bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subchronic alteration of vestibular hair cells in mice: implications for multisensory gaze stabilization
Authors: Schenberg Louise , Palou Aïda , Simon François , Bonnard Tess , Barton Charles-Elliot , Fricker Desdemona , Tagliabue Michele , Llorens Jordi , Beraneck Mathieu 
Published: April 2023

AbstractThe functional complementarity of the vestibulo-ocular reflex (VOR) and optokinetic reflex (OKR) allows for optimal combined gaze stabilization responses (CGR) in light. While sensory substitution has been reported following complete vestibular loss, the capacity of the central vestibular system to compensate for partial peripheral vestibular loss remains to be determined. Here, we first demonstrate the efficacy of a 6-week subchronic ototoxic protocol in inducing transient and partial vestibular loss which equally affects the canal- and otolith-dependent VORs. Immunostaining of hair cells in the vestibular sensory epithelia revealed that organ-specific alteration of type I, but not type II, hair cells correlates with functional impairments. The decrease in VOR performance is paralleled with an increase in the gain of the OKR occurring in a specific range of frequencies where VOR normally dominates gaze stabilization, compatible with a sensory substitution process. Comparison of unimodal OKR or VOR versus bimodal CGR revealed that visuo-vestibular interactions remain reduced despite a significant recovery in the VOR. Modeling and sweep-based analysis revealed that the differential capacity to optimally combine OKR and VOR correlates with the reproducibility of the VOR responses. Overall, these results shed light on the multisensory reweighting occurring in pathologies with fluctuating peripheral vestibular malfunction.
COVID-19 and silent hypoxemia in a minimal closed-loop model of the respiratory rhythm generator
Authors: Diekman Casey O. , Thomas Peter J. , Wilson Christopher G. 
Published: April 2023

AbstractSilent hypoxemia, or ‘happy hypoxia’, is a puzzling phenomenon in which patients who have contracted COVID-19 exhibit very low oxygen saturation (SaO2< 80%) but do not experience discomfort in breathing. The mechanism by which this blunted response to hypoxia occurs is unknown. We have previously shown that a computational model (Diekman et al., 2017, J. Neurophysiol) of the respiratory neural network can be used to test hypotheses focused on changes in chemosensory inputs to the central pattern generator (CPG). We hypothesize that altered chemosensory function at the level of the carotid bodies and/or thenucleus tractus solitariiare responsible for the blunted response to hypoxia. Here, we use our model to explore this hypothesis by altering the properties of the gain function representing oxygen sensing inputs to the CPG. We then vary other parameters in the model and show that oxygen carrying capacity is the most salient factor for producing silent hypoxemia. We call for clinicians to measure hematocrit as a clinical index of altered physiology in response to COVID-19 infection.
Fast Viral Dynamics Revealed by Microsecond Time-Resolved Cryo-EM
Authors: Harder Oliver F. , Barrass Sarah V. , Drabbels Marcel , Lorenz Ulrich J. 
Published: April 2023

AbstractObserving proteins as they perform their tasks has largely remained elusive, which has left our understanding of protein function fundamentally incomplete. To enable such observations, we have recently proposed a novel technique that improves the time resolution of cryo-electron microscopy (cryo EM) to microseconds. Here, we demonstrate that microsecond time-resolved cryo-EM enables observations of fast protein dynamics. We use our approach to elucidate the mechanics of the capsid of cowpea chlorotic mottle virus (CCMV), whose large-amplitude motions play a crucial role in the viral life cycle. We observe that a pH jump causes the extended configuration of the capsid to contract on the microsecond timescale. While this is a concerted process, the motions of the capsid proteins involve different timescales, leading to a curved reaction path.
Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization
Authors: Albrecht Steffen , Vandevelde Jens R. , Vecchi Edoardo , Berra Gabriele , Bassetti Davide , Stüttgen Maik C. , Luhmann Heiko J. , Horenko Illia 
Published: April 2023

AbstractWith the help of high-performance computing, we benchmarked a selection of machine learning classification algorithms on the tasks of whisker stimulus detection, stimulus classification and behavior prediction based on electrophysiological recordings of layer-resolved local field potentials from the barrel cortex of awake mice. Machine learning models capable of accurately analyzing and interpreting the neuronal activity of awake animals during a behavioral experiment are promising for neural prostheses aimed at restoring a certain functionality of the brain for patients suffering from a severe brain injury. The liquid state machine, a highly efficient spiking neural network classifier that was designed for implementation on neuromorphic hardware, achieved the same level of accuracy compared to the other classifiers included in our benchmark study. Based on application scenarios related to the barrel cortex and relevant for neuroprosthetics, we show that the liquid state machine is able to find patterns in the recordings that are not only highly predictive but, more importantly, generalizable to data from individuals not used in the model training process. The generalizability of such models makes it possible to train a model on data obtained from one or more individuals without any brain lesion and transfer this model to a prosthesis required by the patient.Author SummaryA neural prosthesis is a computationally driven device that restores the functionality of a damaged brain region for locked-in patients suffering from the aftereffects of a brain injury or severe stroke. As such devices are chronically implanted, they rely on small, low-powered microchips with limited computational resources. Based on recordings describing the neural activity of awake mice, we show that spiking neural networks, which are especially designed for microchips, are able to provide accurate classification models in application scenarios relevant in neuroprosthetics. Furthermore, models were generalizable across mice, corroborating that it will be possible to train a model on recordings from healthy individuals and transfer it to the patient’s prosthesis.
Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses
Authors: Rahman Nadim , O’Cathail Colman , Zyoud Ahmad , Sokolov Alexey , Munnink Bas Oude , Grüning Björn , Cummins Carla , Amid Clara , Nieuwenhuijse David , Visontai Dávid , Yuan David Yu , Gupta Dipayan , Prasad Divyae , Gulyás Gábor Máté , Rinck Gabriele , McKinnon Jasmine , Rajan Jeena , Knaggs Jeff , Skiby Jeffrey Edward , Stéger József , Szarvas Judit , Gueye Khadim , Papp Krisztián , Hoek Maarten , Kumar Manish , Ventouratou Marianna , Bouquieaux Marie-Catherine , Koliba Martin , Mansurova Milena , Haseeb Muhammad , Worp Nathalie , Harrison Peter W. , Leinonen Rasko , Thorne Ross , Selvakumar Sandeep , Hunt Sarah , Venkataraman Sundar , Jayathilaka Suran , Cezard Timothée , Maier Wolfgang , Waheed Zahra , Iqbal Zamin , Aarestrup Frank Møller , Csabai Istvan , Koopmans Marion , Burdett Tony , Cochrane Guy 
Published: April 2023

AbstractThe COVID-19 pandemic has seen large-scale pathogen genomic sequencing efforts, becoming part of the toolbox for surveillance and epidemic research. This resulted in an unprecedented level of data sharing to open repositories, which has actively supported the identification of SARS-CoV-2 structure, molecular interactions, mutations and variants, and facilitated vaccine development and drug reuse studies and design. The European COVID-19 Data Platform was launched to support this data sharing, and has resulted in the deposition of several million SARS-CoV-2 raw reads. In this paper we describe (1) open data sharing, (2) tools for submission, analysis, visualisation and data claiming (e.g. ORCiD), (3) the systematic analysis of these datasets, at scale via the SARS-CoV-2 Data Hubs as well as (4) lessons learned. As a component of the Platform, the SARS-CoV-2 Data Hubs enabled the extension and set up of infrastructure that we intend to use more widely in the future for pathogen surveillance and pandemic preparedness.
Ena/VASP proteins mediate endothelial cell repulsion from ephrin ligands
Authors: Zink Joana , Frömel Timo , Wittig Ilka , Fleming Ingrid , Benz Peter M. 
Published: April 2023

AbstractThe interaction of Eph receptor tyrosine kinases with their transmembrane ligands; the ephrins, is important for the regulation of cell-cell communication. Ephrin-Eph signaling is probably best known for the discrimination of arterial and venous territories by repulsion of venous endothelial cells away from those with an arterial fate. Ultimately, cell repulsion is mediated by initiating the collapse of the actin cytoskeleton in membrane protrusions. Here, we investigated the role of the Ena/VASP family of actin binding proteins in endothelial cell repulsion initiated by ephrin ligands. Human endothelial cells dynamically extended sheet-like lamellipodia over ephrin-B2 coated surfaces. While lamellipodia of control siRNA transfected cells rapidly collapsed, resulting in a pronounced cell repulsion from the ephrin-B2 surfaces, the knockdown of Ena/VASP proteins impaired the cytoskeletal collapse of membrane protrusions and the cells no longer avoided the repulsive surfaces. Mechanistically, ephrin-B2 stimulation elicited the EphB-mediated tyrosine phosphorylation of VASP, which abrogated its interaction with the focal adhesion protein Zyxin. Nck2 was identified as a novel VASP binding protein, which only interacted with the tyrosine phosphorylated VASP protein. Nck links Eph-receptors to the actin cytoskeleton. Therefore, we hypothesize that Nck-Ena/VASP complex formation is required for actin reorganization and/or Eph receptor internalization downstream of ephrin-Eph interaction in endothelial cells, with implications for endothelial navigation and pathfinding.
Knowledge sharing barriers and knowledge sharing facilitators in innovation
Authors: Salehi Mahdi , Sadeq Alanbari Sami Abdulridha 
Published: April 2023

PurposeThe present study aims to assess the effect of barriers and knowledge sharing facilitators on organisational innovation in Iraq. Fundamentally, this paper seeks to answer “whether knowledge sharing can improve organisational innovation in firms listed on the Iraq Stock Exchange”.Design/methodology/approachFor the study, the research method is practical, in the form of an objective and descriptive survey. The study sample includes all financial managers of manufacturing companies listed on the Iraq Stock Exchange. The sampling method of the present study is based on Cochran comprising of 467 participants; a total number of 211 questionnaires were completed as the study's sample. This paper uses PLS tests to assess the effect of independent variables on dependent variables.FindingsResults show that knowledge sharing barriers have no impact on the organisational innovation of firms listed on the Iraq Stock Exchange, but that knowledge sharing facilitators can enhance the organisational innovation of these firms.Originality/valueThis paper is the first study on the effect of barriers and knowledge sharing facilitators on organisational innovation of firms listed on the Iraq Stock Exchange, which is an emergent country with specific conditions (lack of specialised workforce and modern systematic infrastructure), therefore the results will provide helpful information that will contribute to the development of science and knowledge.
How shopping habits change with artificial intelligence: smart speakers' usage intention
Authors: Aiolfi Simone 
Published: April 2023

PurposeThe research aims to understand how smart speakers are perceived by their actual and potential users, their attitude towards smart speakers and consequently their intention to use them.Design/methodology/approachThe authors apply a structural equation modelling (SEM) approach to test the research hypotheses through data coming from a structured questionnaire.FindingsThe results show that the higher the importance attributed to usefulness and ease of use, the higher the positive attitude that in turn positively affects the intention to use smart speakers. A significant relationship also emerged between task technology fit and attitude towards smart speakers, as well as between perceived enjoyment and attitude towards smart speakers. Perceived privacy risk, innovativeness and social attraction have been found to not significantly impact attitudes towards smart speakers.Originality/valueAlthough several academic studies have focused on various aspects of smart technologies, only a few studies discuss the factors that push consumers to use smart speakers for activities related to commercial transactions. Therefore, looking at the rapid rise of smart speakers for daily tasks and the gradual acceptance of voice interaction with digital tools, the authors proposed a study about Italian users' intention to use smart speakers. Specifically, to fill the gap in the existing literature, the authors applied a SEM approach to identify utilitarian and hedonic benefits that motivate the use of these devices.
Assessing the kid's behaviour with factors of social media advertising: DEMATEL application
Authors: Bandil Deepika , Agrawal Vivek , Mohanty R.P. 
Published: April 2023

PurposeKids get exposed to advertising on social media platforms when they visit them to perform various goals. The purpose of this study is to find out the factors which affect kids' behaviour when the kids encounter advertising on social media and also to establish causal relationships amongst the factors of social media advertising (SMA).Design/methodology/approachA total of 11 factors of SMA have been identified with the help of experts and the causal relationships amongst the SMA factors have been constructed by the implementation of decision-making trail and laboratory evaluation (DEMATEL). Based on the established relationships, a causal diagram has been also developed to understand the structural nature of interdependence amongst the factors.FindingsDEMATEL technique is based on logical steps, which have assisted in categorising the identified factors into two groups: cause group and effect group. Cause group factors are the reasons for the effect group factors to occur. Customisation, entertainment, information and interactivity have been observed as cause factors whereas, relevance, engagement with SMA, purchase intention, product involvement, advertising value, attitude towards SMA and irritation have been observed as effect factors. Product involvement is found to have the highest level of interaction with all other factors. Information and interactivity are observed to influence all other factors.Research limitations/implicationsKids possess a limited understanding of the selling intent of advertisers which makes kids vulnerable to advertising. This study supports that the content of the advertisement should be kept in accordance with the need of kids and also suggests that marketers should emphasise cause group factors which derive subsequent consequences on effect group factors. The foremost limitation of this study lies in the process of identifying the factors through expert opinions. The sets of contextual relationships may vary when different experts are considered.Originality/valueThis study strives to identify the factors which affect kids' understanding of SMA and also establishes causal relationships amongst them. This kind of study is unique in state of the art and to the authors' knowledge no significant research has been conducted in India which involves establishment of inter-relationships amongst SMA factors that affect kids' behaviour.
Ruin heritage and its reuse: the case of ruin bars in Budapest
Authors: Mérai Dóra , Kulikov Volodymyr 
Published: April 2023

PurposeThe paper discusses ethical issues related to the adaptive reuse of ruin heritage on the example of the so-called ruin bars in Budapest's District VII. It explores how heritage discourse can contribute to the sustainable development of urban neighborhoods. The authors address the question by focusing on how a processual approach can be instrumental in identifying responsible and socially sustainable ways to reuse dilapidated heritage in a residential area.Design/methodology/approachThe problem is analyzed through a case study based on field observation, participant observation, stakeholder interviews, policy analysis and media and social media content analysis.FindingsThe authors argue that ethical reuse of ruin heritage must take into consideration the values and interests of multiple stakeholders and the broadest range of consequences at the level of neighborhood and city. An integrated heritage and planning policy should consider and involve as active participants all the heritage communities concerned. Importantly, these groups, comprising both new and longtime residents, must include the vulnerable and marginalized.Practical implicationsThe findings can be used by heritage managers for identifying and addressing ethical issues in their adaptive heritage reuse practices and by policymakers for integrating heritage management in urban development and making cities more inclusive (SDG #11).Originality/valueThe paper explores how ethical it is for business enterprises to build on the ruin esthetics in a residential district and what the ethical implications of this reuse process are for various stakeholders.
Revisiting the trade openness–unemployment nexus: an application of the novel JKS panel causality test with static and dynamic panel models
Authors: Bhat Mudaser Ahad , Beg Mirza Nazrana 
Published: April 2023

PurposeThis paper documents a robust empirical regularity: higher trade openness is associated with a lower unemployment rate. This paper also examines whether or not the effects of trade liberalisation depend on countries' income levels. Further, the dynamic causation between trade openness and unemployment is also examined.Design/methodology/approachIn order to obtain insight into the openness–unemployment nexus, following empirical methods were utilised - static panel models, dynamic panel models and a novel panel Granger causality approach proposed by Juodis et al. (2021).FindingsResults suggest that openness negatively affects unemployment; the extent to which trade liberalisation affects unemployment depends on the income level of each country. The Juodis, Karavias, and Sarafidis (JKS) test confirmed that the past values of trade openness, inflation, foreign direct investment and gross domestic product per capita contain information that helps to predict unemployment in a more robust manner. To simply put, opening upto trade may eventually become a requirement for creating more job opportunities, but this alone may not be enough. The extent to which nations benefit from trade liberalisation is largely dependent on the overall economic conditions and their capability to move up the income scale.Originality/valueA major difference between this study and those performed previously is that this study does not only examine the impact of trade openness on unemployment, but also investigates whether the unemployment effect of liberalisation is affected by countries' income levels – an issue that has received little attention in the past. Additionally, the unique panel non-causality approach put forth by Juodis et al. (2021) is used in the first instance to look into the causal link between trade openness and unemployment. This method has advantages in that the method enables capturing Granger-causality in homogeneous or heterogeneous panels amongst multiple variables.
Exploring the educational needs and challenges faced by undocumented sub-Saharan students in Moroccan public schools
Authors: Ismaili Yassine 
Published: April 2023

Purpose
The purpose of this study is to investigate the educational experiences of sub-Saharan African undocumented students in Moroccan public schools, as well as the perceptions of instructors regarding the challenges and needs of sub-Saharan students in the capital city of Morocco, Rabat.

Design/methodology/approach
A qualitative interpretative case study approach was implemented to investigate this topic. This study involved seven respondents who had experience working with sub-Saharan students in their classrooms.

Findings
The findings of this study indicate that Moroccan public schools provide sub-Saharan African students with free education and a welcoming and secure learning environment. However, inadequate educational conditions, such as deficiencies in the designed programs, possibly limited competence of teachers, lack of professional instructors capable of teaching migrants and insufficient resources, can all hinder the learning process and educational integration of sub-Saharan African students.

Originality/value
This study contributes to the limited body of research on intercultural education in the Northern African region. The educational challenges and needs of hundreds or thousands of sub-Saharan African immigrants settling in Morocco are often overlooked or not given adequate consideration in scholarly works.
Role of service quality factors in word of mouth through student satisfaction
Authors: Rasheed Rizwana , Rashid Aamir 
Published: April 2023

PurposeService quality in academics is imperatively crucial. Therefore, the purpose of the current research is to examine the effect of academic service quality factors in higher education institutions which mainly focuses on students' satisfaction and the extent of recommending the same institution to other students.Design/methodology/approachThis research evaluated the effect of service quality on student satisfaction and word of mouth (WOM). Data were collected from 200 respondents from various business schools, and hypotheses were tested through a quantitative method using partial least square-structural equation modelling (PLS-SEM) with the help of SmartPLS to validate the measurement model.FindingsThe findings of the current research revealed that all three components of service quality including information quality, teaching quality and service efficiency have a significant impact on student satisfaction. Results also indicated that student satisfaction is significantly linked with WOM which means satisfied students spread positive WOM and recommend the same institution to other students.Originality/valueThis research provides an extension towards the body of knowledge on the issue, which will be used in future detailed and critical examinations. The focus of the research was on SERVQUAL and how, when and why business schools may spot possible applications that can have an influence on their admissions by WOM.
Much ado about ChatGPT: libraries and librarians perspectives
Authors: Oyelude Adetoun A. 
Published: April 2023

Purpose
The study aims to find out the uses of ChatGPT for research work and the demerits as well. The application of ChatGTP for aiding scholarly writing was also explored.

Design/methodology/approach
The paper uses literature search from Blogs, Wikis and the internet to find out the trends in libraries using ChatGTP. The literature search and review are presented thematically.

Findings
It was found that just as ChatGPT has positive uses, the demerits may outweigh because it does not check sources of the information. Its advantage as a preparatory writing tool is recognized by libraries and librarians.

Originality/value
To the best of the authors’ knowledge, this review may be one of the few currently on the trends in ChatGPT from blogs, wikis and the cybersphere.