Reviewerly/exHarmony huggingface dataset:
Identifiability of Discrete Concentration Graphical Models with a Latent Variable

We present an algorithm that can decide whether a graphical model is identifiable. The algorithm is supported with a MATLAB package, iugm. However we presume that the input graphical models are represented by undirected graphs, and the aim is to determine whether they are identifiable or not. Since a distribution P can be completely characterized by its moments, we decide a model as identifiable if it can be uniquely represented in terms of its moments, one-to-one mapping. As for global identifiability, the existence of two different vectors of parameter values that yield the same moments of the distribution of the observed variables negates global identifiability. Therefor, the one-to-one mapping for globally identifiable models is in the whole domain. While local identifiability dictates that the parametrization map has full rank and the one-to-one mapping is satisfied in a neighborhood. For models where the parametrization map does not have full rank, we compute the subset of the parameter space where identifiabilty collapses. The algorithm and the accompanying package are stipulating the existence of only one hidden (latent) variable that is connected to all observed variables. Moreover, all variables have a binary state.
Sculpting light with paper for computational mobile phone microscopy

Many optical microscopy techniques rely on structured illumination by way of a projected image (eg. structured illumination microscopy) or a tailored angular distribution of light (eg. ptychography). Electro-optical equipment such as spatial light modulators and light emitting diode (LED) arrays are commonly used to sculpt light for these imaging schemes. However, these high-tech devices are not a requirement for light crafting. Patterned diffusely reflecting surfaces also imprint a spatio-angular structure onto reflected light. We demonstrate that paper patterned with a standard commercial printer can serve to structure the illumination light field for refocusing and stereo microscopy on a mobile phone microscope. Our results illustrate the utility of paper as a light sculpting element for low-tech computational imaging.
Detection and Removal of Noisy Land Magnetic Data Spikes

&amp;lt;p&amp;gt;Detection of land magnetic data spikes is an important issue in magnetic data processing. In addition, the presence of noisy contributions such as spikes, stripes and zigzag effects in magnetic data visualization represents the most common flaw that may degrade the image. Rendering the correct detection and identification of features very uncertain. In this study, a script called &amp;quot;Window_Despike&amp;quot; was written to mark the spike data points and give the index of each spike point. Spikes were replaced by linearly interpolating the adjacent &amp;quot;good&amp;quot; amplitudes, or replaced by Not a Number (NaN). Different windows size starting from window size of 3 till 9&amp;amp;#160;compared and found that the best window size is 5.&amp;lt;/p&amp;gt;
Artificial Intelligence for Precision Medicine and Better Healthcare

Precision medicine is an important and growing area of research, development and healthcare for the diagnosis of diseases and patients precare. It involves analysis of a patient's personal data, genetic information, circumstances to diagnose and cure the disease. It allows researchers to design and develop the medication for prevention of specific viruses. It has the potential to improvise the traditional symptom driven retrospective practice of medicine, by allowing earlier interventions with advanced diagnostics, which can further be used for tailoring personalized treatments. Identification of the pathway for developing a personalized medicine involves analyzing comprehensive patient information along with broader aspects to monitor and distinguish between healthy and sick people, which will lead to a better understanding of biological indicators that can signal shifts in health. In order to positively impact the patient’s health and to provide real time decision support, it is vital to leverage the power of electronic health records by integrating disparate data sources and discovering patient-specific patterns of disease progression. The goal of which is to use multiple types of data and classify patients into precise groups that will benefit from a given treatment approach. In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare. In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.
Subject & Course Guides: OHIO Libraries 2020 Homecoming: History of Student Expression

In this historic year, Ohio University Libraries invites students, alumni, and community members to participate in OHIO's first-ever virtual Homecoming celebration. In the tradition of Homecoming events of years past, our 2020 offerings aim to immerse par
Personal Journal of Applied Linguistics Tenses Mistakes of the 10th Grade Students in Writing Recount

Recount is one of topic taught for the 10th grade students of senior high school include at Senior High School 1 South Tangerang City. And it is certain that the same topic will be taught again at the next level namely at 11th and 12th either just to repeat or to examine the student English knowledge or skill. Thus the students should be capable of recount in order to pass this topic well to achieve passing grade score. However, there are half of the class couldn’t get passing grades in writing recount text. Hence the writer was interested to do mini research to get reality why a half of the class didn’t pass on test of writing recount. Then the writer did the research to 18 participants. The research is by assigning 18 participants to write their activities or experiences that they did during holiday when the 12th grade students were doing the final examination with clear instruction and theme. The result was that most of participants have done many mistakes in using verbs, one of the language features that is along with the recount text is. In writing recount there are still many participants which use present verbs to tell the past activities and experiences. There are two past forms to concern in writing recount, they are linking verbs and action verbs. Linking verbs comprises was, were, saw, heard, etc; while action verbs are like went, looked, ran, sat, visited, sang, etc. Therefore this case must be an important note for every English language teacher in teaching recount. This is very important in order to avoid the mistakes in tenses of the use of both linking verbs and action verbs for the students when they are tasked to a project in composing recount text.
The concept of the Social Dimension of Higher Education as it appears in the Bologna Process from 1999 to 2019 (full text in Greek)

The present study examines the concept of Dimension, as presented in the Bologna Process from 1999 to 2019. At first, the content of this term is studied and then it is examined whether and to what extent Social Dimension is implemented. The main conclusions provided by the Joint Announcements of the meeting of European Ministers and other formal texts referring to the Bologna Process, are that in the context of Social Dimension several concepts are involved. Those concepts include mobility, access to Higher Education, equality, lifelong learning, studying conditions and student’s personal development, which are analyzed individually. Furthermore, it appears that the Social Dimension of Higher Education was firstly introduced in the Bologna Process as a general term and throughout the duration of the meeting in the context of the Bologna Process and the Seminars which were conducted, it was associated with different concepts and its content referred to more specialized matters. Finally, it is concluded that Social Dimension is not a priority in the agenda of the Bologna Process, due to inaccuracies in its own definition and other weaknesses of the state members that take part in the Bologna Process.
A Deep Learning Curve for Post-Editing 2

In the last couple of years, machine translation technology has seen major changes with the breakthrough of neural machine translation (NMT), a growing number of providers and translation platforms. Machine Translation generally is experiencing a peak in demand from translation buyers, thanks to Machine Learning and AI being omnipresent in the media and at industry events. At the same time, new models for defining translation quality are becoming more widely adopted. These changes have profound implications for translators, LSPs and translation buyers: translators have to adjust their post-editing approaches, while LSPs and translation buyers are faced with decisions on selecting providers, best approaches for updating MT systems, financial investments, integrating tools, and getting the timing for implementation right for an optimum ROI.In this tutorial on MT and post-editing we would like to continue sharing the latest trends in the field of MT technologies, and discuss their impact on post-editing practices as well as integrating MT on large, multi-language translation programs. We will look at tool compatibility, different use cases of MT and dynamic quality models, and share our experience of measuring performance.
The Dalenius perspective

We now consider the possibility that the adversary knows interesting correlations among different secrets, and we study the implications of that for information leakage.
Forming knowledge of the pupil in the progress of technological preparation

This article discusses the question of accustom high school students to professional work and conformity of the content of the educational process to the future operations of students, and to find effective ways of productive areas of training. It was proposed to establish a link between the themes of the school of theoretical programs and practical sessions with the aim of providing clear and effective learning. In addition, high school students could participate in the production of, and trained in needed technology. Our goal is to prepare students to technology is the formation of their training to practice in the field of production. It was also noted the importance of training needed to apply knowledge in work, in the development of the education of a student active and hardworking employee.
Research on the Evaluation Index System of Sports Enterprise Informationization

With the continuous development of the society, informatization is a social theme of the new century, whose core is the e-government. In this paper, the research and establishment of the sports Enterprise Informatization Evaluation Index System is aiming to make quantitative evaluation of the sports enterprise informatization, calculate the index of information, and analyze the evaluation result qualitatively.
Timing attacks on blinded and bucketed cryptography

In this chapter, we apply the theory of quantitative information flow to the important practical problem of timing attacks on cryptography. In such attacks an adversary observes the amount of time taken by a large number of cryptographic operations, in an effort to discover the secret key being used.
Synthesizing Lemmas for Inductive Reasoning.

Recursively defined structures and properties about them are naturally expressed in first-order logic with least fixpoint definitions (FO+lfp), but automated reasoning for such logics has not seen much progress. Such logics, unlike pure FOL, do not even admit complete procedures, let alone decidable ones. In this paper, we undertake a foundational study of finding proofs that use induction to reason with these logics. By treating proofs as purely FO proofs punctuated by declarations of induction lemmas, we separate proofs into deductively reasoned components that can be automated and statements of lemmas that need to be divined, respectively. While humans divine such lemmas with intuition, we propose a counterexample driven technique that guides the synthesis of such lemmas, where counterexamples are finite models that witness inability of proving the theorem as well as other proposed lemmas. We develop relatively complete procedures for synthesizing such lemmas using techniques and tools from program/expression synthesis, for powerful FO+lfp logics that have background sorts constrained by natural theories such as arithmetic and set theory. We evaluate our procedures and show that over a class of theorems that require finding inductive proofs, our automatic synthesis procedure is effective in proving them.
Multi-keyword Search for Multiple Data Owners Over Encrypted CloudData

Cloud computing is a developing IT framework model that composes a tremendous asset of figuring, stockpiling, applications controlling and arranging, and getting to online applications with high productivity and insignificant overhead. Cloud information proprietors pick to source reports in a scrambled kind for security preservation purposes. The advancement of efficient and dependable figure content pursuit procedures is fundamental. This will make it significantly harder to plan ciphertext search which conspires that can give conservative and proficient online information recuperation on the mammoth volume of scrambled data. The proposed progressive methodology structures bunches of reports are dependent on the base edge of pertinence and in this way partition the subsequent groups into sub-bunches until the farthest point on the most extreme. The proposed technique has a preferred position over the customary strategy in the security rank and significance of the recovered records. So, we implemented an email authentication, and the trapdoor and the secret key can be generated. Multiple data owners can search for multiple keywords on the cloud server for retrieving data.
НАВЧАЛЬНІ ІНТЕРАКТИВНІ ПЛАТФОРМИ У ПОЧАТКОВІЙ ШКОЛІ

Learning platform means an online service that provides information, tools and resources to participants of the educational process to support and improve the quality of education and its management. Interactive educational platforms involve dialogue and respond to the actions of pupils, they become the active participants of the learning process. Computer support of primary school lessons helps to keep students attention, provides the visuality of the presented material and a dynamic of lesson.In the article the educational platforms for constructing the interactive didactic material according to ready-made templates, taking into account pedagogical expediency, and using the library of developed interactive tests, tasks, quizzes, educational games etc. in the educational process of primary school are analyzed. Learning apps allows to create the exciting educational material or to use the prepared assignments with considering the learning goals and individual characteristics of students. Online TestPad contains not only ready-made tasks, but also constructors for creation of tests, polls, crosswords, logic games, complex tasks and also service for the organization of work with the users. Vchy.com.ua provides an opportunity for the students of the primary school to learn Mathematics in an interactive way. The Ukrainian spelling trainer allows to learn and repeat the rules as well as to solve the tasks and interactive tests. The aim of Learning.ua is a practice learning of students that transforms knowledge into skills. The program contains interactive tasks and games in Ukrainian language and Mathematics (reading – 3-6 years), as well as Olympiad tasks of different levels of complexity.The cloud-based interactive technologies are the powerful learning tool that will enhance the motivation of learning, the development of the student’s abilities, creativity, the students’ openness to new ideas and new technologies.
CALLIG: Computer Assisted Language Learning using Improvisation Games

In this paper, we present the ongoing development of CALLIG – a web system that uses improvisation games in Computer Assisted Language Learning (CALL). Improvisation games are structured activities with built-in constraints where improvisers are asked to generate a lot of different ideas and weave a diverse range of elements into a sensible narrative spontaneously. This paper discusses how computer-based language games can be created combining improvisation elements and language technology. In contrast with traditional language exercises, improvisational language games are open and unpredictable. CALLIG encourages spontaneity and witty language use. It also provides opportunities for collecting useful data for many NLP applications.
Subject Guides: Submitting Electronic Theses and Dissertations (ETDs): Create a Researcher ID - ORCID

This guide provides guidance for American University students who are required to submit their theses or dissertations electronically. IMPORTANT NOTE: links to AU's official ETD Submission and Style Guide and templates are located under the HOME tab below
TArC Un corpus d'arabish tunisien

TArC : Incrementally and Semi-Automatically Collecting a Tunisian arabish Corpus This article describes the collection process of the first morpho-syntactically annotated Tunisian arabish Corpus (TArC). Arabish is a spontaneous coding of Arabic Dialects (AD) in Latin characters and arithmographs (numbers used as letters). This code-system was developed by Arabic-speaking users of social media in order to facilitate the communication on digital devices. Arabish differs for each Arabic dialect and each arabish code-system is under-resourced. In the last few years, the attention of NLP on AD has considerably increased. TArC will be thus a useful support for different types of analyses, as well as for NLP tools training. In this article we will describe preliminary work on the TArC semi-automatic construction process and some of the first analyses on the corpus. In order to provide a complete overview of the challenges faced during the building process, we will present the main Tunisian dialect characteristics and its encoding in Tunisian arabish.
THE CORRELATION BETWEEN STUDENTS’ LEARNING INTEREST AND THEIR ENGLISH ACHIEVEMENT AT SMAN 10 KENDARI

The purpose of the research is to find out a significant correlation between students' learning interest and their English achievement in SMAN 10 Kendari. The method used in conducting this research is correlation study. The results of the research show that there is significant correlation between students’ learning interest and their English achievement. It can be seen by the results of analysis using Correlation Product Moment with help program SPSS Version 16, it showed a significance value rxy is 0.382; df is 100 if it is compared with the r table at the degree of significance 5% (0.195) and 1% (0.254), the correlation between students’ learning interest and their English achievement is significant (rxy: rtable= 0.382 &gt; 0.195; rxy: rtable = 0.382 &gt; 0.254) it means that H0 rejected and H1 accepted. Thus it can be concluded that there was significant correlation between students’ learning interest and their English achievement at SMAN 10 Kendari in academic year 2016/2017. Keywords: Correlation, Learning Interest, English Achievement
Defense against side channels

This chapter, like Chap. 19, considers timing attacks against RSA decryption — but from a different perspective. Recall that in Chap. 19 decryption is treated as a black box protected only by the “external” defenses of blinding and bucketing, and under a weak observational model that allows the adversary to see only the total amount of time required by a decryption, as might be appropriate if the decryption were done remotely.
Practical Statistics for Research in Machine Translation and Translation Studies

The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.
LibGuides: Landing Your Dream Job: Home

This guide is based on information provided by Jan-Marie Lanuzza, Experiential Education Coordinator and Jean Moats, Director of Library Services.
LibGuides: Youth Services @ OCPL: Tech @ Your Library

An online guide to services and activities for children and teens at the Oconee County Public Library (South Carolina)
Blockchain Wallets in Health care systems

The whole concept of Blockchain is fascinating, no doubt. However, there is a catch here. As cryptocurrencies are becoming the order of the day in financial markets, a lot of patience goes into understanding and managing them. We know that cryptocurrencies are digital money, so where do we store them? The answer to this question is Blockchain Wallets. We classify, and compare the advantages and disad-vantages of various routing protocols. We also address Emergency health issues and suggest how it can be improved.
Posterior vulnerability and leakage

We recall from Chap. 3 that, given a secret X with prior distribution π, the “threat” to X can be measured as its g-vulnerability Vg(π) for a suitably chosen gain function g — where the choice of g reflects the circumstances, and the importance to us of the secret’s remaining undisclosed, and might vary depending on who “we” are and what adversary we are facing.
Automatically Assess Children’s Reading Skills

Assessing reading skills is an important task teachers have to perform at the beginning of a new scholastic year to evaluate the starting level of the class and properly plan next learning activities. Digital tools based on automatic speech recognition (ASR) may be really useful to support teachers in this task, currently very time consuming and prone to human errors. This paper presents a web application for automatically assessing fluency and accuracy of oral reading in children attending Italian primary and lower secondary schools. Our system, based on ASR technology, implements the Cornoldi’s MT battery, which is a well-known Italian test to assess reading skills. The front-end of the system has been designed following the participatory design approach by involving end users from the beginning of the creation process. Teachers may use our system to both test student’s reading skills and monitor their performance over time. In fact, the system offers an effective graphical visualization of the assessment results for both individual students and entire class. The paper also presents the results of a pilot study to evaluate the system usability with teachers.