
Cu-Based Atomic Catalysts for the Electrochemical Hydrogenation of Nitrate to Ammonia

Changes in Alcohol Consumption Behaviour in a Large Population of Japan during the COVID-19 Pandemic


An Overview of the Transition from Amorphous Carbon to an Ordered Graphitic Crystalline Plane for Applications

Does Leaf Rolling Serve as a Phenotype Index for Drought Tolerance in Grasses? A Review

Morphological Transformation of NiCoMoSeOx from Nanosheets to Nanorods for Enhanced Oxygen Evolution

Long-duration Catalytic Steam Reforming of 2nd Generation Bio-Ethanol

Kinetics for Catalytic Pyrolysis of Organic Solid Wastes

Advances in Paper-Based Ammonia Sensors in Environment: Sustainable Materials, Nanotechnology Integration, and Smart Analytical Platforms


Optimization of a Reverse Osmosis Desalination and Indirect Ocean Capture for a Polygeneration System


Dear Colleagues, Dynamic processes in nanocatalysis are actively reshaping the frontiers of materials science, energy conversion, and environmental remediation. These advances—spanning real-time catalytic performance, sustainable technology, and mechanistic insights—have garnered increasing attention from both academic and industrial communities. In response, our journal is pleased to launch a Featured Papers Collection, dedicated to capturing foundational and forward-looking research, highlighting the latest progress and inspiring further exploration in the field. We encourage researchers and leading experts in nanocatalysis and related areas to submit original research articles, reviews, perspectives, and letters that reflect the latest progress, showcase innovative methodologies, and demonstrate practical impact. Join us in advancing this rapidly evolving domain by sharing your cutting-edge work.

Complex systems, characterized by high dimensionality, nonlinearity, strong coupling, and uncertainty, are ubiquitous in modern science and engineering, spanning fields such as aerospace, robotics, power grids, biological networks, and social economies. The control of such systems is fundamental to ensuring their stability, reliability, and optimal performance. Traditional control methods often face challenges in dealing with the intricate dynamics and large-scale nature of complex systems. The rapid advancement of artificial intelligence and information technology has ushered in unprecedented opportunities for intelligent control. By integrating advanced modeling, analysis, and control strategies, intelligent control offers promising solutions for mastering complex system behaviors, enhancing autonomy, and enabling innovative applications. This journal calls for cutting-edge research that explores novel theories, methodologies, and applications of intelligent control for complex systems. We seek contributions that bridge the gap between theoretical innovation and practical implementation, focusing on robustness, adaptability, efficiency, and scalability in control design. Topics of Interest Include (but are not limited to): System Modeling: Neural network-based modeling and identification, Complex network theory and dynamics analysis, Modeling and analysis of multi-agent systems, Modeling of switched systems with time-delays Research Objectives: Stability, stabilization, and robust control, Passivity, dissipativity, and finite-time control, State/output synchronization and consensus control, State estimation, filtering, and fault detection Control Methodologies: Event-triggered and self-triggered control, Data-driven control and reinforcement learning-based control, Impulse control and intermittent control, Adaptive control, sliding mode control, and fuzzy logic control Application Domains: Formation control and cooperative tracking for robot swarms or UAVs, Intelligent manufacturing and smart factory process control, Secure communication and network synchronization, Image encryption/ decryption and information security Submission Guidelines: Authors are invited to submit their manuscripts through our online submission system. Please consult the Instruction for Authors before submission. Article Processing Charges (APCs) are waived before December 2026. Submission Link: https://sciflux.org/authors/submissions Journal Homepage: https://www.sciltp.com/journals/ams Editorial Office Contact: ams@sciltp.com Submission Deadline: 31 December 2026 Join AMS to share your innovative research, connect with global experts, and contribute to the advancement of applied mathematics and statistics field. We look forward to receiving your high-quality submissions! Sincerely, AMS Editorial Office

Hypervirulent Klebsiella pneumoniae (hvKp) is distinguished from classical K. pneumoniae by its ability to cause community-acquired, invasive infections, such as pyogenic liver abscess and endophthalmitis, even in healthy individuals, whereas the classical form typically leads to opportunistic healthcare-associated infections. Globally, the dominant clone responsible for these hypervirulent invasive infections is K. pneumoniae clonal group 23, which includes sequence type 23. Hypervirulent K. pneumoniae clones are typically characterized by the presence of capsular serotype K1 and a set of hypervirulence-associated genes, such as ybt , iuc , iro , rmpA , and rmpA2 , often encoded on dedicated hypervirulence plasmids. These genetic determinants are central to the hypervirulent phenotype. Although antimicrobial resistance has not traditionally been a hallmark of hvKp, the recent emergence of carbapenem-resistant hypervirulent K. pneumoniae has been increasingly reported worldwide. This topic showcases cutting-edge research on the mechanisms underlying hypervirulent Klebsiella pneumoniae infections, with a particular focus on genetic and molecular factors driving both hypervirulence and antimicrobial resistance. We welcome the submission of original research articles, reviews, and perspectives that contribute to this rapidly evolving and exciting area of microbiology and medicine. Please contact Dr. Atsushi Togawa , Dr. Anthony R. Tam if you have any questions. Keywords Klebsiella pneumoniae invasive infection hypervirulence genetic and molecular determinants antimicrobial resistance


