bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors influencing the COVID-19 daily deaths peak across European countries
Authors: Jabłońska Katarzyna , Aballéa Samuel , Toumi Mondher
Published: November 2020

OBJECTIVES

The purpose of this study was to determine predictors of the height of COVID-19 daily deaths peak and time to the peak, in order to explain their variability across European countries.

STUDY DESIGN

For 34 European countries, publicly available data were collected on daily numbers of COVID-19 deaths, population size, healthcare capacity, government restrictions and their timing, tourism and change in mobility during the pandemic.

METHODS

Univariate and multivariate generalised linear models using different selection algorithms (forward, backward, stepwise and genetic algorithm) were analysed with height of COVID-19 daily deaths peak and time to the peak as dependent variables.

RESULTS

The proportion of the population living in urban areas, mobility at the day of first reported death and number of infections when borders were closed were assessed as significant predictors of the height of COVID-19 daily deaths peak. Testing the model with variety of selection algorithms provided consistent results. Total hospital bed capacity, population size, number of foreign travellers and day of border closure, were found as significant predictors of time to COVID-19 daily deaths peak.

CONCLUSIONS

Our analysis demonstrated that countries with higher proportions of the population living in urban areas, with lower reduction in mobility at the beginning of the pandemic, and countries which closed borders having more infected people experienced higher peak of COVID-19 deaths. Greater bed capacity, bigger population size and later border closure could result in delaying time to reach the deaths peak, whereas a high number of foreign travellers could accelerate it.
Early survey with bibliometric analysis on machine learning approaches in controlling coronavirus
Authors: Chiroma Haruna , Ezugwu Absalom E. , Jauro Fatsuma , Al-Garadi Mohammed A. , Abdullahi Idris N. , Shuib Liyana
Published: November 2020

Background and Objective

The COVID-19 pandemic has caused severe mortality across the globe with the USA as the current epicenter, although the initial outbreak was in Wuhan, China. Many studies successfully applied machine learning to fight the COVID-19 pandemic from a different perspective. To the best of the authors’ knowledge, no comprehensive survey with bibliometric analysis has been conducted on the adoption of machine learning for fighting COVID-19. Therefore, the main goal of this study is to bridge this gap by carrying out an in-depth survey with bibliometric analysis on the adoption of machine-learning-based technologies to fight the COVID-19 pandemic from a different perspective, including an extensive systematic literature review and a bibliometric analysis.

Methods

A literature survey methodology is applied to retrieve data from academic databases, and a bibliometric technique is subsequently employed to analyze the accessed records. Moreover, the concise summary, sources of COVID-19 datasets, taxonomy, synthesis, and analysis are presented. The convolutional neural network (CNN) is found mainly utilized in developing COVID-19 diagnosis and prognosis tools, mostly from chest X-ray and chest computed tomography (CT) scan images. Similarly, a bibliometric analysis of machine-learning-based COVID-19-related publications in Scopus and Web of Science citation indexes is performed. Finally, a new perspective is proposed to solve the challenges identified as directions for future research. We believe that the survey with bibliometric analysis can help researchers easily detect areas that require further development and identify potential collaborators.

Results

The findings in this study reveal that machine-learning-based COVID-19 diagnostic tools received the most considerable attention from researchers. Specifically, the analyses of the results show that energy and resources are more dispensed toward COVID-19 automated diagnostic tools, while COVID-19 drugs and vaccine development remain grossly underexploited. Moreover, the machine-learning-based algorithm predominantly utilized by researchers in developing the diagnostic tool is CNN mainly from X-rays and CT scan images.

Conclusions

The challenges hindering practical work on the application of machine-learning-based technologies to fight COVID-19 and a new perspective to solve the identified problems are presented in this study. We believe that the presented survey with bibliometric analysis can help researchers determine areas that need further development and identify potential collaborators at author, country, and institutional levels to advance research in the focused area of machine learning application for disease control.
A quick and cost-effective method for DNA-free total RNA isolation using magnetic silica beads
Authors: Das Aniruddha , Das Debojyoti , Das Arundhati , Panda Amaresh C.
Published: November 2020

Current RNA purification methods widely use silica-based columns that allow quick isolation of high-quality and good quantities of RNA. However, the major limitations include high cost, the requirement of different kits for small RNA isolation, genomic DNA contamination, and not being flexible. Here, we used the in-house RNA isolation reagent (RIR) for cell lysis, followed by RNA precipitation using isopropanol. RNA isolated using the in-house RIR resulted in a similar quantity and quality compared to the commercial TRIzol. Furthermore, the commercial RNA isolation kits with silica-based columns recommend genomic DNA digestion during or after RNA purification, adding time and cost to RNA purification. Here, we developed an optimized in-house protocol for isolating high-quality RNA free of genomic DNA contamination using magnetic silica beads without needing DNase digestion. Additionally, our method purifies total RNA along with the small RNA fraction, including miRNAs, which usually require a separate kit for extraction. Additionally, the RNA prepared with our method was equally suitable for mRNA and miRNA expression analysis using RT-qPCR. Together, the in-house method of RNA isolation using the magnetic silica beads has exhibited comparable or better total RNA extraction compared to commercial kits at a fraction of the cost and across various cells and tissues.
Loss ofCnot6limpairs inosine RNA modifications in mouse oocytes
Authors: Brachova Pavla , Alvarez Nehemiah S. , Christenson Lane K.
Published: November 2020

Mammalian oocytes must degrade maternal transcripts through a process called translational mRNA decay, in which maternal mRNA undergoes translational activation, followed by deadenylation and mRNA decay. Once a transcript is translationally activated, it becomes deadenylated by the CCR4-NOT complex. Knockout ofCnot6l, a deadenylase within the CCR4-NOT complex, results in mRNA decay defects during MI entry. Knockout ofBtg4, an adaptor protein of the CCR4-NOT complex, results in mRNA decay defects following fertilization. Therefore, mechanisms controlling mRNA turnover have significant impacts on oocyte competence and early embryonic development. Post-transcriptional inosine RNA modifications can impact mRNA stability, possibly through a translation mechanism. Here, we assessed inosine RNA modifications in oocytes fromCnot6l-/-andBtg4-/-mice, which display stabilization of mRNA and over-translation of the stabilized transcripts. If inosine modifications have a role in modulating RNA stability, we hypothesize that in these mutant backgrounds, we would observe changes or a disruption in inosine mRNA modifications. To test this, we used a computational approach to identify inosine RNA modifications in total and polysomal RNA-seq data during meiotic maturation (GV, MI, and MII stages). We observed pronounced depletion of inosine mRNA modifications in oocytes fromCnot6l-/-, but not inBtg4-/-mice. Additionally, analysis of ribosome-associated RNA revealed clearance of inosine modified mRNA. These observations suggest a novel mechanism of mRNA clearance during oocyte maturation, in which inosine-containing transcripts decay in an independent, but parallel mechanism to CCR4-NOT deadenylation.
SARS-CoV-2 Infects Human Engineered Heart Tissues and Models COVID-19 Myocarditis
Authors: Bailey Adam L. , Dmytrenko Oleksandr , Greenberg Lina , Bredemeyer Andrea L. , Ma Pan , Liu Jing , Penna Vinay , Lai Lulu , Winkler Emma S. , Sviben Sanja , Brooks Erin , Nair Ajith P. , Heck Kent A. , Rali Aniket S. , Simpson Leo , Saririan Mehrdad , Hobohm Dan , Stump W. Tom , Fitzpatrick James A. , Xie Xuping , Shi Pei-Yong , Hinson J. Travis , Gi Weng-Tein , Schmidt Constanze , Leuschner Florian , Lin Chieh-Yu , Diamond Michael S. , Greenberg Michael J. , Lavine Kory J.
Published: November 2020

Epidemiological studies of the COVID-19 pandemic have revealed evidence of cardiac involvement and documented that myocardial injury and myocarditis are predictors of poor outcomes. Nonetheless, little is understood regarding SARS-CoV-2 tropism within the heart and whether cardiac complications result directly from myocardial infection. Here, we develop a human engineered heart tissue model and demonstrate that SARS-CoV-2 selectively infects cardiomyocytes. Viral infection is dependent on expression of angiotensin-I converting enzyme 2 (ACE2) and endosomal cysteine proteases, suggesting an endosomal mechanism of cell entry. After infection with SARS-CoV-2, engineered tissues display typical features of myocarditis, including cardiomyocyte cell death, impaired cardiac contractility, and innate immune cell activation. Consistent with these findings, autopsy tissue obtained from individuals with COVID-19 myocarditis demonstrated cardiomyocyte infection, cell death, and macrophage-predominate immune cell infiltrate. These findings establish human cardiomyocyte tropism for SARS-CoV-2 and provide an experimental platform for interrogating and mitigating cardiac complications of COVID-19.
Innervation modulates the functional connectivity between pancreatic endocrine cells
Authors: Yang Yu Hsuan Carol , Briant Linford J.B. , Raab Christopher , Mullapudi Sri Teja , Maischein Hans-Martin , Kawakami Koichi , Stainier Didier Y.R.
Published: November 2020

Direct modulation of pancreatic endocrine cell activity by autonomic innervation has been debated. To resolve this question, we established anin vivoimaging model which also allows chronic and acute neuromodulation. Starting at a stage when zebrafish islet architecture is reminiscent of that in adult rodents, we imaged calcium dynamics simultaneously in multiple islet cell types. We first find that activity coupling between beta cells increases upon glucose exposure. Surprisingly, glucose exposure also increases alpha-alpha, alpha-beta and beta-delta coordination. We further show that both chronic and acute loss of nerve activity diminish activity coupling, as observed upon gap junction depletion. Notably, chronic loss of innervation severely disrupts delta cell activity, suggesting that delta cells receive innervation which coordinates its output. Overall, these data show that innervation plays a vital role in the establishment and maintenance of homotypic and heterotypic cellular connectivity in pancreatic islets, a process critical for islet function.
Condensin extrudes DNA loops in steps up to hundreds of base pairs that are generated by ATP binding events
Authors: Ryu Je-Kyung , Rah Sang-Hyun , Janissen Richard , Kerssemakers Jacob W. J. , Bonato Andrea , Michieletto Davide , Dekker Cees
Published: November 2020

The condensin SMC protein complex organizes chromosomal structure by extruding loops of DNA. Its ATP-dependent motor mechanism remains unclear but likely involves steps associated with large conformational changes within the ~50 nm protein complex. Here, using high-resolution magnetic tweezers, we resolve single steps in the loop extrusion process by individual yeast condensins. The measured median step sizes range between 20-40 nm at forces of 1.0-0.2 pN, respectively, comparable with the holocomplex size. These large steps show that, strikingly, condensin typically reels in DNA in very sizeable amounts with ~200 bp on average per single extrusion step at low force, and occasionally even much larger, exceeding 500 bp per step. Using Molecular Dynamics simulations, we demonstrate that this is due to the structural flexibility of the DNA polymer at these low forces. Using ATP-binding-impaired and ATP-hydrolysis-deficient mutants, we find that ATP binding is the primary step-generating stage underlying DNA loop extrusion. We discuss our findings in terms of a scrunching model where a stepwise DNA loop extrusion is generated by an ATP-binding-induced engagement of the hinge and the globular domain of the SMC complex.
A biologically oriented algorithm for spatial sound segregation
Authors: Chou Kenny F , Best Virginia , Colburn H Steven , Sen Kamal
Published: November 2020

Listening in an acoustically cluttered scene remains a difficult task for both machines and hearing-impaired listeners. Normal-hearing listeners accomplish this task with relative ease by segregating the scene into its constituent sound sources, then selecting and attending to a target source. An assistive listening device that mimics the biological mechanisms underlying this behavior may provide an effective solution for those with difficulty listening in acoustically cluttered environments (e.g., a cocktail party). Here, we present a binaural sound segregation algorithm based on a hierarchical network model of the auditory system. In the algorithm, binaural sound inputs first drive populations of neurons tuned to specific spatial locations and frequencies. Lateral inhibition then sharpens the spatial response of the neurons. Finally, the spiking response of neurons in the output layer are then reconstructed into audible waveforms via a novel reconstruction method. We evaluate the performance of the algorithm with psychoacoustic measures of normal-hearing listeners. This two-microphone algorithm is shown to provide listeners with perceptual benefit similar to that of a 16-microphone acoustic beamformer in a difficult listening task. Unlike deep-learning approaches, the proposed algorithm is biologically interpretable and does not need to be trained on large datasets. This study presents a biologically based algorithm for sound source segregation as well as a method to reconstruct highly intelligible audio signals from spiking models.

Author Summary

Animal and humans can navigate complex auditory environments with relative ease, attending to certain sounds while suppressing others. Normally, various sounds originate from various spatial locations. This paper presents an algorithmic model to perform sound segregation based on how animals make use of this spatial information at various stages of the auditory pathway. We showed that the performance of this two-microphone algorithm provides as much benefit to normal-hearing listeners a multi-microphone algorithm. Unlike mathematical and machine-learning approaches, our model is fully interpretable and does not require training with large datasets. Such an approach may benefit the design of machine hearing algorithms. To interpret the spike-trains generated in the model, we designed a method to recover sounds from model spikes with high intelligibility. This method can be applied to spiking neural networks for audio-related applications, or to interpret each node within a spiking model of the auditory cortex.
Repurposing chloramphenicol acetyltransferase for a robust and efficient designer ester biosynthesis platform
Authors: Seo Hyeongmin , Lee Jong-Won , Giannone Richard J. , Dunlap Noah J. , Trinh Cong T.
Published: November 2020

Robust and efficient enzymes are essential modules for metabolic engineering and synthetic biology strategies across biological systems to engineer whole-cell biocatalysts. By condensing an acyl-CoA and an alcohol, alcohol acyltransferases (AATs) can serve as an interchangeable metabolic module for microbial biosynthesis of a diverse class of ester molecules with broad applications as flavors, fragrances, solvents, and drop-in biofuels. However, the current lack of robust and efficient AATs significantly limits their compatibility with heterologous precursor pathways and microbial hosts. Through bioprospecting and rational protein engineering, we identified and repurposed chloramphenicol acetyltransferases (CATs) from mesophilic prokaryotes to function as robust and efficient AATs compatible with at least 21 alcohol and 8 acyl-CoA substrates for microbial biosynthesis of linear, branched, saturated, unsaturated and/or aromatic esters. By plugging the best engineered CAT (CATec3 Y20F) into the gram-negative mesophilic bacteriumEscherichia coli, we demonstrated that the recombinant strain could effectively convert various alcohols into desirable esters, for instance, achieving a titer of 13.9 g/L isoamyl acetate with 95% conversion by fed-batch fermentation. The recombinantE. coliwas also capable of simulating the ester profile of roses with high conversion (> 97%) and titer (> 1 g/L) from fermentable sugars at 37°C. Likewise, a recombinant gram-positive, cellulolytic, thermophilic bacteriumClostridium thermocellumharboring CATec3 Y20F could produce many of these esters from recalcitrant cellulosic biomass at elevated temperatures (>50°C) due to the engineered enzyme’s remarkable thermostability. Overall, the engineered CATs can serve as a robust and efficient platform for designer ester biosynthesis from renewable and sustainable feedstocks.
N6-methyladenosine modification of HIV-1 RNA evades RIG-I-mediated sensing to suppresses type-I interferon induction in monocytic cells
Authors: Chen Shuliang , Kumar Sameer , Tirumuru Nagaraja , Welch Jennifer L. , Hu Lulu , He Chuan , Stapleton Jack T. , Wu Li
Published: November 2020

N6-methyladenosine (m6A) is a prevalent RNA modification that plays a key role in regulating eukaryotic cellular mRNA functions. RNA m6A modification is regulated by two groups of cellular proteins, writers and erasers that add or remove m6A, respectively. HIV-1 RNA contains m6A modifications that modulate viral infection and gene expression in cells. However, it remains unclear whether m6A modifications of HIV-1 RNA modulate innate immune responses in cells or HIV-1-infected individuals. Here we show that m6A modification of HIV-1 RNA suppresses the expression of antiviral cytokine type-I interferon (IFN-I) in human monocytic cells. Transfection of differentiated monocytic cells with HIV-1 RNA fragments containing a single m6A-modification significantly reduced IFN-I mRNA expression relative to their unmodified RNA counterparts. We generated HIV-1 with altered RNA m6A levels by manipulating the expression of the m6A erasers or pharmacological inhibition of m6A addition in virus-producing cells. RNA transfection and viral infection of differentiated monocytic cells demonstrated that HIV-1 RNA with decreased m6A levels enhanced IFN-I expression, whereas HIV-1 RNA with increased m6A modifications had opposite effects. Our mechanistic studies revealed that m6A of HIV-1 RNA escaped the RIG-I-mediated RNA sensing and activation of the transcription factors IRF3 and IRF7 that drive IFN-I gene expression. Moreover, RNA of peripheral blood mononuclear cells from HIV-1 viremic patients showed increased m6A levels that correlated with increasedIFN-ImRNA expression compared to levels from HIV-1-suppressed patients on antiretroviral therapy. Together, our results suggest that RNA m6A modifications regulate viral replication and antiviral innate immune responses in HIV-1-infected individuals.

Author Summary

HIV-1 is known as a weak inducer of antiviral cytokines including IFN-I, but it is unclear how HIV-1 evades innate immunity. Different types of RNA modifications including m6A within the HIV-1 genome modulate viral replication; however, the role of m6A modifications of HIV-1 RNA in regulating innate immune responses remains elusive. In this study, we found that HIV-1 RNA modified with m6A suppresses the expression of IFN-I in differentiated monocytic cells by avoiding innate immune detection of viral RNA mediated by RIG-I, an RNA sensor in host cells. We also observed significantly increased RNA m6A modifications of peripheral blood mononuclear cells from HIV-1 viremic patients compared to virally suppressed patients on combined antiretroviral therapy, suggesting a functional link between m6A modifications and antiretroviral treatment. Investigating the functions of m6A modifications of HIV-1 RNA in regulating innate immune sensing and IFN-I induction in monocytic cells can help understand the mechanisms of HIV-1 persistence.
Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Regulatory Genomics
Authors: Zhou Hannah , Shrikumar Avanti , Kundaje Anshul
Published: November 2020

Predictive models mapping double-stranded DNA to signals of regulatory activity should, in principle, produce analogous (or “equivariant”) predictions whether the forward strand or its reverse complement (RC) is supplied as input. Unfortunately, standard neural networks can produce highly divergent predictions across strands, even when the training set is augmented with RC sequences. Two strategies have emerged to enforce equivariance: conjoined/“siamese” architectures, and RC parameter sharing or RCPS. However, the connections between the two remain unclear, comparisons to strong baselines are lacking, and neither has been adapted to base-resolution signal profile prediction. Here we extend conjoined & RCPS models to base-resolution signal prediction, and introduce a strong baseline: a standard model (trained with RC data augmentation) that is made conjoined only after training, which we call “post-hoc” conjoined. Through benchmarks on diverse tasks, we find post-hoc conjoined consistently performs best or second-best, surpassed only occasionally by RCPS, and never underperforms conjoined-during-training. We propose an overfitting-based hypothesis for the latter finding, and study it empirically. Despite its theoretical appeal, RCPS shows mediocre performance on several tasks, even though (as we prove) it can represent any solution learned by conjoined models. Our results suggest users interested in RC equivariance should default to post-hoc conjoined as a reliable baseline before exploring RCPS. Finally, we present a unified description of conjoined & RCPS architectures, revealing a broader class of models that gradually interpolate between RCPS and conjoined while maintaining equivariance.
Poised cell circuits in human skin are activated in disease
Authors: Reynolds Gary , Vegh Peter , Fletcher James , Poyner Elizabeth F.M. , Stephenson Emily , Goh Issac , Botting Rachel A. , Huang Ni , Olabi Bayanne , Dubois Anna , Dixon David , Green Kile , Maunder Daniel , Engelbert Justin , Efremova Mirjana , Polański Krzysztof , Jardine Laura , Jones Claire , Ness Thomas , Horsfall Dave , McGrath Jim , Carey Christopher , Popescu Dorin-Mirel , Webb Simone , Wang Xiao-nong , Sayer Ben , Park Jong-Eun , Negri Victor A. , Belokhvostova Daria , Lynch Magnus , McDonald David , Filby Andrew , Hagai Tzachi , Meyer Kerstin B. , Husain Akhtar , Coxhead Jonathan , Vento-Tormo Roser , Behjati Sam , Lisgo Steven , Villani Alexandra-Chloé , Bacardit Jaume , Jones Phil , O’Toole Edel A. , Ogg Graham S. , Rajan Neil , Reynolds Nick J. , Teichmann Sarah A. , Watt Fiona , Haniffa Muzlifah
Published: November 2020

The human skin confers biophysical and immunological protection through a complex cellular network that is established early in development. We profiled ~500,000 single cells using RNA-sequencing from healthy adult and developing skin, and skin from patients with atopic dermatitis and psoriasis. Our findings reveal a predominance of innate lymphoid cells and macrophages in developing skin in contrast to T cells and migratory dendritic cells in adult skin. We demonstrate dual keratinocyte differentiation trajectories and activated cellular circuits comprising vascular endothelial cells mediating immune cell trafficking, disease-specific clonally expandedIL13/IL22andIL17A/F-expressing lymphocytes, epidermalIL23-expressing dendritic cells and inflammatory keratinocytes in disease. Our findings provide key insights into the dynamic cellular landscape of human skin in health and disease.

One Sentence Summary

Single cell atlas of human skin reveals cell circuits which are quantitatively and qualitatively reconfigured in inflammatory skin disease.
Environmental performance in manufacturing companies: a benchmarking study
Authors: Trujillo-Gallego Mariana , Sarache William , Sellitto Miguel Afonso
Published: November 2020

Purpose

This study aims to explore manufacturing companies' environmental performance with the green supply chain management (GSCM) approach, taking into account company size, geographic region, industrial sector, target market and environmental management maturity level.

Design/methodology/approach

Based on the literature review, five propositions were put forward. An empirical study, using survey research, was completed. The survey questionnaire was designed with 46 items, using both the literature and industry expert input. Statistical analysis was employed to test the propositions in a sample of 116 Colombian manufacturing companies.

Findings

The test results indicate that significant environmental performance differences exist, given company sizes and target markets. However, no statistical significance was found involving the geographic region or industrial sector. Significant differences were found in maturity levels between the three clusters identified: reactive, preventive and proactive. Although the companies in the proactive group performed better, they still lagged in green practices that implied integration with suppliers and customers.

Practical implications

This study provides empirical evidence regarding the profile of those manufacturing companies that achieve better environmental performance. Moreover, the results yield insights for the generation of continuous improvement processes in companies with lower performance.

Originality/value

Few empirical studies have been carried out in GSCM that integrate specific factors in the environmental performance assessment of manufacturing companies in developing countries. On the other hand, the results permit the identification of the profile of those companies with greater maturity in their environmental practices.
Prioritization of important factors towards the status of industry 4.0 implementation utilizing AHP and ANP techniques
Authors: Nimawat Dheeraj , Gidwani B.D.
Published: November 2020

Purpose

The purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques.

Design/methodology/approach

Based on a review of relevant literature, the authors recognized four criteria and 16 critical factors that have been validated by academic and industry experts. AHP and ANP models are then developed to evaluate the requirements and essential elements of the Industry 4.0 implementation. The outcomes were validated with the aid of sensitivity analysis.

Findings

The above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding the status of Industry 4.0 implementation. The two methods yielded almost identical outcomes. Both methods take into account the industry's specific needs based on their available capacity.

Practical implications

Decision-makers and specialists will use the strategies discussed in this paper to effectively include the implementation status of Industry 4.0 in their industries, based on their ability to make arrangements for proper implementation of Industry 4.0 and to concentrate on top priority factors when implementing Industry 4.0 at their workplace.

Originality/value

The contribution of this research is that it is the first to be carried out with a view to both AHP and ANP to analyze important factors regarding the implementation status of Industry 4.0 and authentication through sensitivity analysis methods; this is a recent initiative in Industry 4.0.
Intrinsic and extrinsic motivation, organizational context, employee contentment, job satisfaction, performance and intention to stay
Authors: Mardanov Ismatilla
Published: November 2020

Purpose

The purpose of the present study is to examine the determinants of employee contentment and its effects on job satisfaction, separation and performance; define employee contentment as employee happiness/enjoyment at work triggered by employee intrinsic and extrinsic motivation and organizational context; and consider employee contentment as the critical factor affecting job satisfaction.

Design/methodology/approach

The study utilizes survey data from 272 employees of Taiwanese construction companies and consulting firms in the construction industry. In confirmatory factor analysis, the items are from the short version of the Minnesota Satisfaction Questionnaire (MSQ) and a newly developed organizational context questionnaire.

Findings

The MSQ items can be considered as perceived motivators of employees. These motivators and organizational characteristics (context) as manifest variables were loaded on distinct latent variables such as extrinsic and intrinsic motivation and organizational context, all of which in turn loaded on a single latent variable – employee contentment. The latter has a positive and statistically significant impact on job satisfaction, performance and intention to stay. While employee contentment has a stronger impact on performance, job satisfaction has a stronger impact on the intention to stay.

Originality/value

The present study utilizes the MSQ satisfaction themes as intrinsic and extrinsic motivators: employees' perceived feelings before the actual work process starts (intrinsic) and work outcomes occur (extrinsic). It examines employee contentment through these perceived feelings and organizational context, providing important research and practice implications.
A Daoist perspective on leadership: reputation-building in Chinese SMEs
Authors: Li Hongqin , Jones Oswald , Harvey William S. , Yang Jie
Published: November 2020

Purpose

This article examines the influence of Daoist nothingness on leadership in growing Chinese small and medium enterprises (SMEs). Daoism is based on a “letting-go” approach through maintaining inherent openness, which challenges goal-oriented and hierarchical approaches typical of Western and Confucian leadership theories. This facilitates the cross-fertilization of ideas related to the effective management of smaller firms.

Design/methodology/approach

This study focuses on SME leaders in a group of 12 growing SMEs in the Shanghai logistics industry in China. Narrative and semi-structured interviews explored emerging aspects beyond the established model of leadership associated with reputation-building. This led to in-depth, thick descriptions, broadening our understanding of leadership and reputation-building.

Findings

SME leaders follow nothingness by continuously adopting a letting-go approach which spontaneously fosters reputation-building. By maintaining inherent openness, nothingness functions as an enabling principle that mobilizes multi-beings leading to reputation-building in unintended ways.

Research limitations/implications

A greater plurality of empirical and methodological contexts in Western and non-Western countries helps to understand the dynamics and intersection of Daoist nothingness, leadership and reputation-building.

Practical implications

SME leaders recounted how they discursively practised nothingness for extended periods in their everyday practice. The study shows the significance of nothingness for SME leaders who aspire to grow their businesses by reputation-building among salient stakeholders.

Social implications

Daoist nothingness provides insights into the distinctive approach of Chinese SME leaders and their relationships with local and distant stakeholders. By engaging in active non-action they relax pre-determined intentions and immerse themselves in the process of leading, where the connections between goals and processes are automatically animated. Such an approach differs from the top-down and goal-oriented approach to leadership adopted in many Western SMEs.

Originality/value

This paper makes two theoretical contributions. First, it indicates the powerful influence of Daoist nothingness on leadership by drawing on the broader context of entrepreneurship in Chinese SMEs. Secondly, it enriches existing concepts such as reputation by endowment and reputation borrowing by demonstrating how Daoist nothingness silently fosters both local reputation and generalized reputation.
Using robot animal companions in the academic library to mitigate student stress
Authors: Edwards Autumn , Edwards Chad , Abendschein Bryan , Espinosa Juliana , Scherger Jonathan , Vander Meer Patricia
Published: November 2020

Purpose

The purpose of this paper is to interrogate the relationship between self-reported levels of acute stress, perceived social support and interactions with robot animals in an academic library. The authors hypothesized that (1) participants would report lower stress and higher positive affect after their interaction with a robot support animal and (2) perceived supportiveness of the robot support animal would positively predict the amount of stress reduction the participants reported.

Design/methodology/approach

The authors hosted a robot petting zoo in the main library at a mid-sized Midwestern university during finals week. Participants were asked to rate their stress level prior to interacting with the robot pets (T1) and then after their interaction they were asked about their current stress level and the perceived supportiveness of the robot animal (T2). Data were analyzed using paired samples t-tests for the pretest and post-test scores.

Findings

The results showed a significant decrease in acute stress between T1 to T2, as well as a significant increase in happiness and relaxation. Participants reported feeling less bored and less tired after their interactions with the robot support animals. The findings also reveal that the degree to which individuals experienced a reduction in stress was influenced by their perceptions of the robot animal's supportiveness. Libraries could consider using robot pet therapy.

Originality/value

This study reveals the benefit of robot support animals to reduce stress and increase happiness of those experiencing acute stress in a library setting. The authors also introduce the concept of socially supportive contact as a type of unidirectional social support.
Contemporary urban utopia, a query trapped in the capitalist kaleidoscope
Authors: Allahham Abeer
Published: November 2020

Purpose

This paper aims to assess the contemporary paradigm of urban utopia’s ability to fulfil its goals and to evaluate its attainability in the first place. Its main question is: are contemporary urban utopias achievable? If not, is there an alternative?

Design/methodology/approach

In light of modern urban utopia’s failure to achieve the “good city/society,” skepticism regarding utopianism has prevailed. However, many scholars stress the significance of utopianism, calling for its revival. Recently, a new paradigm of urban utopia has emerged; one that stems from present capitalist urban conditions and requires resolving its ills. It puts great emphasis on rights as a means to accomplish the good society and the just city. This research critically examines contemporary urban utopia to evaluate its ability to fulfill its goals. It poses questions such as: Does capitalism facilitates achieving its goals? Could rights as a means achieve the good city/society? If not, is there an alternative? To answer these questions, a substantially different perspective, that of Islam (as a societal system), is used as a utopic paradigm that could open up new paths for developing an alternative utopia.

Findings

It is found that despite the focus of both the Islamic societal system and mainstream contemporary urban utopia is on the concept of rights, vital dissensions exist between the two models regarding the concept of rights per se. Hence, the urban utopia of the good city and society is achievable, yet, it cannot transpire within the capitalist kaleidoscope.

Originality/value

Recently, discussions on what constitutes the future city and the alternative conceptions to the (Western) post-Enlightenment approaches generally offered in the English language planning literature have been on the rise. Therefore, this paper contributes to this debate through critically assessing Western contemporary urban utopias from a non-Western perspective, that of Islam. It introduces an alternative model based on Islamic urbanism that could open doors for deeper thinking regarding the alternative future/good city.
Effect of build orientation on fracture behaviour of AlSi10Mg produced by selective laser melting
Authors: AlRedha Sultan , Shterenlikht Anton , Mostafavi Mahmoud , Van Gelderen Derreck , Lopez-Botello Omar Eduardo , Reyes Luis Arturo , Zambrano Patricia , Garza Carlos
Published: November 2020

Purpose

A key challenge found in additive manufacturing is the difficulty to produce components with replicable microstructure and mechanical performance in distinct orientations. This study aims to investigate the influence of build orientation on the fracture toughness of additively manufactured AlSi10Mg specimens.

Design/methodology/approach

The AlSi10Mg specimens were manufactured using the selective laser melting (SLM) technology. The fracture toughness was experimentally determined (under ASTM E399-09) using C(T) specimens manufactured in different orientations. The microstructure of the specimens was examined using metallography to determine the effects of grain orientation on fracture toughness.

Findings

The fracture toughness magnitude of manufactured specimens ranged between 36 and 50 MPam, which closely matched conventional bulk material and literature values regarding AlSi10Mg components. The C(T) specimens printed in the T-L orientation yielded the highest fracture toughness. The grain orientation and fracture toughness values confirm the anisotropic nature of SLM parts where the T-L-oriented specimen obtained the highest KIC value. A clear interaction between the melt pool boundaries and micro-slipping during the loading application was observed.

Originality/value

The novelty of this paper consists in elucidating the relationship between grain orientation and fracture toughness of additively manufactured AlSi10Mg specimens because of the anisotropy generated by the different melting pool boundaries and orientations in SLM. The findings show that melt pool boundaries can behave as easier pathways for cracks to propagate and subsequently reduce the fracture toughness of specimens with cracks perpendicular to the build direction.
Relations of copying skills to Korean word reading and spelling among Korean kindergartners
Authors: Cho Jeung‐Ryeul
Published: November 2020

Background

Recent research suggests that diverse types of copying, including pure copying, copying fluency and delayed copying, contributed to children's spelling of Chinese characters and English words but not to word recognition. This study examined the relations of pure copying, copying fluency and delayed copying to beginning word reading and spelling in Korean Hangul.

Methods

One hundred and five Korean kindergarten children aged 5 and 6 years were tested on pure copying of unfamiliar print of Vietnamese, copying fluency and delayed copying of Korean Gulja (written syllable) and cognitive skills including nonverbal reasoning, syllable and phoneme awareness and orthographic awareness.

Results

Hierarchical regression analyses showed that copying fluency and delayed copying of Korean Gulja uniquely explained Korean word reading and spelling after controlling for age, cognitive skills and Vietnamese copying. In addition, squared semi‐partial correlations revealed that orthographic and phonological awareness significantly and uniquely contributed to Korean word reading and spelling.

Conclusion

The findings highlight that copying fluency and delayed copying of Hangul Gulja are the most important factors in early Korean word recognition and spelling. Similar cognitive correlates such as syllable and orthographic awareness and orthographic working memory contributed to the initial reading and spelling of Korean words.
Thinking through Urban Obsolescence: Tinkering, Repair and the Politics of Joona in Bombay/Mumbai's Taxi Trade
Authors: Bedi Tarini
Published: November 2020

In this article I use the lens of Bombay/Mumbai's taxi trade from the early twentieth century to the present to examine how obsolescence becomes ingrained in the political and public imagination, and how this can illuminate the contradictory experiences of time in changing cities. Based on a labor‐centric approach to transport infrastructure, I ask what happens when particular technologies and linear understandings of progress rooted in obsolescence pass over or attempt to erase certain urban subjects. How are these temporal contradictions manifested, and what kinds of political and value claims emerge as a result? Further, how do people actively produce other time‐spaces using alternative temporal claims to challenge progress‐oriented development narratives? How, in other words, does obsolescence resist becoming obsolete? Finally, I examine the role that materiality and physical objects such as cars play in mediating these temporal relationships.
Do non‐target species visit feeders and water troughs targeting small game? A study from farmland Spain using camera‐trapping
Authors: ARMENTEROS José A. , CARO Jesús , SÁNCHEZ‐GARCÍA Carlos , ARROYO Beatriz , PÉREZ José A. , GAUDIOSO Vicente R. , TIZADO Emilio J.
Published: November 2020

Provision of food and water is a widespread tool implemented around the world for the benefit of game and other wildlife, but factors affecting the use of food and water by non‐target species are poorly known. We evaluated visits to feeders and water troughs by non‐game species using camera‐traps in two separate areas of Spain. Feeders and water troughs were either “protected” (when surrounded by more than 50% of shrubs/forest) or “open” (in the opposite case). A total of 18 948 photos from 5344 camera‐trapping days depicted animals, and 75 species were identified. Feeders and water troughs were visited by target species (partridges and lagomorphs, 55.3% of visits) and non‐target species (44.7% of visits). Among the latter, corvids were the most common (46.1% of visits), followed by rodents (26.8%), other birds (23.6%, mainly passerines), columbids (1.9%), and other species at minor percentages. The highest proportion of visiting days to feeders and water troughs was from corvids (0.173) followed by other‐birds (0.109) and rodents (0.083); the lowest proportion was recorded for columbids (0.016). Use intensity and visit frequency of water troughs tripled that recorded in feeders, and visits to open feeders/troughs were approximately twice those to protected ones. In summary: feeders and water troughs targeting small game species are also used regularly by non‐target ones; they should be set close to cover to optimize their use by non‐target species that are not competitors of target species (though corvids may visit them); water availability should be prioritized where drought periods are expected.
A practical guide to interpreting and applying systematic reviews of qualitative studies in rheumatology
Authors: Sumpton Daniel , Kelly Ayano , Tunnicliffe David , Craig Jonathan C. , Guha Chandana , Hassett Geraldine , Tong Allison
Published: November 2020

While patient‐centered care is widely advocated in the management of rheumatic diseases, it can be challenging to implement, particularly for patients with complex systemic conditions. Patient‐centered care involves identifying and integrating the patient's experiences, attitudes, and preferences in decision‐making. Qualitative research is used to describe patient perspectives and priorities that may not always be expressed in clinical settings. Systematic reviews of qualitative studies can provide new and more comprehensive evidence of patients' beliefs and priorities across different populations and healthcare settings and are increasingly being reported across medical specialties, including rheumatology. In rheumatology, they have been used to examine topics including medication‐taking and adherence, coping with systemic sclerosis and conservative management and exercise in osteoarthritis. By referencing recent examples of systematic qualitative reviews in the rheumatology literature, this article will outline the methodology and methods used, and provide an approach to guide the appraisal of reviews. We aim to give the reader a practical understanding of systematic reviews of qualitative literature and elucidate how knowledge gained from such reviews can be applied to improve the care of patients with rheumatic conditions.
Associations Between Psychiatric Disorders and Alcohol Consumption Levels in an Adult Primary Care Population
Authors: Palzes Vanessa A. , Parthasarathy Sujaya , Chi Felicia W. , Kline‐Simon Andrea H. , Lu Yun , Weisner Constance , Ross Thekla B. , Elson Joseph , Sterling Stacy A.
Published: November 2020

Background

Unhealthy alcohol use frequently co‐occurs with psychiatric disorders; however, little is known about the relationship between psychiatric disorders and alcohol consumption levels. Understanding varying levels of unhealthy alcohol use among individuals with a variety of psychiatric disorders in primary care would provide valuable insight for tailoring interventions.

Methods

We conducted a cross‐sectional study of 2,720,231 adult primary care patients screened for unhealthy alcohol use between 2014 and 2017 at Kaiser Permanente Northern California, using electronic health record data. Alcohol consumption level was classified as no reported use, low‐risk use, and unhealthy use, per National Institute on Alcohol Abuse and Alcoholism guidelines. Unhealthy use was further differentiated into mutually exclusive groups: exceeding only daily limits, exceeding only weekly limits, or exceeding both daily and weekly limits. Multivariable multinomial logistic regression models were fit to examine associations between 8 past‐year psychiatric disorders (depression, bipolar disorder, anxiety disorder, obsessive–compulsive disorder, schizophrenia, schizoaffective disorder, anorexia nervosa, and bulimia nervosa) and alcohol consumption levels, adjusting for sociodemographic and health characteristics.

Results

In the full sample [53% female, 48% White, mean (SD) age = 46 (18) years], patients with psychiatric disorders (except eating disorders), compared to those without, had lower odds of reporting low‐risk and unhealthy alcohol use relative to no use. Among patients who reported any alcohol use (n = 861,427), patients with depression and anxiety disorder, compared to those without, had higher odds of exceeding only weekly limits and both limits; patients with bulimia nervosa were also more likely to exceed both limits.

Conclusions

Findings suggest that patients with anxiety disorder, depression, and bulimia nervosa who drink alcohol are more likely to exceed recommended limits, increasing risk of developing more serious problems. Health systems and clinicians may wish to consider implementing more robust screening, assessment, and intervention approaches to support these vulnerable subgroups in limiting their drinking.