A new platform of electrowetting-on-dielectric digital microfluidics for rapid detection of early-stage Hepatocellular Carcinoma(HCC) specific biomarker.

Background: The early detection of Hepatocellular Carcinoma (HCC) is crucial for improving patient survival rates.Early diagnosis of HCC can significantly enhance treatment outcomes and reduce disease progression. Antigen detection of tumor markers is one of the important diagnostic methods for HCC.

Unveiling the effect of social networks on farmers' diversified energy-saving behaviors in the Tibetan plateau region of China.

An improved comprehension of the factors that influence farmers' diversified energy-saving behaviors makes significant sense for enacting potent energy policies and curbing rural energy consumption. This paper investigated the effect of social networks on diversified energy-saving behaviors adopted by farmers in the Tibetan Plateau region of China, by establishing a generalized Poisson regression model. A total of 480 farmers were randomly interviewed.

Bacterial wilt disease alters the structure and function of fungal communities around plant roots.

Background: Fungal communities around plant roots play crucial roles in maintaining plant health. Nonetheless, the responses of fungal communities to bacterial wilt disease remain poorly understood. Here, the structure and function of fungal communities across four consecutive compartments (bulk soil, rhizosphere, rhizoplane and root endosphere) were investigated under the influence of bacterial wilt disease.

Public Health.

Background: over the past decade, a bi-directional relationship between sleep and Alzheimer's disease (AD) has been increasingly recognized, with several studies suggesting a link between self-reported sleep disturbances and AD biomarkers. However, the association between polysomnography (PSG)-assessed sleep parameters and AD biomarkers remains unknown.

Method: We examined 128 participants [mean age 70.

Integrating D-Dimer Thresholds into the Revised Caprini Risk Stratification to Predict Deep Vein Thrombosis Risk in Preoperative Knee Osteoarthritis Patients.

Introduction: Preoperative patients with knee osteoarthritis have a significantly increased risk of venous thromboembolism (VTE). While the Caprini risk assessment model offers some clinical guidance in predicting deep vein thrombosis (DVT), it has a relatively low predictive accuracy. Enhancing the model by integrating biomarkers, such as D-dimers, can potentially improve its accuracy.