Cumulative Strain and Improvement Mechanisms of Soil Reinforced by Xanthan Gum Biopolymer Under Traffic Loading.

As is widely accepted, cumulative strain and improvement mechanisms of stabilized soil are critical factors for the long-term reliable operation of expressways and high-speed railways. Based on relevant research findings, xanthan gum biopolymer is regarded as a green and environmentally friendly curing agent in comparison to traditional stabilizers, such as cement, lime, and fly ash. However, little attention has been devoted to the cumulative strain and improvement mechanisms of soil reinforced by xanthan gum biopolymer under traffic loading.

β,β-Difluoro Peroxides as Fluorinated C2-Building Blocks for the Construction of Functionalized Indolizines.

An effective method for the construction of functionalized indolizines has been developed in which β,β-difluoro peroxides act as novel C2-building blocks to implement [3+2] annulation with pyridinium ylides under base-mediated conditions. With this protocol, a broad range of multisubstituted indolizines were prepared in moderate to good yields under mild conditions, and many useful functional groups were tolerated.

A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection.

Background: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analysis of electroencephalogram (EEG) signals have garnered widespread attention, particularly in the area of seizure recognition.

Methods: A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study.

Association between systemic immune inflammation index and cataract incidence from 2005 to 2008.

The objective of this study is to investigate the association between the Systemic Immune-Inflammation Index (SII) and cataracts. This cross-sectional study analyzed data from the 2005-2008 NHANES to examine the relationship between the SII and cataract prevalence. Covariates included age, race/ethnicity, gender, education level, marital status, Body Mass Index (BMI), smoking, alcohol consumption, hypertension, hyperlipidemia, and diabetes.