Results 71 to 80 of about 81,992 (268)
This paper focuses on the application of machine learning algorithms for predicting spinal abnormalities. As a data preprocessing step, univariate feature selection as a filter based feature selection, and principal component analysis (PCA) as a feature ...
Md Raihan-Al-Masud +1 more
doaj +1 more source
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu +10 more
wiley +1 more source
A hydrogel with dynamic cross‐links was formed by cross‐linking hyaluronic acid with curcumin‐preloaded, phenylboronic acid‐modified poly(amidoamine) dendrimers. This hydrogel exhibited excellent injectability and self‐healing ability, enabling controlled Cur release in response to low pH, high reactive oxygen species (ROS) generation, or mechanical ...
Junjie Liu +9 more
wiley +1 more source
Ferritin‐doped hybrid nanoparticles triggered accurate tumor‐specific hemorrhage for enhanced in situ photothermal therapy and evoked anti‐tumor immunity. Notably, HFn/GA‐Fe specifically induced tumor hemorrhage 12 h after intravenous injection, resulting in visible color darkening. Through photoacoustic imaging, tumor vessels could be clearly observed
Haidong Zha +7 more
wiley +1 more source
Photovoltaic power generation prediction constitutes a significant research area within the realm of power system artificial intelligence. Accurate prediction of future photovoltaic output is imperative for the optimal dispatchment and secure operation ...
Weihui Xu +5 more
doaj +1 more source
Combining Classifiers for Delineation of Raining Cloud over North Algeria and Mediterranean Sea [PDF]
In this paper, we presented the application of the classifier combination technique to classify cloud systems, namely stratiform and convective systems.
Bensafi Noureddine +4 more
doaj +1 more source
Forecasting realized volatility models:the benefits of bagging and nonlinear specifications [PDF]
We forecast daily realized volatilities with linear and nonlinear models and evaluate the benefits of bootstrap aggregation (bagging) in producing more precise forecasts.
Eric Hillebrand, Marcelo Cunha Medeiros
core
The synthesis process of MM@PCD@QNPs and its potential mechanism for treating PCOS. (A) Assembly steps of MM@PCD@QNPs. (B) Synthesis and decomposition of MM@PCD@QNPs. (C) Potential therapeutic mechanisms of MM@PCD@QNPs for PCOS. PCD, PABP conjugated with DEX polymer; QUR, quercetin; CDI, N, N′‐carbonyldiimidazole; DEX, dextran; PABP, 4‐(hydroxymethyl ...
Wenzhu Li +9 more
wiley +1 more source
Fast‐acting hydrogel seals bleeding wounds as the illustrated injectable, pH‐responsive network rapidly gels in situ to stop hemorrhage, adhere strongly to wet tissue, and release antibiotics in a controlled, pH‐dependent manner. The material withstands high pressures, shows excellent biocompatibility, and degrades safely, offering a versatile platform
Arvind K. Singh Chandel +5 more
wiley +1 more source
Forecasting Realized Volatility with Linear and Nonlinear Models [PDF]
In this paper we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the S&P 500 and FTSE 100 indexes.
Marcelo Cunha Medeiros, Michael McAleer
core +3 more sources

