Reviewerly/exHarmony huggingface dataset:
Visualization Techniques for the Comparative Analysis of Multivariate Data of Fiber Reinforced Polymers

The comparative analysis of data from multiple candidate material systems is essential for the improvement and development of advanced composite materials. Since the characteristics (e.g., length, orientation) of individual objects (e.g., pores, fibers) are crucial for the properties and the behavior of materials, the exploration of these is of utmost importance. Currently, the comparison of these multivariate, numerical data requires significant mental efforts, since the experts have to perform a sequential comparison of many slightly different charts. This work aims to simplify the workflow for comparing many datasets by providing experts with an interactive visualization framework. By combining different representations at various levels of detail, it assists users to get a holistic view on the similarities of the objects and their characteristics. An overview visualization allows to determine the similarity of the objects of several samples, additional detail visualizations give the user detailed information about groups of similar structures. We demonstrate the applicability of our tool on two use cases, a fiber material subjected to an in situ test, and a comparative study of multiple pore datasets.
PENINGKATAN MEDIA PEMBELAJARAN INTERAKTIF PAUD DI KABUPATEN SERANG

The golden age of students where currently early childhood children are very easy to receive various information. At this time, some early childhood education in Baros Village still use conventional learning methods. this is the reason for the need for a paradigm shift that makes learning interesting and interactive. Interactive learning media training is carried out to equip teachers how to make interesting early childhood learning media so that they can quickly find out and understand what the teachers are teaching. The stages carried out The training stages consist of the stages of socialization, training, adjustment of needs, and testing of learning media. Based on the results of the Pretest for 10 questions including the question of country names, state symbols, national anthems and others, the results obtained were around 28 PAUD children answered incorrectly and did not understand the learning material being asked but after using the learning media that had been prepared by the Community Service Team and teachers, the results from the Post test showed significance to 100% with a total of 10 questions for 28 PAUD children with all correct answers
Supporting Engineering Areas

The engineering disciplines supporting, and supported by, simulation are in the scope of this chapter of the SCS M&S Body of Knowledge. The chapter provides descriptions for systems engineering, virtual and augmented reality engineering, and visualization engineering.
Formalization of experimental protocols for automated data processing and uncertainty estimation

This study aims to present the structure of research activities as a directed graph, connecting objects, properties, experimental conditions, actions, measurements and models, where individual experimental protocols and, for example, data harmonization schemes are its subgraphs. This gives a natural way for composition and decomposition of experimental protocols and allows to seamlessly increase level of detail for any protocol step. This representation also gives criteria of similarity between protocols. As a practical advantage for protocols, represented in such a way, it is possible to implement automated data processing with error propagation through a network of properties and generation of user interfaces for data input and validation. Data processing system based on this concept allows to relate and link different existing standards and a possibility to add any measured property. As a proof of concept, using examples from soil science experimental field, we created a prototype system, including tools for constructing and editing protocols, visualization of protocols collection as a graph, search engine for choosing the best path for estimating the property of interest with desired precision. The formalized protocols can be operated in a prototype ELN with automatically generated UI and automated data processing.
Leveraging digital and research-based teaching methodologies for international geohazards education – experience from the GEOMME partnership with Japan, South Korea, and Norway

The international partnership GEOMME seeks to develop collaborative activities in research and education on climate-induced geohazards in South Korea, Japan, and Norway. The partnership focuses on excellence in education and research to increase societal resilience against climate-induced geohazards. The objective of the GEOMME partnership is to increase the adaptive capacity of the partner nations to climate change through research-based education, knowledge exchange, and international collaboration. Activities centre on four scientific themes: (1) geohazards in a changing climate, (2) geohazards over large spatial scales, (3) advanced modelling and monitoring techniques, and (4) green solutions for hazard- and risk mitigation &amp;#8211; including Nature-Based Solutions.A novel aspect of the GEOMME partnership is the collective development of four education packages &amp;#8211; each focusing on one of the scientific themes. The target audience is graduate students, researchers and practitioners. Education packages consist of two components &amp;#8211; an online module and an in-person research- and experience-based course. The online modules are standalone introductions to the scientific themes and are openly accessible. The modules promote rapid accessibility to international perspectives in geohazards education and research, guiding interested parties towards an understanding of these complex topics. The modules will live on beyond the project period, hosted by GEOMME partners. Intensive research- and experience-based courses are implemented as a follow-up to the online modules and allow affiliated partners to further develop in-depth expertise in the topic areas. The content of the education packages reflects the state-of-the-art in research and current state-of-practice in applications within the domains of the three partner countries.This contribution will present the approach of combining digital and in-person research-based teaching methodologies for geosciences, and experiences and challenges from early-stage implementation.The GEOMME partnership is financed through INTPART program the Research Council of Norway (project number 322469). The INPART program seeks to promote long-term international partnerships to enhance the quality of higher education and research in Norway. The GEOMME partnership is running between 2021 and 2026.
What’s Real and What’s Fake : A Study on the use of Deep Fake Technology in Advertising

According to the research "World Advertising Market: Industry Trends, Share, Size, Growth, Potential and Forecast 2021-2026" by IMARC group, the global advertising industry is anticipated to reach US$ 875 billion by the year 2026, with a predicted CAGR of 5.2% between 2021-2026. The range of digital advertisements has expanded along with the use of mobile devices and the internet. With the rise of working women and tech-savvy, career-driven millennials, higher disposable incomes, and other changes in the 21st century, advertisers and marketers now have more target groups to choose from. Due to the size of the advertising market and the rise in the volume of commercials, it is getting more and more difficult to capture them.
Robotics: Techniques, Functions, Social Role Part 2. Current Capabilities of Robots

In order to assess the impact of robots on society, it is necessary to carefully analyze the state-of-the-art, and in particular the fundamental issues that have yet to be resolved, however having significant impact on the potential societal changes resulting from the development of robotics. The aforementioned impact depends on the level of intelligence of robots, so this aspect dominates in the presented analysis. The presentation has been divided into three parts: 1) analysis of technical factors affecting the intelligence and security of robots, 2) analysis of current capabilities of robots, 3) analysis of diverse predictions of how robotics will evolve, and thus the attitudes towards the influence of the result of this development on society. This part of the paper is devoted to the second of the above mentioned three issues.
Sistem Informasi Rekomendasi Penentuan Jurusan Sekolah Menengah Atas dengan Metode K-Means Clustering dan Algoritma Topsis Berbasis Multi User

Choosing a major for students is a positive step taken to focus students according to their potential, this is considered important as a department, students are expected to be able to develop academic abilities according to their field of expertise. In previous studies, majors in SMA are currently still done manually and have a tendency to look at students' academic scores only. If the student's score meets the KKM standard (Minimum Completeness Criteria) set by the school, it can be determined that the student will enter one of the existing majors. Meanwhile, to see student interest, students are usually asked to fill out a questionnaire manually. The manual method is less practical and takes a long time, prone to errors in examination and assessment so that errors can occur in determining the value. Mistakes in choosing a major will be detrimental to students, both in terms of cost and time.&#x0D; The decision support system for selecting majors in high school uses the K-Means Clustering and the Algoritma Topsis was built to help schools make it easier to determine major recommendations. The criteria used are students' academic scores and student interests.
Generative Adversarial and Dual Layered Deep Classification Techniques for Improving Block Constructions in Public Cloud

This paper provides the Generative Adversarial and Dual Layered Deep Classification techniques to improve the drawbacks in the methods of Absolute Moment BTC (AMBTC) technique in reconstruction error rate of standard BTC model. The image blocks generation and compression are the main phases of BTC model. This can be applied for both colour images and grey scale images. However, the conventional BTC procedures lacks for edge reconstructions and noise reductions in the output images. The first technique GABTC is developed with multi-layered Deep Neural Network (DNN) structures with GA neural models. The integration of both GA models and BTC principles improve the quality of block constructions and reconstructions significantly. The second proposed work is adopted the Dual layered Deep Classification Technique. Handling the image database with minimal storage complexity, minimal computational complexity and optimal quality is a significant task. To obtain these solutions, many image processing techniques are evolved. In the domain, image compression and decompression are more needed at any cost for effectively handling the complex image databases. E-Learning resources are widely used around the internet based knowledge sharing environments. In the E-Learning environment, multiple types of data resources are managed. Particularly, organizing the images is more crucial task where multiple qualities of images are appeared inside the E-Learning network databases. This problem expects solutions from effective image compression techniques. Block Truncation Coding (BTC) and Absolute Moment BTC (AMBTC) are the techniques provide useful and easy implementations of E-Learning based image compression platform. At the same time, they are limited to image dissimilarity rate. To maintain the quality of images in both compression and decompression phases, multilevel image analysis models and training phases are required. In this regard, this proposed system develops a Dual Layered Deep Classification and Truncation (DLDCT) technique. DLDCT comprises the baseline benefits of BTC, multi-layered Support Vector Machine (SVM) units and Deep Layered Convolutional Neural Network (DLCNN) for producing classified range of image pixels and compressing the images under controlled circumstances. This proposed DLDCT makes the image compression and decompression with determined observations. This reduces real time errors occur during image reconstruction phases. This proposed system has been implemented and compared with existing works with respect to significant performance parameters.
Guided Interactive Visualization for Detecting Cyclical Patterns in Time Series

Different analytical methods can be applied to find cyclical patterns in time series, so choosing the correct method is not always an easy task; this is where we consider the application of Visual Analytics (VA) that facilitates reasoning, interaction, and search for patterns; for this reason, we have built an interactive visual tool that allows us to perform a univariate and multivariate visual analysis of cyclical patterns in climate time series in a guided manner. A spiral visualization has been used for the univariate data analysis, and star-type glyphs have been used for the multivariate data analysis. The type of guidance applied is orientation based on visual signals to make it easier for the user to enter the number of segments, the main parameter that facilitates the detection of cyclical patterns; for this, the Fourier Transform was used. Three questions were raised to validate the tool according to the objectives outlined.
Korelasi Motivasi Belajar Terhadap Prestasi Belajar Siswa Kelas X Mata Pelajaran PAI Di SMKN 13 Malang Subhan Adi Santoso

: Learning is an activity that proceeds and is a very fundamental element in the implementation of each type and level of education. This means that the success or failure of the achievement of the educational objectives depends very much on the learning process that students experience when they are at school or in their home or family. Based on the background of the above problem, then the formulation of the problem as follows: What is the learning motivation of students of class X Subject PAI In SMKN 13 Malang and Is there a correlation of learning motivation with student achievement class X Subject PAI In SMKN 13 Malang. The method used in data collection is descriptive method. While the approach taken is a quantitative approach. Data collection in this study includes literature study and field study. The implementation of this field study involves observation techniques, interviews, and using data collection instruments in the form of questionnaires. Based on the results of correlation analysis obtained 0,538. In order for this number to be meaningful, it needs to be interpreted so as to give an explanation of the correlation between learning motivation and student achievement, that is by consulting through the value of r on the product momenttable, either with a significance level of 5% or 1%. For more details will be interpreted r o and r t (table) as follows. At the level of significance of 5% with the number of respondents (N) = 22 obtained r t = 0.423, while r o = 0.538. Thus r o is greater than r t or in other words r o&gt; r t. This means indicating a significant or positive correlation between the two variables. At the level of significance of 1% with the number of respondents (N) = 22 obtained r t = 0.537, while r o = 0.538. Thus r o is greater than r t or in other words r o&gt; r t. This means indicating a significant or positive correlation between the two variables. So the hypothesis examined that "There is a significant correlation between learning motivation and learning achievement subjects PAI grade X students in SMKN 13Malang also low
Pengaruh Media Pembelajaran Berbasis Website (Wordwall) Terhadap Hasil Belajar Peserta Didik Pada Mata Pelajaran Fiqih Kelas VII Di Sekolah Menengah Pertama Muhammadiyah 07 Paciran

This study uses the application of the classroom action research model (CAR) with the aim of knowing learning outcomes in fiqh class VII subjects through wordwall game media because after using wordwall game media students obtain complete learning outcomes at SMP Muhammadiyah 07 Blimbing, Paciran for the 2020/2021 academic year. . The population in this study were all seventh grade students at SMP Muhammadiyah 07 Blimbing, Paciran for the 2020/2021 academic year, totaling 50 students. In this study, the data collection technique used was the observation method.From the results of data processing questions before using the application of web-based game learning media (Wordwall) and after using the application of web-based game learning media (Wordwall) or commonly referred to as pre-test and post-test, which were tested with the equation formula Product Moment Correlation with significance level of 5% and 95% confidence level and 1% significance level and 99% confidence level, the result of rcount is 0.955. Meanwhile, in the rtable with 50 respondents, it is known that the rtable prices are 0.284 and 0.368. After being compared with rcount, it turns out that rcount is greater than rtable (0.284 &lt; 0.955&gt; 0.478), meaning that Ho is rejected and Ha is accepted. Furthermore, in the interpretation of the assessment, the correlation coefficient found is 0.955, which is between 0.80-1,000, so it is included in the very strong category.
Envisioning Critical Literacy through Literary Work for EFL Pre-Service Teachers

Teaching English seems to discredit literary works status as learning media, even though it has the inherent vigor to increase critical literacy. This is the fundamental case this research envisages to explore how literature as a bridge for critical literacy in the perspective of EFL pre-service teachers. Theoretically, this research is based on the concepts of literature, literacy, critical thinking, and EFL pre-service teachers. This research is a qualitative research. The approach used is a case study. The data in this study are responses or statements taken from several English education students who are EFL pre-service teachers. Data were taken from a discussion forum with 3 pre-service teachers as subjects. They are 7th semester students of English Language Education study program from 3 private universities in Surabaya. The technique of data is forum group discussion. The technique of data analysis is content analysis. From the analysis of the data, it results that the EFL pre-service teachers think that literary works are crucial to take portion because it can enhance the level of critical literacy through critical thinking, creativity, and open-mindedness.
Cost Efficient Station Monitoring and Remote Data Retrieval for Portable Seismic Stations

Remote monitoring as well as remote waveform data retrieval is an enabling capability for portable stations used in seismic hazards studies. Remote monitoring provides intra-deployment visibility of system performance to allow prompt detection, and subsequent resolution, of faults which may otherwise go undetected for the duration of the deployment and jeopardize a seismic campaign's successful outcome.&amp;#160; Waveform data retrieval allows intra-deployment quality control (QC) and can enable faster science. These benefits must be considered against the associated power consumption and telemetry bandwidth costs. These tradeoffs may drive a system implementation that limits remote retrieval to low resolution data or, in other use cases, restricts the retrieval of full resolution waveform data to specific periods of interest only.&amp;#160; In the case of deployments in harsh environments, such as polar or ocean bottom environments where field visits are cost prohibitive or may not be possible, even high cost remote retrieval of a complete data set may be preferable if it offers a savings and / or a reduction in operational risk in comparison to a station visit. As part of this session, we discuss how advancement in low power portable geoscience instrumentation, combined with low power communication technology, deliver these new capabilities with flexible implementation balancing function and operational cost.
Unravelling the thermochemical structure and evolution of cratonic lithosphere with multi-observable probabilistic inversions

The present-day thermochemical structure of the subcontinental mantle holds key information on its origin and evolution and informs exploration strategies, natural hazard management and evolutionary model of the Earth system. As such, unravelling the nature of the continental lithosphere, its modification through time and its interactions with the sublithospheric mantle and the atmosphere/hydrosphere constitute some of the main goals of modern geoscience. Despite its fundamental importance, imaging the fine-scale thermochemical structure of the lithosphere using indirect (remote) data is plagued with difficulties, which has traditionally left the analysis of xenoliths and xenocrysts as the only reliable approach.In recent years, however, &amp;#8216;simulation-based&amp;#8217; inverse methods that integrate multiple geophysical and geochemical datasets within an internally- and thermodynamically-consistent platform have opened new and promising ways to address this &amp;#8216;grand challenge&amp;#8217;. In this presentation, I will discuss i) some recent progress, case studies and future directions on the mapping of the thermochemical structure of the continental lithosphere, and ii) their predictive power for the energy and critical minerals sectors and possible implications for planetary exploration in general.
Past Evolution of the Earth-Moon System. The AstroGeo tools for geological proxies.

In recent years, several groups have analyzed or re-analyzed stratigraphic data in order to derive astronomical information on the past evolution of the Earth-Moon system. Depending on the approach and on the type of sediment that is analyzed, the retrieved data are of different nature. For tidal deposits, one may attempt to obtain the number of lunar days in a lunar month, or the number of lunar months per year (e.g. Williams, 2000), or even retrieve the nodal period of the Moon (Walker &amp; Zahnle, 1986). In contrast, for cyclostratigraphic analyses, the derived quantity is the precession frequency of the Earth (e.g. Meyers and Malinverno, 2018). The problem for the geologist is then to derive all the other parameters of the Earth-Moon system from this single initial observation.&amp;#160;The AstroGeo tools (www.astrogeo.eu) are designed to help the geologists in this task by providing conversions from one geological proxy &amp;#160;to all the remaining parameters of the Earth-Moon system &amp;#160;that can be derived from this single observation.&amp;#160; These tools developed in the AstroGeo project rely on the physical model recently developed in Farhat et al. (2022). The AstroGeo lunar tool is the first of a series that will be available for the geologists and astronomers community. It allows to input any of the possible observables of the Earth-Moon system (age, semi-major axis, length of the day, precession frequency and angle of obliquity), with some uncertainty, and to derive all the other parameters by interpolating the results of Farhat et al. (2022). At the same time, new data can be plotted versus the nominal solution, together with the already known data that will be kept in an evolving data base. These tools will be available on the AstroGeo website (www.astrogeo.eu). I will present these new tools along with the recent progress of the AstroGeo project.Ref : Farhat, M., Auclair-Desrotour, P., Bou&amp;#233;, G., Laskar, J., 2022, The resonant tidal evolution of the Earth-Moon distance&amp;#160;Astronomy &amp; Astrophysics, 665, L1https://www.aanda.org/articles/aa/pdf/2022/09/aa43445-22.pdf