Reviewerly/exHarmony huggingface dataset:
Coded Reactive Stragglers Mitigation in Distributed Computing Systems

In distributed computing systems, to mitigate the adverse effect of stragglers on the computation time, computation redundancy is used. The redundancy can be added proactively at the beginning, or reactively after some time based on the delay pattern of the workers. While most of the existing work with reactive mitigation strategy only considered task replication, we propose a coded reactive straggler mitigation with an uncoded and a coded phase for distributed matrix-matrix multiplications. Specifically, in the uncoded phase of the proposed strategy, the master distributes the computational job without redundancy among the workers. After a predetermined waiting time, the master cancels the remaining tasks. It then encodes the remaining tasks and distributes them among the workers. In the uncoded phase, in addition to the conventional erasure model, where workers can communicate only once, we consider multi-message communication (MMC) model to exploit the partial works done by workers. The optimum waiting time for the uncoded phase and the optimum code rate for the coded phase are also obtained. Our simulation results demonstrate that the proposed coded reactive mitigation significantly decreases the execution time in comparison with both the proactive mitigation strategy or the existing reactive mitigation strategy.
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation

Contrastive learning with Transformer-based sequence encoder has gained predominance for sequential recommendation due to its ability to mitigate the data noise and the data sparsity issue. However, existing contrastive learning approaches for sequential recommendation still suffer from two limitations. First, they mainly center on left-to-right unidirectional Transformers as base encoders, which are suboptimal for sequential recommendation because user behaviors may not be a rigid left-to-right sequence. Second, they devise contrastive learning objectives only from the sequence level, neglecting the rich self-supervision signals from the feature level. To address these limitations, we propose a novel framework called Feature-aware Contrastive Learning with bidirectional Transformers for sequential Recommendation (FCLRec) to effectively leverage feature information for sequential recommendation. Specifically, we first augment bidirectional Transformers with a novel feature-aware self-attention module that is able to simultaneously model the complex relationships between sequences and features. Next, we propose a novel feature-aware contrastive learning objective that generates a collection of positive samples via three types of augmentations from three different levels. Finally, we adopt feature prediction as an auxiliary task to strengthen the connections between items and features. Our experimental results on four public benchmark datasets show that FCLRec outperforms the state-of-the-art methods for sequential recommendation.
A Network Model to Study the Underlying Characteristics of Phishing Sites

In the rapidly evolving landscape of cyber threats, phishing continues to be a prominent vector for cyberattacks, posing significant risks to individuals, organizations and information systems. This study delves into a comprehensive analysis of phishing sites, focusing on their distinctive characteristics through the lens of network perspectives. In this paper, we study the underlying characteristics of phishing sites from the hyperlinked connectivity perspectives. In this work, we have used a phishing site dataset available at Mendeley data. As the dataset does not contain any hyperlinked information, We further collect the hyperlinks in each site and store that information in a JSON file. We further analyze the hyperlinks and the various features of those sites. The initial study reveals that though the Phishing sites mimic the original legitimate sites to trap people in their sites, it has distinct differences from the perspective of structural connectivity as well as the content of sites.
TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons

Autonomous vehicle platooning benefits significantly from the Consensus Speed Advisory System (CSAS), an emerging technology that recommends a consensus speed to reduce energy consumption. However, managing trust to ensure system security and identify malicious nodes poses a considerable challenge in these autonomous environments. Furthermore, while CSAS optimizes the total energy consumption of the platoon, it may inadvertently result in increased energy use for specific vehicles, discouraging their continued participation and hindering an efficient formation of a platoon. This paper proposes a trust-aware and decentralized speed advisory system (TD-SAS) to address these challenges. TD-SAS employs a consortium blockchain for managing trust nodes, providing non-repudiation and tamper resistance for reputation data. Capitalizing on this platform, we use a multi-weight subjective logic model for precise reputation value calculation. Additionally, we present a trust-aware consensus speed recommendation scheme capable of adapting its recommendations to vehicular reputation variations. To mitigate the potential disincentives for vehicles experiencing increased energy consumption, we incorporate an incentive mechanism to encourage their re-engagement with TD-SAS. Comprehensive security analysis and extensive simulation experiments confirm the robustness and effectiveness of TD-SAS, emphasizing its potential for enhancing the energy efficiency and security of autonomous vehicle platoons.
APLIKASI PENENTUAN HARGA SONGKET MENGGUNAKAN METODE EXTREME PROGRAMMING

Sukarara Village is one of the largest traditional weaving centers in Central Lombok which has several songket motifs or ornaments that have their own motifs, so that many Lombok people and people from outside the city and abroad come to see how to make songket weaving. and sizes that are sold in the market of course with prices also vary. Such as prices (3 million, 2 million 500, 1 million and 500 hundred), as well as motifs such as motifs (keker, stork, kerit, orchid, subahanale and others), as is the case with thread types such as (silk, marcis, gold, etc.) , cotton and rayon) as well as sizes such as (2 m long – 110 cm wide, 110 cm long – 190 cm wide and 60 cm long – 2 m wide). With the problem of determining the price of songket, one alternative solution that can be used is to design a songket pricing application system that can help provide solutions to buyers. The Extreme Programming method itself is the most widely used approach to software development. So in this study it is very suitable to use Xp because the nature of the application made is done quickly through the existing stages such as: planning, designing, coding, and testing. thread.
Development of A Web-Based Nearpod Application in Increasing Elementary School Students' Interest in Learning

Implementing TPACK-based learning in Indonesia is still far from perfect. This is because the habit of implementing the TPACK-based learning process has not yet been formed. The success of the TPACK-based learning process is still greatly influenced by the ability of teachers and students to access technology as a learning support medium. Implementing TPACK-based learning requires media to convey learning information and communication between teachers and students. The research objective of this study is to develop a Web-based Nearpod application to increase student intelligence and interest in elementary school. The development of the web-based Nearpod application has a plan that goes through several stages carried out by researchers based on the ADDIE development model. The first stage was carrying out the analysis. The analysis was carried out at SDIT Putra Pakuan. The researcher prepares the learning media design in the second stage by determining the material to develop and make a storyboard. The third stage is for the researcher to develop a design created using the Nearpod application. The development product is interactive learning media based on the Nearpod theme, how rich my country is, and the sub-theme utilization of natural resources in Indonesia, which contains learning material accompanied by text, images, learning videos, learning simulations, practice questions, educational games, and quizzes. The fourth stage is implementation. The product that has been developed is tested by class IV students to find out the responses of teachers and students after the learning media is installed and applied in class. The fifth stage is evaluation. At this stage, the researcher analyzes the responses of teachers and students after using the development product. The development research results concluded that the development product was successful, as seen from the percentage results, which showed a value of 81%-100% with an interpretation of "Very Good." The results of expert validation and teacher and student responses prove the feasibility of Nearpod-based interactive learning media. The results of experts' validation of learning media were declared very feasible. The validation results from media experts obtained a percentage of 97.33%, which means it is very suitable and can be used without revision. Language experts obtained a percentage of 94.66%, which means it is very suitable for use without revision, and learning material experts obtained a percentage of 98.66%, which means it is very suitable for use without revision. Students' interest in learning consists of understanding the concept of learning material, feeling like they like the learning situation, and feeling like they like learning activities. This can be seen from the students' activeness in class during the learning process.
صعوبات تدريس مادة التربية الفنية من وجهة نظر معلمي المادة بمدينة بنغازي

This study aimed to determine the difficulties of teaching art education in the basic education stage in the city of Benghazi from the point of view of the subject teachers. Using the descriptive analytical approach, the study population consisted of all teachers of art education for the basic education stage in the educational services offices (Benghazi, Al-Baraka, and Al-Salawi), who numbered (498) male and female teachers, from which a simple random sample of (217) individuals was chosen, and for data collection The interview was used, a questionnaire consisting of 40 paragraphs, and its stability and validity were verified, and distributed to the study sample. The number of recovered and analyzeable questionnaires reached (180) questionnaires, and their percentage was (36.14%) of the study population. For data analysis, arithmetic mean, standard deviation, and test were used. (T.test), and one way ANOVA).&#x0D; The results of the study concluded that the level of difficulties in teaching art education for the members of the study sample was average, and the most difficulties related to the student, followed by the curriculum, then the difficulties of school administration, and finally the difficulties related to the teacher. The results also showed that there were no statistically significant differences in the answers of the study sample members to the difficulties of teaching art education due to the variables (gender, specialization, and years of experience), while there were difficulties in teaching art education due to the variable of school type and in favor of mixed schools.
APLIKASI PENJUALAN DAN PEMBELIAN BARANG DENGAN MENGUNAKAN JAVA 2 STANDARD EDITION (J2SE) SEBAGAI COLLABORATIVE FULFILLMENT PADA SUPPLYCHAIN MANAGEMENT

Technological growth is increasing from year to year, this is indicated by the use of computers in all aspects, be it service companies, trade, or industry, ranging from small, large, to multi-national companies. KAMDATU is the procurement of office furniture. The supply chain process at CV. Kamdatu involves several external parties, namely suppliers, customers, shipping, and management. The problems faced by CV. Kamdatu is located in a sales and purchase processing system that is still manual (not yet computerized) so that it is prone to calculation errors, searching for item data, and delays in stock information, in addition to recapitulating reports takes a long time because employees have to recap data first this is because the absence of management in the purchase of goods and production The E-Supply Chain Management system that will be applied to CV Kamdatu focuses on the automation of information between companies, suppliers, consumers and delivery of goods. Inventory and fulfillment of customer orders are more controlled. Based on these problems the researcher uses a methodological method, namely the Unified Approach (UA) UA, which is an object-oriented development methodology that combines existing processes and methodologies with uses the Unified Modeling Language (UML) as the modeling standard. The result of this research is to produce an application that has features that support the processing of buying and selling transactions&#x0D; &#x0D;
Implementasi Metode 360 Derajat Pada Sistem Informasi Penilaian Kinerja Pegawai pada CV. Alfa Printing

Performance appraisal that is carried out properly will be beneficial for both employees and the company itself. The 360-degree assessment method is that an employee's assessment is not only taken from the assessment of his immediate supervisor or second superior above him, but also requested from an equal peer or from the relevant direct subordinate, the largest contribution of the assessment comes from his immediate supervisor and second supervisor. By applying the 360-degree method to the employee performance appraisal information system, it can eliminate the objectivity of the appraiser in assessing employee performance. By applying the 360-degree method to the employee performance appraisal information system, it makes it easier to assess employee data.
AI LLM Integration

Abstract: This study investigates the integration and utilization of advanced language models in diverse applications, ranging from creative content generation to sentiment analysis, emotion analysis, text completion, and article summarization. The study leverages state-of-the-art models from Hugging Face and OpenAI, exploring their capacities in addressing distinct facets of natural language processing. The primary focus is on the capabilities and limitations of language models in generating creative content, discerning sentiment in text, identifying emotional nuances, completing text prompts, and summarizing articles. Additionally, the research addresses the challenge of link processing within language models by implementing a dual-API approach for effective data retrieval and summarization. Through a comprehensive analysis, this paper contributes insights into the broader applicability of large language models, shedding light on their potential impact on creative and analytical tasks. It explores the nuances of emotion and sentiment detection, assesses the effectiveness of text completion, and evaluates the practicality of summarizing articles using language models. The findings presented in this research enhance our understanding of the capabilities and challenges associated with advanced language models. Moreover, the study provides a foundation for future research and optimizations in the integration of language models, offering potential avenues for improvements in diverse applications.
Digitization and Archiving of Company Invoices using Deep Learning and Text Recognition-Processing Techniques

Nowadays, it is crucial to transfer official documents such as invoices, dispatch notes, and receipts into digital environments and establish correct semantic relationships. However, understanding and processing these documents is a difficult process that requires significant time and effort. In recent years, the use of deep learning, image preprocessing, text detection, and optical character recognition (OCR) technologies have made this process easier. However, for text recognition and processing techniques to produce accurate results, documents must be clean and readable. Additionally, difficulties arising from time-consuming, tiring, error-prone, and cost-incurring human-powered digitalization processes must be reduced. The aim of this study is to digitize and archive scanned invoices and similar official documents using current artificial intelligence technologies, thereby enabling the most effective use of components such as time, cost, and human resources. The dataset used in the study includes 10,000 ".jpg" image files and 10,000 ".xml" data files. The model trained with the ResNet-50 architecture can detect text with accuracy rates of up to 97% on randomly selected images from the dataset. In an environment where a person can process an average of 2,112 documents per month, it is predicted that the trained artificial intelligence model can process 108,000 documents per month. With this developed method, businesses can quickly digitize and archive official documents such as invoices, dispatch notes, and receipts. Future studies propose the development of new methods that can produce better results using larger and more diverse datasets.
Analysis of the Use of Regional Languages and Indonesian Simultaneously: Impact and Community Attitudes at SMPN 1 Parungponteng, Tasikmalaya Regency

This study aims to explore the views and attitudes of individuals regarding the use of local languages and Indonesian simultaneously. Data was collected through interviews with 20 respondents from various backgrounds. The results of the study showed that the majority of respondents (55%) said that they had never used regional languages and Indonesian simultaneously. More than half of the respondents (55%) think that there is a negative impact from using local languages and Indonesian together.&#x0D; Most of the respondents (75%) disagreed if the local language was adopted as an borrowed language in Indonesian. As many as 65% of respondents think that there is no benefit from using regional languages and Indonesian simultaneously. In addition, the majority of respondents (75%) disagreed with being called old-fashioned or tacky when using local languages. The majority of respondents (85%) do not feel confident when using regional languages and Indonesian simultaneously. Most respondents (65%) disagree with the omission of regional languages in using Indonesian. Meanwhile, 60% of respondents did not think that local languages had a great influence on Indonesian. Finally, most of the respondents (80%) thought that by using local languages and Indonesian together, they could not be said to be slang. The results of this study provide insight into how people see the use of local languages and Indonesian in their daily interactions. In the context of preserving regional languages and using the national language, these findings can provide a basis for efforts to maintain language and further understand people's perceptions of language.
A JUSTIFIED GRAPH ANALYSIS OF PRAYER SPACE IN FLOODED HOMES

Indonesia's risks of natural disasters force its people to live and adapt. It happens in Samarinda's urban settlements, which flood annually. Indonesia, a religious country, applied religion to most aspects of life. The religious element is persistent even in homes being inundated by floods. Devout Muslims consistently perform the five daily Shalah and sometimes Sunnah prayers in flooded conditions. This paper analyzed the spatial configuration of the Muslim prayer space in the flooded residence from different phases. The study method was based on Justified Graph analysis, and the sample was a stilt house in some periods. The research locus was in the most settlement area covering frequent floods. This research found that Integration and Mean Depth were the critical factors in prayer spaces in flooded homes due to the connection with other spaces, visual control, and interaction. Muslim home renovations should have a prayer space with high Integration value and low Mean Depth. High Integration connects the prayer space to numerous rooms, making controlling and interacting with others during a flood easier. Low Mean Depth allows easy access to the prayer space from the main entrance. A prayer space will ensure the house has a safe area during a flood.
Overview of the Cenozoic geology of the northern Harrat Rahat volcanic field, Kingdom of Saudi Arabia

First posted December 29, 2023 For additional information, contact: Volcano Science Center - Menlo ParkU.S. Geological Survey345 Middlefield Road, MS 910Menlo Park, CA 94025Contact Pubs Warehouse The Harrat Rahat volcanic field, located in the west-central part of the Kingdom of Saudi Arabia, is one of the larger Cenozoic harrats among the more than 17 harrats situated upon the Arabia Plate. The map plate contained herein shows, at a scale of 1:100,000, the mapped volcanic geology of northern Harrat Rahat, which consists of the northernmost one-fifth of Harrat Rahat. Northern Harrat Rahat has an area of about 3,340 square kilometers (km2), of which 2,567 km2 is covered by Harrat Rahat volcanic rocks and deposits, and it encompasses more than 900 exposed vents (that is, craters, cryptodomes, maars, and scoria cones), 289 of which are isolated by younger volcanic deposits and have not been correlated with the 234 volcanic rock units distinguished by geologic mapping.Northern Harrat Rahat is of special interest owing to its proximity to the city of Al Madinah al Munawwarah, which sits within, and is continuing to expand southward over, the north end of the volcanic field. Al Madinah is home to an expanding population, currently at more than 2 million residents, together with the intermittent addition of approximately 3 million pilgrims during Hajj and Umrah (religious visitations). The center of Al Madinah is less than 8 km from lava flows of the only confirmed historically documented eruption, which occurred in 1256 C.E. (654 A.H.). Earlier prehistoric lava flows also encroached into the area of the present-day city limits, as demonstrated by volcanic rocks exposed widely throughout the city in roadcuts, parks, and excavations for new buildings, although no evidence has been found of any other than the 1256 C.E. lava having reached that area during times of human habitation.Geologic mapping was undertaken by the U.S. Geological Survey in collaboration with the Saudi Geological Survey. The features of primary interest within the map area are scoria cones, lava flows, lava domes, craters, and pyroclastic deposits from the Quaternary, which have compositions of basalt, hawaiite, mugearite, benmoreite, and trachyte. The geologic mapping was published by Downs and others (2019) on a single sheet at 1:75,000 scale and two detailed sheets at 1:25,000 scale, accompanied by detailed explanations of the geology. This report presents the geology on a single sheet at 1:100,000 scale and provides condensed geologic explanations for the convenience of readers of this volume. Some minor errors of nomenclature and lava source regions that do not change fundamental interpretations have been corrected herein.
A study of the attitude of primary school students in Chinato the use of digital educational resources in teaching

The content of the article gives an idea of the introduction of digital educational resources into the educational process of primary schools in China, based on the analysis of the results of a survey among schoolchildren and their parents of the Weinan City District, Shaanxi Province, China.&#x0D; Project: Research of ways of development and advanced training of teachers in the field of informatization on the basis of professional certification (No.: 21BY149) Research on the Integration of Information Technology, Thinking and Politics in Colleges and Universities in the Era of Fragmentation (No.: 2022WSYJ100646) Teaching teachers digital information teaching skills in the Context of new Humanities (No.: 20210259442) Strategic Research on Improving the Quality of Digital Online Learning (No.: 2022JYKX12).