AIMC Topic: Hydrogen-Ion Concentration

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Predicting physicochemical properties of papayas (Carica papaya L.) using a convolutional neural networks model approach.

Journal of food science Oct 16, 2024
The current state of quality assessment methods for agricultural produce, particularly fruits, heavily relies on manual inspection techniques, which could be subjective, time-consuming, and prone to human errors. Consequently, there have been emergin...
Hydrogen-Ion Concentration Fruit Carica Neural Networks, Computer Image Processing, Computer-Assisted Seeds
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Plant-based egg washes for use in baked goods: Machine learning and visual parameter analysis.

Journal of food science Sep 27, 2024
Pea protein is one potential environmentally sustainable way of recreating the functionality of eggs in coatings for baked goods. These coatings are commonly applied to enhance visual properties of baked goods that consumers desire, especially color ...
Neural Networks, Computer Machine Learning Time Factors Cooking Glycerol Pattern Recognition, Visual Pisum sativum Random Forest Hydrogen-Ion Concentration Plant Proteins Principal Component Analysis Color Eggs
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Effective Removal of Selenium from Aqueous Solution using Iron-modified Dolochar: A Comprehensive Study and Machine Learning Predictive Analysis.

Environmental research Sep 16, 2024
Selenium (Se) is an essential micronutrient for human beings, but excess concentration can lead to many health issues and degrade the ecosystem. This study focuses on the removal of selenium from an aqueous solution using iron-doped dolochar. SEM, ED...
Iron Kinetics Hydrogen-Ion Concentration Selenium Water Pollutants, Chemical Adsorption Machine Learning Water Purification
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Machine learning-powered wearable interface for distinguishable and predictable sweat sensing.

Biosensors & bioelectronics Aug 28, 2024
The constrained resources on wearable devices pose a challenge in meeting the demands for comprehensive sensing information, and current wearable non-enzymatic sensors face difficulties in achieving specific detection in biofluids. To address this is...
Hydrogen-Ion Concentration Electrodes Tryptophan Humans Tyrosine Sweat Wearable Electronic Devices Machine Learning Wireless Technology Biomarkers Biosensing Techniques Equipment Design
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Synthesis and characterization of Fe(III)-doped beta-cyclodextrin-grafted chitosan cryogel beads for adsorption of diclofenac in aqueous solutions: Adsorption experiments and deep-learning modeling.

International journal of biological macromolecules Aug 28, 2024
Diclofenac (DCF) is frequently detected in aquatic environments, emphasizing the critical need for its efficient removal globally. Here, we present the synthesis of Fe(III)-doped β-CD-grafted chitosan (Fe/β-CD@CS) cryogel beads designed for adsorbing...
Chitosan Iron Kinetics Water Purification Water Deep Learning Water Pollutants, Chemical Adsorption Diclofenac Hydrogen-Ion Concentration Cryogels beta-Cyclodextrins Solutions
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Approaching Optimal pH Enzyme Prediction with Large Language Models.

ACS synthetic biology Aug 28, 2024
Enzymes are widely used in biotechnology due to their ability to catalyze chemical reactions: food making, laundry, pharmaceutics, textile, brewing─all these areas benefit from utilizing various enzymes. Proton concentration (pH) is one of the key fa...
Enzymes Machine Learning Computer Simulation Hydrogen-Ion Concentration
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Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.

Journal of clinical monitoring and computing Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Acidosis, Lactic Brain Stem Animals Respiration Swine Lactic Acid Neural Networks, Computer Proof of Concept Study Disease Models, Animal Body Temperature Algorithms Blood Gas Analysis Hydrogen-Ion Concentration Carbon Dioxide Linear Models
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pH-Controlled enzymatic computing for digital circuits and neural networks.

Physical chemistry chemical physics : PCCP Aug 7, 2024
Unconventional computing paradigms explore new methods for processing information beyond the capabilities of traditional electronic architectures. In this work, we present our approach to digital computation through enzymatic reactions in chemically ...
Neural Networks, Computer Hydrogen-Ion Concentration Enzymes
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Optimized phenol degradation and lipid production by Rhodosporidium toruloides using response surface methodology and genetic algorithm-optimized artificial neural network.

Chemosphere Aug 4, 2024
Oleaginous yeast can produce lipids while degrading phenol in wastewater treatment. In this study, a Plackett-Burman Design (PBD) was adopted to identify key factors of phenol degradation and lipid production using R toruloides 9564. While temperatur...
Biodegradation, Environmental Phenol Rhodotorula Water Pollutants, Chemical Lipids Hydrogen-Ion Concentration Neural Networks, Computer Wastewater Algorithms Temperature
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Sustainable utilization of FeO-modified activated lignite for aqueous phosphate removal and ANN modeling.

Environmental research Jul 14, 2024
Lignites are widely available and cost-effective in many countries. Sustainable methods for their utilization drive innovation, potentially advancing environmental sustainability and resource efficiency. In the present study, FeO (∼25.1 nm) supported...
Kinetics Water Pollutants, Chemical Neural Networks, Computer Phosphates Hydrogen-Ion Concentration Water Purification Ferric Compounds Adsorption Coal
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