Reviewerly/exHarmony huggingface dataset:
Study of heat Energy Disposal in Hollow Roof Cooling Water Tank

Cooling tank is defined as a heat exchanger whose working fluid material is water, and air which functions to cool water by direct contact with air which causes a small portion of the water to evaporate. This water will flow in the hollow roof which is expected to absorb heat as it passes through the cavity. This study aims to obtain the value of the effectiveness of the heat transfer rate on the hollow roof, as well as to determine the amount of energy in the cooling water tank of the hollow roof that can be discharged every hour and to determine the water flow required to supply the hollow roof. During the study, the results obtained varied with the volume of water entering about 0.00064 m³ in each cavity, with a pump capacity of 5.5 LPM. From the test data obtained, if the intensity of sunlight is low, the heat will be absorbed by the environment and vice versa if the intensity of sunlight is high, the heat will be absorbed by the water. That is why the intensity of sunlight greatly affects the data collection process. From the results obtained in the field at the time of the study for 7 days, the average water temperature was 28.4ºC. This result can be categorized as safe because the water temperature does not exceed or is not far from the temperature in the water tank with an average temperature of 40.5ºC.&#x0D;
Application of Signal Classifiers in Auditory Evoked Potentials for the Detection of Pathological Patients

The auditory brainstem response (ABR) by evoked potentials is a widespread auditory pathway assessment technique. This is largely applied due to its cost-effectiveness, practicality and ease of use. In contrast, it requires a trained professional to carry out the analysis of the results. This motivates several research efforts to increase the independence of the diagnostician. To this end, the present work shows the ability of three signal classification tools to differentiate ABR studies of normal hearing subjects from those who may have some pathology. As a starting point, the PhysioNet short term auditory evoked potentials databases are used to calculate the features later applied to construct the dataset. The features used are diverse classes of permutation entropy, fractal dimension, the Lyapunov exponent and the zero crossing rate. To ensure more accurate results, a Montecarlo simulation of one thousand trials is employed to train the classifiers and test the results. The goodness of the classification is performed upon the basis of the computation of quality parameters, such as the area under the receiver operating characteristic curve (ROC), the F1 score coefficient and the accuracy. In all the cases the methodology proposed gives high performance results that encourage the line of research of the present work.
Management of Educational Infrastructure Facilities at Madrasah Aliyah Negeri 1 Jember

This article discusses the implementation of educational facilities and infrastructure management. Educational facilities and infrastructure are one of the important components in determining the quality that exists in an agency, especially in the learning process that will take place in educational institutions. In this case the data is obtained by means of interviews, observation and documentation. All data will later be analyzed descriptively, namely by pouring the results into sentences arranged in such a way that they can become neatly arranged sentences. The results of the research conducted show some conclusions obtained, namely, (1) the process of planning educational facilities and infrastructure implemented in Madrasah Aliyah Negeri 1 Jember as a whole is in accordance with the applicable rules related to planning educational facilities and infrastructure (2) the process of implementing educational facilities and infrastructure implemented in Madrasah Aliyah Negeri 1 Jember starts from the procurement of educational facilities and infrastructure distribution or distribution of educational facilities and infrastructure, (3) the process of evaluating educational facilities and infrastructure at Madrasah Aliyah Negeri 1 Jember is carried out twice a year at the end of each semester both internally and internally, and the process is also in accordance with applicable regulations related to the evaluation of educational facilities and infrastructure.
The Correlation between Content Schemata, Linguistic Schemata and Reading Comprehension of Foreign Language Learners

Reading is a complicated process that involves the reader's engagement with the text to develop meaning. Language proficiency is regarded to be more significant and to contribute more to reading comprehension in reading a second language or a foreign language than other aspects. This study is aimed at to measure which of the content schemata and linguistic schemata contributes the most to reading comprehension. The study was carried out in a sample of 35 English students of the first semester at Foreign Language Class in Al-Qolam Islamic Institute Gondanglegi Malang. The data collection involved two instruments, namely self-assessment, linguistic test and reading comprehension test. To achieve the purpose of the present study, the data were analyzed by using simple correlation with the help of SPSS 16. The result of the computation of simple correlation showed that linguistic schemata contribute more to reading comprehension. The effect analysis of the combined predictors and reading comprehension indicating significance at .000. Simple regression correlation calculations required a significance level of less than 0.05. In other words, there was a correlation between content schemata, linguistic schemata and reading comprehension. EFL teaching professionals and other scholars who intend to study relevant subjects in future research are addressed in suggestions made based on the results.
Use of Slip Board Media in Increasing Vocabulary Ability

The purpose of this study is to determine the Implementation of Slot Board Media in improving the Vocabulary of Grade 1 Students of SD Plus Al-Qodiri Jember 2020-2021 Study Year. The research method used in this research is PTK (classroom action research), which is action research conducted in the classroom with the aim of improving / improving the quality of learning things. The conclusion of the classroom action research that has been carried out is that the research is carried out continuously until the student's score rises above the KKM (70), and the research stops at 2 cycles of the second meeting because the percentage of completeness of grade 1 SD Plus Al-Qodiri students is 86%, so using this slot board media can improve mastery of Indonesian vocabulary in grade I SD Plus Al-Qodiri students. The increase in vocabulary mastery can be seen from the achievement of 86% of the number of students scoring above the KKM 70. The average value of overall learning outcomes both pre-cycle of action and after action can be detailed, namely in the pre-cycle the average value of students 62 with a percentage of completeness of 26.67. And in the second meeting of cycle II, the average student score was 81 with a completion percentage of 86%.
The Use of Snakes and Ladder Media in Developing Students' Cognitive Development

Media is a tool used in teaching and learning activities. With this media, it will make it easier for teachers to convey learning material to students. So that with this media, students' cognitive development will be more well honed. One of the media used is snakes and ladders, which is used in delivering addition and subtraction material in grade 1. The method used is using a qualitative approach with the type of research is a case study with data collection techniques using observation and interviews. The research subject is grade 1 MI Miftahul Huda. And data validity using source triangulation and technical triangulation. The result of his research is the use of snakes and ladders game media on addition and subtraction material gives positive things, namely student cognitive development in grade 1 students of MI Miftahul Huda.
A Novel Out-of-Distribution Detector based on Autoencoder and Binary Classifier with Auxiliary Input

At industrial production levels, anomaly detection is crucial to maintaining adequate levels of safety standards and quality assurance in products. Numerous previous research focuses on detecting the anomaly samples yet their methods cannot filter the unexpected outliers that have completely different image features. In this research, we propose a novel out-of-distribution detector based on an autoencoder and binary classifier with auxiliary input. Given the input image, the autoencoder produces the latent variable and reconstructed image. The difference image is generated and fed to the binary classifier to classify whether the input image is an outlier or a normal sample. The latent variable which contains useful feature-level information is fed to the intermediate layer of the classifier to produce the precise classification results. We also propose noise-addition augmentation to make the trained model consistently perform against various kinds of noise-containing images which are often found in real-world scenarios in industrial environments. The proposed method achieves AUC of 0.9718 and 0.5908 in the MNIST and CIFAR10 datasets, respectively. Through these experiments, we have shown that the proposed method outperforms the previous state-of-the-art methods.
Building Better High School Clubs with Blockchains

School clubs continue to be a popular extracurricular activity, especially in high schools. The number of new clubs and their membership has exploded in recent years. Many students participate in clubs over their four years of high school to explore interests, develop skills, engage with peers, and serve their community. The wide spectrum of member talent in a club, however, presents a challenge for the club leadership. In keeping with their mission statement, club leadership must continually train their teams to drive progress season after season. Leadership must collect, analyze and share vast amounts of member data. In this paper, we will examine a new data-sharing model a school club can use to manage its most important asset, its members. Our inspiration comes from commercial enterprises that deploy blockchain networks to manage assets through their supply chains. We will first explore the importance of member management for a club’s success, before delving into the structure of a blockchain network and how its properties are well-suited for a club’s data management. We will then create our own blockchain network, using open-source software from the Linux Foundation, before finally creating a prototype model that can be used by a school club.
CAPTCHAs in reality: What might happen if they are easily broken?

This research paper explains the potential impact when CAPTCHAs become easy for attackers to solve. A literature review has been done on the different types of CAPTCHAs as well as the different methods present to break the CAPTCHAs. But data regarding the effect that CAPTCHAs have had when they have been attacked and broken is scarce. CAPTCHAs are deployed mainly to secure sites or apps but there are particular disadvantages which make them not only less beneficial to the owners of the sites or apps but also to the humans who need to solve them. These disadvantages are also in the form of vulnerabilities which prove beneficial to the attackers who can easily make use of the vulnerabilities to break the CAPTCHAs. It has been found that the impact of these attacks, in reality, has not been mentioned in previous studies. The impact prompts for advanced CAPTCHAs which solve the problems with the CAPTCHAs we have today.
NFTs: License to Own?

In recent years, NFTs have burst onto the global scene, quickly going from an internet meme to a multi-billion dollar digital industry. These digital assets have everyone talking, but nobody seems to know what they are or whether you actually own anything when you buy one. This article uses extensive philosophical, legal, copyright, and empirical research to explore what is actually being purchased with an NFT. With everything from the morale words of John Locke to warnings from the district office of Manhattan, this article quantifies what NFT ownership entails, which is, essentially, nothing. Although governments acknowledge the possibility of legitimate ownership for NFTs, the lack of regulations and protections, as well as the unclear copyright laws and shady ownership claims make NFTs, for our current legal system at least, essentially worthless.
How How to Use Graph Theory Benefiting the Neighborhoods Environment

Graph Theory is a popular field with wide applications. It also has the reputation of being the type of math that is more up-to-date with modern times. However, a quick search of the math curriculum at the secondary level will show a striking absence. This paper hopes to reverse the trend and bring to light both a way to introduce graph theory and also to show the application to the real world all in one unified story. Within this article, the reader will move from little to no knowledge toward a fundamental understanding of one component of graph theory. The reader will also be able to walk away with the ability to analyze efficient routes in real-world networks. This work is a crafted message, a student-to-student message, on building intuition for theories and then using them directly. This article is primarily an argument for the importance of engaging with graph theory early in mathematics study. It argues that graph theory is more than a fashionable buzzword. It is the methodical study of interconnection, and it applies to most of the biggest critical global problems we face today: Environmental Protection, Nuclear Safety, Global Food Supply, and Artificial Intelligence Control. In the end, this article may focus on building one application, resource conservation, and logistic optimization, though the reach will be much further. The tools of graph theory are easily adapted to any problem involving systems and their related parts.
Designers Know the Human Brain

Huge amounts of information are increasingly being created and shared from various platforms with georeference playing a popular role. New and effective ways to manage and understand information are needed in order to deal with this growing complexity. Graphic and interface design can help. With roots in research on visual perception, the role of visualization is to ease the understanding and managing of complex information. In later work, we presented and applied a set of graphic and interface design fundamentals as hints to the representation of spatiotemporal information. We now support them on perception and cognition through the way the mind works.
Using Virtual Machine Size Recommendation Algorithms to Reduce Cloud Cost

Cloud spending has risen on a year-to-year basis, with the pandemic acting as the primary catalyst for its recent growth; however, “cloud waste,” referring to cloud resources that are not used to their full capacity, also follows this upward trend and causes the loss of an increasingly large amount of money. Unfortunately, present-day cloud research lacks data-driven studies that analyze why cloud users are wasting resources, or suggestions to users on how to lessen such waste. In order to prevent this over-expenditure, it is vital to choose the best-suited options when it comes to virtual machines (VM), especially for small to mid-sized businesses with limited funds and a lack of expertise. In this paper, we first analyzed the 235 GB Azure user dataset from the users’ perspective. We then implemented machine learning to determine our pricing model and the VM costs. With these statistics, we then delineated our methodology to calculate the wasted cost of each VM, and using this data, we propose an algorithm that can identify potential candidates with wasteful VMs and assist users in reducing costs. By applying our algorithm to approximately 2.7 million VMs, we demonstrate that it has the ability to help 66,721 VMs created by 1,520 users lower their monthly costs by $14.9 million. We conclude that businesses, while still reaping the benefits of cloud services, can do so at a much lighter cost and save on their VMs.
Introduction to the Special Section on Reliability, Safety, and Security of Railway Systems

Securing a safety-critical system is a challenging task, because safety requirements have to be considered alongside security controls. We report on our experience to develop a security architecture for railway signalling systems starting from the bare ...
Algebraic and Geometric Analysis of Ordinary and Orthogonal Distance Least Squares Solutions to an Overdetermined Linear System

In this paper, we make an in-depth analysis on the ordinary least-squares solution and the orthogonal distance least-squares solution to an overdetermined linear system, having the number n of constraints greater than the number m of unknowns. Using the barycentric coordinate, algebraic and geometric analysis is made for the case of n=2 and m=3, yielding a constraint triangle, and for the case of n=3 and m=4, yielding a constraint tetrahedron. First, for an n-dimensional overdetermined system, the ordinary least squares solution that minimizes the sum of the squares of m residuals and the orthogonal distance least squares solution that minimizes the sum of the squares of m orthogonal distances are formulated. Next, for the cases of n=2 and m=3, and n=3 and m=4, the following analysis is made: The relationship between the ordinary least-squares solution and the centroid of the constraint triangle/tetrahedron is identified, the changing pattern of the ordinary least-squares solution due to the scaling of an overdetermined system is examined, and the relationship between the orthogonal distance least squares solution and the symmedian point of the constraint triangle/tetrahedron is identified. Finally, to demonstrate the applicability of the ordinary least-squares and the orthogonal distance least-squares solutions, the velocity estimation of a mobile robot using a polygonal array of optical mice is provided.
CULTURAL NEEDS AS A GUIDELINE FOR THE DEVELOPMENT OF PERSONAL MOTIVATION AND NEED IN CHILDHOOD

The paper deals with the current issue of developing cultural needs of the younger generation in connection with education and mental health. The authors provide a definition of cultural needs and their characteristics from the standpoint of cultural and historical psychology. The necessity of developing cultural needs and their characteristics -awareness, meaningfulness (reasonableness), creativity, mediation, arbitrariness (controllability) - in the context of the upbringing and mental health of children and youth is substantiated through analysis.
Research on the future school development path based on artificial intelligence

In the field of education, the all-encompassing penetration of artificial intelligence has made new possibilities for the future school. This study analyzed the concept of the future school at first. Secondly, this study pointed out that the future education under artificial intelligence had three characteristics: the combination of virtual and real schools; the integration of human-computer environments; Learner-directed learning. Finally, this study pointed to strategies for government, school, and student improvement that were necessary to achieve effective integration of artificial intelligence with future school.
Exploration of cultivation of French audiovisual skills in the context of "Internet+"

In 2022, affected by the new pneumonia epidemic, universities across the country still carry out online teaching or dual-line hybrid teaching mode, which poses a new challenge to university students, and the "listening" ability of university students majoring in French is generally lower than the "reading" and "writing" ability. This has posed new challenges to university students, and for the phenomenon that students' "listening" skills are generally lower than their "reading" and "writing" skills, it is imperative that we use the "Internet+" to turn the disadvantage into an advantage in order to improve our French audio-visual skills.
AMR Collision Avoidance Technique Using Heat Kernel and Costmap for Dynamic Obstacle Environment

At the logistics site, interest and demand for AMR(Autonomous Mobile Robot) is increasing. A representative function required in this situation is obstacle avoidance. In particular, research on avoiding difficult or dynamic obstacles is more important. Research on this is continuously being conducted, but there is a lack of research on the case where multiple AMRs mutually avoid each other. In this study, we create a navigation costmap layer using heat kernel and propose an obstacle avoidance method based on it. The proposed method makes it difficult to approach the obstacle by adding a cost equal to the heat by applying Heat Kernel operation around it after detecting the obstacle. Since the resultant value of Heat Kernel increases rapidly as it approaches an obstacle, AMR can safely avoid obstacles or mutual avoidance.
Extension Education, Educational Film and Film Education - A Study of the Settlement Movement and Columbia University in the Progressive Era

This study examines the settlement movement as the historical origin of the combination of three items: educational films, film education, and Americanization. The subjects of the study are Toynbee Hall, the Educational Alliance, the People’s Institute, and Columbia University. The influence of the settlement movement on education and educational films was enormous. Public schools became not only a place to impart knowledge to students but also community centers that provided essential activities for the welfare of community members, with the subject of education expanded by making it available to adults as well. Also promoted was the establishment of a college of education. Facilities such as kindergartens, playgrounds, libraries, museums, art galleries, gymnasiums, and public baths were installed, and free meals, school sanitation and health considerations, and clubs for leisure activities were institutionally established within public education. Along with the visual education movement, schools have become places that provide opportunities to experience various visual forms of media, including movies. The National Board of Censorship, established in collaboration with social service workers and the film industry, reversed the negativity of the social cognition of cinema. The theater environment was improved, the American film style was formed, and the production of culturally uplifting films was promoted. In terms of production and viewing, specialized film education programs have emerged, and films have become an art that must be taught systematically and professionally, becoming cultural artifacts that can be viewed repeatedly and discussed with others, like classical literature. In the progressive era, the complex of the settlement movement, universities, and the film industry made schools and film theaters effective means by which to resolve the issues of the Americanization of immigrants.