Reviewerly/exHarmony huggingface dataset:
Трансформация профессионального пространства и позиция научной интеллигенции Татарстана в 1920-е гг.

The paper analyzes the problem of forming a new system of organizational and administrative procedures and the rules in Tatarstan higher education in the 1920s. In particular, problems of introducing a new “Soviet” system of elected boards in the Kazan high schools are considered. The system approach in studying organizational procedures and rules in the Kazan higher educational institutions made it possible to reveal not only the attitudes of professors and teachers to them, but also the processes that occured inside the professorial corporation. The mechanisms of “transition” to new Soviet rules and rituals are analyzed. With the purpose of studying reaction of scientific intelligentsia on occurring metamorphoses in professional space, the detailed analysis of the election system, taking place in the Kazan university, was undertaken. Based on archival documents, the reaction of scientific intelligentsia to occurring deformations of management structure in the Kazan high school is demonstrated, as well as the attempts of scientists to resist the “Soviet” procedures and rules and to keep pre-revolutionary ones. The author states that the intelligentsia introduced new rules and rituals and generated new behavioural practices, unusual for pre-revolutionary period. The transformation of the professional space of the scientific intelligentsia had a decisive effect on the emergence of a new identity, which began to take shape during the period under study. doi 10.17072/2219-3111-2018-1-172-179
Measuring Literary Reading Motivation: Questionnaires Design and Pilot Testing

This study aims to present the design and pilot testing procedures of the two specific self-report questionnaires were used to measure the two key aspects of reading motivation, self-efficacy and intrinsic motivation in the field of literary (narrative) reading, and the partial factors that jointly shape them. These instruments were outlined in advance, tested on a small scale and finally administered in a pre-post (quasi)experimental-control group research study, in order to investigate the effect of an intervention reading program to 6 graders. The measurement tools have good validity and reliability evidence, but further construct validity analysis should be done
Impact of information communication technology on academic library and its services

An academic library is attached to a higher education institution and serves two complementary purposes: to support the curriculum, and research of the university faculty and students. It is unknown how many academic libraries there are worldwide. Academic libraries must determine a focus for collection development since comprehensive collections are not feasible. These collections may include original papers, artwork, and artifacts written or created by a single author or about a specific subject. But because of information communication technology ICT academic library will connected with each other with specific network academic libraries typically provide access to subscription-based online resources, including research databases and ebook collections, in addition to physical books and journals. ICT play a crucial role in development of library building, library book collection, user data, book acquisition, delivery of information, information exchange service providing like current awareness service and selective dissemination of information, reference service at lower cost, faster and up to date information to the end user. ICT in academic libraries lend out technology such as video cameras, iPads, and calculators. To reflect this changing focus, many academic libraries have remodeled as Learning Common Academic libraries and learning commons often house tutoring and writing centers and other academic services using information communication technology.
U-Pb Isotopic Data and Ages of Zircon and Titanite from Rocks from the Western Alaska Range, Northern Aleutian Range, Taylor Mountains, and Tikchik Mountains Regions, Alaska

This data set contains U-Pb isotopic data and ages of zircon and titanite from igneous and metamorphic rocks collected from the western Alaska and northern Aleutian Range of south-central Alaska. The data sets also contain U-Pb isotopic data and ages of detrital zircon from sedimentary and metasedimentary rocks collected in the same region but also from the Taylor and Wood River Mountains of southwestern Alaska. The entire sample suite was collected as part of geological mapping and supporting geochemical and geochronological analysis conducted from 2004 to 2019 and funded by the Mineral Resources Program of the U.S. Geological Survey (USGS). Zircon and (or) titanite were obtained from igneous and metamorphic rocks to determine the crystallization age and (or) age of metamorphism for the bedrock samples. Bulk rock samples were processed into concentrated mineral separates in USGS laboratories in Denver, Colorado, or by Apatite to Zircon, Inc. (A2Z) and analyzed by USGS research scientists at the Stanford-USGS Sensitive High Resolution Ion Microprobe with Reverse-Geometry (SHRIMP-RG) at Stanford University. Detrital zircon grains were obtained from samples of sedimentary and metasedimentary rocks to determine depositional age and sediment sources. Detrital zircon grains were separated from bulk bedrock samples and analyzed at one of three different laboratories [University of British Columbia (UBC, 2004 to 2006), at A2Z (2006 to 2009), and GeoSep Services (GSS, 2015 to 2019)] using laser-ablation-inductively-coupled-plasma-mass spectrometry (LA-ICP-MS) techniques. The data tables accompanying this data release report the isotopic composition of uranium (U) and thorium (Th) measured in each grain, ratios of two isotopes of lead (207Pb and 206Pb) and two isotopes of uranium (235U and 238U), and the age of each grain. The SHRIMP-RG data table also reports concentrations of selected trace elements measured in each grain.
Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding

Recent work has demonstrated that neural sequence models can successfully solve combinatorial search problems such as program synthesis and routing problems. In these scenarios, the beam search algorithm is typically used to produce a set of high-likelihood candidate sequences that are evaluated to determine if they satisfy the goal criteria. If none of the candidates satisfy the criteria, the beam search can be restarted with a larger beam size until a satisfying solution is found. Inspired by works in combinatorial and heuristic search, we investigate whether heavy-tailed behavior can be observed in the search effort distribution of complete beam search in goal-oriented neural sequence decoding. We analyze four goal-oriented decoding tasks and find that the search effort of beam search exhibits fat- and heavy-tailed behavior. Following previous work on heavy-tailed behavior in search, we propose a randomized restarting variant of beam search. We conduct extensive empirical evaluation, comparing different randomization techniques and restart strategies, and show that the randomized restarting variant solves some of the hardest instances faster and outperforms the baseline.
BASED ON STUDENTS' COMPETENCY-BASED APPROACH TO PHYSICS SOLVE EXPERIMENTAL AND GRAPHICAL PROBLEMS

In this article the ability of students to analyze experimental and graphical problems on the basis of a competency-based approach to physics shows that the competency-based approach is important and relevant in improving the effectiveness of education. Defining and developing lesson requirements based on the competency approach, improving textbooks on the basis of the competency approach, the methodology of using interdisciplinary links are fully reflected in the coverage of the topic. Experimental and graphical issuesi increased the interest of students in the fact that the ability to solve in addition to the formation of skills from students has a practical significance.
The Analysis of Stylistic Devices in The “Jane Eyre” by Sharlotta Bronte

We know that meaning arises from the interaction of two different lexical meanings, namely lexical and textual meanings.  Sometimes the difference between them is so great that an unexpected phenomenon arises from the application of such derivative meanings. In this case, we feel that the stylistic method has emerged.
White Blood Cells Nuclei Localization Using Modified K-means Clustering Algorithm and Seed Filling Technique

The presence of White Blood Cells (WBCs) in the body of human has a great role in the protection of the body against many pathogens. The recognition of the WBC is the first important step to diagnose some particular diseases. The pathologists usually use an optical microscope to recognize WBCs, but, this process is a quite tedious, time-consuming, error prone, very slow, and expensive. In addition, it needs experts with long practice in this field. For these reasons, a computer assisted diagnostic system that helps pathologists in the process of diagnosis can be effective, easy and safe. This research is devoted to develop a system based on digital image processing methods to localize WBCs nuclei. The proposed system involved a collection of pre-processing and segmentation algorithms that are capable of allocating the nuclei in different shapes of WBCs from a microscope images. To accomplish this task, a combination of local enhancement using histogram statistics, modified k-means clustering, normalization, convert to binary image using a suitable global threshold, islands removing and holes filling based on seed filling technique, and nucleus localization algorithms were performed. The features of WBCs images in the tested dataset make the WBC nuclei extraction process representing a great challenge. The test results indicate promising ability to completely isolate the nucleus from other parts of the cell. The analysis presents a high similarity between the ground truth samples and the results obtained by the proposed method. The precision percentage of the proposed method applied on the tested dataset images is 97.21% and F-score percentage is 96.23%.
Educational Videos For Basic Skateboard Techniques ForBeginners In South Tangerang

The Design of this Educational Video will review basic things in playingskateboarding properly and correctly with the aim of educating theintended target audience, namely beginner skaters or novice playersin the sport especially in the city of South Tangerang. It is hoped thatwith this educational video, the determined target audience can havebasic knowledge and understanding in skateboardin which isconsidered important so that they can continue to improve theirabilities and alose anticipate minor injuries and serious injuries. Thereis a need to increase the number of audiovisual education media thatcover basic things in skateboarding. Educational media that is easy tounderstand and efficient in educating the target audience. The imagesand sounds contained in the video make video a more interactivemedium in conveying information so that it is easier for the targetaudience to understand in terms of visuals and media. In the digitalera, videos are more easily accessible using computers, laptops andsmartphones. This advantage becomes and advantage because thismedia can be distributed more easily. This video will published onsocial media such as Youtube, Twitter and Instagram.
Virus model evaluation framework

During COVID-19 outbreak more interest in forecasting models has appeared. However, one of the popular sources of selecting the best models relies on specific leaderboards. The leaderboard maintainers utilize their own test configurations but it is unhelpful when they are trying to fit a model to not listed configuration or a model cannot be shown to anyone (if the leaderboard evaluates the model). In this case, a downloadable evaluation framework with various configuration parameters is needed. This work presents such a framework and the link to its repository. © Springer Nature Switzerland AG 2021.
Artificial Intelligence (AI) and the Impact of Enhancing the Consistency and Interpretation of Financial Statement in the Classified Hotels in Aqaba, Jordan

Aim/Purpose: The study aims at investigating to know the effect of artificial intelligence (AI) on the quality and interpretation of financial statements in the hotels classified in the Aqaba Special Economic Zone (ASEZA) in Aqaba, Jordan.Methodology: To achieve this aim a questionnaire was distributed to a sample consisted of 172 employees. The researchers used the questionnaire to find out the opinions of the sample of the study, after having viewed the theoretical literature related to the subject of the study, whether it was provided in references or in scientific journals and theses. This study is an exploratory, analytical study and follows the approach of collecting and analysing data to draw conclusions. The researchers used the arithmetic mean, standard deviation, T-test and ANOVA test to measure the level of importance for the study questions.Findings: the results of a simple linear regression analysis of the effect of artificial intelligence applied in Jordanian hotels on the integration of accounting information systems, and that the correlation between artificial intelligence and integration of accounting information systems is R=0.596%, and that the percentage is explained by the application of applied artificial intelligence in Jordanian hotels where (R2) reached 0.355% of the variance of the dependent variable (accounting information systems integration). It also shows that the fixed limit value amounted to 2.060, and that the value of (Beta) for the independent variable “artificial intelligence” applied in the accounting systems in Jordanian hotels reached 0.596.Implications & Recommendations: This study offers a deeper understanding of the role of clarifies how artificial intelligence works creatively with accounting systems to help managers in hotel establishments produce high-quality accounting information through reduce information risks.Contribution & Value Added: This research leads to a comprehensive and systemic exploration of the degree to which hospitality and tourism scholars are aware of business intelligence It is the first comprehensive literature analysis of business intelligence and artificial intelligence (AI) in hospitality and tourism study on the consistency and perception of financial statements classified in the Aqaba Special Economic Zone (ASEZA) in Aqaba.
Internet of things (IOT): challenges and future directions

Internet of Things as it stands today is predominantly consumer led, and the sectors that can envisage value are those such as healthcare, retail, manufacturing and construction. These are industries that are looking to revolutionise their customer interaction experience – they are considering how the Internet of Things can enhance the services they provide to their customers.Internet of Things technology is at the initial, mostly experimental, stage. With the beginning of its wide application there will be a lot of problems: reliability, legal consequences, real price of computer calculations, etc. Today the developers of the project actively develop the platform, expand its functionality, refine the code, fix vulnerabilities, and introduce new tools. In addition to the Internet of Things aims at the field of online payments and money transfers. The implementation of the Internet of Things has been criticized because of non-standard ways of approaching cryptography and the lack of obvious to most users of the evidence that it has cost-effective advantages. There are also doubts about the triad redundancy for theoretical protection against quantum processors (there is not mass application, only prototypes are available) and the use of the Coordinator server (interacting with complete nodes for additional protection against attack on a weak network), its necessity and the period of further operation.
Advanced Security Analysis of Iot Environment Using Deep Learning Techniques

IoT apps were properly used within a number of domains which range from sensible residence, smart energy, healthcare, along Industrial 4.0. While IoT creates a variety of advantages such as efficiency and convenience, additionally, it presents a variety of appearing threats. Variety of IoT products that could be hooked up, together with the advert hoc dynamics of this kind of method, quite often exacerbates the circumstances. Protection, as well as secrecy, have emerged as substantial issues for dealing with IoT. Recently study has evidenced the Deep Learning (DL)Methods are extremely real for doing protection evaluation of IoT methods and also have a lot of benefits in contrast to the opposite methods. Paper is designed to make an intensive analysis associated with serious mastering uses in IoT for privacy and security issues. The primary focus of ours is on serious learning improved IoT protection. For starters, out of the perspective of the methodologies and system architecture utilized, we investigate the uses of serious learning of IoT protection. Next, out of the protection viewpoint of IoT methods, then we model a Convolutional Neural Network (CNN) to master the dataset as well as make use of the skilled CNN to identify the visitors. The last tests reveal that the approach of ours is able to differentiate different kinds and benign traffic of strike visitors efficiently and also gets to the 99.58 percentage of accuracy. We examine the suitability of rich learning how to boost protection. Last but not least, we assess the overall performance of DL of IoT environment protection.
Efektivitas Metode Mind Mapping Dalam Meningkatkan Kemampuan Operasi Hitung Penjumlahan Deret ke Bawah Pada Siswa Diskalkulia

This study aimed to determine the effect of mind mapping to increas e the ability of the operation of summing down ward rows of dyscalculia students. This research utilized Single Subject Reseacrh (SSR) with A-B-A design . A-B-A design consist ed of three conditions, namely the initial baseline (A 1 ), intervention (B), and the final baseline (A 2 ). Th is research data were obtained from a male dyscalculia student at grade III elementary school through fourteen observations by implementing mind mapping. Then, the data were analyzed by using visual analysis of graphic data . The ability to do the operation of summing down ward rows for students in the initial baseline observation (A 1 ) obtained a percentage of 0%, 0%, 0% in three times observations. Then , the intervention (B) was carried out by applying mind mapping and it was found that the percentage increased for 90%, 100%, 100%, 100%, 100% in five times observations. Finally, the observation at the final baseline (A 2 ) found that the percentage increased by 35%, 70%, 80%, 100%, 100%, 100% in six times observations. Based on the results of the analysis, it was found that applying mind mapping was effective in increasing the ability to perform the operation of summing down ward rows of dyscalculia students.
Development of Fall Detection and Alerting System for Elderly People Using Iot

Fall isdangerous, especially for elder people and patients. Elder people undergo the risk of serious harm due to fall. There may be absence of any safety system to detect fall. Thus, this proposed system gives a better solution for older people and patientsand eases their lives. The system uses tri axial accelerometer MEMS sensor mainly, which is fixed to the person's body. This is to detect the movements of the person by considering the values reckoned by the sensor. Other sensors used in the system measure some health parameters of the person such as body temperature, heart beat and respiratory levels. These sensor inputs are fed into microcontroller for further processing.Once the sensor values crosses the threshold fixed intimation to the care taker is sent through IOT. On observing poor breath level automatic ventilator support mechanism is activated to help the elder people. The system will also alert the care taker with buzzer alert.
Features of using information and communication technologies for studying geographical information in distance learning

Modern educational systems cannot be imagined without ICT tools. This is evidenced by the distance education system currently used in the country. This article reveals the peculiarities of teaching of geographic data in remote education with the use of technologies of information and communication technologies. Communication technologies used in teaching geography in General education have become the most important condition for improving the effectiveness of education. The process of practical implementation of ICT is chaotic, but it has its own regularity. today, researchers from all over the world are engaged in its definition and research. The article presents some methods of using information and communication technologies necessary for effective teaching of geography. Representation of geographical data and representations using computer technology makes the educational material accessible and interesting, as well as very necessary for the formation of students ‘ practical and structural knowledge.
Faktor Kritis Kesiapan E-Learning Pendorong Perfoma Belajar Ekonomi Siswa SMA Selama Pandemi Covid-19

This study aims to analyze the effect of e-learning readiness factors, including self-competency, perceived usefulness, self-directed learning, motivation, and financial on the economic learning performance of high school students. This study used a quantitative approach. A total of 177 students were involved in this study. The data were collected through questionnaires and documentation. Regression analysis was used to analyze the data. The results of the study showed that four factors of e-learning readiness, namely self-competency, perceived usefulness, self-directed learning, and financial partially had a significant effect on students' economic learning performance (exam scores). Self-directed learning emerged as the strongest factor for driving students' economic learning performance (exam scores), and sequentially followed by self-competency, financial, and perceived usefulness factors. Another factor, namely motivation partially has no effect on students' economic learning performance (assign-ment and exam scores). Meanwhile, simultaneously all e-learning readiness factors have an effect on students' economic learning performance (assignment and exam scores).
The Development of Excellent Courses of BP Neural Network Teaching Platform

Blackboard online teaching management platform is an integrated, efficient and powerful network platform for “teaching” and “learning”. This paper expounds the necessity and design principles of the teaching reform of “Ideological and moral cultivation and legal basis” course based on the platform of the network teaching of BB under the new situation, explores the design of the network teaching content of BB, and then effectively improves the education effect of the ideological and political theory course.
A Legal Perspective on Social Media Use and Employment: Lessons for South African Educators

In this article, the author provides a legal perspective on the interplay between social media use and employment. The unique characteristics of social media are identified in order to frame the article before a number of considerations with regard to employment relationships that impact on deciding social media misconduct cases are deliberated upon. Thereafter, the author reflects on the implications of social media transgressions for educators' professions and contemplates the forms that social media misconduct by South African educators can take, with specific focus on defamation. Before the article reaches its conclusion, social media evidence and the impact of the unique characteristics of social media on users' legitimate expectations of privacy are also considered. The article concludes with a few guidelines on how educators can avoid the pitfalls that make social media use potentially hazardous to their employment.