Genetic Determinants of Biomass in C4 Crops: Molecular and Agronomic Approaches to Increase Biomass for Biofuels

Bio-based fuels have become popular being efficient, cost-effective, and eco-friendly alternatives to fossil fuels.Among plant sources exploited as feedstocks, C4 grasses, such as sugarcane, maize, sorghum, and miscanthus, are highly resourceful in converting solar energy into chemical energy.For a sustainable and reliable supply of feedstocks for

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Pursuing Optimization Using Multimodal Transportation System: A Strategic Approach to Minimizing Costs and CO2 Emissions

The core problem of a multimodal transportation system is integrating various transportation modes into a cohesive, efficient, and user-friendly network.This study introduces a novel centralized load concentration approach for regions facing geographic challenges.The principal aim is improving multimodal transportation systems by mitigating CO2 emi

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AI Diffusion Model-Based Technology for Automating the Multi-Class Labeling of Electron Microscopy Datasets of Brain Cell Organelles for Their Augmentation and Synthetic Generation

A technology for the automatic multi-class labeling of brain electron microscopy (EM) objects needed to create large synthetic datasets, which could be used for brain cell segmentation tasks, is proposed.The main research tools were a generative diffusion AI model and a U-Net-like segmentation model.The technology was studied on the segmentation ta

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