bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical course and potential predictive factors for pneumonia of adult patients with Coronavirus Disease 2019 (COVID-19): a retrospective observational analysis of 193 confirmed cases in Thailand
Authors: Pongpirul Wannarat A. , Wiboonchutikul Surasak , Charoenpong Lantharita , Panitantum Nayot , Vachiraphan Apichart , Uttayamakul Sumonmal , Pongpirul Krit , Manosuthi Weerawat , Prasithsirikul Wisit 
Published: June 2020

AbstractBackgroundClinical spectrum of Coronavirus Disease 2019 (COVID-19) remains unclear, especially with regard to the presence of pneumonia. We aimed to describe the clinical course and final outcomes of adult patients with laboratory-confirmed COVID-19 in the full spectrum of disease severity. We also aimed to identify potential predictive factors for COVID-19 pneumonia.Methods and findingsWe conducted a retrospective study among adult patients with laboratory-confirmed COVID-19 who were hospitalized at Bamrasnaradura Infectious Diseases Institute, Thailand, between January 8 and April 16, 2020. One-hundred-and-ninety-three patients were included. The median (IQR) age was 37.0 (29.0-53.0) years, and 58.5% were male. More than half (56%) of the patients were mild disease severity, 22% were moderate, 14% were severe, and 3% were critical. Asymptomatic infection was found in 5%. The final clinical outcomes in 189 (97.9%) were recovered and 4 (2.1%) were deceased. The incidence of pneumonia was 39%. In multivariable logistic regression, increasing age (OR 2.55 per 10-year increase from 30 years old; 95% CI, 1.67-3.90; p<0.001), obesity (OR 8.74; 95%CI, 2.06-37.18; p=0.003), and higher temperature at presentation (OR 4.59 per 1°C increase from 37.2 °C; 95% CI, 2.30-9.17; p<0.001) were potential predictive factors for COVID-19 pneumonia.ConclusionAcross the spectrum of disease severities, most patients with COVID-19 in our cohort had good final clinical outcomes. COVID-19 pneumonia was found in one-third of them. Older age, obesity, and higher fever at presentation were independent predictors of COVID-19 pneumonia.Author summaryThis report describes the clinical course and final clinical outcomes of the full spectrum of disease severity of Coronavirus Disease 2019 (COVID-19) and evaluates risk factors of pneumonia in 193 laboratory-confirmed cases of COVID-19 in the Bamrasnaradura Infectious Diseases Institute, Thailand. The majority of patients with COVID-19 had mild disease. COVID-19 pneumonia was found in approximately 40% of patients. Older age, obesity, and higher grade of fever at presentation were independent risk factors of pneumonia in adult patients with COVID-19. Most patients in our cohort recovered and were discharged from hospital (recovery rate, 98%). Our findings can help the public health systems to estimate the burden of the disease and identify vulnerable patients in a timely manner.
The psychological effects of quarantine during COVID-19 outbreak: Sentiment analysis of social media data
Authors: Lu Weisheng , Yuan Liang , Xu Jinying , Xue Fan , Zhao Bin , Webster Chris 
Published: June 2020

AbstractWe rely on social distancing measures such as quarantine and isolation to contain the COVID-19. However, the negative psychological effects of these measures are non-negligible. To supplement previous research on psychological effects after quarantine, this research will investigate the effects of quarantine amid COVID-19. We adopt a sentiment analysis approach to analyze the psychological state changes of 1,278 quarantined persons’ 214,874 tweets over four weeks spanning the period before, during, and after quarantine. We formed a control group of 1,278 unquarantined persons with 250,198 tweets. The tweets of both groups are analyzed by matching with a lexicon to measure the anxious depression level changes over time. We discovered a clear pattern of psychological changes for quarantined persons. Anxious depression levels significantly increased as quarantine starts, but gradually diminished as it progresses. However, anxious depression levels resurged after 14 days’ quarantine. It was found that quarantine has a negative impact on mental health of quarantined and unquarantined people. Whilst quarantine is deemed necessary, proper interventions such as emotion management should be introduced to mitigate its adverse psychological impacts.
Terpene Synthases and Terpene Variation in Cannabis sativa
Authors: Booth Judith K. , Yuen Macaire M.S. , Jancsik Sharon , Madilao Lufiani L. , Page Jonathan E. , Bohlmann Jörg 
Published: June 2020

Abstract
Cannabis (Cannabis sativa) resin is the foundation of a multibillion dollar medicinal and recreational plant bioproducts industry. Major components of the cannabis resin are the cannabinoids and terpenes. Variations of cannabis terpene profiles contribute much to the different flavor and fragrance phenotypes that affect consumer preferences. A major problem in the cannabis industry is the lack of proper metabolic characterization of many of the existing cultivars, combined with sometimes incorrect cultivar labeling. We characterized foliar terpene profiles of plants grown from 32 seed sources and found large variation both within and between sets of plants labeled as the same cultivar. We selected five plants representing different cultivars with contrasting terpene profiles for clonal propagation, floral metabolite profiling, and trichome-specific transcriptome sequencing. Sequence analysis of these five cultivars and the reference genome of cv Purple Kush revealed a total of 33 different cannabis terpene synthase (CsTPS) genes, as well as variations of the CsTPS gene family and differential expression of terpenoid and cannabinoid pathway genes between cultivars. Our annotation of the cv Purple Kush reference genome identified 19 complete CsTPS gene models, and tandem arrays of isoprenoid and cannabinoid biosynthetic genes. An updated phylogeny of the CsTPS gene family showed three cannabis-specific clades, including a clade of sesquiterpene synthases within the TPS-b subfamily that typically contains mostly monoterpene synthases. The CsTPSs described and functionally characterized here include 13 that had not been previously characterized and that collectively explain a diverse range of cannabis terpenes.
Using social networking applications to facilitate change implementation processes: insights from organizational change stakeholders
Authors: Naeem Muhammad 
Published: June 2020

PurposeThe failure rate of change is high amongst countries and cultures where collectivism, destructive politics and resistance are high. Therefore, change leaders are more focused on exploring how they can create networking and socialization amongst major organizational stakeholders that can minimize detrimental cynicism and lobbying during change implementation. This study is an attempt to shed light on how Social Networking Applications (henceforth SNAs) can facilitate change implementation processes in the insurance sector.Design/methodology/approachThe individual reaction and interaction realities during the change process cannot be discovered once and for all as there are varied perspectives on the same subjects. Therefore, a social constructionist position was used to understand the different realties of change managers and change recipients using the context of insurance sector.FindingsThe study documented how SNAs can play an active role in addressing the concerns of employees as well as managing and protecting knowledge sharing to facilitate the change implementation process. The collaborative and interactive nature of SNAs can enhance richness in knowledge sharing and can facilitate the participation of employees. Therefore, management should monitor these platforms as a means to improve the change process and to address the concerns of employees. These networking channels which include WhatsApp and Facebook can enhance social interactions, support and acceptance at individual and organizational levels.Research limitations/implicationsSocial media has become a familiar tool for employees to use to discuss internal changes and policies within their organizations. Social media enhances the richness, reach, knowledge exchange and effective internal communication potential amongst organizational change stakeholders. Using social media, change recipients are now more empowered and connected with their leadership that ever before. It is now easier to facilitate decision making during the change formulation and implementation process.Practical implicationsSocial media applications have become necessary to ensure incremental and radical changes to the survival of dynamic businesses. The findings of this study are beneficial for change leaders and recipients of change to implement successful organizational change using social media tools. The effective and efficient use of social media applications helps organizations to foster knowledge amongst employees and they can address various critical issues, that is resistance to change, lower levels of knowledge sharing and support for change acceptance and lack of employee participation in decision making.Originality/valueThere is an inadequate understanding regarding how SNAs play a role in facilitating the change process in both public and private sector organizations. This study offers a social mchange facilitation model with the help of social learning, social networking and social behaviourism theories.
Exploring and verifying BIM-based energy simulation for building operations
Authors: Li Hong Xian , Ma Zhiliang , Liu Hexu , Wang Jun , Al-Hussein Mohamed , Mills Anthony 
Published: June 2020

PurposeThe operational phase of a building's lifecycle is receiving increasing attention, as it consumes an enormous amount of energy and results in tremendous detrimental impacts on the environment. While energy simulation can be applied as a tool to evaluate the energy performance of a building in operation, the emergence of Building Information Modeling (BIM) technology is expected to facilitate the evaluation process with predefined and enriched building information. However, such an approach has been confronted by the challenge of interoperability issues among the related application software, including the BIM tools and energy simulation tools, and the results of simulation have been seldom verified due to the unavailability of corresponding experimental data. This study aims to explore the interoperability between the commonly used energy simulation and BIM tools and verifies the simulation approach by undertaking a case study.Design/methodology/approachWith Autodesk Revit and EnergyPlus selected as the commonly used BIM and energy simulation tools, respectively, a valid technical framework of transferring building information between two tools is proposed, and the interoperability issues that occur during the data transfer are studied. The proposed framework is then employed to simulate the energy consumption of a single-family house, and sensitivity analysis and analysis on such parameters as schedule are conducted for building operations to showcase its applicability.FindingsThe simulation results are compared with monitored data and the results from another simulation tool, HOT2000; the comparison reveals that EnergyPlus and HOT2000 predict the total energy consumption with a difference from the monitoring data of 8.0 and 7.1%, respectively.Practical implicationsThis research shows how to efficiently use BIM to support building energy simulation. Relevant stakeholders can learn from this research to avoid data loss during BIM model transformation.Originality/valueThis research explores the application of BIM for building energy simulation, compares the simulation results among different tools and validates simulation results using monitored data.
Guanxi HRM and employee well-being in China
Authors: Liu Li , Jia Yu 
Published: June 2020

PurposeDrawing on basic psychological needs theory, this paper aims to delineate how an indigenous Chinese concept guanxi HRM would undermine employee well-being in China.Design/methodology/approachThe authors tested this moderated mediation model based on a survey of 321 Chinese employees.FindingsThe results are consistent with the hypotheses except for the moderating effect when employee well-being is operationalised as emotional exhaustion.Originality/valueThis study contributes to the literature by investigating the dark side of guanxi via basic psychological needs theory and acknowledging the multidimensionality of employee well-being in the Chinese workplace.
Effect of systematic completion on public construction projects
Authors: Beste Teresa 
Published: June 2020

Purpose
The purpose of this paper is to analyze the effect of a systematic commissioning process on project management performance of construction projects, expressed as cost, time, quality and customer satisfaction. The building commissioner in focus uses the term systematic completion (SC), defining it as a structured process, throughout the whole project assuring the fulfillment of functional requirements in the building.

Design/methodology/approach
A qualitative single case study was used to analyze the effect of a SC process by one Norwegian building commissioner in the public sector, exemplified with four projects. The analysis was conducted by studying project documents and conducting interviews.

Findings
SC has a positive effect on the performance of a construction project, enabling completion on cost, schedule and with fewer defects at handover. Involving facility management assures mutual learning, trained operations personnel and potentially lower costs of operations because of fewer corrections and optimized systems. Higher efforts and resource use in the early phases of the project and in testing are largely offset by the generated benefits.

Research limitations/implications
This case study is limited to the building commissioner’s perspective in four projects. The design team’s, the contractor’s and the client’s perspectives are not represented in the study. Only one of the projects is completed, which limits the ability to draw quantitative conclusions.

Originality/value
Existing studies focus on the technical aspect of SC. The present study provides valuable insights into the effect of SC on project management performance, especially on its implications for the takeover of the building by operations.
E-learning design and entrepreneurship in three European universities
Authors: Gentile Teresa Anna Rita , Reina Rocco , De Nito Ernesto , Bizjak Davide , Canonico Paolo 
Published: June 2020

PurposeAccording to Fee (2009), e-learning systems have three components: technology, learning content and e-learning design. Few studies have examined e-learning design as an educational process, although universities are increasingly using e-learning as they become more entrepreneurial. This article aimed to investigate how universities approach e-learning design.Design/methodology/approachThe study used a mixed methods approach. First, the authors carried out a quantitative analysis of the websites of the top 100 European universities in the Quacquarelli Symonds Ranking. The authors then moved to a qualitative approach, analyzing a pilot case and three case studies. Semistructured interviews were conducted with managers of e-learning services at the chosen European universities.FindingsThe 100 best European universities in the Quacquarelli Symonds Rankings all use e-learning methods. The case study universities were selected from this list. The semistructured interviews with managers of e-learning services highlighted the importance of the design of e-learning courses. However, most focused on the professional figures involved, rather than the process for e-learning and the overall design of the course.Originality/valueThe article provides a detailed study of e-learning design in an educational context. The analysis of multiple case studies allowed the authors to identify how the selected universities carry out didactic design activity through the use of technology. It therefore contributes to knowledge of cases of digital academic entrepreneurship.
Incentive magnitude and reference point shifting: a laboratory experiment
Authors: Giusti Giovanni , Dopeso-Fernández Roberto 
Published: June 2020

PurposeThis paper analyzes how different dynamics of changes in piece-rate incentives affect individuals' exerted effort.Design/methodology/approachThe authors constructed an across-subjects three-period laboratory setting where, for each period, they exogenously manipulate the amount of piece-rate incentive paid for correct answer. The same experimental conditions were separately applied to two different laboratory tasks, one boring and the other entertaining.FindingsIt was found that performance contingent incentives affect participants' effort provision, while the effect is task dependent and it is much stronger for the boring task. Moreover, a unique increase in the amount of piece rate between periods leads to an increase in performance only for the boring task. A decrease in piece rate incentive between periods negatively affects subjects' performance on both tasks, but only provided that the decrease follows a previous increase.Originality/valueThe paper is the first to study the effect of a sequence of changes in the amount of piece rate incentives on individual effort provided. Our main result highlights the relevance of the order in which the sequence of changes in piece-rate incentive occurs. Results could be useful for the designing of performance rewards in organizations.
Personality traits as an engine of knowledge: a quantile regression analysis
Authors: Polemis Michael 
Published: June 2020

PurposeWe use disaggregated survey data set to investigate the impact of personality traits on the level of education in the USA. We attempt to shed light on the contribution of each of the Big Five personality traits on the education decision made by the individuals.Design/methodology/approachWe use the quantile regression analysis in order to investigate to what extent certain aspects of personality may help an individual to invest in education.FindingsOur findings uncover a significant effect of noncognitive skills on the level of education. It is shown that people with high emotional stability and agreeableness invest in human capital, especially when we move to the higher quantiles of the conditional distribution function. Moreover, we argue that the estimated signs of the traits remain stable across the quantiles, while the relevant curvatures indicate for the first time in the empirical literature, the presence of nonlinear effects. Last, our model survived robustness checks under the inclusion of two aggregated higher-order factors, namely “Alpha” and “Beta.”Research limitations/implicationsAlthough we used several control variables (e.g. Gender, Age) to address the impact of noncognitive skills on education, special attention should be given to the use of additional socioeconomic indicators such as the skin color of participants, the urbanization rate, the level of unemployment, the level of income, parental education among others. These measures affect the causality driven by the inclusion of certain economic and demographic characteristics and minimize the endogeneity bias drawn from the inclusion of the sample variables. One additional limitation is that the survey-based data refer only to people with higher education (>13 years of study). Therefore, our empirical findings must be tested on a richer sample to capture the effect of personality traits on a broad spectrum of educational stages (e.g. early learning years, primary education, secondary education, etc.).Originality/valueOur empirical findings add enough new insights to the existing literature. First, we attempt to assess the role of noncognitive skills proxied by the Big Five Inventory (hereafter “BFI”) on the education decision made by the individuals. Second, we provide fresh evidence of nonlinear effects between personality traits and education totally ignored by the existing literature. Our third contribution is to analyze the role of personality in enhancing the importance of investment in higher education as a determinant of individual behavior. In this way, we contribute to the growing field of behavioral economics since the study of noncognitive skills offers a range of new ideas and expanding research opportunities for social scientists (economists, psychologists, sociologists, etc.).
How academic leaders facilitate knowledge sharing: a case of universities in Hong Kong
Authors: Lo Man Fung , Tian Feng 
Published: June 2020

PurposeThe objective of this study is to investigate the factors of two sub-processes – knowledge donating and knowledge collecting – of knowledge sharing in Hong Kong higher education context. This study examines the individual factors, organizational factors and technology factor of knowledge sharing. Individual factors include enjoyment in helping others and knowledge self-efficacy while organizational factors refer to the top management support, organizational rewards and organizational culture. The use of technology system is proposed to be the technology factor.Design/methodology/approachBased on the literature review, this study develops a structural model representing the impact of six latent variables on knowledge donating and knowledge collecting processes Data from a questionnaire survey of 166 respondents from academics from Hong Kong higher education sector was used to analyze the model. PLS-SEM was adopted in this study.FindingsThe result of the data analysis suggests enjoyment in helping others has a positive impact on both knowledge donating and knowledge collecting. For organizational factors, a trust and collaborative culture enhance both the sub-processes. The technology factor only contributes to the knowledge donating process. Several practical implications are provided to high education leaders, for instance, by establishing a trust and collaborative environment, academics are more eager to donate and collect knowledge.Originality/valueThis paper provides insights for researchers to further understand how individual, organizational and technology factors affect two sub-processes of knowledge sharing. On the practical side, this study validated several critical factors to successful knowledge donation and knowledge collection.
Adaptive market hypothesis and investor sentiments: global evidence
Authors: Tripathi Abhinava , Vipul Vipul , Dixit Alok 
Published: June 2020

PurposeThe purpose of this study is to investigate the adaptive market hypothesis (AMH) for 21 major global market indices for the period 1998–2018. These market indices cover the 16 largest global financial markets.Design/methodology/approachQuantile-regression methodology is employed to examine the market efficiency of a large number of financial markets from America, Europe and the Asia–Pacific region.FindingsThe results show that the returns in higher quantiles are negatively autocorrelated, and those in lower quantiles are positively autocorrelated. This evidence is stronger for the tails of return distribution. The positive autocorrelation (momentum effect) suggests market underreaction, and the negative autocorrelation (reversal effect) suggests overreaction. Overall, market efficiency appears to be time-varying and conditioned to the state of the market.Originality/valueThis study offers considerable evidence in favor of the AMH, for a large number of financial markets. These markets are substantially different from each other in terms of geography, nature of operation and size of the economy. The results from this study would be helpful to the academics, regulators and practitioners interested in financial markets.