Reviewerly/exHarmony huggingface dataset:
Sistem Pakar Diagnosa Hipertiroid Menggunakan Certainty Factor dan Logika Fuzzy

Hyperthyroidism is a condition when the function of thyroid gland becomes excessive. The excess function of thyroid gland increases thyroid hormone production which affect body metabolism and physiological activity. This study aims to make an expert system diagnose hyperthyroidism with certainty factor and fuzzy logic. The stages of the process of diagnosing hyperthyroidism including problem identification, needs analysis of symptoms and types of hyperthyroidism, determination of rules, system design, case examples implementation, system testing, and evaluation. Variables used were systolic blood pressure, triiodothyronine (T3) levels, thyroxine (T4) levels, thyroid stimulating hormones (TSH) levels, goiter, tremors, and excessive sweating. All variables are processed using fuzzy logic with fuzzyfication stages, rule determination, min implications, max rule composition, and defuzzyfication which then proceed with certainty factor with sequential CF and CF stages. The system output is diagnosis the condition of hyperthyroidism such as hyperthyroidism, subclinical hyperthyroidism, and normal accompanied by a certainty factor. Based on the evaluation result, the accuracy of the expert system according to expert diagnostics is 86.7%
USE OF CERITA RAKYAT NUSANTARA APP IN DEVELOPING ORAL INTERACTION SKILLS

This research paper describes efforts to use the Cerita Rakyat Nusantara app (an interactive e-book of Malay Archipelago Folklore) to help build oral interaction skills among primary 2 students. In an effort to attract digital natives to interact orally in standard Malay Language, it is a challenge for Singapore Malay Language teachers. This task is turning to challenge as there is a need for relevant and appropriate materials to encourage these digital natives to speak proficiently and confidently. This study aimed to see how the use of the Cerita Rakyat Nusantara app could assist build oral interaction skills among the lower primary students (primary 2 students). The study subjects consisted of 23 primary 2 students. Researchers had begun the study by conducting a student survey followed by an oral interactions assessment before students were introduced to the Cerita Rakyat Nusantara app. At the end of the study, students fill out the reflection form. Additionally, six students were also interviewed via video recording. In line with the process of providing students with skills of the digital age, researchers are adopting the use of Information and Communication Technology (ICT) tools to encourage accurate and creative use of language and information. Findings from the study successfully showed students' interest in the featured app. Based on six video recordings of student interviews, they were more confident and proficient to interact after using the Cerita Rakyat Nusantara app as a means to gather ideas. It helps to sharpen the students' listening skills and the process of integrating listening skills with reading, indirectly helps learners' speaking skills as observed from our studies. Overall, the findings suggest that students liked the Cerita Rakyat Nusantara app. In conclusion, the use of the Cerita Rakyat Nusantara app helps build oral interaction skills among lower primary school students based on this critical study.
Open quantum system control based on reinforcement learning

The fast preparation of a quantum state with high fidelity is a key problem for a quantum system. We propose two modified algorithms based on the cutting-edge reinforcement learning methods for the flip from an initial state to a target one in a quantum spin system. The balance between exploration and exploitation and the size of a state space are key factors for reinforcement learning methods. In the first algorithm, we propose a modified $\epsilon$-greedy strategy instead of the ε-greedy strategy to balance exploration and exploitation. Furthermore, we use the fidelity of the final state as the reward and leverage piecewise-constant driving protocols in every duration. The results show that the rate of correction of this algorithm is greater than that of Q-learning with ε-greedy strategy. However, it will still cost much time resource if the rotation angle from a state to the next state is too small. Thus, we initialize the state-action value table to reduce the state space in the second modified Q-learning algorithm (MQL), which can be found that the efficiency of learning is greatly improved.
Including Natural Language Processing and Machine Learning into Information Retrieval

In current paper we discuss the results of preliminary, but promising, research on including some Natural Language Processing (NLP) and Machine Learning (ML) approaches into Information Retrieval.Classical IR uses indexing and term weighting in order to increase pertinence of answers given to users queries.Such approach allows for matching the meaning, i.e. matching all keywords of the same or very similar meaning as expressed in user query.For most cases this approach is sufficient enough to fulfil user information needs.However indexing and retrieving information over professional language texts brings new challenges as well as new possibilities.One of challenges is different grammar, causing the need of adjusting NLP tools for a given professiolect.One of the possibilities is detecting the context of occurrence of indexed term in the text.In our research we made an attempt to answer the question whether Natural Language Processing approach combined with supervised Machine Learning is capable of detecting contextual features of professional language texts.
H-LPS: a hybrid approach for user's location privacy in location-based services

Applications providing location-based services (LBS) have gained much attention and importance with the notion of the internet of things (IoT). Users are utilising LBS by providing their location information to third-party service providers. However, location data is very sensitive that can reveal user's private life to adversaries. The passive and pervasive data collection in IoT upsurges serious issues of location privacy. Privacy-preserving location-based services is a hot research topic. Many anonymisation and obfuscation techniques have proposed to overcome location privacy issue. In this paper, we have proposed a hybrid location privacy scheme (H-LPS), a hybrid scheme mainly based on obfuscation and collaboration for protecting user's location privacy while using location-based services. Obfuscation naturally degrades the quality of service, but provides more privacy as compared to anonymisation. Our proposed scheme, H-LPS, provides a very high level privacy yet providing a good accuracy for most of the users. Privacy level and service accuracy of H-LPS is compared with state of the art location privacy schemes and it is showed that H-LPS could be a candidate solution for preserving user's location privacy in location-based services.
GOOSE: goal oriented orchestration for smart environments

Smart environment scenarios are characterised by the presence of users, with different needs and preferences, and everyday life objects exploited to meet the expectations of users themselves. Connecting objects to the internet and making them accessible from remote is not sufficient to make an environment 'smart' since such ecosystems should also be able to enable context-sensitive actions along with a management of the interaction between objects and users. In this work, we propose GOOSE, a platform which aimed at interpreting users goals expressed in natural language in order to generate, select, and safely enforce a set of plans to be executed to fulfill target goals. After highlighting the main challenges affecting typical machine-to-machine (M2M) communication scenarios, we show how the use of a semantic reasoner can be used to allow the composition of plans consisting of sequences of services to be called on the smart environment objects. Finally, we address the issue of secure communications between platform and objects, and the management of potentially inconsistent goals.
The Cost Effective Data Storage &amp; Multi-Cloud Environment System

Cloud can be utilized to store large application data sets. The pay-as-you-go model is functional for cost effective storing of large volume of generated data sets in clouds along with improvement of storage strategies and bench marking approaches. The main problem concern with it is that most of generated data sets are either impractical or costlier for storage. In the system, a practical storage strategy is proposed to achieve a minimum cost of storing along with Regenerating of Data sets in Multiple Clouds i.e. whether data sets could be stored or deleted along with where to store or to regenerate whenever they are re utilized. It also shows cost effectiveness to gain best trade-off among computation, storage along with bandwidth costs in multiple clouds. The theoretical usefulness of the system is assured by inclusive analysis and rigid theorems. In the given proposed strategy, it can automatically choose if at run time or not the storing of generated data must be done or not. The primary objective of this strategy is Local-optimization for the trade-off between computation and storage. The Secondary objective is associated with the user's preference on storage. In this system we can able to accomplish original along with generated data storage. Also we can utilized data compression for the effectual cost effective data storage in Cloud.
Performance Evaluation of Classification Techniques for Phishing Attack Detection

Phishing attack has been a concerning threat for security experts over the years.The rapid increase and advancement of phishing methods produce a vast challenge in the field of web security.Although several research works has already done and various security mechanisms has been implemented in this field but still people are becoming victim of this attack.Therefore, still there is a need of some productive techniques which can prevent phishing attacks.Broadly Phishing attack exists into two forms first is in the form of phishing emails and secondly in the form of phishing websites.This paper evaluates and studies various classification algorithm performances for the detection of phishing websites.Experimental work is carried out using the data set of phishing websites from UCI Machine Learning Repository.Performance comparison among different classification algorithms is done by using Weka 3.8.tool over the dataset.
The Characteristics of Assessment Instrument Model In Learning Indonesian Language

Assessment problems are still a major problem in the implementation of the 2013 curriculum even though they have been implemented for years.Based on several studies it is known that most teachers cannot design, develop instruments, implement, manage, report, utilize the results properly.The main difficulties experienced by teachers are formulating indicators, organizing instrument items, and making assessment instruments.Thus it is deemed necessary to develop an easy and applicable assessment instrument to help teachers make authentic assessments in learning Indonesian.The first step that must be done is to analyze the needs of teacher and student teachers.Preliminary surveys show that teachers and students need transparent and accountable assessment instrument models.The model can be used as a teacher's reference in conducting assessments.This model is expected to improve the competence of the 21st century: to think critically and solve problems, collaborate and communicate, and to enhance creativity.The characteristics of the model are concluded from the needs analysis carried out through survey, interview, and observation.
The Pottery from the Sargarinsko-Alekseevsky Burial Ground of Karatugay

The article considers the results of studying the technology of pottery manufacturing at the Sargarinsko-Alekseevsky burial ground of Karatugay (Central Kazakhstan). By the method of A.A. Bobrinsky using a MBS-10 binocular microscope, 10 archaeologically intact and fragmented vessels have been studied. The information has been obtained on the characteristics of the material, the preparation of molding compound recipes, the methods of constructing the beginning and hollow body, surface treatment, and firing conditions. A set of basic pottery traditions has been defined (selection of raw materials – medium-iron plastic clay with a natural admixture of oolitic brown iron ore; molding mass recipe – medium / large wood pulp at a concentration of 1:5 + small medium-iron chamotte at a concentration of 1:5 + manure; capacitive program; constructing a hollow body in a patchwork-lumpy way), imported vessels have been identified, the sequence of burials has been established. It is shown that the population who left the site lived together with representatives of the Irmen culture.
Resources: Mathematics Grades 4-6: 3-D Objects and 2-D Shapes

This guide contains interactive activities and videos that can used with the Math curriculum from Grades 7-9.
Meningkatkan Kemampuan Meringkas pada Mata Pelajaran Bahasa Indonesia dengan Latihan Bervariasi di Kelas IV SD Negeri 196/IV Alam Barajo Kota Jambi

This study aims to improve students 'ability to summarize with the use of varied exercises in improving students' ability to summarize Indonesian language subjects in grade IV 196 / IV State Elementary School in Alam Barajo, Jambi City. As for the assessment of reading ability include: (1 ) Able to read the readings to be summarized properly (2) able to comprehend the contents in full to the summaries to be read (3) to be able to find main ideas or sentence topics in the reading that will be summarized and (4) able to rearrange ideas or topic sentences that have been found to be a complete writing. The results of the research in each cycle about students' ability to summarize. In the first cycle the ability of students to summarize the average value of 52, the action of the second cycle reached an average of 62.19. At the cycle III the learning outcomes of students' ability to summarize with an average value of 77.24. By paying attention to the results of the research carried out, the abilities obtained by the students above increase in each cycle carried out for it. It is expected that Indonesian grade 4 elementary school teachers can use varied exercises can improve students' ability to summarize using varied exercises, so students can summarize well.
SILENCE OF STUDENTS IN EFL CLASSROOM AT ATDS

This study was aimed at examining the Silence of students in EFL Classroom. The objectives of this study were to find out the types and the reason of silence is used by students in Industry Engineering. This study was conducted by descriptive qualitative method. The source of data was recording and interview. The technique of data collection was recording and interview. The technique of data analysis was interactive model by Miles, Huberman and Saldana (2014). The findings of the study showed that: ATDS students in EFL classroom just uses 9 types out of 12 types of silence. They are: (1)The wise or virtuous silent, (2) The modest silent,(3)The cunning silent, (4)The eloquent silent, (5)The dumb founded silent, (6) The culpable silent, (7)The strong silent, (8)The weak silent, (9) The dead silent.Keywords: Silence, EFL Classroom
STUDY OF KHERSON STATE UNIVERSITY STUDENTS AND TEACHERS' ATTITUDES TO THE USING OF ICT

The article aims to explore lecturers and students’ requirements towards the ICT use in higher education institutions, to identify their problems in the ICT use in teaching, communication and research. Using a questionnaire we investigate the reliability of electronic educational sources, the kind of access to course learning materials, the ICT use in lectures, practical classes, individual work, consultations and control. The results of the survey showed that there is a mismatch between students’ need to have blended learning and lecturers’ ability to satisfy it. The lecturers and students assessed the overall ICT impact on the learning process. We found out that the lecturers believe that the educational process with ICT facilities becomes more complicated. For them it requires more digital skills, much time to create and maintain the blended courses. But students believe that ICT enhances learning, making it easy and more interesting. Thus involving students in education is considered now as providing them with convenient open access to learning materials. Their learning should easily combine traditional and digital technologies. The main problems of the ICT use in teaching are reviewed and ranged. The most common barriers are related to the lack of technical skills, lack of time, and perceived risks (intellectual property, loss of privacy, plagiarism). But besides personal barriers there are organizational and infrastructure ones. Education is changed greatly with the ICT use both in teaching and learning. To provide a new educational environment, university teachers should master necessary digital skills, establish international scientific and educational collaboration, combine face-to-face learning with e-learning (create blended courses, interactive learning systems etc.).
Fabrication and Performance Analysis of a Higher Efficient Dual-Axis Automated Solar Tracker

In this work, a dual-axis automated solar tracker is developed by using two linear motors, four light dependent resistors (LDRs) and two mono crystalline solar panels. The LDRs are placed on the rotating frame where the solar panels are placed to detect the position of the sun and the controller circuit drives the motors to place the frame towards the sun. The controlling unit has been developed using PLC microcontroller. The motor driver circuit has been designed using a code to align the solar panels to a suitable position so that it is exposed to the maximum amount of solar irradiance. The driver circuit receives data from the LDRs and the microcontroller controls the motors to move the panel along its horizontal and vertical axis. To evaluate the performance of the solar tracker, output power of the solar tracker and an identical set of static solar panels set in an optimum fixed orientation are measured from the open-circuit voltage and the short circuit current for two consecutive days. The output power produced by the automatic solar tracker was consistently higher than that by the static solar panel. The energy gain due to using the automatic solar tracker is at highest in the morning and in the afternoon at almost 40%. The lowest value of energy gain is observed during noon at as low as 1%. The average increase in output throughout the day is 24.09%.
Analysis of Merra-2 Climate Data for Hillah City Iraq

Climate change became an important filed of research.It is believed that climate change may be one of the greatest threats facing the Earth's ecosystem.Recent years show increasing temperatures in various regions and/or increasing extremities in weather patterns.This research explore the trends in various weather elements over the Hillah city in central Iraq using Merra-2 data for 37 years .The results indicated that the most affected elements by climate change were the temperature and precipitation.Temperature trend is increasing while precipitation is slightly decreasing over the 37 years period.Other weather elements such as atmospheric pressure, relative humidity and wind showed no distinct trends and their patterns are those of arid and semi-arid regions.Low-pressure patterns and dry conditions during Summer and high-pressure patterns and wet Winter.The wind during Summer is higher than its values during Winter.The wind direction is mostly Northwesterly.
Formation of design competences in students in the course of development of a subject matter of "Basics of project activities"

The article is devoted to the description of the pedagogic potentials of the discipline Basics of project activities. The discipline is the first component of the general system of preparing university students for project activities. The discipline allows informing students about the theoretical basis of design and creates the conditions for the acquisition of the first skills of the project activity. The article describes the structure and content of the discipline, technology and methods of its implementation. The author presents the results of a survey of students on the basis of the development of the discipline. The students appreciate the content, technology, teaching skills of the lecturer and pedagogues, leading practical classes. The author presents a vision of the development of discipline teaching methods.
Smart Way to Control Obesity using Telemedicine Method

Obesity demonstrates a weight more noteworthy than what is viewed as solid. It is an unending condition characterized by an abundance measure of muscle versus fat. Obesity is best characterized by utilizing the BMI.
A Geoinformatics Approach to Assess Land Use Dynamic and Landscape Fragmentation Due to Opencast Coal Mining in Raniganj Coalfield, India

Land use dynamics and landscape patterns have always been prime themes of global change research (R.H.U.& Suocheng, D. 2013).Anthropogenic changes in the form of opencast mining make the ecosystem more sensitive and fragmented.Miscellaneous mining aids like dumper, dozer and dragline caused enormous amount of land degradation.Indeed the degraded land covers are fragmented in due course of time.Raniganj coalfield area has a complex land use land cover fragmentation scenario due to opencast mining and associated development activities since 1960 (Das, G. & Das, R. 2016).Arc GIS and fragstats software is used in order to measure the class level and landscape level fragmentation of different landscapes in Raniganj coalfield and adjoining area since last 40 years.Results denote that most of the landscape classes have become fragmented and isolated.The areas of forest, agricultural land, excavated land and urban tend to be complex in their shape and spatial clustering.The shapes of other land class patches have become less complex, but overall landscape fragmentation has increased during last 25 years.Contrary landscape diversity and heterogeneity have also been increased within only 20 years especially in Sonepur Bazari, Satgram, Sripur and Khottadih area.Therefore it is urgently essential to understand and compute the land use fragmentation process in Raniganj mining area.
Sistem Informasi Akreditasi Program Studi di Fakultas Ilmu Komputer dan Teknologi Informasi Universitas Mulawarman

The study program is organized based on the curriculum so that students capable the knowledge, attitudes, and behavior accordingly. Accreditation is a comprehensive process of evaluation and assessment of commitment to the quality and capacity of implementing a tertiary Tridarma program, to determine the feasibility of a study program to hold its academic program. Decisions regarding quality are based on evaluation and assessment of various evidence with the standards set by Accreditation from National Accreditation Board for Higher Education (BAN-PT). Accreditation is a reflection of the totality of conditions and input characteristics, processes, outputs, results, and impacts, or performance. Study Program Accreditation Information System of Mulawarman University's Faculty of Computer and Information Technology (FKTI) is an application that is used to facilitate assessment based on BAN-PT forms standards and effort to readily implement study program accreditation to improve the quality value of accreditation. This research developed information system accreditation study program that facilitates the assessment and preparation of data internally as well as being able to store, distribute and adjust evidence according to quality standards BAN-PT forms instruments. With existence of an accreditation information system, it is expected to increase productivity, effectiveness and efficiency to achieve good quality accreditation numbers. Keywords : information system , accreditation , study program , quality , BAN-PT