bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensitivity of different RT-qPCR solutions for SARS-CoV-2 detection
Authors: Alcoba-Florez Julia , Gil-Campesino Helena , de Artola Diego García-Martínez , González-Montelongo Rafaela , Valenzuela-Fernández Agustín , Ciuffreda Laura , Flores Carlos 
Published: June 2020

AbstractObjectiveThe ongoing COVID-19 pandemic continues imposing a demand for diagnostic screening. In anticipation that the recurrence of outbreaks and the measures for lifting the lockdown worldwide may cause supply chain issues over the coming months, we assessed the sensitivity of a number of one-step retrotranscription and quantitative PCR (RT-qPCR) solutions to detect SARS-CoV-2.MethodsWe evaluated six different RT-qPCR alternatives for SARS-CoV-2/COVID-19 diagnosis based on standard RNA extractions. That of best sensitivity was also assessed with direct nasopharyngeal swab viral transmission medium (VTM) heating, overcoming the RNA extraction step.ResultsWe found a wide variability in the sensitivity of RT-qPCR solutions that associated with a range of false negatives from as low as 2% (0.3-7.9%) to as much as 39.8% (30.2-50.2). Direct preheating of VTM combined with the best solution provided a sensitivity of 72.5% (62.5-81.0), in the range of some of the solutions based on standard RNA extractions.ConclusionsWe evidenced sensitivity limitations of currently used RT-qPCR solutions. Our results will help to calibrate the impact of false negative diagnoses of COVID-19, and to detect and control new SARS-CoV-2 outbreaks and community transmissions.
Knowledge about COVID-19 and patients’ beliefs about and use of herbal products during the COVID-19 pandemic: a cross-sectional study in Saudi Arabia
Authors: Alyami Hamad S. , Orabi Mohamed A. A. , Aldhabbah Fahad M. , Alturki Hamad N. , Aburas Wejdan I. , Alfayez Abdulrahman I. , Alharbi Abdullah S. , Almasuood Rawan A. , Alsuhaibani Njood A. 
Published: June 2020

ABSTRACTThe lack of treatment options for COVID-19 has raised many concerns among populations worldwide, which has led to many attempts to find alternative options to prevent the transmission of the disease or to alleviate the progression of the infection, including focusing more on preventive measures (to prevent transmission to other individuals) and the use of natural products and herbal extracts to increase immunity and decrease the probability of getting infected. This study explored the knowledge of the population of the Kingdom of Saudi Arabia (KSA) about COVID-19 preventive measures and their belief about the consumption of herbal products for the prevention of COVID-19 infection. A total of 5,258 individuals participated in this study. Participants’ knowledge about the appropriate COVID-19 preventive measures in terms of handwashing procedures, self-quarantine and social distancing was moderate, with a mean score of 5.5 (SD: 1.7) out of 10 (representing around 55.0% of the total score). About 22.1% (n= 1,161) of the participants reported that they have used herbal products or nutritional supplements during the pandemic period, to protect themselves from the disease. Social media and the Internet (39.4%, n= 372) were the main motivators for the participants to try herbal products. Vitamin C was the most commonly used food supplement to increase immunity and reduces the chance of contracting COVID-19. Our study demonstrated that the general population in Saudi Arabia has a moderate level of knowledge about COVID-19 transmission and preventive measures. A considerable proportion of the population reported the use of herbal products or food supplements in order to protect themselves from the disease. Policymakers are suggested to provide further educational campaigns that increase population knowledge about the disease transmission routes and preventive measures. In addition, the use of herbal products should be evidence-based to ensure patient safety.
How Previous Epidemics Enable Timelier COVID-19 Responses: A Cross-Sectional Study Using Organizational Memory Theory
Authors: Tsuei Sian Hsiang-Te 
Published: June 2020

AbstractIntroductionThere has been little systematic exploration of what affects timeliness of epidemic response, despite the potential for earlier responses to be more effective. Speculations have circulated that exposure to major epidemics helped health systems respond more quickly to COVID-19. This study leverages organizational memory theory to test whether health systems with any, more severe, more recent exposure to major epidemics enacted timelier COVID-19 policy responses.MethodsA dataset was constructed cataloguing 846 policies across 178 health systems in total, 37 of which had major epidemics within the last twenty years. Hypothesis testing used OLS regressions with WHO region fixed effects, controlling for several health system expenditure and political variables.ResultsResults show that exposure to any major epidemics was significantly associated with providing earlier response in any category or for surveillance / response, distancing, and international travel policies when tested alone or with total number of cases. The effect was about six to ten days earlier response. The significance was largely nullified with additional independent variables. Both total cases and years since previous epidemics showed no statistical significance.ConclusionThis study suggests that health systems may learn from past major epidemics. Policymakers ought to institutionalize lessons from COVID-19. Future studies can examine specific generalizable lessons and whether timelier responses correlated with lower health and economic impacts.What is already known about this subject?There has been little systematic exploration into what affects the timeliness of response to epidemics. For COVID-19, there has been speculation that previous exposure to major epidemics may have spurred timelier responses.What are the new findings?Applying organizational memory theory, this study identified policy response timeliness to COVID-19 was significantly associated with any past exposure to major epidemics within the last 20 years.What are the recommendations for policy and practice?The fact that any exposure to past epidemics is significantly associated with timelier responses suggest that health systems do learn from past mistakes. Institutionalizing the learnings through more permanent policies. Once COVID-19 fades, health systems may wish to revitalize the organizational memory through various exercises.
Optimization of fastener pattern in airframe assembly
Authors: Lupuleac Sergey , Pogarskaia Tatiana , Churilova Maria , Kokkolaras Michael , Bonhomme Elodie 
Published: June 2020

Purpose
The authors consider the problem of optimizing temporary fastener patterns in aircraft assembly. Minimizing the number of fasteners while maintaining final product quality is one of the key enablers for intensifying production in the aerospace industry. The purpose of this study is to formulate the fastener pattern optimization problem and compare different solving approaches on both test benchmarks and rear wing-to-fuselage assembly of an Airbus A350-900.

Design/methodology/approach
The first considered algorithm is based on a local exhaustive search. It is proved to be efficient and reliable but requires much computational effort. Secondly, the Mesh Adaptive Direct Search (MADS) implemented in NOMAD software (Nonlinear Optimization by Mesh Adaptive Direct Search) is used to apply the powerful mathematical machinery of surrogate modeling and associated optimization strategy. In addition, another popular optimization algorithm called simulated annealing (SA) was implemented. Since a single fastener pattern must be used for the entire aircraft series, cross-validation of obtained results was applied. The available measured initial gaps from 340 different aircraft of the A350-900 series were used.

Findings
The results indicated that SA cannot be applicable as its random character does not provide repeatable results and requires tens of runs for any optimization analysis. Both local variations (LV) method and MADS have proved to be appropriate as they improved the existing fastener pattern for all available gaps. The modification of the MADS' search step was performed to exploit all the information the authors have about the problem.

Originality/value
The paper presents deterministic and probabilistic optimization problem formulations and considers three different approaches for their solution. The existing fastener pattern was improved.
Design and implementation of power and area optimized AES architecture on FPGA for IoT application
Authors: P. Rajasekar , H. Mangalam 
Published: June 2020

Purpose
The growing trends in the usage of hand held devices necessitate the need to design them with low power consumption and less area design. Besides, information security is gaining enormous importance in information transmission and data storage technology. In addition, today’s technology world is connected, communicated and controlled via the Internet of Things (IoT). In many applications, the most standard and widely used cryptography algorithm for providing security is Advanced Encryption Standard (AES). This paper aims to design an efficient model of AES cryptography for low power and less area.

Design/methodology/approach
First, the main issues related to less area and low power consumption in the AES encryption core are addressed. To implement optimized AES core, the authors proposed optimized multiplicative inverse, affine transforms and Xtime multipliers functions, which are the core function of AES’s core. In addition, to achieve the high throughput, it uses the multistage pipeline and resource reuse architectures for SBox and Mixcolumn of AES.

Findings
The results of optimized AES architecture have revealed that the multistage pipe line and resource sharing are optimal design model in Field Programmable Gate Array (FPGA) implementation. It could provide high security with low power and area for IoT and wireless sensors networks.

Originality/value
This proposed optimized modified architecture has been implemented in FPGA to calculate the power, area and delay parameters. This multistage pipeline and resource sharing have promised to minimize the area and power.
Ability to identify extent of information need and access information as correlates of utilization of digital library resources by lecturers
Authors: Ikenwe Joy Iguehi , Anaehobi Sebastian Egbuna 
Published: June 2020

PurposeThe purpose of this paper is to investigate the relationship between lecturers’ ability to identify the extent of information need, access information and utilization of digital library resources in Federal Universities, Southern Nigeria.Design/methodology/approachCorrelational research design was adopted. The population of the study comprised 6,653 lecturers’ with a sample size of 665 selected through proportionate stratified random sampling technique. Instruments for data collection were cognitive test and questionnaire used for utilization of digital library resources. Kuder–Richardson method was used to establish the internal reliability coefficient, yielding the score 0.77, 0.78, respectively, and Cronbach alpha for questionnaire yielding 0.81. Data collected were analyzed using the Pearson product moment correlation coefficient. In testing the hypotheses,p-value was used to determine the level of significance at the 0.05 alpha level.FindingsThe results show low positive relationship between abilities to identify the extent of information, access information in the utilization of digital library resources. The hypotheses were rejected, indicating a positive relationship between abilities to identify extent of information need, access information and utilization of digital library resources.Originality/valueThe findings of this study provide novel facts that help to clarify existing uncertainties and ambiguity in the link between some elements of information literacy and the use of digital library resources in developing economies such as Nigeria.
Diversity in India: addressing caste, disability and gender
Authors: Haq Rana , Klarsfeld Alain , Kornau Angela , Ngunjiri Faith Wambura 
Published: June 2020

PurposeThe purpose of this paper is to present the diversity and equality perspectives from the national context of India and introduce a special issue about equality, diversity and inclusion (EDI) in India.Design/methodology/approachThis special issue consists of six articles on current EDI issues in India. The first three of the contributions are focused on descriptions of diversity challenges and policies regarding caste and disabilities, while the remaining three papers address gender diversity.FindingsIn addition to providing an overview of this issue's articles, this paper highlights developments and current themes in India's country-specific equality and diversity scholarship. Drawing on the special issue's six papers, the authors show the relevance of Western theories while also pointing to the need for reformulation of others in the context of India.Research limitations/implicationsThe authors conclude with a call to further explore diversity in India and to develop locally relevant, culture-sensitive theoretical frameworks. Religious and economic diversity should receive more attention in future diversity management scholarship in the Indian context.Originality/valueHow does India experience equality and diversity concepts? How are India's approaches similar or different from those experienced in other countries? How do theoretical frameworks originated in the West apply in India? Are new, locally grounded frameworks needed to better capture the developments at play? These questions are addressed by the contributions to this special issue.
Solar energy analysis in use and implementation in Mexico: a review
Authors: Silva Jorge Alejandro , Andrade María Antonieta 
Published: June 2020

Purpose
The purpose of this paper is to analyse how solar energy is harnessed and implemented in Mexico. This paper presents a diachronic analysis of the divergent literature presented into the subject with the themes being divided substantially.

Design/methodology/approach
This paper used at least five methods in the identification of the studies with the first being the use of the SCImago Institution Ranking followed by the use of Scopus for journal evaluation. SCImago was used to determine the efficiency of the journals with the Newcastle Ottawa scale allowing for the evaluation of the different case study articles presented on Mexico. The fourth tool was a 21-item STROBE checklist after which the Web of Science was used to determine the authenticity levels of the identified articles.

Findings
The implementation of solar energy technologies is still novel in Mexico with private and public entities working together towards building sustainable options. In addition, it cites the divergent merits that might stem from the use of solar energy technologies.

Originality/value
A myriad of articles has been presented concerning solar energy in Mexico, but no attempt has been made to synthesize the evidence and arguments made in this significant body of research. The subsequent review is original with its findings being valuable for current and future research.
Key factors of carbon footprint in the UK food supply chains: a new perspective of life cycle assessment
Authors: Ferguson Aikins Emmanuel , Ramanathan Usha 
Published: June 2020

PurposeThe purpose of this paper is to empirically identify key factors of UK food supply chains (SCs) that significantly contribute to CO2emissions (CO2e) taking into account the life cycle assessment (LCA). The UK food supply chain includes imports from other countries.Design/methodology/approachThis research develops a conceptual framework from extant literature. Secondary data obtained from ONS and FAOSTAT covering from 1990 to 2014 are analysed using Multilinear Regression (MLR) and Stochastic Frontier Analysis (SFA) to identify the factors relating to CO2emissions significance, and the efficient contributions that are being made to their reduction in the UK food supply chains.FindingsThe study results suggest that Transportation and Sales/Distribution are the two key factors of CO2emissions in UK food supply chains. This is confirmed by two multivariate methods, MLR and SFA. MLR results show that transportation increases UK CO2emissions by 10 tonnes of CO2emissions from one tonne of fruits and vegetables imports from overseas to the UK Sales and Distribution reduces the UK CO2emissions by 1.3 tonnes of CO2emissions due to improved, technological operation activities in the UK. In addition, the SFA results confirm that the key factors are sufficient to predict an increase or decrease in CO2emissions in the UK food supply chains.Research limitations/implicationsThis study has focused on the LCA of the UK food supply chain from limited data. Future studies should consider Sustainability Impact Assessment of the UK food supply chain, identifying the social, economic, regulatory and environmental impacts of the food supply chain using a re-defined LCA (all-inclusive assessment) tool.Practical implicationsThis research suggests that food supply chain professionals should improve efficiency, e.g. the use of solar energy and biogas, and also integrate low-carbon policies and practices in food supply chain operations. Furthermore, governments should encourage policies such as mobility management programmes, urban redevelopment and privatisation to enhance better transportation systems and infrastructure to continuously reduce CO2e from the food trade.Originality/valueAlthough logistics play a major role in CO2emissions, all logistics CO2emissions for other countries are not included in the ONS data. This research reveals some important insights into the UK food supply chains. Logistics and other food supply chain processes of importing countries significantly contribute to CO2emissions which are yet to be considered in the UK food SCs.
Q-Bot, the Quarantine Robot: Joint-media engagement between children and adults about quarantine living experiences
Authors: Tiwari Sonia 
Published: June 2020

Purpose
Information about the COVID-19 pandemic and quarantine can be challenging to communicate to children. The purpose of this study is to understand how a children’s eBook can help facilitate conversations between children, families and educators about the pandemic.

Design/methodology/approach
A children’s eBook Q-Bot: The Quarantine Robot was shared by the researcher with parents and teachers through social media (Facebook, Instagram and Twitter). The story provides information (based on CDC guidelines) on the best health and hygiene practices to avoid catching the virus, while also drawing attention to the hardworking people who are helping us through this experience. Data was collected as public comments on the eBook. Secondary data included other children’s eBooks available on the same theme and their public reviews.

Findings
Through open coding of comments, the researcher found that the children’s eBook helped in facilitation of discussion between children, parents and teachers; around the pandemic’s effects on health and hygiene practices; and remote learning experiences. A content analysis of other children’s books on this theme revealed a set of guidelines for designing helpful eBooks for pandemic quarantine situations in general.

Research limitations/implications
Education, media and health researchers may find this study helpful in understanding the potential of children’s eBooks as probes, prompts or communication tools.

Practical implications
Experts in pandemic-related issues, educators, illustrators and authors may find this study helpful in understanding guidelines for creating educational children’s eBooks for similar situations in the future.

Originality/value
Both theoretical and practical values are addressed through this study, as it provides helpful literature from past research, offers new insights from current study and guidelines for future work in narrative media design for the pandemic and other similar situations.
Promoting individual and group regulation through social connection: strategies for remote learning
Authors: MacMahon Stephanie , Leggett Jack , Carroll Annemaree 
Published: June 2020

PurposeIn a classroom, the teacher and other students play an important role in regulating individual and group learning. However, the sudden shift to remote and online learning, as a result of social isolation during COVID-19, has created a social disconnect, making these immediate regulatory supports less accessible. A need was identified for strategies to support collaborative learning regulation when learning remotely and online.Design/methodology/approachDrawing on models of self-, co, and socially shared learning regulation, a series of resources were developed for students, teachers and parents to support effective online collaborative learning. These strategies embedded evidence-based principles of learning drawn from the learning sciences, including elaboration, retrieval, dual coding and concrete examples.FindingsA set of ten student resources have been developed, accompanied by supporting information and strategies for teachers and families. These resources have been shared with schools across Australia.Originality/valueThese evidence-based strategies are valuable, as they are addressing an identified urgent community need. Based on the science of learning, these strategies are original in synthesising effective learning techniques with the three forms of learning regulation to encourage student connection and collaboration in online and remote learning.
Effects of enterprise social media usage on task performance through perceived task structure: the moderating role of perceived team diversity
Authors: Deng Manting , Liu Hefu , Huang Qian , Ding Guanqi 
Published: June 2020

PurposeOrganisations have widely adopted enterprise social media (ESM) to improve employees' task performance. This study aims to explore the mediating role of perceived task structure on the relationship between ESM usage and employee task performance. The authors investigate the moderating effects of perceived team diversity on the relationship between ESM usage and perceived task structure.Design/methodology/approachThe authors conducted a questionnaire survey in China on 251 working professionals who use social media in their respective organisations.FindingsResults showed that employees' perception of task structure considerably mediates the relationship between ESM usage and task performance. Findings also confirmed that perceived team diversity negatively affects the relationship between ESM usage and perceived task interdependence.Research limitations/implicationsPractitioners and/or managers should pay attention to the effect of ESM usage on employee's perceived task structure. Furthermore, they should focus on the level of team diversity when adopting ESM to enhance task performance.Originality/valueThis study contributes to the knowledge of perceived task structure in explaining the effect of ESM usage on task performance based on communication visibility theory. This work presents the relationship among ESM usage, perceived task structure, perceived team diversity and task performance. Moreover, this research enriches the literature on ESM usage by investigating the moderating roles of perceived team diversity whilst presenting the negative effects of perceived team diversity.