Reviewerly/exHarmony huggingface dataset:
La e-Evaluación, una practica innovadora para la mejora del proceso de enseñanza aprendizaje de las matemáticas: una experiencia en trigonometría.

ABSTRACT: The e-Evaluation should be an extremely important practice for teachers in the area of mathematics, because, in this area, students tend to show little interest, little motivation, but above all, they do not find meaning in what is being transmitted in The classroom. Therefore, the main objective of this research is to promote student learning in the area of mathematics, specifically in the subject of trigonometry. For this, part of the e-Evaluation as a central axis in the teaching-learning processes.To carry out this research, a quantitative approach was used, using the quasi-experimental method. For this, two groups were formed; one of control (where formal evaluation practices were used) and one of intervention (where implementation was carried out, that is, non-formal evaluation practices). With respect to formal evaluation practices, the data collection instruments were traditional examinations and, with respect to non-formal evaluation practices, technological tools were used, which were; Kahoot, Plickers and Nearpood. A likert-type survey was also used to assess the degree of satisfaction students presented with these tools.As conclusions, it was found that the e-Evaluation manages to energize the learning tasks within the classroom. Similarly, it is very interesting and motivating to work with technological tools as means of evaluation, both for students and for teachers. Finally, there is an improvement in student learning in trigonometry knowledge.
Health Analysis in Artificial Intelligence

A field of science and engineering concerned about the computational comprehension of what commonly called intelligent behaviour and with the creation of artifacts that exhibit such behaviour is known as Artificial intelligence. It is the one of the important field of computer science.AI has recently exceed human performance in several domains, and there is great hope in heatlcare.AI may allow for detection, diagnosis, better prevention and treatment disease. Many tools used in many disease like cancer, neurology, cardiology, diabetes are implemented by using AI. This research paper include current status of AI application in healthcare.AI can also be used to self-regulating spot problems and threats to patient safety, such as poor care of outbreaks of hospital- acquired illness with high accuracy and speed . This analysis will also explore how AI machine learning can save lives by helping individual patients. A few ongoing research of AI application in healthcare that provide a view of a future where healthcare delivery is more unified, humman experiences.
LibGuides: Online Training Resources for Faculty/Staff: Computer Software

Compilation of many of the online training sessions available while we are away from campus. Some sessions will be more applicable for library employees, many will be applicable for everyone
Embracing and Celebrating Multicultural Education for Peace Building in Nigeria

Multiculturalism is the appreciation, acceptance or promotion of multiple cultures, applied to the demographic make-up of a specific place, usually at the organizational level, such as schools, businesses, neighborhoods, cities or nations. In a political context, multiculturalism is the advocacy of extending equitable status to distinct ethnic and religious groups without promoting any specific value as central. Multicultural education will teach people from different cultural backgrounds to accommodate one another for peaceful co-existence. Peace building which has been described as “sowing of peace” is a process of restoring normal relationship between people. Multicultural teaching will therefore give way to easy interaction between different ethnic groups with different cultural background in Nigeria. This paper examined the concept of multicultural education and peace building, discussed effective multicultural teaching in the Nigerian school system and described how to embrace and celebrate multiculturalism for peace building in the society. It recommended that multicultural education should be introduced in the Nigerian school system in order to enhance cultural integration.
A Study on Life Course Analysis and Daily Life Experience of the Elderly Living in Social Isolation

The significance of this study is to suggest basic data for political and practical measures to prepare for a super-aged society by understanding the daily life and welfare needs through analysis of the life course of socially isolated elderly.The subjects of this study were eight elderly people aged 65 years or older.This is a qualitative study with in-depth interview analysis of socially isolated processes and daily life experiences whose purpose is to explore the elderly welfare policy and the social service plan through the voices of the elderly isolated in blind spots.The experience of the elderly living alone and socially isolated revealed the following research results.First, isolated elderly people were analyzed according state of socially isolated life course and physical disease.Second, they were experiencing social isolation due to difficulties such as lack of communication with family members and relatives, solitude, and loneliness.Therefore, it is necessary to expand national medical and financial support to the isolated elderly, reorganize the road-map of community support systems for the isolated elderly, establish social networks for social connection, and enact convergent measures of an elderly friendly community infrastructure system.
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models

Despite the ubiquity of kernel-based clustering, surprisingly few statistical guarantees exist beyond settings that consider strong structural assumptions on the data generation process. In this work, we take a step towards bridging this gap by studying the statistical performance of kernel-based clustering algorithms under non-parametric mixture models. We provide necessary and sufficient separability conditions under which these algorithms can consistently recover the underlying true clustering. Our analysis provides guarantees for kernel clustering approaches without structural assumptions on the form of the component distributions. Additionally, we establish a key equivalence between kernel-based data-clustering and kernel density-based clustering. This enables us to provide consistency guarantees for kernel-based estimators of non-parametric mixture models. Along with theoretical implications, this connection could have practical implications, including in the systematic choice of the bandwidth of the Gaussian kernel in the context of clustering.
Optimizing Regularized Multiple Linear Regression Using Hyperparameter Tuning for Crime Rate Performance Prediction

Multiple Linear Regression is a well-known technique used to experimentally investigate the relationship between one dependent variable and multiple independent variables. However, fitting this model has problems, for example when the sample size is large. Consequently, the results of traditional methods to estimate the model can be misleading. So, there have been proposed regularization or shrinkage techniques to estimate the model in this case. In this work, we have proposed a methodology to build a crime rate performance prediction model using multiple linear regression methods with regularization. Our methodology consists of three major steps: i) analyzing and preprocessing the dataset; ii) optimizing the model using k-fold cross-validation and hyperparameter tuning; iii) comparing the performance of different models using accuracy metrics. The obtained results show that the model built using lasso regression, outperforms the other constructed models.
A Research Paper on Dark Web

The Internet as a whole is a network of numerous computer networks and their vast infrastructure. The network is made up of open websites using search engines such as Google, Firefox, etc.Dark Internet is a part of the Deep Web. It can be reached via TOR.Actors on Dark Web pages are anonymous and secret. Anonymity, anonymity and the probability of non-detection are three considerations offered by special browsers, such as TOR and I2P. In this article, we're going to analyze and produce findings on the effect of the Dark Web on various realms of society. The number of average anonymous users of the Dark Web (using TOR) in both Kosovo and the world is provided for a period of time. The effect of secret resources websites is seen and the findings are obtained from the search engines of Ahimia and Onion City Dark Web. Anonymity is not absolutely confirmed on the Dark Internet. TOR is committed to it and planned to carry out secret tasks.
Uji Kemiripan Kalimat Judul Tugas Akhir dengan Metode Cosine Similarity dan Pembobotan TF-IDF

Deli Husada Health Institute is a health campus that has been established for 34 years, currently it has 30000 students, each student at the final level will submit a final project of study program every year, each student before doing his final project report must provide the title of an assignment report. Finally, to the study program, to reduce the level of similarity in the title of the student's final report, the study program usually conducts a manual check, the result that appears is that it is not effective in determining the title of the final project for students, so that it creates quite a lot of similarities between students. So that many final project reports look the same. With the above conditions, the Sentence Similarity Test of the Final Project Title was carried out with the Cosine Similarity Method and TF-IDF Weighting at the Deli Husada Delitua Health Institute Campus. At the end of the test results on the training data against the training data, the results obtained were 43% of the titles in Submitted is not eligible to be submitted again and 53% is eligible to be submitted as the title of the final project because it has high similarities to the title of the final project report. And get the average time 0.12117 in minutes
Aplikasi Sistem Pakar Untuk Diagnosa Penyakit Tanaman Cabai Dengan Metode Forward Chaining Berbasis Android

chili plants can get various diseases. This problem will mark the decline in the quality and yield as well as the yield of chilli plants. lack of additional information to overcome the problem of pests and diseases is one of the reasons farmers or cultivators of chili plants specifically for beginner farmers in chili cultivation. this expert system will be implemented into an Android-based application using the Forward Chaining inference method to determine results and solutions that are reliable or accountable. This research was designed to create an expert system capable of diagnosing diseases in chili plants based on the knowledge provided directly from experts / experts. In this study consisted of 26 symptom data, 7 chili disease data and 20 rule data. This Expert System can be made after going through the stages, namely problem analysis, Needs Analysis, User Analysis, Running System Analysis, Data Need Analysis, and Analysis of Data collection, then system design with flowcharts, database design, and interface design. This application is made with codular tools, with MySQL databases and PHP Myadmin. The test results show functional testing using the Black Box Testing method to get the results as expected in the test scenario in each test class.
Research Guides: Library Guide to SIP Research: Previous SIPs

Each SIP is unique. These resources and suggestions do not replace guidance given by departments or advisors.
PENENTUAN JALUR PENGIRIMAN PESANAN MENGGUNAKAN METODE TRAVELLING SALESMAN PROBLEM (TSP) DENGAN ALGORITMA HEURISTIK DI KPRI SEHAT RS MARGONO SOEKARJO PURWOKERTO

In everyday life, there are many problems that can be solved and brought into the form of a diagram consisting of points and lines, for example looking for a salesman route (Traveling salesman problem (TSP)). This problem is classified as having very many possible answers. The Heuristic Algorithm is an algorithm that produces the best solution to problems that are part or intersect with a more complex problem where delivery of orders from producers to consumers is maximized. This algorithm looks for the minimum spanning tree of all vertices. Then, forming a circuit that has been passed more than once, so that it is expected to provide optimal solutions in solving the problem of order delivery. With this method, we can find the fastest distance to deliver orders to consumers. This not only makes it easier to find the best route that can speed up delivery of orders to consumers, but also can keep food good because it reaches consumers faster at Rs Margono Soekarjo Purwokerto.
RETRACTED ARTICLE: Extracting the cervical cancer cell region through super pixel segmentation

The objective is to extract the extra space to find the malignant area. The image has been observed and extracted with various methodologies to find the exact nuclei of the cancer cells. Koilocytes cells were taken into consideration of analysis and super pixels segmentation. The malignant cells were found out by extracting and eliminating the background space of the cervical image to get a clear picture of the affected cervical cells. The nuclei cells were segmented to get positive and negative values. The original images were extracted by removing the background spaces and the cytoplasm of the cervical region. The squamous and basal cells were determined by eliminating unwanted cytoplasm. The super pixel cells were taken for the analysis. The method was designed the framework with the series of segmentation and extracting the core nuclei to extract the unwanted space to find the malignant area. Stage 0 explains about the cancer cells find out in the surface of the cervix. More invasive cancers are differentiated into four stages. Stage I—if cancer grows beyond the surface of the cervix and the uterus without affecting the outer region i.e., Walls of the pelvis or the vagina’s bottom surface. Stage II describes the cancer cells has been spread beyond the cervix surface and uterus and possibly to nearby tissue. Stage III cancer considered as a severe type of cancer. The cancer cells were spread to the lower part of the vagina and sometime it will stop the urine flow. Stage IV clearly defines the most advanced stage of cervical cancer. It will affect all the organs of the body. The affected cells were extended to the organs of the human body. The detected malignant cells were divided into segmentation. If the segmentation of each frame contains a malignant cell, then it will be marked as positive and if the frame doesn’t have a malignant cell, then it will be marked as negative. By analysing the segmentation and extraction it can be easily find out the number of malignant cells in the region. In our proposed methodology the original image was undergone into various slides of the Pap smear test. By the positive and the negative values of the core nuclei the growth and the severity of the malignant cells can be pictured. Through the results, the treatment can be easily carried out according to the stages of severity.
LibGuides: Study Skills and Time Management: Web Sites

Resources to help manage assignments and studying and to balance school, work, and home tasks.
Exploiting Contextual Similarity in Sentiment Analysis Using Word Embedding and Recurrent Neural Network

Rapid growth of Internet users across the world and technological advancement in smart devices in last decade has brought many traditional public services on the Internet, leading them to avail these services sitting at home in their comfort zone and providing their feedback on social media or service providers web sites. Now people express their opinion freely, conveniently and frequently, resulting in a huge volume of opinion data on the Internet. Today’s era is quite competitive and, in this competition, if any organization want to stay relevant then they will have to pay enough attention on the users’ opinion and that’s what companies are doing by leveraging artificial intelligence and natural language processing. However, these opinion data are only available in unstructured format with lot of hidden information. Sentiment Analysis is one of the challenging tasks in NLP where with the help of machine learning algorithms and language modelling these opinion data are collected, processed and exploited to provide better services to the users. In this paper we have presented machine learning approach for exploiting contextual information in sentences. There are many machines learning based probabilistic approach to classify users’ reviews in positive and negative classes as per the polarity of the terms in text data, but most of them treats opinion words independently while in reality in any language words possess strong relationships with other words, resulting in low precision of the NLP model for sentiment analysis. Feature representation for the collected text data and how machine learning model learns from text are crucial to build a good model. With distributed word vector representation, this missing contextual information of the neighbouring words can be exploited in predicting the polarity of the reviews. Polarity of the sentence or paragraph cannot be seen as a count of individual terms on the basis of their independent positive or negative polarity but also it takes into consideration of those neighbouring words in the sentences that has major contribution in the overall sentiment of the review document. We used neural network to perform sentiment analysis on processed input user review data in a way that well trained model should be able to predict user sentiment with high accuracy .We experimented with the tweeter dataset (Go, Bhayani, and Huang n.d.) publicly available for NLP research. Experimental result shows that neural network model outperform other lexicon-based approaches in terms of accuracy when supplied with the contextual information.
Deviations of Pragmatic Cooperation Principles in Online Learning Interactions in Senior High School

Communication is a cooperative activity that is very important to achieve the goals expected by teachers and students. In the new normal era, education must continue in various ways, one of which is online learning. This study aims to describe the deviation from the principle of cooperation in the interaction of Indonesian language learning conducted online at SMAN 1 Parakan. This study took class XI data in the teaching material Preparing Proposals. This research is descriptive qualitative research with a case study approach. The data and data sources of this research are speech deviation from the principle of cooperation in online learning interactions. The application used in online learning uses google classroom where most of the conversations occur. This research is based on the occurrence of deviations from the maxims that exist in the principle of cooperation and the factors that cause it. The results of this study indicate that at least the interaction of learning has deviated from the maxims that exist in the principle of cooperation, namely: 1) maxim of quantity, 2) maxim of quality, 3) maxim of relevance, and 4) maxim of manner.
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models

In this paper, we learn dynamics models for parametrized families of dynamical systems with varying properties. The dynamics models are formulated as stochastic processes conditioned on a latent context variable which is inferred from observed transitions of the respective system. The probabilistic formulation allows us to compute an action sequence which, for a limited number of environment interactions, optimally explores the given system within the parametrized family. This is achieved by steering the system through transitions being most informative for the context variable. We demonstrate the effectiveness of our method for exploration on a non-linear toy-problem and two well-known reinforcement learning environments.
UTILIZATION OF WEBSITE BASED UKM FUND MANAGEMENT APPLICATION AT PGRI MADIUN UNIVERSITY

Proposal is a form of activity design and budget draft in written form to apply for funding. One of them is implemented at the University of PGRI Madiun in the form of submission of UKM funds so that with financial assistance UKM can develop the interests and talents of students outside the classroom to the maximum. Considering that currently the development of technology is very rapid, we need a breakthrough to minimize the occurrence of human error and accelerate the process of submitting a proposal that is by making a website-based SME fund management application. In addition, this research can provide better benefits at the University of PGRI Madiun related to the process of filing SME funds. This research uses the waterfall method because these methods are sequential where the previous steps are completed first before going to the next step starting from needs analysis, website design, design / implementation, evaluation / testing, and maintenance. With this website-based UKM fund management application, the process for submitting UKM funds can be done digitally so that it is more efficient and effective because the submission of UKM funds can be done without having to visit the relevant institutions.
Easiest Guide To Overclocking Your GPU

Upgrades are essentials and should be part of every computer package that is thrown our way. To achieve the best performance on your computer you will ...
DOLCe Project Report: Connecting the TDR Dataverse to TACC storage

The Digital Object LifeCycle—or DOLCe—project connecting the Texas Data Repository (TDR)Dataverse to TACC storage was funded by the University of Texas at Austin’s Planet Texas2050 (PT2050) Grand Challenge program. Three of the stakeholder organizations describedabove partnered to complete this work: TACC, UTL, and TDL.Our aim was to facilitate the publication and preservation of larger data in the TDR platform.1With PT2050 funding, we focused on offering an option for larger data publication to a limitedcommunity of researchers. Our team completed development work on the Dataverse software,which enabled the TDR to manage multiple data stores. We then connected the TDR Dataverseto TACC systems as a location for large data storage, and offered larger data publicationservices to the PT2050 community of researchers as a pilot.
Libraries, Archives, Museums: Creating a simple library website (2021): 1 - Designing Your Website

Use these resources to build a simple, easy to maintain, website for your library. Before you start building/coding, think about what you and your users want.
SISTEM PAKAR DIAGNOSA PENYAKIT PARU MENGGUNAKANMETODE DEMPSTER SHAFER BERBASIS ANDROID

Delay in knowing the illness suffered causes the death due to adisease. After experiencing a delay in knowing the illness, of course in thetreatment will also experience a delay because it is already worse the disease.People who suffer from lung health problems tend to ignore the symptoms orpain they feel until finally the disease gets worse. After the disease gets worsethen the patient conducts an examination at the hospital. This study aims tohelp users to know the diagnosis of lung disease early on the basis ofsymptoms that are felt so that appropriate treatment can be done in accordancewith the characteristics of the disease in the user. In the application of thisexpert system, it is assisted by the Dempster Shafer method. Dempster Shaferis a mathematical theory for proof based on belief functions and plausiblereasoning, which is used to combine separate pieces of information (evidence)to calculate the likelihood of an event. On this basis, a system that can help theuser to be able to diagnose lung disease will be made according to thesymptoms found in the user who has the disease.
LibGuides: Faculty Online Migration LibGuide: Communicating with Students

This LibGuide is chock full of resources that will help you migrate your courses to an online environment.