bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image recognition based on deep learning in Haemonchus contortus motility assays
Authors: Žofka Martin , Nguyen Linh Thuy , Mašátová Eva , Matoušková Petra 
Published: December 2021

AbstractPoor efficacy of some anthelmintics and rising concerns about the widespread drug resistance have highlighted the need for new drug discovery. The parasitic nematode Haemonchus contortus is an important model organism widely used for studies of drug resistance and drug screening with the current gold standard being the motility assay. We applied a deep learning approach Mask R-CNN for analysing motility videos containing varying rates of motile worms and compared it to other commonly used algorithms with different levels of complexity, namely the Wiggle Index and the Wide Field-of-View Nematode Tracking Platform. Mask R-CNN consistently outperformed the other algorithms in terms of the detection of worms as well as the precision of motility forecasts, having a mean absolute percentage error of 7.6% and a mean absolute error of 5.6% for the detection and motility forecasts, respectively. Using Mask R-CNN for motility assays confirmed the common problem with algorithms that use non-maximum suppression in detecting overlapping objects, which negatively impacts the overall precision. The use of intersect over union as a measure of the classification of motile / non-motile instances had an overall accuracy of 89%, indicating that it is a viable alternative to previously used methods based on movement characteristics, such as body bends. In comparison to the existing methods evaluated here, Mask R-CNN performed better and we anticipate that this method will broaden the number of possible approaches to video analysis of worm motility.
Neighborhood micro-renewal: a perspective of gene in China
Authors: Zhao Guochao , Yu Xiaofen , Zhang Juanfeng , Li Wenxia , Wu Peiyi 
Published: December 2021

PurposeImprovement of the environment quality and human development has become the main focus of modern urban development. Micro-renewal is a relatively people-oriented model of urban transformation compared with traditional renewal modes. To improve the theoretical system of neighborhood micro-renewal from a microcosmic perspective, a comprehensive analysis of neighborhood residents' cognition is needed. The purpose of the study is to explore the possibilities and methods of applying gene theory into the study of neighborhood micro-renewal.Design/methodology/approachAccording to the meme theory, the research explores the genetic analysis of neighborhood micro-renewal. The cross-over studies with “gene theory” from natural science to social science are analyzed and the neighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, the concept of neighborhood “micro-renewal gene” was put forward. Finally, the authors show three application scenarios of public participation with a specific neighborhood micro-renewal project.FindingsThe cross research on urban studies with gene theory could be divided into three scales and four research fields. The characteristics of carrying out neighborhood micro-renewal in China could be summarized as micro-participants and micro-objects. Residents' cognition could be considered as “micro-renewal gene” in refer to meme theory. The application scenarios of introducing “micro-renewal gene” into the study of neighborhood renewal are of great potentialities.Originality/valueNeighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, neighborhood “micro-renewal gene” was proposed and applied into the study of this system in refer to meme theory.
Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling
Authors: Duan Pinsheng , Zhou Jianliang 
Published: December 2021

PurposeThe construction industry is an industry with a high incidence of safety accidents, and the interactions of unsafe behaviors of construction workers are the main cause of accidents. The neglect of the interactions may lead to serious underestimation of safety risks. This research aims to analyze the cascading vulnerability of unsafe behaviors of construction workers from the perspective of network modeling.Design/methodology/approachAn unsafe behavior network of construction workers and a cascading vulnerability analysis model were established based on 296 actual accident cases. The cascading vulnerability of each unsafe behavior was analyzed based on the degree attack strategy.FindingsComplex network with 85 unsafe behavior nodes is established based on the collected accidents in total. The results showed that storing in improper location, does not wear a safety helmet, working with illness and working after drinking are unsafe behaviors with high cascading vulnerability. Coupling analysis revealed that differentiated management strategies of unsafe behaviors should be applied. Besides, more focus should be put on high cascading vulnerability behaviors.Originality/valueThis research proposed a method to construct the cascading failure model of unsafe behavior for individual construction workers. The key parameters of the cascading failure model of unsafe behaviors of construction workers were determined, which could provide a reference for the research of cascading failure of unsafe behaviors. Additionally, a dynamic vulnerability research framework based on complex network theory was proposed to analyze the cascading vulnerability of unsafe behaviors. The research synthesized the results of dynamic and static analysis and found the key control nodes to systematically control unsafe construction behaviors.
Selecting the field hospital location for earthquakes: an application for Ankara Province in Turkey
Authors: Barutcu Inanç , Ic Yusuf Tansel 
Published: December 2021

Purpose
The authors present a location selection model for the field hospital to build after a possible earthquake in Ankara, Turkey using the VIKOR method.

Design/methodology/approach
Companies or governments that make location selection decisions to improve their performance in new investment decisions for different service industries. On the other hand, disasters, especially earthquakes, force the governments to evaluate their existing potentialities and develop action plans to improve their middle and long-term preparations. This paper proposes a VIKOR method-based location selection model for the field hospital to build after a possible earthquake. Also, the authors present a methodology using the VIKOR method that how government agencies take action for the field hospital's location selection process via VIKOR methodology.

Findings
The modeling and application results show that the field hospital's location selection decision-making process improves considerably using the VIKOR model. This paper shows that the proposed VIKOR-based model can rank alternatives suitability at various criteria targeting to minimize the possible earthquake's impact and obtains a single overall ranking score to select the best alternative.

Research limitations/implications
The study does not consider the uncertain nature of the field hospital selection problem. The application part is restricted to the Ankara case. But the proposed model can easily extend for different locations in the world.

Originality/value
This paper presents the multi-criteria decision-making (MCDM) framework study of the establishment of field hospitals and demonstrates its importance when criteria diversity is restricted.
Unemployment and its scarring effect on wages in Germany: evidence from linked employer-employee data
Authors: Jost Oskar 
Published: December 2021

PurposeAssess and compare scarring effects of unemployment in Germany to other countries and to consider firm heterogeneity.Design/methodology/approachThe author uses linked employer-employee data to analyze the effect of unemployment and its duration on future wages in Germany. Using administrative data on workers and firms in Germany and considering registered and unregistered unemployment episodes, the results show long-lasting wage losses caused by unemployment incidences. Furthermore, the estimations indicate that unemployment duration as well as selectivity into firms paying lower wages is of particular relevance for the explanation of wage penalties of re-employed workers.FindingsUnemployment causes massive and persistent wage declines in the future, which depend on the unemployment duration. Furthermore, reduced options of unemployed workers and selectivity in firms contribute to a large part of unemployment scarring.Practical implicationsFindings are relevant for current debates on unemployment and can help design measures to avoid huge costs of unemployment.Originality/valueThis paper analyses long-term unemployment scarring by considering not only unemployment duration but also selectivity in firms and its effect on the scarring effect.
Economic study on the export of cape gooseberry produced by Colombian indigenous communities in post-conflict areas to Spain and Europe
Authors: Gomez Ligia , Duran Julian , Tobasura Isaias 
Published: December 2021

PurposeThe purpose of this study is to estimate and analyze the production and export viability of organic cape gooseberry to Spain, cultivated by indigenous communities in post-conflict areas.Design/methodology/approachBased on interviews with indigenous people who grow organic cape gooseberry in post-conflict areas and information from official platforms, the data are systematized, and a matrix of costs, expenses, productivity and income from the production and export of Cape gooseberry is calculated. Financial indicators of profitability are calculated: net profit, net present value (NPV) and internal rate of return (IRR). Finally, with a regression model, the trend of the behavior of the quantity and cost of Cape gooseberry exports from Colombia to Europe and Spain is estimated.FindingsThe production and export of organic cape gooseberry is profitable for indigenous communities in post-conflict areas, favored by a special price on the European market and by the use of family labor in cultivation, which improves the profitability of the product. Because of these factors, it is likely to become an alternative to partially replace illicit crops in post-conflict areas.Research limitations/implicationsThis research was carried out in conflict areas, so conducting interviews in that territory put the integrity of the researchers at risk.Originality/valueStudies known about organic cape gooseberry production reveal the benefits of the fruit for human health, but not the viability of production and export to Spain. This study demonstrates the financial viability of the production and export of cape gooseberry grown by indigenous people and therefore constitutes an alternative for substituting illicit crops.
Multicriteria decision-making to support preventive maintenance of built heritage in the historic center of Sobral, Brazil
Authors: Olimpio Luiz Carlos Magalhães , Campos Vanessa Ribeiro , Mesquita Esequiel Fernandes Teixeira 
Published: December 2021

PurposeThe study aims to identify and evaluate relevant criteria in the proposal and support of public administration policies for preventive maintenance comprised in a conservation approach to built heritage and aligned with local sustainable development of the historic center of the city of Sobral, in Brazil.Design/methodology/approachA novel multicriteria decision model adopting the Bayesian best-worst method is presented and its application and results are described. Though a systematic procedure, criteria were selected in order to protect the tangible and intangible values of cultural heritage, as well as its sustainable development. Then experts evaluate these criteria through an elicitation instrument.FindingsThe results show that for the decision problem over preventive maintenance, social contribution and historical record of built heritage are more important than its structural vulnerability, while architecture is less relevant. Due to the low restrictions, the subcriterion related to this property has the least influence. The weights can assist in the characterization of measures and policies for the protection of the built cultural heritage.Originality/valueThe use of a novel decision-making method in cultural heritage is an important initiative, given the frequent use of simple and inefficient methods. The identified and weighted criteria are important data to characterize the scenario and the topic. The results contribute to protection and development of the built heritage, encouraging the implementation of preventive conservation in the historic center, conferring to the public administration valuable information to support and propose initiatives.
Supplier management by distributing orders among new and existing suppliers: the methodology and its application to a fast fashion company
Authors: Acar Alagoz Betul , Testik Murat Caner , Dinler Derya 
Published: December 2021

PurposeThis study aims to create a reliable, collaborative and sustainable business environment with suppliers of a company for providing high-quality and low-cost products on time. A supplier management system that sustains existing suppliers by sharing work based on systematic performance evaluation while developing the supplier base with potential suppliers is proposed.Design/methodology/approachBuilt on quantitative approaches, supplier management functions are integrated in the designed system. A quantitative strengths, weaknesses, opportunities and threats (SWOT) analysis is adapted for evaluating potential suppliers. A multi-objective integer linear programming (ILP) model is developed for the distribution of orders among selected potential and existing suppliers. A performance evaluation scheme based on an exponentially weighted moving average (EWMA) is proposed to evaluate and monitor suppliers' performance over time.FindingsProposed system develops a supplier base by methodically selecting and approving new suppliers, and a sustainable relationship with both new and existing suppliers is established based on performance over time. Decisions on retaining or removing suppliers from the base are objectively made by quantitative evaluations. Orders are fairly distributed among suppliers under the constraints imposed by the management. Dependence on a certain set of suppliers and its associated risks are reduced while agility in offering goods is enabled.Originality/valueBusiness processes for selecting new suppliers, distributing orders among all suppliers, evaluating and monitoring performance over time are quantitatively integrated to add value in operational decision-making. The proposed system is original in the holistic approach for managing and sustaining multiple suppliers of a company based on performance.
Police stops, suspicion and the influence of police department cultures: a look into the Belgian context
Authors: Saudelli Inès , De Kimpe Sofie , Christiaens Jenneke 
Published: December 2021

PurposeThe purpose of this paper is to demonstrate how suspicion that leads to a police stop is developed by police officers in Belgium, and the way in which police department culture influences the creation of suspicion.Design/methodology/approachThe data on which this article is based are the result of an ethnographic study within two local Belgian police forces. In total, the researcher has observed for a total amount of 750 h the day-to-day practices of police officers in different police services. Next to that, 37 in-depth interviews were taken from police officers employed in the same services that participated in the observations.FindingsWhile the creation of suspicion in a police officer's mind is a complex process that is influenced by various factors such as the individual characteristics of the police officer and the applicable legislation, the impact of police department culture is equally important and can be responsible for maintaining discriminatory and stereotypical mindsets.Originality/valueThe originality of this paper lies in the fact that it offers insight into the Belgian police stop practice, a topic about which not much is known on an international level. In addition, it also focuses on the role of departmental cultures in the actions of police officers.
Let's play with emojis! How to make emojis more effective in social media advertising using promocodes and temporal orientation
Authors: Huang Xiao , Kader Mohammad Shahidul , Kim Seeun 
Published: December 2021

PurposeThe authors aim to examine how the construal level, either as an individual temporal orientation or temporal distance of promotion, moderates the effects of emojis' emotional intensity on consumers' purchase intentions in social media advertising.Design/methodology/approachTwo experiments are used to test four hypotheses.FindingsThe results of two experimental studies show that present-oriented participants reveal greater purchase intentions when low (vs high) emotionally intense emojis are embedded in a social media ad; but future-oriented consumers showed no difference when viewing ads with the two different emojis. In Study 2, participants indicate greater purchase intentions when a social media ad includes a distant-future promocode and high (vs low) emotionally intense emojis and an ad with a near-future promocode and low (vs high) emotionally intense emojis.Originality/valueThe current study advances our understanding how emojis with different emotional intensities can be effectively used in social media ads. This study also provides theoretical implications to construal level theory (CLT) by examining how emojis interact with construal level, either as a chronic tendency or simulated by psychological distance, can influence consumer response.
A new trust management framework based on the experience of users in industrial cloud computing using multi-criteria decision making
Authors: Khoruzhy Liudmila Ivanovna , Petrovich Bulyga Roman , Yuryevna Voronkova Olga , Vasyutkina Lidia Vladimirovna , Ryafikovna Saenko Natalya , Leonidovich Poltarykhin Andrey , Aravindhan Surendar 
Published: December 2021

PurposeNowadays, cloud platforms are used in many fields, including e-commerce, web applications, data storage, healthcare, gaming, mobile social networks, etc. However, security and privacy are still two significant concerns in this area. The target of this paper is to present a system for trust management in industrial cloud computing using the multi-criteria decision making (MCDM) approach. MCDM techniques have been developed to accommodate a wide range of applications. As a result, hundreds of approaches have been generated with even minor variations on current approaches spawning new study fields.Design/methodology/approachCloud computing provides a fully scalable, accessible and flexible computing platform for various applications. Due to the multiple applications that cloud computing has found in numerous life features, users and providers have considered providing security in cloud communications. Due to its distributive nature, dynamic space and lack of transparency in performing cloud computing, it faces many challenges in providing security. For security improvement, trust management can play a very influential role. This paper proposes a generic analytical methodology that uses a series of assessment criteria to evaluate current trust management testing prototypes in industrial cloud computing and related fields. The authors utilize a MCDM approach in the present article. Due to the multi-dimensionality of the sustainability objective and the complexities of socio-economic and biophysical processes, MCDM approaches have become progressively common in decision-making for sustainable energy.FindingsThe results of comparing and evaluating the performance of this model show its ability to manage trust and the ability to adapt to changes in the behavior of service providers quickly. Using a simulation, all results are confirmed. The results of simulations and evaluation of the present paper indicate that the proposed model provides a more accurate evaluation of the credibility of cloud service providers than other models.Practical implicationsThe number of cloud services and customers is vast and extremely competitive in cloud environments, where novel cloud services and customers can join at any time, while others can withdraw whenever they want. Because of cloud services' highly dynamic and dispersed design, trust management mechanisms must be highly flexible to obtain feedback and update trust outcomes as quickly as possible. The model presented in this article tries to improve users' trust in the cloud industry.Originality/valueUsing a method (MCDM) to find the best trust management solution based on user experience in industrial cloud computing is the novelty of this paper.
Was Allyn Young a Marshallian?
Authors: Chandra Ramesh 
Published: December 2021

AbstractThis paper argues that although Allyn Young was influenced by Alfred Marshall, he was an original economic thinker in his own right. The objective of this paper is to bring out their similarities as well as differences. This theoretical comparison will throw light on questions such as whether increasing returns are microeconomic or macroeconomic or whether they arise due to economies of scale at the firm level or are due to other factors. Marshall and Young had many similarities like both had an evolutionary perspective towards society, both had a process view of competition, both had almost common views on the method of economics and both saw economics as useful in solving practical problems. However, while Marshall emphasised statics (by assuming ceteris paribus) and analysed change mostly at the microeconomic level, Young emphasised disequilibrium and had a generalised conception of increasing returns.
Biological effect of two plant extracts against house flies (Musca domestica L.) as a sustainable approach for vector disease control
Authors: Alghamdi Tariq Saeed 
Published: December 2021

AbstractThe house fly, Musca domestica (L.) has a worldwide distribution and acts as a source of nuisance and a common vector for several diseases in humans and livestock. The present study aimed to investigate the biological activity of plant extracts (Juniperus procera and Ficus palmata) along with their synthesized silver nanoparticle (AgNP) solutions against the second larval stage of house flies. Larval bioassay experiments were conducted using feeding and dipping methods at various concentrations. The synthesized silver nanoparticles were characterized by visual observation, UV–visible and FTIR spectroscopy. The results showed biochemical effects of the tested extracts on the treated larvae and different growth stages of the house fly. Using the feeding and dipping methods, the concentration required to inhibit 50% of the adult fly emergence (IC50 value) was 2.62% and 4.19% with J. procera and 0.71% and 1.29% with F. palmata, respectively. The crude extracts mixed with silver nanoparticles showed significantly decreased IC50 values at 1.09% and 1.23% for J. procera and 0.32% and 0.45% for F. palmata using the feeding and dipping methods, respectively. Further, the feeding method with both crude extracts showed about 1.60 and 1.80 times more effective control against the larval stages compared to that in case of the dipping method. In addition, the F. palmata extract was about 3.66 and 3.20‐fold more effective against flies compared to J. procera using the feeding and dipping method, respectively. Overall, this study suggests using of the tested extracts of plants as promising biological agents and safe options for sustainable pest management.