Reviewerly/exHarmony huggingface dataset:
The CRL School in the European Education community and the modern classroom

In the Gulf of Corinth area in Central Greece, for about 30 years, a concerted effort is being performed to better understand the Geophysical processes (Earthquakes, Landslides, Tsunamis) that take place. It is one of the narrowest and fastest extending continental regions worldwide and has one of the highest seismicity rates in the Euro-Mediterranean region.The area is studied by research teams from all over Europe and a network, the Corinth Rift Laboratory (C.R.L.), has been established. Aiming to perform the most complete and thorough studies, many instruments have been installed (~70 Seismometers, Accelerometers, GNSS satellite receivers, etc.). The Corinth Rift Laboratory (CRL) is a Near Fault Observatory (NFO) within the European Plate Observing Systems (EPOS).Since 2016, every year, the "School of the Corinth Rift Laboratory" (CRL School), the educational component of this natural Observatory, is being held in the CRL area with the support of EGU &amp;#8211; GIFT, to educate Primary and Secondary Education Teachers and University Students in the &amp;#8216;real&amp;#8217; research issues.The aims of the school are to:Bring the Research/University community in contact with Primary and Secondary Education Teachers to enrich their knowledge, with an impact on the most efficient and targeted education and its dissemination to students. Intensify osmosis and collaboration between Teachers from different schools in European countries. Be next to the on-site research and related activities carried out in the scientific fields of Seismology, Geophysics, Geodesy, Tectonics and Geology for the physical laboratory of CRL. To inspire Teachers for new actions and for new activities and tasks that they can assign to students. To encourage them to participate in international scientific conferences in specific thematic areas in education (such as E.G.U.) During the C.R.L. School, School Teachers participate in activities as:Introduction to Seismology, Geophysics, Geodesy, Tectonics and Geology, focused on the Gulf of Corinth through lectures, hands-on and field trips by Researchers, University Professors, Academic students and Primary &amp;#8211;Secondary Education Teachers. Seismological, Geodetic and Geological measurements and visits to permanent operational stations. Hands-on for locating earthquakes in the Gulf of Corinth area using real waveform data. Operate and use special educational equipment for measuring and understanding seismic vibrations. Acquaintance with modern educational tools and methodology for the school classroom. Further analysis of measurements in student classes, in collaboration with C.R.L. partner schools and educators participating in C.R.L. and E.G.U.. Earth Observation with emphasis on ground deformation measurements from satellite microwave radars and its application to C.R.L., with presentations and in the laboratory. Geohazards with emphasis on seismic hazard and implications in technical Geology, as the Rio - Antirrio Bridge case. Teachers' participation is completely free with a grant from E.G.U..
Identifying the Role of Structures in the Mineralization of Shahr-e Babak Epithermal Gold Deposit: Implications for Epithermal Gold Exploration in East Kerman, Southeastern Iran

Epithermal base and precious veins are typically structurally controlled, and structures are fundamental to fluid flow and mineralization in hydrothermal deposits. In recent mineral explorations in east Kerman, especially in the northeast of the Shahr-e Babak area, it was found that structures play a key role in the mineralization of epithermal gold deposits. Shahr-e Babak epithermal gold deposit is located at 30&amp;#176;27'54.80'' N, 54&amp;#176;31'47'' E in the southeast of the Sanandaj Sirjan Zone, east of Kerman. The lithological outcrops of the Shahr-e Babak deposit area consist of Cretaceous felsic to mafic intrusive and extrusive rocks, Eocene micrite limestone and sandstone intruded by hornblende diorite, granodiorite, and microgranite stocks and dykes. Gold mineralization with an average grade of 1.5 g/t, is associated with anomalous Ag, Mo, Pb, and Sb and is usually concentrated in jasperoids with argillic and silicification alteration halos which are &lt; 120 m in length and average about 10 m in width within east-west trending structures.&amp;#160;&amp;#160;The Shahr-e Babak deposit area is located in a restraining bend of the Shahr-e Babak fault. There is a strike-slip duplex and E-W trending fault lens with an approximate 5&amp;#215;7 kilometers area related to the young movements of the Shahr-e Babak fault. For these reasons, the rocks in the deposit area have been ruptured and crushed which are not associated with extensive hydrothermal alterations. According to measurements, faults can be divided into three main groups. The first group is the main faults with 80&amp;#8211;90-degree trending, the second group consists of faults with 100&amp;#8211;120-degree trending and the last category is minor faults with NE-SW and NW-SE trending. A combination of field observations, measurements of faults and fractures, and drill core logging indicates that gold-bearing jasperoids are formed along strike-slip faults with a 100&amp;#8211;120-degree trend in lens-shaped fault zones that change in thickness with depth.&amp;#160;The recent discovery of the Shahr-e Babak epithermal gold deposit, located on a restraining bend of the Shahr-e Babak fault, highlights the exploration potential for epithermal gold mineralization in East Kerman. In addition, undiscoverable epithermal gold deposits may be hidden below the regionally extensive Quaternary cover.
Plasma-Sheet Bubble Identification Using Muitivariate Time Series Classification

Abstract: Plasma-sheet bubbles play a major role in the process of magnetotail particle injections. They are defined as fast flows with reduced plasma density or pressure accompanied by magnetic field dipolarization. Typically, we can detect these bubbles from in-situ observations, but subjective uncertainty needs human verification. In this study, we combine three different methods including MINImally RandOm Convolutional KErnel Transform (MINIROCKET), 1D and 2D convolution neural network (CNN) to identify bubbles. The imbalanced training dataset consists of bubble and non-bubble events with a ratio of 1:40 from year 2007 to 2020. The results indicate that the accuracy of the all three models is around 99%, and the precision and recall rates of all three models are above 80% in both the validation and test datasets. The three methods are combined with the intersection set as the minimum set of predictions and the union set as the maximum set. The methods greatly reduce the number of false positives. To identify bubbles in the observations of year 2021, our neural network model is found to be comparably good to the traditional criterial and manual inspections. Using joint machine learning forecasting methods, we can easily and automatically identify bubbles without a priori knowledge like a domain expert.Keywords: plasma-sheet bubble, multivariate time series classification, sample imbalanced, image identification
Assessment of thermal analysis techniques for determining organic, black, and inorganic carbon contents in urban soils

Although urban greenery is an important area for soil carbon (C) sequestration in national and international policies, there is a lack of studies on its unique soil C status. Especially the contribution of black carbon (BC) and inorganic carbon (IC), which originated from anthropogenic activities, need to be separated from ecosystem-driven organic carbon (OCeco) to accurately quantify the soil C sequestration in urban ecosystems. However, there is currently no standardized, widely used method to separate various forms of C in this soil. In this study, we suggested a robust and reliable method to discriminate the OCeco, BC, and IC contents and understand the anthropogenic effects on C in urban soils. To achieve this objective, we tested the accuracy of the &amp;#8220;EGA with peak deconvolution approach&amp;#8221; that derives a CO2 thermogram from an evolved CO2 gas analyzer (EGA) connected to a thermal analyzer and conducts sample-by-sample peak deconvolution. Since we used the model mixtures that had known OCeco, BC, and IC contents, the absolute accuracy of this approach could be tested. As a result, EGA with peak deconvolution approach showed high accuracy (R2 &gt; 0.90), and the regression lines between the known and measured values were close to the 1:1 line.Using the EGA with peak deconvolution approach, we further investigated the soils in urban greeneries. EGA with peak deconvolution approach was helpful in understanding the impacts of human intervention on the soil C cycle. Surrounding land use significantly altered the soil OCeco/TC and BC/TC but was not soil IC/TC; the OCeco/TC tended to increase with green area, while the BC/TC had a positive relationship with impervious area. The suggested method can be used to evaluate the C sequestration rate of SSM practices in the urban area. Without the information on OCeco and BC, the impacts of human intervention on soil C can be misinterpreted, which overestimates the C sequestration rate.
Open Science: How Open is Open?

Open science is transformative, removing barriers to sharing science and increasing reproducibility and transparency. The benefits of open science are maximized when its principles are incorporated throughout the research process, through working collaboratively with community members and sharing data, software, workflows, samples, and other aspects of scientific research openly where it can be reused, distributed, and reproduced. However, the paths toward Open Science are not always apparent, and there are many concepts, approaches, tools to learn along the way. &amp;#160;Open Science practices are along a continuum where researchers can make incremental adjustments to their research practices that may seem small but can have valuable benefits. Here we will share the first steps in a researcher&amp;#8217;s open science journey and how to lead your own research team in adopting Open Science practices.
ORGANIZATION OF LEARNING PROFESSIONALLY ORIENTED OLYMPIADS AMONG TEAMS OF FUTURE TEACHERS WITH DISTANT MENTORING

The organization of the educational process in the context of digital transformation of school education requires teachers to be ready to use digital resources.In order to achieve the tasks of modern pedagogical training, it is expedient to use existing practical mechanisms for students of pedagogical universities, including professional competitions and mentoring practices.The article considers professionally oriented team olympiads among students of pedagogical areas in the context of digital transformation of school education.Such olympiads can be educational in its nature and contribute to the development of digital skills and professional growth of future teachers in the conditions of distant mentoring.The authors of the article describe the experience of conducting the learning Olympiad in the pedagogical university digital environment.The article describes a support system that includes hints, remote support channels and aid from student assistants who have previously been trained in digital modules.The authors present competitive and reflective tasks, criteria for their evaluation, analysis of decisions and digital educational results.Within the framework of the learning Olympiad, the educational content of the manual "The Practice of Using Virtual and Augmented Reality Technologies in School Education: Projects of the Development of Digital Tours" was tested for teachers use in methodical training on conducting digital projects for school students.
Information theoretic perspective of physical layer security

Different perspectives have been formed on the security concept in communication technologies. As a result, academic researchers and experts in the field have developed many different approaches to data security. The dominant approach for data security has been cryptography for many years. However, recently physical layer security (PLS) research gathered enormous attention from the researchers. Even though mentioned approaches look quite different, they share the same fundamentals and philosophy. In this regard, this chapter first introduces readers to the history of security concepts in communication systems. Next, the information theory-based philosophy of secrecy is established. Finally, performance metrics that can be used to evaluate a security system are given to the readers. This chapter aims to explain the overall idea of PLS systems and form a handbook for researchers, engineers, and experts to consult in their research.
Research on Transmission Line Defect Detection Based on Adaptive Federated Learning

The existing deep learning transmission line detection technology with cloud computing is faced with problems such as slow response speed, high communication cost, and difficult to obtain data scattered, as well as the huge amount of data, which causes huge pressure on cloud storage capacity and processing capacity. This paper proposes a transmission line defect detection technology based on adaptive federated learning (FL). Its advantage is that data does not need to be uploaded and shared, which not only reduces communication costs, but also improves data security. In this paper, an adaptive algorithm is added to the original FL algorithm, which can adaptively change the data volume of the next round of training according to the training effect of each round and the local training energy consumption, so as to achieve the optimal number of communication between the two, which greatly reduces the Improve training speed and reduce communication costs. Through experimental analysis, the model training efficiency of the adaptive FL proposed in this paper is 70% higher than that of the centralized cloud computing, and the computing cost is saved by about 40%.
Keynotes: Information Hiding and Image Encryption with Chaotic Systems and Optimization

With the significant development and achievements in information technology, securely protecting crucial information and data from undesirable accesses has become an important problem in information science.Information hiding techniques can securely hide important information into digital media such as images, documents, videos etc.On the other hand, image encryption methods can encrypt an image such that its content cannot be seen or obtained by an adversary side.In this talk, I will present a new algorithmic framework for secure information hiding and image encryption.The framework utilizes chaotic systems for the encryption of information and develops objectives that can measure the security of hidden information or encrypted images.Objectives can be optimized with different optimization methods to significantly enhance the security of hidden information or encrypted images.In addition, I will present experimental results obtained with two algorithms developed based on the framework and discuss their advantages and disadvantages in practice.
Final Sample: Mitigating Acoustical Reflection &amp; Unwanted Noise, Guarding On-Set Virtual Production Dialog

While capturing in-camera visual effects (ICVFX) or ‘final pixel’ remains a primary goal of On-Set Virtual Production (OSVP), recording usable performance dialog that carries over to final sound mix or ‘final sample’ is its casualty. Production sound mixer/recordists, inexperienced and illsupported in this newly constructed, sonically hostile environment are left to trial and error. Compared with traditional production sound stages, the acoustical environment created within an LED volumetric stage is highly reflective and sensitive to unwanted noise. Automated Dialog Replacement (ADR) is a solution of last resort. ADR comes at great budgetary, logistics, and creative costs. Achieving zero-ADR (ZADR) is as creatively and economically valuable as is the goal of ‘final pixel.’ — This preliminary study demonstrated that today, with education, a sound mitigation specialist, specific mitigation equipment, and cooperative/collaborative inter-departmental communication, mitigation of reverberation and unwanted noise on a volumetric stage can be managed such that post-production sound editors can effectively process (‘clean’) the recorded tracks to serve in the final sound mix, significantly minimizing ADR usage. Early and consistent collaborative inclusion of sound mitigation professionals, future technologies, and interdepartmental training development and implementation will further reduce reverberation and noise, providing better results more quickly.
Library collection studies within the system of knowledge

The author analyzes the content of the monograph by Yury N. Stolyarov, prominent Russian library scientist and encyclopedist. The monograph “Library collection studies” reveals the ontological status of library collection and covers the history and the key subject scope and practical goals of library collection studies as an individual library discipline. In particular, the “document” scientific and practical category is examined as a fundamental to the library document studies and general documentology. The theory of library collection studies is in the focus of the monograph author who proceeds from the library collection key role and the assumption that any problem in the library studies is related to library collections. He applies special terminology to examine the place of library collection within the “Library” system, library collection attributes and characteristics, general provisions, principles and laws of the library collection theory, as well as information security and library collection system functions. The definition of the “library collection” concept is offered. Library scientists, bibliographers, book scientists, librarians of all types of libraries, faculty members in the system of library and information education, students, post-graduates, and the Russian bibliophilic community will make the readership of the monograph. It may contribute to the theoretical, methodological, and professional core knowledge in every library discipline.
Opinions, training and requirements regarding ICT of educators in Florence and Granada for students with functional diversity

Abstract Information and communication technology (ICT) is a means of learning for people with functional diversity (FD), in the context of both formal and non-formal education. These digital options favor their inclusion, participation and motivation, so having competent professionals in the field of educational technology is crucial for the full development of this population. Within this framework, the opinion, training and requirements regarding ICT of 809 educators in Florence (Italy) and Granada (Spain) were analyzed, following a quantitative study, with a non-experimental, descriptive, cross-sectional and comparative design. Descriptive statistics (mean, standard deviation and mode) and frequencies were used. After checking the normality of the data (Kolmogórov–Smirnov test), inferential analyses were performed, applying Student's t - test and one-factor ANOVA, calculating the effect size (Cohen’s d and eta squared). Statistically significant differences were found according to city of origin, gender, and years of experience with students with FD. The results point to the need for different educators to have sufficient technological training, as despite being aware of the functionalities of ICT and having a favorable opinion of them, resources and knowledge about their use fall short of what is desirable.
Strengthen Password Using Image Authentication

Authentication is by password It is alphanumeric in nature. However, the user finds it Difficulty remembering long passwords Remember many times while running. instead of this. They create short, simple and insecure passwords. User data vulnerable to external attacks. Graphically Passwords offer a way out of this dilemma Passwords that are easy for users to remember and use Passwords, more secure. With Graphical password, user clicks on image instead of typing it. A text password containing alphanumeric characters. A New, more secure graphical password system Developed using image segmentation. Picture A segmentation system presents images to the user Here the user selects some grid on that image. If These points, entered in the correct order, user. The result is an alphanumeric password and Both graphical passwords worked around the same time, Graphical passwords were easy to obtain and remember. [1]As such, graphical passwords have been found to be harder to crack They are newly implemented and don't have many algorithms Designed to break them.
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework

Current clinical routines rely more and more on "omics" data such as flow cytometry data from host and microbiota. Cohorts variability in addition to patients' heterogeneity and huge dimensions make it difficult to understand underlying structure of the data and decipher pathologies. Patients stratification and diagnostics from such complex data are extremely challenging. There is an acute need to develop novel statistical machine learning methods that are robust with respect to the data heterogeneity, efficient from the computational viewpoint, and can be understood by human experts.We propose a novel approach to stratify cell-based observations within a single probabilistic framework, i.e., to extract meaningful phenotypes from both patients and cells data simultaneously. We define this problem as a double clustering problem that we tackle with the proposed approach. Our method is a practical extension of the Latent Dirichlet Allocation and is used for the Double Clustering task (LDA-DC). We first validate the method on artificial datasets, then we apply our method to two real problems of patients stratification based on cytometry and microbiota data. We observe that the LDA-DC returns clusters of patients and also clusters of cells related to patients' conditions. We also construct a graphical representation of the results that can be easily understood by humans and are, therefore, of a big help for experts involved in pre-clinical research.
Fast mosaicing method based on image resizing pre-processing

In recent years, mosaic images have found great success thanks to the increasing development in the field of imaging as well as the technological evolution of computer systems (camera, mobile, etc.). Mosaic images are obtained by merging several images of the same scene. The process incorporates several steps, each of which requires resources and execution time depending on the size, quality and resolution of the images used. In this paper, we propose a new image mosaic method that significantly reduces the execution time. The idea is to apply the stages of registration and search for the best inliers, necessary for the calculation of the geometric transformation, to the miniature of images. This allows the minimization of the overall processing time without altering the quality of the results. The experiment, on a database of images, shows that the proposed algorithm provides rapid results compared to similar methods. Also, we have extended our method to generate 360° panoramic images.