bluuebunny/crossref_metadata_2025_split huggingface dataset:
Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation During a Pandemic
Authors: Pillay Sureshnee , Giandhari Jennifer , Tegally Houriiyah , Wilkinson Eduan , Chimukangara Benjamin , Lessells Richard , Moosa Yunus , Gazy Inbal , Fish Maryam , Singh Lavanya , Khanyile Khulekani Sedwell , Fonseca Vagner , Giovanetti Marta , Alcantara Luiz Carols , de Oliveira Tulio 
Published: June 2020

AbstractThe COVID-19 pandemic spread very fast around the world. A few days after the first detected case in South Africa, an infection started a large hospital outbreak in Durban, KwaZulu-Natal. Phylogenetic analysis of SARS-CoV-2 genomes can be used to trace the path of transmission within a hospital. It can also identify the source of the outbreak and provide lessons to improve infection prevention and control strategies. In this manuscript, we outline the obstacles we encountered in order to genotype SARS-CoV-2 in real-time during an urgent outbreak investigation. In this process, we encountered problems with the length of the original genotyping protocol, reagent stockout and sample degradation and storage. However, we managed to set up three different library preparation methods for sequencing in Illumina. We also managed to decrease the hands on library preparation time from twelve to three hours, which allowed us to complete the outbreak investigation in just a few weeks. We also fine-tuned a simple bioinformatics workflow for the assembly of high-quality genomes in real-time. In order to allow other laboratories to learn from our experience, we released all of the library preparation and bioinformatics protocols publicly and distributed them to other laboratories of the South African Network for Genomics Surveillance (SANGS) consortium.
Increased glycolysis is an early outcome of palmitate-mediated lipotoxicity
Authors: Kakimoto Pâmela , Zorzano Antonio , Kowaltowski Alicia J. 
Published: June 2020

AbstractPalmitic acid is the most abundant saturated fatty acid in human serum. In cell culture systems, palmitate overload is considered a toxic stimulus, and promotes lipid accumulation, insulin resistance, endoplasmic reticulum stress, oxidative stress, as well as cell death. An increased supply of fatty acids has also been shown to change the predominant form of the mitochondrial network, although the metabolic effects of this change are still unclear. Here, we aimed to uncover the early bioenergetic outcomes of lipotoxicity. We incubated hepatic PLC/PRF/5 cells with palmitate conjugated to BSA and followed real-time oxygen consumption and extracellular acidification for 6 hours. Palmitate increased glycolysis as soon as 1 hour after the stimulus, while oxygen consumption was not disturbed, despite overt mitochondrial fragmentation and cellular reductive imbalance. Palmitate only induced mitochondrial fragmentation if glucose and glutamine were available, while glycolytic enhancement did not require glutamine, showing it is not dependent on morphological changes. NAD(P)H levels were significantly abrogated in palmitate-treated cells. Knockdown of the mitochondrial NAD(P) transhydrogenase or addition of the mitochondrial oxidant-generator menadione in control cells modulated ATP production from glycolysis. Indeed, using selective inhibitors, we found that the production of superoxide/hydrogen peroxide at the IQsite of electron transport chain complex I is associated with the metabolic rewiring promoted by palmitate, while not changing mitochondrial oxygen consumption. In conclusion, we demonstrate that increased glycolytic flux linked to mitochondrially-generated redox imbalance is an early bioenergetic result of palmitate overload and lipotoxicity.
Anti-thyroid drug use during the first trimester of pregnancy and the risk of birth defects in offspring: systematic review and meta-analysis of observational studies with methodological considerations
Authors: Morales Daniel R. , Fonkwen Lionel , Nordeng Hedvig M. 
Published: June 2020

ABSTRACTBackgroundMaternal anti-thyroid drug (ATD) use during the first trimester of pregnancy has been associated with an increased risk of birth defects in offspring. Uncertainty remains on the size of this risk and how it compares to untreated hyperthyroidism due to methodological limitations of previous studies.MethodsSystematic review of MEDLINE and EMBASE identifying observational studies examining ATD use during the first trimester of pregnancy and risk of birth defects. Data were extracted on study characteristics, adjusted effect estimates and comparator groups. Effect estimates were pooled using a random-effects generic inverse variance method of analysis and absolute risk calculated.ResultsSeven cohort studies and one case–control study (involving 6212322 pregnancies and 388976 birth defects) were identified. Compared to unexposed women without hyperthyroidism, the association between ATD first trimester use and birth defects in offspring was: adjusted risk ratio [aRR] 1.16 95% CI 1.08-1.25 for propylthyoruacil (PTU); aRR 1.28 95% CI 1.06-1.54 for methimazole/carbimazole (MMI/CMZ); aRR 1.51, 95% CI 1.16-1.97 for both MMI/CMZ and PTU; and aRR 1.15 95%CI 1.02-1.29 for untreated hyperthyroidism. The risk of major birth defects per 1000 live births was: 9.6 for PTU; 16.8 for MMI/CMZ; 30.6 for both MMI/CMZ and PTU; and 9.0 for untreated hyperthyroidism.ConclusionsWhen appropriately analysed this risk of birth defects associated with ATD use in the first trimester of pregnancy is attenuated. Although still elevated, the risk of birth defects is smallest with PTU compared to use of MMI/CMZ and may be similar to that of untreated hyperthyroidism.
Simultaneous quadrotor autopilot system and collective morphing system design
Authors: Kose Oguz , Oktay Tugrul 
Published: June 2020

Purpose
The purpose of this paper is to design a quadrotor with collective morphing using the simultaneous perturbation stochastic approximation (SPSA) optimization algorithm.

Design/methodology/approach
Quadrotor design is made by using Solidworks drawing program and some mathematical performance relations. Modelling and simulation are performed in Matlab/Simulink program by using the state space model approaches with the parameters mostly taken from Solidworks. Proportional integral derivative (PID) approach is used as control technique. Morphing amount and the best PID coefficients are determined by using SPSA algorithm.

Findings
By using SPSA algorithm, the amount of morphing and the best PID coefficients are determined, and the quadrotor longitudinal and lateral flights are made most stable via morphing.

Research limitations/implications
It takes quite a long time to model the quadrotor in Solidworks and Matlab/Simulink with the state space model and using the SPSA algorithm. However, this situation is overcome with the proposed model.

Practical implications
Optimization with SPSA is very useful in determining the amount of morphing and PID coefficients for quadrotors.

Social implications
SPSA optimization method is useful in terms of cost, time and practicality.

Originality/value
It is released to improve performance with morphing, to determine morphing rate with SPSA algorithm and to determine PID coefficients accordingly.
Perceived organizational customer orientation and frontline employees' innovative behaviors: exploring the role of empowerment and supervisory fairness
Authors: Quratulain Samina , Al-Hawari Moh'D Ahmad , Bani-Melhem Shaker 
Published: June 2020

PurposeThe purpose of this research is to examine the indirect effect of perceived organizational customer orientation on frontline employees' (FLE) innovative behaviors (via perceived empowerment) as well as the contextual factor of supervisory fairness, which affects the strength of the indirect effect. Drawing on social exchange theory, the authors propose that FLEs' perceived organizational customer orientation positively affects their empowerment and indirectly affects innovative behaviors, and that effect is stronger in a high supervisory fairness condition.Design/methodology/approachStructural equation modeling of the data collected through a time-lagged survey of 184 employee–supervisor dyads provides support for the hypotheses. From the practitioners' perspective, this study highlights the mechanism through which perceived organizational customer orientation can affect the display of FLEs' innovative behaviors as well as the conditions that strengthen this process.FindingsPerceived organizational customer orientation was positively related to employees' perceived empowerment. Empowerment was positively associated with supervisor-reported innovative behaviors. The indirect effect of perceived organizational customer orientation through employee empowerment on supervisor-reported innovative behaviors was also confirmed. Supervisory fairness significantly moderated the perceived organizational customer orientation and employee empowerment relationship. Finally, the indirect effect of customer orientation on supervisor-reported innovative behaviors through empowerment was significant for both high supervisory fairness and low supervisory fairness; however, the effect was stronger in a high fairness condition.Practical implicationsService managers can benefit from these findings by improving the work environment characteristics.Originality/valueThis study makes an important contribution to existing research on perceived organizational customer orientation and FLEs' innovative behaviors as extant research has only examined the direct unmediated effect of customer orientation on innovative behaviors. Moreover, the authors’ moderated mediation model presents a new insight into how perceived organizational customer orientation influences FLEs' innovative behaviors and when this effect is more pronounced.
Prediction model of three-parameter interval grey number based on kernel and double information domains
Authors: Li Ye , Guo Sandang , Li Juan 
Published: June 2020

PurposeThe purpose of this paper is to construct a prediction model of three-parameter interval grey number based on kernel and double information domains to expand the modeling object of grey prediction model from interval grey number to three-parameter interval grey number.Design/methodology/approachFirst, the study decomposes the grey valued interval into upper and lower cells with the “center of gravity” as the dividing point and defines the upper and lower information domains of the three-parameter interval grey number. Second, it calculates the kernel, the upper and lower information domains of the three-parameter interval grey number. Then, it constructs the prediction model for kernel sequence and upper and lower information domain sequences, respectively. By deducing the time response expressions of “center of gravity”, lower and upper limits of three-parameter interval grey number, a prediction model of three-parameter interval grey number based on kernel and double information domains is obtained.FindingsThis paper provides a prediction model of three-parameter interval grey number based on kernel and double information domains, and the example analysis shows that the method proposed in this paper has higher prediction accuracy and practicality.Practical implicationsIn this paper, the modeling object of grey prediction model is extended to the three-parameter interval grey number, so it can be used for the prediction of uncertainty problems, such as stock changing trend, temperature and so on.Originality/valueBy decomposing the grey valued interval into upper and lower cells with the “center of gravity” as the dividing point, gives the definition of upper and lower information domains and then obtains a new method for whitening the three-parameter interval grey number.
Sustainable supply chains based on supplier selection and HRM practices
Authors: Yassine Noura , Singh Sanjay Kumar 
Published: June 2020

PurposeThe purpose of this paper is to investigate a supply chain consisting of a producer and multiple suppliers of a type of component needed for the production of a certain product. The effects of carbon emission taxes, quality of components and human inspection errors as well as the collaboration among the supply chain members are considered.Design/methodology/approachA mathematical model is formulated for a non-collaborative supply chain, and the optimal policy is shown to be the solution of a constraint optimization problem. The mathematical model is modified to the case of a collaborative supply chain and to account for inspection errors. Algorithms are provided, and a numerical example is given to illustrate the determination of the optimal policy.FindingsThis study offers a new conceptual and analytical model that analyzes the production problem from a supply chain perspective. Human resource management practices and environmental aspects were incorporated into the model to reduce risk, optimally select the suppliers and properly maximize profit by accounting for human inspection error as well carbon emission taxes. Algorithms describing the determination of the optimal policy are provided.Practical implicationsThis study provides practical results that can be useful to researchers and managers aiming at designing sustainable supply chains that incorporate economic, environmental and human factors.Originality/valueThis study can be useful to researchers and managers aiming for designing sustainable supply chains that incorporate economic and human factors.
Contributory role of autism spectrum disorder symptomology to the viewing of indecent images of children (IIOC) and the experience of the criminal justice system
Authors: Allely Clare Sarah 
Published: June 2020

PurposeAllely and Dubin (2018) and Allelyet al.(2019) have emphasised that there are a range of innate vulnerabilities in many individuals with autism spectrum disorder (ASD) who are charged with the viewing of indecent images of children (IIOC). Currently, the association between ASD and the viewing of IIOC is poorly recognised and understood both by the general public and clinical and legal professionals.Design/methodology/approachThis is a detailed case study exploring the contributory role of ASD symptomology in the viewing of IIOC. In this case study, the experience of the criminal justice system is also explored.FindingsIt is hoped that this case study will provide insight into and understanding of how ASD can in some cases be the context for vulnerability to the viewing of IIOC and raise awareness of the need to consider this at all stages of the criminal justice system, including while making sentencing decisions. This case study paper will also more effectively inform the development of appropriate preventative strategies and timely interventions.Originality/valueTo the best of the author’s knowledge, this is the first detailed case study which explores the contributory role of ASD symptomology in the viewing of IIOC in the academic peer-reviewed literature.
Social movements thinking for managing change in large-scale systems
Authors: Holton Judith A. 
Published: June 2020

PurposeThis study explores the efficacy of social movements thinking for mobilizing resources toward sustainable change in large-scale systems such as health and social services.Design/methodology/approachThe study proceeds from a critical realist perspective employing a qualitative multi-case study approach. Drawing on the tenets of grounded theory (i.e. constant comparative analysis and theoretical sampling), data from semi-structured interviews and field notes were analyzed to facilitate theoretical integration and elaboration.FindingsOne case study explores the emergence of social movements thinking in mobilizing a community to engage in sustainable system change. Data analysis revealed a three-stage conceptual framework whereby building momentum for change requires a fundamental shift in culture through openness and engagement to challenge the status quo by acknowledging not only the apparent problems to be addressed but also the residual apathy and cynicism holding the system captive to entrenched ideas and behaviors. By challenging the status quo, energy shifts and momentum builds as the community discovers shared values and goals. Achieving a culture shift of this magnitude requires leadership that is embedded within the community, with a personal commitment to that community and with the deep listening skills necessary to understand and engage the community and the wider system in moving forward into change. This emergent conceptual framework is then used to compare and discuss more intentional applications of social movements thinking for mobilizing resources for large-scale system change.Originality/valueThis study offers a three-stage conceptual framework for mobilizing community/system resources toward sustainable large-scale system change. The comparative application of this framework to more intentional applications of social movements thinking to planned change initiatives offers insights and lessons to be learned when large-scale systems attempt to apply such principles in redesigning health and social service systems.
Development of employee engagement measure: experiences from best companies to work for in India
Authors: Shrotryia Vijay Kumar , Dhanda Upasana 
Published: June 2020

PurposeEmployee engagement has become a hot topic among the global workforce. Both academicians and practitioners tout engagement to have a positive impact on individual and organizational performance. However, despite the enhanced interest, the stagnant engagement levels worldwide pose a grave concern for the researchers. Numerous overlapping and inconsistent definitions of employee engagement lead to a conceptual chaos resulting in poor operationalization of the construct. The purpose of this paper is to develop a multi-dimensional measurement tool for employee engagement based on the evidences from the best companies to work for in India.Design/methodology/approachInterviews with the top management of the 15 best companies are used for the generation of items using grounded theory methodology. These items are then subjected to content validity assessment by six domain experts. The scale is administered to the middle-level employees of five companies (n= 332) through questionnaire for exploratory and confirmatory factor analysis, reliability assessment and initial evidences for convergent and discriminant validity.FindingsThe study aimed at developing and validating an employee engagement assessment instrument, which is well-grounded in theory and built on the conceptual framework proposed by both academicians and practitioners and rigorously tested for its psychometric properties to ensure the precise measurement of employee engagement. A 3-factor/16 item employee engagement measurement tool is the finding of this study, which attempts to bridge the incongruity between the academic and industrial view on employee engagement.Originality/valueLooking at the dearth of measurement tools built in developing countries and with the intent of resolving the issues related with cultural differences in the application of western assessment tools, the developed scale made a notable contribution to engagement theory with prime focus in the Indian context. The three dimensions of employee engagement-alignment, affectiveness and action- orientation- are in a form and language, that is, comprehensible and consequential for practitioners enabling them to take a closer look at the critical engagement elements that align with the organization's human capital strategy and foster improved performance.
Modelling and validation of magneto-rheological fluid damper behaviour under impact loading using interpolated multiple adaptive neuro-fuzzy inference system
Authors: Rahmat Mohd Sabirin , Hudha Khisbullah , Abd Kadir Zulkiffli , Amer Noor Hafizah , Abd Rahman Muhammad Luqman Hakim , Abdullah Shohaimi 
Published: June 2020

PurposeThe objective of this paper is to develop a fast modelling technique for predicting magneto-rheological fluid damper behaviour under impact loading applications.Design/methodology/approachThe adaptive neuro-fuzzy inference system (ANFIS) technique was adopted to predict the behaviour of a magneto-rheological fluid (MRF) damper through experimental characterisation data. In this study, an MRF damper manufactured by Lord Corporation was used for characterisation using an impact pendulum test rig. The experimental characterisation was carried out with various impact energies and constant input currents applied to the MRF damper.FindingsThis research provided a fast modelling technique with relatively less error in predicting MRF damper behaviour for the development of control strategies. Accordingly, the ANFIS model was able to predict MRF damper behaviour under impact loading and showed better performance than the modified Bouc–Wen model.Research limitations/implicationsThis study only focused on modelling technique for a single type of MRF damper used for impact loading applications. It is possible for other applications, such as cyclic loading, random loadings and system identification, to be studied in future experiments.Original/ValueFuture researchers could apply the ANFIS model as an actuator model for the development of control strategies and analyse the control performance. The model also can be replicated in other industries with minor modifications to suit different needs.
On a method for location and mobility analytics using location-based services: a case study of retail store recommendation
Authors: Chen Yuh-Min , Chen Tsung-Yi , Chen Lyu-Cian 
Published: June 2020

PurposeLocation-based services (LBS) have become an effective commercial marketing tool. However, regarding retail store location selection, it is challenging to collect analytical data. In this study, location-based social network data are employed to develop a retail store recommendation method by analyzing the relationship between user footprint and point-of-interest (POI). According to the correlation analysis of the target area and the extraction of crowd mobility patterns, the features of retail store recommendation are constructed.Design/methodology/approachThe industrial density, area category, clustering and area saturation calculations between POIs are designed. Methods such as Kernel Density Estimation andK-means are used to calculate the influence of the area relevance on the retail store selection.FindingsThe coffee retail industry is used as an example to analyze the retail location recommendation method and assess the accuracy of the method.Research limitations/implicationsThis study is mainly limited by the size and density of the datasets. Owing to the limitations imposed by the location-based privacy policy, it is challenging to perform experimental verification using the latest data.Originality/valueAn industrial relevance questionnaire is designed, and the responses are arranged using a simple checklist to conveniently establish a method for filtering the industrial nature of the adjacent areas. The New York and Tokyo datasets from Foursquare and the Tainan city dataset from Facebook are employed for feature extraction and validation. A higher evaluation score is obtained compared with relevant studies with regard to the normalized discounted cumulative gain index.