Reviewerly/exHarmony huggingface dataset:
Estimation of Frequently Effected Diseases using Improved FP-Tree

The population of India is 1/5 th of the total world population. The country India is the second largest country in the population. The each and every state of India has different climatic situations. Based upon the climatic changes and many factors the diseases in India are growing day by day. The health of people in India is the major issue in now-a-days. There are so many inequalities between the states about the health. Health care system in India is mainly controlled or administrated by the respective state governments. To improve the health of the population in each and every state we require collecting the data from the state government and trends. The dataset consists of 30 states and union territory states except the Delhi. The experiment result shows the diseases which are mostly effect the people across the India. In this research we use the one of the data mining technique to produce the mostly effected diseases.
INDONESIAN FOLKLORE ANIMATION AS ENGLISH LEARNING MEDIA AND STUDENTS’ CHARACTER EDUCATION FOR PRIMARY SCHOOL

This paper focuses on an exploration of Indonesian folklore animation in English version as a medium for learning English as well as students’ character education. In the era of industrial revolution 4.0, the use of animation media as an alternative solution to the challenges of the times in integrating technological progress with learning process. This study used descriptive qualitative research methods to examine the Indonesian folklore in English version. The findings of the research are 1). Indonesian folklore animation is expected to be able to teach  English skills such as vocabulary, structure, listening skills, and speaking skills; 2) it is expected to be able to become a character education media for children in introducing the values of local wisdom. Indonesian folkore animation not only helps students in transferring folklore content that is of noble values but also they are expected to be able to obtain a more meaningful English learning process.
Confidence in Prediction: An Approach for Dynamic Weighted Ensemble

Combining classifiers in an ensemble is beneficial in achieving better prediction than using a single classifier. Furthermore, each classifier can be associated with a weight in the aggregation to boost the performance of the ensemble system. In this work, we propose a novel dynamic weighted ensemble method. Based on the observation that each classifier provides a different level of confidence in its prediction, we propose to encode the level of confidence of a classifier by associating with each classifier a credibility threshold, computed from the entire training set by minimizing the entropy loss function with the mini-batch gradient descent method. On each test sample, we measure the confidence of each classifier’s output and then compare it to the credibility threshold to determine whether a classifier should be attended in the aggregation. If the condition is satisfied, the confidence level and credibility threshold are used to compute the weight of contribution of the classifier in the aggregation. By this way, we are not only considering the presence but also the contribution of each classifier based on the confidence in its prediction on each test sample. The experiments conducted on a number of datasets show that the proposed method is better than some benchmark algorithms including a non-weighted ensemble method, two dynamic ensemble selection methods, and two Boosting methods.
Exploration of Think-Pair-Share Varieties of Reading Comprehension

The study was a classroom action research aimed to explore the phenomenon in each variety of the Think-Pair-Share (TPS) technique in reading comprehension, and to propose a TPS model in reading comprehension.Twentytwo learners in grade 12 (17-18 years old) were selected by purposive sampling method.The qualitative data collection included four lesson plans which were conducted to teach reading comprehension and the different patterns of the TPS technique were implemented in each lesson plan.Then, the learners studied with the adapted lesson plans.The teacher simultaneously observed and video recorded the class.This was to examine the phenomenon in each stage of the TPS technique.Lastly, the researcher noted the reflections immediately after class.The data collection was divided into four sessions, each session was implemented with a different pattern of the TPS technique.The findings revealed that the appropriate proposed TPS model in teaching reading comprehension was (1) The "Think" stage is for answering the pre-reading questions.This activity could promote the learners' individual thinking process.The appropriate time duration for this stage is ten minutes.(2) The "Pair" stage is for the learners to read the text, comprehend the text, and do the task in pairs.The appropriate pattern of pair dyadic was independent partner which means the learner chose their partner for themselves.This style of dyadic lead to high collaboration in each pair.(3) The appropriate method of sharing for the "Share" stage was answering the post-reading questions.It was not time-consuming; the teacher could examine all the learners' comprehension at the same time.The learners had a chance to get feedback and revise their ideas.
LibGuides: FREE EDUCATIONAL LINKS FOR ONLINE LEARNING AT HOME: Home

This is a list of educational (some formerly subscription) -based applications to do with children from K - 12 to help keep up with schooling at home.
Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation

Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the MAP estimator depends on the proposed model for noise-free wavelet coefficients. Thus in the wavelet based image denoising, selecting a proper model for wavelet coefficients is very important. In this paper, we model wavelet coefficients in each sub-band by heavy-tail distributions that are from scale mixture of normal distribution family. The parameters of distributions are estimated adaptively to model the correlation between the coefficient amplitudes, so the intra-scale dependency of wavelet coefficients is also considered. The denoising results confirm the effectiveness of the proposed method.
Unusual Solutions of Usual Problems

This chapter describes how certain problems that may be computationally solved on a Universal Turing Machine have a superior algorithmic solution in quantum computing. As examples, inter alia, we describe the Deutsch, the Deutsch–Jozsa, the Elitzur–Vaidman, and a few other algorithms. These problems and their related solution algorithms are easy to understand. They are also a convenient way of introducing certain frequently used computational steps in developing quantum algorithms, e.g., computing a function in parallel for multiple values of its argument.
LibGuides: Remote Support for Faculty, Staff, and Students: Free Digital Textbook Access

Keleher Learning Commons support and information for USM students studying remotely and faculty teaching remotely.
ANALISIS USER INTERFACE PADA WEBSITE STAINU PACITAN MENGGUNAKAN METODE EIGHT GOLDEN RULES

Analysis of the user interface on the Pacitan STAINU website is a study that aims to analyze an interface on the Pacitan STAINU website. The STAINU website itself is one of the information media for lecturers and students to provide all information related to campus academic activities. The analysis used in this study uses the Eight Golden Rules or 8 golden rule principles developed by Ben Shneiderman in order to test whether the user interface on the web is in accordance with the wishes of the user. The results of the analysis found that the average recipes stated good. This is obtained based on the results of data analysis on each variable, namely for consistency variables with a value of 147.5, Shortcut Variables with a value of 161, Feedback Variables with a value of 160.5, Closure Dialogue Variable with a value of 166.5, Simple Error Handling Variables with a value of 161, Resersible Action Variables with values 157, Put User In Control variable with value 161, Reduce Variable Short Term
Project-Based Learning, Process Writing, and Instagram: an Attempt to Enhance the Students’ Writing Skill

Abstract : This collaborative classroom action research was aimed to improve the students’ ability in writing hortatory exposition text. It involved 30 students of high school as the research subject. Writing test was the instrument used in this study to collect the data. The research findings indicate that the implementation of project-based learning combined with process writing and Instagram could improve the students’ writing achievement. The students can improve their average writing score which was higher than the minimum passing score. All of the students were able to increase their writing score by at least 10 points higher compared to which they gained in the initial test. In addition to that, 70% of the students could pass the minimum passing grade. Key Words : project-based learning, process writing, instagram, writing skill Abstrak : Penelitian tindakan kelas kolaboratif ini bertujuan untuk meningkatkan kemampuan siswa dalam menulis teks hortatory exposition. Penelitian ini melibatkan 30 siswa SMA sebagai subjek penelitian. Tes tulis adalah instrumen yang di gunakan untuk pengumpulan data. Hasil penelitian menunjukan penerapan pembelajaran berbasis proyek yang di kombinasikan dengan process writing dan Instagram mampu meningkatkan kemampuan siswa dalam menulis. Semua siswa mampu memperbaiki nilai individu mereka 10 poin lebih baik di bandingkan dengan nilai yang mereka dapat di test awal. Nilai rata-rata siswa juga meningkat di bandingkan dengan nilai yang mereka dapatkan di tes awal. Nilai rata-rata siswa melewati kriteria ketuntasan minimal. Selain itu, 70% siswa mampu mendapatkan nilai lebih baik atau sama dengan kriteria ketuntasan minimal. Kata kunci : pembelajaran berbasis proyek, proses menulis, instagram, keterampilan menulis
LibGuides: Reading Digital Content: Books

This guide will help you identify different types of information you are likely to find online
Optimalisasi Pemanfaatan Institusional Repository melalui Penerapan Upload Mandiri

Institutional Repository (IR) which contains local works of the academic community is an intellectual property owned by a tertiary institution. This intellectual work can be in the form of books, papers, scientific articles, research results, proceedings, theses, theses, dissertations and others produced by Lecturers, Librarians, Employees, and Students. Proper management and easy access must be a priority so that information dissemination and IR utilization can be optimized. One effort to optimize the use of IR is the existence of an independent upload program. With independent uploads, it is expected that IR collections will develop more dynamically in terms of quality and quantity because of the convenience of the visitors in publishing their thoughts. This simplicity is due to independent uploads not limited by space and time. Whenever and wherever, Pemustaka can upload independently easily because IR media is online. This study aims to find out what is meant by IR independent uploads, what are the menus and contents of metadata in eprint-based repositories, and the extent to which the effectiveness and efficiency of independent upload programs for intellectual works (Thesis, Thesis, Desertation, and scientific work) Civitas Academica of UIN Sunan Ampel in the development of Institutional Repositories.
O gerenciamento da informação nas etapas de prescrição e dispensação de medicamentos sob a ótica da gestão da informação no ciclo de vida das entidades.

The ability to efficiently manage information is critical in any process. And this factor becomes even more indispensable in the health area since errors have great potential to affect the lives of many people. Initially, this work aimed to understand the reality that involves the prescription and dispensation stages of medications and, subsequently, to be based on the elaboration of a restructuring proposal based on the Information Management in the Entity Life Cycle (IMELC) methodology. Interviews were conducted with some of the main parts involved in the medication system to assist in the understanding of concepts and organization of the research. During the work flowcharts were developed for comparison between the current model (As Is) and the proposed model (To Be), as well as summary frameworks, analyzing possible contributions and barriers resulting from the implementation of the new methodology. Moreover, a unified model of prescription has been built and has been validated with the support of doctors and pharmacists. The results indicate that the new approach is feasible in terms of greater therapeutic efficiency, standardization of prescriptions, readability of prescribed information, greater control in the usage of medications, among others.
Impacto de las competencias digitales en los docentes de básica secundaria

This article analyzes the impact that digital competencies in teachers of the public educational institutions have on the learning processes of secondary school students. Considering the role that teachers play in these processes, there is a necessity to determine the digital competencies of teachers and their level of appropriation by teachers who apply them in the teaching and learning processes of students. A qualitative methodology was used, and the selected sample consisted of teachers who teach the subject of Formation at the elementary and secondary levels at an institution in the town of Gualanday, Coello, Colombia. For data collection, a semi-structured interview and observation were used, and the information was codified and categorized in topics. The results show that the digital competencies improve productivity in the development of activities in the classroom, as well as communication and information management, which benefits the teaching and learning processes and the achievement of goals.
Omgivningens musikalitet : Fältinspelningens roll i skapandeprocessen hos tre nutida experimentella musikskapare

This essay examines how field recordings have been used in composition historically, and how three contemporary composers are using field recording as an element in their compositional practice. Wi ...
Sistem Informasi Akuntansi Pembayaran Pinjaman Kredit BPR ABC Medan

The development of technology especially computers and achieving competitive advantage, BPR ABC MEDAN requires a form of presentation of information and reports that can be accessed quickly, accurately and accurately to support decision making and improvement of better services to customers who make loans. The methodology used is Observation method is done by literature study, interview method, design method using Data Flow Diagrams (DFD), structure chart. The results of the study were poured into the Accounting Information System for Paying Loans for Rural Bank Credit ABC MEDAN. The use of computer-based applications is expected to provide convenience in data processing and making reports that can help BPR ABC MEDAN in analyzing and making decisions. Accounting Information System for Credit Loan Payments at BPR ABC which is designed to be a useful facility for companies in conducting their business and all parties related to the loan loan repayment process can also obtain reports quickly, accurately, and accurately in setting company policies.
Economic performance under populist leadership and liberal democracy (two decades overview)

Populism poses consequences to domestic and global economic growth as it has a strong tendency to destabilize established political and economic regimes through means of un-constitutional interventions or even implementation of economic policies based on exclu-sionary rhetoric, such as economic nationalism. While it is commonly agreed that populism brings adverse effects to globalization, it is still not quite clear whether populist leadership brings a positive or negative impact to the economic growth rate in the country level. This research paper regress the latent variable of economic performance against a set of ex-planatory variables, including the variable of populist leaders from 40 countries and their respective civil liberty score (as a proxy to liberal democracy) from 1998 to 2018. The re-gression results show that there are significant correlations between the economic growth rate and all of the explanatory variables presented in the main specification model in this paper. In the country level, the degree of civil liberty seems to have a significantly greater impact on the economic growth rate if compared to populist leadership.
Library Guides: Open Science Framework (OSF): Getting Started

OSF is an open source cloud-based project management platform that helps teams collaborate in one centralized location and provides file hosting, version control, persistent URLs, and DOI registration.
LibGuides: Reading Digital Content: Information Timeline

This guide will help you identify different types of information you are likely to find online
Open Access Electronic Journal Publishing: Opportunities at KU

This presentation was given at the University of Kansas Medical Center Research & Discovery Grand Rounds session held on January 10, 2020. The video recording of the presentation is available on YouTube at https://youtu.be/90oMqWBmD7M .
Towards automatic context-aware summarization of code entities

Software developers are working with different methods and classes and in order to understand those that perplex them and–or that are part of their tasks, they need to tackle with a huge amount of information. Therefore, providing developers with high-quality summaries of code entities can help them during their maintenance and evolution tasks.To provide useful information about the purpose of code entities, informal documentation (Stack Overflow) has been shown to be an important source of information that can be leveraged.In this study, we investigate bug reports as a type of informal documentation and we apply machine learning to produce summaries of code entities (methods and classes) in bug reports. In the proposed approach, code entities are extracted using a technique in a form of an island parser that we implemented to identify code in bug reports. Additionally, we applied machine learning to select a set of useful sentences that will be part of the code entities’ summaries. We have used logistic regression as our machine learning technique to rank sentences based on their importance. To this aim, a corpus of sentences is built based on the occurrence of code entities in the sentences belonging to bug reports containing the code entities in question. In the last step, summaries have been evaluated using surveys to estimate the quality of produced summaries.The results show that the automatically produced summaries can reduce time and effort to understand the usage of code entities. Specifically, the majority of participants found summaries extremely helpful to decrease the understanding time (43.5%) and the effort to understand the code entities (39.1%).In the future, summaries can be produced by using other informal documentation such as mailing lists or stack overflow, etc. Additionally, the approach can be applied in practical settings. Consequently, it can be used within an IDE such as Eclipse to assist developers during their software maintenance and evolution tasks.
Research Guides: Digital Publishing House: Positions Open

Library Publishing efforts at Wayne State University Open Positions in the Wayne State Libraries associated with the Publishing House
TTUHSC El Paso Library: BoardVitals: Create a Personal Account

Databank of test questions so you can prepare for the Boards. Getting started: Creating a BoardVitals Account
Classe techno "Bruit": Acoustic workshop for high school students at Université du Québec (ÉTS)

Classe Techno, is a science fair originating from the 24 heures des sciences (www.sciences24heures.com)provincial initiative, and has been organized annually or bi-annually since 2010 by the communicationservices from Ecole de technologie superieure (ETS), an engineering school part of the Universite duQuebec network. This event is designed for high school students coming from a variety of socioeconomicorigins in the greater Montreal area and is designed as a full-day workshop with relevantand interactive hands-on experience for students in upper middle grades (K-8 to K-11). As part ofthis event, the acoustic team of ETS offers a dedicated workshop animated by graduate students andresearchers within the well-equipped ICAR (icar.etsmtl.ca) acoustical research labs, on the topic ofNoise (Bruit in French). The Bruit workshop exposes the students to a variety of key-concepts andlab experiments about mechanical and sound waves, noise and music. The 60-minutes long workshopis structured around 3 main activities: a) What is sound? b) What makes sound musical? and c)When is it too loud? and exposes students to several experiments, ranging from the measurementof frequency and magnitude of mechanical waves, to interference of waves, to sound synthesis andFourier analysis using a sound card, to the assembly and calibration of a sound level meter and to theproper use of hearing protection devices. This paper presents the workshop structure and details each of the activities. It provides insights on what worked since day one in 2010, what has been improvedover the years and what could be done in the future.
Detection of Students’ Interest With the Logistics Model

The focus of this research is to analyze the model that classify student personality type based on demographic factors. This model can identify students’ career interests. It is important to know students’ career interest in accordance with their personalities. For the analysis method, the researchers applied multinomial logistics regression analysis with consideration to the nominal data scale of Holland personality types, namely realistic, investigative, artistic, social, enterprising, and conventional. Based on the results of the analysis, it can be observed that demographic factors significantly influence the Holland personality type at the error level 0.1 and the classification accuracy is 41.7%.
The Nigerian Pidgin English: A Tool for National Integration

The fact that Nigeria is a multilingual and multicultural speech community is no longer new. Hence, the need for a national language to foster national unity and peace has been a debate among linguistic scholars. Because of its diverse tongues, all indigenous languages (especially the big three - Hausa, Igbo and Yoruba) have been ruled out as possible solutions to Nigeria's national language problem. This paper therefore is concerned with providing sufficient facts that the Nigerian Pidgin English can contribute to the national development of Nigeria as a whole. Heedful of this, this paper adopts that the Nigerian Pidgin English is the possible language capable of providing common intelligibility among all based on the following evaluations - it is devoid of ethno political affiliation, it's grammar, syntax and phonology are purely Nigerian, it is the most proximate language among the low, middle and high class, it is being used in the media and even in literary texts. Conclusively, this paper suggests that the Nigerian Pidgin English holds the key to foster unity and national integration.
Library: Duplin Early College High School Guide to Resources: JSCC Makerspace

Introduction to resources and services provided by the JSCC Library Guide to resources and services available at the JSCC Library