Results 111 to 120 of about 55,495 (230)

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Perceiving Unpredictability for New Energy Power and Electricity Consumption Forecasting. [PDF]

Entropy (Basel)
Zhao L, Dong J, Chen R, Wang Y, Jin Y, Zhao Y.   +5 more
europepmc   +1 more source

Dimension-by-dimension enhanced cuckoo search algorithm for global optimization

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2019
Liang Chen, Houqing Lu, Hongwei Li, Guojun Wang, L. Chen   +4 more
semanticscholar   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

Advanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani, Shang‐Lin Yeh, Karuna Anna Sajeevan, Mica L. Pitcher, Dawson Alexander, Ratul Chowdhury, Amir Sheikhi   +6 more
wiley   +1 more source

Permutation Entropy and Its Niche in Hydrology: A Review. [PDF]

Entropy (Basel)
Mihailović DT.
europepmc   +1 more source

Magnetism and Nonlinear Charge Transport in NiFe2O4/γ‐Al2O3/SrTiO3 Heterostructure: Toward Spintronic Applications

Advanced Functional Materials, EarlyView.
In this report, we demonstrate that a crystalline phase of 52nm thick NiFe2O4 can be grown by RF sputtering on top of γ‐Al2O3(8nm)/SrTiO3 at a significantly low temperature (150 °C) without compromising the mobility and carrier density of the 2D electron gas at the γ‐Al2O3(8nm)/SrTiO3 interface.
Amit Chanda, Thor Hvid‐Olsen, Christina Hoegfeldt, Anshu Gupta, Alessandro Palliotto, Fardin Ghaffari‐Tabrizi, Maja A. Dunstan, Kasper S. Pedersen, Dae‐Sung Park, Damon J. Carrad, Thomas Sand Jespersen, Felix Trier   +11 more
wiley   +1 more source

HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]

Sci Rep
Nasir K, Badri SK, Alghazzawi DM, Alghamdi MY, Alkhozae M, Almakky A, Alhazmi RM, Asghar MZ.   +7 more
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

2D-Cosine power sine coupled map with fractal-Fibonacci fusion for hyperchaotic image encryption. [PDF]

Sci Rep
Kumar M, Ch D.
europepmc   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source