The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Economist who popularized ‘K-shaped economy’ warns one key factor is being overlooked that is creating a ‘sea of despair’ for low-income Americans

At the bottom, this mindset develops where they recognize that they may never win, but that doesn't mean, ‘I can't help you ...
AZoM

Fast Forecasting Algorithm for Karl Fischer Titration

The standard chemical reaction is given by the following equation: 2 ...
IEEE

Research on SHN Model Adjustment Method Based on K-Means Clustering and Gray Prediction Algorithm

Abstract: In recent years, the frequency of extreme weather events has filled the insurance industry with uncertainty. In this paper, we use a model to quantify the underwriting conditions so that we ...
eLife

Monocyte-endothelial interactions as a targetable node in clonal hematopoiesis-mediated cardiovascular disease

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...
Security Boulevard

How Quantum Computing Will Transform Data Security, AI, and Cloud Systems

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
IEEE

Multiple Kernel K-means Clustering : A Self-weighted Learning Approach

Abstract: The k-means algorithm is one of the most widely used methods for data clustering. However, traditional k-means can only be applied in the original feature space, limited to handle nonlinear ...