bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of at-home sample collection logistics for large scale SARS-CoV-2 seroprevalence studies
Authors: Aatresh Aishani V. , Cummings Kate , Gerstein Hilary , Knight Christopher S. , Limberopolous Andreas , Stasi Megan A. , Bedugnis Alice , Somberg Kenneth A. , França Camila T. , Mina Michael J. 
Published: January 2021

AbstractIn the midst of a pandemic, serologic studies are a valuable tool to understand the course of the outbreak and guide public health and general pandemic management. However, given significant safety constraints including social distancing and stay-at-home orders, sample collection becomes more difficult given traditional phlebotomy protocols. For such studies, a representative sample of the underlying population is paramount to elicit meaningful insights that capture the spread of the infection, particularly when different sub-populations face varying disease burden. We aimed to address these challenges by conducting a fully remote study to investigate the seroprevalence of SARS-CoV-2 in the state of Massachusetts. Leveraging electronic study engagement and at-home self-collection of finger-prick samples, we enrolled 2,066 participants representative of the ethnic and racial composition of Massachusetts. SARS-CoV-2 total IgG seropositivity was 3.15%, and follow-up measurements at days 7, 15, 45, and 90 indicate a generally durable antibody response. A higher risk of infection was observed for healthcare workers and their cohabitants and those with comorbidities, as well as lower-income, less educated, Hispanic, and those in the age groups of 18-29 and 50-59-years-old. High engagement and positive feedback from the participants and quality of self-collected specimens point to the usefulness of this design for future population-level serological studies that more effectively and safely reach a broad representative cohort, thus yielding more comprehensive insights into the burden of infection and disease in populations.Key pointsQuestionWe aimed to implement a fully remote seroprevalence study for SARS-CoV-2, leveraging electronic methods and at-home self-collection of specimens to engage a representative study population.FindingsThe population enrolled reflected the ethnic and racial composition of Massachusetts, revealing a SARS-CoV-2 seroprevalence of 3.15% and higher risk of previous infection associated with healthcare workers/their cohabitants, those with comorbidities, lower-income, less educated, Hispanic, and those in age groups 18-29 and 50-59 years old.MeaningHigh engagement and positive feedback from participants as well as quality of self-collected specimens point to the usefulness of this design for future population-level serological studies.
Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature with Dynamic Word Embedding Networks and Machine Learning
Authors: Pal Ridam , Chopra Harshita , Awasthi Raghav , Bandhey Harsh , Nagori Aditya , Gulati Amogh , Kumaraguru Ponnurangam , Sethi Tavpritesh 
Published: January 2021

AbstractEvidence from peer-reviewed literature is the cornerstone for designing responses to global threats such as COVID-19. The collection of knowledge and interpretation in publications needs to be distilled into evidence by leveraging natural language in ways beyond standard meta-analysis. Several studies have focused on mining evidence from text using natural language processing, and have focused on a handful of diseases. Here we show that new knowledge can be captured, tracked and predicted using the evolution of unsupervised word embeddings and machine learning. Our approach to decipher the flow of latent knowledge in time-varying networks of word-vectors captured thromboembolic complications as an emerging theme in more than 77,000 peer-reviewed publications and more than 11,000 WHO vetted preprints on COVID-19. Furthermore, machine learning based prediction of emerging links in the networks reveals autoimmune diseases, multisystem inflammatory syndrome and neurological complications as a dominant research theme in COVID-19 publications starting March 2021.
Single-cell transcriptome lineage tracing of human pancreatic development identifies distinct developmental trajectories of alpha and beta cells
Authors: Lin Li , Zhang Yufeng , Qian Weizhou , Liu Yao , Zhang Yingkun , Lin Fanghe , Liu Cenxi , Lu Guangxing , Song YanLing , Song Jia , Yang Chaoyong , Li Jin 
Published: January 2021

ABSTRACTIn comparison to mouse, the developmental process of human islets has not been properly elucidated. The advancement of single cell RNA-seq technology enables us to study the properties of alpha and beta cells at single cell resolution. By using mitochondrial genome variants as endogenous lineage-tracing markers, we found that human alpha and beta cells have different lineage features. This finding suggests specific endocrine progenitors for alpha and beta cells, which is different from mouse islet cells. This strategy was also applied to a study of chemically-induced islet cell reprogramming and was used to help identify artemether-induced alpha-to-beta trans-differentiation in human islets. The computational results of this study will inspire future studies to establish, maintain, and expand beta cell-specific progenitorsin vitroandin vivo.
O-specific antigen-dependent surface hydrophobicity mediates aggregate assembly type inPseudomonas aeruginosa
Authors: Azimi Sheyda , Thomas Jacob , Cleland Sara E. , Curtis Jennifer E. , Goldberg Joanna B. , Diggle Stephen P. 
Published: January 2021

AbstractBacteria live in spatially organized aggregates during chronic infections, where they adapt to the host environment, evade immune responses and resist therapeutic interventions. Although it is known that environmental factors such as polymers influence bacterial aggregation, it is not clear how bacterial adaptation during chronic infection impacts the formation and spatial organization of aggregates in the presence of polymers. Here we show that in anin vitromodel of cystic fibrosis (CF) containing the polymers eDNA and mucin, O-specific antigen is a major factor in determining the formation of two distinct aggregate assembly types ofPseudomonas aeruginosadue to alterations in cell surface hydrophobicity. Our findings suggest that during chronic infection, interplay between cell surface properties and polymers in the environment may influence the formation and structure of bacterial aggregates, which would shed new light on the fitness costs and benefits of O-antigen production in environments such as CF lungs.ImportanceDuring chronic infection, several factors contribute to the biogeography of microbial communities. Heterogeneous populations ofPseudomonas aeruginosaform aggregates in cystic fibrosis airways, however, the impact of this population heterogeneity on spatial organization and aggregate assembly is not well understood. In this study we found that changes in O-specific antigen determine the spatial organization ofP. aeruginosacells by altering the relative cell surface hydrophobicity. This finding suggests a role for O-antigen in regulatingP. aeruginosaaggregate size and shape in cystic fibrosis airways.
Early Stopping in Experimentation with Real-time Functional Magnetic Resonance Imaging Using a Modified Sequential Probability Ratio Test
Authors: Carr Sarah J. A. , Chen Weicong , Fondran Jeremy , Friel Harry , Sanchez-Gonzalez Javier , Zhang Jing , Tatsuoka Curtis 
Published: January 2021

AbstractIntroductionFunctional magnetic resonance imaging (fMRI) often involves long scanning durations to ensure the associated brain activity can be detected. However, excessive experimentation can lead to many undesirable effects, such as from learning and/or fatigue effects, discomfort for the subject, excessive motion artifacts and loss of sustained attention on task. Overly long experimentation can thus have a detrimental effect on signal quality and accurate voxel activation detection. Here, we propose dynamic experimentation with real-time fMRI using a novel statistically-driven approach that invokes early stopping when sufficient statistical evidence for assessing the task-related activation is observed.MethodsVoxel-level sequential probability ratio test (SPRT) statistics based on general linear models (GLMs) were implemented on fMRI scans of a mathematical 1-back task from 12 healthy teenage subjects and 11 teenage subjects born extremely preterm (EPT). This approach is based on likelihood ratios and allows for systematic early stopping based on statistical error thresholds. We adopt a two-stage estimation approach that allows for accurate estimates of GLM parameters before stopping is considered. Early stopping performance is reported for different first stage lengths, and activation results are compared with full durations. Finally, group comparisons are conducted with both early stopped and full duration scan data. Numerical parallelization was employed to facilitate completion of computations involving a new scan within every repetition time (TR).ResultsUse of SPRT demonstrates the feasibility and efficiency gains of automated early stopping, with comparable activation detection as with full protocols. Dynamic stopping of stimulus administration was achieved in around half of subjects, with typical time savings of up to 33% (4 minutes on a 12 minute scan). A group analysis produced similar patterns of activity for control subjects between early stopping and full duration scans. The EPT group, individually, demonstrated more variability in location and extent of the activations compared to the normal term control group. This was apparent in the EPT group results, reflected by fewer and smaller clusters.ConclusionA systematic statistical approach for early stopping with real-time fMRI experimentation has been implemented. This dynamic approach has promise for reducing subject burden and fatigue effects.
The influence of ethical leadership on the organizational commitment in fire organizations
Authors: Bahadori Mohammadkarim , Ghasemi Matina , Hasanpoor Edris , Hosseini Seyed Mojtaba , Alimohammadzadeh Khalil 
Published: January 2021

PurposeIt is necessary for organizations to have committed employees to perform properly and be able to survive in a competitive world. One of the key components of organizational commitment is implementation of ethical leadership. The purpose of this study is to examine the relationship between ethical leadership and organizational commitment in fire organizations of Tehran.Design/methodology/approachA descriptive-correlational study was carried out in 2019. The sample consisted of 200 randomly selected participants, active in executive and headquarters divisions of fire department in Tehran. To collect data, a questionnaire with three different parts: demographics, organizational commitment questionnaire and the ethical leadership scale, was used. Data analysis were performed by AMOS24 and SPSS software, and data are presented as descriptive statistics of frequency, percentages, mean ± standard deviation (SD) and Pearson’s correlation coefficient.FindingsMean and SD for organizational commitment and ethical leadership were 3.44 ± 0.7 and 3.66 ± 0.62, respectively. Affective commitment had the highest average score among organizational commitment dimensions (3.63 ± 0.75). Among ethical leadership dimensions, ethical management showed the highest average (3.79 ± 0.70). Each component of organizational commitment, i.e. affective commitment, continuance commitment and normative commitment, also showed a significant relationship with ethical leadership (p< 0.05). Model fit results revealed that independent variables could anticipate 87% of changes of dependent variables in organizational commitment.Originality/valueThe results show a significantly positive relationship between ethical leadership and organizational commitment among the firefighters. Therefore, by using ethical leadership method, i.e. being a role model, improving the relations between management and employees, establishing trust and mutual respect, managers of fire departments can increase firefighters’ organizational commitment, affective commitment, continuance commitment and normative commitment and prevent them from quitting.
Promoting mutual adaptation in haptic negotiation using adaptive virtual fixture
Authors: Zhou Hua , Wei Dong , Chen Yinglong , Wu Fa 
Published: January 2021

Purpose
To promote the intuitiveness of collaborative tasks, the negotiation ability of humans with each other has inspired a large amount of studies aimed at reproducing the capacity in physical human-robot interaction (pHRI). This paper aims to promote mutual adaptation in negotiation when both parties possess incomplete information.

Design/methodology/approach
This paper introduces virtual fixtures into the traditional negotiation mechanism, locally regulating tracking trajectory and impedance parameters in the negotiating phase until the final plan integrates bilateral intentions well. In the strategy, robots convey its task information to humans and offer groups of guide plans for them to choose, on the premise of maximizing the robot’s own profits.

Findings
Compared with traditional negotiation strategies, humans adapt to robots easily and show lower cognitive load in the method, while the satisfied plan shows better performance for the whole human-robot system.

Originality/value
In this study, this paper proposes a novel negotiation strategy to facilitate the mutual adaptation of humans and robots in complicated shared tasks, especially when both parties possess incomplete information of tasks.
Does immiserizing growth exist? Evidence from world’s top trading nations
Authors: Jawaid Syed Tehseen , Qureshi Mariya Ahmad , Ali Samra 
Published: January 2021

Purpose
This study aims to motivate the reality that experiential investigation of immiserizing growth has not been performed at large. The key objective of the study is to analyse the empirical existence of immiserizing growth in the real world.

Design/methodology/approach
Theory of revealed preferences has been implemented for welfare movement by using Laspeyres and Paasche quantity index and for empirical estimations, logistic regression has been applied. The study established panel data of the world’s largest trading nations, including the USA, China, France, Germany, UK, Italy, Japan, the Netherland and Canada. Annual time series data for an extensive time period covering from 1981 till 2017 have been used.

Findings
Findings of the Laspeyres and Paasche index reveal that out of nine countries immiserizing growth prevails in five nations and those are Italy, Canada, the Netherland, UK and Japan. The results of panel logistic regression verify the significance of terms of trade on immiserizing growth in all included countries. Separate logistic regression has also been performed on all the five countries from which Italy, Canada, the Netherland exhibit significant results.

Originality/value
This study is a pioneer attempt towards the concept of immiserizing growth. Considering the fact that immiserizing growth is viewed by the majority of the scholars as a theoretical notion, this study attempts to investigate analytically the existence of immiserizing growth with real data set. The impact of terms of trade deterioration on the welfare of the world’s largest trading nations has been focused on the research which is in compliance with the concept of Bhagwati (1958).
Stock market performance and COVID-19 pandemic: evidence from a developing economy
Authors: Insaidoo Michael , Arthur Lilian , Amoako Samuel , Andoh Francis Kwaw 
Published: January 2021

Purpose
The purpose of this study is to assess the extent to which the Ghana stock market performance has been impacted by the novel COVID-19 pandemic.

Design/methodology/approach
The study used the exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model, by using daily time series data from 2 January 2015 to 13 October 2020. Both pre-estimation (Augmented Dickey-Fuller and Phillips-Perron) and post-estimation tests (Jarque-Bera) were conducted to validate the results.

Findings
While the study shows a statistically insignificant negative relationship between the COVID-19 pandemic and the Ghana stock returns, the results confirm that the COVID-19 pandemic has occasioned an increase in the Ghana stock returns volatility by 8.23%. Furthermore, the study confirmed the presence of volatility clustering and asymmetric effect, with the latter implying that worthy news tends to affect volatility more than unwelcome news of equal size.

Practical implications
To dampen uncertainties that trigger stock market volatility, the government should surgically target worse affected COVID-19 pandemic businesses and households to check the drop in profits and demand. Rigidities associated with stock market operations must be addressed to make it attractive to investors even in the midst of a pandemic.

Originality/value
This paper is a pioneer attempt at assessing the extent to which a developing economy stock market has been impacted by the novel COVID-19 pandemic using the EGARCH model.
Innovation capabilities of women enterprise in informal settings
Authors: Adeosun Oluyemi Theophilus , Shittu Ayodele Ibrahim , Aju Stellamaris Ifunanya 
Published: January 2021

Purpose
This paper aims to explore how women entrepreneurs in informal settings, especially in the fishing sub-sector in rural communities, relate to different dimensions of innovation. Specifically, this paper examines how women entrepreneurs engage in process, managerial and technological innovations. This paper also examines how they fund their business, develop their products across the value chain innovatively and how it influences their business output and welfare.

Design/methodology/approach
A face-to-face structured interview was administered among 100 women entrepreneurs in the fishing agriculture sub-sector in the Anam community, Anambra East LGA, in Anambra State. The study uses the multiple logistic regression model, descriptive analysis technique and it is quantitative in approach. The research is situated within the Local Innovation Systems and adopts diffusion innovation theory.

Findings
The study established the following: level of education and learning capabilities are significant predictors of process innovation capabilities among women-owned enterprise in informal settings; level of education, years of fishing experience and learning capabilities are significant predictors of technological innovation capabilities among women-owned enterprise in informal settings; and level of education is the only significant predictor of management innovation capabilities among women-owned enterprise in informal settings.

Originality/value
This paper focuses attention on the issue of innovation by women who operate in the informal sector of the fishing sub-sector in the agricultural value chain with attention for their productivity and welfare.
Organic food women entrepreneurs-TISM approach for challenges
Authors: Dahiya Shweta , Panghal Anupama , Sindhu Shilpa , Siwach Parveen 
Published: January 2021

Purpose
Organic food is getting attention these days from consumers and producers, in pursuit of safe and chemical-free food. In India, there is an upsurge in entrepreneurs in the organic food sector, with women entrepreneurs signalling higher numbers. Women entrepreneurs have the potential to contribute significantly to the field of organic food; the only requirement is to address the challenges faced by them. This paper aims to attempt at exploring and modelling the challenges faced by women entrepreneurs in the organic food sector.

Design/methodology/approach
Significant challenges were identified through literature review, primary data collection and expert opinions. The identified challenges were then modelled through total interpretive structural modelling and fuzzy-matriced impact cruises multiplication applique techniques to give a meaningful contextual relationship.

Findings
This study identified “poor government support” and “less awareness” amongst the stakeholders, as the most strategic challenges with the highest driving power to influence other challenges. In contrast, “low funding options” and “fewer buyers” emerged as the most dependent challenges for organic food women entrepreneurs in India.

Originality/value
The model proposed in the study gives a roadmap for different stakeholders in the food industry to scale up organic food women entrepreneurs in India.
Deneddylation by SENP8 restricts hepatitis B virus propagation
Authors: Chen David Virya , Suzuki Tatsuya , Itoh Yumi , Maeda Yusuke , Hirano Junki , Haga Saori , Zhang He , Ito Daiki , Matsuura Yoshiharu , Okamoto Toru 
Published: January 2021

AbstractProteins newly synthesized from messenger RNA undergo Posttranslational modifications (PTMs) such as phosphorylation, glycosylation, methylation, and ubiquitination. These PTMs have important roles in protein stability, localization, and conformation and have been reported to be involved in hepatitis B virus (HBV) propagation. Although ubiquitination plays an essential role in HBV life cycles, the involvement of ubiquitin‐like proteins (UBLs) in HBV life cycles has been understudied. Through comprehensive gain‐ and loss‐of‐function screening of UBLs, we observed that neddylation, a PTM in which neural precursor cell, expressed developmentally downregulated 8 (NEDD8) is conjugated to substrate proteins, was required for efficient HBV propagation. We also found that overexpression of sentrin‐specific protease 8 (SENP8), which cleaves conjugated NEDD8, suppressed HBV propagation. Further, the catalytic activity of SENP8 was required for the suppression of HBV propagation. These results indicated that the reduction of neddylation negatively regulated HBV propagation. In addition, we demonstrated that suppression of HBV propagation via SENP8 overexpression was independent of hepatitis B protein X (HBx) and HBV promoter activity. Therefore, our data suggested that neddylation plays an important role in the late stages of HBV life cycles.