bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lionfish (Pterois volitans) can see UV light: UV Vision in an Invasive Aquatic Predator
Authors: Phillips Elizabeth W. , de Wit Karen E. , Kotrschal Alexander 
Published: September 2022

AbstractUV vision is wide-spread across animals. Many coral reef fish species use the reflection of UV light to communicate with conspecifics, as most aquatic predators are UV-blind. This creates a “secret” communication system for prey fish to signal to others while minimizing their risk of predation. Exploitation of this system by a predator that can see UV light would likely help facilitate prey detection and increase predator efficiency. Recently, indirect evidence has emerged that the Indo-Pacific lionfish (Pterois volitans), a highly invasive predator in the Caribbean, might be able to see into the UV spectrum. We propose that UV vision might be an important, and so far overlooked, reason for lionfish’s predatory success. Using an associative learning assay, we investigated lionfish’s ability to discriminate UV from non-UV light and found the first behavioral evidence that lionfish can indeed see UV light. We also measured the UV body reflectance of lionfish and found that lionfish reflect UV light, suggesting that lionfish may communicate with conspecifics via UV vision. Further studies should investigate if the UV vision is more widespread in marine predators than originally thought, as well as continue to investigate the function of UV vision in lionfish and other predators.
Targeting intracellular Neu1 for Coronavirus Infection Treatment
Authors: Yang Darong , Wu Yin , Turan Isaac , Keil Joseph , Li Kui , Chen Michael H , Liu Runhua , Wang Lizhong , Sun Xue-Long , Chen Guo-Yun 
Published: September 2022

SummaryThere are no effective therapies for COVID-19 or antivirals against SARS-CoV-2. Furthermore, current vaccines appear less efficacious for new SARS-CoV-2 variants. Thus, there is an urgent need to better understand the virulence mechanisms of SARS-CoV-2 and the host response to develop therapeutic agents. Here, we show host Neu1 regulates coronavirus replication by controlling sialylation on coronavirus nucleocapsid protein. Coronavirus nucleocapsid proteins in COVID-19 patients and in coronavirus HCoV-OC43-infected cells were heavily sialylated; this sialylation controlled the RNA binding activity and replication of coronavirus. Neu1 overexpression increased HCoV-OC43 replication, whereas Neu1 knockdown reduced HCoV-OC43 replication. Moreover, a newly developed Neu1 inhibitor, Neu5Ac2en-OAcOMe, selectively targeted intracellular sialidase, which dramatically reduced HCoV-OC43 and SARS-CoV-2 replication in vitro and rescued mice from HCoV-OC43 infection-induced death. Our findings suggest that Neu1 inhibitors could be used to limit SARS-CoV-2 replication in patients with COVID-19, making Neu1 a potential therapeutic target for COVID-19 and future coronavirus pandemics.
The crystal structure ofVibrio cholerae(6-4) photolyase reveals interactions with cofactors and a DNA binding region
Authors: Cakilkaya Baris , Kavakli Ibrahim Halil , DeMirci Hasan 
Published: September 2022

AbstractPhotolyases (PLs) reverse UV-induced DNA damage using blue light as an energy source. Of these photolyases, (6-4) PLs repair (6-4)-lesioned photoproducts. We recently identified a gene fromVibrio cholerae (Vc) encoding a (6-4) PL, but structural characterization is needed to elucidate specific interactions with the chromophore cofactors. Here, we determined the crystal structure ofVc(6-4) PL at 2.5 Å resolution. Our high-resolution structure revealed that the two well-known cofactors, flavin adenine dinucleotide (FAD) and the photoantenna 6,7-dimethyl 8-ribityl-lumazin (DMRL), stably interact with an α-helical and an α/β domain, respectively. Additionally, the structure has a third cofactor with distinct electron clouds corresponding to a [4Fe-4S] cluster. Moreover, we identified that Asp106 makes a hydrogen bond with the water and DMRL, which indicates further stabilization of the photoantenna DMRL withinVc(6-4) PL. Further analysis of theVc(6-4) PL structure revealed a possible region responsible for DNA binding. The region located between residues 478-484 may bind the lesioned DNA, with Arg483 potentially forming a salt bridge with DNA to stabilize further the interaction ofVc(6-4) PL with its substrate. Our comparative analysis revealed that the DNA lesion could not bind to theVc(6-4) PL in a similar fashion to theDrosophila melanogaster Dm(6-4) PL without a significant conformational change of the protein. The 23rdhelix of the bacterial (6-4) PLs seems to have remarkable plasticity, and conformational changes facilitate DNA binding. In conclusion, our structure provides further insight into DNA repair by a (6-4) PL containing three cofactors.
Cross-biome microbial networks reveal functional redundancy and suggest genome reduction through functional complementarity
Authors: Puente-Sánchez Fernando , Pascual-García Alberto , Bastolla Ugo , Pedrós-Alió Carlos , Tamames Javier 
Published: September 2022

AbstractMicrobial communities are complex and dynamic entities, and their structure arises from the interplay of a multitude of factors, including the interactions of microorganisms with each other and with the environment. Since each extant community has a unique eco-evolutionary history, it might appear that contingency rather than general rules govern their assembly. In spite of this, there is evidence that some general assembly principles exist, at least to a certain extent. In this work, we sought to identify those principles by performing a cross-study, cross-biome meta-analysis of microbial occurrence data in more than 5,000 samples from ten different environmental groups. We adopted a novel algorithm that allows the same taxa to aggregate with different partners in different habitats, capturing the complexity of interactions inherent to natural microbial communities. We tried to decouple function from phylogeny, the environment, and genome size, in order to provide an unbiased characterization of phylogenetic and functional redundancy in environmental microbial assemblages. We then examined the phylogenetic and functional composition of the resulting inferred communities, and searched for global patterns of assembly both at the community level and in individual metabolic pathways.Our analysis of the resulting microbial assemblages highlighted that environmental communities are more functionally redundant than expected by chance. This effect is greater for communities appearing in more than one environment, suggesting a link between functional redundancy and environmental adaptation. In spite of this, certain pathways are observed in fewer taxa than expected by chance, suggesting the presence of auxotrophy, and presumably cooperation among community members, which is supported by our analysis of amino acid biosynthesis pathways. Furthermore, this hypothetical cooperation may play a role in genome reduction, since we observed a negative relationship between the size of bacterial genomes and the number of taxa of the community they belong to.Overall, our results provide a global characterization of environmental microbial communities, and offer design principles for engineering robust bacterial communities.
Tilt In Place Microscopy (TIPM): a simple, low-cost solution to image neural responses to body rotations
Authors: Hamling Kyla R. , Zhu Yunlu , Auer Franziska , Schoppik David 
Published: September 2022

Animals use information about gravity and other destabilizing forces to balance and navigate through their environment. Measuring how brains respond to these forces requires considerable technical knowledge and/or financial resources. We present a simple alternative: Tilt In Place Microscopy (TIPM). TIPM is a low-cost and non-invasive way to measure neural activity following rapid changes in body orientation. Here we used TIPM to study vestibulospinal neurons in larval zebrafish during and immediately after roll tilts. Vestibulospinal neurons responded with reliable increases in activity that varied as a function of ipsilateral tilt amplitude. TIPM differentiated tonic (i.e. sustained tilt) from phasic responses, revealing coarse topography of stimulus sensitivity in the lateral vestibular nucleus. Neuronal variability across repeated sessions was minor relative to trial-to-trial variability, allowing us to use TIPM for longitudinal studies of the same neurons across two developmental timepoints. There, we observed global increases in response strength, and systematic changes in the neural representation of stimulus direction. Our data extend classical characterization of the body tilt representation by vestibulospinal neurons and establish TIPM’s utility to study the neural basis of balance, especially in developing animals.Significance StatementVestibular sensation influences everything from navigation to interoception. Here we detail a straight-forward, validated and nearly-universal approach to image how the nervous system senses and responds to body tilts. We use our new method to replicate and expand upon past findings of tilt sensing by a conserved population of spinal-projecting vestibular neurons. The simplicity and broad compatibility of our approach will democratize the study of the brain’s response to destabilization, particularly across development.
Broad host tropism of ACE2-using MERS-related coronaviruses and determinants restricting viral recognition
Authors: Ma Chengbao , Liu Chen , Xiong Qing , Gu Mengxue , Shi Lulu , Wang Chunli , Si Junyu , Tong Fei , Liu Peng , Huang Meiling , Yan Huan 
Published: September 2022

SummaryPhylogenetically distant coronaviruses have evolved to use ACE2 as their common receptors, including NL63 and many Severe acute respiratory syndrome (SARS) coronavirus-related viruses. We recently reported two Middle East respiratory syndrome coronavirus (MERS-CoV) closely related bat merbecoviruses, NeoCoV and PDF-2180, use Angiotensin-converting enzyme 2 (ACE2) for entry. However, their host range and cross-species transmissibility remain unknown. Here, we characterized their species-specific receptor preference by testing ACE2 orthologs from 49 bats and 53 non-bat mammals. Both viruses exhibited broad receptor recognition spectra and are unable to use ACE2 orthologs from 24 species, mainly Yinpterochiropteran bats. Comparative analyses of bat ACE2 orthologs underscored four crucial host range determinants, all confirmed by subsequent functional assays in human and bat cells. Among them, residue 305, participating in a critical interaction, plays a crucial role in host tropism determination. NeoCoV-T510F, a mutation that enhances human ACE2 recognition, further expanded the potential host range via tighter interaction with an evolutionary conserved hydrophobic pocket. Our results elucidated the molecular basis for the species-specific ACE2 usage of MERS-related viruses across mammals and shed light on their zoonotic risks.
Towards an emic model of business culture
Authors: Berger Ron , Drori Netanel , Rachamim Matti , Alon Ilan 
Published: September 2022

Purpose
This paper aims to generalize emic studies of culture and thus provide indigenous view nuanced particularly for emerging markets.

Design/methodology/approach
The authors review four local business frameworks and deconstruct each into three different constructs. The authors systematically evaluate culture specific studies, particularities of jaan pehchaan (India), guanxi (China), sviazi (Russia) and wasta (Arab countries).

Findings
Building on social networking theory, the authors synthesize an emic model for four types of large emerging markets cultures – China, Russia, India and Arab countries – and divide them according to their affective, conative and cognitive elements.

Practical implications
By knowing the impact of the constructs and how to leverage it, managers can successfully penetrate and manage these complex markets.

Originality/value
Current models of culture, such as the ones proposed by Hofstede and GLOBE, are etic in their orientation, attempting to find variations in common dimensions across different cultures. Emic approaches to studying culture are more bottom-up and are idiosyncratic to the culture.
Investigating the impact of artificial intelligence on consumer’s purchase intention in e-retailing
Authors: Bhagat Rohit , Chauhan Vinay , Bhagat Pallavi 
Published: September 2022

Purpose
Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors affecting practical implacability of artificial intelligence and its impact on consumers’ online purchase intention.

Design/methodology/approach
This paper has used a technology-based model as the base to explore the different factors affecting consumers’ purchase intention towards e-retailing. This study has formulated a model that demonstrates the integration of artificial intelligence in retailing by the business organizations so as to understand the needs of customers and help them accept technology. This study has further explored faith, subjective norms and consciousness as constructs which enhance the implacability of artificial intelligence.

Findings
This study shows that artificial intelligence positively influences consumers’ buying behaviour. This study through a model also shows that integration of artificial intelligence enhances consumers’ purchase intention.

Research limitations/implications
The study has been focusing on a portion of target population. So there is scope to include the whole set of the population to get closer-to-accurate results.

Practical implications
The study offers useful inputs for academicians as well as marketers for predicting buying behaviour of consumers. Marketing managers can use artificial intelligence–embedded technology to enhance online purchase intention.

Social implications
The study shows that an increase in consciousness towards e-retailing has made consumers keenly analyse and purchase products on the basis of merit and usefulness of the products.

Originality/value
The contribution has been made with the best of knowledge in formulating an integrated artificial intelligence model for consumers’ purchase intention in e-retailing.
Do remittances matter for health outcomes in developing countries? Fresh evidence from a panel vector autoregressive (PVAR) model
Authors: Djeunankan Ronald , Tekam Honoré 
Published: September 2022

PurposeThis study aims to contribute to the growing literature on the effects of remittances and the determinants of health outcomes by analysing for the first time the effect of remittances on health outcomes in developing countries using a panel vector autoregression (PVAR) model.Design/methodology/approachThis study uses panel data from 107 developing countries over the period from 1990 to 2018 to examine the effect of remittances on health outcome in developing countries.FindingsThe main findings from study is that remittances improve health outcomes in developing countries. Another finding of this study is that income, trade, foreign direct investment and financial devlopment improve health outcome.Originality/valueThe contribution of this study is fourfold. Firstly, it adopts the PVAR methodology in a Generalized Method of Moments framework proposed by Abrigo and Love (2016). Secondly, it analyses the implications of remittances on health outcomes by relying on two comprehensive measures of health outcomes commonly used in the literature which are life expectancy at birth and the rate of under-five mortality rates. Thirdly, we identify governance and maternal education as the channels through which remittances improve health outcomes in developing countries. Finally, the current paper covers an extensive time span (29 years) and focuses on a large sample (107 countries).
Social media usage and its impact on users’ mental health: a longitudinal study and inputs to policymakers
Authors: A. Apoorva , Chaudhuri Ranjan , Hussain Zahid , Chatterjee Sheshadri 
Published: September 2022

Purpose
This paper aims to provide a systematic meta-analysis from the year 2000 up to 2021 by reviewing relevant studies in extant literature related to the impact of social media on mental health.

Design/methodology/approach
This study adopts bibliometric methods and longitudinal statistical analysis to analyze extant literature. The structured literature review and meta-analysis findings on social media usage (SMU) and its impact on mental health indicate emerging research patterns in potentially leading to an integrative view.

Findings
This paper highlights the importance of challenges regarding SMU and its impact on users’ mental health. This study shows interesting meta-analysis on the issues such as Facebook and teenagers’ mental health; Instagram and teenagers’ mental health; Twitter and teenagers’ mental health; and so on from the past 20 years.

Research limitations/implications
This paper is a literature review on a critical social issue like SMU and its impact on users’ mental health. The meta-analysis is conducted only on the indexed paper and does not take the books, blogs and other kinds of literature in this domain. The analysis is carried out only for the research articles published from 2000 to 2021.

Practical implications
Social media refers to any platform involving interactive digital technologies that encourage and facilitate users’ participation. SMU and its impact on users’ mental health can be attributed as contributing factors to the next global crisis. Studies suggest that increased SMU can potentially make users socially anxious. This study provides input to the policymakers, scholars and practitioners to understand the gravity of the situation and develop appropriate policy to overcome the challenges.

Originality/value
The rapidly evolving nature of technology and social media calls for a careful examination of its risks despite the many benefits of e-participation and digital interaction. Although there is widespread acknowledgment of the problematic revelation that the pattern of SMU closely mirrors mainstream addictive behavior; yet, there are only a limited number of comparative studies available. This may be one of the few studies which highlight the issue of SMU and its impact on users’ mental health. Moreover, this study also adds to the body of literature.
Drivers and outcomes of circular economy implementation: evidence from China
Authors: Li Yina , Hu Yuzhou , Li Lixu , Zheng Jiayan , Yin Ying , Fu Shaoling 
Published: September 2022

PurposeAlthough the circular economy is widely regarded as an essential strategy for firms, the present understanding of the drivers and outcomes of circular economy implementation is underdeveloped. In this paper, the authors draw on the natural resource-based view and information processing theory to explore how an environmental orientation and digital supply chain platforms promote circular economy implementation, and increase the impact of circular economy implementation on financial performance.Design/methodology/approachThe authors surveyed 249 Chinese firms and used hierarchical regression analysis to test hypotheses.FindingsThe empirical results reveal that three primary modes of circular economy implementation—reinvent and rethink (INV), restore, reduce and avoid (RRA), and recirculate (REC)—are all driven by environmental orientation and digital supply chain platforms. More interestingly, digital supply chain platforms have an inverted U-shaped moderating effect on the relationships between environmental orientation and INV and between environmental orientation and RRA. Most importantly, INV and RRA are positively related to financial performance, whereas REC does not have a significant relationship with financial performance.Originality/valueThe authors contribute to the literature on the circular economy by revealing new drivers and outcomes of different modes of its implementation. Additionally, the findings have implications for how firms should frame their circular economy initiatives in the context of the digital revolution.
Investigating the effects of gradual deployment of market penetration rates (MPR) of connected vehicles on delay time and fuel consumption
Authors: Ansariyar Alireza , Tahmasebi Milad 
Published: September 2022

Purpose
This research paper aims to investigate the effects of gradual deployment of market penetration rates (MPR) of connected vehicles (MPR of CVs) on delay time and fuel consumption.

Design/methodology/approach
A real-world origin-destination demand matrix survey was conducted in Boston, MA to identify the number of peak hour passing vehicles in the case study.

Findings
The results showed that as the number of CVs (MPR) in the network increases, the total delay time decreases by an average of 14% and the fuel consumption decreases by an average of 56%, respectively, from scenarios 3 to 15 compared to scenario 2.

Research limitations/implications
The first limitation of this study was considering a small network. The considered network shows a small part of the case study.

Originality/value
This study can be a milestone for future research regarding gradual deployment of CVs’ effects on transport networks. Efficient policy(s) may define based on the results of this network for Brockton transport network.
Applying an improved three-stage DEA model to evaluate the innovation resource allocation efficiency in industrial enterprises
Authors: Zhu Yongfeng , Wang Zilong , Yang Jie 
Published: September 2022

PurposeThe existing three-stage network Data Envelopment Analysis (DEA) models with shared input are self-assessment model that are prone to extreme efficiency scores in pursuit of decision-making units (DMUs) efficiency maximization. This study aims to solve the sorting failure problem of the three-stage network DEA model with shared input and applies the proposed model to evaluate innovation resource allocation efficiency of Chinese industrial enterprises.Design/methodology/approachA three-stage network cross-DEA model considering shared input is proposed by incorporating the cross-efficiency model into the three-stage network DEA model. An application of the proposed model in the innovation resource allocation of industrial enterprise is implemented in 30 provinces of China during 2015–2019.FindingsThe efficiency of DMU would be overestimated if the decision-maker preference is overlooked. Moreover, the innovation resource allocation performance of Chinese industrial enterprises had a different spatial distribution, with high in eastern and central China and low in western China. Eastern China was good at knowledge production and technology development but not good at commercial transformation. Northeast China performed well in technology development and commercial conversion but not in knowledge production. The central China did not perform well in terms of technology development.Originality/valueA three-stage network DEA model with shared input is proposed for the first time, which makes up for the problem of sorting failure of the general three-stage network model.