Reviewerly/exHarmony huggingface dataset:
Design of an Automated Robotic System for Object Tracking and Targeted Lighting

This paper introduces a modular robotic system designed to provide targeted illumination for various work tasks by dynamically adjusting a spotlight’s orientation. A distinguishing feature of our system is its compatibility with MATLAB via a direct interface, allowing users to effortlessly implement and test their own algorithms for object detection and tracking. By combining the capabilities of an actuator unit, spotlight, and camera, the system is able to recognize and track different objects, providing precise lighting tailored to various applications. A comprehensive exploration of the underlying geometric relationships, control mechanism as well as the object detection and tracking methodologies is performed. An experiment was conducted to provide insights into the system’s real-world performance. The results demonstrate a high degree of reliability, with tracking accuracy predominantly constrained by the neural network. Our findings highlight the system’s potential as a versatile tool, particularly beneficial for researchers and developers aiming to experiment with and enhance object recognition and tracking algorithms.
A Smart Interactive Camera Robot Based on Large Language Models

The emergence of large language models (LLMs) has paved the way for advancing robotics capabilities, especially in intricate tasks that demand nuanced comprehension and precision. In this context, this paper introduces a novel interactive camera robot that harnesses LLMs to enhance human-robot interaction and optimize robot control. Specifically, an innovative technique that leverages the language understanding capabilities of LLMs to plan camera movement trajectories and waypoints is presented. In this study, the geometric relationships among the objects under capture are employed to plan the control strategy. Accordingly, this approach not only empowers sophisticated camera parameter manipulation and color adjustments but also fosters a natural and efficient human-robot interaction. Lots of experiments on real robots are conducted to evaluate the effectiveness of the proposed method under various scenarios. The results reveal robust performance across crucial measures, affirming the substantial potential of LLMs in elevating camera robot control and interaction experience. Videos of our experiments are available at https://youtu.be/zP-sTZHvXe4.
Recognition of Human Relationships Using Interactions and Gazes through Video Analysis in Surveillance Footage

In this paper, we hypothesize that human relationships can be estimated from interactions and the frequency and length of mutual gazes between an individual pair in videos, particularly those captured by surveillance cameras at convenience stores, supermarkets, and shopping malls. Recently, there has been significant research progress in human interaction recognition for video surveillance systems. However, mutual gaze detection in surveillance camera’s views still remains a challenge. To verify our hypothesis, we collected a simple mutual gaze dataset at our laboratory and developed a system for mutual gaze detection built on top of a gaze estimator. We then collected a dataset with two types of relationships in the replica room of a convenience store at our laboratory, deployed our developed mutual gaze detector and existing human interaction recognizer, and introduced a human relationship recognition model with a self-attention module. The results suggest that the model pays attention to detected mutual gaze signals and predicted interactions as it learns to classify the human relationships.
A Knowledge-based Full-time Non-homotopy Path Optimization Method Through Online Environmental Learning

Recently, many researchers propose different methods to solve the motion planning problem in the human-robot co-existing environments. However, when encountering crowds that suddenly appear, conventional motion planning algorithms often generate similar homotopy paths with slight local variations, which may not generate new feasible paths in time and thus lead to congestion for the robot. In order to address this problem, this paper proposes a knowledge-based full-time non-homotopy path optimization method through online environmental learning, which generates heuristic paths to guide motion planning by combing the pedestrian knowledge and the environmental structure. Firstly, a pedestrian matrix based knowledge base is proposed to record the pedestrian flow pattern with respect to different locations, and the corresponding pedestrian matrix is extracted according to the perception during the robot navigation process. Secondly, the environmental perception is performed surrounding the key obstacles that appears around the crowds to extract the feature points. Then, the extracted feature points are reused as prior knowledge in subsequent navigation. When crowds suddenly appear in the global path, the algorithm will prioritize searching a non-homotopy path to avoid crowds. The experimental results show that the method proposed in this paper can significantly reduce the time required for the robot to navigate and improve the success rate of navigation in crowded environments.
Individual Privacy and Data Protection Rights. The Legal and Economic Consequences of the Violation During the Covid-19 Pandemic

The basic constitutional freedoms and rights of a person and citizen are in principle unlimited: the full scope of their exercise is the rule, and the restriction determined by law can only be an exception based on explicit constitutional authority and the legitimate aim of the restriction determined by the Constitution. That being so, the restrictions - in addition to being based on constitutional authority and pursuing constitutional objectives - should be commensurate with the needs to achieve these objectives. This means that restrictive legal rules must be suitable for achieving the legitimate aim pursued, must not be stricter than necessary and must be balanced between the constitutionally guaranteed subjective right of the individual and the interests of society.In this paper, the authors point out the economic and legal consequences of the violation of individual privacy and data protection rights caused by the public disclosure of personal data of people who, at a certain time, were obliged to self-isolate due to suspicion of Covid-19 virus infection.&amp;nbsp;
DareChain: A Blockchain-Based Trusted Collaborative Network Infrastructure for Metaverse

With the continuous development of digital technology, the metaverse, as a concept of virtual and real fusion, is gradually becoming a reality. However, the development of trusted collaborative network technology that underpins the metaverse is still immature. Blockchain can support the construction of trusted collaborative networks due to its own characteristics of decentralization, transparency, and traceability. However, as blockchain can only support simple digital assets such as digital currencies and tokens, it cannot implement the trusted collaboration of complex digital assets in the metaverse. Therefore, this article proposes a blockchain-based trusted collaborative network infrastructure for future digital economy and society—DareChain. DareChain has proposed a novel collaborative-worker multi-chain system, trusted subject-object account model, layered model of smart contracts supporting trusted interactions, hyperlinear ledger consensus algorithm, and transaction model that supports privacy protection. It has been explored in metaverse applications in various scenarios such as government affairs, medical care, and finance to solve problems such as single content expression, few applications of business scenarios, low throughput, and easy leakage of security and privacy when blockchain is used as the underlying trusted collaborative network for the metaverse.
Small-sized radio-electronic digital module for building a nodal seismic system interacting with a UAV

Digital autonomous seismic systems (nodes) have become significantly widespread in recent years. The disadvantage of such systems is the inability to control the quality of the data received. Sharing the nodal system with drones allows for data quality control while maintaining the inherent advantages of nodal systems, such as flexibility in use and reliability. The work presents the result of creating a specialized digital node intended for joint use with drones. A molecular-electronic geophone with an extended operating frequency band of 1-300 was used as the primary sensitive element; the digital system provides autonomous high-bit recording of seismic data, transmission of data blocks to control their quality to drones and auto-calibration of recording channels.
Towards GeoAI as a Containerized Microservice

Geospatial Artificial Intelligence as a containerized microservice (GeoAIaaS) utilized microservice-based architecture for GeoAI applications by pre-defined mission recipes of handling geospatial data to lower the additional geography expertise barrier and improve the reusability of GeoAI methods. This paper conducts standalone, distributed developable, and simply deployable microservices for three phases of geospatial object detection application. The potential of GeoAIaaS across local workstations, edge computing, and distributed development is investigated and particularly the microservice for processing remote sensing images and OSM data is found to improve the capability of the open data sources. The code is available via https://github.com/Wjppppp/osm-building-detection-server.git.
Convergências e divergências no que se refere a competência em informação e as competências gestoras

It discusses the convergences and divergences related to information literacy and managerial skills. Therefore, we sought to conceptualize the expressions information literacy and its variants, as well as to describe what is understood by professional competencies, with managerial skills standing out among them. Some drivers of change are presented that will impact the performance of different professionals in different segments, in order to demonstrate whether the skills acquired by the information professional will, in fact, meet medium and long-term changes, as well as the new demands of society.
La formación en competencias digitales para la virtualidad y la inteligencia artificial: una nueva frontera de las multialfabetizaciones

Analytical study whose initial objective is to investigate the nature and properties of digital skills, which have become a fundamental factor in the new model of progress after successive crises. The incorporation within these competences of Visual Literacy and Artificial Intelligence is analyzed, as factors of new necessary knowledge, an incorporation that has been made following a model of confluence of scientific and academic topics in Education, where the impact has been very important. guaranteed by the process of visualization and data virtualization. The educational dimensions of Visual Literacy and Artificial Intelligence and their joint effect for educational innovation and the foundation of Education 4.0 are studied, taking into account their challenges and the educational models they are creating. The necessary proposals for the design of specific competence programs are analyzed, addressing their didactic context, their framework of methods, strategies and good practices, to end with the study of the DigComp 2.2 model as a scenario to define convergent training programs from Visual Literacy and Intelligence. Artificial and lay the foundations of a Literacy in Artificial Intelligence.
«The students like me less in digital lectures»

The COVID-19 pandemic actualized teaching in digital learning environments and brought a steep learning curve for teachers in higher education. Several studies focusing on students’ experiences of this period have gradually emerged, but there has been less on how teachers experience digital learning environments. Hence, the purpose of this empirical study was to gain knowledge about how teachers experienced online teaching of large groups during the pandemic. Two group interviews were conducted with experienced teachers. The main finding was that teaching in digital environments leads to a type of digital apathy. The teachers experienced black screens and a lack of response from students, having a negative effect on them. They become tired, demotivated, and drained of energy. They experienced losing their qualities as lecturers, becoming boring, and being less free in what they could say. Breakout groups were easy to manage, but many students would leave when these were introduced. Teaching in digital learning environments seemed to lead to a comfortable distance, which posed a risk for both students and teachers to become resigned. Therefore, this teaching format may be more demanding than teaching in physical environments. The interviews were conducted at a time when teaching in digital learning environments was novel, and the informants’ expectations may have been characterized by traditional teaching. Their experiences may be different in the long run.
METHODOLOGY OF ORGANIZING INDEPENDENT WORK OF FUTURE QUALIFIED WORKERS IN BLENDED LEARNING CONDITIONS

Relevance. The research is driven by changes in the field of professional education, the implementation of blended learning in professional (vocational-technical) education, the necessity for distance and online learning, preparation of future qualified workers for independent learning and self-organization, which requires the search for new approaches by pedagogical staff in organizing their independent work, and the need to develop a methodology for organizing the independent work of future qualified workers in blended learning conditions. The aim is to highlight the results of the research and methodology of organizing the independent work of future qualified workers in blended learning conditions, to enhance the effectiveness of organizing and conducting independent educational work by pedagogical staff, and the quality of its execution by educational seekers. Methods: studying scientific literature, normative-legal documents, empirical data regarding the organization of independent work of future qualified workers in blended learning conditions, to identify the current state, analyze the methods of organizing independent work of educational seekers in the conditions of blended learning in institutions of professional (vocational-technical) education. Results: Based on the analysis of scientific literature, normative-legal documents, and empirical data, trends in organizing independent work in institutions of professional (vocational-technical) education have been identified and analyzed; a methodology for organizing the independent work of future qualified workers in blended learning conditions has been developed; its concepts and implementation stages have been defined. Conclusions: The implementation of the developed methodology contributes to the successful performance of educational tasks by learners, mastery of professional knowledge, formation of skills and abilities, development of self-organization skills, work and time planning, self-control, enhancement of the level of digital culture, which prospectively will manifest through increased levels of confidence and independence of the individual, ability to plan one's time, interact in a digital society, be competitive in the labor market, mobile, and professionally grow throughout life.
ORTHOGONAL SYSTEMS AND PERMUTATION POLYNOMIAL VECTORS OVER MODULAR ALGEBRAS

Known results on orthogonal systems and permutation polynomials vectors over finite fields are extended to modular algebras of the form Lν = K[X]/(p(X)ν ), where K is a finite field, p(X) ∈ K[X] is an irreducible polynomial, ν = 1, 2, . . ., and to the algebra of formal power series L[[Z]], where L1 = K[X]/(p(X)) = L.
Research into the world of Cloud-Virtual Reality

Virtual Reality technology has not been able to penetrate the mainstream consumer market due to restrictions on hardware and content. With the advancement of cloud computing technologies, Virtual Reality hardware and technology applications may now be supported strongly. The metaverse, cloud VR gaming, and cloud VR stimulator are just a few of the real-world applications that are now employing cloud computing in Virtual Reality. We can lower the cost of Virtual Reality technology which would begin a new era of many users to apply cloud-based technologies. With the aid of technology, it will be possible to operate from anywhere without having to transport a lot of equipment. The performance, usability, and compatibility of Virtual Reality software and hardware can be improved by cloud computing on the level of hardware and content. The VR dataset is made available for public collaboration through the Internet using a VR-Cloud server. The digital asset that represents the layout of our pedestrian bridge comprises images of all the streets, buildings, trees, and other urban amenities. In the virtual environment of the metropolitan area, where they run and stroll according to predetermined behaviour scenarios, the cars and people are created and entered. By employing cloud communication software to analyse simulations of vehicles and pedestrian crowds and to debate design ideas, users share the VR reality by connecting to the VR Cloud servers from remote devices. This research demonstrates how VR-cloud may be combined with Neuralink and NFT in the virtual world for future enhancement. This paper is a research note on cloud computing and its application using the Virtual Reality (VR) platform for the modern world with futuristic innovations. Keywords: Cloud Computing, Metaverse, Neuralink, Virtual Reality, VR-Cloud.)
The use of information as a strategy for management in SUS hospitals during the COVID-19 pandemic

OBJECTIVE: To understand the perception of health managers regarding the use of information for management in SUS hospitals. METHOD: This is an exploratory study with a qualitative approach. The central theme of the research refers to the use of health information and the role of information as a management strategy in SUS hospitals during the spread of the coronavirus (SARS-CoV-2) in the city of Campo Grande/MS. Three public hospitals, a reference in the care of suspected or confirmed cases of COVID-19, participated in the research. The interview was conducted with 12 managers responsible for the sectors: Administrative, Archive (SAME), Health Surveillance, Information Technology (IT) or Service/Reception. The interviews were analyzed and interpreted using Laurence Bardin's Content Analysis technique with the support of the IRaMuTeQ software. CONCLUSION: Health information and records were fundamental for defining health actions during the pandemic. The main impacts were the perception of health professionals regarding the importance of networking and, mainly, the use of information to generate knowledge in the SUS.
ABOUT PARADOXES OF INTELLECTUALITY

The problem of intelligence has a wide research potential and attracts more and more attention of scientists and specialists in various fields. Today, the fundamental ideas about the structure and functions of intelligence in its natural (human) and artificial dimensions, the relationship of artificial intelligence with the natural in their unity and difference, are debatable. The purpose of the article is to study intelligence as a paradoxical (largely contradictory) phenomenon, the task is to search for the essential foundations of intelligence, to strengthen the arguments in favor of the existence of two relatively independent types of intelligence, each of which has specific functions. The main method of research is dialectics in relation to the format of logical algorithms inherent in intelligence. The main results of the article are the recognition of the paradoxical nature of human intelligence, due to the complex interaction of its positive and negative types (sides). In the process of historical evolution, the prevalence of one of the types of intellectuality is determined by the progressive or, on the contrary, counter-progressive course of social development. Now in one group of countries there is an average increase in the power of the positive functions of the intellect, in the other group, on the contrary, an increase in its negative components is clearly noted. The novelty lies in the formulation and substantiation of the thesis that in the conditions of progressive social development, positive intelligence strengthens its position in comparison with negative intelligence. On the contrary, in conditions of stagnation and especially regression, the position of negative intelligence strengthens, which is expressed in the growth of schizophrenic deviations, various phobias, etc. Directions for further research based on this work may include more thorough and differentiated studies of positive and negative intelligence, their unity and differences, and the dialectics of relationships in structural and functional terms in various historical eras, including the modern one. Along with this, questions of the essence, paradoxicality and inconsistency of intelligence can be useful to the developers of its artificial invariant.
Model inovatívneho vzdelávania v oblasti manažérstva na technických univerzitách

The sustainability of education depends on a strategic vision of education in the university environment focused on individual forms of society. The strategic vision of education at technical universities is oriented towards knowledge, digitization, online education, innovative methods of education, and all forms of management and business education platforms. The main goal of the paper was to create a model of teaching at a technical university based on the synergistic effect of economic subjects, digitization, all forms of management, and innovative didactic methods with a focus on future education. As part of this research, we implemented the project "Student companies" using digitization, an e-learning approach in teaching and connecting all forms of management as in a business environment. The results of the implemented project recorded benefits in the improvement of students´ key competencies, soft skills, social competencies, financial and economic competencies, and their impact on the level of evaluation of study subjects. The project´s output was the proposal of a model of engineering education at the university. This model can be a tool for changing education at technical universities.
Fostering Environmental Autonomy Support in an English Course for Middle School Learners in Western México

The scope of this study is to observe features of environmental autonomy support and to identify aspects of autonomy. To this end, a case study was designed and implemented in a state school in the western region of Mexico, with the participation of twelve secondary school pupils, ages 12 to 14, who attended a non-required 40-hour course using the autonomous learning approach. A research journal was kept tracking the whole process, gaining knowledge of autonomous learning and examining the phenomenon in a real-life context. The journals were analyzed with the help of Atlas.ti software, and the researcher made inferences from the resulting data, including environmental autonomy support as well as the reactions of the pupils to the autonomous learning process. The analysis of data reveals the language-learning context and its tendency to foster an autonomy-supportive atmosphere. Data seems to cast light on two major issues: the importance of fostering an environment that encourages autonomous learning-related behavior, and the necessity of providing appropriate scaffolding strategies to assist students in their development of autonomous learning. The study provides valuable insights into autonomy support and autonomous learning in education, but its limitations include a small sample size and potential challenges in generalizing findings to broader contexts.