Reviewerly/exHarmony huggingface dataset:
An Efficient Dynamic Regulated Fuzzy Neural Network for Human Motion Retrieval and Analysis

Human motion retrieval and analysis is a useful means of activity recognition to 3D human bodies. An efficient method is proposed to estimate human motion by using symmetric joint points and limb features of various limb parts based on regression task. We primarily obtain the 3D coordinates of symmetric joint points based on the located waist and hip points. By introducing three critical feature points on torso and symmetric joint points’ matching on motion video sequences, the 3D coordinates of symmetric joint points and its asymmetric limb features will not be affected by shading and interference of limb on different postures. With the asymmetric limb features of various human parts, a dynamic regulated Fuzzy neural network (DRFNN) is proposed to estimate human motion for different asymmetric postures using learning algorithm of network parameters and weights. Finally, human sequential actions corresponding to different asymmetric postures are presented according to the best retrieval results by DRFNN based on 3D human action database. Experiments show that compared with the traditional adaptive self-organizing fuzzy neural network (SOFNN) model, the proposed algorithm has higher estimation accuracy and better presentation results compared with the existing human motion analysis algorithms.
DEVELOPMENT OF PROBLEM-BASED ENGLISH MATHEMATICS WORKSHEETS FOR INFORMATICS STUDENTS

Mathematics and English can collaborate so that the students in practice on computers are also familiar with mathematical terms in English. This will help the ability of informatics students to understand other materials in the informatics study program. The fact that occurs in learning mathematics and English at Institut Asia campus is that students are still less enthusiastic in pursuing these subjects so that the majority of students have not achieved optimal learning outcomes. In collaborating the English and Math course in learning, the instructional needs learning tools that can help. One of the learning tools needed is teaching materials such as worksheets. The worksheet that will be developed uses a Problem Based Learning approach. The development model adopted is Plomp’s development model which consists of 3 stages, namely preliminary research, prototyping, and assessment phase. The developed math worksheets will meet the criteria of validity, practicality, and effectiveness. Based on the validation test, the score obtained shows that the mathematics worksheet is in the proper category. While the results of the effectiveness test and the results of student responses showed a score of 80.35 and 76.76 or in the effective category and quite feasible.
Animation Based Learning and Traditional Method of Teaching in English Subject: A Comparative Study

The objectives of the study were to compare the effectiveness of animation based learning and traditional method of teaching, to investigate the effectiveness of high, mediocre and low achievers of traditional method of teaching as compared to high, mediocre and low achievers of animation-based learning in English subject at Elementary Level and was conducted at private sector Dar-e-Arqam School Model Town Campus Faisalabad.As the study was experimental in nature therefore, all fourth graders (44) consisted in two sections were selected, first section for control group ( 22) was treated with traditional method of teaching and second section for experimental group (22) was treated with animation-based learning.The Pretest-Posttest Equivalent-Groups Design was selected.Approximately, one month lesson planning was used for both teaching methodologies to teach the fourth graders.Data were collected from the pre-test that was conducted at the beginning of the study and from the post-test that was conducted after treatment.Statistically conclusions of the study went to the favor of animation-based learning and proved that animationbased learning is admirable way of teaching to be taught to comprehensible the grammar concepts as well as to retain the lesson.This kind of study may be conducted at public sector in future.
Prioritizing factors for the successful deployment of digital competence certification systems in schools

This paper identifies and prioritize factors important for successful deployment of digital competence certification systems in primary and secondary schools. In total 298 teachers from six different European countries participated in research while using the newly created on-line platform for digital competence acquisition, assessment and certification for at least six months. Their responses were captured with developed measurement instrument that was based on three constructs from the DeLone & McLean's IS Success Model. The Importance-Performance Map Analysis (IPMA) was conducted both at construct and indicator level. It was shown that System Use should have a bit more advantage over User Satisfaction when it comes to investing in digital competence certification systems.
THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation

This paper describes our system for verifying statements with tables at SemEval-2021 Task 9. We developed a two-stage verifying system based on the latest table-based pre-trained model GraPPa.Multiple networks are devised to verify different types of statements in the competition dataset and an adaptive model ensembling technique is applied to ensemble models in both stages.A statement-slot-based symbolic operation module is also used in our system to further improve the performance and stability of the system.Our model achieves second place in the 3-way classification and fourth place in the 2-way classification evaluation.Several ablation experiments show the effectiveness of different modules proposed in this paper.
Integrasi Logika Matematika dan Nilai-Nilai Keislaman dalam Pengembangan Media Pembelajaran Berbasis Android

Students' efforts to produce instruction media should be supported by the quality of the resulting learning media and can integrate the concept of mathematical logic and the islamic values based on the objectives of the instruction media course. The purpose of this research is to accommodate students to produce quality and integrative instruction media against the concepts of mathematical logic and the islamic values. The research method used is plomp development model. The results showed that the resulting learning media meets the criteria of quality media based on 1) validity covering aspects of content, language, and media, 2) practicality covering aspects of ease of use, attractiveness, and efficiency , 3) effectiveness based on improved student test results. In addition, developed instruction media has met integration indicators with integrative categories.
The impact of assistance in development of different sectors of the economy - the case of Kosovo

Kosovo's economy is young and dynamic. It has been transformed from a decentralized economy to an open market economy. As an important place for business development, Kosovo offers several advantages such as a young and well-qualified population, natural resources, etc. Creating an environment for sustainable economic growth and improving competitiveness has been the main focus of supporting various donors (World Bank/WB, United States Agency for International Development/USAID, etc.) for Kosovo from the transition from crisis to long-term development, working closely with the Government of Kosovo to face challenges and mitigate obstacles by building a sound and market-based economy. This paper is bringing an overview of economic development in Kosovo and provides an analysis of the impact of donors in the development of various economic sectors, especially during the most delicate period that Kosovo has gone through and specifically the transition to an open market economy. The purpose of this study is to prove and demonstrate the impact of donor assistance on economic development in various sectors in Kosovo as a necessary tool to maintain the sustainability of best practices in any field of economics and based on the findings of the study to express our views.
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021

This paper describes Edinburgh's submissions to the IWSLT2021 multilingual speech translation (ST) task.We aim at improving multilingual translation and zero-shot performance in the constrained setting (without using any extra training data) through methods that encourage transfer learning and larger capacity modeling with advanced neural components.We build our end-to-end multilingual ST model based on Transformer, integrating techniques including adaptive speech feature selection, language-specific modeling, multitask learning, deep and big Transformer, sparsified linear attention and root mean square layer normalization.We adopt data augmentation using machine translation models for ST which converts the zero-shot problem into a zero-resource one.Experimental results show that these methods deliver substantial improvements, surpassing the official baseline by > 15 average BLEU and outperforming our cascading system by > 2 average BLEU.Our final submission achieves competitive performance (runner up).
Learning Organization and its Effect on strategic success: Analysis of Private Institutions of Erbil Higher Education

To determinate the role of organizational learning across project-based organizations, this study applies a micro-level perspective of organizational learning theory to the social constructivist approach to address relational learning information collaboration that takes into account a strategic perspective involving the development of collective knowledge. The sample was distributed to 180 individuals from different targeted private universities from a total population of 1400 private universities that operate through collaborative ventures to test the research hypotheses. We were able to use 168 surveys in our statistical study after deleting 12 surveys with incorrect responses. Furthermore, value building continues to play a role in bridging the gap between corporate development and long-term strategic growth. Furthermore, exploratory purpose shows a major mediation function in inter-organizational learning, as well as the potential to sustain long-term partnerships with partners, as a beneficial result of partner diversity as a moderate factor. Information convergence was shown to be strongly linked for strategic achievement, as was corporate culture, competences and capabilities, and team cooperation
Building High Performing Schools

Education is most important driver for success of any nation. Therefore, quality of education and its delivery can be a key predictor of success of any society. In spite of good infrastructure and excellent financial backing many schools do not find place in league of top schools. It is a known fact that the present school system is radically different from the model followed in the past. This shift has brought lots of challenges to the Management, Principals, Teachers, staff and other stakeholders. This study is aimed at understanding challenges faced by Indian Schools and identifying drivers for high performance in school education.
Sistem Pendukung Keputusan Pemilihan Mobil Bekas Menggunakan Metode Analythical Hierarchy Process

Showroom Ragasa Motor Padang is a showroom that sells various types of used cars. The old system of selecting used cars in The Ragasa Motor Padang Showroom is that customers come directly to the address of this Showroom and the selection process is still done by manual means. With the development of internet technology today is increasing rapidly and in order to be accessible to everyone, the AHP can do a comparison of the criteria in pairs on the selection of used cars and can determine the consistency of the comparison data paired with a threshold value of &lt; 0.1. The purpose of this research is to make it easier for customers to choose used cars quickly and accurately, as well as the application of programs used to make it easier for customers to use them. The result of this study is the SPK System that was built to be able to take the decision of the selection of used cars in the Showroom Ragasa Motor Padang with the selection of the 2nd alternative with a value of 2.55 as the best choice.
Email Spam Detection using SVM

E-mail contributes to internet messaging as a necessary component. Spam mails are unwanted messages that appear in large numbers and are exploited by spammers to divulge personal information of the user. These e-mails are frequently company/control announcements or malware that the user receives suddenly. Email spamming is one of the Internet's unsolved challenges, causing inconvenience to users and loss to businesses. Filtering is one of the foremost widely used and important methods for preventing spam emails. Email filters are commonly wont to organize incoming emails, protect computers from viruses, and eliminate spam. We present this method to classifying spam emails using support vector machines during this study, the SVM outperformed other classifiers.
Specifics of the Cultural Space of the Khabarovsk Territory

The paper investigate different activities of cultural institutions operating in the territory of the region. Methodological basis of the research is cultural expertise based on systematisation of the categories of places of cultural space by L.V. Nikiforova. The article is a preparatory stage of cultural expertise, which aims to analyse in detail the network of cultural institutions in general and to identify potential art-spaces, for further detailed study. The article presents a detailed analysis of the network of cultural institutions in Khabarovsk and overview of the categories of cultural institutions in the administrative centers of all districts of the Khabarovsk territory. The source base of the study is data obtained from the analysis of websites of cultural institutions, social networks, as well as personal surveys of respondents. Cultural institutions representing different forms of cultural activity have been roughly divided into ten groups. The result of the research is perspective to identify institutions whose activities can be evaluated in terms of belonging to the art-space format.
Coupling Multi-criteria Analysis And Machine Learning For Agent Based Group Decision Support: Spatial Localization

The land use management context is known for its spatial complexity.It is a multidimensional problem influenced by several criteria of dissimilar importance.This kind of problem involves many decision-makers (individuals and institutions) with often conflictual preferences.The authors' contribution consists of designing and developing a web intelligent multi-criteria group decision support system (WIM-GDSS), which combines four tools so that the shortcoming of one tool is complemented by the strength of the others.These tools are Multi-Agent System, Geographic Information System, Multi-Criteria Analysis methods (TOPSIS and AHP) and Machine Learning techniques (Linear Regression).The current study aims to assist decision-makers in choosing the most adequate alternative that best meets certain criteria.The chosen solution has to satisfy the majority of the involved decision-makers.In this perspective, WIM-GDSS will be enriched with a coordination protocol, allowing the agents to properly collaborate to find a compromise solution using multiple criteria analysis methods and prediction models.
Penggunaan Kalimat Efektif dalam Tugas Karya Ilmiah Mahasiswa D-3 Politeknik Baja Tegal

This study aims to analyze the use of effective sentences in scientific essay assignments in general subjects D-3 programme at Baja Tegal Polytechnic regarding the use of effective sentences. Research method uses in this research is qualitative. Based on the analysis in the research essay of D3 programme Polytechnic Baja Tegal Semester III, several errors were found in writing sentences. These mistakes result in ineffectiveness in the sentence so that the reader finds it difficult to understand the writing. The manifestation of the error is the use of excessive words that make the ineffective sentence. Also, choosing words that are not right for sentences such as conjunctions and prepositions that make ineffective sentence.
ANALISISTINGKATKEPUASANKONSUMEN PADA RESTORAN CEPATSAJI MENGGUNAKAN FUZZY MAMDANI

The development of technology is the root of the civilization of society in carrying out their daily activities. In its application, technology can make it easy to access information that helps people to find out certain information, one of which is the level of consumer satisfaction with fast food restaurants.Fast food restaurants have become an important factor in people's daily activities. To fulfill its role in people's lives, fast food restaurants serve food and services for their consumers. Fast food restaurants with decent service, as well as good food prices and quality will certainly result in a high level of satisfaction from consumers with these fast food restaurants.The Fuzzy Mamdani method is one part of the Fuzzy Inference System which is useful for drawing conclusions or the best decisions in uncertain problems. In its application, the criteria for fast food restaurants become variables to determine the level of consumer satisfaction with these fast food restaurants. The Fuzzy Mamdani method forms a fuzzy set of input variables, then implements the implication function, then composes the rules, then defuzzy to get the level of consumer satisfaction with fast food restaurants. In determining the level of customer satisfaction, Fuzzy Mamdani obtained an accuracy rate of 100%.
Studying the effect of Eliminating Repeated Individuals from the Population in a Genetic Algorithm: Solution Perspectives for the Travelling Salesman Problem

The Travelling Salesman Problem (TSP) is one of the main routing problems in the Logistics and Supply Chain Management fields. Given its computational complexity, metaheuristics are frequently needed to solve it to near-optimality. In this aspect, Genetic Algorithms (GA) are promising methods, however, their search performance depends of populations of solutions which can increase computational processing. Thus, the management of this component is subject to adaptations to reduce its computational burden and improve overall performance. This work explores on the elimination of repeated individuals within the population which may represent a significant fraction of its size and do not add valuable information to the solution search mechanisms of the GA. This cleaning process is expected to contribute to solution diversity. Experiments performed with different TSP test instances support the finding that this cleaning process can improve the convergence of the GA to very suitable solutions (within the 10% error limit). These findings were statistically validated.
Real-time Hand Gesture Extraction Using Python Programming Language Facilities

Hand gesture recognition is one of communication in which used bodily behavior to transmit several messages. This paper aims to detect hand gestures with the mobile device camera and create a customize dataset that used in deep learning model training to recognize hand gestures. The real-time approach was used for all these objectives: the first step is hand area detection; the second step is hand area storing in a dataset form to use in the future for model training. A framework for human contact was put in place by studying pictures recorded by the camera. It was converted the RGB color space image to the greyscale, the blurring method is used for object noise removing efficaciously. To highlight the edges and curves of the hand, the thresholding method is used. And subtraction of complex background is applied to detect moving objects from a static camera. The objectives of the paper were reliable and favorable which helps deaf and dumb people interact with the environment through the sign language fully approved to extract hand movements. Python language as a programming manner to discover hand gestures. This work has an efficient hand gesture detection process to address the problem of framing from real-time video.
SISTEM PENDUKUNG KEPUTUSAN KELULUSAN PELATIHAN KERJA MENGGUNAKAN METODE FUZZY

Human resources are an important requirement for companies, both large and small companies. Procurement of manpower is a process that needs to be optimized to obtain competent human resources capable of encouraging the achievement of organizational goals optimally. The selection of prospective workers becomes a difficult thing to decide if the number of applicants is quite large with diverse backgrounds and the criteria determined by the organization are quite complex. This study aims to produce a decision support system in terms of determining prospective applicants who pass the job training period held by PT. Resqtec Indonesia. The method used is field research using interview and observation techniques in analyzing the needs and problems of current conditions and producing proposed system designs to be developed. The results of the research are in the form of a prototype decision support system using fuzzy logic with criteria for work productivity, work quality, and work discipline with the output in the form of recommendations that are not recommended, considered, and recommended.
PRODUCT BUNDLING APPLICATION TO SUPPORT IMPLEMENTATION OF ASSOCIATION RULE MINING USING FP-GROWTH

Online media has been proven to gave good impact especially in the business field, for opening and widen access to people and society, and so giving more opportunity to any business broader and easy access through electronic commerce (e-commerce). This is the basic idea for the need to improve business reach for a decorative plants store in Tangerang Area. The association transaction pattern as the outcome of data mining process by implementing the Fp-Growth Algorithm that is injected to a mobile application with the purpose to get the buyer’s shopping pattern, which is also packed as the products bundling promotion media and finally open the opportunity to broaden reach for business and information.&#x0D;
New approaches to managing the Internet-Based Student Engagement Technology

The article presents the findings of a study on managing the Internet-Based Student Engagement Technology.It shows that this process is successfully carried out through the competence approach, which corresponds to one of the priority directions of informatization of secondary general education.The management of the learning engagement process is based on the call to action, the organization of the action itself, and the feedback.Organizing feedback in engaging learning is based on formative assessment, which helps the teacher to get information about how well their students are learning.The most important component of the educational process and the experience of the teacher is the competent use of technology to involve the students in Internet service-based learning.Visual storytelling and gamification with the main approaches contribute to this process of involvement in learning: quick response (allows to organize feedback in no time), status marathon (helps to increase learning motivation), simulated discovery (allows to organize the learning process effectively), surprise (interesting presentation of educational material), wow-effect (a learning tool that helps to cause an emotional response).Guided by these approaches to the effective use of technology to engage students in the learning process with the help of Internet services, we used a diagnostic technique for learning motivation and emotional attitude to the process of learning, the results of which are justified in the findings.The study results determined positive dynamics and confirmed the hypothesis that techniques for involving students in the educational process, which is based on the use of Internet network resources considerably increases the educational and cognitive motivation and successful emotional attitude of learners towards the learning process.