Reviewerly/exHarmony huggingface dataset:
Towards Zero-Trust Database Security — Part 2

In Part One of this article, we have explored the direct and indirect means through which the same data in a database system can be accessed and the challenges they pose to adhering to the basic tenets of zero-trust security. Here, we outline the solutions that are most suitable to address these challenges and enable enterprises to implement zero-trust database security without negatively impacting core database tenets such as query performance.
Blockchain Based Connected Vehicles for Smart Green City Environment

Air pollution is perceived as a modern-day curse, a fatal by-product of increasing urbanization and rapid industrialization.The phenomenon has a plethora of negative impacts, including human health issues, damage to ecosystems, decreasing quality of food crops, and abatement of environmental standards.Passenger vehicles are a major contributor to air pollution, producing significant amounts of nitrogen oxides and carbon monoxide, among other pollutants.It is therefore necessary to enforce greener practices among citizens and introduce a reliable mechanism that encourages responsible behavior to support the environmental cause.The proposed work aims to circumvent the aforementioned problem with an IoT-enabled solution powered by blockchain technology to foster environment friendly practices in registered vehicle owners.The real essence of this project is to leverage technological innovations to solve pollution issues that befoul the urban atmosphere.We seek to achieve this goal with a financial rewardpenalty scheme that drives the urban populace to practice green living, while monitoring pollution levels using an IoT device.The ability of blockchain networks to provide a verifiable record of actions and violations [1], coupled with the capabilities of Internet of Things (IoT) paradigms to detect pollution levels present in vehicular exhaust, is exploited in this project.
Motivasi Belajar Siswa Melalui Model Pembelajaran Numbered Heads Together (NHT)

This study aims to review student motivation through the Numbered Heads Together (NHT) learning model. The research method that will be used in this research is the Mixed Method of Embedded Design. The design used is quasi - experimental design (Quasi Experi ment), namely the design of the control group (pretest and posttest). The research sample is 2 classes, namely students of class X RPL 2 consisting of 24 students as the experimental class and class X RPL 1 as a control class consisting of 24 students. Dat a collection techniques used in this study include: student motivation to learn math questionnaires, interviews, observation. The mathematics learning motivation questionnaire was given to students after learning, this questionnaire consisted of 30 stateme nts that were supplemented by five answer choices. The results of the study can be concluded that the motivation to learn mathematics students who get learning with the Numbered Heads Together (NHT) learning model increases, because of the 69 participation of the teacher in facilitating and accommodating the teaching and learning process by making interesting activities so that makes students more motivated
Encouraging an Appropriate Representation Simplifies Training of Neural Networks

A common assumption about neural networks is that they can learn an appropriate internal representations on their own, see e.g. end-to-end learning. In this work we challenge this assumption. We consider two simple tasks and show that the state-of-the-art training algorithm fails, although the model itself is able to represent an appropriate solution. We will demonstrate that encouraging an appropriate internal representation allows the same model to solve these tasks. While we do not claim that it is impossible to solve these tasks by other means (such as neural networks with more layers), our results illustrate that integration of domain knowledge in form of a desired internal representation may improve the generalization ability of neural networks.
GERAKAN DONASI BUKU DALAM UPAYA MEMBANGUN BUDAYA LITERASI : TAHAP 1

The society of a nation has a vertical relationship to the quality of the nation. The high interest in reading someone's book influences one's insight, mentality, and behavior. The Indonesian nation is a nation with a low literacy level even though it has been 70 years since Indonesia became an independent country. There are many factors why Indonesian society's literacy has a low percentage. These problems must immediately get serious attention not only from the government but from all of us. How does the discourse about "interest in reading" be carried out for all people when we still have a limited number of books read? So the book donation movement is in an effort to build a culture of literacy and literacy in Indonesia and in Banten in particular. When the state of literacy becomes a culture in Indonesia, it is not impossible that our nation will be an advanced nation.
General Mixed State Quantum Data Compression with and without Entanglement Assistance

We consider the most general (finite-dimensional) quantum mechanical information source, which is given by a quantum system $A$ that is correlated with a reference system $R$. The task is to compress $A$ in such a way as to reproduce the joint source state $\rho^{AR}$ at the decoder with asymptotically high fidelity. This includes Schumacher's original quantum source coding problem of a pure state ensemble and that of a single pure entangled state, as well as general mixed state ensembles. Here, we determine the optimal compression rate (in qubits per source system) in terms of the Koashi-Imoto decomposition of the source into a classical, a quantum, and a redundant part. The same decomposition yields the optimal rate in the presence of unlimited entanglement between compressor and decoder, and indeed the full region of feasible qubit-ebit rate pairs.
Metric Learning from Imbalanced Data

A key element of any machine learning algorithm is the use of a function that measures the dis/similarity between data points. Given a task, such a function can be optimized with a metric learning algorithm. Although this research field has received a lot of attention during the past decade, very few approaches have focused on learning a metric in an imbalanced scenario where the number of positive examples is much smaller than the negatives. Here, we address this challenging task by designing a new Mahalanobis metric learning algorithm (IML) which deals with class imbalance. The empirical study performed shows the efficiency of IML.
THE USE OF INFORMATION-EDUCATIONAL ENVIRONMENT OF REMOTE TRAINING OF STUDENTS OF HIGHER EDUCATION INSTITUTIONS

Abstract. Lately, the growing popularity of distance education: in 2014 on Google the most common search question was complete higher education. The development of education based on the principles of continuity, equal access, personal orientation forms a conceptually new model of education is "Open education". Therefore, the problem arises to use the appropriate modern educational technologies. The use of the information educational environment for student learning is one of the main implementations in institutions of higher education. The article presents the use of information and educational environment while training in the Ivano-Frankivsk national medical University and in the Zaporizhzhia state medical University, briefly discloses the use of Microsoft Office 365 and SharePoint. According to the developed questionnaire questioning of students of various forms of training and courses, interest in e-learning using Office 365 and summed up in the use of information and educational environment of the students of Ivano-Frankivsk national medical University and Zaporozhzhia state medical University.&#x0D; Research methods: analysis was conducted on the basis of materials of scientific works of contemporary researchers in the field of cloud services, questionnaires, processing of online sources and modern literature to clarify how to use Office 365. During the research were used such methods as analysis of theoretical sources on the use of Internet resources in educational process, study and generalization of experience of organization of independent work of students using information-educational environment.&#x0D; According to the Order of the MESU of April 25. 2013 №. 466 «On approving decree of distance education». Virtual education expands and updates the assignment of the teacher, make him a coach-consultant who shall coordinate the educational process, continually improve the courses that he teaches, increase creativity and skills in accordance with the innovations and innovation.&#x0D; The questionnaire has been made for surveying students of full-time and part-time forms of education. The results of usage the virtual learning environment by students of the full-time and part-time form of education are presented due to the prepared strict questions.&#x0D; After analyzing the forms of education and knowledge of students in the use of the material presented to them in Microsoft Office 365 and SharePoint, of course, it can be argued that the students of day form of education are more likely to use the site to prepare for couples and testing even at home.
World bibliography and international bibliographic cooperation

The article considers and compares the main trends in the development of world bibliographic activities, the work of the IFLA Bibliography Section, which regulates international and national bibliography. A brief historical background on the aspects of the origin of the international bibliography is given and the specifics of compiling the first bibliographic indexes, such as "General Library", "Sea of Books", "Common European Lexicon of Books" and others. The formation of international bibliographic cooperation as one of the areas of bibliographic activity dates back to the second half of the XIX century, that was related to intensive development of publishing business and, as a result, increase of producing of the printed products, and also with creation in many countries of the world of bibliographic and library national society. Emphasis is placed on the great importance for the development of bibliography and international bibliographic cooperation of the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the International Federation of Library Associations and Institutions (IFLA). Attention is focused on the history of formation of the world bibliography, organizational and technological problems of bibliographic design of electronic network resources.
Release Practices for Mobile Apps--What do Users and Developers Think?

Large software organizations such as Facebook or Netflix, who otherwise make daily or even hourly releases of their web applications using continuous delivery, have had to invest heavily into a customized release strategy for their mobile apps, because the vetting process of app stores introduces lag and uncertainty into the release process. Amidst these large, resourceful organizations, it is unknown how the average mobile app developer organizes her app's releases, even though an incorrect strategy might bring a premature app update to the market that drives away customers towards the heavy market competition. To understand the common release strategies used for mobile apps, the rationale behind them and their perceived impact on users, we performed two surveys with users and developers. We found that half of the developers have a clear strategy for their mobile app releases, since especially the more experienced developers believe that it affects user feedback. We also found that users are aware of new app updates, yet only half of the surveyed users enables automatic updating of apps. While the release date and frequency is not a decisive factor to install an app, users prefer to install apps that were updated more recently and less frequently. Our study suggests that an app's release strategy is a factor that affects the ongoing success of mobile apps.
Topical Keyphrase Extraction with Hierarchical Semantic Networks

Topical keyphrase extraction is used to summarize large collections of text documents. However, traditional methods cannot properly reflect the intrinsic semantics and relationships of keyphrases because they rely on a simple term-frequency-based process. Consequently, these methods are not effective in obtaining significant contextual knowledge. To resolve this, we propose a topical keyphrase extraction method based on a hierarchical semantic network and multiple centrality network measures that together reflect the hierarchical semantics of keyphrases. We conduct experiments on real data to examine the practicality of the proposed method and to compare its performance with that of existing topical keyphrase extraction methods. The results confirm that the proposed method outperforms state-of-the-art topical keyphrase extraction methods in terms of the representativeness of the selected keyphrases for each topic. The proposed method can effectively reflect intrinsic keyphrase semantics and interrelationships.
The other side of the Coin: Risks of the Libra Blockchain

Libra was presented as a cryptocurrency on June 18, 2019 by Facebook. On the same day, Facebook announced plans for Calibra, a subsidiary in charge of the development of an electronic wallet and financial services. In view of the primary risk of sovereignty posed by the creation of Libra, regulators and Central Banks quickly took very clear positions against the project and expressed a lot of questions focusing on regulation aspects and national sovereignty. The purpose of this paper is to provide a holistic analysis of the project encompassing several aspects of its implementation and the issues it raises. We address a set of questions that are part of the cryptocurrency environment and blockchain technology that support the Libra project. We describe the governance of the project based on two levels, one for the Association and the other for the Libra Blockchain. We identify the main risks considering at the same time political, financial, economic, technological and ethical risks. We emphasize the difficulty to regulate such a project as it will depend on several countries whose legislations are very different. Finally, the future of this kind of projects is discussed through the emergence of Central Bank Digital Currencies.
Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play

End-to-end neural approaches are becoming increasingly common in conversational scenarios due to their promising performances when provided with sufficient amount of data. In this paper, we present a novel methodology to address the interpretability of neural approaches in such scenarios by creating challenge datasets using dialogue self-play over multiple tasks/intents. Dialogue self-play allows generating large amount of synthetic data; by taking advantage of the complete control over the generation process, we show how neural approaches can be evaluated in terms of unseen dialogue patterns. We propose several out-of-pattern test cases each of which introduces a natural and unexpected user utterance phenomenon. As a proof of concept, we built a single and a multiple memory network, and show that these two architectures have diverse performances depending on the peculiar dialogue patterns.
Efficient Sketching Algorithm for Sparse Binary Data

Recent advancement of the WWW, IOT, social network, e-commerce, etc. have generated a large volume of data. These datasets are mostly represented by high dimensional and sparse datasets. Many fundamental subroutines of common data analytic tasks such as clustering, classification, ranking, nearest neighbour search, etc. scale poorly with the dimension of the dataset. In this work, we address this problem and propose a sketching (alternatively, dimensionality reduction) algorithm -- $\binsketch$ (Binary Data Sketch) -- for sparse binary datasets. $\binsketch$ preserves the binary version of the dataset after sketching and maintains estimates for multiple similarity measures such as Jaccard, Cosine, Inner-Product similarities, and Hamming distance, on the same sketch. We present a theoretical analysis of our algorithm and complement it with extensive experimentation on several real-world datasets. We compare the performance of our algorithm with the state-of-the-art algorithms on the task of mean-square-error and ranking. Our proposed algorithm offers a comparable accuracy while suggesting a significant speedup in the dimensionality reduction time, with respect to the other candidate algorithms. Our proposal is simple, easy to implement, and therefore can be adopted in practice.
Assessment in Teaching Political Philosophy

The article offers a tool that can be used for assessment of ideas in political philosophy with students in education processes. The proposed method of assessment is based on the criteria of desirability and feasibility. Employing this method can help the students focus more carefully and point their thinking to two important aspects of normative theories in political philosophy. The article provides an analysis of the two criteria and shows how desirability-feasibility assessment should proceed. By doing that, it proposes a system of combining desirability and feasibility in critical assessment of ideas in political philosophy.
Semi-supervised voice conversion with amortized variational inference

In this work we introduce a semi-supervised approach to the voice conversion problem, in which speech from a source speaker is converted into speech of a target speaker. The proposed method makes use of both parallel and non-parallel utterances from the source and target simultaneously during training. This approach can be used to extend existing parallel data voice conversion systems such that they can be trained with semi-supervision. We show that incorporating semi-supervision improves the voice conversion performance compared to fully supervised training when the number of parallel utterances is limited as in many practical applications. Additionally, we find that increasing the number non-parallel utterances used in training continues to improve performance when the amount of parallel training data is held constant.
EARLY MANAGEMENT OF MALARIA IN THE CONTEXT OF ELIMINATION: OBSERVATIONS FROM CHITWAN MEDICAL COLLEGE, NEPAL

Background: Nepal is entering a malaria elimination phase with the target for no indigenous cases set for 2025. The elimination phase is known to be a challenge due to knowledge and skills reduction as cases become rarer.&#x0D; Methods: We audited all malaria parasitology tests in Chitwan Medical College from January 2017 to December 2018. Slide positive rate, case treatment and timings were identified from case note review.&#x0D; Results: Over the 2 years, 1455 malaria tests were performed, 12 were positive, making the positive test rate at 0.83%. Eleven of these 12 case files were found. They were reviewed to find the case details. All cases were &gt;16 years old. Four cases had P. falciparum, six cases had P. vivax,and in one case, the species was not identified. Four of the 12 cases fulfilled criteria for severe malaria. All P. falciparum cases had travelled outside Nepal in the past year. Median time from symptom onset to treatment was 170 hours. Median time from attendance to anti-malarial treatment was 9 hours. Three cases did not receive guideline antibiotics according to Nepal National Protocol.&#x0D; Conclusions: In conclusion, immediate testing with malaria RDT in all febrile patients presenting to CMC for early diagnosis and prompt treatment is recommended. In addition, we urge to inform colleagues on the features of severe malaria and the national treatment protocol including use of Primaquine for progressing to elimination target.
Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot

A continuous collision checking method for a cable-driven parallel robot with an embarked robotic arm is proposed in this paper. The method aims at validating paths by checking for collisions between any pair of robot bodies (mobile platform, cables, and arm links). For a pair of bodies, an upper bound on their relative velocity and a lower bound on the distance between the bodies are computed and used to validate a portion of the path. These computations are done repeatedly until a collision is found or the path is validated. The method is integrated within the Humanoid Path Planner (HPP) software, tested with the cable-driven parallel robot CoGiRo, and compared to a discretized validation method.
Using theoretical ROC curves for analysing machine learning binary classifiers

Most binary classifiers work by processing the input to produce a scalar response and comparing it to a threshold value. The various measures of classifier performance assume, explicitly or implicitly, probability distributions $P_s$ and $P_n$ of the response belonging to either class, probability distributions for the cost of each type of misclassification, and compute a performance score from the expected cost. In machine learning, classifier responses are obtained experimentally and performance scores are computed directly from them, without any assumptions on $P_s$ and $P_n$. Here, we argue that the omitted step of estimating theoretical distributions for $P_s$ and $P_n$ can be useful. In a biometric security example, we fit beta distributions to the responses of two classifiers, one based on logistic regression and one on ANNs, and use them to establish a categorisation into a small number of classes with different extremal behaviours at the ends of the ROC curves.
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS TEKNOLOGI AUGMENTED REALITY UNTUK PEMBELAJARAN IPA DI SEKOLAH DASAR

AbstractThe purpose of this study is to develop an interactive multimedia based on augmented reality technology for science learning in elementary school, specifically for solar system introduction topic. The method used for this research was research and development (R&amp;D). Instructional Design Model used for developing the interactive multimedia was MPI model. The study was conducted to the sixth grade students of SDN 06 Pontianak Kota who was in their second semester. The data for this researh was collected through direct observation, questionnaire, interview, documentary, and measurement technique. The collected data will be analysed using qualitative and quantitative methods. The results of the study shows that: 1) MPI model used as instructional design model for developing interactive multimedia, starting from identification stage, development, until formative evaluation stage has produced an instructional product in the form of interactive multimedia that is suitable for school learning activity; 2) implementation of interactive multimedia in the classroom is using a contextual learning model because the model is suitable to visualize and simulate most of abstract concepts; 3) the average score of student learning achievement before using interactive multimedia was 38% and categorized as "Failure", and after using interactive multimedia the students scored 84.4% or classified as "Excellent".Keywords: Interactive Multimedia, Augmented Reality, Science For Elementary School