Reviewerly/exHarmony huggingface dataset:
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)

We develop a RGB-D scene recognition model based on object-scene relation(RSBR). First learning a Semantic Network in the semantic domain that classifies the label of a scene on the basis of the labels of all object types. Then, we design an Appearance Network in the appearance domain that recognizes the scene according to local captions. We enforce the Semantic Network to guide the Appearance Network in the learning procedure. Based on the proposed RSBR model, we obtain the state-of-the-art results of RGB-D scene recognition on SUN RGB-D and NYUD2 datasets.
Strategies of Translating Lexical Collocations in Literary Texts from English into Arabic

The present study investigates the translation of lexical collocations in literary texts from English into Arabic in light of the translation strategies used by some translators. Two English literary works have been translated into Arabic are used. (151) Lexical collocations were extracted from the two literary works. The study attempts to shed light on how translators deal with collocations when transferring them to the target language, and whether the target text fulfills the linguistic and stylistic characteristics of the collocations or not. Three questions are investigated: 1- What happens to collocations when they are translated?. 2- How do translators deal with collocations?. 3- What strategies do translators adopt in translating collocations in literary texts?. The findings of the study indicate that collocations can be translated through using different strategies. The literal translation strategy is used as the most frequent strategy in translating collocations in literary texts. The second strategy is modulation, etc. In some cases, collocations are translated into one word that represents a target text equivalent of the source text word combination.
PENGARUH MEDIA PEMBELAJARAN INTERAKTIF TERHADAP HASIL BELAJAR KBGT DI SMKN 1 PADANG

In this research, it is done that is improving student learning outcomes. In observations carried out, the low student learning outcomes in engineering workshops and engineering drawings at SMK Negeri 1 Padang. This study aims to determine whether there is an influence on the results of interactive media learning on the engineering workshops and engineering drawings class X TAV SMK Negeri 1 Padang Academic Year 2018/2019. Sampling is the experimental class X TAV A using interactive media and the X control class TAV B does not use interactive media. The final post-test data collection technique is then analyzed for homogeneity, normality test and hypothesis test. The results of the experimental class obtained an average value of 77.8, while the control class obtained an average value of 74. The results of the calculation of the hypothesis at the significance level α = 0.05 were obtained tcount&gt; t table is (2.75&gt; 1.677), because tcount &gt; table, the null hypothesis (H0) is rejected and the alternative hypothesis (H1) is accepted. Interacktive media provides a greater increase in learning outcomes which is 5.13%. It can be concluded that interactive media is better than not using interactive media.Keywords: Learning outcomes, interactive media, and engineering workshops and engineering drawings.
AN ANALYSIS OF STUDENTS’ SKRIPSI ERRORS IN USING ARTICLES AT ENGLISH EDUCATION STUDY PROGRAM OF IKIP GUNUNGSITOLI YEAR 2018/2019

Writing skripsi is an obligatory scientific work for students at the last semester at English education study program of IKIP Gunungsitoli. It is done through a research. The research is conducted based on a certain research design. Teacher-researcher did a research to describe what article errors done by the students, how many times the students are writing article errors and why the students cannot revise the article errors successfully particularly in Chapter I. The data source was from the three skripsi done by three students who graduated faster, 3 years and half. As the research findings, the teacher-researcher found there were three kinds of article errors done by the three students in their skripsi in Chapter I namely indefinite article (a, an), definite article (the) and zero article. It’s concluded that the article errors which were done by the three students who wrote their skripsi are indefinite articles (a, an), definite article (the) and zero article, the three students write article errors as 34 times of 27 sentences and the three students cannot revise the article errors successfully because lack of knowledge of using articles as well as lack of attention to find out proof readers to make better papers.
KOMPETENSI MENGANALISIS TEKS OBSERVASI DENGAN MENGGUNAKAN STRATEGI MIND MAPPING PADA SISWA KELAS IX SMP IT LUBUK CEMARA TAHUN PEMBELAJARAN 2020-2021

The study with the title Competence Analyzing Observation Tekts Using Mind Mapping Strategies in Class IX High School Students IT Lubuk Cemara 2020-2021 Academic aims to determine the effectiveness of the mind mapping strategy used in learning to analyze content and linguistic aspects. Writing observational tekts is an activity of writing with the aim of megajak, encouraging, persuading, influencing the reader to want to follow the writer's will. Although students were initially able to make Observation TeIXts, they began to get bored with writing due to the lack of procurement of educational facilities and infrastructure that did not follow the development of science and technology so that the teaching and learning process became passive and students were less interested in learning to make linguistic aspects in the form of observational content and teIXts. Theoretical review shows that learning to write linguistic aspects in the form of content and observation class IX using mind mapping strategies is more successful than without learning mind mapping strategies. This provides inspiration for writers to use learning to use mind mapping strategies in writing observation tekts. The formulation of the problem in this study are: the effect of learning using a mind mapping strategy to analyze the observation tekts of  IT Lubuk Cemara High School Year 2020-2021. The conclusion obtained from this study is the learning outcomes of students who use mind mapping strategies in analyzing the aspects of language in the form of higher content and observation teIXts with an average value of 78.02, compared to without using a mind mapping strategy with an average value of 70, 75 which is in the medium category. The use of mind mapping strategy has an effect of 10.27% on learning to analyze linguistic aspects in the form of content in the observation tekts. This means that there is a significant positive effect between learning using mind mapping strategies to analyze aspects of language class IX students of IT Lubuk Cemara  2020-2021 Academic Year, declared correct and acceptable. Keywords: Te kts , Obervasi, Mind Mapping
A SYNTACTIC-BASED SENTENCE VALIDATION TECHNIQUE FOR MALAY TEXT SUMMARIZER

In the Automatic Text Summarization domain, a Sentence Compression (SC) technique is applied to the summary sentence to remove unnecessary words or phrases. The purpose of SC is to preserve the important information in the sentence and to remove the unnecessary ones without sacrificing the sentence's grammar. The existing development of Malay Natural Language Processing (NLP) tools is still under study with limited open access. The issue is the lack of a benchmark dataset in the Malay language to evaluate the quality of the summaries and to validate the compressed sentence produced by the summarizer model. Hence, our paper outlines a Syntactic-based Sentence Validation technique for Malay sentences by referring to the Malay Grammar Pattern. In this work, we propose a new derivation set of Syntactic Rules based on the Malay main Word Class to validate a Malay sentence that undergoes the SC procedure. We experimented using the Malay dataset of 100 new articles covering the Natural Disaster and Events domain to find the optimal compression rate and its effect on the summary content. An automatic evaluation using ROUGE (Recall-Oriented Understudy for Gisting Evaluation) produced a result with an average F-measure of 0.5826 and an average Recall value of 0.5925 with an optimum compression rate of 0.5 Confidence Conf value. Furthermore, a manual summary evaluation by a group of Malay experts on the grammaticality of the compressed summary sentence produced a good result of 4.11 and a readability score of 4.12 out of 5. This depicts the reliability of the proposed technique to validate the Malay sentence with promising summary content and readability results.
Influence of a university teacher virtual image on the students’ morality character

The ability to form a positive image of a university teacher is one of the most significant aspect for increasing the prestige and influence of this profession. The relevance of the topic depends on the situation that arose against the background of the COVID-19 pandemic and the forced move to remote learning. The authors of the article analyzed the studies of Kazakhstani and foreign experts on the image phenomenon. There is given a definition of the essential content of the “image” concept. There have been determined the criteria for matching the categories of components that make up the image. There have been identified the functions of the teacher’s image in education. There are determined main characteristics of a university teacher’s image. A number of technologies for formation of a positive image of a teacher are described. The article presents the results of a study conducted among students of a Kazakhstani higher educational institution. The research identified the main image-forming qualities of a modern teacher and their impact on the educational process. The authors propose own technology for creating a positive image of a university teacher based on the results of the study and studied theoretical foundation.
Decision Support System Design for Determining Exemplary Lecturer using Simple Additive Weighting (SAW)

STMIK AKAKOM has 67 lecturers. In each semester, an evaluation is held to determine lecturers’ performance to maintain good institutional quality. The evaluation process is based on students’ and Department Quality-Assurance Team (DQAT) assessments. Up until now, the results of these evaluations were left unprocessed. This study aimed to determine well-performed and less-performed lecturers by combining evaluation results from students and DQAT using the simple additive weighting (SAW) method. There are 17 criteria used in this study with different weight values. The results showed that the technique determined the lecturers’ ranking significantly based on their respective performance. The most well-performed lecturer is L40 with Vi (order for lecturer) value of 0.95, the second is L41 with Vi value of 0.92, and the third one is L25 with Vi of 0.91, while the most under-performed lecturer is L67 with a Vi value of 0.72.
THE ANALYSIS OF USING TV (THEMATIC VOCABULARY) CARDS IN INCREASING THE STUDENTS’ ENGLISH VOCABULARY

This study aims to determine whether Thematic Vocabulary (TV) Cards media can improve the vocabulary of students in primary school. In order to achieve the objectives of the study, the researcher designed an action research which consisted of pre-test, 3 cycles of treatment, and post-test. The subject of this study was the students of SMK N 1 Lhokseumawe, with the number of the subject was 26 students; 9 males and 17 females. 2 meetings were held during the research in which the students had to join test and also cycles of treatment which consisted of quizzes and various activities by using TV Cards as the media. which used the Sugiyono’s model (2016:298) with adaptation. The data collecting through interview, questionnaire, documentation, and test. The result of this study showed there was a significant improvement made by the students in identifying and remembering new English vocabulary available in the given descriptive texts. Pre- test result showed 27 % of students scored less than 50; 69 % students scored 51- 75; and only the rest of them scored more than 76, meaning that the average score of the class was still low, which was only 54.10. After conducting Post- test, it could be seen that no student scored less than 50; only one student scored 73; and the rest of them successfully scored above 76. Compared to Pre- Test’s result, the Post- Test’s showed the better average score, which increased up to 79%. In line with the result, Some suggestions are offered for teachers to be a facilitator in creating effective learning activities, to be able to make teaching and learning process more interesting, enjoyable and educative.
Extending Policy Shaping to Continuous State Spaces (Student Abstract)

Policy Shaping is a Human-in-the-loop Reinforcement Learning (HRL) algorithm. We extend this work to continuous states with our algorithm, Deep Policy Shaping (DPS). DPS uses a feedback neural network that learns the optimality of actions from noisy feedback combined with an RL algorithm. In simulation, we find that DPS outperforms or matches baselines averaged over multiple hyperparameter settings and varying feedback correctness.
A Novel Approach of Automatic Judgment for Subjective Questions

Most subjective questions in many traditional examination systems are still scored manually by teachers with low efficiency. This paper proposes a novel approach that develops a similarity calculation model, which combines the Word2Vec model and the keyword weight TF-IDF algorithm to automatically score subjective questions. The paper utilizes TF-IDF method to obtain keywords and their weights, to calculate word vectors and sum of weights and get a vector representation of each text; the model proposes the text-similarity vectors via the cosine similarity formulas. The experimental results show that the proposed approach can be utilized in various fields without labeled training sets in advance and takes less calculation time. The relative errors of the model and manual scores are maintained less than 10%, the average accuracy is as high as 95%.
Prediksi Penyakit Ginjal Kronis Menggunakan Hibrid Jaringan Saraf Tiruan Backpropagation dengan Particle Swarm Optimization

The number of Chronic Kidney Disease patient increased year by year while it doesn’t following by sufficient human resources and infrastructure needs the information of Chronic Kidney Disease patient prediction. Prediction of Chronic Kidney Disease patient is necessary to be done as an anticipation for preparing the better human resources and infrastructure that will effect to patient survival rate. In this study, backpropagation artificial neural network and particle swarm optimization combination used to predict the number of Chronic Kidney Disease patient. Artificial Neural Network has the ability in time series data prediction, such as the number of Chronic Kidney Disease year by year. But, backpropagation artificial neural network has a weakness in weight inisialization which taken unoptimally that could cause bad convergence speed. Particle swarm optimization will resolve the backpropagation artificial neural network weakness by weights optimization that will used in backpropagation artificial neural network. The Artificial Neural Network and Particle Swarm Optimization have several parameters, such as the number of hidden layer neuron, learning rate, and swarm. This research is using RSUD Banyumas Chronic Kidney Disease patient data in 2011 until 2020. Matlab R2019a used in this research as a software to predict chronic kidney disease patient data. The test results shows the prediction accuracy based on Mean Squared Error value is 0,0370 using 12-16-1 artificial neural network architecture, 0.005 learning rate, 1250 epochs and 50 swarms
New Semi Quantitative Approach for Interpreting Vertical Electrical Sounding (VES) Measurements by Using Fractal Modeling Technique, Case Study from Khanasser Valley, Northern Syria

Fractal modeling technique, with adapting the concentration-number (C-N) model and the threshold break points concept is newly proposed to interpret vertical electrical sounding (VES) measurements distributed along a given profile. New semi quantitative approach is consequently proposed to rapidly differentiate between different apparent resistivity populations, where 2D semi quantitative interpretation and a primary geological analysis could be constructed. The new technique is practiced and tested on a case study taken from Khanasser Valley, Northern Syria, where different selected profiles (LP1, LP2, LP3, and TP5) are interpreted. The availability and the feasibility of the proposed approached are confirmed and approved through the different comparisons between the multi fractal established cross sections and the traditional 1D VES interpretation models. It is recommended to routinely use this new proposed fractal approach in the geoelectrical researches for interpreting VES measurements distributed along a given profile.
BOPENS: An Interactive Media To Help Student in Remote Areas During Pandemic

Decree of the Minister of Education and Culture RI Number 4 of 2020 Regarding the Implementation of Education Policy in Period Emergency Spreading Corona Virus Disease (Covid-19) so that the learning process starts from the level of Paud up to college doing online learning. However, not all students stay in remote areas can take part online learning this is due to limited internet access and electricity. Therefore to help the learning process continues, the authors provide an audio based interactive learning media BOPENS (book e-Pens) pen (e-Pens) on SAINTEK material that can help students understand learning materials at home with facilities complete audio explanation of the material, discussion of practice questions, MP3, and Recording.
Village of Berbek (Bumber) Business Sign System Design

Bomber is an endeavor the village earth belongs to the village of Berbek. The bomber was founded in October 2019. This business is moving in the field of selling stationery supplies and services for college and office needs. There are several problems faced by Bumber, namely the creation of the Bumber logo not designed based on considerations in making a good logo. So that the logo does not reflect Bumbers character/identity/business image. Stand size not too big give the impression and feel cramped. So its not easy to see potential customers. Banner material is not durable, so it must continue updated and requires continuous banner creation costs. Sign laying identifier is not well conceptualized, so put it carelessly, and even on the shoulder of the highway which can endanger road users. Location of the parking lot irregular because there is no sign indicating where to park. This business is still classified just started, so it still needs a lot of attractive promotional media in order can get a lot of customers. From the problems described above, then this community service aims to solve the problem by redesigning the Bumber logo which can imitate Bumber, designed the sign system for communicating Bumbers presence, and design promotions to increase the number of subscribers. To achieve this goal the Community Service Program uses both the preparation stage and the creation stage method. The preparation phase includes data collection (observation, interviews, questionnaires) and determining the media. Then the creation stage includes pre-production (verbal concepts, visual concepts, media concept), production (alternative design, final design, media execution), and post-production (media application, evaluation)
FEATURES OF DEVELOPMENT OF CADET’S ACADEMIC COMPETENCE IN THE PROCESS OF TRAINING IN HIGHER EDUCATION INSTITUTIONS OF THE MINISTRY OF INTERNAL AFFAIRS OF THE REPUBLIC OF BELARUS

The academic competence of cadets is the basis for the formation of professional and social-personal competence of a specialist. Academic competence is a set of skills to independently obtain, process and apply knowledge in the field of jurisprudence, as well as to study and explain from a theoretical point of view the phenomena associated with the implementation of law enforcement. The specifics of training in higher education institutions of the Ministry of Internal Affairs predetermines the need for a systematic organization of activities to develop the academic competence of cadets. The article describes the stages of designing the educational process, taking into account the stages of professionalization of cadets in the learning process.
The use of productive technologies of professional education as a means of developing critical thinking and forming the subject of future teachers

The article describes the actual problem of the development of critical thinking and the formation of the subjectivity of the future teacher in modern conditions. A theoretical analysis of the literature on the problem considered is presented. On the basis of the analysis, in accordance with the purpose and subject of the research, the definitions of the concepts "subjectivity" and "critical thinking", specified by the author of this article, are given. The course and results of experimental work on the development of critical thinking and the formation of subjectivity of future teachers are described. The article provides the rationale for the developed diagnostic complex of methods necessary for the study. As a hypothesis, the authors put forward the statement that the subjectivity and critical thinking of future teachers do not develop without the use of a complex of productive technologies of professional education. The article provides a rationale for the complex of pedagogical technologies necessary for the development of critical thinking and the formation of the subjectivity of future teachers. The results of the study are presented, confirming the effectiveness of the used complex of pedagogical technologies and the dynamics of the formation of the studied personality traits of the future teacher.
Agricultural Information Need of Smallholder Farmers in Chitwan District, Nepal

Agricultural information is very essential for smallholder farmers to increase farm production and productivity. However, there is no proper access to accurate and adequate agricultural information to smallholder farmers. This paper attempts to identify the existing agricultural information source and the agricultural information need of the smallholder farmers along with usefulness of the provided agricultural information. Household level data were obtained from four wards of Bharatpur metropolitan of Chitwan district during 2019. The result showed agrovet shops as most common source of agricultural information for smallholder farmers. The most needed agricultural information was about input market and prices followed by disease and pest control. Moderately useful agricultural information was provided to smallholder farmers. Findings of this research suggest that context specific agricultural information should be provided through the existing channels to the smallholder farmers.&#x0D; Int. J. Appl. Sci. Biotechnol. Vol 9(2): 94-97.
Enabling Fast Instruction-Based Modification of Learned Robot Skills

Much research effort in HRI has focused on how to enable robots to learn new skills from observations, demonstrations, and instructions. Less work, however, has focused on how skills can be corrected if they were learned incorrectly, adapted to changing circumstances, or generalized/specialized to different contexts. In this paper, a skill modification framework is introduced that allows users to modify a robot’s stored skills quickly through instructions to (1) reduce inefficiencies, (2) fix errors, and (3) enable generalizations, all in a way for modified skills to be immediately available for task performance. A thorough evaluation of the implemented framework shows the operation of the algorithms integrated in a cognitive robotic architecture on different fully autonomous robots in various HRI case studies. An additional online HRI user study verifies that subjects prefer to quickly modify robot knowledge in the way we proposed in the framework.