Reviewerly/exHarmony huggingface dataset:
The Influence of The 5E Learning Cycle Strategy with A Link Map on Students' Mastery of Physics Concepts and Science Process Skills

Link maps help students correlate interconcepts in order to facilitate students mastery of the concept learned. The researcher accompanied the link map in learning to find out its effect on concept mastery and students science process skills. This study used a quasi-experimental research design by providing a posttest only for the control group. The sample consisted of two classes, divided into an experimental class and a control class. The experimental class was taught using the 5E learning cycle strategy accompanied by a link map, and the control class was taught using the 5E learning cycle strategy only. The results of the analysis showed that there were differences among students who studied using the learning cycle with link maps and students who studied using the 5E learning cycle only. The further test result indicated that students who learned using the 5E learning cycle with a link map had better concept mastery of physics and science process skills than those who studied using the 5E learning cycle alone. DOI: 10.17977/jps.v11i12023p027
Method of Harmonics Parameters Identification and Anomalies of a Periodic Time Series Based on Adaptive Decomposition

Periodic time series have many applications — financial indicators, indicators of air quality, indicators of the state of water, etc. Accordingly, simulation of time series and pattern analysis are relevant and quite common tasks for understanding possible trends and changes for correct and timely actions. Important parameters of periodic time series are their trends, seasonal components, and anomalies. There exist numerous methods to determine the trend of a time series, but when it comes to the simultaneous identification of parameters of various types of seasonality and anomalies of different nature in different periods, this task is not trivial and there is no universal solution for this problem. Most of the solutions are specific to a specific subject area or demonstrate insufficient adequacy and accuracy of approximation. New method of identifying parameters of harmonics and anomalies of a periodic time series, based on the adaptive decomposition of the series, has been developed. It is proposed to decompose a given time series with a period up to half of the total number of time series records and to plot the ratio of the amplitudes of the seasonal component to the amplitudes of the series itself — the so-called “decomposition curve”. Then, smooth this curve and find local maxima, which are proposed to be considered as corresponding to the period of possible types of seasonality of the series. Considering many years of experience using the Facebook Prophet model, a set of relations between values of the seasonality period, the order of the Fourier series for its approximation, and the degree of regularization that should be taken into account are proposed. For each type of seasonality in each period, one of the known methods should be used to find anomalous data and check their statistical significance. Statistically significant anomalies are collected in a combined set with typical parameters. A few possible variants of the structures of such time series models are proposed. The algorithm of the method is developed, and its main components are described. The offered method was tested in Python in the notebook of the Kaggle platform. This notebook uses the Facebook Prophet model on real data of air quality observations obtained from one of the EcoCity public monitoring network stations within the international program “Clean Air for Ukraine”. Tests showed that compared to the model with default parameters and default parameters of seasonality, the optimal model of the proposed method improved the accuracy of the approximation for the R2 metric — by 1,7 times, and for the MSE metric — by 2 times. This confirms the effectiveness of the offered method.
Study on Inspection System of Surface Structures by Passive Rotating Spherical UAV

We are developing a robotic system that suspends a spherical helicopter by multiple wires for safe and highly efficient inspection of glue surfaces and bridges. This system takes the form of a UAV suspended by tethers from different directions. Minimizing tether tension is an important issue because tether tension affecting a spherical helicopter, especially when operating in "flight mode," causes flight envelope limitations and payload limitations. Depending on the installation environment, it is possible to suspend a spherical helicopter with more than two tethers. If the number of tethers suspended from different directions is increased, it is expected that the tether tensions on the spherical helicopter will be canceled out and the tether tensions will be kept small. The purpose of this paper is to propose and verify the principle of a method to minimize the effect of three or more tethers on the spherical helicopter by canceling each other's tether tension.
Nonlinear Programming-based Robot Motion Planning for Gait Measurement when Passing Pedestrians

In an aging society, the burden on medical personnel is increasing. To efficiently reduce this problem, a robotic system that can perform multiple tasks simultaneously is desired. In this research, we propose an algorithm that combines ward patrol and gait measurement of passing pedestrians by assigning robot motion planning to nonlinear programming. The feasibility of gait measurement is considered in the evaluation function, and constraints such as kinematic constraints, collision avoidance, and timely arrival at the checkpoint are considered in the constraint conditions. Through the simulation, it is confirmed that the gait measurement was successful in more than 95% of all trials, and the constraints considered in the constraint conditions are always satisfied. The results indicate that our proposed method is practical as an autonomous gait measurement system while satisfying all the constraints.
機械学習によるオンライン手書き図形における分類精度の検討

In this paper, the authors aim to correct strokes for input of handwriting diagrams. In order to achieve this correction, they propose a method which is in real-time using machine learning. In addition, they aim at the precision improvement by using a classification prediction model with regression one concurrently. They also focus on real-time performance and evaluate the computation speed of different machine learning models.
Standard Deviation Labeling A New Partitioning Strategy for Spatial Temporal Graph Convolutional Networks in Human Interaction Recognition

Inter-body and intra-body connections of joints in human skeleton data are crucial information for graph-based models to perform better in human interaction recognition tasks. In this paper, we introduce a new partitioning strategy to label edges in skeleton graphs for the Spatial Temporal Graph Convolutional Networks (ST-GCN). This strategy is calculated based on the standard deviations of joint distances of two skeletons. Combining our strategy with the two-person graph and symmetry processing proposed in [1], we achieve better performance of the ST-GCN model on the human interaction recognition task. The experiments were conducted in four large and popular datasets: NTU RGB-D x-sub mutual, NTU RGB-D x-view mutual, NTU RGB-D120 x-sub mutual, and NTU RGB-D120 x-set mutual.
アントコロニー最適化を用いた飛行禁止区域を考慮したドローンの経路計画

The shortest path should be desired for considering flight time or battery capacity when the path of a UAV is planned. This study assumes a no-fly zone in a flight area where a UAV cannot travel. Under this condition, we planned the path of a UAV by ant colony optimization in computer simulations, then conducted the auto-flight experiment of the UAV on the obtained path.
Manipulator path generation based on simple motion teaching and contact information

There is a demand for robots that can work in place of humans with the problem of labor shortages in Japan’s industrial sites. However, motion teaching to the robot is very time consuming with conventional methods and a heavy burden on the instructor. Therefore, we aim to make the motion path generation automatic in order to reduce the burden on the instructor. The path generation generates a path that does not contact any obstacles. In our proposed method, the instructor only needs to set the transit point and parameters, and the path is automatically corrected based on the force information obtained at the time of contact. The parameter adjustment process is difficult, so it will be necessary to consider making it automatic in the future.
日本の伝統文化（能・文楽・工芸）適応で先端ロボットが人との親和性を拡大する解の探求

Robots that expand its affinity with humans by adapting traditional Japanese cultures will become a product innovation that makes the world happy like Japanese animation.
Longitudinal evidence of entrepreneurial behaviour in a blockchain-based decentralized autonomous organization: Case study of the Nano cryptocurrency

Objective: The article aims to investigate how entrepreneurial behaviour among members of decentralized autonomous organizations (DAO) changes over time. Decentralized autonomous organizations allow for the creation of distributed organizations driven by organizational entrepreneurship, many of which are based on blockchain technology. The self-organization of DAO members and their entrepreneurial behaviour are crucial to the organization’s development. Research on entrepreneurial behaviour in DAOs is scarce. Cryptocurrency markets, blockchain technologies, and community sentiment can evolve rapidly, making it important to longitudinally research such organizations and the entrepreneurship among their members. Research Design &amp; Methods: We formulated research propositions and combined qualitative and longitudinal interviews with entrepreneurially active members of a DAO with data science-based sentiment analysis of the main Nano community over the course of 16 months. Findings: The entrepreneurial behaviour of DAO members can hinge on external circumstances, such as the health of the overall cryptocurrency market. Partly resulting from a crypto downturn, some of Nano’s entrepreneurially active members reduced their engagement and stopped or downsized their conduction of entrepreneurial tasks. This change was also linked to lower levels of community activity and deteriorating sentiment scores. Entrepreneurial tasks such as marketing or outreach to customers were conducted to a lesser extent. The resulting picture is one of a fluid state of entrepreneurship within this DAO. We also found internal factors influencing entrepreneurial behaviour, especially related to the distinction between technology-oriented and market-oriented members and their changing levels of activity. Implications &amp; Recommendations: The findings highlight the influence of external factors – such as the health of the cryptocurrency market – on the entrepreneurial behaviour of DAO members. This suggests that the success and engagement of entrepreneurial individuals within a DAO can be subject to volatility and fluctuations in the broader market, emphasizing the need for adaptability and resilience. Contribution &amp; Value Added: This is one of the first articles to address the connection between entrepreneurship and DAOs based on blockchain. In doing so, it benefits from a unique data set comprising quantitative and qualitative elements.
軟弱地における地盤改良を伴う移動の検討

In this paper, we examine a method to make it easier for robots to move on soft ground by hardening the ground. After examining several methods of hardening the ground, we came to the conclusion that calcination of grain flour dissolved in water is suitable.
Development of Paddle-Wheel Weeding Robot

The purpose of this study is to develop a weeding robot with paddle-wheel mechanism in order to reduce the labor in weeding paddy fields. The weeding robot is used paddle-wheel in order to travel on the water surface. First, two types of paddle-wheel were prototyped to improve propulsion performance. Second, the chain was used as the stirring mechanism. The effectiveness of the developed weeding robot is verified by the result of the experiments.
モグラの地中動作を模した小型掘削機構の研究

In this research, we propose an underground excavation robot that can move in the ground. This robot reproduces the movement of moles using biomimetics. However, there are few detailed documents about the movement of moles. Therefore, it is performed from the analysis of the operation of the mole. This year's research aims to elucidate the unknown movements of moles by filming their digging behavior using a transparent gel instead of soil. The objective is to develop a mole-type underground excavation robot using a water hydraulic actuator based on the data obtained from the filming.
Asura hands: VR環境での複数腕への身体性転移

Body ownership is the feeling that a body part belongs to you, and agency is the feeling that you have control over your body part. In this study, we investigated whether body ownership and agency occur for fake body parts in a VR environment. The results of the questionnaire suggested that the agency was felt for two seen left hands for this condition. Especially, the agency was strongly felt against the medial left hand. In contrast, the body-ownership felt mostly against the seen hand that was spatially consistent with the actual hand. These results showed that Body ownership was unlikely to be felt in the two left arms at the same time, but Agency was likely to be felt in both arms.
A Pair of End-Effectors for Unfold-to-Fold Fabric Manipulation

This paper describes a pair of end-effectors for manipulation a fabric product based on pinch-and-slide unfolding. One end-effector is two-fingered and has a passive rotation mechanism. This mechanism prevents the fabric from falling off the fingers when spreading the fabric in a pinch-and-slide motion. We also devise the mechanism to keep the fingers parallel to handle various fabric thicknesses. In addition, the other end-effector and its motion method were proposed for smooth folding after unfolding. Experiments were conducted to investigate the effectiveness of the end-effectors, and it was confirmed that unfold-to-fold manipulation were possible with fabrics of different thicknesses and weights.
VR機器を用いたバドミントンのハイクリア動作におけるフィードバックシステムの開発

In recent years, research on training systems that improve abilities through exercises and experiences via VR devices has been conducted in various fields. In the field of sports, VR-based training has been developed for many sports. In this study, we focused on the internal and external rotation in the high clear movement of badminton, and conducted an experiment to verify the change in the internal rotation before and after training by imitating the movement of a skilled player to improve the internal rotation in a VR space. As a result of the experiment, it was confirmed that the intra-rotational movement of the badminton high clear movement improved.
野球投動作における協調動作の解析

Compared to 40 years ago, motor skills of children are reduced. It is very important for life to have exercise habits from childhood. Because we believe that improving exercise can lead to the enjoyment of exercise, we will develop system to support exercise improvement. In this study, we focused on cooperative actions and aim to evaluate and support the acquisition of cooperative actions. So, we focused on baseball pitching, we compared the ball speed between the experts and the beginners, and we developed a method to extract cooperative actions in baseball pitching and evaluated the actions of experts and beginners. This paper reports the result of this study.
Implementasi Dan Pemanfaatan Blended Learning Bagi Mahasiswa STMIK Pranata Indonesia

Abstract&#x0D; Entering the beginning of 2020 the world community was shocked by the corona virus outbreak (Covid19), the rapid spread and infected patients who were suspected of being able to spread through physical contact also through the air and could cause death caused the World Health Organization (WHO) to declare the world into a global emergency related this virus corona virus outbreak has had an impact on the education sector. Almost all students or students around the world are disrupted in their school activities or lectures and result in the threat of their educational rights in the future. By utilizing online technology it is hoped that all work can continue to be carried out to support work or the learning and teaching process. Implementation and Utilization of E-Learning where students and lecturers can communicate or interact easily from long distances and different places Moodle is one of the applications of the concepts and mechanisms of teaching and learning that utilize information technology, known as electronic learning concepts or e- learning.&#x0D; Kata Kunci : E-Learning, Covid19, Moodle, LMS, Implementasi, Pasca Covid.
Optimizing Educational Institutions: Web-Based Document Management

Documents, which consist of written or printed materials, play a crucial role in educational activities. Private schools in Tangerang still face challenges in efficiently storing, accessing, and managing educational documents. Manual document storage consumes a significant amount of time and physical space. Therefore, a technology-based solution is required to address this issue. This research aims to develop a web-based Document Management System (DMS) that allows teachers and school staff to easily manage, store, and access educational documents digitally. The software development method employed is the Waterfall model, involving a series of stages ranging from needs analysis to testing and implementation. The outcome is a web based DMS application accessible to teachers in the school. This application enables teachers to view, upload, edit, and download teaching materials effortlessly. Additionally, teachers can manage their teaching schedules and user access rights. The usability of DMS has been tested through User Acceptance Testing (UAT), and users have provided positive feedback on the application. This web based DMS effectively addresses the issues related to document storage in schools, enhancing the efficient management of educational documents, reducing dependence on physical documents, and increasing productivity in the learning process. Consequently, this DMS holds great potential as a valuable tool in the educational context of the school.
Literal Translation Method for Japanese Language Education Students

This study aims to identify the types of translation methods used by students in Japanese news texts News Web Easy. The method used in this research is descriptive qualitative. Data collected used the listening method and note-taking techniques. The theory used is the translation method theory according to Newmark (1988). Respondents in this research were taken from Japanese Language Education students at Riau University. The results of this research show that 48 data were found in sentences translated by students using the literal method
PERAN APOTEKER DALAM PEREDARAN OBAT SECARA DARING DI PRAKTIK KEFARMASIAN DI PURWOREJO

Online drug distribution are one of the essential elements to realize health in health administration. The Food and Drug Monitoring Agency (BPOM) has provided and disseminated Regulation 8 of 2020 concerning the Control of Drugs and Food Circulated Online. This study aims to determine the role of pharmacists in online drug distribution in pharmaceutical practice. Sampling was done by purposive sampling with interviews. Informants in this study include pharmacists who practice in pharmacies that already serve online drug sales, furthermore, the data is processed with NVIVO 12 Pro software. The study results show that pharmacists' role in online drug distribution is to serve incoming drug requests, ensure the availability of quality drugs, ensure that these requests comply with applicable regulations, and ensure that the drugs reach patients safely.
Applying CGC (Close Gank Challenge) Technique to Increase Students’ Speaking Skill

CGC is an innovative method from the Conversation method but this one has different ways to teach English. CGG is focused on speaking that takes part everywhere in daily activities. This approach encourages students’ participation and gets ready the students to face real-life communication. At the leading edge, conversation manner can actually boost the students speaking and self-confidence. The type of research used in this study is classroom action research. The subject of this study is the students in 9th Grade of SMP IT AL-HILMI Dompu. The class chosen is 9th Akhwat Grade that consists of 20 students within. In conducting the research, the researcher did classroom observation, video recording, and an interview to make sure the students comprehension. , Research findings determined that the action and implication of the CGC technique in the teaching-learning process of speaking skill continued to improve. All of these data indicated that the students demonstrated a positive attitude and response during the teaching learning process CGC (Close-Gank Challenge) technique assisted students in learning how to speak easily. Based on the data and data analysis, it appeared that the student’s scores much improved
動作予測情報を利用したアバター動作変調による身体感覚操作

This paper examines the changes in bodily sensations that occur when a person visually sees their own predicted movements. Previous studies have investigated interactions in which avatars move ahead of person based on their body movements, resulting in the sensation of a lighter body. It is known that when the avatar’s sense of bodily ownership and sense of agency for movement decreases, the link between the person and the avatar is lost, and as a result, the impact of the avatar’s movement modulation on the user becomes less significant. Therefore, this study examines how people feel and how their sense of bodily ownership and subjectivity toward the avatar’s movement changes when a time-shifted avatar is shown to a person. In particular, the use of prediction is a contribution of this study. The results of the participant experiments confirmed that a sense of bodily ownership and a sense of agency in movement are necessary for people to feel a sense of improvement in their motor skills and a sense of lightness in their bodies.
両眼の角膜反射像による３次元注視点の評価

The model-based method used for gaze estimation can obtain the 3D point-of-gaze by calculating the intersection with binocular visual axes. However, the estimated 3D point-of-gaze is unstable, and thus, error metrics are essential for evaluation. In this paper, we propose a method to evaluate the estimated 3D point-of-gaze using the similarity of scene reflection images extracted from the corneal surfaces. This method is based on a hypothesis that the similarity of the scene reflection on the binocular corneal surface is significantly reduced when the error of point-of-gaze is large. In evaluation experiments, we intentionally added an error to the coordinates of the 3D point-of-gaze, and we confirmed that the similarity of the scene reflection could be used for an error metric.
Study of the Electric Wheelchair Control with a Gait Sensing System

In recent years, the population of japan has been aging rapidly. In contrast, the current mainstream wheelchair in the nursing care facility is the hand-pushed wheelchair. This places a heavy physical burden on caregivers. In order to solve this problem, we have developed an electric wheelchair control system based on gait sensing. LIDAR measures the distance to a detected object by laser scanning. Using this, the system reads the caregiver’s legs as a point cloud and speed commands are transmitted to the wheelchair and the result is that forward, stop, and backward can be speed commanded in relation to the position of the caregiver, which is behind the wheelchair. This system will reduce the physical burden on caregivers and will be one of the ways to cope with the aging population that will advance in the future.