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A multi-parameter-induced activation of gas therapeutic platform to remarkably amplify photodynamic therapy efficacy
Gas therapy (GT) combined with photodynamic therapy (PDT) is an effective strategy to compensate for the PDT limitation caused by the hypoxic tumor...
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The Hildebrand Solubility Parameter and Its Importance in the Scientific and Technological Scenario of Flow Assurance Operations
AbstractThe Hildebrand solubility parameter has been applied in several areas of science and engineering, assuming a relevant role in new scientific...
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Fractional modeling and parameter identification of lithium-ion battery
To simulate and control the lithium-ion battery system more effectively, it is necessary to establish a specific physical model of lithium-ion...
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Parameter identification and state of charge estimation for lithium-ion batteries under wide temperature range
Accurate estimation of the state of charge (SOC) for lithium-ion batteries (LIBs) has now become a crucial work in develo** a battery management...
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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space
AbstractChemical reaction optimization (RO) is an iterative process that results in large, high-dimensional datasets. Current tools allow for only...
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Estimation of the Hildebrand Solubility Parameter of a Mixture of Petroleum‑Derived Solvents Using Their Structural Elements
Methods are examined for estimating the Hildebrand solubility parameter of a mixture of organic solvents using the characteristics of their...
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Multi-parameter Gold-Film Embedded PCF Sensors Based on Surface Plasmon Resonance
A novel multi-purpose sensor based on photonic crystal fiber and surface plasmon resonance is proposed, in which a gold film is deposited on the...
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Is the Size of a Small System a Thermodynamic Parameter?
AbstractA corollary of the molecular equilibrium theory of small systems is considered for the Clausius–Clapeyron equation with regard to...
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Approach for Parameter Identification of Multiparameter Models
A very important stage of model development is parameter identification through inverse problem solutions. The kinetics of many chemical,... -
Dynamic modeling and parameter estimation of biomethane production from microalgae co-digestion
This work proposes a dynamic modeling procedure applied to biomethane production from microalgae residual co-digestion. A two-stage anaerobic...
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Nanoparticle Concentration as an Important Parameter for Characterization of Dispersion and Its Applications in Biomedicine
AbstractCurrently, there are problems to standardize methods for determining the concentration of nanoparticles and creation of etalon materials for...
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Remaining discharge energy estimation of lithium-ion batteries based on average working condition prediction and multi-parameter updating
The remaining discharge energy (RDE) estimation of lithium-ion batteries heavily depends on the battery’s future working conditions. However, the...
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Development of a scoring parameter to characterize data quality of centroids in high-resolution mass spectra
High-resolution mass spectrometry is widely used in many research fields allowing for accurate mass determinations. In this context, it is pretty...
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Multi-parameter Analysis and Optimization Design of Proton Exchange Membrane Electrolytic Cell
Proton exchange membrane electrolytic cell has high potential in terms of high operating current density, high purity of generated gas, and coupling... -
Development and Application of Isotope Labelled Internal Standards in a Sum Parameter Method for Ergot Alkaloid Screening of Food
Ergot alkaloids are a group of toxic compounds, formed by fungi on infested grasses. In 2022, the European Commission set into effect maximum levels...
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Parameter Multiplexing-Based Terahertz Enhanced Absorption Spectra Using Ultrathin Metal Groove Array
Due to the unique fingerprint spectra of many bio-molecules in the terahertz range, their detection in this frequency band has gained widespread...
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Estimation of effective diffusivity, thermodynamic parameter and drying kinetics exploration in coffee berries drying
This study focuses on green coffee beans ( Coffea arabica ) drying kinetics in a tray dryer within the range of 50–60 °C. The kinetic parameters were...
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The Application of Multi-Parameter Flow Cytometry to Monitor Individual Microbial Cell Physiological State
The development of multi-parameter flow cytometric techniques in our laboratories has led to a functional classification of the physiological state... -
Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition
Hydraulic regenerative braking system is a kind of complex MIMO (Multiple Input Multiple Output) system which is strongly nonlinear and... -
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations
Computer-aided drug design has advanced rapidly in recent years, and multiple instances of in silico designed molecules advancing to the clinic have...