Reviewerly/exHarmony huggingface dataset:
A Hybrid Service Ranking Based Collaborative Filtering Model on Cloud Web Service Data

INTRODUCTION: Trust is an important indicator in the cloud computing environment for service selection and recommendation. It is a difficult task to create a composite value-added service from several candidate services for the desired objectives due to the dramatic gr
Modeling Communication to Coordinate Perspectives in Cooperation

Author(s): Stacy, Stephanie; Li, Chenfei; Zhao, Minglu; Yun, Yiling; Zhao, Qingyi; Kleiman-Weiner, Max; Gao, Tao | Abstract: Communication is highly overloaded. Despite this, even young children are good at leveraging context to understand ambiguous signals. We propose a computational account of overloaded signaling from a shared agency perspective which we call the Imagined We for Communication. Under this framework, communication is a way for cooperators to coordinate their perspectives, allowing them to act together to achieve shared goals. We assume agents are rational, utility maximizing cooperators, which puts constraints on how signals can be sent and interpreted. We implement this model in a set of simulations which demonstrate this model’s success under increasing ambiguity as well as increasing layers of reasoning. Our model is capable of improving performance with deeper recursive reasoning; however, it outperforms comparison baselines at even the shallowest level of reasoning, highlighting how shared knowledge and cooperative logic can do much of the heavy-lifting in language.
The State, Computers, and African Development: The Information Non-Revolution

Awareness in African governments of the importance of computing has grown apace with the deepening economic crisis of the 1980s. Computers are viewed as an express train bypassing the way stations of older forms of industrialization to arrive directly at the affluent and ecologically responsible ‘information society’ of the future. Whatever the abstract technical capabilities of computers, the social and political circumstances of their introduction into bureaucracies has been distinctly conservative and non-revolutionary. The colonial foundation of the bureaucratic apparatus of African states was based on a concept of an authoritarian and paternalistic “guardian” bureaucracy ruling a dependent and backward population. The expectations of the enthusiasts who proclaim the computer “revolution” are largely idle fantasies that contain little understanding of the social and the political factors which shape the character and consequences of the computers.
A Taxonomy of Assets for the Development of Software-Intensive Products and Services

Context: Developing software-intensive products or services involves utilising many artefacts that are either part of the offering or part of enabling their development. These artefacts, if valuable and used more than once by the development organisation, can be seen as assets such as test cases, code, requirements, and documentation. As such, assets are often reused, updated, and become a base or even necessity for product development and evolution over time, constituting an investment. Assets are not well understood beyond code-based ones in the area of technical debt. Thus most asset types are often overlooked, and their state, which is subject to degradation over time, has not been much studied. Method: To address the problem, we conducted industrial focus groups with five companies and a literature review. The results were analysed qualitatively and summarised in a taxonomy. Results: We created a structured, extendable taxonomy of assets. The taxonomy contains 57 assets. Conclusions: The taxonomy serves as foundations for defining and identifying assets as a concept. It provides the foundation for studies into asset degradation and subsequent asset management. The taxonomy also includes code-based assets and thus can be helpful in further research into investigating degradation and debt concepts.
SEGMENTASI DOKUMEN BAHASA INDONESIA MENGGUNAKAN TEXT TILING

Text tiling aims to split long documents into multiple related paragraphs. In this study, the documents are used as data by omitting the reading format as inputs in the segmentation. Text tiling method has three stages, namely tokenisation, determination of similarity, and the introduction of limits. In this study, the results of the segmentation algorithm using tiling text has not yet reached the objective. This is because the segmentation of the document is strongly influenced by a common word file, the determined number of tokens in a token-sequence, and the determination of the number token-sequence within a block.Tthe writing of a word and text tiling algorithm is very sensitive to the reading format, such as titles and subtitles, so that the reading format must be removed to have the body of the text only. Segmentation results increased after the trials. From the experiment of the 15 reading segmentation results show that an accuracy of precision is 59,3% and of recall is 80%. These trials used 4140 common words. The total coefficient score for similarity is 5, the number of tokens in a token-sequence is 20, and the number of token-sequence within a block is 3. Keywords :  : text tiling, segmentation, multiparagraph segmentation
Employing Video-based Motion Data with Emotion Expression for Retail Product Recognition

Mining approaches based on video data can serve in identifying stores' performance by gaining insight into what needs to be proceeded to further enhance customers' experience, leading to increased business profits.To this end, this paper proposes an association rule mining approach, depending on video analytic techniques, for detecting store-items that are likely to be out of demand.Our approach is developed upon motion-tracking and facial emotion expression methods.We used a motiontracking technique to record information related to customers' regions of interest inside the store and customers' interactions with the on-shelf products.Besides, we have implemented an emotion classification model, trained on recorded video data, to identify customers' emotions towards items.Results of our conducted experiments yielded several scenarios representing customer behavior towards out-of-demand stores' items.
Teaching Vocabulary through Story Telling for Young Learners

The objective of this study is to investigate the effect of using story telling in teaching vocabulary for fifth grade students at SDN 1 Peukan Pidie, Sigli. An experimental design was used in this study and the data were collected through a test as the instrument. The population of this study was all the students of SDN 1 Peukan Pidie, Sigli and two classes were taken as the sample. These classes were classified into the experimental and the control classes. The experimental class was taught by using story telling, while the control class was taught by memorizing words. The pre-test and the post-test were used in collecting the data. The research finding showed that the mean score of the post-test of the experimental class was higher than that of the control class (77.1>65.1). Furthermore, the result of t-test of the experimental class was higher than that of t-test of the control class (10.98 >7.45). These data indicated that the students taught by using story telling achieved better score than those taught by using memorizing words. Hence, the alternative hypothesis (Ha) is accepted and null hypothesis (Ho) is rejected.
Innovative Practice of Business English Teaching Model Based on POA Concept

Applying the POA concept to business English teaching will help improve the quality of professional English teaching.As a brand-new teaching concept, teachers can change the traditional business English teaching mode, taking into account the individual differences of learners, thereby improving students' learning level.This paper studies the innovative practice of business English teaching model based on the POA concept, summarizes the current situation of business English teaching on the basis of relevant literature, and then constructs the business English teaching model based on the POA concept, and implements the model after completion according to the results of practice, the improvement in learning interest and good learning habits of the class with innovative mode of teaching is greater than that of the ordinary class in the comparison.
THEORETICAL BASIS OF STUDYING THE ART OF MUSIC

Music is derived from the Greek word mousiche, and the art of miracles is an art form that reflects the range of human emotional experiences, thoughts, and imaginations through a sequence or combination of musical sounds (tones, melodies). There are various scientific hypotheses about the origin of music: emotional speech (G. Spencer), birds singing and animals calling their mates (Charles Darwin), primitive human labor methods (K. Buchaner) and K. Buchaner. ), sorcery (J. Combarrier) are the primary sources of music. Oriental thinkers have also made scientific comments on the origin of music. The history of music was explained by Farobi in connection with the process of formation of human speech and emotions, and Ibn Khaldun (14th century) - based on the laws of formation of social systems
Learning to Predict Population-Level Label Distributions

As machine learning (ML) plays an ever increasing role in commerce, government, and daily life, reports of bias in ML systems against groups traditionally underrepresented in computing technologies have also increased. The problem appears to be extensive, yet it remains challenging even to fully assess the scope, let alone fix it. A fundamental reason is that ML systems are typically trained to predict one correct answer or set of answers; disagreements between the annotators who provide the training labels are resolved by either discarding minority opinions (which may correspond to demographic minorities or not) or presenting all opinions flatly, with no attempt to quantify how different answers might be distributed in society. Label distribution learning associates for each data item a probability distribution over the labels for that item. While such distributions may be representative of minority beliefs or not, they at least preserve diversities of opinion that conventional learning hides or ignores and represent a fundamental first step toward ML systems that can model diversity. We introduce a strategy for learning label distributions with only five-to-ten labels per item—a range that is typical of supervised learning datasets—by aggregating human-annotated labels over multiple, similarly rated data items. Our results suggest that specific label aggregation methods can help provide reliable, representative predictions at the population level.
INCREASING IPS LEARNING OUTCOMES THROUGH THE APPLICATION OF CONCEPT ACHIEVEMENT AT SD KECIL CEMPAKA SARI

This study aims to improve social studies learning outcomes through the application of the concept achievement of fourth grade students at SD Kecil Cempaka Sari, Sausu sub-district. The population of this study were all fourth grade students with a total of 12 people. The method used in this research is Classroom Action Research. In this study, there are four stages of research implementation, namely: planning, implementing actions, observing and reflecting on the results of the action. From the four stages of the study, two learning cycles were carried out. From the results of the first cycle of action, there were 7 people who had not completed and the classical completeness only reached 41.67%, so the research was continued in the second cycle, because in the first cycle it had not reached the predetermined performance indicators. In cycle II, the percentage of classical completeness increased to 91.6%. From the results of this study, it can be concluded that the use of the concept achievement model can improve social studies learning outcomes and student activities at SD Kecil Cempaka Sari.
Strategic Management Indicators for Sustainable Road Traffic Management

Human is very critical and important asset of any nation. Human security is the prime need. Also, at organizational level, the business success depends on the human efficiency. Hence, strategic management is very important to achieve effective performance. This paper assessed various indicators and attributes of strategic management. However, the limitation of this study was to focus on strategic management used in traffic management used by public security sector of Abu Dhabi. Evaluation involved 29 common attributes of strategic management identified from literature. These were categorized into five indicators as learning & training; traffic setting; emergency response; road engineering & vehicle safety; and strategies being enforced. Analysis of the data collected through Questionnaire survey with officials involved in traffic management was done with mean score method. Results of the analysis showed that review and develop a driver training program and licensing mechanism is the top ranked attribute in the domain of learning & training. The respondents highlighted effective traffic control in pedestrian and cyclist safety areas and seatbelts as very useful in the indicator traffic setting. Top indicators in the indicator emergency response are development of effective systems for geographical positioning of traffic accidents, and spreading a culture of prioritising emergency vehicles in emergency situations. Develop an integrated traffic safety management system (ITSMS) is the most useful attribute related to road engineering & vehicle safety indicator. While in the indicator strategies being enforced, the respondents mentioned that the attribute at top rank is developing smart traffic settings to minimize the accidents.
Performance Analysis of Various Parameters in Sensitive Association Rule Hiding For Privacy in Distributed Collaborative Data Mining

Privacy preserving or Data and knowledge hiding is a novel research area in distributed collaborative data mining to protect the privacy of confidential or sensitive information of individuals. Many of the researchers have been proposed methods in Privacy Preserving Data mining (PPDM) to hide sensitive information in association rule mining. Association rule hiding is the process to modify the original database for vanishing sensitive association rule while generating rules using rule mining algorithms. The better rule hiding methods are not affecting the quality of the database and non-sensitive rules. In this paper, privacy preserving association rule hiding methods in the literature are studied in detail to find the problem in each method and metrics used for evaluating these methods. The performance of metrics, merit and demerit of every method are thoroughly compared. Finally, the remarkable future direction is suggested in the association rule hiding area based on the problems has been found from the literature.
การพัฒนาคุณภาพการบันทึกทางการพยาบาลแผนกผู้ป่วยใน โรงพยาบาลภูหลวง จังหวัดเลย

This developmental study aimed to develop the quality of nursing recording in inpatient department of Phuluang hospital, Loei Province. This research was conducted by applying the FOCUS–PDCA method for quality improvement process which consisted of 9 steps: the process exploring for quality improvement, establishing the team with knowledge in the process, trying to understand the improving process, trying to understand the influencing factors on the process, method selection for improvement process, process planning, process implementation, evaluating the process action and confirming the operation and continuous improvement. The study samples were 10 registered nurses from the inpatient department. The research tools were the guiding questionnaire for focus group and the quality evaluation form for nursing record according to the National Health Security Office (NHSO) criteria. Data were analyzed using the descriptive statistics, frequency, mean and percentage.  The results showed that the FOCUS–PDCA method could improve the quality of nursing record. The nurses could identify the root course of incomplete nursing record and select the appropriate guideline to solve problems. The guideline for nursing record writing was developed. The clearly established criteria for nursing record could improve the quality of nursing record. The systemic process in development of nursing record form required the participation of all operative personnel. After the nursing records were investigated, the quality of record was improved from 65.78% to 82.22%.  Keywords : Development, Nursing record forms
Perancangan Mobile Game Edukasi Pengenalan Buah-Buahan untuk Sekolah Dasar

The purpose of this research is to look into the design of an educational mobile game for the introduction of fruits in elementary schools. This fruit recognition educational mobile game is a modern learning application that uses Android technology to make learning more convenient anywhere and at any time. Learning activities are more effective when there are media that can attract the senses and attract interest, as there are image objects, attractive displays, and pronunciation of the letters of the alphabet in this educational mobile game. This game application also includes exercises to help you improve your learning spirit. This application employs a qualitative methodology. The goal of this study is to assist elementary school students who are having difficulty learning.
Latent Neural Differential Equations for Video Generation

Generative Adversarial Networks have recently shown promise for video generation, building off of the success of image generation while also addressing a new challenge: time. Although time was analyzed in some early work, the literature has not adequately grown with temporal modeling developments. We study the effects of Neural Differential Equations to model the temporal dynamics of video generation. The paradigm of Neural Differential Equations presents many theoretical strengths including the first continuous representation of time within video generation. In order to address the effects of Neural Differential Equations, we investigate how changes in temporal models affect generated video quality. Our results give support to the usage of Neural Differential Equations as a simple replacement for older temporal generators. While keeping run times similar and decreasing parameter count, we produce a new state-of-the-art model in 64$\times$64 pixel unconditional video generation, with an Inception Score of 15.20.
Peningkatan Kualitas Citra Karikatur Menggunakan Filter Maksimum dan Filter Median

Quality improvement is basically how to overcome various problems that will arise to achieve the expected quality. Quality improvement is an activity to measure performance, benchmarking with standards and any systematic effort to improve performance in order to achieve expected standards. In improving the quality of this caricature image using a maximum filter and a median filter is basically a method to reduce or eliminate noise in a digital image or image, smoothing with a median filter to replace pixels with the highest value of a series formed from a matrix that matches the size of filter window. This filter works by selecting the intensity of the pixel in the middle, after pixel_pixel included in the filter is sorted
Graph-based Vehicle Diagnostics using Machine Learning

It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.
ФОРМА ИТОГОВОЙ ОЦЕНКИ ПО ФИЗИКЕ НОВОЙ УЧЕБНОЙ ПРОГРАММЫ

To date, the main task of the updated education is to teach students the use of knowledge in practice. In classes with updated content of education introduced a new system of evaluation – criteria. In addition, the system develops students ' ability to adequately monitor and evaluate their work, independently identify the causes of difficulties and eliminate them. Criteria evaluation, in turn, consists of formative and summative. Formative assessment determines the level of skills of the student, it is intermediate marks that do not affect the quarter and annual. Summative evaluation is carried out to set the final mark after studying a certain block of material. Relevance of consideration of this article, to offer the developed tasks and evaluation to them. The practical significance lies in the development of sample tasks for summative estimating section on physics on the topic Fundamentals of electrostatics, indicating the criteria of evaluation, which can serve as an alternative for their use in physics lessons.
A Case of Practice of Simultaneous Online &amp; Offline Japanese Class : Focusing on the Tourism Japanese Class

This article examines the design and practice of a Japanese class that conducted classroom class and Google Meet online class simultaneously under the COVID􋹲19. It intends to use the results of intermediate and end􋹲of􋹲semester surveys conducted on the learners as data for developing the class into a better class. Quizlet, Google Meet, and Kakao Talk were used as edutech applications in this simultaneous online & offline class. As a result of the intermediate survey, Google Meet learners were found to have a lower level of overall understanding, speed and participation in the class than classroom learners, so individual guidance was added after the intermediate survey. As a result of the end􋹲of􋹲the􋹲semester survey, classroom learners were found to have a higher level of satisfaction with the use of Quizlet than Google Meet learners. In this aspect, the role of a teacher as an edutech user and the support of the school are required. In the end􋹲of􋹲the􋹲semester survey, Google Meet learners showed a high level of satisfaction with receiving individual guidance through Kakao Talk. Therefore, in the case of an increase in the number of online learners, a teacher seems to need the support of a teaching assistant.
Penerapan Metode Tsukamoto (Logika Fuzzy) Dalam Sistem Pendukung Keputusan Untuk Menentukan Besarnya Gaji Karyawan Pada Hotel Grand Antares

Each company, agency, organization or business entity will provide a salary as compensation for the work of an employee, in addition to providing basic salary to its employees, each agency provides a bonus in addition to the basic salary to trigger the performance and work productivity of its employees. This is because an employee who receives the bonus must meet certain criteria relating to disciplinary working hours as determined by each agency or company. Data processing has actually been done since ancient times, it's just that the data processing itself is still very simple and can only solve problems such as very simple calculations. The Decision Support System (SPK) which was developed aims to determine the amount of employee salaries at the Grand Antares Hotel. SPK in this case uses Fuzzy Tsukamoto. The number of factors that drive employee salary determination based on position and demand becomes a consideration and constraints for decision makers in making policies to determine the amount of salary to be determined. These factors are: the maximum demand in a certain period and the minimum demand in a certain period.
TECHNIQUES OF ASSESSING KNOWLEDGE IN METHODS OF TEACHING BIOLOGY

The article gives insights into ongoing research with respect to techniques of assessing knowledge in methods of teaching biology. Finally, the developed measurement techniques help to assess the learning preconditions of future biology teachers.Thus, several types of assessing and controling in methods of teaching biology have been discussed.