AZoBuild on MSN
New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Objective To characterise the use of the prostate specific antigen (PSA) test in primary care in England. Design Population ...
Background/aim Frequent premature ventricular complexes (PVCs) have historically been regarded as benign in structurally ...
Objectives Contact breast injury (CBI) and exercise-induced breast pain (EIBP) are common in adult female contact sports; ...
Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...
Objective Glomerular immune complex deposition plays a central role in lupus nephritis (LN), but the prognostic relevance of individual immunoglobulin components remains unclear. This study aimed to ...
AZoSensors on MSN
Graphene and AI combine for rapid COVID-19 detection
Innovative graphene-silver metasurface biosensor combines nanotech and AI, providing real-time, label-free COVID-19 detection ...
The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...
Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...
Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). A line of best fit is a form of regression analysis that shows the relationship ...
Private minibuses dominate transport in many developing country cities. They serve 62% of motorized trips in Lagos, the ...
This study systematically reveals the productivity construction patterns of adjustment wells in the Bohai Oilfield and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results