Reviewerly/exHarmony huggingface dataset:
Analisis Tokoh dan Penokohan dalam Novel Cinta Kala Perang Karya Masriadi Sambo

This study entitled Ability of Middle School Students in Banda Aceh in Answering the Problems of Higher Order Thingking Skills (HOTS) on Indonesian Language Learning. The problem this study is how the ability of junior high schoolstudents throughout Banda Aceh in answering the questions Higher Order Thinking Skills (HOTS) in learning Indonesian. The purpose of this study is that researchers can determine the ability of junior high school students throughout the city of Banda Aceh in answering questions on Higher Order Thinking Skills (HOTS) in learning Indonesian. Population of this study was the eighth grade students the three junior high schools in Banda Aceh , namely the State Middle School 1 Banda Aceh , the State Middle School 2 Banda Aceh , and the State Middle School 18 Banda Aceh academic year 2018-2019. Students from the three junior high schools numbered 598 people and sample of this study was 66 students. The method used in this research quantitative descriptive method. This research data was collected through test techniques. Analyzing data using simple statistical techniques that are quantitative. The results showed that the ability students to answer the questions Higher Order Thinking Skills (HOTS) was 42 and included in the less category. The average score obtained by students, namely (a) Junior high school 1 Banda Aceh received a score of 52 included in the less category (b) Junior high school 2 Banda Aceh received a score of 54 and was included in the category of less, (c) Junior high school 18 Banda Aceh received a score 30 and included in the Less category. The conclusions of this study indicate that junior high school students throughout the city of Banda Aceh have not been able to answer the questions Higher Order Thinking Skills (HOTS) in learning Indonesian.
WASPAS Method for Defining a Content Creator

In the era of the Industrial Revolution 4.0, social media is very influential in marketing company products, therefore companies interested in using social media need the role of content creators and employees. This is because the selection of prospective employees for content creators is still manual, and the selection of employees who are still related to family leads to an objective selection. Information technology and decision support systems need to be used as a tool to determine the selection of quality content creation staff using the WASPAS method, a combination of the WSM and WPM methods. By assigning weights to each criterion and then conducting a ranking evaluation process, this method can be used to solve the "multi-criteria decision making" problem. The result of this research is to find content creators who meet the standards of the WASPAS analysis method.
LBCC LibGuides: School of Career Technical Education: Renewable Energy

This guide highlights the course- and discipline-specific guides for the offerings in the School of Career Technical Educations. In each guide you will find the methods for finding books and other resources curated by the LBCC Librarians.
Indians in the Database

The goal of this exploratory research study is to better understand how students in the Faculty of Native Studies at the University of Alberta relate to terminology for Indigenous peoples in Canada, namely Indian, in controlled vocabulary subject headings. The language used in controlled vocabularies to describe resources about Indigenous peoples does not always reflect terms Indigenous peoples use to describe themselves, leading to a disconnect between users and subject headings. Although this issue is beginning to enter academic discourse alongside reconciliation efforts, to date no research study has examined how students react to this issue. In this study interviews were conducted with five students from the Faculty of Native Studies to better understand how they relate to terminology. Students reported feeling uncomfortable at being forced to use language they saw as racist or insensitive. Future research should be conducted to better understand student relationships with subject headings, particularly at different institutions
한국어 교육을 위한 종결어미 ‘거든’의 의미와 억양

‘Geodeun’ is divided into a function as a connecting ending and a function as a final ending. The meaning of the connecting ending ‘geodeun’ is 「condition」, and there is no disagreement. The meaning of the final ending ‘geodeun’ has been mainly discussed as 「reason」 and 「background」 in previous studies, and this is a function mainly used in the discourse context. In this paper, the basic characteristic of the final ending ‘geodeun’ is identified as 「what only the speaker knows」. When used as a connecting ending and final ending, the meaning is not the same. Sometimes Korean textbooks tend to treat both as one grammar item, but these have different meanings, so they should be treated as separate grammar items. In spoken language, the intonation plays a big role in conveying the speaker’s intentions, so it is very important to know how the intonation is realized according to the function of ‘geodeun’ used in Korean language education. This paper explains what to suggest to Korean learners about the meaning and intonation of ‘geodeun’.(Catholic University)
Best L-Shaped Glass Computer Desks

Computer desks where the working space is made of glass are extremely desirable, especially from an aesthetic point-of-view. Although carrying them ...
Collaboration between Hiroshima University and Mazda Motor Corporation

In recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the transformation of academic research at universities into the development of advanced technologies in industry, therefore enabling a full role of the university as a center of knowledge-creation. University-Industry Collaboration and the Success Mechanism of Collaboration presents recent developments in university-industry-collaborations, using case studies from Japan, and showing the mutual needs from both universities and enterprises in the knowledge-based society. Technical topics discussed in this book include: • Development of University-Industry Collaboration (UIC) in the world • Development of UIC in Japan • Case studies of UIC in Japan • Contribution of UIC from Japan to the world
Language learning model toolkit: a guidebook

The modules inside provide teachers with essential and practical implementation of HOTS-based language learn-ing in a formal education setting. Teachers can also find illustrations of the models (in various language classrooms in Indonesian contexts) through 20 learning videos. As this toolkit provides step-by-step guidance, SEAQIL expects that teachers can tailor their own HOTS-based language learning according to the needs of their unique classes. Ultimately, students, who are the main body of education, will receive the utmost impact of this toolkit.
Library Tweet Support

LibraryTweetPresentation.pdf: The presentation giving background information and a demo in .pdf.LibraryTweetPresentation.pptx: The presentation giving background information and a demo in .pptx.LibraryTweetReport.pdf: The report giving detailed information on this project as well as a User and Developer Manual.LibraryTweetReport.docx: This is the editable version of the report mentioned above.
Employing Decentralized Trading Protocol (P2P) to Optimize Assets Allocation

As it is the power of that gives occasion for the division of labor, so the extent of this division must always be limited by the extent of this power, (Adam Smith, 1776, Book 1, Chapter. 3). This paper deals with innovations in technology that have the potential to increase the power of exchanging by making decentralized P2P barter trading protocol operational in certain markets. The unprecedented growth of the market in terms of the variety of goods and services, the number of traders and the locations in which they trade make decentralized trading protocol (exchanging) more important than ever. Economic theory suggests that the optimal exchanging system is a decentralized P2P barter trading in state contingent claims on current and future consumption or in securities that represent such claims. Until now decentralized trading protocols were not possible and global trade is carried out through centralized fiat money as a medium of exchange. Fiat money contributes to a market of monopolistic competition due to the power and opportunistic behavior of governments that issue money and of central banks that manage the money. Blockchain and decentralized trading technologies make it possible to replace centralized fiat money as medium of exchange where the media of exchange are tokens registered on blockchains. The tokens represent claims on current and future consumption. Decentralized trading protocols implemented on blockchain the distributed ledger technology are still in nascent stage, but once applied even to a small and limited segment of the market they are likely to expand and to contribute to optimal asset allocation in the market as a whole.
STUDENTS’ ABILITY OF IDENTIFIYING ELEMENTS OF POETRY THROUGH GROUP DISCUSSION

This research was on the study of English literature. The objectives were firstly to investigate students’ ability of English Department, Teaching Training and Education at Prima Indonesia University, then to find out elements of poetry. This research applied descriptive qualitative approach with group discussion method and a case study design where one class at fourth semester was taken as the subjects. The instrument used in this research was an essay test taken from one of Robert Frost’s poems. Through group discussion, the students worked cooperatively to analyze the poems by sharing their arguments and ideas as the requirements to accomplish the study of poetry. The data source was the scores that led to find the criteria of the students’ ability. Based on the findings, the elements of poetry identified were stanza, lines, rhyme, rhyme scheme, rhythm, syllables, meter, foot, mood, tone, imagery, and figure of speech. Then, there were 80% students able to identify the elements of poetry. While 20% remaining were the unable students. In conclusion, there were three of four groups assigned, classified able to identify the elements of poetry. It is suggested that group discussion is one of significant cooperative learning strategy in any instructional process.
Classification of Citizens with Low Economic Level Using Naive Bayes Classification Method

The effort to reduce poverty, it is hoped that the economic growth of a region can be spread evenly. To equalize the economic level of its citizens, local governments provide many opportunities for their citizens to get help or subsidies and even help open businesses so that the welfare of their citizens can be improved. The availability of accurate and sustainable citizens' economic status data is one of the important instruments for evaluating government policies in alleviating poverty by distributing targeted aid. Therefore, this study will conduct a classification based on data from citizens with low economic levels obtained from Pasar Babakan Sub-district, Bogor. The data used in this study is the data of underprivileged residents who are in Pasar Babakan Sub-district Bogor using data mining techniques. The training data are taken from 214 citizens that has a category of underprivileged citizens with attributes used in the classification of income per day, occupation and number of dependents. The test results using the Naive Bayes Classifier method produce 100% accuracy including the excellent category with 100% precision and 100% recall.
Spam/Fake Review Detection

In our digital era of our life anything we are buying and selling the products and access the services through internet known as E-commerce. In digital era the no of users is increased on e-commerce comparison previous year. Meanwhile the customer reviews on e-commerce is increased. In e- commerce websites, fake review is the major problem for user and admin. In present day the user can write their own reviews, for their purchased product there are many ways to user can write their reviews for product. Spammer can post the fake review. Generally, the users purchased the product on their quality. the fake reviews create the fake review creates lot of problems for the products likes sales, quality economically. So, we are going to remove that type of problems Fake/spam review detection through Natural Language Processing.
Analisis Kebutuhan Pengembangan LKPD dan Handout Berbasis Pendekatan Saintifik Materi Pembelahan Sel

This research is a preliminary study to analysis the development needs of students’ worksheets based on scientific approach in cell division concept. This type of research is qualitative descriptive research. The research data were collected by survey using questionnaire to gathered teacher’s responses on the needs of students worksheets and handout in cell division teaching. Data processing based on qualitative method. The results show that: (1) The completeness of students learning outcomes in cell division concept is still relatively low, (2) Teachers need students worksheets and handout to support the achievement of learning objectives, (3) Scientific approach is applicable in teaching cell division concept. Therefore, the teaching process of cell division concept needs students worksheets and handout using scientificapproach. Keywords: students worksheets, handout, scientific approach, cell division.
Regularization-Free Structural Pruning for GPU Inference Acceleration

Pruning is recently prevalent in deep neural network compression to save memory footprint and accelerate network inference. Unstructured pruning, i.e., fine-grained pruning, helps preserve model accuracy, while structural pruning, i.e., coarse-grained pruning, is preferred for general-purpose platforms such as GPUs. This paper proposes a regularization-free structural pruning scheme to take advantage of both unstructured and structural pruning by heuristically mixing vector-wise fine-grained and block-wise coarse-grained pruning masks with an AND operation. Experimental results demonstrate that the proposal can achieve higher model accuracy and higher sparsity ratio of VGG-16 on CIFAR-10 and CIFAR-100 compared with commonly applied block and balanced sparsity.
Systematic Approach to Engineer Decentralized Self-adaptive Systems.

Self-adaptation is a widely accepted approach to deal with uncertainties that are difficult to anticipate before deployment. We focus on architecture-based adaptation that relies on a feedback loop that reasons over architectural models of the system at runtime to make adaptation decisions. In particular, we study decentralized self-adaptive systems where self-adaptation is realized through multiple coordinating feedback loops. Such decentralization is crucial for systems where adaptation decisions cannot be made in a centralized way, such as in large scale Internet of Things (IoT). State of the art in this area is limited to either conceptual ideas or solutions dedicated to particular settings. This paper outlines a research project targeting the research question: “how to model and realize decentralized feedback loops that are capable to guarantee compliance of system goals in an efficient way despite uncertainties the system faces?” We plan to answer this question in two stage. First, we study commonalities and variability of decentralized self-adaptive systems leveraging on patterns and coordination mechanisms, and reify our insights in a framework. Second, we study language support for the design and implementation of decentralized self-adaptation, capitalizing on the outcome of the first stage. To ensure guarantees for the qualities we will found our work on formal techniques. To ensure efficiency, we will combine statistical techniques with machine learning. We plan to validate the research results in two domains: IoT and multi-cloud systems.
약물동태학 모형에 대한 변분 베이즈 방법

본 논문에서는 평균장 방법(mean-field methods)을 기반으로 사후 분포(posterior distribution)를 근사하는 방법인 변분 베이즈 방법(variational Bayes methods)에 대해 소개한다. 특히, 모수들을 실수공간으로 변환 후의 결합 사후분포를 가우시안 분포(Gaussian distribution)들의 곱(product)으로 근사하는 방법인 자동 미분 변분 추론(automatic differentiation variational inference)방법에 대해 자세히 소개하고, 환자에게 약물을 투여한 후 시간에 따라 약물의 흐름을 파악하는 연구인 약물동태학 모형(pharmacokinetic models)에 적용한다. 소개된 변분 베이즈 방법을 이용하여 자료분석을 실시하고 마코프 체인 몬테 카를로(Markov chain Monte Carlo)방법을 기초로한 자료분석의 결과와 비교한다. 알고리즘의 구현은 Stan을 이용한다.
관광산업분야의 개인창의성이 기업가정신에 미치는 영향 - 사고촉진지능의 조절효과 -

The purpose of this research is to analyze the effects of thought-promoting intelligence, which is psychological inspiration to start-ups, and present appropriate alternatives to this effect of individual creativity on entrepreneurship. To this end, the theoretical consideration of the preceding study was conducted and empirical research was conducted based on the results. The analysis results of this study are summarized as follows. Individual creativity has shown a significant impact on entrepreneurship. However, among the sub-factors, motivation appears to have no effect on entrepreneurship. In the analysis of the effectiveness of thought-promoting intelligence, the effect of professionalism on entrepreneurship indicated that thought-promoting intelligence was significant and the influence of creative thinking and motivation on entrepreneurship was not different depending on the level of thought-promoting intelligence. For the purpose of this study, analysis using SPSS 25.0 and AMOS was performed.
Distributed complex event recognition

The goal of this thesis document can be divided in three main steps. First, summarize the current state of the art in complex event recognition (CER). Second, motivate the need for a new approach overcoming the issues posed by current solutions. Lastly proposeour own solution for distributing CER systems and analyze the results against current solutions to evaluate possible gains in performances. The ultimate goal when distributing CER is to augment the capacity of the system to deal with the ingestion of more events and/or patterns while maintaining a steady through-put, in other words to scale. We specically focus on scale-out settings. In such cases, a cluster of interconnected machines (i.e., processing units) over the network distribute the workload so that each deals with only a fraction of it, thus overall a higher erformanceis achieved.
uTakeCare

To control coronavirus disease 2019 (COVID-19), most countries have opted for a containment policy. When a decision of decontainment has to be taken, a question emerges regarding the digital strategy to adopt: Should we track citizens? All of them or only persons who contracted COVID-19? Should we take measures to protect elderly people or people suffering from co-morbidities? Many applications and approaches have been proposed to ensure public safety in the context of COVID-19. In this chapter, we will start by making an inventory of these applications, discuss strategies and technologies adopted, and categorize them. Thereafter we will present an approach consisting in calculating a vulnerability score to propose a solution for protecting people at risk. Then, we will detail the architecture of “uTakeCare,” an open-source application that we have implemented, as well as the method used to calculate the vulnerability score. This method is based on a belief function theory and machine learning techniques. Finally, we will discuss the ethical and legal issues of this application and the methods to be used to address them (e.g., zero-knowledge proof, smart contracts, etc.) as a way to complement general data protection regulation (roadmap to develop personal data) requirements with ethics-by-design and self-sovereign identity solutions.
Extractive Generic-Based Summarization of Multiple Biomedical Documents Using Hybrid TF-IDF Algorithm and Cosine Similarity Method

Extractive generic-based multi-document summarization is a process of summarizing multiple documents with similar topic by extracting the important information and generating a generic summary which preserve the overall content of the documents. Nowadays, the number of biomedical documents available on Web is growing rapidly due to the active research carried out by the researchers and this causes the problem of information overload and time consuming for biomedical experts to study the long and multiple related documents. Therefore, multi-document summarization has become important to solve the problem of information overload and to save the time for biomedical experts to read and understand multiple related documents. However, there are issues arise in the summarization of multi-document which are diverse and redundant information from multiple related documents and lack of cohesion in a summary. In this study, the proposed method to address the issues is performing multi-document summarization using hybrid TF-IDF algorithm and cosine similarity method. The compression ratio of 30%, 50%, 70% and 90% is applied to generate the system summary of 10, 40, 50 and 100 documents for the proposed method. The results of this proposed method are evaluated by using ROUGE-measure and T-test. For the results evaluated by using ROUGE-1, it shows that the performance of summarization with and without redundancy which determined by the ROUGE-1 F-measure is affected by the compression ratio and number of input documents. In the case of large number of input documents, the summary without redundancy has the best F-measure at lower compression ratio whereas the summary with redundancy obtains the best F-measure at higher compression ratio. In addition, for the results evaluated by T-test, it shows that the summary sentences cohesion degree for the proposed method is increasing significantly compared to the multi-document summarization using only TF-IDF algorithm.
한국군 군사전략의 새로운 구상: 제한전쟁 개념 적용

한국의 전쟁목표는 궁극적으로 통일을 달성하는 것이며, 이를 위한 군사전략의 목표는 북한 전지역을 석권함으로써 통일여건을 조성하는 것으로 유지되어 왔다. 그러나 재앙적인 피해, 북한의 핵사용, 제3국의 군사적 개입 가능성 등을 고려할 때 전쟁목표와 군사전략에 제한전쟁 개념을 적용할 필요성이 커지고 있다. 이 논문은 전쟁목표와 군사전략목표를 중심으로 한국군의 군사전략과 기존의 연구를 검토하여 보완소요를 식별하고 제한전쟁 개념을 고찰하여 한반도 상황에서의 적용 필요성과 제한전쟁 수행을 위한 한국군 군사전략의 발전방향을 제시하였다. 이 논문을 통해 한국군 군사전략 구상에 관한 논의의 지평을 넓힐 수 있기를 기대한다.A New Thought on Military Strategy of ROK: Application of Limited War Concept   The Korean War was the first major hot war in the Cold War era, which made the great powers deeply aware of the need for a limited war. Technically, the Korean War has not ended. In the case of an all-out war, South Korea sets a goal of defeating attack from North Korea and eventually achieving unification. Accordingly, the objective of military strategy is to occupy the entire North Korean territory based on total war concept. However, anticipated catastrophic damage, North Korea's use of nuclear weapons and possibility of third-party military intervention call for a cold-hearted review of plausibility of existing objectives and strategies. Military strategies can change depending on political objectives which could be affected by combinations of various factors such as political decision, North Korea's war strategy, US-ROK alliance and neighboring countries' strategy. If the political objective and military strategy are too rigid, it will be difficult to take dominance of the war and finish the war under favorable conditions. In recognition of these problems, this article argues that the concept of limited war should be applied to develop military strategy.