Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Komik Digital pada Pembelajaran Sejarah Kelas X SMA Negeri 2 Tilatang Kamang pada Peradaban Awal di Kepulauan Indonesia

This study aims to overcome the lack of enthusiasm for learning in history subjects at SMA 2 Negeri Tilatang Kamang. The focusis evaluating the validity and quality of digital comic media as a history learning tool in class X E.2. The method used is research and development with a 4-D model (Define, Design, Development, Disseminate). The research participants were 22 students of class X E.2 who were studying history. The results showed that digital comic media had very good validity with an average score of 83.4%, including material aspects (91.6%), language eligibility (80.3%), and media eligibility (78.4%). The practicality of the media is positively evaluated by the teacher with a score of 86.8% and by students with a score of 88.16%, indicating that this media is very practical in the learning process. In conclusion, this digital comic media has high validity, good practicality, and the potential to increase students' learning motivation in history subjects. This research produces innovative and effective learning tools to overcome challenges in learning history.
WeMo: A Prototype of a Wearable Mobility Device Adapting to User’s Natural Posture Changes

Mobility is fundamental for human beings. In the current society, many personal mobility solutions have been invented to enable more time-efficient mobility, such as self-balancing vehicles, electric unicycles, and electric scooters. Personal mobility devices can provide flexibility to transportation. However, most personal mobility devices need to be carried by their users in the case that they climb stairs and steps. Therefore, many researchers have focused on developing stair-climbing vehicles, but due to the complicated mechanism, these devices are usually huge and heavy. To realize a new type of personal mobility device with more flexibility, we proposed a novel concept of a personal mobility device design that combines the agile mobility of a wheel type mechanism but does not limit a human’s natural stair climbing ability. In this study, we introduced a compact personal mobility device, namely WeMo, under the concept of “wearing mobility”, which extends humans’ mobility in daily life. The developed hardware realizes “walking mode” and “driving mode”. Users can move with the motorized driven wheels of the device during driving mode, and users can walk on their feet without any interference from the device during walking mode. In this manuscript, the detailed design of the hardware and control strategy were explained first.Then, we conducted fundamental user tests and discussed the ability of the developed device from test results. Finally, the conclusions and future work were provided.
VCTP: A Verifiable Credential-Based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms

Self Sovereign Identity (SSI) is an emerging identity system that facilitates secure credential issuance and verification without placing trust in any centralised authority. To bypass central trust, most SSI implementations place blockchain as a trusted mediator by placing credential transactions on-chain. Yet, existing SSI platforms face trust issues as all credential issuers in SSI are not supported with adequate trust. Current SSI solutions provide trust support to the officiated issuers (e.g., government agencies), who must follow a precise process to assess their credentials. However, there is no structured trust support for individuals of SSI who may attempt to issue a credential (e.g., letter of consent) in the context of business processes. Therefore, some risk-averse verifiers in the system may not accept the credentials from individual issuers to avoid carrying the cost of mishaps from potentially inadmissible credentials without reliance on a trusted agency. This paper proposes a trust propagation protocol that supports individual users to be trusted as verifiable issuers in the SSI platform by establishing a trust propagation credential template in the blockchain. Our approach utilises (i) the sanitizable signature scheme to propagate the required trust to an individual issuer, (ii) a voting mechanism to minimises the possibility of collusion. Our implementation demonstrates that the solution is both practical and performs well under varying system loads.
Camouflage target segmentation based on reverse attention and self-interaction fusion

Camouflage Target Segmentation (COS) aims to segment targets hidden in complex environment. When the existing COS algorithm fuses multi-level features, it ignores the expression and positioning of the edge features of the camouflage target, and pays more attention to the influence of the fusion of features on the segmentation performance. Therefore, a COS algorithm based on disguised target segmentation based on reverse attention and self-interaction fusion is proposed. First, multi-scale features are extracted through the backbone network; Then, in order to improve the expression ability of edge features, the features extracted by the backbone network are enhanced using a network composed of a reverse attention module (RAM); Finally, the self-interaction fusion module (SIM) drives the features of different scales to achieve layer-by-layer fusion, while suppressing noise interference and obtaining more accurate target information. Experimental results show that on the three commonly used natural camouflage datasets of CHAMELEON, CAMO and CODIOK, the model shows better segmentation effect than other typical models.
SCIENTIFIC RESEARCH ON PROJECT WORK: ORGANIZATION AND PLANNING

At the present stage of updating education in chemistry in the development of students' self-learning abilities, as well as project work, is an urgent task of secondary schools. This article presents the results of a study on the development of students' self-learning abilities through the organization and planning of their project work on the topics of organic chemistry projects for Grade 11. The pedagogical experiment covered 12 students of the 3rd year education system of named Abai KAZNPU University. The data obtained as a result of the assessment of the teacher and the self-assessment of students showed a clear development of students' self-learning abilities in experimental classes.
Compositional Zero-Shot Domain Transfer with Text-to-Text Models

Abstract Label scarcity is a bottleneck for improving task performance in specialized domains. We propose a novel compositional transfer learning framework (DoT51) for zero-shot domain transfer. Without access to in-domain labels, DoT5 jointly learns domain knowledge (from masked language modelling of unlabelled in-domain free text) and task knowledge (from task training on more readily available general-domain data) in a multi-task manner. To improve the transferability of task training, we design a strategy named NLGU: We simultaneously train natural language generation (NLG) for in-domain label-to-data generation, which enables data augmentation for self-finetuning and natural language understanding (NLU) for label prediction. We evaluate DoT5 on the biomedical domain and the resource-lean subdomain of radiology, focusing on natural language inference, text summarization, and embedding learning. DoT5 demonstrates the effectiveness of compositional transfer learning through multi-task learning. In particular, DoT5 outperforms the current state-of-the-art in zero-shot transfer by over 7 absolute points in accuracy on RadNLI. We validate DoT5 with ablations and a case study demonstrating its ability to solve challenging NLI examples requiring in-domain expertise.
Design Of Time Estimation System In Manufacturing Products On Cnc Machinery With Process Approach

This research was conducted at the Industrial Service Unit of the University of Muhammadiyah Surakarta, which is a Service Unit engaged in the machinery industry, with a Make To Order-based production system. The current state of product completion time orders are made based on estimates only. In this study, a decision support system was designed to calculate product time estimates, change manual calculations or estimates with computer calculations. The calculation refers to product specifications and cutting tools used, where these two things are used to calculate the length of a machining process. In addition, the machine load, the time to order raw materials, the availability of working drawings, and the efficiency of the machine used are also considered. Based on the results of the implementation in the case of the RAGUM-TI product, the completion time was 6331.28 minutes or 106 hours, and the product could be completed in 16.5 days with 80% machine efficiency and 8 hours of work per day. With the decision support system produced in this study, it can increase the speed and accuracy of the estimation process by the company.
HOW MULTIPLE BRANCHES OF MATHEMATICS UNITE THE MOBIUS STRIP WITH MULTIPLE PHENOMENA IN PHYSICS AND COSMOLOGY

Question – How does the Riemann Hypothesis Support Topological Propulsion and Faster-than-light Travel? Answer – &#x0D; &#x0D; a) Using the axiom that there indeed are infinitely many nontrivial zeros on the critical line (calculations have confirmed the hypothesis to be true to over 13 trillion places), the critical line is identified as the y-axis of Wick rotation. This suggests the y-axis is literally infinite and that infinity equals zero. In this case, it is zero distance in time and space. Travelling zero distance is done instantly and is therefore faster-than-light travel. &#x0D; b) Wick rotation is essential to this article’s description of a topological (mathematical) universe and the Riemann hypothesis’ identification with Wick means the hypothesis doesn’t just apply to the distribution of prime numbers but also applies to the fundamental structure of the mathematical universe’s space-time. &#x0D; &#x0D; An absolutely essential ingredient of time travel by applied maths is being able to journey into the remote past and future. For this reason, a paragraph about the coexistence of past, present, and future (without such coexistence, time travel could never be a possibility) is included in a section titled “Riemann Hypothesis and Wick Rotation Support Time Travel into the Past and Future”.&#x0D; This article provides insights into travelling at significant fractions of – as well as faster than - light, the Higgs boson and field, electroweak interaction, dark matter, dark energy, other dimensions, space-time (eg the expanding-universe question and time travel), quantum mechanics, quantum computers, the Riemann hypothesis, and Unidentified Flying Objects. &#x0D; The article is also a brief summary discussing how the Matrix, the Riemann hypothesis, quaternions, Wick rotation, and imaginary numbers unite topology’s Mobius strip with known and unknown dimensions as well as the Higgs boson, Higgs field, dark matter, dark energy, antigravitons, and the static universe. The article also explains Unidentified Flying Objects as the result of future human technology.
Risk assessment of navigational safety of coast guard vessels based on analytic hierarchy cloud model theory

This paper assesses and analyzes the navigational safety of coast guard vessels and constructs a risk assessment system for navigational safety. To tackle with randomness and ambiguity of evaluation criteria, a risk assessment model is established for navigational safety, which is based on an analytic hierarchy cloud model. Calculate weights of each evaluate criterion by hierarchical assessment, integrate the result in combination with these criteria of the cloud model, then compare it with the standard evaluation cloud model, and finally obtain the overall object, i.e. the consequence of the risk assessment of navigational safety. Finally, evaluate the accuracy of the cloud model by a case, providing coast guard vessels with basis for decision-making on navigational safety.
Going phygital: biometrics’ future as the physical and digital worlds converge

Anti-spoofing biometric technology can play a lead role in securing identity in the new ‘phygital’ world, says Veridas CEO Eduardo Azanza, but users also face growing privacy and regulatory demands.
Local Rule-Based Explanations Method Based on Genetic Algorithms with Fitness Sharing

The Local Rule Based Explanations method (LORE) explains decisions of black-box classifiers by using an interpretable model (Decision Tree – DT). The DT is trained with an artificial dataset generated by Genetic Algorithms (GAs). The primary objective of this approach is to replicate the decision boundaries of the black-box model in proximity to the instance under explanation. We show that the artificial examples generated by the GAs in LORE are not necessarily diverse. Consequently, we propose the integration of GAs with fitness sharing in LORE to generate a more diversified subset of artificial examples. The underlying motivation is to ensure that the local decision boundaries of the DT more closely resemble those of the black-box classifier. Experimental results with two classifiers (Multilayer Perceptron and Random Forests), and four classification problems, indicate that LORE with fitness sharing yields more diverse GA populations, consequently leading to improved local explanations. These findings underscore the effectiveness of incorporating fitness sharing into the LORE methodology for enhancing the explainability of black-box classifiers.
Alert Classification for the ALeRCE Broker System: The Anomaly Detector

Abstract Astronomical broker systems, such as Automatic Learning for the Rapid Classification of Events (ALeRCE), are currently analyzing hundreds of thousands of alerts per night, opening up an opportunity to automatically detect anomalous unknown sources. In this work, we present the ALeRCE anomaly detector, composed of three outlier detection algorithms that aim to find transient, periodic, and stochastic anomalous sources within the Zwicky Transient Facility data stream. Our experimental framework consists of cross-validating six anomaly detection algorithms for each of these three classes using the ALeRCE light-curve features. Following the ALeRCE taxonomy, we consider four transient subclasses, five stochastic subclasses, and six periodic subclasses. We evaluate each algorithm by considering each subclass as the anomaly class. For transient and periodic sources the best performance is obtained by a modified version of the deep support vector data description neural network, while for stochastic sources the best results are obtained by calculating the reconstruction error of an autoencoder neural network. Including a visual inspection step for the 10 most promising candidates for each of the 15 ALeRCE subclasses, we detect 31 bogus candidates (i.e., those with photometry or processing issues) and seven potential astrophysical outliers that require follow-up observations for further analysis. 16 16 The code and the data needed to reproduce our results are publicly available at https://github.com/mperezcarrasco/AnomalyALeRCE .
Perhatian Orang Tua terhadap Masalah Belajar Anak di Kanagarian Pulakek Koto Baru

Parents' attention to children's learning problems is lacking, parents ignore children's learning problems, parents leave early in the morning and come home in the evening to earn a living, generally as farmers. The purpose of this study was to determine the attention of parents in Kangarian Pulakek Koto Baru to the learning problems of elementary school level children, which are related to attention to children's discipline in learning, homework, completeness of learning facilities, textbooks, and guiding children in learning. The research method is a qualitative descriptive method. Key informants were parents of children and informants supporting the nagari nagari guardians and children of both high school and junior high school students in Kanagarian Pulakek Koto Baru. The research results show; 1) the attention of parents in Kanagarian Pulakek Koto Baru to the discipline problem of children learning less, 2) the attention of parents in Kanagarian Pulakek Koto Baru has not given enough attention to their children in doing schoolwork at home, 3) the attention of parents in Kanagarian Pulakek Koto There is also a lack of new learning facilities for children and 4) The attention of parents in Kanagarian Pulakek Koto Baru in guiding their children to study at home is very lacking. Based on the data above, it can be concluded that parents in Kangaria Pulakek Koto Baru still do not pay enough attention to the learning problems faced by their children.
Elevating the Fitness of Use of GBIF Occurrence Datasets: A proposal for peer review

Biodiversity data plays a pivotal role in understanding and conserving our natural world. As the largest occurrence data aggregator, the Global Biodiversity Information Facility (GBIF) serves as a valuable platform for researchers and practitioners to access and analyze biodiversity information from across the globe (Ball-Damerow et al. 2019). However, ensuring the quality of GBIF datasets remains a critical challenge (Chapman 2005). The community emphasizes the importance of data quality and its direct impact on the fitness of use for biodiversity research and conservation efforts (Chapman et al. 2020). While GBIF continues to grow in terms of the quantity of data it provides, the quality of these datasets varies significantly (Zizka et al. 2020). The biodiversity informatics community has been working diligently to ensure data quality at every step of data creation, curation, publication (Waller et al. 2021), and end-use (Gueta et al. 2019) by employing automated tools and flagging systems to identify and address issues. However, there is still more work to be done to effectively address data quality problems and enhance the fitness of use for GBIF-mediated data. I highlight a missing component in GBIF's data publication process: the absence of formal peer reviews. Despite GBIF encompassing the essential elements of a data paper, including detailed metadata, data accessibility, and robust data citation mechanisms, the lack of peer review hinders the credibility and reliability of the datasets mobilized through GBIF. To bridge this gap, I propose the implementation of a comprehensive peer review system within GBIF. Peer reviews would involve subjecting GBIF datasets to rigorous evaluation by domain experts and data scientists, ensuring the accuracy, completeness, and consistency of the data. This process would enhance the trustworthiness and usability of datasets, enabling researchers and policymakers to make informed decisions based on reliable biodiversity information. Furthermore, the establishment of a peer review system within GBIF would foster collaboration and knowledge exchange among the biodiversity community, as experts provide constructive feedback to dataset authors. This iterative process would not only improve data quality but also encourage data contributors to adhere to best practices, thereby elevating the overall standards of biodiversity data mobilization through GBIF.
The Effect of Using E-WoHealth on Knowledge, Attitudes and Behaviors About Body Image and Anemia in Young Women

The prevalence of anemia in adolescents in Indonesia has increased by 32%, meaning that 3-4 out of 10 adolescents suffer from anemia in the age group 15-24 years is the largest proportion who experience anemia. This research uses the Combined Method (Research and Development), and the research design uses pre-experimental. The research design develops and validates learning media, namely E-WoHealth, in several stages: analysis of learning media needs, learning media development, design, expert test validation, TAM test, and tininal product of media. The development stage starts with an analysis of the needs of students at Junior High School, Six Gorontalo City. The findings show that the pre-test and post-test values for knowledge, attitudes, and behavior of young women have increased significantly, with a p-value of 0.000 &lt;0.05, meaning that there are differences in the knowledge, attitudes, and behavior of young women before and after being educated using E-WoHealth. In conclusion, web-based E-WoHealth has an effect on the knowledge, attitudes, and behavior of young women regarding body image and anemia. Video and e-modules can be used as alternative educational media to prevent health problems in adolescents, especially anemia. They can improve the habits or behavior of adolescents by assessing themselves by comparing themselves with others to create self-confidence or body image. Positive for teenagers. It is hoped that schools can apply various methods, one of which is the use of animated videos and e-modules that can be accessed using smartphones.
Using Blockchain to Improve Security of the Internet of Things

The Internet of Things has increased in popularity in recent years, with daily life now being surrounded by "smart devices."This network of smart devices, such as thermostats, refrigerators, and even stationary bikes affords us convenience, but at a cost.Security measures are typically inferior on these devices; considering that they collect our data around the clock, this is a big reason for concern.Recent research shows that blockchain technology may be one way to address these security concerns.This paper discusses the Internet of Things and the current issues with how security is handled, discusses how blockchain can shore up some of these shortcomings, and goes in depth into examples of how blockchain has been implemented to improve the security of the Internet of Things.
PERBANDINGAN ANTARA KETERAMPILAN MEMBACA DAN KETERAMPILAN MENYIMAK DALAM MEMPEROLEH INFORMASI DARI MEDIA MASSA PADA SISWA KELAS VII SMP NURUL QOMAR PALEMBANG

This study identified and described the comparison between reading skills and listening skills in obtaining information from the mass media in class VIII students of SMP Nurul Qomar Palembang. The method used in this research is descriptive and comparative. Research data obtained through test techniques and questionnaire techniques. Based on the results of the research, conclusions were obtained, namely the results of data analysis and discussion of the effectiveness of comparisons between reading skills and listening skills in obtaining information from the mass media in class VIII students of SMP Nurul Qomar Palembang. The mean value of the reading test for class VIII A students as a reading group was 74.8, the mean score for listening tests for class VIII B students as a listening group was 68.19 (74.8 &gt; 68.19) and in obtaining information between reading skills and listening there is no significant difference.