Reviewerly/exHarmony huggingface dataset:
ANALISIS LITERASI SISWA KELAS IV SDN GAYAMSARI 02 KOTA SEMARANG MELALUI MEDIA KOMIK BERORIENTASI PROFIL PELAJAR PANCASILA

The background that prompted this research was that there were still a number of students in grade IV who were still difficult to move to read so that it would affect students' literacy skills (students' low interest in reading). This was proven when students were asked by the class teacher about what they had read, but these students did not understand the contents of the reading. The purpose of this study was to analyze the literacy of fourth grade students at SDN Gayamsari 02 Semarang through comic media oriented to Pancasila student profiles. This type of research was descriptive-qualitative research using interview, observation, questionnaire and documentation methods. The subjects in this study were fourth grade students at SDN Gayamsari 02 Semarang, totaling 31 students and were processed by source and technique triangulation. The results of this study indicate that the reading literacy of fourth grade students through comic media is 70.06% good which includes literal reading skills, critical reading and creative reading. Comic media oriented to Pancasila student profiles chosen by the teacher as literacy media in class IV SDN Gayamsari 02 Semarang City can provide a positive response, namely increasing literacy skills, student activity and students' interest in reading because the text is short so it is easy to understand, contains colorful pictures, character recognition in comics and dialogue stories that make students participate imaginatively in their minds and students are directed their awareness to apply the values of the Pancasila student profile, especially on the value of being independent, critical and creative thinking. It can be concluded that comic media orientated on Pancasila student profiles can increase students' reading interest and reading literacy skills in Class IV SDN Gayamsari 02 Semarang City.&#x0D; Keywords: student literacy, comic media, Pancasila student profiles
Physics-Based Differentiable Rendering for Efficient and Plausible Fluid Modeling from Monocular Video

Realistic fluid models play an important role in computer graphics applications. However, efficiently reconstructing volumetric fluid flows from monocular videos remains challenging. In this work, we present a novel approach for reconstructing 3D flows from monocular inputs through a physics-based differentiable renderer coupled with joint density and velocity estimation. Our primary contributions include the proposed efficient differentiable rendering framework and improved coupled density and velocity estimation strategy. Rather than relying on automatic differentiation, we derive the differential form of the radiance transfer equation under single scattering. This allows the direct computation of the radiance gradient with respect to density, yielding higher efficiency compared to prior works. To improve temporal coherence in the reconstructed flows, subsequent fluid densities are estimated via a coupled strategy that enables smooth and realistic fluid motions suitable for applications that require high efficiency. Experiments on synthetic and real-world data demonstrated our method’s capacity to reconstruct plausible volumetric flows with smooth dynamics efficiently. Comparisons to prior work on fluid motion reconstruction from monocular video revealed over 50–170x speedups across multiple resolutions.
Egyptian Intention Behavior to Use Bitcoin Based on the Unified Theory of Acceptance and Use of Technology

After COVID-19, people’s financial activities are digitalized. Bitcoin is the first decentralized digital currency that attracts people from all over the world to use it. The study discovers the Egyptian behavioral intention to use Bitcoin through using an extended unified theory of acceptance and use of technology (UTUAT). A structural equation modeling approach using Analysis of Moment Structures (AMOS) was employed to confirm the reliability of the model, data collected from a sample of 3761 employees working in an Egyptian private university. The statistical tests used are the reliability test, chi-square test, and person correlation test. The results show that the performance expectancy, effort expectancy, habit, and social influence have a high correlation value to the behavior intention to use Bitcoin while, facilitating conditions, hedonic motivation, and price value have a very high correlation to the behavior intention to use Bitcoin. Implications of the findings and recommendations for further studies were discussed.
Speaking Skills Help in Propagating a Message Effectually

It has often been believed that speaking is a phenomenon which naturally gets inculcated within us but when we talk about formal speaking then we ought to be conscious while speaking anything. Having speaking skills meant having the talent to grab the listeners’ or audience’s attention towards us. There are certain parameters on which focus needs to be put on while speaking. According to Marriam Bashir et al.(2011), it is indeed true that speaking is not only the words of the speaker which matter but it is the overall components one needs to think about consisting of the speaker’s gesture, voice modulation, voice pitch, pace and most of all the pronunciation which takes the message in the correct direction instead of being encompassed with ambiguities. In today’s era, one must have good speaking skills to impart his/her knowledge so that the knowledge can be transmitted smoothly manually as well as technically via YouTube and other media sources. This paper is going to be one of the ammunition via which the speaker will be instilled with the required components to have a smoother and comprehending communication.
LOOKING FOR QUR’AN TEACHER WITH THE HAVERSINE FORMULA METHOD

Education to read and write the Qur'an is the most important thing in Muslim life. The problem that arises is the difficulty of getting a schedule fit between prospective Koran teachers and students, besides the lack of places to study the Koran for adults is also a problem that should be a concern for the sake of the ongoing process of learning the Qur'an.The research method used in this study is a qualitative research method with an experimental approach for programming methods using the Haversine Formula method. The results of this research are in the form of the development of Private Recitation Service and Report Applications Using the Android-Based Haversine Formula Method which can be used to facilitate the community in the process of searching for private Using the Haversine Formula Method Based on Android with distance calculation accuracy rate is 98.92%
Research on the Development Trends of Linguistics in the Age of Artificial Intelligence

The purpose of this thesis is to explore the trends and impacts of the development of linguistics in the era of artificial intelligence. With the continuous progress and application of artificial intelligence technology, the research, analysis and application in the field of linguistics are also undergoing profound changes. This paper will explore the impact of artificial intelligence technology on linguistics and the future development trend from the perspectives of natural language processing, machine translation and so on. Through in-depth research and comprehensive analysis, this paper aims to reveal the innovations and challenges in the field of linguistics in the era of artificial intelligence, and provide guidance and reference for future research and application.
Practical Research on the Construction of Chinese-Yi-English Trilingual Parallel Corpus

Based on the language data and research starting point of more than 200000 pieces of trilingual Chinese-Yi-English corpora collected, sorted, and translated by the Minzu Languages Information Processing Lab of Sichuan Province over the years, the paper proposes a plan for the construction of a trilingual bilingual parallel corpus and conducts practical tests and case data analysis. This paper explores and attempts to construct the Yi language speech database from the perspective of multilingualism.
ALGORITHM C4.5 IN CLASSIFYING HEALTH OF CAT

One of the activities in the TIU (Technical Implementing Unit) of Office of Animal Husbandry and Animal Health is to carry out the examination of pet health, record and issue an Animal Health Certificate (AHC). The object in this research was cat, where the examination was still performed by laboratory test, using paper as a form of diagnosis carried out by a vet and not using the technology. Therefore, an application to provide decision in determining healthy cat that also implements the algorithm C4.5 based on android system was designed. This system was able to perform diagnosis of cat diseases quickly based on previous medical record, with a training history (training data) as many as 44 cases. Then the classification process would strengthen the results of cat disease diagnosis such as how to deal with disease that had similar symptoms so as to facilitate the Office of Animal Husbandry and Animal Health, as a comparison to issue an Animal Health Certificate. Based on the Black Box testing, the functionality of the module was in accordance with the needs of the system, while the accuracy testing generated the percentage value of 93.18%. This shows that the algorithm C4.5 has a good accuracy to determine healthy cat.
Summary of Research on Miao Silver Ornaments in China—Statistics and Analysis Based on China HowNet (1987-2020)

Based on the research results related to Miao silver jewelry published by CNKI from 1987 to 2020, this paper sorted out the number of published papers in different years through literature analysis and data statistics. The identity of the researcher, the institution and the source of the publication of the paper, and the main characteristics and limitations of the research on Miao silver jewelry were analyzed and summarized, and the future space and development trend of Miao silver jewelry were proposed.
The Creation of New Brilliance of Socialist Culture with High Cultural Confidence and Self-improvement

Culture is the accumulation of history and the spiritual home of national inher-itance. This paper studies the outstanding traditional Chinese culture, the culture of Social with Chinese characteristics, Chinese cultural undertakings and industries, and the Chinese narrative system. Explored the path of cultural confidence promoting the new glory of so-cialist culture and achieving a socialist cultural power. This article mainly elaborates the path choice of the new glory of socialist culture through the Content analysis method, and forms innovative research viewpoints. It is a road of self-development to develop Socialism with Chinese characteristics culture with cultural self-confidence and cultural consciousness. Inheriting in development, adhering to integrity and innovation, stimulating the vitality of national culture, and building a socialist cultural power.
Research on the Strategies of Industrial Culture Dissemination among the International Students in Colleges and Universities

Industrial culture refers to the sum of material culture, system culture and spiritual culture formed along with the industrialization process and penetrated into the industrial development. As an important part of people's life and development, the educational value contained in industrial culture has become increasingly prominent. As China has become the largest destination country for international students in Asia, especially with an increasing number of international students from countries along the "Belt and Road", the responsibility and obligation of colleges and universities to train elite talents of "Knowing well about China, Being friendly with China and loving China" and to provide important human and intellectual support for the construction of a community with a shared future for mankind is increasingly severe. Chinese colleges and universities can disseminate industrial culture among the international students through the following aspects: (1) to strengthen teaching concepts and integrate industrial culture into international study brand construction, (2) to carry out curriculum reform and integrate industrial culture into the content of talent cultivation, (3) to strengthen the creation of professional characteristics and integrate industrial culture into employment guidance services, (4) to attach importance to cultural adaptation and integrate industrial culture into ideological and moral education.
COMBINING SUPERVISED AND UNSUPERVISED METHODS IN TOURISM VISITOR DATA

Combining supervised and unsupervised method can assist in the data analysis process. This research aims to apply a supervised method, i.e. Poisson regression, that is followed by an unsupervised method, namely cluster analysis of the visitors in a tourism dataset. The samples were taken 80 persons purposively from the visitors of the Flower Garden X in Serang Regency, Banten Province. The dataset consists of the number of visits, travel cost, income/ stipend per month, gender, age, distance from the place of origin, and perception, which is formed by 11 questions of facilities and services. The Poisson regression was applied in the 30, 40, and 50 bootstrap samples resulted in the perception as the significant features. Then, medoid-based cluster analysis, i.e. pam and simple k-medoids, in the perception dataset was applied. They compared simple matching and cooccurrence distances and were validated via medoid-based shadow value. It grouped the visitors into five clusters as the most suitable number of clusters. The combined methods of supervised and unsupervised provided the cleanliness as the important indicator. The improvement of the tourism object had to be focus on the cleanliness aspect.
The Effects of Video-Based Combined Exercise Program on the Health-Related Physical Fitness of Male Elementary School Students

The purpose of this study was to examine the effects of a video-based combined exercise program on health-related physical fitness among male elementary school students. A comparative analysis was used as a research method. 18 students in the combined exercise group using video (CEGV, 11.1±0.9 yrs) and 17 students in the combined exercise group (CEG, 11.2±0.8 yrs) participated in the exercise programs three times a week for eight weeks.BR For the data processing of this study, the Mean (M) and standard deviation (SD) were calculated for each variable using SPSS Version 27.0, and an independent t-test was conducted for a test of the homogeneity between the groups. In the group, a paired t-test was performed for the pre and post-exercise effect test, and the significance level (α) was set to .05.BR As a result of the interaction effect, the interaction effect was found in the LBM (p.05), but it did not appear for the rest. In the change of hand grip(R), there was no main effect in CEGV and CEG. In terms of the change in muscle endurance, CEGV (p.01) and CEG (p.01) showed significant differences, respectively. With regard to the change in flexibility, there was no main effect in CEGV and CEG. Regarding the changes in cardiopulmonary endurance, there was no significant difference in CEGV, but there was a significant difference in CEG (p.05). With respect to the change in body f at r ate, there was no main e ffect in CEGV and CEG. In terms of the change in paper fat, there was no significant difference in CEGV, but there was a significant difference in CEG (p.05). As a result of eight weeks of complex exercise and video-watching composite exercise for male elementary school students, the intensity of exercise was 36.7% HRR, 37.2% HRR, 48.1% HRR, and 57.9% HRR, respectively. In terms of health-related physical fitness, the study revealed that during the developmental period, exercise groups led by instructors had a greater impact on children compared to individual exercising while watching instructional exercise videos.
Concept of Ethical Management of the Educational Process as a Basis for Forming the Professional Ethics of a Personality

The article presents the concept of ethical management of the educational process as a basis for forming the professional ethics of a personality. The main idea of the concept is to achieve organized and regulated ethical management of the educational system based on the finding or recreation of its value meaning as an imperative necessity for the functioning of ethical relationships within the holistic educational process.Finding or recreating the value meaning of the management of the educational process occurs in the course of realization the system of ethical values, represented as value meaning universals of ethical relationships created in this management.Thus, the value meaning of the ethical management of the educational process conditions the methodological basis for achieving such aims as: elaboration the technology for organizing and regulating ethical management of the educational process; forming the professional ethics of the manager of the educational institution; mastering the culture of moral value interaction with participants of the educational process.As a result of experimental work, general and particular patterns were identified in the formation of the professional ethics of future educational institution managers, manifested in their mastery of methods for organizing and regulating ethical management of the educational process.
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection

Background Various versions of artificial intelligence (AI) have been used as a diagnostic tool aid in the diagnosis of breast cancer. One of the most important problems in breast screening progmrams is interval breast cancer (IBC). Purpose To compare the diagnostic performance of Transpara v1.6 and v1.7 in the detection of IBC. Material and Methods Reports of screening mammograms of a total 2,248,665 of women were evaluated retrospectively. Of 2,129,486 mammograms reported as Breast Imaging Reporting and Data System (BIRADS) 1 and 2, the IBC group consisted of 323 cases who were diagnosed as having cancer on mammography and were correlated with pathology in second mammogram taken &gt;30 days after first mammogram. Four hundred and forty-one were defined as the control group because they did not change over 2 years. Cancer risk scores of both groups were determined from 1 to 10 with Tranpara v1.6 and v1.7. Diagnostic performances of both versions were evaluated by the receiver operating characteristic curve. Results Cancer risk scores 1 and 10 in v1.7 increased compared to v1.6 ( P &lt; 0.001). In all cases, sensitivity for v1.6 was 56.6%, specificity was 90%, and, for v1.7, sensitivity was 65.9% and specificity was 90%, respectively. In all cases, area under the curve values were 0.812 for v1.6 and 0.856 for v1.7, which was higher in v1.7 ( P &lt; 0.001). Diagnostic performance of v1.7 was higher than v1.6 at the 7–12-month period ( P &lt; 0.001). Conclusion The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.
Quantifying Quality of Life in a Community Context and Policy Implication—An Application of MIMIC Model

This article obtains data through questionnaire survey, and then uses the Multiple Indicators Multiple Causes (MIMIC) Model to establish the Taoyuan City’s quality of life quantifying framework in a city-level community context. Statistical test results show that the reliability of overall model is high and is suitable for policy analysis. There are thirteen variables in the structural model that significantly affect the quality of life as well as eleven indicators in the measurement model that can significantly measure the quality of life. Then, half of the observations are substituted back to calculate the quality of life. Via ArcGis operation, it finds that the quality of life of Longtan District is the best as well as Dayuan District is the worst one. LISA cluster of quality of life illustrates hot spots areas are distributed in Longtan, Daxi, and Pingzhen Districts.
A Feature Adaptive Asynchronous Deep Reservoir Computing for Modeling soft sensors

Soft sensor has been widely studied and applied in engineering area, which aims at building a model to estimate quality variables that are difficult to measure by hardware sensors. Asynchronous deep reservoir computing (ADRC) is a promising tool to build data-driven soft sensors due to its training simplicity and high performance in dealing with time-dependent tasks. Nevertheless, how to build a good reservoir for the ADRC has been an open issue owing to many random factors in its structure. This paper proposes a feature adaptive (FA) way to optimize the ADRC's topology. In the FA scheme, a projector-like matrix is introduced into the reservoir matrix, and the singular value distribution of the reservoir matrix can be adjusted by learning the projector-like matrix adaptively. After the projector-like matrix is learnt, the optimal reservoir matrix can be acquired through singular value decomposition (SVD). The FA approach simplifies the reservoir structure. Moreover, it is helpful to improve the generalization capability and suppress the reservoir noise. The FA - RC is applied on modeling two soft sensors in chemical production process. The experimental results shows that the FA scheme can significantly improve the modeling precision and the performance stability of the ADRC soft sensors.
A Class of Suboptimal Distributed Consensus Filter for Sensor Networks with Correlated Noises

In this paper, the problem of distributed consensus filtering in sensor networks with correlated noises is studied. In the sensor networks, each sensor is equivalent to a local fusion center. A class of suboptimal distributed consensus filter is proposed based on a matrix inequality. First, each sensor node produces a local filter based on its own measurement data. Then, each node iteratively performs fusion estimation based on the estimates of itself and neighbor nodes through multiple data exchanges between nodes. Finally, the fusion estimate of each node trends to be consensus. The effectiveness of the algorithm is verified by simulation experiments.
Dual-Path Joint Learning Art GAN and its Application

With the rapid development of computer vision, GAN technique based on deep learning is widely used in image generation, and it enhances the realism of synthetic images. Meanwhile GAN are also widely used in art painting image generation tasks. In order to inspire painter's creativity, improve image quality and richness, and solve the problem of few data of art painting images, this paper proposes Dual-path joint learning Art GAN(DArtGAN). Which adopts multi-scale fusion learning strategy in the generator to learn and fuse input images under different resolutions, so as to improve the learning efficiency of few data. At the same time, content image and style image are input as dual paths for joint learning to generate high-quality images with flexible styles. Experiments prove that the images generated by this method have a good improvement effect in terms of quality and style diversity, and achieve certain advantages in processing complex images like landscape paintings.