Reviewerly/exHarmony huggingface dataset:
Pemetaan Tingkat Kemiskinan di Provinsi Jawa Tengah Berdasarkan Kabupaten/Kota dengan Metode K-Medoids

Poverty describes a condition of lack of ownership and low income, or in more detail describes a condition that basic human needs cannot be fulfilled, namely food, shelter, and clothing. In the last ten years, Central Java's poverty reduction performance has had its ups and downs, with rural poverty still dominating. The purpose of this research is to conduct a mapping analysis in the form of clusters on the number of poverty levels in districts or cities in the province of Central Java using artificial intelligence techniques. Given that Central Java is the third most populous province after West Java and East Java. This needs to be done in order to obtain a macro picture of the poverty level over the last few years through regional mapping. The dataset used is sourced from the Central Java Statistics Agency (BPS) website on the subject of the number of poor people (thousands of people) in 2017-2019. The solution given in conducting mapping in the form of clusters is the K-Medoids method which is part of clustering data mining. The number of clusters used are high and low clusters in mapping the number of poverty levels. The mapping analysis process uses the help of RapidMiner software. The results showed that 6 provinces (17%) were in the high cluster and 29 provinces (83%) were in the low cluster. The final centroid values for each cluster are {293.2, 309.2, 343.5} in the high cluster (cluster_1) and {18.6, 19.4, 20.1} in the low cluster (cluster_0). The results of the mapping can be useful information for tackling the poor where the high cluster (cluster_1) is a priority for the government in the province of Central Java, namely Cilacap Regency, Banyumas Regency, Kebumen Regency, Grobogan Regency, Pemalang Regency, Brebes Regency
LIFESTYLE CHANGE AS A TREATMENT FOR TYPE 2 DIABETES:

INTRODUCTION Lifestyle Medicine (LM) studies the illness process related to lifestyle habits and fosters interventions aiming to prevent and treat chronic diseases such as type 2 diabetes (T2D), which is a metabolic dysfunction closely related to individual lifestyle habits. OBJECTIVE to search the literature for references on lifestyle as a therapeutic approach in patients with Type 2 Diabetes Mellitus. METHODOLOGY this is an integrative review of the scientific literature with a qualitative approach, carried out in July 2021, with a search for articles between 2015-2021 in the various databases. RESULTS AND DISCUSSION 13 articles were included in this review and they showed the relevance of lifestyle change for DM2 prevention and remission. In this sense, weight loss must be prioritized and the treatment covers dietary pattern changes, physical activity, stress control, mental health, and health education promoting self-care for DM2 patients. FINAL CONSIDERATIONS after considering and understanding the advantages of the LM approach in the treatment of DM2, this topic should be increasingly discussed, thus creating new perspectives regarding the health care and quality of life of patients.
Efektivitas E-Learning dalam Pembelajaran pada Pelajar Siswa SMA Negeri 13 Medan

This study aims to obtain information about the effectiveness of e-learning as a learning medium, especially for students of SMA Negeri 13 Medan. The methodology used is quantitative with interview data collection techniques and questionnaires conducted online. Based on the research findings, it shows that students respond well to the knowledge they know about e-learning. Although students respond well, there are obstacles that can hinder the effectiveness of e-learning as a learning medium, such as internet facilities for students who depend on internet and network packages to access e-learning itself. e-learning in learning becomes more effective.
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings

Motivation: Bayesian Deep Learning promises good uncertainty estimates, but methods often rely in approximations, and real-world datasets have issues not present in academic benchmarks (like CIFAR10, Fashion MNIST, ImageNet, etc), such as low number of samples.Evaluating the quality of output uncertainty is difficult as there are no labels.In this paper we evaluate uncertainty quantification methods as the size of the training set is varied, to simulate real-world datasets.Approach: We take random subsamples of CIFAR10 and Fashion MNIST training sets and train several uncertainty methods (7 in total), evaluating on the corresponding test set.We measure accuracy, expected calibration error, entropy, maximum probability, and out of distribution detection AUC (with SVHN and MNIST), as the training set size is varied.Contributions: We compare uncertainty methods across different training set sizes, showing that confidences do not accurately portray model uncertainty.We show that ECE and OOD detection degrades with small training sets.We provide evidence for practitioners to select uncertainty methods and give future research directions. Key Takeaways from Overall ResultsAll methods except gradient, across all training set sizes, are well calibrated on the training set, but miscalibrated
Generation of Yin-Yang-Pattern-Like Images by Iterative Calculation Using DoG

We propose a non-photorealistic rendering method that converts photographic images into Yin-Yang-pattern-like images represented by smooth curved black and white areas. The proposed method applies two Gaussian filters with different parameter values (Difference of Gaussian: DoG) to photographic images, calculates the difference between the two smoothed images, and adds the difference to photographic images.&nbsp; By repeating the process, Yin-Yang-pattern-like images are generated. In order to verify the effectiveness of the proposed method, we performed an experiment using Lenna image, and visually confirmed the changes Yin-Yang-pattern-like images generated when the values of the various parameters were changed. In addition, we performed an experiment using various photographic images.
Advantage And Methodological Problems Of Teaching Computer Science In Modern Schools

The main task of scientists and teachers is to inform students about current issues in today's rapidly evolving information and communication technologies.The reason is that science is developing so fast that if this knowledge is not delivered to students today, it may become obsolete tomorrow.Scientific and practical conferences held in educational institutions also play an important role in the implementation of such important tasks.
The Use of Genre Based Approach in Training and Mentoring for Improving Argument Skills in Research Articles Journal Writing for Social and Humanity Authors

Argumentation in writing research articles is very crucial for showing the position of authors in a certain science field, but the social and humanity authors are still lower in skill for argumentation. This research investigated the using and impact of the Genre Based Approach (GBA) in training and mentoring of Research Article writing in improving the skill of argumentation in writing RA. The aim of this study is to describe the activity of learning and teaching by using GBA in training and mentoring of writing RA for social and humanity authors and the impact of this training and mentoring on the skill of argumentation in RAs writing. The material and steps of learning and teaching activity are adapted and modified from Widodo (2006) who stated that the rule of GBA is to prepare, focus, task, evaluate and elaborate. Moreover, Ferris &amp; Hedgcock (2005) also explained that GBA is started from joint construction and independent construction stages when students start to write. The instruments of this research were direct observation and RAs draft analysis. Direct observing is also conducted to record every side of GBA design for teaching writing articles. To find the effect of GBA in training and mentoring to improve argumentative skills, the content analysis to the draft of RAs is conducted. The Result shows that the first the activity of training and mentoring writing RAs by using GBA to improve argumentation skills can be described from prepare, focus, task, evaluate and elaborate. The second finding shows that the participants have competence in writing argumentative for each section of RAS. Thus, it can be concluded that GBA in training and mentoring to write RAs is effective to improve argumentative skills in writing class especially writing RAs class.
USE OF VOCATIONAL TRAINING OF SOCIAL NETWORKS AND EDUCATIONAL PLATFORMS IN TRAINING OF TEACHERS

The article presents an analysis of the results of pedagogical research on the level of introduction of social networks and educational platforms in the educational process, trust in information disseminated by social networks, critical analysis, penetration of communication tools into everyday life of modern youth development of domestic distance learning tools. During February-December 2020, among students and teachers of Vinnytsia Mykhailo Kotsyubynsky Pedagogical University, on the eve of the introduction of quarantine in Ukraine, an anonymous survey was conducted. The purpose of the survey was to obtain information about the level of involvement in the daily lives of students and teachers of modern digital technologies, to identify priority social platforms that are most often used, the effectiveness of modern Internet technologies in the educational process. In our opinion, distance education cannot replace the traditional, classical education system. However, this does not mean that we should neglect the opportunities offered by the development of various technologies. This survey once again showed the extent of interaction of survey participants with various social networks, platforms (49% of young people said they are registered in four different social networks), that each of its participants personally owns a variety of devices that allow you to work with the Internet, interact with a variety of online information platforms. The survey revealed a high level of trust among young people in information that comes from various social networks and information sites. Identified the threat that young people do not check whether the information they receive from the Internet is insufficiently verified. In conclusion, it is suggested to introduce a special course, which will reveal certain dangerous aspects of the online environment, reveal the technology of manipulating human consciousness, and so on. In our opinion, distance education cannot replace the traditional, classical education system. However, this does not mean that we should neglect the opportunities offered by the development of various technologies. This survey once again showed the extent of interaction of respondents with various social networks, platforms (49% of young people said they are registered in four different social networks), that each of its participants has a personal ownership of various devices that allow you to work with the Internet, interact with a variety of online information platforms. The survey revealed a high level of trust among young people in information that comes from various social networks and information sites. Identified the threat that young people do not check whether the information they receive from the Internet is insufficiently verified.
"Smuggling in Accidental Poetry": Cognitive and Stylistic Strategies of a Stammering Teen in David Mitchell's Black Swan Green

In this article, Constance Robert-Murail will explore the poetic »accidents« at work in two extracts of Black Swan Green (2006) by David Mitchell. The novel tells the trials and musings of Jason Taylor, a thoughtful 13-year-old growing up in a backwater town full of strange neighbours and middle-school bullies. Throughout the year 1982, the reader witnesses Jason mediating between the various personae of his fragmented identity: Unborn Twin, his faint-hearted alter ego; Eliot Bolivar, the nom-de-plume he uses to write poems for the local parish newspaper; and, most importantly, Hangman, a malignant personification of his stammer. According to Garan Holcombe, David Mitchell's own experience of stammering has provided the novelist with a particular »sensitivity toward the formal necessity of coherence and structure« (Holcombe, 2013). The extract I have decided to focus on dramatises the onset of Jason's speech impediment and acts as a »high emotional intensity passage« (Toolan, 2012) within the structure of the coming-of-age narrative. A close stylistic reading of this particular text highlights the juxtaposition of Jason's pathological speechlessness and his bustling, bubbling inner monologue. This opposition elicits a physical reaction within the reader, caught between frustration and delectation. I would argue that the multimodal nature of the extract generates what Pierre-Louis Patoine has called a »somesthetic« effect on the reader (Patoine, 2016). Stuttering, according to Professor Mark Onslow, is »an idiosyncratic disorder.« (Onslow, 2017). Word avoidance has led Jason to create his own grammar and lexicon: his youthful voice and palliative strategies allow Mitchell to smuggle in moments of »accidental« poetry. The cognitive exploration of Jason's stammer stands both at the core of the reader's response and at the centre of Mitchell's powerful poetics-and it is, last but not least, devastatingly funny.
Accurate Student Ability Estimation by Removing Teacher Evaluation Bias via Full Computer Based Testing

A test score does not represent the exact ability of an examinee. It only shows just one aspect of the examinee, even if the coverage of the test is restricted. Due to this, we may not see obvious relationships between entrance examination scores and academic records in universities, even in mathematics subjects. Thus, in order to make clear such a relationship in a statistical sense, we have investigated three testing records of the placement test, the learning check test, and term examinations.
A MULTITHREAD, NOVEL PATTERN BASED ALGORITHM FOR FINDING FREQUENT PATTERNS WITH JAGGED ARRAY AND VERTICAL DATA FORMAT

Frequent pattern mining is essential for discovering hidden items from a database with more than a prescribed threshold.Knowing frequent patterns helps us to determine the relationship between the items.Many researchers narrated novel algorithms for sequential frequent itemset mining using a single thread, but still, there is a need for time, memory efficient and scalable one.Therefore, the research study proposed an approach for finding frequent patterns, namely TB-NPF-VDF (Thread Based, Novel Pattern Formations with Vertical Data Format), which uses a new way of generating candidate items to minimize the time.Also, it employs a multithread concept and runs several threads simultaneously, one for each frequent 1-itemset to generate the remaining frequent itemsets for that item.Further, it also employs a jagged array to store the frequent patterns to reduce the memory requirement.The research work has been implemented and tested using four real-time datasets.Further, it has been compared with Matrix-Apriori, VDF and NPF-VDF (without multithread), and the experimental results reveal that TB-NPF-VDF outperforms significantly in terms of runtime and storage.
Opinion mining for user experience evaluation model using kernel-naive bayes classification algorithm

User experience evaluation approach is the major key to adapt the new trends and technology. The product launch is based on the various opinions of users and availability of product. The first impression about the product makes successful sales, which is analysed with UX (User eXperience) design. Before developing / launching the product, have to evaluate the user experience model by online sources. The opinion/sentimental analysis are the way to capture the people’s opinion about the product. Rating, page session, website page views, and number of buyers or users are evaluated as a graph model and predict the requirement of the product. This process makes the product’s benefits. The previous work utilizes the Markov Chain Monte Carlo (MCMC) Method to model the UX design. In this proposed research work, the opinion mining approach is used to get the dataset from Google analytics. This dataset is model using Kernel based Naïve Bayes Classification algorithm and the prior &amp; posterior probability is calculated by MCMC (Markov Chain Monte Carlo) techniques. Classification approach takes the training and testing data. Here the confusion matrix is used to create the UX evaluation model’s accuracy. By this proposed algorithm, it summarized the positive and negative opinion then we can calculate the accuracy of the system and it easily identifies the user opinion. This proposed UX design model improves the result as compared to the previous MCMC method. The data mining based sentimental classification is done with the help of MATLAB 2018a tool.
PERSPEKTIVE ZA RAZVOJ STATISTIČKE PISMENOSTI U POČETNOJ NASTAVI MATEMATIKE

The paper deals with aspects of contemporary mathematical ed- ucation related to development of statistical literacy. The achievements of fourth grade students from Serbia to TIMSS 2015 in displaying data are analyzed. The achievements of students are discussed in relation to the cognitive domain of mathematical tasks and types of graphic display. Preschool experience allows ear- ly intuitive encounter with tabular and other visual data presentation. The data display domain is not defined in Serbian primary grade curriculum; therefore, relatively high student achievements is due to informal acquisition of knowledge in this field. A comparative analysis of contents in the field of data presentation in curricula of other countries is presented. In the second part, the current text- books in Serbia are analyzed. A sample of 8 textbooks for the fourth grade of elementary school was analyzed to determine the presence of data presentation tasks. The paper gives a short overview of the research studies conducted in this field in Serbia. The aim of the paper is to encourage introducing this content in primary school mathematics curriculum.
Application of Motion Sensor Fusion in Special Competitive Sports

With the advancement of science and technology and the rapid development of the field of intelligence, new sensor technology has also made great progress. The availability and use speed of motion sensor technology are increasing rapidly, while its cost is reduced, the overall performance is also more complete, and the application fields are becoming more and more extensive. Based on the introduction and summary of the human body structure and the characteristics of sports, in order to facilitate the study of human movement, this article establishes a rod-shaped sports model and a human body coordinate system that is convenient for analysis and calculation. Through the analysis of commonly used sports parameter measurement methods, a method of using acceleration parameters for sports measurement and analysis is proposed. The motion sensor is used to measure the movement of the limbs, and the mathematical relationship between acceleration parameters and speed, displacement, and other parameters is used to solve other motion parameters, so as to analyze the posture and movement trajectory of sports. We developed a motion acquisition system which is divided into two parts: a signal acquisition unit and a data processing unit. With ARM7 and three-axis accelerometer ADXL330 as the core, it can realize information acquisition and data analysis of up to 5 sensor network nodes. The topology management platform mainly formulates the sleep strategy of suitable nodes according to the changes of the sensor network topology, maintains the connectivity of the network, and ensures the effective transmission of data. On the basis of the performance test of the system, a sports measurement experiment was carried out, and it was applied to the control of competitive sports for reliability testing. The experimental results verified the use of the sports information acquisition system to collect and analyze sports information.
Pythagorean Theorem Concept Image in Junior High School: An Analysis in The Online-Based Learning

The concept image comprises all the cognitive structures in an individual's mind connected with a specific notion. However, if the learning situation is not relevant to help students construct knowledge and provide meaningful experiences, it will affect their concept image. This study aims to examine the concept of the image of the Pythagorean theorem during online-based learning. The research is a qualitative approach, and the method is phenomenological to understand the meaning for the participants of their concept image. Initially, this study enrolled 66 students. Two students were selected as research subjects and acted as resource persons to provide adequate contextualization based on students who answered right and wrong. Data collection combines data from the outcomes of testing the Pythagorean theorem test, interviews, and literature studies. The data analysis technique employed is Interpretative Phenomenological Analysis (IPA). There are six categories of student concept image. Based on in-depth interviews with two students who answered correctly and incorrectly, students were given inconsistent meanings of the Pythagorean theorem due to the learning situation to improve students' understanding of the subject.
PEMBUATAN VIDEO COMPANY PROFILE DAN PRODUK MULTIMEDIA UNTUK SOSIAL MEDIA RUMAH SAKIT HEWAN PENDIDIKAN (RSHP) IPB

ABSTRACTVarious interesting activities and facilities have been carried out at RSHP IPB, but these activities have not been packaged and disseminated attractively resulting in a lack of information received by the society. Companies can disseminate information moreinteresting and easy to understand to the target according to the goals to be achieved by implementing multimedia. Animal Hospital for Education of IPB uses video and motion graphic as a promotional forum to introduce RSHP IPB and expand the information the public will receive. The methods used in the manufacture of company profile video and multimedia product are briefing, idea construction, audiens target, device application determining, reference process, revision and publication.The result of this projects are a company profile video and multimedia product such as motion graphic.This products were shared at RSHP IPB’s Social Media.
The Design of Cognitive Training Games for the Thai Elderly

Cognitive aging is one of the main public health concerns, often involving a decline in memory and decision-making abilities as people age. Cognitive training games have been widely used to improve working memory as well as enhancing short and long-term memory. In this study, we aim to develop a cognitive training game based on the Thai environment and speech recognition technology. The designed cognitive training tasks were evaluated by performing electroencephalography (EEG) on six elderly volunteers, who passed the Thai mental state examination. The participants were instructed to memorize a series of pictures and calculate simple math questions. The EEG signals of the participants were recorded during training. The participants engaged in four cognitive training tasks over three trials. An increase in training scores was found to be related to a rise in three EEG power spectrum bands: theta, alpha, and beta. Participants expressed the highest average level of satisfaction towards the easiest tasks in the four cognitive training games. This implies that when performing an easy task, an increase in the power spectral density of three EEG bands tends to occur. As a result, the proposed cognitive training game could leverage the working memory of the Thai elderly. The game design can be enhanced by integrating human-based interactive tasks, such as handwriting and eye movements. Its replication on a larger scale should be assessed in the future.