Reviewerly/exHarmony huggingface dataset:
Mikhailovsky (Engineering) castle in the history of book culture of Saint Petersburg – Leningrad

Mikhailovsky Castle is an outstanding monument of palace architecture, in the XIX–XX centuries it was one of the important elements of urban book culture. During the specified period in the building there were own, public, special and scientific libraries, unique on the art, historical, cultural value. Among them are collections of emperor Paul I; engineer general P. K. Sukhtelen; Free society of literature, of sciences and arts, Saint Petersburg Mineralogical society, Nikolaev engineering academy and school, Central naval library, Central scientific and technical library. Particular attention in the work is paid to the attempt of the cultural and political elite of Leningrad and the Council of Ministers of the RSFSR in 1947–1949 to organize in the castle a branch of the M. E. Saltykov-Shchedrin State Public Library. The study was carried out based on various historical sources, including unpublished documents from the central and departmental archives of Saint-Petersburg, some of which are first introduced into scientific circulation
Possibilities for Implementing Anti-Bullying Elements in the e-Learning Process

Bullying is not a new phenomenon, but it has spread in recent years through a new form: cyber-bullying, as a result of technological evolution. The negative effects are multiple, from anxiety, health problems, to dropping out of school and even suicide. To make the school a safe environment for children, methodological norms have appeared to prevent and combat bullying manifestations in the school environment. In the context of the Covid-19 pandemic, when many activities continued online, education also acquired a new dimension: e-Learning. Information devices (computers, tablets, smartphones) have taken over the occupations of young people and exposed them to cyber risks, pseudo-socialization, technological dependence. Online safety of students is a necessity and a topical issue, in which the family, the school and the community should be involved, and training through courses is a first step in solving this problem. This paper briefly presents the dangers caused by the misuse of technology, as well as the entrepreneurial perspective of anti-bullying intervention, through online training courses.
A Simplified Method for Predicting Pattern Match Ratio

Cognitive diagnostic test design (CDTD) has a direct impact on the pattern match ratio (PMR) of the classification of examinees. It is more helpful to know the quality of a test during the stage of the test design than after the examination is taken. The theoretical construct validity (TCV) is an index of the test quality that can be calculated without testing, and the relationship between the PMR and the TCV will be revealed. The TCV captures the three aspects of the appeal of the test design as follows: (1) the TCV is a measure of test construct validity, and this index will navigate the processes of item construction and test design toward achieving the goal of measuring the intended objectives, (2) it is the upper bound of the PMR of the knowledge states of examinees, so it can predict the PMR, and (3) it can detect the defects of test design, revise the test in time, improve the efficiency of test design, and save the cost of test design. Furthermore, the TCV is related to the distribution of knowledge states and item categories and has nothing to do with the number of items.
Deep Self-Attention for Sequential Recommendation (S)

Sequential recommendation aims to recommend the next item that a user will likely interact with by capturing the useful sequential patterns from users' historical behaviors.Recently, it has become an important and popular component in various e-commerce platforms.As a successful network, Transformer has been widely used to adaptively capture the dynamics of users' historical behaviors for sequential recommendation.In recommender systems, the size of embedding is usually set to be small.Under small embedding, the dot-product in Transformer may have the limitation on calculating the complex relevance between keys and queries.To address the common but neglected issue, in this paper, we present a new model, Deep Self-Attention for Sequential Recommendation (DSASrec), which proposes a chunking deep attention to compute attention weights.The chunking deep attention has two modules: a deep module and a chunking module.The deep module is used to improve the nonlinearity of the attention function.The chunking module is used to calculate attention weights several times like the multihead attention in Transformer.Extensive experiments on three benchmark datasets show that our model can achieve state-ofthe-art results.Our implementation is available in PyTorch 1 .
Integration Strategies for the Personas technique within Agile Process (S)

Agile development processes are increasing their consideration over usability, integrating different user-centered design techniques throughout development.One such technique is Personas, which proposes the design of fictitious users with real preferences to drive application design.As applying this technique conflicts with the time constraints of agile development, Personas has been adapted over the years.Our objective is to determine the adoption level and type of integration, as well as to propose improvements to the Personas technique for agile development.A systematic mapping study was performed, retrieving 28 articles which we grouped by agile methodology type.We found some common integration issues irrespective of the type of agile process, such as the life cycle stage or the target user analysis, and also some frequent problems, mainly related to project timing and representing the Persona context.Based on these difficulties, we propose possible improvements, such as using templates for a preliminary Persona.This study analyzed the different integration strategies for the Personas technique within agile processes, evaluating the difficulties found and proposing solutions.The number of publications is increasing, which reveals a growing interest in the adoption of this technique to develop usable agile software.
Investigating the Hemodynamic Response and Functional Connectivity During Overt and Covert Speech: A fNIRS Study

When spatially normalizing images of the human cerebral cortex, the folding pattern is often used as a proxy for architecture. However, the variability of the folding pattern across individuals creates a lot of difficulties. Furthermore, the mechanisms underlying gyrification are still under exploration, and the links between folding and architecture are unclear outside primary areas. New computational methods focused on cortical sulci have been designed to support the research programs aiming at improving the role of sulci as architectural landmarks. They provide automatic recognition of the sulci, sulcal-based spatial normalization, and models of the variability of the shape of the sulci.
Diagnostic Accuracy of Mammographic and Sonographic Findings in the Differentiation of Palpable Breast Masses taking Histopathology as a Gold Standard

Background: The Presence of palpable breast mass may be an indication of breast cancer. Early and accurate diagnosis for the breast masses is important for therapeutic purpose.&#x0D; Purpose: To assess the diagnostic accuracy of mammographic and sonographic findings in the differentiation of palpable breast masses taking histopathology as a gold standard.&#x0D; Materials and Methods: 134 females were involved in the study. Sonographic and mammographic findings of palpable breast masses were obtained with the help of which diagnostic accuracy of ultrasound and mammography was calculated while taking histopathology as a gold standard.&#x0D; Results: Mean age in 134 females was found to be 44.2±4.7 years. Sn, Sp, PPV, NPV, disease prevalence and accuracy of ultrasound in diagnosis of palpable breast lumps were 99.09%, 79.17%, 95.61%, 95.00%, 82.09% and 95.52% respectively. Sn, Sp, PPV, NPV and accuracy of mammography in diagnosis of palpable breast lumps were 95.45%, 62.50%, 92.11%, 75.00% and 89.55% while disease prevalence was same as that of ultrasound i.e. 82.09% respectively.&#x0D; Conclusion: Ultrasound showed higher diagnostic accuracy in the evaluation of palpable breast masses than mammography while taking histopathology as a gold standard. It is noteworthy in differentiating breast masses.
Single Axis Solar Tracking System Using Arduino And 555 Timer IC

This research focuses on the topic of development and advancement of single axis solar tracker with the help of Arduino UNO, which is cost efficient, less complex, and capable of achieving maximum efficiency and maximum output. In this research, light dependent resistors (LDR) are used to detect solar radiation and capture optimum light intensity. Servo motor is used to rotate the solar panel and to sense the maximum light intensity sensed by LDR. A small prototype of single axis solar tracking system is designed to implement methodology. 555 timer IC is the main controlling unit. For the detection of position of the sun in the sky, two LDRs had been used and to move the solar panel a servo motor is employed. The objective of the present work is to develop the solar tracking technology and improve its utilization efficiency. With the help of this method, we can maximize the Solar power generated by the Sun. This system can be used anywhere where we have a relatively larger area to move the solar panel. These trackers follow the sun vertically and horizontally they help obtain maximum solar energy generation. It can increase the efficiency of a solar plate to as much as 40% in some regions. Tracker systems follow the sun throughout the day to maximize energy output. The Solar Tracker is a proven single-axis tracking technology that has been custom designed to integrate with solar modules and reduce system costs. This model also provides a bankable energy production profile preferred by utilities.
The management of science laboratory at senior high school in digital era

The problem in this research is how is the science laboratory management at SMA Negeri 4 Ogan Komering Ulu. The research objective was to identify and describe the science laboratory management at SMA Negeri 4 Ogan Komering Ulu. This study uses a qualitative approach which is an approach to the process of collecting data and information that is deep, detailed and systematic in order to understand the object of the research study. The results of this study generally concluded that the management of the science laboratory at SMA Negeri 4 Ogan Komering Ulu was good enough and supported science learning. This can be seen from the laboratory planning that has been implemented optimally even though there are still many limitations faced, the implementation of the planning has been carried out well, the budget for the laboratory is available even though it is not fully sufficient, the tools and materials in the laboratory are quite complete and has made innovations using virtual laboratories in science learning that are connected via the internet network.
Sistem Pendukung Keputusan Penentuan Uang Kuliah Tunggal Universitas XYZ Menggunakan Algoritma Backpropagation

The determination of the student's single tuition fee grade at XYZ University still faces problems, one of which is the inconsistency of supporting variables which change each year based on the number of students and the level of student welfare. Determination of the class of student's single tuition fee based on the web that applies the backpropagation algorithm is designed to produce an adaptive decision-making system for changing variable determinants so that every year it is not necessary to adjust the weight in determining the student's single tuition fee group. In building a decision support system to determine the student's single tuition fee group, there are several stages including data collection, data processing, backpropagation implementation, evaluation and presentation of the model, and implementation of a web-based decision support system. During the evaluation and presentation of the model, several experiments were carried out by considering various parameters to get the best accuracy results. The accuracy of the best model produced in this study reached 86% with output in the form of a web-based decision support system that is ready to be managed by the Center for Information and Computer Technology (PUSTIKOM) of XYZ University for use by new students.
UPAYA MENINGKATKAN HASIL BELAJAR EKONOMI MELALUI STRATEGI PEMBELAJARAN QUESTION STUDENT HAVE PADA PESERTA DIDIK

The problems in this study are 1) Economic learning outcomes are still low. 2) Monotonous learning makes students bored and indifferent to the economic lessons being studied. 3) Assignment is more often done with minimal explanation, thus making most students confused with some of the economic material being studied. 4) Students who are embarrassed to ask questions and do not dare to express their opinions in learning. 5) There is no space for students to share in learning so that only the smart ones get good learning outcomes. In this study, the author uses the question student have learning method with the aim of improving the learning outcomes of students in class X IPS 1 SMA Taman Siswa Teluk Betung Bandar Lampung for the 2020/2021 academic year.This research is a Classroom Action Research (CAR) which is carried out in two cycles in its application using the question student have learning method. The subjects in this study were students of class X IPS 1 SMA Taman Siswa Teluk Betung, totaling 23 students. The results showed that the percentage of student activity has increased. It is known from the percentage of student learning activities in cycle 1 there are 39.14% which are included in the good category, 60.86% which is included in the sufficient category, and in cycle 2 there are 34.78 % which are included in the very good category, 47.83% are included in the good category and there are 17.39% which are included in the sufficient category. The percentage of student learning outcomes also increased where in cycle 1 it was 65.21% and cycle 2 was 82.60%. So it can be concluded that learning activities by applying the question student have learning method can increase the activity and economic learning outcomes of students in class X IPS 1 SMA Taman Siswa Teluk Betung Bandar Lampung for the 2020/2021 academic year.
An Analysis of the Ways and Effects of Different Network Platforms in the Online Teaching of Biology in Middle School

How to combine the characteristics of middle school biology and bring into full play the superiority of the network platform was of great significance to improve the online teaching effect of middle school biology.In this study, the methods of literature study, questionnaire survey and comparative analysis were used.Middle School biology teachers with online teaching experience were mainly investigated on the application of network platform in online teaching by questionnaire software.The results of the survey showed that the majority of teachers carefully chose to identify ways to use the network platform, and achieved the expected teaching effect, however, there was still a long way to go in improving students' biology accomplishment.Based on the research of the previous literature, this paper put forward the teaching suggestions of online teaching platform of middle school biology based on the three principles of OBE and PBL teaching mode, aiming at improving the teaching effect and providing reference for online teaching teachers of middle school biology to use the teaching platform.
Challenges of the adult learning sector in context of COVID-19 in Latvia

The COVID-19 pandemic has affected the way people work and learn in unprecedented ways. Also, the pandemic has moved more business activity online, increasing the need for training and prompting them to build more online trainings. In this time of crisis, a suitable response requires novel ways to enable interaction between adult learners, adult learners and teachers, adult learners and content using online tools so that no one is left behind. In the context of regional development, online adult learning provides economic active inhabitants with wide opportunities since employees are able to attend high-quality trainings regardless the place of residence. In context of COVID-19, during the emergency situation Latvia has fully moved to remote learning, including adult learning. Educational institutions as well as enterprises that organise trainings for adults have to implement remote learning using several online tools. The aim of the paper is to analyse the main challenges of the adult learning sector in Latvia in context of COVID-19 taking into consideration the regional development issues. In order to achieve the aim, following research methods have been used: scientific literature studies, statistical data analysis, interviews. Main results of the survey: in case of Latvia, the Ministry of Education and Science of Republic of Latvia has launched several initiatives towards enabling the shift to online learning, providing recommendations, digital tools as well as good practice sharing. At the same time, there is no methodology and detailed step-by-step recommendations, how to develop the online education learning for educational institutions in Latvia. However, there are incentives to develop online adult learning via project funding.
FUTURE MUSIC TEACHER TRAINING FOR PROFESSIONAL ACTIVITY IN OUT-OF-SCHOOL EDUCATIONAL INSTITUTIONS

The article highlights the approaches to professional future music teacher training in the institutions of higher pedagogical education to work in out-of-school education institutions. The importance of providing the young generation with general art education and students of pedagogical universities training is emphasized. Emphasis is placed on the expediency of mastering the theoretical foundations of the organization and implementation of musical activities in out-of-school educational institutions in the process of formal education. At the same time, the need to combine such formal education with non-formal art education is highlighted. It is emphasized that in the process of preparing students for future music and pedagogical activities in out-of-school educational institutions, it is valuable to involve students in artistic and pedagogical educational activities in musical artistic and creative groups at higher pedago­gical educational institutions. It is noted that such activities are examples of non-formal art education, and such experience of which s is an essential component of future music teacher training to work in out-of-school education.
Optimalisasi dalam Penetrasi Testing Keamanan Website Menggunakan Teknik SQL Injection dan XSS

SQLI (SQL Injection) and XSS are hacking techniques that are often used by hackers. This technique can find out the contents of the database by inserting a script on the website. This technique can be a threat if a website does not have security that can ward off such attacks. Hackers will look for loopholes using this technique in a login menu, searching, upload menu, input menu and URLs that have parameters ending in numbers, but not all websites that can be attacked use this technique if you don't limit the use of characters. This research was conducted to find out the gaps in a website that can be attacked with SQLI and XSS techniques and help optimize website security to avoid these attacks. Penetration testing will be carried out on a CV car rental website. Merdeka Auto Rental which is located in Padang City. This penetration testing uses SQLI and XSS techniques to find security holes in a website. The result of this test is that on the car rental website there are 12 gaps that are vulnerable to SQLI and XSS attacks, based on the results of these tests, a PHP script function is made that can remove all dangerous special characters. The script function is inserted in the PHP input, process and output files. The use of this script function does not apply to attacks other than SQLI and XSS so that if hackers use attack techniques other than that, this website is vulnerable to these attacks. After the script is inserted in the source code of the website, it can be concluded that the 12 known loopholes in the previous test without using the script function have changed status to not vuln or not vulnerable to SQLI and XSS attacks.
The analysis of SQ3R in reading learning process for mechanical engineering students of Politeknik Harapan Bersama

This research was motivated by low ability in English subject, reading comprehension in particular among students in Mechanical Engineering study program. Politeknik Harapan Bersama. Based on some related studies, SQ3R technique is as one of learning techniques that proved to enhance reading skills. This research was conducted with the assumption that the technique was able to improve reading comprehension. Therefore, the purpose of the current study was to determine the effect of SQ3R technique on students' reading comprehension. The research presented 2 variables namely SQ3R technique (X) and reading comprehension (Y). Pre-Experimental method of One Group Pretest-Posttest Design was implemented with one class of Mechanical Engineering consisting 26 male and 1 female student involved during the study. Data were gained through cloze test and observation sheet. All data were then processed and analyzed quantitatively to determine the effect of the SQ3R technique on the students' ability to comprehend the passage. The results showed that tcount (5.001) was greater than ttable (2.080). Thus, this can be concluded that SQ3R technique has positive effect (54.4%) on the students' reading comprehension.
Error Bounds for Discrete-Continuous Free Flight Trajectory Optimization

Abstract Two-stage methods addressing continuous shortest path problems start local minimization from discrete shortest paths in a spatial graph. The convergence of such hybrid methods to global minimizers hinges on the discretization error induced by restricting the discrete global optimization to the graph, with corresponding implications on choosing an appropriate graph density. A prime example is flight planning, i.e., the computation of optimal routes in view of flight time and fuel consumption under given weather conditions. Highly efficient discrete shortest path algorithms exist and can be used directly for computing starting points for locally convergent optimal control methods. We derive a priori and localized error bounds for the flight time of discrete paths relative to the optimal continuous trajectory, in terms of the graph density and the given wind field. These bounds allow designing graphs with an optimal local connectivity structure. The properties of the bounds are illustrated on a set of benchmark problems. It turns out that localization improves the error bound by four orders of magnitude, but still leaves ample opportunities for tighter error bounds by a posteriori estimators.