bluuebunny/crossref_metadata_2025_split huggingface dataset:
Huntingtin CAG repeat size variations outside the Huntington’s disease complex: associations with depression and anxiety phenotypes and basal ganglia structure
Authors: Vater Magdalena , Rost Nicolas , Eckstein Gertrud , Sauer Susann , Tontsch Alina , Erhardt Angelika , Lucae Susanne , Brückl Tanja , Klopstock Thomas , Sämann Philipp G. , Binder Elisabeth B. 
Published: May 2024

ABSTRACTHuntington’s Disease (HD) is strongly associated with psychiatric symptoms, yet, associations between Huntingtin gene (HTT) CAG repeat size variations and psychiatric phenotypes outside the HD complex are still under-investigated. In this genetic case-control study we compared the distribution ofHTTCAG repeat sizes in predefined ranges between patients with major depressive disorder (MDD) (n=2136) and anxiety disorders (ANX) (n=493), and healthy controls (CON) (n=1566). We used regression models to study interactions between the alleles and associations with fine-granular clinical phenotypes and basal ganglia structure. HD mutations in the range of incomplete penetrance (36-39 repeats) were not overrepresented in patients. In participants older than 48 years, 13-20 repeats on bothHTTalleles were associated with a reduced ANX risk whereas a 13-20|21-26 combination was associated with an increased ANX risk. Post-hoc analyses confirmed a turning point around 21 repeats and trends in the same direction were detected for MDD. The joint patient|CON analysis of the full spectrum of allele combinations confirmed interaction effects and age-dependent allele|risk profiles. A short-by-long interaction effect and an age-dependent negative correlation of the short allele on the nucleus accumbens volume was detected, independently of the diagnostic group. In conclusion, we revealed thatHTTCAG repeat sizes of both alleles in the non-HD range modulate the susceptibility for common psychiatric disorders and basal ganglia structure in an age-dependent way, displaying that normal variation of the functionally diverse wildtype huntingtin protein may already impact brain function.
Flexible behavioral adjustment to frustrative nonreward in anticipatory behavior, but not in consummatory behavior, requires the dorsal hippocampus
Authors: Hagen Christopher , Hoxha Megi , Chitale Saee , White Andre O. , Ogallar Pedro , Expósito Alejandro N. , Agüera Antonio D. R. , Torres Carmen , Papini Mauricio R. , Sabariego Marta 
Published: May 2024

AbstractThe hippocampus (HC) is recognized for its pivotal role in memory-related plasticity and facilitating adaptive behavioral responses to reward shifts. However, the nature of its involvement in the response to reward downshifts remains to be determined. To bridge this knowledge gap, we explored the HC’s function through a series of experiments in various tasks involving reward downshifts and using several neural manipulations in rats. In Experiment 1, complete excitotoxic lesions of the HC impaired choice performance in an 8-maze task after reducing the quantity of sugar pellet rewards. In Experiment 2, whereas chemogenetic inhibition of the dorsal HC left consummatory responses unaffected after a sucrose downshift, it significantly disrupted anticipatory behavior following a food-pellet reward reduction. Experiments 3-5 used peripheral lipopolysaccharide (LPS) treatment and found an increase in cytokine levels in the dorsal HC (dHC, Experiment 3), impaired anticipatory choice (Experiment 4), but no effect on consummatory behavior in two reward-downshift tasks. In Experiment 6, after a sucrose downshift, we found no evidence of increased activation in either the dorsal or ventral HC, as measured by c-Fos expression. These findings highlight the HC’s pivotal role in adaptively modulating anticipatory behavior in response to frustrative nonreward, while having no effect on adjustments of consummatory behavior. Spatial orientation, memory update, choice of reward signals of different value, and anticipatory vs. consummatory adjustments to reward downshift are discussed as potential mechanisms that could elucidate the specific effects observed from HC manipulations.
Biomolecular condensates sustain pH gradients at equilibrium driven by charge neutralisation
Authors: Ausserwöger Hannes , Scrutton Rob , Sneideris Tomas , Fischer Charlotte M. , Qian Daoyuan , de Csilléry Ella , Saar Kadi L. , Białek Alan Z. , Oeller Marc , Krainer Georg , Franzmann Titus M. , Wittmann Sina , Iglesias-Artola Juan M. , Invernizzi Gaetano , Hyman Anthony A. , Alberti Simon , Lorenzen Nikolai , Knowles Tuomas P. J. 
Published: May 2024

AbstractElectrochemical gradients are essential to the functioning of cells and are typically formed across membranes using active transporters and require energy input to maintain them. Here, we show by contrast that biomolecular condensates are able to sustain significant pH gradients without any external energy input. We explore the thermodynamic driving forces that establish this gradient using a microfluidics-based droplet platform that allows us to sample in a continuous manner both the stability and composition of the condensates across a wide pH range. These results reveal that condensed biomolecular systems adjust the pH of the dense phase towards the isoelectric point (pI) of the component polypeptide chains. We demonstrate, on the basis of two representative systems, FUS and PGL3, that condensates can create both alkaline and acidic gradients with a magnitude exceeding one pH unit. Investigations of multicomponent protein/nucleic acid systems further show that heterotypic interactions can modulate condensate pH gradients. We further investigate using a bioinformatics approach the diversity of electrochemical properties of complex condensates by studying a large set of human condensate networks, showing that these span a wide range of mixture pIs and pH-response behaviours. In summary, our results reveal that protein condensation may present a fundamental physico-chemical mechanism for the effective segregation and optimisation of functional processes through changes in the emergent electrochemical microenvironment.
Electron-photon exchange-correlation approximation for quantum-electrodynamical density-functional theory
Authors: Lu I-Te , Ruggenthaler Michael , Tancogne-Dejean Nicolas , Latini Simone , Penz Markus , Rubio Angel 
Published: May 2024

Quantum-electrodynamical density-functional theory (QEDFT) provides a promising avenue for exploring complex light-matter interactions in optical cavities for real materials. Similar to conventional density-functional theory, the Kohn-Sham formulation of QEDFT needs approximations for the generally unknown exchange-correlation functional. In addition to the usual electron-electron exchange-correlation potential, an approximation for the electron-photon exchange-correlation potential is needed. A recent electron-photon exchange functional [C. Schäfer , ], derived from the equation of motion of the nonrelativistic Pauli-Fierz Hamiltonian, shows robust performance in one-dimensional systems across weak- and strong-coupling regimes. Yet, its performance in reproducing electron densities in higher dimensions remains unexplored. Here we consider this QEDFT functional approximation from one- to three-dimensional finite systems and across weak to strong light-matter couplings. The electron-photon exchange approximation provides excellent results in the ultrastrong-coupling regime. However, to ensure accuracy also in the weak-coupling regime across higher dimensions, we introduce a computationally efficient renormalization factor for the electron-photon exchange functional, which accounts for part of the electron-photon correlation contribution. These findings extend the applicability of photon-exchange-based functionals to realistic cavity-matter systems, fostering the field of cavity QED (quantum-electrodynamics) materials engineering.

Published by the American Physical Society
2024
Dynamical quantum phase transitions following a noisy quench
Authors: Jafari R. , Langari A. , Eggert S. , Johannesson Henrik 
Published: May 2024

We study how time-dependent energy fluctuations impact the dynamical quantum phase transitions (DQPTs) following a noisy ramped quench of the transverse magnetic field in a quantum Ising chain. By numerically solving the stochastic Schrödinger equation of the mode-decoupled fermionic Hamiltonian of the problem, we identify two generic scenarios: Depending on the amplitude of the noise and the rate of the ramp, the expected periodic sequence of noiseless DQPTs may either be uniformly shifted in time or else replaced by a disarray of closely spaced DQPTs. Guided by an exact noise master equation, we trace the phenomenon to the interplay between noise-induced excitations which accumulate during the quench and the near-adiabatic dynamics of the massive modes of the system. Our analysis generalizes to any one-dimensional fermionic two-band model subject to a noisy quench.

Published by the American Physical Society
2024
Authenticity in small businesses: exploring the consequences of brand authenticity
Authors: Lu Shiwen , Ahn Jiseon 
Published: May 2024

PurposeAlthough small businesses are important to the economy, few studies have examined how the small restaurant experience influences customer behavior. Thus, the purpose of this study is to develop a model and examine the influence of small restaurant attributes (i.e. authenticity) on customers’ positive attitudes and behavior.Design/methodology/approachUsing 181 responses from customers of small restaurants, this study examines how the dimensions of authenticity (i.e. continuity, credibility, integrity, and symbolism) affect customers’ positive behavioral intentions through emotional attachment.FindingsThe results of partial least squared–structural equation modeling demonstrate that customer perceptions of symbolism, credibility, and integrity in their experience at a small restaurant influence their attachment, which in turn influences both their word of mouth and revisit intentions. However, continuity has no significant effect on customers’ emotional attachment to service providers. Also, the effects of authenticity on customer behavior vary across demographic categories.Originality/valueWith increasing competition in the small business context, service providers seek to understand how to create positive customer patronization behavior. This study provides guidelines for small business owners who are developing marketing strategies.
Building a wisdom community through femtoring/mentoring: Latinx faculty and students at a Hispanic-serving institution
Authors: Contreras Aguirre Hilda Cecilia 
Published: May 2024

PurposeThe purpose is to gain insight into the benefits of mentoring and using femtoring as an inclusive approach for minoritized and underrepresented students and faculty, who are often challenged in feeling welcomed, included and valued at higher education institutions.Design/methodology/approachThis study used a qualitative inquiry design, in which focus groups, interviews and participant testimonios were collected throughout spring and fall 2022. Testimonio and plática (dialogue) techniques were employed to allow participants to describe their journeys in college and as members of the femtoring/mentoring program.FindingsUndergraduate students as mentees/femtees enjoyed finding a place and space to develop meaningful and positive relationships with other students and Latinx faculty. Faculty and graduate students as femtors/mentors perceived their relationships with students as enriching and energizing, practicing values like transparency, honesty and care.Research limitations/implicationsThe study included participants of a specific mentoring program whose experiences and opinions might differ from others. Additionally, persons from other minority groups could experience inequities and unfair practices in college in different ways and find other forms of support.Practical implicationsHispanic-serving institutions (HSIs) must create programs that promote student–faculty community and collaboration. It is also critical to inform international faculty about Latinx students’ characteristics and needs. Training sessions for graduate students and faculty in leadership and mentoring at HSIs are equally significant in fostering an inclusive and supportive educational environment.Originality/valueThis paper contributes to the literature on mentoring practices to support Latinx students in their college journeys and prepare faculty of color for their mentoring and coaching roles. Femtoring and communities of wisdom concepts were applied to a specific femtoring/mentoring program.
Archetypes of influential users in social question-answering sites
Authors: Chen Miaomiao , Chua Alton Y.K. , An Lu 
Published: May 2024

PurposeThis paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another?Design/methodology/approachBased on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from their ongoing participation behavior in the community using the Gaussian mixture model. Additionally, user feedback characteristics such as relevance and volume from 222,965 commenters who contributed 546,344 comments were analyzed using the multinomial logistic regression model to investigate the archetype change of influential users.FindingsFindings suggest that influential users could be clustered into three distinctive archetypes: touch-and-go influential users, proactive influential users and super influential users. Moreover, feedback variables have various impacts on the influential user archetype change, including a shift toward creating higher-quality content and fostering increased interaction, a shift toward generating lower-quality content and decreased interaction but improved speed and having mixed effects due to differences in information processing among these archetypes.Originality/valueThis study expands the existing knowledge of influential users and proposes practical approaches to cultivate them further.
Exposition of techno-functional components of intelligent food supply chain: a review and future research agenda
Authors: Sharma Anil Kumar , Srivastava Manoj Kumar , Sharma Ritu 
Published: May 2024

Purpose
The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps.

Design/methodology/approach
This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components’ knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies’ adoption as well as its barriers and challenges for iFSC.

Findings
This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies.

Originality/value
The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.
Reconciling the conflicting goals of privacy protection and competition policy through making platform use data saleable – an institutional perspective on data markets
Authors: Reimers Kai , Guo Xunhua 
Published: May 2024

PurposeIt has become increasingly clear that the objectives of privacy and competition policy are in conflict with one another with regard to platform data. While privacy policies aim at limiting the use of platform data for purposes other than those for which the data were collected in order to protect the privacy of platform users, competition policy aims at making such data widely available in order to curb the power of platforms.Design/methodology/approachWe draw on Commons' Institutional Economics to contrast the current control-based approaches to ensuring the protection as well as the sharing of platform data with an ownership approach. We also propose the novel category of platform use data and contrast this with the dichotomy of personal/non-personal data which underlies current regulatory initiatives.FindingsWe find that current control- and ownership-based approaches are ineffective with regard to their capacity to balance these conflicting objectives and propose an alternative approach which makes platform data saleable. We discuss this approach in view of its capacity to balance the conflicting objectives of privacy and competition policy and its effectiveness in supporting each separately.Originality/valueOur approach clarifies the fundamental difference between data markets and other concepts such as data exchanges.
An empirical examination of financial performance and distress profiles during COVID-19: the case of fishery and food production firms in Vietnam
Authors: Dao Binh Thi Thanh , Coenders Germa , Lai Phuong Hoai , Dam Trang Thi Thu , Trinh Huong Thi 
Published: May 2024

Purpose
Financial ratios are often used to classify firms into different clusters of financial performance. This study aims to classify firms using financial ratios with advanced techniques and identify the transition matrix of firms moving clusters during the COVID-19 period.

Design/methodology/approach
This study uses compositional data (CoDa) analysis based on existing clustering methods with transformed data by weighted logarithms of financial ratios. The data include 66 listed firms in Vietnam’s food and beverage and fishery sectors over a three-year period from 2019 to 2021, including the COVID-19 period.

Findings
These firms can be classified into three clusters of distinctive characteristics, which can serve as benchmarks for solvency and profitability. The results also show the migration from one cluster to another during the COVID-19 pandemic, allowing for the calculation of the transition probability or the transition matrix.

Practical implications
The findings indicate three distinct clusters (good, average and below-average firm performance) that can help financial analysts, accountants, investors and other strategic decision-makers in making informed choices.

Originality/value
Clustering firms with their financial ratios often suffer from various limitations, such as ratio choices, skewed distributions, outliers and redundancy. This study is motivated by a weighted CoDa approach that addresses these issues. This method can be extended to classify firms in multiple sectors or other emerging markets.
Sarcasm detection in hotel reviews: a multimodal deep learning approach
Authors: Liu Yang , Chi Maomao , Sun Qiong 
Published: May 2024

Purpose
This study aims to detect consumer sarcasm through inconsistencies in sentiment features between text and images of hotel reviews.

Design/methodology/approach
This paper proposes a model for sarcasm detection based on multimodal deep learning using reviews of three hotel brands collected from two travel platforms, which can identify emotional inconsistencies within a modality and across modalities. Text-image interaction information is explored using graph neural networks (GNN) to detect essential clues in sarcasm sentiment.

Findings
The research results show that the multimodal deep learning model outperforms other baseline models, which can help to understand hotel service evaluation and provide hotel managers with decision-making opinions.

Originality/value
This research can help hoteliers in two ways: detecting service quality and formulating strategies. By selecting reference hotel brands, hoteliers can better assess their level of service quality (optimal resource allocation ensues); therefore, sarcasm detection research is not only beneficial for hotel managers seeking to improve service quality. The multimodal deep learning method introduced in the present study can be replicated in other industries to help travel platforms optimize their products and services.
To do or not to do? A typology of ethical dilemmas in services (TEDS)
Authors: Tsiotsou Rodoula H. , Kabadayi Sertan , Leigh Jennifer , Bayuk Julia , Horton Brent J. 
Published: May 2024

PurposeThis paper seeks to deepen and improve our understanding of business ethics in services by developing a typology that reconciles and integrates disparate and often conflicting ideas and viewpoints while providing practical guidance for ethical decision-making.Design/methodology/approachThe paper examines current theoretical approaches in ethics to provide an understanding of the ethical theories, how they have been applied and how they have evolved in businesses and marketing. It discusses conceptual issues related to ethical dilemmas and the available typologies.FindingsBased on the axioms of the Triple-A Framework for Ethical Service Research, the Typology of Ethical Dilemmas in Services (TEDS) is proposed. The typology identifies three types of dilemmas based on four dimensions considering all service interactions guided by normative ethics (virtue, deontological and consequentialism).Practical implicationsThe proposed DILEMMAS process illustrates the practical application of TEDS.Originality/valueThis paper extends the ethics and services literature by offering a novel theoretical and practical approach to addressing ethical dilemmas. TEDS is authentic, advances our knowledge and applies to all service organizations that aim to manage ethical dilemmas effectively.