bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrophobic tails enable diverse functions of the extracellular chaperone clusterin
Authors: Yuste-Checa Patricia , Carvajal Alonso I. , Mi Chenchen , Paatz Sarah , Ulrich Hartl F. , Bracher Andreas 
Published: November 2024

AbstractClusterin, a conserved secretory glycoprotein abundant in blood plasma and cerebrospinal fluid, functions as a molecular chaperone and apolipoprotein (Wyatt et al. 2013, Raulin et al. 2022). Dysregulation of clusterin is linked to late-onset Alzheimer’s disease, cardiovascular pathology and cancer (Rohne et al. 2016, Satapathy and Wilson 2021, Wilson et al. 2023). Despite its prominent role in extracellular proteostasis, the chaperone mechanism of clusterin has remained unclear. Here we present crystal structures of human clusterin, revealing a discontinuous three-domain architecture. Structure-based mutational analysis demonstrated that two intrinsically disordered, hydrophobic peptide tails enable diverse clusterin activities. Resembling the N-terminal substrate binding regions of so-called small heat shock proteins, these sequences mediate clusterin’s chaperone function in suppressing amyloid-β, tau and α-synuclein aggregation. In conjunction with highly conserved surface areas, the tail segments also participate in clusterin binding to very low density lipoprotein receptor (VLDLR) and cellular uptake. Moreover, the disordered tails cooperate with an adjacent amphipathic helix in lipoprotein formation, but remain accessible for chaperone function in the lipoprotein complex. The remarkable versatility of these sequences allows clusterin to function alone or bound to lipid in maintaining solubility of aberrant extracellular proteins and facilitating their clearance by endocytosis and lysosomal degradation.
The global dispersal of visceral leishmaniasis occurred within human history
Authors: Reis-Cunha João Luís , Grace Cooper Alastair , Ahmed Sophia , Harnqvist Simon E. , Lynch Cián M. , Boité Mariana Côrtes , Barcellos Gabrielle , Lachaud Laurence , Bastien Patrick , Munt Harry , Mottram Jeremy C. , Cupolillo Elisa , Jeffares Daniel C. 
Published: November 2024

AbstractTheLeishmania donovanispecies complex (LdSC) causes visceral leishmaniasis (VL), is present in Africa, Europe, the Middle East, Asia and the Americas, and causes 20-40,000 fatalities per year. Previous analyses concluded that dispersal of this species complex occurred 1-10 million years ago. Using updated methods and data, we show that a ten-thousand year old East African population dispersed globally only within the last 2,000 years, consistent with human migration, war and colonisation as driving factors.
Sequence clustering with PaSiMap in Jalview
Authors: Morell Thomas , Procter James , Barton Geoffrey J. , Diederichs Kay , Mayans Olga , Fleming Jennifer R. 
Published: November 2024

SummaryPairwise similarity mapping, implemented in the software PaSiMap, can be used as an alternative to principal component analysis (PCA) to analyse protein-sequence relationships. It provides the advantage of distinguishing between systematic and random differences in the dataset. Here, we present a protocol to use PaSiMap inside Jalview. You will be guided through the installation and use of the required software. Furthermore, we present an R script to prepare publication-ready graphs of the obtained data and aid in the subsequent data analysis.
Metabolic Control of Glycosylation Forms for Establishing Glycan-Dependent Protein Interaction Networks
Authors: Liu Xingyu , Yi Li , Lin Zongtao , Chen Siyu , Wang Shunyang , Sheng Ying , Lebrilla Carlito B. , Garcia Benjamin A. , Xie Yixuan 
Published: November 2024

SUMMARYProtein-protein interactions (PPIs) provide essential insights into the complex molecular mechanisms and signaling pathways within cells that regulate development and disease-related phenotypes. However, for membrane proteins, the impact of various forms of glycosylation has often been overlooked in PPI studies. In this study, we introduce a novel approach, glycan-dependent affinity purification followed by mass spectrometry (GAP-MS), to assess variations in PPIs for any glycoprotein of interest under different glycosylation conditions. As a proof of principle, we selected four glycoproteins—BSG, CD44, EGFR, and SLC3A2—as baits to compare their co-purified partners across five metabolically controlled glycan conditions. The findings demonstrate the capability of GAP-MS to identify PPIs influenced by altered glycosylation states, establishing a foundation for systematically exploring the Glycan-Dependent Protein Interactome (GDPI) for other glycoproteins of interest.
Directed insulin secretion occurs at precise cortical regions with optimal ELKS content that are devoid of microtubules
Authors: Fye Margret , Sangowdar Pranoy , Jaythilake Anissa , Noguchi Pi’ilani , Gu Guoqiang , Kaverina Irina 
Published: November 2024

AbstractTo maintain normal blood glucose levels, pancreatic beta cells secrete insulin into the bloodstream at specialized regions at the cell periphery, often called secretion hot spots. While many secretory machinery components are located all over the cell membrane, directed secretion relies on distinct cortical patches of the scaffolding protein ELKS and the microtubule (MT)-anchoring protein LL5β. However, using TIRF microscopy of intact mouse islets to precisely localize secretion events within ELKS/LL5β patches, we now show that secretion is restricted to only 5% of ELKS/LL5β patch area. Moreover, the majority of secretion occurs at the margins of ELKS patches. This suggests that additional factor(s) must be responsible for hot spot definition. Because the MT cytoskeleton plays a regulatory role in the insulin secretion process via both delivery and removal of secretory granules from the secretion sites, we test whether local MT organization defines secretory activity at hot spots. We find that the majority of secretion events occur at regions devoid of MTs. Based on our findings, we present a model in which local MT disassembly and optimal ELKS content are strong predictors of directed insulin secretion.
Subregional activity in the dentate gyrus is amplified during elevated cognitive demands
Authors: Castillon Charlotte C.M. , Otsuka Shintaro , Armstrong John N. , Contractor Anis 
Published: November 2024

AbstractNeural activity in the dentate gyrus (DG) is required for the detection and discrimination of novelty, context and patterns, amongst other cognitive processes. Prior work has demonstrated that there are differences in the activation of granule neurons in the supra and infrapyramidal blades of the DG during a range of hippocampal dependent tasks. Here we used an automated touch screen pattern separation task combined to temporally controlled tagging of active neurons to determine how performance in a cognitively demanding task affected patterns of neural activity in the DG. We found an increase in the blade-biased activity of suprapyramidal mature granule cells (mGCs) during the performance of a high cognitive demand segment of the task, with a further characteristic distribution of active neurons along the apex to blade, and hilar to molecular layer axes. Chemogenetic inhibition of adult-born granule cells (abDGCs) beyond a critical window of their maturation significantly impaired performance of mice when cognitive demand was high, but not when it was low. abDGC inhibition also elevated the total activity of mGCs and disturbed the patterned distribution of active mGCs even in mice that eventually succeeded in the task. Conversely chemogenetic inhibition of mGCs reduced success in the high cognitive demand portion of this task and decreased the global number of active GCs without affecting the patterned distribution of active cells. These findings demonstrate how a high cognitive demand pattern separation task preferentially activates mGCs in subregions of the DG and are consistent with an inhibitory role for abDGCs on the dentate circuit which in part governs the spatially organized patterns of activity of mGCs.
The effect of internal control on earnings response coefficient
Authors: Liu Zhiqiang , Saidin Saidatunur Fauzi , Osman Mohammad Noor Hisham 
Published: November 2024

PurposeThe purpose of this paper is to investigate the effect of internal control (IC) on earnings quality from the perspective of the capital market. Specifically, it examines the effect of IC on earnings response coefficients.Design/methodology/approachThis study uses the moderated regression analysis on a sample of 1,310 Chinese listed firms on the Shanghai Stock Exchange (SSE) from 2020 to 2022. It employed an earnings response coefficient model by Holthausen and Verrecchia (1988) and used the IC score produced by the index created by the Shenzhen Dibo Enterprise Risk Management Technology, i.e. DIB IC, and risk management database.FindingsThe study finds that the capital market placed lower earnings reliability on companies with high IC. This suggests that investors perceived negatively on the IC score of China listed companies, possibly due to their negative perception on the reason for implementation of high IC by those companies. A high IC score may raise suspicion amongst investors that the company has internal issues.Research limitations/implicationsThis study adds to the limited studies on less regulated internal governance mechanisms from the perspective of the capital market. The contradictory result suggests the need for more studies before deriving a solid conclusion.Originality/valueThis study focusses on the under research area of IC rather than the common board of directors and from the perspective of Chinese economies, limited studies of developed countries.
An analytical hierarchical process approach to assessing local food preferences among foreign tourists
Authors: Gupta Vikas , Sharma Karishma 
Published: November 2024

PurposeThis study evaluates the relative preference for local foods among foreign tourists. It also assessed how the sociodemographic profiles of tourists influence their local food preferences.Design/methodology/approachThis research utilized a mixed-methods approach. The initial qualitative analysis phase involved semi-structured, in-depth interviews with stakeholders in Fiji’s local food sector, providing feedback on tourists’ preferred dishes. In the second phase, 204 foreign tourists were surveyed through the location intercept approach at various local restaurants, street food joints and eateries across Fiji. The preferences of these foreign tourists for the local food were subsequently analyzed utilizing the analytical hierarchical process (AHP) model and Chi-square statistics.FindingsThis research identified 25 local food dishes most preferred by foreign tourists. A pairwise comparison matrix revealed that “Kokoda” was most preferred, while “Tuna Ika Vakalolo” was the least preferred, and the normalized matrix presented the estimated overall priorities of the local foods based on taste and flavor. Among all the factors analyzed for their potential influence on the local food preferences of foreign tourists, “education attainment” and “marital status” were found to have no significant influence.Originality/valueThis study highlights the varied local dishes preferred by tourists, assessed through the AHP model, and provides the sociodemographic factors influencing these preferences. By identifying and presenting local Fijian dishes across regions and examining sociodemographics’ impact on food preference, this research provides invaluable implications for significantly benefiting the local food vending sector.
(Re)framing used goods: marketing strategies in second-hand retail
Authors: Hedegård Lars 
Published: November 2024

PurposeThis paper aims to identify marketing strategies incentivizing consumers to purchase used goods and explain how socio-material arrangements frame second-hand retail (SHR). The growing significance and professionalization of SHR underscore the pivotal role of marketing, necessitating an exploration of how second-hand stores can stimulate the consumption of used items.Design/methodology/approachEthnographically inspired fieldwork was conducted across a second-hand shopping mall with 17 stores in Sweden, utilizing actor-network theory (ANT) concepts to examine marketing activities and how these form strategies.FindingsThe findings reveal two marketing strategies: enrolling sustainability supporters and second-hand shoppers. Additionally, the findings provide examples of how SHR can be framed as environmentally friendly, socially sustainable, value for money, creatively experiential and facilitating sustainable consumer behavior.Practical implicationsUnderstanding the framing processes inherent in second-hand retailing presents opportunities to reinforce the transition to a circular economy. Second-hand retailers can leverage marketing to imbue used goods with greater significance for consumers, which necessitates marketing competencies.Originality/valueThe paper delves into activities that enhance the attractiveness of used goods, a research area that warrants increased attention.
Spillover effects among cryptocurrencies in a pandemic: a time frequency approach
Authors: Seyram Kumah Pearl , Baafi Joseph Antwi 
Published: November 2024

PurposeThis study investigates the time-varying volatility spillover connectedness among seven major cryptocurrencies before and during the COVID-19 pandemic. It aims to understand contagion risk and its implications for diversification and financial stability, especially during periods of extreme price volatility.Design/methodology/approachUsing the frequency-domain spillover index, the study analyzes the interconnectedness of cryptocurrency markets with daily data from 10 August 2015 to 10 December 2021. This method allows for examining volatility spillovers across different time frequencies.FindingsThe study finds that cryptocurrencies are highly interconnected at higher frequencies, indicating significant contagion risk and limited short-term diversification opportunities. The spillover effects are frequency-dependent, varying across different time horizons.Practical implicationsThe findings suggest the need for targeted regulatory policies focused on short-term cryptocurrency behavior to maintain financial stability. Investors should exercise caution when using cryptocurrencies for portfolio diversification, given the high interconnectedness and contagion risk.Originality/valueThis study uniquely contributes to the literature by applying a frequency-domain approach to analyze volatility spillovers across multiple cryptocurrencies, particularly in the context of the COVID-19 pandemic. It provides novel insights into the frequency-dependent nature of spillover effects, offering a deeper understanding of the contagion risk in cryptocurrency markets.
Work, wander and repeat: modeling the enablers of digital nomadic lifestyle
Authors: Vohra Vivek , Banishetty Shanthi , Dutta Tanusree , Joshi Aanchal 
Published: November 2024

PurposeThe study aims to outline and hierarchically rank the key enablers that support the digital nomad lifestyle, identifying their interrelationships and contextual importance within the ecosystem.Design/methodology/approachThe study utilizes a multi-method approach encompassing modified total interpretive structural modeling (m-TISM) and matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis, complemented by a one-tailed t-test to validate the model.FindingsThe research identified nine crucial enablers that facilitate the digital nomad lifestyle. The study effectively maps out their hierarchical relationships and the dynamics of their interactions.Research limitations/implicationsWhile the study offers significant insights, it relies heavily on expert opinions, which may introduce subjective bias. Additionally, the dynamic nature of digital nomadism might limit the long-term applicability of the findings.Practical implicationsThe findings have substantial implications for policymakers and corporate leaders. By understanding the key enablers and their interactions, stakeholders can develop targeted strategies that enhance support for digital nomads, potentially increasing organizational flexibility and global reach.Originality/valueThis study contributes original insights by applying an advanced m-TISM approach to the digital nomad sector, a topic of growing relevance in post-pandemic work arrangements. It provides a comprehensive framework that integrates various theoretical and practical perspectives, which were fragmented previously.
Research on hydroacoustic signal processing algorithm based on B-spline and Hilbert transform
Authors: Wei Tianzuo , Zhang Guojun , Wu YuDing , Zhang Wenqing , Dai Wenshu 
Published: November 2024

Purpose
This paper aims to solve the problems of baseline drift, susceptibility to abnormal data interference during baseline drift processing, and phase inconsistency in underwater acoustic target detection and signal processing of single microelectromechanical systems (MEMS) vector hydrophone. To this end, this paper proposes a baseline drift removal algorithm based on Huber regression model with B-spline interpolation (H-BS) and a phase compensation algorithm based on the Hilbert transform.

Design/methodology/approach
First, the Huber regression model is innovatively introduced into the conventional B-spline interpolation (B-spline) to solve the control point vectors more accurately and to improve the anti-interference ability of the abnormal data when the B-spline interpolation fitting removes baseline drift and the baseline drift components in the signals are fitted accurately and removed by the above method. Next, the Hilbert transform is applied to the three-channel output signals of the MEMS vector hydrophone to calculate the instantaneous phase and the phase compensation is performed on the vector X/Y signals with the scalar P signal as the reference.

Findings
Through simulation experiments, it is found that H-BS proposed in this paper has smaller processing error and better robustness than variational modal decomposition and B-spline, but the H-BS algorithm takes slightly longer than the B-spline. In the actual lake test experiments, the H-BS algorithm can effectively remove the baseline drift component in the original signal and restore the signal waveform, and after the Hilbert transform phase compensation, the direction of arrival estimation accuracy of the signal is improved by 1°∼2°, which realizes high-precision orientation to the acoustic source target.

Originality/value
In this paper, the Huber regression model is introduced into B-spline interpolation fitting for the first time and applied in the specialized field of hydroacoustic signal baseline drift removal. Meanwhile, the Hilbert transform is applied to phase compensation of hydroacoustic signals. After simulation and practical experiments, these two methods are verified to be effective in processing hydroacoustic signals and perform better than similar methods. This study provides a new research direction for the signal processing of MEMS vector hydrophone, which has important practical engineering application value.
Elementary school teacher candidates’ perceptions on defining and integrating civic literacy
Authors: Willis Jana M. , Baker Sheila F. , Shulsky Debby 
Published: November 2024

PurposeThe need for strong civic education is constant, and teachers are essential to the delivery of civic education in the classroom. Teachers need confidence and competence to transform students’ civic literacy beyond basic levels to deeper levels preparing them to navigate complexities of American democracy. This study explored the impact of an intentional course experience examining teacher candidates’ perceptions of civic literacy and their perceived ability to integrate civic literacy into the curriculum.Design/methodology/approachThis mixed methods study explored teacher candidates (n = 119) perceptions of civic literacy and their perceived ability to integrate civic literacy into the curriculum. Data were collected using pre- and post-surveys. Data were analyzed using quantitative and qualitative methods. Results were analyzed using paired sample t-tests. Qualitative data were analyzed using a general inductive coding process.FindingsStudy results indicated a significant difference in pre- and post-responses for both increased knowledge of civic literacy and teacher candidates' perceptions regarding the ability to integrate civic literacy into their future curriculum. Qualitative data indicated teacher candidates expanded civic literacy understanding.Originality/valueThis study emphasized the importance of teacher candidates understanding and integrating civic literacy into their curriculum. Findings show candidates start with low civic literacy and lack integration skills. Education must move beyond compartmentalized social studies. Teachers need both knowledge and skills to educate students in civic literacy effectively, preparing learners for civic engagement. Future studies should embed in-depth qualitative data within quantitative responses and examine professors’ pedagogical practices and focus on civic literacy.
Optimal pricing scheme for addictive goods
Authors: Triviza Eleftheria 
Published: November 2024

AbstractThis article analyses how consumers' habit formation and addiction affect firms' pricing policies. I consider both sophisticated consumers, who realize that their current consumption will affect future tastes, and “naive” consumers, who do not. The optimal contract for sophisticated consumers is a two‐part tariff. The main result is that the optimal pricing pattern when the consumer is naive is a “bargain then rip‐off” contract, namely a fixed fee, with the first units priced below cost, and then priced above marginal cost. This holds both under symmetric and asymmetric information about the consumers' degree of sophistication.