Reviewerly/exHarmony huggingface dataset:
Privacy-preserving Trust Management for Blockchain-based Resource Sharing in 6G-IoT

6G-enabled IoT demands effectively utilising scarce resources to provide massive scale in network capacity. While blockchain-based resource sharing schemes have been proposed to enable effective resource allocation, they alone cannot ascertain the trust in the participating nodes, as they do not monitor node activities during the resource sharing. Trust and Reputation Management (TRM) can potentially solve these trust issues. However, changeable keys employed in blockchains to improve privacy preservation may render the TRM unusable, as the same node is no longer identifiable by a single key to which the trust and reputation scores are bound. This paper proposes a privacy-preserving TRM for blockchain-based resource sharing in 6G-enabled IoT networks. Our solution employs interconnected public-private blockchains, namely Isolated Identity Chain and Main Resource-sharing Chain to protect nodes' identity. Our TRM framework allows the nodes to use changeable keys in each transaction, making it impossible to trace the sharing history. The experimental results on a proof-of-concept implementation indicate the feasibility of our framework as it only incurs minimal overheads.
W3Chain: A Layer2 Blockchain Defeating the Scalability Trilemma

Scalability trilemma is a classical research topic in the area of blockchains. To defeat such trilemma, many previous solutions have been proposed. However, none of those previous solutions can break such scalability trilemma. In this paper, we present a new Layer2 blockchain called W3Chain, which is promising to deliver high transactions per second (TPS) while defeating the scalability trilemma of a public blockchain. To enable the claimed performance, we particularly design our W3Chain by decoupling the correctness of the blockchain into two parts and adopting several crucial technical issues such as the reconfiguration of committees, the design of query APIs, and the handling of cross-shard transactions. We also propose a Time-Beacon Chain (TBChain) to record pivotal data of W3Chain. To show the correctness and safety features, we rigorously analyze multiple properties of W3Chain, including decentralization, scalability, and security under typical attacks. Finally, we conduct extensive simulations using Ethereum's historical transactions to examine the proposed W3Chain. The evaluation results show that our W3Chain can achieve a TPS as high as 10K+, and much lower transaction confirmation latency compared with Ethereum.
Utilization of Learning Videos during Covid 19

Education is a place to gain knowledge and knowledge and to develop the creativity of students, and education is very important for life because with this education we can grasp the world. At the end of 2019 the world was shocked by a virus originating from Wuhan, China called the corona virus or covid 19, which has disrupted human health and has claimed many lives from around the world. And with this it has an impact on education and the economy in Indonesia. And with this, education came to a halt, so the government decided to switch face-to-face learning to online learning. The point is to break the chain of spread of covid 19, and in Indonesia the government is also implementing PSBB and issuing laws to prohibit Indonesian people from gathering and implementing social distancing. And the government also prohibits people from doing activities outside the home and is required to keep their distance. And with this pandemic, teachers are very much required to be able to teach online and be able to develop online teaching materials properly and efficiently, and to carry out online education learning using technology to communicate, one of which is whats 'ap and develop teaching materials using the kine application. Master for editing learning videos. The kine master application is an application that can be installed on laptops and on android, and this kine master application also has many interesting features and it is also easy to understand and use. For novice educators who want to edit videos, it is highly recommended to use the Kine Master application because it not only edits videos, but we can also create interesting animated videos.
Non-Abelian strings

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Feature tracking and matching for wide-baseline images with closed-loop sequence

Variations in wide-baseline images occur depending on the viewing angle in a three-dimensional reconstruction of oblique photography, leading to instability in interest-point extraction. Traditional methods, however, invalidate wide-baseline images. In this study, a feature-tracking and matching algorithm based on the analysis of closed-loop images is proposed for wide-baseline images. First, the points of interest in each image were extracted using the SuperPoint algorithm. Continuous pairwise matching was then performed using the SuperGlue algorithm. The matching results were used for feature tracking in both the forward and backward directions, and the feature tracking results were combined. Finally, the algorithm filters the points to obtain an optimal matching result. Comparative experiments demonstrated that this method significantly outperforms the existing conventional methods. The proposed method is robust, obtains matching points more uniformly, and performs better than traditional methods for wide-baseline images.
Training Secondary English Teacher Competence at Toba Regency through Simulation Technique

The success of the learning process is inseparable from the competence of the teacher. As one of the determining factors for the success of learning, teachers are expected to continue to improve competency and literacy by adjusting to the times. However, with the end of the Covid 19 Pandemic hitting the world, learning platforms that used to use online learning have been changed back to using conventional learning modes. Realizing this transition, the Community Service Team from the Faculty of Cultural Sciences, University of North Sumatra conducted pedagogic training and increased literacy for English teachers throughout Toba Regency, North Sumatra Province from 15 May to 31 May 2023 in Balige, Toba Regency. By adopting an Action research pattern, this program was successfully implemented where the training participants consisted of junior high school teachers whose schools were mostly located in remote and isolated areas. The results of this community service program succeeded in increasing the literacy of English teachers in preparing teaching plans, and teaching practices, and evaluating innovative English lessons. The training participants hope that this activity can be carried out regularly and continuously so that English teachers in the District have good pedagogical literacy and can improve the quality of English learning. Keywords: Improving; Literacy; English Teacher; Simulation
Peningkatkan Hasil Belajar Siswa melalui Penggunaan Media Gambar pada Pembelajaran Perkalian Kelas 2

The purpose of this study to address the problem of low student mathematics learning outcomes is to apply a model/strategy that can improve mathematics learning outcomes. So this study aims to examine and find out how the learning process using image media improves learning outcomes in mathematics on multiplication material. The type of research conducted was Classroom Action Research (CAR) with data analysis techniques using a quantitative descriptive approach. The subjects of this study were grade 2 elementary school students at SDN SUDIMARA 2. The results of this study indicated that there was an increase in learning outcomes in teaching effectiveness.
Implementation of Scrum Framework Agile Method to Develop Integrated Asset Management Information System at Universitas Diponegoro Inventory Module

Diponegoro University Property (BMU) requires an inventory process by the assets and logistics division at least once every five years. The inventory process is still manually. So it is necessary to develop an Integrated Asset Management Information System Inventory Module. The development of an information system that used the Big Bang and Use Case Points method, in this study the Agile method with Scrum Framework will be implemented based on considerations. Scrum as a framework that implements Sprints to break down complexity and accommodate priority features that need to be built from an information system, also divides the roles in implementing development into Product Owner, Developer Team and Scrum Master. The results of implementing this method can be a solution to several problems that arise during development, that is : dividing roles with existing teams, accepting all updates and changes originating from user evaluations through mutual agreement, work transparency which can be a reference in assigning the workload of each team members, regular periodic inspections to remind each member of development targets and goals, as well as adapt to implementing conditions, especially in adjusting communication and implementation times. So make information system development time can implemented shorter.
PENERAPAN METODE EXTREME PROGRAMMING PADA APLIKASI PENGOLAHAN DATA ALAT KERJA BENGKEL TRUK BERBASIS WEBSITE (STUDI KASUS PT SUMBER PRIMA INTI MOTOR)

PT Sumber Prima Inti Motor is a company engaged in Maintenance and Repair Services for Trucks and Trailers. In addition to maintenance and repair, work tools are needed that are in accordance with their functions and uses. Work tools are stored in a special room for use and loan. In borrowing tools, they are recorded manually so that data errors occur in reporting goods both in and out, damage to tools and loss of goods, as well as inaccurate and up-to-date tool data. Therefore, the researchers applied the Extreme Programming method to the web-based work tool data management application. Extreme Programming.
Relevance of nursing consultation in care for oncological patients under chemotherapy treatment – experience report

The National Cancer Institute (INCA) released updated data on the cancer scenario in Brazil, with an estimated incidence of 625,000 new cases of cancer (450,000, excluding cases of non-melanoma skin cancer) for each year of the triennium 2020-2022. Given these facts, we found the need for nursing action that not only provided technical assistance, located in the outpatient setting, but that this assistance was extended to the home, through the care of the patient himself, or of family members and caregivers. According to Pinheiros (1999), the nurse, in performing her role as an educator, aims to promote, maintain and restore health, teaching skills, and attitudes, as well as modify inappropriate or unacceptable behavior by society. Therefore, this educational activity can be provided by the nurse through the nursing consultation, which aims to provide specialized and individualized care to the client, through a contextualized and participatory approach. Thus emphasizing the relevance of the nursing consultation for establishing a bond with the patient, family member, and/or caregiver; guiding them about self-care, clarifying what chemotherapy is, and managing the side effects of antineoplastic treatment, thus favoring increased adherence and treatment success.
Strategic Controls and Organizational Performance in Rwanda. A Case of Duterimbere IMF PLC

The purpose of this study was to investigate the influence of strategic controls on organizational performance in Rwanda, with the case study of Duterimbere IMF PLC. The study was guided by four specific objectives: the influence of implementation control, premise control, special alert control, strategic surveillance control, and organizational performance. Using the Granular Formula, a sample size of 127 was calculated from a target population of 188. This research used an exploratory design. This design allowed the research to use mixed approaches, such as quantitative and qualitative data. The researcher used a questionnaire and interview guide as data collection instruments, and employed SPSS Version 26 for the analysis of quantitative data, while content analysis techniques were used for qualitative data. The information from each item of the questionnaire and interview was coded and categorized, and then the data were presented and discussed. The findings showed that regarding setting performance standards, the majority of respondents agreed with the statement, with a mean of 4.74 and a standard deviation of 0.440. About 74.0% strongly agreed with the statement. Concerning the extent to which monitoring and evaluation as an implementation control contributes to organizational control; the results showed that the majority of respondents strongly agreed with the statement, at 51.2%. Regarding setting measures to collect, respondents agreed with the statement, with a mean of 4.69 and a standard deviation of 0.466. About 68.5% strongly agreed with the statement, and 31.5% agreed with the statement. The study concluded that implementation control, premise control, special alert control, and strategic surveillance contribute significantly to organizational performance. The combination of these independent variables influenced organizational performance at 74.1%. This conclusion was also supported by a P-value of 0.000, which is below the predetermined level of 0.05, indicating statistical significance of the independent variables to the dependent variable. Keywords: Strategic Controls, Organizational, Performance, Duterimbere IMF Plc, Rwanda &nbsp
Review of Underwater Image Enhancement Using CNN and U-net

Due to environmental scattering, images taken in the underwater environment still exhibit color distortion, loss of resolution, and decreased contrast. The suggested study presents a method for enhancing the aesthetic appeal of underwater photography. Yet, because of unwanted staining, decreased contrast, and detail loss brought on by light scattering and absorption, photos that are directly taken in the marine environment are still highly damaged, drastically limiting the amount of information that can be extracted from the image. Thus, acquiring precise and clear photographs is a crucial requirement for aiding scientists in their understanding of the underwater environment. The CNN algorithms are employed in many different applications, including Identification of the object, tracking, recognition, and navigation. Separating the water component from the other component is the most important step here. To get rid of water from a color image, we're suggesting a practical technique.
MAQASHID SYARIAH DALAM MANAGEMENT PENYELENGGARAAN IBADAH HAJI

Hajj management aims to provide the best possible guidance, service and protection through a good management system and management so that the pilgrimage can run safely, orderly, smoothly and comfortably in accordance with Islamic teachings. Pilgrims to be able to carry out their worship independently until they get a mabrur hajj. The system for organizing the pilgrimage is continuously undergoing changes and improvements. The increasing number of citizens to perform the pilgrimage needs to improve the quality of organizing the pilgrimage that is comfortable, orderly and in accordance with sharia provisions, so that sharia goals can be achieved. The paradigm in this paper is critical spiritualist with the perspective of maqashid sharia. Paradigma is the basic assumption regarding the subject matter, purpose and nature of the study material being studied. The applied research paradigm is a literature study with a qualitative approach. At the managerial level, the implementation of the pilgrimage is included in maqashid daruriyah (primary). Because its existence is sufficient to determine the continuity of the implementation of the pilgrimage. Because if it is not implemented and organized properly it will result in chaos and even result in the non-implementation of the pilgrimage.
Comparison of Distance Function in K-Nearest Neighbor Algorithm to Predict Prospective Customers in Term Deposit Subscriptions

Data mining is often used to analysis of the big data to obtain new useful information that will be used in the future. One of the best algorithms in data mining is K-Nearest Neighbor (KKN). K-NN classifier is a distance-based classification algorithm. The distance function is a core component in measuring the distance or similarity between the tested data and the training data. Various measure of distance function exist make this a topic of kind literature problems to determining the best distance function for the performance of the K-NN classifier. This study aims to compare which distance function produces the best K-NN performance. The distance function to be compared is the Manhattan distance and Minkowski distance. The application of K-NN classifier using bank dataset about predict prospective customers in Term Deposit Subscriptions. This study show that Minkowski distance on K-NN algorithm achieved the best result compared to Manhattan distance. Minkowski distance with power p = 1.5 produces an accuracy rate of 88.40% when the K value is 7. Thus, performance of K-NN algorithm using Minkowski distance (p=1,5, K=7) is best algorithm in predicting prospective costumers in Term Deposit Subscription
Self Organizing Maps Method for Grouping Provinces in Indonesia Based on the Landslide Impact

Indonesia is a disaster-prone country due to its climatic, soil, hydrological, geological, and geomorphological conditions. A disaster is an event or chain of events that threatens and disrupts people's lives and livelihoods. A natural disaster is a disaster caused by an event or series of events caused by nature such as a landslide. The number of landslide disaster events in Indonesia varies from province to province, this is due to differences in the characteristics of each province in Indonesia. So that the impact caused by the landslide disaster is also different. Therefore, it is necessary to group and profile so that it can be known which province has the largest impact on landslide disasters. This study used the Self Organizing Maps method in a grouping. The number of clusters to be formed is 3 based on the optimal value of internal cluster validation (Dunn, Connectivity, and Silhouette Index). Cluster 1 consists of 31 provinces, and the average impact of landslides is small. In cluster 2 consisting of 2 provinces, there are 4 dominantly more significant impacts. Cluster 3 consisting of 1 province has 1 dominant impact greater. So it can be concluded that most provinces in Indonesia have a relatively small impact on landslide disasters. However, some provinces have a very large impact on landslides, namely the provinces of West Java, Central Java, and East Java.
The Influence of the PQ4R Learning Model on the Ability to Ask for Procedural Texts of Class VII Students of MTsN 6 Padang

This research is motivated by the low ability of students in identifying procedural texts. The purpose of this study was to describe the effect of the PQ4R learning model on the ability to identify procedure texts. This type of research is quantitative, with experimental methods. The instrument used is an objective test. The results of this study are as follows. First, the level of ability to identify procedure texts without using the Cooperative learning model Type PQ4R VII graders at MTsN 6 Padang obtained an average score of 71.20 with a classification of 66-75%, which is more than adequate (LdC). Second, the level of ability to identify procedure texts using the Cooperative learning model Type PQ4R VII graders at MTsN 6 Padang obtained an average score of 79.76 with a classification of 76-85%, which is good (B). Third, from the results of data analysis that has been done that the use of the PQ4R Type Cooperative learning model has a significant effect on increasing the ability to identify procedure texts, it can be seen that the alternative hypothesis (H1) is accepted at a significant level of 95% and dk = n-2 because tcount &gt; t table (5.78&gt;1.66). In other words, there is an effect of using the PQ4R Type Cooperative learning model on the ability to identify procedural texts for class VII MTsN 6 Padang students.
Application of the Inquiry Learning Model to Improve Indonesian Language Learning Outcomes in Class DIII Nutrition 1B Poltekkes Kemenkes Padang

Learning Indonesian is a complex process that involves understanding grammar, vocabulary, reading, writing, listening and speaking skills. To improve Indonesian language learning outcomes, the application of an inquiry learning model is an effective and interesting approach. The inquiry learning model involves students actively in the learning process, where they ask questions, conduct experiments, observe, and find solutions to existing problems. In the context of learning Indonesian, this model can provide significant benefits for students. One of the advantages of the inquiry learning model is that it stimulates student activity in seeking understanding of Indonesian through exploration and discovery. Students are invited to become researchers and develop their critical thinking skills in the process. The research we are currently conducting is to see how much impact the learning model using the inquiry method has on Indonesian language learners, D3 1b students at the Poltekkes Kemenkes Padang. This study aims to determine the side effects of learning Indonesian in the use of inquiry learning models in class DIII 1B students of the Poltekkes Kemenkes Padang for the 2022/2023 academic year. This type of exam is a homeroom learning activity that is carried out in two cycles. In each cycle there are stages of planning, action implementation, observation/evaluation, and reflection. This research involved 35 first grade DIII B students of the Poltekkes Kemenkes Padang. The information collected was investigated using inquiry test techniques using 2 cycles. Test method data were then subjected to quantitative descriptive analysis. This study found that the learning outcomes of class DIII 1B Poltekkes Kemenkes Padang using the inquiry method in the Indonesian language learning process had been successfully implemented as evidenced by an increase in the student score index based on the tests that had been carried out. At the beginning of the first cycle test only got 50% then it increased in cycle II by 92.5%.
Undergraduate Students’ Morphological Awareness and Difficulties in EFL Class

Students' vocabulary knowledge is related to their morphological awareness, which plays an essential role in word comprehension and vocabulary development. This case study is aimed at describing undergraduate students’ morphological awareness and difficulties in morpheme identification and word relationship. This study employed the MAT test in two analytical tests. The Morpheme Identification Test is used to measure how well first-year college students can analyze and break down complicated words into their smaller meanings. Meanwhile, the Word Relation Test is administered to measure undergraduate students’ awareness of relations among base or root words and their inflected or derived forms. An interview was used to support the results of the tests. The result showed that the students performed better in breaking down inflected forms than those in derived forms. As in the Word Relation Test, it was discovered that the students had done better in identifying morphologically related word pairs. There were three types of difficulties in the morpheme identification test. The first was in breaking down complex words into smaller morphemes; the second was in stating the meaning of each smaller morpheme, especially affixes; and the third was in categorizing the complex words into inflected or derived forms.