Reviewerly/exHarmony huggingface dataset:
CIVIL LEGAL PROTECTION OF TRADEMARKS IN THE DIGITAL ERA

The role of online trading is gradually increasing in our lives. Expanding the capabilities of the Internet network allows you to trade in other countries. At the same time, the issue of consumer protection remains unsettled. In some cases, they are unaware that they are purchasing counterfeit products. This, in turn, provides an opportunity for unscrupulous online merchants to gain unjust enrichment. These facts are discussed in detail in this article from a scientific point of view, which is based on past court decisions.
Key-Cipher-Policy based ABE with Efficient Encryption of Multimedia Data at Data Centers of Cloud

Cloud computing is relatively one among the new technologies that is attracting moreclients to adopt cloud storage for easy and convenient online data storage and sharing. Because of its efficient computations, it has attracted the attention of both industry and academia. Companies began outsourcing confidential data to cloud service data centres. These data storage applications have security concerns about data confidentiality and privacy. When data is moved to the cloud, the customer loses control of the data and must rely on the cloud service provider. To protect their data, clients must first guarantee that it is encrypted. Encryption is a promising method for keeping data private in the cloud. ABE is a potential technique for dealing with security challenges in data center cloud storage. The key benefit is that it allows flexible one-to-many encryption. We present a model termed key-Cipher-policy-based ABE in this study. It allows optimized and more secure access to data stored at the data centers of cloud. with optimized encryption and less encryption time.
Constructing New Collective Signature Schemes Base on Two Hard Problems Factoring and Discrete Logarithm

In network security, digital signatures are considered a basic component to developing digital authentication systems. These systems secure Internet transactions such as e-commerce, e-government, ebanking, and so on. Many digital signature schemes have been researched and published for this purpose. 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 = 2n +1. Schnorr's digital signature scheme is 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 proposed signature scheme is easy to deploy on existing PKI systems. It can support PKIs in generating and providing a unique public key, a unique digital signature, and a unique digital certificate for a collective of many members. This is essential for many collective transactions on today's Internet.
MATLAB/Simulink Based Instantaneous Solar Radiation Modeling, Validation and Performance Analysis of Fixed and Tracking Surfaces for the Climatic Conditions of Lahore City, Pakistan

Mathematical modeling, simulation and experimental validation of instantaneous solar radiation is conducted in this article. The input parameters of the developed model are solar constant, latitude &amp; longitude of the selected site, collector surface azimuth and elevation angle. The whole model is developed in MATLAB/Simulink and plots global radiation for any selected day of the year. To validate the model, actual data from RETScreen (energy management software) is taken and compared with the predicted data from developed model. During the whole year the predicted specific insolation is 226.65 MJ/m2/day and actual is 202.14 MJ/m2/day. The percentage error of the predicted data is 10.8% higher than the actual data. The validated model is used to calculate the monthly received solar radiation energy for the fixed surface and tracking surface. The yearly harvested solar energy by horizontal, yearly and monthly optimal tilt surfaces are 6828 MJ/m2, 7405 MJ/m2 and 7761 MJ/m2 respectively. Yearly insolation gain of the yearly optimal tilt and monthly optimal tilt collector surface is 8% and 14% as compared to the energy harvested by horizontal surface. For the single and dual axis tracking surfaces, yearly harvested energy is 8843 MJ/m2 and 9374 MJ/m2 respectively and this figure is 30% and 37% more as compared to the horizontal surface. If the insolation received by yearly optimal tilt is considered as reference value, then energy gain for monthly tilt, single and dual axis tracking is recorded as 5%, 19% and 27% respectively
A Symmetric Key-Based Cryptographic Transaction on Cryptocurrency Data

Cryptocurrency data communications are very demanding issues in current high-speed online currency transactions.Here, a key-based AES (Advanced Encryption Standard) encryption-decryption algorithm is used to impose more security levels on cryptocurrency data communications.For this, the sender first creates a key and sends it to the intended receiver through a secured and trusted channel.Then by that key one can easily encrypt the cryptocurrency data using the AES encryption algorithm and produced the ciphertext and then send it to the destination.On the receiver's end, the decryption process of AES is performed by using the same shared secret key that retrieved the plaintext from the received ciphertext.The security of the proposed process depends on the shared secret key and the algorithm AES and it can be applied for any financial data transactions securely.This can be used in all kinds of cryptocurrency data communication with a higher level of security.
The Simulation of Covid-19 Droplet Transmission with Hamiltonian Monte Carlo Method

&lt;p class="AbstractText"&gt;Corona Virus 2019 (COVID-19) pandemic has impacted every sector in the world. This virus spread through the droplet and infected healthy people. The typical of virus transmission is through droplets from coughing and sneezing. This study developed a simulation to model a virus spread just after the infected was coughed or sneezed. In the simulation, humidity, wind velocity, and temperature were considered. The simulation was conducted with Hamiltonian Monte Carlo, where was set a random initial velocity and angle for every 200 droplets with 500 iterations of each. The transmission data was derived from three groups: the age of 15 to 30 years old, 31 to 50 years old, 51 to 68 years old. At the age of 12 to 30 years, the droplet range and height were 3.13 meters and -0.77 meters. At the age of 31 to 50 years old, the droplet range and height were 3.22 meters and -0.83 meters. At the age of 51 to 68, the droplets range and height were 2.82 meters and -0.58 meters. The highest droplet range was from the age of 31 to 50 years old. Therefore, the age of 31 to 50 years old or the productive age was considerable with the highest risk in the droplet transmission and virus spread. This study can be adopted to consider the effective prevention in controlling the virus outbreaks.&lt;/p&gt;
THE IMPLEMENTATION OF LANGUAGE TOLERANCE RULES IN INDONESIAN LANGUAGE AND LITERATURE LEARNINGAS CHARACTER EDUCATION REPRESENTATION

Students character-building needs continuous coaching and mentoring to make it finally embedded within the students souls. The character is eventually expected to be a culture in interacting with society. It cannot be separated from the orientation shift of the national character as the impact of the rapid development of information and communication technology. In the interpersonal interaction with various social dimension differences, language tolerance rules are needed to actualize agreement and understanding of the information delivered. There is no need to worry about the emergence of language forms however, the important thing is how to manage them according to the convention. In the learning context, language tolerance rules become essential in teaching the students about language ethics and character building. This article aimed at describing the implementation of language tolerance rules in the learning process, covering the actualization and speech strategies of language tolerance. The result of this study was obtained through the pragmatic approach. The data were collected using observation and analyzed interactively through some stages, including identification and classification, interpretation, and data synthesis. The results of this study indicated that the representations of The implementation forms in this article are regards, greetings, joking, explaining, interrogative, interjection, and reinforcement speeches. The implementation of language tolerance rules in this learning can be used to build the character of the speech participants. Meanwhile, the implementation strategy is carried out with phatic strategies, joking, repetition, and focusing.
Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks

We prove linear convergence of gradient descent to a global minimum for the training of deep residual networks with constant layer width and smooth activation function. We further show that the trained weights, as a function of the layer index, admits a scaling limit which is H\"older continuous as the depth of the network tends to infinity. The proofs are based on non-asymptotic estimates of the loss function and of norms of the network weights along the gradient descent path. We illustrate the relevance of our theoretical results to practical settings using detailed numerical experiments on supervised learning problems.
Design and Build Minang Music Applications Based on Android

Minang music applications are rarely found in the play store. As for some regional music applications that already exist but have many shortcomings such as not having lyrics and some have no features other than playing songs. Based on the data collection, a music application was created which aims to create an application that is not only a music player but also has other features such as viewing lyrics, adjusting the equalizer, having a sleep time feature and a search feature. Minang music application is designed using the waterfall method. The waterfall method is carried out through a systematic approach. Starting from the system requirements stage then to the analysis, design, coding and testing stages. The first aspect is to conduct interview sessions with related communities that are faced when they want to listen to music. In addition, interviews were also conducted regarding what features the community wanted. The second aspect is to compare the existing application with the application to be designed. Later, the application designed to be the right choice by users because it provides various features that are not found in other music player applications, especially for regional music applications. Then proceed with the design of the application which will be made using the android studio software. The resulting application is expected to become a popular application among users because this application is the latest application with complete features. The developed application can also be run when it is online or offline.
A New Look at Space

Among all the fundamental categories of physics, space is the dominant place, for everything that exists as a physical reality. Until the end of the 19th century the prevailing consensus was that there was a continuous “environment” called “ether” that fills all space, but completely intangible for humans. After the experiments of Michelson and Morley and describing the principles of Einstein’s Special Theory of Relativity, the concept of “ether” was completely discarded from science. It was recognized, that electromagnetic waves propagate in an absolute vacuum. With the advent of the General Theory of Relativity and quantum mechanics, the need to recognize the presence of a certain "medium" filling space reappeared. Such concepts as “physical field”, “physical vacuum”, scalar field (Higgs field) and others were proposed. The author in this article proposes the concept according to which space-time is considered as the physical system that consists of physical substrate and presents itself as an “absolute physical reality”.
Introduction of experiment examining the relationship between human and robot at automobile manufacturing

At present, the most of workplaces such as manufacturing and/or construction sites in Japan are in the form of cooperation work with man-machine collaboration. Safety management system so far has been built aiming for "safe workplace without accidents" but focus of perspectives in the present is moving to direction of "safety, happiness, and health", in other words, well-being of workers. Well-being of worker is getting gradually to be recognized as responsibility in worksites, like advocated by Sustainable Development Goals (SDGs). The concept of well-being is started to be applied to manufacturing and/or construction sites so on. In the present session, the relationship between work styles and well-being in man-machine collaborative working sites was examined. In the present presentation, we propose objective and quantitative method of evaluation of desirable working environment for future including well-being of workers as our challenge.
Research On A Data-Aware RPC Method For Improving Storage Performance Of Big Data System

Hadoop Remote Procedure Call (RPC) is increasingly used in many data centers of known technology companies such as Facebook and Yahoo together with other data center middleware centers like MapReduce, HDFS and Hbase.
Randomness of the Gaussian variable and vectors

Stochastic process is developing vigorously both in theory and application. Its basic knowledge and methods are not only necessary for mathematics and probability statistics majors, but also for applications and research in fields such as communication, control, biology, social science, engineering technology, and economy. For example, the splitting of atoms, the decay of radioactivity; the processing of audio and video signals, the ups and downs of the stock market; the growth of biological populations, and the spread of infectious diseases are all closely related to stochastic process. Stochastic process studies how random variables change with time parameters. In the study of stochastic process, people describe the internal laws of necessity through the appearance of contingency, and describe these laws in the form of probability to realize necessity from the contingency. Probability is a subject of uncertain phenomena, which reveals the manifestation of internal laws contained in accidental phenomena and plays an important role in people's understanding of natural and social phenomena. This paper mainly introduces the definition and theorem proof of Gaussian variable and Gaussian vector for the purpose of taking investigation of Brownian motion in the future.
Cloud-based face recognition for low resource clients

Face recognition–based applications are very state-of-the art methods for verification and authentication. However, many solutions are desktop-based and require very high computational machines. In this chapter, we propose a cloud-based framework for face recognition that provides central control for feature database. The framework easily swaps computational processes to the client if needed or requested. The client’s machines request and respond to the feature databases using APIs that are designed using FLASK. The use of feature database makes program initialization very fast and also reliable in the case of any disaster to the client sites.
Creating the right environment for tackling disinformation in the classroom

Teacher’s Social Media Profile as Seen by Participants of Educational Relations A. Adaskina, I. Voronkova .............................................................................................................. Media-Communicative Occupational Guidance Based on the Platform of Online Game N. Anashkina, M. Shmatko, S. Anashkina …………………………………………………………………...….. Importance of Media Literacy for Political Communication in Russia: A Case of Student Community I. Bykov, M. Medvedeva ………………………………………………………………………………………………..… Russian Topic on Euronews and Media Manipulations A. Fedorov ……………………………………………………………………………………………………………………… Media Competence of Modern Students: Problems and Possibilities of Its Formation in the System of Higher Education E. Frolova, O. Rogach ……………………………………………………………………………………………………… A Course in Argumentation in Journalism in the Master’s Curriculum: Using Russian Popular Science Magazines as Case Studies V. Golubev, A. Teplyashina, E. Abramova, I. Ibragimov ……………………………………………………… COVID-19 Pandemic and Lockdown on Education: Proposing an ‘e-Pedagogy on the Go’ System as an Alternative e-Teaching and Learning Platform During and in the Post-Pandemic Era A.M. Ibrahim, S. Uba, A.M. Abubakar ………………………………………………………………………………. Media Crowdsourcing and Media Crowdfunding in the Digital Environment and Media Education Practices T. Kaminskaya, O. Erokhina ……………………………………………………………………………………………. Diasporic Identities and their Representation through Cinema: An Analysis of Diasporic Film through South Asian Cinemas S. Kayal, R. Saha …………………………………………………………………………………………………………….. Media Manipulation in the Modern French and Swiss Press A. Levitskaya ……………………………………………………………………………………………………………… Media Space as a Regulator of the Global Transformation of Communicative Interaction A. Shuneyko, O. Chibisova ………………………………………………………………………………………………. Analysis of Media Manipulation Influences as a Way to Develop Media Competence of Future Teachers (On COVID-19 Media Texts) M. Tselykh, A. Levitskaya ……………………………………………………………………………………………… Usage of Media Products by Teachers: Pedagogical Potential, Expertise and Implementation Yu. Tyunnikov, M. Maznichenko, I. Kazakov, Y. Yurchenko ……………………………………………… Cherkessk – Moscow – Hollywood – and Moscow Again... I. Dzhendubaev …………………………………………………………………………………………………………….. Why the Film In August 1944th (Moment of Truth), Filmed in 1975, Was Not Released On the Screen B. Krishtul ……………………………………………………………………………………………………………………
Clustering

This chapter considers the unsupervised learning task known as clustering, which consists in grouping unlabeled datapoints based on some similarity information. The single-linkage algorithm is examined first. Then, the Lloyd algorithm is presented to illustrate the center-based clustering strategy. Finally, the problem of detecting two communities via spectral clustering is analyzed under the stochastic block model.
Blockchain Database Applications in UIC at Kern County

Abstract Kern County has a population of 900,000 and has been ranked as one of the nation's most productive in both agriculture and petroleum generation. The petroleum industry often requires the injection of water, gas, or other fluids to enhance oil recovery. The possibility of underground water contamination can be of concern in this region where petroleum operations occur alongside drinking water extraction processes. Kern County's petroleum production plays a vital economic role on both a local and national level. Similarly, underground aquifers contain uncontaminated water that is a significant source of municipal drinking water and supply to large-scale agriculture operations. Due to this adjacency, both industry and regulatory agencies closely scrutinize operations to ensure human and environmental health. The blockchain is a developing peer-to-peer network technology for securely distributing and storing data. A blockchain network consists of several peers, each capable of creating blocks and validating blocks, each with an identical copy of the current blockchain. These blocks consist of transactions, or any type of data record, that have been submitted to the network for validation. Once enough transactions have been submitted, they are bundled into a block which is hashed with the hash of the previous block to create a unique identifier. The regulatory agencies will not be able to make changes except review and approve the project. The block and identifier are then transmitted to every other peer on the network. If the identifier is found to be valid, meaning that the data stored in the sending peer's blockchain has not been altered, the block is added to the receiving peer's local copy. This allows the blockchain to act as immutable ledger, making it an excellent choice for distributing data while maintaining its integrity. Therefore, we can use this secure blockchain network for the underground injection control (UIC) process. We have successfully built a prototype blockchain database and implement an underground injection control (UIC) project in the database. The East Shallow Oil Zone (ESOZ) Fault Block 7A is used for the field case study. All requested documents in the project #22800007 input as the Well Summary GUI and the Regulatory GUI pages for the project review and approval.
Further Applications of Corpus Research

This chapter picks up a range of applications of corpus linguistics that have not been covered in Chapters 6 and 7. These are: applications of bilingual corpora in contrastive linguistics and translation; forensic linguistics, with a particular focus on authorship; the automatic extraction of information or opinion; the identification of ‘fake news’; and the various topics discussed under the head of sociolinguistics. In most cases the work described here uses the methods discussed in earlier chapters, both quantitative and qualitative. Quantitative techniques are particularly important in sociolinguistics, where the differential frequencies of items used by different social groups are important. In addition, applications such as information mining or sentiment analysis stray into computational linguistics and natural language processing, and illustrate both the common ground and the disparities between these approaches and corpus linguistics.
Learning to Learn: The importance of embracing desirable difficulties

When my children were young and wanted to play in the AYSO soccer league, I decided to train to be a referee. I took all the required classes, studied hard, and passed the written certification exam. At my first match, dressed in my uniform, I strode into the middle of the field with the players all gathered around—and suddenly realized I couldn’t recall how to start the game.
Predicting GRE score range using TOEFL score based on Bayes' theorem

Using Bayes Theorem and the conditional probability knowledge, this paper provides a method to predict a student’s GRE Score range based on his/her TOEFL Score. To locate the specific GRE range, a data set of 500 undergraduate students who have taken GRE and TOEFL exams is used as the statistics. This paper also borrows the statistics from the official website as the prior probabilities. The result shows that not only is there a positive relationship between the scores of the two exams, polarization also occurs regarding the two standardized exams scores. However, since the data set is retrieved from only one single spot, the reliability and universality are yet to be tested. A combination of more data sets obtained from different sites may help improve the prediction accuracy.