bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immune response against SARS-CoV-2 of primary healthcare personnel in a commune of Santiago, Chile: follow-up at 6 months
Authors: Olea A. , Matute I. , Hirmas M. , González C. , Iruretagoyena M. , Munita J. , Pedroni E. , Gómez MI. , Cortés L. , Hormazábal J. 
Published: August 2022

AbstractBackgroundThe COVID-19 pandemic that emerged in Wuhan, China at the end of 2019, spread rapidly around the world with almost 600 million cases and 6.3 million deaths today. The most affected were health workers with at least three times the risk of contracting the disease than the general community. Most studies on seroprevalence in health workers focus on hospital care establishments and what happens in Primary Health Care (PHC) has not been investigated with the same intensity.Objectivesto determine the prevalence and know the variation of antibody titers for SARS-CoV-2 in serial samples of primary healthcare personnel from the commune of La Pintana.Methodan analytical observational study with a cross-sectional and a longitudinal component, carried out from November 2020 to June 2021. The first component consisted of an IgG antibody seroprevalence study performed at baseline (time 0) in volunteer of a universe of 900 workers. The longitudinal component considered the monitoring of IgG antibodies in those who presented a positive result at baseline and the analysis of neutralizing antibodies in a random sub-sample of 50% of them. Additionally, sociodemographic and clinical information was collected via a questionnaire. Univariate, bivariate, and longitudinal analyses were performed to evaluate differences in antibodies. The study was approved by the Universidad del Desarrollo’s Scientific Ethics Committee.Results463 primary healthcare workers participated, mostly women and with a median of 38 years; doctors and nurses represented 9.5% each and 14.7% had a history of COVID-19. The seroprevalence at baseline was 22.3% and was associated with younger age, being a doctor and having been in close contact of a case. IgG titers increased with the vaccine, but decreased over time. At the 6-month follow-up, 76% had neutralizing antibodies. Those belonging to indigenous peoples had higher IgG levels and higher rates of neutralizing antibodies.ConclusionHealthcare workers were highly affected by COVID-19, and the medical profession and younger age were factors associated with increased risk. Antibodies decrease over time, highlighting the importance of follow-up studies, as well as the importance of vaccination boosters in healthcare workers, especially those in PHC.FinancingThis project was funded by the Universidad del Desarrollo, COVID19-UDD 2020-21 Funds.
Tourists' perceptions of and reactions to child sex tourism: an exploratory qualitative investigation
Authors: Aston Joshua , Wen Jun , Yang Shaohua 
Published: August 2022

PurposeUsing a qualitative approach, this cross-disciplinary study integrating modern slavery, tourism and marketing expertise outlines Chinese outbound tourists' perceptions of and reactions to issues related to child sex tourism.Design/methodology/approachIn total, 27 in-depth interviews were conducted, and data were analysed. Manual coding was chosen as an efficient method to process qualitative interview data given the relatively small sample size in this study.FindingsThree main themes emerged from analysis: (1) tourists' negative perceptions of child sex tourism; (2) tourist boycotts against child sex tourism destinations and activities as reactions to this socially deviant and illegal phenomenon and (3) tourist advocacy to enhance public awareness of child sex tourism. These themes suggest that tourists, as key tourism stakeholders, have difficulty accepting that child sex tourism occurs and would like to identify solutions to end illegal activities. Tourist boycotts would positively affect sustainable tourism development by eliminating illegal businesses, including those involving child prostitution, from the tourism industry. The qualitative method is applied here to develop a conceptual framework explaining tourists' perceptions of and reactions to child sex tourism.Practical implicationsA conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Although this framework takes child sex tourism as its focus, it can also be applied to better understand tourists' perspectives of other socially deviant or illegal behaviours within the tourism industry. The findings of this study provide valuable implications for various tourism stakeholders.Originality/valueThe current study makes significant theoretical and practical contributions to an under-researched topic – child sex tourism. A conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Findings from this study may inspire campaigns to protect children from being drawn into sex tourism. Efforts should also be undertaken to rescue children who have already been victimised by illegal businesses.
Circularity of food systems: a review and research agenda
Authors: De Bernardi Paola , Bertello Alberto , Forliano Canio 
Published: August 2022

PurposeThe purpose of this paper is to appraise and evaluate empirical research on circular economy in food systems, consolidating the existing knowledge and identifying shortcomings in this emerging body of research.Design/methodology/approachThe authors conducted a systematic literature review of 136 studies from the electronic databases Scopus and Web of Science. The authors also developed a thematic analysis and summarized the results in a framework.FindingsThe authors identified seven critical issues for the transition to circular food systems: consumer behavior, multistakeholder coordination, business models, digital technologies, barriers, transition processes and performance and measurement systems. Moreover, the authors provide an agenda for future research on these topics.Originality/valueWhile reviews on the circular economy are spreading rapidly, no reviews have comprehensively addressed the critical issues for the transition to circular food systems in the business, management, and organization domains.
Grid-connected solar photovoltaic-fed brushless DC motor drive for water pumping system using colliding body optimization technique
Authors: Kar Biranchi Narayan , Samuel Paulson , Pradhan Jatin Kumar , Mallick Amit 
Published: August 2022

Purpose
This paper aims to present an improvement to the power quality of the grid by using a colliding body optimization (CBO) based proportional-integral (PI) compensated design for a grid-connected solar photovoltaic-fed brushless DC motor (BLDC)-driven water pumping system with a bidirectional power flow control. The system with bidirectional power flow allows driving the pump at full proportions uninterruptedly irrespective of the weather conditions and feeding a grid when water pumping is not required.

Design/methodology/approach
Here, power quality issue is taken care of by the optimal generation of the duty cycle of the voltage source converter. The duty cycle is optimally generated by optimal selection of the gains of the current controller (i.e. PI), with the CBO technique resulting in a nearly unity power factor as well as lower total harmonic distortion (THD) of input current. In the CBO technique, the gains of the PI controller are considered as agents and collide with each other to obtain the best value. The system is simulated using MATLAB/Simulink and validated in real time with OPAL RT simulator, OP5700.

Findings
It was found that the power quality of grid using the CBO technique has improved much better than the particle swarm optimization and Zeigler–Nichols approach. The bidirectional flow of control of VSC allowed for optimum resource utilization and full capacity of water pumping whatever may be weather conditions.

Originality/value
Improved power quality of grid by optimally generation of the duty cycle for the proposed system. A unit vector tamplate generation technique is used for bidirectional power transfer.
Challenges for professionalism in civil defense and protection
Authors: Bonelli Maria da Glória , Damacena Fernanda , Silveira Viana Aline , Gambardella Alice Dianezi , Marchezini Victor 
Published: August 2022

PurposeThis article discusses the professional status of civil defense and protection agents and coordinators in Brazil, their working conditions and demands for professionalization in disaster risk management.Design/methodology/approachTwo online surveys with operators and civil defense and protection managers and documentary analysis based this research. The first survey engaged 1,933 participants who provided information about the working conditions at municipal civil defense, while the second involved 1,344 civil respondents who assessed their roles and duties in disaster risk management.FindingsCivil defense and protection agents pointed to the high turnover in these positions as the main factor for setbacks in disaster risk reduction, allied to precarious working conditions, lack of training, and unclear responsibilities in disaster risk management.Originality/valueThis paper contributes to the international debate on the professionalization of civil defense and protection and disaster risk management, bringing some insights from the sociology of professions. It has a policy impact of suggesting pathways to the inclusion of civil defense and protection in the Brazilian Occupational Classification to advance professional patterns and public recognition of disaster risk management careers.
Selecting control strategies in projects of intangible outputs: empirical evidence from architectural and engineering design projects
Authors: Ning Yan , Ling Florence Yean Yng 
Published: August 2022

PurposeProject managers rely on control strategies to deliver excellent outputs. However, little is known about how clients' project managers select control strategies in projects which are knowledge-intensive and have intangible outputs. This study aims to examine how clients' project managers select project control strategies in professional service projects.Design/methodology/approachA questionnaire survey of 360 architectural and engineering (A/E) design projects was adopted. Data were analyzed through the hierarchical regression.FindingsBoth clients' knowledge of measuring outcomes and process uncertainty give rise to their project managers setting up behavior and social controls. Level of process uncertainty positively moderates the impact of client's knowledge of measuring outcomes on outcome control.Research limitations/implicationsThis study mainly examined the client's knowledge of measuring outcomes and process uncertainties. Future studies could be conducted to expand the scope by including other contextual factors, for instance market and regulatory factors.Practical implicationsFrom the client side, if they want to simultaneously adopt outcome, behavior and social controls, they would need to increase their knowledge of measuring outcomes by adopting established assessment tools or appointing a third party to assist in design outcome evaluation.Originality/valueThis study contributes to the body of knowledge by showing that the level of intangibility of project outputs influences the types of control system which project managers adopt.
A dynamic calculation model of the carbon footprint in the life cycle of hospital building: a case study in China
Authors: Yue Jianjin , Li Wenrui , Cheng Jian , Xiong Hongxing , Xue Yu , Deng Xiang , Zheng Tinghui 
Published: August 2022

PurposeThe calculation of buildings’ carbon footprint (CFP) is an important basis for formulating energy-saving and emission-reduction plans for building. As an important building type, there is currently no model that considers the time factor to accurately calculate the CFP of hospital building throughout their life cycle. This paper aims to establish a CFP calculation model that covers the life cycle of hospital building and considers time factor.Design/methodology/approachOn the basis of field and literature research, the basic framework is built using dynamic life cycle assessment (DLCA), and the gray prediction model is used to predict the future value. Finally, a CFP model covering the whole life cycle has been constructed and applied to a hospital building in China.FindingsThe results applied to the case show that the CO2 emission in the operation stage of the hospital building is much higher than that in other stages, and the total CO2 emission in the dynamic and static analysis operation stage accounts for 83.66% and 79.03%, respectively; the difference of annual average emission of CO2 reached 28.33%. The research results show that DLCA is more accurate than traditional static life cycle assessment (LCA) when measuring long-term objects such as carbon emissions in the whole life cycle of hospital building.Originality/valueThis research established a carbon emission calculation model that covers the life cycle of hospital building and considered time factor, which enriches the research on carbon emission of hospital building, a special and extensive public building, and dynamically quantifies the resource consumption of hospital building in the life cycle. This paper provided a certain reference for the green design, energy saving, emission reduction and efficient use of hospital building, obviously, the limitation is that this model is only applicable to hospital building.
An efficient model for copy-move image forgery detection
Authors: Huynh Kha-Tu , Ly Tu-Nga , Le-Tien Thuong 
Published: August 2022

Purpose
This study aims to solve problems of detecting copy-move images. With input images, the problem aims to: Confirm the original or forgery of the images, evaluate the performance of the detection and compare the proposed method’s effectiveness to the related ones.

Design/methodology/approach
This paper proposes an algorithm to identify copy-move images by matching the characteristics of objects in the same group. The method is carried out through two stages of grouping the objects and comparing objects’ features. The classification and clustering can improve processing time by skipping groups of only one object, and feature comparison on objects in the same group improves accuracy of the detection. YOLO5, the latest version of you only look once (YOLO) developed by Ultralytics LLC, and K-means are applied to classify and group the objects in the first stage. Then, modified Zernike moments (MZMs) and correlation coefficients are used for the features extraction and matching in the second stage. The Open Images V6 data set is used to train the YOLO5 model. The combination of YOLO5 and MZM makes the effectiveness of the proposed method for copy-move image detection with an average accuracy of 94.26% for images of benchmark and MICC-F600 and 95.37% for natural images. The outstanding feature of the method is that it can balance both processing time and accuracy in detecting duplicate regions on the image.

Findings
The problem is then solved by doing the following steps: Build a method to detect objects and compare their features to find the similarity if they are copy-move objects; use YOLO5 for the object detection and group the same category objects; ignore the group having only one object and extract the features of the other groups by MZMs; detect copy-move regions using K-means clustering; and calculate and compare the detection accuracy of the proposed method and related methods.

Originality/value
The main contributions of this paper include: Reduce the processing time by using YOLO5 in objects detection and K-means in clustering; improve the accuracy by using MZM to extract features and correlation coefficients to matching them; and implement and prove the effectiveness of the proposed method for three copy-move data sets: benchmark, MICC-F600 and author-built images.
Entrepreneurship as a career choice for Emirati women: a social cognitive perspective
Authors: Shetty Khyati , Fitzsimmons Jason R. , Anand Amitabh 
Published: August 2022

PurposeThe purpose of this study is to utilize social cognitive theory to investigate how social comparison orientations, individual cognitive, and environmental factors influence females' decisions to pursue self-employment in the United Arab Emirates In doing so, the authors explore how the entrepreneurial self-efficacy of Emirati women also influences individuals towards entrepreneurship.Design/methodology/approachUsing a survey instrument administered in both English and Arabic, data were collected from one hundred and three (103) employed Emirati women and eighty-four (84) self-employed Emirati women who were taking part in workshops conducted by the Dubai Chamber of Commerce.FindingsThe results from the study suggest that the social environment is a contributing factor toward self-employment, with higher levels of social comparison orientation increasing the likelihood of Emirati women being self-employed. Consistent with prior research, the authors also find that internal cognitive factors also play a significant role, with Emirati women possessing higher levels of entrepreneurial self-efficacy and having a higher likelihood of being self-employed.Originality/valueThis is one of the few studies aimed at exploring the role of social comparison orientation as a factor in motivating females towards entrepreneurship in the Middle East and North African (MENA) region.
The mediating role of customer knowledge management on the innovative work behavior and product innovation relationship
Authors: Bratianu Constantin , Stănescu Dan Florin , Mocanu Rares 
Published: August 2022

PurposeThe purpose of the present research is to introduce a combined framework that integrates innovative work behavior, product innovation process and customer knowledge management; then, to explore the mediating effect of customer knowledge management in the relationship between innovative work behavior and the product innovation process.Design/methodology/approachThe basis for the present research is a cross-sectional design. Data collection from 154 employees occurred using the following structured questionnaires: Customer Knowledge Management (CKM), Innovative Work Behavior (IWB) and Product Innovation Process (PIP). Data processing used SPSS version 26.0, including the PROCESS (3.5) macro analysis.FindingsThe results show positive relationships between innovative work behavior and the product innovation process (r = 0.420, p < 0.01). Pearson's correlation shows a coefficient of 0.42, meaning that 42% of the variations in perceived product innovation are due to variations in innovative work behavior. The second condition of the mediation test involved testing the relationship between the independent variable (Innovative Work Behavior) and the mediating variable (Knowledge Management) and showed a significant relationship (r = 0.272, p < 0.01). The findings suggested that knowledge management that other determinants supported, such as collaboration in idea exploration, idea championing and encouragement of participation in idea implementation, significantly contributed to the product innovation process (r = 0.509, p < 0.01). The bootstrapping method confirmed that innovative work behavior supports product innovation through the mediation of customer knowledge management (z = 3.01, p = 0.002).Research limitations/implicationsThe cross-sectional design, along with the relatively low number of participants and the self-reporting nature of the questionnaires, represent the current study's main limitations. Developing the research model could integrate new variables, such as customer co-creation processes, performance-based compensation, employee citizenship activities and transformational leadership.Practical implicationsThis research has both theoretical and practical implications. These emphasize the importance of further investigation into the factors influencing companies' innovation processes. They also provide managers with a means of finding a fit between the deployment of customer knowledge mechanisms and the achievement of innovative workplace behavior, to improve innovation process efficiency.Originality/valueThe current study broadens the empirical research area of customer knowledge management and its impact on both innovative work behavior and the product innovation process, particularly in knowledge-intensive market scenarios that require organizations to be innovative.
Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay
Authors: Garate Leire , Alonso‐Sáez Laura , Revilla Marta , Logares Ramiro , Lanzén Anders 
Published: August 2022

AbstractPico‐ and nanoplankton are key players in the marine ecosystems due to their implication in the biogeochemical cycles, nutrient recycling and the pelagic food webs. However, the specific dynamics and niches of most bacterial, archaeal and eukaryotic plankton remain unknown, as well as the interactions between them. Better characterization of these is critical for understanding and predicting ecosystem functioning under anthropogenic pressures. We used environmental DNA metabarcoding across a 6‐year time series to explore the structure and seasonality of pico‐ and nanoplankton communities in two sites of the Bay of Biscay, one coastal and one offshore, and construct association networks to reveal potential keystone and connector taxa. Temporal trends in alpha diversity were similar between the two sites, and concurrent communities more similar than within the same site at different times. However, we found differences between the network topologies of the two sites, with both shared and site‐specific keystones and connectors. For example, Micromonas, with lower abundance in the offshore site is a keystone here, indicating a stronger effect of associations such as resource competition. This study provides an example of how time series and association network analysis can reveal how similar communities may function differently despite being geographically close.