bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testing concordance and conflict in spatial replication of landscape genetics inferences
Authors: Wishingrad Van , Thomson Robert C. 
Published: June 2021

ABSTRACTThe field of landscape genetics relates habitat features and genetic information to infer dispersal and genetic connectivity between populations or individuals distributed across a landscape. Such studies usually focus on a small portion of a species range, and the degree to which these geographically restricted results can be extrapolated to different areas of a species range remains poorly understood. Studies that have focused on spatial replication in landscape genetics processes either evaluate a small number of sites, are informed by a small set of genetic markers, analyze only a small subset of environmental variables, or implement models that do not fully explore parameter space. Here, we used a broadly distributed ectothermic lizard (Sceloporus occidentalis, Western Fence lizard) as a model species to evaluate the full role of topography, climate, vegetation, and roads on dispersal and genetic differentiation. We conducted landscape genetics analyses in five areas within the Sierra Nevada mountain range, using thousands of ddRAD genetic markers distributed across the genome, implemented in the landscape genetics program ResistanceGA. Across study areas, we found a great deal of consistency in the variables impacting genetic connectivity, but also noted site-specific differences in the factors in each study area. High-elevation colder areas were consistently found to be barriers to gene flow, as were areas of high ruggedness and slope. High temperature seasonality and high precipitation during the winter wet season also presented a substantial barrier to gene flow in a majority of study areas. The effect of other landscape variables on genetic differentiation was more idiosyncratic and depended on specific attributes at each site. Vegetation type was found to substantially affect gene flow only in the southernmost Sequoia site, likely due to a higher proportion of desert habitat here, thereby fragmenting habitats that have lower costs to dispersal. The effect of roads also varied between sites and may be related to differences in road usage and amount of traffic in each area. Across study areas, canyons were always substantially implicated as facilitators to dispersal and key features linking populations and maintaining genetic connectivity across landscapes. We emphasize that spatial data layers are complex and multidimensional, and a careful consideration of associations between variables is vital to form sound conclusions about the critical factors affecting dispersal and genetic connectivity across space.
Multivalent interactions with RNA drive RNA binding protein recruitment and dynamics in biomolecular condensates in Xenopus oocytes
Authors: Cabral Sarah E. , Mowry Kimberly L. 
Published: June 2021

AbstractRNA localization and biomolecular condensate formation are key biological strategies for organizing the cytoplasm and generating cellular and developmental polarity. While enrichment of RNAs and RNA-binding proteins (RBPs) is a hallmark of both processes, the functional and structural roles of RNA-RNA and RNA-protein interactions within condensates remain unclear. Recent work from our laboratory has shown that RNAs required for germ layer patterning in Xenopus oocytes localize in novel biomolecular condensates, termed Localization bodies (L-bodies). L-bodies are composed of a non-dynamic RNA phase enmeshed in a more dynamic protein-containing phase. However, the interactions that drive the biophysical characteristics of L-bodies are not known. Here, we test the role of RNA-protein interactions using an L-body RNA-binding protein, PTBP3, which contains four RNA-binding domains (RBDs). We find that binding of RNA to PTB is required for both RNA and PTBP3 to be enriched in L-bodies in vivo. Importantly, while RNA binding to a single RBD is sufficient to drive PTBP3 localization to L-bodies, interactions between multiple RRMs and RNA tunes the dynamics of PTBP3 within L-bodies. In vitro, recombinant PTBP3 phase separates into non-dynamic structures in an RNA-dependent manner, supporting a role for RNA-protein interactions as a driver of both recruitment of components to L-bodies and the dynamics of the components after enrichment. Our results point to a model where RNA serves as a concentration-dependent, non-dynamic substructure and multivalent interactions with RNA are a key driver of protein dynamics.
Efficacy of Proxalutamide in Hospitalized COVID-19 Patients: A Randomized, Double-Blind, Placebo-Controlled, Parallel-Design Clinical Trial
Authors: Cadegiani Flávio Adsuara , do Nascimento Fonseca Daniel , McCoy John , Zimerman Ricardo Ariel , Mirza Fatima Nadeem , do Nascimento Correia Michael , Barros Renan Nascimento , Onety Dirce Costa , Israel Karla Cristina Petruccelli , de Almeida Brenda Gomes , Guerreiro Emilyn Oliveira , Medeiros José Erique Miranda , Nicolau Raquel Neves , Nicolau Luiza Fernanda Mendonça , Cunha Rafael Xavier , Barroco Maria Fernanda Rodrigues , da Silva Patrícia Souza , de Souza Ferreira Gabriel , da Costa Alcântara Flavio Renan Paula , Ribeiro Ângelo Macedo , de Almeida Felipe Oliveira , de Souza Silva Adailson Antonio , do Rosario Suzyane Serfaty , de Souza Paulain Raysa Wanzeller , Reis Alessandra , Li Marissa , Thompson Claudia Elizabeth , Nau Gerard J. , Wambier Carlos Gustavo , Goren Andy 
Published: June 2021

AbstractBackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectivity is mediated by the androgen-promoted protease, transmembrane protease, serine 2 (TMPRSS2). Previously, we have shown that treatment with proxalutamide, a non-steroidal androgen receptor antagonist, accelerates viral clearance and clinical remission in outpatients with coronavirus disease 2019 (COVID-19) compared to placebo. The effects in hospitalized COVID-19 patients were unknown.MethodsMen and women hospitalized but not requiring mechanical ventilation were randomized (1:1 ratio) to receive 300 mg of proxalutamide per day or placebo for 14 days. The study was conducted at eight sites in the state of Amazonas, Brazil. The primary outcome measure was the clinical status (8-point ordinal scale) at 14-days post-randomization. The primary efficacy endpoint was the 14-day recovery ratio (alive hospital discharge [scores 1, 2]).FindingsA total of 645 patients were randomized (317 received proxalutamide, 328 placebo) and underwent intention-to-treat analysis. The 14-day median ordinal scale score in the proxalutamide group was 1 (interquartile range [IQR]=1–2) versus 7 (IQR=2–8) for placebo, P<0.001. The 14-day recovery rate was 81.4% for proxalutamide and 35.7% for placebo (recovery ratio, 2.28; 95% CI 1.95–2.66 [P<0.001]). The 28-day all-cause mortality rate was 11.0% for proxalutamide versus 49.4% for placebo (hazard ratio, 0.16; 95% CI 0.11–0.24). The median post-randomization time to recovery was 5 days (IQR=3– 8) for proxalutamide versus 10 days (IQR=6–15) for placebo.InterpretationHospitalized COVID-19 patients not requiring mechanical ventilation receiving proxalutamide had a 128% higher recovery rate than those treated with placebo. All-cause mortality was reduced by 77.7% over 28 days. (ClinicalTrials.gov number, NCT04728802).
Iterative learning control for a distributed cloud robot with payload delivery
Authors: Li Jiehao , Wang Shoukun , Wang Junzheng , Li Jing , Zhao Jiangbo , Ma Liling 
Published: June 2021

Purpose
When it comes to the high accuracy autonomous motion of the mobile robot, it is challenging to effectively control the robot to follow the desired trajectory and transport the payload simultaneously, especially for the cloud robot system. In this paper, a flexible trajectory tracking control scheme is developed via iterative learning control to manage a distributed cloud robot (BIT-6NAZA) under the payload delivery scenarios.

Design/methodology/approach
Considering the relationship of six-wheeled independent steering in the BIT-6NAZA robot, an iterative learning controller is implemented for reliable trajectory tracking with the payload transportation. Meanwhile, the stability analysis of the system ensures the effective convergence of the algorithm.

Findings
Finally, to evaluate the developed method, some demonstrations, including the different motion models and tracking control, are presented both in simulation and experiment. It can achieve flexible tracking performance of the designed composite algorithm.

Originality/value
This paper provides a feasible method for the trajectory tracking control in the cloud robot system and simultaneously promotes the robot application in practical engineering.
Industry 4.0 and business models: a bibliometric literature review
Authors: Agostini Lara , Nosella Anna 
Published: June 2021

PurposeFollowing an increasing interest in the area that merges digital/I4.0 technologies and business models (BMs), which led to a proliferation of articles in this domain, the purpose of this article is to systematize this body of literature by means of a structured literature review.Design/methodology/approachAfter a careful selection of articles, we carried out the analysis with the support of bibliometric techniques, using the bibliographic coupling approach complemented with factor analysis and the content analysis of articles.FindingsThe results of the literature review analysis allow us to organize the literature around four main research streams, namely digital technologies and business model innovation, digital strategy and BMs, digital platforms and BMs, and IoT, servitization and BMs. On such a basis, we outline gaps and provide promising avenues for further research in this research area.Research limitations/implicationsThis study has implications for academics in terms of conceptualization of relevant constructs, integration of two streams of research and specific technologies whose relationship with the BM still deserves attention.Practical implicationsThis study has implications also for managers, who may take advantage of the description of some BM archetypes driven by digital/I4.0 technologies and also appreciate the relevance of taking a strategic approach, with a particular focus on the BM, toward the use of digital technologies.Originality/valueThis study merges two relevant streams of research in an attempt to see how they have developed synergically and what potentials their merge could offer for future research.
Predictors of applicant attraction among Gen-X and millennials: evidence from an emerging economy
Authors: Dutta Debolina , Mishra Sushanta Kumar 
Published: June 2021

PurposeA better understanding of applicant attraction enables organizations to manage their talent needs, thus enhancing HR effectiveness. Even though generational difference exists in modern organizations, scholarly work investigating the salient predictors of applicant attraction between the Gen-X and millennial cohorts is missing. The authors attempt to inform the literature by addressing this gap.Design/methodology/approachThe study captures applicant attraction using a survey-based study of 1949 working employees in India, representing Gen-X and millennial generations.FindingsThe study provides critical factors that differentially impact millennial and Gen-X members' attraction toward an organization. It also reveals that satisfaction in the current job affects millennials and the Gen-X cohorts differently.Research limitations/implicationsRecruitment research has neglected the predictors of applicant attraction among generational cohorts. Further, studies on generational differences have originated in western contexts and have ignored the emerging economies. Based on the responses of working professionals, our study increases the generalizability of the results.Practical implicationsThe multi-generational workplace has the largest proportion of both Gen-X and millennial employees. A deeper understanding of their preferences can help HR practitioners leverage the drivers of applicant attraction. The study provides inputs to design recruitment strategies to target generational groups within and outside the organization.Originality/valueThe present study examines the phenomenon in an emerging market marked by a high economic growth rate and an eastern cultural context. The study presents a more realistic representation of applicant needs by sourcing inputs from working employees across generation groups.
Impact of perceived organizational support on employee performance in IT firms – a comparison among Pakistan and Saudi Arabia
Authors: Sabir Irfan , Ali Imran , Majid Muhammad Bilal , Sabir Naila , Mehmood Hamid , Rehman Asad Ur , Nawaz Farooq 
Published: June 2021

PurposeThe purpose of this paper is to evaluate the influence of perceived organizational support on employees’ performance in information technology (IT) firms in Pakistan and Saudi Arabia. Organizational support is critical as it ensures support given by the organization to workers and to complete one’s job proficiently and effectively.Design/methodology/approachData were collected from IT firm employees through a self-administered questionnaire survey where a total of 400 questionnaires were distributed, i.e. 200 in each country’s IT firms. A total of 383 completed questionnaires were received (190 from Pakistan and the remaining 183 from Saudi Arabia) representing a response rate of 95%. The hypothesis was tested using confirmatory factor analyzes and direct relations were confirmed using AMOS v24.FindingsThe results indicate that perceived organizational support and affective commitment have a significant positive impact on employee performance. Findings of the study show that perceived organizational support and affective commitment directly and significantly correlated (r= 0.439**;p< 0.05) (r= 0.489**;p< 0.05) with employee performance. On other hand, results of structural equation modeling indicate that perceived organizational support and affective commitment have a significant and positive impact (ß= 0.284;p< 0.01) and (ß= 0.370;p< 0.01) on employees’ performance. Moreover, affective commitment partially mediates the relationship between perceived organizational support and employee performance.Research limitations/implicationsThe outcomes are not generalized, as the researcher analyzed working employees in the IT firms in Saudi Arabia and Pakistan. The relationship between perceived organizational support and employees’ performance may be checked in a longitudinal study. If all items are considered because of the ambiguity of human feeling and acknowledgment, it is hard to precisely assess employees’ performance and their needs. This research proposes a straightforward and handy model that supports managers to feature the most powerful factors in building up their employees’ performance.Originality/valueThis study proposes managers to give chances to proficient advancement, improved occupation and satisfying the necessities identified through deference, mindfulness and endorsement. Furthermore, they ought to make more good working conditions, for example, preparing chances to support workers in their wants for self-improvement and accomplishment. The research additionally recommends recording the unmistakable standard operation procedure to clarify the understanding of the employees. In addition, managers ought to invest sensible energy with their front-line employees through socialization and training. These efforts could limit fatigue work, enhance organizational duty and performance.
Major customer network structure and supplier trade credit
Authors: Jhang Shih-Sian (Sherwin) , Su Hung-Chung , Kao Ta-Wei (Daniel) 
Published: June 2021

PurposeThis study investigates how a firm's structural embeddedness, the structural position in a supply network that consists of major customers, influences the acquisition of supplier trade credit. Specifically, this study examines how network interconnectedness, network integration and network independence of a firm affect its ability to acquire supplier trade credit.Design/methodology/approachThis study utilizes financial data from Compustat to build a longitudinal dataset of manufacturing firms from 1998 to 2013. Customer segment disclosure data are used to construct firm-level network variables. A fixed effect regression approach is used for estimation.FindingsThe study results show that network interconnectedness is negatively associated with supplier trade credit, while network integration is positively associated with supplier trade credit. Network independence does not influence the extent of supplier trade credit. The post hoc analysis shows that the effects of the hypothesized factors vary under different product categories and credit ratings.Originality/valueThis study broadens the supply chain finance literature by showing how a firm's embedded network structural position can influence its ability to obtain supplier trade credit.
Internal crisis communication and the social construction of emotion: university leaders' sensegiving discourse during the COVID-19 pandemic
Authors: Yeomans Liz , Bowman Sarah 
Published: June 2021

PurposeThe paper explores university leaders' employee-focused sensegiving discourse during the COVID-19 health crisis. The aim is to reveal how leadership sensegiving narratives construct emotion in the rhetor-audience relationship.Design/methodology/approachA social constructionist, sensemaking approach centres on the meaning-making discourse of university leaders. Using rhetorical discourse analysis (RDA), the study analysed 67 emails sent to staff during a three-month period at the start of the global pandemic. RDA helps to reveal how university leaders help employees make sense of changing realities.FindingsThree core narratives: organisational competence and resilience; empathy, reassurance and recognition; and community and location reveal a multi-layered understanding of leadership sensegiving discourse in which emotion intersects with material and temporal sensemaking dimensions. In supporting a process of organisational identification and belonging, these core narratives help to mitigate audience dissonance driven by the antenarrative of uncertainty.Research limitations/implicationsAn interpretivist approach was used to analyse qualitative data from two UK universities. While focused on internal communication, the employee perspective was not examined. Nevertheless, this paper extends the human dimension of internal crisis communication, building on constructionist approaches that are concerned with emotion and sensegiving.Originality/valueThis paper expands the domain of internal crisis communication. It integrates the social construction of emotion and sensemaking with the underexplored material and temporal dimensions in internal crisis communication and applies RDA.
Impacts of brand familiarity and brand responses on perceived brand credibility, similarity, and blog recommendation intention: a study of corporate blogs
Authors: Kim Jiyoung , Min Jihye Ellie , Le Linh Ha 
Published: June 2021

PurposeAdopting the theory of parasocial interaction (PSI) and schema theory, this study proposes that a brand’s personalized response and brand familiarity on a corporate blog will lead to higher perceived brand similarity, credibility and blog recommendation intention.Design/methodology/approachA 2 (brand familiarity: high, low) × 3 (brand responses: none, automated and personal) experimental design was developed to test the hypothesized relationships. A total of 474 qualified data were collected using an online survey. ANOVA was utilized to test the research hypotheses.FindingsStudy results revealed that personalized messages lead to stronger perceived brand similarity, credibility and blog recommendation intention than those exposed to automated and no response. Brand familiarity also significantly influenced perceived brand similarity, brand credibility and blog recommendation intention. Further, the study analysis revealed an interesting interaction effect between brand awareness and brand response on recommendation intention.Originality/valueThe study provides meaningful implications and suggestions for the effective corporate blogging strategy to influence consumers’ attitudes and image toward brands and establish strong brand equity and relationships with customers.
Effects of humor climate within online brand community
Authors: Yang Shuang , Cai Jian , Tu Hongwei 
Published: June 2021

PurposeThis study examines the effects of the online brand community's (OBC) humor climate on the value cocreation (VCC) behavior of consumers using the affective events theory. It also evaluates the serial mediating roles of positive emotions and brand engagement and the moderating effect of membership duration.Design/methodology/approachThe authors collected data from 601 Chinese consumers of OBCs using an online questionnaire survey and applied structural equation modeling to analyze the data.FindingsThe authors found a positive relationship between OBC humor climate and VCC behavior, which was mediated by positive emotions and brand engagement. Additionally, there was a serial mediation effect of these two variables. The influence of the OBC humor climate on positive emotions was stronger for short-term members than long-term ones.Practical implicationsThis research contributes toward OBC management and VCC marketing strategy for constructing brand equity.Originality/valueThis study is among the first to focus on the significance of the OBC humor climate, thus enriching the OBC literature and providing a new perspective on how to facilitate VCC behavior. It also broadens the application of the affective events theory in marketing.
Local solidification thermal parameters affecting the eutectic extent in Sn-Cu and Sn-Bi solder alloys
Authors: Kakitani Rafael , Pinto da Silva Cassio Augusto , Silva Bismarck , Garcia Amauri , Cheung Noé , Spinelli José Eduardo 
Published: June 2021

PurposeOverall, selection maps about the extent of the eutectic growth projects the solidification velocities leading to given microstructures. This is because of limitations of most of the set of results when obtained for single thermal gradients within the experimental spectrum. In these cases, associations only with the solidification velocity could give the false impression that reaching a given velocity would be enough to reproduce a result. However, that velocity must necessarily be accompanied by a specific thermal gradient during transient solidification. Therefore, the purpose of this paper is to not only project velocity but also include the gradients acting for each velocity.Design/methodology/approachCompilation of solidification velocity, v, thermal gradient, G, and cooling rate, Ṫ, data for Sn-Cu and Sn-Bi solder alloys of interest is presented. These data are placed in the form of coupled growth zones according to the correlated microstructures in the literature. In addition, results generated in this work for Sn-(0.5, 0.7, 2.0, 2.8)% Cu and Sn-(34, 52, 58)% Bi alloys solidified under non-stationary conditions are added.FindingsWhen analyzing the cooling rate (Ṫ = G.v) and velocity separately, in or around the eutectic composition, a consensus cannot be reached on the resulting microstructure. The (v vs. G) + cooling rate diagrams allow comprehensive analyzes of the combined v and G effects on the subsequent microstructure of the Sn-Cu and Sn-Bi alloys.Originality/valueThe present paper is devoted to the establishment of (v vs. G) + cooling rate diagrams. These plots may allow comprehensive analyses of the combined v and G effects on the subsequent microstructure of the Sn-Cu and Sn-Bi alloys. This microstructure-processing mapping approach is promising to predict phase competition and resulting microstructures in soldering of Sn-Cu and Sn-Bi alloys. These two classes of alloys are of interest to the soldering industry, whereas manipulation of their microstructures is considered of utmost importance for the metallurgical quality of the product.