Article
Multidisciplinary Sciences
Won-Chi Jung, Jinsu Kim, Namje Park
Summary: Attackers are increasingly infiltrating enterprise LANs with more intelligent and crafty methods each year. Despite efforts to protect against external attacks, it remains challenging to effectively respond to the growing threats. Network isolation techniques currently in use struggle to efficiently execute security functions, leading to inefficiencies in handling internal requests.
Review
Environmental Sciences
Jozef Lisowski
Summary: This article introduces a combined method of remote sensing, artificial neural networks, and game theory to develop a system for safe ship traffic management at sea. It uses serial data transmission from ARPA anti-collision radar to support the computer-assisted maneuvering decisions of navigators when encountering a large number of ships. The safe and optimal trajectory of a ship is determined using static optimization, dynamic programming with neural constraints, and positional and matrix games. The presented algorithms are then used for computer calculations in a real navigational situation in the Skagerrak-Kattegat Straits recorded on the radar screen of the r/v HORYZONT II research/training vessel.
Article
Humanities, Multidisciplinary
Jianghua Yang, Mengzhu Zhang
Summary: This article examines the human-technology interactions in social media platforms and constructs a conceptual framework to understand digital inequality. The study finds that platform affordance has both positive and negative effects on digital inequality, weakening mechanisms of social inequality while reshaping the operation of social structural factors.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Syed Ali Hassan, Muhammad Adnan Khalil, Fabrizia Auletta, Mariangela Filosa, Domenico Camboni, Arianna Menciassi, Calogero Maria Oddo
Summary: A system based on deep convolutional neural network is proposed to accurately detect and classify contaminants in the food and medical packaging industries, improving cleanliness and hygiene.
Article
Computer Science, Information Systems
Sai Shreya Nuguri, Prasad Calyam, Roland Oruche, Aniket Gulhane, Samaikya Valluripally, Janine Stichter, Zhihai He
Summary: vSocial is a cloud-based virtual reality learning environment system that aims to provide flexible group learning content control and enhanced user experience. It can be deployed using the High Fidelity social VR platform, meeting educational standards while offering an immersive learning experience.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Physics, Fluids & Plasmas
Jeanne Decayeux, Vincent Dahirel, Marie Jardat, Pierre Illien
Summary: This study introduces a model to explore the motion characteristics of isotropic colloids interacting with solute particles in the environment. The interactions lead to a spontaneous phase transition near the colloid, resulting in directed motion and enhanced diffusion over long timescales.
Review
Environmental Sciences
Jian Zhao, Meiqi Lin, Zhenyu Wang, Xuesong Cao, Baoshan Xing
Summary: Engineered nanomaterials (NMs) are increasingly released into the environment with the rapid development of nanotechnology. Most scenarios show that nanotoxicity can be further lowered under environmental conditions. The environmental risk of NMs is generally low, but specific scenarios such as water bodies and soil near point sources require more attention.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Shathya Duobiene, Karolis Ratautas, Romualdas Trusovas, Paulius Ragulis, Gediminas Slekas, Rimantas Simniskis, Gediminas Racukaitis
Summary: This research proposes a smart environmental monitoring system using IoT technology and wireless sensor networks. The selective surface activation induced by laser technology allows the integration of sensor nodes into plastic housing, enabling low-cost temperature and humidity monitoring. The system displays real-time sensor data on a web server and can be accessed by multiple clients. Additionally, the sensor nodes can be powered by harvesting energy from surrounding electromagnetic radiation.
Article
Engineering, Environmental
Jia Tian, Yufeng Wang, Xingfei Zhang, Wei Sun, Haisheng Han, Zhiyuan Yu, Tong Yue
Summary: The paper presents a novel technological scheme for the safe disposal and resource utilization of arsenic-alkali slag, which combines chemical precipitation and fractional crystallization. Through leaching, selective removal of arsenic, and evaporation crystallization, the process achieves no secondary pollution and realizes the reuse of wastewater, producing products that meet environmental requirements.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Review
Construction & Building Technology
Marzieh Namdari, Chang-Seo Lee, Fariborz Haghighat
Summary: Ozone is a critical air pollutant, and catalytic decomposition technologies, particularly MnOx-based catalysts, show high efficiency and durability in removing ozone. These catalysts have advantages such as low cost, high catalytic activity, and the ability to decompose ozone to oxygen at room temperature.
BUILDING AND ENVIRONMENT
(2021)
Article
Biochemistry & Molecular Biology
Shuai Jiang, Qiang Du, Changrui Feng, Lina Ma, Zhang Zhang
Summary: CompoDynamics is a comprehensive database that provides sequence compositions and associated features for a wide range of species, offering a wealth of information for comparative analyses across different species and gene groups.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Sahin Akdag, Zehra Altinay
Summary: Digital stories play an important role in education, enhancing students' awareness of safe school environments and promoting the professional development of educators. Through digital stories, teachers effectively conveyed important information about safe school environments, and prospective special education teachers also recognized the effectiveness of digital stories.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Engineering, Aerospace
Nicholas J. Peters, Andrew Wissink, John Ekaterinaris
Summary: This study investigates the construction of reduced order models (ROMs) for store separation from aircraft and spacecraft. Results indicate that proper orthogonal decomposition (POD) performs most efficiently for load prediction, while surface splines and Kriging interpolation provide accurate and fast load predictions for oscillating store cases. The ROM-based surrogate model constructed can accurately predict store trajectories under intermediate conditions.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Automation & Control Systems
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Summary: This paper presents a robot motion planning approach that considers landmark uncertainty in the environment and computes an exact expression for collision probability under Gaussian distribution assumptions, which is computable in real-time. Experimental and simulation results demonstrate that this approach is more effective compared to other methods.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Computer Science, Information Systems
Francesco Caturano, Gaetano Perrone, Simon Pietro Romano
Summary: Researchers have proposed an intelligent agent called Suggester, which recommends actions to penetration testers to address common issues in automating the testing of XSS vulnerabilities in web applications. The agent, through training and collaboration, improves the accuracy of attacks and demonstrates the scalability of the proposed solution.
COMPUTERS & SECURITY
(2021)