Reviewerly/exHarmony huggingface dataset:
THE USE OF WALL CHARTS AS MEDIA TO TEACH VOCABULARY

The aim of this research was to improve the students’ vocabulary using wall charts as learning media. This is a classroom action research with two cycles. The procedures of each cycle were planning, acting, observing and reflecting. The subjects of this research were 31 students of Learning Group VII of SMP Negeri 2 Belitang Hilir. The data are obtained quantitatively and qualitatively, namely classroom observation, interview, test scores, and questionnaires. This research showed that the students could improve to memorize the vocabulary and its meaning with the help of wall charts. The teacher also could help them correct the spelling and pronunciation. Moreover, the students’ attitude towards the teaching-learning process improved since wall charts increased the students’ interest in learning English vocabulary. It can be seen that in cycle 1 was 67 meanwhile in cycle 2 was 81.9. The research result also showed that wall chart was a good medium for learning English vocabulary with mean value 4.52.
Getting Started with Google Cloud Deployment Manager

In this chapter, we cover the core concepts of the GCP Deployment Manager service and explain how it can be used to implement Infrastructure as a Code (IaC) to manage and provision the Google Cloud infrastructure. This chapter covers the following topics:
Assessing the impact of automatic dependency annotation on the measurement of phraseological complexity in L2 Dutch

Abstract The extraction of phraseological units operationalized in phraseological complexity measures ( Paquot, 2019 ) relies on automatic dependency annotations, yet the suitability of annotation tools for learner language is often overlooked. In the present article, two Dutch dependency parsers, Alpino ( van Noord, 2006 ) and Frog ( van den Bosch et al., 2007 ), are evaluated for their performance in automatically annotating three types of dependency relations (verb + direct object, adjectival modifier, and adverbial modifier relations) across three proficiency levels of L2 Dutch. These observations then serve as the basis for an investigation into the impact of automatic dependency annotation on phraseological sophistication measures. Results indicate that both learner proficiency and the type of dependency relation function as moderating factors in parser performance. Phraseological complexity measures computed on the basis of both automatic and manual dependency annotations demonstrate moderate to high correlations, reflecting a moderate to low impact of automatic annotation on subsequent analyses.
Implementasi Algoritma Dijkstra pada Aplikasi Go-Tahu dengan Pencarian Rute Terpendek ke Pabrik Tahu

Currently, the food business sector is increasing, one of which is tofu producers in South Tangerang. Many people who want to buy tofu of good quality but do not know the closest distance to the factory is located. In this research, we will use Dijkstra's Algorithm which is applied to the Android software to determine the shortest distance from one point to the tofu factory which is the chosen destination. Using the Dijkstra algorithm, an application will be designed, namely a mobile-based Go-Tofu for finding the closest route to the tofu factory. The route search process is carried out with a graph that has a weight and an area that is connected to a predetermined route. In the application test, it produces the shortest route from a house to the tofu factory with the smallest total weight of 11 kilometers based on the test results in the study.Keywords:Dijkstra’s Algorithm, Android, Flutter, Shortest Line, Tofu Factory.
PENERAPAN LEARNING MANAGEMENT SYSTEM DAN BLENDED LEARNING SEBAGAI ALTERNATIF MODEL MERDEKA BELAJAR DI MASA ADAPTASI KEBIASAAN BARU PEMBELAJARAN AGAMA KRISTEN

This paper describes the application of the Learning Management System and Blended Learning in the learning process of Christianity. The application of this learning system as an alternative to the Free Learning model during the adaptation period for New Normal in grade 4 Semester 1 students of SDN 8 Selat Hilir for the 2020/2021 academic year. The method used in this research is Classroom Action Research. The results showed that the application of the learning system used by Christian Religious Education teachers proved successful in improving student learning outcomes. This can be explained that in the pre-cycle the average score of student learning scores was 56.25 with 1 in 4 students completing. Furthermore, it increased in the first cycle, namely 68.75 with 2 students completing. Then in cycle II it increased again, namely 85.94 with 3 students who completed out of 4 students in class 4 Semester 1 in the 2020/2021 academic year at SDN 8 Selat Hilir. Likewise, the percentage of completeness increased from Pre-cycle 25%, increased in cycle I by 50%, and increased again to 70% in cycle II.
Screen Personal Tool to Improve Students Understanding of The Concept Of Summing Round Numbers in SDN 1 Linggasari

&lt;p&gt;&lt;em&gt;The background of the writer is the students' lack of understanding of the concept of adding make numbers.While the purpose of this study is to determine how much influence the use of number line props on student motivation. And to find out how much influence the number line props have on understanding of the teaching material.The method that I use is to use number line props on the concept of adding whole numbers. This research was conducted through a cycle assessment process consisting of four stages (planning, implementing, observing, and reflecting) in three cycles of learning improvement. From the results of the analysis, the conclusions obtained from this study are: 1) The use of number line props in the material of adding whole numbers can increase students' understanding by 71.79%, namely from the initial condition 28.21% to 100% in the third cycle. 2)The use of number line props on the sum of integers material can increase the seriousness of students by 74.36%, namely from the initial condition 25.64% to 100% in the third cycle. Conclusions from this study Is an effective use of number line props to improve understanding of integers.&lt;/em&gt;&lt;/p&gt;
Kebijakan Pengembangan Koleksi Perpustakaan Universitas Islam Negeri Raden Fatah Palembang

Collection is one of the requirements for the formation of a library in addition to library staff, facilities and infrastructure, a source of funding. Library collections are tailored to the needs of visitors, library types, and agency policies. The university library must have an adequate collection of both the number of titles and the number of copies. The collection is sufficient to support the implementation of education, research, and community service. In order for the development of a focused collection, a collection development policy is needed. This research uses a descriptive qualitative approach. This approach is used to describe the collection development that has been carried out by the library of UIN Raden Fatah Palembang along with the obstacles faced, as well as to collect data to make a written collection development policy. Data collection was carried out through observation, interviews and documentation. The findings in this study are that so far the UPT Library of UIN Raden Fatah has only carried out collection development activities by practice, but there is no collection development policy that will be used as a guide in carrying out collection development activities. This is so that the implementation of collection development activities is not well directed, because there are no guidelines in carrying out collection development activities.
Penerapan Metode Perbandingan Dempster-Shafer dengan Certainty Factor pada Aplikasi Sistem Pakar Deteksi Dini Penyakit Alzheimer pada Lansia Berbasis Web

Alzheimer's is a dementia disease associated with changes in protein in the brain. According to WHO, in 2010 there were 35.6 million people suffering from dementia. People with dementia are usually the elderly. Due to the lack of awareness, information, and knowledge about Alzheimer's disease, an expert system was created using the Dempster-Shafer comparison method with Certainty Factors to assist in early detection of the disease. The results of this study are, there is a final value of the diagnostic results using the Certainty Factor method of 56% while using the Dempster-Shafer method of 54.5%.Keywords:Alzheimer, Expert system, Dempster-Shafer, Certainty Factor, Web-Based.
HIERARCHICAL TEMPORAL MEMORIES IN SECURITY INFORMATION AND EVENTS MANAGEMENT SYSTEMS

Process mining techniques assist cybersecurity specialists in better understand the processes which are running in a network.Automatic process filtering represents an important component of process mining, but the lack of common sense/grounding knowledge create challenges which are similar with those reported in Natural Language Processing (NLP).The paper presents how the Hierarchical Temporal Memories (HTMs) can be applied in the Security Information and Events Management Systems for the process filtering purpose.Initial experiments were conducted and some important conclusions were already achieved.The future research will aim to design hybrid solutions for process filtering, including fuzzy controllers, rough sets and self-organizing maps, in addition to HTMs.
APPLICATION OF LOGIC FORMS OF CHOICE FUNCTIONS IN TASKS OF RECOGNITION OF PATTERNS

The study examined and theoretically substantiated the possibility of using the apparatus of logical forms of choice, which are used in decision theory, for binary representation of image attributes in order to reduce dimensions and unify images. To do this, we used the methodology of logical projection of image attributes onto a set of logical functions of a special kind. This represents a new approach to unification of the final attribute vector, which leads to a significant reduction in the size of the attribute vector. This approach shows the relationship between decision theory and pattern recognition theory. The given specific practical examples of the application of choice logical functions confirm the viability of the joint implementation of these theories.
Variance Value Limited Clipping of Pentile based Sub-histogram Equalization for Contrast Enhancement of Image

Digital image enhancement is a technique to process a digital image to improve the overall visual quality of image.In this paper, Variance concept based clipping threshold value is computed from input image pixel intensity to limit the rate of over enhancement.The histogram of the original image is sub-divided into five adjacent sections and the boundary values between adjacent sections are put from the penile value of intensity range.Besides, over enhancement of the image is avoided by clipping certain number of pixels having more intensity than the clipping limit and these pixels are rearranged below the clipping limit.The present method offers two advantages viz., clipping of the certain pixels based on the property of the data set itself.The another one is to histogram processing by parts and this has given better visual quality, low computation time with improved metrics related to image enhancement.Histogram of each specific sub-image is equalized independently and then combined to produce the final contrast enhanced image.The final output image is further processed through imreducehaze filter for more improve result.Quantitative evaluation of proposed algorithm is performed by CPCQI and QILV image quality metrics and the simulation results have shown that the proposed variance based histogram equalization algorithm produces better quality of image in terms of contrasts, brightness and color in comparison to the other existing histogram equalization algorithms.
Implementasi Deep Learning untuk Sistem Keamanan Data Pribadi Menggunakan Pengenalan Wajah dengan Metode Eigenface Berbasis Android

The development of technology in security systems combined with facial recognition, of course, makes every protected data safe. Many methods can be combined with a security system, one of which is the eigenface method, which is part of facial recognition. In this study, a personal data security system was built using Android-based deep learning. Based on the results of tests carried out on three devices with different Android versions, it is known, if on Android 8.1 (Oreo) the maximum distance is ± 40 cm, on Android 9.0 (Pie) the maximum distance is ± 50 cm, and on the Android version, 10.0 (Q) the maximum distance for facial object recognition is ± 60 cm. From the test results, it is known that by using the eigenface method, the farther the face is from the camera, the face cannot be detected. The implementation of this system is expected to protect personal data safely.Keywords:Face recognition, Deep Learning, Android, Eigenface.
SOCIAL INNOVATIONS OF THE ENTREPRENEURIAL UNIVERSITY IN THE INFORMATION-DIGITAL SPACE

Goal. The article analyzes current tendencies of introduction of social innovations and their effective tools in the activity of an entrepreneurial university. It is shown to what extent project innovations of an entrepreneurial university are aimed at social innovations that lead to the improvement or emergence of new educational product/service or technology in the conditions of widening of information-digital space. Methodology. To achieve this goal, we used a set of scientific methods that ensured the conceptual integrity of the research, in particular: structural-logical analysis and generalization (made it possible, on the one hand, to find out place of social innovations in the economic system, and on the other – to consider business university as a complex one the structure of institutions, organizations or institutions that produce new knowledge and technology). Due to the method of analysis and synthesis, conclusions were drawn about the necessity and possibility of practical application of the results of the study. Results. The article describes and systematizes based on the analysis of scientific views and creative understanding of existing points of view on understanding the concept of “innovation” in general and “social innovation” in particular. The socio-economic and institutional conditions for the formation of an entrepreneurial university, which should act simultaneously as both a scientific and educational institution, a consulting company, and the owner/founder of entities of innovative infrastructure, have been identified. Scientific novelty. The concept of “social innovations of an entrepreneurial institute” is theoretically formulated and substantiated as a synthesis of a set of institutional elements that are in certain interconnections and relationships, forming a dynamic system that will promote the introduction of social innovative changes through social entrepreneurship. Practical importance. Separate results and conclusions of the article can be used to adapt the university’s research and teaching capabilities to social innovation and to focus on private entrepreneurship by commercializing research findings.
Modal Analysis Applied to Electric Guitar Design Influence on Manufacturing Parameters

Modal analysis techniques applied to obtain solid body guitar natural frequencies provides valuable information to optimise the instrument design and manufacturing process, especially on thin line body models.Using the iconic Fender Telecaster model, and introducing a basic manufacturing parameter set, we analyse the correlation of these parameters and the frequency values obtained on each case.Physics behind the guitar signal modification due to instrument structure is based mainly on the coupling or transduction of the vibrational energy of the string to the whole guitar assembled body.Vibroacoustic studies over solid body guitar have been treated by other researchers, covering a wide range of approaches.Our research is based on a dual design-manufacturing/sound analysis perspective, focusing on guitar makers and luthier needs.Frequency values obtained on each case, and the developed finite element model, generated useful data.This information has been used to prove its validity for the successful manufacturing of three new improved instruments involving the luthier on the design modification phase.Relation of modal frequency values and the manufacturing parameters (wood type, body and neck thickness, internal cavity characteristics) exists in the CAD/CAE environment.It can be modelled and simulated to create a digital mock-up of the instrument.Parameter correlations agree with empirical luthier knowledge remarking two traditional discussion areas, the selection of wood to manufacture guitar parts and the internal cavity design.
Health Care Bot using Artificial Intelligence for Self-Diagnosis

Healthcare bot is a technology that makes interaction between man and machine possible by using Artificial Intelligence with the support of dialog flow. Now a day people tend to seek knowledge or information from internet that concern with health through online healthcare services. To lead a good life healthcare is very much important. But it is very difficult to obtain the consultation with the doctor in case of any health issues. The basic aim of this system is to bridge the vocabulary gap between the doctors by giving self-diagnosis from the comfort of one’s place. The proposed idea is to create a medical bot using Artificial Intelligence that can diagnose the disease and provide basic details about the disease before consulting a doctor. To reduce the healthcare costs and improve accessibility to medical knowledge the medical bot is built. Certain bots act as a medical reference books, which helps the patient know more about their disease and helps to improve their health. The user can achieve the real benefit of a bot only when it can diagnose all kind of disease and provide necessary information. Hence, people will have an idea about their health and have the right protection.
THE EFFECTIVENESS OF CHUNKING STRATEGY IN DEVELOPING STUDENT'S ABILITY IN STORY RETELLING

Abstract: This research aims at finding out whether or not the use of chunking strategy is effective in developing students’ ability of story retelling to the tenth-grade students at MAN 01 Pekalongan. Quasi experimental research was applied as the method with two groups : experimental and control group. The total subject of this research was 52 students which were taken from two classes of X IPS 1 as a control group and X AGAMA 2 as an experimental group. Face and content validity were done by asking the English teacher and advisor to be expert judgements to validate the instrument by using a rubric appearance of test for face validity and its conformity by curriculum as a content validity. Inter-rater reliability in giving scores to the students’ was done to measure the reliability of the test. This research used SPSS in analysing the data of speaking test through several activities. They were pre-test before treatments, and post-test after treatments. The result of the research shows the significant difference in the story retelling ability between tenth grade students who were taught by using chunking strategy and those were not taught by using it. It can be seen in the result of mean score in the post-test of experimental class which is 89 and control class which is 83 and as a result Sig. (2-tailed) is 0.044 0.050. Therefore, the null hyothesis of this study is rejected. It means that the use of chunking strategy had significantly improved the tenth-grade students story retelling ability in English teaching and learning process of the experimental class at MAN 01 Pekalongan in the academic year 2019/2020. Keywords: chunking, teaching speaking strategy, story retelling
Secret sharing schemes for ports of matroids of rank 3

A secret sharing scheme is ideal if the size of each share is equal to the size of the secret.Brickell and Davenport showed that the access structure of an ideal secret sharing scheme is determined by a matroid.Namely, the minimal authorized subsets of an ideal secret sharing scheme are in correspondence with the circuits of a matroid containing a fixed point.In this case, we say that the access structure is a matroid port.It is known that, for an access structure, being a matroid port is not a sufficient condition to admit an ideal secret sharing scheme.In this work we present a linear secret sharing scheme construction for ports of matroids of rank 3 in which the size of each share is at most n times the size of the secret.Using the previously known secret sharing constructions, the size of each share was O(n 2 / log n) the size of the secret.Our construction is extended to ports of matroids of any rank k ≥ 2, obtaining secret sharing schemes in which the size of each share is at most n k-2 times the size of the secret.This work is complemented by presenting lower bounds: There exist matroid ports that require (Fq, )-linear secret schemes with total information ratio Ω(2 n/2 / n 3/4 √ log q).
Everything you should know about online voting

Online voting has been presented as the means to ensure faster, clearer results, mainly in close races. What complexities lie behind this claim? Will we ever replace paper-voting with a technological solution?
El poder del lenguaje positivo; salva y cambia vidas, en el aula de clase

Through drawing and words, our emotions are manifested,&nbsp;because they express our feelings and thoughts. Using&nbsp;positive language brings out the best in ourselves, it has a&nbsp;power in our state of mind.&nbsp;By choosing positive words, the teacher voluntarily and&nbsp;with consent when addressing students on a day-to-day&nbsp;basis, contributes to developing their students’ self- esteem&nbsp; in the classroom. In this very simple way, you can make&nbsp;the routine days and the environment at school; something&nbsp;much more enjoyable and motivating. The teacher must&nbsp;publicly reinforce the positive stimuli to the student and&nbsp;highlight with positive motivating words; highlighting your&nbsp;skills, abilities and skills; generating a cozy and pleasant&nbsp;atmosphere.