Reviewerly/exHarmony huggingface dataset:
Arabic Text Categorization Algorithm Using Vector Space Model

Text categorization is one of the most important jobs in knowledge retrieval and data mining. This study seeks to investigate several vector space model (VSMs) variants using the K-Nearest Neighbor algorithm (k-NN) method. 242 abstract Arabic documents that they used was utilized in this paper. The comparison is often based on well-known text assessment metrics, recall calculation, precision measurement, and measurement F1. Cosine outperformed in tests conducted on Saudi data sets, according to the results.
The New Era of Business Transformation with Blockchain Technology

The current condition of data creation, capture, and storage methods has changed as a result of the advancement of modern technologies. Blockchain technology has started to ensnare many companies in the domains of banking, governance, healthcare, supply chains, and cyber security because of its potential to greatly increase security. The primary goals of the research study were to examine the key blockchain platforms and applications. It also explored the benefits and drawbacks of blockchain technology in the context of modern business. This research is conceptual in nature and is predicated on an analysis of many studies. This study identifies the broad applications of blockchain technology in the banking and insurance sectors, government agencies, supply chain management, healthcare, and farming and fishing. The key benefits of blockchain technology are enhanced security and privacy, decentralisation, fraud control, quality assurance, traceability, efficiency, peer-to-peer global transactions, and instant settlements
Pengaruh Pemanfaatan Sumber Belajar Terhadap Motivasi Belajar Siswa Kelas XI SMA Negeri 1 Batudaa Pantai Kabupaten Gorontalo

This research aims to determine the effect of using learning resources on the learning motivation of grade XI students of SMA Negeri 1 Batudaa Pantai, Gorontalo regerncy. This research employs a quantitative method with an associative approach. The data used in this research is primary data obtained from the distribution of questionners to grade XI student of SMA Negeri 1 Batudaa Pantai. The total samples in this research are 56 respondents. The data analysis techniqueemploys simpel linear regresision. The results indicate the effect of using learning resources on students motivation at SMA Negeri 1 Batudaa Pantai Kabupaten Gorontalo Regerncy. The mangnitude of the effect of using learning resources on learning motivation 63,2%, while the reamning 36,8% is influenced by other variables not examined in this research
Pengembangan Kewirausahaan Ecoprint Berbasis Smart Steamer Machine Guna Meningkatkan Kualitas Produk dan Efisiensi

Ecoprint, a fabric printing and dyeing technique utilizing natural dyes with leaves, is currently experiencing a surge in demand and becoming a trend among fashion entrepreneurs and textile craftsmen. The unique patterns created from leaves distinguish ecoprint from traditional batik designs in the market, making it highly appealing. Apietz Craft, a Small and Medium Enterprise (SME), was established at the beginning of 2020 during the Covid-19 pandemic. Mostly operated by residents of Jl. Hasyim Ashari II, Sepanjang Village, Gondanglegi District, Malang Regency, the business faced challenges during the ecoprint fabric steaming process. The issues stemmed from the small size of the steaming pot and the lack of temperature control, leading to a decline in fabric quality. These obstacles hindered the ecoprint production process, resulting in suboptimal outcomes. In response to these challenges, this PKM program proposes a solution by introducing a technology transfer initiative. A smart steamer machine will be implemented, designed to accommodate a larger capacity and capable of monitoring temperature within the machine. This advancement aims to enhance production quality and improve production efficiency. The initiative is expected to address the current issues faced by our partner, enabling them to achieve optimal ecoprint fabric production.&#x0D; Keywords: Smart Steamer Machine, Ecoprint, Development Entrepreneurship
A STUDY ON DIFFICULTIES IN PARTS THREE AND FOUR OF THE END OF COURSE ORAL TEST FACED BY FIRST YEAR STUDENTS AND SOME SOLUTIONS

Nowadays, English is the most popular language in many countries all over the&#x0D; world. It is used as an official language in many fields such as economics,&#x0D; politics, science, technology, sports, entertainment and many others.&#x0D; Moreover, it has also become a compulsory subject in the curriculum of many&#x0D; worldwide schools, colleges and universities. However, it is not easy to study&#x0D; and employ a foreign language. Particularly, in all four basic language skills,&#x0D; Speaking skill can be considered to be a significant one which requires&#x0D; learners to spend very much time learning and practising and most students&#x0D; face difficulties when presenting their ideas as well as expressing opinions in&#x0D; English, especially in the End of Course Oral test. This research therefore aims&#x0D; at studying the first-year English-majored student‟s problems in taking part in&#x0D; Part three and Part four in the End of Course Oral test at University of Foreign&#x0D; Language Studies - The University of Danang. This study also tries to find out&#x0D; the useful strategies to help first-year students to overcome these issues. The&#x0D; sample of the study consisted of 100 students at Faculty of English, University&#x0D; of Foreign Language Studies - The University of Danang. The research uses&#x0D; questionnaires, interviews and documents related to the issue as the tools of&#x0D; data collection in order to analyse difficulties and problems encountered when&#x0D; students take part in Parts three and four in the End of Course Oral test of the&#x0D; first-year students, Faculty of English, University of Foreign Language Studies&#x0D; - The University of Danang. The results of this study revealed that the&#x0D; students at Faculty of English, UFL - UDN face many problems related to the&#x0D; End of Course Oral test of English Integrated Skills B1.2, particularly Part 3&#x0D; and Part 4 such as Lack of Vocabulary, Lack of Grammar, Lack of Coherence&#x0D; and Fluency, Poor Pronunciation, Insufficient knowledge or experience on&#x0D; some topics, Poor Communication skills in English, Poor analytical and problem&#x0D; solving skills and Lack of Confidence when Speaking. This study also&#x0D; presented some of appropriate solutions for students to overcome these&#x0D; difficulties in the End of Course Oral test and improve the weakness in&#x0D; Speaking skill such as practicing speaking English inside and outside the&#x0D; classroom effectively, using the modern social media to communicate in&#x0D; English.
RLCS: A Classification System Based on Random Forest and Logistic Regression for Hybrid Zero-day Traffic

Traffic classification has attracted public attention for a long time because of its essential role in network management. However, the presence of zero-day traffic, network traffic generated by previously unknown applications, leads to a significant reduction in the practicability and effectiveness of conventional traffic classification schemes. This poster innovatively proposes a traffic classification scheme named RLCS to accomplish the high accurate traffic classification task in hybrid zero-day traffic. The evaluations with real-world traffic verify the effectiveness and broad applicability of RLCS.
Reducing Network Traffic Storage Overhead: A Hardware-Accelerated Lossless Data Compression System

Skyrocketing network traffic volume brings significant overhead of traffic storage. We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. The prototype evaluation validates the excellent resource efficiency and performance scalability of our traffic compression system.
Pewarnaan Titik Ketakteraturan Lokal pada Hasil Operasi Amalgamasi Titik Graf Lintasan

Definition of graph is set pair (𝑉(𝐺),𝐸(𝐺)) where 𝑉(𝐺) is vertex set and 𝐸(𝐺) is edge set. A maping 𝐼 : 𝑉(𝐺)→{1,2, … ,𝑘} as label function and weight function 𝑤 : 𝑉(𝐺)→𝑁 is desined as 𝑤(𝑢)=Σ𝑣∈𝑁(𝑢)𝑙(𝑣). The function 𝑤 is called local irregularity vertex coloring if: (i) 𝑜𝑝𝑡(𝑙)=𝑚𝑖𝑛 (𝑚𝑎𝑘𝑠 (𝑙𝑖) ;𝑙𝑖 𝑖𝑠 𝑙𝑎𝑏𝑒𝑙 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛) and (ii) for every 𝑢𝑣 ∈ 𝐸(𝐺),𝑤(𝑢) ≠ 𝑤(𝑣). The chromatic number of local irregularity vertex coloring denoted by 𝜒𝑙𝑖𝑠(𝐺) is defined as 𝜒𝑙𝑖𝑠(𝐺)=𝑚𝑖𝑛{|𝑤(𝑉(𝐺))|;𝑤 𝑖𝑠 𝑙𝑜𝑐𝑎𝑙 𝑖𝑟𝑟𝑒𝑔𝑢𝑙𝑎𝑟𝑖𝑡𝑦 𝑣𝑒𝑟𝑡𝑒𝑥 𝑐𝑜𝑙𝑜𝑟𝑖𝑛𝑔}. The method used in this paper is pattern recognition and axiomatic deductive method. In this paper, we learn local irregularity vertex coloring of vertex amalgamation of path graph and determine the chromatic number on local irregularity vertex coloring of vertex amalgamation of path graph. This paper use vertex amalgamation of path graph (𝑎𝑚𝑎𝑙(𝑃𝑛 ,𝑣,𝑚)). The result of this study are expected to be used as basic studies and science development as well as applications related to local irregularity vertex coloring of vertex amalgamation of path graph.
The effect of the classical driving field on the dynamics of entanglement of two qubits interacting with two dissipative cavities

In this article, we first introduce a system consisting of two dissipative cavities, in each of which there is a two-level atom. Each of the atoms is under the influence of a classical laser field, which causes the displacement of their energy levels. The correlation between two cavities is given by the field-field interaction term. We use the Gardiner-Collet model to describe the dissipation in this research. After introducing the Hamiltonian of the system, we simplify the Hamiltonian by using the Fano technique and introducing two sets of new operators. Also, with introducing the atomic bare bases, the Hamiltonian of the system will become a solvable form. Then, by using the technique of Laplace transforms, we solve the time-dependent Schrödinger equation and find the explicit form of the system's wave function at every moment of time. Having the wave function of the atom-atom system and using the concurrence criterion, we investigate the entanglement dynamics of the system in two strong and weak interaction regimes corresponding to the non-Markovian and Markovian regimes. The results show that there will be no stable state of entanglement in this system. We will also show that the classical laser field will play a constructive role in maintaining the initial entanglement as well as the generated entanglement.
Penggunaan Aplikasi Animaker pada Mata Pelajaran Pendidikan Agama Islam Kelas III SD Negeri 07 Sintuk Toboh Gadang

Media is something that cannot be separated from a learning process. When using media, there needs to be variety so that students do not get bored. This research aims to prove that using Animaker media as a medium in learning can produce animated video works that are easy to understand and interesting for students and can be used as teaching materials that are effective for use in the learning process. This research is a quasi-experiment (one group pretest-posttest design). The main instrument in the researcher's own research was carried out to test the validity and effectiveness of the learning videos used, validity trials were carried out using questionnaires, questionnaires were given to respondents and then analyzed by the researcher, as well as the results of student tests which were carried out using pretest and posttest then The participants' pretest and posttest results were taught for analysis by the researcher in tabular form. The subjects of this research were class III students at SDN 07 Sntuk Toboh Gadang, totaling 20 students. Based on the results of data analysis, the results obtained were 1) the average score from the pretest test results with a percentage of 59.6% which was included in the "sufficient" category; 2) the average score from the posttest results with a percentage of 76% which is included in the "good/decent" category; 3) the average score from the results of using a questionnaire to measure the level of effectiveness of the application used with a percentage of 95.375% which is included in the "very feasible" category.
Adaptive Security: Certificate and Key Rotation for Firmware Integrity

This paper provides an overview of several device architectures that allow for key rotation. Key rotation is important due to the frequency of lost signing keys, but it is difficult for Industrial Internet of Things (IIOT) devices due to limited resources during a secure boot process and the constraints of the firmware utilities that come from the chip vendors. The intent of this paper is to provide a practitioner’s perspective on this challenge and the tradeoff in hopes of inviting comments from chip vendors and the broader community.
Improving graphics processing unit performance based on neural network direct memory access controller

In this paper proposes the design and implementation of the back propagation algorithm based neural network DMA (Direct Memory Access) Controller for use of multimedia applications. The proposed DMA controller work with the back propagation-training algorithm. The advantages of the back propagation algorithm it will be work on the gradient loss w.r.t the network weights. So this back propagation algorithm is used as training algorithm for the DMA controller. The proposed method is test with the different workload characteristics like heavy workload, medium workload and normal workload. The performance parameters are considered here is like accuracy, precision, recall and F1 score etc. The proposed method is compared with existing methods like CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), LSTM (Long Sort term Memory) and GRU (Gated Recurrent Unit) etc. Finally, the proposed design will give the better performance than existing methods.
Reasoning in DL-$$Lite_R$$ Based Knowledge Base Under Category Semantics

We propose in this paper a rewriting of the usual set-theoretical semantics of the Description Logic DL- $$Lite_{\mathcal {R}}$$ by using categorical language based on objects and arrows which are the two fundamental elements of category theory. This Description Logic is showed to be useful for extending a relational database (ABox) with an ontology (TBox) for answering conjunctive queries over such an extended database. Based on this rewriting, we define category-theoretical satisfiability of a DL- $$Lite_{\mathcal {R}}$$ knowledge base and show that a DL- $$Lite_{\mathcal {R}}$$ knowledge base is set-theoreticallly satisfiable iff it is category-theoretically satisfiable. We also introduce a tractable algorithm for checking category-theoretical satisfiability. The simplicity of the construction of such an algorithm shows the power of categorical language in comparison with existing algorithms based on the construction of a model.
Enhancing Accessibility with LSTM-Based Sign Language Detection

Sign language serves as a vital means of communication for the deaf and hard of hearing community. However, identifying sign language poses a significant challenge due to its complexity and the lack of a standardized global framework. Recent advances in machine learning, particularly Long Short-Term Memory (LSTM) algorithms, offer promise in the field of sign language gesture recognition. This research introduces an innovative method that leverages LSTM, a type of recurrent neural network designed for processing sequential input. Our goal is to create a highly accurate system capable of anticipating and reproducing sign language motions with precision. LSTM's unique capabilities enhance the recognition of complex gestures by capturing the temporal relationships and fine details inherent in sign language. The results of this study demonstrate that LSTM-based approaches outperform existing state-of-the-art techniques, highlighting the effectiveness of LSTM in sign language recognition and their potential to facilitate communication between the deaf and hearing communities.
Individuality and the collective in AI agents: Explorations of shared consciousness and digital homunculi in the metaverse for cultural heritage

&lt;p class="a"&gt;The confluence of extended reality (XR) technologies, including augmented and virtual reality, with large language models (LLM) marks a significant advancement in the field of digital humanities, opening uncharted avenues for the representation of cultural heritage within the burgeoning metaverse. This paper undertakes an examination of the potentialities and intricacies of such a convergence, focusing particularly on the creation of digital homunculi or changelings. These virtual beings, remarkable for their sentience and individuality, are also part of a collective consciousness, a notion explored through a thematic comparison in science fiction with the Borg and the Changelings in the Star Trek universe. Such a comparison offers a metaphorical framework for discussing complex phenomena such as shared consciousness and individuality, illuminating their bearing on perceptions of self and awareness. Further, the paper considers the ethical implications of these concepts, including potential loss of individuality and the challenges inherent to accurate representation of historical figures and cultures. The latter necessitates collaboration with cultural experts, underscoring the intersectionality of technological innovation and cultural sensitivity. Ultimately, this chapter contributes to a deeper understanding of the technical aspects of integrating large language models with immersive technologies and situates these developments within a nuanced cultural and ethical discourse. By offering a comprehensive overview and proposing clear recommendations, the paper lays the groundwork for future research and development in the application of these technologies within the unique context of cultural heritage representation in the metaverse.&lt;/p&gt;
Evaluation approaches of personal knowledge graphs

Knowledge graphs (KGs) provide structured data for users&apos; applications such as recommendation systems, personal assistants, and question-answering systems. The quality of the underlying applications relies deeply on the quality of the knowledge graph. However, KGs inevitably have inconsistencies, such as duplicates, wrong assertions, and missing values. The presence of such issues may compromise the outcome of business intelligence applications. Hence, it is crucial and necessary to explore efficient and effective methods for tackling the evaluation of KGs. These techniques get much tougher when the KG deals with personal data, which is referred to as Personal Knowledge Graph (PKG). This chapter covers PKG&apos;s creation, population, and more importantly their evaluation from a data quality perspective.
(PENGARUH PEMBELAJARAN OUTING CLASS PADA MERDEKA BELAJAR UNTUK MENINGKATKAN KETERAMPILAN MENULIS KARANGAN DESKRIPSI SISWA MATA PELAJARAN BAHASA INDONESIA KELAS V SD INPRES TAMALATEA KABUPATEN GOWA)

This research is research related to the influence of outing class learning on independent learning to improve students' descriptive essay writing skills in class V of SD Inpres Tamalatea, Gowa Regency. The aim of this research is to describe student learning outcomes and determine the influence of out-of-class learning methods on the descriptive essay writing skills of class V students at SD Inpres Tamalatea. This research used a one group pretest-posttest design research design with a population of all class V students at SD Inpres Tamalatea where the sampling technique used was a saturated sampling technique. The research instruments used were descriptive essay writing skills tests and observation sheets. The data analysis technique used is descriptive statistics and inferential statistics using the t-test. The results of this research show that before learning was implemented outside of grade 12, students had low descriptive essay writing skills with scores that were still below the KKM with insufficient qualifications. After being given treatment, the students' skills and grades increased until they were above the KKM score with Very Good Category Qualifications. Based on the research results, it shows that the alternative hypothesis (Ha) is accepted. At a significance level of 5%, the t_table value is 2.201, so when compared with the calculated t_value of 30.08, the null hypothesis (H_0) is rejected. This means that the learning method outside the classroom (outing class) has an effect on improving students' descriptive essay writing skills at a significance level of 5%.
Personalized recommender systems based on knowledge graphs

The importance of personalized knowledge graphs (PKGs) cannot be understated as they are applied across various spheres of our lives where they continuously had a positive impact. PKGs are a form of knowledge graphs that have completely changed the way item recommendations are made by introducing explainable recommendations, and alleviating the cold-start and data sparsity issues which are common in the traditional recommender systems. These heterogeneous graphs contain connectivity patterns and semantic relations which can be exploited for quality recommendations. This chapter focuses on explaining how PKGs can be used to recommend items to users when faced with a large variety of items to select from. Methods can be used for the implementation of accurate and explainable recommendations via PKGs such as embeddings and structure-based methods and are presented as well as the challenges and limitations entailed in applications development using this technology. The application of PKG recommendations in commerce and finance, Internet of Things (IoT), and healthcare are used to demonstrate its utility and competitive performance. In order to appreciate the importance of PKG recommendation systems, an example application of PKG recommendation in the field of personalized badminton training is also presented.
Distribution dynamics of fisher and Wigner–Yanase information correlations of two qubits coupled to an open superconducting cavity

In this paper, we explore distribution dynamics of two-qubit Fisher and skew information correlations of a dissipative microwave cavity field interacting with two charged superconducting qubits. Besides the negativity function, non-classical correlations beyond entanglement are studied using local quantum Fisher information (LQFI) and local quantum uncertainty (LQU). We find that the two-qubit non-classical correlations are sensitive to qubit–qubit distribution angle, two-qubit dissipation parameter, and initial coherent state intensity. The phenomena of frozen quantum correlations, sudden death or birth, as well as revival dynamical maps are feasible in the current two-qubit state when exposed to a microwave cavity. The non-classical correlations and entanglement have been found damped under the two-qubit dissipation appearance in the field. For the increasing strength of coherence intensity of the field, the two-qubit non-classical correlations functions remain to emerge quickly and oscillate with higher frequency, although with the least amplitudes. Interestingly, unlike the non-classical correlations, negativity does not emerge against higher coherence strengths of the cavity and remains completely zero. Finally, for the least dissipation and higher coherence strength, one can readily generate non-classical two-qubit states employing a microwave cavity.