bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-cell transcriptomic analyses define distinct peripheral B cell subsets and discrete development pathways
Authors: Stewart Alexander , Ng Joseph , Wallis Gillian , Tsioligka Vasiliki , Fraternali Franca , Dunn-Walters Deborah 
Published: September 2020

AbstractSeparation of B cells into different subsets has been useful to understand their different functions in various immune scenarios. In some instances, the subsets defined by phenotypic FACS separation are relatively homogeneous and so establishing the functions associated with them is straightforward. Other subsets, such as the “Double negative” (DN, CD19+CD27-IgD-) population, are more complex with reports of differing functionality which could indicate a heterogeneous population. Recent advances in single-cell techniques enable an alternative route to characterise cells based on their transcriptome. To maximise immunological insight, we need to match prior data from phenotype-based studies with the finer granularity of the single-cell transcriptomic signatures. We also need to be able to define meaningful B cell subsets from single cell analyses performed on PBMCs, where the relative paucity of a B cell signature means that defining B cell subsets within the whole is challenging. Here we provide a reference single-cell dataset based on phenotypically sorted B cells and an unbiased procedure to better classify functional B cell subsets in the peripheral blood, particularly useful in establishing a baseline cellular landscape and in extracting significant changes with respect to this baseline from single-cell datasets. We find 10 different clusters of B cells and applied a novel, geometry-inspired, method to RNA velocity estimates in order to evaluate the dynamical transitions between B cell clusters. This indicated the presence of two main developmental branches of memory B cells. One involves IgM memory cells and two DN subpopulations, culminating in a population thought to be associated with Age related B cells and the extrafollicular response. The other branch involves a third DN cluster which appears to be a precursor of classical memory cells. In addition, we identify a novel DN4 population, which is IgE rich and on its own developmental branch but with links to the classical memory branch.
GTPBP1 resolves paused ribosomes to maintain neuronal homeostasis
Authors: Terrey Markus , Adamson Scott I. , Gibson Alana L. , Deng Tianda , Ishimura Ryuta , Chuang Jeffrey H. , Ackerman Susan L. 
Published: September 2020

AbstractRibosome-associated quality control pathways respond to defects in translational elongation to recycle arrested ribosomes and degrade aberrant polypeptides and mRNAs. Loss of an individual tRNA gene leads to ribosomal pausing that is resolved by the translational GTPase GTPBP2, and in its absence causes neuron death. Here we show that loss of the homologous protein GTPBP1 during tRNA deficiency in the mouse brain also leads to codon-specific ribosome pausing and neurodegeneration, suggesting that these non-redundant translational GTPases function in the same pathway to mitigate ribosome pausing. Ribosome stalling in the mutant brain led to activation of the integrated stress response (ISR) mediated by GCN2 and decreased mTORC1 signaling. However, in contrast to the ISR, which enhanced neuron survival, reduced mTORC1 signaling increased neuronal death. Our data demonstrate that GTPBP1 functions as an important quality control mechanism during translation elongation and suggest that translational signaling pathways intricately interact to regulate neuronal homeostasis during defective translation elongation.
Mutations in the Pectin Methyltransferase QUASIMODO2 Influence Cellulose Biosynthesis and Wall Integrity in Arabidopsis
Authors: Du Juan , Kirui Alex , Huang Shixin , Wang Lianglei , Barnes William J. , Kiemle Sarah N. , Zheng Yunzhen , Rui Yue , Ruan Mei , Qi Shiqian , Kim Seong H. , Wang Tuo , Cosgrove Daniel J. , Anderson Charles T. , Xiao Chaowen 
Published: September 2020

Abstract
Pectins are abundant in the cell walls of dicotyledonous plants, but how they interact with other wall polymers and influence wall integrity and cell growth has remained mysterious. Here, we verified that QUASIMODO2 (QUA2) is a pectin methyltransferase and determined that QUA2 is required for normal pectin biosynthesis. To gain further insight into how pectin affects wall assembly and integrity maintenance, we investigated cellulose biosynthesis, cellulose organization, cortical microtubules, and wall integrity signaling in two mutant alleles of Arabidopsis (Arabidopsis thaliana) QUA2, qua2 and tsd2. In both mutants, crystalline cellulose content is reduced, cellulose synthase particles move more slowly, and cellulose organization is aberrant. NMR analysis shows higher mobility of cellulose and matrix polysaccharides in the mutants. Microtubules in mutant hypocotyls have aberrant organization and depolymerize more readily upon treatment with oryzalin or external force. The expression of genes related to wall integrity, wall biosynthesis, and microtubule stability is dysregulated in both mutants. These data provide insights into how homogalacturonan is methylesterified upon its synthesis, the mechanisms by which pectin functionally interacts with cellulose, and how these interactions are translated into intracellular regulation to maintain the structural integrity of the cell wall during plant growth and development.
Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance
Authors: Seclen-Luna Jean Pierre , Opazo-Basáez Marco , Narvaiza Lorea , Moya Fernández Pablo Jose 
Published: September 2020

Purpose
This paper aims to focus on the effects of human capital composition, innovation portfolio and size on manufacturing firms’ performance. Moreover, it seeks to empirically identify the levels of education that are significant in labour productivity.

Design/methodology/approach
The resource-based view (RBV) theory is applied using data gathered from the National Innovation Survey in the Manufacturing Industries of Peru. Using the ordinary least squares method on a sample of 584 Peruvian manufacturing firms, the effects on firm performance of two subsamples according to innovation portfolio and firm size are determined.

Findings
The direct effects of human capital composition on productivity show that the higher the workers’ educational level, the higher the productivity. However, if this relationship is analysed in terms of the innovation portfolio, the authors find that labour productivity in companies with product–service innovation is greater (i.e. more significant) than in traditional manufacturing firms with only product innovations. Similarly, if this relationship is compared in terms of company, the authors find that large companies are more significant than small and medium-sized enterprises.

Practical implications
The study furthers the understanding of how the relationship between human capital composition, innovation portfolio and size of manufacturing firms positively affects labour productivity. Hence, it can help managers to craft their innovation portfolio according to the educational level of their human capital. This could require that not only human resource management innovates, but also that strategic partnerships be developed with educational establishments to boost training towards product–service innovation.

Originality/value
This study’s results provide confirmation that the configuration of human resources, innovation portfolio and size plays a significant role on manufacturing firms’ performance, particularly in the context of developing countries.
Demographic factors, compensation, job satisfaction and organizational commitment in private university: an analysis using SEM
Authors: Ashraf Mohammad Ali 
Published: September 2020

PurposeThe purpose of this paper is to examine the direct and indirect effects of demographic factors on employee compensation, job satisfaction and organizational commitment in private higher educational institutes in Bangladesh. Specifically, how do compensation structure and job satisfaction mediate in the link between demographic factors and organizational commitment? To answer this question, a theoretical framework using the theory of employee retention provided by Martin and Kaufman, as its basis was established.Design/methodology/approachData (n= 515) were collected from faculty members of the private universities in Bangladesh. Structural equation modeling was used to analyze the data.FindingsFindings indicate that though demographic factors have no direct impact on organizational commitment, they have indirect impacts on organizational commitment through the mediation of compensation structure and faculty job satisfaction. Besides, compensation structure also has a significant mediating role in the link between demographic structure and faculty job satisfaction.Research limitations/implicationsOne possible drawback is the number of private universities from which the data were collected. In the sample used here, only 20 private universities were selected to conduct the survey. Besides, the study could not include public universities that are also a significant part and parcel of higher education in the country. So, if more private and public universities were taken into consideration to collect the data, the results might be improved. Thus, the usual cautions about overgeneralizing findings from this sample, to populations for which it is not strictly representative, apply.Practical implicationsFrom a practical perspective, as a cumulative body of work on organizational commitment, we will be better able to advise policymakers and educators on the elements they need to address to increase the longer engagement of the faculty members in their institutes. In this study, the one area of findings that may help policymakers and educators the most concerns compensation package that affects job satisfaction and organizational commitment. We found that demographic factors and compensation packages are the most important factors for the faculty members to impact on organizational commitment in this study.Social implicationsThe social implication is that policymakers of the private universities can focus on fair justice in terms of demographic factors and compensation package for job satisfaction, motivation and organizational commitment of the faculty members in their universities.Originality/valueThe findings of the study are important for the policymakers of the higher education institutes.
The effect of green CSR skepticism on positive attitude, reactance, and behavioral intention
Authors: Kwon Jookyung , Ahn Jiseon 
Published: September 2020

PurposeThis paper aims to examine the impact of corporate social responsibility (CSR) skepticism on dual types of attitudinal factors (i.e. positive attitude and reactance) and examine the impact of attitudinal factors on customers' behavioral intention.Design/methodology/approachThis study applies mixed-method research to examine the link between CSR skepticism, positive attitude, reactance and behavioral intention based on attitude-behavior-context theory.FindingsAs predicted, CSR skepticism weakens a favorable attitude toward CSR, whereas it increases the level of reactance. Also, CSR skepticism negatively influences behavioral intention, while positive attitude and reactance positively influence behavioral intention.Originality/valueUnderstanding customers' skepticism toward CSR has become increasingly important because of its negative consequences. Despite existing studies on CSR skepticism, few have focused on why and how CSR skepticism leads to negative behavioral outcomes. Thus, this research contributes to existing tourism literature by examining the role of CSR skepticism on their attitude and behavior. Findings will help researchers and practitioners understand how CSR skepticism impacts customers' behavioral intention and develops CSR strategies to enhance the behavioral intention to patronize.
Social identity theory and leader–member exchange: individual, dyadic and situational factors affecting the relationship between leader–member exchange and job performance
Authors: Thrasher Gregory , Dickson Marcus , Biermeier-Hanson Benjamin , Najor-Durack Anwar 
Published: September 2020

Purpose
This study aims to integrate social identity and leader–member exchange (LMX) theory to investigate the processes and boundary conditions around LMX–performance relationships. Through the application of two leader–follower subsamples, the authors test three main objectives. What is the effect of multi-dimensional dyad value-congruence on LMX and how does congruence on these dimensions differentially influence leader and follower perceptions of LMX? In a subsample of followers including supervisor-rated performance, the authors develop a model that examines how individual values moderate the effect of dyad contact on supervisor-rated job performance mediated by follower LMX.

Design/methodology/approach
The participants for this study include graduate and undergraduate social work students who were taking part in a one-year work placement within a social work organization as well as their immediate supervisors. Across a four-month period, participants filled out measures of their supervisor contact, work values and LMX. Supervisor-rated performance was also included.

Findings
Findings from the dyadic subsample show that growth value congruence is a predictor of follower-rated LMX, with value congruence across all values having no effect on leader-rated LMX. Within a subsample of followers, findings suggest that follower-rated LMX mediates the relationship between dyad contact and supervisor-rated job performance, with individual work values moderating this effect.

Originality/value
The current study offers several contributions to the literature on LMX and job performance. First, in this study’s dyadic leader–follower sample, the authors extend propositions made by social identity theory around value congruence and LMX by offering support for a multi-dimensional and multi-target approach to questions of values and LMX. Second, within this study’s larger non-dyadic sample, the authors offer insights into previous conflicting findings around dyad contact and LMX, by offering support for the indirect effect of dyad contact on supervisor-rated performance via LMX. Third, within this second sample, the authors also extend the literature on values and LMX to show that the process through which LMX influences job performance is dependent on follower values.
Watch me go big: CEO narcissism and corporate acquisitions
Authors: Aabo Tom , Als Mikkel , Thomsen Lars , Wulff Jesper N. 
Published: September 2020

PurposeThe purpose of this paper is to investigate the role of CEO narcissism in corporate acquisitions with a focus on frequency and size and furthermore to examine the subsequent stock market reaction.Design/methodology/approachThe authors investigate 751 acquisitions made by 158 UK nonfinancial firms and 202 CEOs in the 10-year period 2007–2016. The authors use the ratio of first-person singular pronouns to total first-person pronouns in CEO speech as the main proxy for CEO narcissism but the results are robust to the use of signature size and picture as alternative measures.FindingsThe authors find that increased CEO narcissism is associated with an increase in M&A expenditures, an increase in deal size and a decrease in deal frequency. Thus, the authors find that narcissistic CEOs favor size over frequency (“go big”). Furthermore, the authors find that the stock market reacts less favorably to acquisitions announced by firms run by narcissistic CEOs.Originality/valueThe paper contributes to upper echelon research by investigating the association between CEO narcissism and corporate decisions in a UK setting. More specifically, the paper contributes to the existing literature by investigating how CEO narcissism is associated with corporate acquisitions in terms of the size and frequency of deals and how such irrational behavior is penalized by the stock market. Previous literature has focused on the more broad association between CEO narcissism and M&A expenditures.
Developing a building performance score model for assessing the sustainability of buildings
Authors: HP Thanu , C Rajasekaran , MD Deepak 
Published: September 2020

PurposeConstruction industry is one of the leading causes of pollution generation in today's context. But the fact that the development of construction industry leads to the country's economic and social development cannot be unobserved. Hence, there is a need to develop a sustainable construction methodology, and while doing so, measures must be considered so as to not disturb the natural habitats. With the greater prominence shown toward the concept of green and sustainable construction developments, various tools have been developed in recent years in order to measure the performance of such sustainable and green buildings. In the Indian context, the assessment tools developed to measure the performance of the green building are found to be scanty in addressing various economic and social impacts.Design/methodology/approachThis study aims at developing a building performance score (BPS) model concerning the sustainability model built on the triple bottom priorities considering all the three vital components, viz. environmental, economic and social factors. In this study, the different phases involved in the complete life cycle of the project are recognized and then all the phases are assessed considering all the three major components mentioned in the BPS model.FindingsThe outcome of this study specifies that various indicators, such as the topographical and climate change, health and safety of the construction workers, project management consultancy, risk management, security measures and solid waste management, form a chief source of a sustainable building, and these indicators are not being assessed in the existing assessment tools. Also, consideration of environmental, economic and social factors is also equally important in construction industry. Moreover, these indicators are also required to be assessed and included in the evaluation process while assessing the performance of the building.Originality/valueThe BPS model developed in the study will assist to improve in assessing the building performance with respect to all indicators in the complete life cycle of the project.
Optimisation of bottling process using “hard” total quality management elements
Authors: Oji Benjamin Chukudi , Oke Sunday Ayoola 
Published: September 2020

PurposeThere is growing evidence of a knowledge gap in the association of maintenance with production activities in bottling plants. Indeed, insights into how to jointly optimise these activities are not clear. In this paper, two optimisation models, Taguchi schemes and response surface methodology are proposed.Design/methodology/approachBorrowing from the “hard” total quality management elements in optimisation and prioritisation literature, two new models were developed based on factor, level and orthogonal array selection, signal-to-noise ratio, analysis of variance and optimal parametric settings as Taguchi–ABC and Taguchi–Pareto. An additional model of response surface methodology was created with analysis on regression, main effects, residual plots and surface plots.FindingsThe Taguchi S/N ratio table ranked planned maintenance as the highest. The Taguchi–Pareto shows the optimal parametric setting as A4B4C1 (28 h of production, 30.56 shifts and 37 h of planned maintenance). Taguchi ABC reveals that the planned maintenance and number of shifts will influence the outcome of production greatly. The surface regression table reveals that the production hours worked decrease at a value of planned maintenance with a decrease in the number of shifts.Originality/valueThis is the first time that joint optimisation for bottling plant will be approached using Taguchi–ABC and Taguchi–Pareto. It is also the first time that response surface will be applied to optimise a unique platform of the bottling process plant.
Dermoscopy image‐based self‐learning on computer improves diagnostic performance of medical students compared with classroom‐style lecture in ultra‐short period
Authors: Minagawa Akane , Mikoshiba Yasutomo , Koga Hiroshi , Okuyama Ryuhei 
Published: September 2020

AbstractThe educational effectiveness of dermoscopy image‐based self‐learning on a computer for medical students has not been well examined. To assess the effect of an image‐based self‐learning session on the dermoscopic diagnostic performance for malignant melanoma (MM), basal cell carcinoma, melanocytic nevus and seborrheic keratosis (SK) on non‐acral regions in comparison with a conventional classroom‐style lecture, 114 fourth‐year medical students (mean age, 23.7 years; male : female, 73:41) were enrolled. The subjects were randomly assigned to either a self‐learning to lecture (SL) or lecture to self‐learning (LS) group to receive a 15‐min image‐based self‐learning computer session and a 15‐min video lecture session in different orders. The user interface of the digital content was the same as that on a website (https://dz‐image.casio.jp). Diagnostic performance was determined using the total number of correct answers for the four diseases and by malignancy prediction in examination A (before training), B (after receiving one session) and C (after receiving both sessions). The examinations were all unique and contained five dermoscopic images each of the four diseases. The total number of correct answers and malignancy prediction results for examination B were significantly higher in the SL group than in LS (11.6 and 15.2 vs 10.1 and 13.4, respectively; both P < 0.01), with no remarkable differences for examination C (13.5 and 16.8 vs 13.3 and 16.4, respectively; P = 0.62 and P = 0.21). In subanalyses, the number of correct answers for SK in examination B was significantly higher in the SL group (3.6 vs. 1.8, P < 0.01), while that for MM was significantly lower (2.2 vs 3.0, P < 0.01). Diagnostic performance was comparable between sexes for examination B. In conclusion, computer‐assisted dermoscopy image‐based self‐learning may be a suitable and non‐inferior alternative to classroom‐style instruction for medical students within an ultra‐short training period.
Clinical analysis of macrophage activation syndrome in adult rheumatic disease: A multicenter retrospective study
Authors: Ke Yao , Lv Chengyin , Xuan Wenhua , Wu Jian , Da Zhanyun , Wei Hua , Zhang Miaojia , Tan Wenfeng 
Published: September 2020

AbstractAimTo evaluate the clinical and laboratory characteristics, prognostic factors, and outcome of adult rheumatic disease‐associated macrophage activation syndrome (MAS).MethodA multicenter retrospective study was performed across 4 tertiary hospitals in China between January 1, 2017 to December 31, 2019.ResultsThere were 61 rheumatic disease patients with MAS enrolled into this retrospective clinical study. Fever and hyperferritinemia are the most frequent clinical feature and laboratory abnormality in MAS patients. Serum ferritin > 6000 ng/mL (odds ratio [OR] = 9.46, 95% CI = 2.53‐47.13, P = .005) and hemophagocytosis in bone marrow smear (OR = 11.12, 95%, CI = 3.29‐50.65, P = .001) were the 2 most prominent predictive factors indicating MAS occurrence. The 90‐day all‐cause mortality rate of all rheumatic disease patients with MAS was 22.9% (hazards ratio [HR] = 2.15, 95% CI = 0.81‐6.78, P = .05). Platelets < 100 × 109/L (HR = 3.23, 95% CI = 2.51‐4.81, P = .01) and ferritin > 6000ng/mL (HR = 6.12, 95% CI = 2.93‐16.27, P = .005) were independent predictors of poor outcome in rheumatic disease‐associated MAS.ConclusionMacrophage activation syndrome could be a fatal complication in rheumatic disease. Patients presenting with unexplained fever, serum ferritin > 6000 ng/mL, hepatosplenomegaly and cytopenia at baseline should raise the suspicion of MAS. The presence of serum ferritin > 6000 ng/mL, hepatosplenomegaly and low number of platelets was associated with poor outcome.