Air pollution
Researchers at the University of Porto have conducted a comprehensive review of the potential of Wave Energy Converters (WECs) integrated into breakwaters as a promising approach to enhance coastal resilience while generating renewable electricity from waves. The study, funded by Fundacao para a Ciencia e a Tecnologia (FCT), identified the
Density functional theory
Recent research on MXene quantum dots (MXQDs) has shed light on the crucial role of surface functionalization and quantum dot size in determining their electronic and optical properties. Conducted by researchers from the University of Ostrava, the study employed time-dependent density functional theory to investigate the effects of surface terminations
Denial of service attacks
Researchers from the University of Milan have developed a new approach to detecting distributed denial-of-service (DDoS) attacks in Internet of Things (IoT) environments using federated learning with adaptive client selection. This method addresses the challenges of traditional centralized machine learning methods, which raise privacy and security concerns due to data
Autonomous vehicles
New research has been conducted on the intersection of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs) on highways, emphasizing the importance of anticipating interactions between the two types of vehicles. The study, led by researchers from Zhejiang University, aimed to address the dual challenges of personalized driving preference modeling
Explosions
Researchers at Huazhong University of Science and Technology have conducted a comprehensive study on the effects of wire parameters on the electrical and shock wave characteristics during the underwater electrical wire explosion (UEWE) process. According to the study, the parameters of the wire and circuit significantly influence the discharge characteristics
Cancer
The field of oncology has witnessed a paradigm shift with the advent of immunotherapy, which has brought new hope to cancer patients. However, despite its promising results, immunotherapy still faces significant challenges in terms of low response rates and severe side effects. Recent research from Wuhan University has shed light
School construction
Researchers at Sichuan Normal University have made a significant contribution to the field of information and data systems with their pioneering work on constructing intuitionistic neighborhoods for three-way clustering. The study aimed to address the issue of misclassification caused by data uncertainty in numerical attribute information systems. By proposing an
Energy conservation
Research conducted by the University of Birmingham has found that buildings contribute to over 30% of global energy consumption. By optimizing building performance, individuals can reduce energy consumption, improve occupant comfort, and enhance well-being. The study utilizes a data-driven multi-objective optimization framework that allows for flexible space usage, leveraging surrogate
Pseudomonas aeruginosa
Scientists at the Spanish National Research Council (CSIC) have made a groundbreaking discovery in the field of bacterial cell-wall remodeling mechanisms. The research, funded by the National Institutes of Health (NIH), the Spanish Government, and the Swiss National Science Foundation (SNSF), has shed light on the structure and function of
Air pollution control
Researchers at Carleton University and the National Research Council Canada have conducted a comprehensive review of field implementation studies of data-driven building operation and maintenance (DBOM) applications. The study aimed to compare the implementation processes and outcomes of various DBOM applications, including model-based predictive control (MPC), occupant-centric control (OCC), automated
Rensselaer Polytechnic Institute
Researchers at Rensselaer Polytechnic Institute have developed a new statistical framework for structural health monitoring using ultrasonic guided waves. This innovative approach captures the non-stationary dynamics of guided wave propagation, enabling more accurate and robust damage detection and classification. The framework utilizes complete guided wave signals, including reflected waves, to
Electric cars
Research has proposed an economic dispatch strategy to optimize the economy of distribution networks (DN) with a large number of electric vehicles (EVs) connected. The strategy incorporates a data-driven uncertainty set into a two-stage robust optimization (TSRO) model to minimize planning and operational costs. The model has been tested on
