Reviewerly/exHarmony huggingface dataset:
Gentle Measurement of Quantum States and Differential Privacy.

In differential privacy (DP), we want to query a database about n users, in a way that “leaks at most e about any individual user,” even conditioned on any outcome of the query. Meanwhile, in gentle measurement, we want to measure n quantum states, in a way that “damages the states by at most α,” even conditioned on any outcome of the measurement. In both cases, we can achieve the goal by techniques like deliberately adding noise to the outcome before returning it. This paper proves a new and general connection between the two subjects. Specifically, we show that on products of n quantum states, any measurement that is α-gentle for small α is also O( α) -DP, and any product measurement that is e-DP is also O( e√n) -gentle. Illustrating the power of this connection, we apply it to the recently studied problem of shadow tomography. Given an unknown d-dimensional quantum state ρ, as well as known two-outcome measurements E1,…,Em, shadow tomography asks us to estimate Pr[ Ei accepts ρ] , for everyi∈[ m] , by measuring few copies of ρ. Using our connection theorem, together with a quantum analog of the so-called private multiplicative weights algorithm of Hardt and Rothblum, we give a protocol to solve this problem using order ( logm) 2( logd) 2 copies of ρ, compared to Aaronson’s previous bound of O( ( logm) 4( logd) ) . Our protocol has the advantages of being online (that is, the Ei’s are processed one at a time), gentle, and conceptually simple. Other applications of our connection include new lower bounds for shadow tomography from lower bounds on DP, and a result on the safe use of estimation algorithms as subroutines inside larger quantum algorithms.
Applicable Dynamic Forensics Investigation via Client-Server Architecture with MYANFOSIS

Information technology is progressively used by end users, business, and government on the different device models with various operating systems in all over the world. The widespread usage of information technology could create the environment that is potentially conducive to malicious activities and illegal operations. Forensic investigation on heterogeneous infrastructure via client-server architecture becomes an emerging requirement field for forensic practitioners in Myanmar. There is a need for the investigation research of locating and documenting the data remnants on diverse platforms to trace the criminal activities. Nowadays, we need to develop cyber forensics tool that is easy to use for non-technical forensic investigator. The purpose of this paper is to present the importance for the study of cyber forensics facing against cyber-crime. The discovered data remnants can provide the forensic examiners generating the effective evidences in real-world forensics. The discovered data remnants can lead the forensic data reduction. We proposed applicable framework and tool (MYANFOSIS) for cyber-crime dynamic forensics investigation in Myanmar.
SISTEM INFORMASI MONITORING ALAT DAN BAHAN PRAKTIKUM STUDI KASUS LABORATORIUM BAKTERIOLOGI SMK TUNAS MEDIKA

SMK Tunas Medika is an institution as a vocational secondary education and hascompetency expertise in Health Analyst which is now better known as the medical Laboratory Staff. In teaching and learning activities SMK Tunas Medika has productive subjects that are theoretical and practical, therefore the importance of practicum facilities in the school environment is very noticed by the school manager, one of them is the bacteriological laboratory. Bacteriological laboratory requires a data inventorying, monitoring tools and stock materials lab so that teaching and learning activities are not disrupted, and therefore in this research the author aims to develop an information system monitoring to provide convenience to the head of the laboratory to check the condition of the tool and the availability of materials lab. The research was developed through qualitative methods, namely data collection through the study of documents, observation and interviews. The method used is using Waterfall SDLC (Software Development Life Cycle) Waterfall. All data is implemented with PIECES and OOAD implementation design (Object Analysis and Design) with tools (UML) Unified Language Model. With this monitoring information system expected to help the head of the laboratory to record the condition of the equipment and the availability of practicum materials in the bacteriology laboratory of SMK Tunas Medika
Covert Channel Cyber-Attack over Video Stream DCT Payload

The two main cyber-attack techniques via video packets are based on using the packet header or the payload. Most of the standard software protection tools easily detect anomalies in headers since there are fewer places to embed the malicious content. Moreover, due to the relatively small header size, such attacks are limited by the data volumes that can transfer. On the other hand, a cyber-attack that uses video packets’ payload can effectively conceal much more information and produce covert channels. Multimedia covert channels provide reasonable bandwidth and long-lasting transmission streams, suitable for planting malicious information and therefore used as an exploit alternative. The primary focus of this article is a proof of concept of cyber-attack that conceals malicious data in a video payload in the compressed domain, using steganography (in real time). This malicious data is extracted using a covert channel and a malware (that had previously planted at the end user side), on the other side. Additionally, after the implementation of the attack, it is necessary to review its parameters and conclude what the optimal parameters to use in different video scenarios. In this paper, we will demonstrate attacks that take advantage of compressed domain video payload. It is important to note that this method can be used as a method of copyright protection.
Design of an Invariant EKF for Nonlinear Measurement Equations and its Application to a Mobile Robot

In this paper, a variation of invariant extended Kalman filter(IEKF) is proposed. A recent publication discussed an IEKF for the group affine state equation and linear measurement equation system. To consider various measurement equations including nonlinear equations, we modify the measurement update part by the previous researchers; our resulting filter maintains a high stability. We derive an IEKF for the estimation of the angle and position of a mobile robot as an application and verify the usefulness of our IEKF through simulation.
CLOUD TESTING TECHNIQUES AND CHALLENGES

Cloud computing not only changes the way of obtaining computing resources (such as computers, infrastructures, data storage, and application services), but also changes the way of managing and delivering computing services, technologies, and solutions. Cloud computing leads an opportunity in offering testing as a service (TaaS) for SaaS and clouds. Meanwhile, it causes new issues, challenges and needs in software testing, particular in testing clouds and cloud-based applications. To successfully provide cloud services and sharing of resources, the cloud must be tested before came into service. Cloud testing is a form of testing in which web applications uses cloud computing environment and infrastructure to simulate real world user traffic by using cloud technologies and solutions. Cloud computing has emerged as a new technology across organization and cooperates that impacts several different research fields, including software testing. To provide a cloud service and sharing resources successfully, the cloud must be tested before it comes into offering services. Testing the applications has their own testing tools and testing methodologies. Keywords —cloud testing, cloud-based software testing, testing cloud services, performance testing         and evaluation, and scalability testing.
Identification and Comparison of the Persuasive Elements Present in “Best Answers” to STD-Related Questions on Social Q&A Sites: Yahoo! Answers (United States) Versus Knowledge-iN (South Korea)

This study examines how consumer-selected best answers on online question-and-answer community platforms—referred to as social Q&A sites—in the United States and South Korea differ in their uses of persuasive elements, including message features and information sources. The best answers about sexually transmitted diseases on Yahoo! Answers in the United States and on Naver Knowledge-iN in South Korea were analyzed ( N = 600) according to consumer preferences. Regarding message features, best answers in South Korea were more likely to use numeric information, risk information, and optimistic information. Best answers in the United States were more likely to have higher readability than best answers in South Korea. Regarding message sources, expertise was more frequently presented in South Korean best answers, while references were used more in U.S. best answers. The study extends the discussion of consumers’ selection of best answers on social Q&A sites to message features and information sources as additional criteria in an international context.
FreeIPA Entity Management

In Chapter 24 , we had our first contact with FreeIPA. We even performed the basic operations of adding and deleting users. Now we’ll move on to more advanced topics. In this chapter we’ll cover the following concepts:
Word and number puzzles linked to higher cognitive function

Cognitive stimulation is often advised to delay or slow down dementia. An ongoing study is now trying to establish a clear link between doing puzzles and better cognitive function. Sarah Palmer sets out the objectives and results of the study.
Peningkatan kemampuan membaca pemahaman cerita menggunakan model pembelajaran examples non - examples dengan media visual pada peserta didik kelas IV sekolah dasar

Abstract. The purpose of this study is to improve reading comprehension by using learning models Examples Non - Examples with visual media. The form of this research is classroom action research and carried out in two cycles. The cycle consists of four steps, namely planning, action, observation, and reflection. The research subjects were homeroom teacher and fourth grade students. Data analysis technique is interactive analysis consisting of three components, namely data reduction, data display, and conclusion drawing. Data collection techniques used are documentation, observaation, interviews, tests. Data validity using data triangulation and technical triangulation. Based on the results of the study, it can be concluded that through the application of Examples Non - Examples with visual media can improve comprehension reading skills for IV students of SD N Bumi 01 Surakarta in the 2018/2019 academic year. Keywords : Examples Non-Examples Learning Model and visual media, reading comprehension ability of stories
Embedding constructural documentation in unit tests

Software projects capture information in artifacts that include production code, test suites, and documentation. Because different artifacts serve different purposes, the information they encode can be redundant. We present an approach to mitigate this redundancy by allowing developers to encode in unit tests information that is used to automatically generate documentation fragments. The result is a set of documentation fragments injected in the reference documentation of the methods under test. We implemented this approach in the form of an Eclipse plug-in. The ability to regenerate the documentation fragments allows documentation to be automatically updated when unit tests are modified. This approach is part of the larger idea of embedding information in source code through the use of meaningful constructs, a concept we termed constructural documentation. We report on a multi-case study that provides insights on the pertinence of constructural information in real world systems. This study highlighted several practices that favor or prevent embedding constructural information in tests, such as the use of standardized local variable names to encode recurring concerns of a test, thus acting as anchors for constructural documentation. Combined with the detailed description of a working tool, the study shows constructural documentation to be a promising way to increase automation in software documentation practices.%%%%L'exercice de programmation necessite de la part des developpeurs d'encoder beaucoup d'information. Cependant, il est commun dans des projets de developpement de logiciel de recoder cette information dans un format different pour documenter le code, dans l'interet des lecteurs humains. De plus, d'autres artefacts de code, comme les tests unitaires, requierent que les developpeur encode a nouveau la meme information dans un format different.Dans cette these, nous presentons une approche exploitant ce parallele entre l'information encodee dans les tests unitaires et la documentation, dans le but de generer automatiquement la documentation. Cette approche genere des fragments de documentation, inseres directement dans le code de production, dans les commentaires d'en-tete de chaque methode testee. La possibilite de regenerer facilement ces fragments de documentation lorsque les tests unitaires sont modifies permet a la documentation d'etre constamment mise a jour. Cette approche fait partie de l'idee plus generale d'integrer de l'information dans du code source grâce a des structures semantiques. Nous appelons ce concept « information constructurale ».Nous presentons une etude de cas ayant pour but d'evaluer la pertinence de l'information constructurale dans des systemes logiciels reels. Cette etude a permis de mettre en valeur certaines pratiques favorisant or entravant l'incorporation d'information constructurale dans les tests unitaires, comme l'utilisation de noms de variable generiques, plutot que specifiques au contexte du test, permettant ainsi d'encoder de facon constante les elements recurrents des…
Corrections to “Jutge.org: Characteristics and Experiences”

Presents corrections to author names in the paper, “Jutge.org: Characteristics and experiences,” IEEE Trans. Learn. Technol., vol. 11, no. 3, pp. 321–333, Jul.–Sep. 2018.
Leganto: The University of Minnesota Way, or, How to Remain Sane During Multiple System Implementations

Why limit your system implementations to just one at a time? Consider using the University of MInnesota method and implement three, or four, or five, systems all at once! Join our two presenters as they walk through the steps that led Minnesota to move forward on Leganto, LibGuides, Canvas integration, and automated course updates from the University’s new course system, all for the Spring 2019 semester. Find out how they and their colleagues survived multiple projects while still supporting the libraries multi-year student savings initiatives in course materials solutions. Learn what is in store for Minnesota during the Summer and Fall 2019 including full implementation for two other system campuses because why not! The presentation will continue at the bar afterwards; we’ll all need a drink by then (just kidding?).
GRADES-NDA 2019

GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, and open challenges in managing large-scale graph-shaped data. To summarize, GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs.
LibGuides: CSUL 2019: June 2019

Meeting information, agenda and meeting materials for the Council of State University Libraries.
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses.

There exists a vast number of adversarial attacks and defences for machine learning algorithms of various types which makes assessing the robustness of algorithms a daunting task. To make matters worse, there is an intrinsic bias in these adversarial algorithms. Here, we organise the problems faced: a) Model Dependence, b) Insufficient Evaluation, c) False Adversarial Samples, and d) Perturbation Dependent Results). Based on this, we propose a model agnostic dual quality assessment method, together with the concept of robustness levels to tackle them. We validate the dual quality assessment on state-of-the-art neural networks (WideResNet, ResNet, AllConv, DenseNet, NIN, LeNet and CapsNet) as well as adversarial defences for image classification problem. We further show that current networks and defences are vulnerable at all levels of robustness. The proposed robustness assessment reveals that depending on the metric used (i.e., $L_0$ or $L_\infty$), the robustness may vary significantly. Hence, the duality should be taken into account for a correct evaluation. Moreover, a mathematical derivation, as well as a counter-example, suggest that $L_1$ and $L_2$ metrics alone are not sufficient to avoid spurious adversarial samples. Interestingly, the threshold attack of the proposed assessment is a novel $L_\infty$ black-box adversarial method which requires even less perturbation than the One-Pixel Attack (only $12\%$ of One-Pixel Attack's amount of perturbation) to achieve similar results. Code is available at this http URL.
Accelerating Colorizer of Shaded Image for Autonomous Driving in Resource-Constrained SoC (poster)

Image-based convolutional neural network(CNN) algorithms are spreading across a variety of applications. In particular, an autonomous vehicle recognizes objects and the surrounding situation using the CNN models. CNN models for image classification are trained using clear image dataset, so they are not robust to grayscale images or noise-intensive data. Therefore, there is a risk of an accident because the quality of the input image drops rapidly during night driving. The region that is revealed by the headlight can have colors, but in the shaded area it has a brightness that is not enough to get color values. We intend to increase the safety of autonomous driving by coloring this region of interest(ROI).
Implementing local Indigenous subject headings at GVPL

Bio: Rachel Rogers is the Senior Librarian, Cataloguing and Digital Collections for Greater Victoria Public Library. Rachel recently returned to Victoria after 15 years as a music librarian in Toronto. She believes strongly in cataloguing as a customer service, and is happy to colour outside the lines if it means giving better access to her patrons.
Uncertainty in calibration and characterisation of pyranometers

This work quantifies the uncertainties of thermoelectric pyranometer measurements made with different calibration methods. Measurement campaigns supported both the evaluation of pyranometer calibrations and newly proposed approaches to characterise the pyranometers in indoor and outdoor conditions. Estimated uncertainties were then applied to a year-long irradiance dataset to evaluate the impact on the assessment of the annual solar irradiation. This study highlights the differences seen when calibrating pyranometers under different conditions and procedures. Such deeper insight of pyranometers response aims ultimately to assist the integration of short-term (pyranometers) and long-term (satellite-based) data to a more accurate evaluation of PV energy yield.
The artistic heritage of Ukrainian composers of the late XIX -early XX century: vocal and performance aspect

The purpose of the article is to explore the artistic and educational potential of the work of Ukrainian composers of the late XIX - early XX century D. Sichinsky, L. Revutsky, J. Barnic, P. Senitsy. The research methodology involves the use of historical, chronological, biographical approaches, as well as such research methods as analytical, comparative, art criticism, which made it possible to clarify the characteristic features of the vocal heritage of the above-named composers (reliance on the folklore basis, artistic content, the poetic and musical utterance), reproduce and juxtapose the main musical images and analyze their image o-emotional deployment. The scientific novelty of the work lies in the fact that for the first time the essence of the artistic and educational potential of the vocal heritage of Ukrainian composers of the late XIX - early XX centuries has been clarified. by structuring the genre-style palette of composers and highlighting the melodic nuances, polyphonic expressiveness, palm-tonal decisions and compliance with the laws of the unity of poetic and musical architectonics. Conclusions. The vocal heritage of Ukrainian composers of the late XIX - early XX century contains a great artistic and educational potential based on such characteristic features as: the depth and humanistic focus of the artistic content, the desire to deeply and truly recreate the literary text in music, the figurative unity of poetic and musical utterance; reproduction of national thinking in the creation of harmony, reliance on the folk basis; reproduction of the colorful range of feelings, emotional states of a person, their contrasting comparison.
A STRATEGY FOR EXPERT RECOMMENDATION FROM OPEN DATA AVAILABLE ON THE LATTES PLATFORM

With the increasing volume of data and users of curriculum systems, the difficulty of finding specialists is increasing.This work proposes an open data extraction methodology of the Lattes Platform curricula, a treatment for this data and investigates a Recommendation Agent approach based on deep neural networks with autoencoder.
LibGuides: Bowman Library Homepage: For Faculty

Menlo College Bowman Library serves the Menlo College community. How to add items to course reserves and schedule library instruction for your class.
Investigating the differences in Web browsing behaviour of Arabic (RTL) and English (LTR) users using mouse tracking

The internet has become the global information and communication source. With such widespread usage of the web, it is crucial to marketing businesses to understand how users behave on websites. Mouse movement in any area on a webpage is an indicator of user’s interest in that area. Previous studies using mouse or eye tracking show differences and similarities between website behaviours of Chinese and European users, whereas this study focuses on Arabic (RTL) and English (LTR) readers. This study can help businesses understand how users of different cultures navigate on web pages that are not designed for their way of reading. This paper presents an investigation in which Web browsing behaviour was examined with a help of a JavaScript Library developed by the authors. This comparative study tries to explore whether or not there exists any differences in expected layout between Arabic and English users using mouse tracking methodology.
Analysis of the Ways of Bilingual Teaching Reform under the Background of University Transition

Bilingual teaching is an important teaching method for local colleges and universities to cultivate professional application-oriented talents. Under the background of transformation, it is necessary for application-oriented colleges and universities to carry out bilingual teaching reform. This paper probes into the top-level design of bilingual teaching in local colleges and universities, the construction of curriculum system, the teaching staff, the adaptation of teaching materials and the evaluation system that affect the quality of bilingual teaching, and puts forward relevant countermeasures.