Reviewerly/exHarmony huggingface dataset:
Fuzzy logic controller algorithm for placing files in a data storage system

The problem of organizing multi-level data storage is discussed. Information loses its relevance over time and the cost of storing it on highly available media, such as solid-state drives, becomes impractical. Until now, the placement of new files in the data storage system is decided horizontally — without taking into account the multi-level organization of the system. The file migration between storage system tiers occurs over time as statistics on the frequency of requested files are accumulated. All files have metadata, such as type, size, creation date and others, from which some information about the importance of the information can be extracted and then the distribution by levels of the data storage system can be implemented at the system input. A modern data storage system represented by four levels is proposed. The first Hi-End level is intended for storing critical data with the requirements of maximum access speed and reliability. The second level, Upper Mid-Range, is intended for enterprise applications that require high access speeds. The third level, Mid-Range, is proposed to be used for organizing file storage, and the fourth, Entry Level, is proposed to be used for creating backup copies and archives. The proposed algorithm for arranging files across tiers of a data storage system takes into account metrics indicating storage requirements and selecting a level of a data storage system that meets the requirements. These metrics include availability (speed of information delivery), importance (cost of data loss due to hardware and software failures), retention period, and request frequency. Metrics are extracted from the metadata of saved files. A new solution based on the functions of a fuzzy logic controller is proposed. Its operation algorithm can be integrated into the data storage system before the process of writing a new file. The algorithm includes three main steps. At the first step, file metrics are analyzed to form the corresponding input fuzzy sets. At the second step, a logical model is used to form the final fuzzy set. At the final stage, the fuzzy output result is obtained and the file is placed at the appropriate level of the data storage system. An example of how the controller works for files with different values of metric characteristics is given. A fuzzy logic controller can be integrated into the operation of a multi-level data storage system.
PENGENALAN KOSAKATA BAHASA INGGRIS MENGGUNAKAN MEDIA VIDEO KEPADA ANAK-ANAK KELAS 2 DI SEKOLAH DASAR BUDI MULIA

Mastery of English vocabulary is very important in preparing the younger generation to face future challenges. This research investigates the efficacy of using video media, especially animation, as an innovative learning tool for teaching English vocabulary to children. Previous research has shown that video media, including animation, significantly helps children understand and retain English vocabulary. Considering the optimal learning conditions for elementary school students, which are characterized by fun games and experiences, the use of video media is expected to create an interesting learning environment and increase student interest. This research uses a qualitative approach that combines participant observation and documentation. These findings underline the positive impact of video media, especially animation, on English vocabulary acquisition. Challenges such as limited time and teachers' unfamiliarity with using video media are also known. This research determines the influence of teacher motivation factors, parental support, and student activity in the learning process. Furthermore, this research not only highlights the role of video media in teaching English vocabulary but also explores strategies to improve children's learning outcomes and overcome learning barriers.
Kripke models for intuitionistic propositional logic

In this paper, we introduce Kripke models for intuitionistic propositional logic showing how these models enable us to understand the intuitionistic point of view to mathematical objects. In addition, we discuss their basic properties and give some applications of them reflecting their importance for intuitionistic propositional logic
New Codes Arising from Complete (k, n)- arcs in PG(3,17)

The main aim of this work is to find new codes arising from construct a complete (k , n) – arcs in PG( 3,17), when n = 3,4,5 we take the union of some (k,n) – arcs. Furhtermore, when n = 6,7,8,…,307 by using matlab19B program (1) to found all construct a complete ( k , n + 1) - arcs from complete (k , n) - arcs. We start with points index zero and unit point, which we call the basic points of table (points and planes), then we start adding points from the remaining points of install the points of the first arc until we get intersections through which deleted all points of the plane , then we repeat that method until we get the maximum complete (5220 ; 307) - arcs. Then we find the [k, n, d] q-code of each a complete (k , n) - arcs .
L’endecasillabo nelle poesie di Vittorio Sereni. Gli strumenti umani e Stella Variabile

The contribution declines the theme of rubble at a formal level, analysing the persistence of the hendecasyllable in Vittorio Sereni’s last two books, Gli strumenti umani (1965) and Stella variabile (1981). The hendecasyllable can be seen, in fact, as the key element of a system that undergoes a crisis at the beginning of the 20th century and is radically renewed in the middle of the century. The first part of the article summarises three different interpretations of the endecasyllable, to provide a historical context for Sereni’s writing. Mario Luzi and the Neo-avant-garde (represented by the essay Il verso secondo l’orecchio by Alfredo Giuliani) are in specular oppositions: the former argues in favour of the consubstantiality of the hendecasyllable to the Italian language, resorting to it as a guarantee of formal order; the others, on the contrary, declare the end of traditional verse, and see the hendecasyllable as a poison, an element against which to rebel. Giorgio Caproni’s interpretation at the height of the mid-1950s is equally historicist and formulated in a positive sense as in Luzi: the poet finds safety in the metrical «roof» that can contain the risk of private and collective dissolution. Vittorio Sereni, on the other hand, already with his first two collections Frontiera (1941) and Diario d’Algeria (1947), but above all with the turning point marked in the mid Sixties by Gli strumenti umani (1965), opens up the rhythmic structure of the hendecasyllable, focusing on unconventional rhythmic profiles and above all bending it to the movements of his own voice (rhetorical-argumentative stylistic features) and to those of inner speech – in short, he works towards a greater subjectivation of the metre. The second and third parts of the article focus first on two texts emblematic of the style of Strumenti umani and Stella variabile, and then extend the analysis to some specific traits of Sereni’s stylistic evolution from one book to the next, describing and interpreting concrete phenomena in the reuse of the hendecasyllable.
IDENTIFICATION OF PHISHING URLS AND WEBSITES USING ML

The internet has become an essential part of our lives. The rise of the internet also opens opportunities to various scams and malicious activities like phishing. Phishing attacks are the practice of sending fraudulent communications that appear to come from a reputable source. Phishers try to deceive their victims by social engineering and creating mockup websites to steal information such as account ID, username, password from individuals and organizations. The identification process encompasses various techniques, including scrutinizing URLs for misspellings, inspecting SSL certificates for secure connections, analyzing website design and content quality, and avoiding unsolicited emails or pop-up windows requesting personal data. Many methods have been proposed to detect phishing websites and URLS yet the phishers have evolved their methodology and have managed to escape from these detection methods. One of the most successful methods for detecting these malicious activities is Machine Learning. This is because most Phishing attacks have some common characteristics which can be identified by machine learning methods. These systems exhibit the capability to adapt to emerging phishing tactics and work efficiently. The proposed approach employs various comparative analyses to select the most efficient algorithm. The anticipated outcome is an effective and adaptable ML-based phishing URL detection system, contributing to the ongoing efforts in safeguarding users from cyber threats. Keywords: Phishing, Cybersquatting, Typosquatting, Gradient boosting algorithm, random forest classifier, CatBoost classifier
Selenium DevTools

Google Chrome’s DevTools make use of a protocol called the Chrome DevTools Protocol (abbreviated as CDP) for developers to debug web apps and analyze the performance of web pages. As the name suggests, CDP is not designed for testing. Additionally, the stability of its API can vary, as its capabilities are closely tied to the specific version of the Chrome browser in use.
Locating Web Elements

As you may have already figured out, to drive an element in a page, you need to find it first. Selenium uses locators to find and match elements on web page. There are eight locators in Selenium, shown in Table 2-1.
Navigation and Browser

In Chapters 2 to 8, we covered driving common web controls. In this chapter, we will show you how to manage browser windows and page navigation in them.
Browser Profile and Capabilities

Selenium can start browser instances with various profile preferences, which can be quite useful. Obviously, some preference settings are browser-specific, so you might take some time to explore. This chapter will cover some common usages.
Defining the Future: The Role of Blockchain Technology in Monitoring International Aid Funds

This article presents an in-depth analysis of blockchain technology's role in international aid fund management. The authors outline a conceptual framework illustrating how blockchain can be applied to improve aid monitoring systems, focusing on critical aspects such as transparency, recipient identification, and automation of fund distribution. We also discuss the ethical, security, and technology readiness challenges that may be faced in blockchain implementation. This article provides in-depth insight into how blockchain technology can address existing problems in international aid fund management by detailing concrete case studies and describing the research methods used. Research findings show that blockchain implementation has succeeded in increasing transparency, speeding up the distribution process, and optimising the use of aid funds. The article's result underscores the importance of continuing to pay attention to ethical, security, and inclusivity considerations while developing and implementing these technologies. By taking a holistic approach, using blockchain to monitor international aid funds can bring about significant positive change, increase efficiency, and support global development goals.
Grammatical Error Made By Students in Speaking English

Purpose: In today's world English is by far the most important language than any other and more spoken than it ever has been. English speaking plays a vital role in every human's life as it means to express ideas thoughts and feelings. This study is aimed to reveal the types of grammatical error and the cause of errors made by students while speaking English. Communication in English as a second language with the right use of grammar is not an easy task because a learner has to deal with so many problems to overcome and improve grammar.&#x0D; Methodology: So it is important to classify and describe the various grammatical error to build a standardized structure for students to use and to know the rules of grammar.&#x0D; Findings: The student highest grammatical errors were omission, misinformation. The Interlingua factors were misinformation and overuse of prepositions and incorrect word order which were based on their first language L1 transfer. Lastly, the last cause was the monotonous learning environment that cause anxiety which lack student confidence and they commit error in speaking.&#x0D; Unique contributor to theory, policy and practice: Therefore, the present study aimed to examine grammatical errors made by students in speaking A quantitative method paradigm was applied utilizing questionnaire as a tool to collect data. The participants of the research are the students of BS all department of a private university. This method uses to analyze the data through purposive sampling. The study reveals the grammatical error that student strategies to a great extent and will focus on speaking, grammar and vocabulary.
HAND GESTURE RECOGNITION

Continuous and dynamic gesture recognition is a vital research area that aims to develop systems capable of interpreting and understanding hand gestures involving continuous motion and temporal dynamics. This project focuses on addressing the challenges associated with recognizing and analyzing gestures that go beyond static poses. By leveraging techniques such as temporal modeling, motion analysis, and deep learning, the goal is to develop algorithms and models that can robustly track and interpret the fluidity and expressiveness of human hand movements. The project aims to enhance the understanding of gesture sequencing, timing, and smooth transitions between different poses and gestures. The research outcomes will contribute to the advancement of intuitive human-computer interaction, enabling users to express themselves more naturally and seamlessly in applications such as virtual reality, gaming, and humanrobot interaction. Through the use of relevant datasets and advanced algorithms, this project seeks to explore novel approaches in continuous and dynamic gesture recognition and pave the way for future advancements in this field
PROVIDING A LEGAL DEFINITION FOR CYBERBULLYING IN SOUTH AFRICA

Traditional bullying is not a new phenomenon, and this behaviour has plagued many countries. It has received a wide interpretation by many academics seeking to define this concept. Bullying itself may take various forms and it has developed and adapted to changing times throughout history. One such adaptation arose owing to the expansion of the Internet – in the form of online bullying or cyberbullying. Although bullying has been given various definitions, cyberbullying in South Africa has not been given a legal definition, and perpetrators are therefore not disciplined in the appropriate manner. Introducing a legal definition would assist law enforcement to regulate cyberbullying and protect victims from harm. Advances in technology have created many opportunities for people to communicate across the world. At the same time, they have also created unintended consequences, such as allowing online users to harm each other. Although bullying has existed for a long time, the threat of cyberbullying online is arguably worse than its traditional counterpart. Scholars have attempted to provide definitions of cyberbullying. However, there is confusion and there are contradictory views regarding the characteristics of this conduct. Recommendations are made on what the requirements should be for a legal definition of cyberbullying. A comparative analysis of the United States and Canada is relied upon to establish clarity on this conduct.
Multiple general sigmoids based Banach space valued neural network multivariate approximation

Here we present multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or \(\mathbb{R}^{N},\) \(N\in \mathbb{N}\), by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature type neural network operators. We treat also the case of approximation by iterated operators of the last four types. These approximations are derived by establishing multidimensional Jackson type inequalities involving the multivariate modulus of continuity of the engaged function or its high order Fréchet derivatives. Our multivariate operators are defined by using a multidimensional density function induced by several different among themselves general sigmoid functions. This is done on the purpose to activate as many as possible neurons. The approximations are pointwise and uniform. The related feed-forward neural network is with one hidden layer. We finish with related \(L_{p}\) approximations.
ELECTRONIC PERSONS IN CONTRACTS

Contemporary technological developments have already progressed far beyond the electronic and digital transactions recognised under the Electronic Communications and Transactions Act 25 of 2002 (ECTA). Internationally, there are calls for the regulation not only of robots and artificial intelligence (AI) but also of sophisticated automated electronic systems and AI that now have the capability to make self-sustainable decisions and exhibit human characteristics (conceptually referred to as electronic persons). The growing legal debate is whether such systems should be afforded equal (or similar) legal status to human beings and thereby have rights and be responsible for duties – that is, be afforded the mantle of legal personhood. Alternatively, should a different liability regime apply to these systems, their operators and creators? Europe has suggested both approaches. First, in 2016, the European Parliament’s Committee on Legal Affairs included recommendations to the Commission on Civil Law Rules on Robotics that suggested that electronic persons should in the future be recognised as entities having legal status and legal personality. Secondly, in 2020, the European Parliament made recommendations to the Commission on a Civil Liability Regime for Artificial Intelligence, which proposed liability structures for these systems, their operators and creators. If legal recognition were afforded, as initially suggested in 2016, this would constitute something fundamentally different from juristic persons and would have a direct influence on the way contracts are concluded and their consequences. This article explores the concepts of legal status and personality from the perspective of recognised contractual parties (natural and juristic persons), as well as that of a conceptual electronic person, which may manifest itself as either a passive electronic person (more akin to a useful tool and currently recognised under ECTA) or as a sophisticated electronic person (more akin to human-like technology). In doing so, the article explores possible liability structures that could apply to electronic persons in the South African legal framework and concludes that there is a need to update ECTA (and other legislative instruments) so as to recognise and regulate sophisticated automated systems and electronic persons. A failure to do so may mean South Africa is left behind in the wake of technological developments, and may hamper future contractual engagements.
EXPLORING DEEP SPECTRAL AND TEMPORAL FEATURE REPRESENTATIONS WITH ATTENTION-BASED NEURAL NETWORK ARCHITECTURES FOR ACCENTED MALAYALAM SPEECH- A LOW-RESOURCED LANGUAGE

Constructing an Accented Automatic Speech Recognition (AASR) system for a language is a challenging endeavor due to variations in pronunciation, intonation, and rhythm. This study proposes a novel approach to AASR for Malayalam speech, employing Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and BiDirectional Long Short-Term Memory (BiLSTM) architectures, each incorporating an attention block.To conduct the study, the authors assembled an accented speech corpus containing samples from five different accents in Malayalam. The research was carried out in six distinct phases, involving different combinations of features and model architectures. In the initial phase, Mel Frequency Cepstral Coefficients (MFCC) were used for feature vectorization, while RNN was employed for modeling the accented speech data. This phase resulted in a Word Error Rate (WER) of 11.98% and a Match Error Rate (MER) of 76.03%.The second phase employed MFCC and tempogram methods for feature vectorization, combining them with RNN and an attention mechanism for constructing a unified model for the accented data. This phase achieved a WER of 7.98% and an MER of 82.31%. In the third phase, MFCC and Tempogram feature vectors were utilized with LSTM for modeling the accented data, resulting in a WER of 8.95% and an MER of 83.64%.The fourth phase used the same feature set as phases two and three, incorporating LSTM with attention mechanisms for constructing the accented model. This phase yielded a WER of 3.8% and an MER of 87.11%. The fifth and sixth phases utilized BiLSTM and BiLSTM with attention mechanisms, respectively, while maintaining the same feature set. These phases achieved WERs of 3.5% and 3.25% and MERs of 90.12% and 92.25%, respectively.The experiments demonstrate that the BiLSTM with attention mechanism architecture, incorporating appropriate accent attributes, performed well even for unknown accents. Performance evaluation using WER and MER indicated a reduction of 50% to 65% when employing attention mechanisms with RNN, LSTM, and BiLSTM approaches.
BIDAK BACA: MEDIA PEMBELAJARAN INTERAKTIF BERMUATAN KEARIFAN LOKAL UNTUK MENINGKATKAN KEMAMPUAN MEMBACA

Initial reading ability level at SD Inpress 38 Matawolot Kab. Sorong is still quite low. An alternative solution to improve initial reading skills is to develop educational reading media containing local wisdom. This research uses quantitative methods. Based on the ADDIE model development method (Analysis, Design, Development, Implementation, Evaluation). This research was conducted at SD Inpress 38 Matawolot District. Shove. With a total of 19 students. Data collection techniques in this research are observation, interviews and documentation techniques. Data was collected through validation sheets from material experts, media experts, language experts, and teacher responses. The results of testing the effectiveness of reading learning media have proven to be able to improve the learning outcomes of class 1 students. This can be explained by the N-gain score of 0.4 which is included in the medium category, namely in the range 0.3 – 0.7. The results of this research show that the reading media educational media containing local wisdom is very valid and practical for use in initial reading learning at SD Inpress 38 Matawolot District Sorong.
The Future of Digital Cytology and Artificial Intelligence An Editorial Commentary for Digital Cytology Part 1 and 2

• The Digital Cytology Part 1 and 2 by Li et al will address an important gap for cytology since the updated guideline from CAP for validation of digital pathology in 2021. The timely introduction of this guidance from the ASC digital cytology task force perspective will guide the subspecialty through on the ongoing rapid changes to technology, policy, patient care, education, and business environment. However, we advocate for additional improvements in areas such as the standardization of cytology practices, guidance on Z-stacks, and AI algorithm change control to be addressed in the near future.