Reviewerly/exHarmony huggingface dataset:
Harmonic dynamic of the Earth (C)

Abstract.In this paper, the physical simulation of the meridional movement of the crust is carried out by experiments; According to the geometry relationship between the peak point of the earth's crust and the earth's rotation under the action of tidal force, a mathematical model of the meridional movement of the crust is established. The velocity field of global continental drift is calculated using the meridional motion equation derived from the model, and is compared with the measured value of ITRF2000. It can be seen from the comparison between adjacent calculated values and measured values that the magnitude and direction of the two velocity vectors are basically the same. It follows that the meridional movement of the crust is a reciprocating harmonic movement. The continent and the ocean floor, under the action of the reciprocating harmonic dynamic process, float back and forth along the meridian. Due to the difference between forward and reverse resistance, there will be fixed displacement in one direction. So far, the series of papers on "Harmonic dynamic of the Earth (C)" have completed the kinematic analysis, driving force calculation, energy conversion calculation and verification of observation results of the earth harmonic dynamic process. Velocity field, driving force and energy consumption are the three basic indicators of mechanical power process. Many possibilities of geophysical evolution mechanism determine that the study of its main dynamic mechanism is inseparable from the detailed discussion of the three major indicators.
Implementasi Pembelajaran Model Make A Match: Meningkatkan Aspek Keaktifan dan Hasil Belajar Mata Pelajaran Ekonomi

The implementation of the Make A Match learning model in Economics subjects aims to improve students' activity and learning outcomes. This model utilizes an interactive and enjoyable learning method by comparing and matching Economics concepts. The results of the study showed that the implementation of the Make A Match model provides an improvement in students' activity and learning outcomes in Economics subjects.This study was conducted to investigate the effect of the implementation of the Make A Match learning model on the activity and learning outcomes of students in Economics subjects. This study was carried out using a quasi-experimental method using a pretest-posttest control group design research design. The population in this study was the 11th grade Economics students at one of the high schools in city X. The sample in this study was the 11th grade Economics 1 class as the experimental class and the 11th grade Economics 2 class as the control class. The results of the study showed that there was an improvement in students' learning activity and outcomes after the Make A Match learning model was applied in Economics subjects.Based on the results of the study, it can be concluded that the implementation of the Make A Match learning model can improve students' activity and learning outcomes in Economics subjects. Therefore, the Make A Match model can be applied as an effective alternative learning model to improve students' activity and learning outcomes in Economics subjects.Keywords: Make A Match Model, Learning Activity, Learning Outcomes, Economics
Volcanos – the gift that keeps on giving

The Smoking Hills Formation of Arctic Canada represents a Cretaceous metalliferous black shale named after auto-combusting exposures in Ingniryuat, Northwest Territories. This area was also named The Smoking Hills by the Franklin Expedition after the ever-present clouds of sulphuric acid smoke produced. Similar burning Cretaceous mudstones occur in Yukon, and northern Alberta, as well as western Greenland (as recorded in the Viking Sagas). These burning shales reflect deposition during OAE 2 and 3 events across the Arctic region. Metal in the Smoking Hills Formation are enriched over 1000x average shale values. The metal concentrations strongly correlate with heulandite content, an alteration product of volcanic glass, suggesting an origin related to volcanic loading. Abundant bentonite beds in the Smoking Hills Formation support deposition during active volcanism. This is further consistent with the eruption history of the High Arctic Large Igneous Province to the north, or Cretaceous arc related volcanics to the west. These metals are now being recycled into the otherwise modern pristine Arctic environment, generating hyper acidic waters (recording negative pH values) with extremely high metal concentrations orders of magnitude higher than safe drinking levels. Cretaceous eruptions are still driving widespread deleterious environmental impact today.
Fast and Efficient Text Searching in Compressed Data Using Burrows–Wheeler Transform

There is an exponential growth in the amount of digitally available data. The volumes of new material published on the Internet between 2010 and 2020 are higher than those produced throughout human history. A large part of these data is made up of text, which includes a series of symbols representing text, code, audio, images, visual images, time series and biological patterns. With the recent growth of data volume, compression has now become a crucial tool for dealing with large amounts of data. To minimize the storage, processing and transmission cost of these data, some data compression techniques are used. For searching the text over these compressed data, full decompression is required which takes so much time. So, a specialized data compression techniqueis required to store these data efficiently, which also allows searching text directly on compressed data without full decompression. In this chapter a new approach Succinct Burrows–Wheeler transform (S-BWT) is proposed for efficient storage and searching of text data based on Burrows–Wheeler transform (BWT). BWT is a new data structure library that compresses the data very efficiently also allows searching the text over compressed data directly without decompression. From experiments, it is confirmed that proposed approach outperform w.r.t. other state-of-the art approaches for fast and efficient searching in compressed data.
WDCC - Improvement of FAIRness of an established repository

The World Data Center for Climate (WDCC) provides access to and offers long-term archiving for datasets relevant for climate and Earth System research in a highly standardized manner following the FAIR principles. The focus is on climate simulation data. The WDCC services are aimed at both scientists who produce data (e.g. to fulfill the guidelines of good scientific practice) and scientists who re-use published data for new research.The WDCC is hosted by the German Climate Computing Center (DKRZ) in Hamburg, Germany. The repository is an accredited regular member of the World Data System (WDS) since 2003. WDCC is certified as a Trustworthy Data Repository by CoreTrustSeal (https://www.coretrustseal.org). The WDCC was actively involved in the development of mechanisms to publish scientific datasets as citable entities. The first Datacite DOI ever assigned to a dataset was for a WDCC dataset in 2004 (http://dx.doi.org/10.1594/WDCC/EH4_OPYC_SRES_A2). Since then dataset collections in WDCC can be published with a DOI. In 2022, in compliance with the FAIR principles, the WDCC has also implemented the assignment of PIDs, persistent identifiers, for individual datasets. A PID is a long-lasting reference to a dataset (or other digital object) that is designed to always provide access to the object or to a representation of it, even if the actual URLs of the objects may change over time. To meet user&amp;#8217;s needs it is essential to ensure high quality of data, which means making sure that datasets in the repository are really Findable, Accessible, Interoperable, and Reusable (FAIR). The FAIRness of the WDCC has been systematically assessed in Peters-von Gehlen et al. (2022). Furthermore, to monitor the development of FAIRness in WDCC a FUJI-test is performed for all new dataset collections which are assigned a DOI.Datasets are easier to find for the users when the corresponding metadata is machine-readable and a standardized vocabulary is used. The WDCC has implemented the schema.org standard, a machine-actionable metadata using JSON-LD format on the landing page of WDCC data publications. These embedded structured metadata in the landing page enhance interoperability across data catalogs and makes the data more discoverable. WDCC actively participated in the AtMoDat project (https://www.atmodat.de/) and has started to publish datasets following the ATMODAT standard and with the EASYDAB label. The ATMODAT standard specifies requirements for rich metadata with controlled vocabularies, structured landing pages (human- and machine-readable), and the format and structure of the data files. &amp;#160;References:Peters-von Gehlen, K., H&amp;#246;ck, H., Fast, A., Heydebreck, D., Lammert, A. and Thiemann, H., 2022. Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools. Data Science Journal, 21(1), p.7. DOI: http://doi.org/10.5334/dsj-2022-007
Index/Impressum: Vakuum in Forschung und Praxis 1/2023

Vakuum in Forschung und PraxisVolume 35, Issue 1 p. 51-51 Magazin Index/Impressum: Vakuum in Forschung und Praxis 1/2023 First published: 22 February 2023 https://doi.org/10.1002/vipr.202370107AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume35, Issue1February/March 2023Pages 51-51 RelatedInformation
An Intelligent Compound Prediction Model Based on WOA and ELM

Abstract In order to reduce the prediction error of Air Quality Index (AQI) by Extreme Learning Machine (ELM), an Intelligent Composite Prediction Model (ICPM) is proposed. ICPM uses an Improved Whale Optimization Algorithm (IWOA) to find the ELM parameters. IWOA introduces logarithmically varying nonlinear control factors and cosine varying adaptive weighting factors to balance local exploitation with global search capabilities. Prediction of AQI combined with daily historical data of air quality in Henan Province (2019), it is proved that ICPM has better prediction performance and generalization performance than ELM and other models.
The New Collective Signature Schemes Based on Two Hard Problems Using Schnorr's Signature Standard

Many types of digital signature schemes have been researched and published in recent years. In this paper, we propose two new types of collective signature schemes, namely i) the collective signature for several signing groups and ii) the collective signature for several individual signings and several signing groups. And then we used two difficult problems factoring and discrete logarithm to construct these schemes. To create a combination of these two difficult problems we use the prime module p with a special structure: p = Nn + 1 with n = rq, N is an even number, r and q are prime numbers of at least 512 bit. Schnorr’s digital signature scheme and the RSA key generation algorithm are used to construct related basic schemes such as the single signature scheme, the collective signature scheme, and the group signature scheme. The proposed collective signature schemes are built from these basic schemes. The correctness, security level and performance of the proposed schemes have also been presented in this paper.
Increasing the Coverage of Clarification Responses for a Cooking Assistant

In conversation genres like instruction, clarification questions asked by a user may either relate to the task at hand or to common-sense knowledge about the task domain, whereas most conversational agents focus on only one of these types. To learn more about the best approach and feasibility of integrating both types of questions, we experimented with different approaches for modelling and distinguishing between task-specific and common sense questions in the context of a cooking assistant. We subsequently integrated the best ones in a conversational agent, which we tested in a study with six users cooking a recipe. Even though the three elements functioned well on their own and all participants completed the recipe, question-answering accuracy was relatively low (66%). We conclude with a discussion of the aspects that need to be improved upon to cope with the diverse information need in task-based conversational agents.
A Load Aggregation Commercial Electricity Prediction Method Supporting User Privacy Protection

With the development of the power industry, the number of two-way interactive power consumption units continues to increase, and the burden of power distribution on the grid continues to increase. The load aggregator is located between the power grid and the power consumption unit, and represents a certain range of users to request power from the power grid, and then performs power distribution and real-time scheduling to users, reducing the burden on the power grid. To better respond to the demand of electricity consumers, machine learning is used in electricity forecasting. However, the training data comes from power users, which will involve privacy protection issues. To this end, this paper proposes a load aggregator power prediction method that supports user privacy protection. This method can take into account the influence of user-related fixed factors and time-related variable factors on power consumption. The load aggregator is the aggregator. There is no need for power users to share their own data, and the necessary model parameters are passed to the load aggregator only when needed, and it can still be carried out for some participants without labels. Finally, the proposed method is evaluated through experiments, and the results show that the method in this paper can effectively protect user privacy, and has a considerable accuracy compared with the existing machine learning methods that do not protect privacy.
Improvement of the quality of education, approaches, and methods for assessing the quality of educational services

The article reveals the theoretical aspect of the formation of prerequisites for improving the quality of education, approaches, methods, and criteria for assessing the quality of educational services. In preparing the article were used Russian and foreign scientific publications, international ratings of educational organizations. The analysis of the assessment of the quality of educational services in foreign countries allowed systematically considering the process of reforming the educational sphere, considering the needs of society and the requirements of state standards, identify urgent methodological problems and formulate proposals that determine the practical significance of the study. The article highlights the patterns of the potential development of students, touches on the issues of assessing the quality of educational services through state accreditation, audit, statistical reporting, and standardization of the quality of educational services. The article reveals methods to evaluate the quality of educational services used in Russia and abroad.
Upgrading Performance of Your Streaming Services Using Server Hints

A smooth playback behavior is critical for any OTT service. Viewers naturally like not to experience rebuffering events, but less frequent and shorter ones are preferred when they cannot be avoided. However, ensuring smoother playback becomes more challenging as more demanding services such as low-latency live and 4K streaming become more widely available. — It has been shown many times that adaptive streaming clients compete with each other for the available bandwidth and server capacity. The server's priority in responding to the individual requests sent by these clients should be based on clients' time-varying playback buffer conditions. Previously, we presented that the server could wisely allocate its output capacity among the incoming requests and largely mitigate the rebufferings suffered by the clients, provided that the clients informed the server about their buffer statuses using the Common Media Client Data (CMCD) standard. In a more recent study, we developed an alternative solution to the same problem using the Common Media Server Data (CMSD) standard, which is still a work-in-progress in the CTA. In this solution, the server's response to a request that indicated a sufficient buffer level was delayed until the requests that indicated an insufficient buffer level were handled. The server attached a new CMSD parameter to the eventual response disclosing how long the delay was. This parameter avoided misinterpretation and the subsequent incorrect decision by the client's rate-adaptation logic. Our experiments (for which we offer the source code) showed that the proposed CMSD parameter eliminated unnecessary rate-shifting to lower bitrates while reducing the rebuffering rate as well as the rebuffering duration. — This paper summarizes these findings and illustrates other envisioned use cases for the CMSD standard.
Interpersonal Communication Of Teacher - Deaf Students In Online Learning

In creating satisfying interactions, it requires interpersonal communication that goes both ways between teachers and deaf students in online learning. This study aims to find out how interpersonal communication occurs between deaf teachers and students in online learning which is studied using symbolic interaction theory in S Public Special Education School Bekasi Regency. This research used a qualitative research method by collecting data through interviews with twelve informants who were divided into key informants and supporting informants, namely six teachers and six deaf students of Public Special Education School Bekasi Regency with data analysis using ATLAS.ti software. The results show that there are three aspects of symbolic interaction in interpersonal communication carried out by deaf teachers and students in online learning, including 1) Mind, resulting in the theme of online learning situations, 2) Self, producing the theme of interaction with children, 3) Society, resulting in the theme of building interaction. These three aspects give rise to four categories, including technical barriers, non-technical barriers, interaction approach strategies, and providing support to children. This research can help provide information about interpersonal communication carried out by deaf teachers and students in online learning.
Supplemental Material: Cenozoic slip along the southern Sierra Nevada normal fault, California (USA): A long-lived stable western boundary of the Basin and Range

&lt;p&gt;File S1: Provides a description of (U-Th)/He analytical techniques and (U-Th)/He analytical results. Table S1: AHe analytical techniques and raw and reduced (U-Th[Sm]/He data results. &lt;/p&gt;
Breaking Captcha System with Minimal Exertion through Deep Learning: Real-time Risk Assessment on Indian Government Websites

Captchas are used to prevent computer bots from launching spam attacks and automatically extracting data available in the websites. The government websites mostly contain sensitive data related to citizens and assets of the country, and the vulnerability to its captcha systems raises a major security challenge. The proposed work focuses on the real-time captcha systems used by the government websites of India and identifies the risks level. To effectively analyze its captcha security, we concentrate on the problem from an attacker’s perspective. From the viewpoint of an attacker, building an effective solver to breach the captcha security system from scratch with limited feature engineering knowledge of text and image processing is a challenge. Neural network models are useful in automated feature extraction, and a simple model can be trained with a minimum number of manually annotated real captchas. Along with popular text captchas , government websites of India use text instructions –based captchas. We analyze an effective neural network pipeline for solving text captchas. The text instructions captchas are relatively new, and the work provides novel end-to-end neural network architectures to break different types of text instructions captchas . The proposed models achieve more than 80% accuracy and on a desktop GPU has a maximum inference speed of 1.063 seconds . The study comes up with an ecosystem and procedure to rate the overall risk of a captcha system used on a website. We observe that concerning the importance of available information on these government websites, the effort required to solve the captcha systems by an attacker is alarming.
Supplemental Material: Catastrophic craton destruction via wholesale lithosphere delamination

&lt;p&gt;Brief review of basaltic samples from the North China craton used in calculations, data filter procedure, and detailed calculation processes. &lt;/p&gt;
Visualization and creativity in the professional training of communication-oriented experts

The article is devoted to studying the application of visualization in teaching students the disciplines "Mass Communication Psychology", "Creative Design in Advertising and Public Relations" and training "Methods for Activating Creative Abilities" in preparing specialists in public relations, advertising, and media communications at Kazan (Volga Region) Federal University. The main purpose of this study is to introduce visualization as a methodological support tool in the educational process for forming a creative environment among students. The method of included observation in the educational process was used in the research, and examples of tasks for group and creative classroom work were developed. The results showed that most students use familiar, structural-logical schemes when visualizing the answer and rarely apply non-standard forms of information reflection. This served as a trigger for us to develop tasks and techniques stimulating figurative thinking in students. The data obtained can help in further study of the introduction of visualization in the educational process and lead to the revision or reformatting of curricula and an increase in creative assignments.
Ring-Rotor: A Novel Retractable Ring-Shaped Quadrotor With Aerial Grasping and Transportation Capability

This letter presents a novel and retractable ring-shaped quadrotor called Ring-Rotor that can adjust the vehicle's length and width simultaneously. Unlike other morphing quadrotors with high platform complexity and poor controllability, Ring-Rotor uses only one servo motor for morphing but reduces the largest dimension of the vehicle by approximately 31.4%. It can guarantee passibility while flying through small spaces in its compact form and energy saving in its standard form. Meanwhile, the vehicle breaks the cross configuration of general quadrotors with four arms connected to the central body and innovates a ring-shaped mechanical structure with spare central space. Based on this, an ingenious whole-body aerial grasping and transportation scheme is designed to carry various shapes of objects without the external manipulator mechanism. Moreover, we exploit a nonlinear model predictive control (NMPC) strategy that uses a time-variant physical parameter model to adapt to the quadrotor morphology. Above mentioned applications are performed in real-world experiments to demonstrate the system's high versatility.