Results 191 to 200 of about 1,042,431 (269)

A Measurement Model to Quantify Systemic Bacilli Load in Severe HIV-Associated Tuberculosis. [PDF]

Open Forum Infect Dis
Sossen B, Schutz C, Boloko L, Broger T, Ward A, Bekiswa A, Balfour A, Shey M, Meintjes G, Barr DA.   +9 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Correction: Divergent effects of environmental concern and risk perception on pro-environmental intention: an international study across 17 countries. [PDF]

Sci Rep
Kikko Y, Ishigaki T.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

[¹⁸F]FDG metabolic brain network in C58/J strain: an autism murine model. [PDF]

Brain Struct Funct
Verdugo-Díaz L, Martínez-Guerrero A, García-García DC, Avedaño-Estrada A, Ávila-Rodríguez MÁ, Garzón-Cortés D, Martínez-Marcial M, Canuto-Ramírez V, Roldán-Roldán G, Ibarra-Coronado E.   +9 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

A Battery-Aware Sensor Fusion Strategy: Unifying Magnetic-Inertial Attitude and Power for Energy-Constrained Motion Systems. [PDF]

Sensors (Basel)
Silva RDCE, Martins T, Bedretchuk JP, Kürschner VN, Spengler AW.   +4 more
europepmc   +1 more source