Results 61 to 70 of about 15,675 (200)

The use of activated carbon derived from spent coffee grounds as a reusable, sustainable, and effective solution for the removal of butylparaben from water

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Parabens, including butylparaben (BP), are widely used as antimicrobial preservatives in food, cosmetics, and pharmaceuticals, yet are poorly removed by conventional water treatment processes and pose potential risks to aquatic life and human health.
Lorena Maihury Santos Tsubouchi, Diane Scapin, Gideã Taques Tractz, Flávia Aparecida Reitz Cardoso, Lúcio Cardozo‐Filho, Alessandro Francisco Martins, Diógenes Vedoy, Ana Paula Peron, Osvaldo Valarini Junior   +8 more
wiley   +1 more source

Diagnostic Value of Glycocalyx Shedding in Blood for Differentiating between Parkinson's Disease and Multiple System Atrophy

Movement Disorders, EarlyView.
Abstract Background Blood–brain barrier disruption is increasingly recognized in synucleinopathies, but the role of the endothelial glycocalyx (GLX) in Parkinson's disease (PD) and multiple system atrophy (MSA) remains unclear. Objectives The aim was to determine whether plasma GLX markers differ between PD, MSA, and healthy controls (HC), relate to ...
Jonas Folke, Brian DellaValle, Mathias Lindh Jørgensen, Phillip Bredahl Mogensen, Casper Hempel, Jørgen Rungby, Anne‐Mette Hejl, Annemette Løkkegaard, Lisette Salvesen, Sara Bech, Mette Møller, Erik Hvid Danielsen, Morten Blaabjerg, Matthias Bode, Tomasz Brudek, Susana Aznar   +15 more
wiley   +1 more source

Adaptive Higher-order Spectral Estimators

, 2017
Many applications involve estimation of a signal matrix from a noisy data matrix. In such cases, it has been observed that estimators that shrink or truncate the singular values of the data matrix perform well when the signal matrix has approximately low
Gerard, David, Hoff, Peter
core   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Learning Graphical Models Using Multiplicative Weights

, 2017
We give a simple, multiplicative-weight update algorithm for learning undirected graphical models or Markov random fields (MRFs). The approach is new, and for the well-studied case of Ising models or Boltzmann machines, we obtain an algorithm that uses a
Klivans, Adam, Meka, Raghu
core   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Journal of Experimental Nanoscience, 2020
A systematic read on evaluating the machining characteristics of wire cut electrical discharge machining (WEDM) using analysis of variance (ANOVA) and multilinear regression model based multi objective optimization is provided during this analysis ...
R. Meenakshi, P. Suresh
doaj   +1 more source

Improving Efficiency in Convolutional Neural Network with Multilinear Filters

, 2017
The excellent performance of deep neural networks has enabled us to solve several automatization problems, opening an era of autonomous devices. However, current deep net architectures are heavy with millions of parameters and require billions of ...
Gabbouj, Moncef, Iosifidis, Alexandros, Tran, Dat Thanh   +2 more
core   +1 more source

The relationship between seasonal mean temperature and most extreme day

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In Northern Hemisphere winter, there is a strong correlation between seasonal mean temperature and coldest daily mean temperature which varies in magnitude from one region to another (with a weaker relationship in summer between mean and hottest day).
Anna Maidens, Hazel E. Thornton, Philip Bett‐Williams, Doug Smith   +3 more
wiley   +1 more source