Reviewerly/exHarmony huggingface dataset:
The Digitalization And The Challenges To Education Of Economics And Commerce

In today's highly dynamic and uncertain environment, universities are faced with a responsible and difficult mission -to educate young people to be successful through the formation of knowledge and skills, including cognitive and socio-behavioural, necessary for their personal and professional realization. Digitization has required significant changes in education and has pushed innovation, made e-learning and distance learning possible. But at the same time, there were some challenges and problems to the participants in the e-learning process. The report presents the personal opinion of the authors on: the digitalization and learning process of students in economics and commerce; the current situation; some benefits and challenges of e-learning and distance learning.
Library Class and Subject Guides: Computer Engineering Technology: Find Technical Reports

Find journal articles, books, videos, maps, and more on Computer Engineering Technology. Guide to Finding Technical Reports
Variational Bayes Estimation of Hidden Markov Models for Daily Precipitation with Semi-Continuous Emissions

The hardware used in the computational studies is part of the UMBC High PerformanceComputing Facility (HPCF). The facility is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS–0821258, CNS–1228778, and OAC–1726023)and the SCREMS program (grant no. DMS–0821311), with additional substantial supportfrom the University of Maryland, Baltimore County (UMBC). See hpcf.umbc.edu for moreinformation on HPCF and the projects using its resources. Reetam Majumder was supportedby JCET and as HPCF RA.
IMPLEMENTASI SISTEM QOUTA DAN LIMITASI BANDWIDTH MENGUNAKAN USER MANEGER PADA MIKROTIK ROUTER OS

Good bandwidth management makes data access to the maximum the process of sending data is not disturbed and the smoothness of data becomes good in the process of sending data uninterrupted and smooth in accessing the internet. However, with a lage number of partners and customers, as is the company’s abillity to create more added value. good stable internet network in a provider, of course it can greatly support the process of selling services to consumers, of course it is very necessary in the process of accessing information in internet access, in this case a provider is needed in managing the bandwidth distribution system. While the number of customers is large, so a provider must be smart in dividing good bandwidth according to the prioritized customer capacity. The problem that will arise on internet network that do not apply bandwidth management is that all users who are connected to the same network will not get the same capacity and will cause network congestion which interferes with other data traffic so that they cannot maximize the data sending process.
Exploring Data Science for Highlighting Breast Cancer Prediction Using Python

This paper summarizes Data science which is an upcoming and advanced field in technology. We know that in today’s world storing large amounts of data is not easy and hence we use data science for it. Data science is a multi- disciplinary field that makes use of algorithms, processes to extract information from structured and unstructured data. Breast cancer is a form of cancer that develops in the breast cells. Breast cancer is the second most common cancer diagnosed in women all over the world, after skin cancer. Breast cancer can strike both men and women, but it affects women much more frequently. Major support for breast cancer awareness and education has assisted in the advancement of breast cancer diagnosis and care. This paper focuses on the use of data science to predict Breast Cancer. Generally, we use two languages for coding in Data Science – Python and R. Authors in this paper have used Python for implementation of the work. The main focus of this paper will revolve around Data Science, Python and Breast Cancer Prediction. Data science has importance in various fields and has shown itself as well be it medical or any other it has been on the list. The main focus of the paper is to lay emphasis on breast cancer prediction and use of python and data science in it.
PERANCANGAN APLIKASI E-LIBRARY BERBASIS WEB PADA SMK NEGERI 2 PAGAR ALAM

The development of information technology today has become a necessity for its users. library services that exist at SMK Negeri 2 Pagar Alam are still done manually. Making it possible during the process there was an error in recording, less accurate reports made, and delays in finding the data needed. In this discussion, the application of information technology discussed is shown in the field of education at SMK Negeri 2 Pagar Alam to design e-library applications (electronic library). This e-library application is designed using the PHP, javascript, HTML programming language, the research methods used in making this web-based e-library application are observation, interviews, and literature study. System development method using the waterfall method. This application will be accessed via the intranet (local network) at SMK Negeri 2 Pagar Alam. This application provides solutions in book management such as: searching for books, adding books, knowing the number of books, borrowing books, and being able to add library members. and all that can be accessed by the admin as a librarian in carrying out full management access rights and users as library members who can search for books or borrow books.
Research Guides: Open Access Policy at Virginia Tech: Version Prep

Information to help Virginia Tech authors deposit scholarly articles to VTechWorks How to prepare an accepted version for deposit
Determination of the Fractal Dimension of the Active Fault Data along the East Anatolian Fault Zone

The current study has analyzed active fault data along the East Anatolian Fault Zone (EAFZ) applying both manual (classic) and modern versions of the box counting method. The EAFZ active fault dataset used for analysis was taken from the Geoscience Map Viewer and the Drawing Editor from the website of the General Directorate of Mineral Research and Exploration. The study covered an area stretching from Karlıova in the north to Kırıkhan in the south. The fractal analysis of the earthquake surface rupture and the Holocene fault data was performed. Fractal dimensions of the EAFZ active-fault data were calculated for 15 boxes and compared with correlation coefficient values. The calculated fractal dimension values were found to vary with the density of the active-fault data falling into the boxes. The maximum fractal dimension value D1 was determined for Karlıova and its surroundings, which can be associated with the fault density due to the branching geometry.
A Technique for Increasing Payload Capacity of RGB Images Steganography based on Mod Factor and Segmentation

With the evolution of computer technologies and the internet, the security of information has become the most crucial challenges in communication to protect information, Steganography is one of the data hiding techniques which embed secret information in a media such as images, sounds, videos, and etc. in a way that it is not detectable by others.Focusing on the image, there are many methods which apply image steganography, with the increasing rate of unauthorized access and attacks, security of confidential data has an utmost importance.Steganography hides the confidential data in some cover image such that the existences of the data, which do not arouse suspicion regarding the communication taking place between two parties.In this paper, we proposed a technique to hide the secret message inside the cover image based on segmented the blue layer from the cover image, using initial threshold value, and we can change the value of the threshold according to the size of the secret message.Finally convert the secret message and embedding it in the segmented area.The results showed that the proposed technique gives better results of higher PSNR lower MSE.
An Analysis of the Most Common Essay Writing Errors among EFL Saudi Female Learners (Majmaah University)

This study was conducted to explore and analyze the most common essay writing errors among Saudi female learners at the departments of English, Majmaa'h University, Kingdom of Saudi Arabia. Therefore, the aim has been to identify those difficulties from an error analysis standpoint and identify the sources underlying them. An analysis of a written corpus of forty students' written essays was thoroughly conducted. Types of errors were categorized, and the factors that contributed to them were analyzed. The participants were English majors in their third year of study enrolled in an advanced writing course during the first term pertinent to the academic year 2018-2019. Three essays were given to each participant to write about two to four pages using the narrative, descriptive, and compare/contrast organization. A writing difficulties questionnaire was further employed. The findings showed that the most frequent types of errors made by the participants were: punctuation errors forming the most troublesome area, followed by spelling errors, preposition errors, article errors, wrong verb tense, wrong word form respectively. The findings suggested that writing in English as a foreign language is quite challenging for students. Interlingual and intralingual transfer was found to be the source underlying the most common errors.
LibGuides: Instructional Services: Library Support for Online Instruction: Pre-Recorded Content

This guide provides information on how Idaho State University libraries supports faculty who teach online courses. ISU Libraries offer pre-created content that you can easily add into your course without booking in-person library instruction.
Learning Individual Class Representation From Biased Multi-Label Data

Image recognition is a popular and important research field of computer vision. Recently with the development of deep learning technology, image recognition performance has been improved significantly. However with multi-label images, recognizing individual category is a challenging task. In order to address the problem, we propose a Feature Disintegrator (FD) that decomposes co-occurred instance features of multi-label into individual categories. In experimental evaluation, proposed method achieves the gains of mean average precision (mAP) up to 18.67% and 29.05% over baseline networks in ML-MNIST and ML-CIFAR, respectively. It shows 5.76% and 6.65% higher mAP than baseline on PASCAL VOC-2007 and MS-COCO data set respectively.
The Effect of Mastery Cooperative Learning Strategy and Individual Inquiry on Attaining the Technical Aspects of the Stages of Shot Put and Digital Achievement using the Linear Method among Vietnam University Students

Physiological indicators say a lot about the preparedness and performance of athletes. This study investigates the Effect of mastery cooperative learning strategy and individual inquiry in using the linear method among female students of An Giang University, the study sample consisted of (57) female students enrolled in track and field course (1) at the Faculty of physical education at An Giang University during the first quarter 2016/2017. The sample was divided into three equal groups. The first group (n=19) taught using the mastery cooperative learning strategy, the second group (n=19) taught using the individual inquiry strategy, while the third group (n=19) was taught using the traditional method. Results showed that there were statistical differences in favor of the mastery cooperative learning strategy and individual inquiry strategy over the traditional way.
InfoGuides: Research Support: Systematic Reviews

Information about library services that support faculty research. Covers services such as issuing DOIs, repository and publishing services for sharing and archiving research, metadata, data management, ORCID, biosketches, copyright and Creative Commons.
Dynamic visualization for L1 fusion convex clustering in near-linear time

Convex clustering has drawn recent attention because of its competitive performance and nice property to guarantee global optimality. However, convex clustering is infeasible due to its high computational cost for large-scale data sets. We propose a novel method to solve the L1 fusion convex clustering problem by dynamic programming. We develop the Convex clustering Path Algorithm In Near-linear Time (C-PAINT) algorithm to construct the solution path efficiently. The proposed C-PAINT yields the exact solution while other general solvers for convex problems applied in the convex clustering depend on tuning parameters such as step size and threshold, and it usually takes many iterations to converge. Including a sorting process that almost takes no time in practice, the main part of the algorithm takes only linear time. Thus, C-PAINT has superior scalability comparing to other state-of-art algorithms. Moreover, C-PAINT enables the path visualization of clustering solutions for large data. In particular, experiments show our proposed method can solve the convex clustering with 10^7 data points in two minutes. We demonstrate the proposed method using both synthetic data and real data. Our algorithms are implemented in the dpcc R package.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH VISUALIZATION STRATEGY OF DRAW AND LABEL AT THE SEVENTH GRADE OF SMP 17.1 GEDONGTATAAN IN THE ACADEMIC YEAR OF 2020/2021

This research was aimed to improve students’ reading comprehension through visualization strategy of draw and label at the seventh grade of SMP 17.1 Gedongtataaan. The subjects of this research consisted of twenty three which consisted of 19 males and 4 females. This research was conducted by using classroom action research. The model of action research stated by Kemmis and Taggart, it consisted of two cycles. There were four steps in each cycle of the research; planning, action, observing, and reflecting. Before going to the first cycle, the writer did pre-cycle to know the students’ reading comprehension and the students’ difficulties in comprehend reading text. In the research, the writer collaborated with the English teacher at the seventh grade of SMP 17.1 Gedongtataan to carry out the data of the students. This research was focused to improve the students’ learning activities and the students’ reading comprehension. The improvement of the students’ learning activities could be seen from the average score of the students’ learning activities of cycle 1 were 7.10 with the criteria was quite active, while the second cycle was 7.85 with the criteria was active. So the improvement of the students’ learning activities during the first cycle to the second cycle got 0.75 point. The improvement of the students’ reading comprehension could be seen from the average score of pre-cycle was 63.65 there was 8 students who passed the Minimum Mastery Criterion. The average score of cycle 1 was 65.97, there were 7 students or 30.43% who passed the Minimum Mastery Criterion and the average score of cycle 2 was 71.07 there were 15 students who passed the Minimum Mastery Criterion or 65.21%. From the result of analyzing the data, it could be said that the Classroom Action Research by applying visualization strategy of draw and label can improve the students’ learning activities and the students’ reading comprehension.
Unconstitutional: Who Says? A Comment on the Reference re Genetic Non-Discrimination Act

This case comment deals with the issue of whether legislative drafters, on ethical grounds, should refuse to draft legislation that is potentially unconstitutional.
[Application Test of the AI-Automatic Diagnostic System for Ki-67 in Breast Cancer].

To study the different methods of artificial intelligence (AI)-assisted Ki-67 scoring of clinical invasive ductal carcinoma (IDC) of the breast and to compare the results.A total of 100 diagnosed IDC cases were collected, including slides of HE staining and immunohistochemical Ki-67 staining and diagnosis results. The slides were scanned and turned into whole slide image (WSI), which were then scored with AI. There were two AI scoring methods. One was fully automatic counting by AI, which used the scoring system of Ki-67 automatic diagnosis to do counting with the whole image of WSI. The second method was semi-automatic AI counting, which required manual selection of areas for counting, and then relied on an intelligent microscope to conduct automatic counting. The diagnostic results of pathologists were taken as the results of pure manual counting. Then the Ki-67 scores obtained by manual counting, semi-automatic AI counting and automatic AI counting were pairwise compared. The Ki-67 scores obtained from the manual counting (pathological diagnosis results), semi-automatic AI and automatic AI counts were pair-wise compared and classified according to three levels of difference: difference ≤10%, difference of >10%-<30% and difference ≥30%. Intra-class correlation coefficient ( ICC) was used to evaluate the correlation.The automatic AI counting of Ki-67 takes 5-8 minutes per case, the semi-automatic AI counting takes 2-3 minutes per case, and the manual counting takes 1-3 minutes per case. When results of the two AI counting methods were compared, the difference in Ki-67 scores was all within 10% (100% of the total), and the ICC index being 0.992. The difference between manual counting and semi-automatic AI was less than 10% in 60 cases (60% of the total), between 10% and 30% in 37 cases (37% of the total), and more than 30% in only 3 cases (3% of the total), ICC index being 0.724. When comparing automatic AI with manual counting, 78 cases (78% of the total) had a difference of ≤10%, 17 cases (17% of the total) had a difference of between 10% and 30%, and 5 cases (5%) had a difference of ≥30%, the ICC index being 0.720. The ICC values showed that there was little difference between the results of the two AI counting methods, indicating good repeatability, but the repeatability between AI counting and manual counting was not particularly ideal.AI automatic counting has the advantage of requiring less manpower, for the pathologist is involved only for the verification of the diagnosis results at the end. However, the semi-automatic method is better suited to the diagnostic habits of pathologists and has a shorter turn-over time compared with that of the fully automatic AI counting method. Furthermore, in spite of its higher repeatability, AI counting, cannot serve as a full substitute for pathologists, but should instead be viewed as a powerful auxiliary tool.
The educational project: a method of streamlining of educational process

The problem of education acquires in contemporary society new connotations, due to the unprecedented changes in all social life spheres. The accent transfers from informative to formative. Education goes beyond the limits of national requirements and values and tends towards universality, towards the common value heritage of humanity. A separate curriculum cannot satisfy social needs alone any more. In this context, an important role is played by educational projects which include different activities complementary to the compulsory educational process. The article presents what a project is and what the essential steps in elaborating one are.
Budaya Baca pada Mahasiswa Pendidikan Bahasa dan Sastra Indonesia Universitas Negeri Makassar

Abstract. This study aims to: (1) describe the reading culture of PBSI Makassar State University students; (2) describe the factors that influence the reading culture of PBSI Makassar State University students; (3) describe efforts to improve reading culture in PBSI students at Makassar State University. This research is a qualitative research. The subjects in this study were students of class 2019 of the Indonesian Language and Literature Education study program, Faculty of Language and Literature, Makassar State University. Meanwhile, the object of this research is reading culture, the factors that influence the formation of reading culture, and the efforts made by students in improving reading culture. The data collection technique used in this research is in the form of a questionnaire. The data in this study were analyzed using data reduction, data presentation, and drawing conclusions and verification. The results of research related to reading culture in Indonesian Language and Literature Education students are at a very good level. There are eleven factors that influence the formation of reading culture in students. And, there are nine efforts made by students of Indonesian Language and Literature Education, Faculty of Language and Literature, Makassar State University in improving reading culture. Keywords: culture, reading, college student
LibGuides: Searching for Online and Print Information Sources: Database Searching

This LibGuide is designed to provide tips and suggestions for searching for online and print information sources, especially for research assignments or research for publication. Most of these strategies might be called recipe guides because they offe
CAMBIOS EN LA ESTRATEGIA DE ENSEÑANZA. APLICACIÓN DEL APRENDIZAJE BASADO EN PROBLEMAS ANTE LA PANDEMIA

In the context of the pandemic, the Statistics course (Bachelor in Chemical and Bromatological Analysis) of Universidad Nacional de Misiones (Argentina) used the teaching strategy known as problem-based learning. The main objective of this didactic proposal was to achieve a significant learning of statistics, stimulating critical thinking and collaborative work. The didactic strategy of problem-based learning, allowed integrate theoretical concepts, the promotion of asking questions, the application of different statistical analyzes and collaborative work. This activity required effort and collaborative work in which the students were involved in their own learning. They showed enthusiasm and interest, which allowed inferring the acceptance of this new learning proposal. Therefore, this new modality will be implemented in the post-pandemic classes.
Algebraic Proof Systems (Invited Talk).

Given a set of polynomial equations over a field F, how hard is it to prove that they are simultaneously unsolvable? In the last twenty years, algebraic proof systems for refuting such systems of equations have been extensively studied, revealing close connections to both upper bounds (connections between short refutations and efficient approximation algorithms) and lower bounds (connections to fundamental questions in circuit complexity.)The Ideal Proof System (IPS) is a simple yet powerful algebraic proof system, with very close connections to circuit lower bounds: [Joshua A. Grochow and Toniann Pitassi, 2018] proved that lower bounds for IPS imply VNP ≠ VP, and very recently connections in the other direction have been made, showing that circuit lower bounds imply IPS lower bounds [Rahul Santhanam and Iddo Tzameret, 2021; Yaroslav Alekseev et al., 2020].In this talk I will survey the landscape of algebraic proof systems, focusing on their connections to complexity theory, derandomization, and standard proposional proof complexity. I will discuss the state-of-the-art lower bounds, as well as the relationship between algebraic systems and textbook style propositional proof systems. Finally we end with open problems, and some recent progress towards proving superpolynomial lower bounds for bounded-depth Frege systems with modular gates (a major open problem in propositional proof complexity).