Reviewerly/exHarmony huggingface dataset:
The role of total quality management in improving the organization's performance in light of the Kingdom's 2030 vision: An applied study on the municipality of Heli: دور إدارة الجودة الشاملة في تحسين أداء المنظمة في ظل رؤية المملكة 2030: دراسة تطبيقية على بلدية حلي

TQM (Total Quality Management) is a management philosophy that takes the form of a comprehensive management approach or system, which is based on doing radical positive changes that include improving the level of performance within the organization. In the context of the efforts of various organizations within the Kingdom to keep pace with the transformation of the Kingdom’s Vision 2030, this research study comes with the aim of identifying the role of total quality management in improving the organization’s performance in light of the Kingdom’s Vision 2030, This was done through an applied study on the municipality of Heli, which is affiliated with the Municipality of Jeddah in the city of Al-Qunfudah, in the Makkah region. The research used the descriptive analytical method in conducting this study, where the questionnaire was used in collecting primary data from the study population, which consisted of employees working in the municipality of Heli, and the study sample amounted to (20) employees, and the data was analyzed using the (SPSS V22) program. Several results have been reached, most notably: the presence of a large approval rate among the members of the study sample regarding the degree of availability of the requirements for the application of total quality management in the municipality of Heli With a relative weight of (75.2%), The research also found that there are medium degree obstacles facing the application of total quality management in the municipality of Heli from the point of view of the study sample members With a relative weight of (59.4%). The research suggested a number of recommendations, the most important of which are: The necessity of working to involve the workers within the Heli municipality leadership in the decision-making process with the leadership. And interest in the existence of a clear organizational structure for the application of total quality management within the municipality of Helli.
Performance Evaluation of Graduates Department of Civil Engineering and Planning of Pontianak State Polytechnic

The purpose of the study was to evaluate the performance of graduates from the Civil Engineering Department at the Pontianak State Polytechnic to know the assessment of service users from the Civil Engineering and Planning Department graduates on the ability to integrity (ethics and morals), professionalism, foreign language skills, information technology, communication, teamwork, and self-development. Our study method collects field data in interviews, surveys, and observation data. Researchers also use questionnaires distributed to alumni and alumni who use the services of contractors and consultants. The field passed the data research tracer study that determines the extent to which the assessment of alumni and graduate users on the performance of graduates of the Department of Civil Engineering and Planning at the Pontianak State Polytechnic at the same time received advice or input to improve the performance of graduates From the evaluation results above, it is hoped that the data obtained can improve the performance of graduates so that by itself it can increase accreditation for two study programs, namely the D-III Civil Engineering Study Program and the D-IV Housing and Settlement Planning Study Program—learning program and learning program. Thus, we hope that the results of this study will be helpful for all parties; academics, policymakers, and other researchers.
GEOGRAPHIC INFOGRAPHICS AS A TOOL OF DEVELOPMENT OF VOCATIONAL GYMNASIUM STUDENTS’ VISUAL THINKING IN ART LESSONS

In the field of education, the demand for a special type of figurative representation of information - infographics, as well as its variety - geographic infographics - is increasing. For the first time, it is proposed to apply map infographics in art lessons in a professional gymnasium in order to develop the visual thinking of students. Specific examples of using the geographic infographics in drawing lessons have been developed and described. Methodological features of the application of the described method are disclosed. Its positive results are revealed.
Validity and Reliability of Survey Items in Employer Perspective Construct on the Quality of ECCE: Rasch Measurement Model Analysis

This paper examines and verifies the reliability of a survey instrument on the long term impact of early childhood and childcare education (ECCE) toward human capital development. The survey consists of separate questionnaires based on four perspectives; Individual Success, Peers, Parents and Employer perspective. This study highlights the reliability of item constructs from the employer perspective questionnaire distributed in the pilot study. This instrument was developed based on 56 items, and was further categorised into three sub-constructs; 1) individual character, 2) soft skills; and 3) good citizenship. Rasch Measurement Model analysis supported by Winsteps software version 3.73 was utilised to examine reliability of item and person, polarity of item and suitability of item. Findings from analysis of reliability of item indicated that Individual Character subconstruct showed a good level of reliability, whilst Soft Skills and Good Citizenship subconstructs showed reliability below par. Further analysis on polarity of item indicated all items scored positive values to measure the construct. While analysis on item fit revealed that a total of 6 items from the three subconstructs were discarded as they did not meet the criteria specified in the Rasch Model.
ADAPTING THE METEOROLOGY-CLIMATOLOGY LABORATORY FROM FACE-TO-FACE TO PARTIALLY REMOTE LEARNING

Many university systems were forced to commit to remote or partially remote learning due to the COVID-19 sanitary situation, in order to reduce face-to-face teaching and learning risks. This paper shows the methodology used to reduce the face-to-face learning in the laboratory sessions of the Meteorology-Climatology subject taught, as a compulsory subject, in the second year of the Degree in Environmental Sciences offered by the University of Valencia, Spain. Previously to the COVID-19, the teaching methodology involved guiding students to carry out hands-on practicals in pairs at laboratory, after explaining instrumentation and methodologies during the sessions. After the confinement, the face-to-face learning was reduced to 50 % in order to reduce the rate of students at laboratory (from 16 students working in pairs to just 8 students working individually per session). Laboratory practicals were conscientiously redesigned for it. Following the flipped classroom methodology, the explanations of the lab practicals were provided as audiovisual materials to students before the laboratory sessions. These materials were generated using the record screen facility of Microsoft PowerPoint. For that, a complete PowerPoint presentation for each lab practical was first made, including: the objectives, photos and description of the laboratory instrumentation, experimental methodologies, data acquisition and processing procedures, and results (with possible associated discussions) to be included and described in a report of the lab practical. Second, templates of spreadsheets were prepared for processing the data acquired during each practical. Third, we recorded videos explaining both the presentations and the data processing with the templates by using the mentioned record screen facility. After editing the recorded videos, they were uploaded to the MMedia videostreaming multimedia server of the University of Valencia, as a service implemented in the Virtual Classroom application for providing learning materials to students. The template and the link of the MMedia video for each lab practical were provided to the students at least one week before the corresponding laboratory session. The laboratory learning was evaluated through the laboratory reports delivered by the students one week after each of the practicals performed during the course. With this methodology, the face-to-face sessions were reduced to 50 %, in which the 8 students that attended per session were well-spatially distributed in the laboratory to reduce personal contact. Students were encouraged to prepare the practical sessions by watching the videos through the MMedia service before attending the face-to-face sessions, in which students just acquired experimental data corresponding to two practicals per session using the laboratory instrumentation. The processing of the data and the preparation of reports, following the video explanations, were carried out by students as non-face-to-face learning activities.
Covid-19 Modifies Student Psychology in Front of Remote Learning

The research shows that university sector management can successfully adapt to the digital field in a newly emerging reality. To maintain the economic and operational universities’ viability, from a theoretical contextualization that part of Abraham Maslow’s thought identifying the skills, limitations, and risks facing universities and contrast them with the United States vs. Latin America reality due to the COVID-19 outbreak. Additionally, the research uses the theory of restrictions (TOC) to identify an action plan within HEIs and develop projects that allow adequate decision-making and subsequent monitoring and control. Generate behavior changes in the university community, and create incentives reducing anxiety levels due to COVID-19.
PHILOSOPHY OF THE UNIVERSE OF "EXISTENCE AND NON-BEING" IN STILL LIFE IN THE STYLE OF "VANITAS"

The article gives the methodological foundations of the philosophical analysis of works made by the "vanitas" method in the system of lifelong education, describes the ways to improve the quality and effectiveness of learning based on an innovative approach to the philosophical analysis of still life genres in composition and painting.
An Improved Gated System that Combines the Techniques of the Internet of Things for Community Security

&lt;p&gt;Residential security is important in today&amp;rsquo;s society. As Taiwan will soon enter a super-aged society, there will be manpower shortages and scheduling problems in the dispatched resident guard service. Hence, how to develop a new security method and business model that uses the techniques of the Internet of Things to improve resident security is a top priority. In addition, in response to the severe global COVID-19 epidemic, residents&amp;rsquo; access to and from residential areas shall be strictly controlled, such as body temperature records and access records, in order to enhance epidemic prevention within communities. Therefore, this paper proposes an improved gated system that combines the techniques of the Internet of Things (IoT) to ensure community security. In terms of access control, a facial recognition system is designed, which integrates with the functions of body temperature measurement, RFID, and QR codes. The QR code function is mainly used to allow guests to enter residential areas. Regarding the COVID-19 epidemic, the information recorded by the system can help to effectively control the contact history and body temperature of community residents. The advantages of this paper, including practicality, residential security, and integration, are explained in the experimental section.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Research on Human-Computer Interaction Following Motion Based on Kinect Somatosensory Sensor

Based on the rapid development of somatosensory technology, now a human-computer interaction control method using somatosensory technology to control robots is proposed, which can control robots and other equipment through body motion. This paper analyzes and studies the machine vision principle of the somatosensory sensor Kinect. Based on the principle of human body recognition, it obtains real-time human body 3D modeling data, and realizes that the robot can follow the human body in real time. Instability, this article innovatively uses fuzzy logic control to establish a mathematical model of language analysis and obtains accurate control information following the motion through the calculation of the fuzzy controller to realize the trajectory control of the biomimetic robot and use MATLAB to verify the fuzzy control. The correctness of the device improves the robustness and stability of the entire system.
Performance of Text Classification Methods in Detection of Hate Speech in Media

Abstract: With the increased popularity of social media sites like Twitter and Instagram over the years, it has become easier for users of the sites to remain anonymous while taking part in hate speech against various peoples and communities. As a result, in an effort to curb such hate speech online, detection of the same has gained a lot more attention of late. Since curbing the growing amount of hate speech online by manual methods is not feasible, detection and control via Natural Language Processing and Deep Learning methods has gained popularity. In this paper, we evaluate the performance of a sequential model with the Universal Sentence Encoder against the RoBERTa method on different datasets for hate speech detection. The result of this study has shown a greater performance overall from using a Sequential model with a multilingual USE layer. Keywords: Hate Speech Detection, RoBERTa, Universal Sentence Encoder, Sequential model.
How Scientists Forecast Volcanic Eruptions

Volcanic eruptions are impressive demonstrations of the activity of our planet. While some eruptions may be safely observed from distance, many eruptions, especially if explosive, may be hazardous to the populations and the environment around the volcano, including the animals, plants, and manmade structures. To reduce harm caused by eruptions, scientists called volcanologists attempt to forecast eruptions. Although volcanoes commonly provide several kinds of warnings before erupting, there is no single warning signal that allows volcanologists to accurately predict every eruption. Instead, data from various types of monitoring instruments are combined to help scientists forecast eruptions at least a few days in advance. In the next decades, as volcanologists improve monitoring systems and better understand the processes happening inside volcanoes, more precise eruption forecasts will be possible.
CRITICAL EVALUATION OF LISTENING COMPREHENSION COMPETENCY IN HIGHER SECONDARY SCHOOLS: EVIDENCE FROM QUETTA, BALUCHISTAN, PAKISTAN

Listening Skill of any language is the key to all effective communication (Amir &amp; Kang, 2018a; Amir &amp; Kang, 2018b). Listening means the ability to receive and interpret the spoken text accurately and this fact makes it the one communication skill that a language learner should master. Considering the importance of the English language in Pakistan’s educational system, and that of Listening comprehension in the communication system, this study critically evaluates listening competency making a comparison between various groups of Higher Secondary School students of the provincial capital Quetta. The purpose of the study is to identify problems and hurdles that students face while listening to the English language and recommend the remedial steps required to be taken by the subject specialists i.e. teachers of English. The study evaluated the performance of Higher Secondary Students in listening comprehension through the conduct of Listening Comprehension Test/Tests in the classrooms while Questionnaires were used to identify problems of listening comprehension, teaching strategies, listening habits, and other variables. The data collected was analyzed quantitatively to determine the significant differences and correlations between various groups and subgroups of students formed on the basis of sectors and gender. The study was expected to help the teachers and students in better academic performance and concluded with findings and subsequent recommendations for teachers and students to improve listening comprehension of English with respect to the Educational system prevailing in the province of Baluchistan.
Application of Total Physical Response (TPR) in the Development of Chinese as Second Language Module

This study aims to apply the Total Physical Response (TPR) method for developing MyDialogKopitiam Module in learning Chinese Language National Primary School (Bahasa Cina Sekolah Kebangsaan BCSK) in national primary school.The TPR method combines language and body movements and has various teaching forms and rich teaching processes.Therefore, different Chinese language teachers have paid attention to it in recent years.TPR method also plays a vital role in teaching Chinese as a second language.In this paper, the authors will discuss the use of the TPR method, which consists of Game Teaching Methods, Drawing Teaching Methods, Music Teaching Methods, Simulation Teaching Methods, Movement Teaching Methods, Cardboard Teaching Methods and Mimicry Teaching Methods in developing MyDialogKopitiam Module for learning Chinese as a second language in school.This study also describes the TPR method activities carried out by teachers and students in using MyDialogKopitiam Module.The implication of this paper is to act as guidance for teachers and educators that apply the TPR method in developing a module for second language learners.
Focusing on the EFL Learners’ Spoken Language: An Analysis of Classroom Discourse

This paper discussed the spoken language produced by adult learners who attended a General English Intermediate course at one of the best English course providers in Indonesia. The writers analyzed examples of inaccurate and accurate spoken language produced by the students during an observed lesson and then shed light on possible reasons for the spoken language from linguistic point of views. The results of this study were intended to offer some insights into the nature of inaccurate and accurate spoken language in the learning of English as a foreign language. English teachers are, therefore, expected to focus not only on fluency but also on accuracy in English language teaching. &#x0D; Keywords: accuracy, classroom discourse, fluency, spoken language
Multi-Agent Reinforcement Learning with Clipping Intrinsic Motivation

Intrinsic motivation is one of the potential candidates to help improve performance of reinforcement learning algorithm in complex environments.The method enhances exploration capability without explicitly told by the creator.This is suitable for the case of multi-agent reinforcement learning where the environment complexity is beyond standard.In this paper, the Random Network Distillation method is applied to implement intrinsic motivation in the multi-agent environment.Two intrinsic motivation architectures are developed and compared with the benchmark in different scenarios.The experiments show an increase in performance of the very complex environments while little to no improvement over the non-complex ones.Although there exists some overhead which results in less sample efficiency, the centralized intrinsic motivation architecture shows a long-term on par or even better optimization performance as it could explore on more states.The performance of the centralized architecture shows a solid improvement in 2s3z environment and achieves almost 70%win rate over the benchmark of 43%.
The Justification Basis of Personal Data as a New Object of Civil Right

Data is a new object produced with the development of the scientific and technological society, with unique characteristics such as intangibility and non-exclusivity, but data still has the independence and property required by the object of civil right, and is a new type of object of civil right in modern civil law. Analyzing the justification basis of personal data as a new type of civil right is the premise to solve the division of data ownership in the fields of big data market, network security, etc.
Türkçe Metin Madenciliği için Çalışan Bellek Bağlantıları Tabanlı Uzun Kısa Süreli Bellek Mimarisi

Text classification is a natural language processing area for assigning text documents to one of the predetermined class labels.Text classification is used in many natural language processing problems, including sentiment analysis, topic tagging, question answering, and dialogue action classification.It has many applications, such as text classification, filtering and organization of news texts, and filtering of spam e-mail contents.In recent years, deep neural network-based architectures and neural language models have been used frequently in the field of text classification.Long-term memory-based architectures (LSTM) use gate mechanisms to reduce the vanishing and exploding gradients observed in the conventional recurrent neural networks when learning long-term dependencies.Therefore, LSTM and LSTM-based architectures have widespread use in many sequence modeling tasks.In LSTM-based architectures, although the memory cell contains the basic information, it is not allowed to directly affect the gate mechanism.In this study, the performance of recurrent neural network, long short-term memory, gated recurrent unit, peephole-based long-short-term memory architecture and working-memory connections-based long-term memory architecture are comparatively evaluated for Turkish sentiment analysis.In the representation of the corpus, word2vec, fastText and GloVe word embedding methods were evaluated.Experimental analyzes show that working memory connections-based long short-term memory architecture achieves higher classification accuracy for sentiment analysis on Turkish text documents compared to peephole-based long short-term memory architecture, long short-term memory and gated recurrent unit architecture.
ANALISIS SENTIMEN PADA TWITTER TERHADAP UIN RADEN FATAH MENGGUNAKAN SUPPORT VECTOR MACHINE

Measuring customer satisfaction is one of the most important aspects of any successful companyto improve the quality of its service,therefore collecting reviews is highly recommended.However, gathering datais not enough, without having efficient and reliable automated systemsthat capable of analysing the data and extracting valuable information for further improvement.Nowadays, social media is getting more and more attention as public and private opinions onvarious subjects are expressed and disseminated continuously through various social media.Twitter offers a fast and effective way to analyse people's perspectiveson important things forsuccessful universities. Developing a program for sentimentanalysis is the approach tocomputationally measure people's perceptions. In this study, public opinion regarding UIN RadenFatah Palembang was analysed using Support VectorMachine (SVM) method in determining thepositive or negative sentiment of a tweet by doing initial processing for unstructured data fromTwitter. The results indicated that the polarity of sentiment towards UIN Raden Fatah Palembangon Twitter as seen from 100 samples of tweets, 89 (89%) had positive sentiments and 11 (11%)had negative sentiments. The level of accuracy in the classification of sentiment using SVM was70% with an average precision of 20.6%, anaverage recall of 70% and an average f-measure of62.7%.