About one in three U.S. adults, the equivalent of over 82 million Americans, report having made at least one daily ...
A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
Objective Biologics for systemic lupus erythematosus (SLE) demonstrate variable treatment responses across trials. We evaluated baseline biomarkers as predictors of response to guide personalised ...
Introduction Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact between patients and family members, affecting ...
Objective Systemic lupus erythematosus (SLE) is associated with increased susceptibility to infections, including herpes ...
Objective Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods ...
Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...
Background Balanced translocation (BT) carriers have a high risk of recurrent miscarriage and abnormal offspring due to unbalanced gamete production. Clinical genetic testing often fails to detect BTs ...
Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...
Abstract: Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...
Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...
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