Results 71 to 80 of about 54,005 (235)

Advanced Investigation of the Elimination of Methylene Blue From Wastewater Using Activated Carbon–Copper Oxide Nanowires: New Perspectives With Statistical Physical Modeling

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In this study, the actual route of methylene blue (MB) dye adsorption by using fabricated polyfunctional activated carbon–copper oxide nanowires (AC@CuO‐NWs) from bulky wastewater bodies has been investigated. To better understand the exact pathway of the adsorption process, a prominent statistical physics formalism or grand canonical ...
Abdellatif Sakly, Nizar Lefi, Mohamed Bouzid, Salah Knani, Md. Mahmudur Rahman, Besma Graba, Sivarama Krishna Lakkaboyana, Abdelmottaleb Ben Lamine   +7 more
wiley   +1 more source

Polylimonene Improves the In Vivo Wound Healing Performance of Sodium Alginate‐Based Hydrogels

Journal of Applied Polymer Science, EarlyView.
An oligomer derived from orange peel essential oil incorporated into an alginate hydrogel was shown to be biocompatible and to exhibit a high capacity for in vivo incisional wound healing, as confirmed by experimental assays and mathematical models fitted to the data describing wound area reduction as a function of the dressing‐tissue contact time ...
Roniérik Pioli Vieira, Guilherme Frey Schutz, Oana‐Maria Chirliu, Aurelian‐Sorin Pasca, Lenuta Profire, Sandra Van Vlierberghe   +5 more
wiley   +1 more source

Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting

Journal of Innovative Science and Engineering
In this study, Multilayer Perceptron (MLP) with Levenberg-Marquardt and Bayesian Regularization algorithms machine learning methods are compared for modeling of the rainfall-runoff process. For this purpose, daily flows were forecast using 5844 discharge
Aslı BOR, Merve OKAN
doaj   +1 more source

Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method [PDF]

, 2009
In this paper, we estimate the drift and diffusion parameters of the stochas- tic logisticmodels for the growth of Clostridium Acetobutylicum P262 using Levenberg- Marquardt optimization method of non linear least squares.
Abd. Rahman, Haliza, Bahar, Arifah, Mohd. Aziz, Mohd. Khairul Bazli, Rosli, Norhayati, Salleh, Madihah, Weber, Gerhard-Wilhelm   +5 more
core  

Tailored Dual Responsive Hybrid Gelatin Methacryloyl/Poly[2‐(Dimethylamino)Ethyl Methacrylate] Hydrogels for Efficient Ibuprofen Release in Topical Applications

Journal of Applied Polymer Science, EarlyView.
GelMA/DMAEMA hybrid hydrogels for release of ibuprofen. ABSTRACT In this study, biocompatible hydrogels intended for topical delivery of ibuprofen were synthesized from gelatin methacryloyl (GelMA) and 2‐(dimethylamino)ethyl methacrylate (DMAEMA) by varying their proportions. The impact of different GelMA and DMAEMA ratios was comprehensively evaluated
Guilherme Frey Schutz, Ana Luiza Assis Coutinho, Carolina Coli Zuliani, Ibsen Bellini Coimbra, Jéssica Heline Lopes da Fonseca, Marcos Akira d'Ávila, Ângela Maria Moraes, Roniérik Pioli Vieira   +7 more
wiley   +1 more source

Rheology of sheared granular particles near jamming transition

, 2012
We investigate the rheology of sheared granular materials near the jamming transition point. We numerically determine the values of the critical fraction and the exponents for the jamming transition using a finite size scaling and the nonlinear ...
Hayakawa, Hisao, Otsuki, Michio
core   +1 more source

Computational and Machine‐Learning Studies of Ethylene Oligomerization

Carbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin, Zhihui Song, Heying Feng, Li Jin   +3 more
wiley   +1 more source

A two-step smoothing Levenberg-Marquardt algorithm for real-time pricing in smart grid

AIMS Mathematics
As is well known, the utility function is significant for solving the real-time pricing problem of smart grids. Based on a new utility function, the social welfare maximization model is considered in this paper.
Linsen Song , Gaoli Sheng
doaj   +1 more source

Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors [PDF]

Geoscientific Instrumentation, Methods and Data Systems, 2018
A new modified elementary Levenberg–Marquardt Algorithm (M-LMA) was used to minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the Chi-Chi earthquake from four seismic stations ...
J.-W. Lin, C.-T. Chao, J.-S. Chiou
doaj   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source