Reviewerly/exHarmony huggingface dataset:
Optimizing Information Leakage in Cloud Storage Services

Distributing facts for more than one cloud storage providers routinely offers customers with a certain degree of information leakage control, not for any point of assault can leak all the data. However, unplanned distribution of records chunks can cause hsigh data disclosure even while using more than one cloud. In this paper, we look at critical records leakage trouble resulting from unplanned facts distribution in multicloud storage services. Now we present StoreSim, a data leakage aware storage machine in multicloud. StoreSim ambition is to save syntactically similar records on the same cloud, which minimizes the consumer's facts leakage across various clouds. We layout an approximate set of rules to clearly generate similarity-maintaining signatures for facts chunks based totally on MinHash and Bloom filter, and additionally layout a characteristic to compute the statistics leakage primarily based on those signatures. Subsequently, we present an appropriate storage plan generation algorithm primarily based on clustering for dispensing records chunks with minimal statistics leakage throughout more than one cloud. Eventually, we evaluate our scheme for the use of two real datasets from Wikipedia and GitHub. We show that our scheme can minimize the data leakage by using up to 60% compared to unplanned placement. Furthermore, our analysis on system attackability describes that our scheme makes assaults on facts which are extra complicated.
Histopathologic Cancer Detection Based on Deep Multiple Instance Learning

Advances in imaging technology have led to a consistent improvement in image resolution. Histopathology image, one type of high-resolution image, can provide enormous information, which has a profound impact on the field of medical image analysis. However, the histopathology image is too complex to analyze. In this paper, deep multiple instance learning that integrates the deep convolutional neural network and the multiple instance learning is adopted to solve the histopathologic cancer detection problems. The experiments illustrate that deep multiple instance learning method can obtain a higher accuracy than other methods.
PERAN GURU TERHADAP MOTIVASI BELAJAR MATEMATIKA SISWA KELAS III SEKOLAH DASAR

This study aims to describe the various ways that teachers do to manage classes in improving motivation to learn mathematics in class III elementary school students. This study uses a qualitative approach with research subjects, namely teachers, students, and school principals. Data collection techniques in this study used observation, interviews, documentation, and questionnaires. Data analysis uses the component analysis of Miles and Huberman's interactive model (data reduction, data display, and conclusion drawing). The results showed that the classroom management at Sindangsari II Elementary School was done quite well, it was seen when, (1) the teacher, providing varied challenges, being flexible, emphasizing positive things, and instilling student discipline, (2) creating a climate effective learning by selecting class management styles (4) being good communicators includes speaking skills with good learning strategies (5) being able to use teaching media, and making classroom administration when wanting the learning process. Student learning motivation looks pretty good when seen in the spread of the questionnaire which shows that 66% almost never have the desire to succeed in learning, 57% almost never have the desire and enthusiasm for learning, 56% almost never have hopes and ideals in the future, 68% almost never give awards in the learning process, and 61% almost never have an environment conducive to learning well. In this case it seems that the teacher must encourage the students again so that students are able to increase their motivation to learn.
Object Detection through CNN with Deep Learning

Object detection from images and videos is the main point in the applications of artificial intelligence and computer vision like self-driving cars, robotics etc.In this paper, we have proposed a way to detect the objects in images and videos by a new pre-training strategy through convolutional neural network with deep learning.We are using the reLU, pooling and fully connected layer methods to increase the accuracy in detecting the objects and the number of detecting objects has increased.We have used coco database in which it has different types of object names with its threshold which are highly used for detecting the objects.We have used 3 different ways of input for detecting the objects which are images, videos and live camera.The algorithm used is regression.We have used YOLO v3 which uses the single neural network and divides the image into regions and predicts the objects.
Regeringsformens rättighetsskydd och rasistiska organisationer

The Swedish government has initiated an inquiry as to whether membership in a racist organisation could be prohibited by law. Such a prohibition would touch upon the freedom of association, the negative freedom of expression and the free formation of opinion as protected by the Swedish constitution.The aim of this study is to investigate the Swedish regulation of basic human freedoms and if a prohibition would be in accordance with the protection of the abovementioned rights and freedoms.The results of the study show that a prohibition could be allowed under certain circumstances as regards the freedom of association and the free formation of opinion, but that the negative freedom of expression poses a surprising obstacle.
The design of an artificial intelligence service assistant

Abstract In order to meet people’s requirement for smart-home and life assistant, this paper presents a design of artificial intelligence (AI) service assistant which adopts NAO robot and raspberry Pi. The design incorporates Python language with the technology of web crawler that realized the function of human-computer interaction of voice such as the weather and ticket inquiry, the infrared control of air-condition. The design can achieve expected results by verifying several functions experimentally in a laboratory, which can provide a powerful reference for the robot-assistant of smart-home, daily-service and related experimental projects.
LibGuides: COVID-19 Educational Resources for home use: Home/Contact us

These are curated resources for the School Librarian to utilize as they see fit. Site went live on March 23, 2020.
LibGuides: Student Services in Higher Education: Journals

This guide is for the NCU course Student Services in Higher Education. It contains resources available in the NCU Library.
LibGuides: Student Services in Higher Education: Specialized Databases

This guide is for the NCU course Student Services in Higher Education. It contains resources available in the NCU Library.
Securing the weak link of federated systems via trusted execution: a case study from the eHealth domain

The interconnection of organisations from distributed, heterogeneous, and autonomous domains having different regulations often requires a trusted third-party gateway to translate security means applied in one domain to those of a different domain. At that point, sensitive data is exposed unencrypted on the gateway host, thus vulnerable to attacks. In this paper, we provide a solution to this weakness of federated architectures by using hardware-assisted trusted computing (TC). We propose an approach where the new Intel's CPU extension, namely Software Guard eXtension (SGX), is exploited to guarantee the trustworthiness of the weakest link - i.e., the gateway - in spite of an aggressive attack model. The validation of our work was realised through the European eHealth infrastructure, namely OpenNCP, that enables cross-border health care and establishes shared practices to implement mechanisms and policies allowing patient data exchange between distinct national eHealth systems.
LibGuides: Fun Things to do: Wiggins Library Resources

Library staff share free and fun resources we have both in the library and that we've found around the web. Check them out!
Modelo CEK (Canvas + EAP + Kanban): Integração de Ferramentas de Gestão para transformar ideias em projetos colaborativos, ágeis, controláveis e efetivos

This chapter presents problems that historically impacted software development.The CEK Model, based on the approach of project management applied to software engineering through the integration of management tools like Canvas, Work Breakdown Structure, and Kanban, is proposed as one of the possible answers to software development problems.About the CEK Model, the management tools that compose it are described through a dense theoretical foundation.Following, we feature the dynamics of CEK operation, with the details of its application and present an example of its use, as a form of remain the knowledge and with the pretense of being a call to action, encouraging its application. Resumo
Teaching with Digital Tools and Apps

This eBook highlights the key steps and considerations for finding, evaluating, and teaching with digital tools and apps.
LibGuides: Expanded Access to Digital Content: Journals

As a response to the global COVID-19 pandemic, many of the Library’s content providers have expanded our access to digital content in order to support remote research, learning, and teaching.
LibGuides: COVID-19: Information and Resources: Preventative Measures

This guide contains information relating to the outbreak of COVID-19, a novel coronavirus that is believed to have emerged from Asia in late 2019. Information related to protecting yourself and your family from the Novel Coronavirus or COVID-19.
LibGuides: LIBRARY SERVICES DURING COVID-19: ONLINE FREE RESOURCES

Several organizations, companies, and resources will be available free of charge while the education system nationwide switches online. These resources will be limited free of access and are current as on Saturday, March 14, 2020.
UWM Libraries Research and Course Guides: Library Resources for Online Instruction: Off-campus Library Access

This guide contains information and useful no-cost/low-cost content into your online course to supplement instruction.
Feasibility study of GIS vibration testing and diagnosis method

Abstract In this paper, the feasibility of the fault diagnosis method based on the vibration signal in GIS is studied through the experiments of the correlation between the discharge fault and the vibration signal and the propagation characteristics of the vibration signal in GIS. The concept of pulse interval frequency is put forward. According to the experimental data, it is concluded that there is a strong correlation between the interval frequency of GIS discharge pulse and the frequency of vibration signal. At the same time, the vibration signal has regular propagation characteristics when passing through the basin insulator, cavity and T-shaped structure. The above two points strongly support the vibration test method can be used for fault diagnosis of GIS.
Extracting Features for Opinion Mining using Pointwise Mutual Information

Opinion mining has been developing rapidly in the past years mainly because of its huge set of applications and the scientific barriers it poses. The opinions of tourists are useful for the stakekolders and for public when making some decisions. Opinion Mining is a way to extract data through search engines, social networks and web blogs. The essential part in opinion mining is to analyze and retrierve the feedback of tourists to disover their opinions on different hotels. Now users can actively use IT to search others opinions based on tourism. This study proposes point wise mutual information for summarizing and extracting opinions denoted by tourists in tourism associated internet platforms. The pointwise mutual information is used to decide the semantic orientation of opinions by providing queries to a search engine where poor and excellent words have been considered as a boundary for negative and positive inference words. In this study the PointWise Mutual Information has been used to identify the adjectives and noun phrases related with the target. Retrieving opinions from user generated reviews regarding the perspectives specific to hotel services are helpful for both the clients who are viewing for accomodation and also hotels attempting to develop their services. The proposed system retrieves the hotel reviews from online and categorize them using opinion mining techique. This study explains the importance of opinion mining using pointwise mutual information in the growth of tourism.  This study focuses mainly on the opinions of travel behavior of tourists. The datasets collect reviews from the following cities namely Chicago, Beijing, New York, Dubai, San Francisco, London, New Delhi, Las Vegas and Shanghai.
JSTOR EBA (and DDA) at UNCG [Slides]

Slides from the presentation of the library portion of a JSTOR webinar held Thursday, February 28, 2019. Valerie Yaw, Assistant Marketing Director for JSTOR, started the session with What We've Learned from EBA. The second part of the session was JSTOR EBA (and DDA) at UNCG, posted here.
LibGuides: Murrow eLibrary: Free eBooks and Audiobooks

The digital hub of the Edward R. Murrow School Library for the purposes of remote learning for students.
중국어교과 교육과정과 교과서 비교 연구

This study compared the National Curriculum and analyzed the reflection of the four core competencies in the secondary school Chinese textbooks, and then checked the hierarchy and connectivity of the curriculum and the textbooks. As a result of the study, it is confirmed that some of the problems raised were improved. But despite these efforts, some of the contents seem to need improvement in response to situations that can be revised at any time.The boundary between the 2015 revised National Chinese Curriculum’s content system and achievement standards is ambiguous. For this reason, the hierarchy between the 2015 Chinese textbook of middle school and high school seems to be somewhat lacking. The 2015 Chinese textbook for secondary schools reduced the amount of learning to reduce learning burden. However, the composition of the textbooks is complicated and confronts the problem of learning the same contents repeatedly in middle school and high school Chinese class. If we can set different order of core competency in middle school Chinese textbooks and high school Chinese textbooks, we will be able to secure hierarchy and link between the curriculum and the textbook.
MENINGKATKAN KOMPETENSI PEDAGOGIK DENGAN PELAKSANAAN MICROTEACHING PADA MAHASISWA PGMI FAI UNIVERSITAS MUHAMMADIYAH SUMATERA BARAT

This study aims to describe: Efforts to improve pedagogical competence by conducting microteaching of PGMI FAI students of Muhammadiyah University of West Sumatra, (2) The Role of Microteaching Supporting Lecturers in improving pedagogical competencies of PGMI FAI students at Muhammadiyah University, West Sumatra. This research is a descriptive qualitative research. The subjects in this study were students of PGMI FAI Muhammadiyah University of West Sumatra in 2018/2019 who had conducted microteaching in improving pedagogical competence. Data collection techniques used were in-depth interviews, observation, and documentation. The validity of the data in this study is triangulation (triangulation of sources and triangulation of techniques) and observationality. Data analysis techniques applied were data reduction, data display, and data verification. The conclusions in this study are: (1) there are various activities carried out in the implementation of microteaching as an effort to improve pedagogical competence of PGMI FAI students at Muhammadiyah University, West Sumatra. The implementation of these activities provides increased pedagogical competence of students which includes the ability to manage learning, understanding of students, learning design, learning implementation, use of learning technology, evaluation of learning outcomes, and student development. (2) The Role of Microteaching Supporting Lecturers in improving pedagogical competencies of PGMI FAI students at Muhammadiyah University, West Sumatra. This role includes the role of lecturers as educators, instructors, mentors, trainers, and developers in the implementation of microteaching programs.Keywords: competence, pedagogy, microteaching
ASSESSMENT OF THE TYPES OF ACALCULIA AND DYSCALCULIA IN APHASIC PERSONS

Disorders occurring as a result of a stroke affect entire areas of the brain that are responsible for various functions one performs in his/her daily life, and with their occurrence one’s life changes completely. The communication needed for exchanging information in all aspects of life such as socialising, professional skills, motor skills and emotional state is severely affected. The aphasia as a language disorder manifests itself differently in each person and the damage it inflicts depends on the volume and area of brain damage, as well as on previous language and mathematical abilities. The percentage co-relation of aphasic people with acalculia/dyscalculia with disorders in the left hemisphere is from 16% to 28%. In this disorder, a significant decrease in the patients’ ability to cope with daily situations such as space orientation, clock recognition, basic money counting, etc. is observed, which, however, results in worsening of the quality of their life ((Pommerehne, Delboni, Fedosse, 2016 ).). A focal point with dyscalculia among adults is whether it is a result of a language disorder or cognitive one. After completing the tasks of the adapted EC301 test (Dellatolas, G., Deloche, G. and Salinas, D., 2001), in Bulgarian conditions disorders in the calculation processes were identified with all the 13 persons under investigation. 9 of them were diagnosed with dyscalculia: one was unable to distinguish written numbers and found it difficult to differentiate between optically close in their configuration numbers. Three persons suffered from impaired activity planning – arithmetic calculations consisting of a number of activities and requiring a succession of steps. Five persons were diagnosed with primary dyscalculia: their concept of ‘number’ was impaired (its place in a line of numbers etc.). The other four investigated patients suffered from acalculia-total inability to calculate. The EC301 Diagnostic Battery Tested in Bulgarian conditions is a reliable way of evaluating the type of acalculia/dyscalculia and supports the process of adequate therapy for patients with aphasia.
'Sorry, I didn't understand that' : A comparison of methods for intent classification for social robotics applications

An important feature in a social robot is the ability to understand natural language. One of the core components in a typical system for natural language understanding (NLU) is so called intent cla ...
Information Guides: Supporting Learning at Home: Boredom Busters

Resources for parents who wish to supplement their children's education during school holidays, breaks, or closure periods.
LibGuides: Computer Classes: About Classes

Dickinson Public Library offer free computer classes for patron in our community. Learn about what classes are offer at your library. Adult computer classes for adult patrons who wish to learn a new computer skill.
Research Guides & Tutorials: Art + Feminism Wikipedia Edit-a-Thon: Conflict of Interest Policy

This Guide provides users with information regarding the Sacramento State Art Department and University Library Art + Feminism Wikipedia Edit-a-thon event.
EOG based smart communication system

Locked-in syndrome (LIS), also known as pseudo coma, is a condition in which a patient is conscious but cannot move or communicate verbally due to complete paralysis of nearly all voluntary muscles in the body except for vertical and horizontal eye movements and blinking. This restricts patients from communicating. Eye movements can be used as alternative inputs for human-computer interface (HCI) systems such as virtual or augmented reality systems as well as new communication ways for patients with locked-in syndrome. The proposed project is a real-time electrooculogram (EOG)-based eye-pattern recognition system, with which patients can speak out predefined sentences with their volitional eye movements. For the “eye-speaking” recognition, the proposed system identifies the eye movement by setting threshold voltages of various eye patterns. On proper classification, control signals are generated which drives Arduino powered speaker.
PIPING AND BALLAST PUMP SELECTION FOR A TANK CARRIER SHIP

Pump is a device used to move a liquid from a lower place to a higher place by giving energy to the liquid to be moved. Generally the pump is driven by a motor, turbine, engine, or the like.PT Daya Radar Utama Unit 3 Lampung company engaged in ship production or shipbuilding. On ships there is a balancing system or commonly called a ballast system which aims to balance the ship when the load is empty or full. Balancing used is in the form of sea water which is input into the ballast tank. Therefore there is a selection of pumps to adjust to the ballast reservoir used in a ship so that the time needed to fill the tank can be according to the needs. On warships carrying steel tanks, it is known that the volume of the ballast tank is1300m 3 with a planned time of 5 hours.  From the tank volume data that has been known, the capacity of the planned ballast pump can be calculated the capacity obtained is260m 3 /h, the pipe diameter prediction value is suitable for use from the value of the ballast pump capacity of 8 and the total head value is obtained to meet the needs based on the image design of the balaas system which is planned to be valued at 27.43m. From these data, the ballast pump can be selected according to the need for filling the ballast tank for 5 hours by selecting the pump specifications according to the total discharge head obtained
LibGuides: Bullying/Elementary: Home

Fiction resources that teach about bullying in Kindergarten through 5th grade available to patrons of the Washington County, TN Public Library.
Blockchain’s Potential for Promoting Sustainability through Market-Based Schemes: An Analysis from the Brazilian and Mexican Regulatory Perspectives

This paper is one of four in a series that reviews the potential application of blockchain technology in market-based instruments to improve transparency and, consequently, sustainability in the energy value chain in several jurisdictions. The research in these four papers underpins “Blockchain for Governance of Sustainability Transparency in the Global Energy Value Chain” which can be found at:https://ssrn.com/abstract=3236753.In this paper, the author considers the legal and regulatory frameworks for Brazil and Mexico. From a regulation and policy perspective, the author explores challenges and possibilities for the use of blockchain technology for market based instruments for sustainability, specifically emissions trading, product labelling, green certificates and direct electricity trading.
LibGuides: Government Publications: Getting Started

Government Publications is a collection of materials put on deposit by the federal and state government for all citizens use free of charge and located on the Third Floor of the James E. Brooks Library. We encourage you to browse our collection whenever
LibGuides: Remote Research and Dance: Databases Through NYPL

This guide brings together the varied resources available to our patrons while conducting their research remotely. What Library databases can I access from home?
LibGuides: Expanded Access to Digital Content: Databases

As a response to the global COVID-19 pandemic, many of the Library’s content providers have expanded our access to digital content in order to support remote research, learning, and teaching.
LibGuides: Apparel Design and Couture - A Student's Guide: Finding Books

This LibGuide is a launching pad for research resources, class resources and for fun and general knowledge. The information found here will give you assistance to starting your research. It is designed for both undergraduate, graduate students, and anyo