Reviewerly/exHarmony huggingface dataset:
Incentive-Compatible and Privacy-Preserving Data Analytics System enabled by Blockchain and Multiparty Computation

Blockchain, the technology at the foundation of Bitcoin and other cryptocurrencies, is being praised as a major disruptive innovation with the potential to transform most industries. Yet, considering its base architecture, it lacks some fundamental properties that are preventing a larger scale adoption. Among the others, being the blockchain a public and shared ledger, it doesn't offer privacy of data, precluding its usage to many applications that handle sensitive pieces of information. In this work, the blockchain is integrated with Secure Multi-Party Computation (MPC), a cryptographic tool that allows a number of parties to jointly compute a function over their inputs, keeping them private and guaranteeing that the output (if returned) is correct. Although the two might look apparently distant, they actually address the same set of problems, the ones where mutually mistrusting parties are involved without a trusted third party. Besides they cover different aspects of such problems, thus being considered complementary technologies. Blockchain (by means of Smart Contracts) shapes the MPC system to be incentive compatible, such that every computing party is incentivized to act honestly in order to maximize his profit, or alternatively penalized. It also provides a single and incorruptible source of truth of the entire system and, based only upon that, it enforces the contract conditions like an automated trusted third party. The resulting decentralized application (dApp) is implemented over a use-case belonging to the medical domain, in a scenario where patients earn cryptocurrency after having provided their sensitive data under an MPC scheme, while larger groups (i.e. research organizations) obtain aggregate data from arbitrary functions executed by the MPC system. Hopefully, the union between these two technologies could pave the way for a spectrum of new decentralized and incentive compatible applications, for many use-cases never explored before.
[PDF] NCERT Solutions for Class 3 English Unit-4 Little Fish Story

NCERT Solutions for Class 3 English Unit-4 Little Fish Story are part of NCERT Solutions for Class 3 English. Here we have given NCERT Solutions for ...
Important Questions for Class 12 Computer Science (Python) Chapter – 2 – Object Oriented Programming Concepts

Important Questions for Class 12 Computer Science (Python) Chapter - 2 – Object-Oriented Programming ...
Large Contact Area Trajectory Planning Algorithm for Fuel Tank with Irregular Surfaces

When the robot uses the flat scrub head to clean the outer surface of the fuel tank, the recessed structure near the ends of the fuel tank cannot be in good contact. In this paper, the outer contour of the fuel tank is detected by laser ranging sensor and described by NURBS curve. The interference between the scrub head and the fuel tank is divided into 16 cases. It is further divided into 4 types, and different adjustment algorithms are studied for different types. The article also studies the motion characteristics of the end trajectory. The results show that the proposed algorithm can greatly improve the contact area between the scrubbing head and the fuel tank surface, and ensure that the motion characteristic curve is smooth and will not impact the robot.
Medical Information Engineering in Clinical Practice

Medical information engineering is based on information technology and medical multidisciplinary cross and integration of new comprehensive discipline, in the medical information engineering specialty course setup, to give full play to the characteristics of the school, following the era and the development of technology, with the social demand as the guidance, in the medical information in the engineering curriculum, scientific analysis, optimizing the curriculum, for graduates, which has laid a good foundation for the national culture of biomedical information collection, transmission, processing, analysis, storage and medical information processing, has broad knowledge, strong ability of comprehensive application of practical talents.
New User-Friendly Software Application to Simulate and Visualize The Distribution System Operation

This paper presents a new software application that simulates and visualizes the operation of the electrical distribution system (DS) and so helps understand various process occurring in the DS. The application runs on Windows operating systems and consists of five parts: DS modeling subsystem, DS parts' parameters settings subsystem, DS operation simulation scenario creation subsystem, DS operation simulation visualization subsystem, and mathematical core. This application is the result of an effort to connect two areas of engineering research that have not yet been well connected, particularly the power system simulation software development and the data visualization software development. This application features a graphical user interface that enables users to create a DS operation simulation easily and quickly, and to understand and easily read many values during DS simulation visualization. We aimed at user-friendliness and quick-adjustability of the application. The accomplishment of these goals was tested by a group of experienced university students in the course of one year. The students also participated in a survey. The application was created using the programming language Matlab.
[PDF] NCERT Solutions for Class 3 English Unit-7 Little tiger, Big tiger

NCERT Solutions for Class 3 English Unit-7 Little tiger, Big tiger are part of NCERT Solutions for Class 3 English. Here we have given NCERT Solutions ...
A Study on Solutions to Finite-Time Optimal Control Problems by Numerical Gaussian Processes

This paper proposes solutions to finite-time optimal control problems based on numerical Gaussian processes. In the proposed method, Hamilton-Jacobi-Bellman (HJB) equations are formulated using Euler method to be solved by numerical Gaussian processes. In order to incorporate information of systems into Gaussian processes, the covariance functions are structured explicitly by HJB equations.
Bank credit to the private sector: VECM approach for Albania

Abstract. This study evaluates the determinants of bank credit to the private sector in Albania from 2000 to 2017 using a Vector Error Correction Model which includes both demand and supply-side factors. We perform Augmented Dickey Fuller Test, Phillips-Perron test and Johansen cointegration test to ensure the stationarity and long-run relation between explanatory variables. The results show that credit to the private sector is positively related to economic growth. A higher lending rate will decrease the bank credit to the private sector. Further, the decrease of non-performing loans and domestic government debt will increase the funds available for the private sector. The negative sign of error correction term and the diagnostic tests for autocorrelation, normality and ARCH effects ensure that our model is properly defined. Keywords. Bank credit , Vector error eorrection, Albania. JEL. C32, C53, E44, G21.
Precomputing Datalog Evaluation Plans in Large-Scale Scenarios

Abstract With the more and more growing demand for semantic Web services over large databases, an efficient evaluation of Datalog queries is arousing a renewed interest among researchers and industry experts. In this scenario, to reduce memory consumption and possibly optimize execution times, the paper proposes novel techniques to determine an optimal indexing schema for the underlying database together with suitable body-orderings for the Datalog rules. The new approach is compared with the standard execution plans implemented in DLV over widely used ontological benchmarks. The results confirm that the memory usage can be significantly reduced without paying any cost in efficiency.
A Study of Deep Learning: Architecture, Algorithm and Comparison

Machine learning highly comes with the broad concept of Deep Learning which is most widely using nowadays. Machine Learning is the study of inspiring PCs to learn and act like people do, and enhance their learning after some time in self-sufficient mold, by nourishing them information and data as perceptions and true connections. Deep Learning portrays a way to deal with discovering that is described by dynamic commitment, inherent inspiration, and an individual scan for significance". Deep Learning is the study of crossing point in the mid of exploration zones of neural networks, Artificial intelligence, graphical modeling, optimization, pattern recognition and Signal processing. The vital explanation behind the notoriety of Deep learning today are the radically expanded chip preparing ability (general-purpose graphical handling units GP-GPUs), altogether expanded size of the information utilized for preparing and continous evolving in the machine learning and flag/data preparing research. The study reveals the concept, different types of deep learning architecture, algorithms and applications of deep learning. This paper gives a simple view for the researchers in deep learning.
Introduction to GrAPL 2019

Scope:Data analytics is one of the fastest growing segments of computer science.Much of the recent focus in Data Analytics has emphasized machine learning.This is understandable given the success of deep learning over the last decade.However, many real-world analytic workloads are a mix of graph and machine learning methods.Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features.Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows.In this workshop we are interested in Graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning.The workshop's scope is broad which is a natural outgrowth of the wide range of methods used in large-scale data analytics workflows.
[PDF] NCERT Solutions for Class 4 English Unit-1 Neha's alarm clock

NCERT Solutions for Class 4 English Unit-1 Nehas alarm clock, are part of NCERT Solutions for Class 4 English. Here we have given NCERT Solutions for ...
Advanced Factoring Strategies for Decoupled Search Using Linear Programming

Star-topology decoupled state space search decomposes a planning task and searches over the component state spaces instead of multiplying the state variables. This can lead to an exponential reduction of the search effort. To do so, in a preprocess before the search, the given planning task is partitioned into factors, such that the interaction between these factors takes the form of a star topology. Prior work has identified several ways to automatically decompose planning tasks, however, was not able to release the full potential of decoupled search. We try to close this gap by introducing an integer linear programming formulation of the factoring process, allowing us to explicitly specify the properties that a factoring should have. We prove that our approach returns the factoring that maximizes the number of factors, if this is the objective, and employ two other properties to assess the quality of a factoring. Our experimental evaluation shows that this leads to superior performance and substantially increases the applicability of decoupled search.
LibGuides: Dyslexia - A Common Learning Disability: Home

This is a guide for those who want to learn more about Dyslexia. You could be wondering if your child could has Dyslexia, or even yourself. Maybe you are just curious and want to learn more. This guide is designed to assist you in your search.
Penalaran Berbasis Kasus Untuk Menentukan Pajak Bumi Dan Bangunan

Calculating land and building taxes requires a measure of land area and estimated costs when building a house. As such, tools are needed that can predict building material requirements appropriately and quickly. The CBR approach can be used to solve these problems, where the method is able to reason to solve problems based on existing cases as a solution to new problems. The system built in this study is a CBR system to determine the building material needs of a house. The consultation process is carried out by entering a new problem compared to the old case then the similarity value is calculated using the nearest neighbor. calculation with data on land area of 100 meter2, building area of 38 meter2, quality of type 2 building, 2 bedrooms, 1 bathroom, lightweight steel roof truss and cast tile, then the accuracy value is 0.985 of type 38 from base case so that there is an earth tax and buildings amounting to Rp. 100,389.4. The test results of 111 data test cases, obtained 9 cases that have similarity values below 0.8
Important Questions for Class 12 Computer Science (Python) chapter – 7 – Structured Query Language

Important Questions for Class 12 Computer Science (Python) chapter - 7 – Structured Query ...
LibGuides: MLA Micro-course: MLA Quiz

Using hands-on practice, learn how to create in-text and Works Cited citations, as well as craft paraphrases and summaries of source material.
Os Personal Learning Environments

This article aims to describe, in perspective, the initiatives identified in the literature related to the integration of LMS environments with external tools, usually called personal learning environments. Throughout the text are highlighted the difficulties of integrating these environments with other technologies, as well as the efforts to provide flexibility and ease in the accompaniment of learning activities between Learning Management System (LMS) and Personal Learning Environments (PLE). The description seeks, besides describing these perspectives, highlighting the challenges and possibilities that can direct other investigations in different educational settings to be viable alternatives to capture informal learning activities.
Understanding Research Drivers for New Zealand’s Advanced Research Computing

In 2018, NeSI has reached out to research leaders in NZ and started conducting structuredinterviews. The interviews were focused on the timeframe of 2015-2017, looking at where theopportunities and needs are. This was the first step of NeSI’s researcher consultation activities.Some of the notable findings were: - Diversity of drivers and needs even across similar fields - Increasing need of data, data sensitivity, sharing, and collaboration - Importance in collaboration internationally and across disciplines - Many researchers have emphasised the importance of people element in NeSI. To solvecomplex problems requires much more than just a powerful hardware.ABOUT THE AUTHORJun is in the innovation and growth role for NeSI. Jun comes from a start-up backgroundwhere he gained knowledge around good business practices on how to listen to the needsof the users.
The Effects of Using Wattpad on Process-Genre Approach towardWriting Achievement and Motivationin Tertiary Level

RINGKASAN This research presents the integration between the use of technology and teaching process. Taking advantage of technology in classroom like the use of Wattpad helps students to make the classroom activities become more efficient and improves students’ motivation since it can be used anytime and anywhere. The use of Wattpad in teaching and learning process is combined with process-genre approach. Taking advantages of process approach and genre approach, this research aims to show the effect of usingWattpad in teaching and learning process by integrating with process-genre approach towards students’ writing achievement and motivation. This medium is directed to develop an effective strategy to perform effective communication for students by seeing at students’ writing achievement and motivation. The researcher conducts the research by using pre-experimental research design. The research is begun by proposing the use of Wattpad on process genre approach. Deciding the subject and the scope of the research is the next procedure. The researcher asks for aid from experts to validate the researcher’s instrument. After the instruments have been validated, the researcher collects the data from the subject by distributing pre-test and first questionnaire in order to know students writing competence and motivation before the treatment in the first meeting. In the end of the treatment, the researcher distributes the post-test and second questionnaire in order to know students writing competence and students’ motivation after the implementation of the treatment. The next procedure is data analysis and discussion based on the data collected. The last procedure is analysing the data, discussing, and taking the inference from the result of the treatment. In the end of the treatment, the researcher found that the use of Wattpad in Process-genre approach brought positive effect toward students’ writing achievement and students’ motivation in learning English. The statistical result showed that the difference of students’ achievement and students’ motivation were significant. The researcher gave suggestion for English lecturer to use Wattpad as medium to teach English since it could help students to actively and supportively participated in teaching and learning process. For the future researchers, they suggested to consider the other approaches to be collaborated with Wattpad. This research can also be used as reference for further researcher.
Suporte à gestão de dados de pesquisa nas bibliotecas

This is an exploratory paper that aims to inventory, through the literature, the services to support for research data management in libraries. It also intends to propose a categorization and classification of services according to the proposed categories. The identification of the articles that compose the corpus of this research was carried out through searches in databases, Google Scholar and references cited. The articles were read, coded and categorized with the aid of the NVivo software, and the categories were created based on the literature review. Five categories of services were obtained in the 58 analyzed articles: Infrastructure, Technical, Support, Educational and Others. The most present services in the articles are those of the Educational and Support categories representing an extension of services already performed by libraries. It is concluded that the proposed classification requires a reanalysis and regrouping of services, since it is probable, that from the literature and from a better understanding of the area a new hierarchy will emerge or that categories will be unified or remanaged.
[PDF] NCERT Solutions for Class 4 English Unit-7 The scholar's mother tongue

NCERT Solutions for Class 4 English Unit-7 The scholars mother tongue, are part of  NCERT Solutions for Class 4 English. Here we have given NCERT ...
AstroBase: Distributed Long-Term Astronomical Database

China’s self-developed GWAC is different from previous astronomical projects. GWAC consists of 40 wide-angle telescopes, collecting image data of the entire sky every 15 s, and requires data to be processed and alerted in real time within 15 s. These requirements are due to GWAC. Committed to discovering and timely capturing the development of short-time astronomical phenomena, such as supernova explosions, gamma blasts [1], and microgravity lenses, hoping that GWAC will be able to make timely warnings and early warnings in the early stages of these astronomical phenomena. The astronomical researchers are provided with detailed information on the event by scheduling a deep telescope to record the entire process of astronomical time development. Second, the GWAC project requires observations for up to 10 years of storage. These long-term stored data are provided to astronomers to help the astronomers get new discoveries after the technology and means are updated, as well as astronomy for astronomers. Big data mining provides support.
Project Update - Society Publishers Accelerating Open access and Plan S (SPA-OPS)

Theseslides provide an interim update on the Society Publishers Accelerating Openaccess and Plan S (SPA-OPS) project – including summary results fromconsultations with learned societies and library consortia on optionsidentified.Thiswork was conducted by Alicia Wise and Lorraine Estelle of InformationPower. The SPA-OPS project was commissioned by Wellcome, UKRI, and theAssociation of Learned and Professional Society Publishers (ALPSP).
Combinatorially structured patterns in neural networks

For several decades, the statistical physics approach to neural networks has focused on learning or memorizing structureless patterns. In fact, the methods that are currently used are tailored to handle patterns that are generated either with independent identically distributed entries, or with Gaussian correlations. In this talk, I shall argue that real-life patterns have a hierarchical-combinatorial structure, meaning that they are built from combining features, themselves built from combining sub-features, etc. This creates important correlations between entries that are typically handled more efficiently in layered neural networks. These aspects will be illustrated among others by explicit computations on the Hopfield model.
Accurate, Fair, and Explainable: Building Human-Centered AI

Author(s): Springer, Aaron | Advisor(s): Whittaker, Steve | Abstract: Artificially intelligent systems play an increasingly large role in our everyday lives. These intelligent systems make decisions big and small—from who gets a mortgage to what articles we read online. However, these systems are often designed out of convenience; they are built using data that is available, they do not explain the decisions they make, and sometimes they are simply inaccurate. At best, these problems result in systems that are difficult to use; at worst, these problems result in reinforcing societal biases at scale. Rather than designing systems from a standpoint of convenience, my work centers the human experience in the design of intelligent systems. I show how to work with users to build maximally accurate systems. I demonstrate that common intelligent systems are biased and not equally usable by everyone but also that this can be fixed through careful data collection. I show what users need when a system explains itself and how we can build our systems to explain the right thing at the right time. Finally, I move this work out of the lab and into the wild through a field study with expert users of an explainable AI system. Together, I use these studies to make recommendations that ensure we meet the needs of our human users in the intelligent systems that we build.
LibGuides: SIRS Discoverer: Research Topics

SIRS Discoverer is a general reference database for upper elementary and middle school learners, researchers and educators covering curriculum areas such as reading, language arts, current events, science, social studies, history, health and technology.
Using Convolutional Neural Networks to perform content based image retrieval system

Despite being invented close to sixty years ago, artificial neural networks (ANN) remain an area of active research and a powerful tool.Their resurgence in the context of deep learning has led to dramatic improvements in various domains from computer vision.The quantity of available data and the computing power are always increasing, which is desirable to train high capacity models such as Convolutional Neural Networks (CNN).It has been shown that CNN provide a high-level descriptor of the visual content of the image.In this paper, we investigate the use of such descriptors (convolutional neural codes) within the content-based image retrieval (CBIR) application.