Reviewerly/exHarmony huggingface dataset:
Adapting an Agile Approach in Mobile E – Commerce

E-commerce nowadays has expanded in the past years, and it is substituting the traditional brick and mortar stores.And most of the brands now have their own web or mobile application so the users can shop online, it is easier and faster.Building an e-commerce application is like any other software it goes through phases in the SDLC.This paper is going to be a guide to adapt the Agile mythology in the development of the mobile e-commerce application.
A Practical Overview on Comparison Discrete and Continuous Probability Distributions

The increase in the Brazilian elderly population draws attention to the need to adopt measures that mainly aim to offer a better quality of life to individuals belonging to this age group.The manifestations of atherosclerotic disease may have even more deleteleric repercussions in elderly individuals.Most of the time they imply a long period of hospitalization or home restriction to the bed, predisposing the individual to other pathologies that are difficult to recover in this age group.Not to mention the large number of fatal cases and long-term disability.Advanced age alone should not be considered as a limiting factor for therapeutic intervention in cases of dyslipidemias.The analysis of life expectancy and quality are extremely important.Dietary guidance is extremely important and should be very judicious, maintaining the caloric and vitamin intake of the elderly.General recommendations prevail, such as acquisition and maintenance of ideal weight, regular physical activity, suspension of smoking, among others.We must keep in mind the greatest difficulty of adherence to non-pharmacological treatment in this group of patients, since our intervention will be done in habits that persist for a long time; if we are facing primary prevention and this fact is detected, we should prolong the phase of non-pharmacological treatment.When prescribing lipid-lowering drugs for individuals over the age of 65 it is necessary to remember that there are numerous changes in the "aged" organism and therefore treatment should be started with lower doses than those usually prescribed for young adults.Statins are lipid-lowering drugs that have shown better efficacy in the elderly and are therefore the drugs of choice.
Reasoning about Research Quality Alignment in Software Engineering

Context: Research quality is intended to assess the design and reporting of studies. It comprises a series of concepts such as methodological rigor, practical relevance, and conformance to ethical ...
Optimasi Naïve Bayes Dan Algoritma Genetika Untuk Prediksi Penerimaan Beasiswa Pendidikan Pada SMP Utama

Educational scholarships are one of the efforts to sustain students in getting a better education. Not a few students drop out in the middle of the road or cannot continue their education at the same level or higher level. Selection according to the criteria for scholarship recipients is important so that scholarships are on target. Similar to Depok Primary Middle School, educational scholarships are provided by schools based on 9 criteria for scholarship recipients, namely parent status, parent work, rented house, home appliances, vehicles, parents 'savings, parents' jewelry, cellphones and pocket money. With the number of prospective scholarship recipients there is an algorithm needed to accurately predict students who are entitled to scholarships. With the naïve bayes algorithm, accuracy is 77.50% in predicting scholarship recipients based on the criteria found in students. The use of genetic algorithms is done to get a more optimal level of accuracy. This is evidenced by the accuracy of 83.33%.
The Role of Media-Medications in Formation Media-Competence for Future Teacher’s Initial School

The article outlines the role of educational opportunities for media in shaping the media competence of future primary school teachers; the scholarsʼ views on the necessity of using the media in the process of professional training are highlighted as they allow students to improve their computer skills and to prioritize their future professional skills; the definition of «media means» is described. It has been established that the systematic use of media in classes influences the development of interest, knowledge, practical skills and skills of students to use media in future pedagogical activities. This will contribute to the formation of key components of the media competence of future teachers: motivational, cognitive, activity. The article deals with media that are actively popularized among students: telephones, Internet tablets, computers, netbooks, interactive white boards, multimedia projectors, systematic use of which in higher education institutions will contribute to the formation of motivation to study in higher education institutions, use of media in future pedagogical activities; students acquire knowledge about the features of various computer programs, mobile applications and improve their skills, skills to work with them, create media products.
Game Texnologies at the Lesson Outright Reading Fantasy Fiction («Petrus Khimrodnyk» by Dara Korniy)

The article generalizes the possibilities of using gaming didactic technologies at the lessons of extracurricular reading of modern Ukrainian literature for younger teens. In connection with the rapid development of information and communication technologies there is a constant need for updating of didactic games. On the example of the review of the story&nbsp; by Dara Korniy "Petrus Khimorodnyk", we describe the use of elements of inspiration, "immersion in the myth", the compilation of associative guides, as well as gaming LEGO-technologies. The features of modern fantasy and of the accessibility of its content for the perception of younger teens are outlined. The main genre-stylistic and compositional features are analyzed, which allow to relate the story "Petrus Khimrodnyk" by Dara&nbsp; Korniy to the children's fantasy. Due to the application of game technologies, a sequence of similar and eventful ways of story analysis in their synthetic bonds is described. The results of the research are summarized, on the basis of which the methodical recommendations for the development of a model of the lesson of extracurricular reading for the study of fantasy fiction are given. The author of the article believes that it is the model of the lesson of an extra-curricular lesson "Game in the game" contributes to the formation of pupils the necessary literary skills and abilities, the development of creative abilities, flexibility of thinking. In the game form pupils perform vocabulary work, peculiar analysis, trace a chain of events and consider the structure of the time-space of the story-fantasy, as well as generalize the notion of its ideological and artistic content.
Google Translate’s Rendition of Verb-Subject Structures inArabic News Reports

The present paper attempts to shed light on one of the issues of Arabic-Englishtranslation by the Google Translate service. The renditions provided for verb-subjectstructures in several news reports are compared and contrasted with the originals inorder to come up with some rules which could assist in regulating the translation of thebasic elements of the Arabic sentence in the above genre. A number of factors are takeninto consideration, such as the length of the subject NP and the verb form and function.GT’s rendition of news reports may be improved by introducing certain rules associatedwith number and articles as well as a limited number of reporting verbs.
Creating and Sharing Sound in the Music Classroom

SoundCloud and SoundTrap have both been mentioned in conversations with colleagues recently, and it is time for me to investigate these platforms personally. This article will describe both platforms and discuss how they can be used to enhance the music classroom.
PREPROCESSING STRATEGY IN WEB-MINING: RECOMMENDED OR INEVITABLE?

Web-browsing users' behavior is one of the fascinating, attractive and interesting subjects, specially from socio-technological perspectives.Companies and learning-organizations are investing huge human resources, efforts and capital to follow their users' behavior, trying to find out and plot their users' profiles.Knowing, understanding and predicting users' tangible and intangible behavior help these organizations to focus on users' needs and interests.Thus, companies and learning-organizations can generate significant intellectual capital and use this asset efficiently and effectively later.The intellectual capital asset can target into business-based and knowledge-based activities, such as pointed-newsletters, targeted markets, crystalizing pricing policies and much more.The users' profiles usually categorized into different classifications, such as social aspects, personality traits, purchase behavior, cognitive behavior, and more.The raw data for this research was collected from web users.Around one hundred thousand internet-society users from one the OECD countries were the basis of the research population.The research examines users' behavior through the net, after collecting wide range of data elements during few months period, using progressive data analysis tools and techniques, afterwards.The case study relies of real work (project), conducted from July-2018 till Feb-2019.The purpose was to recover and re-analyze the collected data after performing improper and incorrect analysis procedures by the original staff.The paper deals with the possible missteps which can happen during the data preprocessing steps in data-intensive projects and tries to understand the consequences of those early missteps can have on the end result.Specifically, the paper recounts those missteps based on real experience during a web mining project.The paper presents a guide on the procedures and decisions which should be taken to avoid or at least minimize critical mistakes during the data preprocessing step.
Improvements to Information Entropy for Raster Spatial Data: A Thermodynamic-based Evaluation

Abstract. Spatial information is fundamentally important to our daily life. It has been estimated by many scholars that almost 80 percent or more of all information in this world are spatially referenced and can be regarded as spatial information. Given such importance, a discipline called spatial information theory has been formed since the late 20th century. In addition, international conferences on spatial information have been frequently held. For example, COSIT (Conference on Spatial Information Theory) was established in 1993 and are held every two years all over the world.In spatial information theory, one fundamental question is how to measure the amount of information (i.e., information content) of a spatial dataset. A widely used method is to employ entropy, which is proposed by the American mathematician Claude Shannon in 1948 and usually referred to as Shannon entropy or information entropy. This information entropy was originally designed to measure the statistical information content of a telegraph message. However, a spatial dataset such as a map or a remote sensing image contains not only statistical information but also spatial information, which cannot be measured by using the information entropy.As a consequence, considerable efforts have been made to improve the information entropy for spatial datasets in either a vector format of a raster format. There are two basic lines of thought. The first is to improve the information entropy by defining how to calculate its probability parameters, and the other is to introduce new parameters into the formula of the information entropy. The former results in a number of improved information entropies, while the latter leads to a series of variants of the information entropy. Both seem to be capable of distinguishing different spatial datasets, but there is a lack of comprehensive evaluation of their performance in measuring spatial information.This study first presents a state-of-the-art review of the improvements to the information entropy for the information content of spatial datasets in a raster format (i.e., raster spatial data, such as a grey image and a digital elevation model). Then, it presents a comprehensive evaluation of the resultant measures (either improved information entropies or variants of the information entropy) according to the Second Law of Thermodynamics. A set of evaluation criteria were proposed, as well as corresponding measures. All resultant measures were ranked accordingly.The results reported in this study should be useful for entropic spatial data analysis. For example, in image fusion, a crucial question is how to evaluate the performance of a fusion algorithm. This evaluation is usually achieved by using the information entropy to measure the increase in the information content during the fusion. It can now be performed by the best-improved information entropy reported in this study.
Proz.com Web Sitesi Örnekleminde Sanal Çeviri Platformlarındaki İş Akışının Çeviri Eylemi Kuramı Çerçevesinde Değerlendirilmesi

Functional translation theories have carried the reality of translation phenomenon beyond the linguistic purposes and provided a new point of view to both translation sector and academia.Functional translation theories are observed to be the most convenient theories describing the workflow in the current translation sector; however, it is seen that these theories fail to mention translation technologies directly.Despite the fact that these theories do not mention about translation technologies at terminology level, critical readings on these theories imply assistive translation tools and this situation forms the basis for the research in translation technologies field.The developments taking place in translation technology research field at an unprecedented pace necessitate the issue to be tackled at theoretical level.In the current paper, by taking the reflections of technological developments in Translation Studies, Translational Action Theory, is re-interpreted and the applicability of the theory on the workflow of Proz.com web site, which is one of the virtual translation platforms, is questioned and different aspects related to translators and translation workflow in Translational Action Theory and Proz.com web site are detected.Although the sample of this research is limited to Proz.com website, the obtained reflections can be adapted to other virtual translation platforms.The further research related to the topic might provide more overarching data to the field.
Disrupting the coming robot stampedes: Designing resilient information ecologies

Machines are designed to communicate widely and efficiently. Humans, less so. We evolved social structures that function best as small subgroups interacting within larger populations. Technology changes this dynamic, by allowing all individuals to be connected at the speed of light. A dense, tightly connected population can behave like a single agent. In animals, this happens in constrained areas where stampedes can easily form. Machines do not need these kinds of conditions. The very techniques used to design best-of-breed solutions may increase the risk of dangerous mass behaviors among homogeneous machines. In this paper we argue that ecologically-based design principles such as the presence of diversity are a broadly effective strategy to defend against unintended consequences at scale.
Context-Aware Trust-Based Access Control for Ubiquitous Systems

The ubiquitous computing and context-aware applications experience at the present time a very important development.This has led organizations to open more of their information systems, making them available anywhere, at any time and integrating the dimension of mobile users.This cannot be done without taking into account thoughtfully the access security: a pervasive information system must henceforth be able to take into account the contextual features to ensure a robust access control.In this paper, access control and a few existing mechanisms have been exposed.It is intended to show the importance of taking into account context during a request for access.In this regard, our proposal incorporates the concept of trust to establish a trust relationship according to three contextual constraints (location, social situation and time) in order to decide to grant or deny the access request of a user to a service.
Effective Service Composition Approach based on Pruning Performance Bottlenecks

In recent years, several online services have proliferated to provide similar services with same functionality by different service providers with varying Quality of Service (QoS) properties.So, service composition should provide effective adaptation especially in a dynamically changing composition environment.Meanwhile, a large number of component services pose scalability issues.As a result, monitoring and resolving performance problems in web services based systems is challenging task as these systems depend on component web services that are distributed in nature.In this paper, a distributed approach is used to identify performance related problems in component web services.The service composition adaptation provides timely replacement of the performance bottleneck source that can prohibit performance degradation for the forthcoming requests.Experimentation results demonstrate the efficiency of the proposed approach, and also the quality of solution of a service composition is maintained.
Multi-Attention Network for 2D Face Alignment in the Wild

Most existing algorithms based on Convolutional Neural Networks (CNNs) for face alignment ignore the significance of attention mechanism. In this paper, we propose a Multi-Attention Network (MANet) for robust face alignment. Our attention mechanism includes multi-level feature attention and multi-scale attention. Multi-level feature attention is introduced for the purpose of paying attention to features of different levels, specifically, high-level feature attentions are essential for correlations among neighboring regions whereas low-level feature attentions focus on detailed description for local parts. While multi-scale attention is designed to obtain better representation the features of different scales. The attentions mentioned above are utilized for better feature presentation and information flow, thus our network is guided to emphasize the key information and suppress the less significant information. The experimental results on 300 W and WFLW datasets demonstrate the superiority of the proposed method over the state-of-the-art approaches.
Socio-Pedagogical Influence on the Process of Socialization of the Individual in a Destructive Environment by Means of Gaming Technologies

In the article, from the standpoint of system and technological approaches, the process of socialization of personality in a destructive environment is considered, which refers to an environment that causes changes, deformations, destruction of a person under the influence of social, spiritual, social and material factors, with the emphasis on the fact that in the absence value dominant of the present, the problem of socialization of personality means of innovative technology is extremely relevant. It is noted that social-pedagogical activity is aimed at providing assistance to the individual in the process of its socialization, developing its socio-cultural experience and creating conditions for its self-realization in a society based on the interaction that accommodates adaptive and regulatory functions; functional-role and emotional-interpersonal views; cognitive, affective and conat (forces, aspirations) components; individual and group forms. It is emphasized that gaming technologies are a collection and a general game shell for any purposeful process, the result and the goal of implementation of which in life is not just an increase in motivation or interest, but a change in the systemic behavior of a person. The principles are highlighted (emphasis on motivation, achievement of purpose, situation of success, feedback, social support), aspects (dynamics, mechanics, aesthetics, communication interaction) of game technologies in the process of socialization of the person.
Steve Martin at SemEval-2019 Task 4: Ensemble Learning Model for Detecting Hyperpartisan News

This paper describes our submission to task 4 in SemEval 2019, i.e., hyperpartisan news detection.Our model aims at detecting hyperpartisan news by incorporating the stylebased features and the content-based features.We extract a broad number of feature sets and use as our learning algorithms the GBDT and the n-gram CNN model.Finally, we apply the weighted average for effective learning between the two models.Our model achieves an accuracy of 0.745 on the test set in subtask A.
PENGEMBANGAN SISTEM AUTENTIKASI PENDAFTARAN ONLINE PASIEN PADA KLINIK CATUR ARIWIBOWO MENGGUNAKAN SMS GATEWAY

Catur Ariwibowo Clinic is one of health services located in Pringsewu district. Registration services that already exist in the clinic is still conventional, by recording on the book that causes stacking of paper in filing cabinets. One of the utilization of SMS Gateway with Gammu technology is by developing patient online registration authentication system. The purpose of this study is to develop a patient online registration authentication system using SMS Gateway at Catur Ariwibowo Clinic. The development of this system is using waterfall method, with the following stages: requirements definition, system and software design,and implementation and unit testing. Functional testing used is Black Box Testing, this test was conducted to find out the system functionality. Researcher use questionnaire to test user satisfaction. Based on the functional test and user satisfaction that has been done, it can be concluded that the system is already running in accordance with its function and 82.56 percent of respondents are satisfied on the system that has been developed.
Mining top-k distinguishing periodic patterns in temporal databases

Distinguishing pattern mining, which is an important task in data mining, aims to find the differences between collections of data. However, the existing distinguishing pattern mining methods fail to consider the problem that some patterns appear regularly in one class of data sets and irregularly in another class, which may lose some interesting patterns. To fill this gap, we propose a new problem named mining top-k distinguishing periodic patterns in temporal databases. We aim to find k patterns with the most significant difference between two classes of data sets with a period constraint. And we introduce an algorithm called kDPP-Miner to solve this problem. Several pruning rules are designed to improve its efficiency. The experimental results in real data sets demonstrate that our algorithm is effective and efficient.
Sistem Informasi Penanganan Keluhan Pelanggan di Rumah Sakit Umum Surya Husadha Denpasar Berbasis Web

The hospital as one of the largest health installations always strives to implement quality services because it has an impact on customer satisfaction and brings in new customers. Customer complaints that are not handled properly will adversely affect the impression of the hospital. The difficulty faced by Surya Husadha General Hospital Denpasar is handling customer complaints that are still manual by wrote to the paper. This method is considered not maximal in efforts to provide handling and managing customer complaints. The purpose of this research is to build an information system for handling customer complaints that can help hospital customer care in managing customer complaints, confirm complaints to the relevant units and validate the actions taken. Customer complaint handling information systems can also produce complaints information that has been handled and has not been handled as well as customer complaints reports based on certain time units. The results of the research indicate that it has succeeded in building a complaints information system that can help customer care in managing customer complaints. The results of black box testing show that the system functions run well.