bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Backchannel: Promoting Students' Engagement in EFL Large Class
Authors: Harunasari Siti Yulidhar , Halim Nurhasanah
Published: April 2019

Students’ engagement is widely believed to be the single most significant predictor of persistence in learning process. It is generally reflected in active participation such as listening to presentation, expressing opinions, asking questions, and working on assignment. However, the idea of being embarrassed in front of peers and the feeling of being reluctant to disturb others can often be intimidating for many students and might prevent them to ask questions during class discussion. As the consequence, meaningful discussion that is expected to happen during the lesson oftentimes takes another form of side conversation such as whispering, note passing, and text messaging, the so-called backchanneling. In addition to this, the class size has also been generating another problem. The larger the class is, the greater challenges the teachers face to engage students in their learning. To address this issue, this research investigates how TodaysMeet, a digital backchannel chat platform, promotes students engagement in an Indonesian EFL large class and transfers the side conversation to the forefront. A number of 41 college students took part in this single-case study approach. The research data were taken from interviews, classroom observations, and students' task submission. The degree of students’ engagement was measured in 3 types of engagement i.e. emotional, behavioral and cognitive engagement. Research findings suggest that the digital backchannel promotes students engagement with learning activity, and enables lecturers to provide immediate feedback on the students understanding over the lesson material.
Open Online Assessment Management System Platform and Instrument to Enhance the Information, Media, and ICT Literacy Skills of 21st Century Learners
Authors: Khlaisang Jintavee , Koraneekij Prakob
Published: April 2019

Information literacy (IL), media literacy (ML), and information communication and technology literacy (ICT Literacy: ICTL) are some of the most important skills for 21st century learning and which help promote other skills, including life and career skills and learning and innovation skills. This kind of learning allows students to connect as a learning network without barriers or borders. It fully supports the use of equipment and technology to develop the skills necessary for life. The purpose of this research study is two-fold: first, to develop a research-based Open Online Assessment Management System (OOAMS), and second to develop the standardized measurement for an assessment of IL, ML, and ICTL for higher education learners. The sample group consists of 2,300 higher educa-tion learners and the methodology was divided into 3 phases: (1) developing the conceptual framework, definition, and features of IL, ML, and ICTL for higher education learners; (2) examining requirements, designing wireframes, and de-veloping an OOAMS for higher education students; and (3) testing the quality of OOAMS for IL, ML, and ICTL using exploratory factor analysis (EFA) and confirmation factor analysis (CFA) statistical methods. The research result found that, first, the specific features of the system included development using PHP and MySQL database and the design to interact with users with a responsive UI framework. The system is compatible with MOOCs and the Open edX platform, or can be used as a stand-alone application. It can create, share, copy, and extend both Likert scales and rubrics evaluation forms. It can also generate reports in both CSV and PDF formats. Secondly, the results of this research provided a standardized measurement for assessing IL (49 items), ML (63 items), and ICTL (69 items). Also, it can be improved or enhanced for online learning in a ubiqui-tous learning context such as e-learning, blended learning, virtual learning and MOOCs effectively.
Favoriser les apprentissages lexicaux dans les écoles isolées : la discussion lexicale à distance au cycle 3 (9-11 ans)
Authors: Sardier Anne
Published: April 2019

La présente contribution rend compte d'une étude intitulée "Écoles éloignées en réseau (EER)", menée dans le département du Cantal (Auvergne, France). Nous prenons pour cadre la didactique du lexique et nous interrogeons les effets des discussions en réseau sur le développement des apprentissages lexicaux dans la langue maternelle d'élèves de 9 à 11 ans. Le rôle des interactions verbales étant peu étudié dans le domaine de l'enseignement-apprentissage du lexique, il nous a semblé intéressant d'adopter cet angle de vue pour aborder les effets de ces discussions sur les apprentissages. Les discussions telles que nous les entendons sont, entre autres, basées sur les structures sémantiques, syntagmatiques et morphologiques du lexique. Elles prennent aussi en compte les caractéristiques spécifiques des discussions à distance (Develotte, Kern & Lamy, 2011). Un dispositif comparatif est déployé sur la base du caractère distanciel ou non de ce que nous nommons les "discussions lexicales". Les résultats de l'étude tendent à montrer les effets bénéfiques de ces discussions sur les apprentissages ; en outre, ils révèlent aussi des similitudes entre les échanges se déroulant à distance ou en présence, tout en confirmant en parallèle des différences importantes quant au déroulé des deux types de discussions (distance vs présence).
Quand l’œuvre d’art engendre l’écriture, ou l’obsession des « yeux de musées » dans Monsieur de Phocas de Jean Lorrain
Authors: Noir Pascal
Published: April 2019

Ce chapitre se penche sur les descriptions d’œuvres d’art (de Goya, Antonio Moro, James Ensor, Gustave Moreau, etc.) dans Monsieur de Phocas de Jean Lorrain. L’auteur de ce journal intime fictif, le duc de Fréneuse, alias Monsieur de Phocas, est obsédé par les regards peints ou marmoréens et hanté par la perversité et la mort. Au fil des pages, il consigne sa fascination et ses souffrances en des notations à la fois euphoriques et doloristes. Ses descriptions d’œuvres (ekphraseis) embraient la fiction sous l’effet de la pulsion scopique. Miroirs du narrateur, les œuvres d’art pallient la représentation de l’invisible, et le regard, quand bien même il peut susciter le plaisir, provoque surtout la jouissance morbide d’une réalité redoutée : l’angoisse de la mort.
L’œil théâtral, entre dialectique du regard et éloquence du silence
Authors: Smadja Isabelle
Published: April 2019

Les dramaturges contemporains questionnent fréquemment le regard que l’acteur jette sur celui du spectateur, inscrivant, au cœur de leur écriture, le caractère plus ou moins insoutenable de cet œil. Leur perception du regard recoupe l’analyse de L’Être et le Néant où Sartre considère le regard comme le mode privilégié de la relation aux autres. Mais en fondant son analyse sur une dissymétrie entre, d’une part, celui qui est regardé silencieusement, aliéné par ce jugement, pour lui inconnaissable, qu’on porte sur lui, et, d’autre part, celui qui regarde, pensé comme un juge en fonction, Sartre ne décrit-il pas la situation théâtrale qui confronte l’acteur à un public l’évaluant silencieusement, plus que la condition humaine ordinaire ? L’analyse d’un corpus varié de pièces de dramaturges contemporains, où les personnages sont pris dans des rapports de bourreaux à victimes, permet de répondre à cette question.
Apprendre à voir : Peter Handke sur les traces de Cézanne
Authors: Sarfati Lanter Judith
Published: April 2019

Dans La Leçon de la Sainte-Victoire, Peter Handke met en perspective l’œuvre de Cézanne et la tâche de l’écrivain. Contre une tradition héritée de Lessing qui considérait la peinture comme un art de l’espace et l’écriture comme un art du temps, Handke souligne les liens qui les unissent, et fait de la peinture un modèle pour sa propre poétique. Il montre en particulier combien les œuvres de Cézanne peuvent infléchir la perception visuelle de l’écrivain, en ce qu’elles s’attachent à dévoiler la profondeur émotionnelle, temporelle et imaginaire de la réalité. Ce chapitre analyse comment la peinture de Cézanne offre à Handke une manière nouvelle d’appréhender le visible et d’exprimer notre lien, phénoménologique et éthique, au monde.
Qui se cache derrière la baisse de la mobilité automobile en Île-de-France ? Une analyse typologique des pratiques modales des actifs occupés franciliens
Authors: Proulhac Laurent
Published: April 2019

L’article examine l’évolution des pratiques d’usage des modes de transport dans la mobilité quotidienne des actifs occupés de la région Île-de-France durant la dernière décennie. Dans un contexte inédit où la mobilité automobile individuelle régresse, l’objectif est de saisir les caractéristiques spatiales et socio-démographiques des actifs contribuant au report modal vers les modes alternatifs. En s’appuyant sur les données des deux dernières enquêtes de mobilité, une analyse typologique longitudinale des pratiques modales des actifs est menée. Cette approche permet d’identifier les caractéristiques des actifs ayant modifié leurs pratiques entre les deux dates. Les résultats mettent en exergue que de plus en plus d’actifs ayant leur résidence, ou leur emploi, à Paris ou dans le pôle urbain ont des pratiques liées à une mobilité alternative. Celle-ci concerne également davantage de cadres et professions intellectuelles supérieures, d’hommes, d'actifs à hauts revenus, ainsi que d’actifs avec enfants, d’actifs avec le permis et d’actifs disposant d’une voiture. Les résultats témoignent aussi de la baisse des pratiques associées à une mobilité automobile intense, celles-ci se recentrant particulièrement autour des actifs résidant ou travaillant dans le périurbain, des artisans-commerçants-chefs d’entreprise et des ouvriers, et des actifs de plus de trente ans.
Development of a Classification Model for CD4 Count of HIV Patients Using Supervised Machine Learning Algorithms
Authors: Idowu Peter Adebayo , Balogun Jeremiah Ademola
Published: April 2019

This chapter was developed with a view to present a predictive model for the classification of the level of CD4 count of HIV patients receiving ART/HAART treatment in Nigeria. Following the review of literature, the pre-determining factors for determining CD4 count were identified and validated by experts while historical data explaining the relationship between the factors and CD4 count level was collected. The predictive model for CD4 count level was formulated using C4.5 decision trees (DT), support vector machines (SVM), and the multi-layer perceptron (MLP) classifiers based on the identified factors which were formulated using WEKA software and validated. The results showed that decision trees algorithm revealed five (5) important variables, namely age group, white blood cell count, viral load, time of diagnosing HIV, and age of the patient. The MLP had the best performance with a value of 100% followed by the SVM with an accuracy of 91.1%, and both were observed to outperform the DT algorithm used.
Preventing Academic Misconduct
Authors: Baporikar Neeta
Published: April 2019

Cheating in academics has been on the increase and it reflects a lack of integrity on the part of students. If no efforts are made to prevent academic misconduct/dishonesty, it will contribute to the image and standing of higher education institutions (HEIs). Cheating is not only an ethical concern, but it also leads to lesser knowledge and competencies acquisition. Equally, when students cheat the faculty feel cheated and efforts wasted. The resultant may be low morale of educators which is dangerous. Hence, HEIs are making efforts to reduce cheating and strengthen academic integrity (AI) through polices, rules, and procedures. Nevertheless, the focus seems to be more on bolting the stable after the horse has left or is largely administrative in nature. Therefore, adopting a mixed method approach the core of this chapter is to focus on preventing cheating through academic approach. The objective is to discuss how student-centered teaching strategies can prevent academic misconduct with focus on management disciple.
Social Innovation in Public Schools
Authors: Silva Isabela , Silva Karmel Nardi , Lotthammer Karen Schmidt , Bilessimo Simone , Silva Juarez Bento
Published: April 2019

The project “Promoting Digital Inclusion in Public Schools Through Integration of Innovative Low-Cost Technologies in the Teaching of STEM Subjects” has been carried out by the Remote Experimentation Laboratory (RExLab), Federal University of Santa Catarina, since 2008. This project has trained 363 teachers from 6 schools, since it is an initiative of technology integration in the basic education of the Brazilian public-school system. The present study focuses on the benefits of the project in relation to the teachers involved in its scope. The positive results acquired by the project over the years demonstrate that the integration of technologies in education by teachers in the public network is a practice to be encouraged.
Using Tablet Applications as Assistive Tools in Teaching English as a Foreign Language
Authors: Seifert Tami , Zimon Veronika
Published: April 2019

A case study examined the contribution of tablet applications for English language acquisition and improvement of reading and reading comprehension skills among pupils diagnosed with learning disabilities and those not diagnosed with learning disabilities. Participants were Grade 4 pupils from a public school in central Israel in two groups. Group 1 included two boys and two girls diagnosed with learning disabilities; Group 2 included two boys and two girls not diagnosed with learning disabilities. English learning applications were used with the intent of improving the abilities of letter recognition, reading, reading comprehension, listening comprehension, and oral expression in English in a fun way relevant to the pupils' lives. Findings indicated a more pronounced improvement in English reading and reading comprehension skills among pupils who were diagnosed with learning disabilities. The research also confirms that the use of tablet applications resulted in increased motivation for learning.
Prioritization of Elements Selection in Order-Picking Problems Through a Preference Model Influenced by Personality
Authors: Castro-Rivera Jorge , Morales-Rodríguez María Lucila , Rangel-Valdez Nelson , Cruz-Reyes Laura , Pazos R. Rodolfo A.
Published: April 2019

In the purchase of products, a warehouse is an integral part between producers and customers, where the order picking is one of several operations involved. This chapter highlights the prioritization of the selection of the elements that make up an order based on the influence of the customer's personality on their preferences in order to choose the alternatives of the order. For this purpose, two approaches of personality theories are integrated in order to model the influence of personality as a factor that influences the parameter values of preference models based on outranking relations. The application case deals with an online supermarket using an intelligent virtual agent as the assistant that receives the order, who emulates the personality and preferences of the customer, selecting and delivering the best order. This chapter will emulate the behavior of decision makers, showing the impact of personality on preferences and will analyze its range of applications in problems related to the order picking.
An Order-Picking Model Associated With Hospital Components and Solved by a Firefly Algorithm
Authors: Alor Alan , Mota David , Olmos-Sánchez Karla , Rodas-Osollo Jorge
Published: April 2019

The health industry utilizes critical machines to treat and diagnose illness in patients. Most hospitals cannot afford to have such a machine unavailable; then, they choose to have many components of their critical machines stored inside a warehouse in the hospital. This strategy helps to avoid larger idle times when a machine breaks down. In this chapter, the firefly metaheuristic was selected to solve this problem. This algorithm is related to the behavior of fireflies when they search for potential mating partners. It is also used as a defense against other insects. This behavior consists in the light that they produce. This brightness is the key in this algorithm because, based on this concept, we can use it to attract other fireflies. This characteristic inspired the method to pick components in hospital warehouses.
Identification of Continued Improvement in the Resolution of an Order Picking Model for a Furniture Factory to Improve the Distribution of Wood Furniture
Authors: Del Angel Adriana , Garcia-Isidro Fernando
Published: April 2019

This chapter is about the analysis with respect to the accommodation of wooden furniture inside a vehicle for their respective distribution, verifying the option of finding the correct stow model and accommodation maximum within the same, taking as a basis the traditional industry of furniture. Driving this problematic alluding to what is known as order picking takes into account the various restrictions in order to carry out a logical arrangement and awareness on the various care that must be carried out at the time of the handling of the same, all this with the aim of finding the best practices at the time of the mount of merchandise in the vehicle and the further optimization of space in the interior. With the help of software order picking algorithm visualization, it will display the virtual simulation associated with the improvement of material and products in a warehouse to display the form of accommodation of the goods within the container selected for the study. The management of a warehouse is a complex process that in turn comprises a good number of processes and activities typical of the logistics function that has evolved enormously in recent years. Continuous improvement that recurs costs and increases the productivity of the products. This management model is focused on the creation of flow to be able to deliver a maximum value to customers. It is essential to manage the resources of the warehouse, as units where a proposal is made, and to give possible solutions in the management of their processes, for which a record of information of a warehouse was made. For this, the order picking model was used, which is the selection of orders where you can define how they will be stored.
Perishing Goods Transportation Problem
Authors: Díaz-Parra Ocotlán , Ruiz-Vanoye Jorge A. , Fuentes-Penna Alejandro , Barrera-Cámara Ricardo A. , Ruiz-Jaimes Miguel A. , Toledo-Navarro Yadira , Lezama-León Myrna , Lezama-León Evangelina
Published: April 2019

The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minimize costs and optimize transportation times and costs. Reduction of the time of transportation of perishable products increases the likelihood of delivering fresh products and minimizes economic losses. Transportation time and temperature suitable for the conservation of the product are priorities in this type of problem because the product is transported in time reduces the probability that the product will be exposed to extreme conditions that favor its decomposition. To check the feasibility of the model, this study proposes a set of instances subject to an application obtained a series of solutions that are analyzed to identify if there is a feasible solution.
Searching for the Optimum Number of Capacitated Materialistic Cars for an Automotive Manufacturing Cell Using a Shuffled Frog Leap Algorithm
Authors: Barzaga Denise , Carrum Elías
Published: April 2019

Due to the worldwide strengthening of the automotive sector, it presents itself as a challenge for the companies that comprise it to immerse themselves in processes of continuous improvement that contribute to increasing the satisfaction of the needs of its customers, as well as achieving a better positioning in the market. This goal is impossible to reach without proper design and management of the supply chain, consideration of issues related to logistics and inclusion of innovative techniques. In the chapter, the authors considered a manufacturing cell responsible for making the assembly of seats for the automotive industry. Waiting times and blocking of machines are incurred by not using the optimum number of vehicles to be used for the transfer of materials and the capacity with which they should count. The objective of this research is to know near-optimum quantities and capacities of the vehicles, materialistic cars, to avoid this situation. The use of mathematical formulations, simulation, and optimization techniques will be used to solve the problem.
A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry
Authors: Panchal Dilbagh , Chatterjee Prasenjit , Yazdani Morteza , Chakraborty Shankar
Published: April 2019

The aim of this chapter is to develop a hybrid decision-making framework for studying the risk issues related to failure of an industrial system. On the basis of plant expert's knowledge, failure mode effect analysis (FMEA) sheet has been generated and various failure causes associated with the sub-systems were listed. On the basis of three risk factors, namely probability of occurrence of failure, severity and non-detection (, and ), Risk Priority Numbers (RPN) for each failure cause has been tabulated. The demerits of FMEA approach in prioritizing the failure causes has been overcome by implementing fuzzy rule-based tool. The consistency and heftiness of the ranking results have been tested by implementing grey relation analysis (GRA) approach. Comparison of ranking results has been done for effective decision making of ranking results. The accuracy of decision results would be highly useful in developing a planned maintenance policy for the plant. The proposed framework has been tested with its application on a cooling tower system of a thermal power plant located in the northern part of India.
Optimization of Performance and Emissions Parameters of a Biodiesel-Run Diesel Engine
Authors: Debbarma Sumita , Das Biplab , Jagadish
Published: April 2019

Biodiesel has been immersed as an immediate alternative of fossil fuels for diesel engines. However, choosing a good combination of biodiesel blends based on both performance and emission depend on various factors. The chapter presents the modeling and optimization of performance and emissions parameters of a biodiesel-run diesel engine using an integrated MCDM approach. The integrated MCDM approach consists of entropy with MCRA method. An experimental case study on performance and emission study of diesel engine is considered to show the modeling capability of the proposed method. The results show that trail no. 4 yields the optimal setting compare to the other combinations. The trail no. 4 gives optimum operating condition such as 85-90% load and PB10 which provides optimum performance parameters like higher brake thermal efficiency (BTE), lower brake-specific energy consumption (BSEC), lower carbon monoxide (CO), lower hydro carbon (HC), and lower oxides of nitrogen (NOx), respectively.
Prioritization of Farming Process by Considering Sustainability as Major Issue
Authors: Satapathy Suchismita , Mishra Debesh
Published: April 2019

Agriculture assumes an imperative role in the development of Indian economy, and it additionally contributes around 15% to the nation's GDP, offering work chances to around half of its population. Diverse devices and supplies implied for farming machines are utilized in farming processes which are either manually or mechanically operated. In spite of the fact that there have been advancements in new technologies, sustainability is the most important issue in farming. Modern farming process and advanced machineries have solved OHS (occupational health and safety) problems of farming. But modern equipment's smoke, dust, chemicals, and fertilizers both in manual-driven farming and modern farming are major environmental issues. So in this chapter, sustainability issues in farming are prioritized such that the policies, equipment, and process must be modified.
Reducing Clinical Laboratory Footprints on the Environment With Intuitionistic Fuzzy Distance Measure
Authors: Kumar Vijay , Chawla Jyoti , Kumar Rajeev
Published: April 2019

Medical diagnosis with the help of computational techniques is a very useful tool for doctors for the purpose of better diagnosis. In this chapter, an attempt has been made to reduce the number of tests required for diagnosis using generalized fuzzy sets for initial decision making as per the characteristics of ingested water in normal routine. The quality of water in terms of type and concentration of contaminants varies from region to region. The analogy between concentration of different contaminants in drinking water and risk analysis based on intuitionistic fuzzy sets (IFSs) have been investigated. Hypothetical data was processed in view of the finite set of heavy metals, diseases, and places to investigate the effect of selected heavy metal on the human health. The findings will not only help in diagnosis but also offer cost-cutting and ecofriendly strategy by avoiding unnecessary clinical laboratory examinations.
China's Economic Growth and Innovation in Globalization
Authors: Christiansen Bryan
Published: April 2019

The purpose of this chapter is to investigate the potential long-term effects of contemporary globalization on the Chinese economy and innovation in an era of global hypercompetition. Globalization today is basically accepted as the process that removes geographical boundaries and enables the economic integration and interdependence of national economies into the international economy through trade, foreign direct investment, migration, and capital flows. Since productivity remains the critical determinant of long-term national growth and prosperity, the effects of today's globalism on productivity demands the need for business organizations in particular to sustain a competitive advantage and to remain profitable over time. Based on an integrative literature review, this chapter explores why China must continue to develop its innovation capabilities as well as to provide opportunities for foreign businesses over the long-term via responsible economic development that also benefits the nation's domestic population.
Literature Survey on the “Belt and Road” Initiative
Authors: Shahriar Saleh
Published: April 2019

The purpose of this chapter is to analyze some peer-reviewed publications to find out the key research journals, contents, and emerging issues of the “B&R” Initiative led by China. Based on the tools and techniques of bibliometric approach, a total of 210 research papers were extracted systematically from the Scopus, Science Direct, and the Web of Science databases. The research methods integrated in this chapters are systematic literature review, bibliometric citation, authorships and affiliations, and contents analyses. This chapter argues that there are growing academic interests and attentions in the B&R research across the world. The principal reasons for the increase in research with regard to the B&R Initiative are the appearance of publications in prestigious journals, the global economic rise of China and its model of development, and the policy priorities of the government of China. The results show that a total of 32 peer-reviewed research papers were published in 10 prestigious journals.
Similarity-Based Indices or Metrics for Link Prediction
Authors: Bhanodia Praveen Kumar , Sethi Kamal Kumar , Khamparia Aditya , Pandey Babita , Prajapat Shaligram
Published: April 2019

Link prediction in social network has gained momentum with the inception of machine learning. The social networks are evolving into smart dynamic networks possessing various relevant information about the user. The relationship between users can be approximated by evaluation of similarity between the users. Online social network (OSN) refers to the formulation of association (relationship/links) between users known as nodes. Evolution of OSNs such as Facebook, Twitter, Hi-Fi, LinkedIn has provided a momentum to the growth of such social networks, whereby millions of users are joining it. The online social network evolution has motivated scientists and researchers to analyze the data and information of OSN in order to recommend the future friends. Link prediction is a problem instance of such recommendation systems. Link prediction is basically a phenomenon through which potential links between nodes are identified on a network over the period of time. In this chapter, the authors describe the similarity metrics that further would be instrumental in recognition of future links between nodes.
Application and Impact of Social Network in Modern Society
Authors: Rath Mamata
Published: April 2019

Social network and its corresponding website permits a client to make a profile, set up an authorized account to create a digital representation of themselves, to select other members of the site as contacts, make connections with them, communicate and engage with these users in different social activities, etc. So, social network includes details of persons, group details, their friends list, contact list, business, affiliations, personal data, personal preferences, and historical information. In this age of smart communication and technology, most of the time people are connected with mobile smart telephones in their work culture, home, office, or any other related places. As they are constantly associated with social systems for long time, they get new posts, messages, and current refreshed news readily available in a flash. This is the constructive part of social networking that individuals consistently remain refreshed with most recent news and innovation. This chapter presents an overview of social network design, various issues, and emerging trends that are evolved simultaneously with modern age. It also presents a detail study on application and impact of social network in modern society as well as exhibits an exhaustive review of security measures in social sites.
Delay Tolerant Networks Architecture, Protocols, and Its Application in Vehicular Ad-Hoc Networks
Authors: Singh Vijander , Raja Linesh , Panwar Deepak , Agarwal Pankaj
Published: April 2019

Due to the high mobility of vehicular nodes in VANETs, there are high chances of partitions in the network. In such a situation, the protocols developed for VANETs cannot work well and an alternative network known as DTN (delay tolerant network) is capable enough to deal with VANET characteristics. The network which does not need any immediate data delivery and can wait for time and delivery of data is known as DTN. The concept of hold and forward the message is exploited by DTN. In this chapter, the authors are providing characteristics, architecture, and applications of delay tolerant vehicular ad-hoc networks.
Deployment of Context-Aware Sensor in Wireless Sensor Network Based on the Variants of Genetic Algorithm
Authors: Vishal Puri , Ramesh Babu A.
Published: April 2019

Wireless sensor networks (WSNs) are generally a group of spatially scattered and devoted sensors to record and monitor the physical environmental condition, and the collected data is grouped at a central location. In fact, the environmental conditions such as sound, humidity, temperature, wind, pollution levels, etc., can be clearly determined by WSNs. The principal objective of WSNs is to organize the whole sensor nodes in their related positions, thereby developing an effective network. In WSNs, target COVerage (TCOV) and Network CONnectivity (NCON) are the main concern of the sensor deployment problem. Many research works aspire the evolvement of smart context awareness algorithm for sensor deployment issues in WSN. Here the TCOV and NCON process are deployed as the minimization problem. This article makes an analysis of different GA variations in attaining the objective. The GA variations are as follows: self-adaptive genetic algorithm (SAGA), deterministic-adaptive genetic algorithm (DAGA), Individual- Adaptive Genetic Algorithm (IAGA). Finally, the methods are compared to one another in terms of connectivity and coverage performance.
T-Whale
Authors: Mohan Ch.Ram , Reddy A. Venugopal
Published: April 2019

One of the infrastructureless networks built by various independent mobile nodes is mobile ad hoc network (MANET), which is an emerging technology, requiring a secure routing protocol for data transmission. Accordingly, literature presents various secure routing protocols for MANETs by utilizing trust and data encryption. In this article, a whale optimization algorithm (WOA) is utilized for selecting the optimal secured routing path in the MANET. The WOA algorithm utilizes the trust factor and the distance between the nodes for computing the fitness for the routing path. Overall, the steps involved in the proposed routing algorithm are as follows: i) Measuring the trust and the distance-based metrics for every node; ii) Discovering k-disjoint path; and iii) Determining the optimal path based on the trust and the distance-based metrics. The performance of the trust-based WOA (T-Whale) is analyzed using the metrics, energy, throughput, and packet delivery rate. From the simulation results, it is evident that the T-Whale algorithm has the improved energy, throughput, and PDR values of 27.4520, 0.4, and 0.4, at the simulation time of 10 sec over the conventional trust random search algorithm when the node is under attack.
The Shifted Turán Sieve Method on Tournaments
Authors: Kuo Wentang , Liu Yu-Ru , Ribas Sávio , Zhou Kevin
Published: April 2019

We construct a shifted version of the Turán sieve method developed by R. Murty and the second author and apply it to counting problems on tournaments. More precisely, we obtain upper bounds for the number of tournaments which contain a fixed number of restricted $r$-cycles. These are the first concrete results which count the number of cycles over “all tournaments”.
Challenges in Optimal Control of Nonlinear PDE-Systems
Authors: Hintermüller Michael , Kunisch Karl , Leugering Günter , Rocca Elisabetta
Published: April 2019

The workshop focussed on various aspects of optimal control problems for systems of nonlinear partial differential equations. In particular, discussions around keynote presentations in the areas of optimal control of nonlinear/non-smooth systems, optimal control of systems involving nonlocal operators, shape and topology optimization, feedback control and stabilization, sparse control, and associated numerical analysis as well as design and analysis of solution algorithms were promoted. Moreover, also aspects of control of fluid structure interaction problems as well as problems arising in the optimal control of quantum systems were considered.
Mini-Workshop: Gibbs Measures for Nonlinear Dispersive Equations
Authors: Genovese Giuseppe , Schlein Benjamin , Sohinger Vedran
Published: April 2019

In this mini-workshop we brought together leading experts working on the application of Gibbs measures to the study of nonlinear PDEs. This framework is a powerful tool in the probabilistic study of solutions to nonlinear dispersive PDEs, in many ways alternative or complementary to deterministic methods. Among the special topics discussed were the construction of the measures, applications to dynamics, as well as the microscopic derivation of Gibbs measures from many-body quantum mechanics.
Enumerative Combinatorics
Authors: Bousquet-Mélou Mireille , Drmota Michael , Krattenthaler Christian , Noy Marc
Published: April 2019

Enumerative Combinatorics focusses on the exact and asymptotic counting of combinatorial objects. It is strongly connected to the probabilistic analysis of large combinatorial structures and has fruitful connections to several disciplines, including statistical physics, algebraic combinatorics, graph theory and computer science. This workshop brought together experts from all these various fields, including also computer algebra, with the goal of promoting cooperation and interaction among researchers with largely varying backgrounds.
Geometrie
Authors: Lott John , Neves André , Taimanov Iskander A. , Wilking Burkhard
Published: April 2019

The workshop Geometrie, organized by John Lott (Berkeley), André Neves (London), Iskander Taimanov (Novosibirsk) and Burkhard Wilking (Münster) was well attended with over 53 participants with broad geographic representation from all continents, and held in a very active atmosphere. During the meeting, various interesting topics in geometry were discussed, such as geometric flows, Kähler geometry, manifolds with nonnegative or positive curvature, and minimal surfaces.
Precarização do emprego em um hospital público do Sergipe: um estudo de caso com profissionais da enfermagem
Authors: Nascimento Tereza Cecília Costa do , Araújo Marley Rosana Melo de , Almeida Saulo Pereira de
Published: April 2019

Este trabalho investigou a percepção de precarização do emprego em um hospital público do Estado de Sergipe. O Inventário de Precarização Laboral (IPREL) foi aplicado em 279 profissionais de enfermagem e, após Análise Fatorial por Eixos Principais, rotação Promax, foram extraídos 2 fatores (Higiene Ocupacional e Justiça: α= 0,87; Relações de Trabalho: α= 0,67) que explicam 19,09% da variância dos dados. Trabalhadores de enfermagem pouco vivenciam condições de trabalho adequadas e seguras e percepção de justiça nas relações estabelecidas no trabalho (M = 1,5; DP = 0,52), ainda que acusem razoável ocorrência, por parte da organização empregadora, de práticas de gestão de pessoas voltadas ao reconhecimento profissional, à participação nas tomadas de decisões e à observação das obrigações trabalhistas remuneratórias (M = 2,0; DP = 0,51). Os resultados apontam para um quadro mais crítico referente às condições materiais de trabalho e relações de equidade, sinalizando a necessidade de melhorias corretivas.
Aderência aos critérios de sustentabilidade pelos órgãos federais no Estado de São Paulo
Authors: Nascimento Jose Orcelio do , Brandeburski Edmundo Henrique , Zittei Marcus Vinicius Moreira , Lugoboni Leonardo Fabris
Published: April 2019

As políticas de sustentabilidade têm sido cada vez mais reconhecidas como solução para a integração ambiental nos processos de compra que envolvem o setor público. O contrato administrativo para a contratação no setor público apresenta os direitos e deveres de todas as partes envolvidas, pois é um reflexo leal do edital e não agrega qualquer inovação a esse documento convocatório. O objetivo deste artigo foi analisar a aderência dos órgãos federais às exigências de sustentabilidade em seus processos de compra. A metodologia utilizada contou com análise documental e é de natureza qualitativa. O material analisado compreendeu documentos relativos aos processos licitatórios realizados pelos órgãos federais do Estado de São Paulo, nos últimos cinco anos. Os resultados mostram que houve processos licitatórios que apresentaram requisitos de sustentabilidade e processos de licitação que não apresentaram tais requisitos. Além disso, as constatações tornam evidente que alguns órgãos públicos têm familiaridade com critérios de sustentabilidade, enquanto outros não.
Copy number variation (CNV) in the IGF1R gene across four cattle breeds and its association with economic traits
Authors: Ma Yi-Lei , Wen Yi-Fan , Cao Xiu-Kai , Cheng Jie , Huang Yong-Zhen , Ma Yun , Hu Lin-Yong , Lei Chu-Zhao , Qi Xing-Lei , Cao Hui , Chen Hong
Published: April 2019

Abstract. The insulin-like growth factor 1 receptor (IGF1R) plays a vital role in
immunomodulation and muscle and bone growth. The copy number variation (CNV) is
believed to the reason for many complex phenotypic variations. In
this paper, we statistically analyzed the copy number and the expression
profiling in different tissue types of the IGF1R gene using the
422 samples from four Chinese beef cattle breeds, and the mRNA of
IGF1R was widely expressed in nine tissue types of adult cattle (heart,
liver, kidney, muscle, fat, stomach, spleen, lung and testis). Results of CNV and growth traits indicated that the IGF1R CNV
was significantly associated with body weight and body height of Jinnan (JN)
cattle and was significantly associated with body height and hucklebone width
of Qinchuan (QC) cattle, making IGF1R CNV a promising molecular
marker to improve meat production in beef cattle breeding. Bioinformatics
predictions show that the CNV region is highly similar to the human genome,
and there are a large number of transcription factors, DNase I hypersensitive
sites, and high levels of histone acetylation, suggesting that this region may
play a role in transcriptional regulation, providing directions for further
study of the role of bovine CNV and economic traits.
Atmospheric blocking induced by the strengthened Siberian High led to drying in west Asia during the 4.2 ka BP event – a hypothesis
Authors: Perşoiu Aurel , Ionita Monica , Weiss Harvey
Published: April 2019

Abstract. Causal explanations for the 4.2 ka BP event are based on the
amalgamation of seasonal and annual records of climate variability that was
manifest across global regions dominated by different climatic regimes.
However, instrumental and paleoclimate data indicate that seasonal climate
variability is not always sequential in some regions. The present study
investigates the spatial manifestation of the 4.2 ka BP event during the boreal
winter season in Eurasia, where climate variability is a function of the
spatiotemporal dynamics of the westerly winds. We present a multi-proxy
reconstruction of winter climate conditions in Europe, west Asia, and
northern Africa between 4.3 and 3.8 ka. Our results show that, while winter
temperatures were cold throughout the region, precipitation amounts had a
heterogeneous distribution, with regionally significant low values in W Asia,
SE Europe, and N Europe and local high values in the N Balkan Peninsula, the
Carpathian Mountains, and E and NE Europe. Further, strong northerly winds
were dominating in the Middle East and E and NE Europe. Analyzing the
relationships between these climatic conditions, we hypothesize that in the
extratropical Northern Hemisphere, the 4.2 ka BP event was caused by the
strengthening and expansion of the Siberian High, which effectively blocked
the moisture-carrying westerlies from reaching W Asia and enhanced outbreaks
of cold and dry winds in that region. The behavior of the winter and summer
monsoons suggests that when parts of Asia and Europe were experiencing winter
droughts, SE Asia was experiencing similar summer droughts, resulting from
failed and/or reduced monsoons. Thus, while in the extratropical regions of
Eurasia the 4.2 ka BP event was a century-scale winter phenomenon, in the
monsoon-dominated regions it may have been a feature of summer climate
conditions.
Revised records of atmospheric trace gases CO2, CH4, N2O, and δ13C-CO2 over the last 2000 years from Law Dome, Antarctica
Authors: Rubino Mauro , Etheridge David M. , Thornton David P. , Howden Russell , Allison Colin E. , Francey Roger J. , Langenfelds Ray L. , Steele L. Paul , Trudinger Cathy M. , Spencer Darren A. , Curran Mark A. J. , van Ommen Tas D. , Smith Andrew M.
Published: April 2019

Abstract. Ice core records of the major atmospheric greenhouse
gases (CO2, CH4, N2O) and their isotopologues covering recent
centuries provide evidence of biogeochemical variations during the
Late Holocene and pre-industrial periods and over the transition to the
industrial period. These records come from a number of ice core and firn air
sites and have been measured in several laboratories around the world and
show common features but also unresolved differences. Here we present
revised records, including new measurements, performed at the CSIRO Ice Core
Extraction LABoratory (ICELAB) on air samples from ice obtained at the high-accumulation site of Law Dome (East Antarctica). We are motivated by the
increasing use of the records by the scientific community and by recent
data-handling developments at CSIRO ICELAB. A number of cores and firn air
samples have been collected at Law Dome to provide high-resolution records
overlapping recent, direct atmospheric observations. The records have been
updated through a dynamic link to the calibration scales used in the Global
Atmospheric Sampling LABoratory (GASLAB) at CSIRO, which are periodically
revised with information from the latest calibration experiments. The
gas-age scales have been revised based on new ice-age scales and the
information derived from a new version of the CSIRO firn diffusion model.
Additionally, the records have been revised with new, rule-based selection
criteria and updated corrections for biases associated with the extraction
procedure and the effects of gravity and diffusion in the firn. All
measurements carried out in ICELAB–GASLAB over the last 25 years are now
managed through a database (the ICElab dataBASE or ICEBASE), which provides
consistent data management, automatic corrections and selection of
measurements, and a web-based user interface for data extraction. We present
the new records, discuss their strengths and limitations, and summarise their
main features. The records reveal changes in the carbon cycle and
atmospheric chemistry over the last 2 millennia, including the major
changes of the anthropogenic era and the smaller, mainly natural variations
beforehand. They provide the historical data to calibrate and test the next
inter-comparison of models used to predict future climate change (Coupled
Model Inter-comparison Project – phase 6, CMIP6). The datasets described in
this paper, including spline fits, are available at https://doi.org/10.25919/5bfe29ff807fb (Rubino et al., 2019).
HOMMEXX 1.0: a performance-portable atmospheric dynamical core for the Energy Exascale Earth System Model
Authors: Bertagna Luca , Deakin Michael , Guba Oksana , Sunderland Daniel , Bradley Andrew M. , Tezaur Irina K. , Taylor Mark A. , Salinger Andrew G.
Published: April 2019

Abstract. We present an architecture-portable and
performant implementation of the atmospheric dynamical core (High-Order
Methods Modeling Environment, HOMME) of the Energy Exascale Earth System
Model (E3SM). The original Fortran implementation is highly performant and
scalable on conventional architectures using the Message Passing Interface
(MPI) and Open MultiProcessor (OpenMP) programming models.
We rewrite the model in C++ and use the Kokkos library to
express on-node parallelism in a largely architecture-independent
implementation. Kokkos provides an abstraction of a compute node or device,
layout-polymorphic multidimensional arrays, and parallel execution
constructs. The new implementation achieves the same or better performance on
conventional multicore computers and is portable to GPUs. We present
performance data for the original and new implementations on multiple
platforms, on up to 5400 compute nodes, and study several aspects of the
single- and multi-node performance characteristics of the new implementation
on conventional CPU (e.g., Intel Xeon), many core CPU (e.g., Intel Xeon Phi Knights Landing),
and Nvidia V100 GPU.
Green's theorem in seismic imaging across the scales
Authors: Wapenaar Kees , Brackenhoff Joeri , Thorbecke Jan
Published: April 2019

Abstract. The earthquake seismology and seismic exploration communities have developed a
variety of seismic imaging methods for passive- and active-source data.
Despite the seemingly different approaches and underlying principles, many of
those methods are based in some way or another on Green's theorem. The aim of
this paper is to discuss a variety of imaging methods in a systematic way,
using a specific form of Green's theorem (the homogeneous Green's function
representation) as a common starting point. The imaging methods we cover
are time-reversal acoustics, seismic interferometry, back propagation,
source–receiver redatuming and imaging by double focusing. We review
classical approaches and discuss recent developments that fully account for
multiple scattering, using the Marchenko method. We briefly indicate new
applications for monitoring and forecasting of responses to induced seismic
sources, which are discussed in detail in a companion paper.