bluuebunny/crossref_metadata_2025 huggingface dataset:
Description of Kavayva, gen. nov., (Chalcidoidea, Eurytomidae) and two new species associated with Guarea (Meliaceae), and a review of New World eurytomids associated with seeds
Authors: Zhang Y. Miles , Gates Michael W. , Silvestre Rogerio , Scarpa Manuela
Published: October 2021

Kavayva Zhang, Silvestre & Gates, gen. nov., and two species are described from the Neotropics, Kavayva bodoquenensis Zhang, Silvestre & Gates, sp. nov., and Kavayva davidsmithi, Zhang & Gates, sp. nov. Specimens of the new species were collected independently during separate research efforts in Peru and Brazil, reared from the seeds of Guarea F. Allam ex L. (Meliaceae), which represents a new host plant family for Eurytomidae. A differential diagnosis of the New World seed-feeding eurytomids is also provided.
Notes on the genus Dendrocerus Ratzeburg (Hymenoptera, Megaspilidae) from China, with description of two new species
Authors: Wang Xu , Chen Huayan , Mikó István , Huang Yixin , Zhu Chaodong
Published: October 2021

Species of the genus Dendrocerus Ratzeburg, 1852 (Hymenoptera: Megaspilidae) from China were studied. Six species are recorded, of which two known species, D. carpenteri (Curtis, 1829) and D. laticeps (Hedicke, 1929) are re-described; and two species are described as new to science, D. anisodontus Wang, Chen and Mikó sp. nov. and D. bellus Wang, Chen and Mikó sp. nov.. Sequences of the 28S rDNA were generated to associate both sexes of the same species.
Revision of the genus Schoenlandella (Hymenoptera, Braconidae, Cardiochilinae) in the New World, with a potential biological control agent for a lepidopteran pest of bitter gourd (Momordica charantia L.)
Authors: Kang Ilgoo , Sharkey Michael J. , Diaz Rodrigo
Published: October 2021

Schoenlandella Cameron, 1905 is the second largest genus of Cardiochilinae. Most members are recorded from the Old World, with a small number of species in the New World. Herein, the New World species of Schoenlandella are revised based on morphological data. This work entails a description of a new species: S. montserratensis Kang, sp. nov. and potential lepidopteran host information of the new species associated with bitter gourds on the Caribbean Island of Montserrat. Schoenlandella diaphaniae (Marsh, 1986) and S. gloriosa Mercado & Wharton, 2003 are re-described, and a key to species of New World Schoenlandella is provided. The taxonomic status of Schoenlandella is discussed.
A new species of Petta (Annelida, Pectinariidae), with comments on Petta assimilis McIntosh, 1885
Authors: Zhang Jinghuai , Hutchings Pat
Published: October 2021

The genus Petta Malmgren, 1866 is a small and poorly known genus of the annelid family Pectinariidae Quatrefages, 1866. A previous revision of the genus found that the type material of the species P. assimilis McIntosh, 1885 had been lost. While searching for material from the type locality, we were able to examine material from a similar area but collected in much shallower water from off South Africa which represents another undescribed species of Petta. The new species, Petta brevissp. nov., is described and compared to P. assimilis McIntosh, 1885, and a revised key to all species in the genus is provided.
Ricœur et les revues protestantes
Authors: Frey Daniel
Published: October 2021

Paul Ricœur a collaboré dans les années 40 et 50 à des revues protestantes comme Le Semeur , Christianisme social ou Foi Éducation . Cette étude repère dans quelques-unes de ces participations une modalité particulière d’engagement, relevant d’une laïcité de confrontation, soucieuse d’exposer des convictions religieuses qui n’auraient pu, en tant que telles, trouver place dans les écrits académiques du philosophe, lesquels relevaient d’une laïcité d’abstention.
L’herméneutique et les méthodes d’exégèse biblique
Authors: Schlegel Jean-Louis
Published: October 2021

Selon son propre aveu à la fin de sa vie, Paul Ricœur s’est longtemps « penché de bonne heure » dans la lecture de la Bible. Il en résulta une compétence exceptionnelle en matière d’exégèse et d’herméneutique bibliques, servies à leur tour par sa capacité de reprise philosophique des questions posées. De nombreux articles, dans des revues françaises et étrangères – revues confessionnelles certes, en France, en raison des partages laïques du savoir – ont témoigné de cette connaissance et de cet intérêt, et donné à penser aux spécialistes de la Bible sur leurs méthodes de lecture et d’interprétation. En ce sens, nonobstant l’autonomie maintenue de sa réflexion philosophique par rapport à ses intérêts et ses convictions personnels, Ricœur a été un médiateur important, et trop ignoré, de la reprise des approches structurales et sémiotiques (du tournant linguistique en sciences humaines et en philosophie) dans l’exégèse historico-critique et la réception herméneutique des textes bibliques.
La loi du 9 avril 1898 sur les accidents du travail. Une opportunité pour le secteur privé des assurances (1898-1914) ?
Authors: Naudet Jean-François
Published: October 2021

La loi du 9 avril 1898 sur les accidents du travail a ouvert un nouveau champ d’expansion pour les compagnies d’assurances et les mutuelles. Sa rentabilité est restée depuis un sujet controversé. Notre propos est d’apporter un nouvel éclairage sur la complexité des bilans à partir d’une comparaison entre compagnies à primes fixes et mutuelle, en soulignant les écarts entre les discours souvent très alarmistes et une réalité plus nuancée. Si des difficultés apparaissent du fait de la nouveauté de cette activité, les causes sont multiples et ne peuvent être réduites à la seule « fraude » que les assureurs mettent systématiquement en avant. L’état encore embryonnaire et lui aussi controversé de la réflexion des assureurs autour de la prévention et de la reconstitution de la force de travail constitue un pan complémentaire de cette recherche éclairant au passage le débat naissant sur les maladies professionnelles. Un dispositif global intégrant des acteurs variés dont le milieu médical et celui de la justice tente de se mettre en place non sans contradiction.
Juriste internationaliste et militant socialiste : l’engagement d’A. Berenstein (1909-2000) en faveur de la protection sociale
Authors: Kott Sandrine , Leutwyler Sylvain
Published: October 2021

À travers la figure du professeur de droit social et socialiste genevois Alexandre Berenstein, cet article livre une réflexion sur les ressorts et les formes de l’engagement en faveur de la réforme sociale au XX e  siècle. Suivre le parcours d’Alexandre Berenstein permet d’éclairer et de combiner trois caractéristiques de cet engagement. Son activité permet d’abord de poursuivre la réflexion sur les échelles de la protection sociale du local à l’international. Son parcours éclaire ensuite l’évolution des formes de l’engagement social international, des mondes de la « nébuleuse réformatrice » depuis l’Association pour le progrès social jusqu’à la communauté d’experts au sein de la Société internationale de droit du travail et de la sécurité sociale. Enfin, socialiste de conviction, Berenstein est aussi un militant de terrain et s’engage dès les années 1930 en faveur de la réforme sociale au sein du mouvement syndical et socialiste. Étudier ses convictions et ses activités de terrain permet de contribuer au débat actuel sur le rôle qu’ont joué les acteurs de la social-démocratie dans les projets internationalistes de la réforme sociale, les réseaux qu’ils ont constitués, les pratiques qu’ils ont déployées jusqu’à leur échec et l’entrée dans la logique néo-libérale à la fin des années 1970.
Threshold dynamics and optimal control on an age-structured SIRS epidemic model with vaccination
Authors: Ma Han ,   School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, China, Zhang Qimin
Published: October 2021

We consider a vaccination control into a age-structured susceptible-infective-recovered-susceptible (SIRS) model and study the global stability of the endemic equilibrium by the iterative method. The basic reproduction number $ R_0 $ is obtained. It is shown that if $ R_0 < 1 $, then the disease-free equilibrium is globally asymptotically stable, if $ R_0 > 1 $, then the disease-free and endemic equilibrium coexist simultaneously, and the global asymptotic stability of endemic equilibrium is also shown. Additionally, the Hamilton-Jacobi-Bellman (HJB) equation is given by employing the Bellman's principle of optimality. Through proving the existence of viscosity solution for HJB equation, we obtain the optimal vaccination control strategy. Finally, numerical simulations are performed to illustrate the corresponding analytical results.
The LGBTQ+ Movement Towards Equity
Authors: Benharris Lyndsey A.
Published: October 2021

This chapter will describe the Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ+) movement, and the impacts on terms, laws, health, and social justice. First, this chapter will explore historical movements from the 1960s to the present day, outlining specific historical events that changed the discourse for many in LGBTQ+ communities. Next, the author will describe important terms and the changes in terminology over the years. Third, this chapter will discuss the lack of federal protection laws and identify states that have protection laws. Lastly, the author will connect state protection laws and the issues that face young students who are transgender.
Public Accommodations
Authors: Drenner Karla L.
Published: October 2021

The chapter examines potential issues posed by the wide variety of state public accommodation statutes in the context of sexual orientation and religious freedom. The historical approach to antidiscrimination will briefly be examined. A review of recent cases of discrimination due to the legalization of same-sex marriage are analyzed in the context of the arguments regarding freedom of speech and freedom of religion.
Victimization
Authors: McNeal Ramona S. , Kunkle Susan M. , Schmeida Mary
Published: October 2021

Not all groups are equally likely to be subject to acts of aggression; specific subgroups are more likely to be victimized. For example, youth who identify as a sexual minority are more likely to be victims of traditional forms of bullying than their heterosexual friends. There has been less research, however, on population subgroups and the likelihood of becoming a victim of cyber aggression. In exploring this topic, this chapter examines several questions including, “How important is the amount of time spent online as an intermediate variable in predicting whether an individual will become a victim of cyber aggression?” and “Does sexual orientation impact the likelihood of being a victim of cyberaggression above and beyond the amount of time spent online?” Multivariate statistical methods and survey data from the Pew Research Center for the year 2014 was used in this analysis.
Using Social Media to Advocate LGBT Rights in Black Africa
Authors: Endong Floribert Patrick C.
Published: October 2021

The prevalence of draconian homophobic laws in Cameroon and Nigeria has systematically stultified sympathy for the LGBT communities and made pro-gay street activism a risky venture in these two countries. In view of this, a good number of gay rights activists have resorted to the social media as a suitable platform for a less risky advocacy. Using the social media has afforded them the opportunity to explore interactive, post-modern, and personified approaches to sensitizing and mobilizing their readership in favour of gay proselytism in Cameroon, Nigeria, and some other parts of Africa. Based on a content analysis of 200 blog posts and web/facebook pages generated by Cameroonian and Nigerian gay activists, this chapter measures the extent to which gay activists adopt a national/local perspective versus the level to which they adopt an international perspective in their online advocacy. The chapter equally examines the degree to which these citizen journalist/activists construct their advocacy discourse from the prism of a cultural war between the West and Africa.
Jars of Light
Authors: Reneau Clint-Michael
Published: October 2021

The 21st century adult male learner lives a multidimensional life with multiple identities impacted by their notion of masculinity and manhood. Traditional notions of masculinity offer consequential stakes for college men which can impact student success and retention. This chapter presents a study designed to examine experiences of diverse undergraduate male learners as they explore the ways of knowing and make meaning of their own notions of how they experience their masculinity regulated and how their perception of other men's notion of masculinity shape their relationship with other men. Utilizing Queer Theory as a framework, educators can reimagine how masculinity impacts lives and boldly reimagine what an affirming and inclusive identity looks like for college men. This chapter will help stakeholders serve as an anchor for men willing to contest dominant ideologies surrounding masculinity while offering strategies to support male student retention through culturally inclusive practices.
Overview of the Gay Characters in the New Cinema of Turkey
Authors: İpek Özgür
Published: October 2021

Similar to the worldwide perceptions, gay characters in Turkish cinema are mostly perceived and used as elements of humor and comedy. They are also used as standards for measuring the masculinity of other male characters in some Turkish movies. And what about Today? What are the differences between the past and now? It is possible to say that Turkish cinema in 2000s involve more visible sexual identities apart from heteronormative understanding. This study will focus on the reflections and portrayals of only gay characters in New Turkish cinema.
Contextualizing Healthcare Needs of the Transgender Community in Kerala
Authors: A. K. Jayasree , M. V. Bindu
Published: October 2021

Kerala witnessed a transformation in recent times in the case of social acceptance of the transgender community. Participation in HIV/AIDS projects gave them some social recognition. There was a turning point in the situation when the Supreme Court judgement came in 2014 on National Legal Service Authority vs Government of India. It started to formulate policies and welfare schemes to support the transgender community. Following this, the Kerala government drafted the Transgender Policy in 2015. The present situation is much improved. Yet there is not much improvement in healthcare services. There is no protocol or guidelines for treatment, which may result in practice without quality assurance and high cost. This chapter is an attempt to review the situation of the transgender community in Kerala before and after the transgender policy to look into achievements and gaps in security measures, including healthcare access.
Robot Process Automation (RPA) and Its Future
Authors: Doguc Ozge
Published: October 2021

Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA offers software robots (bots) that can mimic human behavior. Attended robots work in tandem with humans and can operate while the human agent is active on the computer. On the other hand, unattended robots operate behind locked screens and are designed to execute automations that don't require any human intervention. RPA robots are equipped with artificial intelligence engines such as computer vision and machine learning, and both robot types can learn automations by recording human actions.
IoT Impact and Challenges on Robotic Waiters in Automation of Restaurants and Hotels
Authors: Mishra Neelima , Goyal Dinesh , Elngar Ahmed A
Published: October 2021

In China and Japan robots are used to serve in restaurants to serve or to just greet the customer. In restaurants robots need to understand the environment and make decisions accordingly, like changing the route if it finds any obstacle in between. To have this capability of making decisions and behaving like humans, robots need information from different sources from which they can understand the change in environment, position of other robots, and also the path to the destination. This can be done by integrating robots with IoT technology that allow the enhancement in the capabilities in robotic waiter. IoT also helps in monitoring the working parts of robots and movements. This chapter aims to discuss the real-time challenges and impact of IoT on robotics services in restaurants and hotels.
Automation in Healthcare Services
Authors: Gupta Vijay Prakash , Arora Amit Kumar
Published: October 2021

The health care service industry (also known as a medical industry) is an industry that is comprised of the services related to the safeguarding or enhancement of patient health or provides services to treat patients with medicinal, protective, rehabilitative, and analgesic care. For the last two decades, it has been seen that there are drastic changes in healthcare services through automation, digitalization, technological innovation, and communication. Automation has made a revolutionary change in the healthcare industry and allowed for it to be more cost-effective for the industry to run day-to-day operations. Automation-driven health care activities are free from human fatigue and error, so they can help out to provide consistency, accuracy, and potentially lead to a reduction in patient complications, infections, and deaths. Besides, automation can help hospitals, professionals, and doctors for cost-reduction measures and increased efficiency as part of their monetary benefits.
Internet of Things for Automation in Smart Agriculture
Authors: Jat Dharm Singh , Limbo Anton S. , Singh Charu
Published: October 2021

By combining the different monitoring and automation techniques available today, we can develop cutting-edge internet of things (IoT) systems that can support sustainable development through smart agriculture. Systems are able to monitor the farming areas and react to the parameters being monitored on their own without the presence of human beings. This automation can result in a more precise way of maintaining the aspects that affect the growth of plants, leading to an increase in the food production on farmlands. This chapter focuses on IOT for automation in smart agriculture and provides a pathway to develop automation system in the smart environment.
The Open Source Community Choice
Authors: Richomme Morgan
Published: October 2021

Open source communities have had and continue to have a major influence on the evolution of the Internet. By their nature, such communities involve people with diverse coding cultures and skills. Automation has consequently been of major interest to open source software developers for a long time, and many open source tools have been developed to address code variability and sustainability challenges. This chapter discusses why open source communities must automate and the challenges they will face. Solutions and current examples of automation in open source projects are provided as a guide to what is achievable. OpenShift, OpenStack, and OPNFV communities are used to illustrate different approaches and best practices. Two recently initiated automation initiatives are detailed: “Cross Community Continuous Integration” (XCI) and “Cross Testing” (Xtesting). Finally, some recommendations are provided for new projects as a guide to ease adoption of appropriate tools and methods.
IoT Applications in Smart Home Security
Authors: Rastogi Rohit , Jain Rishabh , Jain Puru
Published: October 2021

Robotization has changed into a fundamental piece of our lives. Everybody is completely subject to mechanization whether it is an extraordinary bundling or home robotization. So as to bring home automation into thought, everybody now needs a heterogeneous state security, and in our task on residential robotization, such high security highlights are completely on the best possible consumption. Piezoelectric sensors are compelling for sharpening appropriated wellbeing checking and structures. An intrusion detection system (IDS) is a structure that screens for suspicious movement and issues alarms when such advancement is found. Some obstruction divulgence structures are fit to take practice when poisonous improvement or peculiar action is perceived.
Feedback-Based Resource Utilization for Smart Home Automation in Fog Assistance IoT-Based Cloud
Authors: Mallikarjuna Basetty
Published: October 2021

In this article, the proposed feedback-based resource management approach provides data processing, huge computation, large storage, and networking services between Internet of Things (IoT)-based Cloud data centers and the end-users. The real-time applications of IoT, such as smart city, smart home, health care management systems, traffic management systems, and transportation management systems, require less response time and latency to process the huge amount of data. The proposed feedback-based resource management plan provides a novel resource management technique, consisting of an integrated architecture and maintains the service-level agreement (SLA). It can optimize energy consumption, response time, network bandwidth, security, and reduce latency. The experimental results are tested with the IFogSim tool kit and have proved that the proposed approach is effective and suitable for smart communication in IoT-based cloud.
The Exploration of Autonomous Vehicles
Authors: Gephardt Anthony J. , Wang Elizabeth Baoying
Published: October 2021

This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.
Solving Task Scheduling Problem in the Cloud Using a Hybrid Particle Swarm Optimization Approach
Authors: Cheikh Salmi , Walker Jessie J.
Published: October 2021

Synergistic confluence of pervasive sensing, computing, and networking is generating heterogeneous data at unprecedented scale and complexity. Cloud computing has emergered in the last two decades as a unique storage and computing resource to support a diverse assortment of applications. Numerous organizations are migrating to the cloud to store and process their information. When the cloud infrastructures and resources are insufficient to satisfy end-users requests, scheduling mechanisms are required. Task scheduling, especially in a distributed and heterogeneous system is an NP-hard problem since various task parameters must be considered for an appropriate scheduling. In this paper we propose a hybrid PSO and extremal optimization-based approach to resolve task scheduling in the cloud. The algorithm optimizes makespan which is an important criterion to schedule a number of tasks on different Virtual Machines. Experiments on synthetic and real-life workloads show the capability of the method to successfully schedule task and outperforms many known methods of the state of the art.
Techniques for Selecting the Optimal Parameters of One-Class Support Vector Machine Classifier for Reduced Samples
Authors: Guerbai Yasmine , Chibani Youcef , Meraihi Yassine
Published: October 2021

Usually, the One-Class Support Vector Machine (OC-SVM) requires a large dataset for modeling effectively the target class independently to other classes. For finding the OC-SVM model, the available dataset is subdivided into two subsets namely training and validation, which are used for training and validating the optimal parameters. This approach is effective when a large dataset is available. However, when training samples are reduced, parameters of the OC-SVM are difficult to find in absence of the validation subset. Hence, this paper proposes various techniques for selecting the optimal parameters using only a training subset. The experimental evaluation conducted on several real-world benchmarks proves the effective use of the new selection parameter techniques for validating the model of OC-SVM classifiers versus the standard validation techniques
A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique
Authors: Umar Sujeet K. , Kumari Sunita , Samui Pijush , Kumar Deepak
Published: October 2021

In any construction projects,assessment of liquefaction potential induced due to seismic excitation during earthquake is a critical concern.The objective of present model development is to classify and assess liquefaction potential of soil.This paper addresses Emotional Neural Network(ENN), Cultural Algorithm(CA) and biogeography optimized(BBO) based adaptive neuro-fuzzy inference system (ANFIS) for liquefaction study.The performance of neural emotional network and cultural algorithm has been also discussed. BBO-ANFIS combines the biogeography features to optimize the ANFIS parameters to achieve higher prediction accuracy.The model is trained with case history of liquefaction databases.Two parameters are used as input such as the cyclic stress ratio and standard penetration test (SPT) value.The performance of these models was assessed using different indexes i.e. sensitivity, specificity, FNR, FPR and accuracy rate.The performance of all models is compared.Among the models, the BBO-ANFIS model has been outperformed and can be adopted as new reliable technique for liquefaction study.
An Improved Image Compression Model Enabled by Adaptive Active Contour and Supervised Learning-Based ROI Classification
Authors: Santosh Kumar B. P.  , Venkata Ramanaiah K.
Published: October 2021

This paper plans to develop a novel image compression model with four major phases. (i) Segmentation (ii) Feature Extraction (iii) ROI classification (iv) Compression. The image is segmented into two regions by Adaptive ACM. The result of ACM is the production of two regions, this model enables separate ROI classification phase. For performing this, the features corresponding to GLCM are extracted from the segmented parts. Further, they are subjected to classification via NN, in which new training algorithm is adopted. As a main novelty JA and WOA are merged together to form J-WOA with the aim of tuning the ACM (weighting factor and maximum iteration), and training algorithm of NN, where the weights are optimized. This model is referred as J-WOA-NN. This classification model exactly classifies the ROI regions. During the compression process, the ROI regions are handled by JPEG-LS algorithm and the non-ROI region are handled by wavelet-based lossy compression algorithm. Finally, the decompression model is carried out by adopting the same reverse process.
How Ethics in Public Health Administration Leadership Leverages Connectedness in the Age of COVID-19
Authors: Springs Delores
Published: October 2021

Ethics is critical in emergency response to public health and patient care in ways that create a variety of challenging dilemmas and decisions. Understanding ethical codes around medical care, especially during the emergence of COVID 19, has made leadership's role in perpetuating ethical organizational cultures in healthcare vital. Ethical leadership and ethical organizational cultures transform and unite social systems around everyday purposes of ethical decision-making, leveraging organizational connectedness. Leadership value systems mitigate subjectivity constituting ethical themes of moral character and virtues to advance organizational trust. Leadership value systems reduce subjectivity, forming ethical issues of moral character and virtues to promote organizational confidence and moral organizational decision-making. This paper employs the use of content analysis from the literature to take disjointed approaches and combine them into a cohesive understanding of leadership dynamics on organizational ethics in healthcare.
The Urine Drug Screen in the Emergency Department
Authors: Yu Megan , Donohoe Charles Desmond
Published: October 2021

Urine drug screens (UDSs) are often performed in the emergency department (ED) as part of a standard ED order set in patients with significant altered mental status, trauma, or seizures usually without the patient’s knowledge or specified informed consent. In the ED the UDS has been included in the standard consent to treatment for routine testing along with blood studies, EKG, urinalysis and radiology. Many technical factors are known to effect UDS results.There is a lack of education among physicians regarding the clinical pitfalls of UDS interpretation. This article discusses the current state and issues associated with the UDS, and presents three clinical vignettes that illustrate the impact of false-positive UDS results on patient care and the potential for a patient becoming unknowingly and unfairly stigmatized. The article also offers suggestions including a requirement for either formal informed consent or an “opt out” screening process, as recommended by the CDC in HIV testing, designed to protect patient autonomy and confidentiality.
COVID-19 in India
Authors: Johri Prashant , Saxena Vivek Sen , Al-Taani Ahmad T. , Goel Pallavi Murghai , Gaur Nitin Kumar
Published: October 2021

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a potentially fatal disease that prompted health disasters worldwide. The virus was reported first from Wuhan, China, in December 2019. SARS-CoV-2 majorly transmits through direct contactwith an infected person or inhalation.The spread rate of SARS-CoV-2 is much higher than the other virus of family. The virus is very harmful to the children, people with old age, low immunity, or suffering from other critical diseases. A total of 29.6 million infected cases and approximately 936000 death were reported worldwide. Whereas in India reached 5.02 Million cases are reported with 82000 deaths. In this paper, the authors had study the Origin of viruses, Symptoms, actions taken by the Indian government, and precautions suggested to healthcare workers. The biometric system's adverse effects in hospitals are highlighted, and authors emphasize IoT-based smart door-lock that works without direct contact. The proposed system helps in reducing contamination at healthcare centers.
Using Flipped Classes to Develop Scientific Communication and the Attitude Towards Technology Acceptance in Science Learning in Intermediate Schools
Authors: Ezzeldin Sahar Mohammed Yousef
Published: October 2021

This study aimed for using flipped classroom to develop scientific communication and the attitude towards technology acceptance in science learning among intermediate school students. For this purpose, the quasi-experimental design with the experimental and the control group method was used. The sample involved (49) third intermediate stage students from two different schools in Wadi Al-Dawasir Governorate, Riyadh, Saudi Arabia. A list of written scientific communication levels suitable for intermediate school students and a procedural model for learning with flipped classes were presented. The study applied the scientific communication test and the technology acceptance in the science learning scale. The statistical analyses revealed that there were statistically significant differences between the means of the scores of the experimental and control group students in the scientific communication scale and the technology acceptance in the science learning scale in favor of the experimental group. Recommendations and suggestions were presented.
Incorporating Affective Computing Into an Interactive System With MakeyMakey
Authors: Lan Liu Hsin , Koong Lin Hao-Chiang , Yu-Chen Liang , Yu-cheng Zeng , Kai-cheng Zhan , Hsin-Yueh Liu
Published: October 2021

People's motions or behaviors often ensue from these positive or negative emotions. Set off either subconsciously or intentionally, these fragmentary responses also represent people's emotional vacillations at different times, albeit rarely noted or discovered. This system incorporates affective computing into an interactive installation: While a user is performing an operation, the system instantaneously and randomly generates corresponding musical instrument sound effects and special effects. The system is intended to enable users to interact with emotions through the interactive installation to yield a personalized digital artwork as well learning about how emotions affect the causative factors of consciousness and personal behaviors. At the end of the process, this project design renders three questionnaires for users to fill in as a means to enhance the integrity and richness of the system with a survey and to further increase the stability and precision of the system through progressive modifications aligned with user suggestions.
Effect of Reinforcements on the Sliding Wear Behavior of Self-Lubricating AZ91D-SiC-Gr Hybrid Composites
Authors: Khatkar Sandeep Kumar , Verma Rajeev , Kant Suman , Suri Narendra Mohan
Published: October 2021

This article statistically investigates the effect of various parameters such as material factors: silicon carbide (SiC) reinforcement, graphite (Gr) reinforcement and mechanical factors: normal load, sliding distance and speed on the sliding wear rate of vacuum stir cast self-lubricating AZ91D-SiC-Gr hybrid magnesium composites. The sliding wear tests have been performed on pin-on-disc tribometer at 10-50N loads, 1-3m/s sliding speed and 1000-2000m sliding distance. It has been examined that hybrid composites yielded improved wear resistance with reinforcement of SiC and solid lubricant graphite. ANOVA and signal-to-noise ratio investigation indicated that applied load was the most critical factor influencing the wear rate, followed by sliding distance. Further, the AZ91D/5SiC/5Gr hybrid composite has exhibited the best wear properties. From the SEM and EDS analysis of worn surfaces, delamination was confirmed as the dominant wear mechanism for AZ91D-SiC-Gr hybrid composites.
How Social Entrepreneurship Can Contribute to Upscale Social Innovation Practices
Authors: Cunha Jorge , Benneworth Paul , Stolk Floor , Welamedage Lalith , Araujo Madalena
Published: October 2021

In this paper, we address the research question of to what extent is it possible to discern theories of change being built into the business practices of nascent social enterprises in ways that lay foundations for the subsequent upscaling of their social innovations? We argue that social enterprises that are ‘ready-to-upscale’ are those that clearly produce a solution to an underlying problem, and where their activities are clearly derived from the underlying problem, and also those activities clearly connect forward to deliver consistent solutions. We apply a Theories of Change approach to the concept of social entrepreneurship as a means of setting a criterion for ‘ready-to-upscale’, studying six Sri Lankan micro-social enterprises in which we can trace stories of impact. This provides a means to develop a model of the ways that social entrepreneurship creates the foundations for structural changes that reduce systematic inequalities, and offers social enterprise funders a framework to better stimulate emergence of social enterprises ready-to-upscale and deliver social innovation.
Management Sustainability
Authors: Figueiredo Ronnie , Veiga Pedro Mota , Teixeira Sérgio Jesus , Fernandes Cristina I.
Published: October 2021

Research related to sustainable management is rapidly increasing in quantity and is found in divergent literature and disciplines. Now is the time to offer a comprehensive review that identifies, synthesizes, and integrates previous research and highlights knowledge gaps and the way forward. This methodical literature search helped systematize 86 articles in the Scopus database published by 2018. Using a systematic and in-depth content analysis using bibliometric techniques, the authors reviewed the articles and identified the main theories used and the methodological orientations in these. articles. This review helps to identify significant knowledge gaps in terms of theoretical orientation and core content. The main contributions of this paper are: to outline and summarize a multilevel analysis of emerging sustainable management literature; integrate and extract potential theoretical contributions in this field; and indicate directions for future research.
Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis
Authors: Shrivastav Lokesh Kumar , Kumar Ravinder
Published: October 2021

Designing a system for analytics of high-frequency data (Big data) is a very challenging and crucial task in data science. Big data analytics involves the development of an efficient machine learning algorithm and big data processing techniques or frameworks. Today, the development of the data processing system is in high demand for processing high-frequency data in a very efficient manner. This paper proposes the processing and analytics of stochastic high-frequency stock market data using a modified version of suitable Gradient Boosting Machine (GBM). The experimental results obtained are compared with deep learning and Auto-Regressive Integrated Moving Average (ARIMA) methods. The results obtained using modified GBM achieves the highest accuracy (R2 = 0.98) and minimum error (RMSE = 0.85) as compared to the other two approaches.
Phish-Shelter
Authors: Rahman Rizwan Ur , Yadav Lokesh , Tomar Deepak Singh , Tomar Deepak Singh
Published: October 2021

Phishing attack is a deceitful attempt to steal the confidential data such as credit card information, and account passwords. In this paper, Phish-Shelter, a novel anti-phishing browser is developed, which analyzes the URL and the content of phishing page. Phish-Shelter is based on combined supervised machine learning model.Phish-Shelter browser uses two novel feature set, which are used to determine the web page identity. The proposed feature sets include eight features to evaluate the obfuscation-based rule, and eight features to identify search engine. Further, we have taken eleven features which are used to discover contents, and blacklist based rule. Phish-Shelter exploited matching identity features, which determines the degree of similarity of a URL with the blacklisted URLs. Proposed features are independent from third-party services such as web browser history or search engines result. The experimental results indicate that, there is a significant improvement in detection accuracy using proposed features over traditional features.
A Robust Authentication System With Application Anonymity in Multiple Identity Smart Cards
Authors: Prajapati Varun , Gupta Brij B. , Gupta Brij B.
Published: October 2021

User Authentication plays a crucial role in smart card based systems. Multi-application smart cards are easy to use as a single smart card supports more than one application. These cards are broadly divided into single identity cards and Multi-identity cards. In this paper we have tried to provide a secure Multi-identity Multi-application Smart Card Authentication Scheme. Security is provided to user’s data by using dynamic tokens as verifiers and nested cryptography. A new token is generated after every successful authentication for next iteration. Anonymity is also provided to data servers which provides security against availability attacks. An alternate approach to store data on servers is explored which further enhances the security of the underlying system.
Assessment of Shellac and Lemongrass Oil Blend as Edible Coating to Prolong Shelf Life of Pili Nut (Canarium ovatum)
Authors: De Jesus Anna Pamela O. , Rivarez Mark Paul Selda , Roxas-Villanueva Ranzivelle Marianne L. , Herrera Marvin U.
Published: October 2021

Shelf life in ground and tree nuts are often assessed based on aesthetic appearance, nut integrity, color and most importantly, taste and edibleness. Nuts with considerable level of rancidity and free fatty acids due to degradation of oils indicate expiration or decay. We prepared a shellac-lemongrass oil blend coating using food-grade ingredients and assessed its potential to extend shelf life of Pili nut (Canarium ovatum) kernels. A glossy, hard but considerably brittle coating for the pili kernels were prepared with varying numbers of layers. On average, the mass of coating added per dip is 0.10 g, and the thickness of 5-layers of coating is 0.3 mm. The obtained reflectance spectra of the coated pili kernels implied the translucent nature of the coating, but becomes opaque as the number of layers are increased. Peroxide value (PV) and free fatty acid value (FFAV), were also measured at 10 days after application of coating. PV was lowest in the nuts with 5 coating layers, while this treatment did not reduce FFAV. These results indicate the effectiveness of our coatings in preventing peroxide production probably by blocking oxygen penetration and ultraviolet exposure, which are important triggers production of peroxide and other free radicals. Further tests and time-series experiments are planned to assess the dynamics of peroxide levels and the overall potential of our coating technology for Pili nut.
Effects of Influent Concentration and Flow Rate on the Sorption of Diesel Molecules on Kapok Fibers at Dynamic Conditions
Authors: Herrera Marvin U. , Manalo Ronniel D. , Maguyon-Detras Monet Concepcion , Balela Mary Donnabelle L.
Published: October 2021

Kapok fibers were used as a filtering medium in a column-type filtration set-up to separate diesel from water molecules in dynamic conditions. The amount of diesel flowing out the filtration system with respect to time was monitored. The times wherein the diesel first came out the filtering system (breakthrough time) were shorter at higher influent concentration and faster flow rate. Meanwhile, the total sorbed diesel molecules in the filtering system were increasing with the influent concentration while invariant with flow rate. The shorter breakthrough time was associated with the higher amount of diesel molecules that could be sorbed at a shorter time and the rate at which the overall processes of sorption-desorption-resorption proceeded. On the other hand, the sorption capacity of the system was viewed to be affected by the amount of moving diesel molecules that would interact with the kapok fibers and/or surface-sorbed diesel molecules but not by the contact time.
Evaluation of Carbon Nanotubes Asphalt Modification Using the Superpave Criteria
Authors: Khasawneh Mohammad Ali , Ghuzlan Khalid , Bani Melhem Nada
Published: October 2021

Rutting, fatigue cracking and low temperature cracking are the most important distresses in asphalt pavements as a result of changes in rheological properties of asphalt binder. Many types of modifiers were used to enhance asphalt behavior at both low and high temperatures. In this study, carbon nanotubes (CNT) were used as one of many nanomaterials that take a large attention in the latest research related to asphalt modification against different types of distresses. Effect of CNT on rheological properties of asphalt binder was investigated by testing unmodified and CNT modified asphalt binders using two of Superpave devices: Dynamic Shear Rheometer (DSR) and Bending Beam Rheometer (BBR). Penetration, softening point, flash point and rotational viscosity (RV) tests were carried out as well. CNT was added in 0.1%, 0.5% and 1% by weight of asphalt binder. It was found that adding CNT in 0.5% and 1% increase stiffness of asphalt and consequently asphalt pavement rutting resistance. On the other hand, this increase in stiffness affected pavement behavior adversely which is not desirable for fatigue and low temperature cracking. However, Superpave specifications were still satisfied and asphalt binder’s relaxation properties were improved upon CNT modification. It was eventually found that 0.5% of CNT is the optimum percentage for the best performance.
How Efficient are LC3 and GGBFS-Contained Mortar Mixtures Submerged into Na2SO4 Solution against External Sulfate Attack at an early Age?
Authors: Orynbassarov Islam , Shon Chang Seon , Kim Jong Ryeol , Bektimirova Umut , Tugelbayev Aidyn
Published: October 2021

Ordinary Portland cement (OPC) is one of the most widely used construction materials in civil engineering infrastructure construction but it is susceptible to sulfate attack. One of the ways to improve the sulfate resistance of an OPC mortar/concrete is to replace a certain amount of OPC with different pozzolanic materials such as ground granulated blast furnace slag (GGBFS) and metakaolin. The use of pozzolanic materials to mortar/concrete not only enhances durability but also reduces carbon dioxide (CO2) emission due to the less usage of OPC at the initial construction state. As considering these aspects, limestone calcined clay cement (LC3) has been developed in recent decades. However, the influence of LC3 on sulfate attack resistance has not been fully evaluated. Therefore, this study investigated the efficiency of LC3 mortar mixtures against sulfate attack at an early age (approximately 4.5 months) after two different curing periods, namely 1-day and 3-day curing, since the strength of the LC3 mixture is lower than OPC mixtures. To evaluate the synergistic effect of a combination of LC3 and GGBFS on the sulfate resistance, the LC3 and OPC mixtures containing 25% GGBFS were also assessed in terms of density, porosity, compressive strength, volumetric expansion, and weight changes. The experiment results show that the expansion of the LC3 mixture regardless of the addition of GGBFS and an initial curing strength made a plateau after a rapid increase up to 7 days, while the expansion of the OPC mixture kept increasing throughout the period. Furthermore, the addition of GGBFS to OPC or LC3 mixture provides the synergistic effect on reducing the expansion due to sulfate attack. Therefore, if LC3 mixture has high initial strength (min. 15 MPa) and dense microstructure to minimize the penetration of sulfate ion into the mixture, it is expected that LC3 mixture is more efficient than OPC mixture against the sulfate attack.
Complete Experimental Investigation for Short Polypropylene Fiber Reinforced Cement Mortars
Authors: Nikoloutsopoulos Nikolaos D. , Pandermarakis Zacharias G. , Papadioti Aikaterini , Douvis Panagiotis
Published: October 2021

In this study we investigate the addition of short polypropylene (PP) fibers in cement mortars for a wide volume percentage range. These fibers are dispersed easily in fresh mortar and create a dense network, whereas have as result the cracking reduction during dry shrinkage and the improvement of post peak response. A modified superplasticizer by lignosulfonate polymers basis was used, that keeps at low level the water to cement ratio and thus resulting to an improved mortar’s workability. Compressive strength, three-point flexural strength, drying shrinkage of hardened mortar, flow table test and air content of fresh mortar were studied in a range of volume percentages. The experimental response according to volume percentage was approximated by suitably attached theoretical models. The comparison of the obtained experimental values was done with unreinforced specimens as reference samples. From results elaboration it is concluded that the addition of PP fibers in cementitious mortars improves mortars post-peak response but weaken their compressive and flexural strengths and worsen their workability.