Reviewerly/exHarmony huggingface dataset:
Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network for Visible-Infrared Person Re-Identification

Visible-infrared Cross-modality Person Re-identification (VI-ReID) is a critical technology in smart public facilities such as cities, campuses and libraries. It aims to match pedestrians in visible light and infrared images for video surveillance, which poses a challenge in exploring cross-modal shared information accurately and efficiently. Therefore, multi-granularity feature learning methods have been applied in VI-ReID to extract potential multi-granularity semantic information related to pedestrian body structure attributes. However, existing research mainly uses traditional dual-stream fusion networks and overlooks the core of cross-modal learning networks, the fusion module. This paper introduces a novel network called the Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network (ADMPFF-Net), incorporating the Multi-Granularity Pose-Aware Feature Fusion (MPFF) module to generate discriminative representations. MPFF efficiently explores and learns global and local features with multi-level semantic information by inserting disentangling and duplicating blocks into the fusion module of the backbone network. ADMPFF-Net also provides a new perspective for designing multi-granularity learning networks. By incorporating the multi-granularity feature disentanglement (<i>m</i>GFD) and posture information segmentation (<i>p</i>IS) strategies, it extracts more representative features concerning body structure information. The Local Information Enhancement (LIE) module augments high-performance features in VI-ReID, and the multi-granularity joint loss supervises model training for objective feature learning. Experimental results on two public datasets show that ADMPFF-Net efficiently constructs pedestrian feature representations and enhances the accuracy of VI-ReID.
Application Research on Two-Layer Threat Prediction Model Based on Event Graph

Advanced Persistent Threat (APT) is now the most common network assault. However, the existing threat analysis models cannot simultaneously predict the macro-development trend and micro-propagation path of APT attacks. They cannot provide rapid and accurate early warning and decision responses to the present system state because they are inadequate at deducing the risk evolution rules of network threats. To address the above problems, firstly, this paper constructs the multi-source threat element analysis ontology (MTEAO) by integrating multi-source network security knowledge bases. Subsequently, based on MTEAO, we propose a two-layer threat prediction model (TL-TPM) that combines the knowledge graph and the event graph. The macro-layer of TL-TPM is based on the knowledge graph to derive the propagation path of threats among devices and to correlate threat elements for threat warning and decision-making; The micro-layer ingeniously maps the attack graph onto the event graph and derives the evolution path of attack techniques based on the event graph to improve the explainability of the evolution of threat events. The experiment’s results demonstrate that TL-TPM can completely depict the threat development trend, and the early warning results are more precise and scientific, offering knowledge and guidance for active defense.
Metaverse Applications and Its Use in Education

The Metaverse, an amalgamation of virtual reality (VR), augmented reality (AR), and digital technologies has captured substantial attention for its potential to reshape human interaction, collaboration, and experiences. This comprehensive review examines Metaverse and its applications across multiple domains. The paper begins by elucidating the foundational technologies of the Metaverse, such as VR, AR, and spatial computing. It traces the evolution of the concept and its significance in bridging physical and digital realms. The review delves into diverse applications of the Metaverse. It explores how the Metaverse facilitates novel forms of social engagement, immersive Education, and remote collaboration. It also assesses its impact on entertainment, commerce, healthcare, and personal expression. The review emphasizes the potential of the Metaverse to redefine workspaces, enable unique gaming experiences, and revolutionize economic models. Ethical concerns, technical challenges, and regulatory frameworks are discussed, emphasizing the need for privacy, data security, and ethical guidelines. In conclusion, the paper underscores the transformative potential of the Metaverse across industries while highlighting the necessity for ethical considerations. The ongoing evolution of the Metaverse demands continuous research and collaboration to ensure its responsible integration into society.
Inducing Virtual Reality to Improve Human-Virtual Social Interaction and Learning Perceptions

The aim of this study is to investigate Human-Virtual social interaction in a metaverse learning environment and draw conclusions about the efficacy of metaverse technologies in education, namely in (target segment). The main research was conducted by analysing survey data and written comments from respondents. This research demonstrates that the human-virtual social collaboration that occurs during immersion performed using the metaverse is significantly predicted by the use of teacher pedagogy and the influence of this aspect of technology. The results support the findings of previous studies, which highlight the importance of technology-enabled learning environments when teaching using virtual reality (VR) technologies. This study also shows through the recorded statistical data in the form of feedback and observations that learning is more interesting and increases student engagement by utilizing social interaction through the Metaverse classroom learning model. This research also reveals that social interaction with the metaverse learning environment helps to create increased human interaction i.e. with classmates and teachers, and is accompanied by increased interaction with machines simultaneously, making it a valuable tool for teachers in aligning the Merdeka curriculum in Indonesia. In conclusion, the overall results prove that metaverse technology can encourage active participation, engagement, enthusiasm, and achievement of learning goals in the classroom.
Blockchain adoption in Healthcare: Models, Challenges, and Future Work

The utilization of blockchain technology (BT) has arisen as a viable remedy for tackling crucial challenges in financial system (bitcoin) and the healthcare sector, including data security, interoperability, and transparency. The integration of BT in the healthcare industry has significant promise, but it is a complex process that is impacted by several variables. This systematic review seeks to provide a thorough comprehension of the models, obstacles, and forthcoming research pertaining to the use of BT in the healthcare sector. The paper examines the fundamental ideas and models that are crucial in comprehending the implementation of BT in the healthcare sector. The theories encompassed in this list are the Technology Acceptance Model (TAM), Innovation Diffusion Theory, Trust and Transparency Theories. These theories together provide a systematic framework for evaluating the process of adoption. The systematic review results provide an overview of the present state of blockchain implementation in the healthcare sector. The challenges that have been highlighted include obstacles related to regulations, difficulties in achieving interoperability, concerns over data privacy, and the need for a strong and reliable infrastructure. Furthermore, the advantages of using BT, including heightened data protection and increased healthcare services.
Design and Development of Indian Sign Language Character Recognition System

The purpose of this study is to look into the challenges involved in categorizing Indian Sign Language (ISL) characters. While a lot of research has been done in the related field of American Sign Language (ASL), not as much has been done with ISL. Lack of standard datasets, obscured traits, and variance in language with geography are the key barriers that have hindered much ISL research. Our study aims to progress this field by collecting a dataset from a deaf school and applying various feature extraction techniques to extract useful information, which is then input into a range of supervised learning algorithms. Our current results for each approach include four fold cross-validation. What sets our work apart from earlier research is that the validation set in our four-fold cross-validation contains photographs of people who are not the same people as those in the training set. Hand gestures and signs are used by those with speech impairments to communicate. Understanding what they're trying to say is challenging for the average person. Though extremely uncommon, there are many systems that convert data to Hindi. Therefore, it is imperative to implement a system that enables the general public to understand and interpret all signals, gestures, and communications. It will close the communication gap that exists between normal people and those who have speech difficulty. The two primary research approaches centered on human-computer interaction are sign language recognition and learning. Multiple sensors are required in order for data flow to be understood in sign language. This research paper focuses on the development of a Hindi-language training tool that can detect images and interpret what someone else is trying to say to persons who have speech impairments. Keywords: Indian Sign Language (ISL), American Sign Language (ASL), Feature Extraction, Supervised learning, Sign Language, etc.
PERAN MEDIA PEMBELAJARAN DALAM UPAYA MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK KELAS V SD IT BUNAYYA

Abstract. The purpose of this study was to determine the role of instructional media in increasing the learning motivation of fifth grade students at SD IT Bunayya. This study used descriptive qualitative method. Data collection techniques in the form of observation and interviews. Sources of data obtained from class V teachers and students as research subjects. From the results of this study it can be concluded that the role of the learning environment has a very large influence on student learning motivation and the teacher's role in increasing student motivation, namely through an individual approach, special guidance and pleasure of learning so that students have good learning motivation.
Lightweight image super-resolution via multi-branch aware CNN and efficient transformer

A hybrid architecture model of multi-branch aware CNN and efficient transformer (MAET) is proposed and implemented for lightweight image super-resolution (SR). In the model, the multi-branch aware block (MAB) removes the redundant branches when their local spatial features are captured by other branches, while the efficient transformer block (ETB) applies the scaled cosine attention (SCA) to scale up the model capacity by generating mild attentional values from the pixel pairs. By removing the redundant branches and applying SCA to scale up the model capacity, we believe that the model is able to improve the performance while maintaining a low computation complexity. Specifically, MAET consists of a multi-branch aware CNN module (MACM) and an efficient transformer module (ETM). MACM is a lightweight CNN module composed of a serious of MABs to extract hierarchical local features. ETM is composed of ETBs to fully exploit global information by modeling long-term image dependencies to refine the texture details. ETB adopts the feature split strategy, residual post-normalization, and SCA for efficient multi-head attention. Extensive experiments demonstrate that the proposed MAET achieves better accuracy and visual improvements against the state-of-the-art lightweight image SR methods in terms of quantitative and qualitative evaluations.
A Cognitive Radar Anti-Jamming Strategy Generation Algorithm based on Dueling Double DQN

With the improvement of the cognitive ability of the jammer, the electromagnetic countermeasure environment has become more complex, posing significant challenges to the anti-jamming performance of cognitive radar. Cognitive radar’s anti-jamming capabilities often depends on the correct generation of anti-jamming strategies, which makes the strategy generation a research hotspot cognitive radar anti-jamming. This paper proposes a cognitive radar anti-jamming strategy generation algorithm based on Dueling Double DQN (D3QN). The algorithm utilizes the state-value function and advantage function to estimate the quality of each radar echo and signal, thereby reducing the update error of the policy network. Additionally, to improve the speed of strategy generation, the proposed algorithm directly inputs the original echo into the policy network. Simultaneously, a jammer model with different working modes and interference type is established, and the corresponding jamming strategy is generated by the received echo, which is closer to the real confrontation environment. The effectiveness and robustness of the proposed algorithm are verified through high-fidelity adversarial experiments with variable jamming strategies.
MODERN LEARNING TECHNOLOGIES IN GERMANY

The article describes the terms definitions "learning technologies", "mixed learning", "online learning", "virtual learning", "extended learning"; the modern technologies influence on the classes conduct and the information assimilation by students are analyzed; programs used during the educational process in Germany are researched. It is determined that Germany is one of the leading countries in the implementation of innovative modern technologies in the educational process.&#x0D; Technical capabilities in the field of e-learning are constantly expanding and adapting, and that fact can lead to new concepts of learning. Modern learning technologies constantly enrich students, but blind trust in technological process creates new problems. Despite modern issues, the pandemic, the significant increase in the number of immigrants, Germany remains a country that does not completely neglect conventional methods of education. New learning technologies are more likely to be seen as complementary to existing and proven learning methods. A wide selection of study methods, that can be individually combined to form a full study plan, is ideal for students of higher educational establishments. All in all, the goal of the learning process is to teach students as quickly and deeply as possible.&#x0D; It is established that Germany is actively introducing elements of virtual reality and artificial intelligence into the educational process, as they are extremely interesting for today’s youth. The possibilities of creating conditions for combining online and offline learning are being actively tested in order to achieve the highest results in training of highly qualified employees.&#x0D; The development of learning environments and learning concepts with the digital educational media integration should solve educational problems with the help of using technical capabilities. The variety of software greatly facilitates communication and work with students, and therefore German lecturers actively use various applications and, as a result, involve students in active work and collaboration.
TRAINING OF FUTURE PHILOLOGISTS USING MODERN INFORMATION TECHNOLOGIES: CONCEPTUAL FUNDAMENTALS OF THE PROBLEM RESEARCH

The article substantiates the conceptual foundations of the problem of forming the professional competence of future philologists by means of modern information and communication technologies. Based on the analysis of the notion of the concept, its main features are defined (presence of a goal, a leading idea, the programmatic nature of the concept, prognostic essence). It has been proven that for the formation of the concept of professional training of future philologists by means of modern information and communication technologies, modern theoretical developments in the field of pedagogics are of great importance (the concept of “Language as unity”, the concept of “productive pedagogics” by M. Lipman, the pedagogics of multiliteracies, the concept of digitalization). The main characteristics of the pedagogical concept are defined as: subject relationships in the educational process; development of the educational environment of the institution of higher education and its external relations; development of a set of innovative pedagogical technologies of higher education institutions; development of the society of continuous education. The components of the concept of professional competence formation for future philologists by means of information and communication technologies are substantiated – relevance, purpose, contradictions, mechanism of implementation and assessment of the effectiveness of ICT in the pedagogical process. The leading idea of the research has been formulated: the formation of professional competence of future philologists (as specialists who implement native language and foreign language communicative processes in further professional activity) is determined by level, content, types and techniques of implementation of the resource of modern information technologies, combined into a complete scientific and methodological system, which is created, developed, and implemented in the informational educational environment of the higher education institution, taking into account the principles of its functioning in the post-postmodern society with the corresponding social order for a highly qualified specialist-philologist, and in the conditions of the crisis organization of the information space due to the risks and challenges of the last decade.
Article of Reading Speed and Comprehension

This study is an attempt to investigate reading speed and comprehension of the first semester English Department students at the University of Benghazi. To accomplish this aim, AceReader, which is an online reading speed software, has been used to elicit students’ reading speed (in words per minute) as well as their reading comprehension level. The methodology, which has been used, is the mixed-method approach. The results revealed that students of the control group who received the Reading Comprehension I developed their reading speed and comprehension while no significant improvement has been recorded in the experimental group with extensive reading material. The main contribution of this study is that English graded readers do not increase students’ reading speed and comprehension which contradicts the literature of the previous studies related to this topic. The researchers anticipate that this study will pave the way to more studies on reading speed using online tools.
Pushing the boundaries of the quarantine model: Philosophical concerns and policy implications

The quarantine model, recently proposed by Pereboom and Caruso, is one of the most influential models developed to date in the context of criminal justice. The quarantine model challenges the very idea of criminal punishment and asserts that nobody deserves punishment on a fundamental level. Instead, in order to deal with offenders, it proposes a series of incapacitation measures based on public safety concerns. In this article, we examine several objections to the quarantine model that demonstrate how, in our view, it can be improved. These mainly pertain to (2.1) the difficulty of reliably identifying dangerous individuals and consequently the need to base confinement decisions on probability, and (2.2) the potential for the quarantine model not to properly deter certain crimes. Three additional objections are raised with respect to (3.1) the rights that are potentially suppressed in the quarantine model; (3.2) the role of “genetic justice”; and (3.3) the difficulty it faces accommodating reasons-responsiveness. Whereas these objections do not constitute knock-down arguments against the quarantine model, they highlight issues that invite closer scrutiny, at least if it is to be considered as a credible framework for the development of viable policies in criminal justice.
Development of basic approaches to organizing methodical work to eliminate deficities in professional training of teachers based on informal education

Introduction . Intensive and global changes in the education system that have occurred in recent years, the conditions of digitalization and convergence of education, changes in value orientations and a decrease in interest in learning among the younger generation place ever-increasing demands on the professional competencies of teachers and the development of their personal qualities. One of the significant ways that can significantly improve the professionalism of teachers and improve the quality of education in general is methodical support for the process of eliminating professional deficits of teachers based on informal education. Based on the above, the purpose of this article is to develop and substantiate the main approaches to organizing methodical work to eliminate deficiencies in the professional training of teachers based on informal education. Materials and Methods . The research was carried out by analyzing scientific literature on the research problem, analyzing regulatory sources, and summarizing our own practical experience on this topic. Studying the scientific literature on this topic, the history of the formation of the methodical service in Russia, the current state of methodological work in general education, and the results of an empirical study aimed at assessing the methodical competence of general education teachers were analyzed. Research methods: analysis of theoretical and regulatory literature, historiographic analysis, generalization, formulation of conclusions, analysis of practical experience, questionnaires, method of expert assessments. Results . To summarize the above, the generalized characteristics of the methodological service during the period of its modernization can be described as internally contradictory. On the one hand, the processes of humanization of education contributed to the revelation of the creative potential of talented teachers, who at that time created a number of original schools, enriching pedagogy with a number of new approaches to teaching and upbringing, new methods and technologies of teaching. The results of the study, confirming the presence of deficiencies in certain components of professional training of teachers, have updated the task of finding measures to solve pressing problems for the regional education system. The competency improvement project developed for these purposes was based on the use of informal education. Discussion and Conclusions . A condition for the effective implementation of methodical work by means of informal education is the formation of a digital educational environment, which provides the opportunity to diagnose the professional competencies of a teacher and develop personalized learning trajectories based on diagnosis. Informal education of a teacher should be implemented in formalized organizational and managerial conditions that make it possible to track the individual dynamics of the teacher, identify areas of his professional difficulties, and provide expert support if necessary.
THE USE OF SMARTPHONES IN THE DIDACTIC PROCESS OF A MODERN SCHOOL

Nowadays, a person can hardly do without a gadget. All participants in the educational process of a modern school are also actively involved in the use of technical means in the didactic process. In the context of the 21st century, it is crucial for a modern teacher to recognize the challenges of the times, be mindful of gadget addiction, and understand both the positive and negative attributes of smartphones. Furthermore, it is essential for parents to comprehend the value of a smartphone as a source of educational information.Practical evidence suggests that only close collaboration between schools, families, and teachers ensures effective use of technology by students. Pedagogically expedient cooperation will enable students to acquire better knowledge in the modern world.