Reviewerly/exHarmony huggingface dataset:
Recursive Small-Step Multi-Agent A* for Dec-POMDPs

We present recursive small-step multi-agent A* (RS-MAA*), an exact algorithm that optimizes the expected reward in decentralized partially observable Markov decision processes (Dec-POMDPs). RS-MAA* builds on multi-agent A* (MAA*), an algorithm that finds policies by exploring a search tree, but tackles two major scalability concerns. First, we employ a modified, small-step variant of the search tree that avoids the double exponential outdegree of the classical formulation. Second, we use a tight and recursive heuristic that we compute on-the-fly, thereby avoiding an expensive precomputation. The resulting algorithm is conceptually simple, yet it shows superior performance on a rich set of standard benchmarks.
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation

Dynamic scene graph generation aims to identify visual relationships (subject-predicate-object) in frames based on spatio-temporal contextual information in the video. Previous work implicitly models the spatio-temporal interaction simultaneously, which leads to entanglement of spatio-temporal contextual information. To this end, we propose a Grafting-Then-Reassembling framework (GTR), which explicitly extracts intra-frame spatial information and inter-frame temporal information in two separate stages to decouple spatio-temporal contextual information. Specifically, we first graft a static scene graph generation model to generate static visual relationships within frames. Then we propose the temporal dependency model to extract the temporal dependencies across frames, and explicitly reassemble static visual relationships into dynamic scene graphs. Experimental results show that GTR achieves the state-of-the-art performance on Action Genome dataset. Further analyses reveal that the reassembling stage is crucial to the success of our framework.
Contrastive Learning for Sign Language Recognition and Translation

There are two problems that widely exist in current end-to-end sign language processing architecture. One is the CTC spike phenomenon which weakens the visual representational ability in Continuous Sign Language Recognition (CSLR). The other one is the exposure bias problem which leads to the accumulation of translation errors during inference in Sign Language Translation (SLT). In this paper, we tackle these issues by introducing contrast learning, aiming to enhance both visual-level feature representation and semantic-level error tolerance. Specifically, to alleviate CTC spike phenomenon and enhance visual-level representation, we design a visual contrastive loss by minimizing visual feature distance between different augmented samples of frames in one sign video, so that the model can further explore features by utilizing numerous unlabeled frames in an unsupervised way. To alleviate exposure bias problem and improve semantic-level error tolerance, we design a semantic contrastive loss by re-inputting the predicted sentence into semantic module and comparing features of ground-truth sequence and predicted sequence, for exposing model to its own mistakes. Besides, we propose two new metrics, i.e., Blank Rate and Consecutive Wrong Word Rate to directly reflect our improvement on the two problems. Extensive experimental results on current sign language datasets demonstrate the effectiveness of our approach, which achieves state-of-the-art performance.
Analysis of the Development of Digital Assets (Cryptocurrency) in Indonesia in 2022/2023

Cryptocurrency merupakan sebuah merupakan sebuah aset semacam mata uang yang dapat dijadikan alat tukar dalam jual beli dan juga dapat diinvestasikan. Mata uang kripto ini memiliki banyak sekali jenisnya dengan nilai yang berbeda-beda. Beberapa mata uang kripto memiliki harga yang cukup tinggi dan bisa terjadi penurunan maupun kenaikan nilai dengan begitu cepat. Oleh sebab itu mata uang kripto menjadi salah satu aset yang banyak diminati oleh para investor. K-means clustering adalah algoritma yang digunakan untuk mengelompokan data ke dalam cluster berdasarkan kesamaan atributnya. Tujuan penelitian ini adalah untuk menganalisa perkembangan cryptocurrency di Indonesia. Data-data yang didapat dari para investor tersebut akan diolah menggunakan k-means clustering dan dibagi menjadi beberapa cluster yang menunjukan apakah cryptocurrency di indonesia mengalami perkembangan atau sebaliknya. Proses perhitungan jarak terbagi menjadi dua proses yaitu menggunakan proses manual dengan menggunakan excel dan proses menggunakan rapidminner. Untuk mencari jumlah cluster yang tepat untuk clustering digunakan rapidminner sehingga hasilnya pembagian menjadi 3 kelompok adalah yang paling terbaik. Seteah proses perhitungan manual dan menggunakan rapidminner mayoritas investor terdapat pada cluster 2 yang berarti investasi mata uang kripto di indonesia mengalami cukup berkembang.Cryptocurrency is an asset that is a kind of currency that can be used as a medium of exchange in buying and selling and can also be invested. This cryptocurrency has many types with different values. Some cryptocurrencies have quite high prices and can decrease or increase in value very quickly. Therefore, cryptocurrencies are one of the assets that are in great demand by investors. Cryptocurrencies also have a fairly high risk because they have a rapid increase in value, of course the risk is a rapid decline in price.K-means clustering is an algorithm used to group data into clusters based on the similarity of their attributes. The purpose of this research is to analyze the development of cryptocurrencies in Indonesia and investors who invest, especially Indonesian investors. The data obtained from these investors will be processed using k-means clustering and divided into several clusters that show whether cryptocurrency in Indonesia is developing or vice versa. The distance calculation process is divided into two processes, namely using a manual process using excel and using rapid minner. To find the number of clusters that are suitable for clustering, rapidminner is used so that the results of dividing into 3 groups are the best. After the manual calculation process and using rapidminner, the majority of investors are in cluster 2, which means that crypto currency investment in Indonesia has developed quite a bit.
Financial Indicators as Predictors of UNDP’s Human Development Index (HDI): A Literature Review

This paper presents a novel reinforcement of financial indicators as predictors of UNDP’s Human Development Index (HDI). The review focused on the roles of each financial index as a mediator of a positive relationship between the World Bank’s financial indicators and HDI. The literature review focused on how each financial indicator affects human development, whether the indicators significantly predict global HDI, and whether there was a significant relationship between the financial indicators and the 69 countries’ HDI. The study used content analysis of scientific sources generated through Google Bard, ChatGPT, and the Consensus app. The sources and references came from research databases such as Google Scholar, Scopus, Clarivate Analytics, and DOAJ. Results showed a significant correlation between financial indicators and human development. The study concluded that financial indices such as financial development, inclusion, and financial sustainability were significant predictors of human development.
Transaction Data Security Using AES and RC4

This study discusses the effectiveness of using AES (Advanced Encryption Standard) and RC4 (Rivest Chipper 4) as digital data security algorithms to prevent and protect transaction data from irresponsible parties. This needs to be done because the development of sales transactions or other services has used digital technology a lot. This situation causes the need to secure digital data from existing transactions, so that transaction data can be stored safely. Transaction data security is carried out by changing data into ciphers or codes that are difficult to read using the AES (Advanced Encryption Standard) and RC4 (Rivest Cipher 4) algorithms. This research begins by collecting existing transaction data and then transforming it into ASCII code. The results of the transformation will be used to perform calculations using the AES algorithm. After completing the calculation process using the AES algorithm, then do the calculations using RC4. These results will be stored in the database so that the transaction data that has turned into these codes cannot be known by other parties. The combination of the AES and RC4 algorithms is carried out to strengthen data encryption because there are more and more rotation systems and double security is carried out so that digital data is not easily read and misused. With the presence of this research, it can be shown that the AES and RC4 algorithms are capable of encrypting existing transaction data with multiple levels of security.
Implementation of startups during the training of specialists in the field of information technology

Now, the training of a specialist is considered as an output. When students enter higher education, the curriculum is drawn up for them, which is strictly followed throughout subsequent years, for example, four years for the bachelor. However, this approach does not suit motivated students who lack creativity along with actual knowledge. Thus, these students, in parallel with higher education, attend special courses in IT-companies. At the end of the course, students start working for an IT com-pany and lose motivation for further training at the university. The authors of the article offer a comprehensive approach to the introduction of startups in the educational process of universities during the training of specialists for the IT-field. Attraction to the educational process of stakeholders from IT-companies to solve actual problems will lead to the fact that students will be involved in the creative process, in which they will receive useful knowledge and skills not only in the specialty, but also learn to communicate in a team. The introduction of startups will lead to an increase in the number of motivated students, because students can for creativity to choose not only topics proposed by stakeholders, but also to offer their ideas. Close co-operation with stakeholders from the IT-field will lead to an improvement in the quality of the materials that teachers will offer students for training and will also allow univer-sities to earn on author courses and textbooks written by teachers. The authors of the article propose, together with start-ups to introduce flexible planning of the educational process for students who take part in start-ups, i.e. each motivated student will be able to engage in their educational trajectory and after graduation to obtain not only a di-ploma, But also certificates that will confirm the skills gained in startups. The article also indicates other benefits that each of the stakeholders will receive from the intro-duction of startups in the learning process.
Nurturing Reading Culture: Establishing a Mini Library to Promote Literacy and Foster Children's Reading Interest in Cidikit Village, Bayah, Lebak, Banten

. According to the observations made in Cidikit Village's primary and junior high schools, pupils' lack of interest in reading affected their willingness to visit the library. This is because there are few books, the kids from Cidikit Village and the Village Reading Park live quite far apart, and school reading is not a habit. A reading garden was created by Jumyadi, an elementary school teacher in Cidikit Village, out of worry for his kids' ability to learn. It is envisaged that adding micro libraries to each settlement in Cidikit Village will contribute to the children's literacy growth. The PAR (Participatory Action Research) method was used to carry out this research. The social phenomena of Taman Baca are observed, heard, and understood using this technique. Cidikit Village benefits significantly from Al-Fatih Reading Park's existence as a hub for local knowledge.
File Tracking System under Governance of Student Data Information

Abstract: Finding records is maybe the most difficult issue in schools nowadays. Time is wasted in glancing through records, energy is wasted seeking after mistakenly spelled archives, deadlines are missed. Along these lines, I decided to make a structure for report following that will handle all issues in the bestmanner .Document Global positioning framework is a web application that arrangements with all the record advancement beginning with one workspace then onto the following one and helps them in regulating stream of records effectively and beneficially. All of the records, for instance, reports, decisions, requesting, updates, and others can be dealt with and can similarlyfollowed by the structure at whatever point. The system will allowthe administrator to make assets of that school and designate to them all of the divisions. Each office ought to have a client who will be at risk for that division. Nowadays Colleges use a genuine standard way for basically choosing, requests or any reports. Other than this while the reporting of records is required, they account them in genuine standard way. In Record worldwide situating system, Which is for the most part used to follow the report who have been found in something almost identical. The nuances of seen archive list is having by the head and engraving nuances moreover moved by using this application.
A Complete Handbook for Digital Forensics Investigator

Abstract: This handbook provides a comprehensive guide to digital forensics, covering topics such as its definition and scope, importance in investigations, and legal and ethical considerations. It emphasizes the collection, analysis, and presentation of digital evidence while adhering to legal guidelines and ethical standards. Key topics include cybercrime investigations, incident response, privacy protection, chain of custody, and professional conduct. The handbook also covers tools, file systems, network forensics, malware analysis, mobile device forensics, and emerging challenges in the field
Econometric study on the impact of digital technologies on GDP in Algeria

The aims of this study are the concept of digital impact economy technologies on the gross domestic product in Algeria in the last twenty years. We link our study to using of the directed error correction model (VECM). This study concluded that there is a single relationship of co-integration in the long term between the impact of digital economy technologies and human resource management through the effect of both fixed-line subscribers and the number of telephone subscribers in the gross domestic product. Results can reach that the contribution of digital economy technologies is for the increased economic growth.
FACTORS FOR ACTIVATING THE ARTISTIC POTENTIAL OF AN INSTRUMENTAL MUSICIAN

The article examines the problem of forming the artistic skills of junior high school students in out-of-school art education institutions.In this aspect, the author highlights external and internal factors that create a favorable environment for activating the artistic potential of an instrumentalist musician in his creative activity.It has been proven that the most important external objective factors include: curricula, programs, etc., which operate at the level of instrumental training of a musician-performer, on the one hand, and on the other, specially developed tasks, exercises, etc., aimed at the development of his artistry .Thanks to their purposeful use, the creative person begins to become more aware of his possibilities in search of a differentiated approach to multiple interpretations of the author's text, where his own interpretation is based on projected musical and artistic techniques, saturated with internal "energy" and endowed with emotional memory.It was revealed that the internal conditions for the formation of the artistry of an instrumental musician differ in their specificity, as evidenced by such factors as: peculiarities of the psychophysical organization of a creative personality, socio-moral and cultural-aesthetic experience, professional orientation of the personality.In this regard, among the external factors for the activation of the artistic potential of an instrumentalist musician, the author considers: the psychophysiological essence of the artistry of an instrumentalist musician, taking into account the age and individual characteristics of the personality in the process of organizing the educational process, the presence of psychological readiness for schooling, the presence of interest in musical activity.It is proven that taking into account the researched factors will contribute to the successful process of forming the artistic abilities of younger schoolchildren during music education by involving younger schoolchildren in active game activities, creating a creative environment in the educational process of extracurricular education institutions.
Pengaruh Media Manik-manik Warna Terhadap Keterampilan Berhitung Siswa Kelas 1 SD

One of the reasons for the low numeracy skills in elementary schools is the lack of application of instructional media which provides opportunities for students to practice directly and train themselves to be skilled at counting. To improve students' numeracy skills, learning innovations are needed that involve students actively through direct learning experiences. One alternative solution to this problem is to use colored beads as learning media in learning Mathematics in Elementary Schools. This study aims to find out 1) to know the application of color bead media to grade 1 elementary school mathematics 2) to find out the increase in math skills in grade 1 elementary school students after using color bead media, and 3) to know the effect of using the media the color of the beads on the numeracy skills of 1st grade students. This research is a systematic literature study. Based on this discussion, the media of colored beads is very effective for improving students' numeracy skills, because students have the opportunity to directly practice and train themselves to be skilled at counting. The results of the research are expected to provide an overview for developing further research regarding improving numeracy skills through learning media of colored beads in mathematics in elementary schools.
Evaluation of eXtended reality (XR) technology on motivation for learning physics among students in mexican schools

Developing countries, including Mexico, face the challenge of integrating technology to enhance education and improve learning outcomes. Despite evidence in many settings of the benefits of using virtual reality (VR) and augmented reality (AR) as learning tools, their potential use is still understudied in many developing regions. The objective of the present study is to evaluate the impact of a web-based eXtended Reality (XR) learning tool, PhysXR, among college-level students enrolled in a Mexican University. PhysXR is a web-based learning application designed to present users with information focused on Newtonian mechanics. This tool presents users with interactive experiences ranging from VR to AR environments and supports a physics simulator for experiments on physical phenomena of dynamics and kinematics. Overall, learning methodologies implemented using PhysXR follow the competency-based learning model implemented in Mexican Education Institutions, and include Learn by Doing and Problem Based Learning (PBL). In order to evaluate the PhysXR tool, 99 students were recruited and randomized to either experimental (VR and AR conditions using PhysXR) or control groups. Outcomes included student's learning and motivation, assessed using the John Keller's Attention, Relevance, Confidence and Satisfaction (ARCS) learning motivation model. Results from this study indicate that the use of the PhysXR tool, both VR and AR approaches, generates a significant improvement in learning gains and motivation compared with traditional methods, highlighting the potential of cross-platform capabilities that web-based XR technology could offer, as well as the use of real time physics simulations for learning.
Pembinaan Metode Dirosa Pada Masyarakat di Masjid Al-Mujahidin Desa Malimongeng Kec. Salomekko Kab. Bone

The purpose of this writer is to learn about how the dirosa method is used to read the Koran to the people of Malimongeng Village, Kec. Kab Salomekko Bone and to learn about the Malimongeng Village KKNP students' efforts to improve the community of Malimongeng Village, Kec,'s ability to read the Koran using the dirosa method. Salomekko Kab. Bone. A qualitative research method is used as the research approach, and it includes the following components: Data Sources, Data Collection Techniques, Data Analysis Techniques, Validity Data Checking, and Research Stages are all components of the research approach and design. Keywords: Dirosa's Development of Community
Drootkit: Kernel-Level Rootkit Detection and Recovery Based on eBPF

The concealment of rootkits makes them a significant security threat. Kernel-level rootkits can be extremely dangerous as they have high system privileges. A typical type of kernel-level rootkits is to hook system calls which are essential for overall system functionality. This paper presents drootkit, a tool to detect kernel-level rootkits that hook system calls. Additionally, drootkit can recover damaged systems. This tool utilizes eBPF technology, ensuring both flexibility and security. When installing new kernel modules, the virtual address range of the initial kernel code will not be affected. In light of this, drootkit conducts bounds checking on all system calls within the system. In the case of system calls being hooked, drootkit can detect and recover them while issuing warning messages. For testing purposes, this paper also implements a malicious kernel module that can hook system calls and run on the arm64 platform. We have conducted an experiment that confirms drootkit’s capability to detect rootkits while also effectively restoring the system. Moreover, drootkit has very low system overhead and does not significantly affect system performance, making it a reliable choice for a backend program that can run for an extended period of time.
DAQAS: Deep Arabic Question Answering System based on duplicate question detection and machine reading comprehension

As of late, various deep learning techniques and methods have shown their superiority to feature-based and shallow learning techniques in the field of open-domain question-answering systems (OpenQAS). However, only a few works adopted these techniques to build Arabic OpenQAS that can extract exact answers from large information sources (e.g., Wikipedia). In addition, no available Arabic OpenQAS integrated a module to identify duplicate questions to accelerate response time and reduce computation cost. In this paper, we propose an Arabic OpenQAS (named DAQAS) based on deep learning methods. It consists of three components: (1) Dense Duplicate Question Detection which returns answers to questions that already have been answered; (2) Retriever based on BM25 and Query Expansion by neural text generation; and (3) Reader able to extract exact answers given a question and the retrieved passages that probably contains the answer. All components of our system integrate deep learning models, specially transformers-based techniques, which have scored state-of-the-art in different NLP fields. We performed several experiments with publicly available question answering datasets to show the effectiveness of our system. DAQAS obtained promising results and scored 21.77% Exact Match and 54.71% F1 score when using only top 5 retrieved passages.
Review of the monograph by G.S. Malyshkin and V.S. Melkanovich “Classical and fast projection adaptive algorithms in hydroacoustics”

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