Articles tagged with Multivariate Analysis
Researchers developed a physics-based framework to predict power fluctuations from renewables, enabling grid operators to mitigate surges and blackouts. The model correlates atmospheric turbulence with electricity output, allowing for accurate risk assessments of existing turbines and farms.
Patients with atrial fibrillation have a higher risk of adverse cardiovascular events, including stroke, heart attack, and cardiac arrest. Serum neurofilament light chain levels can serve as a biomarker for cardiovascular risk in these patients.
Adults who spend more than 5 hours a day watching TV and/or videos are 48% more likely to experience nocturia. Healthcare professionals can offer behavioral intervention recommendations for individuals with prolonged screen time.
A new study has identified two main pathways involved in Alzheimer's disease, with one acting through amyloid and tau proteins and the other based on immune system reactions. The research also found that certain genes have opposite effects in men and women, suggesting a need for further investigation.
A retrospective study found that elevated CA 19-9 and CEA levels were associated with worsened outcomes in duodenal adenocarcinoma patients. The study, which included 68 patients, suggests that these tumor markers may show promise as prognostic tools for this rare malignancy.
Researchers have developed a novel prognostic index to predict survival outcomes in gastric cancer patients. The inflammation-combined prognostic index (ICPI) combines three biomarkers - lymphocyte-to-monocyte ratio, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio - to provide a personalized prognosis for each patient.
Ringlike peripheral high iodine concentration maps from dual-energy CT can help guide management in patients with known lung cancer and an indeterminate solitary nodule. This finding showed excellent interobserver agreement, high specificity, and independently predicted pulmonary metastasis.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
A study published in Journal of Pharmaceutical Analysis found that the quality of mistletoe, a traditional Chinese medicine, is affected by its host plant. The researchers used metabolomics to investigate the influence of host plants and environmental factors on mistletoe's medicinal qualities. The results show that both host plants an...
A retrospective study found that cases of metabolic dysfunction-associated fatty liver disease increased since before the COVID-19 pandemic. Late-night meals and higher alcohol intake were identified as independent predictors of developing MAFLD, especially among working-age individuals.
Researchers at Samara Polytech develop cost-effective, portable analyzers for quick analysis of objects under study. The devices require no sampling and use light to illuminate the object, detecting signals through a light-guide cable.