Reviewerly/exHarmony huggingface dataset:
The conorm code of an AG-code

Given a suitable extension $ F'/F $ of algebraic function fields over a finite field $ \mathbb{F}_q $, we introduce the conorm code $ \operatorname{Con}_{F'/F}( \mathcal{C}) $ defined over $ F' $ which is constructed from an algebraic geometry code $ \mathcal{C} $ defined over $ F $. We study the parameters of $ \operatorname{Con}_{F'/F}( \mathcal{C}) $ in terms of the parameters of $ \mathcal{C} $, the ramification behavior of the places used to define $ \mathcal{C} $ and the genus of $ F $. In the case of unramified extensions of function fields we prove that $ \operatorname{Con}_{F'/F}( \mathcal{C})^\perp = \operatorname{Con}_{F'/F}( \mathcal{C}^\perp) $ when the degree of the extension is coprime to the characteristic of $ \mathbb{F}_q $. We also study the conorm of cyclic algebraic-geometry codes and we show that some repetition codes, Hermitian codes and all Reed-Solomon codes can be represented as conorm codes.
Student’s Online Learning Level during the Pandemic from the Perspective of Lecturers in a Teacher Training Institute

COVID-19 has been declared as a pandemic, an epidemic of a disease that spreads so widely across the world. Thus the Malaysian government has enforced the Movement Control Order (MCO) effective 18th March 2020 to curb the spread of the virus which includes the closure of all educational institutes. In order to ensure that all teaching and learning process (T&amp;L) continue smoothly, the Teacher Education Institute or locally known as Institut Pendidikan Guru (IPG), has adopted the online T&amp;L platforms to deliver lessons. This study was conducted to identify the IPG lecturers’ perspective of student teachers’ online learning level during the pandemic. It also explores the support required by the lecturers in implementing online T&amp;L. This study used a quantitative approach which is supported by qualitative findings. The sample of the study were 806 IPG lecturers who were given questionnaires in the form of 5-point Likert Scale items and open ended questionnaires. The finding of the study indicated a high level of students' learning with mean scores exceeding 4.0 for all items where the highest mean was for the item ‘students attend online classes’ (mean=4.49, SD=0.77). The qualitative analysis of the open ended questions showed that IPG lecturers needed support in the form of internet access, guidance and training to utilise the online platforms for T&amp;L, and technical and moral support to help increase students’ level learning. The results of the study implicate that both the lecturers and students need to strive harder to familiarise themselves with this new situation and to ensure that the online T&amp;L runs smoothly and effectively
Research on the Teaching Strategy of Middle School Chemistry Under the Concept of Wisdom Education

In the 21st century of the information age, the rapid progress and development of computer and information
UNIVERSITY INFORMATION AND EDUCATIONAL SPACE AS A MODERN TREND OF PROFESSIONAL TRAINING OF SPECIALISTS

The article is devoted to the urgent problem of the formation of information and communication competence of future teachers of the Russian language and literature. The use of electronic educational resources allows us to provide a high informative capacity of educational and linguistic material and helps to create optimal conditions for the training of futurespecialists. The article is an analysis and generalization of the concept of ICT competence of a future specialist, carrying out his professional and pedagogical activities in the modern information and educational space. The potential possibilities of electronic educational resources and the practical use of techniques and skills of activity in the information educational environment in the context of future professional activities are considered. The authors propose the formation of a basic level of information and communication competence within the discipline «Innovative technologies of teaching the Russian language», using a competency-based educational model for building the learner's competence (optimal methods, forms, means and teaching technologies); establishment of control points for determining the final level of competency formation. Thus, the modern information and educational space of a university is the factor that determines the specifics of the information and communication competence of a modern teacher
Implementation of E-Learning Model Assisted Interactive Video in Increasing Motivation and Learning Achievment on Application Letter Material In Class Xii IPS 1 Madrasah Aliyah Negeri 1 Banjarmasin Academic Year 2020/2021

This research studies about the the implementation of E-learning model assisted by interactive video media to overcome the low motivation and learning achievment of class XII IPS 1 MAN 1 Banjarmasin on application letter material. This research aims at finding out the urgence and effectivity of using E-Learning model assisted by interactive video in teaching-learning process. This study used a classroom action research design (PTK) with 2 cycles. Each cycle consists of planning, implementing actions, observing and evaluating, and analyzing and reflecting. The subjects in this study were students of class XII IPS 1 with a total of 31 students. Data collected using observation techniques, written tests and questionnaires. Furthermore, the data were analyzed using quantitative descriptive analysis techniques and qualitative analysis. The results showed that there could be an increase in learning outcomes from 62.47 in cycle I to 80.26 in cycle II, an increase in student motivation from 78.55 in cycle I to 105.5 in cycle II and students responded well to implementation. e-learning assisted by interactive video media.
Percepción de los estudiantes de la carrera de Gastronomía ante la experiencia de estudiar en modalidad virtual a consecuencia de las restricciones sanitarias por el COVID-19

During the contingency caused by COVID-19, educational institutions in Mexico had the challenge of unexpectedly implementing distance education at all educational levels, carrying out different strategies to learn to use different technological tools, with the purpose to rescue the school year, the educational program and guarantee student learning. For the Gastronomy career at the Technological University of León, the change to a virtual modality meant rethinking the educational program, developing the skills to be acquired by students, and acquiring technical-professional skills typical of their training. This qualitative research provides an insight into the perception of the online study that students have during confinement, the strategies used, the type of equipment and internet service used; The results provide valuable and useful information to implement in the short term a series of supports and improvement proposals that impact the learning and teaching process.
Perbaikan Algoritma Naive Bayes Classifier Menggunakan Teknik Laplacian Correction

Naïve Bayes Classifier is one of the classification algorithms in Data Mining with a good processing speed and a fairly high level of accuracy. In the classification process the Naïve Bayes Classifier adopts the Bayesian theorem to map a data against a class by taking into account the probability of the attribute data, but because the Naïve Bayes Classifier makes probability the basis for its calculations, it is certainly very risk if it is wrong. If one class that is contained in the attribute has a value of 0, this will reduce the level of accuracy of the classification process carried out by the Naïve Bayes Classifier algorithm itself, therefore in this study the Laplacian Correction technique is used as an alternative to fix the problems that are owned by the Naïve Bayes Classifier Algorithm. The result of this research is that the Laplace Correction technique has succeeded in improving the performance of the Naïve Bayes Classifier by fixing the 0 value for each attribute. The level of accuracy that is owned by the Naïve Bayes Classifier after experiencing improvements with the Laplacian correction technique is 94.44%.
Rainfall Data Modeling in Simalungun Regency Using the Arima Box-Jenkins Method

One of the components of the environment that determines the success of plant cultivation is climate. To predict rainfall, the author uses the ARIMA Box Jenkins method, which is a quantitative forecasting method. The data used are data for the period July 2012 to June 2017. In this study, the right model is the ARIMA model (2,0,2) with Xt = 4.05668 + 0.9416Xt-1 - 1.0039Xt-2 - 0, 8558et-1 + 0.9617et-2 + et which is used to forecast rainfall for the next 12 periods. The selection is based on the smallest MSE (average error squared) value of 0.033401954 and the smallest RMSE (root mean square error value), which is 0.001115691 and the smallest MAPE (absolute average error percentage) is -0 , 00801773.
Calibration and Auto-Refinement for Light Field Cameras

The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the prin- ciples of light fields. This paper presents an approach for light field camera calibration and rectification, based on pairwise pattern-based parameters extraction. It is followed by a correspondence-based algorithm for camera parameters refinement from arbitrary scenes using the triangulation filter and nonlinear optimization. The effec- tiveness of our approach is validated on both real and synthetic data.
ANCIENT KNOWLEDGE OF EARTHQUAKE PROTECTION

The custom of laying out the foundation stone is a remnant of an ancient knowledge of importance of an auspicious beginning of the construction.Today, many key knowledges about building that brings a good luck to the occupants has been lost.Failure to build in proper way causes many troubles to the inhabitants.Here we are presenting the basic knowledge of a restored science of the construction according to the Natural Laws -Maharishi Vastu architecture for Fortune Creating Homes.In the land of that knowledge -India -there are temples that remain undamaged for hundreds of years while nearby houses are collapsing due to the earthquakes.Just as there are people who never or extremely rare get sick, one might say they are invincible, so there are invincible houses and settlements/cities, too.The invincible house or settlement means that it is bypassed by fires, hurricanes, floods, probably earthquakes, and the occupants are lucky, healthy & wealthy in everyday life since the house generates peace, order & harmony to its occupants.These Fortune creating homes are examples of the Meissner effect -invincibility -in architecture and building.
Faktor yang Paling Dominan Mempengaruhi Rendahnya Motivasi Belajar Mahasiswa Prodi Pendidikan Matematika

This study aims to determine what factors have the most dominant influence on the low motivation to learn mathematics subjects related to algebra, geometry, calculus, statistics, and trigonometry in students of the Mathematics education program STKIP Persada Khatulistiwa Sintang. This study uses a quantitative approach with data analysis using exploratory factor analysis and descriptive analysis with 64 research subjects as students of the Mathematics Education Study Program of STKIP Persada Khatulistiwa. The results showed that the most dominant factor affecting the low learning outcomes of mathematics education study program students was the learning facilities factor with a variance percentage of 20.914%. Keywords: The most dominant factor, learning motivation
Student Assistant: Bot Acting as a Students Personal Assistant

Chat-bots assistant area of computer programs coded to possess a matter or verbal spoken language that is logical or intelligent. Chat-bots area unit designed to create humans believe that they're reprimand a human; however instead they're actually reprimand a machine. Taking advantage of this transparency property of chat-bot, a man-made character and temperament may be given to a chat-bot that acts sort of a person of a particular profession. This paper describes AN approach the concept of implementing “STUDENT ASSISTANT” a larva can solve several issues associated with students studies or teachers. The necessary options of this project is, when the required or necessary info from the students WhatsApp group (like-examdate’s, result, faculty raise something etc ) it'll cue the scholars if they are doing not seen the message. Chatbot helps the scholars in fixing schedule and adding them within the calendar. And conjointly it helps as a pursuit engine.
Research on the Application of the San Diego Reading Quick Assessment Form in the Teaching of Diagnostic English Reading

Based on the theory of diagnostic reading teaching, this article introduces the San Diego quick assessment form and operating methods, and conducts classroom practice for domestic English majors to explore whether the assessment form can improve the reading ability of students under the diagnostic English reading teaching mode Help and influence.
The Effects of Total Quality Management Practices on Firm’s Performance

Purpose: This research paper investigated the effects of Total Quality Management practices on different performance measures across firms in the United States.Design/Methodology/Approach: The paper used a cross-sectional survey methodology, and the uniting of the sample was indicated as a plant level.The sample for the study was selected from the members of the United States' top 100 best employers' companies.Two hundred fortytwo questionnaires were obtained from the respondents, which was about 56% response rate.Exploratory analysis and regression analysis were then performed in the data.Findings: The study found that different Total Quality Management practices significantly affect a firm's performance outcomes.Results also revealed a need for firms to improve the Total Quality Management practices' involvement, enhance their structure, and provide the necessary resources to the employees to improve service delivery.Practical Implications: The research results may be useful in economic practice to increase the effectiveness of productive employment and to improve service delivery.Originality/Value: The original contribution of the paper is the clear identification of the positive relationship between Total Quality Management and the analyzed performance measures based on a set of different statistical analysis.
School Librarians During the Covid-19

This study aims to determine the roles and obstacles of school librarians in providing services during the Covid-19. This descriptive study used a qualitative approach. The researchers selected 13 representatives of high schools, vocational high schools, and madrasah aliyah at the same level as public and private. The data were obtained through observations, interviews, and documentation. The study found that school librarians have provided certain library services during the Covid-19 pandemic, namely providing direct services by implementing health protocols, providing digital information sources or e-books, disseminating information via WhatsApp, improving and fixing library infrastructures. Meanwhile, the obstacles faced by school librarians were unpreparedness to face the pandemic, lack of technology facilities and internet access, lack of competency, and minimum library budget.
Natural Language Processing for Computer Scientists and Data Scientists at a Large State University

The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it's a field that should be accessible to anyone who has a sufficient background.In this paper, I explain how students with Computer Science and Data Science backgrounds can be well-prepared for an upper-division NLP course at a large state university.The course covers probability and information theory, elementary linguistics, machine and deep learning, with an attempt to balance theoretical ideas and concepts with practical applications.I explain the course objectives, topics and assignments, reflect on adjustments to the course over the last four years, as well as feedback from students.
A Novel Weighting Attribute Method for Binary Classification

In conventional binary classification algorithms, all features are treated as having equal weight and classification models are built without taking into consideration the fact that different attributes can have different levels of influence on a class. Attribute weighting adjustments are used in machine learning models to improve performance. In this paper, we propose a novel attribute weighting method based on mutual information and apply this method to four classical machine learning models for classification. We study the performance of our weighting method by conducting experiments on the Wisconsin Breast Cancer database and Blood transfusion service center dataset. In three of the four machine learning models, our weighted attribute model outperformed the corresponding conventional machine learning models in binary classification.
Beauty Salon Innovative Service Robot Market Research

In this paper, a new type of service robot has been developed, which is mainly aimed at the development of beauty salons.In the past, beauty salon service robots have only fixed model hair introduction and mobile belt function, and the most important innovative concept of the robot developed in this paper is to achieve real-time use of the customer's own avatar to use different hairstyles, to achieve customers and hair stylists more accurate choice of suitable hairstyle effect.After questionnaire survey and analysis, it is found that beauty salons attach the most importance to the functional richness of service robots, and in the comparative analysis of functional preferences, it is found that providing customers with hair reference is the most important function in all positions.For the results of the study, it can indeed provide a reference for subsequent robot design.
Utilization of Artificial Intelligence Technology in Assisting House Chores

AI is accomplished by the combination of a large amount of input, repetitive analysis, and intelligent algorithms. This enables the program to automatically learn from the trends or features found in the results. Artificial intelligence is also being used in a variety of areas, one of which is schooling. It may also be used to assist households with domestic chores. Technology was developed to improve the life of a large number of citizens. Western technology is heavily reliant on computer technology as a result of a scarcity of human capital. That is why they developed a large number of robotic machines. Technology is extremely beneficial in terms of performance, efficacy, and also cost; utilizing technology is significantly less expensive. Any of the most prominent AI developments are reimagining the consumer electronics market, such as the smarthome. AI has enabled the easy control of household appliances.
Modelling and Analysis of Facial Expressions Using Optical Flow Derived Divergence and Curl Templates

Facial expressions are integral part of non-verbal paralinguistic communication as they provide cues significant in perceiving one’s emotional state. Assessment of emotions through expressions is an active research domain in computer vision due to its potential applications in multi-faceted domains. In this work, an approach is presented where facial expressions are modelled and analyzed with dense optical flow derived divergence and curl templates that embody the ideal motion pattern of facial features pertaining to unfolding of an expression on the face. Two types of classification schemes based on multi-class support vector machine and k-nearest neighbour are employed for evaluation. Promising results obtained from comparative analysis of the proposed approach with state-of-the-art techniques on the Extended Cohn Kanade database and with human cognition and pre-trained Microsoft face application programming interface on the Karolinska Directed Emotional Faces database validate the efficiency of the approach.
Voter Fraud’s False Advertisers: Partisanship and Preventing Another Kansas Interstate Voter Registration Crosscheck Program

When people move between states, it is necessary for states to clean up their voter registrations to match the voter's current location; this involves states sharing voter data among themselves.One of these data-matching operations experienced particular success-the Interstate Voter Registration Crosscheck Program ("Crosscheck"), based out of Kansas.It shouldn't have: it had a flawed methodology, a more cost-effective rival, and a partisan strategic orientation.This paper researches the correlation between state partisan control and Crosscheck membership, and finds strong associations between Republican state legislative control and membership in the program-however, it also finds a handful of instances of participation by Democratic states.It finds an additional regional bias toward midwestern and southern states, likely due to proximity to Kansas.Seeking to explain these outliers, the remainder of the paper explores the administrative costs and benefits of using Crosscheck, discusses the possibility of Democratic communication failures, and offers solutions.
Analisis Dampak Covid-19 Terhadap Indeks Harga Konsumen dengan K-Means dan Regresi Berganda

&lt;p&gt;The Indonesian economy during the global pandemic entered the brink of economic recession. This problem occurs because the state of public consumption has decreased due to the limited space for community movement and sluggish economic activities due to preventing the transmission of Covid-19. This affects the decline in public consumption in economic activities. In this case, it can be seen from the statistical news published by the official website of the Badan Pusat Statistik (BPS) which reports that the inflation rate in the previous months was around 0.10%, while in April 2020 it decreased by 0.08%. Based on these, a &lt;em&gt;K&lt;/em&gt;-means grouping study was conducted by dividing the cluster into 3 parts and modeling using multiple regression methods. In this study, the variable used was the price index. The results of the &lt;em&gt;K&lt;/em&gt;-means cluster analysis with the division of 3 clusters, namely cluster 3 (high CPI cluster) consisting of 66 cities, cluster 1 (moderate CPI cluster) consisting of 2 cities, and cluster 2 (low CPI cluster) consisting of 22 cities. Furthermore, the multiple regression results obtained 12 variables that have a significant effect on the Consumer Price Index (CPI). The results of regression modeling are the highest coefficient is food at 0.236 and the lowest coefficients are cigarettes and tobacco at 0.008. Therefore can be concluded that the grouping of the CPI indicator obtained 75% of cities with high index prices, especially in big cities such that economic activity, in general, was still consumptive during the pandemic and multiple regression modeling resulted from 37 indicator variables, only 12 indicator variables had a significant effect on the CPI.&lt;/p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;&lt;em&gt;k&lt;/em&gt;-means, CPI, multiple regression, and price index
Analisis Perbandingan Performa Codec H.264 & H.265 Video Streaming Dari Segi Quality of Service

Video streaming is a technology that is often used when watching videos on the internet without having to download then video to play it. Some problems that affect the performance of video streaming are such as the large capacity of the video size, the capacity of the video size affects the smoothness when streaming video. In this research, two video compression methods will be compared, namely H.264 codec and H.265 codec. The test is carried out to determine the effect of using the compression method according to changes in the codec ang framerate used. After testing the two codec, it can be concluded that the H.265 codec is more effective to apply than the H.264 codec.