Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Twist Bioscience Corporation , a mid-cap growth and value biotech company, today launched the Twist TrueAmp Library Preparation Kit and Twist PCR-Free WGS Library Preparation Kit, each designed to ...
Background: Large language models (LLMs) have raised both interest and concern in the academic community. They offer the potential for automating literature search and synthesis for systematic reviews ...
Abstract: Online parameter identification of high-speed permanent magnet synchronous machine (HSPMSM) has been studied extensively neglecting magnetic saturation. However, at heavy load condition, the ...
Comparative Study of Chemotherapy Tolerance and Immune Function Changes in Gynecological Malignancy Patients with HIV ...
LEADING EDGE MATERIALS’ PROGRESS UPDATE ON ROMANIAN EXPLORATION PROJECT 2025 exploration campaign identifies significant areas of mineralisation underground in Valea Leucii, Dibarz and Avram Iancu, ...
Abstract: This paper is concerned with the error analysis of two types of sampling algorithms, namely model predictive path integral (MPPI) and an interacting ...
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 ...
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