Reviewerly/exHarmony huggingface dataset:
ICT Competence and Capabilities in the Performance of Junior High School Teachers in Santa Cruz Laguna

This study aimed to determine the relationship of ICT Competence and Capabilities in the performance of Junior High School Teachers in Santa Cruz Laguna A.Y. 2021-2022.Specifically, it sought to answer the following questions: (1) What is the profile of English teachers as to: age, sex, years in teaching position, number of ICT training attended and highest educational attainment; (2) What is the level of the ICT competence of the English teachers in terms of: Technological, Pedagogical, Didactical, Social; (3) What is the level of ICT capabilities of the English teachers in terms of: Hardware tools, Software tools, Internet usage; (4) What is the performance rating of English teachers be described as per Individual Performance Commitment and Review form?;(5) Is there significant relationship among the profile, ICT competence, ICT capabilities in the performance rating of the English teachers?The descriptive method was used in this study to determine the relationship of ICT Competence and capabilities in the performance of Junior High School teachers in Santa Cruz Laguna.The questionnaire called the Assessment checklist was utilized in the evaluation based on its features such as the content, usability, and user-friendly.The statistical treatments used were weighted mean and standard deviation.Spearman Correlation was used to determine the relationship of ICT Competence and Capabilities in the performance of English teachers in Santa Cruz Laguna.The respondents' results' on ICT Competence in terms of: Technological, Pedagogical, Didactical and Social was High among respondents.The Performance of Teachers attained through Individual Performance Commitment Rating was Very Satisfactory.Therefore, the hypothesis is accepted.It revealed that there is no significant relationship between the mean scores of ICT Competencies and Capabilities in the performance of English teachers.
Malaria diagnosis using microscopic imaging

Malaria, a dangerous disease caused by Plasmodium, which is spread by being bitten by infected mosquitoes (Female Anopheles). It is crucial to diagnose malaria pathogens quickly and accurately at the right time. Traditional microscopy is commonly used in developing countries to diagnose malaria parasites, where pathologists examine the slide under a light microscope. However, in the case of traditional microscopy, requires more time and careful attention. Here, we have proposed a method to diagnose malaria based on computer vision. As a pre-processing stage, SAMF (Systematically Applied Mean Filter) algorithm is proposed that removes impulse noise from the corrupted malaria-infected images. Otsu method is used to obtain the binary version of images for cropping blood cells from complete image. 17 texture and color features were extracted from these cropped cells and these features were used to train Cubic SVM (Support Vector Machine) classifier. Hence a precise malaria diagnosis system was developed for detecting Plasmodium parasites, identifying their life stages and species using images of thin blood smears. A total of 348 images from CDC (Centre for Disease Control and Prevention) database were used to train and test the performance of the system.
DORA: Exploring Outlier Representations in Deep Neural Networks

Deep Neural Networks (DNNs) excel at learning complex abstractions within their internal representations. However, the concepts they learn remain opaque, a problem that becomes particularly acute when models unintentionally learn spurious correlations. In this work, we present DORA (Data-agnOstic Representation Analysis), the first data-agnostic framework for analyzing the representational space of DNNs. Central to our framework is the proposed Extreme-Activation (EA) distance measure, which assesses similarities between representations by analyzing their activation patterns on data points that cause the highest level of activation. As spurious correlations often manifest in features of data that are anomalous to the desired task, such as watermarks or artifacts, we demonstrate that internal representations capable of detecting such artifactual concepts can be found by analyzing relationships within neural representations. We validate the EA metric quantitatively, demonstrating its effectiveness both in controlled scenarios and real-world applications. Finally, we provide practical examples from popular Computer Vision models to illustrate that representations identified as outliers using the EA metric often correspond to undesired and spurious concepts.
Pelatihan Pembuatan Jaringan LAN pada Siswa SMK Telkom Kendari

The aim of this civil service is to find out to what extent the students understand the basic topics of cable crimping and network design. This community service provides understanding, understanding, compiling, and using computer network simulation software (packet tracer) as well as training in cable crimping and testing of local area network (LAN) based computer networks. The network simulation community service method used is the experimental and design method, and is carried out in a group, pre-test and post-test design. The results of this community service were carried out in 2 sessions as well as in the supervision of carrying out activities with direct practice and carrying out reflective activities aimed at the level of understanding that the students had after holding the training. This was evident from the treatment of the students in conducting LAN testing practices in the network, where 25 students who completed the exercise were declared successful or 100% capable of conducting local area network tests by 25 students.
Rancang Bangun Aplikasi E-Sertifikat Berbasis Web pada DPK Apindo Kota Cirebon

DPK APINDO Kota Cirebon is an association consisting of Entrepreneurs and or Companies domiciled in Cirebon City. Every member registered with DPK APINDO Kota Cirebon has a certificate as proof that the company has become a member. However, the creation of this membership certificate is still manual so that in the creation of the certificate takes a long time and is inefficient, for that the author tries to make the final task regarding the e-certificate application of membership in DPK APINDO Kota Cirebon. In solving this problem, the author designing the application uses prototype development methods. E-certificate membership application was created based on the website in DPK APINDO Kota Cirebon by using the PHP programming language with mysql as a database and And FPDF is a PHP library that serves as converting PHP syntax into PDF.
ANALISIS KLASIFIKASI ARTIST MUSIC MENGGUNAKAN MODEL REGRESI LOGISTIK BINER DAN ANALISIS DISKRIMINAN

Characteristics of a song are an important aspect that must be kept authentic by a singer. Using the Spotify API feature, we can extract the characteristics or elements of a song sung by a singer. There are eight (8) elements that we can get from the extraction of a song, namely: Danceability, Energy, Loudness, Speechiness, Acousticness, Liveness, Valence, and Tempo. Based on the extraction results, we can label the music artist using the classification analysis method. In this study, the labels are music artists, namely Ariana Grande and Taylor Swift. This study aims to obtain the classification of music artist labels using binary logistic regression methods and discriminant analysis. The response variable used in this study is Artist Music (Y) which is categorized into two categories, namely Ariana Grande (Y=0) and Taylor Swift (Y=1). The data will be divided into training and testing data with the proportion of data 90:10 and 80:20. Based on the results of the analysis, the binary regression model that was built, with the proportion of training testing data that is 90:10 has a classification accuracy for data testing of 90.00%.
A Like ELGAMAL Cryptosystem But Resistant To Post-Quantum Attacks

The Modulo 1 Factoring Problem (M1FP) is an elegant mathematical problem which could be exploited to design safe cryptographic protocols and encryption schemes that resist to post quantum attacks. The ELGAMAL encryption scheme is a well-known and efficient public key algorithm designed by Taher ELGAMAL from discrete logarithm problem. It is always highly used in Internet security and many other applications after a large number of years. However, the imminent arrival of quantum computing threatens the security of ELGAMAL cryptosystem and impose to cryptologists to prepare a resilient algorithm to quantum computer-based attacks. In this paper we will present a like-ELGAMAL cryptosystem based on the M1FP NP-hard problem. This encryption scheme is very simple but efficient and supposed to be resistant to post quantum attacks.
ART AS A SOURCE OF FORMATION ARTISTIC PERSPECTIVE OF PERSONALITY

Art as a source o f forming o f artistic outlook of personality. The article is devoted to artistic development of personality, especially to forming of its artistic outlook. Special attention is paid to abilities of art as the basis of forming of artistic outlook of personality.
The distribution of <i>nafs</i> in modern Standard Arabic and Classical Arabic: a corpus-based study

Purpose This corpus-based study provides a descriptive account of the distribution of the polysemous noun nafs in two Arabic varieties, Modern Standard Arabic (MSA) and Classical Arabic (CA). The research objective is to survey the use of nafs as a reflexive marker in local binding domains and as a self-intensifier in NP-adjoined positions. Design/methodology/approach The consulted corpora are Timespamped JSI Web corpus for MSA and Quran corpus for CA. While attending to corpora size differences, MSA and CA exhibit a pattern of difference and similarity in nafs diffusion. Findings In the modern variety, nafs is pervasively used as reflexive marker in canonical binding domains, along with a less frequent, yet notable, intensifier user, and these uses are partially and cautiously attributed to the specific genre in which they occur. In CA, nafs is mainly recurrent as a polysemous noun, along with extensive use as a reflexive marker in local binding settings. As an intensifier, nafs is totally non-existent in the CA corpus, in the same way as it is in absentia in VP-constituent extraction in MSA. Originality/value Examining whether nafs , as a reflexive marker, deviates from canonical binding in Arabic the way English reflexive pronouns do. Building a general account of this distribution is relevant in understanding the explicit (syntactic) and implicit (discourse-based) dimensions of reflexive marker and self-intensifier processing and interpretation in Arabic as a first and second language.
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context

This tutorial demonstrates workflows to incorporate text data into actuarial classification and regression tasks. The main focus is on methods employing transformer-based models. A dataset of car accident descriptions with an average length of 400 words, available in English and German, and a dataset with short property insurance claims descriptions are used to demonstrate these techniques. The case studies tackle challenges related to a multi-lingual setting and long input sequences. They also show ways to interpret model output, to assess and improve model performance, by fine-tuning the models to the domain of application or to a specific prediction task. Finally, the tutorial provides practical approaches to handle classification tasks in situations with no or only few labeled data, including but not limited to ChatGPT. The results achieved by using the language-understanding skills of off-the-shelf natural language processing (NLP) models with only minimal pre-processing and fine-tuning clearly demonstrate the power of transfer learning for practical applications.
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where it can offer benefits like sample efficiency, better generalization, and robustness to input perturbations. Vector Neurons (VN) is a recently developed framework offering a simple yet effective approach for deriving rotation-equivariant analogs of standard machine learning operations by extending one-dimensional scalar neurons to three-dimensional "vector neurons." We introduce a novel "VN-Transformer" architecture to address several shortcomings of the current VN models. Our contributions are: $(i)$ we derive a rotation-equivariant attention mechanism which eliminates the need for the heavy feature preprocessing required by the original Vector Neurons models; $(ii)$ we extend the VN framework to support non-spatial attributes, expanding the applicability of these models to real-world datasets; $(iii)$ we derive a rotation-equivariant mechanism for multi-scale reduction of point-cloud resolution, greatly speeding up inference and training; $(iv)$ we show that small tradeoffs in equivariance ($\epsilon$-approximate equivariance) can be used to obtain large improvements in numerical stability and training robustness on accelerated hardware, and we bound the propagation of equivariance violations in our models. Finally, we apply our VN-Transformer to 3D shape classification and motion forecasting with compelling results.
THE APPLICATION OF COMPLEX DESCRIPTORS IN SOLVING A SLAM TASK

The actual problem of determining all six coordinates (three linear and three angular) of thecurrent position of a mobile robot (unmanned aerial vehicle) from video rangefinder images of theexternal environment (volumetric colored point clouds) formed by an onboard integrated visionsystem built on the basis of a 3D rangefinder sensor (lidar) and a color video camera while moving(flying) in an unknown environment is considered. An algorithm of video navigation based onthe use of complexed (video-rangefinder) descriptors is proposed, for the description of whichvisual and geometric parameters are used. The rules for the formation of a complex descriptor areformulated, which ensure the allocation of special (central) points of the descriptor using theSobel operator and the calculation of brightness and geometric parameters in its local area. Theaddition of the brightness parameters of the descriptor provided by the video camera with the geometricparameters provided by the rangefinder sensor removes the problem of invariance of thedescriptor to the scale and thereby significantly reduces the complexity of calculations when selectingit. The rules for finding complexed descriptors corresponding to each other in a sequenceof complexed images are described, based on calculating the difference in brightness and geometricparameters of the compared descriptors. The estimation of the error in solving the navigationproblem using the integrated descriptors was performed depending on the error of the sensors ofthe vision system and the geometric dimensions of the descriptor. By constructing histograms ofthe solution of the navigation problem for each coordinate of the control object for all pairs ofdescriptors corresponding to each other, a statistically stable high reliability of the solution of thecomplete navigation problem has been achieved. At the same time, the error in solving the navigationtask turned out to be an order of magnitude smaller than the error in the formation of compleximages by the technical vision system. The use of complex descriptors made it possible, with arelatively small amount of calculations, to solve the complete navigation problem with acceptableaccuracy, which provides a solution to the SLAM problem on the onboard computations at thepace of movement of the control object. The effectiveness of the proposed algorithmic and developedsoftware and hardware is confirmed by field experiments conducted in real conditions ofvarious environments.
Teacher’s Self-regulation in Solving the Problem with Contradiction Information

The teacher's self-regulation in solving problems with contradictory information needs to be investigated because this certainly has an impact on students' self-regulation abilities. However, research related to this is still limited. Problem with Contradiction Information (PWCI) is appropriate to view self-regulation. This research is a case study which involved teachers in East Java, Indonesia and already have an educator certificate. There are 24 teachers as participants of this research, 14 females and 10 males. The objectives of this study describe how the teacher's response when completing PWCI and how the teacher's self-regulation when solving PWCI. Data were collected through tests and interviews. The results show that (1) There are two types of teacher responses in completing PWCI, the first type is the teacher who answers the questions directly without checking the provided information, the second type is the teacher who is thorough and cross-checks before working on the questions, (2) The emergence of self-assessment teacher regulation when completing PWCI is divided into four, namely, teacher self-regulation appears at the stage of understanding, implementing, re-checking and does not appear when completing PWCI. Most of the teachers are not aware of the contradictions in the questions given.
Ten strategies to foster open science in psychology and beyond

The scientific community has long recognized the benefits of open science. Today, governments and research agencies worldwide are increasingly promoting and mandating open practices for scientific research. However, for open science to become the by-default model for scientific research, researchers must perceive open practices as accessible and achievable. A significant obstacle is the lack of resources providing a clear direction on how researchers can integrate open science practices in their day-to-day workflows. This article outlines and discusses ten concrete strategies that can help researchers use and disseminate open science. The first five strategies address basic ways of getting started in open science that researchers can put into practice today. The last five strategies are for researchers who are more advanced in open practices to advocate for open science. Our paper will help researchers navigate the transition to open science practices and support others in shifting toward openness, thus contributing to building a better science.
Pengembangan bahan ajar modul berbasis flipbook pada mata peajaran komputer akuntansi transaksi perusahaan dagang guna mendukung proses pembelajaran peserta didik XII AKL 1 di SMKN 1 Jombang

Development research, whose purpose is to form new products. This research model in the form of 4D development includes Define, Design, Develope, and Disseminate by Thiagarajan, Dorothy S.Semmel &amp;Melvyn I. Sommel. But at the dissemination stage (Dissemination) researchers have limited capabilities when carrying out the spread. Due to time and cost constraints. The subjects of this study include linguists, material experts, and graphicists with the type of method chosen is qualitative and quantitative. Quantitative data in the form of validity sheets that have been scored by validators in the form of percentages and qualitative data in the form of notes based on the product study of the study that is then described for improvement. Research instruments in the form of open and closed questionnaires containing research sheets and validity test sheets from material experts, linguistics, graffiti, and validators. And compiled based on the feasibility of teaching materials by BSNP (2014). Based on the study sheet produces analysis with qualitative descriptive while validation sheet produces analysis with quantitative descriptive. Techniques for data analysis are qualitative and quantitative. Descriptiveikualitative contains analysis sheets to study the stuffing of suggestions and criticisms from expert lecturers as a completeer of flipbook-based modules that have been developed. While descriptive quantitative contains validity sheets from experts. The main purpose of this study is to analyze how the development process and feasibility in this development researchers concluded that the development of flipbook-based module teaching materials in computer subjects accounting transactions of trading companies is declared feasible because it obtained 86%.&#x0D;
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization

We consider the problem of minimizing the sum of two convex functions. One of those functions has Lipschitz-continuous gradients, and can be accessed via stochastic oracles, whereas the other is "simple". We provide a Bregman-type algorithm with accelerated convergence in function values to a ball containing the minimum. The radius of this ball depends on problem-dependent constants, including the variance of the stochastic oracle. We further show that this algorithmic setup naturally leads to a variant of Frank-Wolfe achieving acceleration under parallelization. More precisely, when minimizing a smooth convex function on a bounded domain, we show that one can achieve an $\epsilon$ primal-dual gap (in expectation) in $\tilde{O}(1/ \sqrt{\epsilon})$ iterations, by only accessing gradients of the original function and a linear maximization oracle with $O(1/\sqrt{\epsilon})$ computing units in parallel. We illustrate this fast convergence on synthetic numerical experiments.
"Memory and forgetting: for a rediscovery of the Romanesco in Giggi Zanazzo’s Poesie"

Memory and forgetting: for a rediscovery of the Romanesco in Giggi Zanazzo's Poesie).The report aims to offer a linguistic analysis on two interesting aspects of the Poesie romanesche by Giggi Zanazzo; in particular, the author bases her observations on a new edition, unlike what was done previously.First of all, the author shows how she created this new edition.Finally, she analyzes the evolution of two innovative phenomena in Romanesco, the dialect of Rome: the development of vibrating consonant's degemination, after she has collected data and observations on this development in Zanazzo's editions; at last she talks about a backdating of a very important trait, dovere da + INF.
Penerapan Metode Joint Application Design (JAD) dalam Pengembangan Sistem Informasi Penjualan Jaket Hoodie Berbasis Website

An effective sales system in a company requires an innovation and novelty in building a system that can help companies reach all market segments and society. Because the company's business activities still apply offline sales methods, namely coming directly to the store, viewing products and paying in cash. To meet the needs of the company and its customers, this company requires a web-based or online system for sales and customer data storage purposes. The programming language used is the PHP language using the CodeIgniter framework and MySQL as the database. The results of the research and the results of the output of this system will produce a website-based information system for selling jackets or clothes that can be used by the company or jacket shop to meet the needs of selling Hoodie Jackets from every consumer quickly and accurately, and is expected to assist in perform category searches by size, product orders, and digital payments for products.