bluuebunny/crossref_metadata_2025_split huggingface dataset:
Susceptibility of midge and mosquito vectors to SARS-CoV-2 by natural route of infection
Authors: Balaraman Velmurugan , Drolet Barbara S. , Gaudreault Natasha N , Wilson William C. , Owens Jeana , Bold Dashzeveg , Swanson Dustin A. , Jasperson Dane C. , Noronha Leela E. , Richt Juergen A. , Mitzel Dana N 
Published: September 2020

AbstractSARS-CoV-2 is a recently emerged, highly contagious virus and the cause of the current pandemic. It is a zoonotic virus, although its animal origin is not clear yet. Person-to-person transmission occurs by inhalation of infected droplets and aerosols, or by direct contact with contaminated fomites. Arthropods transmit numerous viral, parasitic, and bacterial diseases; however, the potential role of arthropods in SARS-CoV-2 transmission is not fully understood. Thus far, a few studies have demonstrated that SARS-CoV-2 replication is not supported in cells from certain insect species nor in certain species of mosquitoes after intrathoracic inoculation. In this study, we expanded the work of SARS-CoV-2 susceptibility to biting insects after ingesting a SARS-CoV-2infected blood meal. Species tested includedCulicoides sonorensisbiting midges, as well asCulex tarsalisandCulex quinquefasciatusmosquitoes, all known biological vectors for numerous RNA viruses. Arthropods were allowed to feed on SARS-CoV-2 spiked blood and at various time points post infection analyzed for the presence of viral RNA and infectious virus. Additionally, cell lines derived fromC. sonorensis(W8a),Ae. aegypti(C6/36),Cx. quinquefasciatus(HSU), andCx. tarsalis(CxTrR2) were tested for SARS-CoV-2 susceptibility. Our results indicate that none of the biting insects, nor the insect cell lines support SARS-CoV-2 replication. We conclude, that biting insect do not pose a risk for transmission of SARS-CoV-2 to humans or animals following a SARS-CoV-2 infected blood meal.
p107 mediated mitochondrial function controls muscle stem cell proliferative fates
Authors: Bhattacharya Debasmita , Oresajo Oreoluwa , Scimè Anthony 
Published: September 2020

AbstractMuscle wasting diseases and aging are associated with impaired myogenic stem cell selfrenewal and a diminished number of their proliferating progenitors (MPs). Importantly, distinct metabolic states govern MP proliferation and differentiation. Central to this is the regulation between glycolysis and oxidative phosphorylation (Oxphos). However, the mechanisms that connect these energy provisioning centers to control cell behaviour remain obscure. Herein, our results reveal a mechanism by which mitochondrial-localized transcriptional co-repressor p107 governs MP proliferation. We found p107 directly interacts at the mitochondrial DNA promoter, repressing mitochondrial-encoded genes. This reduces mitochondrial ATP generation, by limiting the electron transport chain complex formation. Importantly, the amount of ATP generated by the mitochondrial function of p107 is directly associated to the cell cycle rate. Sirt1, whose activity is dependent on the cytoplasmic by-product of glycolysis, NAD+, directly interacts with p107 impeding its mitochondrial localization and function. The metabolic control of cell cycle, driven by differential p107 mitochondrial function, establishes a new paradigm to manipulate muscle cell proliferative fates that is likely to extend to most other dividing cell types.
Distinct subcellular localization of a Type I CRISPR complex and the Cas3 nuclease in bacteria
Authors: Govindarajan Sutharsan , Borges Adair , Bondy-Denomy Joseph 
Published: September 2020

AbstractCRISPR-Cas systems are prokaryotic adaptive immune systems that have been well characterized biochemically, butin vivospatiotemporal regulation and cell biology remains largely unaddressed. Here, we used fluorescent fusion proteins to study the localization of the Type I-F CRISPR-Cas system native toPseudomonas aeruginosa. When targeted to an integrated prophage, the crRNA-guided (Csy) complex and a majority of Cas3 molecules in the cell are recruited to a single focus. When lacking a target in the cell, however, the Csy complex is broadly nucleoid bound, while Cas3 is diffuse in the cytoplasm. Nucleoid association for the Csy proteins is crRNA-dependent, and inhibited by expression of anti-CRISPR AcrIF2, which blocks PAM binding. The Cas9 nuclease is also nucleoid localized, only when gRNA-bound, which is abolished by PAM mimic, AcrIIA4. Our findings reveal PAM-dependent nucleoid surveillance and spatiotemporal regulation in Type I CRISPR-Cas that separates the nuclease-helicase Cas3 from the crRNA-guided surveillance complex.
Implantable photonic neural probes for light-sheet fluorescence brain imaging
Authors: Sacher Wesley D. , Chen Fu-Der , Moradi-Chameh Homeira , Luo Xianshu , Fomenko Anton , Shah Prajay , Lordello Thomas , Liu Xinyu , Almog Ilan Felts , Straguzzi John N. , Fowler Trevor M. , Jung Youngho , Hu Ting , Jeong Junho , Lozano Andres M. , Lo Patrick Guo-Qiang , Valiante Taufik A. , Moreaux Laurent C. , Poon Joyce K. S. , Roukes Michael L. 
Published: September 2020

ABSTRACTSignificanceLight-sheet fluorescence microscopy is a powerful technique for high-speed volumetric functional imaging. However, in typical light-sheet microscopes, the illumination and collection optics impose significant constraints upon the imaging of non-transparent brain tissues. Here, we demonstrate that these constraints can be surmounted using a new class of implantablephotonic neural probes.AimMass manufacturable, silicon-based light-sheet photonic neural probes can generate planar patterned illumination at arbitrary depths in brain tissues without any additional micro-optic components.ApproachWe develop implantable photonic neural probes that generate light sheets in tissue. The probes were fabricated in a photonics foundry on 200 mm diameter silicon wafers. The light sheets were characterized in fluorescein and in free space. The probe-enabled imaging approach was tested in fixed andin vitromouse brain tissues. Imaging tests were also performed using fluorescent beads suspended in agarose.ResultsThe probes had 5 to 10 addressable sheets and average sheet thicknesses < 16 μm for propagation distances up to 300 μm in free space. Imaging areas were as large as ≈ 240 μm × 490 μm in brain tissue. Image contrast was enhanced relative to epifluorescence microscopy.ConclusionsThe neural probes can lead to new variants of light-sheet fluorescence microscopy for deep brain imaging and experiments in freely-moving animals.
The environmentally friendly role of edible insect restaurants in the tourism industry: applying an extended theory of planned behavior
Authors: Choe Ja Young (Jacey) , Kim Jinkyung Jenny , Hwang Jinsoo 
Published: September 2020

Purpose
This study aims to examine diners’ behavioral intention to visit an edible insect restaurant, which is known to play an important role in sustainability, by integrating the theory of planned behavior and the norm activation theory.

Design/methodology/approach
A total of 439 samples were collected in South Korea. Structural equation modeling was used to test hypotheses.

Findings
The attitudes were influenced by subjective norms. Intentions were affected by the attitudes, the subjective norms and the perceived behavioral control. In addition, the five dimensions of cognitive triggers, which include environmental awareness, ascribed responsibility, biospheric value, environmental concern and perceived effectiveness, positively affected personal norms, and the personal norms positively influenced behavioral intentions.

Practical implications
It is an important practical implication of this study that tourism practitioners were delivered with the knowledge of establishing marketing strategies based on the destination’s green image of insect restaurants.

Originality/value
This study is expected to contribute to the extant knowledge, which will enable an understanding of the sustainability values of edible insect restaurants, and it will guide tourism practitioners to establish effective sustainable practices for the tourism industry.
Farmers' social networks and the diffusion of modern crop varieties in India
Authors: Negi Digvijay Singh , Birthal Pratap , Kumar Anjani , Tripathi Gaurav 
Published: September 2020

PurposeThe main aim of this paper is to assess the relevance of caste-based social networks in the dissemination of technologies and innovations in the Indian agriculture.Design/methodology/approachUsing the unit-level data from a large-scale farm survey, this paper constructs a multidimensional index of social networks encompassing households' castes and information sources within the administrative boundaries of a district and subsequently assesses its association with the adoption of modern seeds of staple food crops.FindingsThere is a strong effect of caste-based networks on the adoption of modern seeds of different crops, but the effect is linked to the stage of technological change, i.e. the network effect is stronger for the crop that has experienced late technological change. Further, the behavior of network members is found to have a bigger impact on the individuals' technology adoption decisions as compared to the characteristics of individuals in the network.Research limitations/implicationsGiven likely, increases in demand for diverse information and limited outreach of public extension systems, the findings suggest that in a socially heterogeneous society the caste-based social networks can serve as an important channel for the dissemination of information and innovations.Originality/valueWhat is unique in this paper is that it constructs a multidimensional index of social networks embedding the farm households' castes and information sources within the administratively defined boundaries of a geographical region.
A perspective on the positioning of Indian business schools post COVID-19 pandemic
Authors: Rana Sudhir , Anand Arpan , Prashar Sanjeev , Haque Moon Moon 
Published: September 2020

PurposeWe respond to calls from business schools (B-schools), apex education bodies, regulators, activist groups and researchers for more rigorous research to understand the future strategies of B-schools in India. We specifically examine the challenges posed by the current COVID-19 pandemic (and possible future similar eventualities) and the current and long-term strategies being planned to combat such crises.Design/methodology/approachTo reveal the real-life scenario, semi-structured interviews were conducted with 22 academic leaders (Deans and Directors) of B-schools in India. These respondents were from both public and private institutions across the country. Open-ended questions were framed for exploration to help the authors understand the way forward in the Indian B-school context.FindingsFindings reveal that B-schools in India are preparing themselves to overcome short-term challenges faced due to COVID-19 as well as transforming themselves through long-term strategies.Originality/valueThe study outlines strategic plans for some imaginative reassessments that B-schools may consider as a reaction to a pandemic-like emergency. The focus is on distinguishing the imperatives, creating a key guide for meeting immediate requirements, allotting assets in a prudent way to update educational course curricula and teaching methods and building the required academic infrastructure. The ability to focus on enduring changes (e.g. creating an e-learning framework and providing a safe and secure learning environment to students as per government mandates) will provide B-schools with a new lease of life in the future.
A fuzzy set analysis of the determinants of intention to adapt and pro-environmental behaviour
Authors: El-Deeb Sara , Correia Maria , Richter Christian 
Published: September 2020

PurposeThe purpose of this paper is to investigate what drives people to show a willingness to mitigate the effects of climate change. To accomplish this goal, this research uses the theory of planned behaviour to examine whether attitude towards climate change, subjective norm and perceived behavioural control are potential determinants of a pro-environmental intention and thus a pro-environmental behaviour.Design/methodology/approachThis explanatory paper applies a Fuzzy Set Qualitative Comparative Analysis to identify the key drivers of pro-environmental intention and behaviour. A non-probability convenience sample of 481 Egyptian respondents was collected.FindingsThis study finds that awareness combined with a willingness to pay to mitigate climate change are key drivers of pro-environmental intention. Moreover, personal responsibility and confidence in the ability to mitigate climate change also trigger climate-friendly intentions. Finally, it is found that societal engagement and willingness to take action increase the propensity to exhibit pro-environmental behaviour.Research limitations/implicationsThe results of our analysis cannot be generalized to the Egyptian population as a whole as our sample only comprises a sample of Egyptian students.Originality/valueThis paper is novel as it is the first that applies Qualitative Comparative Analysis to the Theory of Planned Behaviour. By doing so, the paper sheds light on the understanding of key cognitive, social-psychological and behavioural factors which lead to environmental actions. Hence, it provides policy-makers with a framework to support a more sustainable society.
Do national cultures matter in the containment of COVID-19?
Authors: Cao Cong , Li Ning , Liu Li 
Published: September 2020

PurposeThis paper empirically investigates how cultural variations in individualism and tightness affected the containment of COVID-19 using data from 54 nations during a 30-day period of government intervention.Design/methodology/approachThe authors utilized the hierarchical regression approach to check the effects of three cultural variables – the individualism measure, taken from Hofstede’s six-dimension national culture index, and the measure of cultural tightness, based on the three tightness–looseness indexes calculated by Irem Uz (2015) and their interaction – on the changes in the prevalence rate (ΔPR) and crude mortality rate (ΔCMR) and case fatality rate (CFR) while controlling for the stringency of government responses to COVID-19, median age and population density.FindingsSignificant relationships were found between cultural variables and national performance in slowing the spread of the coronavirus, measured by ΔPR, ΔCMR and CFR. After controlling for the stringency of government responses, median age and population density, the authors found that cultural tightness and individualism as well as their interactions remain to be pivotal. Loose and individualistic cultures led to faster increases in PR and CMR and higher CFR. A four-quadrant conceptual framework is developed to categorize and discuss the national differences.Originality/valueThe paper integrated two constructs – cultural tightness–looseness and individualism–collectivism – to form a theoretical lens to guide the authors’ analyses while using the real-time COVID-19 data as a natural experiment for theorizing and testing. This study’s findings have significant policy implications in government responses, strategic planning, cultural adaptability and policy implementations for the world’s continuous battle against the pandemic.
Construction and empirical research on acceptance model of service robots applied in hotel industry
Authors: Zhong Lina , Zhang Xiaoya , Rong Jia , Chan Hing Kai , Xiao Jinyu , Kong Haoyu 
Published: September 2020

PurposeRobots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using technology to improve the overall quality and comprehensive competitiveness. However, they also cause many problems due to practical limitations. The purpose of this paper is to study customers' recognition and acceptance of hotel service robots to guide the successful promotion of this technology.Design/methodology/approachThis paper proposed a comprehensive model based on the theory of planned behavior, the technology acceptance model and then the perceived value-based acceptance model. Exploratory factor analysis, confirmatory factor analysis, grouped regression analysis and path analysis was adopted to validate the impacts of each variable to obtain the final reliable model using data collected from hotel guests using a self-designed questionnaire.FindingsThe empirical research based on the theoretical model shows that the constructed conceptual model can thoroughly explain the influencing factors of hotel robot acceptance, enrich the acceptance theory and provide academic support for the use and popularization of hotel service robots. Among all variables, attitude, usefulness and perceived value are the factors that have the greatest impact on acceptance. They have significant differences in the effects of adjustment variables such as gender, educational level, whether hotel robots have been used, and whether other robot services have been experienced on different paths in the model.Practical implicationsThis paper explored the customer acceptance of service robots in hotels, helped to understand the process of decision-making on service robot selection and contributed to the theoretical extension of the hospitality industry. The work guides hotel management to promote better-personalized products and services of robot technology in the hospitality industries.Originality/valueThe acceptance study on hotel service robots provides insight into the hotel industry to understand customers' attitudes and acceptance of emerging technology.
Internal and external successions in family firms: a meta-analysis
Authors: Schlömer-Laufen Nadine , Rauch Andreas 
Published: September 2020

PurposeDespite much progress in the field of family business research, there is still no unequivocal quantitative evidence on how many family businesses are generally transferred within the family and how many are sold to nonfamily members. Accordingly, the purpose of our paper is to overcome this data problem and to try to get a better estimate of these rates.Design/methodology/approachTo determine a better estimate of intrafamily successions in Germany, we conducted a meta-analysis of 33 samples from 27 studies covering 75,522 firms facing or having already faced a business transfer.FindingsOur results indicate that 62% of these family firms are (planned to be) transferred to family members. This type of industry strongly determines the mode of succession. However, methodological issues like study quality and sample design also influence estimated succession rates.Practical implicationsPolicymakers need robust statistics so they can base their actions and economic policies on reliable information. However, in the absence of official statistics – as in the case of family firms handing over their company within or outside the family – information is difficult to generate. Our findings provide a generalizable estimate of prevalence rates, providing German policymakers, and those in other countries when applying these methods, with useful information.Originality/valueThis paper suggests that a theory of family firm succession needs to consider more deeply the context in which succession decisions occur. By exploring variables affecting succession rates such as firm size and industry but also methodological issues like sample design and study quality, our analysis also provides a better understanding of central determinants of successions within and outside the family.
Barriers to adoption of blockchain technology in green supply chain management
Authors: Bag Surajit , Viktorovich Dmitriev Aleksandr , Sahu Atul Kumar , Sahu Anoop Kumar 
Published: September 2020

Purpose
The purpose of this study is to identify the barriers to the adoption of blockchain technology in green supply chain management (GSCM) and further analyze the cause and effect relationship to prioritize the barriers for making strategic decisions.

Design/methodology/approach
The study examines 15 potential barriers related to the adoption of blockchain in GSCM which is identified from the literature review and finalized after subsequent discussions with industry professionals. Integrated Fuzzy-Decision-Making Trial and Evaluation Laboratory approach is used to analyze cause and effect relationships and prioritize the barriers. Fuzzy set theory is used to handle the uncertainty and vagueness associated with the personnel biases and data deficiency problems. Three small to medium enterprises’ (SMEs’) are considered for gathering data and further analyzing the crucial barriers that are impeding the adoption of blockchain technology in GSCM.

Findings
The findings reveal that “lack of management vision” and “cultural differences among supply chain partners” are the most influencing barriers, whereas; “collaboration challenges” and “hesitation and workforce obsolescence” are the most influential barriers in the adoption of blockchain in GSCM.

Research limitations/implications
The study is developed based on 15 selected barriers which were further tested using data from three SMEs’ in the emerging economy of India. The adoption of blockchain technology in GSCM is at a nascent stage and more research studies are necessary to extend the knowledge base.

Practical implications
Managers need to eliminate the barriers and extend the blockchain technology application in GSCM. Managers need to develop the mission and vision of the company by doing proper alignment of blockchain technology with GSCM goals. Second, managers need to make strong collaborations and remove the hesitation and workforce obsolescence barrier by providing the right education and pieces of training.

Originality/value
Blockchain technology in GSCM is in a nascent stage. This study extends the knowledge base by identifying and further prioritizing the leading blockchain barriers that need to be overcome for effectively adopting blockchain in GSCM.
Enterprise social media usage and knowledge hiding: a motivation theory perspective
Authors: Ma Liang , Zhang Xin , Ding Xiaoyan 
Published: September 2020

PurposeReducing employees’ knowledge hiding is vital for enterprise managers. The development of enterprise social media brings opportunities for them to manage employees’ knowledge-hiding behaviors. However, whether the use of enterprise social media inhibits or promotes knowledge hiding is still unclear. The purpose of this study is to explore how enterprise social media usage affect employees' knowledge hiding.Design/methodology/approachBased on the intrinsic and extrinsic motivation model, this paper proposes a research model to investigate the relationship between enterprise social media usage and knowledge hiding, using a structural equation modeling analysis of 288 employees’ data.FindingsThe results show that work-related public social media usage has an inhibiting effect on employees’ knowledge hiding, whereas the effect of work-related private social media usage on employees’ knowledge hiding is not significant; socially related public social media and private social media usage has a promoting effect on employees’ knowledge hiding; and job engagement acts in a positive moderating role between socially related private and public social media usage and evasive hiding.Originality/valueFirst, this paper contributes to knowledge-hiding literature by revealing the relationship between enterprise social media usage and knowledge hiding. Second, this study contributes to motivation theory by clarifying how the use of enterprise social media with different motivations affects knowledge hiding. Third, this paper also contributes to knowledge-hiding literature by revealing a boundary condition, namely, job engagement.