Golden Gate method enables fully-synthetic engineering of therapeutically relevant bacteriophages

Bacteriophages have been used therapeutically to treat infectious bacterial diseases for over a century. As ...
qualitysafety.bmj

Using implementation science to define the model and outcomes for improving quality in NEST360, a multicountry alliance for reducing newborn mortality in sub-Saharan Africa

Background Improving small and sick newborn care (SSNC) is crucial in resource-limited settings. Newborn Essential Solutions and Technologies (NEST360), a multicountry alliance, aims to reduce newborn ...
Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
EurekAlert!

Machine learning revolutionizes design of green solvents for carbon capture: a new era for ionic liquid development

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
IEEE

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...
Frontiers

Development of predictive charts for landslide runout based on Monte Carlo simulation and support vector regression

Horizontal runout distance prediction of potential landslides is of great significance in hazard mitigation.In this study, predictive charts of landslide horizontal runout distance were developed ...
IEEE

Sea Ice Thickness Inversion Based on Support Vector Regression for FengYun-3E IDW Data

Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...
Scientific Research Publishing

Brereton, R.G. and Lloyd, G.R. (2010) Support Vector Machines for Classification and Regression. The Analyst, 135, 230-267.

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...