Reviewerly/exHarmony huggingface dataset:
Enhanced appearance-based finger detection and tracking using finite state machine control

Real-time finger detection and tracking systems have been growing rapidly in the past decade. Among those methods, Appearance-based and Model-based methods have produced excellent results. However, the occlusion issue is one of the main challenges in this field. In this study, we address this issue by considering the repeating-finite gestures of a guitar-strumming or a hand puppet and, represent using a Finite State Machine model. Also we proposed a novel finger pose tracking system using FSM Model combining with the appearance-based method.. The proposed system consists of two parts: FSM-FT builder creates the FSM hand, and the FSM-FT runner controls the FSM-FT system. Empirically, we conducted an experimental study involving one sample repeating hand gesture and our approach achieved a significance recognition rate of 82% in the testing phase.
DEVELOPMENT OF INTERCULTURAL EDUCATION COMPETENCIES IN TEACHERS

Intercultural education constitutes an integral part of the education system reform currently being undertaken in our country. This paper shall indicate the competencies thatteachers are required to develop to successfullyimplement the concept of intercultural education. Special attention shall be paid to analyzing key elements that initial trainingfor intercultural education at Teachers´ Training Faculties should comprise, bearing in mind that developing intercultural competencies in teachers constitute the basis for developing such competencies in students. Apart from providing them with a high-quality initial education, to develop the required competencies in teachers one also needs to furnish them with continuing professional development. The paper shall emphasize the importance of developing specific teaching competencies, and it shall point to various assumptions regarding successful teaching activities aiming at the development of intercultural education.
Implementasi Metode Dempster-Shafer Pada Sistem Pakar Diagnosa Penyakit Tumor Mediastinum Pada Manusia Berbasis Web

Artificial intelligence (Artificial Intelligence) is a system that adopts knowledge from experts into an expert system, so that the computer can do as it is done by experts (experts) who act and can assist in providing solutions and making knowledge-based decisions appropriately. Expert systems are computer-based systems that use knowledge, facts, and reasoning techniques in solving problems, and usually can only be solved by an expert in a particular field. The expert system adds value to technology to help doctors diagnose diseases and provide information about the types of diseases, as well as general symptoms of mediastinal tumors.Mediastinum tumors are tumors found in the mediastinum, namely the imaginary cavity between the left and right lungs, the mediastinum contains the heart, large blood vessels, trachea, thymus, lymph nodes and connective tissue. The mediastinum is an important part of the thorax which is located between the pleuralist cavita and contains many important organs and vital structures. The mediastinum is divided into 4 chambers, namely anterior (front), middle, and posterior (back) superior and medial. Implementing the dempster-shafer method in the expert system it aims to diagnose web-based mediastinal tumor in humans based on the symptoms of mediastinal tumor. From the results of this study, it can be concluded that the expert system of diagnosing mediastinal tumors in humans is expected to help doctors (experts) in providing accurate and accurate diagnosis, so that patients know what disease they are suffering from.
Slitheen++: Stealth TLS-based Decoy Routing.

We present Slitheen++, a decoy routing system that---in contrast to its predecessor Slitheen---is not susceptible to traffic analysis in the upstream channel. Slitheen++ overcomes key challenges such as scheduling for covert connections and technologies to more realistically emulate a real user's behavior, such as crawling or delaying overt communication. We measure Slitheen++ according to metrics that not only show the maximum theoretical throughput of the system, but for the first time, also assess the actual user experience by measuring loading times of websites from ten covert targets. We show that emulating a user increases loading times, yet raises the difficulty for an advanced censor to expose decoy routing as such. For example, crawling raises the median of the loading time for covert setups by 1 second from 7s to 8s.
LibGuides: English Composition / First Year Writing: Home

A research guide for students in first year writing classes (ENGL 1005A/B,10010, 1050, 2030)
A SECURE CLOUD-BASED EHR FRAMEWORK FOR THE SECURITY AND PRIVACY OF MEDICAL DATAUSING HIERARCHICAL CP-ABE

The growing technological world health care industries are moving towards adaptation ofsoftware development and cloud storage. The rapid growth and high demand are the two important factors forcloud-based Electronic Healthcare records. In this paper, we propose flexible, reliable, secure and low-costprivacy preserved cloud environment for healthcare industries. The cloud-based EHR framework is used fordata security, privacy of patient date, accessibility and overall performance. Hierarchical Cipher text Policy ÂAttribute Based Encryption method is proposed for encrypting healthcare information and stored in cloud. Thispaper provides Hierarchical CP-ABE based Cloud EHR framework model. The proposed framework will giveseffective decision making and analyze existing records of users. The paper motivates and explains cipher textpolicies and attribute based authentication method for analyzing healthcare data and experiments are done foreffective implementation of cloud based EHR framework.
Brooks Law and the didactic deficit in the workshop method

It is argued that in the workshop-method, there 's a neurotypic bias with regard to underestimating the complexity of communication and overestimating the power of collaboration at every small step.
CROSS-BORDER EDUCATION AND ONLINE EDUCATION: THE NIGERIAN EXPERIENCE

All societies, beginning from ancient times to contemporary times, are knowledge societies although there is a progression in the field of science and technology, civil society and social institutions with the passage of time. The knowledge economy occupies a central position in the 21st century, and as a result of this, higher education has assumed unprecedented importance within nations and also in international circles largely as a result of the indispensable role it plays in educating people for the new economy and in creating new knowledge. The emergence of the knowledge economy and the resultant demand for skills have compelled an expansion of higher education in all countries, encouraged skill migration from developing to developed countries, and ultimately promoted cross-border education. This paper discusses cross-border education within the ambits of internationalisation and globalisation, and goes further to situate higher education across borders as a tradable service covered within the scope of the General Agreement on Trade and Services (GATS). Nigeria has a long history of internationalization of higher education dating back to pre-independence era when many of the nationalists studied overseas. Under globalization, cross-border higher education has undergone a major transformation due largely to technologically sophisticated methods of delivery and a dominant profitdriven motive. This has led to the emergence of new forms of programme delivery such as branch campuses, franchises and distance education. The open and distance-learning systems have widened the scope for expanding higher education. Some inadvertent issues of cross-border education in Nigeria addressed in this paper include the internationalisation of academic relations; widening the gap created by inequality; cultural diversity; acculturation and capacity building; and brain drain/gain. Finally, some challenges which have punctured the capacity of Nigerian universities in competing favourably for the influx of foreign academics and students were examined with workable recommendations offered.
PROFESSIONAL BURNOUT OF TEACHERS

The article reveals the essence and structure of burnout, describes the subjective and objective stressors, symptoms and stages of teachers' burnout, explores ways to prevent the negative effects of emotional burnout.Burnout is one of the most common reasons that teachers are leaving their profession, and it contributes to the increased teacher turnover rate in the past few decades.Teacher burnout is an extreme form of chronic stress that can affect any educator, regardless of how experienced or passionate they are about their jobs.It is hypothesized that prevention of teachers burnout should be based on the idea of psychological means as determined by socio-cultural formative influences of psychotechnical tools.The essence of the burnout syndrome as been revealed as well as modern psychological studies of this phenomenon in teachers.
Editorial IETI 57/4

The COVID 19 pandemic has caused great uncertainty about what the ‘new normal’ may look like. It has already transformed Higher Education and its delivery, and has had huge impacts on the globe’s e...
SALIENCY OF SUBTLE ENTITIES WITHIN 3-D POINT CLOUDS

Abstract. Visual saliency is defined by regions of the scene that stand out from their neighbors and attract immediate attention. In image processing, visual saliency is frequently used to focus local analysis of key features. Though their advantage is largely acknowledged, little research has been carried concerning 3-D data, and even less in relation to data acquired by laser scanners for mapping. In this paper, we propose a new saliency measure for laser scanned point-clouds, governed by the neurological concepts of center-surround and low-level features. Adjusted to large point sets, we propose a fast geometric descriptor, which quantifies the distance of a point from its surrounding. We show that the proposed model highlights not only salient details in watertight models, but also in airborne and terrestrially scanned scenes that may hold subtle entities embedded within the topography. The detection of such regions paves the way to a myriad of applications, such as feature and pattern extraction, registration, classification, viewpoint selection, point-cloud simplification, landmark detection, etc.
Supplementary material to &amp;quot;Remote monitoring of seismic swarms and the August 2016 seismic crisis of Brava, Cape Verde, using array methods&amp;quot;

S1 Array configuration and array transfer functionFigure S1: Left: configuration of the array which was operated from October 2015 to December 2016.Green circles: diameter of 700 m and 350 m.Triangles: short period 4.5-Hz geophone stations.Right: resulting array transfer function for signals with a frequency of 7.5 Hz.Red circles: apparent velocities of 3 km/s and 6 km/s which represent the range of expected apparent velocities of incoming wavefronts from local events S2 Network configuration of the follow-up study from Jan. 2017 -Jan.2018 Figure S2: Station setup of the main study from
Development and Validation of Specific Chemistry Teaching Mode for Environmental Sustainability

The importance of improving the quality of learning in schools is more and more recognized.Now day Green Chemistry is recommended in teaching chemistry as an effort to foster students' caring attitudes towards the environment.On the other hand, improving teaching quality through a lesson study has been done a lot.This paper contributes a solution to the problem of improving the quality of chemistry teaching that fosters students' caring attitudes towards the environment.The integration of the principles of green chemistry through the application of the principles of Lesson Study learning community that allows the principles of green chemistry to be understood and applied by students in their daily lives results in a Teaching model called Green Chemistry Learning Comprehensive by Collaborative and Collegialities (GCLC2C) that has been developed and validated.
Research Guides: College in the Schools Guide: Home

Bring together links and resources for library and research support for College in the Schools (CIS) students and teachers.
Gamification and virtual reality in the treatment of phobias and fear of public speaking

The development and use of immersive/XR technologies in healthcare is growing fast throughout the world. With the domain still in its infancy, the potential for creating innovative contents & a ...
Video Retrieval Using Query Images and CNN Features

We address the problem of image-to-video face retrieval. Given a query image of a person, the aim is to retrieve videos of that same person. The methods proposed so far are based on hand-crafted features. In this work we investigate the use of an off-the-shelf object detection network as a feature extractor by building an image-to-video face retrieval pipeline composed of an offline feature extractor and online filtering and re-ranking steps that use the object proposals learned by a Region Proposal Network (RPN) and their associated representations taken from a CNN. Moreover we study the relevance of features from a fine-tuned network. In addition to that we explore the use of face detection before extracting the features and we test the impact of different similarity metrics. The results obtained are promising.
Students’ Paraphrasing in the Literature Review Section of Research Proposal

The objective of this qualitative study is to investigate the students’ paraphrasing in the literature review section of research proposal. Six English Department students, Universitas Negeri Gorontalo were selected as the respondents. The study reveals that the paraphrasing of three students falls under a moderate revision category, and the other three are in the category of near copy. Such a result is based on the results of the students’ paraphrasing and their understanding of the concepts of effective paraphrasing, namely comprehension of good paraphrasing, analytic reading skills and its correlation in applying paraphrasing strategies, and citation mechanics. On that ground, the study suggests that improving students’ concept of paraphrasing in reviewing the literature is a necessity. Related stakeholders are urged to help the students understand the idea of quality paraphrasing. Further research about paraphrasing to investigate other relevant issues and other textual borrowing mechanics is essential.
LibGuides: Remote Library Services for Online Learning: Visiting

This guide offers links and answers questions for the online learning shift taking place in response to the COVID-19 outbreak.
Subject and Course Guides: Beginning Your Research in English (Fall 2020): Research How-to & Getting Started

A guide to beginning your research in English using only electronic resources, with physical material access shut down in 2020.
IMPLEMENTASI METODE FUZZY TIME SERIES DENGAN MODEL ALGORITMA CHEN UNTUK MEMPREDIKSI HARGA EMAS

Gold is one of the people's preferred forms of investment and is considered the safest (save -heaven). Gold risk which is considered small is the main attraction because in general Indonesian people are not yet familiar with capital market investments such as stocks and mutual funds. But the price of gold is very volatile as for the factors that affect the fluctuations of gold are consumption demand, volatility and market uncertainty, protection of low-interest rates, and the US dollar. Predicting the movement of the gold price and knowing where the direction of the exchange rate moves and determining the price of gold up or down cannot be done accurately and consistently. For this reason, in reducing the risk of loss, an application is needed to predict gold prices using the Fuzzy Time Series Chen algorithm using MATLAB software. In this study to obtain prediction results and comparison charts using actual data and prediction data for the 2015-2017 gold price. From the calculation results obtained by the prediction results with the Fuzzy Time Series method with the Chen algorithm where the average difference between the actual data and prediction data is not more than Rp. 2,850, - where predictions using the Fuzzy Time Series method Chen's algorithm is sufficient to use 1 data to predict the second data which makes this method accurate in predicting the price of gold.
PENGEMBANGAN SISTEM INFORMASI MANAGEMEN MASJID UNTUK PENGURUS MASJID SE-BANJARMASIN UTARA

The mosque is a center for education, teaching, and development of science, a community information center, acenter for the collection and distribution of zakat, infaq, and shodaqoh. Observation results indicate that 80% ofmosques in the North Banjarmasin city have a conventional management and information delivery (not displayedtransparently using information systems). The objective of the study is to facilitating the mosque administrator inmanaging and delivery information about the mosque using the mosque management information system. Theresults of this study showed that the proposed mosque management information system had a 100% informationsystems success in terms of security, content, accuracy and format of the management information system. Thelowest percentage of information systems success is 82% in terms of system quality at ease of use.Keyword: Management, MIS, Mosque.
BILINGUALISM, IT IS A POWERING IN YOUNG LEARNERS IN PEMATANG SIANTRA TROUGH TEACHING AND LEARNING PROCESS

Learning a language is influenced by a variety of factors. Learning English is important to children that will help them in achieving their full potential in the future. If they have the right techniques, they can learn English quickly and effectively. Applying a good technique is important that they have to learn English which is by practicing and using the language fluently. Learning must not be stressful for the children. The process should be simulating with a interesting technique by the teacher. So, their studies should make reading, listening, and speaking in English practice naturally. As a confidence to develops, the children can learn more and speak English improve their English. This paper will discusses about the way to teach the young learners in Pematang Siantar. These are purposed for children to be able to learn English effectively with the fun situation and variety program that children need in practicing a language. At the last, this paper discuss about how to guarantee the children learning English by using a simple techniques that can absolutely make the teachers’ responsibility in teaching more fun and satisfying in the result of student, and the teaching process will be expected that the teachers will have an idea to be the most inspiring teachers that possibly can applying in teaching and learning process
The Effectiveness Of Application Of Mind Mapping Learning Models On The Problems Of The Story Viewed From The Mathematic Communication Ability Of Vocational School Student

This article presents research on the effectiveness of learning using mind mapping learning models and experimental research methods with a pre-experimental design: one-shot case study design using purposive sampling, for vocational students of class XI in the academic year 2019/2020 on mathematical questions in the form of story questions. the purpose of this study is to describe the effectiveness of students' mathematical communication skills using mind mapping learning models, obtain a number of student problems in the process of communicating the form of mathematical problem problems with the form of story problems. Based on the analysis of the data obtained by the results of research at the destination school shows that the percentage of students who have good mathematical communication skills of students is less than 70%. Thus in the form of story questions, mind mapping learning models are not effective in terms of students' mathematical communication skills
A Study on Statistical Recurrence of Some Distinguishing Features of Handwritings and Signatures

A hundred of different cases with questioned handwritings and signatures of a hundred different individuals written on the time interval from one year to sixty-one years were studied and the twenty five distinguishing characteristics were found to recur in different extents. A total of 764 points were noted with average of 7 to 8 points per case and statistics of recurrence of the same characteristics was built up so as to explain the most recurring and least recurring characteristics of the writings and signatures that resembled to assert the common origin even after the long interval of time. Amidst the variables, the 'design of letters and specific patterns' was found to be the most recurring whereas 'tie formation' and 'position, shape and size of dot (.)' were found to be the least.
Summer heat returns this weekend, temps will likely be warmer than average in mid-August

Dew points will jump back to the low 70s by Sunday, Aug. 9, bring us back to muggy conditions through the start of next week.
Detection and correction of database schema integrity violation based on initialization scripts

We present a new methodology for detecting and correcting database schema integrity violations. This technique uses initialization scripts, their pre-processing to compare with the current database schema. The result of the work is a prototype of the software product.
Estimation of Solar Energy Potential Using Sunshine-Based Model for Busa-Baso Kebele, Dirashe Woreda, Ethiopia

The purpose of this study was focused on estimation of solar photovoltaic power systems in Busa Baso, Dirashe Woreda, Ethiopia. Solar&nbsp;photovoltaics&nbsp;are being promoted to replace fuel-based lighting and off-grid electrical needs. It was conducted to assess and evaluate the data collections which were administered on selected site. The data collected were analyzed using descriptive survey. The radiation had to be predicted from sunshine hours by employing empirical models. Using data from National Aeronautics and Space Administration (NASA), linear monthly average solar radiation has been developed. The paper presents an estimation of the solar energy resource based on the primary data taken between January 2019 and December 2019.
INFERENCING FAKE WORDS’ MEANING BY MOROCCAN EFL LEARNERS

Do Moroccan EFL learners depend on the context to infer the meaning of unknown words occurring in sentences? This study investigates the way intermediate and advanced learners infer the meaning of fake words. To this end, the subjects took a test consisting of 60 items with three multiple choices. Subjects were asked to provide appropriate, inappropriate meanings of the unknown word or none of the choices without using dictionaries. The Chi-2 tests were adopted to determine whether there is a) a statistically significant difference between the three categories and b) a statistically significant difference between intermediate and advanced learners’ inferencing results. The findings demonstrate that the context along with the lexical knowledge of the L2 learners play the most important role in understanding vocabulary.