bluuebunny/crossref_metadata_2025 huggingface dataset:
Du périmètre des situations d’enseignement-apprentissage
Authors: Tupin Frédéric , Dolz Joaquim
Published: April 2018

Le projet central de ce numéro thématique des Dossiers des Sciences de l''Education qui consiste à faire le point sur les connaissances relatives aux relations qu’entretiennent les processus d''enseignement et les processus d’apprentissage peut, à l''évidence, emprunter des formes plurielles. Celle que nous avons choisie d''adopter ici interroge la notion de situation et l''étendue de son périmètre, débat qui paraît central quant aux liens entre " enseigner" et " apprendre" que la recherche en éducation est susceptible d''éclairer. Pour ce faire, l''approche sociologique est questionnée dans sa capacité à élargir cette notion pour mieux cultiver, in fine, un dialogue fructueux avec les didactiques.
Y a-t-il UNE bonne façon d’enseigner ? Mise en questions de la thèse de C. Gauthier
Authors: Paquay Léopold
Published: April 2018

Cette contribution nous propose, en questionnant la thèse de la supériorité des pratiques pédagogiques référées à l’enseignement direct qu’avance C. Gauthier, de poser, une fois encore la question de savoir s’il existe une bonne façon d’enseigner. S’il y a lieu de reconnaître certains avantages, en termes de résultats scolaires, aux pratiques d’enseignement «explicites » , ces avantages ne concernent que certaines populations d’élèves et ne sauraient donc fonder la supériorité universelle de cette forme d’enseignement. Il importe davantage de tenter de répondre à la question de savoir : «Quelles pratiques enseignantes sont particulièrement efficaces en vue d’amener les élèves à la maîtrise de compétences significatives ? » en évitant les positions simplificatrices et les thèses «manichéennes » car les déterminants de l’efficacité sont nombreux et les processus sont complexes.

(OPEN).
Des références pour la démarche d’investigation. Analyse de cas : séances de classe avec des professeurs stagiaires
Authors: Calmettes Bernard
Published: April 2018

La recherche présentée s’intéresse de manière comparative aux références mobilisées par des professeurs stagiaires mettant en oeuvre une démarche d’investigation et aux références à cette démarche décrites à partir des textes officiels et dans la littérature didactique. Des études de cas mettent en évidence, de manière contrastée, des évolutions dans les références mises en oeuvre dans le déroulement des séances.
Productions de codes iconiques à l’école enfantine en mathématiques et dans des activités d’«Education et Ouverture aux Langues»
Authors: Leutenegger Francia , Schubauer-Leoni Maria Luisa
Published: April 2018

This contribution outlines the function of iconic codes that are implemented in two didactical situations, driven by some distinct teaching intentions, at the pre-school level : one is about the first steps into numeration and another one is about a first initiation to language diversity (“ Education et Ouverture aux Langues à l’Ecole”, so-called EOLE). In both cases, the iconic code is supposed to result from a collective agreement in the class. The functions of the codes for naming objects were analysed a priori in each teaching situations, before an effective enactment was carried out in the classrooms. Then, referring to social interactionism theory, and more precisely to the categories of the model of the joint action teacher-students, the research accounts for the evolution of the meaning-making process, leading to a shared code for naming objects. The characteristics of the expected signs, and their function, draws on the elaboration of collective and personal semioses, but also on the institutionnalized teaching forms that give a status to the diverse stages of the meaning making process, within (and by the mean of) the dynamics of the class.
Quantitative Trait Locus Mapping for Flowering Time in a Lowland × Upland Switchgrass Pseudo‐F2 Population
Authors: Tornqvist Carl‐Erik , Taylor Megan , Jiang Yiwei , Evans Joseph , Buell C. Robin , Kaeppler Shawn M. , Casler Michael D.
Published: April 2018

Flowering is an important developmental event in switchgrass (Panicum virgatum), as the time to complete the life cycle affects overall biomass accumulation. The objective of this study was to generate a linkage map using single nucleotide polymorphism (SNP) markers to identify quantitative trait loci (QTL) associated with flowering time. A pseudo‐F2 population was created by crossing two siblings derived from an initial cross between the lowland population Ellsworth and the upland cultivar Summer. Heading and anthesis dates were collected for 2 yr at two locations: DeKalb, IL and Lafayette, IN. Nine QTL for flowering time were detected, two of which were heading‐associated, four anthesis‐associated, and three associated with both heading and anthesis. One QTL on linkage group (LG) 2a was detected for heading and anthesis in each location and year when environments were analyzed separately, and in a combined analysis across both locations and years. The effect on heading and anthesis of the QTL on LG 2a ranged from 4 to 13 and 5 to 9 d, respectively, depending on environment. Our findings validate QTL for switchgrass flowering time from previous research and identified additional QTL. Based on the switchgrass reference genome version 1.1, flowering time gene homologs reside near the LG 2a QTL and include PSEUDO RESPONSE REGULATOR 5, SUPPRESSOR OF FRIGIDA 4, and APETALA 1, respectively involved in the circadian clock, vernalization, and floral meristem identity. Markers linked to the QTL can be used to improve the efficiency of breeding switchgrass for delayed flowering to increase biomass yield.
Correction of morphofunctional disturbances arising when modelling Preeclampsia with resveratrol and nicorandil
Authors: Stupakova Elena G. , Lazareva Galina A. , Gureev Vladimir V.
Published: April 2018

Introduction: Preeclampsia is one of the most serious diseases of the second half of pregnancy and is surely amongst the top three causes of maternal mortality. Therefore, the creation of new drugs for preventing and correcting preeclampsia is an urgent task.

Methods: In the experiment, an ADMA-like L-NAME-induced model of preeclampsia was reproduced. To assess the emerging morphofunctional disorders, the following parameters were used: blood pressure, endothelial dysfunction coefficient, microcirculation in the placenta, proteinuria, fluid content in the large omentum, concentration of terminal metabolites in the blood plasma, morphological state of the placenta and kidneys and morphometric parameters of the foetus.

Results and Discussion: Injection of L-NAME into the animals from the 14th to the 20th day of pregnancy causes disorders: an increase in systolic and diastolic blood pressure by 1.4 and 1.5 times, an increase in proteinuria by 3.3 times and an increase in the fluid content in a large omentum from 45.82 ± 1.82% to 54.73 ± 1.96%, which correspond to disorders due to preeclampsia in pregnant women. There was also a disturbance of endothelial function, as evidenced by an increase in the coefficient of endothelial dysfunction (CED) by 2.9 times. The use of resveratrol leads to a pronounced correction in the changes that occur: a decrease in systolic and diastolic arterial pressure by 1.2 and 1.3 times, a decrease in proteinuria by a factor of 1.9 and a decrease in the fluid content in the large omentum to 50.00 ± 1.25%. The use of nicorandil leads to a pronounced correction in the resulting changes: a decrease in the diastolic blood pressure by 1.14 times, a decrease in proteinuria by a factor of 1.7 and a decrease in the fluid content in the large omentum to 50.57 ± 2.08%. CED decreased 1.7 times. When combining their use with amlodipine, the positive effects increased: systolic and diastolic blood pressure decreased 1.13 and 1.24 times and 1.14 and 1.23 times, respectively, proteinuria decreased 2.7 and 2.3 times, the fluid content in the large omentum was reduced to 44.54 ± 1.80% and 46.73 ± 1.30%. CED decreased 1.7 and 2.3 times. The administration of glibenclamide together with resveratrol and nicorandil removes a significant part of their positive effects.

Conclusion: Resveratrol and nicorandil have a significant positive effect in the correction of morphofunctional disorders in animals with ADMA-like preeclampsia. Activation of K+ATP channels plays a significant role in the realisation of their positive effects.
Le statut de ‘visiteuses de famille’ : mythes et réalités sur les épouses russes et vietnamiennes en Chine
Authors: Barabantseva Elena , Grillot Caroline , Le Roy Cyril
Published: April 2018

Depuis vingt ans, les mariages internationaux augmentent dans les grandes villes, zones rurales et régions frontalières chinoises. Cet article examine les représentations publiques et les expériences des migrantes pour mariage russes et vietnamiennes dans un contexte de pénurie démographique de femmes en Chine, pays où médias et réglementations en matière d’immigration incitent ces épouses à tenir un rôle traditionnel dans les foyers. Migrantes ou sans-papiers, leurs statuts mettent en évidence leurs responsabilités familiales et les excluent des droits légaux au travail ou à l’entreprenariat, les cantonnant à une position précaire de ‘visiteuse’ dans leur propre famille. Cet article montre également comment les réalités de la vie conjugale mixte en Chine interfèrent avec les projections individuelles de femmes qui négocient les statuts inattendus qu’elles ont dans la société chinoise.
Les cybermariages au Mexique et en Colombie : de l’érotique du nationalisme aux modulations d’une citoyenneté transnationale
Authors: Amaya Schaeffer Felicity , Sofio Séverine
Published: April 2018

Il existe plus de deux cents sites d’agences matrimoniales spécialisées dans les rencontres internationales entre hommes états-uniens et femmes latino-américaines. Sur ces sites, les femmes d’Amérique latine sont présentées comme naturellement plus féminines, plus belles, plus chaleureuses et plus attachées à l’idée de famille que les femmes aux États-Unis. Pourtant les Mexicaines de Guadalajara et les Colombiennes de Cali mettent en avant des arguments différents pour justifier leur choix d’épouser des Américains : cet article explore les raisons expliquant ces disparités de discours, en posant notamment la question de l’impact des dynamiques de classe sur les imaginaires nationaux de ces femmes.  1
Determinants of local population growth and economic development in France between 1990 and 2006
Authors: Abildtrup Jens , Hilal Mohamed , Piguet Virginie , Schmitt Bertrand
Published: April 2018

Cet article analyse les déterminants de la croissance locale de la population et de l’emploi sur des données françaises par bassins de vie pour les périodes 1990-2006, 1990-1999 et 1999-2006. Un système d’équations simultanées, reliant les évolutions locales de population et d’emploi est estimé. Les emplois sont ventilés entre le secteur productif et les services à la personne. Les résultats montrent que la population suit les emplois productifs et cet effet se renforce pour la deuxième période. Par ailleurs, alors que les emplois du secteur résidentiel suivent la population quelle que soit la période, les emplois du secteur productif suivent la population pour la première période mais le lien devient non significatif pour la suivante. S’il est difficile de savoir quel effet est dominant sur la période 1990-1999, tout porte à croire que l’effet « la population suit les emplois » du secteur productif devient dominant sur la période 1999-2006.
Une transition pour que rien ne change ? Changement institutionnel et dépendance au sentier dans les « transitions énergétiques » en Allemagne et en France
Authors: Aykut Stefan C. , Evrard Aurélien
Published: April 2018

L’article retrace l’émergence, les usages et la mise en politique de la notion de « transition énergétique » en France et en Allemagne. Il montre que la mobilisation de la notion s’inscrit dans des contextes de forte conflictualité, où les pouvoirs publics tentent de canaliser des crises qui risquent de leur échapper. La comparaison révèle deux formes distinctes de mise en politique : une « transition domestiquée » en Allemagne, qui correspond à la réappropriation, par les acteurs politiques et administratifs, d’un récit politique alternatif ; et une « transition orchestrée » en France, qui se manifeste par l’ouverture contrôlée et partielle de la « communauté de politique publique » dominante. Au-delà de ces différences, l’usage politique de la notion de transition apparaît comme profondément ambivalent, puisqu’il s’agit autant d’exprimer une volonté de changement que d’en assurer un contrôle qui circonscrit le périmètre et le contenu des transformations. L’article démontre ainsi que l’impératif de « transition énergétique », loin de constituer d’abord et surtout le fer de lance d’une transformation profonde du secteur énergétique, permet aussi de garantir une certaine stabilité, dans ce secteur et/ou dans des domaines connexes.
Labiates (Lamiaceae) of Chile
Authors: Morales Valverde Ramón
Published: April 2018

The Labiate are represented by 42 species in Chile. In general, they do not predominate in the plant formations in which they appear. About 700 sheets from the herbaria CONC, M, MA, and SGO, are studied. A key for genera is included, as well as, for each of them, another for species. For each species, its scientific name and basyonym, synonyms, original citations, iconography, common names, description, data on the habitat, flowering period, distribution in the insular regions and territories of Chile, and the transcription of the labels of the studied material are indicated. The 42 resulting species correspond to 18 genera. Four species previously cited for Chile have been discarded. In addition, the adventitious plants and all those that have been cultivated as ornamentals have been included. The new combination Lepechinia chilensis (Molina) R. Morales, comb. nov. is presented.
Effective Mechanisms for Accessing Technology and Innovation Strategies
Authors: Marques João P. C.
Published: April 2018

The present context of the knowledge-based economy and society has brought with it relevant changes with respect to how innovation has been conceptualized and explained within companies themselves. This chapter sets out to present and discuss a taxonomy of effective mechanisms for a company to accessing technology and innovation, while understanding the importance of resources and technological competences in defining how to innovate, in line with the type of company (profile) and the strategy of the business. An integrating view of the dimensions of “why,” “who,” and “how” to innovate is suggested, with the intention of helping companies to make choices. The case study shows the technological trajectory of an SME in the Portuguese software industry, based on development R&D alone and in partnership, following an offensive strategy. This will enable it to acquire advanced technological capabilities and an innovative culture for success.
The Economics and Econometrics of Global Innovation Index
Authors: Iqbal Badar Alam , Rahman Mohd Nayyer
Published: April 2018

Innovation is understood by different people differently and there is no reason to think otherwise until and unless innovation is objectified. Several measures have been developed to represent innovation in one or the other form. At times, due to dearth of data on innovation, proxies are used that may not represent innovation in its true sense. One of such measure, though unpopular but relevant, is global innovation index (GII). Indexes are used to quantify as well as measure the variability over a period of time in comparison to base values. As the approach of GII is new and promising, the present chapter will attempt to understand the economics of global innovation index for the available data. This will add to the understanding of innovation and may act as a strategy. On the other hand, econometrics as an emerging branch will also be used to identify certain simple hypothesis for the data of global innovation index. The chapter thus aims to delve deeper into the understanding of global innovation index.
Innovation in the Age of Digital Disruption
Authors: Cozmiuc Diana Claudia , Petrisor Ioan I.
Published: April 2018

Digital disruption is a worldwide phenomenon whereby digital technology brings new business models that disrupt existing markets. Business models have become key to digital disruption, as the universal language of innovation from invention. The latest business models shift from pipeline material flow to knowledge creation in platforms. Open innovation is part of platform business models. Business models are now financed directly, which has created the lean start-up movement. Start-ups enter markets with no barriers and force incumbents to race them with the ability to compete based on business models and match start-up agility and creativity. One of the world's top innovators, Siemens, a company where innovation is strategy, uses the latest tools for innovation: open innovation for technology invention, business models to turn invention into innovation, and finances business models. A large company, Siemens has created an inner structure that intends to bring the advantages of the lean start-up movement indoors.
The Importance of Logistics Dimension in Information Management
Authors: Anunciação Pedro Fernandes , Rosa Marina , de Costa Monique , Oliveira Vanessa
Published: April 2018

The evolution of management processes and the speed of the markets have highlighted the increasingly evident need for sharing of information and knowledge between the different economic agents. The competitiveness of economic organizations in a relational economic environment requires quality information. This feature is a critical success factor in the performance of economic activities. Organizations should seek to understand the internal and external dynamics inherent to the realization of their economic activities, identifying the various partners involved, and integrating their information systems, among others. The Volkswagen Autoeuropa is a reference to the management and economic organizations in which is evident the importance of information in the development of its activities with its partners and its centrality in the operation of the entire production chain. The objective of this study is to highlight the importance of logistics vision on the architecture of information systems, with reference to the case of Volkswagen Autoeuropa.
Knowledge Management in Biotechnology Drugs in Brazil as a Case Study of the National Pharmaceuticals Laboratories
Authors: Lima de Magalhães Jorge , do Carmo Marcus Vinicius Santos , Hartz Zulmira
Published: April 2018

The informational age in the twenty-first century is also known as the age of knowledge. The great differential of organizations has been the strategic innovation through the best way to manage the existing knowledge. The pharmaceutical area is one of the most intensive areas in research, development, and innovation. In this century, the discovery of new drugs and biotechnology drugs has revolutionized several treatments for human health. It is estimated that in 2017 the medical prescriptions of biotech drugs will exceed US $220 billion. It was identified that by the year 2019, several biotechnological patents will be expired in the world. New structures and strategic innovations in the scientific and technological environment of the Brazilian pharmaceutical area have occurred. There is a boom in investment opportunities in the industry through strategic innovation fostered by the updating of Brazilian legislation and investments by private companies. Knowledge management in biotechnological drugs has favored scientific, technological, and market growth in Brazilian organizations.
The Importance of Information in the Generation of Competitive Value
Authors: Fernandes da Anunciação Pedro , Martins Adérito , Bernardo Andreia , Costa Carla Lino , Duarte Miraldina
Published: April 2018

Companies assume information systems, particularly information and communication technologies, as strategic tools for the generation of competitive advantages. However, it is in the information, as the main economic resources in the information society, that should be concentrated management attention. Only information can provide the achievement of competitive advantages. It is important that management, in the various organizational domains, can ensure that the information architecture satisfies the different functional requirements corresponding to the different organizational areas. It is also important to ensure that the investments made in systems and technologies generate economic value to the organization.
Mentoring Dispositions for Pre-Service and Early Career Special Educators Through Service Learning
Authors: Chamblin Michelle , Cerruto Audra , Moroney Rickey , Mason Patricia
Published: April 2018

Service learning projects were created and implemented by faculty in the special education unit at Molloy College for pre-service and early career special education teachers. The service learning projects provided an opportunity for faculty to mentor participants in the area of dispositions for teaching through a shared experience outside of the higher education classroom. The projects were conducted in/or with community schools serving the K-12 population and students with disabilities in inclusive settings. It was hypothesized that service learning opportunities would serve as a platform for participants to reflect and to evaluate their dispositions as they act and interact in environments which were multidimensional. The results indicated that this was the case and that participants gained insights into their dispositions when the statements of dispositions were related to an experience. Faculty concluded that a variety of service learning projects provided varied opportunities for participants to exercise beliefs and bring clarity to the term “dispositions for teaching.”
Massive Open Online Courses (MOOCs), Features and Platforms
Authors: Kumar Abhishek , Brahmbhatt Shweta Nishad
Published: April 2018

This chapter aims to provide an up-to-date snapshot of the current state of application called MOOCs, which are one of the subset of e-Learning. MOOCs (Massive Open Online Courses) provide a new way of learning, which is open, participatory, distributed and lifelong. Various premier universities of the world are now offering courses in the form of MOOCs. The MHRD, Government of India has also started a MOOCs platform called SWAYAM. This chapter covers the definition of MOOCs, its features and different MOOC platforms being used for e-learning i.e. edX, Coursera, SWAYAM, Udacity.
Emerging E-Learning Technology (ELT) in Open Distance Learning (ODL)
Authors: Baskaran C.
Published: April 2018

Distance education is the most renowned descriptor used when referencing distance learning. It often describes the effort of providing access to learning for those who are geographically distant. During the last two decades, the relevant literature shows that various authors and researchers use inconsistent definitions of distance education and distance learning. As computers became involved in the delivery of education, a proposed definition identifies the delivery of instructional materials, using both print and electronic media.
Enhancing Learning and Professional Development Outcomes Through Augmented Reality
Authors: Torres Kelly M. , Statti Aubrey
Published: April 2018

Instructional and training approaches have evolved to become more inclusive of active learning activities that include diverse types of technologies such as augmented reality (AR). Although AR is not a novel concept, it has only recently gained more recognition as being an effective tool to use in formal learning contexts. Researchers who have focused on the use of AR in educational and organizational settings have found that it helps to enhance learners' levels of motivation and their attainment of content knowledge and critical thinking and problem-solving skills. AR tools are also considered to be beneficial since they provide users the opportunity to experience real-world events that they may not be able to experience due to cost constraints (e.g., travel) and lack of prior training (e.g., mechanical equipment).
Augmented Reality for Accident Analysis
Authors: Peña Samuel Olmos , Ruiz Gerardo Reyes , Hernández Marisol Hernández , Peña Maria Teresa Cuamatzi
Published: April 2018

Around the world a large number of undesirable events, commonly called accidents, occur every year. These events have implications such as injuries of all kinds, fatalities (in many cases tens, hundreds, and thousands), infrastructure losses, economic losses, and negative impacts on the environment. After a detailed analysis of most of these events and the reflection about them, two aspects are obvious: the first is that they all have multiple causal factors and the second is that most are avoidable. There are many reasons why they are not avoided, but the main reason is the inability of individuals and organizations to learn from mistakes.
Constraints in Authoring BIM Components
Authors: Benghi Claudio , Greenwood David
Published: April 2018

The authors investigated issues of geometric interoperability for reusable BIM components across multiple platforms using industry foundation classes (IFCs) which many proprietary BIM software platforms claim to fully support. These assertions were tested, first in 2012 and then in 2017 to assess the state and evolution of interoperability in the industry. A simple test model was created representing significant types of geometry encountered in component libraries, which were then expressed in IFC files. In the 2012 study, 11 commonly used BIM tools showed a dramatic failure to process the geometries as intended, indicating that the authoring tools, whilst technically capable of supporting required component geometric representations, were constrained from doing so by their conversion interfaces with IFC geometries. In the 2017 tests, improvements were observed though there were still significant processing failures that could result in serious errors; particularly in the case of the BIM library components imported into project design models.
GML-Based nD Data Management With a Big Geo Data Semantic World Modeling Approach
Authors: Rossmann Juergen , Hoppen Martin , Buecken Arno
Published: April 2018

3D simulation applications benefit from realistic and exact forest models. They range from training simulators like flight or harvester simulators to economic and ecological simulations for tree growth or succession. The nD forest simulation and information system integrates the necessary methods for data extraction, modeling, and management of highly realistic models. Using semantic world modeling, tree data can efficiently be extracted from remote sensing data – even for very large areas. Data is modeled using a GML-based modeling language and a flexible data management approach is integrated to provide caching, persistence, a central communication hub, and a versioning mechanism. Combining various simulation techniques and data versioning, the nD forest simulation and information system can provide applications with historic 3D data in multiple time dimensions (hence nD) as well as with predicted data based on simulations.
Expounding the Edge/Fog Computing Infrastructures for Data Science
Authors: Raj Pethuru , J. Pushpa
Published: April 2018

Data is the new fuel for any system to deliver smart and sophisticated services. Data is being touted as the strategic asset for any organization to plan ahead and provide next-generation capabilities with all the clarity and confidence. Whether data is internally sourced or aggregated from different and distributed source, it is essential for all kinds of data to be continuously and consciously collected, transmitted, cleansed, and hosted on storage systems. There are several types of analytical methods and machines to do deeper and decisive analytics on those curated and consolidated data to extract actionable insights in real-time. Precise and concise analytics guarantee perfect decision-making and action. We need competent and highly integrated analytics platform for speeding up, simplifying and streamlining data analytics, which is becoming a hard nut to crack due to the multi-structured and massive quantities of data. On the infrastructure front, we need highly optimized compute, storage and network infrastructure for achieving data analytics with ease. Another noteworthy point is that there are batch, real-time, and interactive processing of data. Most of the personal and professional applications need real-time insights in order to produce real-time applications. That is, real-time capture, processing, and decision-making are being insisted and hence the edge or fog computing concept has become very popular. This chapter is exclusively designed in order to tell all on how to accomplish real-time analytics on fog devices data.
Internet of Things and Smart City Initiatives in Middle Eastern Countries
Authors: Megdadi Khaled , Akkaya Murat , Sari Arif
Published: April 2018

This chapter presents a systematic review of prior research work that is closely aligned to the subject of interest related with internet of things (IoT) and smart city initiatives in Middle Eastern countries. Since internet of things technology (IoT) is the new revolution in the existing services provision environment due to increased contact with high-speed internet access, and the need to provide services more quickly and with minimal effort, costs and keeping pace with the development witnessed by the rest of the advanced countries of the world at a time connection is no longer limited by political borders of the states. This encompasses articles, unpublished papers and theses, conference papers, and memos. The chapter is an evaluation of previous research on the current research topic and serves as a space for research gap identification and hypotheses development in the field of IoT with smart city development initiatives.
Public Space and the Development of Wireless Media
Authors: Lambert Alex , McQuire Scott , Papastergiadis Nikos
Published: April 2018

This chapter builds on research into Australian free Wi-Fi initiatives conducted in late 2012 and early 2013. It tours through a range of global developments in wireless internet delivery, focusing on how these influence the character of public spatiality, participation, and social inclusion. While there have been numerous technical and commercial advances, the authors argue that free public services narrowly focus on constructing public spaces of consumption and spectacle, and valorising public activities through increasingly granular sensor surveillance. The authors offer an expanded conception of what it means to value public space and to participate socially, culturally, and politically in public. The chapter concludes with the concerning gap between small scale projects that experiment with these concepts and the large-scale institutions that ignore them.
The Role of Social Media in Public Involvement
Authors: Alizadeh Tooran , Farid Reza , Willems Laura
Published: April 2018

This chapter explores social media's potential to enhance public involvement to pursue sustainable practices on an international scale across planning and development projects. Using a case-study approach, the international institutions of the World Bank, UN-Habitat, Unilever, and World Business Council for Sustainable Development are investigated. The relationship between public versus the institutions' intake on sustainability is examined. Findings identify strong public push for increased sustainability in international development and show evidence of the ways in which international institutions respond to the public. Contributing to the social media research field, it offers an alternative application to the planning profession via e-planning. This could contribute to an extended form of public engagement through social media that goes beyond the limiting geographical borders of each local community, and assesses planning and development projects for their broader sustainability implications on an international platform.
QR Coded 3D Prints of Cuneiform Tablets
Authors: Kotoula Eleni , Akoglu Kiraz Goze , Frahm Eckart , Simon Stefan
Published: April 2018

This article discusses the design of a quick response (QR) coded 3D model of a Babylonian mathematical clay tablet for 3D printing purposes, in an attempt to make better use of advanced 3D visualizations, encourage public engagement and question the influence of tagging and 3D printing on the way humans interact with ancient documentary artefacts. The main emphasis of this article is the methodological challenge, taking under consideration both the technical constrains and object-oriented requirements, such as aesthetics and authenticity. The proposed methodology for the successful implementation of the project incorporates 3D modelling, 3D printing, Automatic Identification Data Capture (AIDC) technologies, and a new open source platform named Cultural Heritage Object (CHER-Ob), for data management, decision making and scientific collaboration.
An Optimal Data Placement Strategy for Improving System Performance of Massive Data Applications Using Graph Clustering
Authors: Vengadeswaran S. , Balasundaram S. R.
Published: April 2018

This article describes how the time taken to execute a query and return the results, increase exponentially as the data size increases, leading to more waiting times of the user. Hadoop with its distributed processing capability is considered as an efficient solution for processing such large data. Hadoop's Default Data Placement Strategy (HDDPS) allocates the data blocks randomly across the cluster of nodes without considering any of the execution parameters. This result in non-availability of the blocks required for execution in local machine so that the data has to be transferred across the network for execution, leading to data locality issue. Also, it is commonly observed that most of the data intensive applications show grouping semantics. Hence during query execution, only a part of the Big-Data set is utilized. Since such execution parameters and grouping behavior are not considered, the default placement does not perform well resulting in several lacunas such as decreased local map task execution, increased query execution time, query latency, etc. In order to overcome such issues, an Optimal Data Placement Strategy (ODPS) based on grouping semantics is proposed. Initially, user history log is dynamically analyzed for identifying access pattern which is depicted as a graph. Markov clustering, a Graph clustering algorithm is applied to identify groupings among the dataset. Then, an Optimal Data Placement Algorithm (ODPA) is proposed based on the statistical measures estimated from the clustered graph. This in turn re-organizes the default data layouts in HDFS to achieve improved performance for Big-Data sets in heterogeneous distributed environment. Our proposed strategy is tested in a 15 node cluster placed in a single rack topology. The result has proved to be more efficient for massive datasets, reducing query execution time by 26% and significantly improves the data locality by 38% compared to HDDPS.
Short Term Price Forecasting Using Adaptive Generalized Neuron Model
Authors: Singh Nitin , Mohanty S. R.
Published: April 2018

This article described how in the competitive deregulated electricity market forecasting has become one of the essential planning tool that assists the planners in preparing the power systems for future demands. The commercial success of the market players depends on their competitive bidding strategy which is suffuicient enough to meet the regulatory requirements and minimize the cost. Artificial neural networks due to their capability of non-linear mapping finds extensive application in the field of price forecasting. Although, they are extensively used as forecasting model, they have certain limitations which are detrimental to system performance. The training time of the artificial neural network is affected by the complexity of the system, and moreover, they require a large amount of data for complex problems. The worl presented in this article deals with the application of the generalized neuron model for forecasting the electricity price. The generalized neuron model overcomes the limitation of the conventional ANN. The electricity price of the New South Wales electricity market is forecast to test the performance of the proposed model. The free parameters of the proposed model are trained using fuzzy tuned genetic algorithms to increase efficacy of the model.
Feasibility Study of Few Mode Fibers as a Sensor
Authors: Chandana S  , Amulya K L  , Bhavana A M  , Chaithra B  , Chaitra S
Published: April 2018

This article describes how few mode fiber (FMF) has found its applications in optical communication systems. We report a novel concept of sensing physiological parameters using FMF, which utilizes Space Division Multiplexing technology (SDM) where SDM supports multiple modes/ paths of fixed bandwidth channels which increases the data carrying capacity in an optical fiber. Here we have considered two linearly polarized (LP) modes namely LP01 and LP11. A segment of FMF is used as sensing element, where it is spliced between two segments of single mode fiber (SMF). The intermodal interference between LP01 mode and LP11 mode of FMF provides an interference spectrum which is sensitive to change in physiological parameters applied on FMF. Hence any change in physiological parameter results to shift in wavelength in interference spectrum which makes FMF as a sensor
Qualitative Characteristics of Financial Reporting and Non-Financial Business Performance
Authors: Al-dmour Ahmed , Abbod Maysem F , Al-dmour Hani H
Published: April 2018

The purpose of this article is to examine empirically, validate, and predict the reliability of the proposed relationship between the qualitative characteristics of financial reporting and non-financial business performance via the moderating role of the organizational demographic characteristics (type, size and experience). The article is based on primary data collected through a structured questionnaire from 239 out 328 of shareholdings companies in Jordan, and the single key respondents approach was employed. The quality of financial reporting was conceptualized by the IASB's framework fundamental qualitative characteristics (2008). The data were analyzed using structural equation modelling. The results showed that the magnitude and significance of the loading estimate indicate that the qualitative characteristics of financial reporting (i.e., relevance, understandability, faithful representation, comparability and timeliness) are significantly influence the non-financial business performance and the variation of relationship could be due to the demographic characteristics of the organizations (type, size, and experience). The article has important implications for accounting managers, auditors and financial practitioners and top managers in the surveyed companies and in similar organizations. The authors believe that the decision-makers of business organizations could benefit from this study's findings with a better understanding of the importance of the qualitative characteristics of financial reporting as well as their relationship with non-financial business performance.
On Experience of Social Networks Exploration for Comparative Analysis of Narratives of Foreign Members of Armed Groups
Authors: Kostyuchenko Yuriy , Yuschenko Maxim , Artemenko Igor
Published: April 2018

This article contains a comparison of narratives of foreign members of armed groups of The Islamic State of Iraq; the Levant; the Lugansk and Donetsk People's Republics in Syria and Ukraine. This data was collected in 2015-2016 using social networks and telecommunications which are presented in the article. The probabilistic and stochastic methods of analysis and classification of data from social networks were used for the identification of active members of illegal armed groups, and for analysis its number, composition and dynamics in active conflict areas. Some structural, figurative and lexical features of 83 stories are discussed. Key similarities, anomalies and differences are determined. Ways of information dissemination using social networks and traditional media are described. Role of narratives is shown. Conclusions are proposed.
Punching Above Their Digital Weight
Authors: Martins Ralph Peter
Published: April 2018

This article describes how in recent years, Iran has joined the top ranks of the world powers in cyberspace and has demonstrated the ability to leverage cyberwarfare as a significant tool in its arsenal for pursuing its national security goals. While this increase in cyber power is relatively recent, some of the incidents and events that serve as the catalyst for the sudden digital surge go back decades. The reasons for these increased capabilities revolve around historic means of power projection, defense and preservation of the principles of the Iranian Revolution, response to Western aggression and Iranian nationalism. This article explores these ideological drivers and events to provide context for their trajectory and analysis of their likely implications.
Framework for Military Applications of Social Media
Authors: Veerasamy Namosha , Labuschagne William Aubrey
Published: April 2018

This article describes how social media has revolutionised the way in which people communicate, interact and engage. This phenomenon has transformed the digital world with its ease, convenience and numerous capabilities for sharing, involving and participating in exchanges. The military is now being confronted with how this platform can be used to aid its activities. When utilised correctly, social media could become a force multiplier for the military. Day-to-day functions, official communications, networking and training are just some of the capabilities that can be supported by social media. However, clear guidance, management and governance are required in order to ensure that the platform is implemented correctly. This article discusses the drive for the use of social media within the military and how it can be utilised for military activities. It addresses the high-level functionalities of social media within the military, as well as an overall approach to guide the process.
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)
Authors: Vinayakumar R , Soman K.P. , Poornachandran Prabaharan
Published: April 2018

This article describes how sequential data modeling is a relevant task in Cybersecurity. Sequences are attributed temporal characteristics either explicitly or implicitly. Recurrent neural networks (RNNs) are a subset of artificial neural networks (ANNs) which have appeared as a powerful, principle approach to learn dynamic temporal behaviors in an arbitrary length of large-scale sequence data. Furthermore, stacked recurrent neural networks (S-RNNs) have the potential to learn complex temporal behaviors quickly, including sparse representations. To leverage this, the authors model network traffic as a time series, particularly transmission control protocol / internet protocol (TCP/IP) packets in a predefined time range with a supervised learning method, using millions of known good and bad network connections. To find out the best architecture, the authors complete a comprehensive review of various RNN architectures with its network parameters and network structures. Ideally, as a test bed, they use the existing benchmark Defense Advanced Research Projects Agency / Knowledge Discovery and Data Mining (DARPA) / (KDD) Cup ‘99' intrusion detection (ID) contest data set to show the efficacy of these various RNN architectures. All the experiments of deep learning architectures are run up to 1000 epochs with a learning rate in the range [0.01-0.5] on a GPU-enabled TensorFlow and experiments of traditional machine learning algorithms are done using Scikit-learn. Experiments of families of RNN architecture achieved a low false positive rate in comparison to the traditional machine learning classifiers. The primary reason is that RNN architectures are able to store information for long-term dependencies over time-lags and to adjust with successive connection sequence information. In addition, the effectiveness of RNN architectures are shown for the UNSW-NB15 data set.
Patient satisfaction on post operative instructions given by hospital staff on discharge
Authors: Tennekoon D. , McPartlin D. , Philips A. Beynon , Tadikonda R. , Arotiowa M.
Published: April 2018

No abstract available
Papillary thyroid carcinoma mimicking parathyroid adenoma “a wolf in sheep’s clothing”
Authors: Roshni K. , Haritosh K. V. , Merin S. M. , Yogesh G. D. , Akanksha A. S.
Published: April 2018

No abstract available
Biofeedback efficacy to improve clinical symptoms and endoscopic signs of solitary rectal ulcer syndrome
Authors: Forootan Mojgan , Shekarchizadeh Masood , Farmanara Hamedreza , Shekarchizadeh Esfahani Ahmad Reza , Shekarchizadeh Esfahani Mansooreh
Published: April 2018

Solitary rectal ulcer syndrome (SRUS) is often resistant to medical and surgical treatment. This study assessed the effect of biofeedback in decreasing the symptoms and the healing of endoscopic signs in SRUS patients. Before starting the treatment, endoscopy and colorectal manometry was performed to evaluate dyssynergic defecation. Patients were followed every four weeks, and during each visit their response to treatment was evaluated regarding to manometry pattern. After at least 50% improvement in manometry parameters, recipients underwent rectosigmoidoscopy. Endoscopic response to biofeedback treatment and clinical symptoms were investigated. Duration of symptoms was 43.11±36.42 months in responder and 63.9±45.74 months in non-responder group (P=0.22). There were more ulcers in non-responder group than responder group (1.50±0.71 versus 1.33±-0.71 before and 1.30 ± 0.95 versus 0.67±0.50 after biofeedback), although the difference was not significant (P=0.604, 0.10 respectively). The most prevalent symptoms were constipation (79%), rectal bleeding (68%) and anorectal pain (53%). The most notable improvement in symptoms after biofeedback occured in abdominal pain and incomplete evacuation, and the least was seen in mucosal discharge and toilet waiting as shown in the bar chart. Endoscopic cure was observed in 4 of 10 patients of the non-responder group while 8 patients in responder group experienced endoscopic improvement. It seems that biofeedback has significant effect for pathophysiologic symptoms such as incomplete evacuation and obstructive defecation. Improvement of clinical symptoms does not mean endoscopic cure; so to demonstrate remission the patients have to go under rectosigmoidoscopy.
A new commentary in the vernacular
Authors: Wielenga Bob
Published: April 2018

No abstract available.