C&EN

Modular syntheses: Putting function first

And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Analyzing avalanches on asteroid Vesta offers new method for understanding regolith processes

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...
IEEE

Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components

Abstract: Neuro-transfer function (neuro-TF) methods are deemed as powerful tools in modeling the electromagnetic (EM) behavior of microwave passive components. Existing neuro-TF methods either endure ...
Scientific Research Publishing

Evaluating Physico-Mechanical Behaviour of Pyrethrum Using Principal Component Analysis and Response Surface Modeling for Optimal Design and Performance of Precision Harvesters ()

1 Department of Agricultural and Biosystems Engineering, University of Eldoret, Eldoret, Kenya. 2 Department of Environmental and Biosystems Engineering, Machinery Section, University of Nairobi, ...
C&EN

Optimization of Operational Parameters Using Artificial Neural Network and Support Vector Machine for Bio-oil Extracted from Rice Husk

Department of Industrial and Systems Engineering, University of Jeddah, Jeddah 238090, Saudi Arabia ...
The Lancet

Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks

bCentre for Environmental Health and Sustainability, University of Leicester, Leicester, UK cCentre on Climate Change and Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, ...
IEEE

Real-Time Mitigation of Measurement Noise Arising From Geomagnetic Background Interferences for a Coil Vector Magnetometer

Abstract: For the existing coil vector magnetometers, the negative effect of the geomagnetic background interference generated by solar activity has hardly been considered, making it difficult to ...
Frontiers

Whole-body movement analysis using principal component analysis: What is the internal consistency between outcomes originating from the same movement simultaneously recorded ...

A growing number of studies apply Principal Component Analysis (PCA) on whole-body kinematic data to facilitate an analysis of posture changes in human movement. An unanswered question is, how much ...
PNAS

β-Arrestin2 is a critical component of the GPCR–eNOS signalosome

We previously demonstrated that intrahepatic portal hypertension is caused in part by an endothelialopathy in which a number of G protein-coupled receptor (GPCR) regulatory proteins are dysregulated ...