Reviewerly/exHarmony huggingface dataset:
Supplemental Material: The building blocks of igneous sheet intrusions: Insights from 3-D seismic reflection data

&lt;div&gt;Uninterpreted seismic reflection images (Figs. 5, 6, and 8); Jupyter notebooks and associated input- and output-files to: (1) describe the time-depth conversion of data, (2) create tuning wedge models, (3) quantify connector heights, and (4) quantify element geometries; and a QGIS project including all shapefiles and georeferenced maps used for this study.&lt;br&gt;&lt;/div&gt;
The Relationship between Environment and Indonesian Language Learning

The environment has an important role in learning Indonesian. Environmentally friendly materials can help students develop skills and interests and can foster enthusiasm for learning Indonesian. Environmental materials can also make it easier for students to understand Indonesian language material well, add insight, and can build students' linguistic intelligence. Then Indonesian language subjects can provide comprehensive knowledge and skills about protecting the environment.
Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework

Data splitting preserves privacy by partitioning data into various fragments to be stored remotely and shared. It supports most data operations because data can be stored in clear as opposed to methods that rely on cryptography. However, majority of existing data splitting techniques do not consider data already in the multi-cloud. This leads to unnecessary use of resources to re-split data into fragments. This work proposes a data splitting framework that leverages on existing data in the multi-cloud. It improves data splitting mechanisms by reducing the number of splitting operations and resulting fragments. Therefore, decreasing the number of storage locations a data owner manages. Broadcasts queries locate third-party data fragments to avoid costly operations when splitting data. This work examines considerations for the use of third-party fragments and application to existing data splitting techniques. The proposed framework was also applied to an existing data splitting mechanism to complement its capabilities.
Design of meteorological intelligent sensor based on POE Technology

Abstract An application scheme of Poe based Ethernet technology in meteorological intelligent sensor system is designed. The working principle and implementation method of Ethernet power supply system (POE) based on IEEE802.3af Ethernet power supply industry standard are experimentally analyzed. The power supply part of the meteorological intelligent sensor makes full use of Poe technology to provide current on the network cable transmitting data, which greatly reduces the complexity of the power supply system and improves the reliability of the system power supply design. Through the test of the actual system, the function and performance of the meteorological intelligent transmission system have achieved the expected results.
Pengembangan Media Pembelajaran Komponen Elektronika Berbasis Augmented Reality

Pengembangan media pembelajaran ini bertujuan untuk menghasilkan produk berupa media pembelajaran berbasis Augmented Reality menggunakan android yang dapat membantu proses belajar mengajar secara daring . Penerapan augmented reality unik dan memudahkan pengguna untuk memperlihatkan suatu bentuk yang tidak ada di area sekitarnya. Output dari pembuatan media ini berupa aplikasi yang dapat diimplementasikan pada smartphone berbasis android. Pengembangan media ini menggunakan metode penelitian pengembangan atau research &amp; development (R&amp;D) dengan model pengembangan ADDIE. Penelitian ini dilakukan sampai tahap ketiga yaitu: (1) analysis, (2) design, (3) development. Berdasarkan hasil uji validasi oleh ahli media dan materi didapatkan nilai rata-rata 89.47% dengan kategori sangat valid dari ahli media dan didapatkan rata-rata 91.88% dari ahli materi dengan kategori sangat valid. Hasil uji pengguna yang dilakukan oleh peserta didik memperoleh hasil 92.63% dengan kategori sangat praktis, disimpulkan produk ini sangat layak untuk digunakan. Kata kunci : Augmented Reality , Android, Media, Komponen Elektronika,R&amp;D The development of this learning media aims to produce products in the form of Augmented Reality-based learning media using Android that can help the online teaching and learning process. The use of augmented reality is interesting and makes it easier for users to display an object that does not exist in the surrounding environment. The output of making this media is in the form of an application that can be implemented on an Android-based smartphone. The development of this media uses the research &amp; development (R&amp;D) method with the ADDIE development model. This research is limited to the third stage, namely: (1) analysis, (2) design, (3) development. Based on the results of the validation test by media experts and material experts, the results were 89.47% with a very valid category from media experts and 91.88% from material experts with a very valid category. The results of user tests conducted by students obtained 92.63% results with a very practical category, it was concluded that this product was very feasible to use. Keyword s : Augmented Reality, Android, Media, electronic components,R&amp;D
Methodological knowledge of mathematics as a necessary condition for the formation of professional competencies of future teachers of mathematics

The article deals with the problem of preparing a future mathematics teacher for professional activity in the conditions of digitalization. The requirements for the mathematical training of a future teacher are highlighted and one of the ways to improve mathematical and methodological competencies is proposed. The main idea of the article is to analyze and describe the experience of solving the problems of filling the content of online courses to involve students in an independent research search, the experience of correlation of methods of organizing the educational process in the conditions of offline and online student learning. The author, based on the analysis of the content of methodological knowledge in mathematics and mathematical knowledge proper, reveals the content and essence of the methodological component in the professional activity of a future mathematics teacher. The purpose of the article is to determine the strategies of organizing a course in which future mathematics teachers receive not only mathematical, but also methodological training using different.
Robust Video Steganography for Social Media Sharing Based on Principal Component Analysis

Abstract Most social media channels are lossy where videos are transcoded to reduce transmission bandwidth or storage space, such as social networking sites and video sharing platforms. Video transcoding makes most video steganographic schemes unusable for hidden communication based on social media. This paper proposes robust video steganography against video transcoding to construct reliable hidden communication on social media channels. A new strategy based on principal component analysis is provided to select robust embedding regions. Besides, side information is generated to label these selected regions. Side information compression is designed to reduce the transmission bandwidth cost. Then, one luminance component and one chrominance component are joined to embed secret messages and side information, keeping the embedding and extraction positions in sync. Video preprocessing is conducted to improve the applicability of our proposed method to various video transcoding mechanisms. Experimental results have shown that our proposed method provides strong robustness against video transcoding and achieves satisfactory security performance against steganalysis. The bit error rate of our method is lower than state-of-the-art robust video steganographic methods. It is a robust and secure method to realize reliable hidden communication over social media channels, such as YouTube and Vimeo.
STRATEGIC COMMUNICATION IN THE FACE OF CONTEMPORARY THREATS TO THE INFORMATION ENVIRONMENT

Citizens' involvement in social life is essential to the functioning of civil society.This takes place when citizens are duly informed and involved in the activities of public institutions.To realize this, it is necessary to develop an extensive information policy that integrates a given ministry's strategic communication expectations.The aim of this article was to describe strategic communication in relation to the implementation of a systemic method of communication in the army together with its structures in the larger society, including allied countries.This description was carried out against the background of contemporary threats to the information environment.The following research problem was posed: How are the assumptions of strategic communication implemented against the background of contemporary threats to the information environment?Qualitative analysis was the research method used, and the technique used was the analysis of source documents.
Boundary-enhanced attention-aware network for detecting salient objects in RGB-depth images

In recent years, salient object detection (SOD) in RGB-depth (RGB-D) images has attracted considerable research interest. We present a boundary-enhanced attention-aware network (BANet) for RGB-D SOD by combining boundary and saliency detection networks. In particular, depth maps were used to detect the saliency boundaries effectively, and the corresponding RGB images were used to predict the salient objects. Considering that the data contained in depth maps are insufficient, HSV images were employed as complements to enhance the boundary detection performances. Subsequently, an attention module was used to adaptively weigh the features from the RGB branch and boundary network to improve the SOD performance of the proposed BANet. A loss function combining saliency supervision, background supervision, and boundary supervision was designed to optimize the parameters of the BANet. Extensive experiments were conducted to assess the robustness and effectiveness of the proposed BANet. The results suggest that the proposed BANet shows a significant improvement over other representative SOD approaches.
Flight Strategy Design for Unmanned Aerial Vehicle Flying in Multi-threats Environment

Designed a flight strategy for UAV flying in multi-threats environment, allows the ability of making decisions by UAV autonomously depending on information about threats and mission requirements. Firstly, modeled the multi-threats environment using probabilistic risk map which was formed by the damage probability density of the UAV and divided the environment by introducing anti-damage factor and adventure factor. Then, considered the dynamic constraint of UAV a flight strategy was proposed. Finally, discussed the prediction time domain and proved the effectiveness of the strategy by means of simulation.
Data Binding

Imagine an application that needs to display data to the user, and capture changes made by that user to save the modified data. One way you could build an application like this is to, once you got the data, iterate over each item of data. For example, for every member of a list, you would generate the same repeating element, and then inside that element, you would generate text boxes, drop-downs, and other UI elements that present data. Later, after the user has made some changes, you would iterate over your generated elements, and for every element, you would inspect the child elements to see if their data was changed. If so, you copy the data back into your objects that will be used for saving that data.
Image Of A Teacher In The Context Of Digital Pedagogy

Nowadays in the digital transformations of educational system there is a necessity to take a new look at the image of a teacher, who still remains the key factor in educational environment.Teacher's personality effects the outcomes and effectiveness of the educational process.In this regard, we should reconsider the obligatory pre-service teacher's personal qualities, which will enable the novice teacher to work at "digital" schools.Although several models of teacher professional qualities exist, they require further analysis under conditions of significant digital shift in educational restructuring.Therefore, the aim of the present research is to define the content and structure of image-forming characteristics of preservice teachers on the new development stage of digital education.To fulfill the challenging endeavor, we analyzed the scientific literature and conceptualized the "image of a teacher"; by means of content analysis we investigated the structure and functions of an image of a teacher; with comparative and intent analysis we surveyed the bachelor students of the "Pedagogical Education" department (Pskov State University, Russia) specializing in the Russian and English languages, in order to determine the professional characteristics they have acquired, with a special attention to their digital literacy as an essential part of their professional competence.As a result, following the theoretical ideas, we have worked out some guidelines for the development of the image of pre-service teachers, which will enable them to succeed in their future pedagogical career.
Подготовка библиотечных кадров в Бурятии: опыт и достижения (1950-е – начало 1990-х гг.)

The article describes the main results of personnel training for library institutions since the 1950s until the beginning of the 1990s in Buryatia. The authors consider historical experience of training library personnel in the context of changes in librarianship. In addition, the authors analyzed the process of formation and expansion of the library network, affecting requirements for library workers.
Forecasting Trend of Coronavirus Disease 2019 using Multi-Task Weighted TSK Fuzzy System

Artificial intelligence– (AI) based fog/edge computing has become a promising paradigm for infectious disease. Various AI algorithms are embedded in cooperative fog/edge devices to construct medical Internet of Things environments, infectious disease forecast systems, smart health, and so on. However, these systems are usually done in isolation, which is called single-task learning. They do not consider the correlation and relationship between multiple/different tasks, so some common information in the model parameters or data characteristics is lost. In this study, each data center in fog/edge computing is considered as a task in the multi-task learning framework. In such a learning framework, a multi-task weighted Takagi-Sugeno-Kang (TSK) fuzzy system, called MW-TSKFS, is developed to forecast the trend of Coronavirus disease 2019 (COVID-19). MW-TSKFS provides a multi-task learning strategy for both antecedent and consequent parameters of fuzzy rules. First, a multi-task weighted fuzzy c-means clustering algorithm is developed for antecedent parameter learning, which extracts the public information among all tasks and the private information of each task. By sharing the public cluster centroid and public membership matrix, the differences of commonality and individuality can be further exploited. For consequent parameter learning of MW-TSKFS, a multi-task collaborative learning mechanism is developed based on ε-insensitive criterion and L2 norm penalty term, which can enhance the generalization and forecasting ability of the proposed fuzzy system. The experimental results on the real COVID-19 time series show that the forecasting tend model based on multi-task the weighted TSK fuzzy system has a high application value.
Interpretation problems of LA-ICP-MS U-Pb geochronology

The existing practice for characterizing the time of a metamorphic event by the average mean of radiogenic mineral dates gives a false idea about the event duration. In the present communication this practice is discussed from the viewpoint of regional geology and geodynamics. Conclusions about the interpretations of radioactive mineral dates for the mineral event duration and the metamorphic event duration are also made.
Analysis of land use patterns in the upper Cimanuk river basin and its relationship with irrigation water discharge in Majalengka Regency, Indonesia

Land use with increasingly high intensity and not well planned, such as land conversion from agricultural land to residential and industrial areas has the potential to cause damage to watersheds indicated by a decrease in hydrological conditions. This land use change is an important phenomenon for every planner and regional policy maker. This research wa conducted for seven months at the Cimanuk River Basin. This study aims to determine the pattern of land use in the Uppe Cimanuk Watershed and the impact of land use in the Upper Cimanuk Watershed on irrigation water discharge in Majalengka Regency. The research method in this study used the image classification method, namely the process of dividing the coverage area based on image data with the use of certain symbols. In it there was an unsupervised classification and a guided classification. The results showed that Land use patterns in the Cimanuk River Basin are dry land agriculture by 30.02%, rice fields by 19.01%, production forest by 14.34%, and bush area by 0.32%. The average annual discharge in 2020 in the upstream of the Cimanuk River Basin that flows into the Rentang and Kamun dams were 125.32 m/s and 355 m/s.
Technological Characteristic of Futures Based on Virtual Assets

A virtual asset is a type of asset which does not have a material representation, although its value is reflected in a real currency. Due to their nature, the price of digital assets is usually highly volatile, especially with futures, which are derivative financial contracts. This is the most important contributing factor to the problem of the low usability of digital-based contracts in enterprise operations.Previously existing virtual assets included photography, logos, illustrations, animations, audiovisual media, etc. However, virtually all of such assets required a third-party platform for exchange to currency. The necessity of having a trusted by both sides mediator greatly limited the ease of use, and ultimately restricted the number of such transactions. Still, popularity of digital assets only grew, as evidenced by an explosive growth of software applications in the 2000s, as well as blockchain-based asset space in the 2010s.The newest and most promising solution developed is based on cryptoassets. Underlying usage of block- chain technology for the transactions checking and storage ensures clarity in virtual assets’ value history. Smart contracts written for the Ethereum platform, as an example, provide a highly trustful way of express- ing predefined conditions of a certain transaction. This allows safe and calculated enterprise usage, and also eliminates the need of having a mutually trusted third-party. The transactions are fully automated and happen at the same time as the pre-defined external conditions are met.Ethereum was chosen as an exemplary platform due to its high flexibility and amount of existing development. Even now, further advancements are being explored by its founder and community. Besides Ether, it is also used nоn-fungible tokens, decentralized finance, and enterprise blockchain solutions. Another important point is how much more nature friendly it is compared to main competitors, due to energy-efficiency of the mining process, enforced by the platform itself. This makes it ideal for responsible usage as well as further research.This article explores the digital assets usage, as well as explains cryptoassets technological background, in order to highlight the recent developments in the area of futures based on virtual assets, using certain Ether implementation as an example, which offers perpetual futures.
Magical FX Using Maya

This chapter discusses how to create fire, fireworks, lightning, shatter, and smoke effects using Autodesk Maya. You will also learn how to use Attribute Editors and how to manipulate values in order to create visually intriguing effects.
The Effect of the Use of Canva Application Learning Media on the Creativity of Students in Language Studio Extracurricular Activities at SMPN 1 Tanjung Emas

This research is motivated by the low creativity of students in language studio extracurricular activities at SMPN 1 Tanjung Emas. This condition is thought to be due to factors that influence the low creativity of students, one of the factors that is thought to greatly influence is the use of learning media that is less effective and efficient. This study aims to see the creativity of students through the use of Canva application learning media in language studio extracurricular activities at SMPN 1 Tanjung Emas. This type of research is using a quantitative approach to the quasi-experimental method (Quasi Experiment). The population in this study were students in the language studio extracurricular activities at SMPN 1 Tanjung Emas as many as 25 students, all of whom became the research sample. By using data analysis using the test formula paired sample t-test. From the data processing, it can be concluded that there is a significant difference between the creativity of students before being given an action (pretest) and after being given an action (posttest) using the Canva application learning media in the language studio extracurricular activities at SMPN 1 Tanjung Emas. Suggestions and results of this research are for educators to be able to further increase the creativity of students in using the Canva application learning media and for school principals at SMPN 1 Tanjung Emas as leaders at the school so that they can further increase the availability of facilities and infrastructure, especially effective and efficient learning media. as well as to support the creativity of students
Grain Size Analysis, Textural Characterisation and Depositional Environment of Turonian Amasiri Sandstone, Southern Benue Trough, Nigeria

Grain size analysis of Turonian Amasiri Sandstone in southern Benue Trough has been undertaken to determine the controversial depositional environment of the formation. The formation was first studied on outcrops and 26 representative samples were collected and subjected to particle size analysis in line with standard procedures for dry sieving. Various methods of environmental interpretation of grain size distribution data were applied to constrain the depositional of the sandstones. The result indicates that the sands are medium and coarse-grained with mean size ranging from 0.15 to 1.87φ and averaging 0.96 φ. The sandstones are moderately to poorly sorted with standard deviation values ranging from 0.72 to 1.38 φ and averaging 1.07 φ. They exhibit a wide range of distribution from strongly coarse skewed to strongly fine skewed with skewness values ranging from -2.31 to 1.52 φ and averaging -0.04 φ but indicate a narrow range of kurtosis from mesokurtic to leptokurtic distribution with values ranging from 0.99 to 3.49 φ and an average of 2.06 φ. The sediments have bimodal with minor polymodal and unimodal distribution with primary modal size of 1.2 φ. The bivariate plots of size statistical parameters indicate fluvial environment of deposition. However, linear discriminant function analysis and the interpretations of log-probability plots indicate deposition in a fluvial, beach, and shallow marine settings, and thus suggesting a possible deposition in high-energy transitional environment. The C-M pattern of the samples indicates that sediments were transported mainly by rolling and suspension with subordinate fractions moved by rolling as well as suspension. Thus, it is deduced that Amasiri Sandstone was deposited in fluvial, beach, and agitated shallow marine environments.
SUNY Libraries Consortium (SLC) Alma/Primo VE Training Materials

"SUNY Libraries Consortium (SLC) Alma/Primo VE Training Materials." Technical Services Quarterly, 38(4), pp. 450–451