Reviewerly/exHarmony huggingface dataset:
Forensic Analysis of Drones Attacker Detection Using Deep Learning

Purpose: This research proposes deep learning techniques to assist forensic analysis in drone accident cases. This process is focused on detecting attacking drones. In this research, we also compare several deep learning and make some comparisons of the best methods for detecting drone attackers.Methods: The methods applied in this research are YOLO, SSD, and Fast R-CNN. Additionally, to validate the effectiveness of the results, extensive experiments were conducted on the dataset. The dataset we use contains videos taken from drones, especially drone collisions. Evaluation metrics such as Precision, Recall, F1-Score, and mAP are used to assess the system's performance in detecting and classifying drone attackers.Results: This research show performance results in detecting and attributing drone-based threats accurately. In this experiment, it was found that YOLOV5 had superior results compared to YOLOV3 YOLOV4, SSD300, and Fast R-CNN. In this experiment we also detected ten types of objects with an average accuracy value of more than 0.5.Novelty: The proposed system contributes to improving security measures against drone-related incidents, serving as a valuable tool for law enforcement agencies, critical infrastructure protection and public safety. Furthermore, this underscores the growing importance of deep learning in addressing security challenges arising from the widespread use of drones in both civil and commercial contexts.
Patriotic Education in Secondary Vocational Education: Creation and Implementation of the General Educational Subject "Russia in the World"

In the article, the author presents methodological approaches to the development of the general education discipline “Russia in the World”. It is indicated that the “Russia in the World” program is a patriotic program that systematizes the entire historical process and implements strategic guidelines for education. As part of the program, patriotic education is effectively carried out at NMPC. The author in the article speaks in some detail about the design and implementation of the academic discipline “Russia in the World”. As a result of the study, a conclusion is formulated that this program is quite effective, since with its help it was possible to establish the main models, problems and ways of patriotic education of students. It is noted that the high effectiveness of patriotic education within the framework of the development of the OD “Russia in the World” is due to such factors as the systematic nature of the program, reliance on the patriotic potential of historical science, inclusion in the professional training system and taking into account the psychological and other characteristics of students. In this regard, the conclusion is formulated that at the present stage of development, quite effective models have been developed for the patriotic education of the younger generation that are applicable in practice.
Self-Efficacy in the Context of Professional Activity

This article examines the concept of self-efficacy, highlights the main approaches to its study, components, properties, factors and functions. The methods of diagnosis and development of this concept are also revealed. It is shown that the development of self-efficacy affects success in professional activity and is one of the important success factors. This concept refers to a person's ability to effectively use their resources, skills and knowledge to achieve their goals. Self-effective people have high self-confidence, faith in their own abilities and confidence in achieving results. They are able to motivate themselves, make decisions and act decisively in difficult situations. Self-efficacy contributes to increased productivity and quality of work, the development of leadership and leadership skills, as well as the ability to self-development and self-regulation. It helps to cope with difficulties and strive for continuous improvement in the professional field. Understanding and developing self-efficacy are important aspects of career success, so it becomes an integral factor in professional activity. In conclusion, the problems of self-efficacy are considered, which are a common phenomenon in modern society and affect the results of people's activities in various spheres of life, from professional activities to personal life.
Digital Intellectual Property and its Protection

Purpose — to determine the meaning and content of new terms of the theory of law, which will later be used in other branches of law. To actualize the problem of digital intellectual property objects. Identify the gray zones of legal regulation that have arisen in practice and analyze changes in judicial practice in 2022-2023. Methods. Classical methods are used. It showed high efficiency: a comparative legal, dialectical-materialistic method, formal-legal. Results. The list of intellectual property objects is expanding. New entrepreneurial activities are emerging, based on the collection of information and the creation of 3D models. Gaps in legislation lead to many years of litigation, unforeseen expenses, the inability to determine the outcome of a legal conflict. As a legislative proposal: to eliminate the identified problems, it is advisable to revise Article 1225 of the Civil Code of the Russian Federation "Protected Results of Intellectual Activity and Means of Individualization" taking into account those objects that have formed in the construction sector. Discussion. Actualization of problems in the terminology of the theory of law, which create difficulties in the application of legal norms in various types of legal activity. Increasing the importance and scientific value of interdisciplinary research. It is necessary to unify terminology affecting digital intellectual property objects in various branches of law. The protection of intellectual rights can be strengthened.
Policy Framework for Women’s Economic Empowerment: What is Amiss?

Abstract The paper is an assessment of the policies of the government of India addressing the issue of women’s economic empowerment and gender equality. The paper highlights the systemic issues related to women’s inclusion in the policy framework, focusing on women and the labour market. In the process it briefly explores the barriers faced by women in accessing labour markets and critically examines the current government programmes aiming to lower these barriers. The arguments locate the fault-lines of the policies that rarely take into account the social and patriarchal constructs and hence impact the overall designs and financing strategies. The paper extensively uses government documents, secondary resources, and databases provided by the government in support of the arguments made.
Probability Matching

Abstract Chapter 5 describes an experiment in which human subjects are asked to play a computer game with real monetary payoffs for correctly guessing the outcome of a binary lottery. Most subjects’ guesses conform to an irrational behaviour known as probability matching, in which the frequency of their guesses matches the underlying probability of the binary lottery. In addition to probability matching, we find different tendencies towards randomization under different payoff schemes, as predicted by Chapter 2’s evolutionary model of behaviour, and even after controlling for a wide range of demographic and socio-economic variables. We also find several individual differences in the tendency to maximize or randomize, correlated with wealth and other socio-economic factors. Surprisingly, subjects who have taken probability and statistics classes, and those who self-reported finding a pattern in the game, are more likely to act irrationally, underscoring the importance of environment as a driver of behavioural anomalies.
Bigdata clustering and classification with improved fuzzy based deep architecture under MapReduce framework

The current state of economic, social ideas, and the advancement of cutting-edge technology are determined by the primary subjects of the contemporary information era, big data. People are immersed in a world of information, guided by the abundance of data that penetrates every element of their surroundings. Smart gadgets, the IoT, and other technologies are responsible for the data’s explosive expansion. Organisations have struggled to store data effectively throughout the past few decades. This disadvantage is related to outdated, expensive, and inadequately large storage technology. In the meanwhile, large data demands innovative storage techniques supported by strong technology. This paper proposes the bigdata clustering and classification model with improved fuzzy-based Deep Architecture under the Map Reduce framework. At first, the pre-processing phase involves data partitioning from the big dataset utilizing an improved C-Means clustering procedure. The pre-processed big data is then handled by the Map Reduce framework, which involves the mapper and reducer phases. In the mapper phase. Data normalization takes place, followed by the feature fusion approach that combines the extracted features like entropy-based features and correlation-based features. In the reduction phase, all the mappers are combined to produce an acceptable feature. Finally, a deep hybrid model, which is the combination of a DCNN and Bi-GRU is used for the classification process. The Improved score level fusion procedure is used in this case to obtain the final classification result. Moreover, the analysis of the proposed work has proved to be efficient in terms of classification accuracy, precision, recall, FNR, FPR, and other performance metrics.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN DEVELOPING THE SKILLS OF THE CENTURY THE TWENTY-FIRST AMONG EDUCATIONAL LEADERS IN LIGHT OF SMART DIGITAL TRANSFORMATIONS

The study aimed to identify proposals to activate the role of artificial intelligence in developing the skills of the century The twenty-first among educational leaders in light of smart digital transformations, and the study adopted the curriculum Qualitative, the researcher conducted interviews with (20) faculty members from Jordanian universities Governmental and private. The results of these interviews showed that faculty members presented a range Proposals to activate the role of artificial intelligence in developing twenty-first century skills among leaders Educational education in light of smart digital transformations included: activating modern technology in all its forms The educational process in Jordanian public and private universities continues on an ongoing basis within their centers and structures Administrative and organizational, universities innovate modern mechanisms that contribute to enhancing the use of intelligence applications Artificial among educational leaders, educational leaders in Jordanian universities seek to develop Their skills by accepting change and not resisting it, and the universities’ keenness to activate electronic platforms Based on modern technologies that are compatible with current and future requirements and goals, we direct Jordanian universities, in their policies and future plans, seek to raise awareness among educational leaders of the importance of activating Applications of artificial intelligence and spreading the culture of digital transformations in educational circles. The study recommended Conducting further studies related to artificial intelligence and modern technologies and linking them to other variables
THE DEGREE OF APPLICATION OF KNOWLEDGE MANAGEMENT AMONG DEPARTMENT HEADS AT THE UNIVERSITY OF BAGHDAD FROM THE POINT OF VIEW OF THE FACULTY

A field study aimed to determine the degree of application of knowledge management among department heads at the University of Baghdad from the point of view of the faculty. The research adopted the descriptive analytical method. The research community consisted of (1103) faculty members in the colleges of education at the University of Baghdad. The research sample was chosen by a simple random method by (25%) of the research community, as the number of sample members reached (280) of the teaching staff. A questionnaire was designed and the questionnaire consisted of four areas (the concept of knowledge management, knowledge generation, knowledge organization, and knowledge application). The researcher confirmed its validity and reliability. The results of the research data were analyzed using the (SPSS) program, and I reached the most important results: Department heads have awareness of the importance of spreading and supporting the culture of applying knowledge management in various fields in the departments of the colleges of education / University of Baghdad and activating knowledge management activities among the teaching staff, which drives and motivates them to accomplish work and achieve goals.. In addition to arriving at a number of recommendations and proposals related to the research
Do the People Matter in Policymaking in Ghana? A Reflection on the E-Levy and Debt Exchange Programs

The extent to which the masses have a say in matters concerning their lives is crucial in governance. It makes a significant amount of knowledge to say that people vote for elected policymakers to make policies that will make their lives better off and not the opposite. However, in the making of policies, the views of the people who either benefit or suffer the ramifications of policies are not taken into consideration. Therefore, the content analysis methodology has been employed in this study to systematically analyze secondary sources about the recent adoption of the E-Levy policy and Debt Exchange Program to ascertain whether the people mattered in adopting and implementing these policies. The adoption of these policies has raised a lot of controversies, with the public agitating and calling for its termination. The government of Ghana, being keen on continuing with the implementation of these policies as the only way out of the country's economic hardship, raises a lot of questions. After a systematic analysis of the literature, the paper argues that both policies were passed without the involvement of the people. The implication of the government’s failure to adopt a participatory policymaking approach accounts for the citizenry's loss of trust in the government.
Development of Radar System for Laser Tracking System

Korea Astronomy and Space Science Institute (KASI) developed an satellite laser ranging (SLR) system for tracking space objects using ultra-pulsed lasers. For the safe operation of SLR system, aircraft surveillance radar system (ASRS) was developed to prevent human damage from high power laser transmitted from the SLR system. The ASRS consists of the radar hardware subsystem (RHS) and main control subsystem (MCS), in order to detect flying objects in the direction of laser propagation and then stop immediately the laser transmission. The RHS transmits the radio frequency (RF) pulse signals and receives the returned signals, while the MCS analyzes the characteristics of received signals and distinguishes the existence of flying objects. If the flying objects are determined to be existed, the MCS sends the command signal to the laser controller in SLR system to pause the laser firing. In this study, we address the interface and operational scenarios of ASRS, including the design of RHS and MCS. It was demonstrated in the aircraft experiments that the ASRS could detect an aircraft and then stop transmitting high power laser successfully.
Study on the Visual Tactility of 3D Virtual Material Images According to Lighting Environments

When shopping online, customers rely on three-dimensional images of digital products to make their purchase decisions. These decisions are often influenced by the emotional response the digital images elicit. Lighting can play a crucial role in enhancing the three-dimensional effect of virtual reality visualization technology, thereby creating a spatial atmosphere that can stimulate consumer emotions while providing valuable product information. The significance of this study lies in its ability to analyze how lighting conditions affect a customer
Importance of Using Interactive Methods in Russian Language Lessons

This article is devoted to the relevance of using interactive methods of teaching Russian as a foreign language in medical universities. This allows to activate the learning process, as a result of which students develop skills, knowledge and competences necessary for communication in various fields.
Elder Biaoqing: investigating the indexicalities of memes on Chinese social media

Abstract This paper adopts a digital ethnographic approach to analyze concrete communicative practices with Elder Biaoqing, a type of graphic semiotic resources comparable to emojis and memes, typically designed for and used by older people on Chinese social media. Following Silverstein’s theorizing, it reveals the emergence of multiple indexicalities of Elder Biaoqing that are a result of several social factors: the growth of an older population online, people’s reflections on their communicative needs engendered by specific social facts, and people’s ethno-metapragmatics. The study of Elder Biaoqing reveals users’ agency in creating semiotic resources, the inequality between digital natives and digital migrants, and age anxiety in Chinese society. The findings invite a re-imagination of social facts – the existence of an online–offline nexus and a re-thinking of theories for sociocultural research in a digital era – ontological perspectives on multimodal resources and digital infrastructures, developments of the theoretical perspective of indexicality, and a total-semiotic-fact approach to digitally mediated social interaction.
Optimizing Collaboration Skills in the 21st Century: Recent Innovations in Project Model Differentiated Learning

Collaboration skills are important. Therefore, group learning needs to be held for hands-on experience that results in understanding and effective learning methods. This study aims to analyze the effect of project model differentiated learning on students' collaboration skills in grade V elementary school in science subjects. This type of research is a quasi-experiment with a one-group pretest-posttest design. The sampling technique used was the saturated sampling technique with 26 students. The research instruments used in the form of learning style questionnaires, observation sheets of the learning process in the classroom, and observation sheets to measure student collaboration skills consist of initial and final observation sheets. Data analysis used in this research is descriptive analysis technique and inferential analysis technique with Paired Sample t Test. Before the hypothesis test, the prerequisite test includes the normality test and homogeneity test. The average collaboration skills of grade V students before being given treatment using the differentiated learning project model were none in the Very High category, 9.99% in the High category, 70.76% in the Medium category, and 19.76% in the Low category. After being given treatment using a differentiated learning project model, there were 9.23% in the Very High category, 59.23% in the High category, 31.54% in the Moderate category, and none in the Low category. Furthermore, data processing is carried out with t-value ≥ critical t-value (39.034 &gt; 2.05954), which indicates that there is a positive effect of the differentiated learning project model on student collaboration skills in grade V elementary school.
Hate Speech in Tiktok Comments in the First Debate of the 2024 Vice Presidential Candidates

Hate speech is common on social media today. The advancement of technology is the reason why people pursue the freedom of opinion and the delivery of information that is not necessarily true. This study aims to describe some of the hate speeches that occurred during the 2024 presidential democratic party. More precisely, the researchers took data from netizen comments after the first debate of the 2024 vice president candidate. The method in this research uses qualitative descriptive with a pragmatic approach. The data used is a netizen's comment that contains hate speech on social media tiktok. The data-gathering technique uses logging and documentation. The technique analyzes the data by classifying what kind of hate speech it belongs to after explaining what it means. The results of this study revealed forms of hate speech that were found, among other things, insulting, provoking, and polluting the good name of a 2024 Vice President candidate. Based on the analysis of data on hate speeches on netizen comments on tiktok, researchers found data that was intended to harm a person's good name and honour and could lead to social conflict.
Analysis of Syntactic Material in the Textbook of SDN 03 Cemaka Putih Class 1-3

This research is entitled "Analysis of Syntactic Material in Textbook Material at SDN 03 Cempaka Putih Grades 1-3." Many people do not know that syntactic material has also been studied since elementary school, therefore the researcher decided to conduct this research. The purpose of this research is to find out what material is related to syntax in class 1-3 textbooks at SDN 03 Cempaka Putih. This type of research is descriptive qualitative. The data collection technique was carried out through observation by borrowing textbooks from grade 1-3 teachers at SDN 03 Cempaka Putih and carrying out reading, listening and note-taking techniques. The subject of this study is the syntactic material contained in the textbooks used at SDN 03 Cempaka Putih grades 1-3. The results showed that of the 17 textbooks used at SDN 03 Cempaka Putih grades 1-3, there were 9 materials related to syntax. The material found in the textbooks used at SDN 03 Cempaka Putih grades 1-3, namely words and sentences.
Controlling the Mobile Robot with the Pure Pursuit Algorithm to Tracking the Reference Path Sent from the Android Device

Many of the equipment and machines we use in our everyday lives have changed due to major advancements in today's technology. Smartphones, which have made great progress especially in the last decade, perform many tasks in addition to interpersonal communication. Controlling robots, which are increasingly used in daily life and widely included in the literature, is one of these tasks. In this study, the pure pursuit algorithm was used to control the position of a non-holonomic differential drive mobile robot, and the path information to be tracked was received from an Android mobile device as a reference. An application design has been carried out for Android devices. The information for the path drawn here was transferred via the internet to a Google Spreadsheet. Coordinate information obtained from Google tables in MATLAB was separated as x and y axis information and entered into MATLAB/Simulink as waypoints of the pure pursuit algorithm and the position control of the robot was carried out. Error analysis was made by taking the differences between the reference path and the actual movement and the control performance was examined. Additionally, the effect of the approach distance value of the pure pursuit algorithm on the error is presented.