Results 211 to 220 of about 305,582 (332)

Comprehensive Review on Concentrated Solar Photovoltaics: Manufacturing, Cooling Technologies, and Advanced Applications

open access: yesAdvanced Energy and Sustainability Research, Volume 7, Issue 3, March 2026.
This review examines the evolution and current state of concentrated photovoltaic systems, focusing on materials, manufacturing pathways, and thermal management challenges. Advanced cooling techniques and emerging applications are assessed alongside recent digital integration strategies. Through linking performance gains with practical limitations, the
Abdul Ghani Olabi   +7 more
wiley   +1 more source

Breaking Barriers: Advancements in CNS Drug Delivery for Glioblastoma. [PDF]

open access: yesMed Sci (Basel)
Al Fidawi N   +9 more
europepmc   +1 more source

Characterization of Nanoparticles by Taylor Dispersion Analysis Hyphenated to Charge Detection Mass Spectrometry

open access: yesAnalysis &Sensing, Volume 6, Issue 2, March 2026.
Optical and MS characterization of nanoparticles was performed simultaneously through a TDA‐UV/vis‐CDMS setup. The article establishes a new framework for the multimodal characterization of nanoparticles in the ultrahigh mass range. In this new framework, Taylor dispersion analysis (TDA) is integrated with in‐line optical absorbance spectroscopy and ...
Tessa Reinert   +7 more
wiley   +1 more source

Physical‐Background‐Constrained Bias Correction for Daily Precipitation Prediction Over China by a Subseasonal‐to‐Seasonal Model

open access: yesAtmospheric Science Letters, Volume 27, Issue 3, March 2026.
The prediction skill of the CMA‐CPSv3 model beyond 15 days is hindered by both its systematic bias and its incapability in capturing the modulations of predictability sources. The regional‐aggregation‐based QM method can largely overcome the overfitting problem, eliminating the model bias that overestimates drizzle precipitation and underestimates ...
Jie Wu, Li Guo, Xiaolong Jia
wiley   +1 more source

Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee

open access: yesChemie Ingenieur Technik, Volume 98, Issue 3, Page 85-97, March 2026.
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt   +6 more
wiley   +1 more source

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