Reviewerly/exHarmony huggingface dataset:
A Study on the Role of Competency-Based Curriculum: Focusing on the 2015 and 2022 revised curricula

The purpose of this study is to examine how the concept of competency promoted by the OECD is reflected in the 2015 revised curriculum and the 2022 revised curriculum and whether there is continuity between them. This consideration is to examine the change in the role of competency that acts as a catalyst for creating new knowledge through utilizing knowledge depending on the situation. The research finds that the curriculum is evolving towards building a human model that nurtures democratic citizenship with an emphasis on compassion and responsibility, shifting from the pursued values and goals. As the concept of competency that appeared in the 2015 curricula has been expanded to the 2022 curricula, it was found to be linked to and continuous with OECD Education 2030. In the 2022 revised curricula, it can be said that this connection was further strengthened with the emergence of the student agency and transformational capabilities of OECD Education 2030. In OECD Education 2030, competencies are placed at the center of the learning compass, surrounded by core standards including knowledge, attitudes, skills, and values, suggesting an expansion of the concept of competencies beyond mere skill and knowledge acquisition. These changes were reflected in the 2022 revised curricula, and it can be said that the competency-oriented education area has been expanded
Examining the Structural Relationship among Teacher Learning Community, Teacher Collaboration, Teacher Efficacy, and Teacher Instructional Competence

Purpose: The purpose of the study was to explore the structural relationship among school-based teacher learning community, teacher collaboration, teacher efficacy, and teacher instructional competence at Korean middle schools. The study was especially interested in examining the mediating effects of teacher collaboration and efficacy on the relationship between teacher learning community and instructional competence.&#x0D; Methods: This study drew upon 853 middle school teachers’ data from the 2021 Busan Educational Longitudinal Study, and a multi-mediating structural equation model was employed as a statistical method.&#x0D; Results: First, all of the independent variables -i.e., teacher learning community in school, teacher collaboration and teacher efficacy are positively associated with teacher instructional competency; second, the effect of teacher learning community on teacher instructional competence was mediated by both teacher collaboration and teacher efficacy; third, teacher learning community had a positive impact on teacher instructional competence through teacher collaboration and teacher efficacy in that order. Particularly, an indirect effect of the path from teacher efficacy to instructional competence was found to be greater than the indirect effect of the other two paths.&#x0D; Conclusion: Based on the findings, it is suggested that the activation of teacher learning community, the cultivation of a collaborative teaching culture, and the enhancement of teacher efficacy are necessary to improve teacher instructional competence.
IDENTIFICATION OF SEA LEVEL RISE BASED ON TIDAL DATA USING THE LEAST SQUARE METHOD

Flood occurs when water overflows its banks due to inadequate channel capacity. Flooding typically results from too much precipitation, which prevents the channel from handling the water flow and results in a deluge. Pontianak City frequently faces severe and protracted flooding when it rains. Both high rainfall and rising sea levels, which impact the Kapuas River, might result in flooding. This argument states that this study was done to anticipate sea level rise for the next six years, which will impact Pontianak City's water flow height using tidal data from Pontianak's Climatology Maritime Station from 2016 to 2021. The average rate of sea level rise, calculated using the least squares approach, is 1.579 cm/year. With an increase rate of 0.017 cm/year, the average sea level rise forecast for the Kapuas River for the next six years is 1.789 cm. It will be necessary to reduce floods in the future to avoid the effects of water flow.
An Intrinsic Mechanism Deciding Hash Rates from Bitcoin Price

This paper presents a new theoretical approach to analyzing the relationship between Bitcoin’s market price and its mining cost, aiming to substantiate the self-sustaining nature of Bitcoin’s security. Previous empirical studies reveal a long-term correlation between price and cost, while shorter-term analysis often reveals significant divergences, particularly during price bubbles. The correlation between price and cost is a critical feature for the safe confirmation of transactions and suggests that the crypto asset has a fundamental value. On the other hand, divergences, which yield profit for miners, should serve as a factor that encourages organized mining operations, raising the mining cost and thereby enhancing Bitcoin’s security. Thus, Bitcoin’s security seems organically maintained by an interplay of correlation and recurring divergences. Understanding the dynamics of mining costs and the mechanism driving the correlation and divergences between price and cost is essential for comprehending Bitcoin’s security and how it is sustained. By leveraging recursive methods in economics, this paper introduces a new theoretical model in which the rational decisions of miners determine mining costs. According to this model, the proof-of-work (PoW) mechanism combined with fluctuating Bitcoin price drives the long-term correlation and recurring divergences between price and cost. It demonstrates a rationale for the self-sustainability of Bitcoin’s security.
Shaping Cryptocurrency Gatekeepers with a Regulatory “Trial and Error”

In the past fifteen years, cryptocurrencies have grown from a whitepaper released on a mailing list to an ecosystem supporting millions of transactions a day using a whole host of technology never imagined before. However, governments have been slow to keep up. We present an analysis of regulatory developments from within the EU and by the Financial Action Task Force (FATF). These regulatory responses focus on intermediaries such as cryptocurrency exchanges, and wallet providers. We trace the AML/CFT policy recommendations made by the FATF, and examine the EU’s Fifth Anti-Money Laundering Directive and upcoming Markets in Crypto-Assets (MiCA) regulation. Here we find a natural tension: the pace of regulation is slower than the pace of technology, so the scope is non-comprehensive, yet current trials to accelerate this pace are leading to subtle conflicting errors. These findings present a deeper understanding of the ongoing regulatory dilemma, its essence, and suggest directions for the future of cryptocurrency regulation.
Electronic Cash with Open-Source Observers

Electronic cash (e-cash) systems need to satisfy the property of anonymity, unforgeability, and transparency which prevent criminal activities from abuse of anonymity. Observers proposed by Chaum et al. and Brands in the ’90 s are one of the cleverest solutions, where observers deployed by the authorities to the user’s device only engage in legitimate anonymous payments, but never cooperate with illegal activities. In other words, observers enforce payers’ legitimate behavior while the cryptographic protocols ensure the observers do not obtain private information about individual payments. However, ever-proposed observers only prevent double-spending as legitimate behavior. There had been no contributions to extend the role of observers from only double-spend prevention to general transparency enforcement required by society without sacrificing privacy. In this paper, we propose a novel concept of open-source observers which can potentially achieve both cryptographic anonymity and highly flexible transparency at the same time. In our setting, observers are published in the cloud as open-source programs and executed within a tamper-proof device with an anonymous attested execution capability, in which all outputs of the execution, with the hash value of the executed open-source program, are signed by the secure processor as formulated by Pass et al. recently. The contribution of this paper is two-fold: (1) we first defined the concept of the open-source observers and (2) we showed a construction of Brands’ type provably-secure offline electronic cash scheme with observers extending the scheme by Baldimtsi and Lysyanskaya.
Private Internet Voting on Untrusted Voting Devices

This paper introduces a new cryptographic Internet voting protocol, which offers individual verifiability and vote privacy even on completely untrustworthy voting devices. The core idea is to minimize the voting client to a simple device capable of scanning a QR code, sending its content to the web server of the included URL, and displaying a response message to the voter. Today, QR code scanners are pre-installed into mobile devices, and users are familiar to using them for many different purposes. By reducing the voting client to an existing functionality of the voters’ personal device, the implementation of the protocol is simplified significantly compared to other protocols. The protocol itself can be seen as a variant of Chaum’s code voting scheme with an elegant solution to the problem of distributing the trust to multiple authorities. The approach is based on BLS signatures and verifiable mix-nets. It relies on trustworthy printing and mailing services during the election setup.
What To Do and When To Do It

In a generative or algorithmically-created musical work the logic of the compositional system may be clear to the creator, and certainly the system itself (if it were self-aware), but might challenge the listener in the identification of a macro pattern of micro patterns. In fact, it may be the case that in some works, perceptible patterns are purposefully avoided or only perceptible with significant analysis and/or an advanced formal education. With a traditionally-notated score a pattern, be it rhythmic, melodic or formal, may be revealed by the trained eye which may or may not be the case even with a trained ear. Relatively new approaches to music notation, specifically Animated Notation, may provide not a solution (as traditional and graphic notations are well-equipped for most situations) but possibilities for different types of pattern representation and realization. Given the unique visual qualities of these scores and the common practice of projecting them, a performance provides the audience member with the opportunity to see these patterns as they unfold in the score. Following an introduction of patterns and an explanation of the primary components of an Animated Score, four compositions by the author will be examined with details provided as to the representation and realization of various micro and macro patterns.
A Slow Motion Display

The Slow Motion Display, developed during a master's thesis, explores the concept of slowing down screen representations through design, challenging prevailing screen aesthetics. It employs conductive, thermochromic yarn on an unprimed canvas in a 16x16 pixel matrix, allowing for color changes when a low 5V voltage is applied. The display's intentionally slow operation, taking around 20 seconds per pixel change, transforms two-dimensional pixels into three-dimensional voxels, highlighting the underlying technology with over 750 cables.
Training to Create Digital Learning Media through Canva and Camtasia

The government has developed the online distance learning process since 2014 through the Indonesian Open and Integrated Online Learning program (PDITT). Then the Covid-19 pandemic has occurred since 2020, forcing the implementation of online learning activities to be unavoidable for the continuity of the implementation of learning activities at all levels of education, including at the vocational level. So far, implementing online learning activities often needs to run optimally. It happens because teachers have yet to be able to take advantage of various applications such as Camtasia and Canva to create targeted online learning media. Therefore, this community service is carried out so that teachers can use applications like Canva and Camtasia optimally. It is hoped that after participating in training activities carried out by the dedicated team from UNJ, teachers at SMK 50 and SMK 10 can make learning media in the form of communicative and attractive material slides and learning videos so that they can increase the desire to learn and the level of understanding of students.
Currency Fluctuations and Foreign Direct Investment in Kenya

Purpose: This study investigates the relationship between currency fluctuations and Foreign Direct Investment (FDI) in Kenya over the period from 2013 to 2022.&#x0D; Methodology: Employing a causal explanatory research design and time-series secondary data, the study identifies the trends and determinants of currency fluctuation and its relationship with FDI. Secondary data is collected from the CEIC website while PICOT is utilized to select the relevant studies for analysis. The correlation analysis is conducted using SPSS to determine the relationship between currency fluctuation and FDI.&#x0D; Findings: The analysis reveals mixed uptrend and downtrend in both variables, showcasing a substantial reduction in FDI in recent years. The correlation analysis establishes a statistically significant negative relationship between exchange rates and FDI, in alignment with the theory of hysteresis and option values. This underscores the impact of currency fluctuations on inducing uncertainty, resulting in reduced FDI due to high sunk costs and delayed investment decisions.&#x0D; Unique Contribution to Theory, Practice and Policy: The study fills a crucial gap in the existing literature by offering insights on the relationship between currency fluctuation and FDI in the Kenyan context. Policy implications stress on the importance of stabilizing the Kenyan Shilling, mitigating real shocks, and fostering economic diversification to enhance the attractiveness of Kenya to foreign investments. This study provides valuable guidance for policymakers, the Kenyan government, and stakeholders seeking to formulate strategies that promote a conducive environment for sustained FDI and economic growth in Kenya.
Coercion-Resistant Cast-as-Intended Verifiability for Computationally Limited Voters

In this work, we investigate if two essential properties in electronic voting, coercion-resistance and cast-as-intended verifiability, can be jointly achieved in settings where voters are (very) limited from a computational point of view. This may be the case in elections where voters use a voting station or webpage to cast their votes but do not have specialized software or devices to perform complicated cryptographic operations (for instance, to verify zero-knowledge proofs or to generate one-way trapdoors). We provide a solution where the only things voters have to do are: remember and compare strings of numbers, on the one hand, and press a button at the appropriate moment, on the other hand. This button activates the participation of an online entity, which is trusted to choose a random nonce for each voter and to publish it only when that voter presses the button (and not before). The most expensive part of the verification is an OR proof of knowledge, which can be done by any (powerful enough) external verifier.
Anomaly Detection Based on a 3D Convolutional Neural Network Combining Convolutional Block Attention Module Using Merged Frames

With the recent rise in violent crime, the real-time situation analysis capabilities of the prevalent closed-circuit television have been employed for the deterrence and resolution of criminal activities. Anomaly detection can identify abnormal instances such as violence within the patterns of a specified dataset; however, it faces challenges in that the dataset for abnormal situations is smaller than that for normal situations. Herein, using datasets such as UBI-Fights, RWF-2000, and UCSD Ped1 and Ped2, anomaly detection was approached as a binary classification problem. Frames extracted from each video with annotation were reconstructed into a limited number of images of 3×3, 4×3, 4×4, 5×3 sizes using the method proposed in this paper, forming an input data structure similar to a light field and patch of vision transformer. The model was constructed by applying a convolutional block attention module that included channel and spatial attention modules to a residual neural network with depths of 10, 18, 34, and 50 in the form of a three-dimensional convolution. The proposed model performed better than existing models in detecting abnormal behavior such as violent acts in videos. For instance, with the undersampled UBI-Fights dataset, our network achieved an accuracy of 0.9933, a loss value of 0.0010, an area under the curve of 0.9973, and an equal error rate of 0.0027. These results may contribute significantly to solve real-world issues such as the detection of violent behavior in artificial intelligence systems using computer vision and real-time video monitoring.
PENERAPAN MEDIA PEMBELAJARAN KOMIK STRIP UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MATA PELAJARAN IPS TERPADU PESERTA DIDIK KELAS IXC MTs SHOLIHIYYAH KALITENGAH

Fun learning will arouse students' motivation, because students will not feel bored and will actually feel interested in learning activities. Motivation has a significant role in determining the outcome of the learning process. Comic strip learning media in education can be applied in integrated social studies learning on the subject of socio-cultural change because comic strips can provide an interesting and funny atmosphere so that students feel happy and more enthusiastic in carrying out teaching and learning activities. student learning outcomes with the application of the Comic Strip learning media on integrated social studies subjects on the material of Socio-Cultural Change. The results show that after learning by applying comic strip media the motivation of students has increased compared to when they have not used comic strip media and based on daily test analysis, the average value of students shows an increase. Before the application of comic strip media in learning the average value achieved was 78.98 while after the application of comic strip media it increased by 6.77% to 84.30.
Pemanfaatan Metode Cooperative Script dalam Meningkatkan Kemampuan Membaca Puisi pada Siswa Sekolah Dasar

This research aims to investigate the use of the Cooperative Script Method in improving the ability to read poetry in elementary school students. This research was carried out on Class V students of Yamluli Christian Elementary School, Southwest Maluku Regency. This researcher is conducting classroom action research to describe student activities in the Indonesian language learning process using the Cooperative script method to improve poetry reading skills. The results of this research show an increase in poetry reading skills seen in the initial test results with a score of 46.27 and an increase in cycle I with an average score of 63.81 and an increase in cycle II to 72.27 so this research is said to be successful because it has met the KKM. at Yamluli Christian Elementary School it was 65.
Development of scholarship automation system for student qualification program applied to college universities using regression analysis

This season's technological advancements have led to the automation of the scholarship application procedure and the development of the qualification assessment program. To create a system that is both efficient and easy to use in order to assist the automation system of any scholarship program. The main analytical tool in this study that illustrates the creation and assessment of a Development of Scholarship Automation System for Student Qualification Program Applied to College Universities using Regression Analysis. It is hoped that the system's goal will benefit the scholarship selection committee as well as the candidates. The committee's administrative burden will be reduced by the technology, freeing them up to focus on assessing the most eligible applicants. In general, colleges and other organizations will find the Scholarship System to be a helpful tool in managing the increasing volume of scholarship applications and guaranteeing that the most deserving individuals receive scholarships. A few of the ISO25010 sub-characteristics that are suitable for assessing the scholarship system are used by the researchers. The researchers used the confusion matrix with the aid of the Weka Software tool, using the scheme of Weka. classifiers. bayes. Naïve Bayes Updateable. The evaluation on the training set has a summary of Correctly Classified Instances of 93% and Incorrectly Classified Instances of 7%, indicating that the application has an accurate algorithm. After evaluating the Scholarship system, the sub-characteristics of Functional Suitability received an overall weighted mean of 4.55. Performance efficiency had a score of 4.72, Usability had a score of 4.68, Security had a score of 4.55, and Portability 4.58.
Pengembangan Pocket Book Berbasis Pembelajaran Berdiferensiasi dalam Materi Pola Bilangan

Pocket books are a form of printed learning media that look almost the same as booklets, only they are designed to be smaller and more practical so they can be carried anywhere. The aim of this research is to produce development media in the form of a Pocket Book whose feasibility is seen. The method used in this research is research and development, with a research design according to Borg and Gall. This research was conducted at MTs Al Madani Pontianak with the research subjects being 26 students in class VIII B. The data collection tools used were validation sheets, teacher and student response questionnaires, and posttests. The data analysis techniques used in research include validity, practicality, and effectiveness. The data collection tools used were validation sheets, teacher and student response questionnaires, and posttests. Based on the results of data analysis, it was concluded that pocket books based on differentiated learning were suitable for use as learning media. With the pocket book validity level, the media validity criteria reached 85.64% with very valid criteria, and the material validity reached 86.06% with very valid criteria. The level of practicality of the pocket book is based on the results of the teacher response questionnaire and the results of the student response questionnaire. The results for the student response questionnaire were obtained with a percentage of 94.03%, the teacher response questionnaire with a percentage of 87% was in the very practical category. The level of effectiveness based on the hypothesis results can be concluded that the pocket book developed is effective