Reviewerly/exHarmony huggingface dataset:
Pengembangan Back End Aplikasi Keluhan Pelanggan PDAM Tirta Amertha Jati Kabupaten Jembrana

PDAM Tirta Amertha Jati or PDAM Jembrana is a Jembrana Regency Government-Owned Business Entity, which provides services to the community in meeting the basic needs of the community for water. The system available in PDAM Jembrana is in the form of manual and online, but only uses the online system in the payment section. There are some complaints that are still handled by the manual system so it is rather difficult to handle complaints that are complained by the customer. With this problem the author built a website by using the Extreme Programming (XP) method which focused on the back end section on the complaints website which was later expected to be able to assist the customer complaints section, then at the end of the website stage it would be tested with black box to determine its feasibility.&#x0D; Keywords : Back End, Extreme Programming(XP), Black Box
A Case Study on the Application of Design Thinking in Elementary Art Textbooks : Focusing on the Composition and Contents of Art Textbook Design Units

본 논문의 목적은 2015개정 미술과 교육과정에 따른 5학년과 6학년 미술교과서(학년별 6종, 총12권)의 디자인 단원에 나타 난 ‘디자인사고(Design thinking)’의 적용 사례를 분석하고 창의성 향상과 문제해결능력 향상을 위한 교과집필의 새로운 방향성을 제언하는데 있다. 각 출판사별 미술교과서 분석을 통해 디자인사고의 과정(Design thinking process)은 점진적, 순환적, 부분 순환적 과정으로 제시방법이 각기 상이하였다는 결과를 도출할 수 있었다. 이에 창의력 향상이라는 측면에서 학습자의 삶의 배경이 되는 문제를 통해 공감능력을 향상시키고, ‘인간중심의 삶’에 적용 가능한 문제인식지점에 대한 재고의 필요성이 있다. 또한 디자인 제작 과정에서 순환적 단계를 보다 명료하게 제시하여 자기 주도적 문제 해결 능력을 기를 수 있는 방향으로 교과내용을 개선해 나가야할 것을 제언하는 바이다.The purpose of this study is to analyze the application cases of design thinking in the design section of the fifth and sixth graders art textbooks (six classes by grade, a total of 12 volumes) according to the 2015 Revised Art Curriculum and to suggest a new direction in the writing of subjects to improve creativity and problem-solving skills. By analyzing each publisher s art textbook, I was able to draw a conclusion that the design thinking process was gradual, cyclical and partially cyclical processes, which resulted in different presentation methods. In this regard, there is a need to improve empathy through problems that serve as the background for learners lives in terms of improving creativity, and to rethink the point of problem recognition that can be applied to human-centered life. In addition, it is suggested that the curriculum should be improved in a direction that the students can strengthen the problem-solving ability in a logical and self-directed manner by clearly presenting the cyclical steps in the design production process.
Implementation of Turbo Boyer Moore Algorithm for Hijab Online Shop Application

Hijab is an obligation for Muslim women to cover their genitals. Hijab itself is now not only used by adult women or casual people, but has also penetrated teenagers including female students. The development of online shops or commonly referred to as olshop through internet media has mushroomed in Indonesia, and is even well known by the general public. Today's smartphones have developed and are in great demand by the public because of the various features that appeal to the user community. The hijab buying and selling system using an Android-based mobile application is a hijab sale and purchase that can be done easily to provide accurate information to potential consumers, but due to the large number of hijab products being sold, it can make finding information on a hijab product desired by potential consumers difficult to obtain. quickly and precisely. To solve the above problems, the authors designed the hijab online shop application using one of the editors for android programming, namely, Eclipse Juno. The string matching algorithm is used to simplify the process of searching for information on a particular hijab product in the application designed by the author to apply the Moore Turbo Boyer algorithm
Pronunciation Similarity Matching Using Deep Learning

The correct pronunciation of English language words poses a significant challenge for children in non-English speaking countries, which leads to incorrect interpretation and creates hurdles for effective communication. This work deals with Computer-Assisted Language Learning (CALL) concerning English language word pronunciation. In this work, a system is developed, which first teaches the correct pronunciation and scores the correctness of pronunciation produced by the user of a word. Feedback is provided when a person pronounces a particular word indicating how close is the pronunciation is to the ideal pronunciation, thus serving as a metric of correctness. The proposed approach uses the Mel Frequency Cepstral Coefficients (MFCCs) of the spoken word and deep neural networks. Our results show that the proposed method is beneficial in identifying the accurately pronounced words and thus can be used for improving pronunciation. This work can readily be extended to other languages for pronunciation matching.
Enriching Knowledge Graphs Using Machine Learning Techniques

A knowledge graph represents millions of facts and reliable information about people, places, and things. These knowledge graphs have proven their reliability and their usage for providing better search results; answering ambiguous questions regarding entities; and training semantic parsers to enhance the semantic relationships over the Semantic Web. However, while there exist a plethora of datasets on the Internet related to Food, Energy, and Water (FEW), there is a real lack of reliable methods and tools that can consume these resources. This hinders the development of novel decision-making applications utilizing knowledge graphs. In this dissertation, we introduce a novel tool, called FoodKG, that enriches FEW knowledge graphs using advanced machine learning techniques. Our overarching goal is to improve decision-making, knowledge discovery, and provide improved search results for data scientists in the FEW domains. Given an input knowledge graph (constructed on raw FEW datasets), FoodKG enriches it with semantically related triples, relations, and images based on the original dataset terms and classes. FoodKG employs an existing graph embedding technique trained on a controlled vocabulary called AGROVOC, which is published by the Food and Agriculture Organization of the United Nations. AGROVOC includes terms and classes in the agriculture and food domains. As a result, FoodKG can enhance knowledge graphs with semantic similarity scores and relations between different classes, classify the existing entities, and allow FEW experts and researchers to use scientific terms for describing FEW concepts. The resulting model obtained after training on AGROVOC was evaluated against the state-of-the-art word embedding and knowledge graph embedding models that were trained on the same dataset. We observed that this model outperformed its competitors based on the Spearman Correlation Coefficient score. We introduced Federated Learning (FL) techniques to further extend our work and include private datasets by training smaller version of the models at each dataset site without accessing the data and then aggregating all the models at the server-side. We propose an algorithm that we called RefinedFed to further extend the current FL work by filtering the models at each dataset site before the aggregation phase. Our algorithm improves the current FL model accuracy from 84% to 91% on MNIST dateset.
On the Finite-Sample Complexity of System Identification in Temporally Homogeneous Discrete-Time Fractional-Order Dynamical Systems.

Discrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory. Applications include neurophysiological signals such as electroencephalogram (EEG) and electrocorticogram (ECoG). Although estimating the spatiotemporal parameters of DT-FODS is not a new problem, when dealing with neurophysiological signals we need to guarantee performance standards. Therefore, we need to understand the trade-offs between sample complexity and estimation accuracy of the system parameters. Simply speaking, we need to address the question of how many measurements we need to collect to identify the system parameters up to an uncertainty level. In this paper, we address this problem under the assumption that long-term memory dependencies at the state variables level do not change over time. The main result is the first result on non-asymptotic sample complexity guarantees of identifying DT-FODS. Finally, we provide evidence of the efficacy of our method in the context of forecasting real-life EEG time series.
Technology Integrated on Media Literacy in Economic Studies on Higher Education.

This study aims to analyze the technology integrated into media literacy in higher education. This research uses a qualitative approach. The type of case study in this research is explanatory. Data collection was carried through interviews to analyze integrated technology to help students understand media literacy and student interest in using android-based applications. Then, to identify the competency level of student media literacy and product feasibility using questionnaires data collection. Researchers collaborated with 36 students of economic studies year 2017. This study shows that students can use technology in media literacy activities in development economics, but there was a problem in understanding the context and content. After introducing the Android Economic Development Application (EDA), students can improve their media literacy understanding. The EDA application is feasible to use with a percentage of 79.96% and easy-to-use. Students' media literacy competency level also increased from 28% to 69% at the medium level. The EDA application makes it easy for students to get information about the meaning, characteristics, competence, and media literacy level. This study shows that this application effectively improves students' critical thinking skills in the learning process. However, media literacy activists also need to encourage media literacy activities to passively refrain from spreading fake news and actively spreading media literacy awareness. The application of EDA is expected to guide students in facing the digital economy.
DISSEMINATION OF AGRICULTURAL KNOWLEDGE IN BELARUS IN THE LATE 19TH–EARLY 20TH CENTURES: THE ROLE OF LIBRARIES

The activity of libraries in the field of dissemination of agricultural knowledge in Belarus in the late 19th – early 20th centures is considered. Data on agricultural publications in various types of libraries are presented.
Target-Guided Structured Attention Network for Target-dependent Sentiment Analysis

Target-dependent sentiment analysis (TDSA) aims to classify the sentiment of a text towards a given target. The major challenge of this task lies in modeling the semantic relatedness between a target and its context sentence. This paper proposes a novel Target-Guided Structured Attention Network (TG-SAN), which captures target-related contexts for TDSA in a fine-to-coarse manner. Given a target and its context sentence, the proposed TG-SAN first identifies multiple semantic segments from the sentence using a target-guided structured attention mechanism. It then fuses the extracted segments based on their relatedness with the target for sentiment classification. We present comprehensive comparative experiments on three benchmarks with three major findings. Firstly, TG-SAN outperforms the state-of-the-art by up to 1.61% and 3.58% in terms of accuracy and Marco-F1 respectively. Secondly, it shows a strong advantage in determining the sentiment of a target when the context sentence contains multiple semantic segments. Lastly, the attention results produced by TG-SAN are highly interpretable as visualization results shown.
Educational Experience of Preliminary History Teachers -Focusing on High School &lt;Korean History&gt; Writing-

Although a position of textbook is lowered recently, textbook’s influences are still significant in Korea’s public education system. Even if studies on teachers and students who are consumers of such textbooks are intermittently performed, their interests in educational experience are still insufficient beyond analysis of textbook. Under this circumstance, this study has focuses on preservice secondary history teachers who have been consumers for past textbooks and would be those for future textbooks. Through results yielded by a theme of experiencing ‘Writing < Korean history > textbook along with 17 preservice secondary history teachers, this study not only assessed preservice secondary teachers’ views on history textbook and existing textbook but also reviewed what characteristics exist on such results. This study showed implications that preliminary history teachers are able to enhance their understanding and sensitivity of educational writing via educational experience of ‘Writing Korean history textbook’ and at the same time their analysis for results from writing < Korean history > textbook is able to accompany understanding of consumers as to discussion of Korea history textbook.
LibGuides: eBooks: Home

Basic instructions on using Snead State's eBook collection, checking out Nook Readers, and links to eBook resources.
Aspek Kepribadian Tokoh Utama dalam Novel Pasangan Detektif Karya Agatha Christie: Tinjauan Psikologi Sastra sebagai Bahan Ajar Sastra di SMA

This study aims to: (1) To be able to identify the structure that builds the novel Detective Couple by Agatha Christie, (2) To be able to find the manifestations of personality aspects in terms of literary psychology, (3) To be able to find out the results of the research on the personality of the main characters in the novel Pairs of Detectives as literary teaching materials for students. The method used in this research is descriptive qualitative, the research strategy is a fixed case study. Data collection techniques used were literature study, heuristic and hermeneutic techniques. Data validation techniques with theory triangulation. The results of this study are: (1) The structure of the novel builder is depicted using three aspects (physiological, psychological, and sociological), and has a background setting, time setting, and social setting, (2) The personality aspects of the main characters consist of Gapasioneerden (orang hebat), Cholerici (orang garang), Sentimentil (orang perayu)Nerveuzen (orang penggugup), Flegmaticiti (orang tenang), (3) Implementation of research results in learning at KD High School. 3.9 class XII, learning criteria include three aspects, namely language, psychology, and cultural background
Discussion of "A Gibbs sampler for a class of random convex polytopes"

An exciting new algorithmic breakthrough has been advanced for how to carry out inferences in a Dempster-Shafer (DS) formulation of a categorical data generating model. The developed sampling mechanism, which draws on theory for directed graphs, is a clever and remarkable achievement, as this has been an open problem for many decades. In this discussion, I comment on important contributions, central questions, and prevailing matters of the article.
The Impacts of Domestic and Foreign Direct Investments on Economic Growth: Fresh Evidence from Tunisia

This paper aims to analyze the impact of domestic investment and Foreign Direct Investment on economic growth in Tunisia during the period 1976–2017. This study is based on the Auto-Regressive Distributive Lags (ARDL) approach that is proposed by Pesaran et al (2001). Bound testing approaches to the analysis of level relationships. According to the results of the analysis, domestic investment and foreign direct investment have a negative effect on economic growth in the long run. However, in the short run, only domestic investment causes economic growth. The findings are important for Tunisian economic policy makers to undertake the effective policies that can promote and lead domestic and foreign investments to boost economic growth.
Non-contact 3D Measurement of Freeform Reflective Surface

Non-contact 3D shape measurement has been widely studied and applied to many fields of science and engineering owing to high speed, high accuracy, and simple implementation. However, the measurement system still poses improper acquisition of optical signal when surfaces with high reflectivity are scanned. This paper proposes a new and effective approach to solve the problem of shiny mechanical surface measurement. The appropriate exposure time for the surface measurement is indicated through image intensity histogram analysis. The appropriate exposure times in each region of the histogram are determined. Then, point clouds are merged at appropriate exposure times to obtain a good quality point cloud, avoiding the saturation region on the CCD. Profile parts of two different aluminum surfaces are measured fast and accurately using single exposure time and proposed solution. Experimental results prove that the proposed technique can inspect the 3D surface of the mechanical parts with high surface reflectivity.
Analysis of Various Pet Animals by Using Deep Learning Algorithm

Digitalization in every where is unavoidable platform in present scenario and to contribute to pet animals this system focus on the pet animals identification for the purpose database taken from the kaggle and then preprocess those images and then extract the feature extraction can be made by using the convolutional neural networks (CNN) from that algorithm system train the input images along with the validation images and the test image which gives effective result in the identification of pet animal with the accuracy rate of 90% from the result.
Program Aplikasi Lembur PT Aplikasi Karya Anak Bangsa (AKAB) Divisi GoPay Berbasis Website

Overtime Application Program for PT. Aplikasi Karya Anak Bangsa, GO PAY Division. Thesis. Jakarta: Information Systems Study Program, School of Information and Computer Management (STMIK) Muhammadiyah Jakarta 2019. Constraints faced by employees of PT AKAB, the GO PAY division, every time they input overtime data, they must print the overtime form and manually input the overtime form. The occurrence of errors in inputting total overtime by the admin is also an obstacle that occurs. To overcome this we need an application program that can simplify the process of applying for employee overtime quickly and accurately. The system design made is a system application program design that is integrated with the website. The design of an overtime application program is based on UU RI No.13 of 2003. The initial step taken is to use the 'waterfall method', the phase begins with a needs analysis, design, system development, system testing and finally the maintenance of the system. This research is expected to make it easier for employees and admin staff to input overtime data and calculations, more valid time efficiency, cost and accuracy. In addition, it is also expected to help smooth administration in filing overtime documents.
A study of Contribution of NGOs in Human Resource Development

The human resources within the country play a major part in its development. Human Resource Development is concerned with developing skills, knowledge & competencies of the people. It is people-oriented concept. Human Resource Development can be applied both at the national & organizational level. In society, people need competencies such as knowledge, attitude, values, and skills to perform various tasks. Higher degree and quality of performance of tasks requires higher level of knowledge & skills. Without continuous development of competencies in people an organization and also the country is not likely to achieve its goals. Increasing collaborative ventures between India and foreign corporations, the import and export of technology and other resources, and importance for effective partnerships increases the concerns about human resources management and development in other countries. In the development of the country various organizations play vital role. Among these NGO is one of the important types of organization. NGOs are components of social movements. NGOs works in many different fields, but it is generally associated with those seeking social transformation and improvements in quality of life.
Analisa Pemetaan Daerah Rawan Sambaran Petir Di Wilayah Kabupaten Pasuruan Dengan Menggunakan Metode Simple Additive Weighting

Pasuruan is an area prone to lightning strikes because it is high ground between mountains and the sea, the Cumoonimbus cloud easily formed, which created lightning. Lightning in great quantity is a factor that affect the vulnerability levels of regions rate against lightning strikes, in additional to potential casualties or losses inflicted such as how populous the population or the level of buildings in the region hs also cused an area to be vulnerable to lightning strikes. The purpose of this reserach is to analyze the level of threat, susceptibility, and vulnerability of lightning strikes in the Pasuruan district. On the vulnerability levels of lightning strikes was affected by two factors, the threat factor is using data genesis lightning CG and the vulnerabilities factor is using data population density and land density for home and buildings. The method uses to analyze the two factors in this research uses Simple Additive Weighting (SAW) method to get the vulnerability levels of lightning strikes for every sub-district in the Pasuruan district those depicted on the map using ArcGIS 10 software. The result of the research showed that Puspo, Lumbang, Pasrepan, Purwosari, Pandaan, Gempol, Bangil, Rembang, Pohnjentrek Gondangwetan, Rejoso, Winongan, Grati, Lekok dan Nguling were areas which potentially had a very high level of troubled of thunderbolt.
Research Guides: Research Basics: Virtual Library Tour

A guide providing links to the Cypress College Library catalog, A-Z list of databases, Web Sources and Citation information, for Cypress College students.
Efficient Outside Computation

Weighted deduction systems provide a framework for describing parsing algorithms that can be used with a variety of operations for combining the values of partial derivations. For some operations, inside values can be computed efficiently, but outside values cannot. We view outside values as functions from inside values to the total value of all derivations, and we analyze outside computation in terms of function composition. This viewpoint helps explain why efficient outside computation is possible in many settings, despite the lack of a general outside algorithm for semiring operations.
ZOOM을 활용한 스마트 e-러닝 적용 시고

It is the biggest advantage of e-Learning that allows ubiquitous study over time and place. In this new online learning environment, teachers and learners do not have to be at the same time and place. It has a significant meaning in terms of better accessibility to the learning opportunities as well as enhanced efficiency in education. On the other hand, however, there is also growing concern about e-Learning: academic courses in the university generally involves a significant amount of presentation, debate, and mutual interaction, which is impracticable in e-Learning. Others are also concerned that the efficiency of e-Learning may be compromised due to the difficulty in management of learners. To overcome these shortcomings, real-time e-Learning classes are being suggested recently. Real-time e-Learning classes are not constrained by the limits of time and space, allowing ubiquitous participation and interaction between the teacher and students. We propose a smart e-Learning model using Zoom platform in the beginner - intermediate level Chinese language course. In addition, the review on the efficiency of this smart e-Learning model and the statistical analyses of the survey results with learners’ feedback will be suggested.