Reviewerly/exHarmony huggingface dataset:
Arabic Web Page Classification with AraBert and Mixture vectorization Methods: Analysis Using K-NN, LSTM and Naive Bayes

With the enormous increase in the volume of Arabic content on the Internet, the retrieval of this content in an accurate and rapid manner has become a necessity. Manual categorization of web pages in this case can be challenging in terms of optimizing efficiency, speed, and cost. Therefore, using natural language processing models seems like a suitable choice for this task. In this paper, we present a comparative study of classification models for web pages written in Arabic. Our comparative study includes K-Nearest Neighbor (K-NN), Long Short-Term Memory model (LSTM), Naive Bayes (implemented using top 1%, top 60%, and top 80% mixture methods), and the transformer-based model AraBert. For training, we scraped a dataset of roughly 10,000 Arabic web pages, each assigned to one of the following categories: health, economy, and politics. Linguistic preprocessing was carried out, followed by the training and evaluation of our models. Using performance metrics, we conclude that AraBert outperformed all other models across all classification metrics, despite the use of mixture methods.
Synthetic Data Augmentation for ASR with Domain Filtering

Recent studies have shown that synthetic speech can effectively serve as training data for automatic speech recognition models. Text data for synthetic speech is mostly obtained from in-domain text or generated text using augmentation. However, obtaining large amounts of in-domain text data with diverse lexical contexts is difficult, especially in low-resource scenarios. This paper proposes using text from a large generic-domain source and applying a domain filtering method to choose the relevant text data. This method involves two filtering steps: 1) selecting text based on its semantic similarity to the available in-domain text and 2) diversifying the vocabulary of the selected text using a greedy-search algorithm. Experimental results show that our proposed method outperforms the conventional text augmentation approach, with the relative reduction of word-error-rate ranging from 6% to 25% on the LibriSpeech dataset and 15% on a low-resource Vietnamese dataset.
Part-Attention Based RGB-Infrared Person Re-Identification Network

Person re-identification is a challenging task in artificial intelligence, particularly in the context of RGB-Infrared images. This paper proposes a method that leverages a backbone network and self-attention mechanism to address the challenges in this domain. The approach achieves significant performance improvement, as demonstrated through experiments on the SYSU-MM01 dataset. The proposed method incorporates a modified ResNet-50 as a feature extractor and utilizes various loss functions to optimize different aspects of the re-identification process. The results show an mAP of 66.37% and high precision scores, highlighting the effectiveness of the approach. This study confirms the potential of correlation-based methods for person re-identification across different domains.
Generating a sitemap with Quarto

Sitemaps are an easy way to list all pages that a search engine should crawl and index. Quarto supports the standard, XML based Sitemap Protocol, although that fact is a bit hidden in the docs. Quarto will automatically produce a sitemap if the website’s URL is given as site-url property: website: title: tarleb site-url: 'https://tarleb.com' site-path: '/' The URL will contain a colon :, which is why the YAML value must be put in quotes.
IMPLEMENTASI ALGORITMA NAIVE BAYES UNTUK MENENTUKAN TINGKAT KEPUASAN MASYARAKAT TERHADAP PELAYANAN PUBLIK (STUDI KASUS : BALAI PENGKAJIAN TEKNOLOGI PERTANIAN DAERAH ISTIMEWA YOGYAKARTA)

Public services by this government apparatus are still found in weaknesses so that they cannot meet the quality expected by the community. This was marked by the existence of various public complaints that were conveyed through the mass media, so as to create an unfavorable image of the government apparatus. This research was conducted in making a prediction system by utilizing the Naïve Bayes algorithm. It can be seen the level of community satisfaction based on index values obtained from the results of quantitative and qualitative measurements of public opinion at the Yogyakarta Institute of Agricultural Technology and the level of accuracy in implementing Naïve Bayes algorithms.From the results that have been known, it can be used as a benchmark to assess the level of service quality at the Yogyakarta Institute of Agricultural Technology Assessment, with the aim of knowing the level of performance of service units on a regular basis as material to establish policies in order to improve the quality of subsequent public services and the government can continue to improve service quality
ANALISIS PELAKSANAAN SISTEM INFORMASI REKAM MEDIS BAGIAN PENDAFTARAN RAWAT JALAN DI RSUD PANEMBAHAN SENOPATI BANTUL TAHUN 2019

Background: Medical Record Information System is a very vital requirement for a medical institution. In order to speed up the provision of medical record information services to almost the entire hospital using the medical record information system including the Panembahan General Hospital, Senopati Bantul. Based on the results of a preliminary study conducted on the twenty-first of September 2018 on one of the patients who were waiting in the outpatient registration section with an average waiting time of 11.22 minutes, this complaint was confirmed by 2 other patients who were lining up with these patients.&#x0D; Purpose: Analyze the Implementation of Medical Record Information Systems in the Outpatient Registration Section at Panembahan Senopati Hospital Bantul.&#x0D; Method: This study uses qualitative research methods. This research was carried out by means of source triagulation techniques. This research was carried out in the Outpatient Registration section of Panembahan Senopati Hospital Bantul.&#x0D; Results: The results of the study show that the Analysis of the Medical Record Information System Implementation in Outpatient Registration Section at Panembahan Senopati Hospital Bantul is human resources, facilities and infrastructure, software flow and hardware conditions.&#x0D; Conclusion: Human resources, facilities and infrastructure, software flow and hardware conditions affected by network errors and applications that are down.
DigitEZ: Blockchain-based Business Permit using Smart Contracts for the Municipality of Murcia

As technology evolves, government document permits must practice the necessity to adapt to a rapidly changing reality. Government requirements are now being made online, an easy way to catch up on any activity and transaction. Modern Technology continues its rapid development, affecting all aspects of life, but most importantly, it affects the security of a process. The primary purpose of this study was to develop a Blockchain-based Business Permit that helps government officials improve their safety and processing of any permits, like preventing falsification and forgery that may occur at times. This specific type of shared database stores data in cryptographically linked blocks to create an immutable and open ledger. The system may provide a tamper-proof and auditable record of permit-related transactions, lowering the possibility of document fabrication and illegal revisions. The main feature of this system is securing all the information and requirements to ensure that all are complete and correct data. The researchers used the Agile Model to develop the plan to help the beneficiaries understand the specification of features, requirements, functionalities, and network architectures. The estimated budget cost for the software development is Php135,000.00 for 8 to 12 working months.
PROTOTYPE APLIKASI RECORDING TERNAK TERINTEGRASI DENGAN SISTEM IDENTIFIKASI DAN SERTIFIKASI TERNAK DI KABUPATEN KEBUMEN

The Government of the Department of Agriculture and Food / Dinas Pertanian dan Pangan (Distapang) of Kebumen Regency has utilized information technology to register livestock and provide identity cards to livestock with the Livestock Card Database System. With this system, Distapang Kebumen can quickly find out the livestock population and household of farmers. Kebumen Regency is one of the best cattle breeding areas at the national level, namely for PO cattle. Therefore, the Agriculture and Food Service Office of Kebumen Regency provides a Breeding Certificate /Surat Keterangan Layak Bibit (SKLB) for livestock. SKLB will increase trust and satisfaction of livestock breed users, and will certainly increase the price of livestock. To make SKLB, Distapang uses the help of the SKLB Recording and Printing System ... Unfortunately, between the Livestock Card Database System and the SKLB Recording and Printing System is not integrated, so there is one job carried out by two officers, namely livestock data collection. Data on making livestock cards comes from forms filled out by data officers in the village area from livestock, while data recording comes from recording officers from members of the herd group / designated officers. The output of this research is in the form of an Android-based recording application prototype design, which is integrated with the Livestock Card Database System as an Identification System, and the SKLB Recording and Printing System as a System for Animal Certification
Problems and Prospects of the Online Model for Exporting Russian Education in the Context of Digital Inequality

Russia has historically been a favored destination for international students, a trend continuing through 2020–2022 despite pandemic challenges, quarantine measures, remote learning adaptations, and evolving geopolitical dynamics. The pandemic prompted significant digital transformations in universities, revealing varying digital readiness among Russian institutions for the abrupt shift to online education. This led to the emergence of a novel “digital didactics” methodology. Russian universities adopted digitalization not only for education but also for supporting digital students’ sociopsychological adaptation and devising recruitment strategies via social networks. In these circumstances, digital inequality emerged as a critical concern. This issue is not only evident at a global level but also across various stages of foreign students’ education, spanning from virtual admissions to final certification. This study analyzes the global experiences and recommendations for crafting an optimal model for online educational engagement with foreign students and categorizes Russian universities based on their digital readiness for education export and identifies challenges in engaging foreign students and attracting applicants.
ANALISIS KEPUASAN MAHASISWA TERHADAP SISTEM PEMBELAJARAN ONLINE PADA MASA PANDEMIC COVID 19 DI STMIK AKAKOM DENGAN METODE NAIVE BAYES

In accordance with the circular of the Minister of Education and Culture of the Republic of Indonesia regarding Circular Letter Number 4 of 2020 concerning the Implementation of Educational Policies in the Emergency Period for the Spread of Corona Virus Disease (COVID-19), the learning system implemented is online. &#x0D; STMIK AKAKOM is one of the universities that has also implemented online lectures since the government's policy for the home learning system was established. Various efforts have been made by STMIK AKAKOM to carry out the online learning process during this covid-19 pandemic. &#x0D; Therefore, researchers conducted a study that aims to analyze the success of the online learning system for students conducted at STMIK AKAKOM with the Naive Bayes method approach, using 4 (four) criteria, namely Communication, Building a Learning Atmosphere, Assessment of Students, and Delivery of Lecture Materials. The level of satisfaction assessment using a Likert scale (likert scale) 5 points with the same interval. starting from point 1 (one) which states very less, to point 5 (five) which states very well. Based on the results of calculations that have been carried out, it can be seen that the classification of testing data from respondents numbered R89 to R93 for online learning systems during the Covid 19 pandemic is satisfied.
Fusion estimation for state-saturated multi-rate systems with integral measurement and sensor resolution

The fusion estimation problem for a class of multi-rate systems (MRS) subject to state saturation is examined in this paper. varying sensors have varying sensor sampling rates (SSRs), and in MRS, the system’s status update rate (SUR) and the SSR can differ from one another. In addition, to incorporate the requirements of actual engineering practice, the measurement output of sensors is influenced by the sensor resolution and the phenomenon of integral measurements. The aim of this paper is to design an appropriate set of local estimators for each sensor node, taking into account the effects of integral measurement, sensor resolution and multi-rate sampling mechanism. Then, Design of the upper bound on the error covariance of the estimator can be obtained by solution of the matrix difference equation, and the relevant filter parameter is determined by minimizing the obtained upper bound. For local state estimation, an acceptable fusion estimating approach based on the covariance intersection (CI) method is given, and its consistency is demonstrated. Lastly, the effectiveness and appropriateness of the suggested multi-rate fusion estimation approach are confirmed by a simulated example.
TRANSFORMASI DIGITAL PERGURUAN TINGGI MENGGUNAKAN PRINSIP SMART EDUCATION

The digital world is marked by changes in the economy, companies and society become completely digital. Economic activities that are supported by the internet, products become digital, and community activities that always use the internet, make universities must prepare themselves to face these changes.&#x0D; SMART Education is an aspect that is used as a measure of digital transformation. The SMART principle consists of 2 two components. The first component consists of: self-directed/independence, Motivated/motivated, Adaptive/adaptation, Research/research and innovation, Technology/technology. The second component is the structural area of ​​higher education which consists of: management systems, human resources, educational activities, research and innovation, as well as higher education infrastructure.&#x0D; The stages of digital transformation towards SMART University are measured based on the combination of the components of SMART education principles and the components of the structural area of ​​higher education, which are categorized into three stages, namely the informatization, integration and digitization stages.
Blockchain-based PDF File Copyright Protection and Tracing

Abstract As network technology advances at a rapid pace, an increasing number of individuals are utilizing the Internet to transmit and receive information. However, copying, altering, and other malicious acts constantly threaten the copyright ownership of electronic documents in this open environment of the Internet. Numerous copyright theft, illegal transmission, information forgery, and other problems are emerging. Moreover, because of the absence of copyright protection methods, PDF file owners often need help to secure the subsequent legal use of their PDF files after uploading them to the Internet. Combining blockchain and data hiding of PDF files for the first time, we propose a blockchain-based copyright protection scheme for PDF files to uniformly handle the problems of copyright authentication, authenticity identification, and copyright disputes of PDF files. First, we propose a new information hiding algorithm based on the incremental update characteristics of PDF, which embeds copyright information in PDF files. Second, the scheme enables users to establish their access control policies via smart contracts and delivers on-chain PDF file proofs, which can be employed to validate the ownership rights of PDF files and track the transaction history of PDF files. We have implemented the system on the Ethereum platform and analyzed its security and traceability. The experimental results demonstrate that the proposed information hiding algorithm possesses robust security and that the copyright registration method is rapid
Accounting Information System Analysis of Merchandise Inventory at PT Arnetha Jayapura

An accounting information system is a system that functions to carry out company data processing tasks by collecting data, changing data and providing quality information for users. This information is used to assist companies in making decisions and the existence of control elements in the accounting information system will be able to reduce the occurrence of errors and fraud. This research aims to find out how the accounting information system is implemented for merchandise inventory at PT Arnetha Jayapura. The results of the research show that the implementation of the accounting information system for merchandise inventory at PT Arnetha as a whole is quite good where work can be completed according to plan. However, there are still PT. Arnetha policies that are not appropriate, namely in terms of internal control, namely that there has not been a separation of functions between receiving goods and storage or warehouse, as well as recording inventory cards with the warehouse.
Gastropods on Marine Debris at Mangrove Ecosystem

The mangrove ecosystem is one of the accumulation areas for various marine debris including plastic and also the habitat for gastropods. This condition allows direct contact between gastropods and debris which can be an entranceway for contamination in biota. This study aimed to know the species of gastropods in the marine debris in the Bulaksetra mangrove ecosystem in Pangandaran. The method used was stratified random sampling with a transect line of 100 m. Gastropods and debris in the 1 m x 1 m square in the 10 m x 10 m plot were collected, identified, counted, and determined in composition. There were 22 types of marine debris in the Bulaksetra mangrove ecosystem which were dominated by plastic. 16 species of gastropods were found in the area around the debris and 15 species were found attached to the debris. Gastropods can be found on the top, middle, or bottom surfaces of plastic waste. Faunus ater and Terebralia palustris dominate in the surrounding area and the debris. Treefauna gastropods utilize stuck debris to move from one part to another part of the tree. Plastic waste has become part of the mangrove habitat and there are interactions with gastropods that use it as a living medium.
Cross-domain aspect term extractionincorporating character-level features

Abstract The aspect term extraction task requires a large amount of labeled data, which will be costly in money and manpower. To reduce the dependence of the aspect term extraction task on labeled data, existing approaches mainly utilize the existence of similar syntactic information or semantic information in the source and target domains. However, relying only on syntactic or semantic information as pivotal information to bridge the gap between the source and target domains is always limited. In order to further extend more similar elements to improve the performance upper bound of the cross-domain aspect term extraction task, we propose to introduce characterlevel features via character-based word embeddings to assist the semantic information for crossdomain aspect term extraction and design a parallel multi-encoder learning framework to learn character-level and word-level features respectively, which ultimately achieves the current best performance on the benchmark dataset.
Formation of sociocultural competence at russian language lessons in the national school of the Republic of Moldova (stage of comprehensive education) in the context of the 2019 Curriculum

The author of the article turned to topical problems of the methodology for teaching the Russian language as a non-native language – the formation of sociocultural competence. The separation of this competence into an independent one in the 2019 updated Curriculum indicates its significance. The article carried out a detailed analysis of Curriculum and textbooks on the Russian language for the V and VI forms of the national school of the Republic of Moldova from the point of view in question. The study aimed to identify texts and tasks in textbooks that contribute to the formation of sociocultural competence. The article also offers assignments to certain topics of the Russian language textbook for VI form, supplementing its content in the aspect of sociocultural knowledge.
Meningkatkan Motivasi Belajar Pada Peserta Didik Kelas VII A SMP Xaverius Metro Materi Yesus Sang Pengampun Dengan Metode Diskusi dan Presentasi

The problem in this research is whether discussion and presentation methods can increase learning motivation in class VIIA students at Xaverius Metro Middle School. The research method used was the classroom action research (PTK) method which was carried out at Xaverius Metro Middle School on Class VIIA students totaling 28 students. This research was carried out over two actions (cycles). Data collection techniques through observation, questionnaires and learning outcomes tests. The research results showed that there was an increase in motivation, attitudes and learning outcomes through the use of group discussion and presentation methods for class VIIA SMP Xaverius Metro. The increase in this research is quite significant, namely that the independence of students who are developing has decreased from 1 student (3.57%) in cycle I, and to 0 students (0%) in cycle II. The qualification that stated students were quite independent decreased from 12 students (42.86%) in cycle I, and to 10 students (35.71%) in cycle II. The qualifications that stated independent students decreased from 12 students (42.86%) in cycle I, and to 11 students (39.29%) in cycle II. The qualification that states students are very independent has increased from 3 students (10.71%) in cycle I, and to 7 students (25.00%) in cycle II. Students' attitudes increased significantly from 5 students (17.86%) in cycle I, and to 6 students (21.43%) in cycle II. Qualifications that stated they were good decreased from 23 students (82.14%) in cycle I, and to 16 students (57.14%) in cycle II. The qualifications that stated they were very happy had increased from 0 students (0%) in cycle I, and to 7 students (25.00%) in cycle II. The results of the student learning evaluation showed that it was developing, experiencing a decrease from 3 students (10.71%) in cycle I, and to 0 students (0%) in cycle II. The qualifications that stated they were worthy decreased from 10 students (35.71%) in cycle I, and to 4 students (14.29%) in cycle II. Qualifications stating that they were proficient increased from 7 students (25.00%) in cycle I, and to 9 students (32.14%) in cycle II. The qualifications for proficient increased from 8 students (28.57%) in cycle I, and to 15 students (53.57%) in cycle II. This means that the results obtained have met the criteria for completing the lesson objectives (KKTP).