Frontiers

Analysis of intestinal microorganisms and metabolite in childhood allergic asthma: role in assessing the severity of condition in children

Department of Pediatrics, Shenzhen University General Hospital, Shenzhen, Guangdong, China Background: Childhood allergic asthma is a widespread chronic respiratory condition that is becoming more ...
GitHub

eugenezimin/data_utilization_analysis

A Python-based data analysis tool for visualizing and analyzing CPU and memory usage patterns from Parquet-formatted telemetry data. This tool provides comprehensive statistical analysis and ...
GitHub

GIGO: A Crash Course in Data

Types of variables (categorical, continuous, ordinal, binary) Scale of measurement (nominal, ordinal, interval, ratio) Units, metadata, missingness patterns ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
The Lancet

Beyond beta rhythms: subthalamic aperiodic broadband power scales with Parkinson's disease severity–a cross-sectional multicentre study

cNeurophysics Group, Department of Neurology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, ...
IEEE

Ultra-Low Sidelobe Nonlinear Frequency Modulated Waveform based on Inverse Error Function

Abstract: An inverse error function (IERF)-based nonlinear frequency modulated (NLFM) signal is investigated for pulse compression with a very low sidelobe level (SLL ...
IEEE

Yuanhong Liang

Bit Error,Bit Error Rate,Bitrate,Channel Reciprocity,Correlation Scatter Plots,Digital Signal,Effect Of Fiber,Error Rate,Fiber Link,Fiber Transmission,Information ...
Frontiers

The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data

Objective: Osteoporosis poses a major global public health challenge. The limitations of current diagnostic methods, primarily diagnostic delays in bone density testing, are compounded by the ...