuable.
Competitive dynamics in a multi-sided mobile payment platform market: an agent-based modeling perspective
Authors: Zaffar Muhammad Adeel , Kumar Ram , Zhao Kexin 
Published: July 2024

PurposeThe purpose of this research is to develop a comprehensive model to better understand competitive dynamics between mobile payment providers in a multi-sided market featuring customers and merchants. This is undertaken by modeling customers performing financial transactions with merchants while two mobile payment systems (MPS) providers deploy different strategies to compete for market share.Design/methodology/approachThe authors developed an agent-based simulation model using the NetLogo environment. The simulation featured two competing platform providers, 1,000 customer agents and 50 merchant agents. Past research, interviews and surveys were conducted to accurately model the behavior of the agents. Each simulation run lasted for 50 time periods. A total of 1,024 experimental conditions were designed to model different competitive environments, and 50 replications were conducted for a total of 51,200 experiments.FindingsThe simulation model provides insight into MPS platform providers’ competitive strategies by simultaneously modelling socioeconomic interactions between customers, merchants and MPS.Research limitations/implicationsFrom a methodological perspective, the paper contributes a comprehensive model that can be used to study competitive dynamics between competing platforms in a multi-sided market. From the perspective of competitive strategies, the results show that pricing alone is not sufficient to influence MPS diffusion. Interactions between pricing, customers’ risk perception, perceived security and ease of use of the platform create unexpected same-side and cross-side network effects, which affect MPS diffusion.Practical implicationsWhile pricing remains a crucial lever for MPS to compete for market share, they should focus on enhancing customers’ and merchants’ trust and reduce their risk perception. This can be done through the improvement of the user experience of their platform, development of educational materials and marketing campaigns that address concerns around security, data breaches and perceived risk.Originality/valueThe paper is a direct response to a recent call for action on studying competition between MPS platforms by simultaneously modelling the socio-economic behavior of heterogeneous consumers and merchants. The proposed agent-based simulation model can be used to provide insights into competitive strategies and as a building block for subsequent research in this area.
Money and values in couples: a cross-welfare system comparison of gender values
Authors: Jimenez-Rodriguez Olga , Requena Felix 
Published: July 2024

PurposeMoney management practices among couples from 27 countries were studied to understand how they reflect egalitarian values. The welfare system was used as a classification criterion, to account for the distinct socio-political contexts in which couple relationships are formed.Design/methodology/approachThe data are sourced from the 2012 Survey on Family and Changing Gender Roles of the International Social Survey Programme. The analytical strategy used has been binary logistic regression.FindingsThe results demonstrate that participation of the woman in the household economy and financial decision-making indicates higher levels of egalitarian values in the couple. Couples who distinguish between a common fund and individual funds demonstrate more egalitarian values than those who have only a common fund. Besides, symmetry in the couple in terms of the income level of each partner increased the probability of having more egalitarian values. Greater equality was found among couples who resided in countries with a Mediterranean welfare system.Originality/valueThe paper makes an original contribution to the field of sociology and social policy by focus on couples' money management and improve understanding of the finance-well-being nexus.
Threshold inflation and relative price variability – a proposal for inflation targeting in Lebanon
Authors: Rather Sartaj Rasool , Abosedra Salah 
Published: July 2024

PurposeThe study investigates the impact of inflation on the variability of relative prices in the context of Lebanon.Design/methodology/approachUnlike the traditional method, which relies on the variance of cross-sectional price changes measured at specific points in time to gauge the variability in relative prices, we employ a more appropriate approach. Under this approach, we capture the dispersion in relative prices by estimating how widely (or closely) a set of commodity prices drift apart over a span of time, offering a more comprehensive assessment. Firstly, we employ Johansen’s cointegration test on rolling subsamples to determine the number of statistically significant cointegrating vectors among the prices of 12 major commodity groups. Under this approach, an increase in the number of significant cointegrating vectors indicates a reduction in relative price variability, while a decrease suggests the opposite. Subsequently, we employ ordinary least squares regression to analyze how the fluctuations in inflation affect the variability in relative prices. The sample period ranges from December 2007 to April 2021.FindingsThe empirical results indicate that there exists a certain threshold inflation rate corresponding to which the variability in relative prices is minimized. More importantly, consistent with the theoretical predictions, the results suggest that it is not inflation per se, but the deviation of inflation from the 3% threshold level in either direction that causes higher dispersion in relative prices.Research limitations/implicationsThe empirical findings from this study have crucial implications for the operation of monetary and fiscal policy. In particular, these findings suggest that stabilizing long-term inflation around a certain threshold rate will not only help to anchor inflation expectations effectively but will also minimize the welfare costs associated with inflation.Originality/valueGiven the rising inflationary pressure in the recent past and its welfare costs, the study assumes crucial importance in understating how fluctuations in inflation distort the relative price structure and eventually cause resource misallocations and economic inefficiency.