Reviewerly/exHarmony huggingface dataset:
Machine Learning Based on Cloud Solutions

Cognition is a domain of thinking creatures, isn't it? Based on that computers cannot learn anything more than was in the initial data feed. In this article, I just want to defend that nowadays technical solutions can break this rule. The aim of this article is to provide a short technical overview what Machine Learning (ML), Artificial Intelligence (AI) and Neural Networks (NN) were before in the area of standalone gigantic servers, and how do they look now in Cloud Computing (CC) times. The ML paradigm is not any more reserved for big enterprises only but now is available for single internet user. I just want to present AWS and Azure, as the biggest CC providers, functionalities and potential usage of such Cognitive Services (CS) in current internet services. The great example is for instance bot usage instead of diving deep in the FAQ on the company website or digging into the corporate wiki. Another big area is graphics analysis and sound or text recognition. Those are only examples of predefined CC functions ready for use right now in the public cloud.
Ecuaciones funcionales lineales para funciones analíticas en el bicírculo. Uniformización, automorfismos. Análisis del caso con cuádrica.

Initially, the article presents a brief synthesis about certain types of linear functional equations of ℂ2 in the bicircle and its solution search scheme. Then we have a detailed study of a certain type linear functional equation with kernel
I Want to Break Square-free: The 4p − 1 Factorization Method and Its RSA Backdoor Viability

We analyze Cheng’s 4p - 1 factorization method as the means of a potential backdoor for the RSA primes generated inside black-box devices like cryptographic smartcards. We devise three detection methods for such a backdoor and also audit 44 millions of RSA keypairs generated by 18 different types of cryptographic devices. Finally, we present an improved, simplified and asymptotically deterministic version of the method, together with a deeper analysis of its performance and we offer a public implementation written in Sage.
Towards a customizable Student Information System integrating MDD and SPL (S)

Student evaluation criteria is a non-trivial variation point in a Student Information System software product line.It can vary significantly in different institutions, or even in different areas of a specific institution, and also over time.This paper presents a highly flexible model-driven development solution to incorporate and change one or many different evaluation criteria in each specific product of the line, where a domain expert should be able to model each set of student evaluation criteria, and automatically transform it into software code, without involvement of software engineers.For this purpose, we created a domain-specific modeling language DSCHOLAR and a model-tocode transformation dscholar2Code to model and automatically implement such a software component.They were both validated using a case study and proof of concept, respectively.
An innovative web-based tool to solve group marking issues

Group/Team work is an important element in most (if not all) courses in higher level education. Assessment of group work has always been challenging with potential problems. Problems include inconsistent marking processes and potentially unfair scoring/grading methods. Our study reviewed group marking processes across several courses including software engineering, computing, business computing, web technology and security within one university. The key challenge faced by all is: “How can the marks from a lecturer and students within a group be combined in a fair way to produce a single score for each student?”. We discuss preliminary results of evaluating a tool that has been developed to tackle the above challenge.
Intelligent Agents that Support Students with Self-Study

University students are expected to study on their own for large amounts of time. However a lot of these hours are not spent effectively by students. Eventually students who have trouble with self-studying in an effective manner may end up failing courses because of this. When students realise they have a (self-study) problem they can seek aid by contacting the academic counsellor. However, there are problems with this workflow: students often need time to acknowledge they are having issues. Then, even when students contact the academic counsellor to get help, it is a difficult task to provide personalised support for each student. In this thesis we investigate the feasibility of a self-study support agent that can assist students with feedback on their self-study behavior. This agent can support students next to the academic counsellors. An agent can continuously track students and provide immediate feedback, whereas counsellors have a limited amount of time available (per student). As part of this thesis we conduct a focus group with academic counsellors, organise a workshop with first year students to create a design for a prototype self-study support agent. Thereafter we implement this prototype and use this in an experiment where the activities of several first year students are tracked over the period of two weeks. Then we analyse the data collected with our prototype agent. In doing so we show that the concept of the self-study support agent is feasible. We envision that future work can realise actual deployment of a self-study support agent.
&amp;lt;i&amp;gt;Classification of pig stress condition using paraconsistent logic &amp;lt;/i&amp;gt;

<b><sc>Abstract.</sc></b> <b>Pork is the most consumed meat worldwide, and there is the need for producer countries to relay on complying with the animal well-being international norms. The present study aimed to develop a software that predicts stress in the piglet using the vocal calls emitted during stressful conditions (cold/heat, pain, hunger, thirst). The stress-free piglet was considered the baseline (normal). Vocal signal intensities were extracted from 40 piglets exposed to the stress. The stress conditions considered were heat stress, pain, thirst, and hunger. The database was organized, and the paraconsistent logic was applied to solve the uncertainties generated with the overlap of the intensity of the vocal signals. Results indicate that the most accurate prediction was for the pain (93.1%). The less accurate prediction was for the sound piglet (normal). Although using the solution for resolving most of the uncertainties and overlapping, only the stress by pain was readily detected as the vocalization due to pain has a high intensity and a long duration. Further research connecting the vocal signal and other recorded pattern are needed to improve the accuracy of the stress predicting process.</b>
Social Competences In Higher Education – History, New Technologies And Positive Human Interaction

The higher education is the final step of the student’s professional training in a specific domain. But the university must prepare him/her to be integrated in a social and cultural space, certainly, different from ethnic and human perspective. This means be able to accept, relate and collaborate with different people. Frequently, the virtual space and electronic technology are more attractive and useful for both communicating each other and knowing, working together. This perspective of understanding the higher education imposes even another requirement: the interdisciplinarity as a solution for develop the positive relationship between people and countries. Thus, History and New technologies can be a strong motivation for breaking or develop the social, interpersonal, politic or cultural dialogue. Our study starts from the premise that the discrimination and violence are often caused by un-, or bad knowing, by the ethnical stereotypes, wrong communication and unsocial reactions. In this respect, it is very important focusing the education on the contents and subjects which encourage collaboration with the other, communication and social interaction. The paper is based on the systematically observations made during the activities with students who working on a degree in history domain. The paper proposes some theoretical and methodological aspects for develop the social, communication and interaction competences of the students, the attitudes and values by the cooperation in the learning activities, also. Our methodological proposes, recommendation, tools and methods are some good examples to diminish the interpersonal conflicts.
A computerised framework for characterisation of breast tissue using mammographic images

In this study various experiments have been conducted for four-class and two-class breast tissue pattern characterisation using various texture feature models in transform domain. These experiments have been conducted on 480 mammographic images taken from the DDSM dataset. From each image, ROI of predefined size 128 × 128 pixels has been extracted from the core location of the breast tissue where remarkable amount of glandular tissues are found. Various statistical parameters have been computed from each ROI using transform domain texture feature models. The computed texture feature vectors are passed to the classification phase. The classification phase is consisted of SVM classifier. From the exhaustive experiments conducted in this study, it can be concluded that the maximum accuracy of 86.2% has been obtained for four-class breast tissue characterisation and the maximum accuracy of 91.2% has been obtained for two-class breast tissue characterisation.
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection

The occurrence of malignant melanoma had enormously increased since past decades. For accurate detection and classification, not only discriminative features are required but a properly designed model to combine these features effectively is also needed. In this study, the multi-tree representation of genetic programming (GP) has been utilised to effectively combine different types of features and evolve a classification model for the task of melanoma detection. Local binary patterns have been used to extract pixel-level informative features. For incorporating the properties of ABCD (asymmetrical property, border shape, color variation and geometrical characteristics) rule of dermoscopy, various features have been used to include local and global information of the skin lesions. To meet the requirements of the proposed multi-tree GP representation, genetic operators such as crossover and mutation are designed accordingly. Moreover, a new weighted fitness function is designed to evolve better GP individuals having multiple trees influencing each other’s performance during the evolution, in order to get overall performance gains. The performance of the new method is checked on two benchmark skin image datasets, and compared with six widely used classification algorithms and the single tree GP method. The experimental results have shown that the proposed method has significantly outperformed all these classification methods.
Clustering and Classification

OptimizationOptimization is another important tool that helps in defining, designing, and in model selection in various machine learning tasks including dimensionality reductionDimensionality reduction, clustering, and classification. We discuss, in this chapter, the role of optimization in feature selectionFeature selection, feature extractionFeature extraction, clustering, and classification.
PENGELOLAAN INFORMASI PENYELENGGARAAN CONFERENCE TERPADU DI UIN AR-RANIRY BANDA ACEH DENGAN APLIKASI OPEN CONFERENCE SYSTEM (OCS)

This research was motivated by information media in holding a conference at UIN Ar-Raniry which was considered to be still less effective in disseminating conference information to be held. Information on organizing conferences in UIN Ar-Raniry is not integrated in one system or is still distributed separately. The application of the Open conference system (OCS) as an integrated media for organizing conference information in UIN Ar-Raniry is expected to have a very good impact. Open Conference System (OCS) is an open source Content Management System (CMS) created by the Public Knowledge Project (PKP) and developed again by researchers using the Research and Development (RnD) method with the Extreme Programming development method. The results of the development of this system are tested using the User Acceptance Test (UAT) method that uses the Linkert technique as the scale. This test involved 38 respondents from 19 study programs throughout the faculties at Ar-Raniry UIN. The test results obtained an average value of 4.04 with a percentage of 80.8% which means that respondents strongly agree with the system developed.
The conditions of formation of Au–Ag epithermal mineralization of the Amguemo-Kanchalan volcanic field (Eastern Chukotka)

The article considers the conditions of formation of Au–Ag epithermal mineralization of the Amguemo-Kanchalan volcanic field (AKVP), located on the Western closure of the East Chukchi flank zone of the Okhotsk-Chukchi volcanic belt (OCHVB). In the AKVP potentially large Au–Ag Valunisty mine and several perspective deposits and ore occurrences (Zhilnoye, Shah, Gornoye, Ognennoye and Osennee) are localized. The results of thermo- and cryometric studies of fluid inclusions in quartz and calcite of epithermal veins showed that the solutions was dominated by chlorides Na and K. Epithermal mineralization was deposited by heterogeneous hydrothermal fluids with low salt concentrations (0.2–3.6 wt. % equiv. NaCl, in medium-temperature conditions – 174–354°C). The fluid pressure reached 30–160 bar, which corresponds to the formation depth of 0.1–0.6 km, under hydrostatic conditions. The obtained results allow us to attribute the studied epithermal mineralization to the low sulfidation class. The magmatic hearth of andesitic magmas and meteoric waters are the most probable sources of ore-forming fluids. The information given in the article is of practical importance for regional forecast-metallogenic constructions, prospecting and evaluation of epithermal Au–Ag deposits.
An evolutionary model for dynamic and adaptative service composition in distributed environment

Service composition is an important mean for integrating the individual Web services to create new valueadded systems that satisfy complex requirements.Therefore, how to effectively analyze different types of services and find out the matching similarity between services to efficiently substitute failed services in a distributed and dynamic environment becomes crucial to service composition.In this paper, we propose a novel approach based on a data cell evolution model (DCEM) to support the dynamic adaptation of service compositions.The model combines data service information and biological cell behavior analysis to encapsulate data services into data cells.In order to reach optimum adaptations, we analyzed the static and dynamic structure of data cells based on bigraph theory to guarantee the consistency of service evolution.To evaluate the proposed approach, a series of simulation experiments and comparisons are conducted to demonstrate the effectiveness of service composition.
Contribution of Learning Attitudes and Learning Motivation to Writing Skills of Exposition Discussion XI Class 1 Batipuh State Vocational School Student

CONTRIBUTION OF LEARNING ATTITUDES AND LEARNING MOTIVATION TO WRITING SKILLS OF EXPOSITION DISCUSSIONXI CLASS 1 BATIPUH STATE VOCATIONAL SCHOOL STUDENT Delfa leli 1, Atmazaki 2  Abdurahman 3Indonesian Language And Literature Education Study ProgramGraduate programPadang State UniversityE-mail: delfaleli03@gmail.com ABSTRACTThis study aims to determine the contribution of learning attitudes and learning motivation towards Writing Skills in Exposition Essay of Class XI Students of State Vocational High School 1 in Full 2015/2016 Academic Year. This research is a type of correlational research. The population in this study were all students of class XI of SMK Country 1 Batipuh which amounted to 187 students by taking samples from members of the population obtained a sample of 65 students. The instruments of this study were questionnaires and performance tests. The results of the validity test of the student learning attitude questionnaire obtained 30 items that were declared valid from 28 items tested. The results of the reliability test obtained a value of r_11 of 0.926, it was concluded that the research instruments used were reliable / reliable. While the learning motivation of the results of the validity test of student learning motivation questionnaire obtained 35 items that were declared valid. The results of the reliability test obtained a value of r_11 of 0.973, it was concluded that the research instruments used were reliable / reliable. The technique of analyzing research data using the Kolmogorov-Smirnov test, multiple correlation test, t test, F test, and determinant coefficient formula.The results of this study are as follows. (1) The attitude of learning contributes to the skill of writing exposition discourse by 10.0%. (2) Motivation to learn contributes to the skill of writing exposition discourse of 14.2%. (3) Learning attitudes and learning motivation together contribute to the skill of writing exposition discourse of 20.5%, in the description of reading habits including more than adequate categories and student learning motivation including more than adequate categories. Conclusions of this study (1) Learning attitudes contribute and a significant positive relationship to exposition discourse writing skills, (2) learning motivation contributes and a significant positive relationship to exposition discourse writing skills, and (3) reading habits and learning motivation together -sama contributes and has a significant relationship to the skills of writing exposition discourse. Keywords: Learning Attitudes, Learning Motivation, and Writing Skills
Modifikasi Algoritme Bellman-Ford Untuk Pencarian Rute Terpendek Berdasarkan Kondisi Jalan

The application of the Bellman-ford algorithm for finding the shortest path both weighted and unweighted graph has a weakness in determining the shortest path based on road conditions. This study modified the Bellman-Ford algorithm by adding the Technique for Order of Preference by Similarity to the Ideal Solution method to provide alternative road assessments based on its condition criteria including road density, road width, travel time, and distance. This modified Bellman-Ford has better performance in finding the alternative shortest path by choosing a road with smoother conditions, even though distance and travel time increase.
Smart Finger Gesture Recognition System for Silent Speakers

Silent speakers face a lot of problems when it comes to communicate their thoughts and views. Furthermore, only few people know the sign language of these silent speakers. They tend to feel awkward to take part any exercises with the typical individuals. They require gesture based communication mediators for their interchanges. The solution to this problem is to provide them a better way to take their message across, “Smart Finger Gesture Recognition System for Silent Speakers” which has been proposed. Instead of using sign language, gesture recognition is done with the help of finger movements. The system consists of data glove, flex sensors, raspberry pi. The flex sensors are fitted on the data gloves and it is used to recognize the finger gestures. Then the ADC module is used to convert the analog values into digital form. After signal conversion, the value is given to Raspberry Pi 3, and it converts the signals into audio output as well as text format using software tool. The proposed framework limits correspondence boundary between moronic individuals and ordinary individuals. Therefore, the recognized finger gestures are conveyed into speech and text so that the normal people can easily communicate with dumb people.
IDEATIONAL MEANING ANALYSIS IN ANALYTICAL EXPOSITION TEXT WRITTEN BY THE ELEVENTH GRADERS OF SMA NEGERI 1 MAGELANG IN THE ACADEMIC YEAR 2018/2019

In this paper, the writer focuses on the ideational meaning in the eleventh graders composition of analytical exposition text. The objectives of this study are to know the process types used and to know the dominant process type used in analytical exposition text written by the eleventh graders of SMA Negeri 1 Magelang in the academic year 2018/2019. The type of this study is qualitative, so the writer analyzes the data through descriptive qualitative. The subject of this study was the eleventh graders’ analytical exposition text in XI Social 2 of SMA Negeri 1 Magelang in the academic year 2018/2019. The writer took 12 analytical exposition texts which were analyzed and collected by documentary technique. The result revealed that the total numbers of processes are contributed into six process types. Those are material processes, mental processes, behavioral process, verbal processes, relational processes and existential processes. Thus, the dominant process type is relational process which are divided into attributive processes and identifying processes. Students mostly used relational processes to give their idea about phenomenon discussed in their analytical exposition texts. Finally, the writer suggests the teacher to master ideational meaning and explain more about the lexicogrammatical feature used in analytical exposition text so that the students can compose qualified writing.
Upaya Meningkatkan Hasil Belajar Ips dengan Menggunakan Metode Pembelajaran Learning Start with a Question pada Peserta Didik Kelas VII-A MTS Miftahul Jannah Palangka Raya

This study aims to find out: (1) How to increase the learning activities of students when using the learning method of Learning Start With a Question (LSQ) on social studies learning in class VII-A MTs Miftahu Jannah Palangka Raya, (2) Is there an increase in social studies learning outcomes students after using the learning method Learning Start With a Question (LSQ) in class VII-A MTs Miftahul Jannah Palangka Raya. The research method used in this study is the Classroom Action Research (CAR) method. The research subjects were class VII-A MTs Miftahul Jannah Palangka Raya with subjects as many as 24 students. Data collection techniques in this study used observation and tests. Data analysis techniques are based on the results of each learning process cycle. The results of this study are: (1) an increase in learning activities when using the Learning Start With a Question (LSQ) learning method for students of class VII-A MTs Miftahul Jannah Palangka Raya Tahun to be better, namely the score of learning activities of students in the first cycle Individuals have 15 students who get a score of = 75, and 9 students who score &lt;75 with an average score of 2.67. Scores of learning activities of students in the second cycle there were 23 students who obtained a score of = 75, and 1 student who scored &lt;75 with an average of 3.86, so that the learning activities of students in the second cycle had been categorized as good or already achieving indicators of success, (2) There is an increase in social studies learning outcomes after using the Learning Start With a Question (LSQ) learning method for students of class VII-A MTs Miftahul Jannah Palangka Raya. This can be seen from the data on student learning outcomes during the pre test obtaining an average value of 30.20 with completeness in classical 0%. Post test cycle I obtained an average score of 78.95 with completeness in classical 62.5%, and in cycle II increased with an average value of 90.41 with classical completeness 95.83%.