Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Background Percutaneous ventricular assist devices (pVAD) have been increasingly used to support haemodynamics during ...
Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...
This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: To deal with the uncertain relationship between random variables and harmonic spectrum in existing random pulsewidth modulation (PWM), this article links the uniformly distributed random ...
Abstract: The Gaussian mixture model (GMM) describes the distribution of random variables from several different populations. GMMs have widespread applications in probability theory, statistics, ...
Teacher Productivity, Strategies, Public Secondary Schools, Uasin Gishu, Baringo, Kenya Share and Cite: Kiptoo, D. , Omachar, B.S. and Kegode, G. (2025) Strategies for Enhancing Teacher Productivity ...
Background Hypertension is a significant risk factor for cardiovascular disease, dementia and chronic kidney disease (CKD).
Odyssey Math Tuition, a tuition agency in Singapore, has launched a dedicated JC 2 math tuition elearning course to aid junior college students in excelling ...