bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI GOOGLE MY BUSINESS (GMB) DALAM PROMOSI PARIWISATA DI KOTA KUPANG DAN SEKITARNYA
Authors: Manu Gerlan Apriandy , Fallo Diana
Published: March 2020

Sektor pariwisata di Indonesia menjadi salah satu keunggulan ekonomi Indonesia. Berdasarkan Laporan Kinerja Kementerian Pariwisata Tahun 2016, salah satu masalah utama dalam pertumbuhan kepariwisataan di Indonesia adalah belum optimalnya pemanfaatan kemajuan Teknologi Informasi dan Komunikasi dalam mempromosikan destinasi pariwisata secara nasional maupun internasional. Kota Kupang adalah Ibukota Provinsi Nusa Tenggara Timur, yang memiliki beragam potensi wisata baik itu wisata alam, wisata kuliner, wisata budaya dan wisata rohani. Dengan pemanfaatan TIK maka kegiatan promosi pariwisata di Kota Kupang dapat dilakukan dengan efektif dan efisien. Informasi pariwisata di Kota Kupang menggunakan website resmi pemerintah daerah, dinilai tidak terstuktur, tidak terperinci dan tidak terbaharui. Pemanfaatan TIK dalam pengembangan promosi pariwisata di Kota Kupang dan sekitarnya dapat menggunakan Google My Business (GMB). GMB merupakan sebuah platform bisnis yang disediakan oleh Perusahaan Google secara online, bersifat gratis, cepat, dan mudah digunakan oleh suatu organisasi atau perusahaan dalam mempromosikan tempat bisnis, brand atau produk. GMB terintegrasi secara langsung dengan Google Map, sehingga mempermudah wisatawan untuk menemukan suatu objek wisata. Selain itu GMB menyediakan interaksi antara pengelola bisnis (pengelola objek wisata) dan pelanggan (pengunjung wisata). Sehingga dari penelitian ini selain untuk mengetahui implementasi GMB dalam hal mempromosikan tempat wisata di Kota Kupang dan sekitarnya, juga dalam jangka panjang dapat meningkatkan promosi dan pelayanan wisata di Kota Kupang dan sekitarnya.
A HYBRID GREY MCDM APPROACH FOR ASSET ALLOCATION: EVIDENCE FROM CHINA’S SHANGHAI STOCK EXCHANGE
Authors: Atta Mills Ebenezer Fiifi Emire , Baafi Mavis Agyapomah , Amowine Nelson , Zeng Kailin
Published: March 2020

Asset allocation is a critical concern for any investor in the financial market. This paper aims to prioritize five randomly selected firms from the top ten stocks by market capitalization of the Shanghai Stock Exchange (SSE) by opting for adequate financial procedures and practical criteria under uncertain conditions. Decision makers want not only the ranking order of stocks but also capital proportions to be allocated. Therefore, this study uses a hybrid multi-criteria decision-making (MCDM) approach comprising of an integrated analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) in a grey environment for optimal portfolio selection to provide both ranking and weighting information for decision makers. Results indicate that return, financial ratios, dividends, and risk are causal criteria group, which are the most influential determinants for obtaining high benefits with regards to stock portfolio selection in SSE. The free float of stocks is the least influencing criterion among all identified criteria of stock portfolio selection of SSE. The Industrial and Commercial Bank of China Ltd. stocks have the highest allocated proportion with the highest priority shown by investors and can be described as a suitable alternative. The practical implications of this research are that the approach, when applied, highlights how the grey system theory minimizes the uncertainties in all stages of decision-making of portfolio selection.
A Cancellation Nanoflare Model for Solar Chromospheric and Coronal Heating. III. 3D Simulations and Atmospheric Response
Authors: Syntelis P. , Priest E. R.
Published: March 2020

Inspired by recent observations suggesting that photospheric magnetic flux cancellation occurs much more frequently than previously thought, we analytically estimated the energy released from reconnection driven by photospheric flux cancellation, and propose that it can act as a mechanism for chromospheric and coronal heating. Using two-dimensional simulations we validated the analytical estimates and studied the resulting atmospheric response. In the present work, we set up 3D resistive MHD simulations of two canceling polarities in a stratified atmosphere with a horizontal external field to further validate and improve upon the analytical estimates. The computational evaluation of the parameters associated with the energy release are in good qualitative agreement with the analytical estimates. The computational Poynting energy flux into the current sheet is in good qualitative agreement with the analytical estimates, after correcting the analytical expression to better account for the horizontal extent of the current sheet. The atmospheric response to the cancellation is the formation of hot ejections, cool ejections, or a combination of both hot and cool ejections, which can appear with a time difference and/or be spatially offset, depending on the properties of the canceling region and the resulting height of the reconnection. Therefore, during the cancellation, a wide spectrum of ejections can be formed, which can account for the variety of multi-thermal ejections associated with Ellerman bombs, UV bursts, and IRIS bombs, and also other ejections associated with small-scale canceling regions and spicules.
The 3D Distribution of Long-period Mira Variables in the Galactic Disk*
Authors: Urago Riku , Omodaka Toshihiro , Nagayama Takahiro , Watabe YuKi , Miyanosita Ryo , Matsunaga Noriyuki , Burns Ross A.
Published: March 2020

Long-period Mira variable stars are considered to have relatively high initial masses and may be potentially useful as tracers of spiral arm structure of the Milky Way. From 2004 to 2017, we monitored long-period Mira candidates selected from the IRAS color–color diagram in the near-infrared K′ band. As an initial result of this study, we found 108 Mira variables and determined their periods, mean magnitudes, and amplitudes. Most of them are located between 0° and 90° in Galactic longitude. The peak of their period distribution is at around 500 days, which is longer than the typical value for Mira variables selected in optical surveys. Distances to our Mira variables have also been estimated using the period–luminosity relation (PLR) in 3.4 μm with the help of a three-dimensional map of interstellar extinction. While the K

s
-band PLR has a large scatter at longer periods (log P > 2.6), the PLR based on the Wide-field Infrared Survey Explorer 3.4 μm data has a much smaller scatter. We compare the spatial distribution of our sample to the spiral arms in the literature, and discuss the possible association of the long-period Mira variables with the spiral arms although the limited spatial coverage and the limited distance accuracy of the current sample prevent us from drawing a firm conclusion.
Beclin 1 Complex and Neurodegenerative Disorders
Authors: Kareem Ozaifa , Bader Ghulam Nabi , Pottoo Faheem Hyder , Amir Mohd. , Barkat Md. Abul , Pandey Mukesh
Published: March 2020

Beclin1 is the mammalian orthologue of yeast Atg6/vacuolar protein sorting-30 (VPS30). Beclin1 interacts with various biological macromolecules like ATG14, BIF-1, NRBF2, RUBICON, UVRAG, AMBRA1, HMGB1, PINK1, and PARKIN. Such interactions promote Beclin1-PI3KC3 complex formation. Autophagy is blocked in apoptosis owing to the breakdown of Beclin1 by caspase whereas autophagy induction inhibits effector caspase degradation, therefore, blocks apoptosis. Thus, the Beclin1 is an essential biomolecular species for cross-regulation between autophagy and apoptosis. Various studies carried out in neurodegenerative animal models associated with aggregated proteins have confirmed that multifunctional Beclin1 protein is necessary for neuronal integrity. The role of Beclin1 protein has been investigated and was reported in various human neurodegeneration disorders. This chapter aims to provide an insight into the role of Beclin1 in the development of neurodegenerative disorders.
Cysteine in Alzheimer's Disease
Authors: Ingale Suvarna P. , Patil Rupali , Upaganlawar Aman B.
Published: March 2020

Alzheimer's disease (AD) is characterized by selective loss of neurons in the hippocampus and neocortex due to abnormalities in proteins, mainly Aβ peptide and tau protein, in the form of abnormal protein aggregations or depositions in neurons. Recently oxidative/nitrosative stress has been identified as an important facilitator of neurodegeneration in AD. Cysteine-dependent proteins are known to be associated with the neurodegenerative process. Such cysteine-dependent enzyme proteins are proteases, antioxidant enzymes, kinases, phosphatases, and also non-enzymatic proteins such that utilize cysteine as a structural part of the catalytic site. This chapter deals with the role of cysteine in handling reactive oxygen/nitrogen species during oxidative/nitrosative stress and posttranslational modification of proteins causing protein misfolding or protein aggregation during neurodegeneration associated with AD.
Knowledge Mobilization and Global Higher Education
Authors: Garretson Christopher J. , Lemoine Pamela A. , Waller Robert E. , Richardson Michael D.
Published: March 2020

Two major world changes have changed global higher education; the move from a content-based economy to a knowledge-based economy and globalization have led global higher education to critically examine its position in the new hierarchy. Global higher education is using knowledge mobilization to as a means to build capacity for the changing environment. There is a call for global universities to engage in the generation of knowledge related to pressing global issues and knowledge mobilization has proven to be a reliable tool to connect the university with society.
Risk Assessment
Authors: Papanikou Maria
Published: March 2020

The chapter analyses knowledge management paradigms for the understanding and prioritisation of risks (risk assessment), leading to decision making amongst policymakers. Studies and approaches on knowledge-based risk assessment and, in general, risk management vary depending on perceptions of risk, and these perceptions affect the knowledge scope and, ultimately, affect decisions on policy. Departing from the problems of big data in aviation, the shortcomings of the existing knowledge management paradigms and the problems of data conversion to knowledge in aviation risk management approaches are discussed. The chapter argues that there is a need for transciplinarity and interdisciplinarity for greater understanding of context deriving from the challenges in the big data era and in aviation policymaking. In order to address the challenging dynamic context in aviation, the chapter proposes a strength/knowledge-based inquiry that involves public sector and high-power organisations in order to gain holistic knowledge and to aid the decision analysis of policymakers.
Practices and Challenges of Knowledge Management in the Greek Public Sector
Authors: Ismyrlis Vasileios
Published: March 2020

Knowledge management (KM) is a highly appreciated initiative in the field of management, and though it was initiated from the private sector, in the last years there has been an extensive interest and concern in the public sector. KM seems to be an excellent solution in order to manage the information and knowledge inside the organizations by saving valuable resources. In this research, many studies concerning the implementation of different KM practices in Greek organizations were examined. From the studies analyzed, it was concluded that the employees of the Greek public organizations have embraced all the activities concerning KM practices. However, many problems typical of the Greek public sector were present such as the absence of a reward system for knowledge transfer, the functioning of the public sector employees in an individualistic way, and the delay in adopting information and communication technology (ICT) practices and in the promotion of e-government.
Implementing a Knowledge Management-Based Model for Lessons Learned
Authors: Levy Moria , Salem Rinat
Published: March 2020

Lesson learning is a well-known and crucial organizational tool that serves many organizations wishing to improve their performance. This chapter describes a knowledge management (KM)-based model, improving the level of learning and of the lessons learned with the goal of reducing repeated mistakes as well as recreating their successes. The key features of the model were the base of a research conducted using a case study approach implemented at the Welfare Division of the Jerusalem Municipality's Community Services Administration. The implemented model, based on KM ideas, added two significant stages to the process of debriefing—refining the lessons learned and transforming them into lessons that are managed in an independent database—as well as an additional stage, which was comprised of active processes of integrating the lessons into the organizational work.
Overtourism
Authors: Lai Hio Kuan , Pinto Patrícia , Pintassilgo Pedro
Published: March 2020

The concept of overtourism has been popularly discussed in recent years, upon local residents starting to recognize the tourism disturbances in some high-profile destinations. For a sustainable tourism development, it is crucial to investigate potential impacts of overtourism towards the local residents living in the destination. Thus, this chapter employs the existing academic work on quality of life (QoL) concepts, to examine the correlations between residents' perception of tourism's impact to them in material, community, emotional, and health & safety life domains, and their satisfaction with QoL in corresponding life domains, and their overall life satisfaction. This chapter involves a survey taken place in Macau, which represents a case of plausible overtourism. The research reveals that residents who perceived more negative impact from tourism on QoL, were more unsatisfied with QoL. Thus, tourism planners and policy makers should be aware of such threat on sustainable tourism development and search out a solution balancing different stakeholders in overtourism destinations.
The Impact of Vacation Rentals on Housing
Authors: Urrestarazu Ricardo , Garcia Pozo Alejandro , Sanchez-Ollero Jose Luis
Published: March 2020

The increase in the price of housing for rent and ownership in the city of Malaga is causing a problem of accessibility to it for the most disadvantaged sectors of the municipality, coinciding at the same time with the expansion of the vacation rentals on housing. This phenomenon is characteristic of the Spanish tourist cities, with growths of this variable greater than the national average; and not only is it depressing family income already reduced in recent years, but they are influencing essential aspects of the urban morphology of the city such as its historical heritage and its commercial fabric. All this is producing a social and academic debate on what public policy proposals might be that could be made to limit the growth of the phenomenon.
In Search of Overtourism Indicators in Urban Centres
Authors: De la Calle-Vaquero Manuel , García-Hernández María , Mendoza de Miguel Sofía , Ferreiro-Calzada Elena
Published: March 2020

Urban tourism is in constant growth. The increase in the number of tourists has a special impact on historic centres. Some problems related to overcrowding arise in these spaces, which represent important challenges for urban management. This chapter reflects on the need to define overtourism indicators that allow dimensioning the phenomenon and its impacts. But it also involves a deep reflection on the limits of application of these indicators. These limits derive from the absence of reference values and the operational difficulties to obtain data. First of all, the state of the art regarding the indicators is made. Secondly, based on a review of the existing bibliography, the next section raises some indicators of activity and tourism specialization. The focus is on European cities and the application of these indicators is shown in the historic centre of Madrid. Another section also looks at the perception of the phenomenon by different local stakeholders due to the absence of commonly accepted overtourism values, referring to these perceptions as valuation criteria.
Perceptions and Opinions of the Host Community Regarding Overtourism in the Tourist-Historic City
Authors: Escudero Gómez Luis Alfonso
Published: March 2020

In the last few years, the number of visitors in historic cities has grown, resulting in a situation labeled ‘overtourism'. In these tourist-historic cities, tourism is one of the main local economic foundations. This chapter asks whether the social carrying capacity of the host community has been exceeded, through a case study in Toledo, Spain, a UNESCO World Heritage Site since 1986. The methodology employed is a survey to residents in the city. The main findings show that the residents do not perceive the overtourism situation in the city as something serious. However, some impacts such as the historic centre becoming a museum for tourists, or the traffic congestion derived from overcrowding in both the traffic and pedestrian flow are clearly perceived by the host community. It is the residents in the historic centre those who manifest a more negative opinion of touristic development. This chapter may be of interest to academics, decision makers, and those responsible for tourism in historic cities.
The Context of the Tourism Market in Kazakhstan
Authors: Dirlik Onur , Özen-Aytemur Janset , Atalay Murat
Published: March 2020

This chapter is designed to reveal the development of the tourism sector in Kazakhstan as an example of the process of integrating Central Asia countries into the capitalist world economy at various levels in the post-Soviet period. The study aims to understand the effects of some contextual elements that affect the development process of the tourism sector in Kazakhstan. For this purpose, interviews were conducted with the managers of foreign tour operators operating in Kazakhstan. It is expected some context-based elements may be observed by the managers and to obtain some clues about the distinctive path of developing capitalist economy of the country. Following a brief literature review about the role of the state and tourism sector in Kazakhstan, the rest of the chapter includes the authors' findings on the characteristics of the institutional context of the tourism market in Kazakhstan.
Civic Engagement and Strategic Leadership for Organizational Development
Authors: Kisusu Robert W. , Tongori Samson T.
Published: March 2020

Community-based organizations (CBOs) are non-profit organizations established voluntarily by members in order to deliver specified services effectively. However, CBO development in Tanzania reported performing unsatisfactorily. This chapter highlights causal key problems and controversial and established solutions that can improve CBO development. Among the problems are financial dependency, weak managerial skills, low ICT coverage, gender inequality, poverty, and poor infrastructure. But the controversial issues are ineffective consultation between key actors and gender dominated by males. To achieve CBO development, the chapter notes the use of civic engagement, especially sensitization, awareness creation while strategic leadership focus on voluntary, sacrificial and compromising leaderships. The chapter concludes that CBO development in Tanzania is best to apply components of civic engagement and strategic leadership while the recommendation is to combine and integrate both civic engagement and strategic leadership with their essential sub-components.
Platform for Citizen Engagement for Good Governance in India
Authors: Singh Abhishek , Kaushik Anjali
Published: March 2020

Citizens are important stakeholders and play a critical role in advocating and enabling public institutions to become more transparent, accountable, and effective and suggest innovative solutions to complex development challenges. Citizen engagement is at the core of good governance. Mygov.in is a platform to engage citizens and get their input and suggestions for various government policies and plans in India. MyGov platform provides an opportunity to citizens across the world to engage directly with the government departments, policymakers, and implementers. MyGov is planned as the key platform for all citizen engagement needs of the country across various departments and ministries. The presence of such a digital platform in a democratic country reflects willingness on part of the government to share information and make citizens a partner in decision making. This chapter elaborates on the need, discusses the MyGov initiative, compares it to other such initiatives globally and highlights major issues and concerns in the citizen engagement process.
Forging Civic and Democratic Governance From Below Through Virtual State and Communities
Authors: Tshishonga Ndwakhulu Stephen
Published: March 2020

The demand for accountable and transparent government in post-apartheid is apparent as citizens and social movements are up in arms exercising their democratic citizenship for democratic governance. By employing effective communication, sharing tasks, planning together, and monitoring performance, teams are able to achieve their goals. The advantage of adopting a virtual state and teams is that the usage of technology to mediate virtual teams allows organisations to reduce costs (human and non-human resources), especially for international virtual teams. This chapter argues that without a holistic understanding of how the government works, the existing participatory mechanisms such as the constituency offices and ward committees would not yield the desired outcomes and impact. The chapter made use of case studies of communities of practice to unpack the concept of a virtual state and communities.
Improving Spam Email Filtering Systems Using Data Mining Techniques
Authors: Awad Wasan Shaker , Rafiq Wafa M.
Published: March 2020

Email is the most popular choice of communication due to its low-cost and easy accessibility, which makes email spam a major issue. Emails can be incorrectly marked by a spam filter and legitimate emails can get lost in the spam folder or the spam emails can deluge the users' inboxes. Therefore, various methods based on statistics and machine learning have been developed to classify emails accurately. In this chapter, the existing spam filtering methods were studied comprehensively, and a spam email classifier based on the genetic algorithm was proposed. The proposed algorithm was successful in achieving high accuracy by reducing the rate of false positives, but at the same time, it also maintained an acceptable rate of false negatives. The proposed algorithm was tested on 2000 emails from the two popular spam datasets, Enron and LingSpam, and the accuracy was found to be nearly 90%. The results showed that the genetic algorithm is an effective method for spam classification and with further enhancements that will provide a more robust spam filter.
Agent-Based Intrusion Detection in Wireless Networks
Authors: Mechtri Leila , Djemili Fatiha Tolba , Ghanemi Salim
Published: March 2020

The need for effective, optimal, and adaptive intrusion detection systems that fit wireless networks' requirements caused agent-based intrusion detection systems to prevail though the complexity and challenges entailed by their deployment. This chapter presents the recent achievements in terms of the proposed frameworks, architectures, and implementations for the application of agent technology to intrusion detection in wireless networks. The chapter highlights their main features, strengths, and limitations. It also discusses the main issues that most existing works do not address like IDS security and proposes solutions to cope with some of the presented problems.
A Review of Machine Learning Techniques for Anomaly Detection in Static Graphs
Authors: Al-Ammal Hesham M.
Published: March 2020

Detection of anomalies in a given data set is a vital step in several applications in cybersecurity; including intrusion detection, fraud, and social network analysis. Many of these techniques detect anomalies by examining graph-based data. Analyzing graphs makes it possible to capture relationships, communities, as well as anomalies. The advantage of using graphs is that many real-life situations can be easily modeled by a graph that captures their structure and inter-dependencies. Although anomaly detection in graphs dates back to the 1990s, recent advances in research utilized machine learning methods for anomaly detection over graphs. This chapter will concentrate on static graphs (both labeled and unlabeled), and the chapter summarizes some of these recent studies in machine learning for anomaly detection in graphs. This includes methods such as support vector machines, neural networks, generative neural networks, and deep learning methods. The chapter will reflect the success and challenges of using these methods in the context of graph-based anomaly detection.
Green Charcoal
Authors: More Shreyas , Sutaria Meenal
Published: March 2020

The two main challenges that future cities will face are the unavailability of material resources and the waste generated as a result of resource consumption. The chapter exhibits applied research into green charcoal that addresses the crisis of the fourth industrial revolution through the development of a biomaterial consisting of luffa, charcoal, and soil. It justifies that building materiality must be intentionally designed to transform over time and support an ecosystem of plants, insects, and birds to create self-sustaining natural habitats for all lifeforms. The approach to building materiality and building systems is performance-based, circular, and net positive, thus representing a departure from conventional architectural practices. It provides a framework for high-growth countries like India to reverse the resource crisis and achieve a competitive advantage over mature economies through such initiatives.
On Financial Contagion Through ETFs
Authors: Thomaidou Alexia , Kenourgios Dimitris
Published: March 2020

This chapter investigates the impact of the Global Financial Crisis and the European Sovereign Debt Crisis in ETFs across regions and segments. In particular, two tests are taking place, with the first one to examine if there is evidence of contagion effect and the second one to test the affection of risks in each pair of ETFs. The evidence across the stable period and the two crisis periods suggests the existence of the transmission of shocks from the Global Financial ETF to regional and sectoral ETFs. However, there is evidence that some of the ETFs remain less unaffected during both crises and some of them are immune. Moreover, the authors examine the impact of several control variables, which represent various risks, to the correlation of each pair of ETFs and the results show the influence of the interest rate risk and interbank liquidity risk during the Global Financial Crisis and the European Sovereign Debt Crisis.
Library Collaborative Networks Forging Scholarly Cyberinfrastructure and Radical Collaboration
Authors: Taylor Laurie N. , Alteri Suzan A. , Minson Valrie Ila , Walker Ben , Hawley E. Haven , Dinsmore Chelsea S. , Jefferson Rebecca J. W.
Published: March 2020

Academic libraries and teaching departments sometimes treat Digital Humanities (DH) as radically new. While DH is radically new in terms of collaborative practices and methods, it is also fundamentally rooted in the humanities and intricately connected to core activities by librarians, especially for collaboration. In this chapter, we explain how the UF Smathers Libraries leveraged the library digital collections—with rich technical features and content, and a robust underlying infrastructure—to create the necessary scholarly cyberinfrastructure to then support the DH community for an environment of radical collaboration. To do so, we show how librarians leveraged the new DH opportunities to fundamentally enrich and improve existing, seemingly more traditional work, including collection development, library scholarly councils, collaboration among libraries for print and digital collections, outreach and instruction, and more.
The Construction and Development of Academic Library Digital Special Subject Databases
Authors: Rao Yan , Zhang Yaolei
Published: March 2020

One important component of digital academic library construction is to sort out the unique or rare resources from academic institutions by digitalizing and organizing them by themes. Building special subject databases is an important sub-project under CALIS. Throughout the continued construction and development of Phases I, II and III, a large number of special subject databases have been built. These databases are not only important digital resources that strengthen discipline development, but they are also rich special data resources of digital libraries for higher education in China. By reviewing the development path of the CALIS Special Subject Collection, this chapter will cover the management mechanism, technical platform, standards, social benefits, and philosophy behind it.
The China Academic Digital Associative Library (CADAL)
Authors: Huang Chen , Xue Helen F.
Published: March 2020

In 2000, a collaboration project called the China-America Digital Academic Library (CADAL) was launched by Chinese and U.S. computer scientists and supported by the U.S. National Science Foundation (NSF) and the Chinese Ministry of Education. The leading parties, Carnegie Mellon University and Zhejiang University, pioneered the construction of massive, digitized resources across the world. In 2002, CADAL merged with the China Academic Library and Information System into the China Academic Digital Library and Information System, emerging as one of the most important information infrastructures in the nation. In August 2009, the China Academic Digital Associative Library (new CADAL) was approved by the Ministry of Education, initiating CADAL Project Phase II. CADAL has promoted Chinese university libraries from the role of information-sharing institutions to partners of resource construction and sharing, achieving the world's largest non-profit digital library with more than 2.5 million Chinese and English e-books, a resource that has been exclusively “made in China.”
Web-Scale Discovery Service in Academic Library Environment
Authors: Sahu Mahendra Kumar
Published: March 2020

Web-Scale Discovery service is the new buzzword of library service in the current environment. It refers to a group of products that index a wide number of resources in various formats and allows users to search for content in the physical collection, print and electronic journals collections, and other resources from a single search box. It has the capacity to connect the researchers more easily with the vast information repository of the library including both locally and hosted content i.e. physical holdings, digital collection, and local institutional repositories. This article defines the concept of Web-Scale Discovery Service and its features. The author tries to illustrate the evaluation process for implementing Web-Scale Discovery Service. He also outlines some of important steps involved while execution.
Responsive Library Website Design and Adoption of Federated Search Tools for Library Services in Developing Countries
Authors: Fagbohun Michael Opeoluwa , Nwokocha Nwanne Mary , Itsekor Victoria , Adebayo Oyeronke
Published: March 2020

Library attention has been shifted away from only physical services, since much of its operations are now going virtual, and almost everything about library activities now compete for online attention. Librarians have no choice than to conform to the trend since the major concern of library is to meet the need of its clienteles at all cost. Moreover, the paradigm shift in information ecosystem is now e-discovery tools. Responsive website design and federated search tools are part of the tools adopted to meet and satisfy information needs of library users in this era of information exploration. This chapter looks at the concept of responsive website design and federated search, components of responsive websites design, need for adoption of responsive website design for libraries in developing countries, federated search products and vendors, benefits of federated search technology, dichotomy between open search and federated search, adoption of federated search tools in developing countries, issues to consider with the federated search tool.
Development and Management of Digital Libraries in the Regime of IPR Paradigm
Authors: Karmakar Ranjan
Published: March 2020

This article reports the concept of digital library (DL) with its definitions, concept, generic architecture, ethics and librarianship related to DL. DLs are created by Library professionals, publishers, Government initiatives, societies and other higher educational institutions. There are different types of files and file formats are created and stored on DL. For uploading the files, the copyright / IPR issues are involved. As one cannot upload directly someone's file without the permission of that person. In information communication technology (ICT) environment, the Internet and web enables everyone to have access to the e-contents available from anywhere at any time. Due to this, DL creators cannot take it granted to upload them and make them available online. The IPR issues in digital environment plays a key role for identifying and taking permissions from the respective authors / publishers / content creators to upload the digital content. DL and IPR issues are discussed with the digital rights issues.
Institutional Repositories in Universities in Nigeria
Authors: Oye Peter Olorunlake , Oyeniyi David Ajibola , Mahan David Ezekiel
Published: March 2020

The desire of academic institutions to link up to the virtual repository is a global phenomenon. Traditional scholarly publication through established journals characterized by peer review is being challenged by less formal net-based communication that links scholars essentially instantaneously. The contention is that universities need to preserve the benefits of the old system, in which the review process provides cohesion to a given field, while taking advantage of the speed and ease of access promised by the new media. This paper explores the Nigerian situation as it pertains to universities. The paper is basically descriptive and relies mostly on empirical evidences. It was revealed that because of the opportunities created by this new innovation, there is a burning and widespread desire to latch on this opportunity to increase the visibility of their intellectual output and productivity in the universities. The universities also face challenges in this respect which includes poor technology infrastructure, inadequate funding and lack of awareness amongst others. It is believed that if progress made so far is sustained with improvements on challenges the development, management and deployment of IRs will record tremendous success in universities in Nigeria.
Impact of Electronic Information Resources on the Mindset of Researchers
Authors: Bhat Nazir Ahmad
Published: March 2020

The main purpose of the study in hand was to assess the impact of advent of electronic information resources on some core aspects related to the research activity across agricultural libraries of Northern India. Six aspects have been covered in this study. Seven sampled universities were surveyed personally by the investigator for collecting data about the questions under investigation. A questionnaire was used as a data collection tool. Filled out questionnaires from 1,200 respondents were collected and processed with the help of SPSS statistical package. The response of the users for each statement under investigation has been collected through a simple ‘Yes'/‘No' option. Chi squared test has been administered to work out the significance of association between the parameters under study and the user opinion thereof. The majority of respondents are of the opinion that due to advent of e-resources and in view of the ICT developments the ‘literature survey' (92.94%) and ‘problem identification' (51.81%) has become easy and fast. The ‘spirit to conduct more and more research' has increased among respondents (86.62%). Moreover, this has also enabled the users to ‘complete' (84.31%) and ‘publish' (89.97%) their research work in a lesser time than required in print era. A good percentage of respondents (46.26%) also agree that the ‘cross comparison of findings of one's study with those of other studies has become easy and fast' (46.26%) in electronic era.
Software Architecture Framework of Healthcare Using Nonfunctional Artifacts
Authors: Banodha Umesh , Saxena Kanak
Published: March 2020

The health framework introduces the concept of sustainability because of its dynamics as individuals' needs change with everyday life and environmental changes. It is well known that, despite grave concern, the implementation of health policy is particularly affected in developing countries. This chapter is about creating a healthcare framework that is sensitive, insecure, and flexible. The medication process is dependent on laboratory tests and the techniques vary from time to time, which affects the services that the experts provide to patients. This increases the overall cost of the medication process and can be sustained by the concept of health insurance. For this purpose, the well-planned and defined software is obligatory due to the non-functional requirements up to the concepts of the software architecture. The designed framework is an integrated approach that conveys factual awareness of personalized and competent health services and facilitates agile principles and practices.
Investigating Software Testing Practices in Software Development Organizations
Authors: Vasanthapriyan Shanmuganathan
Published: March 2020

Software testing, which is a knowledge-intensive and collaborative activity, is a sub-area of software engineering. Software testing knowledge can be applied to different testing tasks and purposes. Since software development is an error-prone task, in order to achieve quality software products, validation and verification should be carried throughout the development. This study, using qualitative methods, investigates the current practice of software testing practices in two software companies on the basis that they both claimed to apply software testing practices in their software development work. Interview results revealed some interesting latest trends in software testing from both companies.
ChangeIt
Authors: Varnava Vivian , Constantin Aurora , Alexandru Cristina Adriana
Published: March 2020

The use of technology-based interventions for ameliorating ASD core deficits has been growing in popularity. However, limited technologies are available that can help children with autism (aged 6 to 11) cope with changes, and these do not typically incorporate the methods used or recommended by practitioners. This project addressed this gap through the design, development and evaluation of a prototype app to support children with ASD overcome their difficulties with changes. The researchers report on preliminary work in developing this app, in which they decided not to involve children with ASD before getting some evidence that the app may be useful and suitable for them. Therefore, the design at this stage was informed by the research literature and design studies involving typically developing (TD) children, practitioners and researchers. The evaluation studies revealed that: 1) the app is easy to use; 2) the activities are perceived as fun and engaging; 3) the app may be suitable for children with ASD.
Affective Computing in E-Learning Modules
Authors: Maharjan Mahima , Yeom Soonja , Kim Soo-Hyung , Fan Si
Published: March 2020

This article presents a study on emotions of students and their reactions towards learning and watching video clips with different personality traits, with the help of existing facial expression analyzing applications. To demonstrate this, the user's expressions are recorded as video while watching the movie trailer and doing the quiz. The results obtained are studied to find which emotion is most prevalent among the users in different situations. This study shows that students experience seemingly different emotions during the activity. This study explores the use of affective computing for further comprehension of student emotion in learning environments. While previous studies show that there is a positive correlation between emotion and academics, the current study demonstrated the existence of the inverse relation between them. In addition, the study of the facial analysis of movie trailer confirmed that different people have different ways of expressing the feeling. Results of the study will help to further clarify connection between various personality traits and emotions.
Internet of Things in Disaster Logistics Productivity
Authors: Karatop Buket , Taşkan Buşra , Kubat Cemalettin
Published: March 2020

It is possible to carry out logistics operations in a highly efficient and reliable manner with internet of things technologies. These technologies increase the added value of logistics activities and expand their benefits in the supply chain. Logistic activities are a sine qua non of disaster management. The active use of internet of things during disaster preparedness stage, during disaster, and after disaster, in warehouse and material management, fleet and transport management is an important technological milestone which will greatly increase productivity. Right place, right time, right quantity, right quality, and right price rule is known as 5 Right rule in logistics. In disaster logistics, only the price is excluded from these rules because it does not matter if human life is concerned. Strategic approaches, which are provided by IoT technology, are key to efficiently carry out 5 Right rule in disaster logistics.
How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?
Authors: Koç Erdinç
Published: March 2020

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.
Evaluation of Big Data within the Context of the Protection of Personal Data and Competition Law
Authors: Arvas Fatma
Published: March 2020

In order to sustain their presence in the market, personal data acquirers must obtain, store, and process personal data from sources that feed data such as social media shares, shopping records, and sensor networks. On the other hand, the problem of conformity of real and legal persons whose personal data are processed within the framework of personal data law brings about many legal problems and requires a profound research rather than a limited examination. The fact that a small number of enterprises create dominant power by using big data in market strategy has led to data-dependent companies or markets. Due to the effects that big data caused in the market, there is a need to address many problems in the field of competition law as well as the dimension of privacy and personal rights. In this context, the conflict of interest between the economic interest created by big data and the legal principles of personal data will be addressed and compared with regard to Turkish law and foreign law practices by discussing the relationship between big data and competition law.
Tritrophic interaction between the Mexican sunflower, the aphid Aphis gossypii and natural enemies in a greenhouse experiment
Authors: Venâncio Henrique , Bianchi Renata Alexandre , Lobato Thaís Oliveira Santos , Sampaio Marcus Vinícius , Santos Jean Carlos
Published: March 2020

The establishment of invasive plants negatively affects natural environments. Invasive herbivores that attack weeds can be used as a form of biological control, but natural enemies of herbivores must be associated with this interaction to prevent the invasive phytophagous from become a local pest. We performed a greenhouse experiment to evaluate how the cotton aphid, Aphis gossypii, a ok and invasive herbivore, affects the performance of the weed Tithonia diversifolia, the Mexican sunflower. We also examined the relationship between the aphid and local natural enemies. Seedlings of T. diversifolia were divided in two groups: one infested by the aphid and another not infested. After 22 days, we assessed the relationship between aphid abundance and the presence of natural enemies (Coccinelidae and Aphidius platensis) on infested plants, and compared the vegetative performance of the two seedling groups. Both natural enemies were positively related to high aphid density on infested plants. Plants infested by the aphid presented foliar necrosis and senescence, and a reduction of around 50% in leaf number, foliar area, shoot length and shoot, root and total plant weight compared to non-infested plants. These results indicate potential biological control of Mexican sunflower seedlings by the cotton aphid, and control of this aphid by the studied natural enemies.
Germination of Mansonia altissima (A. Chev.) A. Chev. var. altissima: an endangered valuable timber species in Africa
Authors: Oseni Ojo Michael , Nailwal Tapan Kumar , Pande Veena
Published: March 2020

The in vitro seed germination which results in the production of disease-free seedlings and greenhouse germination of the seeds of Mansonia altissima was investigated in order to establish a better way of germination of the timber species. Five levels of GA3 treatment were used in in vitro germination with three replicate and two seeds were inoculated in each of the jam bottle. Whereas, in greenhouse germination, five levels of different treatments were used, replicated three times and each Petri plate contained 15 seeds. The experiment was repeated twice and the data from each experiment was put together and used for the statistical analysis. The results showed that seeds germination occurred eight days after inoculation in in vitro but in the case of greenhouse germination, it took only five days. For in vitro rapid germination of Mansonia altissima, the MS medium should be supplemented with 1.0 μm of GA3. Equally, in greenhouse germination, the seeds need to be soaked in 1.0 mM of GA3 for 24 hours. Alternatively, in the absence of GA3, the seeds can be soaked in water for 24 hours before broadcasting the seeds on the seedbed for germination, as this will help to identify nonviable seeds.
Mechanical Properties of AA 5754 Hybrid Metal Matrix Composite Fabricated through Rheo-Squeeze Casting
Authors: Sekar Kannan , Jayakumar K.
Published: March 2020

Hybrid metal matrix composites (MMCs) were prepared with AA 5754 as matrix and B4C (fixed with 1 wt.% and average particle size as 25 μm) and Al2O3 reinforcements (varied from 0.5 to 2 wt. % with the interval of 0.5 and average particle size as 50 nm) using Rheo-squeeze casting process. Microstructure images were taken to observe the uniform distribution of reinforcement particles on the matrix alloy. The tensile strength for AA 5754 with 1 wt.% B4C and 2 wt.% Al2O3 hybrid composite showed higher value compared to base alloy and other composites. The wt. % of Al2O3 in the composite is increased to 2 %, the tensile strength and compressive strength were also increased due to combined Rheo-squeeze casting. AA 5754 reinforced with 1 wt.% B4C and 1.5 wt.% Al2O3 MMC indicated the Impact strength value of 30 Joules which is higher than AA 5754 matrix alloy and other compositions.