Results 151 to 160 of about 3,304,290 (287)
Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions
Portal Hypertension &Cirrhosis, EarlyView.This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley +1 more source
Can tiered open-source mandates optimize innovation? A differential game study osn platform vs. independent project dynamics in foundation software ecosystems. [PDF]
PLoS OneWu B, Yi Y.
europepmc +1 more source
Phytotherapy Research, EarlyView.DHT directly binds to MIF and subsequently blunts AKT signaling, which restores the kinase activity of GSK‐3β. The reactivated GSK‐3β then promotes the phosphorylation (Ser33/37/Thr41) and proteasomal degradation of β‐catenin, thereby preventing its nuclear translocation and inhibiting the transcription of EMT‐related genes (e.g., Snail and Twist ...
Chuhang Wang +10 more
wiley +1 more source
Low‐order system for eddy growth in the storm track
Quarterly Journal of the Royal Meteorological Society, EarlyView.Reanalysis data for the North Atlantic storm track are used to construct a low‐order model that optimally fits the observed interaction between the mean flow and baroclinic eddies. The resulting model is a certain type of predator–prey model. It explains various properties of the storm track, including why eddies grow linearly with the Eady growth rate,
Maarten H. P. Ambaum, Thomas H. A. Frame
wiley +1 more source
Some Simple ML Estimators in Stochastic Differential Equations [PDF]
For many stochastic differential equations often met in financial theory, it is the drift and the dispersion which are the principal parameters of the model.
Erling B. Andersen
core
Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data
Quarterly Journal of the Royal Meteorological Society, EarlyView.Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga +5 more
wiley +1 more source
Gradient‐ and Newton‐Based Unit Vector Extremum Seeking Control
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes new methods for stable and efficient convergence in multivariable extremum seeking control (ESC) using sliding mode techniques. Inspired by classical sliding modes and finite‐time control, the approach integrates these ideas into gradient‐ and Newton‐based ESC schemes with sinusoidal perturbations.
Roberto Luo +3 more
wiley +1 more source
Microbial Syntrophy Drives Methanogenesis From Residual Hydrocarbons in Anaerobic Oil Sands Tailings. [PDF]
Environ MicrobiolHamidoğlu A, Wang H.
europepmc +1 more source
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
Journal of Field Robotics, EarlyView.ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang +3 more
wiley +1 more source