Reviewerly/exHarmony huggingface dataset:
AN INVESTIGATION ON INTERACTIVE THEMES APPERTAINING TO DESIGN EDUCATION, AS CONCEPTUAL COMPONENTS OF A SYSTEM

Design education is a highly interdisciplinary area of study, reserving continual common problematics that have close affiliation with technological change, communicative tools or periodic social tendencies, as well as cognitive approaches. This complex operational network necessitates a heuristic approach, involving systemic and intuitive processes synchronously. Aim: Considering the traditional arduousness of defining, measuring or even predicting the existing or probable quantifiable outputs of an educational model focusing on various design disciplines, a basic framework for a conceptual model basing interactive association is constructed, using extensively adopted words or phrases to clarify possible connections for giving way to foreseeable creative ideational strikes in a sustainable educative process. Method: Stated words and phrases are coded and positioned on a comprehensive base quoted from the literature, followed by a mapping via eight generic titles that are used as a tool set for making a classificative settlement on a specific table, peculiar to the research. Components of the table are planned to be associated for an interactive interpretation through the discussion, in the light of the research aims. Results: Intraindividual methodical operation process of this study has shown the decisive effect of systemic thinking in formulating a theoretical guideline for a futuristic design education approach. Particular outcomes point out the actual dominancy of interactive educative models across innovative activities. Conclusion: Particular findings of the research point out that a systems oriented prudential educational guideline, formulating the utilization of intuitive thinking, would revive future-proof approaches concerning design education. Primarily emphasized conceptual factors that are proposed to focus on design education in the light of inferences of this study, are introduced as systemic reasoning, temporal fluidity of educative concepts, cognitive interaction, sustainable innovation and flexible conceptual platforms.
Admissible Inference Rules and Semantic Property of Modal Logics

Firstly semantic property of nonstandart logics were described by formulas which are peculiar to studied a models in general, and do not take to consideration a variable conditions and a changing assumptions. Evidently the notion of inference rule generalizes the notion of formulas and brings us more flexibility and more expressive power to model human reasoning and computing. In 2000-2010 a few results on describing of explicit bases for admissible inference rules for nonstandard logics (S4, K4, H etc.) appeared. The key property of these logics was weak co-cover property. Beside the improvement of deductive power in logic, an admissible rule are able to describe some semantic property of given logic. We describe a semantic property of modal logics in term of admissibility of given set of inference rules. We prove that modal logic over logic 𝐺𝐿 enjoys weak co-cover property iff all given rules are admissible for logic.
Evaluasi Kualitas Informasi Perusahaan Tercatat di Bursa Efek Indonesia Periode 2018-2019

One of the main sources of information about go public firms is from the official website of the capital market. In Indonesia, it is www.idx.co.id. Public firms have obligation to submit annual report and other corporate actions through this website. If all firms fulfill their obligation to submit annual report, the number of listed firms should be equal to the number of the annual reports submitted. Unfortunately, this is not the case. This study will evaluate the concistency of the information in IDX website, by comparing the number of listed companies and the annual reports that were submitted by those firms. The period used is two years, covering 2018 and 2019 period. Results reveal that according to the website, there are 737 listed firms, but this research shows that the number of listed firms in 2018 and 2019 are 785 and 792, respectively. There are also some inconcistencies between the number of annual reports submitted, which are 48 annual reports (2018) dan 55 annual reports (2019) that were submitted by firms that were not listed in the web for the respective year. Another inconcistency it that there are 47 and 20 firms for the year 2018 and 2019, respectively, that did not submit the annual reports. The contribution of this study is to evaluate the consistency of the information presented on the www.idx.co.id page and not many researchers have­done the same.
Online courses quality and distance education amid COVID-19 pandemic: Al-Balqa applied university-IT faculty students' perceptions

The world woke up to the news of the coronavirus disease of 2019; (COVID-19) pandemic grabbing its claws on all aspects of life; bringing most human beings' activities to stand still. Jordan, as all countries, was not immune to the pandemic; academics and students had to adjust and be part of this abrupt transition by finding ways to embrace distance education, not as part of blended education, where traditional and distance forms are combined, but as a comprehensive individual means of imparting and obtaining education. The aim of this study is to measure the level of students' satisfaction in Prince Abdullah bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University: on the quality of the online courses and the distance education experience driven by the pandemic. The results of this study show that there are gender-related differences in the perceptions of the quality of the online courses and distance education.
Multiproxies Adaptive Distribution Loss with Weakly Supervised Feature Aggregation for Fine-Grained Retrieval

Fine-grained retrieval is one of the complex problems in computer vision. Compared with general content-based image retrieval, fine-grained image retrieval faces more difficult challenges. In fine-grained image retrieval tasks, all classes belong to a subclass of a meta-class, so there will be small interclass variance and large intraclass variance. In order to solve this problem, in this paper, we propose a fine-grained retrieval method to improve loss and feature aggregation, which can achieve better retrieval results under a unified framework. Firstly, we propose a novel multiproxies adaptive distribution loss which can better characterize the intraclass variations and the degree of dispersion of each cluster center. Secondly, we propose a weakly supervised feature aggregation method based on channel weighting, which distinguishes the importance of different feature channels to obtain more representative image feature descriptors. We verify the performance of our proposed method on the universal benchmark datasets such as CUB200-2011 and Stanford Dog. Higher Recall@K demonstrates the advantage of our proposed method over the state of the art.
Information Literacy of a Foreign Language Teacher: An Analysis of Russian and European Professional Standards of Teachers

The introduction of information and communication technologies into the educational process began more than twenty years ago, along with the rapid spreading of computers around the world. However, not all educational institutions have supported the inclusion of information and communication technologies into the educational process for the above-mentioned quite a long period of time. Most likely, this was due to insufficient financial investments in modernization. In addition, insufficient attention was initially paid to training of teachers for working with digital technologies. At present, when information and communication competence has already been included into all international standards for teachers, it turned out that neither graduates from teacher training institutes nor teachers who have been working for already a long period of time have sufficient competencies for using digital technologies in practice. A comparative analysis of Russian and European professional standards for teachers is carried out, and the competencies they should possess are considered. Various versions of the information literacy definitions are given, which have undergone changes in the technological development process. Special attention is paid to the requirements for competencies of foreign language teachers in the field of digital technologies. The list of the currently available digital tools, including mobile devices, is discussed. The students actively use such technologies to learn languages, but to yield a really positive effect, digital tools should be integrated directly into the educational process in a professional manner. The experience of work with digital technologies gained by the teachers of the NRU MPEI Department of Foreign Languages is considered. A conclusion has been drawn, according to which a high level of information literacy enables teachers not only to change their own pedagogical methods, but also to open new horizons for their students, who, in turn, gain access to high quality education.
Pengaruh Pembelajaran E-Learning Berbasis Media Sosial Terhadap Motivasi Belajar Siswa Kelas IV SDN Sindangwangi 03 Kabupaten Brebes

The purpose of this study was to determine the effect of social media-based e-learning on  motivation of fourth grade students of SDN Sindangwangi 03, Brebes. This type of research uses quantitative research methods, with a Pre Experimental Design model in the form of one group pretest-posttest design. The data study were obtained through interviews, questionnaires and documentation. Based on the results of data analysis, it is known that the average score of students 'final motivation is higher than the average score of students' initial motivation (80.708> 39.583. While the average result of the final motivation score filled in by parents is higher than the average initial motivation score (82,500 > 41,417). The results of the one-party t-test analysis were obtained t-count amounting to 26,508 and t-table amounting to 1,714. and a significant level of 0.05, because t-count > t-table namely 26,508  1,714 so that h0 rejected ha accepted. While the results of the t-test calculation of the students' parent / guardian questionnaire were obtained t-count amounting to 30,429 and t-table amounted to 1,714. and a significant level of 0.05, because because t-count > t-table namely 30,429 1,714. so that h0 rejected ha accepted. meaning that there is an effect of social media-based E-Learning on learning motivation of fourth grade students of SDN Sindangwangi 03, Brebes Regency.
Smart robotic rover enhancement in safety monitoring

Today in Malaysia, there is no available, affordable and portable liberating unmanned ground vehicle used in rescuing mission. Thus, this study focuses on enhancing a smart unmanned ground vehicle known as robotic rover, to assist the human authorities during the hazardous condition. The present smart robotic rover has three main functions which are proposed to move robotic rover through obstacles surface, detect the leakage of dangerous gases and monitoring for collect information in a hazardous condition. The laboratory tests on this rover was successfully conducted and the results proved the ability of the rover. The rover will secure and safe the rescuer life rather than putting at the hazardous condition. Also, the rover gives a benefit to the endangered location to be secured faster and better. The advantage of this prototype rover is affordable and portable. This rover is simple and easy to handle. Hence, adequate to improve the rescuer skills in handling robotic rover in Malaysia.
Theoretical fundamentals of formation of educational and cognitive activity in higher education institution

The article highlights the theoretical foundations of the organization of educational and cognitive activities in higher education. The conditions for stimulating the development of academic competencies are analyzed. Measures to support the development of academic competencies are identified. The results of work on the development of academic competencies in students of higher education are analyzed. It was concluded that sets of practical skills that ensure the success of educational work; intellectual skills; qualities and personal qualities; preparation (experience) for educational activities, to achieve high results. Thus, the main idea of the organization of training aimed at the formation of competencies, consists of the integration of various disciplines in the field of training generalized decision-making skills for cognitive and professional problems.
Implementasi Text Recogniter yang Diterjemahkan ke Bahasa Lain dengan Firebase Ml-Kit Berbasis Android

Each community area has information, announcements and news made in a picture, pamphlet or poster. However, there are a lot of foreign languages in the information that are not understood by most people because of the lack of literacy in foreign language learning for the community, for that the author makes research on text recognition. Recognition or detection of text characters is also known as optical character recognition (OCR), which converts handwritten or printed text into data that can be edited and read by the system. After the text is converted into written form, the text is then converted from a foreign language (English) and then converted become Indonesian. This study uses observation and literature study in collecting information and materials for research, while for the method of making the system using prototyping which the system can be developed more quickly. The results of this application can help the people of Gunungendut Village to overcome the problem of understanding foreign language info that is in the image so that it is easy to understand using a mobile application.
A Decidability-Based Loss Function

Computer vision problems often use deep learning models to extract features (or embeddings) from images. Moreover, the loss function used during training strongly influences the quality of the generated embeddings. In this work, a loss function based on the decidability index is proposed to improve the quality of embeddings for the verification task. Our proposal, the D-loss, yields faster convergence for training and is parameter-free compared to Triplet-based loss approaches. Moreover, it avoids some disadvantages such as the use of hard samples and tricky parameter tuning. The proposed approach is compared against the Softmax (cross-entropy), Triplets Soft-Hard, and the Multi Similarity losses in four different benchmarks: MNIST, Fashion-MNIST, CIFAR10, and CASIA-IrisV4. The achieved results show the efficacy of the proposal when compared to other popular metrics in the literature. The D-loss computation, besides being simple, non-parametric and easy to implement, favors both the inter-class and intra-class scenarios. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>
Upper Bounds for the Probability of Differential Characteristics of Five Block Cipher Constructions Functions

Block ciphers have the main role in the communication and information security and also electronic and cyber defense. A secure block cipher must be resistant against the known attacks, such as the differential cryptanalysis. Kim et al. presented seven block cipher constructions with provable security against          differential cryptanalysis in 2008, which can be used to design the block ciphers. In this paper, for five of the seven mentioned block cipher constructions, the upper bounds on the probability of differential       characteristics have been presented. This has been done using an automated differential cryptanalysis     approach based on linear programming. This approach formally introduced by Mouha et al. in 2011, was used for the analysis of several block ciphers.  Using the Mouha et al.’s approach, it is shown that the      five-round differential characteristics of the constructions have the upper bound p 4 which are approvable in comparison with the upper bounds of the differentials obtained by Kim et al. where p is the differential probability of the round function used in the constructions.
Image Classification, Object Detection, Semantic Segmentation Using AWS

With more advancement in technology of object detection, Computers can detect, localise, and distinguish visually detectable items in photos and movies. A image may consist of a single frame that records a single-static instance of a naturally occurring event. Earlier, people had to detect the object using sensors. Technology is developed widely utilized by information technology giants is cloud computing. In corporate sector, the most of the businesses using cloud computing technology and with the help of this technology performs object detection through image using Amazon Web Services. The proposed system was used different techniques on image such as Classification, Detection, and Segmentation by using AWS Sagemaker to train and deploy the respective algorithms as Resnet-18,VGG-16,FCN+ResNet50.
The Impact of Adobe Flash Media on Increasing Students’ Critical Thinking Ability

Learning in Industrial Revolution Era 4.0 is plotted to integrate the use of technology and information optimally.The optimal use of technology and information is intended to develop students' critical thinking skills.However, it is known that the use of media in economics learning in high school is still not optimal, so students' critical thinking skills are not optimally developed.This study aims to examine the impact of the use of adobe flash media in improving students' critical thinking skills.The study employed the quasi-experimental research method, and cluster random sampling is used to determine the experimental group and the control group.The results of this study demonstrate that adobe flash media has a significant effect on increasing students' critical thinking skills in economic learning.It is indicated by the acquisition of t = 0, 000 with a significance level of <0.05.Furthermore, the average critical thinking ability of students in the experimental class increased by 22 points after learning using adobe flash media.In addition, the average critical thinking ability of students in the experimental class was 8 points higher than the students in the control class.
EMPLOYEE PERFORMANCE MEASUREMENT MODEL WITH ROUGH SET APPROACH

Performance is a behavior that every person has as a work performance that is produced by employees in accordance with their role in the company. Timeliness, Effectiveness, Work Commitment and Independence are believed to be able to influence employee performance in achieving predetermined goals. Data mining has grown rapidly and adds value to information stored in databases. One of the fairly simple data mining algorithms is the Rough Set. The research application of the Rough Set algorithm is to analyze employee performance using the rought set method on the employees of Cafe Dapoer Enha Sago, Pesisir Selatan Regency by analyzing 10 employees with the results in this study are as follows; Based on the number of 10 samples of Dapoer Enha Sago employees who have been tested using the Rought set application, it can be seen that the results are that the performance appraisal of 10 Dapoer Enha Sago employees shows good results 3 employees and 7 employees who have very good performanc
남자 대학생의 8주간 넙다리뒤근 웨이트 트레이닝이 H/Q ratio와 H/Q FI에 미치는 영향

PURPOSE: This study aimed to examine the effects on the hamstring/quadriceps ratio (H/Q ratio) and H/Q ratio fatigue index (H/Q FI) of the knee joint of an 8-week weight training to improve the hamstring muscles of male college students.METHODS: Twenty male college students were divided into two groups: an exercise group (EG) and a control group (CG). The EG participated in an 8-week hamstring weight training program, working out twice a week, 60 min per session, with a 60-80% 1RM and 12-16 RPE intensity. The peak torque, H/Q ratio, and H/Q FI were measured, and a t-test was used to verify the statistical significance of the difference between the pre- and post-intervention results.RESULTS: The right flexor peak torque at 60°/sec increased by 14.10±9.60%BW in the EG and decreased by -9.00±16.55%BW in the CG, showing a significant difference between the groups (p<0.01). The left flexor peak torque increased by 6.60±12.31%BW in the EG and decreased by -5.10±10.68%BW in the CG, showing a significant difference between the groups (p<0.05). The left extensor peak torque decreased by -5.40±19.53%BW in the EG and by -28.40±25.70%BW in the CG, showing a significant difference between the groups (p<0.05). The H/Q ratios tended to increase, but the difference was not significant.CONCLUSIONS: To prevent injuries and stabilize the knee joint, the central joint of the lower extremity that plays an important role in daily life and sports activities, hamstring weight training can be performed to maintain the H/Q ratio within the normal range.
Cascade of Biased Two-class Classifiers for Multi-class Sentiment Analysis

This research work has been partially funded by the Generalitat Valenciana (Conselleria d'Educacio, Investigacio, Cultura i Esport) and the Spanish Government through the projects SIIA (PROMETEO/2018/089, PROMETEU/2018/089) and LIVING-LANG (RTI2018-094653-B-C22), and the Vice Chancellor for Research and Postgraduate Studies Office of the Universidad Catolica de Temuco, VIPUCT Project No. 2020EM-PS-08; FEQUIP 2019-INRN-03 of the Universidad Catolica de Temuco
SISTEM INFORMASI PENDAPATAN TERHADAP PEMESANAN JAHITAN PADA NISA COLLECTION MEDAN

The development of information technology in this era of globalization is very fast, where information can be obtained quickly by information users. An information system is needed in every business organization, which functions as a support for information services. Nisa Collection is one of the business units in manufacturing services of clothes. The process of ordering clothes Nisa Colletion is carried out in a conventional way, where employees will record the necessary data in the sewing order book. The problem that sometimes occurs is business owner does not know the number of customers or orders in their business units quickly and accurately. This can make difficulty for business owner to find out the income from their business units. The system designed is expected to solve this problem.
Hand bone conduction sound study by using the DSP Logger MX 300

Bone conduction is the transmission of acoustic energy to the inner ear by different paths involving the bones of the skull. In this work, we use the path the hand provides in order to transmit the sound coming from the cell phone using the Bluetooth system. The aim of this work was to study the vibrations produced by a sound transmitted through bone conduction between a mobile phone and the hand analyzed with the DSP Logger MX equipment.
IMPROVING STUDENT'S MOTIVATION AND LEARNING RESULTS IN IPS LESSONS THROUGH THE DEBATE METHOD IN CLASS IV ELEMENTARY SCHOOL

This classroom action research aims to determine the increase in motivation and learning outcomes in social studies subjects through the Debate Method, in fourth grade students at SDN 1 Anggrek District, North Gorontalo Regency. The subjects of this study were 25 students, consisting of 12 male students and 13 female students. In understanding the concept of social studies learning, students experienced an increase in each indicator, where the indicator restated a concept in the first cycle of action to reach 70% then increased to 76% in the second cycle. Presenting concepts in various forms of representation in the first cycle reached 52%, an increase in the second cycle by 72%. Furthermore, the indicator explains that in the first cycle it is 58% thenin the second cycle it increases to 74%. The indicators analyzed in the first cycle reached 70% and increased in the second cycle by 77%. And on the indicator of developing in the first cycle of 56% then increased to 74% in the second cycle of action. Thus learning through the debate method can increase student motivation and learning outcomes.