Healio

43-year-old woman with shoulder dislocation, reverse bony Bankart and Hill-Sachs lesions

A 43-year-old woman with a past medical history significant for HIV complicated by cryptococcal meningitis and seizures presented to the ED after suffering a seizure and syncope.The following day she ...
Inside Climate News

The Real Pain of Climate Change Is Easy to Feel, but Increasingly Difficult to Study

Many chronic pain patients cite the weather as a driver of their suffering, and climate change is making the torment more ...
Medscape

Tailored Exercise Therapy Boosts Axial Spondyloarthritis Outcomes

A personalised exercise programme improves trunk strength and mobility, enhances cardiorespiratory fitness, and reduces ...
CNET

Build a Strength Training Workout Program That Will Make 2026 Your Strongest Year

For a program to be most effective, Washington recommends sticking to it for at least four to five weeks before changing it ...
IEEE

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
IEEE

Prediction Method of Mortar Compressive Strength Based on Feature Analysis and Deep Learning

Abstract: In order to improve the prediction accuracy of concrete compressive strength, a prediction model of mortar concrete compressive strength based on convolutional neural network is proposed.
SciELO

Predicting compressive strength of concrete with fly ash, metakaolin and silica fume by using machine learning techniques

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...