Results 71 to 80 of about 1,913 (217)

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

open access: yesAdvanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo   +14 more
wiley   +1 more source

Permutation polynomials and factorization

open access: yes, 2020
We discuss a special class of permutation polynomials over finite fields focusing on some recent work on their factorization. In particular we obtain permutation polynomials with various factorization patterns that are favoured for applications.
Topuzoğlu, Alev   +2 more
core   +1 more source

Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population‐Based Study and Gut Microbiota Analysis

open access: yesAdvanced Science, EarlyView.
Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi   +14 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

Laguerre polynomials in several hypercomplex variables and their matrix representation [PDF]

open access: yes, 2011
Recently the creation matrix, intimately related to the Pascal matrix and its generalizations, has been used to develop matrix representations of special polynomials, in particular Appell polynomials.
Tomaz, Graça   +3 more
core   +1 more source

A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers

open access: yesAdvanced Science, EarlyView.
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels   +2 more
wiley   +1 more source

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

open access: yesAdvanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi   +12 more
wiley   +1 more source

Single‐Atom‐Enhanced Fully Inkjet‐Printed Electrochemical Sensor for Dopamine Detection

open access: yesAdvanced Science, EarlyView.
Fully inkjet‐printed paper‐based dopamine sensors are fabricated using nitrogen‐doped graphene acid functionalized with copper single atoms. The copper sites uniquely enhance dopamine oxidation through strong molecular adsorption, as verified by electrochemical measurements and DFT calculations. The approach highlights the potential of single‐atom inks
Martin‐Alex Nalepa   +11 more
wiley   +1 more source

Nanoscale Confinement Enhances Ultrafast Demagnetization

open access: yesAdvanced Science, EarlyView.
Next generation spintronics may depend on successfully combining femtosecond spin dynamics with nanoscale device miniaturization. We address this by systematically studying the effect of nanoscale confinement on the femtosecond demagnetization of Iron. By combining ultrafast experiments sensitive to spins, charge carriers, and phonons, we uncover a nm ...
Yoav William Windsor   +23 more
wiley   +1 more source

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