Reviewerly/exHarmony huggingface dataset:
Pengaruh Media Pembelajaran KIT IPA Terhadap Motivasi dan Hasil Belajar Siswa Kelas IV

Based on the results of observations, it can be seen that there are some students whose grades do not reach the KKM score. This happens because the method used by the teacher in learning is only the lecture method. Teachers who are creative in the learning process should immediately provide learning materials using tools in the form of learning media so that the scores of students who are below the KKM will decrease. The purpose of this writing is to determine the effect of KIT IPA learning media on motivation and student learning outcomes in learning. The writing method uses quantitative with the experimental method, namely trying to practice directly related to the material being taught by the teacher. The results that the writer got during the observation process were that there was an increase in the scores obtained by students after the teacher implemented the learning process using media aids. The next suggestion is that teachers can use learning media in schools to help the process of delivering material to students so that students can easily understand the material and are more enthusiastic about learning.
Pengaruh Peran Orang Tua Dan Minat Belajar Terhadap Hasil Belajar Siswa Kelas VI SD Negeri 1 Airmadidi

Parents are one of the first and foremost educational centers and sources of educators for a student. The role of parents and interest in learning have an important role and influence the quality of achievement of student learning outcomes. This study aims to determine the influence of the role of parents and interest in learning on student learning outcomes. This research was conducted at SD Negeri 1 Airmadidi with the population in the study, namely all grade VI students of SD Negeri 1 Airmadidi totaling 45 sample. Sampling using a nonprobability sampling method. This study used a quantitative research design with multiple regression analysis. The results showed that 1) The role of parents affects student learning outcomes with regression test results obtained sig values of 0.000 &lt; 0.05 which means there is a significant influence, 2) Learning interest affects learning outcomes with regression test results obtained sig values of 0.002 &lt; 0.05 which means there is a significant influence, 3) The role of parents and interest in learning affects learning outcomes with a value of R Square = 0.504 Indicating the role of parents and interest in learning can explain learning outcomes by 50.4% while the remaining 49.6% is influenced by other variables. Thus, this research has implications for helping and facilitating how to maximize student learning by providing quality learning experiences in terms of the role of positive parents and high student learning interest in achieving high learning outcomes as well.
Prediksi Jumlah Wisatawan Menggunakan Metode Random Forest, Single Exponential Smoothing dan Double Exponential Smoothing di Provinsi NTB

The aim of study is to forecast global tourist visits and compare the forecasting methods to determine the best method using random forest, single exponential smoothing and double exponential smoothing, respectively. These methods are applied in global tourist visit data in West Nusa Tenggara Province. Random forest, single exponential smoothing and double exponential smoothing are familiar methods and are frequently utilized in forecasting. In addition, the three methods have great accuracy for time series data, such as data of global tourist visits. The data used in this study is data of global tourist visits from 2014 to 2021 in West Nusa Tenggara province. Applying the random forest, single exponential smoothing and double exponential smoothing methods in forecasting, the result shows that double exponential smoothing method is the best, based on the smallest value of Mean Absolute Percentage Error (MAPE) of 325.759. The forecasting result found out that tourist visits will increase from previous time, starting from August, 2021 to July, 2021 with an estimated 847 to 1045 lives
Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams

Collaborative scheduling is an essential ability for a team of heterogeneous robots to collaboratively complete complex tasks, e.g., in a multi-robot assembly application. To enable collaborative scheduling, two key problems should be addressed, including allocating tasks to heterogeneous robots and adapting to robot failures in order to guarantee the completion of all tasks. In this paper, we introduce a novel approach that integrates deep bipartite graph matching and imitation learning for heterogeneous robots to complete complex tasks as a team. Specifically, we use a graph attention network to represent attributes and relationships of the tasks. Then, we formulate collaborative scheduling with failure adaptation as a new deep learning-based bipartite graph matching problem, which learns a policy by imitation to determine task scheduling based on the reward of potential task schedules. During normal execution, our approach generates robot-task pairs as potential allocations. When a robot fails, our approach identifies not only individual robots but also subteams to replace the failed robot. We conduct extensive experiments to evaluate our approach in the scenarios of collaborative scheduling with robot failures. Experimental results show that our approach achieves promising, generalizable and scalable results on collaborative scheduling with robot failure adaptation.
Weakly Supervised Referring Expression Grounding via Target-Guided Knowledge Distillation

Weakly supervised referring expression grounding aims to train a model without the manual labels between image regions and referring expressions during the training phase. Current predominant models often adopt deep structures to reconstruct the region-expression correspondence. A crucial deficiency of the existing approaches lies in that these models neglect to exploit potential valuable information to further improve their grounding performance. To address this issue, we leverage knowledge distillation as a unique scheme to excavate and transfer helpful information for acquiring a better model. Specifically, we propose a target-guided knowledge distillation framework that accounts for region-expression pairs reconstruction and matching. We reactivate the target-related prediction information learned by a pre-trained teacher model and transfer the target-related prediction knowledge from the teacher to guide the training process and boost the performance of the student model. We conduct extensive experiments on three benchmark datasets, i.e., RefCOCO, RefCOCO+, and RefCOCOg. Without bells and whistles, our approach achieves state-of-the-art results on several splits of benchmark datasets. The implementation codes and trained models are available at: https://github.com/dami23/WREG_KD.
UPLIFT: Unsupervised Person Labeling and Identification via Cooperative Learning with Mobile Robots

As robots are widely used in assisting manual tasks, an interesting challenge is: Can mobile robots help create a labeled knowledge dataset that can be used for efficiently creating deep learning models for other sensors? This paper proposes an Unsupervised Person Labeling and Identification (UPLIFT) framework to automatically enlarge the labeled knowledge dataset. Typically, manual data labeling is very costly, especially when the user population is large and dynamic. To reduce the cost, we use a mobile robot to serve as a knowledge seed and to provide the pseudo-ground-truth for the system so that unlabeled images from other fixed surveillance cameras can be paired with the pseudo-ground-truth. Ultimately, the knowledge dataset can be generated via a system-to-system knowledge transfer process from the former to the latter and gradually expanded as the system operates longer. Experimental results in two environments indicate that UPLIFT achieves an accuracy of 94.1% on average to detect pedestrians' IDs every 10 seconds.
Obstacle-Aware Topological Planning over Polyhedral Representation for Quadrotors

In this paper, we propose a novel mapping-planning framework for autonomous quadrotor navigation. First, a polyhedron-based mapping algorithm is presented to fully exploit the information of the onboard sensor data. Polyhedra are generated to approximate the segmented clusters of occupied voxels. Then, customized data structures are designed to extract information for motion planning in real time. With complete knowledge of the shape, position, and number of the observed obstacles, we can conveniently generate smooth trajectories with sufficient obstacle clearance along the most desired direction. Before searching for the initial path, a local topological graph is constructed to keep the path expanding in the most favorable topology class. The following path search is segmented based on the graph vertices, which allows fast convergence. The refined trajectory is obtained after smoothing, and large deviations are penalized in the formulated optimization problem to preserve the original clearance. Finally, we analyze and validate the proposed framework through extensive simulations and real-world quadrotor flights.
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear

Developing embodied agents in simulation has been a key research topic in recent years. Exciting new tasks, algorithms, and benchmarks have been developed in various simulators. However, most of them assume deaf agents in silent environments, while we humans perceive the world with multiple senses. We introduce Sonicverse, a multisensory simulation platform with integrated audio-visual simulation for training household agents that can both see and hear. Sonicverse models realistic continuous audio rendering in 3D environments in real-time. Together with a new audio-visual VR interface that allows humans to interact with agents with audio, Sonicverse enables a series of embodied AI tasks that need audio-visual perception. For semantic audio-visual navigation in particular, we also propose a new multi-task learning model that achieves state-of-the-art performance. In addition, we demonstrate Sonicverse's realism via sim-to-real transfer, which has not been achieved by other simulators: an agent trained in Sonicverse can successfully perform audio-visual navigation in real-world environments. Sonicverse is available at: https://github.com/StanfordVL/Sonicverse.
Detection of Phreaking Website Using Various Algorithms

A big concern to the Internet nowadays is phishing, a crime that involves exploiting technological tools to steal sensitive consumer data. Phishing losses are also rising quickly. The importance of feature engineering in solutions for detection of phishing websites, however the precision of detection is crucial and it depends on the features you know already. Additionally, although fea- tures retrieved from multiple dimensions are more thorough, extracting these characteristics has the downside of taking a long time. To address these, we proposed a new approach in which dataset contains millions of URLs by this approach we can identify the URL which is attacked by the phisher. To deter- mine whether the URL has been targeted by the phisher, some of the Convo- lutional Neural Network algorithms like CNN-LSTM, CNN BI-LSTM, Logistic Regression, and XG Boost are utilized and resulting in the correctness of the graph between the two machine learning methods by using trained dataset and more likely to produce sensitivity, specificity, precision, recall, and f1-score along with accuracy graph, confusion matrices and also along with ROC-AUC curves.
A Scoping review of Data Storage and Interoperability in Blockchain based Electronic Health Record’s (EHR)

In the current era of technological smart world blockchain technology has bought revolution in Electronic Health Record’s (EHR’s) data exchange, which is important within medical research and healthcare. The healthcare industries are overlooked with problems in secure data exchange and privacy protection. The scoping review aims to identify the Blockchain technology used in health- care organization could help in addressing privacy and accessibility issues. The distributed ledger technology is integrated with IPFS-Interplanetary file system helps in accomplishing firm controllable blockchain-based Electronic Health Records (EHR) data exchange scheme. To share and save large health record files between healthcare institutions the Electronic Health Records (EHR) with IPFS-Interplanetary file system is a promising solution. The decen- tralized block storage and integrated Electronic Health Records (EHR) with Interplanetary File System (IPFS) achieve failure of accessing health records. The study designate that personal health documents and Electronic Health Reports are the bulk chosen areas, using distributed ledger technology. Inter- operability, data integrity and authentication are the major concern need to be refined by blockchain technology. The most used platforms in EHR blockchain are hyperledger fabric and ethereum. The study also inspects the reliable data share of EHRs among mobile users through mobile cloud to ensure high security levels. The combination of distributed Interplanetary file system and mobile cloud blockchain platform is reliable data exchange mechanism by applying smart agreements for efficient Electronic Health Records data sharing among distinct medical providers and patients to access control mechanism.
PENERAPAN MEDIA MONOPOLI TERHADAP HASIL BAHASA INDONESIA KELAS IV SD NEGERI 2 LUBUK NGIN

This study aims to determine the completeness of the results of learning Indonesian on the application of monopoly media for class IV SD Negeri 2 Lubuk Ngin. The type of research is quasi-experimental. Population of all grade IV SD Negeri 2 Lubuk Ngin. A total of 34 students. The sample is Class IV.A students, totaling 16 students. Data collection through essay tests. The collected data were analyzed using the t-test at a significant level = 0.05. Obtained tcount (6.87) &gt; ttable (1.76). So it can be concluded that the learning outcomes of class IV students at SD Negeri 2 Lubuk Ngin are complete after participating in learning Indonesian with monopoly media. &#x0D; Keywords: Media monopoly, Indonesian language learning outcomes
PENERAPAN METODE STORYTELLING MENGGUNAKAN BONEKA TANGAN TERHADAP HASIL BELAJAR BAHASA INDONESIA KELAS III SD NEGERI BANDUNG BANPRES

The aim of this research to determine the completeness outcomes of learning Indonesian language for the third grade students of Bandung Banpres Elementary School after applying the storytelling method by using hand puppets. The research used was quasi experimental. The techniques of collecting the data in this research used a test in the form of multiple choice questions. The techniques of analyzing data used normality test and t-test. The average of pre-test score was 60,22 with the persentage of students completing 33,33% while 66,66% of students did not complete, while the average score of the post-test was 75,56 with the persentage of students completing 80% and 20% of students who did not complete. The finding shows that mean value of post-test is greater than the pre-test with an increase of 15,34. The collecting the data were analyzed using t-test then obtain ttable = 1.69 and thitung = 5.405. Because thitung &gt; ttable then Ha is accepted and Ho is rejected. The finding of this research shows outcomes of learning Indonesian language for third grade students of Bandung Banpres Elementary School after participating in learning Indonesian language with the storytelling method by using hand puppets significantly and complete. &#x0D; Keywords: Hand Puppets, Learning Outcomes, Storytelling
Weather Identification Method of Photovoltaic Power Fluctuation Based on Power Fluctuation and Astronomical Factors

Under the guidance of "carbon peak" and "carbon neutral" goals, photovoltaic power generation system has developed rapidly. However, when it is operating, the photovoltaic system is greatly affected by the transition weather compared with the stable weather. In order to effectively identify transition weather types from historical PV data. In this paper, a new method for weather identification of photovoltaic power fluctuation is proposed, which combines power fluctuation and astronomical factors. Firstly, the weather types were initially divided into five categories according to the photovoltaic power change rate. Secondly, the definition index of astronomical factor was introduced for cross subdivision, and the weather types were divided into turning weather types and stable weather types. This method takes into account the particularity of the variation of photovoltaic power and atmospheric conditions when the weather is abnormal. Experimental results show that the proposed method can identify the transition weather effectively.
Pengembangan E-Modul dengan Aplikasi Canva dan Flipbook Pada Pembelajaran Ekonomi

The purpose of this research is to 1) Develop e-module using the Canva Design and Flipbook applications in economic learning subjects as a feasible learning media. 2) Knowing how the feasibility of e-module. 3) Knowing how the practicality of e-module for economic learning media at SMA N 1 Gunung Talang. This research method is a research and development method (Research and Development) with the Thiagarajan development model known as 4-D which consists of 4 stages, namely (Define, Design, Develop and Disseminate) but the research is limited to the development stage only (Develop). E-module products are possible to produce based on the approval of content, media, and language experts.
Peningkatan Kemampuan Mengetik Siswa Melalui Penggunaan Aplikasi Typing Master Sebagai Media Pembelajaran

This study aims to find out to determine increase students' speed before using the application and after using the Typing Master application in the OTKP major at SMK Nusatama Padang, and improving students' typing accuracy before using the application and after using the Typing Master application in the OTKP major at SMK Nusatama Padang. This type of research is class action research (CAR). The research design used consisted of several cycle stages starting from the Pretest, Cycle I, Cycle II, and Posttest. This research was conducted on 19 students of class X OTKP 2 SMK Nusatama Padang. The instruments used are observation sheets and assessment sheets. Data collection techniques use observation, tests, and documentation. The data analysis technique used is data reduction, data presentation, and drawing conclusions. The criterion for success in this research was the total number of students who passed the specified typing target, namely 70%, or as many as 14 students graduated from a total of 19 students with a speed of 80 cpm and 90% accuracy. Based on the results of each cycle there was an average increase in the number of students who reached the target, namely in Cycle I 73.68%, Cycle II 68.42%, Cycle III 73.68%, and Posttest 78.94%. That way it can be concluded that the use of the Typing Master application to increase the typing speed of class X OTKP 2 students is declared acceptable.
Values in education and modern university

The article is devoted to the analysis of the value-worldview aspect of modern university education. The “mass university” of the last quarter of the 20th — early 21st centuries, which set itself the underestimated task of “providing educational services” for the formation of a society of “qualified consumers”, practically ignored the classical experience of transferring knowledge associated with the spiritual education of the personality of an intellectual, the formation of his worldview. The Fundamentals of State Policy for the Preservation and Strengthening of Traditional Russian Spiritual and Moral Values, put into effect in 2022 by the Decree of the President of Russia, require overcoming this defect of the modern educational paradigm and bringing its parameters to adequate traditions and modern realities of the social norm. The authors of the article dedicate that in accordance with the list of the main traditional Russian values given in the documents of the strategic development of Russia, it is necessary to portray the image of a university graduate in the middle of the 21st century as a highly qualified specialist with critical thinking, historical memory and a broad cultural horizon. For this, among other things, it is necessary to solve an interdisciplinary task: to bring the most important value and worldview concepts into the normative system, to make the list generally understandable and generally accepted for all participants in the processes of education and upbringing. This should be work involving specialists in various fields of knowledge, including philologists, lawyers, educators, philosophers, cultural and political scientists, sociologists and, no doubt, theologians. The theology of Christianity and other traditional religions ads the deepest and most complete source of value worldview. Therefore, according to the authors of the article, basic theological principles should become a necessary element of education in a modern Russian university.
Pan Voyevoda by N. A. Rimskii-Korsakov. To the Creative History of Opera

In the N. A. Rimskii-Korsakov’s legacy there are operas that seem to be in the shadow of his great creations; among them is the opera Pan Voyevoda (1903) to a libretto by I. F. Tyumenev (without using any historical or literary source). The opera was the result of the composer’s long-cherished plan to create an opera on a Polish plot, so that in it “there would be no place for politics or national enmity”. Romantic events that took place in the 16th–17th centuries are presented in many respects in the traditional musical solution, which does not exclude the presence of bright dramatic situations, dramatic alignment, magnificent melodies, famous national dances. The surviving documents: letters, memoirs of both authors, as well as autographs of the libretto, clavier (partially) and scores from the archives of St Petersburg allow us to recreate the process of working on the work. The main time of work on the musical text was in the summer of 1902, when the composer left for Heidelberg to live with his son. The execution of several other creative works in parallel, including the re-interpretation of the Stone Guest by A. S. Dargomyzhsky, did not interfere with the active process of working on Pan Voyevoda. The first three acts of the four (the last act is very short) were written in less than three months, and during the winter and spring of 1903 N. A. Rimsky-Korsakov performed the orchestration. Musical autographs show how the work was carried out: the text of the libretto was clarified, sometimes expanded or shortened, the composition of the characters was determined, intonation and harmonic variants were introduced, the orchestration changed, and so on. The composer strenuously searched for optimal means of expression, creating a national color and a special “timeless aura” of Polish antiquity. It is no coincidence that the composer marked on the title page a dedication to the Memory of Frédéric Chopin.
Social Norms in the Online Environment: A Psycho-Behavioral Perspective

Personal space has little meaning in many virtual environments, but it is quite relevant in a virtual space such as a “second life” space. From the perspective of legal and social norms, things are different and the rules of the online environment often are very similar and applicable legal social norms, being a normalized space and divided between individuals represented online and legal entities that also build a virtual identity. The myth of anonymity in online environment is a big challenge for those who have to maintain the order and security in society.