Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of Loyalty to Earthen Defensive Heritage as a Key Factor in Sustainable Preventive Conservation

One of the main risks to the preservation of Spanish defensive heritage is anthropic in origin and is associated with local society’s lack of cultural identification with these cultural assets. Consequently, there is a dearth of conservation strategies. In this paper, the current situation is examined, then a management model is proposed, with the Torre de Romilla in the Granada province (Spain) as its focus. The model is constructed on the basis of research regarding the antecedents to loyalty towards this heritage landmark, in order to enhance its value. To accomplish this, survey data from 200 randomly selected subjects was collected and analysed. The results indicate that the antecedent factors which determine loyalty are place attachment and its perceived image, which lead to an increased probability that the site will be visited and recommended. The direct consequence of this is that contributions to the economy from tourism would allow for the sustainable conservation of these assets.
Information Technology Enabled Persuasion: An Experimental Investigation of the Role of Communication Channel, Strategy and Affect

With advances in information and communication technologies (ICT), organizations of various forms now deploy an increasing number of ICT-enabled persuasive systems in several domains. Traditional computer-mediated communication (CMC) theories mainly focus on the effectiveness of media in the synchronous/asynchronous spectrum for effectively matching medium with communication task. The contemporary communication environment is rich with asynchronous channels such as email, Web, and text messaging, which makes it important to go beyond synchronicity and determine the nuances among various asynchronous channels. No rigorous research has compared the effectiveness of these channels in the persuasive systems domain where organizations use technology to persuade users to modify their behavior in a direction that they mutually agree to be desirable. In this paper, we study the effectiveness of CMC and the strategy used to frame the persuasive message. We explore persuasive strategies of praising, reminding, suggesting, and rewarding for health behavior and promotion. We model user experience as a mediator between channel strategy combinations and persuasive effectiveness. Through controlled user studies, we compared sixteen combinations of communication channel and persuasive strategy with or without emoticons. We found that channel/strategy combinations affect persuasive effectiveness (mediated by user experience) in varying degrees. Our findings contribute to the body of CMC and persuasive system knowledge and have practical implications for online advertising, health promotion, and persuasive technology design.
Analysing and evaluating websites: locating public health within an international multi-disciplinary review of published research

Little has been written on the types of public health and wider academic research published about the analysis and evaluation of websites. This paper investigates the subject with the aim of highlighting the gaps and opportunities for future research. In so doing, it not only informs academics of potential research areas, it also provides valuable information for undergraduate and masters dissertation students, and their supervisors, on an important source of accessible data. We undertook a systematic search of published research identifying articles from 2000 to 2017. Articles were eligible for inclusion if their title contained the words website* and analysis, or website* and evaluation. A second, more detailed investigation was conducted on articles in the same sample for 2015-2017. A third round of investigation reviewed 10 articles in more depth, based on those from the highest-ranking journals. We demonstrate that research specifically about websites has increased significantly since the year 2000. Contrary to recent social media-focused research, in our research, health-related articles were found to be the largest group in the field. Research about websites focused on issues such as information accuracy and corporate social responsibility. Other health promotion and public health areas of international concern, such as ‘sustainable development goals’, were less prominent. There was little scrutiny of national or local government websites. It is recommended that future research includes a focus on recognised international health promotion and sustainable development priorities.
Mining Vital Nodes in Complex Networks

Mining vital nodes/edges has always been a basic problem in Graph Theory. As the study of Complex Networks has become more and more hot, especially that there are lots of real-world networks that can be modeled as Complex Networks, which also have many important properties different from those in the traditional Graph Theory, e.g. small-world property, scale-free property, etc. How to mine vital nodes in Complex Networks has become a new-born problem. This paper reviews some basic concepts of Complex Networks, summaries and analyses some classic measures of mining vital nodes in some fields, and predicts some further-studied questions and possible applications.
Compression Level Analysis: Examining video recompression levels for forensic examination

With more digital devices such as cameras, smartphones, and tablets currently in use than there are humans in the world, forensic analysis of videos is here to stay. While there are many tools available to forensic examiners to determine the authenticity of a video, this document focuses on the Compression Level Analysis of videos recorded on different digital cameras. This study will examine videos recorded on 30 different devices including digital cameras, smartphones, and tablets. The acquired test videos were recompressed using multiple programs including Adobe Premiere Pro, HandBrake, FFmpeg, QuickTime Player 7 Pro, as well as YouTube. The recompressed videos were processed with MATLAB to generate data showing the Compression Level Analysis. The data will provide the differences between recompression generations from each program. Also, this data will discover visual cues left behind during the recompression process, which were created by the programs used. The form and content of this abstract are approved. I recommend its publication. Approved: Catalin Grigoras
Mobile Hotspot Network System for High‐Speed Railway Communications Using Millimeter Waves

We propose a millimeter wave (MMW)‐based mobile hotspot network (MHN) system for application in high‐speed railways that is capable of supporting a peak backhaul link throughput of 1 Gbps per train at 400 km/h. The MHN system can be implemented in subways and high‐speed trains to support passengers with smart devices and provide access to the Internet. The proposed system can overcome the inherent high path loss in MMW through system designs and high antenna gains. We present a simulation of the system performance that shows that a fixed beamforming strategy can provide high signal‐to‐interference‐plus‐noise‐ratio similar to those of an adaptive beamforming strategy, with the exception of 15% of the train path in which the network can use link adaptation with low‐order modulation formats or trigger a handover to maintain the connection. We also demonstrate the feasibility of the MHN system using a test bed deployed in Seoul subway line 8. The backhaul link throughput varies instantaneously between 200 Mbps and 500 Mbps depending on the SNR variations while the train is running. During the field trial, the smartphones used could make connections through offloading.
Analyzing the Cohesion of English Text and Discourse with Automated Computer Tools

This article investigates the lexical and discourse features of English text and discourse with automated computer technologies. Specifically, this article examines the cohesion of English text and discourse with automated computer tools, Coh-Metrix and TEES. Coh-Metrix is a text analysis computer tool that can analyze English text and discourse on various linguistic and psycholinguistic measures of cohesion, readability, and language. Many researchers in the areas of applied linguistics, English education, and language psychology have now extensively used Coh-Metrix to analyze various English texts and textbooks. Recently, the author of this article has developed a new computer tool, TEES which can be applied to evaluate English texts and essays on various linguistic and psycholinguistic measures such as text readability, text cohesion, sentence structure, vocabulary, and text marker scores. Basically, TEES has been developed to evaluate English texts and essays in terms of a standardized norm. In the TEES system, a huge size of corpus was used to construct the standardized norm. This article introduces Coh-Metrix and TEES, and presents some research findings collected from Coh-Metrix studies.
Model-Driven Cloud Data Storage

The increasing adoption of the cloud computing paradigm has motivated a re definition of traditional software development methods. In particular, data storage management has received a great deal of attention, due to a growing interest in the challenges and opportunities associated to the NoSQL movement. However, appropriate selection, administration and use of cloud storage implementations remain a highly technical endeavor, due to large differences in the way data is represented, stored and accessed by these systems. This position paper motivates the use of model-driven techniques to avoid dependencies between high-level data models and cloud storage implementations. In this way, developers depend only on high-level data models, and then rely on transformation procedures to deal with particular cloud storage details, such as different APIs and deployment providers, and are able to target multiple cloud storage environments, without modifying their core data models.
INCREASING THE STUDENTS’ READING COMPREHENSION BY USING RECIPROCAL TEACHING STRATEGY

This research was aimed at finding out: (1) whether or not Reciprocal Teaching Strategy significantly increased the students’ achievement in reading comprehension; (2) the effect size of the strategy in increasing the students’ achievement. This research was a pre- experimental study using one group pretest-posttest design carried out at the eleventh grade students of SMA Muhammadiyah 1 Pontianak in the Academic Year of 2011/2012. The data were collected by using measurement technique. Data analysis showed that t-value was higher than t-table (2.127>2.021) at 0.05 level of significance. It means that the alternative hypothesis is accepted and the null hypothesis is rejected. The mean score of pre-test was 51.5 and the mean score of post-test was 80.8. Thus, it can be concluded that the use of Reciprocal Teaching Strategy significantly increases the students’ reading comprehension. The analysis of effect size showed that the effect size was categorized as high category. Thus, it can be concluded that the use of reciprocal teaching strategy highly influenced the students’ reading comprehension and was considered as effective teaching strategy in increasing the students’ reading comprehension. Keyword: Increasing, Reciprocal, Reading Comprehension
Concepts of Product-Service Configurators for Repurposing used Electric Vehicle Batteries

The configuration of Product-Services Systems (PSSs) can be a complex task because of a large number of possibilities and dependencies that have to be considered. PSS configurators as a class of information systems can be used to support this task. To inform the design of a PSS configurator for the domain of repurposing used Electric Vehicle Batteries, a structured literature review on existing configurators is performed to identify underlying concepts and functionality. The results are discussed regarding their applicability in the specific domain of repurposing used EVBs. Additionally, the results are used to triangulate design choices made in the development of a first prototype.
Powering Monitoring Analytics with ELK stack

Machine-generated data, including logs and network flows, are considerably growing and their collection, searching, and visualization is a challenging task for (a) daily administrator activities and (b) researchers aiming to better find out analytics and insights from monitoring data regarding their research goals, including amongst others security or modeling of network and systems. This tutorial introduces the open source ELK stack and its components, including Elasticsearch for deep search and data analytics, Logstash for centralized logging, log enrichment, and parsing, and Kibana for powerful and beautiful data visualizations. ELK enables the analysis and visualization of monitoring data, such as logs and netflows. The first part of the tutorial details these individual components. The second part provides guidelines for the deployment and configuration of ELK components. In the third part participants will perform hands-on practical work for collecting, processing, and enriching logs and netflows, combined with the creation of associated visualization and dashboards aspects.
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends

“The Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends provides a new and comprehensive knowledge compendium on databases. This handbook pulls together many relevant issues that researchers and practitioners have investigated, proposed or observed to solve diverse real-world problems with the help of databases, and provides a wide compilation of references to topics in the field of database systems and applications. ” Viviana E. Ferraggine, UNICEN, Argentina Edited by: Viviana E. Ferraggine, Jorge H. Doorn, and Laura C. Rivero, UNICEN, Argentina
Parameter Analysis for the Design of Statically Balanced Serial Linkages Using a Stiffness Matrix Approach with Cartesian Coordinates

A statically balanced system is in equilibrium in every pose. In classical balancing solutions for serial linkages, each DOF is balanced by an independent element. Disadvantages are increased mass and inertia for counter-mass, and auxiliary links for spring solutions. Recent literature presents a method for balancing serial linkages without auxiliary links; using multi-articular springs. This method obtains constraint equations from the stiffness matrix. Downsides are different coordinate systems for describing locations and states, and criteria constraining attachments to fixed lines In the present paper Cartesian coordinates are implemented in the stiffness matrix approach. Goal is comparing the use of this single coordinate system to using multiple, and obtaining increased insight in and providing a visualization of parameter relations. The Cartesian coordinates are implemented, providing a simple, intuitive method for designing statically balanced serial linkages allowing for recognition of the full design space. Obtained parameter relations are visualized in an example.
Rethinking Data Analysis - Part Two: Some Alternatives to Frequentist Approaches

In ‘Rethinking data analysis – part one: the limitations of frequentist approaches'’ (Kent 2009) it was argued that standard, frequentist statistics were developed for purposes entirely other than for the analysis of survey data; when applied in this context, the assumptions being made and the limitations of the statistical procedures are commonly ignored. This paper examines ways of approaching the analysis of data sets that can be seen as viable alternatives. It reviews Bayesian statistics, configurational and fuzzy set analysis, association rules in data mining, neural network analysis, chaos theory and the theory of the tipping point. Each of these approaches has its own limitations and not one of them can or should be seen as a total replacement for frequentist approaches. Rather, they are alternatives that should be considered when frequentist approaches are not appropriate or when they do not seem to be adequate to the task of finding patterns in a data set.
Brain Tumor Analysis of Rician Noise Affected MRI Images

Magnetic Resonance Imaging (MRI) established itself as a key imaging modality in diagnosis and treatment of brain tumors. Automatic segmentation of tumors becomes a tedious task due to complex anatomical brain structure. In addition, presence of noise degrades the quality of MRI scans. MRI images are usually corrupted by Rician noise which would mislead the image analysis algorithms and results in improper diagnosis of the diseases. Also, poor tumor boundary becomes a major hurdle for the subsequent stages of tumor analysis such as: feature extraction, classification and quantification. Classification accuracy mainly depends on quality of the denoised images and sharpness of the tumor boundary. This paper investigates the performance evaluation of different image matting techniques to extract tumor from Rician noise affected MRI brain images. General Terms Medical Image Processing
Agile Methodologies: Organizational Adoption Motives, Tailoring, and Performance

ABSTRACT Today, organizations tailor the practices from several agile methodologies to serve their particular environment. But are there situations that drive how an organization should tailor methodologies in a particular manner? This article places 12 commonly used agile development practices into a typology based upon whether they are primarily project management focused or software development approach focused and examines how organizations’ motivations for adopting agile impact the practices they adopt. Finally, it explores how a fit between an organization’s motives for agile method adoption and the tailored agile practices it adopts may lead (or not lead) to differences in project performance.
Musical expertise enhances the cortical tracking of the acoustic envelope during naturalistic music listening

Giovanni M. Di Liberto , Claire Pelofi, Shihab Shamma and Alain de Cheveigné Laboratoire des Systèmes Perceptifs, UMR 8248, CNRS, France. Ecole Normale Supérieure, PSL University, France Institut de Neurosciences des Système, UMR S 1106, INSERM, Aix Marseille Université, France Institute for Systems Research, Electrical and Computer Engineering, University of Maryland, College Park, USA UCL Ear Institute, London, United Kingdom
Cloud Computing Technology: Promises and Concerns

Recently, the concept of cloud computing has witnessed dramatic worldwide growth in the field of information technology (IT). Cloud computing has gained its popularity as a new computing paradigm from an ability to facilitate the provision and use of IT infrastructure, platforms, and applications of any kind in the form of services that are electronically available over the internet. As a result, cloud computing is heading rapidly towards mainstream usage and adoption for many customers, developers, enterprises, governmental institutions, and researchers. In this survey, we give an overview of cloud computing and their application domains, including the challenges that should be addressed in order to push the cloud technology further. Then, we present a systematic and comprehensive taxonomy of the cloud computing technology. Moreover, we review the most popular and successful open source cloud computing technologies and projects. Finally, we identify several open research issues that need to be investigated in the future. This paper intends to help new researchers entering the domain of cloud computing by providing a comprehensive survey on recent developments.
The UX Five-Second Rules: Guidelines for User Experience Design's Simplest Testing Technique

The five-second test is one of the most convenient rapid UX testing methods available, although its value can be compromised by ignoring the restrictions of the method. The Five-Second Rules uses detailed examples from a collection of more than 300 tests to describe the strengths and weaknesses of this rapid testing method. Readers will learn about the "five-second rules" for getting useful data, and will explore what types of design issues can be resolved by using the method. A five-second test (also known as "timeout test" and "exposure test") involves displaying a visual or informational design for five seconds, removing it from view, then asking what aspects were recalled most easily or vividly. The goal is to understand what stands out most about a design or product, and the impact on the viewer's perception of it. Describes the origins of the method and its usefulness in modern UX design research and testing Conveys the need to structure tests carefully so that time, effort, and money are not wasted, and compiled data is not misleading Fosters an appreciation for the method's outcomes and how they can contribute to the success or failure of a proposed design
Development of a generalised PV model in MATLAB/Simulink using datasheet values

This study proposes an improved single-diode modelling approach for photovoltaic (PV) modules suitable for a broad range of the PV technologies available today, including modules based on tandem cell structures. After establishing the model (which has an overall of seven parameters), this study devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficient values as provided in most manufacturers’ datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point (MPP) lies within 1% limit, and the error in its corresponding voltage and current is almost always within 2% limit. Further, for both MPP and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.
Saccharification of wheat-straw cellulose by enzymatic hydrolysis following fermentative and chemical pretreatment

In our investigations, wheat straw fermentations were conducted using the edible, white-rot fungus commonly known as the oyster mushroom, Pleurotus ostreatus (Jacq. ex Fr.) Kummer, as fermentation organism. Fermented substrates were evaluated for degree of lignin and cellulose degradation and saccharification. In addition, since our primary objective in the P. ostreatus fermentation was to increase the amount of availabile cellulose in straw for further fermentation, cellulose hydrolysis rates were determined. Cellulose conversion to fermentable sugar was also determined on chemically modified straws by subjecting them to enzymatic hydrolysis. Progress and extent of delignification was follwed also by scanning electron microscopy (SEM), and structural changes were determined in treated-straw substrates.
Technique for Text Region Detection in Image Processing

The image processing is the technique which is applied to process the digital information stored in the image. The OCR is the technique of image processing which will access the optical character information in the image. In the base paper, the technique is applied which will detect the text portion from the input image. The twp step are applied to detect the text portion, in the first back ground information is extracted and in the second step, technique of deep learning is applied which will mark the text region. In the proposed work, SIFT algorithm is applied which will mark the key points for the key description. In the second step, technique of deep learning is applied which will mark the text area in the input image. The proposed and existing algorithms are implemented in MATLAB and it is been analyzed that accuracy of proposed algorithm is more as compared to existing algorithm.