bluuebunny/crossref_metadata_2025_split huggingface dataset:
Astrocyte coverage of excitatory synapses correlates to measures of synapse structure and function in primary visual cortex
Authors: Thomas Connon I. , Ryan Melissa A. , McNabb Micaiah C. , Kamasawa Naomi , Scholl Benjamin 
Published: December 2023

AbstractMost excitatory synapses in the mammalian brain are contacted by astrocytes, forming the tripartite synapse. This interface is thought to be critical for glutamate turnover and structural or functional dynamics of synapses. While the degree of synaptic contact of astrocytes is known to vary across brain regions and animal species, the implications of this variability remain unknown. Furthermore, precisely how astrocyte coverage of synapses relates toin vivofunctional properties of individual dendritic spines has yet to be investigated. Here, we characterized perisynaptic astrocyte processes (PAPs) contacting synapses of pyramidal neurons of the ferret visual cortex and, using correlative light and electron microscopy, examined their relationship to synaptic strength and to sensory-evoked Ca2+activity. Nearly all synapses were contacted by PAPs, and most were contacted along the axon-spine interface (ASI). Structurally, we found that the degree of PAP coverage scaled with synapse size and complexity. Functionally, we found that PAP coverage scaled with the selectivity of Ca2+responses of individual synapses to visual stimuli and, at least for the largest synapses, scaled with the reliability of visual stimuli to evoke postsynaptic Ca2+events. Our study shows astrocyte coverage is highly correlated with structural properties of excitatory synapses in the visual cortex and implicates astrocytes as a contributor to reliable sensory activation.
The pitfalls of regression to the mean in bivariate timeseries analysis
Authors: Versluys Thomas M. M. 
Published: December 2023

Abstract1.Plastic traits, capable of taking multiple forms, often correlate with one another or with features of the environment when measured over time. These patterns of correlated change are sometimes assumed to reflect adaptive plasticity, such as coevolved “integrated phenotypes” within individuals, synchronisation between social or mating partners, or responses to environmental gradients.2. Such plasticity is ecologically and evolutionarily important, so there is considerable interest in understanding how it varies between individuals and groups. However, “regression to the mean”, the statistical tendency for traits to revert to the average value, may create the illusion of strong bivariate correlations in timeseries data, including substantial but meaningless variation between individuals.3. We demonstrate this using simulated and real data, revealing how regression to the mean can create bias both within and between samples. We then show, however, that its effects can often be eliminated using autoregressive models.4. We also offer a detailed discussion of how and why regression to the mean arises, introducing the idea that it is both a statistical and ecological phenomenon.
A foundational atlas of autism protein interactions reveals molecular convergence
Authors: Wang Belinda , Vartak Rasika , Zaltsman Yefim , Naing Zun Zar Chi , Hennick Kelsey M. , Polacco Benjamin J. , Bashir Ali , Eckhardt Manon , Bouhaddou Mehdi , Xu Jiewei , Sun Nawei , Lasser Micaela C. , Zhou Yuan , McKetney Justin , Guiley Keelan Z. , Chan Una , Kaye Julia A. , Chadha Nishant , Cakir Merve , Gordon Martin , Khare Prachi , Drake Sam , Drury Vanessa , Burke David F. , Gonzalez Silvano , Alkhairy Sahar , Thomas Reuben , Lam Stephanie , Morris Montana , Bader Ethel , Seyler Meghan , Baum Tierney , Krasnoff Rebecca , Wang Sheng , Pham Presley , Arbalaez Juan , Pratt Dexter , Chag Shivali , Mahmood Nadir , Rolland Thomas , Bourgeron Thomas , Finkbeiner Steven , Swaney Danielle L. , Bandyopadhay Sourav , Ideker Trey , Beltrao Pedro , Willsey Helen Rankin , Obernier Kirsten , Nowakowski Tomasz J. , Hüttenhain Ruth , State Matthew W. , Willsey A. Jeremy , Krogan Nevan J. 
Published: December 2023

SummaryTranslating high-confidence (hc) autism spectrum disorder (ASD) genes into viable treatment targets remains elusive. We constructed a foundational protein-protein interaction (PPI) network in HEK293T cells involving 100 hcASD risk genes, revealing over 1,800 PPIs (87% novel). Interactors, expressed in the human brain and enriched for ASD but not schizophrenia genetic risk, converged on protein complexes involved in neurogenesis, tubulin biology, transcriptional regulation, and chromatin modification. A PPI map of 54 patient-derived missense variants identified differential physical interactions, and we leveraged AlphaFold-Multimer predictions to prioritize direct PPIs and specific variants for interrogation inXenopus tropicalisand human forebrain organoids. A mutation in the transcription factor FOXP1 led to reconfiguration of DNA binding sites and altered development of deep cortical layer neurons in forebrain organoids. This work offers new insights into molecular mechanisms underlying ASD and describes a powerful platform to develop and test therapeutic strategies for many genetically-defined conditions.
The effects of past and expected experiences on revisit intention: a study of Australian and Indonesian tourists
Authors: Maghrifani Dila , Liu Fang , Sneddon Joanne 
Published: December 2023

Purpose
This study aims to better understand tourists’ revisit intention from their perspectives of past and expected experience and to investigate whether the formation of revisit intention differs between tourists from different nationalities.

Design/methodology/approach
The sample consisted of 250 Indonesian tourists who have visited Australia and 275 Australian tourists who have visited Indonesia. The data were analysed by conducting structural equation modelling and multi-group analysis with group comparisons.

Findings
Indonesian tourists’ intention to revisit Australia was influenced by past feeling experience and expected experience, while Australian tourists’ intention to revisit Indonesia was influenced by past feeling and relating experiences and expected experience. Both samples differ significantly in terms of relations between experiences and revisit intention. The relationship between past thinking experience and revisit intention was positive for Indonesians but negative for Australians. The relationship between past relating and expected experience was positive for Australians but negative for Indonesians. In addition, the influence of expected experience on revisit intention was stronger for Australian than Indonesian tourists.

Originality/value
To the best of the authors’ knowledge, this study, for the first time, enriches tourism literature in understanding revisit intention by investigating revisit intention in relation to both past and expected experiences, along with examining nationality differences in the revisit intention formation.
Does the big boss of coins—Bitcoin—protect a portfolio of new-generation cryptos? Evidence from memecoins, stablecoins, NFTs and DeFi
Authors: Chopra Monika , Mehta Chhavi , Lal Prerna , Srivastava Aman 
Published: December 2023

PurposeThe purpose of this research is to primarily understand how crypto traders can use the Bitcoin as a hedge or safe haven asset to reduce their losses from crypto trading. The study also aims to provide insights to crypto investors (portfolio managers) who wish to maintain a crypto portfolio for the medium term and can use the Bitcoin to minimize their losses. The findings of this research can also be used by policymakers and regulators for accommodating the Bitcoin as a medium of exchange, considering its safe haven nature.Design/methodology/approachThis study applies the cross-quantilogram (CQ) approach introduced by Han et al. (2016) to examine the safe-haven property of the Bitcoin against the other selected crypto assets. This method is robust for estimating bivariate volatility spillover between two markets given unusual distributions and extreme observations. The CQ method is capable of calculating the magnitude of the shock from one market to another under different quantiles. Additionally, this method is suitable for fat-tailed distributions. Finally, the method allows anticipating long lags to evaluate the strength of the relationship between two variables in terms of durations and directions simultaneously.FindingsThe Bitcoin acts as a weak safe haven asset for a majority of new crypto assets for the entire study period. These results hold even during greed and fear sentiments in the crypto market. The Bitcoin has the ability to protect crypto assets from sharp downturns in the crypto market and hence gives crypto traders some respite when trading in a highly volatile asset class.Originality/valueThis study is the first attempt to show how the Bitcoin can act as a true matriarch/patriarch for crypto assets and protect them during market turmoil. This study presents a clear and concise representation of this relationship via heatmaps constructed from CQ analysis, depicting the quantile dependence association between the Bitcoin and other crypto assets. The uniqueness of this study also lies in the fact that it assesses the protective properties of the Bitcoin not only for the entire sample period but also specifically during periods of greed and fear in the crypto market.
Investor sentiment and the NFT hype index: to buy or not to buy?
Authors: Baklanova Valeriia , Kurkin Aleksei , Teplova Tamara 
Published: December 2023

PurposeThe primary objective of this research is to provide a precise interpretation of the constructed machine learning model and produce definitive summaries that can evaluate the influence of investor sentiment on the overall sales of non-fungible token (NFT) assets. To achieve this objective, the NFT hype index was constructed as well as several approaches of XAI were employed to interpret Black Box models and assess the magnitude and direction of the impact of the features used.Design/methodology/approachThe research paper involved the construction of a sentiment index termed the NFT hype index, which aims to measure the influence of market actors within the NFT industry. This index was created by analyzing written content posted by 62 high-profile individuals and opinion leaders on the social media platform Twitter. The authors collected posts from the Twitter accounts that were afterward classified by tonality with a help of natural language processing model VADER. Then the machine learning methods and XAI approaches (feature importance, permutation importance and SHAP) were applied to explain the obtained results.FindingsThe built index was subjected to rigorous analysis using the gradient boosting regressor model and explainable AI techniques, which confirmed its significant explanatory power. Remarkably, the NFT hype index exhibited a higher degree of predictive accuracy compared to the well-known sentiment indices.Practical implicationsThe NFT hype index, constructed from Twitter textual data, functions as an innovative, sentiment-based indicator for investment decision-making in the NFT market. It offers investors unique insights into the market sentiment that can be used alongside conventional financial analysis techniques to enhance risk management, portfolio optimization and overall investment outcomes within the rapidly evolving NFT ecosystem. Thus, the index plays a crucial role in facilitating well-informed, data-driven investment decisions and ensuring a competitive edge in the digital assets market.Originality/valueThe authors developed a novel index of investor interest for NFT assets (NFT hype index) based on text messages posted by market influencers and compared it to conventional sentiment indices in terms of their explanatory power. With the application of explainable AI, it was shown that sentiment indices may perform as significant predictors for NFT sales and that the NFT hype index works best among all sentiment indices considered.
The role of experiential familiarity in shaping hotel-chain competitiveness
Authors: Jokelainen Jere , Garrod Brian , Sthapit Erose , Pesonen Juho 
Published: December 2023

Purpose
This study aims to examine the role of experiential familiarity in determining the competitiveness of hotel chains. It does so by comparing the attribute-performance perceptions of guests who had and had not previously stayed at a property belonging to a specific hotel chain. It also examines how far such perceptions shape word-of-mouth and future purchase intentions.

Design/methodology/approach
Data were collected from 1,016 Finnish leisure tourists in 2021 using an online questionnaire, providing a representative sample of Finnish domestic leisure tourists.

Findings
The results indicate that the competitiveness of different hotel chains depends on a small number of key attributes. Differentiation between hotel chains can be seen from the results. Previous guests rate hotel chain attributes more highly than non-previous guests. Behavioral intentions do not differ between previous and non-previous guests, but how many times a person has stayed in the hotel chain significantly influences behavioral intentions. The results provide strategic levers that hotel chains can use to enhance their competitiveness.

Practical implications
Hotels should invest in attributes that have the biggest positive impact on customer behavior. These will be different for different hotel chains. By understanding these differences, it is possible to communicate relevant attributes to customers through marketing and develop hotel features that will drive revisit intention and word-of-mouth marketing.

Originality/value
This study found that while certain hotel attributes had a significant shaping effect on guests’ performance ratings, there were no decisive differences between those with or without experiential familiarity with the hotel chain.
Exploring the role of climate for conflict management and high involvement work practices as moderators in the workplace bullying and work-related depression link
Authors: Ekmekcioglu Emre Burak , Nabawanuka Hamidah , Mohammed Alhassan Yussif , Akparep John Yaw , Ergenç Cansu 
Published: December 2023

Purpose
This paper aims to examine how organizational practices such as climate for conflict management (CCM) and high involvement work practices (HIWPs) reduce the negative consequences of workplace bullying (WPB) on work-related depression (WRD).

Design/methodology/approach
Data were collected from 468 full-time employees working in the financial sector in Türkiye by applying a student-recruited sampling strategy. The aforesaid relationships were assessed using SPSS AMOS 29.

Findings
The results indicated that WPB leads to WRD; however, this effect is alleviated by employee perceptions of strong CCM and the administration of HIWPs in workplace settings.

Research limitations/implications
Collecting data from a single source poses the risks of self-report data bias; however, in the future, data may be collected from multiple sources to lessen this potential threat. The study was a cross-sectional study, which makes it hard to make casual inferences; longitudinal data would be more beneficial to establish casual associations.

Practical implications
Business owners and managers can draw from the study results to create a work environment perceived by employees to be fair when dealing with conflicts and the negative vices of bullying in workplaces. Also, organizations may administer practices that empower employees’ confidence and competence to deal with negative persecution in organizations.

Originality/value
Few studies, if any, have focused on examining the moderating effect of CCM and HIWPs in the association between WPB and WRD. Drawing upon conservation of resources theory, the study stands out as it tests the moderating effect of CCM and HIWPs in the connection between WPB and WRD. The findings contribute to the few available studies tackling organizational factors relevant to alleviating the negative consequences of WPB in organizations.
Coopetition for corporate responsibility and sustainability: does it influence firm performance?
Authors: Bouncken Ricarda , Kumar Amit , Connell Julia , Bhattacharyya Asit , He Kai 
Published: December 2023

PurposeCorporate responsibility and sustainability (CRS) have emerged as an important topic today. At the same time, alliances and coopetition arrangements, as vehicles for inter-firm collaboration have been shown to support firm performance. Still, there has been a lack of research into how coopetition (collaboration with competing firms) in this area may support firm performance.Design/methodology/approachThis study aims to untangle the relationship between coopetition arrangements including CRS and firm performance. The model permits garnering social performance, which is a key to CRS, and to move beyond the traditional view of the coopetition–firm–economic–performance relationship. This study is based on a survey and primary data from 215 firms in Australia. This study uses multiple indicators for the concepts. Relationships are estimated by multiple regression analyses.FindingsUsing survey data from 215 firms in Australia, the research findings confirm that coopetition in CRS can lead to improved firm performance, both in relation to financial and social performances. However, the association between coopetition in CRS and financial performance loses its significance when social performances is introduced as an additional control variable. Further, stakeholder attributes (i.e., effective power and legitimate stake) moderate the relationship between coopetition in CRS and firm financial performance. However, there was no evidence of moderation for the coopetition in CRS – firm social performance relationship.Research limitations/implicationsThis study contributes to both coopetition and corporate social responsibility research. This study demonstrates that improved firm performance may be achieved through the promotion of CRS initiatives when a coopetitive approach is adopted, particularly where an understanding of stakeholder attributes is also evident. Firms do not need to shoulder corporate social responsibility alone. They need to find well-fitting partners. There are new ways to improve sustainability in terms of nature and human relationships.Practical implicationsFirms do not need to shoulder Corporate Social Responsibility (CSR) alone. They need to find well-fitting partners.Originality/valueThis study provides very novel insights by having integrated the literature on coopetition, corporate social responsibility and sustainability resulting in a new conceptual framework that combines coopetition in CRS and performance. The new conceptual framework has both practical and research implications for coopetition in CRS and firm performance.
From zero to Hero: effect of gender diversity on corporate social performance in Brazil
Authors: Pinheiro Alan Bandeira , do Prado Nágela Bianca , Batistella Ana Julia , Ribeiro Cintia De Melo de Albuquerque , Mazzioni Sady 
Published: December 2023

PurposeThe purpose of this study is to examine the effect of board gender diversity on corporate social performance (CSP) in Brazilian companies.Design/methodology/approachThis research collected available information on the CSP, financial performance and governance of Brazilian companies for five years (2016–2020). The dependent variable of this study is CSP (workforce, human rights, community and respect for the product). The independent variable is gender diversity. The authors control financial performance, the presence of a social responsibility committee and the industry sector. The data were analyzed using the dynamic panel data system, which is the generalized method of moments (GMM) estimator.FindingsThis empirical investigation confirmed the hypothesis that the female presence on boards has a positive effect on the CSP of Brazilian companies. The findings of this study are consistent with previous studies. The authors' results suggest that women are more socially aware and exhibit more social corporate behavior.Practical implicationsSupplementing financial reports with nonfinancial information draws the attention of regulators and shareholders. Companies can also create human resources policies for appointing women to senior management positions and a succession plan that values the talent that women bring to companies.Originality/valueA critical mass of women on the board can provide an effective balance, considering the diversity of backgrounds and experiences between men and women. Just one woman on the board can mean representation and resistance, but with a critical amount, female directors can have a voice and help formulate strategies aimed at CSP.
(Re)-discovering simulation as a critical element of OM/SCM research: call for research
Authors: Melnyk Steven Alexander , Thürer Matthias , Blome Constantin , Schoenherr Tobias , Gold Stefan 
Published: December 2023

Purpose This study focuses on (re-)introducing computer simulation as a part of the research paradigm. Simulation is a widely applied research method in supply chain and operations management. However, leading journals, such as the International Journal of Operations and Production Management, have often been reluctant to accept simulation studies. This study provides guidelines on how to conduct simulation research that advances theory, is relevant, and matters.Design/methodology/approach This study pooled the viewpoints of the editorial team of the International Journal of Operations and Production Management and authors of simulation studies. The authors debated their views and outlined why simulation is important and what a compelling simulation should look like.Findings There is an increasing importance of considering uncertainty, an increasing interest in dynamic phenomena, such as the transient response(s) to disruptions, and an increasing need to consider complementary outcomes, such as sustainability, which many researchers believe can be tackled by big data and modern analytical tools. But building, elaborating, and testing theory by purposeful experimentation is the strength of computer simulation. The authors therefore argue that simulation should play an important role in supply chain and operations management research, but for this, it also has to evolve away from simply generating and analyzing data. Four types of simulation research with much promise are outlined: empirical grounded simulation, simulation that establishes causality, simulation that supplements machine learning, artificial intelligence and analytics and simulation for sensitive environments.Originality/value This study identifies reasons why simulation is important for understanding and responding to today's business and societal challenges, it provides some guidance on how to design good simulation studies in this context and it links simulation to empirical research and theory going beyond multimethod studies.