Scientists clock a driving factor in the evolution of error correction

All complex biological systems—like the DNA, RNA and proteins constantly being copied and built within our cells—are prone to errors. That means as life evolved to be more elaborate, it also had to ...
BMJ Open

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised ...

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 ...

Over half of direct-to-consumer merchants selling big and bulky items can’t fulfill international orders

Freight Right Global Logistics reports over 78% of merchants selling oversized goods are unprepared for international orders, ...

Understanding Homoskedasticity in Regression Modeling With Examples

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that ...
EurekAlert!

Model-based control of a continuum manipulator with online Jacobian error compensation using Kalman filtering

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
GitHub

TensorFlow Lite On-Device Training: Converter Strips Weights Loaded in tf.Module.init() Causing READ_VARIABLE Runtime Errors

WARNING:absl:Importing a function (__inference_internal_grad_fn_217398) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function ...
Semiconductor Engineering

Variable Bias Completes The PLDC Model And Offers Superior MPC Results

This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...
Scientific Research Publishing

Zhou, Y., Liu, J., Hao, Z., et al. (2018) Model-Free Conditional Feature Screening with Exposure Variables. arXiv: 1804.03637.

ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...
Frontiers

TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors

Tumor mutation burden (TMB), defined as the number of somatic mutations of tumor DNA, is a well-recognized immunotherapy biomarker endorsed by regulatory agencies and pivotal in stratifying patients ...
IEEE

Data-Driven Superstabilizing Control Under Quadratically-Bounded Errors-in-Variables Noise

Abstract: The Errors-in-Variables model of system identification/control involves nontrivial input and measurement corruption of observed data, resulting in generically nonconvex optimization problems ...