Reviewerly/exHarmony huggingface dataset:
Research on the evaluation system of kindergarten science education curriculum

Students' experience of course learning often depends on the recognition of the teacher's curriculum, mechanical and boring courses will often make a course lose vitality, how to use the online course platform to stimulate students' enthusiasm for learning is a problem we need to pay attention to, through the preliminary investigation and research found that only by constantly updating and improving the teaching evaluation mechanism, will mobilize students' learning initiative, truly understand the learning content, and be able to use learning knowledge.
Reading Guide and Students' Arabic Reading Ability

Reading is one of the literacy skills set as Indonesia's national education goal and become a necessary skill in the 21st century. The reading skill of students of MTs Al-Hidayah Batu has not met the ideal standard. Achieving reading skills requires adequate vocabulary mastery and selecting appropriate methods. This study was designed to measure the influence of the reading guide method on students' knowledge of Arabic reading skills. The design of this study is quasi-experiments. There are 30 samples taken from a total population of 120 people using the purposive sampling technique. Data collected through tests, questionnaires, and interviews are analyzed using a t-test. The results show that the reading guide method can improve students' reading skills. Proven by the t-test result of the reading ability with a sig (2-tailed) value of 0.010 &lt; 0.05. This statistical test implied that Ho was rejected. Ha is accepted, which means that there is a positive influence on the use of the reading guide method in improving students' reading skills, indicated by increasing the ability to read appropriately, mentioning the meaning of vocabulary in the text, answering questions based on the text, summarizing and retelling the content.
Beomjae Kim Kyu-heung’s Educational Enlightenment Activities and Character: The Direction of People’s Enlightenment and People’s Power

Kim Kyu-heung studied Chinese classics early and moved to Seoul in his mid-twenties. His wide-ranging exchanges allowed him to maintain a flexible mindset that accommodates various trends while reducing market changes. His participation in independent associations and his activities as a middle school uisuk teacher were the sites where he realized the importance of modern education.&#x0D; After the Eulsa Treaty, the sense of crisis and concern about the country was an opportunity to resign all government posts. When he traveled back and forth from Seoul to his hometown, he came to seek a new direction. Traveling abroad to China in 1905~1906 was the starting point for the anti-Japanese movement in earnest. At that time, the relationship with the Chinese was the main foundation for leaving a clear footprint in the anti-Japanese struggle. Membership and activities of the Korea Self-Generation Association paid attention to the development of private land as the top priority for the construction of an independent nation.&#x0D; Changmyeong School has repeatedly developed into an educational institution representing modern education in the Okcheon area. Teachers and students became aware of their social existence by actively participating in the National Debt Redemption Movement. These activities against the Japanese economic aggression deepened their awareness of reality.&#x0D; Kim Kyu-Hong’s educational enlightenment activities were not limited to simple ability improvement. His purpose was to suggest a direction to move forward by recognizing social responsibility and facing the reality they faced. As Japanese aggression intensified after the Hague special envoy incident, he left for exile for a joint struggle by the Korean-Chinese solidarity. It goes without saying that the history of the anti-Japanese struggle in China is a valuable asset for educational enlightenment activities in Korea.
Deepfake Technology: A Criminological Literature Review

Cybercrimes are rapidly evolving with the advancement of technology and reaching new dimensions. Deepfake technology, which is the subject of this article, has also become a part of cybercrime. Deepfake technology, which has similar features to the CGI technology we have encountered in the cinema, is a technology that allows the image or voice of a person - or both - to be transferred to another image or video file in a hyper-realistic way and first came to the agenda in 2017. Although this technology has many benevolent uses, its malicious use is more prominent. This study aims to compile the criminological studies and current events in the literature on Deepfake for researchers who will study this field in the future. Within the scope of this purpose, this study examines the nature of Deepfake technology, the methods that can be used to detect Deepfake videos, the criminal dimensions of Deepfake technology and the violations it causes, the characteristics of victims and criminals, and the measures/senate resolutions taken by countries regarding the negative use of Deepfake technology.
THE EFFECT OF PQ4R ON STUDENTS’ READING COMPREHENSION AT THE EIGHT GRADE STUDENTS OF MADRASAH TSANAWIYAH NEGERI 1 JAMBI

The objectives of this study was to find out whether any significant effect between before and after giving treatment in the experimental class. This research used quasi experimental design with pretest posttest control class design, while the research instrument is the form of giving multiple choice tests. The sample was taken from the eighth grade students of Madrasah Tsanawiyah Negeri 1 Kota Jambi. The experimental class was taught by using Preview, Question, Read, Reflect, Recite, Review (PQ4R) Strategy, Meanwhile the control class was taught without using Preview, Question, Read, Reflect, Recite, Review (PQ4R) Strategy. Before giving the treatment, the students from both the classes were given a pretest to know their ability in reading comprehension. At the end of the treatment, the students were given a posttest. The tests used as instrument were consisting of 30 multiple choice questions. The final mean scores gained from both classes was analyzed by using t-test with significance level α = 0,05 by using the pooled variance mode t-test, it was found that the mean score of experimental class was 80,13 meanwhile, the control class was 70,53. The result related that was significant was determined by &lt; 0,05, = 0,000. Thus, H1 was accepted that Preview, Question, Read, Reflect, Recite, Review (PQ4R) Strategy can bring significant effect to the eighth grade students’ reading comprehension at the eighth grade students of Madrasah Tsanawiyah Negeri 1 Kota Jambi.
Development of an Intelligent IoT Platform for PV Power Plant Monitoring and Control

PV power plants are a promising renewable energy source nowadays. However, due to the highly stochastic properties of renewable energy, monitoring and controlling PV power plants is not an easy task, especially when having to monitor and control multiple PV power plants at the same time. With the help of recent developments in IoT platforms and AI technology, a monitoring system can be developed to solve the issues. An IoT platform that utilizes a web server to monitor and control multiple PV power plants is implemented and presented. LSTM and BiLSTM models are also developed to produce day-ahead PV power generation forecasting by using weather data. The trained model is implemented in the web server, and the BiLSTM achieves a 9.67% forecast error when compared to measured PV power generation data.
Implementation of WebRTC-based Hybrid Transmission System for 3D Visualization

In this paper, we propose and implement a WebRTC-based transmission system that can selectively utilize 3D object delivery and video streaming. The proposed method implemented based on the web has the advantage of being able to be serviced by various devices with browsers regardless of hardware performance. To evaluate the performance of the video stream latency for real-time 3D service, user interaction response time is measured through experiments. As a result, it is shown that the proposed method can provide real-time service.
Penggunaan Aplikasi Seluler dalam Pemberian Medikasi pada Anak untuk Mencegah Kesalahan Pemberian Medikasi (Medication Error)

The purpose of this study was to analyze the use of mobile applications to assist in administering the medication needed to children to avoid the risk of errors in medication administration (medication errors). This research method uses a literature study by using a review of research journal articles that were searched through online database searches: Proquest, SAGE Journal, Clinical Key Nursing, PubMed, EBSCO, and Scopus, which were published in 2018-2022, with the keywords mobile application, drug medication, pediatric and medication error. The study's results prove that mobile applications in medication calculations can be used as an intervention to prevent medication errors in children. In conclusion, using mobile applications to administer medication to avoid medication errors in children is very useful.&#x0D; &#x0D; Keywords: Cellular Application, Dosage Calculation, Children, and Medication Error
Bhagavad Geeta Based ChatBot

A chatbot which tells us about the historical events written in Bhagavad Geeta. It also continues with information about the actual meaning of most multi-directional questions having variable answers which keep humans a bit occupied. The paper is about a well-made bot with the help of OpenAI. This can also help humans discover life's answers. This is briefly written below in the document to understand the making and working of the bot. The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make limited customizations to our original base models for your specific use case with fine-tuning. It will help you increase your knowledge and will also be the guide for your path to a happy and peaceful life.
Energy Efficient Offloading Mechanism for Blocks in Blockchain-Assist IoT System

With the development and large-scale application of the Internet of Things (IoT), security issues in IoT systems have received widespread attention. Applying blockchain technology can effectively solve the security risks faced by IoT systems. However, the deployment of blockchain in the IoT system also faces a series of challenges. For example, fast and large-scale data in the IoTs must be stored on the blockchain and maintained by some IoT devices, but constrained IoT devices usually cannot store the complete blockchain. In this regard, we design a strategy for deploying blockchain in the IoT system with limited resources. Specifically, we propose an energy-efficient block offloading strategy to release storage space when the storage resources of IoT devices are exhausted in the long-term dimension. In this process, the offloading of blocks is closely related to the subsequent query process, and a large amount of energy consumption accompanies it. We design a corresponding offloading algorithm by collaboratively considering the block offloading process and the block query process, which can minimize the average energy in the IoT system while satisfying the block storage and data query services. Simulation results show that our proposed offloading algorithm can effectively reduce the total average energy consumption of the system.
All Smart Children (SAC) Program Planning Through Literacy and Numeration at Darek 2 State Elementary School, Indonesia

This study aims to determine the planning program All Smart Children (known as SAC) through Literacy and Numeracy at SD Negeri 2 Darek. This study used descriptive qualitative methods, while data collection techniques used observation, interviews, and documentation. The research results show that basic literacy and numeracy planning consists of facilities, activity schedules, and learning activities. The research results conclude that the basic literacy program, which consists of planning, has been implemented correctly, as seen from using the SAC program.
Classical Test Theory: Measurement for Fashion Design Double Track High School Program

The Double Track High School Program is a program that provides the provisions of high school students in order to have competencies such as vocational students, one of which is the Fashion Design competency. Tests are needed to measure students' cognitive abilities. This research is a test that aims to obtain information on the validation of the Fashion Design cognitive test items using the classical test theory. This quantitative descriptive study uses a multiple choices test with four choices of 40 items. Participants' responses were collected through Google form for Fashion Design class of 2019 and 2018 totaling 122 respondents. The analysis technique with the strata program was analyzed using classical test theory. Based on the analysis of the cognitive validation tests of fashion design competencies Double track high school program results obtained the validation of the test uses classical test theory with a test reliability coefficient of 0.5729 for the number of tests as many as 40 questions, meaning the question items has moderate reliability. The conclusion is a test can be used for fashion design double track high school program.
Professiograms and psychograms as a tool for staff selection

Introduction. The relevance of the research topic is due to the increasing role of personnel in the organization, which, in turn, entails an increase in the requirements for the selection of personnel, the need to improve the personnel selection mechanism. Each organization, when selecting personnel, seeks to determine whether a person applying for a vacant position (future subject of labor) really meets the objective requirements put forward by professional activity. A successful selection of personnel will help to avoid further layoffs, which will inevitably follow in the event of an unsuccessful selection. On the contrary, successful selection of personnel helps to reduce the financial and organizational costs of the enterprise (firm). These issues can be solved by the development and use of professiograms and psychograms, which contribute to an objective assessment of the professional level of a potential employee, to identify his personal characteristics, thereby predicting the future success or failure of the candidate in the performance of job duties. Purpose of this study is to reveal and substantiate the specifics and important role of the professiogram and psychogram, which act as effective staff selection tools. The objectives of the study are defined as follows: disclosure of the essence and specifics of professiograms and psychograms; identification of the main types of professiograms and psychograms; determination of the structure of professiograms and psychograms; determination of their role in solving the problems of personnel selection. Materials and Methods. The methodological basis of the article was made up of studies conducted in the field of professiography - a technology aimed at studying the requirements that a profession makes for a complex of personal qualities, psychological abilities, psychological and physical capabilities of a candidate for a certain position. Results. The article presents different points of view on the concepts of "professiogram" and "psychogram", which do not have an unambiguous approach. The author's interpretation of the concepts under consideration is proposed. Conclusion. The results of the study (they are theoretical substantiation of the specifics of the professiogram and psychogram as a tool and means of personnel selection; the author's definition of the concepts "professiogram" and "psychogram"; their analysis and classification; identification of the optimal structure of the professiogram and psychogram in the context of their use for personnel selection) can be used in the process of further study of the problems under consideration, in the development by specialists of professiograms and psychograms in the organization, as well as applied by practical psychologists and sociologists.
Low-light image enhancement based on Retinex-Net with color restoration

Low-light images often suffer from a variety of degradation problems such as loss of detail, color distortions, and prominent noise. In this paper, the Retinex-Net model and loss function with color restoration are proposed to reduce color distortion in low-light image enhancement. The model trains the decom-net and color recovery-net to achieve decomposition of low-light images and color restoration of reflected images, respectively. First, a convolutional neural network and the designed loss functions are used in the decom-net to decompose the low-light image pair into an optimal reflection image and illumination image as the input of the network, and the reflection image after normal light decomposition is taken as the label. Then, an end-to-end color recovery network with a simplified model and time complexity is learned and combined with the color recovery loss function to obtain the correction reflection map with higher perception quality, and gamma correction is applied to the decomposed illumination image. Finally, the corrected reflection image and the illumination image are synthesized to get the enhanced image. The experimental results show that the proposed network model has lower brightness-order-error (LOE) and natural image quality evaluator (NIQE) values, and the average LOE and NIQE values of the low-light dataset images can be reduced to 942 and 6.42, respectively, which significantly improves image quality compared with other low-light enhancement methods. Generally, our proposed method can effectively improve image illuminance and restore color information in the end-to-end learning process of low-light images.
Combined Fault and Leakage Resilience: Composability, Constructions and Compiler

Real-world cryptographic implementations nowadays are not only attacked via classical cryptanalysis but also via implementation attacks, including passive attacks (observing side-channel information about the inner computation) and active attacks (inserting faults into the computation). While countermeasures exist for each type of attack, countermeasures against combined attacks have only been considered recently. Masking is a standard technique for protecting against passive side-channel attacks, but protecting against active attacks with additive masking is challenging. Previous approaches include running multiple copies of a masked computation, requiring a large amount of randomness or being vulnerable to horizontal attacks. An alternative approach is polynomial masking, which is inherently fault-resistant. This work presents a compiler based on polynomial masking that achieves linear computational complexity for affine functions and cubic complexity for non-linear functions. The resulting compiler is secure against attackers using region probes and adaptive faults. In addition, the notion of fault-invariance is introduced to improve security against combined attacks without the need to consider all possible fault combinations. Our approach has the best-known asymptotic efficiency among all known approaches.
Disease classification using neighbourhood centroid opposition based multi-objective flamingo search algorithm based feature selection approach

In machine learning, a crucial task is feature selection in that the computational cost will be increased exponentially with increases in problem complexity. To reduce the dimensionality of medical datasets and reduce the computational cost, multi-objective optimization approaches are mainly utilized by researchers. Similarly, for improving the population diversity of the Flamingo Search Algorithm, the neighbourhood centroid opposition-based learning mutation is employed. In this paper, to improve the classification accuracy, enhance their exploration capability in the search space and reduce the computational cost while increasing the size of dataset, neighbourhood centroid opposition-based learning (NCOBL) is integrated into the multi-objective optimization based Flamingo Search Algorithm (MOFSA). The optimal selected datasets are classified by using the weighted K-Nearest Neighbour classifier. With the use of fifteen benchmark medical datasets, the efficacy of the suggested strategy is assessed in terms of recall, precision, accuracy, running time, F-measure, hamming loss, ranking loss, standard deviation, mean value error, and size of the selected features. Then the performance of the suggested feature selection technique is compared to that of the existing approaches. The suggested method produced a minimum mean value, standard deviation, mean hamming loss, and maximum accuracy of about 99%. The experimental findings demonstrate that the suggested method may enhance classification accuracy and also eliminate redundancy in huge datasets.
Peningkatan kompetensi siswa SMK melalui pelatihan desain grafis dan animasi

Multimedia is a crucial field of study in the present era, as all professional domains require its application to aid individuals in effectively completing their tasks. However, the Multimedia field is contributing significantly to unemployment rates today. This issue partly arises from the fact that graduates in Multimedia lack the required proficiency, skills, and knowledge sought by various companies and institutions. SMK NW Kembang Kerang is a private vocational school located in East Lombok, which offers a multimedia program attracting a substantial number of students each year. Despite graduating students in this field annually, many face the challenge of inadequate competencies upon completion of their education. The lack of practical exposure during their school years hinders the alumni's ability to compete in the job market. Although numerous photo and video editing services are available in the Kembang Kerang region, it is observed that few SMK graduates are employed in this area. The school's teachers and principal comprehend this issue, attributing it to the limited opportunities for practical training experienced by the students. Consequently, to address this concern, the author conducted a competence training activity for students at SMK NW Kembang Kerang, with a specific focus on multimedia and graphic design. The objective of this training program is to enhance the students' multimedia and graphic design skills, empowering them with competent capabilities that will prove beneficial both for their personal growth and the broader community. Through this initiative, it is anticipated that upon completing their vocational education, students will possess the necessary competencies to thrive in the professional realm and contribute positively to society at large.