Reviewerly/exHarmony huggingface dataset:
Impelementasi Program Kerja Ekstrakurikuler Podcast Dalam Meningkatkan Keterampilan Public Speaking Peserta Didik Di SMP Negeri 1 Kayangan

The Teaching Campus Program is an activity carried out to assist teachers in carrying out learning, especially training students' skills in public speaking. By following the Teaching Campus Program, the leadership spirit and character development of students will be honed. The purpose of this work program is (1) describing the implementation of podcast extracurricular in the teaching campus program (2) Describing the improvement of students' public speaking skills through Podcast extracurricular. The methods used are observation, discussion, direct practice through coaching. The result of the implementation of this work program is that SMP Negeri 1 Kayangan has an extracurricular that can be continued and produces students who excel in the field of public speaking, become a forum for students to develop their potential, especially public speaking skills. So it can be concluded that with this program the extracurricular podcast work program can be carried out, with the holding of the work program students who have an interest in hosts and public speaking can be more developed and useful in the future because public speaking is the ability to communicate verbally in front of many people with The purpose of conveying an information clearly, efficiently, and can be easily accepted by the listener.&#x0D; Keywords: Podcast, Public Speaking, Literacy.
Voting on ICP Blockchain: A Decentralized Web3 Approach

In this comprehensive exploration, our paper delves into the intricate implementation of robust authentication and transaction management within the realm of secure voting systems leveraging blockchain technology. Our innovative project stands as a testament to the commitment to privacy and integrity, safeguarding voter interactions through the adept application of advanced cryptographic techniques—all achieved without reliance on a centralized authority. The multifaceted capabilities of blockchain technology are showcased through the seamless facilitation of secure voting processes and the optimization of transaction transfers, collectively contributing to an ecosystem characterized by enhanced security, transparency, and efficiency. Beyond the immediate applications, our study uncovers profound insights into the transformative potential of blockchain within the voting sector, redefining conventional paradigms by introducing unparalleled security measures and transparency to the intricate dynamics of voter interactions. This research not only underscores the feasibility of blockchain in addressing the unique challenges of voting systems but also offers a roadmap for leveraging its capabilities to create a more secure, accountable, and streamlined electoral ecosystem. The paper thus serves as a pioneering contribution, illuminating the path towards a future where blockchain technologies play a pivotal role in shaping the voting landscape. Index Terms: Internet Computer Blockchain (ICP), Blockchain Voting, Decentralized, Rust, Cryptography, SHA-256 algorithm
Research on error compensation method of topography dynamic reconstruction of chattering thin-walled parts based on structured light detection

In order to achieve visual measurement error compensation for the surface of thin-walled components with chatter, a new real-time adaptive correction method for chatter motion error is proposed in this paper. Firstly, according to the mechanism of the chatter effect, an error analysis model of the dynamic structured light phase principal value is derived. Then, a real-time optimization method for the motion phase error in the frame of structured light projection is proposed. Meanwhile, a compensation method based on an adaptive grating projection period is proposed to eliminate the cumulative error of inter-frame chatter motion. Finally, a structured light visual inspection system and an experimental platform for chattering thin-walled parts are established for experimental verification. The experimental results under slight and severe chatter conditions indicate that the proposed method can optimize the phase errors within the projected frame in real time under any scenario, compensate for the cumulative errors between projected frames, and improve the point cloud accuracy of real-time 3D reconstruction.
Health Risk Assessment of Some Heavy Metals in Groundwater Samples in Rada'a City, Yemen

Groundwater is an important source of domestic drinking water supply, and groundwater quality assessment is necessary to reduce pollution to acceptable levels. Therefore, this study aims to determine the concentrations of heavy metals (HM) (Cr, Cd, Cu, Ni, Mn, Fe, and Zn) in the groundwater of Rada'a City and to evaluate the health risk. Groundwater samples were analyzed by inductively coupled plasma optical emission spectrometry (ICP-OES). The following average concentrations (mg/l) were determined in the groundwater 0.01035, 0.01702, 0.043718, and 0.03652 for Cu, Ni, Mn, and Zn were concentration values lower than the World Health Organization acceptable limit (WHO) 2, 0,07,0.4, and 4 for Cu, Ni, Mn, and Zn, respectively, but at some locations in the study area, concentration values were found to be above the acceptable limit 0.3 (mg/l) for Fe, the average concentrations were 0.42567 (mg/l). Based on the HM concentrations, the health risk was classified as non-carcinogenic. The health risk indices (HRI) were &lt; 1 for all HMs in the groundwater samples, indicating no health risk. In addition, a high carcinogenic risk (Probability of Cancer Risk, PCR) of 4.42 × 10−4 on average was found from drinking water consumption, while the acceptable range for cancer risk is ≤ 1 × 10−6 to 1 × 10−4.
Patent Protection of Digital Technologies for Food Safety Supervision

Digital technology innovations provide important technical support for strengthening and optimizing food safety supervision, which requires the patent system to provide appropriate protection and incentives. The utilization of cutting-edge technologies, namely big data, cloud computing, and artificial intelligence (AI), presents many complexities when ascertaining eligibility for patent protection, evaluating inventiveness and carrying out patent examinations. In light of the matter at hand, it is imperative to enhance the criteria for scrutinizing patent applications of algorithms via legislative measures. Furthermore, it is crucial to bolster governmental endeavours in fostering a cadre of patent examiners with interdisciplinary expertise. Additionally, we must incentivize innovators to augment their contributions to algorithmic innovation while concurrently imposing limitations on the misuse of algorithms. These measures are indispensable to address the innovation requirements within food safety supervision adequately.
Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding

Our work presents the application of the rough sets method in the field of astrophysics for the analysis of observational data recorded by the Cosmic Ray Extremely Distributed Observatory (CREDO) project infrastructure. CREDO research has produced huge datasets that are not well yet studied in terms of the information they contain, including specific anomalous observations, which are of particular interest to physicists and other scientists. From the pool of data available for analysis registered under CREDO infrastructure, containing approximately $$10^7$$ of events, a set of $$10^4$$ of samples was selected. We have applied eigendecomposition-derived embedding limiting data to 62 dimensions (95% of variance). We have adapted rough k-means algorithm for the purpose of anomalies detection task. We have validated our approach on various configurations of adaptable parameters of the proposed algorithm. The potential anomalies retrieved with the proposed algorithm have morphological features consistent with what a human expert would expect from anomalous signals in this case. The source codes and data of our experiments are available for download to make research reproducible.
Utilizing mathematical concepts of heat map for an intelligent and secure approach to efficiently detect credit card fraud

In the current scenario of digital world, every year the financial institutions have to face billions of dollars losses due to fraudulent transactions. Out of different categories of financial frauds credit card transaction fraud is the most common. To reduce the effect of these fraud transactions there is a need for a well-designed and secured fraud detection system with a state of art fraud detection model. Our work’s primary contribution is the creation of a fraud detection system that makes use of some mathematical usage of creating heat maps which is then enhanced with the use of a deep learning architecture and a sophisticated feature engineering method based on HCNN- Heat Map Convolutional Neural Network. HCNN is a model which create the heat maps for the imbalance data set without replicating the minor class records and without discarding major class records. The experimental findings show that our suggested technique is a practical and successful mechanism for detecting credit card fraud. The main objective of our model is to develop such a technique that can be used to detect and correctly classify more numbers of fraud transactions thus, our suggested technique, may detect considerably more fraudulent transactions than the benchmark methods with the accuracy of 91.7%.
Examining the determinants of the intention of using E-learning among university students in China During COVID-19.

The main objective of the study is to examine the intention of using e-learning among university students in China. factors such as computer experience, personal innovativeness, computer self-efficacy, and performance expectations have an impact on the intention of using e-learning during COVID-19. The PLS-SEM-SEMroach is used for analysing research models of complex nature, where there are numerous observed and unobserved variables in the model. The response rate came out at 77%, which is considered more than sufficient for further analysis. An empirical study based on e-learning was conducted in a developing country. The researcher discovered that CSE has a significant impact on users' acceptance of e-learning. According to earlier studies, the experience of using a computer is a significant predictor of attitudes toward using computers. E-learning systems are used by individuals when it is perceived that they will improve their effectiveness and productivity in learning education during COVID-19. These beliefs have an impact on their intentions to use e-learning systems. As the high rate of attrition has become a key issue in e-learning, the main concern related to online teaching and learning is motivation. Their relationship results in improved use of the e-learning system. A computer self-efficacy construct was adapted in a study based on a specific implementation of e-learning. Computer self-efficacy was defined as the level with which people feel confident in their skills for using online technology for learning and the achievement of course-related tasks. The study has highlighted an important issue related to personal innovativeness, computer experience, and personal self-efficacy among students in China during COVID-19.
Impact Of The Germane Load On Students’ Behavioral Intention On Online Courses During Covid-19: Mediating Role Of Instructional Design And Moderating Role Of E-Learning Personalization

The study is carried out to examine the impact of the germane load on the Students’ Behavioral Intention of students studying in the public universities of China. Meanwhile, the study has also examined the mediating role of instructional design and moderating role of e-learning personalization. The study has used the SEM-PLS is to examine the relationship between and among the variable. The current study has investigated the relationship between germane load and instructional design, future behavioral intentions and instructional design, and future behavioral intentions with the germane load. The survey was conducted among the university students of China who participated in online learning programs during the COVID-19 pandemic. Moreover, the mediation influence of germane load on the relationship of future behavioral intentions and instructional design has been studied. It was found that all the relationships were positively correlated. The mediation influence of instructional design was found between the relationship of future behavioral intentions and instructional design. The study has examined the instructional design as a mediator. The analysis of an instructional design focusing on setting course plans results in improved germane load, which improves the process of learning, and future behavioral intentions among students are increased. It is important to note that usage intention and germane load are benefited through an effective instructional design. Therefore, the association between usage intention and germane load is important to be examined for analyzing a good understanding of the content among students and their plan for continuing e-learning in the future. In literature, studies have worked on instructional design, which results in improved learning and intention to continue e-learning and among students. However, there is a need to explore instructional design that focuses on general course planning to improve behavioral intention in the future based on the previous learning experience. The study is among the pioneers on the issues related to e-learning mechanisms in eastern Malaysia.
Interaction practices between pedagogical universities and regional educational systems: Indicators of scientific and educational effectiveness

Introduction. The paper raises the issue of interactions between pedagogical universities and regional educational systems (hereinafter – RES) in the context of improving the efficiency of universities. The purpose of the study was to identify and systematically describe the nature of the interaction between pedagogical universities and RES in its relationship with the indicators of scientific and educational effectiveness of universities. Materials and Methods. The theoretical and methodological framework of the study is based on the ecosystem approach and the concepts of the educational environment. The authors used a mixed design of the study; the characteristics of the interaction between 33 federal pedagogical universities and RES were analyzed. The information posted on the official websites of universities was subjected to content analysis and inductive thematic analysis. Quantitative indicators of universities that made up the sample of the study were also analyzed based on the results of monitoring the activities of higher educational institutions. The data obtained were subjected to frequency, comparative, cluster and factor analysis. Results. It is revealed that universities are more likely to implement practices of interaction with the RES, aimed to strengthen practical preparation of students and meet the employment needs of regions. The results of the cluster analysis made it possible to substantiate the provisions on four types of practices of interaction between universities and RES: "integration", "cooperation", "development" and "presence". It is shown that universities implementing integration and developing interaction practices demonstrate higher indicators of scientific and academic efficiency. The authors come to the conclusion that with the coincidence of the targets of federal universities and RES, there is a need to develop mechanisms for their interaction. Different practices of interaction between universities and RES are generated by different strategies of their construction, which determine the role of a pedagogical university in the educational space of the region. It is shown that scientific and academic excellence of the university is associated with the implementation of integration practices of interaction. Conclusions. According to the research finding, the nature of the interaction between federal pedagogical universities and RES is revealed and described, the key types of interaction practices reflecting the vectors of inclusion of the federal university in the regional educational space are determined.
Risk Analysis and Assessment Framework for Cyber Security in Management Systems

Organizations are depending more and more on interconnected digital ecosystems, therefore strengthening cyber security measures is essential. This paper offers a thorough framework for risk assessment and management that fits into the larger category of cyber security-focused management systems. The framework that has been suggest-ed combines state-of-the-art techniques from the fields of risk management and cyber security to build a resilient system that can deal with modern cyber threats.&#x0D; The framework begins with a methodical inventory of resources—such as data centers, vital infrastructure, and network elements—that are necessary for the operation of the corporate cyber environment. A comprehensive risk assessment is then carried out, taking into account the possibility and consequences of any cyber attacks to the assets that have been identified.&#x0D; Predictive modeling and scenario analysis are integrated into the framework to enable a proactive approach to risk mitigation. Consistent with well-known management system standards like ISO 27001 and DDO, the framework emphasizes an iterative and cyclical process. Regular risk reviews, performance reviews, and strategy updates for risk management lead to continuous progress. The synchronization of cyber security measures with changing organ-izational structures and developing threats is ensured by this adaptive approach.&#x0D; In addition to strengthening an organization's cyber resilience, putting the suggested framework into practice ad-vances the more general objective of developing a strong and effective cyber security management system. This methodology offers a scalable and sustainable way to protect digital assets from the ever-changing pool of cyberat-tacks by smoothly integrating risk analysis and management into current organizational procedures.&#x0D; This study offers a methodical and comprehensive approach to risk analysis and management, which adds to the continuing conversation on cyber security. The framework that is provided here acts as a useful manual for com-panies that want to strengthen their cybersecurity while adhering to accepted management system standards.
Climate and its variability over Tarai region of Uttarakhand

The study is conducted for the Tarai region of Uttarakhand regarding the trend analysis of the weather parameters, namely maximum temperature, minimum temperature, rainfall, sunshine hours and evaporation on an annual basis over the periods from 1981-2020. The moving average for 5-year, 10-year intervals and the pentadal, decadal variations has been studied for the above stated parameters. The results revealed that there is an increasing trend in the maximum and minimum temperature of about 0.0004°C/year and 0.0180°C/year respectively. The decreasing trend in the rainfall, sunshine hours and evaporation is observed of about 1.461 mm/year, 0.042 hr/year and 0.028 mm/year respectively.
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