Results 151 to 160 of about 123,032 (276)

Hybrid Power Supply System Monitoring And Control By Using Least Mean Square Algorithm [PDF]

Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, 2018
GYE CHOON PARK, JIN LEE, Na Kil Ju, PRAKASH THAPA, Sung Gi Kwon   +4 more
openaire   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Techno-economic and environmental feasibility of large-scale hybrid renewable energy system for coastal megaprojects: a case study of Ras El-Hekma, Egypt. [PDF]

Sci Rep
Sobhy A, Mohamed M, Kalas A, Elfar MH.
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

A novel hybrid clustering approach for robust ramp event characterization. [PDF]

Sci Rep
Eltohamy MS.
europepmc   +1 more source

Hybrid Model of Power Transformer Fault Classification Using C-set and MFCM – MCSVM

This paper aims to increase the diagnosis accuracy of the fault classification of power transformers by introducing a new off-line hybrid model based on a combination subset of the et method (C-set) & modified fuzzy C-mean algorithm (MFCM) and the
Ali Abdo, Ying Sun, Jian Guo, Yousif Mahmoud, Qingquan Li, Hongru Zhang, Hongshun Liu   +6 more
core   +1 more source

Bioorthogonal Photoactivation of 2‐Nitrobenzyl Caged Doxorubicin Anticancer Prodrugs on Gold Nanostars

Advanced Materials, EarlyView.
Bioorthogonal chemistry was applied to intracellularly photoactivate Doxorubicin (Dox) using gold nanostars (AuNSt) and near‐infrared (NIR) light. Two prodrugs were used: one photoactivatable, masked with 2‐nitrobenzyl carbamate (proDox1) and another photolabile, masked with 2‐nitrobenzyl diol (proDox2), which was attached to the AuNSt surface.
Juan José Esteve‐Moreno, Andrea Escudero, Oscar Ferreira Silvestre, José Manuel Terrés, Mónica Gorbe, Eva Garrido, Carlos Renero‐Lecuna, Judith Langer, María Alfonso, Javier Ibañez, Félix Sancenón, Roberto Cao‐Milán, Luis M. Liz‐Marzán, Alba García‐Fernández, Andy Hernández‐Montoto, Ramón Martínez‐Máñez   +15 more
wiley   +1 more source

DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]

Sci Rep
Abdelhakim E, Ragab DA, Abaza M, Moharam MH.   +3 more
europepmc   +1 more source

Solvent‐Free Thermal Defect Engineering in Molecular Frameworks With Volatile Linkers

Advanced Materials, EarlyView.
Thermal removal of neutral volatile linkers enables precise and solvent‐free generation of metal vacancies in MOFs. This strategy affords redox‐stable, coordinatively unsaturated FeII sites with tunable spin, ligand coordination, and catalytic behavior. The approach offers a general route to design defect‐functional materials through local coordination
Sonia Martínez‐Giménez, Alejandro Orellana‐Silla, Marta Galbiati, Efrén Navarro‐Moratalla, Luca Braglia, Sara Stolfi, José Antonio Real, Víctor Rubio‐Giménez, Sergio Tatay, Carlos Martí‐Gastaldo   +9 more
wiley   +1 more source

An intelligent IoT-machine learning framework for wildfire detection and prediction using a hybrid RF-XGB model. [PDF]

Sci Rep
Radhi AA, Ibrahim AA.
europepmc   +1 more source