The Role of Artificial Intelligence in Microplastic Pollution Studies and Management
Abstract
323 1867
The Role of Artificial Intelligence in Microplastic Pollution Studies and ManagementAbstract
Artificial intelligence (AI) is reshaping microplastic research by enabling faster, more accurate, and scalable detection, characterization, and modeling. Deep learning automates the identification and classification of microplastics from microscopy images, while machine learning accelerates the recognition of polymers from Raman and infrared spectra. AI-based clustering and segmentation improve the analysis of complex samples, and source-apportionment models learn morphological and chemical features to trace emiss [...] 323 1867 |
A Systematic Literature Review for the Development of a Consolidated Method for DLCAAbstract
Dynamic Life Cycle Assessment (DLCA) is an emerging approach in the construction industry it is. Yet, current research is often limited, overlooks operational patterns, and relies on generic case studies, highlighting the need for an extended method to apply these analyses in the built environment. This study conducts a Systematic Literature Review to evaluate the current state of DLCA research and identify key steps toward developing a unified and globally applicable methodology. Using the PRISMA protocol, 69 peer [...] 561 3106 |
Importance of SLAPE Solar Panels, Electrochemical CO2 Reduction, Alkaline Electrolyzers and Alkaline Fuel Cells Development to Achieve United Nations Sustainable Development Goalsby
Abstract
The United Nations Organization (UNO) in the year 2015 formulated seventeen sustainable development goals (UNO’s 17 SDGs) to be achieved by the end of the year 2030. The so far achieved progress indicates that none of these UNO’s 17 SDGs can be achieved before the deadline. In fact, all these goals can be achieved by developing suitable technologies to fully capture and utilize all the renewable energy resources available on earth to meet all the energy needs of society without any backup from fossil fu [...] 548 3835 |
Lanthanum Uptake and Distribution in Agricultural and Wild Plants: Insights from Greenhouse and Field Studies in Uncontaminated SoilsAbstract
Lanthanum (La) is widely used in various fields. As a consequence, it can accumulate in soil and thus pose a potential hazard to the environment, including a decrease of plant biomass and chlorophyll content. To date, most experimental studies on the biogeochemistry of La have focused on toxic effects resulting from its accumulation in plants growing in La-contaminated areas, while the behavior of La in plants growing in uncontaminated soils has been the subject of much less research. The primary objectives of this [...] 615 3441 |
Modeling the Mesoscopic-Scale Spatial Evolution of the Epileptic Pre-Ictal and Ictal PhasesAbstract
The spatial evolution of the epileptiform regime in neural networks can be alternatively described in terms of a statistical approach, dealing with average smooth, differentiable fields rather than discrete neural elements. After a brief review of mathematical methods for modeling epilepsy (the condensed matter vs. the neural mass models) together with their pros and cons, we introduce our continuous-space model for the pre-ictal scalar field and the ictal epileptiform vector flux in the form of the diffusion equat [...] 607 3018 |
Entropy and War, Toy ModelsAbstract
This study investigates the relationship between entropy and societal dynamics, with a particular focus on the origins and implications of war. By using entropy as a measure of uncertainty and inequality, the research examines societal stability through patterns of stratification and wealth distribution. Employing simplified models of various wealth distributions, the study explores their effects on social stratification and the potential for conflict. Drawing on historical and contemporary examples, it delves into [...] 559 5083 |
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