Reviewerly/exHarmony huggingface dataset:
Expert System of Early Detection of Arthritis with Web-Based Certainte Fector Method: Expert System of Early Detection of Arthritis with Web-Based Certainte Fector Method

Rheumatoid disease is one type of disease that attacks the joints in humans. Patients with this disease if it does not know the type of type of arthritis can cause paralysis. Expert systems in this study is expected to be one of the solutions for the early detection of arthritis in the joints of man. The method used is Certainty Factor, this method can cope with uncertainty in decision-making based on perceived symptoms that have been fed by the user. The purpose of this research is done by means of a comparison between the method of certainty factor with Dempster Shafer, so as to approach the best accuracy value. This expert system is created using the programming language PHP and MySQL database, Created by a web-based system which is expected to facilitate the user in getting information about Arthritis disease. The test results from this journal by comparing the certainty factor method with Dempster Shafer method. The result is the method of Dempster Shafer gain accuracy value of 96% of 50 test data, and the certainty factor method gain accuracy rate of 98% of 50 test data.
Epidemiological and Prognostic Factors Related to COVID-19 in Primary Care in a Municipality in Southern Brazil

The COVID-19 pandemic crisis led to a reflection on health systems in general, addressing the importance not only of equitable, but also universal, care to populations in a global context Numerous ways to identify and propose alternatives to COVID-19 issues are enabled by technological advances, specifically those applied to health This study aimed to investigate COVID-19-related epidemiological and prognostic factors remotely in primary care in the Brazilian public health system The sample consisted of 77 users of primary care who had records of respiratory symptoms during the pandemic, aged between 5 and 83 years The study was carried out in 07 Health Centers in Porto Belo (SC), Brazil Data analysis and subsequent evaluation found a possible demand with symptoms and sequelae of COVID-19 that was shown mainly by users who reported difficulty or “tiredness” in basic Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs), which may result in patients with chronic muscle fatigue and dyspnea as a future demand in the municipality Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda All rights reserved
The Education as a target of Special war

War is no longer a conflict between two armies in the battlefield, or a guerrilla fighting in the jungles â€“ war has become much closer, both physically and metaphysically. The 21st century wars are conducted for hearts and minds, and full control of population. Special war, as a war of the fifth generation, incorporates all parts of social life in order to inflict a significant damage upon the target state. The battlefield is no longer hundreds of thousands kilometres away, it is in our immediate proximity â€“ on the social media networks, the places we visit, the books we read or the schools we go to. Subversive measures of indoctrination and propaganda that have penetrated all pores of the society, are currently directed towards education system as an important element for successful and adequate functioning of the state and its society. This paper discusses education as a target of Special war. The author also analyses the ways in which the education can be misused for the realization of some 'higher goals'.
Pengembangan Sistem Presensi Karyawan Dengan Teknologi GPS Berbasis Web Pada PT BPR Dana Makmur Batam

Attendance record is very important because it can measure the level of someone’s dicipline. Any formal environments definitely use this method to monitor attendance. There are various methods of doing attendance, such as by biometric systems (fingerprint) or through by system. At the beginning, PT BPR Dana Makmur employee’s do attendance with a fingerprint machine. However the presence of coronavirus (Covid-19) caused changes of the attendance method in PT BPR Dana Makmur because the virus can be transmitted through fingerprint. From this problem, researchers tried to develop a web-based presence system to replace fingerprint methods. This application is expected to minimize the spread of the virus at PT BPR Dana Makmur or other company environtment.
PENGGUNAAN MEDIA GAMBAR DALAM MENINGKATKAN KETERAMPILAN MENULIS KREATIF CERITA PENDEK SISWA KELAS XI SMA NEGERI 1 LUWU

Using Image Media to Improve Creative Writing Skills for Class XI Students of SMA Negeri 1 Luwu . his study aims to describe the planning, implementation, and assessment of the use of image media in improving the creative writing skills of students of class XI SMA Negeri 1 luwu. This study uses a classroom action research approach. This type of research is descriptive qualitative. This research was conducted in class XI SMA Negeri 1 Luwu in the 2018/2019 academic year. The data collection technique used in this study was the test technique and observation with two cycles. The data analysis technique used is quantitative and qualitative analysis techniques. The results showed that the use of image media in improving the creative writing skills of short story students of class XI SMA Negeri 1 Luwu was very appropriate as a learning medium. This can be seen in the implementation of planning, implementation, and assessment in cycles I and II which shows that the use of image media in improving short story creative writing skills in class XI students of SMA Negeri 1 Luwu shows significant results which are marked by an increase in the number of students who has a very high and high score category as well as a decrease in the category level of middle and low students. Use of image media in order to improve learning skills Keywords: image media, creative writing, short stories
Implicit Euler method for solving ordinary differential equations/ Julizah Miun, Jean Cynthia Jainol and Muhammad Aidil Hafizi Ahamad

The differential equations (DE) is an equation that is an unknown equation that contains not only the functions but also its derivatives. The equation will become an ordinary differential equation (ODE) if it contains one or more derivatives and independent variables of its function. The ordinary differential equations (ODE) can be solve analytically and numerically. However, not all ordinary differential equations (ODE) can be solve analytically. Because the analytical methods only gives the exact solution while the numerical methods can solve the ordinary differential equations (ODE) by giving the approximation solution. ln this study, it was conducted to solve the first order of five (5) problems ordinary differential equations (ODE) by using Implicit Euler method (IEM) and to compare the results of exact solution and proposed method with different step sizes.There are several steps in order to determine the result which are starting with the Implicit Euler method formula, and then state the ODE equations, implimentation of the method and calculation of absolute error. The MAPLE software are used to help us to solve the problems and get the results.The best solution can be achieved when the step size is smaller. From all the five problems, the results show when the value of step size and the absolute error is small, the accuracy will become higher.
Expert System for Detecting Early Symptoms of Gastroesophageal Reflux Disease (GERD) method Case Based Reasoning (CBR) Using Mobile Android

GERD is a chronic disease that occurs when stomach acid or bile flows into the food tract and irritates its inner walls. Acid reflux and heartburn. Symptoms include heartburn that usually occurs after eating and worsens when lying down. In designing this expert system is an application used to detect GERD disease. The process of helping detect begins with the way the user answers the questions in the form of symptoms suffered by the user. This expert system is based on Android so that it can be accessed anytime and anywhere by the user and this system is built using the Java Android programming language. The conclusions that can be obtained from the results of this study include the blackbox test results showing the features of the application that are made running. An expert system application designed to be able to help detect GERD based on the symptoms entered by the user.
THE PRINCIPLES OF TEACHING ENGLISH FOR YOUNG LEARNERS (A DESCRIPTIVE QUALITATIVE STUDY AT SD BUNGA MATAHARI INTERNATIONAL SCHOOL BANDA ACEH)

Abstract Name:Indah Syafriyana Student No.:1206102020037 Study Program:English Education Title:The Principles of Teaching English for Young Learners at SD Bunga Matahari International School Banda Aceh Keywords: Teaching English, Young learners, Principles This study was aimed to find out the use of teaching technique, teaching media and also to identify whether the teaching process conducted by the teacher was based on the principle of teaching English for young learners. This study used qualitative method through descriptive design. The subject of this study was a teacher who teaches English at grade 3A that consists of 14 students in a classroom. The subjects were determined based on the purposive sampling. The data were obtained from observation. This study was conducted to collect the information about types of teaching technique ( Freeman & Anderson, 2011), teaching media (Harmer, 2007), and also to identify the principles that were used by the teacher in teaching learning process was based on the principles of teaching English for young learners (Richards, 2013). Each of observation checklist consists of 10 items. The findings of this study revealed that the teacher used seven types of teaching techniques, seven types of teaching media and also used all of the teaching principles that were adopted and adapted from Richards (2013). In conclusion, the teacher conducted the learning process based on the principles of teaching English for young learners.
AUTOMATIC SOLAR TRACKER

Energy crisis is the most important issue in today’s world. Conventional energy resources are not only limited but also the prime culprit for environmental pollution. Renewable energy resources are getting priorities in the whole world to lessen the dependency on conventional resources. Solar energy is rapidly gaining the focus as an important means of expanding renewable energy uses. Solar cells those convert sun’s energy into electrical energy are costly and inefficient. Different mechanisms are applied to increase the efficiency of the solar cell to reduce the cost. Solar tracking system is the most appropriate technology to enhance the efficiency of the solar cells by tracking the sun. A microcontroller based design methodology of an automatic solar tracker is presented in this paper.
Generative Auto-Encoder: Controllable Synthesis with Disentangled Exploration

Autoencoders perform a powerful information compression framework with are construction loss and can be a regularization module in different tasks, which has no generative ability itself. We wondering if an autoencoder gains generative ability without using GAN and VAE based modification, which are two mature methods. Here we propose a new method: Disentanglement and ExplorationAutoencoder (DEAE), DEAE using a disentangle and exploration positive iteration achieve semantic controllable synthesis especially controllable mining the novel semantic value. For instance, given only red, green, and blue object color while mining new object color expressions in the image domain. The encoder of DEAE first turn the input sample into a disentangled latent code, then explore the latent codespace by attribute oriented interpolation. To encourage interpolated latent code successfully output a semantically meaningful sample by the decoder, we propose a regularization procedure by ’reuse’ encoder and constrain the output latent value which implicitly improves the quality of the interpolated sample. DEAE can become a generative model and synthesis semantic controllable samples by interpolating latent code, which can even synthesis novel attribute value never is shown in the original dataset. Experiments demonstrate how disentanglement and exploration can boost each other which empowers autoencoder generative ability. We also demonstrate that DEAE can improve the performance of downstream tasks compared with GANand VAE based generative model, especially in controllable data augmentation, dataset bias elimination (Fairness)
Advice for Technology and Security Leaders

Technology and security leaders are appointed to be the stewards of their organization’s digital assets. Building on the habits that we shared in Chapter 9 and the guidance to boards of directors in Chapter 10, we share specific ideas and actions tailored for your role.
Pengelompokan Mahasiswa Berdasarkan Data Akademik Sebelum Kuliah dan Masa Studi Menggunakan K-Medoids

The research objective is to obtain information about the results of clustering that are useful for the campus, especially study programs, to be used as consideration for future admissions by grouping, causing a mismatch between the number of students and the existing campus facilities. This research was conducted at university X which has several faculties, one of which is faculty Y which consists of the R study program, S study program, T study program and U study program. This research uses the K-Medoids method. The stages of this research started with load dataset, data cleaning, data selection, data transformation with one hot encoding, euclidean distance, and k-medoids to produce clusters. Testing the quality of the clusters in this study using the silhouette coefficient. The research resulted in recommended student data and all of them came from Java Island. In the dataset of study programs R, S, and U, the recommended data are obtained with a total number of 9, 57, and 64, respectively, which have an average math score of at least 82. Meanwhile, for the T study program dataset, there are 35 data with an average mathematical value. amounted to 73.89. The test results for the dataset of study programs R, S, T and U are 0.52, 0.67, 0.35, and 0.65 respectively, so the results are quite good.
To What Should Originalists be Faithful

The paper develops a speech act model of linguistic communication with a public derivability constraint on asserted content that applies both to individual and collective speaker-hearers. The model employs concepts from contemporary philosophy of language that allows us to distinguish ambiguity, vagueness, semantic incompleteness, and semantic under-specificity from one another and to apply standard legal and non-legal practices to resolve the resulting interpretive issues. The resulting enrichment of originalist resources allow us to replace original intentions, original expected applications, and original public linguistic meaning in context with original asserted content as that to which originalists must ultimately be faithful. The importance of this move is illustrated by the interpretations of well known statutory and constitutional provisions it makes possible.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM MENENTUKAN PENJAGA GAWANG UTAMA PADA OLAHRAGA SEPAKBOLA

Goalkeeper is one position in the game of soccer, this position is a very special position in soccer where players who are positioned as goalkeepers are allowed to use all parts of their body. Decision Support System (SPK) is a tool in solving problems that are semi-structured or unstructured. Decision Support System itself has several methods that can help in solving problems. One method is Simple Additive Weighting (SAW). The Simple Additive Weighting (SAW) method is a weighted sum method that is found on all the criteria contained in each object or alternative. This study aims to determine that the Simple Additive Weighting (SAW) method can be applied in a web-based application system that is able to assist the coach in determining the main goalkeeper in soccer.
Leveraging affinity cycle consistency to isolate factors of variation in learned representations

Identifying the dominant factors of variation across a dataset is a central goal of representation learning. Generative approaches lead to descriptions that are rich enough to recreate the data, but often only a partial description is needed to complete downstream tasks or to gain insights about the dataset. In this work, we operate in the setting where limited information is known about the data in the form of groupings, or set membership, and the task is to learn representations which isolate the factors of variation that are common across the groupings. Our key insight is the use of affinity cycle consistency (ACC) between the learned embeddings of images belonging to different sets. In contrast to prior work, we demonstrate that ACC can be applied with significantly fewer constraints on the factors of variation, across a remarkably broad range of settings, and without any supervision for half of the data. By curating datasets from Shapes3D, we quantify the effectiveness of ACC through mutual information between the learned representations and the known generative factors. In addition, we demonstrate the applicability of ACC to the tasks of digit style isolation and synthetic-to-real object pose transfer and compare to generative approaches utilizing the same supervision.
Built-in AR Guides

ARKit comes with a few useful built-in guides and tools that can help when developing your first Augmented Reality experiences. We can enable some of these by setting their flag in the SCNDebugOptions when setting up our scene.
Academic Achievement of the Grade 10 Students Through Advanced Computer Assisted Instruction

This action research intended to study the effectiveness of advanced computer assisted instruction (ACAI) on the academic achievement of Grade-10 students of ICT (Information and Communications Technology) subject.  A sample of 20 students of Grade-10 was carefully chosen randomly from San Fabian National High School.  One group Pretest-Posttest equivalent design was used. The group taught advanced computer-assisted instruction.  Because of the pandemic situation of our country it is so hard to meet with the students face to face.  This research was made from online procedure. Index Terms - Advanced Computer Assisted Instruction, ICT, Grade-10.
Chocolate, identity, and extreme speech online

In this article the phrase “extreme speech” is used to encompass both hate speech and impoliteness. Legislation against hate speech has been passed in many countries, while work on defining phenomena related to hate speech is still ongoing. As a rule, there is no legislation prohibiting impoliteness, and thus impoliteness is often perceived as a less serious verbal offence. There is, however, a grey zone between the two phenomena, which depends on contextual factors that must be constantly explored. In this article, we explore the gray zone between hate speech and impoliteness by looking at user-generated posts commenting on seemingly uncontroversial topics such as giving chocolate to children. The context we explore is the political relationship between Croatia and Serbia, two neighboring countries in the southwest Balkans with a history of recent military conflicts that ended in 1995. The relationship between these two countries can still be described as periodically troubled. The comments we analyze were posted on two online newspapers, the Croatian Jutarnji list and the Serbian Večernje novosti. Using impoliteness theory and Critical Discourse Analysis framework we identify and analyze various linguistic means that serve as extreme speech triggers, connect them to relevant contexts and highlight the grey zone that exist between hate speech and impoliteness. Our findings show that, in their discussions, the posters used a number of linguistic means for constructing national identities that at times resulted in extreme speech. The posters often targeted individual co-posters first and very quickly moved on to target ethnic groups, thus fluctuating between impoliteness and hate speech.
Meningkatkan Hasil Belajar dengan Menggunakan Media Charta untuk Materi Sistem Pencernaan Pada Manusia Kelas VIIIA MTSN 2 Way Kanan

This research is aims to improve the results of learning students on the material of human digestive system. This research is a study the class composed of three cycle where every cycle covering the 4 stage nemely :planning, action, observation, and reflektion. The object research is the VIIIA MTsN 2 Way Kanan. The data taken in the form of the results of the competency test a well the sheets observations during the learning. From the analysis that the results of learning student increased significantly. This be seen from teh completeness studens from the results of the competency test on 30 student on VIIIA, the students completely learned as musch 50%(15 students) at the first cycle, then in the second cycle make 75%(20 students) while in the third cycle 80%(24 student).
THE EFFECT OFCONTEXTUAL TEACHING AND LEARNING (CTL) IMPLEMENTATION ON THE STUDENTS’ SPEAKING ABILITY (AN EXPERIMENTAL STUDY AT MTSN 04 PIDIE)

Abstract Name: Ramzi Student No.: 1609200080025 Department:English Education/Graduate Program Title:The Effect of Contextual Teaching and Learning (CTL) Implementation on Students’ Speaking Ability (An Experimental Study at MTsN 04 Pidie) The objective of this research is to investigate whether Contextual Teaching and Learning (CTL) implementation can improve students’ speaking skill at state Madrasah Tsanawiyah 4 Pidie in the aspects of accuracy, clarity and fluency. This research employed a quantitative method in nature. A pre-experimental design with pre and posttest was used. The population of this research was all the second year students of the school. However, the sample of this research was one class of the second year by using purposive sampling technique. The instrument used in this research was speaking test; pre and posttest. The data collected were analyzed using SPSS version 23. The results showed that the implementation of contextual teaching and learning (CTL) improved students’ speaking skill in terms of accuracy, clarity, and fluency. It can be seen from the result of wilcoxon test showed that the value of Asymp. Sig (2-tailed) for accuracy, clarity and fluency is 0.000 which means that the result test is less than a minimum requirements of statistics range (0,05). Therefore, the use of CTL in the teaching and learning speaking is very beneficial for students to improve their speaking skill. Thus, the hypothesis of this research was accepted. There is a significant improvement of students’ speaking skill after they are taught by using CTL. ___________________________________________________________________ Keywords: teaching speaking, CTL, student, accuracy, clarity, fluency
Number-Resolved Photocounter for Propagating Microwave Mode

Detectors of propagating microwave photons have recently been realized using superconducting circuits. However a number-resolved photocounter is still missing. In this letter, we demonstrate a single-shot counter for propagating microwave photons that can resolve up to $3$ photons. It is based on a pumped Josephson Ring Modulator that can catch an arbitrary propagating mode by frequency conversion and store its quantum state in a stationary memory mode. A transmon qubit then counts the number of photons in the memory mode using a series of binary questions. Using measurement based feedback, the number of questions is minimal and scales logarithmically with the maximal number of photons. The detector features a detection efficiency of $0.96 \pm 0.04$, and a dark count probability of $0.030 \pm 0.002$ for an average dead time of $4.5~\mathrm{\mu s}$. To maximize its performance, the device is first used as an \emph{in situ} waveform detector from which an optimal pump is computed and applied. Depending on the number of incoming photons, the detector succeeds with a probability that ranges from $(54 \pm 2)\%$ to $99\%$.