Reviewerly/exHarmony huggingface dataset:
Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean

Driving is one of the human activities in which daily life is often done. Driving can be done by land, air, and sea. Human mobility in driving is very high on land routes using various means of transportation. For the sake of smooth driving, roads are often equipped with traffic signs in each traffic area. Traffic signs are a means for road users to provide information and guidance for motorists about the situation in the surrounding area. The number of motorists who lack awareness of the knowledge of reading traffic signs is one of the biggest causes of accidents in Indonesia. So that a system is needed that can help in recognizing traffic signs, especially prohibited signs. The system designed using Haar Wavelet feature extraction and Euclidean distance as a classification. From the data that has been tested, the level of recognition in reading traffic signs is prohibited by 92%.
“Triggers and Spurs” of English Language Teaching at Junior High School in Yogyakarta

This research is aimed at describing activities used to make the students enthusiastic to participate in English learning activities. It is a descriptive qualitative study involving four English teachers from two schools that have different characteristics in terms of school management. The first school is under Ministry of National Education (MONE) and another is under Ministry of Religion Affairs (MORA). The data gained are from observation, Focus Group Discussion (FGD), in-depth interview, and documentation. The findings of this research shows that the students were more delighted in learning when the teacher implemented exciting learning activities. Teachers used activities to make the students enthusiastic to participate in English learning activities and to make them spurred in learning English. The teacher triggered the students by implementing activities such as Near Peer Role Model (NPRM), Mingling Games and Tiered. As a result, students become spurred because the social interaction is involved.
Pengaruh Perpustakaan Keliling Terhadap Minat Baca Di Kecamatan Palaran Tahun 2018

RONI CHOIRUDIN (141110013509203) Influence of the Mobile Library Against Reading Interest in Palaran District in 2018. Under the guidance of Prof. Dr. FI. Sudiran, M.So as Advisor I, Drs. Jamil Bazarah, M.Si As Advisor II One of the problems faced by mobile libraries is how they can serve people who are hungry for information with limited collections in limited service time. Thus the rapid rate of information, mobile libraries must play a more active role in disseminating the information in various forms, especially information in the form of books. Therefore the selection of mobile library collections must be truly professional. The type of research in this research proposal is quantitative. Quantitative research has a positivism perspective, which states that the existence of social reality / reality and physical reality. Therefore anyone who will examine the reality can observe / measure it. There is an influence of mobile library services in East Kalimantan Province library agencies on reading interest in Palaran District. From the calculation can be obtained that the calculated r value of 1.00 figures the correlation index is not negative, this means that the correlation between variable X (mobile library service) affects the variable Y (students' reading interest) and there is a direct relationship, with the word others have a positive influence between the two variables. So that the alternative Hypothesis (Ha) tells that there is a significant positive influence between mobile library services and students 'reading interest, and the null hypothesis (Ho) which states that there is a significant positive influence between mobile library services and students' reading interest is rejected. The number of mobile library services in the East Kalimantan Province library agency for reading interest services is 0.98, which means that this number is in the range of 0.90-1.00 with a positive correlation between variables X and variable Y including a very high correlation.
Evaluation of Information Technology Governance in the Application of Smart City in Bandung City Government-Indonesia

Smart City is a service that utilizes information technology for the community that can be built and developed in a government, especially in the city of Bandung-Indonesia.However, the success of a Smart City is very dependent on optimal planning and implementation plus good governance.Therefore, the technology products produced from the use of information technology must also be able to provide comfort and satisfaction for the community in which Smart City is applied.To ensure that Smart City has produced outputs and outcomes that have been successfully built and implemented, it is necessary to evaluate the extent to which information technology governance has been carried out from the beginning of planning to the application or use in the community.
LibGuides: SCM 593: Articles

A guide for students of SCM 593: Applied Project at W.P. Carey School of Business, Arizona State University
IMPROVING STUDENTS’ TOEFL-LIKE SCORE THROUGH STUDENT TEAM ACHIEVEMENT DIVISION (STAD)

TOEFL (Test of English as a Foreign Language) is an internationally-standardized English proficiency test that is widely used in Indonesia for scholarship selection purposes, graduation and recruitment requirements and placements for English language schools. However, many students, especially D3 English Study Program, State Polytechnic of Bengkalis students still faced difficulties in achieving TOEFL score required. This paper tries to propose Student Team Achievement Division (STAD to improve students’ TOEFL-Like score. It is a five interlocking components: class presentations, teams, quizzes, individual improvement scoring, and team recognition. The research was conducted in two cycles. The results found that STAD increases students’ TOEFL-like scores. The average score of students’ TOEFL-like score before applying STAD was 372. At the cycle 1, there was a slight increase to be 401,9. Then, at the end of the cycle 2, it increased to be 457.73. It means that STAD was effective in improving students’ TOEFL-like score. Therefore, it is suggested to be beneficial strategies applied in teaching and learning TOEFL to improve students’ TOEFL scores.
A Conversational Implicature Analysis In “The Wendy Williams Show” Selected Episodes

Implicature is one of pragmatics branches which has an interesting subject to learn. It is also known by conversational implicature. This study identifies two types of conversational implicature and the implicit meanings in The Wendy Williams Show. The data were identified and analyzed from the guest’s and the host’s utterances in the Wendy Williams Show. The collected data were identified and analyzed by the writer using theory from Grice (1975). This study used qualitative method as a research method. The writer took 23 episodes, and in each episode there were 1 upto 4 utterances contained implicit meanings. As a result of the study, it was found that there are 29 particularized conversational implicature and 21 generalized conversational implicature from 50 utterances were taken from The Wendy Williams Show. From the analysis it can be concluded that every utterance has different context in delivering messages which contains the implied meaning.Keywords : Pragmatics, conversational implicature, particularized conversational implicature, generalized conversational implicature, talk show.
NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders

In this paper, we present our system submission for the EmoContext, the third task of the SemEval 2019 workshop.Our solution is a hierarchical recurrent neural network with ELMo embeddings and regularization through dropout and Gaussian noise.We have mainly experimented with two main model architectures: simple and hierarchical LSTM network.We have also examined ensembling of the models and various variants of an ensemble.We have achieved microF1 score of 0.7481, which is significantly higher than baseline and currently the 19th best submission.
International Monetary Fund Structural Adjustment Policy and Loan Conditionality in Ghana: Economic, Cultural, and Political Impacts

Ghana has, until very recently, been involved in structural adjustment programs since 1983 as a condition of its receipt of loans from the International Monetary Fund (IMF). Structural adjustment required the restructuring of the Ghanaian economy in accordance with neoliberal economic theory with the intent of promoting economic development. The IMF has lauded the Ghanaian SAP experience as a success story based upon macro-level economic indicators that show growth in the national economy. However, this view ignores the micro-level economic effects of structural adjustment in Ghana, as well as the impacts on the country’s sociocultural and political circumstances. This paper uses a multidisciplinary approach to examine the broad reaching impacts that participation in structural adjustment programs have had on Ghanaian development. It argues that SAPs have done more harm than good in their economic, political, and sociocultural impacts and that Ghana has and will continue to see improvements in all of these areas as it distances itself from strict adherence to SAP recommendation following the recent exit from the program.
The FACTS of Technology-Assisted Sensitivity Review

At least ninety countries implement Freedom of Information laws that state that government documents must be made freely available, or opened, to the public. However, many government documents contain sensitive information, such as personal or confidential information. Therefore, all government documents that are opened to the public must first be reviewed to identify, and protect, any sensitive information. Historically, sensitivity review has been a completely manual process. However, with the adoption of born-digital documents, such as e-mail, human-only sensitivity review is not practical and there is a need for new technologies to assist human sensitivity reviewers. In this paper, we discuss how issues of fairness, accountability, confidentiality, transparency and safety (FACTS) impact technology-assisted sensitivity review. Moreover, we outline some important areas of future FACTS research that will need to be addressed within technology-assisted sensitivity review.
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation

Neural networks for semantic segmentation can be seen as statistical models that provide for each pixel of one image a probability distribution on predefined classes. The predicted class is then usually obtained by the maximum a-posteriori probability (MAP) which is known as Bayes rule in decision theory. From decision theory we also know that the Bayes rule is optimal regarding the simple symmetric cost function. Therefore, it weights each type of confusion between two different classes equally, e.g., given images of urban street scenes there is no distinction in the cost function if the network confuses a person with a street or a building with a tree. Intuitively, there might be confusions of classes that are more important to avoid than others. In this work, we want to raise awareness of the possibility of explicitly defining confusion costs and the associated ethical difficulties if it comes down to providing numbers. We define two cost functions from different extreme perspectives, an egoistic and an altruistic one, and show how safety relevant quantities like precision / recall and (segment-wise) false positive / negative rate change when interpolating between MAP, egoistic and altruistic decision rules.
IT Governance at Financial Technology Company using COBIT 4.1 Framework And Balanced Scorecard Perspective

PT. Walepay Finansial Teknologi (Walepay) is a Financial Technology Company. In this company, the author wants to know how good Walepay implemented IT Governance. With COBIT 4.1 and Balanced Scorecard, the author will measure the maturity level. The author will measure in AI Domain. There are 7 processes in AI domain, such as Identify Automated Solutions, Acquire and Maintain Application Software, Acquire and Maintain Technology Infrastructure, Enable Operation and Use, Procure IT Resource, Manage Changes, and Install and Accredit Solutions and Changes. For Balanced Scorecard, the author uses Financial Perspective and Customer Perspective. The highest score of Maturity level is 3.2 at AI5 Domain, the lowest score is 2.2 at AI3 Domain, and the average score of all AI Domain is 2.68 in the Defined Level. Recommendations for AI Domain from the author are Walepay need to improve about the acquire and implementation in the company especially about how to maintain technology infrastructure for the future, and also give attention to identifying the automated solution in more advance. For balanced scorecard, Walepay is good in financial perspective, but not good enough in a customer perspective.
Rhythm Dungeon: A Blockchain-based Music Roguelike Game

Rhythm Dungeon is a rhythm game which leverages the blockchain as a shared open database. During the gaming session, the player explores a roguelike dungeon by inputting specific sequences in time to music rhythm. By integrating smart contract to the game program, the enemies through the venture are generated from other games which share the identical blockchain. On the other hand, the player may upload their characters at the end of their journey, so that their own character may appear in other games and make an influence. Rhythm Dungeon is designed and implemented to show the potential of decentralized gaming experience, which utilizes the blockchain to provide asynchronous interactions among massive players.
Survey on angle-based classification

Statistical classification problems are widely encountered in many applications, e.g., face recognition, fraud detection, and hand-written character recognition. In this article we make a comprehensive analysis on statistical methods for supervised classification problems. Specifically, we introduce the angle-based classification structure, which combines binary and multicategory problems in a unified framework. Several new variants of the angle-based classifiers are also discussed, such as robust learning and weighted learning. Furthermore, we show some theoretical results about Fisher consistency for these angle-based classifiers.
Extracción automática de términos MeSH-DeCS en repositorios de Ciencias de la Salud: el caso de RUNA

To better manage and search the biomedical literature, the US National Library of Medicine developed the Medical Subject Heading (MeSH) controlled vocabulary. Thematic classification based on controlled vocabularies has been identified as a principal factor in document search and retrieval strategies. Unfortunately, given its specialized and manual nature, assigning MeSH terms to biomedical articles is a very complex, subjective, and time-consuming task, so Automated Keyword Extraction (AKE) systems are emerging as obvious solutions for its incorporation into systems that need to describe and manage thousands of documents, such as repositories.The study shows the solution incorporated into RUNA, the institutional repository of the Public Health System of Galicia, in order to facilitate the subject classification on thematic vocabularies (MeSH-DeCS).It specifically describes the system for the automatic extraction of document terms and how the solution has been integrated into the archive workflow in the repository in order to enable it to be complemented by expert cataloguers and therefore improve the quality of the thematic description carried out.
Dynamic Slicing of Aspect-Oriented Software: An UML-based Approach

In this paper, we propose a technique to compute the dynamic slice of UML models for aspect-oriented software. The UML architectural model for aspect-oriented software represents the 'core' components, 'aspectual' components and the relationship between them. Firstly, we construct aspect-oriented model dependence graph (AOMDG) as an intermediate representation of the UML model for aspect-oriented software. AOMDG is a combination of aspect-class dependence graph (ACDG) and aspect-sequence dependence graph (ASDG). ACDG is constructed by using a set of class and set of aspect class diagrams and ASDG is constructed by using a set of sequence and aspect sequence diagrams from the UML architectural model. Then, we propose an algorithm to compute the dynamic slice by traversing AOMDG by marking and unmarking the nodes for a particular scenario during run-time.
YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums

The objective of the task, Fact-Checking in Community Forums , is to determine whether an answer to a factual question is true, false, or whether it even constitutes a proper answer.In this paper, we propose a system that uses a long short-term memory with attention mechanism (LSTM-Attention) model to complete the task.The LSTM-Attention model uses two LSTM(Long Short-Term Memory) to extract the features of the question and answer pair.Then, each of the features is sequentially composed using the Attention mechanism, concatenating the two vectors into one.Finally, the concatenated vector is used as input for the MLP (Multi-Layer Perceptron) and the MLP's output layer uses the softmax function to classify the provided answers into three categories.This model is capable of extracting the features of the question and answer pair well.The results show that the proposed system outperforms the baseline algorithm.
Android Application Usada Hindu Bali as an Effort to Maintain Traditional Indonesian Cultural Heritage

Rapid technological developments affect the way people do or get something.One of them is how to get information about health.The Usada Hindu Bali application is one example of obtaining information about traditional Balinese medicine by utilizing technological developments.This application was made using the Android version 4.4 Kit Kat platform created in 2013.Using a 10.6MB file size displays several menus including: Usada Meaning, Application Rate, Other Applications, and a list of diseases and names of traditional medicines.The Usada Bali Hindu application is not only valuable in technology but displays cultural and health values, so by providing information on traditional Balinese medicine it automatically elevates the value of Balinese culture.In terms of health this application offers traditional Balinese medicine, this provides an alternative choice, so that people can choose the treatment they like.The existence of the Usada Hindu Bali application is expected to improve the health status of the community by utilizing traditional medicine information through technology-based applications.
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

The limited availability of ground truth relevance labels has been a major impediment to the application of supervised methods to ad-hoc retrieval. As a result, unsupervised scoring methods, such as BM25, remain strong competitors to deep learning techniques which have brought on dramatic improvements in other domains, such as computer vision and natural language processing. Recent works have shown that it is possible to take advantage of the performance of these unsupervised methods to generate training data for learning-to-rank models. The key limitation to this line of work is the size of the training set required to surpass the performance of the original unsupervised method, which can be as large as $10^{13}$ training examples. Building on these insights, we propose two methods to reduce the amount of training data required. The first method takes inspiration from crowdsourcing, and leverages multiple unsupervised rankers to generate soft, or noise-aware, training labels. The second identifies harmful, or mislabeled, training examples and removes them from the training set. We show that our methods allow us to surpass the performance of the unsupervised baseline with far fewer training examples than previous works.
A Note on Shift Retrieval Problems

In this note, we discuss the shift retrieval problems, both classical and compressed, and provide connections between them using circulant matrices. We review the properties of circulant matrices necessary for our calculations and then show how shifts can be recovered from a single measurement.
Continuous-variable measurement-device-independent quantum key distribution via quantum catalysis

The continuous-variable measurement-device-independent quantum key distribution (CV-MDI-QKD) is a promising candidate for the immunity to side-channel attacks, but unfortunately seems to face the limitation of transmission distance in contrast to discrete-variable (DV) counterpart. In this paper, we suggest a method of improving the performance of CV-MDI-QKD involving the achievable secret key rate and transmission distance by using zero-photon catalysis (ZPC), which is indeed a noiseless attenuation process. The numerical stimulation results show that the transmission distance of ZPC-based CV-MDI-QKD under the extreme asymmetric case is better than that of the original protocol. Attractively, in contrast to the previous single-photon subtraction (SPS)-based CV-MDI-QKD, the proposed scheme enables a higher secret key rate and a longer transmission distance. In particular, the ZPC-based CV-MDI-QKD can tolerate more imperfections of detectors than both the original protocol and the SPS-based CV-MDI-QKD.
Error Analysis and Teaching Strategies of Chinese Time Adverbs “Zai” and “Cai” for Indonesian Students

This research aimed at investigating Indonesian students’ mastery of Chinese adverbs zai (再) and cai (才). Modern Chinese adverbs were a difficult point in teaching Chinese as a foreign language. The time adverb of modern Chinese, zai (再) and cai (才), was an adverbial adverb easily misused by Indonesian students because these two adverbs had the same counterpart in Indonesian language. This research conducted a questionnaire survey among 83 Indonesian students in China. The questionnaire was a test about the use of time adverbs zai (再) and cai (才). The sentences that test 10 questions all came from the BCC corpus of Beijing Language and Culture University. After investigation, it is found that Indonesian students’ errors are more obvious. The researcher hopes that it can supplement the research achievements of Indonesian students in learning Chinese adverbs, and arouse more scholars to study the characteristics of learning Chinese adverbs for Indonesian students and promote the development of Chinese language teaching in Indonesia.
Control of noisy entanglement preparation through spatial indistinguishability

Initialization of composite quantum systems into highly entangled states is usually a must to allow their use for quantum technologies. However, the presence of unavoidable noise in the preparation stage makes the system state mixed, thus limiting the possibility of achieving this goal. Here we address this problem in the context of identical particle systems. We define the entanglement of formation for an arbitrary state of two identical qubits within the operational framework of spatially localized operations and classical communication (sLOCC). We then introduce an entropic measure of spatial indistinguishability under sLOCC as an information resource. We show that spatial indistinguishability, even partial, may shield entanglement from noise, guaranteeing Bell inequality violations. These results prove the fundamental role of particle identity as a control for efficient noise-protected entanglement generation.