Reviewerly/exHarmony huggingface dataset:
The Effect Of The Use Of Computer Helpful Learning Media On The Results Of Learning Themes Of Events In Living Class V SD

The purpose of this research is to know the effect of the use of computer assisted learning media on the learning outcomes of event themes in the lives of Class V elementary school students. This study uses an experimental method with bound variables (Y) is the result of learning the theme of events in the lives of students of class V SD, and the independent variable (X) is the use of computer-assisted learning media. The research was conducted at SD Negeri 2 Tataaran in October 2018. Learning outcomes data were analyzed using the t test, but previously tested normality and homogeneity as a prerequisite test. The results of this study conclude that there is an influence of the use of computer assisted learning media on learning outcomes of students in Class V SD which causes differences in achievement of learning outcomes, where the results of the theme "events in life" groups of students who use computer assisted learning media are higher than groups of students who do not use computer-assisted learning media.
New Representations for a Semi-Markov Chain and Related Filters

In this article we investigate estimation for a partially observed semi-Markov chain, or a Hidden semi-Markov Model (HsMM).We derive semimartingale dynamics for a semi-Markov chain and give them in a new vector form which explicitly exhibits the times at which jump-events occur and the probabilities of state transitions.However, the most important result is the new vector lattice state-space representation for a general finite-state, discrete-time semi-Markov chain.On this space the semi-Markov chain and its occupation times are a Markov process with dynamics described by finite matrices.These representations are new.Finite dimensional recursive filters are derived for a HsMM.
How Does the World Bank Influence the Development Policy Priorities of Low-Income and Lower-Middle Income Countries?

This study investigates the World Bank's use of lending and non-lending instruments to affect the policy priorities of developing countries. In a typical year, the World Bank lends more than $30 billion to its client countries. It also spends approximately $200 million on the provision of analytical and advisory products each year. However, insufficiently granular data on the nature, timing, and distribution of these analytical and advisory products and the policy priorities of client countries has made it difficult for policymakers and scholars to understand which World Bank instruments are most useful for effectuating change in the direction of government policy. With new data on the delivery of analytical and advisory products and micro-level survey data from 1,244 public sector officials in 121 developing countries, this study demonstrates that the organization?s non-lending instruments are more effective than its lending instruments at influencing the policy priorities of client countries. The World Bank's analytical and advisory products not only affect the direction of government policy, but also its design and implementation.
SMARTER POLICING PARADIGM FOR COMBATING CRIMES AND INSECURITY IN NIGERIA

Crime has predominantly increased in Nigeria, criminals have targeted critical national infrastructure, banking sectors, some of the governmental departments, private and public institutions. The need has risen for the law enforcement to adopt a unique strategy of policing in combating and preventing crime in Nigeria. There is a need for a smarter approach to policing that turns away from the traditional reactive style used in the past, to a proactive framework that focuses on employing analysis and criminal intelligence to reduce and prevent prolific recidivist offenders. The main reason for instituting criminal justice system is to prevent, reduce, combat and eliminate crime but in practice, it will be difficult to achieve this goal, due to the lack of cooperation between the criminal justice system officials and other governmental structures, departments and communities, can hinder safety and security around different communities in Nigeria. The study focuses on the evaluation of smarter policing paradigm that can be effective in combating crime in Nigeria. The paper adopted qualitative methodology; an interview technique was used to collect data. Findings reveal that Nigeria lacks intelligence capacities in addressing crime, few personnel are specifically trained on how to operationalize intelligence in addressing crime in Nigeria. Reactive policing is not effective in combating crime. The recommendation includes need to engage officers in specialised intelligence training, should transcend to more proactive strategy and should adopt a smarter policing model to tackle insecurity in Nigeria.
Cartographic Visualization of personalized Scientific Alerts

Different diffusion tools within collaborative networks provide to researchers more and recent information. In this paper, we focus on the scientific quality of diffused information and discuss the implications of this tendency for scientific performance. We propose a qualitative scientific watch system enriched by an alerts' personalization and cartographic visualization tools. The proposed watch system is based on scientific quality evaluation in its different parts. Scientific quality (...)
Correction to: Cyber Polygon Site Project in the Framework of the MEPhI Network Security Intelligence Center

The original version of the book was inadvertently published without the DOI number in Reference 16 of Chapter 36. The DOI number has now been added along with the link https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1016_j.procs.2020.02.113&d=DwIF3g&c=vh6FgFnduejNhPPD0fl_yRaSfZy8CWbWnIf4XJhSqx8&r=jeZ5gAbQde8tqHt7czlL8XpTksv3kwFGvx9LDEhGmBU&m=IZa0e58gsmrRtS_vyDKa0UjUdiqjWlaLWvooAzlX4nQ&s=7GbuI1uwn03OqSFs7TFQd-R1QXcZvTwP6-1R8uGJ42Q&e= .
Don't Forget to Sign the Gradients!

Engineering a top-notch deep learning model is an expensive procedure that involves collecting data, hiring human resources with expertise in machine learning, and providing high computational resources. For that reason, deep learning models are considered as valuable Intellectual Properties (IPs) of the model vendors. To ensure reliable commercialization of deep learning models, it is crucial to develop techniques to protect model vendors against IP infringements. One of such techniques that recently has shown great promise is digital watermarking. However, current watermarking approaches can embed very limited amount of information and are vulnerable against watermark removal attacks. In this paper, we present GradSigns, a novel watermarking framework for deep neural networks (DNNs). GradSigns embeds the owner's signature into the gradient of the cross-entropy cost function with respect to inputs to the model. Our approach has a negligible impact on the performance of the protected model and it allows model vendors to remotely verify the watermark through prediction APIs. We evaluate GradSigns on DNNs trained for different image classification tasks using CIFAR-10, SVHN, and YTF datasets. Experimental results show that GradSigns is robust against all known counter-watermark attacks and can embed a large amount of information into DNNs.
Sistem Informasi Pengelolaan Produksi Tutup dan Botol Pada PT Galenium Pharmasia Laboratories (Studi Kasus: Divisi Plastic Packaging Production)

PT. Galenium Pharmasia Laboratories is a private company engaged in the pharmaceutical sector in Indonesia. The Plastic Packaging Production Division is a relatively new pioneer by PT. Galenium Pharmasia Laboratories with the aim of fulfilling the need for plastic packaging used for packaging materials produced in the existing division in the company. Production management of caps and bottles that are produced is still manual, because in recording production reports, and records of material use do not use the system, it is feared that data management will take time in recording production results, data is also vulnerable to loss and damage so it is feared that information is not conveyed to the production manager . By using information systems based on computer technology, it is expected that material stocks and product stocks can be controlled properly, by making the input process of production data management that is connected to each other between users or employees with the aim of getting information quickly and getting quick responses also between users or employees. The research method uses the Waterfall method, system development uses the Unified Modeling Language, the UML diagram used in this system uses case diagrams, class diagrams, activity diagrams, sequence diagrams. This system is able to manage the production process more closely, from production planning to production completion
A Survey on PoW-Based Consensus

We provide a historical overview of proof-of-work techniques and the fields in which it plunges its roots. We are interested in PoW-techniques applied to block-chain technology and therefore we survey the state-of-the-art protocols employing these methods for consensus algorithms, emphasizing the differences between the efficient hash-cash systems and the promising bread pudding protocols. Afterwards, the consensus mechanisms are discussed and some interesting known attacks to these algorithms are collected and classified according to their underlying ideas.
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding

This paper provides the first experimental study on the impact of using domain-specific representations on a BERT-based multi-task spoken language understanding (SLU) model for multi-domain applications. Our results on a real-world dataset covering three languages indicate that by using domain-specific representations learned adversarially, model performance can be improved across all of the three SLU subtasks domain classification, intent classification and slot filling. Gains are particularly large for domains with limited training data.
LibGuides: Records management at RRU: Organize your records

Everything you need to know about organizing and destroying information at Royal Roads University. Get tips for organizing folders and documents efficiently and effectively.
One Architecture Overview

This chapter describes a high-level overview of the LE Audio One Architecture. Later chapters will focus on each layer in more detail.
Algorithms: The International Competition Network adopts a framework document on mega data and agreement analysing the impact of digitalisation in the fight against cartels

TheInternational Competition Network ( ICN, which has more than 140 members) has decided, through itsCartel Working Group, to study in more detail the implications of mega-data and algorithms in…
Economic policy for development and the new institutional economics

Motivation: Economists have increasingly emphasized the importance of institutions as a fundamental factor for economic development. However, too frequently institutional approach used in economics is simplified, both from the starting point in defining an institution and during the analysis itself. Aim: The aim of this article is to summarise the current state of knowledge on the use of the institutional perspective in the research on the economic development of developing countries. Materials and methods: The analysis is conducted from the perspective of the new institutional economics. The article uses the qualitative analysis method that includes a literature review and descriptive analysis. Results: The first part briefly describes the contribution of the new institutional economics to the research on the economic development. The second part demonstrates how the institutional perspective is used in the mainstream economics, while the third, how it is used in the development economics. Although the contribution of the new institutional economics to the development theory is significant, in practice, it is very difficult to provide clear guidelines for development policy. This is the reason why there is a huge difference between researching economic development in the spirit of the new institutional economics and how institutions are implemented in the mainstream and development economics.
A Proposed Framework to Enhance Pharmaceutical Distribution Companies Using Data Mining Techniques.

This paper discusses the challenges that meet pharmaceutical distribution companies and how to overcome it by using data mining techniques, these challenges are out of stock in the inventory that caused many problems and losses to the company, excessive inventory can also lead to damaged, expired items resulting from this lose a lot of money, So pharmaceuticals distribution companies must control their inventory levels to prevent costs of excessive inventory also prevent losing customers. And to solve these problems we need to implement data mining techniques to improve the retail supply chain process in pharmaceutical distribution companies. The paper proposes a framework to improve the retail supply chain process in pharmaceutical distribution companies starting from forecasting the products of the next month ending with delivering the right amount of medicine to the right place at the right time, in addition, to following up the stock during the month through dashboards.
Relato de Experiência Extensionista: Qualidade de Vida durante a pandemia

The context generated by the pandemic of the new coronavirus (SARS-CoV-2) caused changes in the routine of people with disabilities, especially with regard to treatment and other quality of life activities. In this context, the Quality of Life for All Project proposed the continuity of activities remotely, in order to maintain  its objectives. The present work, therefore, is na experience report of such activity with emphasis on the classes of a student with Cerebral Palsy, for which the proposed exercises were aimed at to improve and / or maintain this individual's quality of life, as well as attenuate the altered or limited aspects. To carry out the new project model, on-line meetings were held between extension workers and interns for internal organization, followed by contact with the student and family members, on a  weekly basis, which were divided into a first moment of conversation about the current situation, leisure and difficulties; and a second one, with the activities directed specifically for the case, taking into account the disorders evidenced by the pathology.  Such  intervention  made  it  possible  to  maintain  the  child's  skills, in  addition  to  the  child's  well-being and the family contexto. It was also positive for the extension workers who carried it out, since it demanded a new and challenging perspective, as well as more in-depth searches for knowledge about the pathology and rehabilitation, in a comprehensive and multidisciplinary way.
Variational autoencoders with Gaussian mixture prior forrecommender systems

Recommender systems are used everywhere, from search engines to entertainment websites like video or audio streaming platforms. They are essential when the amount of information available is substantial by providing users with the right information at the right time. The standard approach involves gathering the impressions of users based on content to create the next recommendation. However, collecting these impressions is costly and is not always accurate. A different alternative is to simply gather the binary interactions between a user and the content.Radio-Canada, the official French broadcaster in Canada, has collected these types of interactions for its video streaming platform called “Tou.TV”. They asked us to create a novel recommender system using temporal and contextual signals. In this thesis, we present two hybrid systems based on a variational autoencoder (VAE) architecture with a Gaussian mixture prior to better understand the latent space with multiple Gaussian distributions. We apply these systems on the Tou.TV dataset, but also demonstrate the efficacy of our approach on the popular dataset called MovieLens-20M. These systems with the simple enhancements proposed on the traditional VAE architecture are able to outperform popular off-the-shelf models.
Text Extraction from Business Cards and Classification of Extracted Text Into Predefined Classes

Optical Character Recognition (OCR) is the technology for identification of characters with utmost accuracy possible by employing suitable preprocessing, processing and post processing refinements. Practical application of OCR is very wide ranging from day-to-day need to scientific research purposes. One very crucial application is to Automate Digitalisation of Business cards. Since Business cards comes in different fonts and sizes, and most importantly with different lighting conditions, applying OCR can be done after careful processing. Avoiding noise from source image is one of the most crucial step in any image-processing process and it has major weightage in the accuracy of further step and thus indirectly has a huge contribution for our final outcome. Further proper noise cancellation in our source image can reduce number of future steps required to attain good accuracy and also avoid problem of iterating our sample over cycles to avoid better contrast or to distinguish text in our source lying in a noisy matrix. Digitalising business cards aims at classification of the text extracted from our source image in the hard copy of the business card directly into respected following classified fields so that it becomes a lot easier to proceed any desired function ones aims to do with that business card in this online era.
Students’ English Translation of Islamic Short Stories by The Sixth Semester of English Education Department

Translation is one of the best skills that can help us to understand the word, phrase, clause, and sentence in a text or context, to understand the message what the speaker said and especially to communicate each other. This research was conducted based on the research background that is many students got confuse or difficulties to translate sentence. It makes them often fail to understand the meaning of the sentence. The objectives of this research are to know the accuracy, clarity, naturalness, and mechanic of the students’ English translation of Islamic short stories by the sixth semester of English Education Department at IAIN Samarinda in academic year 2019/2020 and to know the quality of the students’ English Translation of Islamic short stories by the sixth semester of English Education Department at IAIN Samarinda in academic year 2019/2020. This research used descriptive quantitative research. The main instrument was the translation text. The subject of the research was the sixth semester students of English Education Department, IAIN Samarinda which consist of 30 students. The collected data were analyzed by using statistic calculation of Mean. The result of this research showed the students’ translating English into Indonesian based on each aspect as follows: first, the result of all the accuracy’s score were 22 (good to average), second, the result of all the clarity’s score was 20 (fair to poor), third, the result of all the naturalness’s score was 16 (very poor), and last, the result of all the mechanic’s score was 12 (very poor). Based on the result of this thesis, that the Mean score is 69,43. The researcher concludes that the class quality in translating English Islamic short stories is the category “Fair” quality.
The Shapley Value of Inconsistency Measures for Functional Dependencies

Quantifying the inconsistency of a database is motivated by various goals including reliability estimation for new datasets and progress indication in data cleaning. Another goal is to attribute to individual tuples a level of responsibility to the overall inconsistency, and thereby prioritize tuples in the explanation or inspection of dirt. Therefore, inconsistency quantification and attribution have been a subject of much research in Knowledge Representation and, more recently, in Databases. As in many other fields, a conventional responsibility sharing mechanism is the Shapley value from cooperative game theory. In this paper, we carry out a systematic investigation of the complexity of the Shapley value in common inconsistency measures for functional-dependency (FD) violations. For several measures we establish a full classification of the FD sets into tractable and intractable classes with respect to Shapley-value computation. We also study the complexity of approximation in intractable cases.
Ponto de vista de editoras universitárias diante da prática do acesso aberto a monografias

The reduction of costs in university publications caused an obstacle to the dissemination of the knowledge produced to society, leading to the need to adhere to new editorial publishing practices, namely monographs in Open Access. The present study aims to analyze the strategies of university presses in the implementation of Open Access to monographs. It is an exploratory research, with a qualitative approach, based on scientific production analyzed using the terms “Open Access” and “university press”, available on the Web of Science platform. A content analysis of the articles is presented, with the actions developed by university publishers, the main positions and actions related to monographs. The study results reveal the existence of some pioneering initiatives, but the topic is little debated among university presses, mainly due to the challenge that the implementation of the monographic editorial practice in Open Access imposes.
REPRESENTATION OF CARE LEAVING AND CARE LEAVERS IN MEDIA DISCOURSE. A POLISH STUDY

The presented analyses aim at depicting social discourse concerning the process of care leaving. They are of a preliminary nature and are intended to prepare methodological, and theoretical grounds for a larger research project devoted to this issue. The analyses are conducted in the framework of critical discourse analysis (CDA). The analyses facilitated the identification of major linguistic forms (tokens), as well as their broader clusters (genres), constituting the content of the investigated discourse. Moreover, the reconstruction of a discursively created subject of the transition from foster care to independent life (i.e., the care leaver) was performed in the context of these analyses, together with characteristics assigned to the subject.
Transversality of Information Transmission Channels in Digital Art (on the Example of the Petscop Project)

This article describes the expansion of classical art formats in the context of the development of digital art. Using the example of the YouTube channel Petscop, the problem of transversality (term by F. Guattari and J. Deleuze) of information in modern communication is considered. The condition of transversality allows us to mark possible shifts in the understanding, perception and interpretation of information in modern discourse.
PKM USAHA AIR SUSU KEDELAI UNTUK HOME INDUSTRY

Soy milk is obtained by grinding soybeans soaked in water. In producing soy milk, Mitra experienced problems because the equipment in the production process was still manual and very simple. So that the production time becomes long and has an impact on the lack of income due to the limited production equipment. The aim of this community service program is to assist household-scale soy milk producer partners in terms of improving the quantity and quality of soy milk products. The solution that we can do through this program is by providing and introducing a soy milk machine and explaining how to maintain the machine. Results or output targets achieved from community service for partners, namely partners have used soy milk production machines so that the quality and quantity of soy milk can increase. In addition, there is an increase in the number of customers and turnover of partners as well as an increase in understanding and skills of partners.