Reviewerly/exHarmony huggingface dataset:
Geophysical Investigation for Detecting the Groundwater Occurrence along Qift ElQuseir Road, Eastern Desert, Egypt

Surface geophysical survey was performed along Qift EL-Quseir Road between the Red Sea coast at the east and Qift town at the River Nile westward, Central Eastern Desert, Egypt, to delineate its groundwater situation.The groundwater in this hyper-arid area has a precious value for the different development objectives.The study area is characterized by presence of several aquifers (fracture basement, Nakheil formation, Nubian sandstone and Quaternary aquifers).These aquifers represent the main source of groundwater that used in tourist activities, mining and agriculture projects.The integration between surface geophysical techniques (land magnetic profiles, vertical electrical soundings (VES's) and electric resistance tomography), cover all gaps in study area.These surveys determine the horizontal and vertical extensions of the lithological succession, estimate the aquifers dimensions, the depth to water, the water level, estimate the characteristics of the water bearing formations, detect the basement relief, geological structures that affect the groundwater occurrences, locate the best sites for drilling productive water wells and finally Assess the groundwater potentialities in the study area.From this geophysical study, it can be mentioned that the promising sites for digging new productive water wells are, the delta of Fawakheir-Mathula basin, the Nubian sandstone plateau area (between km 15 to km 65 East the Nile), localities of El Sid and the downstream portion of W.Um Slimat, location of the delta of Abu Zeran-Ambagi basin (between km 2 to km9 from the Red Sea coast) and the downstream of W.El Nakheil sub-basin.Some exploratory drilling wells can be recommended in downstream portions of W.Kareem, El Beida area, W.Hamad and El Sheikh Abd Al'al region.
Sistem Pendukung Keputusan Prediksi Harga Rumah Kost untuk Mahasiswa IT Telkom Purwokerto Menggunakan Metode Fuzzy Tsukamoto Berbasis Web

Purwokerto City is a developing city located in the southwestern part of Central Java Province. Purwokerto is known as thecity of students in Central Java. It is not wrong if many newcomers choose to continue their studies at the favoriteuniversities in this city. One of the universities in this city is the Telkom Purwokerto Institute of Technology. With so manynewcomers who want to continue their studies in this city. Of course, you need a place to live like a boarding house. Eachboarding house has different facilities and also has varying prices, making it difficult for newcomers to choose the boardinghouse. So a decision support system is needed to help students of the Telkom Purwokerto Institute of Technology to make theright decision in predicting the price of a boarding house when choosing a boarding house according to the existing criteriaand funds using the Fuzzy Tsukamoto method.
THE PROFESIONALISM OF TEACHER TEACHJNG AFFECTS STUDENTSLEARNING OUTCOME OF GIFTEDNEES AND READING ENGLISHLEARNING IN SENIOR HIGH SCHOOL WEST JAKARTA

Learning Outcome ( A Field Research at SMA Duta Bangsa West Jakarta). This research is designed to analyze The Profesionalism Of Learning Teacher Affect Students Learning Out come of English Language Senior High School West Jakarta, A Field Research SMAN West Jakarta. The Hypothesis tested are: 1. There is a positif direct effect of the professionalism of teaching teacher ( ) to Students English Language Learning Result (Y). 2. How Much the effect of the professionalism of teaching teacher toward to Students Result of reading English Language In Senior High School West Jakarta. A Field Research SMAN Duta Bangsa West Jakarta. This Study is a Survey: Where as the target population is all of the Second Year Students of the Public Senior Hight School in Westh Jakarta for the Academic year of 2015/2016 namely : SMA Duta Bangsa, and the Sample was taken by using random Sampling. The research was carried out from Oktober to Nopember. Encodes on Teachers Professionalism was obtained Through the instruments Handed out, Where as the data on Learning Results were obtained through Learning outcome test. The Obtained Encodes were tested with statistical analysis and biserial consist of correlation analysis, regression analysis and bi-serial regression analysis. The significance ratio was determined, as much as 5 percent (0,05).The result of this research are as Follows: 1. There is a positive direct the effect, the the professionalism of teaching teacher ( ) to the students reading English language learning result (Y), represented by the regression equation Y = 44,00 + X_1 which means that with every change of the constants 44,00 score of the profesionalism Of teaching teachers will affect the score of -0,1589 or 15,89% classroom learning outcomes of students VIII SMA Duta Bangsa in West Jakarta. Constanta value ÃŽÂ² =44,00 indicates that, if the profesionalism teacher is ignored, then the result of reading learning language Students Is = 44,00. R_2 value= 0.1589 indicates that the profesionalism teacher affects 0,1589 or 15,89%, students reading learning English out come of graders XI SMA Duta Bangsa in West Jakarta, and the rest influenced by other factors. The result of this study is expected to be useful in improving of reading English learning result for the students of SMA Duta Bangsa through the activity of improving the Teachers professionalism such as evaluating teachers work, Carrying but, training such as, evaluating teachers work, carrying out training for Teachers and students and improving extra curriculum activities. 2. There is a positive direct impact, the professionalism of teaching teacher (XÃ‚Â¹) on students result (Y), the coefficient value PÃ‚Â²Ã‚Â¹= 44,00, because the value of the P-Value 0.158 significant at a =0.05, then Ho is rejected, which means significantly there is a positive direct effect, of the professionalism teaching teacher (XÃ‚Â¹) on student result (Y).
Cad and Function Analysis and Application of 3DMAX Software

At present, China has successfully realized the extensive application of virtual reality-related technologies in various related industries by using 3DMAX and other software, which has provided a boost to the technological development and progress of various related industries in China. Because 3DMAX virtual software itself is an application way of 3D virtual presentation of reality information, the 3D virtual reality application environment is designed and built based on 3DMAX software which can present the basic information and functional features of the real environment in a wide angle. The main purpose of this paper is to better demonstrate different application development directions and improve the application development efficiency by studying and analyzing the application functions and development applications of computer 3D structure-aided design and 3DMAX development software. In this paper, through long-term experimental research, the comprehensive application of 3D technology-assisted design and 3DMAX virtual software in the application of virtual mixed reality technology has been thoroughly verified. The results show that with the help of 3DMAX virtual software, the calculation error accuracy of virtual mixed reality 3D technology is close to 0.2. Finally, starting from the current situation of the practical application of CAD software, this paper expounds the practical application of CAD software in engineering machinery design from three main aspects in detail, in order to provide a new research perspective for other experts and scholars.
Development of Niederriter crypto-code design models on LDPC-codes

The development of mobile technologies and computing resources has expanded the range of digital services and practically outstripped the development of computer technologies. This approach ensures the use of mobile and wireless networks in almost all areas of smart technologies, provides a further synthesis of cyberspace and the mobile Internet. However, the absence of security service protocols: confidentiality and integrity, initially when they are formed in the structure of LTE technologies, provides cyber attackers with the opportunity to use mobile Internet channels to implement targeted (APT) attacks. The development and emergence of a full-scale quantum computer with Shor and Grover algorithms can lead to a sharp decrease in the level of security of cryptosystems based on symmetric and asymmetric cryptography (including cryptography on elliptic curves). In addition, modern cyber threats have signs of synergy and hybridity, and their integration with social engineering methods practically does not allow providing the required level of preventive measures (protection). The article proposes post-quantum cryptosystems based on the Niederreiter crypto-code construction on low-density parity-check codes (LDPC-codes). This approach makes it easy to integrate into wireless networks based on IEEE 802.16 and IEEE 802.15.4 standards, as well as LTE mobile technologies. At the same time, the required level of resistance to modern threats ensured.
Multi-Ontology Mapping for Internet of Things (MOMI)

An ontology is a set of structural rules that represent concepts of a domain, which can be used to perform logic-based operations for retrieving or inferring new information. Ontologies have with them the knowledge of a particular domain expressed in the form of relational triples (subject, object, predicate). Several rules are expressed within the ontologies that define how the concepts in the domain are related. Rules are often expressed as a triple in the following format (concept, relation, concept). Often, in complex domains, such as smart city or smart home, there are several domains (and hence several ontologies) at play in parallel, hence requiring reasoning/intelligence across several domains and ontologies. Interoperability of information is necessary to find effective ways to align different ontologies. As the number of ontologies grows for a given domain, and as an overlap between ontologies grows proportionally, hence, there is a need to develop accurate and reliable techniques to perform this task automatically. Mapping concepts across ontologies can be challenging considering that there are fundamental differences in the syntax, structure and properties. Extraction of semantic interconnection between the ontologies is the key challenge for extending the knowledge base across ontologies and potentially across related domains. We propose to use a two-system representation learning network of a generator and discriminator for the case of ontology mapping. The generator uses a softmax classifier on the concepts and relations across ontologies to produce triples. It also uses concept embeddings on each of the ontology’s properties such as (1) name, (2) label, (3) comments, (4) properties, (5) instance descriptions, (6) concept attributes and (7) the neighborhood of nearby concepts. The discriminator network uses a convolution neural network with relation attention mechanism augmented by the concept descriptions for asserting the claims the generator has produced. Both the systems are in a feedback cycle to learn from each other. The output of the system will be a collection of triples that enumerate all the related concepts across ontologies. These triples will be subject to scrutiny out of band by domain experts to allow only valid concepts and triples to be selected into the alignment. The aligned ontology allows extensive querying and inference across related ontologies and domains more expressively than using the ontologies in isolation.
The "Self- concept" of students: Scientific bases and features of research

Modern psychological and pedagogical research of professional training of Pedagogy and psychology students is gaining its relevance in scientific research, especially in the field of the "Self-concept". This study aims to study the problem of diagnosis and description of the "Self-concept" of future specialists of educational psychologists of Bachelor degree students in the Republic of Kazakhstan. The sample consisted of 132 students of the specialty "Pedagogy and psychology" of the Pavlodar state pedagogical University and S. Toraigyrov Pavlodar state University, who were men and women aged 17 to 25 years, without work experience. Based on the results obtained, hypothesis of existence of relationship between the "Self-concept" and professional training of future specialists was confirmed.&#x0D; &#x0D; &#x0D; Keywords: "Self-concept", professional training, student, personality, future specialist.
Security and Privacy

Federated learning allows data to be locally trained in their device and only send model updates to the central server for aggregation. But the security of model updates in the aggregation should also be carefully addressed. Existing works mainly focus on secure multiparty computation or differential privacy, which depends on heavy encryption or brings low accuracy. In this chapter, we discuss an efficient secure aggregation method for model updates in federated learning by pre-processing the model updates from each participant and only encrypting portion of the processed updates by functional encryption for inner product to protect the whole parameters, thus achieving efficient aggregation of model update vectors.
IMPLEMENTATION OF THE SYMMETRICAL ENCRYPTION STANDARD DES USING C PROGRAMMING LANGUAGE AND COMPARISON ITS EXECUTION TIME WITH OTHER UTILITIES

This research dedicated to the review, implementation and analysis of the symmetric encryption algorithm, namely - DES (Data Encryption Standard) that encrypts and decrypts text information. For this algorithm represented not only a verbal description, but also schemes of its execution and examples of implementation. Intermediate results and the results of information encryption / decryption in the implemented algorithm were verified using examples, so we can assume that the algorithm implemented correctly. Comparison of the execution time for the DES algorithm proposed implementation made for two utilities. One of them is OpenSSL, developed using assembler and the capabilities of the C programming language. The other utility developed using programming language Java. The comparison was made according to three criteria: full time from the utility execution start to its completion; the time spent by the process to execute the utility (downtime and time when the processor perform other tasks not accounted); the time taken by the operating system to run a utility, such as reading or writing the file. The analysis showed that the total execution time is not equal to the total amount of time spent by both the processor and the operating system to execute the utilities. This is due to the following: the total execution time is the real time spent on the execution of the utility; it can measure with a stopwatch. Whereas the time spent by the processor to execute the utility is measured somewhat differently: if two cores execute the same utility for 1 second, the total execution time will be 2 seconds, although in fact one second of time has passed. From the comparison follows the next conclusion: the time spent on encryption is less than the time spent on decryption. The execution time for different utilities is different: the time for OpenSSL utility turned out to be the best, because such an implementation is most adapted to the hardware. The utility in Java turned out to be the worst in terms of execution time. We propose the implementation of the DES algorithm of the nearest execution time to the fastest of the considered. Because a number of hacking possibilities have been found for the symmetric encryption standard DES, in particular due to the small number of possible keys, there is a risk of overriding them. Therefore, to increase crypto currency, other versions of this algorithm have been developed: double DES (2DES), triple DES (3DES), DESX, G-DES. In the future, it is planned to develop a utility based on our proposed implementation of the DES algorithm and to demonstrate the operation of its modifications.
Multi-Attention Network for Arbitrary Style Transfer

Arbitrary style transfer task is to synthesize a new image with the content of an image and the style of another image. With the development of deep learning, the effect and efficiency of arbitrary style transfer have been greatly improved. Although the existing methods have made good progress, there are still limitations in the preservation of salient content structure and detailed style patterns. In this paper, we propose Multi-Attention Network for Arbitrary Style Transfer (MANet). In details, we utilize the multi-attention mechanism to extract the salient structure of the content image and the detailed texture of the style image, and transfer the rich style patterns in the art works into the content image. Moreover, we design a novel attention loss to preserve the significant information of the content. The experimental results show that our model can efficiently generate more high-quality stylized images than those generated by the state-of-the-art (SOTA) methods.
Analysis of the Current Secondary History Textbook Descriptions of Women’s History in the Joseon Dynasty Based on the 2015 Revised National Curriculum

This paper presents an analysis of content in the descriptions of women’s history throughout Joseon in 16 Korean History textbooks for secondary school under the Revised Curriculum of 2015. The Korean History textbooks under the Revised Curriculum of 2015 are characterized by an emphasis on premodern history in the middle school textbooks and the increased proportion of modern and present history to 3/4 in the high school textbooks. As a result, the former had the descriptions of women appear first in the history of Joseon, whereas the latter saw a considerable reduction of women’s descriptions. Reflecting the new curriculum, the middle school textbooks focused on family-related content just like the old high school textbooks but presented a new viewpoint at a detailed level. They, for instance, stated a fact that second sons and sons younger than them were also discriminated in the inheritance of property, described by the latest research findings that women found their identity as a daughter-in-law with their weaker right as a daughter in some cases during the latter part of Joseon, and recorded that women enjoyed an active literacy life with Hangul by introducing Eumsikdimibang by Jang Gye-hyang for the first time. These textbooks, however, still omitted women’s roles in the fields of labor and economy and introduced no female characters. The content of a textbook is not the sole responsibility of its writer. The Ministry of Education should add a “gender” provision to its guidelines of textbook compilation to increase the percentage of women’s history in Korean History textbooks.
Science Education in Bulgaria

The chapter discusses the current state of science education in Bulgaria, taking into account some factors like: geographical location, population, cultural characteristics, technological development, economics, educational system, and international collaboration. The performed exploration shows that the science education in Bulgaria, following the European educational policy, national priorities and the world best practices, is characterized with great progress and achievements, challenging issues and well defined future directions, documented in strategies, policies and standards.
Balancing and reconciling the conflicting values of information access and personal data laws in South Africa

This scholarly book focuses on the relationship between information knowledge and technology with regard to the Fourth Industrial Revolution.The latter is understood to be a set of highly disruptive technologies blurring the lines between the physical, digital and biological spheres, collectively referred to as cyber-physical systems.Technologies such as cognitive computing, cloud computing, the Internet of Things, big data, augmented or virtual reality, 3D systems, artificial intelligence and power supply are transforming social, economic and political systems.Ultimately, we need to transform, be more creative and innovative to develop and sustain existing and emerging capabilities in the 'new normal', which has been accidentally accelerated by COVID-19 requirements.Technologies for digital transformation create the opportunity for Africa to bypass traditional phases of industrial development as the continent has done successfully in the past.Challenges addressed in the book are inequality, social justice, ethics, access and success, policy, infrastructure and cybersecurity.The book contributes to the ongoing discourse among scholars in Africa.It consists of 10 chapters where conceptual and field research are combined.The first chapter, by Trywell Kalusopa from the University of Namibia, focuses on e-government, with an emphasis on digital government in the digital economy.The second chapter, by Kelvin J. Bwalya from the University of Johannesburg, focuses on e-government from an artificial intelligence perspective.The third chapter, by Tom Kwanya from the Technical University of Kenya, focuses on the perception of robots for information services.In the fourth chapter, Johannes Britz, from the University of Wisconsin, discusses information ethics in the digital economy.
Use of Blockchain Technology in Agriculture Domain

Blockchain is an emerging technology, nowadays looked at it as a solution for most of the security issues of any system. It is a breakthrough to the traditional way of developing the applications which provides robust features in security, sharing the information, and immutability. Blockchain is digital ledger, and every transaction is considered as one record. This data is stored in encrypted format, and the series of records are linked in such a way that any tampering of the data is close to impossible. This literature study is focusing on the usage of blockchain in agriculture domain in supply chain. Researchers have provided various innovative solutions to improve on traceability in supply chain of food, fruit, vegetables, and seeds. The study of literatures helps to understand the new technical concepts that make blockchain as an effective solution, for e.g., BigchainDB to avoid decentralized database issues, use of activation key for authorization, and combination of blockchain and SQL database to improve the performance and efficiency. It is also observed that the combination of IoT with blockchain will bring error-free data entry and easy to use it improving traceability in the supply chain. This paper aims to understand all these concepts from various studies.
Biased Belief Updating in Causal Reasoning about COVID-19

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RESEARCH COMPETENCY AS AN INTEGRATIVE QUALITY OF THE PRIMARY SCHOOLCHILD’S PERSONALITY

"The given article examines the development of the research competency of a primary schoolchild as an integrative quality, presents a characteristic of its structure and the indicators of the formedness of research competencies. The formation of the research competency of schoolchildren represents one of the topical directions for implementing primary school education at comprehensive school. Addressing the problem of the formation of research competency in primary schoolchildren at comprehensive school is associated with the changing requirements to the organization and design of the educational process. Research activity is considered as a highly productive way of forming the research competency in primary schoolchildren. According to our research tasks we have analyzed and concretized the concept of the research competency, which is understood as an integrative personal quality of a primary schoolchild expressed in his conscious readiness and ability to perform educational research and includes value, cognitive, activity components. "