bluuebunny/crossref_metadata_2025 huggingface dataset:
First Data Release of the All-sky NOAO Source Catalog
Authors: Nidever David L. , Dey Arjun , Olsen Knut , Ridgway Stephen , Nikutta Robert , Juneau Stephanie , Fitzpatrick Michael , Scott Adam , Valdes Francisco
Published: August 2018

Most of the sky has been imaged with NOAO’s telescopes from both hemispheres. While the large majority of these data were obtained for PI-led projects and almost all of the images are publicly available, only a small fraction have been released to the community via well-calibrated and easily accessible catalogs. We are remedying this by creating a catalog of sources from most of the public data taken on the CTIO-4 m+DECam and the KPNO-4 m+Mosaic3. This catalog, called the NOAO Source Catalog (NSC), contains over 2.9 billion unique objects, 34 billion individual source measurements, covers ≈30000 square degrees of the sky, has depths of ≈23rd magnitude in most broadband filters with ≈1%–2% photometric precision, and astrometric accuracy of ≈7 mas. In addition, ≈2 billion objects and ≈21000 square degrees of sky have photometry in three or more bands. The NSC will be useful for exploring stellar streams, dwarf satellite galaxies, QSOs, high-proper motion stars, variable stars, and other transients. The NSC catalog is publicly available via the NOAO Data Lab service.
A-type Stars, the Destroyers of Worlds: The Lives and Deaths of Jupiters in Evolving Stellar Binaries
Authors: Stephan Alexander P. , Naoz Smadar , Gaudi B. Scott
Published: August 2018

Hot Jupiters (HJs), gas giant planets orbiting their host stars with periods on the order of days, commonly occur in the Galaxy, including relatively massive (1.6–2.4 M
⊙, i.e., A-type main-sequence stars) and evolved stars. The majority of A-type main-sequence stars have stellar binary companions, that can strongly affect the dynamical evolution of planets around either star. In this work, we investigate the effects of gravitational perturbations by a far away stellar companion on the orbital evolution of gas giant planets orbiting A-type stars, the so-called Eccentric Kozai–Lidov mechanism, including the effects of general relativity, post-main-sequence stellar evolution, and tides. We find that only 0.15% of A-type stars will host HJs during their main-sequence lifetimes. However, we also find a new class of planets, Temporary Hot Jupiters (THJs), that form during the post-main-sequence lifetime of about 3.7% of former A-type main-sequence stars. These THJs orbit on periods of tens to a hundred days and only exist for a few 100,000 years before they are engulfed, but they reach similar temperatures as “classical” HJs due to the increased stellar luminosities. THJs’ spin–orbit angles will mostly be misaligned. THJ effects on the host stars’ evolution could also be observable for longer than a few 100,000 years. Overall, we find that approximately 70% of all gas giant planets orbiting A-type stars will eventually be destroyed or engulfed by their star, about 25% during the main-sequence lifetime, about 45% during post-main-sequence evolution.
SU Lyn: Diagnosing the Boundary Layer with UV and Hard X-Ray Data
Authors: Lopes de Oliveira R. , Sokoloski J. L. , Luna G. J. M. , Mukai K. , Nelson T.
Published: August 2018

Symbiotic stars in which the symbiotic phenomenon is powered solely by accretion, often at an average rate that is higher than in cataclysmic variable stars, provide an important opportunity to diagnose boundary layers around disk-accreting white dwarfs. Here, we investigate SU Lyncis (SU Lyn), a recently discovered example of a purely accretion-powered symbiotic star, using the first reliable X-ray spectroscopy, obtained with NuSTAR, and ultraviolet (UV) photometry obtained with Swift. SU Lyn has hard, thermal, X-ray emission that is strongly affected by a variable local absorber that has little impact on the UV emission. Its X-ray spectrum is described well using a plasma cooling from kT ≈ 21 keV, with a 3–30 keV luminosity of approximately 4.9 × 1032 erg s−1. The spectrum is also consistent with the presence of reflection with an amplitude of 1.0, although in that case, the best-fit plasma temperature is 20%–25% lower. The UV to X-ray luminosity ratio of SU Lyn changed significantly between 2015 and 2016. We interpret this as a consequence of a drop by almost 90% in the accretion rate. Whereas the UV luminosity of the disk responded linearly, the luminosity of the optically thin (hard X-ray) emission from the boundary layer remained roughly constant because the boundary layer changed from partially optically thick to almost completely optically thin. Under this interpretation, we place a lower limit on the white dwarf mass of 0.7 M
⊙ (0.8 M
⊙ if we neglect reflection).
Observations of the Kelvin–Helmholtz Instability Driven by Dynamic Motions in a Solar Prominence
Authors: Hillier Andrew , Polito Vanessa
Published: August 2018

Prominences are incredibly dynamic across the whole range of their observable spatial scales, with observations revealing gravity-driven fluid instabilities, waves, and turbulence. With all of these complex motions, it would be expected that instabilities driven by shear in the internal fluid motions would develop. However, evidence of these have been lacking. Here we present the discovery in a prominence, using observations from the Interface Region Imaging Spectrograph, of a shear flow instability, the Kelvin–Helmholtz sinusoidal-mode of a fluid channel, driven by flows in the prominence body. This finding presents a new mechanism through which we can create turbulent motions from the flows observed in quiescent prominences. The observation of this instability in a prominence highlights their great value as a laboratory for understanding the complex interplay between magnetic fields and fluid flows that play a crucial role in a vast range of astrophysical systems.
On the Spatial Coherence of Magnetic Ejecta: Measurements of Coronal Mass Ejections by Multiple Spacecraft Longitudinally Separated by 0.01 au
Authors: Lugaz Noé , Farrugia Charles J. , Winslow Reka M. , Al-Haddad Nada , Galvin Antoinette B. , Nieves-Chinchilla Teresa , Lee Christina O. , Janvier Miho
Published: August 2018

Measurements of coronal mass ejections (CMEs) by multiple spacecraft at small radial separations but larger longitudinal separations is one of the ways to learn about the three-dimensional structure of CMEs. Here, we take advantage of the orbit of the Wind spacecraft that ventured to distances of up to 0.012 au from the Sun–Earth line during 2000–2002. Combined with measurements from the Advanced Composition Experiment, which is in a tight halo orbit around L1, the multipoint measurements allow us to investigate how the magnetic field inside magnetic ejecta (MEs) changes on scales of 0.005–0.012 au. We identify 21 CMEs measured by these two spacecraft for longitudinal separations of 0.007 au or more. We find that the time-shifted correlation between 30 minute averages of the non-radial magnetic field components measured at the two spacecraft is systematically above 0.97 when the separation is 0.008 au or less, but is on average 0.89 for greater separations. Overall, these newly analyzed measurements, combined with 14 additional ones when the spacecraft separation is smaller, point toward a scale length of longitudinal magnetic coherence inside MEs of 0.25–0.35 au for the magnitude of the magnetic field, but 0.06–0.12 au for the magnetic field components. This finding raises questions about the very nature of MEs. It also highlights the need for additional “mesoscale” multipoint measurements of CMEs with longitudinal separations of 0.01–0.2 au.
In Search of Recent Disruption of (3200) Phaethon: Model Implication and Hubble Space Telescope Search
Authors: Ye 叶泉 Quanzhi 志 , Wiegert Paul A. , Hui 许文 Man-To 韬
Published: August 2018

Near-Earth asteroid (3200) Phaethon is notable for its association with a strong annual meteor shower, the Geminids, indicative of one or more episodes of mass ejection in the past. The mechanism of Phaethon’s past activity is not yet understood. Here, we present a Hubble Space Telescope (HST) search of meter-sized fragments in the vicinity of Phaethon, carried out during Phaethon’s historic approach to Earth in mid-December of 2017. Numerical simulations conducted to guide HST’s pointing also show that the dynamical evolution of Phaethon-originated particles is quick, as ejected materials take no longer than ∼250 years to spread to the entire orbit of Phaethon. Our search was completed down to a 4 m class limit (assuming Phaethon-like albedo) and was expected to detect 0.035% of particles ejected by Phaethon in the past several decades. The negative result of our search capped the total mass loss of Phaethon over the past few dozen orbits to be 1012 kg at the 3σ level, taking the best estimates of size power-law from meteor observations and spacecraft data. Our result also implies a millimeter-sized dust flux of

within 0.1 au of Phaethon, suggesting that any Phaethon-bound mission is unlikely to encounter dense dust clouds.
Delayed Stellar Mass Assembly in the Low Surface Brightness Dwarf Galaxy KDG 215∗
Authors: Cannon John M. , Shen Zili , McQuinn Kristen B. W. , Bartz Joshua , Bralts-Kelly Lilly , Bulatek Alyssa M. , Chinski Sarah , Ford Robert N. , Gordon Alex J. R. , Helmel Greta , Hollenbach Sam , McGlasson Riley A. , Mizener Andrew , Page Tylyn , Retza William , Rusch Moritz , Taft Sarah , Dolphin Andrew E. , Karachentsev Igor , Salzer John J.
Published: August 2018

We present H i spectral line and optical broadband images of the nearby low surface brightness dwarf galaxy KDG 215. The H i images, acquired with the Karl G. Jansky Very Large Array, reveal a dispersion-dominated interstellar medium with only weak signatures of coherent rotation. The H i gas reaches a peak mass surface density of 6 M
⊙ pc−2 at the location of the peak surface brightness in the optical and the ultraviolet. Although KDG 215 is gas-rich, the Hα non-detection implies a very low current massive star formation rate. In order to investigate the recent evolution of this system, we have derived the recent and lifetime star formation histories from archival Hubble Space Telescope images. The recent star formation history shows a peak star formation rate ∼1 Gyr ago, followed by a decreasing star formation rate to the present day quiescent state. The cumulative star formation history indicates that a significant fraction of the stellar mass assembly in KDG 215 has occurred within the last 1.25 Gyr. KDG 215 is one of only a few known galaxies that demonstrates such a delayed star formation history. While the ancient stellar population (predominantly red giants) is prominent, the look-back time by which 50% of the mass of all stars ever formed had been created is among the youngest of any known galaxy.
Synchrotron Radiation from Electrons with a Pitch-angle Distribution
Authors: Yang Yuan-Pei , Zhang Bing
Published: August 2018

In most astrophysical processes involving synchrotron radiation, the pitch-angle distribution of the electrons is assumed to be isotropic. However, if electrons are accelerated anisotropically, e.g., in a relativistic shock wave with an ordered magnetic field or in magnetic reconnection regions, the electron pitch angles might be anisotropic. In this Letter, we study synchrotron radiation from electrons with a pitch-angle distribution with respect to a large-scale uniform magnetic field. Assuming that the pitch-angle distribution is normal with a scatter of σ

p
and that the viewing direction is where the pitch-angle direction peaks, we find that for electrons with a Lorentz factor γ, the observed flux satisfies F

ν
 ∝ ν
2/3 for ν ≪ ν
cr (ν
cr is the critical frequency of synchrotron), if σ

p
 ≲ 1/γ is satisfied. On the other hand, if σ

p
 ≫ 1/γ, the spectrum below ν
cr is a broken power law with a break frequency

, e.g.,

for ν ≪ ν
br and

for

. Thus, the ultimate synchrotron line of death is F

ν
 ∝ ν
2/3. We discuss the application of this theory to blazars and gamma-ray bursts.
Total evidence phylogeny of Pontederiaceae (Commelinales) sheds light on the necessity of its recircumscription and synopsis of Pontederia L.
Authors: Pellegrini Marco O. O. , Horn Charles N. , Almeida Rafael F.
Published: August 2018

A total evidence phylogeny for Pontederiaceae is herein presented based on new morphological and previously published molecular data. Our results led us to re-circumscribePontederiato includeMonochoria,Pontederias.s.and the polyphyleticEichhornia. We provide the needed ten new combinations and 16 typifications, arrange a total of 25 accepted species (six representing re-established names) in 5 new subgenera. Furthermore, we provide an identification key for the two genera accepted by us in Pontederiaceae, an identification key to the subgenera, identification keys to the species of each subgenus and commentaries onPontederias.l., as well as for each subgenus and each species.
Using current systems to inform rearing facility design in the insect-as-food industry
Authors: Berggren Å. , Jansson A. , Low M.
Published: August 2018

As wild harvesting of insects gives way to mass rearing, there is an urgent need to develop expertise and methods in insect animal husbandry and facility design. In order to advance the science of animal husbandry and production in this field, comparisons and contrasts of different insect rearing facilities currently in production are likely to be beneficial. Here we initiate this discussion by suggesting a focus on insect rearing facilities at the two ends of the production scale spectrum (small-scale rearing and mass rearing) that have different end products (insects-as-food and insects for other purposes). We suggest that organisations with a philosophy of information sharing (e.g. universities) need to play an active role in this developing production system, by bridging gaps between academia, industry and traditional knowledge to ensure a rapid and societally acceptable development of wide-scale entomophagy.
Insects in European feed and food chains
Authors: Veldkamp T. , Eilenberg J.
Published: August 2018

Insects or insect products are valuable feedstuffs for animal feeds but for further implementation more research is required. Different symposia contribute to sharing the obtained knowledge and in this special issue the activities of the EAAP study commission Insects are highlighted as well as five papers presented during the 2017 annual EAAP meeting in Tallinn, Estonia and one paper presented during the ‘Insectinov2 2017’ meeting in France. The papers highlight different aspects of the insect chain such as sustainability, insect health, bacterial contamination, nutritional value of insect meal and regulatory system.
HoloLens, Augmented Reality and Teamwork: Merging Virtual and Real Workplaces
Authors: Salvetti Fernando , Bertagni Barbara , Ingrassia Pierluigi , Pratticò Gabriele
Published: August 2018

Two projects are introduced: a cooperative game aimed at fostering behavioral, cognitive and meta-cognitive skills within organizations (Holo-Transportation), and a technical procedure aimed at saving lives (Holo-Defibrillation). e-REAL was the educational setting: an environment where physical and digital objects co-exist and interact in real time.Both the two projects were self-instruction learning simulation programs developed to maximize learning results, reducing instructor intervention and cost. Cascading and growing technical know-how about defibrillation was the main target of Holo-Defibrillation, while Holo-Transportation was aimed at empowering teamwork by fostering cognitive flexibility, emotional intelligence and self-awareness, as well as at honing the epistemic acumen related to reviewing ongoing processes and procedures, errors and alternative options.
Corporate Insolvency Law in South Asia
Authors: Bansal Sikha
Published: August 2018

The chapter, while making a background study of the principles underlying corporate insolvency laws and corporate insolvency laws prevalent in non-Asian economies (i.e., United States, United Kingdom, Australia, and South Africa), tracks the history of corporate insolvency law in select South-Asian and South-East Asian countries (i.e., Bangladesh, Bhutan, India, Malaysia, Nepal, Pakistan, Sri Lanka, and Thailand). The chapter seeks to acquaint the readers with the efforts which led to the various reforms in these jurisdictions.
The New Law of Corporate Restructuring in Malaysia
Authors: Bidin Aishah , Hussin Nordin
Published: August 2018

The passing of the Malaysian Companies Bill 2015, which replaced the Companies Act 1965, marks the most comprehensive legislative change in Malaysia's corporate law in 50 years. The Companies Act 2016 makes some significant changes to Malaysia's corporate insolvency regime, as it introduces two new insolvency processes: judicial management and corporate voluntary administration. It also modifies the existing law relating to schemes of arrangement. The objective of this chapter is to study and evaluate the legislative position in United Kingdom, Australia, and Malaysia with regard to the scheme of creditors' arrangement. The introduction of the judicial management mechanisms is a move towards bringing Malaysia's insolvency laws up to the same international standards as many other countries in the region. It also discusses on the strength and limitation of the mechanism as opposed to the concept of judicial management.
Corporate Insolvency Laws in Singapore
Authors: Kashyap Amit Kumar , Parihar Karan
Published: August 2018

Corporate rescue mechanism in Singapore is based on colonial structure, wherein the companies in distress can go for informal workouts or judicial management and schemes of arrangement under Companies Act. Singapore has just amended the Company Act and incorporated the provisions relating to insolvency and bankruptcy. The chapter reviews the use of schemes of arrangement and judicial management in Singapore as a corporate rescue mechanism and address the reform legislation of 2017 for corporate insolvency.
Language and Visual Communication
Authors: Yang Ping
Published: August 2018

This chapter examines how multimodality works language and visual cues together to achieve effective intercultural marketing communication. Language symbols are used as a primary means of communication in TV and radio. Commercial advertisers never forget to use visual communication to persuade consumers. Customers usually use the combined resources such as language (e.g., spoken and written) and visual cues (e.g., colours and signs) to interpret meanings. A qualitative approach is used in this project. Data including written texts and visual images are collected from many sources and critically analyzed with reference to relevant theories. It is concluded that both language communication and visual communication play their role in advertising and their combined communication power is greater. The research outcomes will help business operators and managers understand how culturally appropriate language and visual communication can promote the advertised services and sell their products, thus achieving business success and customer satisfaction.
Marketing Semiotics in the Digital Age
Authors: Özbölük Tuğba , Kurtoğlu Ramazan
Published: August 2018

The nature of communication has begun to change dramatically, as face-to-face communication has gradually been replaced by online communication. People's need to express their emotions and thoughts more visually than ever before has triggered an evolution in communication, from verbal to visual. In this sense, the importance of symbols and icons in communication is continuously increasing. Furthermore, this change can be closely related to the marketing discipline. Therefore, this chapter focuses on semiotics as the field of research that studies symbols as an essential part of marketing communication in the digital age.
The Effect of Sociolinguism on Advertising Slogans
Authors: Alcántara-Pilar Juan Miguel , Sánchez-Duarte Ivan Manuel , Rodríguez-López Mª Eugenia , Rojas-Lamorena Álvaro J.
Published: August 2018

The present research intends to check if foreign languages, as cultural conveyors, moderate the characteristics associated with advertising slogans. To understand better how the use of foreign languages can improve the persuasive capacity of ads, three research questions have been established: (1) with what sector of production is the use of foreign languages associated; (2) which characteristics are associated with the foreign language used in advertisements; and (3) what is the relationship between the foreign language used and the image of the firm. In order to answer these questions, the authors have designed an audio slogan translated into three languages: Italian, Turkish, and Russian. The total sample exposed to the slogan is composed of 184 subjects. The conclusions have shown that those firms that seek to communicate a symbolic meaning should select a language that conveys the desired cultural values, thus improving the persuasion already derived from the country of origin.
Figures of Speech in the Translation of Audiovisual Advertisements
Authors: Horbačauskienė Jolita , Kasperavičienė Ramunė
Published: August 2018

Effective translation of figures of speech in persuasive texts is crucial but complicated. Different cultural worldviews may sometimes cause misunderstandings due to vagueness in language, which otherwise may be comprehended through context or contextual associations. This study will address the following research questions: which figures of speech are the most common in advertising discourse; which translation techniques and procedures are used to render the various figures of speech in small and large sized target countries; is there a relation between country size, as measured by population, and the adaptation level of international marketing campaigns to the intended audience. The authors of the study hypothesise that international advertising campaigns are adapted through translation to a lesser degree in small sized target countries and vice versa, in large sized countries. The findings of the current study show that most probably there are other factors affecting the choice of translation techniques in audiovisual advertisements.
From Courtship to Marriage in Marketing
Authors: Ciolăneanu Roxana
Published: August 2018

The main objective of this chapter is to look at the concept of marketing from an integrative perspective, arguing for the complexity of the marketing philosophy and practices from linguistic, psychological and social points of view. Revisiting the concept of metaphor as a cognitive instrument will provide new insights into how it is employed and functions in marketing. Looking at the society's evolution and the importance it gives to the individual will contribute to understanding the changes in the way marketing is conceptualized and will help the author formulate some cognitive and linguistic consequences of these changes.
Motion Planning of Non-Holonomic Wheeled Robots Using Modified Bat Algorithm
Authors: Roy Abhishek Ghosh , Rakshit Pratyusha
Published: August 2018

The chapter proposes a novel optimization framework to solve the motion planning problem of non-holonomic wheeled mobile robots using swarm algorithms. The specific robotic system considered is a vehicle with approximate kinematics of a car. The configuration of this robot is represented by position and orientation of its main body in the plane and by angles of the steering wheels. Two control inputs are available for motion control including the velocity and the steering angle command. Moreover, the car-like robot is one of the simplest non-holonomic vehicles that displays the general characteristics and constrained maneuverability of systems with non-holonomicity. The control methods proposed in this chapter do not require precise mathematical modeling of every aspect a car-like system. The swarm algorithm-based motion planner determines the optimal trajectory of multiple car-like non-holonomic robots in a given arena avoiding collision with obstacles and teammates. The motion planning task has been taken care of by an adaptive bio-inspired strategy commonly known as Bat Algorithm.
Application of Nature-Inspired Algorithms for Sensing Error Optimisation in Dynamic Environment
Authors: Mukhopadhyay Sumitra , Das Soumyadip
Published: August 2018

Spectrum sensing errors in cognitive radio may occur due to constant changes in the environment like changes in background noise, movements of the users, temperature variations, etc. It leads to under usage of available spectrum bands or may cause interference to the primary user transmission. So, sensing parameters like detection threshold are required to adapt dynamically to the changing environment to minimise sensing errors. Correct sensing requires processing huge data sets just like Big Data. This chapter investigates sensing in light of Big Data and presents the study of the nature inspired algorithms in sensing error minimisation by dynamic adaptation of the threshold value. Death penalty constrained handing techniques are integrated to the genetic algorithm, particle swarm optimisation, the firefly algorithm and the bat algorithm. Based on them, four algorithms are developed for minimizing sensing errors. The reported algorithms are found to be faster and more accurate when compared with previously proposed threshold adaptation algorithms based on a gradient descend.
PSO-Based Antenna Pattern Synthesis
Authors: Biswas Rathindra Nath , Saha Anurup , Mitra Swarup Kumar , Naskar Mrinal Kanti
Published: August 2018

An antenna pattern synthesis scheme based on particle swarm optimization (PSO) technique is proposed. Synthesized patterns always contain narrower beamwidth and minimum side-lobes level reducing coverage areas towards the attackers in wireless networks. On such patterns, deep nulls are also steered at various interfering directions as to provide a second layer of protection. Using selective patterns at each point-to-point link, data privacy is ensured throughout entire route from source to sink. This approach is simple enough to be commensurate with flexible design methods on a real-time platform. Thus, an FSM (finite state machine) rule-based digital system model is further developed and tested on Xilinx Virtex4 FPGA (field programmable gate array) board. Its performance under harsh radio environmental conditions is also verified with several fixed-point simulations in terms of pattern synthesis accuracy and computational overheads. These results corroborate such system integration onto wireless infrastructures for the secured data communication services.
Analysis of Multiplex Social Networks Using Nature-Inspired Algorithms
Authors: Mittal Ruchi , Bhatia M. P. S.
Published: August 2018

Many real-life social networks are having multiple types of interaction among entities; thus, this organization in networks builds a new scenario called multiplex networks. Community detection, centrality measurements are the trendy area of research in multiplex networks. Community detection means identifying the highly connected groups of nodes in the network. Centrality measures indicate evaluating the importance of a node in a given network. Here, the authors propose their methodologies to compute the eigenvector centrality of nodes to find out the most influential nodes in the network and present their study on finding communities from multiplex networks. They combine a few popular nature-inspired algorithms with multiplex social networks to do the above tasks. The authors' experiments provide a deep insight into the various properties of the multiplex network. They compare the proposed methodologies with several alternative methods and get encouraging and comparable results.
Adoption and Use of YouTube to Enhance Teaching and Learning of Research Methodology at the Postgraduate Level in Nigeria Universities
Authors: Omiunu Ojinga G. , Longe Folake Adunni , Igwe Ebelechukwu G.
Published: August 2018

The chapter investigates the adoption and use of YouTube to enhance teaching and learning of research methodology in Nigeria universities. Using a correlational survey research design, the study adapts the theory of reasoned action to present an ICT-literacy model to enhance the use of YouTube in the teaching and learning of research methodology in the university system. The questionnaire was used to obtain information from the respondents and was subjected to validation, and data obtained were analyzed quantitatively using the frequency and percentage; and the regression analysis at 0.05 level of significance was used to test the hypotheses of the study. The result of the study shows that the level of knowledge of, ICT literacy, subjective norms, and the cognitive ability in the use of YouTube was low. The level of knowledge, subjective norms, and ICT literacy were good predictors of use of YouTube in teaching and learning of research methodology.
The Practice of Transmedia Storytelling Edutainment in Media-Rich Learning Environments
Authors: Kalogeras Stavroula
Published: August 2018

Transmedia (cross-media/cross-platform/multi-platform) storytelling edutainment involves the use of narratives as a critical-creative approach to learning. The storytelling framework is a viable solution to engage a universal audience in both seated and online environments. The inherent interactivity of the internet and interaction with story is a method that can reach learners with both focused and short attention spans in media-rich environments. An e-module case study and slide presentation is offered to demonstrate narrative practice.
Ever Green Generation at the Dawn of the 21st Century
Authors: Kuboja Joshua Michael
Published: August 2018

Technology in education is somehow misconceived by many scholars who think that it replaces conventional knowledge and its transmission. From the onset of this chapter, the author admits that technology has a lot to offer and improve teaching and learning transaction in terms of curriculum design, curriculum implementation, and curriculum evaluation in all stages. It also sets a pace as an aid to learning especially during this era of technological savviness. To answer the question whether technology is a deciding factor on learning outcomes remains a work of further research and more so educational dialogue forums on the subject matter. However, this study has underscored the significance and usability of technology to learning and that without which learning outcomes become rather wanting. It is further argued that teachers who are half baked in the use of technology can bring more harm to education than good. To be precise, technology in education requires a “handle with care” machine. Teachers must be able to use the “machines” and not to be used by them.
Ramifications of E-Learning Within Education
Authors: Şentürk Cihad , Ata Rıdvan
Published: August 2018

Change is an inevitable reality of life. Countries, cultures, ways of thinking and producing, relations, and nature are constantly changing. The human being is constantly changing. This change and transformation takes place even faster with the advanced technology today. Surely this change and transformation has influenced many aspects of life and brought innovations into education. As a result of this change and transformation, the education process in many countries has turned into a student-centered structure supported by technology, embracing alternative approaches instead of traditional learning-teaching approaches.
Teacher Technology Competence Base
Authors: Makewa Lazarus Ndiku
Published: August 2018

This chapter looks at the teacher and his/her technology competence base. It will attempt to determine what technology competencies the teacher should have before engaging in the use of any educational technology in the teaching and learning process. The content will argue that schools need to support teachers in accessing needed technology and in learning how to use it effectively. Institutions responsible for pre-service and in-service professional development for educators should focus explicitly on ensuring all educators are capable of selecting, evaluating, and using appropriate technologies and resources to create experiences that advance student engagement and learning. Teachers should be expected to model how to leverage available tools to engage content with curiosity and a mindset bent on problem solving and how to be co-creators of knowledge. In short, teachers should be the students they hope to inspire in their classrooms. Six concepts will guide this chapter; these are technological, instructional, methodological, evaluative, communication, and attitude.
Constructivism Theory in Technology-Based Learning
Authors: Makewa Lazarus Ndiku
Published: August 2018

Learning theories are conceptual frameworks describing how knowledge is absorbed, processed, and retained during learning. This chapter will explore constructivism theory and how it determines impact on technology knowledge in instruction. Constructivism theory states that learning occurs when one constructs both mechanisms for learning and his or her own unique version of the knowledge. It states that knowledge must be constructed by the learner. The teacher can only assist the learner to do the construction. The construction of knowledge is a dynamic process that requires the active engagement of the learners who will be responsible for one's learning while the teacher only creates an effective learning environment. As students and teachers make use of technology in the learning process, these skills become necessary and the technology becomes a learning tool. Technology can serve as coaches by locating the problem and allowing for as much rehearsal, practice, and help as necessary to accomplish the task. Technology can enhance the cognitive powers of students.
A Pedagogical Approach Towards Curating Mobile Apps in an Educational Context
Authors: Hambrock Helga B , Richter Richard G
Published: August 2018

Mobile apps vary in functionalities. The more apps are developed, the process of determining whether an app is effective in an educational environment can become next to impossible. The purpose of this chapter is to propose a curation rubric with a specific focus on evaluating mobile apps by utilizing three pedagogical frameworks as guidelines. Existing pedagogical frameworks for categorizing apps have been proposed by Allan Carrington based on Bloom's taxonomy for learning and the SAMR model by Puentedura. In this study the researchers are widening the lens by proposing the inclusion of the levels of instruction by Gagne as a third pedagogical framework as part of a curation rubric for mobile apps. The rational for adding the third framework is supported by the notion that technology should be regarded as “mindtools” which do not only focus on learning with technology, but also rely on effective facilitation and implementation thereof in an educational context.
Identification and Evaluation of Quality of Open Access Journals Cited by Researchers of MIT, CIT and STANFORD
Authors: Wani Showkat Ahmad , Wani Zahid Ashraf , Bhat Aamir Rehman
Published: August 2018

The study focuses on the top 3 institutions of the USA as ranked by the Times Higher Education University rankings and was keen to identify the quality of fully Open Access (OA) journals cited by the researchers of these institutes in the field of physics. Quality evaluation of identified OA journals was done by applying performance indicators viz: 5-year IF, SNIP and Eigen factor. It was found that these fully identified OA journals have decent 5-year IF, SNIP factor and Eigen factor, which indicates that OA journals are evolving as qualitative channels of scholarly communications. The study implicates that researchers, R&D institutions, libraries and information dissemination centres or anyone should make use of OA resources, and a good chunk of OA journals are at par with journals which are Toll-Access journals. Besides, it also reveals that OA publishing should be strengthened by whatever means necessary.
Insights Into University-Business Cooperation in the Information Society
Authors: Mihăeş Lorena Clara , Epure Manuela
Published: August 2018

This chapter dwells on the state of university-business cooperation within the European Union, with special attention to the situation in Romania. The discussion is contextualized by referring to Adapt2jobs, a higher education project, developed with a view to adapting seven courses from three different domains to the demands of today's ever-changing labour market. All courses aim at developing transversal, multidisciplinary, and innovation skills and competences, and offers students up-to-date subject-specific knowledge. Moreover, the choice of blended learning for their delivery is meant to bring the new technologies inside the university for the benefit of students who are encouraged to become active and reflective learners, able to continue learning long after leaving school.
The Sociocultural Outlook for Education and Business Interaction
Authors: Epshtein Mikhail
Published: August 2018

The chapter, which is an introduction to the book, discusses language features and ways of describing the phenomenon of cooperation between business and education, and attempts to describe the field of existing projects that require study and reflection. Some of these projects are described in this book. The objective of the book (and of this chapter as an introduction for this book) is to present the existing experience of such an interaction to the community concerned, to try to see together with the participants of the process, what works yet and what doesn't, what ins and outs appear during this interaction, and what are the positive effects of the cooperation. Such talk about existing practices of business and education interaction will let us discover trends, propose possible ways of collaborative work, and propose modes for further investigation of this phenomenon.
Current Approaches, Challenges, and Perspectives on Spatial OLAP for Agri-Environmental Analysis
Authors: Bimonte Sandro
Published: August 2018

Spatial OLAP (SOLAP) systems are powerful GeoBusiness Intelligence tools for analysing massive volumes of geo-referenced datasets. Therefore, these technologies are receiving considerable attention in the research community and in the database industry as well. Applications of these technologies are current in several domains such as ad marketing, healthcare, and urban development, to name a few. Contrary to other application domains, in the context of agri-environmental data and analysis, SOLAP systems have been underexploited. Therefore, in this paper, the author makes an exhaustive survey of most of the published studies in the domain of the SOLAP analysis of agri-environmental data with an emphasis on the reasons why only few recent works investigate the use of SOLAP systems in the agri-environmental context. In particular, the author focuses on the complexity of the spatio-multidimensional model and its implementation. Moreover, based on surveying the state of the art in this domain, this paper identifies some general guidelines that must be considered by the scientific community to design and implement efficient SOLAP approaches to the analysis of geo-referenced agri-environmental datasets. Finally, open issues about warehousing and OLAPing agri-environmental data are also shown in the paper.
A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling
Authors: Farah Mohamed , Nefzi Hafedh , Farah Imed Riadh
Published: August 2018

Nowadays, geographic information becomes too complex and abundant, thus recent research projects have been undertaken to make it manageable and exploitable. Ontologies are considered as a valuable support for geographic information representation. Building geographic ontologies could be viewed as an enrichment process. Alignment of concepts coming from different ontologies is central to the enrichment process and deeply affects the quality of the resulting ontology. The alignment of ontologies is based on using similarity measures. In the literature, there are many models for ontology alignment that mainly differ with respect to the similarity measures they use and the way they are combined. Most of the alignment methods do not deal with the problem of correlation between similarity measures. In this chapter, we address this issue to better decide which similarity measures we should consider to better assess the true similarity between concepts. Our proposal consists of using feature selection methods, in order to select a reduced set of relevant similarity measures.
Application of Conventional Data Mining Techniques and Web Mining to Aid Disaster Management
Authors: Kumar Akshay , Mukherjee Alok Bhushan , Krishna Akhouri Pramod
Published: August 2018

Data mining techniques have potential to unveil the complexity of an event and yields knowledge that can create a difference. They can be employed to investigate natural phenomena; since these events are complex in nature and are difficult to characterize as there are elements of uncertainty involved in their functionality. Therefore, techniques that are compatible with uncertain elements can be employed to study them. This chapter explains the concepts of data mining and discusses at length about the landslide event. Further, the utility of data mining techniques in disaster management using a previous work was explained and provides a brief note on the efficiency of web mining in creating awareness about natural hazard by providing refined information. Finally, a conceptual framework for landslide hazard assessment using data mining techniques such as Artificial Neural Network (ANN), Fuzzy Geometric Mean Model (FGMM), etc. were chosen for description. It was quite clear from the study that data mining techniques are useful in assessing and modelling different aspects of landslide event.
Species Distribution Models (SDM) – A Strategic Tool for Predicting Suitable Habitats for Conserving the Target Species
Authors: Balakrishnan Balaguru , Nandakumar Nagamurugan , Sebastin Soosairaj , Kareem Khaleel Ahamed Abdul
Published: August 2018

Conservation of the species in their native landscapes required understanding patterns of spatial distribution of species and their ecological connectivity through Species Distribution Models (SDM) by generation and integration of spatial data from different sources using Geographical Information System (GIS) tools. SDM is an ecological/spatial model which combines datasets and maps of occurrence of target species and their geographical and environmental variables by linking various algorithms together, that has been applied to either identify or predict the regions fulfilling the set conditions. This article is focused on comprehensive review of spatial data requirements, statistical algorithms and softwares used to generate the SDMs. This chapter also includes a case study predicting the suitable habitat distribution of Gnetum ula, an endemic and vulnerable plant species using maximum entropy (MaxEnt) species distribution model for species occurrences with inputs from environmental variables such as bioclimate and elevation.
Bridging the Gap Between Strategic Environmental Assessment and Planning
Authors: Campagna Michele , Di Cesare Elisabetta Anna , Matta Andrea , Serra Matteo
Published: August 2018

Current planning practices in Europe are affected by new regulations aiming at environmental protection and risk reduction, however, planning professionals often face difficulties in properly implementing the principles given by the norms. This paper discusses the influence of the introduction of Strategic Environmental Assessment and of Spatial Data Infrastructures in the EU, highlighting innovation potential and implementation shortcomings and pitfalls. To address these issues, the Geodesign approach is proposed, firstly analysing its relationships with the current planning regulations at the regional level in Italy, and then its opportunities for application in practice with regard to the Sardinian case study (Italy); secondly an integrated Planning Support System is proposed and tested to implement the core phases of the Geodesign approach. The paper concludes suggesting that Geodesign may fruitfully address some of the major issues in the current planning and SEA practice, taking full advantage of the newly available resources of SDI.
Unsupervised Segmentation of Remote Sensing Images Using FD Based Texture Analysis Model and ISODATA
Authors: Hemalatha S. , Anouncia S. Margret
Published: August 2018

In this paper, an unsupervised segmentation methodology is proposed for remotely sensed images by using Fractional Differential (FD) based texture analysis model and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Essentially, image segmentation is used to assign unique class labels to different regions of an image. In this work, it is transformed into texture segmentation by signifying each class label as a unique texture class. The FD based texture analysis model is suggested for texture feature extraction from images and ISODATA is used for segmentation. The proposed methodology was first implemented on artificial target images and then on remote sensing images from Google Earth. The results of the proposed methodology are compared with those of the other texture analysis methods such as LBP (Local Binary Pattern) and NBP (Neighbors based Binary Pattern) by visual inspection as well as using classification measures derived from confusion matrix. It is justified that the proposed methodology outperforms LBP and NBP methods.
Indian River Watershed Image Analysis Using Fuzzy-CA Hybrid Approach
Authors: Mahata Kalyan , Das Subhasish , Das Rajib , Sarkar Anasua
Published: August 2018

Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automata model based on fuzzy segmentations. This approach detects the overlapping regions in remote sensing images by uncertainties using fuzzy set membership values. As a discrete, dynamical system, cellular automaton explores uniformly interconnected cells with states. In the second phase of our method, we utilize a 2-dimensional cellular automata to prioritize allocations of mixed pixels among overlapping land cover areas. We experiment our method on Indian Ajoy river watershed area. The clustered regions are compared with well-known FCM and K-Means methods and also with the ground truth knowledge. The results show the superiority of our new method.
Spatial and Temporal Patterns of Wetland Cover Changes in East Kolkata Wetlands, India From 1972 to 2011
Authors: Li Xia , Mitra Chandana , Marzen Luke , Yang Qichun
Published: August 2018

Land use and land cover change has a slow but prolonged impact on various aspects of environment on local, regional and global scales. In developing countries especially population pressure and food demand have compelled conversion of wetlands to built-up and agricultural lands. One such unique example is the East Kolkata Wetlands (EKWs) located on the eastern fringes of Kolkata City in India where such land cover change is very intense and rapid. In this study, wetland conversions in EKWs from 1972 to 2011 were analyzed with four Landsat images using the Geographic Object-Based Image Analysis (GeOBIA) and a post-classification comparison. Results suggested that wetland areas decreased by 17.9 percent during the study period. The western part of the wetlands saw the maximum conversion of wetlands to built-up areas with time, whereas the east and south experienced more of wetlands to agricultural and other land conversions