Reviewerly/exHarmony huggingface dataset:
Pengembangan Game Edukasi Sebagai Media Pembelajaran Berbasis Android Pada Materi Bangun Ruang Kelas VII SMP Negeri 1 Geger

This study aims to determine the level of validity, effectiveness and practicality of the development of educational games as an Android-based learning media on Building Space material. This research was conducted at SMP Negeri 1 Geger with the research subjects being class VII students. The research method used is ADDIE (Analysis, Design, Development, Implementation, Evaluation). The instruments used in this study include product validation sheets aimed at measuring the validity level of the product being developed, student response questionnaire validation sheets aimed at validating student response questionnaire sheets before being handed over to students, student response questionnaire sheets aimed at measuring the level of practicality of the product being developed as well as test questions aimed at measuring the level of effectiveness of the product being developed. The results showed that educational games as learning media based on Android met (1) valid criteria with a validity percentage of 83%, (2) practical criteria with a practicality percentage of 87.27%, (3) effective criteria with an average N-Gain of 0, 60. Based on the data obtained, it shows that educational games as learning media based on Android meet the valid, practical and effective criteria so that they are suitable for use as learning media in the mathematics learning process.
以紀凱淵「地方三部曲」分析臺灣當代錄像藝術的抒情缺位

&lt;p&gt;嚴格來說，藝術家紀凱淵的創作特質，無法用太過單一的類型進行理解。從早期的行為記錄、限地製作，到後來更為多樣性的進行複合媒材、錄像裝置創作等。換言之，紀凱淵的創作精神，主要仍然圍繞於其欲探索的美學議題，再根據創作需求進行媒介轉化。有趣的是，近年貫穿於「地方三部曲」系列作品的創作方法，多聚焦在非敘事性的錄像表現手法。尤其在「似即若離」（2022）個展中，可以發現紀凱淵延續〈72海浬〉（2020）作品的抒情語境，透過輕薄及隱晦的蒙太奇影像，卻是滿溢著情感的心境，來進行一種忽遠又忽近的場面調度。臺灣當代錄像藝術作品，近年來有不少內容利用增補式的想像歷史，部署錄像作品中的調研檔案，並且透過畫外音的語意實踐，進行一種探究式的描述與外顯。相較之下，紀凱淵「地方三部曲」系列中的錄像風格，看似與今日多數作品格格不入，但事實上，透過臺灣錄像藝術作品的史觀回顧，我們可以發現這類型抒情語境的創作手法，在2000年至2010年間，曾經有過為數不少的比例。據此觀之，本文的問題意識，即是冀望透過紀凱淵「地方三部曲」的錄像作品分析，與臺灣曾經在某段時期的創作潮流，進行比較論述，藉此探究近年臺灣錄像藝術作品中抒情缺位的現象。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Strictly speaking, the characteristics of artist CHI Kai-Yuan’s creations cannot be understood by using a single genre, in terms of the early days of behavior recording and limited-site production, as well as the more diverse mixed media and video installations later on. In other words, the spirit of CHI Kai-Yuan’s creation still revolves around the aesthetic issues he wants to explore, and then transforms by the media according to the needs of creation. Interestingly, in recent years, the creative method that has been used in the &amp;quot;&amp;quot;Place Trilogy&amp;quot;&amp;quot; series is mostly focused on the non-narrative video technique. In particular, in the solo exhibition &amp;quot;&amp;quot;Traversing and Passing&amp;quot;&amp;quot; (2022), it can be found that CHI Kai-Yuan continues the lyrical context of the work &amp;quot;&amp;quot;72 nautical miles&amp;quot;&amp;quot;, and through light and obscure montage images, but with an overflowing emotional state of mind, a distant and near scene is modulated. In recent years, many contemporary video art works in Taiwan have used supplementary imaginative history to deploy the research files in video works, and through the semantic practice of off-screen voices, inquisitive description and externalization are conducted. In contrast, the video style in CHI Kai-Yuan’s &amp;quot;&amp;quot;Place Trilogy&amp;quot;&amp;quot; series may seem out of step with most works today, but in fact, through a historical review of Taiwanese video artworks, we can find that this type of lyrical contextual creative technique was used in a significant proportion of works between 2000 and 2010. From this perspective, the focus of this paper is to analyse the creation of video works through CHI Kai-Yuan’s &amp;quot;&amp;quot;Seemingly Separates&amp;quot;&amp;quot; solo exhibition and compare it with the creative trends in Taiwan during a certain period of time, in order to explore the phenomenon of lyrical absence in recent Taiwanese video art works.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
PENGARUH PENGGUNAAN MEDIA PERMAINAN MONOPOLI TEREHDAP HASIL BELAJAR SISWA PADA MATA PELAJARAN PPKN SISWA KELAS V SD NEGERI 19 AMBON

This study aims to determine whether or not there is an influence of the use of monopoly game media on the learning outcomes of PPKN class V SD Negeri 19 Ambon. The formulation of the problem is whether the use of monopoly game media affects the learning outcomes of PPKN siwa kela V SD Negeri 19 Ambon? This type of research is pre-experimental research. This research was conducted in three stages, namely pretest, treatment and posttest. The subjects in this study were 28 grade V students. The technique used is to collect the above data including questionnaires, tests, namely using descriptive statistical analysis and differential analysis. The formula in this study is percentage, mean to find the value of the normality test and t test using the SPSS application version 26. The results showed that with the use of monopoly game media on the learning outcomes of PPKN grade V students of SD Negeri 19 Ambon. This is evident from the increase in student learning outcomes, the research carried out obtained the following results: Student learning outcomes at the pretest stage were in the average high category with 73.71% and at the posttest stage were in the very high high category with an average of 81.07%, In the hypothesis test that shows learning outcomes, the value of t has a greater number of 3.961 compared to the value of t table, which is 1.703 (tcalculate = 3.961 &gt; tcalculate = 1.703) and follow the rules of decision making or significant criteria, namely tcalculate &gt; tcalculate, then Ho = ditolah and Ha = accepted, which means there is an influence on the use of game media, monopoly, monopoly learning on the learning outcomes of students of PPKn Shiva class V SD Negeri 19 Ambon. From the discussion that has been carried out, it can be decided that it is the use of monopoly learning game media on the learning outcomes of class V students of SD Negeri 19 Ambon, especially the material Application of Pancasila Values in Daily Life. Thus, this monopoly game media is feasible to improve student learning outcomes.&#x0D; &#x0D;
Ballot and Beyond: Exploring Blockchain Voting

Abstract: The conventional voting system faces widespread distrust, necessitating a shift towards democratic voting in nations. The suggested platform offers a framework that can be used to perform blockchain-based digital voting without the need for actual polling places. Our suggested design makes use of adaptable consensus algorithms to enable a scalable blockchain. The voting process can be made more secure by the voting system’s application of the Chain Security Algorithm. In the process of carrying out a transaction in the chain, smart contracts offer a safe connection between the user and the network. It has also been argued how secure the voting mechanism based on blockchain is. Furthermore, elaborated are the methods for preventing 51 percent attack on the blockchain and encrypting transactions using cryptographic hashes. Additionally, using Blockchain, the procedure for conducting blockchain transactions during the voting process has been developed. Ultimately, the suggested system’s performance review demonstrates that a sizable population can use the system. In conclusion the proposed blockchainbased voting system aims to build trust between government and voters, make the voting process transparent and trustworthy, and improve the level of the electoral system’s reliability, traceability, and trust.
Unlocking Semantic Dimensions: Harnessing AI for Next-Gen Natural Language Understanding

Abstract: This research paper represents a comprehensive exploration into the interplay between two pivotal concepts: "Unlocking Semantic Dimensions" and "Harnessing AI," constituting a groundbreaking initiative poised to propel the evolution of Next-Gen Natural Language Understanding (NLU). In the contemporary landscape characterized by swift and remarkable advancements in artificial intelligence (AI), the primary objective of this study is to delve into the multifaceted layers of meaning inherent in human language, transcending the limitations of traditional linguistic analyses. In response to the burgeoning complexity of linguistic understanding, this research places a strategic emphasis on the integration of cutting-edge AI technologies. Positioned at the forefront of this intellectual endeavor, the integration seeks to redefine established NLU paradigms. This ambitious redefinition extends beyond the mere comprehension of syntax and grammar, venturing into the nuanced subtleties of semantics and context inherent in human expression. The ramifications of this research extend far beyond the realm of theoretical inquiry, offering tangible promises in the form of practical applications. The integration of advanced AI technologies holds the potential to revolutionize various facets of daily life, particularly in refining virtual assistants, chatbots, and bolstering the accuracy of sentiment analysis. These practical applications stand as testament to the real-world impact of bridging the theoretical constructs of linguistic theory with the formidable capabilities of AI. Navigating the intricate intersection of linguistic theory and AI capabilities, this paper makes a significant contribution to the ongoing discourse surrounding the transformation of human-computer communication. The envisioned future is one in which machines not only respond to explicit commands but also demonstrate a profound understanding of the rich tapestry of human expression. As we embark on this intellectual journey, the synthesis of linguistic theory and AI prowess promises to chart new territories in the ever-evolving landscape of NLU, providing valuable insights into reshaping the future dynamics of human-machine interaction.
Sign Language Detection of English Alphabets for Deaf and Dumb People

Abstract: This research explores the implementation of a robust system for sign language detection designed to facilitate communication for individuals who are deaf and dumb. Leveraging the capabilities of Python, Mediapipe, OpenCV, and Scikit Learn, our proposed system focuses on real-time hand sign recognition of English alphabets. The framework employs Mediapipe for hand landmark detection, enabling precise tracking of hand gestures. OpenCV is utilized for image processing, allowing efficient handling of video streams. The combination of these tools enables the extraction of relevant features from hand signs, forming the basis for our recognition model. The core of our system is built upon the Random Forest algorithm from Scikit Learn, implementing machine learning for the classification of hand signs. This approach ensures adaptability to various hand shapes and orientations, contributing to the versatility of the system. The proposed solution aims to bridge communication gaps for individuals with hearing and speech impairments, empowering them to express themselves through sign language. Through real-time detection and interpretation of hand signs, our system provides a valuable tool for enhancing communication and fostering inclusivity for the deaf and dumb community.
Air Quality Monitoring with Speech Announcements

Abstract: In this project, we design and develop an advanced weather station system using an ESP32 microcontroller, temperature sensor, humidity sensor, and air quality sensor. The primary objectives of this project are data collection, visualization, and auditory feedback. The ESP32 microcontroller acts as the central processing unit and connects to the internet via Wi-Fi to transmit real-time sensor data to an IoT platform. This platform stores and manages the data, making it accessible from anywhere with an internet connection. Users can monitor temperature, humidity, and air quality remotely through a userfriendly web interface Additionally, the project incorporates a display screen that provides local, real-time weather information for on-site users. This display enhances the accessibility of weather data, even in the absence of internet connectivity. To ensure inclusivity and accessibility, the system employs a speech-to-text algorithm implemented in Python. At predefined intervals, the system announces the sensor data via a speaker using text-to-speech (TTS) technology. This feature aids visually impaired individuals in accessing weather information in an auditory format. The combination of sensor integration, IoT connectivity, data visualization, and text-to-speech capabilities creates a comprehensive and user-friendly weather monitoring system suitable for both personal and public use. This project demonstrates the potential of IoT technologies to improve data accessibility and inclusivity in weather monitoring applications. IQ test continue to be one of most reliable tools to measure intelligence skills of the human. The Intelligence Quotient (IQ) tests and the corresponding psychometric explanations dominate both the scientific and popular views about human intelligence. Though the IQ tests have been in currency for long, there exists a gap in what they are believed to measure and what they do. While the IQ tests index the quality of cognitive functioning in selected domains of mental repertoire, the applied settings often inflate their predictive value leading to an interpretive gap.
AWARENESSES AND APPROACHES REGARDING EDUCATION AND THE VALUE SYSTEM

Nowadays, awareness and approaches to education and value system are increasingly discussed in academia. Education is a major element in the formation of values and attitudes, and the right approach can have a significant impact on both individual and collective development. Research in this field addresses essential topics such as the influence of the socio-economic environment on education, the role of the family in the transmission of values, the approach to inclusive education, but also the impact of technology on the value system. In addition, we focus on the importance of developing a strong ethical and moral value system and the result that can promote social cohesion, grow the economy and, more importantly, improve people's quality of life. Through this work, we want to reflect the importance of understanding and applying these awarenesses and the fact that a responsible attitude towards these approaches could contribute to the development of a more effective and valuable educational system for all students.
MEDIA LITERACY IN PRIMARY SCHOOL – BETWEEN COMPULSORY CURRICULUM AND “SCHOOL DIFFERENTLY” PROGRAM

. In contemporary society, given the ever-increasing place it occupies, from the earliest ages, media and technology in children’s lives, a coherent and responsible approach is required to familiarize them with the implications of the information disseminated, with emphasis on receiving and decoding messages transmitted by media, on differentiating false / misleading / manipulative information, on critical reporting on messages, etc. In this context, the objective of this article is to identify references to media literacy in two types of documents: (a) the compulsory curriculum for primary school, in Romania; (b) lists of activities that schools (from urban and rural areas) in Romania have proposed for the “School differently” program. The identified elements will represent premises for analyses and projections at the primary school level, regarding both the exploitation of data from the compulsory curriculum, and the design of activities that involve media literacy.
Blockchain-Based Compact Verifiable Data Streaming With Self-Auditing

The primitive of verifiable data streaming (VDS) provides a secure data outsourcing solution for resource-constrained users, that is, they can stream their continuously-generated data items to untrusted servers while enabling publicly verifiable query and update. However, existing VDS schemes either require the server to store the authentication tags of all data items to support data query and auditing, or bind all data items into a constant-size tag to achieve optimal storage on the server side, but cannot achieve public auditing. To close this gap, in this paper, we first design a novel authentication data structure, dubbed retrievable homomorphic verifiable tags (RHVTs), which allows users to aggregate the authentication tags of all data items into a constant-size tag, and enables them to retrieve the original tags from the aggregated tag when necessary. Based on this, we propose a compact verifiable and auditable data streaming (CVADS) scheme, which adopts a single-level authentication mechanism to achieve more efficient data append and update, as well as optimal storage and public auditing. For better robustness and performance, we introduce a nested dual-level authentication mechanism and propose a blockchain-based CVADS (BCVADS) scheme to achieve a distributed CVADS with self-auditing. Finally, we prove the security of our schemes in the random oracle model and demonstrate their practicality through a visual performance evaluation.
Quantum weight enumerators and tensor networks

We examine the use of weight enumerators for analyzing tensor network constructions, and specifically the quantum lego framework recently introduced. We extend the notion of quantum weight enumerators to so-called tensor enumerators, and prove that the trace operation on tensor networks is compatible with a trace operation on tensor enumerators. This allows us to compute quantum weight enumerators of larger codes, such as the ones constructed through tensor network methods, more efficiently. We also provide a general framework for quantum MacWilliams identities that includes tensor enumerators as a special case.
Data Encryption: A Compiler Based Approach

In today's age, where data security's a growing concern it is crucial to develop strong encoding and decoding models. In our research paper we introduce a model that combines concepts, from compiler design with diverse hashing algorithms. This model aims to offer an efficient solution for transforming and retrieving data. As technology advances rapidly and the need for data security becomes more prominent in real world scenarios our model tackles the challenges of safeguarding information while ensuring integrity and confidentiality. By utilizing hashing algorithms like SHA, BLAKE2 and MD5 we achieve data encryption. Our experiments demonstrate that our model outperforms approaches showcasing its effectiveness across industries where protecting data privacy is of utmost importance. With its user interface our model provides a solution for secure data transmission and storage contributing significantly to advancements in data security and encryption techniques.
Enhancing Track And Trace: A Blockchain Use-Case In Supply Chain Management Systems

Blockchain technology has opened up new possibilities for enhancing supply chain management since it provides transparent, secure, and unchangeable transactional records. This paper presents a revolutionary approach to supply chain management that uses real-time tracking on a blockchain platform with dynamic QR code updates. The proposed system combines a number of cutting-edge technologies and uses AWS cloud services to enable the continuous flow of information across the supply chain, providing stakeholders with unmatched visibility and traceability of things. Key advantage is using a hash value to be attached for every new product to be shipped; this helps in keeping up with the live tracking in a much more efficient and organized manner. The use of dynamic QR code updates is one of the study's major advances. Each product or cargo is given a special QR code that contains pertinent data about the item, such as its origin, quality, and history of transit. Every time the product passes through a checkpoint in the supply chain, the QR code is scanned and updated, ensuring that all parties have access to the most recent, correct information. With the help of this dynamic updating mechanism, information asymmetry is eliminated, transparency is improved, and decision-making is made easier and faster.
The historical minute as a didactic strategy for the achievement of communicative competence

Introduction. The dynamic nature of architecture as profession demands a shift towards competency-based education to enable relevant performance by future professionals. One of the core competencies is communicative skills, which poses a challenge for teachers dealing with students educated during the pandemic. This study described the implementation of the historical minute dynamic to develop communicative competence. Methods. A quasi-experimental, transactional study with a quantitative approach conducted in four sessions within the History of Architecture II class at Universidad Tecnológica Centroamericana (UNITEC) in San Pedro Sula, Honduras. Results. The historical minute dynamic enhanced students' verbal fluency despite not influencing their perception of oral expression skills. It strengthened group work capabilities and creativity in realizing ideas. Conclusion. The perception of oral expression skills by the students themselves suggests refining the didactic strategies in line with the learning styles, to have a more significant impact on the achievement of communicative competence.