Reviewerly/exHarmony huggingface dataset:
Elucidation of the mechanism of cognitive decline in mild cognitive impairment using causal discovery

Mild cognitive impairment (MCI) is the stage between the expected cognitive decline of normal aging and the more serious decline of dementia. Since MCI may increase risk of later developing dementia caused by Alzheimer's disease (AD) or other neurological conditions, it is important to detect and treat MCI early in order to prevent dementia. Causal discovery, which can visualize causal relationships (cause and effect) among data, has recently been attracting attention. One of its algorithms, the Linear Non-Gaussian Acyclic Model (LiNGAM), can extract causal relationships among variables from statistical data only, using probability distributions of variables that are generally non-Gaussian. In this study, we used LiNGAM to analyze gene expression data in the hippocampus of healthy subjects and of MCI patients, and also the Mini-Mental State Examination (MMSE) scores, which are used to assess cognitive decline. We found that cell adhesion molecule 4 (CADM4) gene regulates cognitive processes that are measured in terms of MMSE scores. Our results revealed a causal relationship between gene expression changes and MMSE scores, and allowed us to identify the genes responsible for cognitive decline..
Deficiencies in the current pre-university education and fields of educational projects, from the perspective of future teachers

The article analyzes a number of tendencies of current education and summarizes ideas that are in the area of concern of the students who are preparing to become teachers.The quality of the education system is related to the value of the students' learning outcomes, but it is also conditioned by the convergence of the educational initiatives.From the perspective of the students who have experience in psycho-pedagogical studies and who fathom applied fields, a number of existing or potential problems are validated.Thus, the students indicated as the main deficiencies, that require initiatives: absenteeism, poor results in learning in the fields of science, technology, insufficient digital skills and curricular overload.There is a consonance between the titles or lists of proposals of future teachers and the directions of educational policy, and the practical accomplishment of the actual projects requires, first of all, analyzes and group debates, from those who are preparing to initiate educational projects.In addition to the main problems, considered deficient, we were interested in the propositions of concrete solutions, and although students had some contagions with the titles of certain projects already implemented in Romania, they used formulations that highlighted the qualities of a desirable education: participatory; restructured/ recovered; electronic; communityoriented; extracurricular; curricularly developed.The effects of the pandemic situation between 2020-2022, in education, have led the future teachers to become aware of the role the projects that integrate interdisciplinarily, information and communication technologies have.
Pemanfaatan Blog sebagai Media Pembelajaran B. Indonesia pada Kelas 5 SD/MI

This modern era is determined by the rapid development of technologyinformation, this also has an impact on the education sector. Internethas become an alternative way to search for all kinds ofinformation needed by teachers and students, there is no space limitand time for this type of technology, the teaching and learning process becomesmore flexible, teachers and students can find themselves outsideclasses and regular time schedules, especially students nowalready familiar with technology, they bring gadgets insideclass, sometimes, they use it for their businessalone, when the teacher is explaining something, the teacher must be creativefacilitate not only the demand for internet technology andalso to improve the teaching of the learning process, hereThe author proposes blogs as an alternative media,With this media, students can explore the posted materialby the teacher on the blog. Students can study anywhere and anytime.which is certainly very different from conventional learning.Blog is one of the technology-based learning mediaInformation and Communication (ICT). By using blog mediaexpected to create active learning, creative,effective and fun. Use of blogs as medialearning has the advantage of readily available informationbroad, fast, and precise, there is convenience in the learning processand technology support to facilitate the learning processteach. The application of ICT also has a distinctive advantage, namely that it does notlimited by place and time.
Enhanced Gaze Tracking Using Convolutional Long Short-Term Memory Networks

This paper presents convolutional long short-term memory (C-LSTM) networks for improving the accuracy of gaze estimation.C-LSTM networks learn temporal variations in facial features while a human subject looks at objects displayed on a monitor screen equipped with a live camera.Given a sequence of input video frames, a set of convolutional layers individually extracts facial features from regions of interest such as the left eye, right eye, face, and face grid of the subject.Subsequently, an LSTM network encodes the relationships between changes in facial features over time and the position of the gaze point.C-LSTM networks are trained on a set of input-output data pairs of facial features and corresponding positions of the gaze point, and the spatial coordinates of the gaze point are determined based on the facial features of the current frame and information from previous frames to improve the accuracy of gaze estimation.Experiment results demonstrate that the proposed scheme achieves significant improvement of gaze tracking performance with average gaze estimation errors of 0.82 and 0.92 cm in the horizontal and vertical axes, respectively, on the GazeCapture dataset and an average angular error of 6.1 • on the MPIIGaze dataset.
Validity Canva Video Media Integrated Thematic Learning Based On PBL Models In Elementary Schools

Canva is an online application that is used in the creation of learning media. The purpose of this study is to develop Canva Video media on integrated thematic learning based on the Problem Based Learning (PBL) model in grade IV of a valid elementary school. The type of research carried out is Research ang Development (R&amp;D) with a 4D development model, namely Define, Design, Develop, and Disseminate. This research was conducted in elementary schools by collecting data techniques using questionnaires from material experts, linguists, and media experts. The test subjects in this study were 32 grade IV students of SDN 19 Ambacang Anggang and SDN 11 Tanjung Alai. The results of the Canva Video Media development research developed obtained material validity test results of 91.6%, language validity test results of 87.5%, and media validity test results of 100%. Thus it can be concluded that Canva Video Media on integrated thematic learning in grade IV Elementary School has been validly used.
Private Voting, Public Opinion and Political Uncertainty in the Age of Social Media

Abstract Before the advent of social media and big data analytics, the right to vote under conditions of ballot secrecy ensured a complementary relationship between the privacy of the voting act and political self-observation as a second-order observation in democratic political systems. Key to this relationship is the notion of public opinion. This notion and its relevance for professional political actors in dealing with political uncertainty are at stake in the age of social media. The privacy of the voting act becomes a problem once it is believed to be subject to the overriding influence of algorithmic recommendation and targeted advertising.
PEMANFAATAN GOOGLE FORM SEBAGAI PENDAFTARAN ONLINE SISWA BARU di MA SABILAL MUHTADIN TAHUN PELAJARAN 2021/2022

New student registration is the initial gate that students and schools must go through in screening educational objects. An important event for a school, because this event is the starting point that determines the smooth running of a school's work. The purpose of this study was to determine the effectiveness and efficiency of using Google Form as an online student registration form at MA Sabilal Muhtadin. This type of research is descriptive qualitative. The subjects of this study were students of class X at MA Sabilal Muhtadin Pasir Putih Bungatan Situbondo which consisted of 10 students and 1 operator. Data collection techniques in this study are Observation, Interview, Documentation. The data analysis technique used in this study is data analysis using the Miles and Huberman analysis method. The results of data analysis show that the use of google forms is very helpful in an online registration process for new students at MA Sabilal Muhtadin so that the registration process runs effectively and efficiently.
formation of creative thinking in students under solving exercises and tasks on biology

The actuality of research is due to the enormous importance of the development of creative thinking in students in solving exercises and tasks in biology, the importance of the role of the teacher in the development of such qualities in a student, as well as for enhancing the cognitive activity of students in biology classes. Some types of exercises and tasks used in this study are shown. The process of developing students’ creativity and independence, as well as increasing cognitive ability in the process of finding ways to solve the tasks are considered.
English Students’ Difficulties in Understanding Listening Section of the TOEFL Test

The objective of this reseach is to find out the difficulties and the dominant factor that faced by the English students in understanding the listening section of the toefl test. This research used descriptive quantitative method. 18 students as the total population and 18 students become a sample of this research. The instrument of the reasearch was questionnaire adopted from Hamouda in Raini (2019). The questionnaire consist of 27 statements and devided into 7 tables. The result of this research shown that the highest percentage by using mean is in physical setting (50%) and the dominant factor is in physical setting (50%) where the problem that were the difficulty to concentrate with noises around and unclear sounds from poor quality-CD player are the biggest difficulties to the English students UNIB. It could be concluded that the content of listening test and physical setting become the highest difficulties and the dominant factor that faced by English Students UNIB. It was recommended for the English lecturer should pay more intention towards to listening material and find more suitable method or technique in teaching listening course and students should find another option to cover the listening skill.
Trace elements monitoring in Udmurt Republic by neutron activation analysis

The results of the assessment of the degree of atmospheric pollution in the territory of the Udmurt republic by the method of moss biomonitors in combination with instrumental neutron activation analysis are presented. Concentrations of 37 macro-, micro- and trace elements were determined in moss samples. The factors of accumulation of individual elements are calculated using background values of their concentrations. The background concentration is determined by finding three minimum values and finding the average using descriptive statistics methods. Based on the analytical results, maps of the spatial distribution of heavy metals and other toxic elements in the study area were constructed using GIS technologies. Factor analysis was used as a method of multidimensional statistical analysis to identify the main sources of pollution — large industrial facilities located on the territory of the Udmurt Republic. This study is a continuation of work for other regions of Russia using multi-element instrumental neutron activation analysis and modern GIS technologies.
Art Pedagogy for Self-assessment of Kindergarten Teachers

The kindergarten teacher is both a teacher and an inspirer. The condition of his personal and professional effectiveness is stability associated with the balance of self-esteem. The aim of the study is togeneralize the innovative teaching experience, analyze and draw attention to an important personalconstruct – self-esteem of a kindergarten teacher as the basis for successful interaction and confidencein personal and professional terms. The article discusses the practical possibilities of self-assessment ofkindergarten teachers by means of art pedagogy. Known are the incentives of art to change and the motivation of the individual to achieve. Art pedagogy differs from conventional methods of education andupbringing, and involves direct creative interaction between its subjects. The technological feature ofart pedagogy is game methods and improvisation, which are non-standard ways of self-expression andmotivation in the process of work. The article reveals art methods such as the exercises “Coefficient ofSpiritual Intelligence”, “My multi-colored name” and others. The presence of spiritual intelligence allowsyou to show creativity, flexibility and the ability to transform the rules. It is the capacity for compassionand the moral code, the capacity for evaluation and the mood for change, it promotes dialogue betweenthe mind and the sensesKey words: art pedagogy, self-assessment, educator, kindergarten.
Analysis of the Increase in Covid-19 Patients in Maluku Province Using Markov Chain Method

Since the beginning of 2020, most of the world has been hit by the covid-19 pandemic, patients who are confirmed to be covid-19 are increasing day by day until the end of 2020, this increase in covid-19 patients has also occurred in the province of Maluku. In this study using the Markov chain method to analyze the increase in COVID-19 patients in the Maluku province, the results of the study were obtained that there were 5 ranges of adding positive COVID-19 patients with the opportunity value of increasing in each range as follows In the range of 0-20 people, the opportunity value is 0.103, the range of 21-40 people, is the opportunity value 0.098, the range 41-60 people is the opportunity value is 0.093, the range 61-80 people is the opportunity value is 0.1, the range of more than 81 people the opportunity value is 0.74.
STUDENTS’ PROBLEMS IN WRITING COMPOUND SENTENCES

The purpose of this research was to describe the third year students’ problems in writing compound sentences expressing contrast, reason, and additional idea at English Department of Bung Hatta University. Descriptive method was used as the design of this research. The number of population members was 53 students. The writer used total sampling technique to select the sample. Writing test was the instrument to get the data. The students were asked to write 21 compound sentences : 7 sentences expressing contrast, 7 sentences expressing reason, and 7 sentences expressing additional idea. The test was reliable because the reliability of the test was high (0.98).The result of this research showed that generally the third year students at English Department of Bung Hatta University had problem in writing compound sentences. They had problems in writing compound sentences expressing contrast, reason, and additional idea. Among those problems, the most problem the students face was writing compound sentences expressing reason (39.49%). In writing compound sentences expressing reason, the most problem the students face was in mechanics (41.06%), especially in punctuation (25.13%).Dealing with the conclusion, the writer suggested to the lecturers to use matching picture as the media to teach compound sentence to the students. The students are suggested to do more exercises in writing compound sentences expressing reason by using matching pictures. The next writers are expected to find out students’ problems in writing compound sentences in other conjunction such as compound sentences with semicolon, correlative conjunction, and conjunctive adverbs. REFERENCES Brandon, Lee &amp; Kelly Brandon. (2011). Paragraph and Essays with Integrated Readings (11thed). Boston : Wadsworth Cengange Learning. Cahyo, Fuad Nur. (2013). Using The Mind Mapping Technique To Improve The English Writing Skill of The Tenth Grade at MAN Yogyakarta III in The Academic Year 2012/2013. (S1 Degree). Online Publish Thesis. Universitas Negeri Yogyakarta. Gay, L.R, Geoffrey E. Mills, &amp; Peter Airasian. (2009). Educational Research : Competencies for Analysis and Application. Upper Saddle River, New Jersey : Pearson Education, Inc. Lauder, Allan. (2008). The Status and Function of English in Indonesia : A Review of Key Factors. Makara, Sosial Humaniora.,12(1),1-12. McMillan, James. H. (1996). Educational Researh : Fundamentals for the Consumer. (2nded). New York: HarperCollins Publishers, Inc. Sudijono, Anas. (2015). Pengantar Statistik Pendidikan. Jakarta: Rajawali Pers. Usman, Husaini &amp; Purnomo Setiady Akbar. (2011). Pengantar Statistika. Jakarta : Bumi Aksara.
STUDENTS’ ABILITY IN CHANGING ACTIVE SENTENCES INTO PASSIVE ONES OF PRESENT PERFECT CONTINUOUS TENSE

This research was purposed to describe the second year students’ ability in changing active sentences into passive ones. The research design was descriptive in nature. The population of this research was the second year students at English Department of Bung Hatta University with total population 104 students. The writer used cluster random sampling technique in taking the sample. The result of the data analysis showed that 24 out of 28 students had moderate ability in changing active sentences into passive ones . In detail, the findings showed that 25 out of 28 students had moderate ability in changing the subject of active sentences into passive ones. 20 students out of 28 students had moderate ability in changing the auxiliary of active sentences into passive ones. 23 out of 28 students had moderate ability in the use of be in changing active sentences into passive ones. 26 out of 28 students had moderate ability in the use of be + ing in changing active sentences into passive ones. 22 out of 28 students had moderate ability in changing the verb of active sentences into passive ones. 27 out of 28 students had moderate abilityin the use of agent in changing active sentences into passive ones. The last, 24 out of 28 students had moderate ability in the use of time signal in changing active sentences into passive ones. REFERENCES Allsop, J. 1990. Cassel’s Students English Grammar. Jakarta Barat: Indonesia Alter, J. B. 1993. Essential English Usage and Grammar 5. Jakarta: Binarupa Aksara. Arikunto, Suharsimi. 2012. Dasar-dasar Evaluasi Pendidikan (Edisi Revisi). Jakarta: Binarupa Aksara. Azar, B. S. 1993. Fundamentals of English Grammar (2nd ed). Jakarta: Binarupa Aksara. Eastwood, J. 2002. Oxford Guide to English Grammar. Oxford: Oxford University press. Fuchs, M. Bonner, M. and Westheimer, M. 2000. Focus on Grammar (2nd ed). London: Addison Wesley Longman, Inc. Gay. L. R. 1987. Educatinal Research: Competencies for Analysis and Application (3rd ed). Ohio: Merrill Publishing Company. Murphy, R. 2002. English Grammar in Use, With Answers-Intermediate (2nd ed). Jakarta: Penerbit Erlangga. Murphy, R. 1989. English Grammar in Use (6th ed). Cambridge: Cambridge University Press. Nordquist. R. 2013. Tense. http://grammar.about.com/od/tz/g/tenseterm.htm (accessed on December 28th, 2013). Webster. M. 2013. Tense.http://www.merriam-webster.com/dictionary/tense (Accessed on December 28th, 2013). Werner, P. K. et. al. 2002. Interaction 2 grammar (4th ed). New York: McGraw-Hill/Contemporary. Woods, E. And Mcleod, N. 1992. Using Basic English Grammar. London: Prentice Hall International
An Association Rule Mining Algorithm for Clinical Decision Support

The use of Machine Learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support. Association Rule Mining (ARM), as a classical machine learning method, provides researchers with important opportunities for data analysis and potential relationship discovery. In this paper, the weighted Apriori algorithm (MW-Apriori) is proposed to discovery the association rules from the disease diagnostic data. Furthermore, in order to obtain more accurate associations on a higher level, we design an improved k-nearest neighbor (CW-KNN) algorithm applied as a pre-step, which can divide the large number of medical texts into specific classification. MW-Apriori, can mine the hidden and potentially useful knowledge and rules behind huge amount of uncertain information. Based on the high correlation of classified data, we have also obtained high-quality association rules between symptoms and diseases. Experiment results on the multiple data sets have proved the superior performance of MW-Apriori algorithm.
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

We offer a practical unpaired learning based image dehazing network from an unpaired set of clear and hazy images. This paper provides a new perspective to treat image dehazing as a two-class separated factor disentanglement task, i.e, the task-relevant factor of clear image reconstruction and the task-irrelevant factor of haze-relevant distribution. To achieve the disentanglement of these two-class factors in deep feature space, contrastive learning is introduced into a CycleGAN framework to learn disentangled representations by guiding the generated images to be associated with latent factors. With such formulation, the proposed contrastive disentangled dehazing method (CDD-GAN) employs negative generators to cooperate with the encoder network to update alternately, so as to produce a queue of challenging negative adversaries. Then these negative adversaries are trained end-to-end together with the backbone representation network to enhance the discriminative information and promote factor disentanglement performance by maximizing the adversarial contrastive loss. During the training, we further show that hard negative examples can suppress the task-irrelevant factors and unpaired clear exemples can enhance the task-relevant factors, in order to better facilitate haze removal and help image restoration. Extensive experiments on both synthetic and real-world datasets demonstrate that our method performs favorably against existing unpaired dehazing baselines.
Automated Math Symbol Classification Using SVM

Handwritten character/symbol recognition is an important area of research in the present digital world. The solving of problems such as recognizing handwritten characters/symbols written in different styles can make the human job easier. Mathematical expression recognition using machines has become a subject of serious research. The main motivation for this work is both recognizing of the handwritten mathematical symbol, digits and characters which will be used for mathematical expression recognition. The system first identifies the contour in handwritten document segmentation and features extracted are given into SVM classifier for classification. GLCM and Zernike Moments are the two different feature extraction techniques used in this work. SVM with RBF kernel is used for classification. Zernike Moment features overperforms than GLCM. Zernike Moment achieves 97.89% accuracy and GLCM achieves 87.61% accuracy.