Hasil untuk "Special types of environment"

R. Rajabioun

H. Goyal, D. Seal, R. Saxena

V. Sunderam

Alyson Brown, A. Mclachlan

Deepika Bhargava, Paranjoy Chaki, Aparajita Bhattacharyya et al.

Quantum thermal transistors have been widely studied in the context of three-qubit systems, where each qubit interacts separately with a Markovian harmonic bath. Markovianity is an assumption that is imposed on a system if the environment loses its memory within short while, while non-Markovianity is a general feature, inherently present in a large fraction of realistic scenarios. Instead of Markovian environments, here we propose a transistor in which the interaction between the working substance and an environment comprising of an infinite chain of qutrits is based on periodic collisions. We refer to the device as a working-substance thermal transistor, since the model focuses on heat currents flowing in and out of each individual qubit of the working substance to and from different parts of the system and environment. We find that the transistor effect prevails in this apparatus and we depict how the amplification of heat currents depends on the temperature of the modulating environment, the system-environment coupling strength and the interaction time. We further show that there exists a non-zero amplification even if one of the environments, that is not the modulating one, is detached from the system. Additionally, the environment, being comprised of three-level systems, allows us to consider the effects of frail perturbations in the energy-spacings of the qutrit, leading to a non-linearity in the environment. We consider non-linearities that are either of transmon- or of Kerr-type. We find parameter ranges where there is a significant amplification for both transmon- and Kerr-type non-linearities in the environment. Finally, we detect the non-Markovianity induced in the system from a non-monotonic behavior of the amplification observed with respect to time, and quantify it using the distinguishability-based measure of non-Markovianity.

Jose Luis Ponton, Sheldon Andrews, Carlos Andujar et al.

Interactive applications demand believable characters that respond naturally to dynamic environments. Traditional character animation techniques often struggle to handle arbitrary situations, leading to a growing trend of dynamically selecting motion-captured animations based on predefined features. While Motion Matching has proven effective for locomotion by aligning to target trajectories, animating environment interactions and crowd behaviors remains challenging due to the need to consider surrounding elements. Existing approaches often involve manual setup or lack the naturalism of motion capture. Furthermore, in crowd animation, body animation is frequently treated as a separate process from trajectory planning, leading to inconsistencies between body pose and root motion. To address these limitations, we present Environment-aware Motion Matching, a novel real-time system for full-body character animation that dynamically adapts to obstacles and other agents, emphasizing the bidirectional relationship between pose and trajectory. In a preprocessing step, we extract shape, pose, and trajectory features from a motion capture database. At runtime, we perform an efficient search that matches user input and current pose while penalizing collisions with a dynamic environment. Our method allows characters to naturally adjust their pose and trajectory to navigate crowded scenes.

ZENG Zhuo, ZHENG Honggang, XIANG Sheng et al.

As the bridge construction goes forward to the deep-water environments, the permanent floating bridge structures have attracted more and more attention from international scholars. The project cases of worldwide representative permanent floating bridges were presented. The structural systems of the built permanent floating bridges were summarized. The research and application advances regarding the mechanical features, the construction process, and the special configurations of the permanent floating bridges were introduced. Finally, from the perspectives of the engineering economy and environment applicability, the development prospect of permanent floating bridges was analyzed. The research shows that the permanent floating bridge structure has been applied in engineering around the world and has two types of structural systems, which are the continuous pontoon system and the discrete pontoon system. The permanent floating bridges adopted in deep-water environments have shown superior engineering economy. Based on further research and verifications, the permanent floating bridge structures can be applied in deep-water crossing projects.

А.О. Сюрикпаева

With modern development, digitalization in many countries is becoming a strategic priority area of economic development. The digital economy is an economic activity carried out through the internet, mobile communications, digital technologies, that is, virtual reality, in economic relations on production, distribution, exchange and consumption. The author gives a number of author's recommendations in the article for the systematic formation of the structure of an online store, e-commerce to increase the competitiveness of e-commerce, indicating that in addition to effective opportunities in the development of e-commerce, there are risks that threaten. Among them are the creation of a national research organization to improve the conditions for the development of digital business, the provision of land by the state for the construction of warehouses in the regions in the development of digital commerce, as well as the improvement of logistics networks, the use of new innovative models in the technological modernization of certain sectors of the economy, the introduction of new types of business plans, the approval of modern structures of public service. Given the dynamic development of digital business, in addition to traditional trade, IT specialists are in high demand in accordance with the requirements of the time.  At the same time, the author emphasizes the need to take state measures to train specialists in the field of digital commerce, including the organization of special courses or programs for rural residents in the regions. In order to strengthen the protection of consumer rights, the new version of the law «Оn protection of Consumer Rights» provides for additional regulatory measures. As we all know, such refined concepts as «electronic sales platform (marketplace)», «online store» and «information and advertising platform» have been introduced into the law. At the same time, the author proposes to introduce the term «e-commerce» and give it a scientifically consistent definition. According to the author, e-commerce contributes to the settlement of issues of consumer violations that occur when ordering services and works with a mobile phone. The article also proposes to ensure the mandatory protection of personal data about consumers and supplement the inadmissibility of claims by entrepreneurs that violate and (or) oppress the rights and legitimate interests of consumers. Keywords: digital economy, e-commerce, consumer, consumer rights, seller, buyer, digital environment, online store.

Yukako Inamura, Pankaj Kumar, Naoko Hirayama

Although water is a vital finite resource for sustaining life, it is under constant pressure from anthropogenic activities. Among the different types of surface water, lakes are particularly difficult to restore once water quality deteriorates due to their hydrological cycles and complex dynamics. This study compares policy implementation and its relationship to water quality improvement through spatio-temporal variation for two lakes in Japan: Lake Biwa and Lake Teganuma. We divided the analysis time frame into three periods to assess how the timing of policy implementation has affected the water quality and ecosystem services. Lake Biwa is an iconic and vital water resource in the region, and its conservation has been led by citizens and strong leadership from the governor since the 1960s. On the other hand, efforts to conserve the environment of Lake Teganuma began in the 1970s, and legislation played an important role in initiating and implementing the governance framework. The comparison of these two cases shows that while the efforts of subnational government and citizen are as powerful as legislation in protecting the lake environment, special legislation can guide subnational governments in establishing the necessary governance framework that fits local conditions and goals. Achieving regional sustainability in a human-environment system requires policy planning that goes beyond silo thinking, and this study clearly shows that cooperation between multilevel governments and relevant stakeholders, including citizens, is essential. The findings provide policy-relevant practical lessons in the quest for sustainable lake management.

Aleksandra B. Nikitina

The article is addressed to the heads of museums and libraries of educational institutions, college and university lecturers, school teachers and teachers of additional education, class teachers, advisors on educational work and the administration of educational institutions. The article examines the issue of how the museum and library space of an educational institution can become an effective space for informal education and a "Third Place" not only for teachers and students, but also for a wide range of local communities, as well as communities formed on the basis of common interests in the space of both a small town and a metropolis. We consider the educational space in close connection with the principles of participation (culture of participation) and the features of excursion and pedagogical activity based on the mastery of directing an educational event space. In our research, we rely on Russian and international experience in the development of "children's museums", participatory cultural institutions, "Third Places", as well as on the practices of modern theater pedagogy (drama in education), mediation and moderation. The article pays special attention to the study of the Laboratory of Sociocultural Educational Practices of the Research Institute of Urban Studies and Global Education of the Moscow City Pedagogical University, conducted in the 2024-2025 academic year, mainly using qualitative methods, in the process of developing the museum and library space of the Laboratory. This space is intended to become an innovative informal educational space within a formal educational institution and serve as a model for the development of similar spaces for other educational institutions. It is assumed that such a space is created inside classrooms where both current classes for students, graduate students, course participants and other participants in postgraduate education, as well as other events are held: seminars, conferences, club meetings and other types of educational activities. The initiators of meetings in this environment can be both employees of the educational institution and representatives of informal communities who are visitors to the educational space.

Ziyan Xiong, Bo Chen, Shiyu Huang et al.

The advent of deep reinforcement learning (DRL) has significantly advanced the field of robotics, particularly in the control and coordination of quadruped robots. However, the complexity of real-world tasks often necessitates the deployment of multi-robot systems capable of sophisticated interaction and collaboration. To address this need, we introduce the Multi-agent Quadruped Environment (MQE), a novel platform designed to facilitate the development and evaluation of multi-agent reinforcement learning (MARL) algorithms in realistic and dynamic scenarios. MQE emphasizes complex interactions between robots and objects, hierarchical policy structures, and challenging evaluation scenarios that reflect real-world applications. We present a series of collaborative and competitive tasks within MQE, ranging from simple coordination to complex adversarial interactions, and benchmark state-of-the-art MARL algorithms. Our findings indicate that hierarchical reinforcement learning can simplify task learning, but also highlight the need for advanced algorithms capable of handling the intricate dynamics of multi-agent interactions. MQE serves as a stepping stone towards bridging the gap between simulation and practical deployment, offering a rich environment for future research in multi-agent systems and robot learning. For open-sourced code and more details of MQE, please refer to https://ziyanx02.github.io/multiagent-quadruped-environment/ .

Yiping Dong

This article presents novel designs of autonomous UAV prototypes specifically developed for inspecting GPS-denied tunnel construction environments with dynamic human and robotic presence. Our UAVs integrate advanced sensor suites and robust motion planning algorithms to autonomously navigate and explore these complex environments. We validated our approach through comprehensive simulation experiments in PX4 Gazebo and Airsim Unreal Engine 4 environments. Real-world wind tests and exploration experiments demonstrate the UAVs' capability to operate stably under diverse environmental conditions without GPS assistance. This study highlights the practicality and resilience of our UAV prototypes in real-world applications.

Vyacheslav P. Spiridonov

A unifying scheme of classical special functions of hypergeometric type obeying orthogonality or biorthogonality relations is described. It expands the Askey scheme of classical orthogonal polynomials and its $q$-analogue based on the Askey--Wilson polynomials. On the top, it has two-index biorthogonal functions formed from elliptic hypergeometric series with the absolutely continuous measure determined by the elliptic beta integral. A new result is an inclusion of complex hypergeometric functions into the scheme. Its further potential generalizations are discussed as well.

W. J. Meijer, A. C. Kemmeren, E. H. J. Riemens et al.

This paper addresses the challenge of scaling Large Multimodal Models (LMMs) to expansive 3D environments. Solving this open problem is especially relevant for robot deployment in many first-responder scenarios, such as search-and-rescue missions that cover vast spaces. The use of LMMs in these settings is currently hampered by the strict context windows that limit the LMM's input size. We therefore introduce a novel approach that utilizes a datagraph structure, which allows the LMM to iteratively query smaller sections of a large environment. Using the datagraph in conjunction with graph traversal algorithms, we can prioritize the most relevant locations to the query, thereby improving the scalability of 3D scene language tasks. We illustrate the datagraph using 3D scenes, but these can be easily substituted by other dense modalities that represent the environment, such as pointclouds or Gaussian splats. We demonstrate the potential to use the datagraph for two 3D scene language task use cases, in a search-and-rescue mission example.

Nadezhda Bagdasaryan, Vladimir Korenkov, Irina Filozova

The formation of information systems (IS) in the modern sense is associated with the advent of computer tools. It is believed that the first information systems emerged in the 1950s. [1]. Developing rapidly and intensively, they have covered all spheres of human activity and have become very diverse in terms of purpose, types, architectural features, methods of collecting, presenting and processing data. IP has become an integral part of the life of both an individual and society as a whole, significantly transforming modern culture, in which traditional culture and digital technologies are inextricably linked. This article examines a special type of information systems widely used in the scientific and academic environment - open access repositories of publications, the main purpose of which is to provide accessibility and openness of the intellectual output of society. A look at the history and evolution of these systems helps to understand their place and role in the global social process of informatization of society, to comprehend the information needs of users, the prerequisites and context for the provenance of these needs.

Yuzhen Gao, Shipeng Chen, Hao Wang et al.

Background: Hepatic immune tolerance might contribute to the development of therapeutic resistance to immunotherapy. However, addressing this issue is challenging since the efficacy of immunotherapy in the context of liver metastasis (LM) remains poorly studied. Here, we aimed to establish an LM common immune feature (LMCIF) score to quantify the characteristics of LM immunotolerance across cancer types for assisting clinical disease management. Methods: Large-scale clinical data were collected to identify the prognosis of LM. Multi-omics datasets of metastatic cancers with LM special immune-related pathways (LMSIPs) from the Molecular Signatures Database (MSigDB) were used to obtain an LMCIF cluster. Based on differential expression genes (DEGs), a novel LMCIF score for the LMCIF cluster was constructed. In addition, multi-omics, and immunohistochemistry (IHC) data from the public and in-house cohorts were used to explore the features of LM, and LMCIF score. Results: Patients with LM had a worse prognosis and significantly lower infiltration of immune cells than patients with metastasis to other organs when analyzed with combined clinical and RNA sequencing data. After extracting the LMCIF cluster from 373 samples by utilizing 29 LMSIPs and validating them in a microarray cohort, an LMCIF score was established to confirm the role of the immunosuppressive environment as a contributor to the poor prognosis of LM across cancer types. Moreover, this LMCIF score could be used to predict the immune response of cancer patients undergoing immunotherapy. Finally, we identified that the majority of the 31 LMCIF genes exhibited a negative correlation with TME cells in LM patients, one of them, KRT19, which possessed the strongest positive correlation with LMCIF score, was confirmed to have an immunosuppressive effect through IHC analysis. Conclusions: Our results suggest that LM across cancer types share similar immunological profiles that induce immunotolerance and escape from immune monitoring. The novel LMCIF score represents a common liver metastasis immune cluster for predicting immunotherapy response, the results of which might benefit clinical disease management.

O. A. Stepanov, M. M. Stepanov

The article deals with a new phenomenon for the legal science the legal response to the consequences of human behavior in the virtual space.The subject of the research is the relations arising in the process of such response.The aim of the study is to analyze the legal response to the consequences of personal behavior in virtual space, including in the Russian Federation.The methodological basis of the study are logical and systematic methods of scientific knowledge, as well as methods of analysis and synthesis of legal phenomenaForeign and domestic experience of legal response to the consequences of human behavior in virtual space is studied.The peculiarities of legal response from the point of view of consequences for the person for malicious actions in virtual space, connected with leaving a digital footprint, are analyzed. Particular attention is paid to such characteristic of virtual space as the possibility of using its properties to implement the interest of the user, as well as consideration of virtual space through the prism of legal construction and digital sovereignty. It is stated that the legal construction, characterizing the essence of legal response to the consequences of behavior of an individual in the virtual space, should have the following meaning – "if there are harmful actions associated with the use of virtual space, it is necessary to provide a form of legal response, neutralizing such actions, otherwise the network functioning and use of electronic information resources will be accompanied by socially dangerous manifestations". At the same time the legal response to the relevant relations is considered through the prism of law enforcement results – conclusions are made about the peculiarities of such a response. Attention is focused on the peculiarities of legal response to the consequences of actions of an individual in virtual space in Russia and in China. It is noted that at the national level there is currently no universal model of legal response mechanism to the consequences of a person's actions in virtual space. It is concluded that this problem has a multidimensional nature, which is largely determined by the level of legal awareness of network users. Particular attention is paid to the need to use the potential of techniques and methods of special legal, social and psychological mechanism of law, which are considered to be an important factor in the development of law enforcement practice. The research shows that unlawful behavior in the virtual environment is closely related to various types of deviant behavior related to the use of Internet, which from the category of violating non-legal social norms (primarily, morality and ethics) turns into unlawful behavior, as it violates the requirements of law. Attention is drawn to the fact that at the national level there is currently no universal model of legal response to the consequences of human behavior in virtual space – each state goes its own way, the legal impact is often exposed to those relations which are recognized as the most important and relevant at the moment. Such a response, as a rule, is situational, often pursuing several goals (political, economic, ideological). Further study of the problem involves the need to develop a system of theoretical ideas about the forms of legal responsibility for the negative consequences of behavior in such a space.

V. Gaur, Krishna Gautam, Poonam Sharma et al.

The global rise in industrialization and vehicularization has led to the increasing trend in the use of different crude oil types. Among these mobil oil has major application in automobiles and different machines. The combustion of mobil oil renders a non-usable form that ultimately enters the environment thereby causing problems to environmental health. The aliphatic and aromatic hydrocarbon fraction of mobil oil has serious human and environmental health hazards. These components upon interaction with soil affect its fertility and microbial diversity. The recent advancement in the omics approach viz. metagenomics, metatranscriptomics and metaproteomics has led to increased efficiency for the use of microbial based remediation strategy. Additionally, the use of biosurfactants further aids in increasing the bioavailability and thus biodegradation of crude oil constituents. The combination of more than one approach could serve as an effective tool for efficient reduction of oil contamination from diverse ecosystems. To the best of our knowledge only a few publications on mobil oil have been published in the last decade. This systematic review could be extremely useful in designing a micro-bioremediation strategy for aquatic and terrestrial ecosystems contaminated with mobil oil or petroleum hydrocarbons that is both efficient and feasible. The state-of-art information and future research directions have been discussed to address the issue efficiently.

Sulong Zhou

This dissertation will combine new tools and methodologies to answer pressing questions regarding inundation area and hurricane events in complex, heterogeneous changing environments. In addition to remote sensing approaches, citizen science and machine learning are both emerging fields that harness advancing technology to answer environmental management and disaster response questions.

Shuyan Zhou, Frank F. Xu, Hao Zhu et al.

With advances in generative AI, there is now potential for autonomous agents to manage daily tasks via natural language commands. However, current agents are primarily created and tested in simplified synthetic environments, leading to a disconnect with real-world scenarios. In this paper, we build an environment for language-guided agents that is highly realistic and reproducible. Specifically, we focus on agents that perform tasks on the web, and create an environment with fully functional websites from four common domains: e-commerce, social forum discussions, collaborative software development, and content management. Our environment is enriched with tools (e.g., a map) and external knowledge bases (e.g., user manuals) to encourage human-like task-solving. Building upon our environment, we release a set of benchmark tasks focusing on evaluating the functional correctness of task completions. The tasks in our benchmark are diverse, long-horizon, and designed to emulate tasks that humans routinely perform on the internet. We experiment with several baseline agents, integrating recent techniques such as reasoning before acting. The results demonstrate that solving complex tasks is challenging: our best GPT-4-based agent only achieves an end-to-end task success rate of 14.41%, significantly lower than the human performance of 78.24%. These results highlight the need for further development of robust agents, that current state-of-the-art large language models are far from perfect performance in these real-life tasks, and that WebArena can be used to measure such progress.