bluuebunny/crossref_metadata_2025_split huggingface dataset:
Meta-analytic connectivity modelling of deception-related brain regions
Authors: Meier Sarah K. , Ray Kimberly L. , Mastan Juliana C. , Salvage Savannah R. , Robin Donald A. 
Published: March 2021

AbstractBrain-based deception research began only two decades ago and has since included a wide variety of contexts and response modalities for deception paradigms. Investigations of this sort serve to better our neuroscientific and legal knowledge of the ways in which individuals deceive others. To this end, we conducted activation likelihood estimation (ALE) and meta-analytic connectivity modelling (MACM) using BrainMap software to examine 45 task-based fMRI brain activation studies on deception. An activation likelihood estimation comparing activations during deceptive versus honest behavior revealed 7 significant peak activation clusters (bilateral insula, left superior frontal gyrus, bilateral supramarginal gyrus, and bilateral medial frontal gyrus). Meta-analytic connectivity modelling revealed an interconnected network amongst the 7 regions comprising both unidirectional and bidirectional connections. Together with subsequent behavioral and paradigm decoding, these findings implicate the supramarginal gyrus as a key component for the sociocognitive process of deception.
Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10Hz rTMS
Authors: Belov Vladimir , Kozyrev Vladislav , Singh Aditya , Sacchet Matthew D. , Goya-Maldonado Roberto 
Published: March 2021

AbstractRepetitive transcranial magnetic stimulation (rTMS) has gained considerable importance in the treatment of neuropsychiatric disorders, including major depression. However, it is not yet understood how rTMS alters brain’s functional connectivity. Here we report changes in functional connectivity captured by resting state functional magnetic resonance imaging (rsfMRI) within the first hour after 10Hz rTMS. We apply subject-specific parcellation schemes to detect changes (1) in network nodes, where the strongest functional connectivity of regions is observed, and (2) in network boundaries, where functional transitions between regions occur. We use support vector machines (SVM), a widely used machine learning algorithm that is robust and effective for the classification and characterization of time intervals of changes in node and boundary maps. Our results reveal that changes in connectivity at the boundaries are slower and more complex than in those observed in the nodes, but of similar magnitude according to accuracy confidence intervals. These results were strongest in the posterior cingulate cortex and precuneus. As network boundaries are indeed under-investigated in comparison to nodes in connectomics research, our results highlight their contribution to functional adjustments to rTMS.
Proteomics-based determination of double stranded RNA interactome reveals known and new factors involved in Sindbis virus infection
Authors: Girardi Erika , Messmer Mélanie , Lopez Paula , Fender Aurélie , Chicher Johana , Chane-Woon-Ming Béatrice , Hammann Philippe , Pfeffer Sébastien 
Published: March 2021

AbstractViruses are obligate intracellular parasites, which depend on the host cellular machineries to replicate their genome and complete their infectious cycle. Long double stranded (ds)RNA is a common viral by-product originating during RNA virus replication and is universally sensed as a danger signal to trigger the antiviral response. As a result, viruses hide dsRNA intermediates into viral replication factories and have evolved strategies to hijack cellular proteins for their benefit. The characterization of the host factors associated with viral dsRNA and involved in viral replication remains a major challenge to develop new antiviral drugs against RNA viruses. Here, we performed anti-dsRNA immunoprecipitation followed by mass spectrometry analysis to fully characterize the dsRNA interactome in Sindbis virus (SINV) infected human cells. Among the identified proteins, we characterized SFPQ (Splicing factor, proline-glutamine rich) as a new dsRNA-associated proviral factor upon SINV infection. We showed that SFPQ depletion reduces SINV infection in human HCT116 and SK-N-BE(2) cells, suggesting that SFPQ enhances viral production. We demonstrated that the cytoplasmic fraction of SFPQ partially colocalizes with dsRNA upon SINV infection. In agreement, we proved by RNA-IP that SFPQ can bind dsRNA and viral RNA. Furthermore, we showed that overexpression of a wild type, but not an RNA binding mutant SFPQ, increased viral infection, suggesting that RNA binding is essential for its positive effect on the virus. Overall, this study provides the community with a compendium of dsRNA-associated factors during viral infection and identifies SFPQ as a new proviral dsRNA binding protein.
All-polymeric transient neural probe for prolonged in-vivo electrophysiological recordings
Authors: Ferlauto Laura , Vagni Paola , Zollinger Elodie Geneviève , Fanelli Adele , Monsorno Katia , Paolicelli Rosa Chiara , Ghezzi Diego 
Published: March 2021

AbstractTransient bioelectronics has grown fast, opening possibilities never thought before. In medicine, transient implantable devices are interesting because they could eliminate the risks related to surgical retrieval and reduce the chronic foreign body reaction. However, despite recent progress in this area, the short functional lifetime of devices due to short-lived transient metals, which is typically a few days or weeks, still limits the potential of transient medical devices. We report that a switch from transient metals to an entirely polymer-based approach allows for a slower degradation process and a longer lifetime of the transient probe, thus opening new possibilities for transient medical devices. As a proof-of-concept, we fabricated all-polymeric transient neural probes that can monitor brain activity in mice for a few months rather than a few days or weeks. Also, we extensively evaluated the foreign body reaction around the implant during the probe’s degradation. This kind of devices might pave the way for several applications in neuroprosthetics.
Design for maintainability tool for nano-façade coating applications on high-rise facades in the tropics
Authors: Conejos Sheila , Ubando Aristotle , Chew Michael Yit Lin 
Published: March 2021

PurposeThe self-cleaning properties of nanostructured titanium dioxide facade coatings are useful in Singapore's tropical climate. However, its potential maintenance issues need to be determined right at the design stage. The purpose of this paper is to highlight the development of the design for maintainability tool which is a multicriteria design decision score sheet that evaluates the maintainability potential of nano-facade coating applications on high-rise façades with concrete and stonemasonry finishes and curtain walls.Design/methodology/approachQuantitative methods (expert and practitioner surveys) are conducted in this research study. Analytic hierarchy process (AHP) and sensitivity analysis were used to develop a robust Design for Maintainability tool.FindingsSafety measures indicator received the highest weighted score by experts, while the maximizing performance, minimizing risk, minimizing negative environmental impact and minimizing consumption of matter and energy were the top ranking main criteria by both experts and practitioners. The top ranked design for maintainability sub-criteria identified by practitioners and experts were risk management, maintenance considerations, climatic conditions, safety measures, lifecycle cost and maintenance access, sun's path, rainfall intensity, biological growth measures and building age profile.Originality/valueMost researches on the maintainability of nano-façade coatings uses experimentation to test the durability of nano-façade coatings, while this study focuses on design based empirical data such as establishing and ranking the list of design for maintainability criteria or indicators to minimize future defects and maintenance issues. The design for maintainability tool contributes to the maintainability of nano-façade coatings leading to maximizing its performance while minimizing cost, risks, resource consumption and negative environmental impact.
Facilitating learning by the visually impaired: development and usability evaluation of a specially designed ubiquitous library
Authors: Tu Yun-Fang , Hwang Gwo-Jen , Lai Chiu-Lin 
Published: March 2021

Purpose
This study aims to develop a ubiquitous library for the visually impaired (ULVI) application (app) and to explore its usability by collecting feedback from visually impaired participants to analyse the problems they might encounter. Their suggestions for improving the app further are also reported.

Design/methodology/approach
A total of ten participants were recruited in the study. Ten tasks were assigned for the participants to complete using the ULVI app. The system usability scale was adopted to collect feedback on the app, and interviews were conducted to understand the participants’ usage behaviours and perceptions of the app.

Findings
The findings indicated that the participants provided positive evaluation of the usability of the app and addressed the functions that might need improvement. Above all, this app was regarded as having great potential. Suggestions and improvements are proposed based on the participants’ feedback.

Originality/value
In terms of the studies relevant to libraries and the visually impaired, few have evaluated the usability of the ULVI app from the perspectives of the visually impaired users. The ULVI app provides resources for the visually impaired and serves as the foundation for developing a more effective ULVI app.
Psychological capital and entrepreneurship: gender differences
Authors: Villanueva-Flores Mercedes , Diaz-Fernandez Mirta , Hernandez-Roque Dara , van Engen Marloes 
Published: March 2021

PurposeThis study aims to examine whether the psychological capital of male and female university students explains the intention to undertake entrepreneurism. Following Ajzen’s theory of planned behaviour, the aim was to study whether perceived behavioural control and subjective norms influence entrepreneurial intention and if subjective norms moderate established relationships, in both genders.Design/methodology/approachStructural equation modelling and analysis of variance was applied to test the hypotheses amongst students at a Spanish university.FindingsThe results showed that gender differences in psychological capital, in perceived behavioural control and in subjective norms existed between the male and female population, which explain gender differences in entrepreneurial intention. Similarly, subjective norms acted as a moderator in the relationship between psychological capital, the perceived behavioural control and entrepreneurial intention, with the moderating impact being higher on the female population.Practical implicationsThe results obtained in this paper indicate that developing perceived behavioural control and the psychological capital of university students in training programmes of male and female students helps to promote their entrepreneurial intention. Similarly, the results suggest that building a support network, for instance of family and groups of friends is key to fostering entrepreneurial intention, particularly for women.Originality/valueEntrepreneurship is key to the successful employability of current and future generations in the labour market. This study examined key antecedents of student’s entrepreneurial intention and how these are gendered. For both men and women (investing in) psychological capital is important. Informal social support was shown to play a key role in women’s entrepreneurial intention.
Grey clustering of the variations in the back-to-front airplane boarding method considering COVID-19 flying restrictions
Authors: Delcea Camelia , Cotfas Liviu-Adrian , Milne R. John , Xie Naiming , Mierzwiak Rafał 
Published: March 2021

PurposeThe airline industry has been significantly hit by the occurrence of the new coronavirus SARS-CoV-2, facing one of its worst crises in history. In this context, the present paper analyses one of the well-known boarding methods used in practice by the airlines before and during the coronavirus outbreak, namely back-to-front and suggests which variations of this method to use when three passenger boarding groups are considered and a jet bridge connects the airport terminal with the airplane.Design/methodology/approachBased on the importance accorded by the airlines to operational performance, health risks, and passengers' comfort, the variations in three passenger groups back-to-front boarding are divided into three clusters using the grey clustering approach offered by the grey systems theory.FindingsHaving the clusters based on the selected metrics and considering the social distance among the passengers, airlines can better understand how the variations in back-to-front perform in the new conditions imposed by the novel coronavirus and choose the boarding approach that better fits its policy and goals.Originality/valueThe paper combines the advantages offered by grey clustering and agent-based modelling for offering to determine which are the best configurations that offer a reduced boarding time, while accounting for reduced passengers' health risk, measured through three indicators: aisle risk, seat risk and type-3 seat interferences and for an increased comfort for the passengers manifested through a continuous walking flow while boarding.
A measurement framework of crowd intelligence
Authors: Feng Yiqiang , Qiu Leiju , Sun Baowen 
Published: March 2021

Purpose
The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the level of intelligence is not sufficient, due to many limitations, such as the unclear definition of intelligence and the inconformity of human intelligence quotient (IQ) test and artificial intelligence assessment methods. This paper aims to propose a new crowd intelligence measurement framework from the harmony of adaption and practice to measure intelligence in crowd network.

Design/methodology/approach
The authors draw on the ideas of traditional Confucianism, which sees intelligence from the dimensions of IQ and effectiveness. First, they clarify the related concepts of intelligence and give a new definition of crowd intelligence in the form of a set. Second, they propose four stages of the evolution of intelligence from low to high, and sort out the dilemma of intelligence measurement at the present stage. Third, they propose a framework for measuring crowd intelligence based on two dimensions.

Findings
The generalized IQ operator model is optimized, and a new IQ algorithm is proposed. Individuals with different IQs can have different relationships, such as cooperative, competitive, antagonistic and so on. The authors point out four representative forms of intelligence as well as its evolution stages.

Research limitations/implications
The authors, will use more rigorous mathematical symbols to represent the logical relationships between different individuals, and consider applying the measurement framework to a real-life situation to enrich the research on crowd intelligence in the further study.

Originality/value
Intelligence measurement is one of foundations of crowd science. This research lays the foundation for studying the interaction among human, machine and things from the perspective of crowd intelligence, which owns significant scientific value.
Factors influencing property developers’ minimal participation in student housing provision in Gaborone
Authors: Kampamba Johnson , Kachepa Simon , Seketeme Kefilwe Omphemetse 
Published: March 2021

Purpose
Student housing (SH) is very critical in the learning process of students, as it can affect their academic performance. It has been noted that tertiary institutions in Botswana are failing to provide adequate accommodation to cater the growing student population. Despite the shortage of housing, private property developers are not keen on participating in SH provision. The purpose of this study is to therefore assess the factors influencing minimum participation of property developers in SH provision in Gaborone, Botswana.

Design/methodology/approach
Data for this study was collected from both primary and secondary sources. Primary data was collected from property developers in Gaborone through the use of a questionnaire. Secondary data on the other hand was collected from books, reports and journal articles. Data was analysed by using Statistical Package for Social Sciences and Microsoft Excel.

Findings
The findings from the study revealed that the factors that affect property developers participation in SH provision are low income derived from SH, limitations in multi sectoral approach, poor site location, lack of partnerships between developers and universities, high maintenance and renovation costs and lack of policies and legislation regarding SH. The factors that highly had an impact on property developers are financial factors, followed by institutional factors, demographic factors, physical factors and, finally, human factors. A private–public partnerships model aimed at enhancing developers’ participation in SH provision was developed in the study.

Research limitations/implications
The small sample size used has had a negative impact on the results, as no factors were identified as limiting property developers’ participation in SH.

Originality/value
This paper extends the knowledge on factors influencing property developers’ minimal participation in SH provision by coming up with a model that could enhance their participation in SH provision.
Emotional exhaustion as a mediator among workplace loneliness, work alienation and turnover intention
Authors: ÖZTÜRK ÇİFTCİ Didem 
Published: March 2021

PurposeThe purpose of this study is to determine the effect of loneliness and alienation in the workplace on the intention of leaving employment and whether emotional exhaustion has a mediating role in this effect.Design/methodology/approachThe hypotheses generated within the framework of the study model were evaluated by using the data set obtained from 402 survey participants working at nine shopping malls in the Central and Eastern Black Sea regions of Turkey and statistical analysis programs. In this context, the confirmatory factor analysis (CFA) was used to determine the validity of the scale and the structural equation modeling (SEM) was used to test the research hypotheses.FindingsThe study reveals that loneliness and alienation in the workplace have an effect on the intention of leaving employment and that this effect is fully mediated by emotional exhaustion. Whether this full mediating role determined by the SEM is meaningful or not was evaluated by Bootstrap analysis and the results revealed that the effect is meaningful.Practical implicationsDeveloping effective communication channels that will prevent the employee from feeling isolated at work and eliminating the pressure and inadequate physical working conditions created by unrealistic sales targets are recommended. In addition, it is thought that if employees are included in decision-making processes and have sufficient autonomy related to the job, work alienation can be prevented.Originality/valueThis research is important in terms of evaluating shopping centers, which are accepted as the symbol of consumption today, not only with their economic aspects but also with their employees. In this context, the research has revealed that shopping mall employees want to leave their jobs due to emotional exhaustion caused by loneliness and alienation at work.
The impact of financial inclusion on economic development: the mediating roles of gross savings, social empowerment and economic empowerment
Authors: Chakraborty Rajib , Abraham Rebecca 
Published: March 2021

PurposeThe purpose of this paper is to measure the impact of financial inclusion on economic development.Design/methodology/approachStudy 1 used World Bank Data to develop financial inclusion percentages of ownership of checking accounts, savings accounts, debit cards and loans for 179 countries among the poorest 40% of the population, from 2011–2017. Regressions established the financial inclusion, gross savings and GDP per capita growth linkage. Study 2 created and validated scales to measure social empowerment, economic empowerment and economic development, among inhabitants of Bangladesh villages. Structural equation modeling measured the mediation by social empowerment and economic empowerment of the financial inclusion and economic development linkage.FindingsTotal financial inclusion was significantly explained by gross savings, which was significantly explained by GDP per capita growth. Ownership of a checking account significantly increased gross savings, while ownership of a savings account significantly increased GDP per capita growth. Ownership of a checking account differentiated countries with the highest 5% of gross savings, while ownership of a debit card significantly differentiated countries with the GDP per capita growth. Social empowerment and economic empowerment significantly mediated the financial inclusion and economic development relationship.Originality/valueThe study is unique in examining financial inclusion from a multi country, macroeconomic perspective combined with measurement of its theoretical underpinnings through a primary data-based sample extracted from respondents in Bangladesh, a lower middle-income country in Southeast Asia.
“I am going to educate the industry”: how an advocate became a key competitive resource for the adaptive apparel market
Authors: McBee-Black Kerri , Ha-Brookshire Jung E. 
Published: March 2021

PurposeThe goal of this study was to explore the development of the first-of-its-kind mainstream adaptive apparel line for children through the collaboration of an adaptive apparel advocate and an apparel brand.Design/methodology/approachTo achieve this goal, the study used the resource advantage (RA) and first-mover advantage theory to conduct a case study investigating the lived experiences of Mindy Scheier as she created the adaptive apparel movement and collaborated with Tommy Hilfiger® to launch the first-of-its-kind mainstream adaptive apparel line for children.FindingsThe result of the case study revealed two dominant themes: (1) “I am going to educate the entire industry” and (2) “You mean no mainstream brands have done this before?” Using RA theory and first-mover advantage theory, the themes illustrated the advocate's position as a key competitive resource, how she leveraged the key competitive resources with an apparel brand, and subsequently, how the brand, using the advocate as a key competitive resource, established a first-mover advantage in the adaptive apparel market to develop the first-of-its-kind mainstream adaptive apparel line for children in the marketplace.Originality/valueThis study demonstrated how RA theory could be applied to the partnership between an advocate and an apparel firm and how the key resources acquired and utilized by the advocate support a competitive advantage within the adaptive apparel marketplace.