Reviewerly/exHarmony huggingface dataset:
Addressing the challenges of making data, products, and services accessible: an EPOS perspective

&amp;lt;p&amp;gt;Climate change, volcanic eruptions, pandemics, financial crises, or large earthquakes; the problems societies must deal with nowadays are often complex and multifaceted. In a data-driven world, providing access to comprehensive, multidisciplinary data repositories to tackle such wicked problems is indispensable. Frameworks allowing such data access are therefore of particular importance. EPOS, the European research infrastructure for the solid Earth domain, is such a framework. It is a multidisciplinary, distributed research infrastructure that facilitates the integrated use of data, data products and services, and facilities from the European solid Earth science community. Although the importance of this undertaking is obvious, its implementation bears many challenges. We focus in our contribution at the most pressing issues from when data, products, and services are made accessible, to access principles, ethical issues related to its collection and use as well as with respect to their promotion.&amp;lt;/p&amp;gt;
Key Technology Application and Network Architecture of Electronic Communication Based on ARM

The application of electronic communication effectively shortens the distance between people, promotes the development process of economic globalization, and effectively promotes the country’s economic development. This paper analyzes the key technologies in electronic communication, such as security protection technology, satellite communication technology, alignment and tracking, and discusses the switching between different communication networks and broadband network technology under its network framework, so as to promote the continuous development of electronic communication technology in China.
Black Level Compensation for TVs Using HDR Dynamic Metadata

This paper proposes a high dynamic range (HDR) tone mastering system which dynamically corrects the picture quality based on dynamic metadata in various black level conditions to preserve the content providers&#x0027; creative intent. It permits compensating for the TV panel black level difference and preserving black and shadow details created by studios even though black levels vary across TV panels. The paper also describes a novel HDR image creative intent tuning system to match the content shown on target TV and reference TV. The results show that the proposed method can effectively compensate the black detail for different black levels.
FORMATION OF THE READINESS OF FUTURE TEACHERS FOR PROFESSIONAL AND ETHICAL INTERACTION WITH STUDENTS AS A CONDITION FOR ENSURING A SAFE EDUCATIONAL ENVIRONMENT AT SCHOOLS

Information about the paper titled "FORMATION OF THE READINESS OF FUTURE TEACHERS FOR PROFESSIONAL AND ETHICAL INTERACTION WITH STUDENTS AS A CONDITION FOR ENSURING A SAFE EDUCATIONAL ENVIRONMENT AT SCHOOLS" at IATED Digital Library
Modern Features of Public School Education on the Example of Grozny (Russia)

The education system is the most important aspect in the state and social development of the country. Guaranteed education is enshrined in the Constitution of the Russian Federation as the most important part of a person's life. Education determines the status in society. The education system is an important institution in public relations, in the economy, in social progress. The measure of a person's education determines his/her spiritual relations in society, the economy, and the social dimension. Education determines many factors of a person's life, his/her place in all aspects. The sphere of education is one of the priority directions in social and economic policy. All important state components, such as the economy, security, and well-being depend on the level of education of the country. The process of economic modernization and economic growth indicators are changing with an increase in the level of education of the population. Education is the most important foundation for the further development of a person, his/her spiritual improvement, an incentive to new achievements.
On Privacy Risks of Watching YouTube over Cellular Networks with Carrier Aggregation

One's core values, personality, and social status may be reflected in the watch history of online video streaming services such as YouTube. Unfortunately, several prior research work demonstrates that man-in-the-middle or malware-assisted attackers can accurately infer the titles of encrypted streaming videos by exploiting the inherent correlation between the encoded video contents and the traffic rate changes. In this paper, we present a novel video-inference attack called Moba that further exacerbates the problem by only requiring the adversary to simply eavesdrop the broadcast messages of a primary cell of a targeted user's cellular phone. Our attack utilizes a side channel in modern cellular networks that leaks the number of actively transmitting cells for each user. We show that this seemingly harmless system information leakage can be used to achieve practical video-inference attacks. To design effective video-inference attacks, we augment the coarse-grained side-channel measurements with precise timing information and estimate the traffic bursts of encrypted video contents. The Moba attack considers an adversary-chosen set of suspect YouTube videos, from which a targeted user may watch some videos during the attack. We confirm the feasibility of Moba in identifying the exact YouTube video title (if it is from the suspect set) via our over-the-air experiments conducted in LTE-Advanced networks in two countries. Moba can be effective in verifying whether a targeted user watches any of the suspect videos or not; e.g., precision of 0.98 is achieved after observing six-minutes of a single video play. When further allowed to observe multiple video plays, Moba adversary is able to identify whether the targeted user frequently watches the suspect videos with a probability close to one and a near-zero false positive rate. Finally, we present a simple padding-based countermeasure that significantly reduces the attack effectiveness without sacrificing any cellular radio resources.
Supplemental Material: The problem of paleo-planforms

Extended methodological details, information on dataset compilation and how to access the dataset, and a list of field localities.&lt;br&gt;
HIGHER EDUCATION IN TIMES OF COVID: IMPACT ON THE QUALITY OF INTERNSHIP PROGRAM

S. Tišma1, S. Kalambura2, R. Biondić3, S. Kovač3, H. Maeški3, D. Dogančić3, L. Nađ4, A. Farkaš1, I. Tolić1, A. Ruk1 1Institute for Development and International Relations (CROATIA) 2University of Applied Science Velika Gorica (CROATIA) 3University of Zagreb, Faculty of Geotechnical Engineering (CROATIA) 4Green Energy Cooperative (CROATIA)
SISTEM INFORMASI ADMINISTRASI KEPENDUDUKAN PADA DESA SAMPIR KECAMATAN WARINGINKURUNG

The population administration system is part of the state administration system, which has avery important role in the government to manage population data. Increasing populationawareness and participation to participate in supporting the development planning of thepopulation administration system to improve services to the public. In line with the objectives ofthe administration of population administration, population registration and civil registrationare an important part of the population administration system that needs to be managed as wellas possible to provide benefits for government improvement and development. Sampler Villageis one of the villages that already use information systems and computers in carrying out dailyactivities. This population information system was built by applying auto control to input errorsthat often occur, besides that it is also equipped with auto control for data that is exchangedwhich causes data redundancy as well as control over information users because it has beenequipped with good user security features so that it is more guaranteed that data will not belost. stolen or lost. Some of these features apply to several important transactions for serviceadministration, including the process of submitting a letter of introduction for a ResidentIdentity Card (KTP), Family Card (KK), birth certificates, and death certificates so that this isexpected to help the process of serving residents and village office tasks become more efficient.faster and more effectively by the expected needs.
The great bug robbery

The latest true-crime series to hit the small screen takes an intriguing heist just a little bit too seriously, says Elle Hunt
Proposing a multiple infrastructure model for the utilization of bitcoin

Today, one of the most important reasons for the pervasiveness of digital currencies is the unique benefits it provides to users, which can be attributed to the speed and efficiency of payments, especially overseas payments. This study aimed to provide a multiple infrastructure model for bitcoin use. This research has been done qualitatively using interview tools. The survey community consists of academic experts including Profesor universitarios specializingin the fields of digital currencies, e-commerce, international finance and finance, and empirical experts consisting of managers and experts of monetaryand financial organizations (banks, stock exchanges). The selection of samples is saturated and purposeful. Finally, 18 people were selected to answerthe interview questions. Data analysis was performed with the context theory (GT) approach. Based on the obtained results, 6 main networks, 14 maincomponents and 77 sub-components were obtained as multiple infrastructures for bitcoin use. The results also showed that economic and social infrastructure can affect the use of bitcoin. If there is funding to buy the necessary devices and welcome bitcoin in the community, bitcoin will be more usable as a digital and acceptable currency.
ECONOMIC &amp; FINANCIAL ANALYSIS: THE CASE STUDY OF HAIRDRESSERS AND BEAUTY INSTITUTES

R. Abreu 1, L. Segura2, A. Vasconcelos2, I. Dias3 1Instituto Politécnico da Guarda, UDI-IPG, CICF-IPCA, CISeD-IPV (PORTUGAL) 2Presbyterian Mackenzie University (BRAZIL) 3Instituto Politécnico da Guarda (PORTUGAL)
Space-time variations of crustal, fault zone, and seismicity structures

&amp;lt;p&amp;gt;Beno Gutenberg made fundamental contributions to knowledge about large-scale earth structures and properties of moderate to large earthquakes using the seismic data available at the time. Data recorded in the last few decades by improved regional networks and dense seismic arrays provide opportunities for resolving fine details of subsurface rocks and seismicity in 4D. I review such results based primarily on recent data from Southern California. The discussed topics include multi-scale seismic imaging of the crust and fault zones, monitoring temporal changes of seismic velocities, and tracking localization of rock damage and low magnitude seismicity before large earthquakes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The seismic imaging results reveal hierarchical rock damage structures around large fault zones with intense core damage zones and bimaterial interfaces. The fault damage zones follow overall a flower-shape structure, with significant damage in the top few km that decreases in amplitude and width with depth, and they tend to be offset from the surface trace to the side with higher seismic velocity at depth. The top 100-300 m section has generally extreme seismic properties (very low Vp, Vs, Q values; very high Vp/Vs ratios), which make it highly susceptible to failure and temporal changes. Large earthquakes produce changes of seismic velocities that decay with distance from the rupture zones, but remain significant on a regional scale in the shallow crust. The co-seismic velocity changes are followed by log(&amp;lt;em&amp;gt;t&amp;lt;/em&amp;gt;) recovery, and can be very large (e.g. &amp;gt;30%) in the top 100-300 m. Appreciable changes of shallow materials are also generated by atmospheric and other non-tectonic loadings on various timescales.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The results on localization processes are based on (i) estimated production of rock damage by background seismicity, (ii) spatial localization of background events within damaged areas, and (iii) progressive coalescence of individual earthquakes into clusters. The analyses reveal generation of earthquake-induced rock damage on a decadal timescale around eventual rupture zones of large earthquakes, and progressive localization of background seismicity 2-3 yrs before M &amp;gt; 7 earthquakes in Southern and Baja California and M &amp;gt; 7.5 events in Alaska. This localization phase is followed by coalescence of earthquakes into growing clusters that precede the mainshocks. Corresponding analyses around the 2004 M6 Parkfield earthquake in the creeping section of the San Andreas fault, which is essentially always localized, show opposite tendencies to those involving faults that are locked in the interseismic periods.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Continuing efforts in these topics include merging local high-resolution imaging results within regional models, monitoring temporal changes of properties at seismogenic depth, and including geodetic data and insights from laboratory experiments in the localization analyses.&amp;lt;/p&amp;gt;
Performance Analysis of Chaotic Neural Network and Chaotic Cat Map Based Image Encryption

Nowadays, chaotic systems are used quite often, especially in image encryption applications. Hypersensitivity to the initial conditions, limited field-changing signs and irregular movements make these systems one of the critical elements in scientific matters such as cryptography. These systems are divided in two parts as discrete time and continuous time in terms of their dimensions and properties. Gray level image encryption applications generally use one-dimensional and color image encryption applications generally use multi-dimensional chaotic systems. In this study, Tent Map, Cat Map, Lorenz, Chua, Lu chaotic systems were used for chaotic neural network based image coding application and Logistic Map and 3D Cat Map chaotic systems were used for 3D chaotic Cat Map based image encryption application. The encrypted image and the original image were examined by various analysis methods. As a result of these analyzes, it was seen that both applications gave very successful results. Analyzes have shown that the chaotic neural network based image coding algorithm is more secure and successful.
Marrying WebRTC and DASH for interactive streaming

WebRTC is a set of W3C and IETF standards that allows the delivery of real-time content to users, with an end-to-end latency of under half a second. Support for WebRTC is built into all modern browsers across desktop and mobile devices, and it allows for streaming of video, audio and data. While the original focus of WebRTC has been on videoconferencing, it is increasingly being used today for real-time streaming of premium content because its ultra-low latency features enable several new user experiences, especially those that involve user interactivity, that are not easy to deliver or even possible with the traditional broadcast or streaming delivery protocols. Because of this increasing usage for premium content, the integration of WebRTC with the de facto adaptive streaming protocols such as MPEG's Dynamic Adaptive Streaming over HTTP (DASH) is essential. This paper gives information about the DASH Industry Forum's exploration activity on this very subject.
Research on Architecture Design Method of Joint Information Environment of Space-based Network Information System based on Multi-viewpoint

Based on the design goal of the joint information environment architecture of space-based network information system, this paper proposes the basic framework and design process of the joint information environment architecture of space-based network information system according to the multi-viewpoint design idea of “competency-based, information-oriented and service-oriented”. The view models of Capability Conception CV-1, Information Activity Model IAV-1, Advanced Operational Concept Diagram OV-1, System Composition Description Diagram SV-1 and Information Service List SvcV-1 are constructed, which provide theoretical basis and technical reference for the research of joint information environment of space-based network information system.
Lithology Mapping with Satellite, Fieldwork-based Spectral data, and Machine Learning: the case study of Beiras Group (Central Portugal)

&amp;lt;p&amp;gt;The lack of cartography increases the problematic of poor knowledge of geological resources and land management in regions that could benefit greatly from this information. Remote sensing has been an invaluable mean of obtaining data to perform geological mapping objectively and with high scientific accuracy. In Portugal, there is a large gap of cartographic information at 1:50 000 scale throughout the territory, so this work intends to complement this problem through a set of techniques and methodologies applied to a study of a region of Grupo das Beiras.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Spectral databases serve as an initial tool for any methodology involving spectral analysis, namely for the development of cartography methods and quick characterization of rock samples.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To address these issues, a multispectral analysis of january and july 2015th scenes with low cloud cover and atmospheric corrections (level 2) was obtained from Landsat 8 (LS8). Certain statistical tests such as ANOVA and Tukey's were applied to both images to clearly know whether significant differences exist between lithologies.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;For the hyperspectral analysis, two sampling campaigns were carried out with the collection of rock samples of metasediments and granites and soil. The analysis was performed in fresh samples, crushed samples (2 mm - 500 &amp;amp;#956;m; 500 &amp;amp;#956;m - 125&amp;amp;#956;m; &amp;lt;125 &amp;amp;#956;m) and soil samples demonstrating a significantly different spectral behavior among various particle sizes in the hyperspectral signatures between fresh and crushed samples. X-ray fluorescence (FRX) was used to obtain geochemical data of major elements to validate the spectral results obtained. As a result, there were identified correspondences between the obtained hyperspectral data and the databases as well in the literature meaning that the spectral signatures of this research are consistent with the studied samples.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The creation of &amp;lt;em&amp;gt;machine learning&amp;lt;/em&amp;gt; models is an emerging tool for cartography in which LS8 reflectance data was used for this elaboration. In this work and for this context the models proved to be useful and successful for the image classification from algorithms assigned for this function.&amp;lt;/p&amp;gt;
Analyzing the Application of Multimedia Technology Assisted English Grammar Teaching in Colleges

To address the problem that the traditional English composition is manually reviewed, which leads to low efficiency of grammar error checking and heavy teaching burden for teachers and seriously affects the quality of English teaching, a verb grammar error checking algorithm based on the combination of a multilayer rule model and a deep learning model is proposed with current multimedia technology. First, the basic principles and network structure of the long short-term memory network LSTM are specifically analyzed; then, a multilayer rule model is constructed; after that, an attention model-based LSTM verb grammar checker is designed, and a word embedding model is used to encode the text and map it to the status space to retain the textual information. Finally, the proposed algorithm is experimentally validated using the corpus dataset. The experimental results revealed that the accuracy, recall, and F1 values of the proposed algorithm in verb error detection were 45.51%, 28.77%, and 35.5%, respectively, which were higher than those of the traditional automatic review algorithm, indicating that the proposed algorithm has superior performance and can improve the accuracy and efficiency of grammar error detection.
Book Review: Blockchain Technologies, Applications and Cryptocurrencies: Current Practice and Future Trends

Jonathan Chiu of the Bank of Canada reviews “Blockchain Technologies, Applications and Cryptocurrencies: Current Practice and Future Trends” edited by Sam Goundar. The Econlit abstract of this book begins: “Eleven papers explore the management, organization, and technological use of blockchains and cryptocurrencies, detailing their applications in areas such as government, health care, and international development.”
Endeavours into a more automated workflow for regional scale landslide and flash flood event detection in the tropics using IMCLASS

&amp;lt;p&amp;gt;Geomorphic hazards such as landslides and flash floods (hereafter called GH) often co-occur&amp;lt;br&amp;gt;and interact imposing significant impacts in the landscape. Particularly in the tropics, where&amp;lt;br&amp;gt;GH are under-researched while impact is disproportionally high, establishing regional-scale&amp;lt;br&amp;gt;inventories of GH events is essential to better understand the behaviour and the patterns in&amp;lt;br&amp;gt;GH event occurrence. Robust AI-based detection tools such as the IMCLASS classifier&amp;lt;br&amp;gt;provide an excellent solution to accurately determine the location of GH events. However,&amp;lt;br&amp;gt;they rely on accurate training samples and require some knowledge on the timing of the event.&amp;lt;br&amp;gt;This information is regularly unavailable when exploring for new GH events in inaccessible&amp;lt;br&amp;gt;areas such as the tropics. Here we present our first endeavours into an automated workflow&amp;lt;br&amp;gt;for detecting unknown events in the tropics using the IMCLASS detection tool associated to&amp;lt;br&amp;gt;an unsupervised building of training samples using time series of Copernicus Sentinel 2&amp;lt;br&amp;gt;imagery. Per pixel, we investigate the cumulative difference from the mean over time for a&amp;lt;br&amp;gt;multitude of spectral index time series (e.g. NDVI, BI, SAVI) and their related z-score time&amp;lt;br&amp;gt;series. The method allows us to distinguish GH-affected and non-affected pixels based on the&amp;lt;br&amp;gt;prominence of the peak, and determine an approximate timing based on the location of the&amp;lt;br&amp;gt;peak within the timeseries. Both information are then used as input for the IMCLASS&amp;lt;br&amp;gt;classifier. The method is highly optimized in terms of computation time allowing to process&amp;lt;br&amp;gt;large regions of interest. Preliminary results over Uvira, DRC and the Mahale Mountains,&amp;lt;br&amp;gt;Tanzania, have shown to be encouraging and provide insight into a more automated workflow&amp;lt;br&amp;gt;applicable on the regional scale where event occurrence and timing is yet unknown. Further&amp;lt;br&amp;gt;steps will consist of adapting the workflow to different landscape, topography and climatic&amp;lt;br&amp;gt;regions.&amp;lt;/p&amp;gt;