AIMC Topic: Biomass

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Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.

New biotechnology Sep 16, 2014
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described wel...
Water Purification Temperature Algorithms Thermodynamics Water Pollutants, Chemical Models, Theoretical Biomass Trichoderma Hydrogen-Ion Concentration Support Vector Machine Metals Cadmium Spectroscopy, Fourier Transform Infrared Solutions Ions
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.

The plant genome Jun 1, 2025
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional manual phen...
Phenotype Biomass Triticum Edible Grain Plant Breeding Genomics Models, Genetic
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Water status and plant traits of dry bean assessment using integrated spectral reflectance and RGB image indices with artificial intelligence.

Scientific reports May 14, 2025
This study investigated the potential of using remote sensing indices with artificial neural networks (ANNs) to quantify the responses of dry bean plants to water stress. Two field experiments were conducted with three irrigation regimes: 100% (B100)...
Phaseolus Water Agricultural Irrigation Neural Networks, Computer Soil Biomass Artificial Intelligence
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Effects of chronic exposure to biomass pollutants on cardiorespiratory responses and the occurrence of exercise-induced bronchoconstriction in healthy men.

Physiological reports May 1, 2025
Exposure to charcoal biomass (CB) pollutants affects the cardiorespiratory system. We assessed cardiopulmonary responses (CPR) to exercise in charcoal producers (CPs) compared to farmers and evaluated the prevalence of exercise-induced bronchoconstri...
Bronchoconstriction Asthma, Exercise-Induced Occupational Exposure Exercise Test Heart Rate Biomass Exercise Young Adult Humans Adult Male
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A machine learning-based approach for improving plasmid DNA production in Escherichia coli fed-batch fermentations.

Biotechnology journal Jun 1, 2024
Artificial Intelligence (AI) technology is spearheading a new industrial revolution, which provides ample opportunities for the transformational development of traditional fermentation processes. During plasmid fermentation, traditional subjective pr...
Machine Learning Batch Cell Culture Techniques Biomass Escherichia coli Bioreactors Fermentation Plasmids
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The development of input-monitoring system on biofuel economics and social welfare analysis.

Science progress Jan 1, 2022
Biofuel production relies on stable supply of biomass which would be significantly influenced by climate-induced impacts. Since the actual agricultural outputs are relatively unpredictable in the face of uncertain environmental conditions and can onl...
Artificial Intelligence Biofuels Biomass Social Welfare Agriculture
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Classification of biomass reactions and predictions of reaction energies through machine learning.

The Journal of chemical physics Jul 28, 2020
Elementary steps and intermediate species of linearly structured biomass compounds are studied. Specifically, possible intermediates and elementary reactions of 15 key biomass compounds and 33 small molecules are obtained from a recursive bond-breaki...
Molecular Structure Discriminant Analysis Algorithms Biomass Machine Learning
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Improve the biodegradability of post-hydrothermal liquefaction wastewater with ozone: conversion of phenols and N-heterocyclic compounds.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2017
Hydrothermal liquefaction is a promising technology to convert wet biomass into bio-oil. However, post-hydrothermal liquefaction wastewater (PHWW) is also produced during the process. This wastewater contains a high concentration of organic compounds...
Heterocyclic Compounds Wastewater Organic Chemicals Phenols Kinetics Ozone Bioreactors Water Pollutants, Chemical Biomass Hydroxyl Radical
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Cost-effective batch production process of scFv antibody in Escherichia coli.

Human antibodies Jan 1, 2017
BACKGROUND: Cost-effective production of antibody (Ab) fragments is of great interests of many pharmaceutical industries, in large part due to their high usages in research, diagnosis and therapy. Thus, the production of Abs necessitates accomplishme...
Recombinant Proteins Escherichia coli Single-Chain Antibodies Biomass Isopropyl Thiogalactoside
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[Estimation of Winter Wheat Biomass Using Visible Spectral and BP Based Artificial Neural Networks].

Guang pu xue yu guang pu fen xi = Guang pu Sep 1, 2015
The objective of this study was to evaluate the feasibility of using color digital image analysis and back propagation (BP) based artificial neural networks (ANN) method to estimate above ground biomass at the canopy level of winter wheat field. Digi...
Color Triticum Spectrum Analysis Nitrogen Neural Networks, Computer Biomass
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