Reviewerly/exHarmony huggingface dataset:
DIGITAL DOCUMENT SECURITY AND AUTHENTICITY: RECONNAISSANCE

In our country almost all kinds of educational certificates and government documents and certificates are issued in the physical paper form of documents. The security of documents is very important in any circumstances, as everything depends upon the authenticity and validity of the documents or certificates on the internet based platforms. The documents such as the statement of marks, certificates, licenses, authority letters and any kind of documents which has some importance in its lifecycle, therefore the security of the documents on an online platform is very crucial for its genuineness. Presently, there are various technologies available for ensuring security and authenticity of the digital documents and certificates such as cryptography, digital signatures with the online platform based on centralized server technologies. This paper discusses the concept of digital document management system for digital document storage and also presents a survey/comparative analysis on digital document managementsystems along with their application areas and functionalities, features, limitations and security aspects. It is proposed that there is a need to design a Blockchain technology based framework for the Digital Document Management System for educational documents and certificates storage and authentication.
플라이오메트릭 트레이닝이 무용수의 체력에 미치는 영향

This purpose of this study was analyze change the variation in dancer’s physical fitness and lower limb function by the three groups (plyometric training group, weigh training group and control group) for 60 minutes per one day, 3 times per week and total 12 weeks for modern dancers. First, plyometric training increased the muscle strength, flexibility, power, agility in side of physical fitness. Second, weight training increased the muscle strength, power, and agility in side of physical fitness Third, plyometric training group increased better than the weight training group in side of the muscle strength, agility, and muscle endurance. In conclusion, it is proved fact that the plyometric training group affected the development of physical fitness, lower limb muscle strength of the modern dancer. So, it could be estimated that plyometric training would protect the modern dancer’s damage and movement ability of their action. Therefore, plyometric training can be considered the effective program to improve the strength of modern dancer’s lower limb muscle strength and it should be provided with the collaboration of current study method to modern dancer.
LibGuides: DVDs in Education, Music and Media: DVDs in University Libraries

Tips for searching for DVDs, and lists of special interest DVDs An overview of the collections available in the Education, Music and Media area of Bracken Library, with search tips for accessing video content in OneSearch.
PENGUJIAN SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN BLACK BOX TESTING STUDI KASUS E-WISUDAWAN DI INSTITUT SAINS DAN TEKNOLOGI AL-KAMAL

System development has several stages including the analysis, planning, design and implementation stages. At the implementation stage, it is divided into two, namely testing and maintaining the system. Testing is the process of checking whether a system can be run in accordance with specified standards. In general, system testing can be classified into two, namely software testing techniques and software testing strategies. Software testing techniques are classified into two groups namely white box testing and black box testing, while software testing strategies are classified into three, namely unit testing, integration testing, and validation testing. In this research software testing techniques are applied using black box testing techniques, while software testing strategies are implemented using validation testing. Black box testing technique focuses on system behavior based on the functional requirements of the system, while validation testing is carried out to ensure the compatibility of the system with the design that has been applied. In validation testing, there are two tests conducted, namely alpha testing and beta testing. E-Wisuda Institut Sains dan Teknologi  Al-Kamal is a web based decision support system created to assist members of the senate in determining the best graduates, as well as being the best graduates at the graduation procession. E-Graduation decision support system test results state that the system has no syntax errors and functionally produces a system that is in accordance with user needs and the system can assist users in determining the best graduates and provide accurate results. Keyword : black box testing, software testing technique, software testing strategies
LibGuides: Covid-19 Information : John Hopkins University Covid-19 live tracking

This guide provides resources and information on the outbreak of coronavirus (COVID-19) from credible and reliable sources . Contents of this guide are regularly updated based on the World Health Organization information updates
WAB Learns: Student EdTech: J1T3: Activate NoodleTools

A guide to the most common questions and tools for students Activate and update NoodleTools for the new school year
Professional Development During a Pandemic: Transforming a Conference for Library Paraprofessionals

The annual, one-day Paraprofessional Conference is hosted, planned, and coordinated by East Carolina University’s Joyner Library. Since 2004, the conference has provided professional development opportunities geared to library staff from academic, school, and public libraries across North Carolina. Its unique focus on paraprofessionals has made the conference a consistent success over its 15 years in existence. In 2020, the COVID-19 pandemic complicated planning and logistics for the conference originally scheduled for early May. This article describes the efforts made by the Paraprofessional Conference Planning Committee to reimagine a face-to-face conference as a completely virtual synchronous experience. We will share our processes, practical lessons learned, successes, and shortcomings to support others who are interested in creating meaningful and engaging virtual conferences, whether by choice or necessity.
CLASSIFICATION METHODS ON SENTIMENT ANALYSIS OF TOURISTS ON AIRLINES IN TWITTER

Sentiment analysis is one of the knowledge to find the opinions of society towards a topic of discussion particular. Text mining is the science that many performed by individuals or companies to improve performance and fix complaints public against the services or brand trademarks that exist in the world of business. One of them is business flight or airline flights. One of them is public complaints against certain airlines posted on twitter. It is certainly going to greatly affect the airline 's own because , media social is one of the means of advertising and trade are extensive. Machine learning methods such as Logistics Regression, Kneighbors Classifier, Support Vector Classifier (SVC), Decision Tree Classifier, Random Forest Classifier, and Gaussian. Several classification methods are used to compare the performance of each method to see the best results.
基于阅读理解的汉越跨语言新闻事件要素抽取方法(News Events Element Extraction of Chinese-Vietnamese Cross-language Using Reading Comprehension)

“新闻事件要素抽取旨在抽取新闻文本中描述主题事件的事件要素,如时间、地点、人物和组织机构名等。传统的事件要素抽取方法在资源稀缺型语言上性能欠佳,且对长文本语义建模困难。对此,本文提出了基于阅读理解的汉越跨语言新闻事件要素抽取方法。该方法首先利用新闻长文本关键句检索模块过滤含噪声的句子。然后利用跨语言阅读理解模型将富资源语言知识迁移到越南语,提高越南语新闻事件要素抽取的性能。在自建的汉越双语新闻事件要素抽取数据集上的实验证明了本文方法的有效性。”
Research Guides: Psychology: Streaming video databases

Learn about Psychology resources and access peer-reviewed articles and individual Psychology journals, APA resources, and more. Access and learn about our streaming video resources.
Using Facial Features for the Estimation of Age of a Person

Age succession is normally indicated by human face structure, skin color and texture. The human facial attributes change with age succession of an individual. This manuscript enables a technique to appraise the exact age of humans by analyzing wrinkle arena of human facial images. Wrinkle arenas are detected and wrinkle attributes are extracted from human facial images. Based on the wrinkle attributes, each human facial image is clustered using c-means clustering procedure for classification. Then, approximated human facial age is determined using their clustering membership value and the average human age of each cluster. The obtained results are outstanding and awesome.
A drift homotopy implicit particle filter method for nonlinear filtering problems

&lt;p style='text-indent:20px;'&gt;In this paper, we develop a drift homotopy implicit particle filter method. The methodology of our approach is to adopt the concept of drift homotopy in the resampling procedure of the particle filter method for solving the nonlinear filtering problem, and we introduce an implicit particle filter method to improve the efficiency of the drift homotopy resampling procedure. Numerical experiments are carried out to demonstrate the effectiveness and efficiency of our drift homotopy implicit particle filter.&lt;/p&gt;
Zhongqiu Festival in Hwie Ing Kiong temple, Madiun

Abstract. This paper discusses about one of Chinese festival, namely Moon Cake Festival. This festival is celebrated by Chinese people in Madiun, East Java in Hwie Ing Kiong temple. At Hwie Ing Kiong temple the Zhong Qiu festival is still held as a form of maintaining Chinese culture, and inherit to their future generation. Through the ritual id dedicated to Mazupo, the sea guardian deity as a main deity in this temple and also to the moon deity, Chinese people in Madiun maintain the existence of this festival. The ritual is held in night after that people enjoy the moon cake outside the temple. The festival still exist up to now because it is well acculturated with local culture.
Attitudes of course participants towards evaluation at the training courses of pedagogical staff

The article demonstrates some of the results identified in a comprehensive study of the assessment process for certification of training courses. The study focuses on the attitude of the course participants towards the assessment, based on which recommendations were developed to improve the effectiveness of the assessment. Based on the views of the course participants who passed the assessment procedures, the impact and opportunities of assessment to improve learning outcomes are discussed. As part of the study, a Likert-scale survey questionnaire was taken from 2445 course participants who were assessed on training programs in different regions of the Republic of Kazakhstan from 2012 to 2020. According to the results of the survey, the explanatory statistical analysis showed that the majority of course participants experienced a positive effect of the assessment. Based on the parametric-correlation analysis, cognitive-action and emotional-motivational components were identified as factors influencing the attitude of course participants towards the assessment, and the issues of concern to the course participants in terms of the assessment process are explained.&#x0D; &#x0D; Keywords: Teacher training courses, certification, assessment, assessment tools, objectivity, cognitive-action, emotional-motivational
Sistem Informasi Pendidikan

An information system is a system within an organization that meets the needs of daily transaction processing that supports managerial organizational functions with the strategic activities of an organization to be able to provide certain external parties with the reports that are presented. In the world of education, information systems that are closely related are the use of information technology such as the internet which can help provide information to the public easily. There are two groups of approaches in defining a systems approach that applies to its components or elements. And the component approach defines the system as a collection of elements that can be relied upon to achieve a certain goal. The information environment consists of 3, namely: 1). Data, 2). Information, and 3). Knowledge. In the world of education, these three environments have covered everything. So the information system becomes very important to grow and develop the world of education. Because education does not only talk about the growth and development of students, but also has an important role in making it happen in helping to provide quality and effective education, capable of producing Indonesian human resources that are high quality, productive, creative, and have high competitive power with other nations.
Study Guides: Music & Sound Design: Plan Your Search

This guide will help Music & Sounds Design students find and evaluate key resources needed to successfully complete their assessments.
Event Argument Extraction using Causal Knowledge Structures.

Event Argument extraction refers to the task of extracting structured information from unstructured text for a particular event of interest. The existing works exhibit poor capabilities to extract causal event arguments like Reason and After Effects. Furthermore, most of the existing works model this task at a sentence level, restricting the context to a local scope. While it may be effective for short spans of text, for longer bodies of text such as news articles, it has often been observed that the arguments for an event do not necessarily occur in the same sentence as that containing an event trigger. To tackle the issue of argument scattering across sentences, the use of global context becomes imperative in this task. In our work, we propose an external knowledge aided approach to infuse document-level event information to aid the extraction of complex event arguments. We develop a causal network for our event-annotated dataset by extracting relevant event causal structures from ConceptNet and phrases from Wikipedia. We use the extracted event causal features in a bi-directional transformer encoder to effectively capture long-range inter-sentence dependencies. We report the effectiveness of our proposed approach through both qualitative and quantitative analysis. In this task, we establish our findings on an event annotated dataset in 5 Indian languages. This dataset adds further complexity to the task by labelling arguments of entity type (like Time, Place) as well as more complex argument types (like Reason, After-Effect). Our approach achieves state-of-the-art performance across all the five languages. Since our work does not rely on any language-specific features, it can be easily extended to other languages.
OCSVM-Based Novelty Detector on PLC as a Cyber Attack and Fault Application in SCADA System

The central goal of an Intrusion Detection System (IDS) is to find possible attacks or abnormal behaviors within a network or system. Industrial Control Systems or SCADA Systems are increasingly robust and sophisticated, allowing remotely observing and manipulating variables in PLC controllers. Moreover, information exchange and monitoring have been integrated through the internet employing IoT in recent years, thereby causing the possibility of cyber-attacks that can risk the system and even a country’s national security. Considering that the network’s behavior-based intrusion detection cannot expose the potential intrusion to the system, it is proposed to create an inferential model through supervised machine learning to look for abnormal behaviors within the industrial network. The model for IDS is built through the One-Class Support Vector Machine technique for a SCADA system of classification of boxes. The effect is examined utilizing the confusion matrix.
Setting Up Redux Toolkit and Dispatching an Asynchronous Action

In the previous chapter, we learned the concept of managing the state using Redux Toolkit. We discussed prop drilling in a React app and showed the pattern when writing Redux in React.
DesPat: Smartphone-Based Object Detection for Citizen Science and Urban Surveys

Abstract Data acquisition is a central task in research and one of the largest opportunities for citizen science. Especially in urban surveys investigating traffic and people flows, extensive manual labor is required, occasionally augmented by smartphones. We present DesPat, an app designed to turn a wide range of low-cost Android phones into a privacy-respecting camera-based pedestrian tracking tool to automatize data collection. This data can then be used to analyze pedestrian traffic patterns in general, and identify crowd hotspots and bottlenecks, which are particularly relevant in light of the recent COVID-19 pandemic. All image analysis is done locally on the device through a convolutional neural network, thereby avoiding any privacy concerns or legal issues regarding video surveillance. We show example heatmap visualizations from deployments of our prototype in urban areas and compare performance data for a variety of phones to discuss suitability of on-device object detection for our usecase of pedestrian data collection.
Decentralised navigation systems for bearing-based position and velocity estimation in tiered formations

This paper presents a novel decentralised navigation system based on bearing measurements for tiered vehicle formations. In the proposed framework, some vehicles have access to measurements of their own position, whereas others have access to bearing measurements to one or more neighbouring vehicles. Depth measurement may also be available. Local observers for the position and fluid velocity are designed based on the derivation of an equivalent observable linear time-varying system, thus yielding globally exponentially stable error dynamics. The local observers rely on local measurements, as well as limited communications between the vehicles. The stability of the system as a whole is analysed by studying the robustness of the local observers to exponentially decaying perturbations. Thorough Monte Carlo simulations are presented and discussed to compare the performance of the proposed solution with the extended Kalman filter, the unscented Kalman filter, and the Bayesian Cramér-Rao bound.
Applying Topological Data Analysis to Processing Eye Movement Recordings

A novel shape model of multi-scale topological features is proposed which considers those features relating to connected components and holes. This is achieved by considering the persistent homology of a pair of sublevel set functions corresponding to a pair of distance functions defined on the ambient space. The model is applicable to both single and multiple component shapes and, to the authors knowledge, is the first shape model to consider multi-scale topological features of multiple component shapes. It is demonstrated, both qualitatively and quantitatively, that the proposed model models useful multi-scale topological features and outperforms a commonly used benchmark models with respect to the task of multiple component shape retrieval.
Matching Patterns with Variables Under Hamming Distance.

A pattern $\alpha$ is a string of variables and terminal letters. We say that $\alpha$ matches a word $w$, consisting only of terminal letters, if $w$ can be obtained by replacing the variables of $\alpha$ by terminal words. The matching problem, i.e., deciding whether a given pattern matches a given word, was heavily investigated: it is NP-complete in general, but can be solved efficiently for classes of patterns with restricted structure. In this paper, we approach this problem in a generalized setting, by considering approximate pattern matching under Hamming distance. More precisely, we are interested in what is the minimum Hamming distance between $w$ and any word $u$ obtained by replacing the variables of $\alpha$ by terminal words. Firstly, we address the class of regular patterns (in which no variable occurs twice) and propose efficient algorithms for this problem, as well as matching conditional lower bounds. We show that the problem can still be solved efficiently if we allow repeated variables, but restrict the way the different variables can be interleaved according to a locality parameter. However, as soon as we allow a variable to occur more than once and its occurrences can be interleaved arbitrarily with those of other variables, even if none of them occurs more than once, the problem becomes intractable.
AN AN APPROACH TO HUMAN ACTIVITY CLUSTERING USING INERTIAL MEASUREMENT DATA

Automatic human activity recognition is regarded as an important task in security, military and police applications. This paper reports on a pilot study of an approach to human activity clustering using inertial measurement data. At the signal level, we particularly consider the angular velocity and instantaneous acceleration data obtained from a three-axis inertial measurement unit placed on the right arm of the human subject. At the methodology level, the approach consists of three components: symbol-based modeling of spatiotemporal signals, an adaptation of the Levenshtein distance, and a graph-based clustering algorithm. A prototype system implementing the proposed approach is evaluated on recordings of six human subjects involved in four task-oriented activities with significant intercluster similarity. The clustering results are assessed using the Rand index (RI=0.921), the precision rate (P=1), the recall rate (R=0.636), and the balanced F-measure (F=0.778).
Improving Students’ Speaking Skill Through Questioning Paper at Kampung Inggris Pare

Speaking  plays  an  important  role  in language  learning,  so  the students should master  the  speaking  skill  in order  to answer  the questions appropriately and efficiently. In this case teachers have to help students change their inefficient speaking habits (speaking word by word, focusing too much attention on form, and relying heavily on dictionary), by teaching them efficient speaking skills. A guided speaking  is an effective way to do  this;  in  this way  the  students can  learn  how  to  speak  in different purposes and situation. Questioning paper is written question on paper that has purpose for self-practice everywhere. It is an alternative way to improve their speaking skill. Questioning paper technique is the activities of students to guess and make conversation by using some questions provided. It can help and stimulate the students to make conversation. The researcher uses Classroom Action Research (CAR) as the approach of the research. Classroom Action Research (CAR) is systematic inquiry with the goal of informing practice in a particular situation. CAR is a way for instructors to discover what works best in their own classroom situation, thus allowing informed decisions about teaching. This classroom action research (CAR) was conducted in two cycles in which each cycle covered four stages of activities. They were as follows: (1) the planning of the action (2) implementing (3) class observing (4) reflecting on the action. In this research, the researcher finds the significant improvements in the first and second cycles. Furthermore, the researcher administered post test to measure the improvement of speaking skill by using questioning paper. The researcher has found the significant results that is 95 % of students earning above. Keywords: Speaking skill, Questioning paper