Results 101 to 110 of about 718,596 (262)
CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi DergisiLiver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs ...
Ümit Yılmaz, Erol Özçekiç
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Enhancing Migraine Classification Through Machine Learning: A Comparative Study of Ensemble Methods
TechnologiesA migraine is a common and complex neurological disorder affecting more than 90% of people globally. Traditional migraine diagnostic and classification methods are time-intensive and prone to error.
Raniya R. Sarra +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
Forecasting with many predictors - Is boosting a viable alternative? [PDF]
This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Buchen, Teresa, Wohlrabe, Klaus
core
Advanced Functional Materials, EarlyView.A mechanically tunable hydrogel composed of gelatin, chondroitin sulfate and laminin promotes angiogenesis in vitro without the supplement of growth factors. Endothelial cells morphogenesis was further enhanced by medium conditioned with bioactive glass 58S‐released ions (Ca and Si), thus offering a promising strategy to vascularize 3D tissue ...
Marco Piazzoni +13 more
wiley +1 more source