Reviewerly/exHarmony huggingface dataset:
Analysis of Smoke Distribution in the Nusa Tenggara Islands Due to Forest and Land Fires

This study analyzes the distribution of smoke in the Nusa Tenggara Islands due to forest and land fires. This study uses secondary data in September 2020, such as satellite image data and meteorological condition data, because in 2020, the Nusa Tenggara Islands have the largest forest fires, NTT reaches 114,719.00 Ha, and NTB reaches 29,157.00 Ha. In this study, to detect smoke caused by forest and land fires, the Himawari-8 satellite and the Terra Aqua satellite will produce images to detect smoke. The image data will be processed using Satellite Animation and Interactive Diagnosis (SATAID) software for the Himawari-8 satellite and Hypersectral Data Viewer for Development of Research Applications (HYDRA) for the Terra Aqua satellite. The image results from the satellite will detect and show the distribution of smoke with the red, green, blue (RGB) technique, where the RGB technique will provide color contrast to the image object to be detected. Then the image results analyzed, and linked to the meteorological conditions that occurred during forest and land fires in the Nusa Tenggara Islands in September 2020.
Self-Supervised Learning for Place Representation Generalization across Appearance Changes

Visual place recognition is a key to unlocking spatial navigation for animals, humans and robots. While state-of-the-art approaches are trained in a supervised manner and therefore hardly capture the information needed for generalizing to unusual conditions, we argue that self-supervised learning may help abstracting the place representation so that it can be foreseen, irrespective of the conditions. More precisely, in this paper, we investigate learning features that are robust to appearance modifications while sensitive to geometric transformations in a self-supervised manner. This dual-purpose training is made possible by combining the two self-supervision main paradigms, \textit{i.e.} contrastive and predictive learning. Our results on standard benchmarks reveal that jointly learning such appearance-robust and geometry-sensitive image descriptors leads to competitive visual place recognition results across adverse seasonal and illumination conditions, without requiring any human-annotated labels.
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks

A classic inferential statistical problem is the goodness-of-fit (GOF) test. Such a test can be challenging when the hypothesized parametric model has an intractable likelihood and its distributional form is not available. Bayesian methods for GOF can be appealing due to their ability to incorporate expert knowledge through prior distributions. However, standard Bayesian methods for this test often require strong distributional assumptions on the data and their relevant parameters. To address this issue, we propose a semi-Bayesian nonparametric (semi-BNP) procedure in the context of the maximum mean discrepancy (MMD) measure that can be applied to the GOF test. Our method introduces a novel Bayesian estimator for the MMD, enabling the development of a measure-based hypothesis test for intractable models. Through extensive experiments, we demonstrate that our proposed test outperforms frequentist MMD-based methods by achieving a lower false rejection and acceptance rate of the null hypothesis. Furthermore, we showcase the versatility of our approach by embedding the proposed estimator within a generative adversarial network (GAN) framework. It facilitates a robust BNP learning approach as another significant application of our method. With our BNP procedure, this new GAN approach can enhance sample diversity and improve inferential accuracy compared to traditional techniques.
Ranking Threats to Determine the Cost of Protecting Information in a Cybersecurity Environment

The main purpose of the study is to rank certain threats in order to establish further costs for ensuring the protecting of information in the cybersecurity system.Research methodology is a set of methods that form a methodological approach.The main ones are the ranking method through the theory of fuzzy relations and the expert-step method.As a result, due to the ranking of the threats of the selected object, the permissible intensity of the decrease in the level of security and the costs of its provision were determined using the proposed methodology.The results obtained implied the use of modern ranking methods according to the given parameters.In our case, the results obtained allowed us to rank the existing list of threats in the cybersecurity system.The benefit of such results lies in the formation of an information basis for the adoption and implementation of management decisions.The study is limited by selecting only one socio-economic system and its information.The results obtained out in the article have practical and scientific value through a methodical approach to form requirements for the security of the cybersecurity system itself and information of a single object.In the future, more complex socio-economic systems and their cybersecurity should be chosen to apply the methodological approach proposed in the article.
Developing A Hands-Free Human-Computer Interface That Senses Tooth/Jaw-Movements With Headphones

People with motor disabilities such as amputated limbs are often incapable of using computers traditionally. Instead, they rely on other ways of computer use relying on sense facial movements by sending the signals from the sensor to an interface, and finally translating the signals into computer commands. The goal of this research is to create a hands-free Human Computer Interface (HCI) that detects sounds near the ears from teeth and jaw movements (e.g., clicking or grinding), and translates it into computer commands. Our research aims to make computers accessible to a wider range of people, as it does not require one to use their hands. The novelty of the proposed HCI is how it gathers input, which it does by receiving signals strictly from headphones, making it inexpensive and user-friendly. Our goal is to create a proof-of principle setup to show the feasibility of this HCI. To achieve this, a pair of headphones were wired to an m-audio amplifier, and the sound settings on the computer were set so that both the speaker/microphone were using the m-audio amplifier. A script written with Octave software plotted the recorded signals from the amplifier (recorded with headphones). While the script was running, facial movements, such as a tooth click, or jaw opening performed by the user generated audio signals that were recorded by the computer. The script then mapped the frequency distribution of the recorded waves. Our work so far shows that headphones can indeed gather inputs of different facial movements.
<i>IEEE Intelligent Transportation Systems Magazine</i> Is Firmly on Its Trajectory and Smoothly Sailing Ahead [Editor’s Column]

One of the most treasured gifts we can bestow to someone is the gift of our knowledge and our dedication to share it with young fellows, peers, and the Society at large. The gift of our knowledge is a selfless act, one that is given without expectation of reciprocation and is given for the betterment and growth of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Intelligent Transportation Systems Magazine’s</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ITSM’s</i> ) readership, the IEEE Intelligent Transportation Systems Society (ITSS), and the technical disciplines it addresses. We share our knowledge by way of researching into unknown phenomena, by writing papers and reports on the findings we have achieved through research and/or professional practice, by undertaking projects on challenging issues, and by reviewing the quality of each other’s work. We meet at ITSS conferences to share our wisdom, discuss our findings, and explore synergies among them. Our dedication to knowledge sharing is <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ITSM</i> ’s primary existential pillar. All of us together, manuscript authors, reviewers, editors, and readers, are the source of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ITSM</i> ’s strength.
Upaya Peningkatan Minat Baca Murid SD 112318 Sipare-pare Tengah

Efforts to increase children's interest in reading are a shared responsibility, between librarians, teachers, parents, and the community are directly responsible for developing interest in reading. To develop interest in reading, children need to be given stimuli that encourage interest in reading students themselves. Efforts to encourage students to read as many books as possible are not effective. Forcing children to buy books is also unethical. One of the activities carried out to develop and increase interest in reading for each student is the provision of subsidized textbooks. This book is a reference for students and teachers in schools where textbooks and the learning process always try to complement the reading. Books that stimulate children's interest in reading. Increasing interest and interest in reading, especially among students, requires effective library management. The purpose of this research is to increase students' reading interest which is still very low. The location of this survey is SD Negeri 112318, Merbau Regency, Sipare-Pare Tengah. and has a learning theme for grades 3 and 5.&#x0D; Keywords: Reading Interest, Librarian, Library
Rethinking Ordinal Variable Identification in Weighted Least Squares Structural Equation Modeling

Weighted least squares (WLS) estimation has tremendous utility for structural equation models (SEMs) that include ordered categorical data. However, some common statistical programs for fitting these models lack full flexibility in specification. Moreover, the popular approach toward model identification of ordinal variables arbitrarily constrains researchers and limits their ability to construct theories involving ordinal data. We develop a novel approach for identifying SEMs with ordered categorical variables that allows a wider variety of model specifications and theories, furthermore implementing this approach in OpenMx. We review WLS and ordinal variables both in general and as implemented in common software programs. Then we discuss the novel approach taken by the OpenMx implementation and derive analytic criteria for ordinal data identification. We conclude by posing new research questions that may now be addressed.
Detecting Cloud Based Phishing Attacks Using Stacking Ensemble Machine Learning Technique

Abstract: Cloud computing enables users to access computing services over the Internet, but this also presents a security risk due to the anonymous nature of the Internet. Social engineering attacks are one of the most common security breaches in cloud computing, where attackers trick cloud users to reveal sensitive information. Detecting phishing attacks in cloud computing is challenging, and various solutions have been proposed, including rule-based and anomaly-based detection methods. Machine learning techniques have proven to be effective in detecting and classifying phishing attacks, particularly for distinguishing between legitimate and phishing websites. This paper proposes an ensemble approach utilizing four different machine learning classifiers to detect phishing websites. The study analyzes various features, such as address bar-based, domain-based, and HTML &amp; JavaScript-based features, and the findings reveal that the proposed ensemble approach outperforms the base classifiers, achieving the highest accuracy of 98.8%.
Composer Snejana Pislari: the steps of forming a creative personality

The article examines the personality and creative activity of the composer Snejana Pislari, reveals her contribution in the field of national composition, her activity in the pedagogical, publishing and social fields, and discloses the process of formation of her artistic and aesthetic principles that was finalized under the influence of established teachers – Loghin Turcanu, Vladimir Bitkin, Constantin Rusnac and Pavel Rivilis. The full list of Snejana Pîslari’s published works is presented. The composer’s genre, style and timbral priorities are highlighted. In conclusion, the stylistic paradigms of her creation – the tendency towards minimalism, repetitive technique and neofolklorism – are exposed.
[Research note] Semantic Systems Theory

A new form of systems theory is proposed. It refers to meaningful and meaning-generating systems, based on identifiable systematised and orchestrated interactions.
The Effect of Instagram Influencer Ads on Female Students’ Purchasing Behavior at Jordanian Universities

The study aimed to identify the impact of Instagram influencers' ads on purchasing behavior of Jordanian university students, an electronic questionnaire was distributed to an equal quota sample of 450 female students at at Yarmouk University, the University of Jordan, and Mutah University. The study found that the largest percentage of respondents (40%) follow the pages of influencers for an hour to less than two hours, and that most products advertised through influencers via Instagram are interested in clothes, and the most prominent elements of attention included in influencers' ads were natural and realistic images of the product. The most interesting elements of influencers' ads were the logic and accuracy of the information in proportions and figures about the advertised product, while the most prominent influential elements in creating a desire for the respondents were: Clarifying the price of the product in the advertisement, and the percentage of respondents who buy the advertised products (43.8%), and the lack of confidence in the products advertised by influencers is one of the most prominent reasons for not buying for them.
Facebook's Role in Spreading Electronic Harassment in Jordan

The study aimed to identify the degree of exposure of students in the Faculty of Mass Communication at Zarqa University to Facebook and its role in the spread of the phenomenon of electronic harassment. This study is classified as descriptive research, and the study relied on the media audience survey method. A questionnaire was used as a data collection tool to achieve the objectives of the study. The students of the Faculty of Mass Communication at the University of Zarqa, Jordan, are exposed to Facebook to a high degree, with an arithmetic average of 2.42, and the study showed that women are one of the most prominent groups exposed to harassment through Facebook from the point of view of the study sample, with an average of 3.76. The study revealed that the most prominent form of harassment is (threat and blackmail), which came in first place with an arithmetic average of 4.44, and the study showed that the most prominent goal of harassment is (sexual desires), where the arithmetic average of it reached 432.
Implementation of Question and Answer Method in Teaching Speaking Skill at Eight Grade of UPTD SMP Negeri 9 Pematang Siantar

The research purpose is to find out the usage of implementation of Question and Answer method in teaching speaking skill to students. The population of the research is students of SMP Negeri 9 Pematang Siantar, with sample of a class consists of 31 students. This research applies quantitative method to collect data for the research. Researchers give oral test to the students and make their scores, then calculate the mean to create conclusion of this research. Based on research results, researchers found that 19 students were able to achieve the score of 65 and beyond, while 12 students were unable to achieve the minimum score (below 65). Therefore, 61% of students have sufficient speaking skills, meanwhile 39% students have weak speaking skills. Question and Answer method is a suitable method that can be utilized by the teachers in teaching English skills to students, especially to teach speaking skill.
Snowball Throwing Learning Model in Growing Questioning Skills of Elementary School Students: A Review

Asking activity is one of the efforts made to obtain additional information to build knowledge. Asking activities encourage students to think critically about the learning material being studied. So it is necessary to build students' questioning skills through the learning model applied by the teacher. The focus of this research is to describe the application of the snowball throwing learning model in fostering students' questioning skills in elementary schools. The approach used in this research study is a descriptive qualitative approach with literature studies. In this research study, the authors formulated the problem and continued by tracing existing and relevant research results for analysis. Data collection techniques by browsing electronic journals through Google Scholar and books related to learning. From the results of a study of several previous research results, it shows that the snowball throwing learning model can foster students' questioning skills combined with the game of throwing snowballs. Even with the snowball throwing learning model, students studying in groups do not only ask questions but encourage students to provide answers and explanations of the material. So that it makes students more critical in thinking. The results of this research study are expected to be a stimulus for teachers to facilitate student learning so that they are skilled in asking questions. So that the process of communication in learning in the classroom becomes more active.
Use of YouTube in Improving Listening Skill of 9th Grade Students of SMP N 2 Labuhan Batu Utara

This research aims to discover the use of YouTube to improve students’ listening skills. The researcher chose the qualitative method of collecting data, consisting of observation and interviews. Researchers chose SMP N 2 Labuhan Batu Utara as the location to do research with as many as 32 students as participants to collect research data. Based on research findings on observation and interviews, researchers discovered that both students and teachers got benefits by using YouTube in learning English, especially listening skills. According to the observation results, most students enjoyed the learning process. Then according to the interview results, students were more interested in following the learning process, whereas, for the teacher, YouTube was a great medium to help her teach the students. Thus, YouTube is a suitable media that can be used to teach listening to students.
Quantum Machine Learning: A Review

Abstract: Quantum machine learning is an emerging field that aims to leverage the unique properties of quantum computing to accelerate machine learning tasks. In this paper, we review recent advances in quantum machine learning and discuss the potential applications and challenges associated with this technology. Specifically, we examine the current state of quantum machine learning algorithms, including variational quantum algorithms, quantum neural networks, and quantum generative models. We also discuss the challenges associated with practical quantum computing resources, algorithm design, and interdisciplinary collaboration. Furthermore, we highlight the potential applications of quantum machine learning in areas such as drug discovery, speech and image recognition, financial modeling, and many others. We also examine the ethical and societal implications of this technology, including the potential impact on privacy and security. Finally, we discuss future prospects for quantum machine learning, including the potential for quantum-inspired classical algorithms and the development of error correction techniques. We conclude by emphasizing the importance of interdisciplinary collaboration in the continued advancement of this field.
An Analysis of Teachers’ Grammatical Errors in Composing Summative Assessment

English is a challenging topic for Indonesian students since the English language is so different from the Indonesian language and one of the topics in English is grammar. However, sometimes language learners make grammatical errors and teachers are not an exception. This research focuses on the categories of grammatical errors found in the summative assessment composed by the MGMP teachers in Boalemo and their perceptions regarding the said error. This study employed descriptive qualitative method and utilized document and interview to collect the data. The techniques of data analysis are document and thematic analysis. After conducting this research, it is found that the most committed error by the participant is the error of omission, specifically omission of parts of speech and this error is caused mainly by the lack of quality control among the MGMP teachers. This research is intended to develop the study of teaching, specifically improving grammatical comprehension.
Music and Game Activity of Elementary School Students as an Aspect of Neuropedagogy

The research presented in the article testifies to the effectiveness of computer modeling in the conditions of musical and game activities of elementary school students. The relevance of the research is determined by the intensive development of innovative digital technologies that influence the development of society, form new approaches to the world, and contribute to the effective acquisition of new knowledge and skills as a neuropedagogical aspect. The purpose of the research is to study the effectiveness of the organization of musical and game activities as an aspect of younger schoolchildren by means of computer simulation. To increase the effectiveness of research, it is necessary to analyze aspects of neuropedagogy. In order to better "know" his student and decide on the choice of work methods in the future, it is advisable for the music teacher to evaluate not only his physical data and temperament, but also to find out by testing his general functional features organizations the brain and the leading modality. Accordingly, the main approaches to the organization of music and game activity were analyzed and the effectiveness of computer modeling in the context of the formation of music and game abilities and skills in younger schoolchildren was determined. The research methodology is formed by analytical and research methods, analysis of musical and game activities, methods of synthesis, analysis and interpretation, computer modeling technologies are used. The results of the study show that computer simulation is the most effective in the modern educational process.
DEVELOPMENT OF POWERPOINT INTERACTIVE LEARNING MEDIA IN PACKAGE C PROGRAM IN SKB CITY OF PALEMBANG

In a teaching and learning process, learning media is one of the most crucial elements, because it can be applied to the material that will be delivered to students, both in the form of tools and teaching materials. One of the learning media that can increase the interest and interest of students is by using Powerpoint media which is packaged interactively. The purpose of this study was to develop interactive Powerpoint media with a valid application to the Package C program at SKB Palembang City. This type of research is development research with six stages consisting of collecting initial data , development product , expert validation , revision product , test try product analysis _ data . The research subjects consisted of one tutor and ten learning residents, and went through three stages of validation by three experts, namely linguists, materials experts, and media experts. The method of collection used questionnaires and interviews. The results of this data analysis show that this interactive Powerpoint learning media can be tested on the Palembang City SKB . small group trial with a total score of 371 with a percentage of 84.31%. This shows that the interactive Powerpoint learning media is feasible to be applied to learning in the SPNF SKB Palembang City, especially in the equality program.