The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Ripple is exploring Amazon Bedrock AI for XRPL operations to improve efficiency by using AI agents to analyze XRP Ledger ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Abstract: Canonical correlation analysis (CCA) is a widely used multivariate analysis technique for explaining the relation between two sets of variables. It achieves this goal by finding linear ...

The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

ABSTRACT: Rice yield gap minimizing strategies can boost rice production, ensure our food security, and growth in the agriculture sector. The objectives of this study were to describe the selected ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Python for Data Analysis/ ├── Month_1: Python Foundations and Data Manipulation │ ├── Week_1: Introduction and Environment Setup │ │ ├── Lecture/ │ │ ├── Practice/ │ │ ├── Assignments/ │ │ └── Data/ │ ...