Reviewerly/exHarmony huggingface dataset:
Implementasi E-Monitoring Aktivitas Siswa Pada SMKN 5 dan SMKS 2 Medan Putri Berbasis Web

SMK Negeri 5 Medan is one of the vocational high schools in the city of Medan. One of the visions and missions of this school is to increase discipline in complying with existing regulations. One of the things that must be disciplined is attendance, timely collection of assignments and payment of tuition fees that must be on time. But in reality there are still some students who do not attend school because the student withdraws so that parents feel worried about the condition of their children at school, whether they actually go to school or not and parents also cannot know the progress of how many grades their children have earned in general directly because of busy work, there are even students who cannot maintain the mandate to pay tuition fees that have been deposited by their parents. Therefore, a system is needed to monitor student activities at school. Monitoring activities are the main activities in the world of education. However, these activities cannot be carried out optimally. Parents still find it difficult to monitor their children's learning activities at school. Notification of student achievement (grades) is only made at the time of receipt of the final report. Therefore we need a system that facilitates the process of monitoring and assessing students, both for teachers and parents to overcome these problems. The purpose of this research is to develop a student monitoring system (E-Monitoring). The method used to develop this system is data collection, hardware and software analysis, system design and analysis as well as system implementation and testing. The result of this study is a system that can assist teachers in managing grades, recap student errors, and facilitate parents to monitor and obtain information about their children's learning activities clearly and in real time.
PENGARUH VARIASI STATOR TURBO BLADE TERHADAP KEKUATAN DORONG TURBOJET DRIVE PRODUK 3D PRINTING MATERIAL ST-PLA

Turbojet drive or water jet as we know today that turbojet drive technology is a marine system that produces water jets for propulsion. However, the thing that must be considered is the thrust generated by the propeller because of a problem that is often discussed. The purpose of this study was to determinet the effect of variations of the turbo stator on the trust of the tubojet drive using the ST-PLA 3D printing material.in this study, the turbojet drive design method uses the concept of an outboard engine with the help of tools and hanging scales to get the value of the thrust so that it can be  analyzed later. This study compares 3 forms of turbo stator, namely 4 Blade, 6 Blade and 8 Blade, based on the results of this study it was found that the variation of the turbo stator has a major influence on the thrust of the turbojet drive with 3D printing product ST-PLA material. The test results show that the 8-blade turbo stator has the highest thrust with an average value of 44.145 N and the 4-blade turbo stator has the lowest thurst with an average value of 24.525 N. Besides, this data can also be used as a reference for development of a turbojet drive according to the desired speed with the selection of a turbo stator variation that has been tested.
Teaching Human-Computer Interaction for Social Good

The subject of human-computer interaction can serve for motivation of students of computing undergraduate courses, by empowering them in addressing problems of social importance and raising awareness on ethical issues. This is particularly important as there is a recognised lack of professional ethics direction in programs of study in most curricula. In this paper, it is argued that the subject of human-computer interaction is particularly suitable to serve this role, as it can relate to real life situations more easily than other theoretical or more technical subjects. Examples are provided of teaching interventions that relate the students to critical problems, e.g. to evaluate and re-design web sites of social relevance, design technologies for social inclusion, etc. It is argued that through such approaches of teaching human-computer interaction, computing is situated in a socially relevant context, motivating the students and increasing the learning effect of the teaching intervention.
Plugin Framework-Based Neuro-Symbolic Grounded Task Planning for Multi-Agent System

As the roles of robots continue to expand in general, there is an increasing demand for research on automated task planning for a multi-agent system that can independently execute tasks in a wide and dynamic environment. This study introduces a plugin framework in which multiple robots can be involved in task planning in a broad range of areas by combining symbolic and connectionist approaches. The symbolic approach for understanding and learning human knowledge is useful for task planning in a wide and static environment. The network-based connectionist approach has the advantage of being able to respond to an ever-changing dynamic environment. A planning domain definition language-based planning algorithm, which is a symbolic approach, and the cooperative–competitive reinforcement learning algorithm, which is a connectionist approach, were utilized in this study. The proposed architecture is verified through a simulation. It is also verified through an experiment using 10 unmanned surface vehicles that the given tasks were successfully executed in a wide and dynamic environment.
An Analysis of High School Mathematics Curriculum Organization - Focused on the questions range of CSAT mathematics section -

The high school credit system, which emphasizes the choice and diversity according to the student's career and aptitude, has a great task in connection with the university entrance system including CSAT(college scholastic ability test). Since CSAT system integrated in literary arts and natural sciences will be introduced for the first time in 2022 CSAT based on the 2015 revised curriculum, An analysis of the current state of curriculum organization at unit schools is required. The purpose of this paper is to analyze the current state of high school mathematics curriculum organization, focusing on the questions range of CSAT mathematics section, to examine how changes in CSAT system affect mathematics curriculum organization of unit schools, and to explore improvements and implications for mathematics curriculum organization. For this study, the current status of the two-year mathematics curriculum organization of 190 general high schools and 39 autonomous high schools belonging to the Seoul Metropolitan Office of Education were surveyed. As a result of the analysis, it was confirmed that the change in the questions range of CSAT mathematics section significantly affected the mathematics curriculum organization. And there was not only a large difference in student choice for elective subjects in CSAT mathematics section by unit school but also cases such as not being guaranteed student choice have been confirmed. The analysis of the actual condition of high school mathematics curriculum organization could provide implications for the curriculum organization for the stable settlement of the high school credit system based on the 2015 revised curriculum.
Study on comprehensive evaluation of pavement condition based on comprehensive integration weighting method and cloud model

In order to improve the accuracy of the comprehensive evaluation results of the pavement condition, this paper conducted a letter inquiry on the weight of each evaluation index of the pavement in the form of several rounds of expert questionnaire according to the Delphi method. Then the correlation degree of each index to the comprehensive evaluation results is measured according to the grey relational degree theory so as to achieve the purpose of revising the comprehensive evaluation model of road condition; Secondly, based on the cloud model theory, this paper constructs the index weight-cloud model and membership-cloud model. By analyzing the cloud characteristic parameters and the effect diagram of the cloud model, it analyzes the fuzziness, randomness and discreteness existing in the process of road condition evaluation model, so as to verify the reliability of the modified evaluation model. The engineering example shows that the modified pavement performance evaluation model has sufficient reliability.
Adopting a Modern Dev+Ops Model

Modern Dev+Ops is allowing organizations to meet the evolving needs of their customers faster and more consistently by closing the gap between dev and ops functions.Companies of all shapes and sizes have tossed aside waterfall product management cycles and embraced agile and DevOps for the promise of faster innovation, improved security, performance, and resilience, as well as happier developers and customers. But even with all of the benefits of DevOps, it isn’t perfect. DevOps came into existence before developing and hosting applications in the cloud was a standard practice, and though it has been around for a long time, it is still largely open to interpretation from one organization to the other. For example, many organizations still consider DevOps to be a dedicated team, and in other cases, it can mean developers doing all of the operations work. As technology has evolved, so has our definition of DevOps. We call this approach Modern Dev+Ops, andit is centered around bringing developers and operations closer by sharing operational tasks like compliance, observability, resilience, and infrastructure earlier into the development process and enhancing it with AI/ML.
The Effect of Disturbance in UML Sequence Diagram Images on Image Plagiarism Detection Ability Using the Perceptual Hash Algorithm

The Perceptual Hash algorithm has been widely used, especially to detect similarity or plagiarism of an image. Of course, this ability is applicable in education fields, such as plagiarism detection in collecting assignments for designing UML sequence diagrams. However, the algorithm&#x0027;s ability to detect image similarity may be affected by disturbances or changes in the image. Therefore in this paper, we researched the effect of disturbances in UML sequence diagram images on the ability to detect image similarity that the Perceptual Hash algorithm can do. The image disturbances we studied are rotating and skewing, which may be reasonable for students. These disturbances were tested on digitally generated images. The test results show that the Perceptual Hash algorithm&#x0027;s ability to detect the similarity of UML sequence diagram images is not affected by disturbances that occur in the image. The algorithm can still detect plagiarism attempts on UML sequence diagram images that have disrupted with a similarity detection rate above 60&#x0025;.
Auxiliary Modeling of Computer and Signal Compression Technology in Vocal Music Guiding

The application of signal compression technology in vocal music teaching makes professional teaching intuitive, more continuous and interactive. Use it in the evaluation model of vocal music teaching to conduct real-time or staged evaluation of teaching content, teaching process and teaching results to form a music professional characteristic with information feedback function, identification function, guidance function, and motivation function. Small class teaching evaluation model. This paper studies that the emergence of signal compression technology has greatly facilitated and helped vocal music teaching in colleges and universities, making vocal music teaching more intuitive and clearer. It can also be adjusted for students' problems in vocal practice.
Actual Satellite Imagery Sources

Abstract The huge benefit of the Internet is that it not only connects people from all over the world but also provides information that would otherwise be unavailable. Anyone who needs access to the latest satellite imagery can take it via many platforms provided remote sensing data, either for free from the websites belonging to national research and space centers or for a fee charged by commercial companies. The article offers an overview of the most used services, whose data are available and suitable for processing using EarthExplorer – a platform of the U.S. Geological Survey agency.
The Pomeron — A Bootstrap Story

In a contribution to the volume {\it A Passion for Physics}, a collection of essays in honor of Geoffrey Chew's sixtieth birthday, I wrote, together with A. Capella, Uday Sukhatme, and Tran Thanh Van {\it The Pomeron Story.} This is a follow-up to that contribution. This sequel also serves as an opportunity to acknowledge my gratitude to Geoff as a PhD student under his tutelage.
A Hybrid Approach to Prototyping and Testing: Combining Physical and Virtual Reality to Connect Users and Designers

During the COVID-19 pandemic, various social distancing measures have been implemented worldwide.These measures have delayed design projects by prohibiting face-to-face interaction between designers and users and preventing users from physically touching prototypes.Virtual reality (VR) technology may offer a solution to this problem.To support design projects during the COVID-19 pandemic, this paper presents an approach to user evaluation that combines physical and virtual prototyping.Users can test design solutions and offer feedback both in person by visiting design studios and remotely using VR technology.The paper discusses the benefits and limitations of this hybrid approach for stakeholders in design projects.
Analysis of CSAT English tests as criterion-referenced tests: With regard to main predictors of item difficulty

Given a great variance of the number and percentage of test-takers with high band scores in the CSAT English tests for the 2015-2020 academic years, the present study compared these six tests in terms of facility index (FI), measures of lexical richness and syntactic complexity, distractor feasibility, information density in listening materials, familiarity of speakers’ pronunciation and accent, and levels of background knowledge required to understand reading passages, which are all said be major predictors of question item difficulty. One-way ANOVAs, independent sample Kruskal-Wallis H tests and chi-square tests showed that there was no significant difference concerning FI and any of the predictors not only between the six CSAT English tests but between their reading parts. There was also no significant difference between the listening tests except that the test for the 2017 academic year was significantly easier than for the 2016 and 2018 ones. These findings together mean that the introduction of criterion-referenced testing in the 2018 academic year has brought no substantial changes to CSAT English tests. Interestingly, however, there was a significant difference in FI between the six sets of the 13 most difficult questions drawn from each test, which was a reason for the great variance of high scorers between the six tests. The study concluded with some pedagogical discussions.
Handling Trust in a Cloud based Multi Agent System

Cloud computing is an opened and distributed network that guarantees access to a large amount of data and IT infrastructure at several levels (software, hardware...). With the increase demand, handling clients' needs is getting increasingly challenging. Responding to all requesting clients could lead to security breaches, and since it is the provider's responsibility to secure not only the offered cloud services but also the data, it is important to ensure clients reliability. Although filtering clients in the cloud is not so common, it is required to assure cloud safety. In this paper, by implementing multi agent systems in the cloud to handle interactions for the providers, trust is introduced at agent level to filtrate the clients asking for services by using Particle Swarm Optimization and acquaintance knowledge to determine malicious and untrustworthy clients. The selection depends on previous knowledge and overall rating of trusted peers. The conducted experiments show that the model outputs relevant results, and even with a small number of peers, the framework is able to converge to the best solution. The model presented in this paper is a part of ongoing work to adapt interactions in the cloud.
Problems of Inconsistency and Didactic Functions of ICT Tools in Computer Science Courses

The purpose of the study is to consider problems of continuity of computer science education at the school and university levels. This article analyses the main reasons for the lack of continuity at the tertiary level. The continuity of learning providing the interrelation between different levels of life-long learning is one of the approaches to solve the problem of improving the quality and efficiency of the educational process. The results of the study reveal that different levels of computer science training for school leavers are needed to solve this problem. In respect to the analysis of the main conditions for planning the teaching process, differentiated teaching is recommended as a good solution to the situation.
Enhancing rating prediction for recommendation by metric learning with gray relational analysis

Purpose The purpose of the paper is to improve the rating prediction accuracy in recommender systems (RSs) by metric learning (ML) method. The similarity metric of user and item is calculated with gray relational analysis. Design/methodology/approach First, the potential features of users and items are captured by exploiting ML, such that the rating prediction can be performed. In metric space, the user and item positions can be learned by training their embedding vectors. Second, instead of the traditional distance measurements, the gray relational analysis is employed in the evaluation of the position similarity between user and item, because the latter can reduce the impact of data sparsity and further explore the rating data correlation. On the basis of the above improvements, a new rating prediction algorithm is proposed. Experiments are implemented to validate the effectiveness of the algorithm. Findings The novel algorithm is evaluated by the extensive experiments on two real-world datasets. Experimental results demonstrate that the proposed model achieves remarkable performance on the rating prediction task. Practical implications The rating prediction algorithm is adopted to predict the users' preference, and then, it provides personalized recommendations for users. In fact, this method can expand to the field of classification and provide potentials for this domain. Originality/value The algorithm can uncover the finer grained preference by ML. Furthermore, the similarity can be measured using gray relational analysis, which can mitigate the limitation of data sparsity.
The Estimation of Image Jacobian Matrix with Time-Delay Compensation

Time delay exists in image-based visual servo system, which will have a certain impact on the system control. To solve the impact of time delay, the time delay compensation of the object feature point image and the image Jacobian matrix is discussed in this paper. Some work is done in this paper: The estimation of the object feature point image under time delay is based on a proposed robust decorrelation Kalman filtering model, for the measurement vectors which cannot be obtained during time delay in the robust Kalman filtering model, a polynomial fitting method is proposed in which the selection of the polynomial includes the position, velocity and acceleration of the object feature point which impact the feature point trajectory, then the more accurate object feature point image can be obtained. From the estimated object feature point image under time delay, the more accurate image Jacobian matrix under time delay can be obtained. Simulation and experimental results verify the feasibility and superiority of this paper method.
Malaria Infection Effect to Haemoglobin and Haematocrit in Pregnant Mus Musculus

Malaria is a disease that is caused by Plasmodium Sp. And infected by Anopheles mosquitos. Kalimantanis one of endemic places for malaria. Prevalence of malaria is 2-76% depent to the places.Effect ofmalaria to pregnant women can be anemia, renal failure, cerebral oedema and death. Prevamence ofanemia because of malaria in pregnant women is about 3-15%. This research was done by using animalmodel to show malaria in pregnant. Goal of this research was to analyze malaria infection effect tohaemoglobin and haematocrit in pregnant Mus musculus. Research design was experimental usingposttest only with control group design. It consisted of K0 for control (20 samples) and K1 for infectedgroup (19 samples).Pregnant Mus musculus was injected P. berghei to infect plasmodium using 0,2 mlinfected serum intraperioteal in the first day of pregnant. Mus musculus was terminated in 19th day ofpregnant and took cardial blood to examine Hb and Ht of pregnant Mus musculus.The result was Hblevel mean for K0= 12,69 gr/dl and K1=12,832 dr/dl. Mean of Ht for K0=38,070% and K1=38,495%.Statistical anayzes used U-Mann Whitney test, with p value for Hb level was 0,574 and Ht was 0,574.The conclusion was malaria infection could not effect yet to Hb dan Ht level in pregnant Mus musculus.
HUMAN MOBILITY DURING THE COVID-19 PANDEMIC IN WESTERN BALKAN COUNTRIES

At the end of 2019, a new coronavirus appeared in the Chinese province of Wuhan, causing the appearance of the disease COVID-19. The disease spread very quickly to other countries in the world, including the Balkans. The governments of many countries have decided to combat the spread of the COVID-19 virus in the community through social distancing measures. Decisions to ban the movement of people were easy to make, but they were very difficult to implement and enforce in practice. Some of the countries monitored their citizens through various applications installed on smartphones. This led to criticism by many NGOs, as they felt that this violated basic human rights of freedom of movement and privacy. Some lawsuits were even filed in the courts because the citizens felt that they were denied rights guaranteed by the respective constitution. Google uses the ability to monitor all those citizens around the world on a daily basis who use smartphones or handheld devices, which provide the option to record the "location history" of the users. This is possible for them, since most people have voluntarily agreed to this option on their devices. In early 2020, Google began publishing global mobility data on a daily basis through a report called “Community Mobility Reports”. The report shows the percentage change in human activity at six grouped locations. Data obtained in the reference days before the outbreak of the COVID-19 pandemic are used as a basis for comparison. In this paper, we studied the dynamics of human mobility during the COVID-19 pandemic in 7 countries of the Balkans: Bosnia and Herzegovina, Serbia, Croatia, North Macedonia, Bulgaria, Greece, and Romania. For Montenegro and Albania Google did not provide data on human mobility. We present the processed data graphically. For all examined countries, we statistically analyzed the obtained data and presented them in a table.