bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptional reprogramming of natural killer cells by vaccinia virus shows both distinct and conserved features with mCMV
Authors: Depierreux Delphine M , Smith Geoffrey L , Ferguson Brian J 
Published: November 2022

AbstractNatural killer (NK) cells have an established role in controlling poxvirus infection and there is a growing interest to exploit their capabilities in the context of poxvirus-based oncolytic therapy and vaccination. How NK cells recognise poxvirus-infected cells to become activated remains unclear. To address this knowledge gap, we studied the NK cell response to vaccinia virus (VACV)in vivo, using a systemic infection murine model. We found broad alterations in NK cells transcriptional activity in VACV-infected mice, consistent with both direct target cell recognition and cytokine exposure. There were also alterations in the expression levels of specific NK surface receptors (NKRs), including the Ly49 family and SLAM receptors, as well as upregulation of memory-associated NK markers. Despite the latter observation, adoptive transfer of NK memory populations did not confer protection from re-infection. Comparison with the NK cell response to murine cytomegalovirus (MCMV) infection highlighted common features, but also distinct NK transcriptional programmes initiated by VACV. Finally, there was a clear overlap between the NK transcriptional response in humans vaccinated with an attenuated VACV, modified vaccinia Ankara (MVA), demonstrating conservation between the NK response in these different host species. Overall, this study provides new data about NK cell activation, function, and homeostasis during VACV infection, and may have implication for the design of VACV-based therapeutics.
Ciliary tip actin dynamics regulate the cadence of photoreceptor disc formation
Authors: Megaw Roly , Moye Abigail , Zhang Zhixian , Newton Fay , McPhie Fraser , Murphy Laura C. , McKie Lisa , He Feng , Jungnickel Melissa K. , von Kriegsheim Alex , Machesky Laura M. , Wensel Theodore , Mill Pleasantine 
Published: November 2022

AbstractAs signalling organelles, primary cilia regulate their membrane G protein-coupled receptor (GPCR) content by ectocytosis, a process requiring localised actin dynamics at their tip to alter membrane shape.(1, 2) Mammalian photoreceptor outer segments comprise an expanse of folded membranes (discs) at the tip of highly-specialised connecting cilia (CC), in which photosensitive GPCRs like rhodopsin are concentrated. In an extraordinary feat of biology, outer segment discs are shed and remade daily.(3) Defects in this process, due to genetic mutations, cause retinitis pigmentosa (RP), an untreatable, blinding disease. The mechanism by which photoreceptor cilia generate outer segments is therefore fundamental for vision yet poorly understood. Here, we show the membrane deformation required for outer segment disc genesis is driven by dynamic changes in the actin cytoskeleton in a process akin to ectocytosis. Further, we showRPGR, a leading causal RP gene, regulates activity of actin binding proteins crucial to this process. Disc genesis is compromised inRpgrmouse models, slowing the actin dynamics required for timely disc formation, leading to aborted membrane shedding as ectosome-like vesicles, photoreceptor death and visual loss. Manipulation of actin dynamics partially rescues the phenotype, suggesting this pathway could be targeted therapeutically. These findings help define how actin-mediated dynamics control outer segment turnover.
Topological changes of fast large-scale brain dynamics in Mild Cognitive Impairment predict the decay of the hippocampal memory
Authors: Romano Antonella , Lopez Emahnuel Troisi , Cipriano Lorenzo , Liparoti Marianna , Minino Roberta , Polverino Arianna , Cavaliere Carlo , Aiello Marco , Granata Carmine , Sorrentino Giuseppe , Sorrentino Pierpaolo 
Published: November 2022

ABSTRACTFunctional connectivity has been widely used as a framework to investigate widespread brain interactions underlying cognitive deficits in Mild Cognitive Impairment (MCI). However, one of the main constraints of functional connectivity is that it is averaged over a time interval and therefore may not take into account the aperiodic and scale-free burst of activity (i.e., the neuronal avalanches) characterising the large-scale dynamic activity of the brain. Here, we used the recently proposed Avalanche Transition Matrix framework to source-reconstructed magnetoencephalography signals in a cohort of 32 MCI patients and 32 healthy controls (HC) to deepen the spatio-temporal features of neuronal avalanches and explore their topological properties. Our results showed that MCI patients exhibited a more centralised network (as assessed by higher values of degree divergence and leaf fraction) compared to HC. Furthermore, we found that the degree divergence (in the theta band) was predictive of the episodic memory impairment, assessed by FCSRT immediate total recall. These findings highlight the role of dynamical features in detecting functional and structural changes in clinical conditions. Hopefully, the proposed framework may be helpful in monitoring the development of the disease by adding subtle information that contributes to a more thorough phenotypical assessment of patients.
Systematic mining and functional analysis of factors regulating wheat spike development for breeding selection
Authors: Lin Xuelei , Xu Yongxin , Wang Dongzhi , Yang Yiman , Zhang Xiaoyu , Bie Xiaomin , Chen Zhongxu , Ding Yiliang , Mao Long , Zhang Xueyong , Lu Fei , Zhang Xiansheng , Uauy Cristobal , Fu Xiangdong , Xiao Jun 
Published: November 2022

AbstractThe spike architecture of wheat plays a crucial role in determining grain number, making it a key trait to optimize in wheat breeding programs. In this study, through a multi-omic approach, we analyzed the transcriptome and epigenome profiles of the shoot apex at eight developmental stages, revealing coordinated changes in chromatin accessibility and H3K27me3 abundance during the flowering transition. We constructed a core transcriptional regulatory network (TRN) that drives wheat spike formation, and experimentally validated a multi-layer regulatory module involving TaSPL15, TaAGLG1, and TaFUL2. By integrating the TRN with genome-wide association analysis (GWAS), we identified 227 transcription factors (TFs), including 42 with known functions and 185 with unknown functions. Further investigation of 61 novel TFs using multiple homozygous mutant lines uncovered 36 TFs with altered spike architecture or flowering time, such as TaMYC2-A1, TaMYB30-A1, and TaWRKY37-A1. Of particular interest, TaMYB30-A1, downstream and repressed by WFZP, was found to regulate fertile spikelet number. Notably, during the domestication and breeding process in China, the excellent haplotype ofTaMYB30-A1containing a C allele at the WFZP binding site was enriched, leading to improved agronomic traits. Our study presents novel and high-confidence regulators and offers an effective strategy for understanding the genetic basis of wheat spike development, with practical impact for wheat breeding applications.
’Simple Tidy GeneCoEx’: a gene co-expression analysis workflow powered by tidyverse and graph-based clustering in R
Authors: Li Chenxin , Buell C. Robin 
Published: November 2022

AbstractGene co-expression analysis is an effective method to detect groups (or modules) of co-expressed genes that display similar expression patterns, which may function in the same biological processes. Here, we present ‘Simple Tidy GeneCoEx’, a gene co-expression analysis workflow written in the R programming language. The workflow is highly customizable across multiple stages of the pipeline including gene selection, edge selection, clustering resolution, and data visualization. Powered by the tidyverse package ecosystem and network analysis functions provided by the igraph package, the workflow detects gene co-expression modules whose members are highly interconnected. Step-by-step instructions with two use case examples as well as source code are available athttps://github.com/cxli233/SimpleTidy_GeneCoEx.Core IdeasAn R-based workflow that performs gene co-expression analysis was developed.The workflow is based on tidyverse packages and graph theory.The workflow is highly customizable, detects tight gene co-expression modules, and generates publication quality figures.Two plant gene expression datasets were used to benchmark the workflow.
Social media analytics in tourism: a review and agenda for future research
Authors: Mukhopadhyay Shameek , Jain Tinu , Modgil Sachin , Singh Rohit Kr 
Published: November 2022

PurposeThe significance of social media in our lives is manifold. The tourism sector closely interacts with existing and potential tourists through social media, and therefore, social media analytics (SMA) play a critical role in the uplift of the sector. Hence, this review focus on the role of SMA in tourism as discussed in different studies over a period of time. The purpose of this paper to present the state of the art on social media analytics in tourism.Design/methodology/approachThe review focuses on identifying different SMA techniques to explore the trends and approaches adopted in the tourism sector. The review is based on 83 papers and discuss the studies related to different social media platforms, the travelers' reactions to a particular place and how the tourism experience is enriched by the way of SMA.FindingsFindings indicate different sentiments associated with tourism and provides a review of tourists’ use of social media for choosing a travel destination. The various analytical approaches, areas such as social network analysis, content analysis, sentiment analysis and trend analysis were found most prevalent. The theoretical and practical implications of SMA are discussed. The paper made an effort to bridge the gap between different studies in the field of tourism and SMA.Originality/valueSMA facilitate both tourists and tourism companies to understand the trends, sentiments and desires of tourists. The use of SMA offers value to companies for designing quick and adequate services to tourists.
The rise of digital capitalism and the social changes it caused: how to develop the digital economy in socialist China
Authors: Ding Xiaoqin , Chai Qiaoyan 
Published: November 2022

PurposeThe study aims to take a step back and take the big picture of how digital capitalism is changing people's ways of living and production. On that basis, China should enhance its digital governance rationally and develop the digital economy efficiently, thereby bringing its socialist economy to new heights.Design/methodology/approachThe rise of digital capitalism in the 1990s has profoundly changed the ways of consumption, employment, production organization and investment in the realm of capitalism.FindingsDigital Capitalism has not changed the nature of capitalism, that is, exploitation and capital accumulation, which continue only in a more profound, extensive and covert way.Originality/valueFor the economy of socialist China to grow in the new era, China should tap into digital economy platforms, take a people-centered approach and let the people jointly develop the digital economy, share the fruits of development and participate in the governance of the digital economy. The government should leverage its modern digital governance and a high-quality digital economy to meet people's ever-growing demand for a better life.
Indispensable skills for human employees in the age of robots and AI
Authors: Chuang Szufang 
Published: November 2022

Purpose
Based on sociotechnical systems theory, social (human) and technological sub-systems in an organization should be taken in account when making strategic decisions and designed to fit the demands of the environment for organizational effectiveness. Yet there is very limited information in literature on whether employees are well equipped with indispensable (human) skills to prepare them combating challenges caused by advanced technology. The purpose of this study is to empirically investigate employees’ human skills that are critical for success in the Age of Robots and Artificial Intelligence from human resource development’s perspective.

Design/methodology/approach
A questionnaire was developed for the purpose of this exploratory study. A total of 422 US Midwest employees were surveyed on their human skills level that are critical for success in the Industry 4.0 transformation.

Findings
In general, the respondents could perform all the measured human skills (which can be categorized into social skillset and decision-making skillset) more than adequate but may vary by education level and gender. To strengthen one’s human skills, organizations may begin with facilitating employees on relationship building to create a support system and a strong sense of belonging, which will promote their social sensitivity and collaboration skill development, as well as decision-making skillset.

Originality/value
The findings of this study can be used for techno-structural interventions and employee development programs. This study highlights the importance of investigating human skills to cope with the changing nature of work and make upskilling more feasible and flexible for workers to be robot-proof.
Two-dimensional deformations in an initially stressed nonlocal micropolar thermoelastic porous medium subjected to a moving thermal load
Authors: Kundu Sandeep , Kalkal Kapil Kumar , Sangwan Monika , Sheoran Devender 
Published: November 2022

PurposeThe purpose of the present paper is to investigate the thermo-mechanical interactions in an initially stressed nonlocal micropolar thermoelastic half-space having void pores under Lord–Shulman model. A moving thermal shock is applied to the formulation.Design/methodology/approachThe normal mode technique is adopted to obtain the exact expressions of the physical quantities.FindingsNumerical computations for stresses, displacement components, temperature field and change in the volume fraction field are performed for suitable material and are depicted graphically. Some comparisons have been shown in figures to estimate the effects of micropolarity, initial stress, voids, nonlocal parameter and time on the resulting quantities.Originality/valueThe exact expressions for the displacement components, stresses, temperature and change in the volume fraction field are obtained in the physical domain. Although numerous investigations do exist to observe the disturbances in a homogeneous, isotropic, initially stressed, micropolar thermoelastic half-space, the work in its current form has not been established by any scholar till now. The originality of the present work lies in the formulation of a fresh research problem to investigate the dependence of different physical fields on nonlocality parameters, micropolarity, initial stress, porosity and time due to the application of a moving thermal shock.
Emotion analysis of user reactions to online news
Authors: Bagić Babac Marina 
Published: November 2022

PurposeSocial media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.Design/methodology/approachMore than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.FindingsThe findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.Originality/valueThis paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.
Translating responsible leadership into team customer relationship performance in the tourism context: the role of collective job crafting
Authors: Luu Trong Tuan 
Published: November 2022

Purpose
This study aims to unravel the role of teams’ job crafting in translating responsible leadership into their customer relationship performance.

Design/methodology/approach
The data were gathered from 87 managers and 608 employees from tour companies. The data analysis was performed via multilevel structural equation modeling.

Findings
The results demonstrated that crafting of team tasks played a mediating role for the link of responsible leadership to the team’s customer relationship performance. Task interdependence, outcome interdependence and their interaction attenuated the influence of responsible leadership on collective job crafting.

Practical implications
The results suggest that tourism managers can enhance customer relationship performance of their team through training and development of responsible leadership, encouraging team members’ crafting of team tasks, as well as enhancing outcome and task interdependence.

Originality/value
This research expands the literature by identifying how and when responsible leadership promotes team customer relationship performance in tourism companies.
Asymmetric effects of policy uncertainty on real sector variables in emerging markets: evidence from Brazil, India, China and South Africa
Authors: Ogbuabor Jonathan E. , Malaolu Victor A. , Orji Anthony 
Published: November 2022

PurposeThis study investigated the asymmetric effects of changes in policy uncertainty on real sector variables in Brazil, China, India and South Africa.Design/methodology/approachThe study used the nonlinear autoregressive distributed lag (NARDL) modeling framework.FindingsThe results showed that both in the long run and short run, rising uncertainty not only increases consumer prices significantly in these economies, but also impedes aggregate and sectoral output growths, and deters investment, employment and private consumption. Contrary to economic expectation, the results also showed that in the long run, declining uncertainty impedes aggregate and sectoral output growths in these economies, and significantly hinders employment in South Africa and Brazil. This suggests that in the long run, economic agents in these economies somewhat behave as if uncertainty is rising. The authors also found significant asymmetric effects in the response of real sector variables to uncertainty both in the long run and short run, which justifies the choice of NARDL framework for this study.Research limitations/implicationsThe sample is limited to Brazil, India, China and South Africa. While Brazil, India and China are three of the most prominent large emerging market economies, South Africa is the largest emerging market economy in Africa.Practical implicationsTo lessen the adverse effects of policy uncertainty observed in the results, there is need for sound institutions and policy regimes that can promote predictable policy responses in these economies so that policy neither serves as a source of uncertainty nor as a channel through which the effects of other shocks are transmitted.Originality/valueApart from using the NARDL framework to capture the asymmetric effects of policy uncertainty, this study also accounted for the sectoral effects of uncertainty in emerging markets.
Increasing availability of COVID-19 vaccine to older adults under community supervision
Authors: Dauria Emily , Clemenzi-Allen Angelo , Nowotny Kathryn , Brinkley-Rubinstein Lauren , Williams Brie , Wurcel Alysse 
Published: November 2022

Purpose
Vaccinating adults who are involved with the carceral system, particularly those aged 55 or older, is crucial to containing the COVID-19 pandemic in the USA, particularly as variants continue to emerge and spread. In this Viewpoint, the authors discuss the reasons why improving access to COVID-19 vaccine and boosters among community supervised adults, especially the aging population, is critical to mitigating the public health consequences of the COVID-19 pandemic. This study concludes by providing recommendations to enhance vaccine and booster uptake in this population, as the pandemic continues.

Design/methodology/approach
This is a Viewpoint paper regarding mitigating the spread of COVID-19 by improving access to vaccine and boosters among community supervised adults, especially the aging population.

Findings
A key population that has been overlooked in vaccination efforts are older adults involved in the carceral system who are living in the community (i.e. “community supervised” or people on probation or parole). Older adults on probation and parole are at high risk for SARS-CoV-2 transmission and severe disease due to numerous factors at the individual, community, social and structural levels.

Originality/value
Implementation of recommendations presented in this Viewpoint will mitigate COVID-19 risk among a population that has been marginalized and overlooked, yet has been the epicenter of the COVID-19 pandemic.
It’s the REAL thing: contested media discourse and the UK Sugar Tax
Authors: Daniel Elizabeth Mary , O’Sullivan Terry , Harris Fiona 
Published: November 2022

PurposeHealth policies often require individuals to limit behaviours deemed enjoyable or suffer other burdens. This leads to considerable and contested discourse often played out in the popular media. The aim of this study is to determine the effects of such contested media discourse on viewers' perceived attitude change towards the target behaviour.Design/methodology/approachCombining concepts from discourse analysis and marketing-psychology elaboration models, the authors undertook an online survey in which a large sample of the public (N = 855) watched parts of a real daytime news debate on the UK Sugar Tax. The authors then evaluated the effects of this discourse on the perceived understanding of the tax and perceived attitude change to the consumption of sugary drinks.FindingsParticipants differentiated between parts of the discourse related to facts and arguments (termed argument-related discourse devices) and parts related to the format and tone of the debate (termed debate-/speaker-related discourse devices). Contrary to what might be expected, debate-/speaker-related discourse devices, which might be thought of as subjective, appeared to effect positive perceived attitude change through a cognitive processing route that involved perceived improved understanding. The argument-related discourse devices, which may appear objective or rational, were not associated with perceived improved understanding but were directly associated with positive perceived attitude change.Originality/valueGiven the authors' interest in the relationship between discourse and perceived attitude change, the authors take the novel step of linking concepts from discourse analysis with models of attitude change taken from the marketing-psychology domain. Furthermore, the authors' large-scale survey “democratises” discourse analysis, allowing non-expert participants to reflect upon discourse.