Reviewerly/exHarmony huggingface dataset:
Quantum blockchain: Unraveling the potential of quantum cryptography for distributed ledgers

The examination investigates the joining of quantum-safe cryptographic calculations into blockchain innovation, zeroing in on grid-based cryptography and hash-based marks. Because of the inescapable danger presented by quantum processing, this study proposes a quantum-safe blockchain system intended to upgrade the security and flexibility of circulated records. The cross-section-based cryptography calculation uses the computational intricacy of grid issues, offering protection from quantum goes like Shor's calculation. Simultaneously, hash-based marks give lightweight and quantum-safe choices for advanced marks, supporting the general validity of blockchain exchanges. The examination includes a multi-staged approach, incorporating a complete writing survey, hypothetical system improvement, algorithmic execution, and exhaustive investigation of versatility, execution, and information security. Reproduction results will illuminate ensuing equipment executions, approving the down-to-earth attainability of the proposed quantum-safe blockchain. Besides, the review digs into moral and administrative contemplations, adding to the foundation of capable rules for quantum-safe blockchain innovation. Insights into the performance of lattice-based cryptography and hash-based signatures, as well as the provision of a blueprint for future research in quantum-resistant distributed ledger systems, are among the anticipated contributions. The powerful idea of quantum advancements and blockchain requires continuous investigation, and the exploration makes way for future examinations concerning quantum-safe agreement components, upgraded Quantum Key Dispersion, and interdisciplinary coordinated efforts.
Rethinking Scene Graphs for Action Recognition

Over the last years, Graph Neural Networks (GNNs) have been widely used in a variety of applications, including action recognition. Scene graphs are extracted from videos and fed to a GNN in order to predict the action represented. However, in previous works, choices regarding the design of such scene graphs are often arbitrary; for instance, directed temporal edges are added without giving the GNN the capacity to use this information. In this work, we rethink the way scene graphs are built, taking inspiration from line graphs in order to propose a new design that can be applied to any type of human activity. We perform our experiments on 2 datasets and show that adapting our GNN so that it can make use of temporal edges improves its precision up to 7.5% for action recognition. We also show that adopting our alternate design for scene graphs further improves performance by an additional 14%, bringing new perspectives to this field.
Implementation of Ice Breaking in Increasing Student’s Spirit of Learning

The application of interesting and unique ice breaking can be a solution to overcome student boredom and saturation in learning activities. Exciting and fun ice breaking activities can strengthen connections, build concentration, improve communication, and create a warmer and friendlier atmosphere. Ice Breaking activities are generally used in several parts of the activity. One of them is when opening a lecture. The implementation of ice breaking in learning to reduce student learning boredom was carried out in the second semester of the Early Childhood Islamic Education Study Program, Al Hikmah Tebing Tinggi Tarbiyah Science College. Based on the research results, it appears that there is an effect of implementing ice breaking in reducing boredom and increasing student enthusiasm for learning. The decrease in learning boredom from the high to low category was inseparable from the influence of the implementation of ice breaking which was carried out over twelve meetings and saw a shift in students' attitudes from what previously looked tense to being cheerful. Ice breaking can foster interest in learning, make the atmosphere more comfortable and can increase student cohesiveness in class and during the lecture process. This research aims to explain the application of ice breaking in student learning activities in class. In this research, qualitative methods and literature study were used. The data obtained is collected, analyzed, and conclusions are drawn in the implementation of learning each week so that it can be seen and compared whether learning uses ice breaking or not.
A general stochastic model to handle deduplication challenges using hidden Markov model in big data analytics

Background: Since increased interest of consumers, cloud computing is needed to store and access the information about their data in their convenient way. In recent days, cloud computing offers many services stipulated by the internet. Data duplication is one of the main challenges in big data analytics that leads to increased data storage and processing time. Therefore, there is a need to develop a data deduplication process. It eliminates excessive copies of data as well as decreases the storage space. In order to preserve the accurate data information without any duplication, joint probability distribution computes the likelihood of two events occurring together at the same time and thus it leads to removing the redundant data before data is sent to the cloud server.Methods: this paper presents a GSM algorithm that uses hidden markov model, likelihood estimation, markov chain transition, and poisson distribution model.Findings: Joint probability distribution computes the likelihood of two events occurring together at the same time and thus it leads to removing the redundant data before data is sent to the cloud server.Novelty and applications: This paper proposes the general stochastic model (GSM) to handle redundant data by a multi-level process using hidden markov model (HMM), likelihood estimation, transition probability and poisson distribution model (PDM).
Integrated deep learning classification of Mudras of Bharatanatyam: A case of hand gesture recognition

Bharatanatyam is a famous Indian classical dance which incorporates the essence of hand gestures or mudras as a means of communication by performers. Bharatanatyam has around 28 single and 23 double hand gestures respectively. Recognizing the gestures is challenging due to minor structural differences between the gestures and presence of gestures with higher structural similarity. This work proposes a deep learning strategy combining Scale invariant feature transform features with convolutional neural network to address the challenge in accurate recognition of mudras. The gestures are segmented using active net based segmentation model to reduce the influence of background in gesture recognition. The gestures are then grouped based on similarity and convolutional neural network is trained for each group to solve the problem of classification in presence of higher structural similarity. Convolutional neural network with structural conflict minimization kernel is used to classify the gestures. The proposed model attained an accuracy of 95% in classification of mudras and it has lower false positives of 2%.
EAM: Enhanced authentication method to ensure the authenticity and integrity of the data in VM migration to the cloud environment

Cloud is a prominent technology today to provide computing resources to users. In previous days, industries or enterprise users are maintaining their data on-premises. Therefore, it creates many management issues in the industries. Cloud gives solutions to industries to maintain their data in the cloud data center. As a result, many industries are outsourcing their data to the cloud. When outsourcing, the data are migrated along with Virtual Machines (VM). During the migration, the data are vulnerable to attack. As a result, the data may tamper with fault content by the adversarial. Therefore, it is necessary to maintain data authenticity and integrity verification during the migration. This paper proposes an authentication mechanism to verify the data authenticity when migrated from on-premises to off-premises. The paper proposes a novel procedure to migrate the data in the virtual machine. After migration, the data is verified for authenticity using the proposed mechanism. An enhanced hashing procedure is proposed in the paper to verify the data authenticity. The proposed authentication mechanism is simulated in the cloud environment, and results are given in the tables and graphs. The results show that the EAM efficiently provides authentication and integrity of data migrated from on-premises to the cloud data center.
GPU based Gaussian Bilateral Filter for Noisy MR Image

The International Scientific Research Organization for Science, Engineering and Technology (ISROSET) is a Non-Profit Organization; The ISROSET is dedicated to improvement in academic sectors of Science (Chemistry, Bio-chemistry, Zoology, Botany, Biotechnology, Pharmaceutical Science, Bioscience, Bioinformatics, Biometrics, Biostatistics, Microbiology, Environmental Management, Medical Science, Forensic Science, Home Science, Library Science, Material Science Military Science, Physical Science, Physical Education Science, Educational Science, Fisheries, seed technology, Agriculture, Forestry Science, Mathematics, Physics, Statistics and Geology/Earth Science), Computer Science, Engineering and Information Technology, Commerce, Management, Economics Sociology and Social Science.
Empowering Teachers and Shaping Students: Enhancing Character Internalization through Read Aloud Training

Abstract. This study was done as part of a community service project to determine the possibility that Read Aloud training improves the ability of teachers to foster positive character traits in their students. The community service program is being carried out in Yogyakarta, Indonesia, at one of the Aisyiyah Bustanul Athfal Kindergartens. The data were gathered using a pretest as well as a posttest, and the Wilcoxon test was used to analyze the data. Training in reading out loud was the intervention that was provided to the responders between the pretest and the posttest. Accordingly, the responses were taken from five kindergarten teachers. Consequently, read-aloud training is an effective method for enhancing the capacity of teachers to engage in read-aloud activities in order to instill moral values in their students. The program has the potential to provide teachers with the strategies and abilities necessary to read a book with passion, establish emotional connections with students, and conduct dialogues that stimulate critical thinking and reflection
Strengthening Early Childhood Literacy Through Storytelling Activities

Abstract. The early childhood literacy strengthening program through storytelling activities is aimed at supporting the basic fundamental quality of early childhood in Kindergarten. The object of this program is a Kindergarten of 'Aisyiyah Bustanul Athfal (ABA) Ngentak, Pringinan, Tirtorahayu, Galur, Kulon Progo. Preliminary observations indicate the need to improve the quality of fundamental literacy through structured and measured storytelling activities. Therefore, the community development team strengthened fundamental literacy through storytelling activities using Gagne's event instructional design to focus students on storytelling activities. Afterward, students will be brought to discuss the stories and followed up with developing activities in the form of structured individual and class projects. Pre-test and post-test are given before and after the implementation of the storytelling activities targeting the components of alphabet knowledge, print awareness, and students' socio-emotional skills. The result shows that this program succeeded in improving the socio-emotional skills of students. This program has also succeeded in increasing students' interest in the letters of the alphabet and the print words listed in the book.
Strengthening Family Literacy Through Gerakan Ibu Mendongeng

Abstract. The family literacy strengthening program through Gerakan Ibu Mendongeng (the Mother Storytelling Movement) is aimed at improving the quality of the community's socio-cultural capital through family literacy activities that are in line with the efforts to strengthen family resilience and national character education. This activity is part of an empowerment program that specifically targets women and children in Tirtorahayu Village, Jogonalan Hamlet. The results of initial observations show that as many as 42.74% of the population in Tirtorahayu Village, Kapanewon Galur, Kulon Progo are still in the category of not completing elementary school, graduating from elementary school, and graduating from junior high school. However, interestingly, in Jogonalan Hamlet, community literacy activities, especially those related to Islamic aspects, have been going well. Nonetheless, studies that specifically focus on early childhood character education through storytelling activities have not occurred significantly. The implementation method includes the preparation stage, promotion of family literacy and Gerakan Ibu Mendongeng, promotion of some storytelling techniques, monitoring and evaluation of the movement activities by Teman Dongeng from the community service team, the inauguration of the Literacy Corner, and the mother’s storytelling stage. The results of the program showed an increase in family literacy activities through mother's storytelling activities for children, an increase in literacy activities for mothers in Posyandu (Integrated Service Post) through the literacy corner, and Ibu Mendongeng's performance on the literacy stage of the Jogonalan Hamlet community
Assistance in Teaching Indonesian Language and Culture to BIPA Students at Fatoni University, Thailand

Abstract. Indonesian is one of the languages ​​with the largest number of speakers in Southeast Asia with around 199 million speakers. The number of speakers is the highest in the Southeast Asia region. Under these conditions, Indonesian deserves to be used as the official language in communicating at the ASEAN level. To make this program successful, various efforts have been made by Indonesian language observers so that Indonesian is better known and mastered by foreign speakers, both in ASEAN, ASIA, and on other continents. Through this international scheme community service program, the program that will be carried out is language assistance to Indonesian Language learners for Foreign Speakers (BIPA), both formally and non-formally. The International Community Service Program (PPM) is carried out using the process assistance method which will be carried out formally in the academic environment and informally in the community, both BIPA students who are in the country (DIY-Central Java) and students abroad at Fatoni University (FTU). The mentoring process is carried out by servants assisted by domestic collaborators from UNY and UAD and international collaborators from FTU. During the mentoring, BIPA students will be given online speaking application media to help expedite the process of learning to speak Indonesian. The application to be used is an online application that can be accessed using a smartphone in the form of a simple conversation simulation. Through this program, it is hoped that BIPA students' speaking skills in the conversational aspect will increase.
Digitalization in Managing Waste through the Pasti Angkut Digital Platform

Waste management must be considered seriously. Poor waste management has the potential to amplify the negative impact on society. The adverse effects on health can result in infectious diseases. Furthermore, garbage makes the environment unattractive and uncomfortable, and it can even create disasters such as floods. This study was conducted in Panggungharjo Village, Sewon, Bantul, Indonesia. It was carried out by having observations and interviews with the community regarding household waste management. Due to advances in technology, waste management has been updated using the “Pasti Angkut” digital platform. The obstacle faced was that only some of the residents could use digital platforms. Hence, well-managed socialization and assistance were needed so that digital waste management could be implemented properly. The stages of socialization to implement the use of digital, the solutions to the problems faced by the community, and future challenges in digital waste management platforms are discussed in this article.
Improving Children's Literacy Culture through The Provision of a Mini Reading Garden

Abstract. The habit of reading or literacy culture in today's society is lacking. The influence of online digital developments and the use of gadgets for children has had a huge impact on society in the habit of reading books, the culture of playing children's games in the past and the habit of reading have almost disappeared, replaced by games on devices. Therefore, it is hoped that efforts to provide infrastructure facilities for reading, especially for children, can provide new enthusiasm so that their daily activities are not only spent playing with gadgets. This reading place is provided near the TPA learning area which has become a routine activity for children every afternoon. So that in addition to learning to read the Qur’an, it can be interspersed with time to read Islamic story books which can provide insight into children's knowledge of Islam by using the media of story books of Islamic stories.
Literacy Corner for Increasing Reading Awareness in Darmayasa Village

Darmayasa village is categorized as an area with difficult accessibility, landslide vulnerability, and other natural disaster vulnerability. The natural circumstance is not supported with proper public facilities to accommodate various basic needs of people including the need for education. Until today, Darmayasa Village is categorized as an underdeveloped village having only one public elementary school. To continue the study to the next level, people must take tens of kilometers. Regarding this, cultural literacy becomes important for the Darmayasa Village residents. Literacy is a movement an effort to cultivate human characters aiming to make both individuals and people have a culture of reading, writing, and good character to create lifelong learning in the community. Literacy activities must apply good management to design interesting activities until they can foster interest in reading and improve reading skills. This community service program focuses on four activities namely socialization, formation of a driving team, workshops, and library provision.
The Effect of Educational Qualifications and Teacher Professional Education Program on the Digital Literacy Skills of Early Childhood Educators

Digital literacy is mastered by Early Childhood Education (ECE) teachers because the first education obtained by early childhood will be the foundation and basis of child development in the future. This study aims to determine whether there is an interaction between academic qualifications and teacher professional education on digital literacy. This research is quantitative research with a survey type. The study was conducted in Malang City, with data distributed through a questionnaire (G-Form). The data collected was analyzed with Two Way Anova with the help of the SPSS 26.0 application. Based on the research findings, it is known that there are differences in digital literacy skills based on the academic qualifications of Early Chilhood Education teachers (H1 accepted), there are differences in digital literacy skills based on the participation of Early Chilhood Education teachers in the Teacher Professional Education program (H2 accepted), and there is an interaction between academic qualifications and teacher professional education on digital literacy of Early Chilhood Education teachers (H3 accept). Skill development programs need to be held by schools to improve teacher competence.
Design and Implementation of Mosque SD Muhammadiyah Ambarketawang 2 Gamping Sleman

One of the facilities owned by SD Muhammadiyah Ambarketawang 2 is a 36 m2 prayer room. The facility was deemed insufficient to foster students in the field of religion, so they added new facility in the form of a mosque with a size of 10 m x 11.5 m having two floors. For this purpose, experts were needed to be able to design the building. From the results of the service, the required Mosque Design and Budget Plan were created.
Optimasi Rute Distribusi Bantuan Logistik Kesehatan ke Daerah Rawan Bencana Banjir di Kota Yogyakarta

In the context of flood risk mitigation in Yogyakarta City, particularly in the districts of Gondokusuman and Umbulharjo, this study highlights the significant impact of geographical factors and high rainfall intensity. Floods not only cause damage to infrastructure but also pose a serious threat to public health. Flood-prone areas often become breeding grounds for diseases that can spread rapidly, especially in emergency conditions. This research aims to identify optimal routes for the distribution of health logistics in dealing with flood disasters in Yogyakarta City. Using the Simulated Annealing (SA) algorithm, the study compares the optimization results of distribution routes without clustering and with clustering (based on districts). Findings indicate that the use of clustering is effective in minimizing the distance and travel time of distribution, with the clustering scenario emphasizing time efficiency. The contribution of this research lies in the development of responsive and efficient health distribution strategies during flood emergencies. Thus, the implementation of the SA algorithm and clustering can serve as a foundation for better emergency response planning, providing tangible benefits for those involved in flood disaster management in the region.
Development of Early Childhood Science Literacy E-Modules Base Learning Project Method

Learning science Not yet held optimally in Kindergarten Because Not yet availability of facilitating learning media child For carry out activity learning. This is also based on that based on results Pisa 2022 with the score dropped from year Previously, it was caused by facilities learning and learning media used. The main purpose study This is For developing method project literacy science. Literacy science based _ The base learning project is a centered learning model to child, so educator as facilitator. Types of research This use preliminary research which is part from study This is the model used is adopted development from Borg Gall. Instruments used questionnaires and guidelines observation. Subjects involved _ are teacher and child age early childhood aged 5-6 years, totaling 14 children. Analysis done with method percentage, results analysis explained based on formulas and processing in data collection, planning, development draft product, and testing as well as revision from test results that have been carried out done. The implications can used in activity diverse and interesting learning _ with literacy science.