bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the impact of social capitals and knowledge creation on construction firms performance in the COVID-19 era
Authors: Boamah Fredrick Ahenkora , Zhang Jianhua , Shehzad Muhammad Usman , Sherani Sherani , Wen Dandan 
Published: January 2022

Purpose
Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

Design/methodology/approach
A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

Findings
One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Originality/value
Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.
Human rights for refugees: enhancing sustainable humanitarian supply chain to guarantee a health environment in refugee settlements
Authors: Karl Alexandre Augusto , Scholz Karl Julia 
Published: January 2022

PurposeDespite global efforts for environmental protection, there is a gap in the literature about the contributions of a sustainable humanitarian supply chain (SHSC) to the promotion of human rights in refugee settlements. In this context, this study investigates how the generation of sustainability in the humanitarian supply chain (HSC) acts as an instrument for guaranteeing the human rights for refugees.Design/methodology/approachA literature review was conducted to identify the state of the art and research challenges as well as an analysis of international law documents related to refugees, international human rights law and environmental protection, and a critical study of sustainable initiatives already taken by international organizations and humanitarian agencies in refugee camps.FindingsAs a result, ensuring human rights in refugee camps is directly related to the development of a SHSC that contributes without deviation to the enjoyment and exercise of human rights by preserving the local environment.Originality/valueThis study offers a literature review and discusses the generation of sustainability in refugee camps and its relationship with human rights protected by rules of international law. Aspects such as the circular humanitarian supply chain are for the first time discussed, introducing the circular economy to refugee settlements.
Managing the most important asset: a twenty year review on the performance management literature
Authors: Justin M.A. Ebina , Joy Manu Melwin 
Published: January 2022

PurposeThe three objectives served by this review are to provide readers a limpid insight about the topic performance management (PM), to analyse the latest trends in PM literature and to illustrate the theoretical perspectives. It would be fascinating for the practitioners and researchers to see the latest trends in the PM system, which is not yet covered in previous reviews. The study covers the historical and theoretical perspectives of human resource management practices. We also try to unveil some of the theoretical debates and conflicts regarding the topic.Design/methodology/approachWe reviewed 139 studies on PM published within the last 20 years (2000–2020). The method used here is the integrative review method. The criteria used to determine studies are articles from peer-reviewed journals regarding the PM system published between 2000 and 2020. The initial search for studies was conducted using an extensive journal database, and then an intensive reference-based search was also done. Each selected article was coded, themes were identified, and trends for every 5 years were determined. All the articles were analysed and classified based on the methodology used to identify qualitative and quantitative studies.FindingsThe review concludes that PM literature's emphasis shifted from traditional historical evaluations conducted once or twice a year to forward-looking, feedback-enriched PM systems. By segregating the studies into 5-year periods, we could extract five significant trends that prevailed in the PM literature from 2000 to 2020: reactions to PM system, factors that influence PM system, quality of rating sources, evaluating the PM system and types of the PM system. The review ends with a discussion of practical implications and avenues for future research.Research limitations/implicationsIt is equally a limitation and strength of this paper that we conducted a review of 139 articles to cover the whole works in PM literature during the last 20 years. The study could not concentrate on any specific PM theme, such as exploring employee outcomes or organizational outcomes. Likewise, the studies on public sector and non-profit organizations are excluded from this review, which constitutes a significant share of PM literature. Another significant limitation is that the selected articles are classified only based on their methodology; further classification based on different themes and contexts can also be done.Originality/valueThe study is an original review of the PM literature to identify the latest trends in the field.
The past masters: the impact of the Evolution of Management Thought on history
Authors: Muldoon Jeffrey , Deal Nicholous M. , Smith Douglass , Shivanapura Lakshmikanth Geethalakshmi 
Published: January 2022

Purpose
The purpose of this article is to commemorate the 50th anniversary of Evolution of Management Thought (EMT), a critically acclaimed text in management and organizational studies for its value in historicizing the practice of management.

Design/methodology/approach
The authors asked Daniel Wren and Arthur Bedeian in their own words to their contribution. In addition, the authors offer commentary and critique of 16 leading management historians who share their reflections on the intellectual significance of Wren and Bedeian, and the punctuation of EMT as a canonical text in the field of management history.

Findings
The legacy of Wren and Bedeian can be felt across the academy of historical research on business and organizations. Their work has separately made significant contributions to management studies but together they have forged a fruitful partnership that has given rise to multiple generations of scholars and scholarship that continue to shape the field to this day.

Originality/value
The contribution of the authors in this article is to mark the significant milestone of EMT’s five-decade success by hearing from the authors themselves about their longstanding success as well as giving space to critique about the past, present and future of our collective historical scholarship shaped by Wren and Bedeian’s legacy.
Sensor-based human activity recognition using fuzzified deep CNN architecture with λmax method
Authors: V. Gomathi , S. Kalaiselvi , D Thamarai Selvi 
Published: January 2022

Purpose
This work aims to develop a novel fuzzy associator rule-based fuzzified deep convolutional neural network (FDCNN) architecture for the classification of smartphone sensor-based human activity recognition. This work mainly focuses on fusing the λmax method for weight initialization, as a data normalization technique, to achieve high accuracy of classification.

Design/methodology/approach
The major contributions of this work are modeled as FDCNN architecture, which is initially fused with a fuzzy logic based data aggregator. This work significantly focuses on normalizing the University of California, Irvine data set’s statistical parameters before feeding that to convolutional neural network layers. This FDCNN model with λmax method is instrumental in ensuring the faster convergence with improved performance accuracy in sensor based human activity recognition. Impact analysis is carried out to validate the appropriateness of the results with hyper-parameter tuning on the proposed FDCNN model with λmax method.

Findings
The effectiveness of the proposed FDCNN model with λmax method was outperformed than state-of-the-art models and attained with overall accuracy of 97.89% with overall F1 score as 0.9795.

Practical implications
The proposed fuzzy associate rule layer (FAL) layer is responsible for feature association based on fuzzy rules and regulates the uncertainty in the sensor data because of signal inferences and noises. Also, the normalized data is subjectively grouped based on the FAL kernel structure weights assigned with the λmax method.

Social implications
Contributed a novel FDCNN architecture that can support those who are keen in advancing human activity recognition (HAR) recognition.

Originality/value
A novel FDCNN architecture is implemented with appropriate FAL kernel structures.
DNA methylation signatures in Blood DNA of Hutchinson–Gilford Progeria syndrome
Authors: Bejaoui Yosra , Razzaq Aleem , Yousri Noha A. , Oshima Junko , Megarbane Andre , Qannan Abeer , Potabattula Ramya , Alam Tanvir , Martin George M. , Horn Henning F. , Haaf Thomas , Horvath Steve , El Hajj Nady 
Published: January 2022

AbstractHutchinson–Gilford Progeria Syndrome (HGPS) is an extremely rare genetic disorder caused by mutations in the LMNA gene and characterized by premature and accelerated aging beginning in childhood. In this study, we performed the first genome‐wide methylation analysis on blood DNA of 15 patients with progeroid laminopathies using Infinium Methylation EPIC arrays including 8 patients with classical HGPS. We could observe DNA methylation alterations at 61 CpG sites as well as 32 significant regions following a 5 Kb tiling analysis. Differentially methylated probes were enriched for phosphatidylinositol biosynthetic process, phospholipid biosynthetic process, sarcoplasm, sarcoplasmic reticulum, phosphatase regulator activity, glycerolipid biosynthetic process, glycerophospholipid biosynthetic process, and phosphatidylinositol metabolic process. Differential methylation analysis at the level of promoters and CpG islands revealed no significant methylation changes in blood DNA of progeroid laminopathy patients. Nevertheless, we could observe significant methylation differences in classic HGPS when specifically looking at probes overlapping solo‐WCGW partially methylated domains. Comparing aberrantly methylated sites in progeroid laminopathies, classic Werner syndrome, and Down syndrome revealed a common significantly hypermethylated region in close vicinity to the transcription start site of a long non‐coding RNA located anti‐sense to the Catenin Beta Interacting Protein 1 gene (CTNNBIP1). By characterizing epigenetically altered sites, we identify possible pathways/mechanisms that might have a role in the accelerated aging of progeroid laminopathies.
COVID‐19 vaccination rates, intent, and hesitancy in patients with solid organ and blood cancers: A multicenter study
Authors: Nguyen Mike , Bain Nathan , Grech Lisa , Choi Tammie , Harris Sam , Chau Hieu , Freeman Daniel , Kwok Alastair , Williams Janne , McCartney Amelia , Webber Kate , Day Daphne , Segelov Eva 
Published: January 2022

AbstractIntroductionPeople with cancer are at higher risk of serious illness and death from COVID‐19 infection. We investigated COVID‐19 vaccine uptake among patients with solid organ and blood cancers and explored factors related to hesitancy.MethodsCross‐sectional online survey of adults with a history of cancer at three health services across metropolitan and regional Victoria. Vaccine hesitancy was measured by the validated Oxford COVID‐19 vaccine hesitancy scale.ResultsThere were 1073 respondents: 56% female; median age 62 years (range 23 ‐ 91). Commonest tumor types included breast 29%, gastrointestinal 19%, hematological 15%, genitourinary 15%, and lung 8%. Thirty‐six percent had metastatic disease, and 54% were receiving active anticancer treatment.Eighty‐four percent of respondents indicated positive intent toward COVID‐19 vaccination, 10% were undecided, and 6% indicated negative attitudes. At least one vaccine dose had been received by 65% of respondents, leaving 35% unvaccinated. Fifty‐eight percent of unvaccinated patients answered that they would “definitely” or “probably” take a vaccine. Higher vaccine uptake was significantly associated with older age, male gender, English as first language, longer time since cancer diagnosis, and not being on current anticancer treatment. Concerns regarding vaccine side effects, particularly thrombosis, and the desire for clear medical advice were prominent among unvaccinated respondents.ConclusionDespite being eligible for COVID‐19 vaccination since March 2021, a substantial minority of patients with cancer remained unvaccinated as of August 2021. Targeted communication and educational resources addressing vaccine safety in the context of cancer are key to promoting vaccine uptake in this vulnerable population.
Dupilumab improves health related quality of life: Results from the phase 3 SINUS studies
Authors: Lee Stella E. , Hopkins Claire , Mullol Joaquim , Msihid Jérôme , Guillemin Isabelle , Amin Nikhil , Mannent Leda P. , Li Yongtao , Siddiqui Shahid , Chuang Chien‐Chia , Kamat Siddhesh , Khan Asif H. 
Published: January 2022

AbstractBackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a predominantly type 2‐mediated inflammatory disease with high symptom burden and reduced health‐related quality of life (HRQoL). This report aimed to comprehensively understand the effects of dupilumab on domains of HRQoL, their individual elements, and health status in patients with severe CRSwNP from phase 3 SINUS‐24 (NCT02912468) and SINUS‐52 (NCT02898454) trials.MethodsPatients were randomized to dupilumab (n = 438) or placebo (n = 286) for 24 weeks (SINUS‐24), or 52 weeks (SINUS‐52). Disease‐specific HRQoL using 22‐item sino‐nasal outcome test (SNOT‐22), and health status using EuroQoL‐visual analog scale (EQ‐VAS) was evaluated in the pooled intention‐to‐treat (ITT) population (Week 24), SINUS‐52 ITT (Week 52) and in the subgroups with/without asthma; non‐steroidal anti‐inflammatory drug‐exacerbated respiratory disease (NSAID‐ERD); and prior sinus surgery.ResultsAt baseline, patients had poor disease‐specific HRQoL and general health status and identified “Decreased sense of smell/taste” and “Nasal blockage” as the most important symptoms. Dupilumab significantly improved SNOT‐22 total, domain (Nasal, Sleep, Function, Emotion, and Ear/facial), and 22‐item scores, and EQ‐VAS, at Week 24 vs placebo (all p < .0001), with continued improvements to Week 52 in SINUS‐52. Improvements occurred irrespective of comorbid asthma, NSAID‐ERD, or prior surgery. A significantly greater proportion of dupilumab‐treated patients exceeded clinically meaningful thresholds for SNOT‐22 total score and EQ‐VAS vs placebo (all subgroups p < .05 except patients without surgery at Week 24).ConclusionsDupilumab treatment led to significant clinically meaningful improvements across all aspects of disease‐specific HRQoL, and general health status in patients with severe CRSwNP.
Moving from Risky to Response‐able Care
Authors: Turner Bethaney , Tam Daisy 
Published: January 2022

AbstractFood rescue is commonly depicted as a means of caring for the hungry and “the environment”. By paying close attention to care practices in food rescue through a review of international literature and fieldwork in Australia’s capital city, we highlight the dominance of risky care. For “Good Samaritan” donors, risky care enables the problems generated by surplus food to be transferred to food rescue organisations. This transferral focuses attention on the materialities of surplus at the point of collection, effectively obscuring and contracting the spatial, scalar and temporal becomings of excess food. Repeated practices of risky care are shown to: normalise reliance on rapid, agile food rescue organisations; negate human/more‐than‐human entanglements in mutual relations of care; and compromise fulfilment of recipients’ right to food. Instead, we identify the need to support and amplify modes of response‐able care to more equitably distribute risks throughout food flows.
Systematic review with meta‐analysis: the accuracy of serological tests to support the diagnosis of coeliac disease
Authors: Sheppard Athena L. , Elwenspoek Martha M. C. , Scott Lauren J. , Corfield Victoria , Everitt Hazel , Gillett Peter M. , Hay Alastair D. , Jones Hayley E. , Mallett Susan , Watson Jessica , Whiting Penny F. 
Published: January 2022

SummaryBackgroundThere is growing support for a biopsy avoidant approach to diagnose coeliac disease in both children and adults, using a serological diagnosis instead.AimsTo assess the diagnostic accuracy of serological tests for coeliac disease in adults and children.MethodsSeven electronic databases were searched between January 1990 and August 2020. Eligible diagnostic studies evaluated the accuracy of serological tests for coeliac disease against duodenal biopsy. Risk of bias assessment was performed using QUADAS‐2. Bivariate random‐effects meta‐analyses were used to estimate serology sensitivity and specificity at the most commonly reported thresholds.Results113 studies (n = 28,338) were included, all in secondary care populations. A subset of studies were included in meta‐analyses due to variations in diagnostic thresholds. Summary sensitivity and specificity of immunoglobulin A (IgA) anti‐tissue transglutaminase were 90.7% (95% confidence interval: 87.3%, 93.2%) and 87.4% (84.4%, 90.0%) in adults (5 studies) and 97.7% (91.0%, 99.4%) and 70.2% (39.3%, 89.6%) in children (6 studies); and of IgA endomysial antibodies were 88.0% (75.2%, 94.7%) and 99.6% (92.3%, 100%) in adults (5 studies) and 94.5% (88.9%, 97.3%) and 93.8% (85.2%, 97.5%) in children (5 studies).ConclusionsAnti‐tissue transglutaminase sensitivity appears to be sufficient to rule out coeliac disease in children. The high specificity of endomysial antibody in adults supports its use to rule in coeliac disease. This evidence underpins the current development of clinical guidelines for a serological diagnosis of coeliac disease. Studies in primary care are needed to evaluate serological testing strategies in this setting.
Causation and Injustice: Locating the injustice of racial and ethnic health disparities
Authors: Hutler Brian 
Published: January 2022

AbstractThe COVID‐19 pandemic has had a disproportionate impact on the health of Black Americans, Latinx or Hispanic Americans, and American Indians. These disparities are deeply unjust, in part, because they are the causal result of racism at both the interpersonal and structural levels. This paper argues, however, that establishing a causal connection between racism and health disparities is not the only way to explain the injustice of these disparities. The COVID‐19 health disparities are arguably unjust because health equity is a “free‐standing” demand of justice, an obligation of reparative justice, a remedy to structural injustice, and part of dismantling pernicious racial concepts. Identifying multiple accounts of injustice may lower the evidentiary bar for our normative claims and help us to identify alternative policy pathways for ending health inequity.
Bayesian Nonparametric Analysis of Restricted Mean Survival Time
Authors: Zhang Chenyang , Yin Guosheng 
Published: January 2022

AbstractThe restricted mean survival time (RMST) evaluates the expectation of survival time truncated by a prespecified time point, because the mean survival time in the presence of censoring is typically not estimable. The frequentist inference procedure for RMST has been widely advocated for comparison of two survival curves, while research from the Bayesian perspective is rather limited. For the RMST of both right- and interval-censored data, we propose Bayesian nonparametric estimation and inference procedures. By assigning a mixture of Dirichlet processes (MDP) prior to the distribution function, we can estimate the posterior distribution of RMST. We also explore another Bayesian nonparametric approach using the Dirichlet process mixture model and make comparisons with the frequentist nonparametric method. Simulation studies demonstrate that the Bayesian nonparametric RMST under diffuse MDP priors leads to robust estimation and under informative priors it can incorporate prior knowledge into the nonparametric estimator. Analysis of real trial examples demonstrates the flexibility and interpretability of the Bayesian nonparametric RMST for both right- and interval-censored data.
Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference
Authors: Tang Dingke , Kong Dehan , Pan Wenliang , Wang Linbo 
Published: January 2022

Abstract
Causal inference has been increasingly reliant on observational studies with rich covariate information. To build tractable causal procedures, such as the doubly robust estimators, it is imperative to first extract important features from high or even ultra-high dimensional data. In this paper, we propose causal ball screening for confounder selection from modern ultra-high dimensional data sets. Unlike the familiar task of variable selection for prediction modeling, our confounder selection procedure aims to control for confounding while improving efficiency in the resulting causal effect estimate. Previous empirical and theoretical studies suggest excluding causes of the treatment that are not confounders. Motivated by these results, our goal is to keep all the predictors of the outcome in both the propensity score and outcome regression models. A distinctive feature of our proposal is that we use an outcome model-free procedure for propensity score model selection, thereby maintaining double robustness in the resulting causal effect estimator. Our theoretical analyses show that the proposed procedure enjoys a number of properties, including model selection consistency and pointwise normality. Synthetic and real data analysis show that our proposal performs favorably with existing methods in a range of realistic settings. Data used in preparation of this paper were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.