Reviewerly/exHarmony huggingface dataset:
Usefulness of cutting planes in the hierarchical segmentation of cardiac anatomical structures

Abstract A spatial geometric plane is defined by the three-dimensional coordinates of a pair of spatial points and the direction that the normal vector establishes, which is formed by joining those points by means of an oriented line segment. This type of planes, in three-dimensional images, is extremely useful as an alternative solution to the problem of low contrast that exhibit the anatomical structures present in cardiac computed tomography images. To do this, after using a predetermined filter bank and in order to define a region of interest, a smart operator based on least squares support vector machines is trained and validated in order to detect the aforementioned coordinates which enables the location of the plane, in the three-dimensional space that contains the considered images. Once the structure that is required to segment is identified, a discriminant function is used that cancels all information not linked to this structure. In this work, the segmentation of the left ventricle, based on region growing technique, is firstly considered and then the left atrium is segmented considering region growing technique and an inverse discriminant function. The results show an excellent correspondence relationship when the spatial union of both structures is made.
SIFAT ISOMORFIK PADA OPERASI TENSOR, BINTANG, CARTESIUS, DAN MODULAR DUA GRAF FUZZY

This article discusses about some isomorphic properties of tensor, star, Cartesius, and modular product operations of two fuzzy graphs. The results of research are the tensor product of two fuzzy graphs is isomorphic, and if and are complete fuzzy graphs then , , and .&#x0D; Full Article
Hierarchical Average Reward Policy Gradient Algorithms

Option-critic learning is a general-purpose reinforcement learning (RL) framework that aims to address the issue of long term credit assignment by leveraging temporal abstractions. However, when dealing with extended timescales, discounting future rewards can lead to incorrect credit assignments. In this work, we address this issue by extending the hierarchical option-critic policy gradient theorem for the average reward criterion. Our proposed framework aims to maximize the long-term reward obtained in the steady-state of the Markov chain defined by the agent's policy. Furthermore, we use an ordinary differential equation based approach for our convergence analysis and prove that the parameters of the intra-option policies, termination functions, and value functions, converge to their corresponding optimal values, with probability one. Finally, we illustrate the competitive advantage of learning options, in the average reward setting, on a grid-world environment with sparse rewards.
Performance Study of a Bat Searching Algorithm From System Dynamics Perspective

Abstract In this paper, the performance of a bat searching algorithm is studied from system dynamics point of view. Bat searching algorithm (BA) is a recently developed swarm intelligence based optimization algorithm which has shown great success when solving complicated optimization problems. Each bat in the BA has two main states: velocity and position. The position represents the solution of the optimization problems while the velocity represents the searching direction and step size during each iteration. Due to the nature of the update equations, the dynamics of the bats are formulated as a group of second-order discrete-time systems. In this paper, the performance of the algorithm is analyzed based on the nature of the responses in the second-order systems. The over-damped response, under-damped responses are studied and the parameters requirements are derived. Moreover, unstable scenarios of the bats are also considered when examining the performance of the algorithm. Numerical evaluations are conducted to test different choices of the parameters in the BA.
CBench-Dynamo: A Consistency Benchmark for NoSQL Database Systems

Nowadays software architects face new challenges because Internet has grown to a point where popular websites are accessed by hundreds of millions of people on a daily basis. One powerful machine is no longer economically viable and resilient in order to handle such outstanding traffic and architectures have since been migrated to horizontal scaling. However, traditional databases, usually associated with a relational design, were not ready for horizontal scaling. Therefore, NoSQL databases have proposed to fill the gap left by their predecessors. This new paradigm is proposed to better serve currently massive scaled-up Internet usage when consistency is no longer a top priority and a high available service is preferable. Cassandra is a NoSQL database based on the Amazon Dynamo design. Dynamo-based databases are designed to run in a cluster while offering high availability and eventual consistency to clients when subject to network partition events. Therefore, the main goal of this work is to propose CBench-Dynamo, the first consistency benchmark for NoSQL databases. Our proposed benchmark correlates properties, such as performance, consistency, and availability, in different consistency configurations while subjecting the System Under Test to network partition events.
Exploring the added value of blockchain technology for the healthcare domain

In this report, the University Medical Center Groningen (UMCG) has written down lessons learned on how blockchain technology can have an impact on the healthcare domain. By looking at two use-cases, the hospital challenged several teams, participating in an open innovation program and blockchain hackathon, to find a solution that showed the added value of the technology for patient care and scientific research. Besides this practical perspective, the report also considers literature discussing the current state of blockchain technology in regard to developments in the healthcare domain (touching on patient empowerment, data management, regulations, and interoperability between healthcare systems).
The Importance of Children’s Positive Thinking Development in Order to Improve Their Health

The article discusses some aspects of positive thinking in children in order to improve their health. Particular attention is paid to the development of positive thinking. The process of mental activity is described to the features of the formation of positive thinking. The article is addressed to teachers and teachers, students of pedagogical universities, methodologists
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net.

Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication from the commit history of projects. Most of the studied networks are based on the co-authorship of software artefacts. Because this neglects detailed information on code changes and code ownership we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. We apply our tool in two case studies using GitHub repositories of multiple Open Source as well as a commercial software project. Specifically, we use data on more than 1.2 million commits and more than 25'000 developers to test a hypothesis on the relation between developer productivity and co-editing patterns in software teams. We argue that git2net opens up a massive new source of high-resolution data on human collaboration patterns that can be used to advance theory in empirical software engineering, computational social science, and organisational studies.
Comparative Study on Technical terms of Crisis Management among Korean, Chinese, Japanese Languages and English

Comparing different points and common points about crisis management technical terms among Korean, Chinese and Japanese language can be helpful to understand each country’s characteristics. By comparing 12 technical terms, this study concludes that Korea and China are government-initiated but put citizens before government while Japanese case is led by civil society but they put government before citizens at least in the terms’ uses. Accordingly, it is useful to focus on Japanese civil society even if it is apparently not strong.
The use of Vocabulary Instruction at Junior High School

Vocabulary knew as the most basic aspect in language or could be called as the genesis of the language. Furthermore, in EFL the vocabulary teaching is crucially important. The researcher realizes this factor and interested to research an approach in vocabulary instruction which is form-focus instruction or FFI. FFI itself may be applied in the integrated isolated approach. Then, the researcher interested to know what kind of vocabulary instruction are the teachers used in the classroom and how do the teachers implement the vocabulary instruction in the classroom at junior high School Ibnu Mas’ud Puteri Kandangan. The researcher used qualitative method which is used the descriptive technique. The researcher used observation and interview as the technique of data collection. The research subject was two teacher which and the observation was conducted in three classes.The result showed that the vocabulary instruction or more specific FFI already used in the classroom and used in integrated approach which is focused on meaning. Although, the teachers did not know well the vocabulary instruction theory they already understand the concept. The implementation itself by always giving feedback on the meaning side while the teaching and learning activity.
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning

In this paper a new formulation of event recognition task is examined: it is required to predict event categories in a gallery of images, for which albums (groups of photos corresponding to a single event) are unknown. We propose the novel two-stage approach. At first, features are extracted in each photo using the pre-trained convolutional neural network. These features are classified individually. The scores of the classifier are used to group sequential photos into several clusters. Finally, the features of photos in each group are aggregated into a single descriptor using neural attention mechanism. This algorithm is optionally extended to improve the accuracy for classification of each image in an album. In contrast to conventional fine-tuning of convolutional neural networks (CNN) we proposed to use image captioning, i.e., generative model that converts images to textual descriptions. They are one-hot encoded and summarized into sparse feature vector suitable for learning of arbitrary classifier. Experimental study with Photo Event Collection and Multi-Label Curation of Flickr Events Dataset demonstrates that our approach is 9-20% more accurate than event recognition on single photos. Moreover, proposed method has 13-16% lower error rate than classification of groups of photos obtained with hierarchical clustering. It is experimentally shown that the image captions trained on Conceptual Captions dataset can be classified more accurately than the features from object detector, though they both are obviously not as rich as the CNN-based features. However, it is possible to combine our approach with conventional CNNs in an ensemble to provide the state-of-the-art results for several event datasets.
An Insight on Existing Online Food Delivery Applications in India and Proposition of a New Model

The purpose of this research is making an online food delivery system based on Website and Android application with New Order, Order History, Restaurant Profile, Order Status, Tracking Order, and Setting Profile features. The research method used in this research is agile method with following phases: requirement definition, analysing and determining the features needed in developing application and making the detail definition of each features, system and software design, designing the flow of developing application by using Unified Modeling Language (UML) design, and database structure design, implementation an unit testing, making database and translating the result of designs to programming language code then doing unit testing, integration and System testing, integrating unit program to one unit system then doing system testing, operation and maintenance, operating the result of system testing and if any changes and reparations needed then the previous phases could be back. The result of this research is an online food delivery system based on Website and Android application for customer, restaurant and admin user. The conclusion of this research is to help customer in making order easily, to give detail information needed by customer, to help restaurant in receiving order, and to help delivery agent while doing delivery. System provides real time current position information by using High Speed Downlink Packet Access (HSDPA) and Enhance Data for Global System for Mobile Communication Evolution (EDGE) technology, and uses a single device to obtain and send its location.
STUDENTS’ KNOWLEDGE BEFORE AND AFTER EMERGENCY RESPONSE SIMULATION AND ITS RELATIONSHIP WITH SATISFACTION AT ISLAMIC BOARDING SCHOOL IN MALANG, EAST JAVA

Malang city, East Java has several modern Islamic boarding schools that carry out an integrated education curriculum between religious, national and international curricula. In order to support its education process, the schools provide modern facilities in the form of multi-storey buildings. In an Islamic boarding school, it has 6 storey buildings with a height of 3 until 5 floors that must be managed. The school also has to educate around 430 female students and 345 male students in different areas. Emergency response simulation is a crucial activity for the students not only to educate how to respond to an emergency situation but also to evaluate the protection facilities in the school. This research was conducted to identify the students’ knowledge before and after the emergency response simulation and its relationship with the satisfaction of the simulation. A descriptive research method was carried out and the data collection techniques in this study used a questionnaire with 100 respondents from female and male students. The results of the questionnaire that had been obtained were analyzed using the Structural Equation Modeling (SEM) analysis test with AMOS version 23 application. The results of SEM analysis test on the covariance table produced P-Value of &lt;0.01; hence, there is a correlation between the Pre Test and the Post Test results. The results of the linear regression test using ANOVA showed that all independent variables (Pre Test result) have an influence on the Post Test results at 0.396 or 39.6%.
PENGARUH SEMANGAT KERJA DAN KECERDASAN EMOSIONAL TERHADAP KINERJA

This research uses descriptive approach by using questionnaires from 64 respondents, analyzed using quantitative / inferential analysis, where the analysis to test the hypothesis or know the effect of variable X1 and variable Y either simultaneously or partially to variable Y. Ordinal data processing is converted into scale interval using MSI. The results showed that the test results, although small direct influence between variables X1 with variable Y of 28% while the direct influence of variable X2 to variable Y is very big influence is 44.9% and simultaneously variable X1 and variable X2 affect Y variable of 31 , 3%
수능 역사 이의 신청 문항으로 본 학생들의 역사지식의 특징

Recently, students have been exposed to historical knowledge from various sources such as social networking sites and the Internet, and they know that history textbook knowledge is not accurate. We also know that the contents of the textbooks do not contain objective facts, but also contain one of several interpretations. However, the social belief that the CSAT should be a fair and objective assessment makes students still look at history textbooks as absolute truth. Therefore, it is difficult to answer the questions that include the interpretation of history in order to make multiple choice items like SAT. In order to minimize confusion and provide accurate answers to students who are exposed to various historical knowledge from various sources, historical facts themselves should be given an examination, excluding historical concepts, interpretations and theories. Under these circumstances, students are more likely to suffer confusion about the way history is learned, rather than learning the nature of history through disputes over historical knowledge. In short, the more history we encounter inside and outside of schools, the harder it will be to find an identity for history textbooks. Therefore, it is now necessary to move away from the learning that has been passed on to the knowledge of history and to the learning process that examines how historical knowledge is formed and which sources should be trusted. At least, the CSAT should think about a new approach to dealing with the interpretation, the original nature of history, moving away from the literary composition that induces the memorization of historical facts.
The study of mnestic function and the attention of primary school children with learning difficulties

The article deals with the results of ascertaining experiment on research of mnestic function and the attention of primary school children with learning difficulties. There are two directions of correctional work with children with learning difficulties, the first of which embodies the idea of “replacement ontogenesis”, the aim of the second approach is the development and correction of cognitive functions and their components.
An unconditional improvement to the running time of the quadratic Frobenius test

In a 2006 paper, Damgård and Frandsen designed a faster version of the Quadratic Frobenius Test. This test assumes the Extended Riemann Hypothesis in order to find small nonresidues, which allow construction of quadratic extensions with faster arithmetic. In this paper, I describe a version of the test using small nonresidues, without assuming any unproven hypothesis.
git2net: Mining Time-Stamped Co-Editing Networks from Large git Repositories.

Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication, from the commit history of projects. Most of the studied networks are based on the co-authorship of software artefacts defined at the level of files, modules, or packages. While this approach has led to insights into the social aspects of software development, it neglects detailed information on code changes and code ownership, e.g. which exact lines of code have been authored by which developers, that is contained in the commit log of software projects. Addressing this issue, we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. This information allows us to construct directed, weighted, and time-stamped networks, where a link signifies that one developer has edited a block of source code originally written by another developer. Our tool is applied in case studies of an Open Source and a commercial software project. We argue that it opens up a massive new source of high-resolution data on human collaboration patterns.
Working with Visual Studio 2019

If you have been working with previous versions of Visual Studio, you will find that Visual Studio 2019 definitely does not break the mold. What I mean to say is that Visual Studio 2019 feels much the same as previous versions, and that’s a good thing.
Hardware Implementation of Audio Watermarking Based on DWT Transform

Presently, the duplicate copy of an audio can be generated with great ease using some smart devices, and transmitted over the internet which raises concern over copyright and privacy.Digital audio watermarking is a procedure to insert some data bits known as watermark into audio signal.Then the audio with watermark is to be transmitted to end user or made public.The proposed algorithm is used to insert a binary watermark image into a detailed coefficient of the Daubechies 9/7based DWT transform.A watermark is dispersed consistently in low frequencies, which builds the robustness and inaudibility of the watermark data.Further, the watermark is embedded into an audio signal to have robust system against audio attacks and inaudible performance.The algorithm is verified using MATLAB and subsequently implemented on FPGA hardware to verify the real-time performance.Hardware implementation helps to embed the watermark at the same instance when audio is being captured.The results show promising application for real-time audio applications.
Research Guides: Davidson College Summer Institute 2019: Home Page

This guide is a compilation of resources used during the Andrew W. Mellon Foundation-funded K-12 Teachers Workshop titled: Davidson College Summer Institute, Engaging Primary Sources: A Digital Humanities Workshop.
Increasing Data Anonymity using AES and Privacy Technique

Data security and data preserve privacy had been an important area to a huge in recent years. However, rapid developments in collecting, analyzing, and using personal data had made privacy a very important issue. This thesis had addressed the problem the protect user data in the dataset from attacks internal and attacks external by using combination techniques between security technique, and privacy technique and data mining technique. The research objectives were to determine the privacy and security technique in suitable the dataset, and to implement the combination property with chosen and security technique in order to protect user data in the dataset and to validate by comparing result before and after apply privacy techniques in dataset using chosen data mining tool. The research methodology consists of three phases. the analysis phase, combination techniques phase, and results evaluating phase and for every phase has research objective.