bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vaccinia Virus Arrests and Shifts the Cell Cycle
Authors: Martin Caroline K. , Samolej Jerzy , Olson Annabel T. , Bertoli Cosetta , Wiebe Matthew S. , de Bruin Robertus A. M. , Mercer Jason 
Published: July 2021

ABSTRACTModulation of the host cell cycle is a common strategy used by viruses to create a pro-replicative environment. To facilitate viral genome replication, vaccinia virus (VACV) has been reported to alter cell cycle regulation and trigger the host cell DNA damage response. However, the cellular factors and viral effectors that mediate these changes remain unknown. Here, we set out to investigate the effect of VACV infection on cell proliferation and host cell cycle progression. Using a subset of VACV mutants we characterize the stage of infection required for inhibition of cell proliferation and define the viral effectors required to dysregulate the host cell cycle. Consistent with previous studies, we show that VACV inhibits, and subsequently shifts the host cell cycle. We demonstrate that these two phenomena are independent of one another, with viral early genes being responsible for cell cycle inhibition, and post-replicative viral gene(s) responsible for the cell cycle shift. Extending previous findings, we show that the viral kinase F10 is required to activate the DNA damage checkpoint and that the viral B1/B12 (pseudo) kinases mediate degradation of checkpoint effectors p53 and p21 during infection. We conclude that VACV modulates host cell proliferation and host cell cycle progression through temporal expression of multiple VACV effector proteins.
Rhodanese Rdl2 produces reactive sulfur species to scavenge hydroxyl radical and protect mitochondria
Authors: Wang Qingda , Chen Zhigang , Zhang Xi , Xin Yuping , Xia Yongzhen , Xun Luying , Liu Huaiwei 
Published: July 2021

AbstractDuring aerobic respiration, mitochondria generate superoxide anion (O2•−), hydrogen peroxide (H2O2), and hydroxyl radical (HO•), and these reactive oxygen species (ROS) are detrimental to mitochondria. Mitochondrial damage is linked to a broad spectrum of pathologies such as Alzheimer’s disease, hemochromatosis, and diabetes. Mitochondria contain several enzymes for rapidly removing superoxide anion and hydrogen peroxide, but how they antagonize HO• is elusive, representing a loophole in the anti-ROS system. Herein, we discovered that Rhodanese 2 (Rdl2) is critical for maintaining the functionality and integrity of mitochondria under sub-lethal ROS stress in Saccharomyces cerevisiae. Rdl2 converts stable sulfur species (thiosulfate and dialkyl polysulfide) to reactive sulfane sulfur including persulfide that protects mitochondrial DNA via scavenging HO•. Surprisingly, hydrogen sulfide (H2S) promotes HO• production through stimulating the Fenton reaction, leading to increased DNA damage. Our study may reveal an ex-ante mean for antagonizing HO•, patching the loophole of the anti-ROS system in mitochondria.
The critical modulatory role of spiny stellate cells in seizure onset based on dynamic analysis of a neural mass model
Authors: Tabatabaee Saba , Bahrami Fariba , Janahmadi Mahyar 
Published: July 2021

AbstractGrowing evidence suggests that excitatory neurons in the brain play a significant role in seizure generation. Nonetheless, spiny stellate cells are cortical excitatory non-pyramidal neurons in the brain, which their basic role in seizure occurrence is not well understood. In the present research, we study the critical role of spiny stellate cells or the excitatory interneurons (EI), for the first time, in epileptic seizure generation using an extended neural mass model inspired by Liu and Wang model in 2017. Applying bifurcation analysis on this modified model, we investigated the rich dynamics corresponding to the epileptic seizure onset and transition between interictal and ictal states caused by EI connectivity to other cell types. Our results indicate that the transition between interictal and ictal states (preictal signal) corresponds to a supercritical Hopf bifurcation, and thus, the extended model suggests that before seizure onset, the amplitude and frequency of neural activities gradually increase. Moreover, we showed that 1) the altered function of GABAergic and glutamatergic receptors of EI can cause seizure, and 2) the pathway between the thalamic relay nucleus and EI facilitates the transition from interictal to the ictal activity by decreasing the preictal period. Thereafter, we considered both sensory and cortical periodic inputs to study model responses to various harmonic stimulations. Bifurcation analysis of the model, in this case, suggests that the initial state of the model might be the main cause for the transition between interictal and ictal states as the stimulus frequency changes. The extended thalamocortical model shows also that the amplitude jump phenomenon and nonlinear resonance behavior result from the preictal state of the modified model. These results can be considered as a step forward to a deeper understanding of the mechanisms underlying the transition from normal activities to epileptic activities.
Fast and efficient CRISPR-mediated genome editing in Aureobasidium pullulans using Cas9 ribonucleoproteins
Authors: Kreuter Johanna , Stark Georg , Mach Robert L. , Mach-Aigner Astrid R. , Derntl Christian 
Published: July 2021

SummaryAureobasidium pullulans is a ubiquitous, polyextremotolerant, “yeast-like” ascomycete used for the industrial production of pullulan and other products and as biocontrol agent in the agriculture. Its application potential and its wide-spread occurrence make A. pullulans an interesting study object. The availability of a fast and efficient genome editing method is an obvious advantage for future basic and applied research on A. pullulans. In this study, we describe the development of a CRISPR/Cas9-based genome editing method using ribonucleoproteins (RNPs). We demonstrate that this method can be used for single and multiplex genome editing using only RNPs by targeting ura3 (encoding for orotidine-5′-phosphate decarboxylase), praics (encoding for phosphoribosyl aminoimidazole-succinocarboxamide synthase) and asl (encoding for arginine succinate lyase). We demonstrate the applicability of Trichoderma reesei pyr4 and Aspergillus fumigatus pyrG to complement the ura3 deficiency. Further, we show that the usage of RNPs can boost the homologous recombination rate up to nearly 100%, even when using only 20bp long homologous flanks. Therefore, the repair cassettes can be constructed by a single PCR, abolishing the need for laborious and time-consuming cloning. The here presented method allows fast and efficient genome editing for gene deletions, modifications, and insertions in A. pullulans.
Research trends analysis using text mining in construction management: 2000–2020
Authors: Bilge Eymen Çağatay , Yaman Hakan 
Published: July 2021

PurposeThis study aims to identify the trends that have changed in the field of construction management over the last 20 years.Design/methodology/approachIn this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method.FindingsIn this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature.Research limitations/implicationsThis study uses bibliometric analysis. The authors accept that the co-citation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain.Originality/valueThere has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.
Critical success factors for BIM adoption during construction phase: a Singapore case study
Authors: Liu Ziwen , Lu Yujie , Nath Tushar , Wang Qian , Tiong Robert Lee Kong , Peh Luke Lu Chang 
Published: July 2021

PurposeAs a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore.Design/methodology/approachThis study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase.FindingsFrom a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology.Originality/valueThis study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.
Getting involved in innovation: how High-Involvement HRM practices support employee’s to be innovative
Authors: Beddow Helen 
Published: July 2021

Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings
Based on research from the manufacturing industry in Pakistan, the authors find that high-involvement HR practices have a direct positive impact on individual employee functional flexibility and innovative workplace behavior

Originality/value
The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Research shows offering excellent compensation and job security makes South Korean employees much less likely to quit jobs
Authors: Smith David 
Published: July 2021

Purpose
The researcher wanted to study the effect of HRM practices on turnover in a South Korean context. Previous studies have focused on Western contexts.

Design/methodology/approach
The author collected data from 310 white-collar and knowledge workers from Seoul. A set of five hypotheses were tested

Findings
The results showed that offering excellent compensation and job security made employees much less likely to leave. However, the indirect effect of job autonomy was not found to be significant.

Originality/value
The study has theoretical implications for workplaces. First, the findings show compensation satisfaction is of crucial importance and HR retention strategies should focus on how employees perceive their pay, benefits and pay policies. Second, the results show that HR managers and top-level executives should make job security a primary concern. For example, they should provide accurate and honest information” about the causes and actions.
Spherical uncertain linguistic Hamacher aggregation operators and their application on achieving consistent opinion fusion in group decision making
Authors: Qiyas Muhammad , Abdullah Saleem , Naeem Muhammad 
Published: July 2021

PurposeThe aim of this research is to establish a new type of aggregation operator based on Hamacher operational law of spherical uncertain linguistic numbers (SULNs).Design/methodology/approachFirst, the authors define spherical uncertain linguistic sets and develop some operational laws of SULNs. Furthermore, the authors extended these operational laws to the aggregation operator and developed spherical uncertain linguistic Hamacher averaging and geometric aggregation operators.FindingsThe authors were limited in achieving a consistent opinion on the fusion in group decision-making problem with the SULN information.Originality/valueIn order to give an application of the introduced operators, the authors first constrict a system of multi-attribute decision-making algorithm.
The challenge of skilled expatriates from the Indian subcontinent losing intellectual capital in Australia: resolving the crisis of habitus
Authors: Mohyuddin Syed , Sengupta Santoshi , Patel Parth , Prikshat Verma , Varma Arup 
Published: July 2021

PurposeThis article aims to examine the challenges faced by highly skilled expatriates (i.e. professionals and managers) from the Indian subcontinent (i.e. India and neighboring countries) as they attempt to advance their careers in Australia. Extant literature has revealed significant gaps between policies for skilled migration proposed by governments in developed countries and the response to policies by organizations in those countries. By employing the theories of habitus, disembedding, sensemaking and acculturation as frameworks for analysis, the authors explore and explain how these expatriates settle and integrate into their new lives and careers as they resolve their experience of habitus.Design/methodology/approachThis study employed phenomenology and narrative research techniques using 21 in-depth, semistructured interviews with expatriate professionals from India, Pakistan, Sri Lanka and Bangladesh to explore and examine their expatriation experiences and their occupational progress in Australia.FindingsThe findings reveal that on migrating to Australia, expatriate professionals are uprooted from their home country habitus and thrust into new conditions that cause them to lose their cultural, economic, intellectual and social capital, which further leads them into a state of “disembeddedness.” These highly skilled expatriates then rely on sensemaking and acculturation to resolve their crisis of habitus. The authors also found that gender is a significant factor in this process, as female expatriates faced more career-related barriers compared to their male counterparts.Originality/valueThis article brings into focus previously unexamined avenues of expatriation research and proposes a novel theoretical framework that is instrumental in explaining the settlement and integration process of highly skilled professionals from emerging nations.
Modelling the priority attributes of customer loyalty in Philippine single-dish restaurants
Authors: Padillo Jr Clotildo , Go Noella , Manreal Pacco , Samson Samuel , Galli Brian , Yamagishi Kafferine , Promentilla Michael Angelo , Ocampo Lanndon 
Published: July 2021

Purpose
Despite the growing trend for single-dish restaurants in the Philippines, understanding customer loyalty for this subsector is scarce in the current literature. To address such a gap, this paper aims to identify attributes and their sub-attributes that contribute to customer loyalty for single-dish restaurants.

Design/methodology/approach
Using the analytic hierarchy process, the priorities of these attributes in achieving customer loyalty were generated from a group of expert decision-makers. A representative case study in the Philippines with an emerging market trend for single-dish restaurants was conducted.

Findings
Findings show that “value” is the most crucial attribute in achieving customer loyalty, followed by “food” and “service” attributes, which are straightforward implications of single-dish restaurants. More strikingly, the “atmosphere” attribute ranks last in the priority list, which may mean that customers consider fancy environments with less priority when dining in these types of restaurants. In the priority sub-attributes, “dining experience” and “tastiness” came up on top of the list, with the “music” attribute ranking last. These findings are crucial inputs to inform the design of strategies that would enhance the customer base.

Originality/value
This study reports the first attempt to rigorously analyze single-dish restaurants, which gain little attention in the current literature, yet an emerging type of restaurant, especially in developing economies. With significant differences in many aspects of mainstream restaurants, customer loyalty attributes may be different. This paper determines the list of priority attributes and sub-attributes of customer loyalty for Philippine single-dish restaurants. Identifying these priority attributes contributes to the extant literature by offering valuable insights for relevant decision-makers in gaining competitive advantage within their market niches.
Prioritizing the barriers to tourism growth in rural India: an integrated multi-criteria decision making (MCDM) approach
Authors: Jena R.K. , Dwivedi Yogesh 
Published: July 2021

PurposeTourism is one of the upcoming service industry in India with high potentials for future growth, particularly in rural areas. Many potential barriers are affecting the growth of tourism in rural India. Therefore, it is essential to explore and prioritize the barriers to tourism growth in rural India.Design/methodology/approachQualitative and quantitative responses from “16” experts related to tourism and hospitality management from central India are collected for this study. An integrated Multi-Criteria Decision Making (MCDM) based framework is adopted to identify and relate significant barriers to tourism growth in India.FindingsThe result of the study identified many significant barriers and their importance to tourism growth in rural India.Research limitations/implicationsThe findings of this study add to the knowledge base of tourism research in line with the previous literature. This study offers an in-depth understanding of barriers focusing on rural tourism growth and devising both the plan of action and the suggestive measures in dealing with rural tourism.Originality/valueThe study provides a robust framework by integrating Interpretive Structural Modelling(ISM) and Decision Making Trial and Evaluation Laboratory (DEMATEL) to explore and prioritizing the critical barriers to rural tourism growth in India. The results of this study can help the decision-maker to fundamentally improve the economy of India through the growth of rural tourism.
The political ecology of cocoa in Ghana: Past, present and future challenges
Authors: Bryant Chris , Mitchell Matthew I. 
Published: July 2021

AbstractIn recent years, many have raised concerns regarding the need to develop sustainable practices in the cocoa sector and to prepare for impending threats associated with climate change. Although evidence suggests more needs to be done to address the environmental concerns surrounding cocoa, the sustainability of the sector cannot be understood without recognizing other socio‐economic and socio‐political factors. This paper uses a case study of Ghana—the world's second largest producer of cocoa—to problematize the often‐simplistic claims concerning the fate of the crop. While the paper draws upon a diverse disciplinary body of literature, it uses a political ecology lens to analyse the multifaceted problems facing the cocoa industry. The paper derives insights from 131 interviews conducted with a wide range of stakeholder groups in Ghana's capital (Accra) and leading cocoa‐producing regions (Ashanti and Western). The analysis reveals the need to challenge dominant narratives about the cocoa‐climate change nexus, as it highlights other threats to the sector. This includes the difficulty of securing youth labourers, the problem of “galamsey” (i.e., illegal artisanal mining), the issue of land scarcity, and the politicization of migrant workers.
Building prediction models with grouped data: A case study on the prediction of turnover intention
Authors: Yuan Shuai , Kroon Brigitte , Kramer Astrid 
Published: July 2021

AbstractThe availability of big data spurred the application of modern prediction analytics (e.g., machine learning methods) in human resource management (HRM) research and practice. Due to the novel and technical nature of prediction analytics, HR professionals and researchers may struggle to collaborate with data experts. We offer a comprehensive introduction to the logic and value of prediction methods. Moreover, we highlight the concern of treating grouped data—commonly seen in HRM research yet rarely discussed in building prediction models. We introduce different strategies to deal with grouped data in applying prediction models. The performance of different modelling approaches and prediction models are compared in an empirical data set consisting of 1454 employees from 199 small and medium sized enterprise's. Following a workflow to compare the relative performance of the prediction models, the model with the best prediction accuracy was the random‐effects bagged tree that allows for complex relationships and incorporates random effects. Following the estimates of this model, we identified the five most influential predictors of turnover intention: perceived fairness, leader‐member exchange, career opportunities, pay satisfaction and age. The inductive nature of prediction models is expected to advance theory development and HR analytics for developing effective HRM policies.
A feasibility quantitative analysis of free fatty acids in polished rice by fourier transform near‐infrared spectroscopy and chemometrics
Authors: Liu Yachao , Li Yongyu , Peng Yankun , Ma Shaojin , Yan Shuai 
Published: July 2021

AbstractFree fatty acids (FFAs) are an important indicator of the freshness and quality of rice. In this study, the vibration response of C‐H chemical bonds (‐CH3, ‐CH2, H‐C = C‐H) of FFAs in the near‐infrared region was determined by analyzing the standard reagent. In addition, the spectral data of different physical forms of rice and chemometrics, such as partial least squares (PLS), synergy interval‐PLS, and competitive adaptive reweighted sampling (CARS), were applied to develop an optimal regression model for rice FFAs determination. The performance of the FFAs model established by using the polished rice granule spectrum (PRG) combined with CARS was the best, the correlation coefficients of the calibration set and prediction set were 0.99 (root mean squared errors of the calibration = 2.00 mg/100 g) and 0.98 (root mean squared errors of the prediction = 3.21 mg/100 g), respectively, and the ratio of performance‐to‐deviation was 4.50. Compared with the rice powder spectral, the PRG spectral can better retain the information of FFAs. The result shows that NIRS can rapidly, non‐destructively, and accurately detect FFAs in rice granules, which will help rice business and food regulatory authorities to establish an early warning mechanism of rice aging.Practical ApplicationFree fatty acids (FFAs) in rice are an important indicator for evaluating the freshness of rice, and their high responsiveness to the deterioration of rice quality. The real‐time detection of FFAs in rice can timely adjust the parameters of the rice storage environment, which is very meaningful to ensure the quality of rice.