Reviewerly/exHarmony huggingface dataset:
Monitoring of the Russian Archival Institutions Web Sites in Terms of Search Engine Optimization

Sites as virtual representatives of memory institutions on the Internet perform many functions of these institutions. Currently, archival site building is developing quite actively, and the attention of researchers is focused on organization, data layout, and design. One of the most important tasks of a memory institution is to attract users. However, literature has been paying insufficient attention to optimization of the sites’ search engines. Thus, the author has turned to studying the sites of the federal archives in terms of their search engine optimization. Comparative analysis of the sites has been carried out according to such criteria as site quality index, number of external links to the resource, total social activity, as well as adaptability of the site for mobile devices. The PR-CY.ru service has been used as an analysis tool. Site Quality Index (IQS) is a new indicator introduced by Yandex instead of citation index to characterize the site’s usefulness to the user, taking into account a large number of factors and more truthfully reflecting the state of the information resource. According to the study, the State Archive of the Russian Federation (GARF) and the State Archive of Ancient Acts (RGADA) have the highest value of IQS, and are, thus, good sites from the user’s point of view. The majority of sites of federal archives have low IQS and need further improvement. An important indicator in website promotion is number of links to the website. In number of external links, the GARF and the Russian State Archive of the Navy (RGAVMF) are in the lead, while the Russian State Archive of Social and Political History (RGASPI) and the Russian State Archive of Literature and Art (RGALI) number most links from social networks. Sites of the RGAVMF and the Russian State Military Archive (RGVA) are optimized for mobile devices. Few sites have responsive design, which complicates access to their data. The author notes the need for regular site monitoring by means of web analytics. As a free site analysis tool, she recommends the PR-CY.ru service.
Cyberspace Security Threats and Attacks on E-Records Management at Moi University, Eldoret, Kenya

The digital revolution and internet connectivity are the power behind digital-based models in organizations. The broader reach and impact of cyberspace which is accelerating across Moi University seems to be generating complex challenge to address issues of e-records at Moi University. This chapter emanated from a thesis on e-records security management, and therefore investigates cyberspace security threats and attacks on e-records management at Moi University with a view to offering practical and policy interventions to address this challenge. Data was collected from Moi University staff using interviews and questionnaires and was analysed thematically and using Statistical Package for Social Sciences (SPSS) version 24. Findings revealed cyberspace as an e-records security challenge. Cybercriminals (hackers and crackers), when new technologies emerge, concurrently invent and discover new ways to tap in the new technologies with the intention to steal and corrupt e-records for their benefit, thus hurting the veracity of e-records and university's reputation. Cyber-attacks including an attempted attack on the network, viruses, and worms were widely mentioned in the findings as a threat to both the e-records, and the computer system that host them and storage devices. The chapter recommends that the university should set dynamic security strategy and vision, developing and implementing policies and adopting standards, threat analysis and assessment, integrated and intelligent cybersecurity management service, and investing in e-records security awareness campaigns and training for employees, among others.
DEVELOPING GLOVE AND FINGER PUPPETS AS MEDIA FOR TEACHING SPEAKING AT THE FIRST YEAR STUDENTS OF SMP DHARMA PANCASILA MEDAN

This study aimed at identifying the students’ needs of SMP Dharma Pancasila Medan in learning speaking using media that is glove and finger puppets. The nature of this study was Research and Development (R &amp; D). The steps were conducting the needs analysis, planning, developing the media, obtaining the experts’ judgments, revising and finally writing the final product glove and finger puppets. This study involved 24 students of the first year students of SMP Dharma Pancasila Medan as the research subjects. The instruments for collecting the data were questionnaires (needs analysis questionnaire and expert judgment questionnaires). The results of the needs analysis questionnaire were analyzed using percentage and the expert judgment were analyzed using descriptive statistics. Data got from the result of need analysis was being the basis in developing the product. The researcher was develop five puppets. All of the puppet was kind of animal: They are caterpillar, bee, ladybug, dragonfly, and butterfly. The puppet are use to help the students in describing animals. Then, based on the expert judgment, the media are appropriate for the first year students of junior high school. It was proved by the mean value of the appropriateness of the media is 3.6. It is categorized as “Very Good” as its positions is in the interval 3.28&lt; x &lt; 4.03.Key words: Teaching Media, Speaking Skill, Glove and Finger Puppets
A Secure Data Evaluation and Publishing Technique for Big Data

The number of applications is become large now in these days which are dealing with thousands of users in a second.Therefore, the data is such application is also collected and processed in large quantity.To deal with such data the big data technology is used that is combination of software and hardware for efficient data processing.The aim of the proposed work to address the different privacy and content sensitivity issues in big data environment.In addition, of that the effort is made for improving the content to prevent the data leakage during the content publishing in public domain.Therefore, the proposed work is contributed for designing an attribute key encryption technique that works on random attribute selection policy.The selected attribute is used for common key generation, which is used for the shared files.To generate the key for encryption the MD5 algorithm is used.Additionally for the encryption the efficient algorithm namely the AES algorithm is used.Secondly for identifying the sensitive content on the user's text the NLP (natural language processing) based technique is applied.That technique is used to extract the part of speech information from the text and to identify the noun from the text.That are the target data which is need to be encrypted.After encryption of the target text, the data is again reformed for publishing.To implement the entire scenario the web application is used which is usage the Hadoop storage for preserving the data.After implementation, the performance of the system measured in terms of time and space complexity.According to the results, the performance of system found acceptable.
Face Verification Across Age Progression using Enhanced Convolution Neural Network

This paper proposes a deep learning method for facial verification of aging subjects. Facial aging is a texture and shape variations that affect the human face as time progresses. Accordingly, there is a demand to develop robust methods to verify facial images when they age. In this paper, a deep learning method based on GoogLeNet pre-trained convolution network fused with Histogram Orientation Gradient (HOG) and Local Binary Pattern (LBP) feature descriptors have been applied for feature extraction and classification. The experiments are based on the facial images collected from MORPH and FG-Net benchmarked datasets. Euclidean distance has been used to measure the similarity between pairs of feature vectors with the age gap. Experiments results show an improvement in the validation accuracy conducted on the FG-NET database, which it reached 100%, while with MORPH database the validation accuracy is 99.8%. The proposed method has better performance and higher accuracy than current state-of-the-art methods.
Prior Prophecy of Septicemia Through Machine Learning

In recent days, diagnosis of sepsis involves a wide range of tests. Single test cannot tell that a person has sepsis. Undetected sepsis finally leads to death. The main drawback of sepsis is, there is much delay in predicting the diseases and identifying the various stages. Thus to avoid this delay in detection, we use Machine Learning concept. Thus by using this method prediction of sepsis has been increased and the mortality rate is reduced.
Differential Privacy Trajectory Data Protection Algorithm Based on Polar Coordinate Transformation

Differential privacy technology has been widely used in the issue of trajectory data release. Improving the availability of data release under the premise of ensuring privacy and security is one of its basic research goals. At present, most trajectory data release methods use a rectangular coordinate system to represent location information. Research has shown that the availability of published data cannot be optimized through the rectangular coordinate system. In order to improve the effect of trajectory data release, this paper proposes a differential privacy trajectory data protection algorithm based on polar coordinates. First, the stay point detection method is used to find frequent stay points in the trajectory and the key location points related to personal privacy are detected by the type of location points. Then, this paper converts the rectangular coordinate system representation of the key position points to the polar coordinate system representation, and implement differential privacy trajectory data release by adding noise to the key position points represented by the polar coordinates. Experiments show that the algorithm proposed in this paper effectively improves the usability of trajectory data on real data sets.
The Validity and Legibility of Digital Literacy-Based Reproductive System Flipbook to Improve The Critical Thinking Skills of Grade 11Th High School Students

21st century education has an important role to equip students with how to process and use information critically. This can be realized by developing digital literacy-based learning media, one of them is flipbook. The development of the flipbook in this study was applied to reproductive system material because the basic competence of the material requires analysis of information from various sources. The aim of this study was to produce a valid flipbook of reproductive system which had an appropriate level of legibility. The study used Hannafin and Peck development model which consisted of the needs analysis, design, and development phases. The measured parameters included the validation and legibility level of the flipbook. Validation was done by education expert lecturer, reproductive system expert lecturer, and Biology teacher based on the appropriateness of content, presentation, language, and critical thinking components. while the level of legibility of the flipbook was measured using the Fry formulation by analyzed 100 words in each section. The results of the validation showed very valid categories in each component with the average percentage of the presentation was 87.5%, content eligibility 96.3%, linguistic 91.7% , and critical thinking 98.3%. The validation components got 93.5% average percentage with a very valid category. The level of legibility of the flipbook showed level 11 with the appropriate category for high school students. Based on the results of the study, the developed flipbook was declared to be very valid and had an appropriate level of legibility for high school students.&#x0D; Keywords: digital literacy-based, reproductive system, flipbook, critical thinking skills
Sharing research data to comply with a journal policy: Experience of a first-time depositor

Background Journals in health sciences increasingly require or recommend that authors deposit the data from their research in open repositories. The rationale for publicly available data is well understood, but many researchers lack the time, knowledge, and skills to do it well, if at all. There are few descriptions of the pragmatic process a researcher author undertakes to complete the open data deposit in the literature. When my manuscript for a mixed methods study was accepted by a journal that required shared data as condition of publication, I proceeded to comply despite uncertainty with the process. Purpose The purpose of this work is to describe the experience of an information science researcher and first-time data depositor to complete an open data deposit. The narrative illustrates the questions encountered and choices made in the process. Process Methods To begin the data deposit process, I found guidance from the accepting journal’s policy and rationale for its shared data requirement. A checklist of pragmatic steps from an open repository provided a framework used to outline and organize the process. Process steps included organizing data files, preparing documentation, determining rights and licensing, and determining sharing and permissions. Choices and decisions included which data versions to share, how much data to share, repository choice, and file naming. Processes and decisions varied between the quantitative and qualitative data prepared. Results Two datasets and documentation for each were deposited in the Figshare open repository, thus meeting the journal policy requirements to deposit sufficient data and documentation to replicate the results reported in the journal article, and also meeting the deadline to include a Data Availability Statement with the published article. Conclusion This experience illustrated some practical data sharing issues faced by a librarian author seeking to comply with a journal data sharing policy requirement for publication of an accepted manuscript. Both novice data depositors and data librarians may find this individual experience useful for their own work and the advice they give to others.
The Application of Learning to Reading Without Spell Method in Increase the Reading Skill in The First Grade Elementary School Students

&lt;p&gt;&lt;em&gt;This research have purpose to increase the reading the skill in the firsth grade elementary school students. This research is a classroom action research conducted in three cycles, each cycle includes the planning, implementation, observation and reflection. The subjects were students first grade elementary school. Data source of this study are were students first grade elementary school, first grade elementary school teacher, and observers. The data analysis technique consists of three components, that is data reduction, data presentation, and conclusion or verification. The results show that the application of learning to reading without spell metod can be improve the reading skill first grade student elementary school.&lt;/em&gt;&lt;/p&gt;
ДОСЛІДЖЕННЯ ВИКОРИСТАННЯ МЕТОДІВ МАШИННОГО НАВЧАННЯ ДЛЯ РЕАЛІЗАЦІЇ ІГРОВОЇ ЛОГІКИ НА БАЗІ НЕЙРОННИХ МЕРЕЖ

Today, in order for a game product to be competitive and successful in the video game market, it is necessary to have not only a good graphic component in new products, but also offer something new and innovative that will make the product better than others. Researchers come to the circle of problems that should be solved for the further development of technology. These are problems of retraining the network, limited data for training, and high demands on computer resources.The relevance of the work is explained by the insufficient degree of research and the lack of empirical material that impedes further developments related to the use of artificial learning methods to implement game mechanics, namely, the use of artificial neural networks to build game logic. The aim of the work is to strengthen the game logic by means of a neural network, which will allow it to reasonably respond to the actions of rivals and have a significant impact on thequality of the game process. To achieve this goal, a number of tasks have been solved: a comparative analysis of modern machine learning methods and algorithms used in the construction of the game process has been carried out, approaches to the organization of training of neural networks with basic topologies have been determined; substantiated and developed formal models of the game agent based onmachine learning methods; developed a software system with the implementation of game logic based on a neural network; testing of the developed software system with visualization of the learning process and assessment of the reliability of the results. As a result of the study, neural networks with various configurations, topology and training methods were developed, the obtained models were analyzed and compared in terms of accuracy and training time. The recommendations of the comprehensive analysis of various topologies and principles of machine learning can be used in the development of video games built on the basis of a neural network, as well as in other scientific studies.
Development of children´s cognitive abilities through interactive applications

In this paper we present the development of cognitive abilities in kindergarten children with interactive applications. Practical part includes the design of application prototype used for the development of cognitive abilities in children age three to four. It comprises three categories in which children’s cognitive abilities are tested and being developed. The categories are colors, numbers, shapes and sizes.
Fast Path Planning Through Segmentation of the Map into Manhattan-Cohesive Areas

This paper presents a method for fast planning within arbitrary maps, through segmentation of the map into Manhattan-cohesive areas. A Manhattan-cohesive area is a connected part of the map where the optimal distance between any two points in the area is equal to their Manhattan distance. We adopt a four directions Manhattan distance, where diagonal moves are allowed. In the paper we present the method we adopted to fragmentize the map, as well the method to extract the paths. The proposed method produces nearly optimal plans quite efficiently.
21st Century Technical Skills Training: Computer Systems Support

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 3248 21st Century Skills Training: Computer Systems Support Cecil Beeson, William Gay University of Cincinnati Clermont College I. Introduction This paper describes how a two-year access college determined the demand for education and training in a particular technology, computer support technology, and how it met and continues to meet that demand. Most institutions of higher education devote part of their efforts toward determining educational program needs of their respective service areas. When such need is discovered, the institution must then decide whether or not it is capable of meeting it. If it is capable of meeting the need, it must construct a plan and begin securing resources required for developing such a program. The University of Cincinnati Clermont College has undergone such a process many times in its effort to provide its service area with up-to-date and substantial new program offerings. This paper chronicles the birth, growth, and projected future development of one of UC Clermont College’s new technical programs: “Computer Systems Support (CSS).” For those considering development of a new, or significantly revised, technology-driven program, this article can provide a framework for planning and implementation. UC Clermont College was founded in 1972 as an open-access two-year branch campus of the University of Cincinnati. Its service area includes the counties to the immediate east of Cincinnati. The College resides in one of those counties, Clermont. This county has experienced the largest rate of growth in terms of population and industrial development of any county in the state of Ohio. Some of the industries represented in the county such as Structural Dynamics Research Corporation, Ford Motor Company, and Cincinnati Milacron are on the cutting edge of technology. At its inception UC Clermont offered two-year transfer programs such as liberal arts or business, but its array of technical programs was nearly nonexistent. As time passed the College gradually developed programs in Hospitality Management, Electrical Engineering Technology (EET), and Industrial Engineering Technology. When these programs were initiated, little effort had been made to determine the need for the programs. II. The next step The exponential increase in the number of computer systems of the 1980’s and 1990’s suggested the need for computer hardware maintenance technicians. The tendency toward networking of computers, be it intranet or the Internet, also required a support technician with the software skills necessary for maintaining, updating and modifying a computer network. That person would also need skills in multimedia software and hardware. A global need for engineering technologists with this training was apparent.
Advanced Modeling In Biological Engineering Using Soft Computing Methods

graduate and undergraduate classes that involve plant and animal growth and environmental factors, modeling, and instrumentation and controls for both agricultural and biological systems engineering students for 28 years
Assessing Challenges and Affordances of a Traditional Instructor’s Pedagogical Change During Guided Implementation of Innovative Pedagogy

In order to improve the understanding of issues that arise during implementation of innovative materials and practice, progressive pedagogical materials (developed using research based principles) were integrated into an introductory materials engineering course taught by an engineering instructor who had teaching with traditional classroom practice.To do this, a graduate research associate worked with the faculty member to support implementation of student engagement modules for four topics in the course which included: atomic bonding, crystal structures, dislocations and defects, and phase diagrams.During each class period a Reformed Teaching Observation Protocol (RTOP) observation was completed to assess the instructor's classroom pedagogical practice in order to determine how it might have changed over the course of the semester.Students in the course completed daily reflections and an exit course survey to assess their perception of how supportive various components of the course were to their learning.Data suggested there were minor changes in teaching behaviors over the semester, and that time spent on activities and number of slides in the instructor's presentation influenced these changes.Additionally, students perceived that many of the integrated innovative curriculum materials were supportive of their learning.Challenges and affordances for implementing the progressive pedagogical tools were also identified.These included time constraints, limitations due to textbook choice, and epistemological beliefs of instructor and students with respect to the nature of learning.