Reviewerly/exHarmony huggingface dataset:
Special aspects of formation of inclusive literacy of the students of pedagogical and non-pedagogical training at a university

Nowadays, the guidelines of the social and educational inclusion are reflected in the federal state educational standards of higher education of the latest generation in the form of the competence-based results of a future university graduate. The inclusive competence must be formed by the graduates of all training programs regardless of the nature of their future professional activity. Most university teachers express a doubt about the necessity of making the inclusive competence universal, based on the specific wording of this competence represented in the federal state educational standards of higher education for bachelors and specialists. The study proposes the inclusive literacy as an alternative to the inclusive competence, which is defined by the authors in the context of a functional approach to different aspects of human life. The paper justifies the expediency of considering the inclusive literacy rather than a competence or culture; formulates the content definition of the inclusive literacy in the context of a broad understanding of inclusion. The authors conducted a survey of 386 students of the Southern Federal University studying under the pedagogical and non-pedagogical training programs. Based on the analysis of the survey results, the authors identified common and specific problems occurring when implementing the practice of the inclusive literacy formation by the students of pedagogical and non-pedagogical training programs: the insufficient understanding of the essence of inclusion and its considering by the majority of the students mostly in the narrow context; low awareness about the regulatory grounds of the social and educational inclusion; formal attitude to the inclusion issues mediated by the specifics of training programs. The results of the study show that it is necessary to review the content of the inclusive competence recorded in the Federal State Educational Standard of Higher Education 3++ in the context of broad understanding of the inclusion and its correlation with the functional inclusive literacy.
Foreign body intrusion monitoring and recognition approach in a power distribution room based on the improved YOLOv4 deep learning network

In order to avoid safety problems caused by foreign bodies such as mice that may appear in the power distribution room and by demarcating the electronic fence area for key monitoring in the video surveillance screen, a foreign body intrusion monitoring and recognition approach in a power distribution room based on the improved YOLOv4 deep learning network is proposed. To optimize the detection effects, the YOLOv4 algorithm is improved from the aspects of network structure, frame detection, and loss function. At the same time, the channel pruning algorithm is used to prune the model to simplify the model structure. The experimental results show the effectiveness of the improved YOLOv4 deep learning network, which has high detection accuracy, fast detection speed, and takes up less space after pruning.
Distance learning technologies as a new stage of modern education

This article discusses the concepts of stimulation and motivation of staff. The purpose of the research is to study the ways of managing the work of staff. The main purpose of any organization or company is considered. Special attention is paid to the functions of stimulation and motivation. These functions define motivation as a psychological process. The concept of «labor motivation» is considered, which is key when working with staff at an enterprise. Common tasks are identified, which are based on the concepts of «motivation» and «stimulation». The results obtained can be used to evaluate the effective performance of employees in an organization or company, as well as when working to improve staff motivation.
Exploring the Effects of Data Augmentation for Drivable Area Segmentation

The real-time segmentation of drivable areas plays a vital role in accomplishing autonomous perception in cars. Recently there have been some rapid strides in the development of image segmentation models using deep learning. However, most of the advancements have been made in model architecture design. In solving any supervised deep learning problem related to segmentation, the success of the model that one builds depends upon the amount and quality of input training data we use for that model. This data should contain well-annotated varied images for better working of the segmentation model. Issues like this pertaining to annotations in a dataset can lead the model to conclude with overwhelming Type I and II errors in testing and validation, causing malicious issues when trying to tackle real world problems. To address this problem and to make our model more accurate, dynamic, and robust, data augmentation comes into usage as it helps in expanding our sample training data and making it better and more diversified overall. Hence, in our study, we focus on investigating the benefits of data augmentation by analyzing pre-existing image datasets and performing augmentations accordingly. Our results show that the performance and robustness of existing state of the art (or SOTA) models can be increased dramatically without any increase in model complexity or inference time. The augmentations decided on and used in this paper were decided only after thorough research of several other augmentation methodologies and strategies and their corresponding effects that are in widespread usage today. All our results are being reported on the widely used Cityscapes Dataset.
Conditions of formation and stages of mineralization of the Pyazbashi gold-sulfide-quartz deposits (Leser Caucasus, Azerbaijan)

&#x0D; &#x0D; &#x0D; We analyzed the conditions of the formation and stages of mineralization of the Pyazbashi gold-sulfide-quartz deposits. The deposits were determined to contain three structural-morphologic types of ore bodies: gold-quartz-sulfide – veinular, gold-bearing veins and the strip of gold-bearing metasomatites. We determined that in the deposits, quartz-pytire, quartz-carbonate and carbonate veins with gold and polymetal mineralization are confined to the volcanic-tectonic structures. Those volcanic-tectonic structures have various fracture systems, are complicated and have been inherited by later changes that occurred after the formation of the Lower and Middle Eocene volcanogenic complexes, and some of them have been embedded again. We de- termined that gold ore mineralization in the deposits is related to various hydrothermal-metasomatic formations and has developed in complex multy-stage process. Interaction of various veins and minerals that comprise them allow us to assume the following pattern in the sequence of the mineralization stages (from early stage to later stages): 1-quartz-sericite; 2-quartz-pyrite-molybdenum; 3-quartz- pyrite-gold ore; 4-quartz-polymetal; 5-carbonate. Gold-ore bodies are mainly complicated by aggregates of quartz-pyrite-gold ore stage of mineralization, which is the productive stage. We present the results of chemical analysis of native pyrite and chalcopyrite. We determined that native gold occurs as small, regular-shaped bodies in pyrite grains. In the veinlets of chalcopyrite, it is usually confined to marginal parts.&#x0D; &#x0D; &#x0D;
Design and Build a Attendance System and Employee Performance Assessment with a Website-Based Profile Matching Method

Attendance and performance appraisal of employees in a company have an important role because they can be used as consideration for the directors to review these employees, including PT Cakra Jasa Pacific. The performance assessment of PT Cakra Jasa Pacific is still carried out conventionally, namely by filling in the assessment sheet, so that the resulting assessment is subjective and less transparent. Attendance is one of the criteria used to assess employee performance at PT Cakra Jasa Pacific. However, attendance at PT Cakra Jasa Pacific is still manually by filling out attendance sheets. Therefore we need a system to evaluate employee performance in which there is a presence feature to reduce subjectivity in the assessment and change the attendance method so that it is not done manually. The method used as a decision support system is Profile Matching, and the system development method uses the waterfall. This system is built using the Laravel framework and MySQL database. The results of the percentage of system testing are 100% using BlackBox testing. The results of testing the profile matching method in the system run well and accurately with a precision value of 100%.
Pengaruh Bimbingan Belajar dan Motivasi Belajar Dengan Prestasi Belajar Matematika Melalui Model Pembelajaran STAD

The aims of this study were to find out (1) the effect of tutoring on mathematics learning achievement through the Student Team Achievement Division (STAD) cooperative learning model (2) the effect of learning motivation on mathematics learning achievement through the Student Team Achievement Division (STAD) cooperative learning model. ) (3) the effect of tutoring and learning motivation on mathematics learning achievement through the cooperative learning model type of cooperative Student Team Achievement Division (STAD). This study uses a quantitative approach and a type of correlational research. The population in this study were students of class X MA Sunan Ampel Surabaya while the sample used was students of class X IPS 2 MA Sunan Ampel Surabaya. This research instrument includes, questionnaires and tests. The test performed is a simple regression test and multiple regression. The results of the study were (1) there was no significant effect of tutoring on mathematics learning outcomes through the STAD Type Cooperative learning model. (2) There is a positive and significant effect of learning motivation on mathematics learning outcomes through the STAD Type Cooperative learning model. (3) The R square value of 0.200 or 20% of the results of learning mathematics through cooperative learning models of the Student Team Achievement Division (STAD) type are influenced by tutoring and learning motivation. While the remaining 80% is influenced by other factors not examined in this study.&#x0D;
The Strategy and Implications of Space Narrative Used in the User Experience Design for Mixed Reality Marketing Scene

With the development of technology such as AR/VR/MR, the mixed reality is being used in the marketing scene more and more frequently. But how can these new applications have been accepted by clients and customers in the big commercial space such as commercial complex in the urban center? What is the framework and design strategy for mixed reality implementations in these spaces? Space Narrative, as a space experience design tool, has been used in various types of space and scene, including commercial space. This paper discusses how to combine associated mixed realty interaction scene coherently through story or scenario, in order to enhance the connection between customer and space and empower the marketing campaigns in the commercial space, and finally upgrade the efficiency and revenue level of the space. It requires a cutting-edge implementation of new design strategy and practice with feedback. Thus, this paper also explores a practical project with mixed reality-oriented space narrative design. Based on the project, we look through the information transformation for sale and user experience and acceptance of the according mixed reality applications, and try to construct the strategy of approaches for mixed reality space narrative and the framework of its assessment, iteration and evaluation.
Usability of Lampung Heritage Virtual Reality Tour

Lampung Heritage Virtual Reality Tour was developed as a tool to educate the importance of Lampung’s historical heritage. It represents eight Lampung historical heritage sites in the virtual reality world, namely the Lampung Museum, Thay Hin Bio Vihara, Al-Anwar Mosque, Lampung Siger Tower, Krakatau Monument, Kerti Bhuana Temple, Nuwo Sesat Traditional House, and the Japanese Caves. Functional features of the Lampung Heritage Virtual Reality Tour are visiting virtual tourist spots and viewing information on virtual tourist attractions. Digital tourists can select a virtual tourist spot with the location panel. The user perception and satisfaction require a qualitative measurement to understand its impact on educating Lampung's historical heritage. Using usability, we should understand the quality of the Lampung Heritage Virtual Reality Tour. The tools to measure the usability level of the application are the User Acceptance Test and the System Usability Scale. There were 15 questions User Acceptance Test (UAT) with a composition of five questions affordance, four questions signifier, and six questions feedback. According to the SUS standard, we asked ten questions on the System Usability Scale (SUS). The result for UAT was an average of 95.75%, which consist of 95.00% affordance, 94.79% signifier, and 97.45% feedback. The result of SUS was Good, based on a score of 83.39. The Lampung Heritage Virtual Reality Tour meets good usability standards, making the application suitable.
Shared Governance among Nurses: A Descriptive Study from Jordan

Background: Shared governance of employees is crucial in building trust within healthcare organizations. Control over practice, ownership of actions, feeling of independence and involvement in work decisions significantly increase employees’ intent to stay, whereas exclusion from the decision-making process leads to a higher rate of turnover. Improving decision-making and enhancing collaboration among nursing staff and nurse leaders pave the way for greater autonomy and management of healthcare delivery. Purpose: The study aims to examine shared governance perceptions among Jordanian registered nurses in different clinical areas. Methods: A descriptive, cross-sectional design was used using the RN-focused index of professional nursing governance survey. A convenient sample consisting of 261 nurses was recruited from three hospitals in Jordan between 2017 and 2018. Results: The total shared governance score ranged between 86 and 344 with a mean of 175.6. There were slight differences in the total shared governance scores among the hospitals under study. However, when the sub-scales were compared across the three hospitals, some differences emerged, specifically in nurses’ total perceived personnel and total perceived goal and conflict. The median age of the sample members was 28 years and about a half of them (54%) were males. Conclusion: Our results demonstrated that there is a room to increase the level of nurses’ control and influence in decision-making, particularly in those departments that scored lower on the index of professional nursing governance. Implications for Nursing: The study results have implications in nursing administration, policy development and decision-making when choosing/adopting a model of organizational SG to cultivate excellence in the workplace. Keywords: Shared governance, Registered nurses, Work environment.
Cooking up A Connected Product

Adding a connected device to your portfolio can be challenging. Jonathan Pallant looks at how to pick the ‘perfect ingredients’
Dose uncertainty due to needle-tip localization error in prostate seed implantation

Purpose: This study quantified the dosimetric uncertainty caused by needle-tip detection errors in ultrasound images due to bevel-tip orientation differences, with respect to the location on template grid.Material and methods: Trans-rectal ultrasound (TRUS) system with physical template grid and 18-gauge bevel-tip brachytherapy needles were used.TRUS was set at 6.5 MHz in water phantom, and measurements were taken with 50% and 100% B-mode TRUS gains.Needle-tip localization errors were then retrospectively applied back to 45 prostate seed implant plans to evaluate the important planning parameters for the prostate (D 90 , V 100 , V 150 , and V 200 ), urethra (D 10 and D 30 ), and rectum (V 100 , D 2cc , and D 0.1cc ), following the ABS and AAPM TG-137 guidelines.Results: The needle-tip detection errors for 50% and 100% TRUS gains were 3.7 mm (max) and 5.2 mm (max), respectively.The observed significant decrease in prostate coverage (mean D 90 lower by 12.8%, and V 100 lower by 3.9% for smaller prostates) after seed placements were corrected by compensating the needle-tip detection errors.Apex of the prostate was hotter, and the base was cooler.Dosimetric difference for urethral and rectal parameters were not statistically significant.Conclusions: This study revealed that the beveled needle-tip orientation could considerably impact the needle tips detection accuracy, based on which the seeds might be delivered.These errors can lead to significant dosimetric uncertainty in prostate seed implantation.
A Comprehensive Review of Cloud Forensics and Blockchain Based Solutions

Digital forensics is the study of discovering evidence pertaining to digital crimes & attacks. To monitor and investigate cloud-based crimes, Cloud Forensics (CF) operates as a subfield of Digital Forensics. Cloud computing is a rapidly evolving, worldwide network of interconnected servers. Therefore, Cloud Forensics belongs to Network Forensics, which is a subset of Digital Forensics. There is yet to be an overt forensic revolution in the cloud service, which includes cloud businesses, cloud service providers, & cloud service customers. They cannot guarantee the security of their system or quality of their services that aid in criminal & cybercrime investigations without this crucial forensic capacity. This research study analyzes the forensics procedure, the difficulties of CF, and the tools available to help the investigation. In the context of Blockchain Technology (BT), the approaches to solutions and future possibilities of CF have been outlined. These investigations will pave the path for future scholars to have a deeper grasp of the difficulties and develop innovative solutions.
A Bayesian Approach to Probabilistic Solar Irradiance Forecasting

The output of solar power generation is significantly dependent on the available solar radiation. Thus, with the proliferation of PV generation in the modern power grid, forecasting of solar irradiance is vital for proper operation of the grid. To achieve an improved accuracy in prediction performance, this paper discusses a Bayesian treatment of probabilistic forecasting. The approach is demonstrated using publicly available data obtained from the Florida Automated Weather Network (FAWN). The algorithm is developed in Python and the results are compared with point forecasts, other probabilistic methods and actual field results obtained for the period.
A Study on the Significance of Japanese Classical Literature Education in Korea : Focused on Manyoushuu

As we have seen in this paper, Japanese classical education in Korea is in a serious crisis. Recognizing this reality, the professors of the Japanese classical literature major diagnosed that one of the main reasons was the existing teaching method used in the classical literature class. Therefore, we tried to overcome the crisis of Japanese classical literature education by introducing new teaching methods such as flipped learning, video, animation, etc. to classical literature education. It is true that such hard work has paid off. However, it is also true that the reality of Japanese classical literature education is becoming more difficult. In order to improve the reality of Japanese classical literature education even a little, this paper pointed out that ‘Why should we learn Japanese classical literature’, that is, the significance of Japanese classical literature education, is important. In other words, he said that it is important to share the significance of Japanese classical literature education between professors and students. And the relevance to Korea, which had been overlooked in the significance of Japanese classical literature education, was paid attention to. I think this paper is meaningful in that it re􋹲examined the significance of Japanese classical education to overcome the crisis of Japanese classical education, and raised the need to teach and learn Japanese classical literature in relation to Korea, which previous studies had not yet mentioned.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MENGGUNAKAN METODE PROMETHEE

Toko Sepeda Super Top is a shop that sells various kinds of bicycles in Sekadau Regency. Not a few consumers are confused in choosing a bicycle. Based on the survey, 59.3% of respondents stated that it is difficult to choose a new bicycle. To assist consumers in choosing a bicycle, we need a system that can support consumers in making decisions. This study utilizes a Decision Support System (DSS) to support Toko Sepeda Super Top consumers in choosing a bicycle that suits their needs. The DSS method used is the Promethee type I method with the criteria used in the form of brand, price, durability, design, weight, and accessories. The form of research used in this research is a case study with a software design method, namely the prototype method. The result of this research is a bicycle selection DSS software that can be accessed by two levels of users. Admin can process bicycle data by inputting, updating, and deleting data. Then ordinary users can use a decision support system with the Promethee method to assist in bicycle selection.
Analysis of the Efficacy of Real-Time Hand Gesture Detection with Hog and Haar-Like Features Using SVM Classification

The field of hand gesture recognition has recently reached new heights thanks to its widespread use in domains like remote sensing, robotic control, and smart home appliances, among others. Despite this, identifying gestures is difficult because of the intransigent features of the human hand, which make the codes used to decode them illegible and impossible to compare. Differentiating regional patterns is the job of pattern recognition. Pattern recognition is at the heart of sign language. People who are deaf or mute may understand the spoken language of the rest of the world by learning sign language. Any part of the body may be used to create signs in sign language. The suggested system employs a gesture recognition system trained on Indian sign language. The methods of preprocessing, hand segmentation, feature extraction, gesture identification, and classification of hand gestures are discussed in this work as they pertain to hand gesture sign language. A hybrid approach is used to extract the features, which combines the usage of Haar-like features with the application of Histogram of Oriented Gradients (HOG).The SVM classifier is then fed the characteristics it has extracted from the pictures in order to make an accurate classification. A false rejection error rate of 8% is achieved while the accuracy of hand gesture detection is improved by 93.5%.