Results 201 to 210 of about 190,765 (284)
Study on ASJ Cutting of TC18, Based upon Multivariate Nonlinear Regression and SA-BP-AGA. [PDF]
Lin J +5 more
europepmc +1 more source
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong +6 more
wiley +1 more source
Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming. [PDF]
Wong WK, Yin Y, Zhou J.
europepmc +1 more source
High‐grade serous ovarian carcinoma (HGSOC) is plagued by platinum resistance, with malignant ascites closely linked to poor outcomes. Here, we identify ASCOR, a circRNA enriched in ascites small extracellular vesicles (sEVs) from platinum‐resistant HGSOC patients, as a predictor of poor survival. ASCOR enhances platinum resistance in vitro and in vivo
Hanyuan Liu +10 more
wiley +1 more source
Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach. [PDF]
Demidenko E.
europepmc +1 more source
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang +7 more
wiley +1 more source
Fast nonlinear regression method for CT brain perfusion analysis. [PDF]
Bennink E +5 more
europepmc +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Nonlinear regression on Riemannian manifolds and its applications to Neuro-image analysis. [PDF]
Banerjee M +4 more
europepmc +1 more source
Intrinsic PPG–ECG Coupling for Accurate and Low‐Power Blood Pressure Monitoring
A PPG–ECG coupling strategy for continuous blood pressure monitoring that intrinsically synchronizes signals within a single waveform is demonstrated, minimizing synchronization errors and hardware complexity. This approach halves power consumption while maintaining high accuracy, enabling compact, energy‐efficient wearable devices for personalized ...
Sitong Chen +5 more
wiley +1 more source

