Results 41 to 50 of about 30,531 (141)
Abstract The probability density function of drops is difficult to model. Current approaches make assumptions that are often problematic, as they allow negative values for the mean of the distribution. While the statistical goodness of fit of those models might be reasonable for precipitation radar estimation, the situation is unsatisfactory if a fully
Francisco J. Tapiador +9 more
wiley +1 more source
In quantum mechanics, a state is an element of a Hilbert space whose dimension exponentially grows with the increase of the number of particles (or qubits, in quantum computing). The vague question "is this huge Hilbert space really there?" has been rigorously formalized inside the computational complexity theory, giving rise to interesting questions ...
openaire +2 more sources
This is the first study to demonstrate that the e‐transmembrane gut model provides more accurate physiological predictions than conventional cell culture inserts when tested by the dietary compound butyrate. The bioelectronic e‐transmembrane platform integrates technological and biological optimizations, enabling the hosting of a complex human gut in ...
Verena Stoeger +12 more
wiley +1 more source
We designed a synthetic DNA origami needle‐like structure inspired by bacteriophages for targeted drug delivery. Functionalized with trastuzumab antibodies, cholesterol, and dyes, it selectively targets SKBR3 cancer cells. A glutathione‐triggered dye payload enables controlled release, and delivery is verified using confocal microscopy and live cell ...
Anirban Samanta +7 more
wiley +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley +1 more source
Kolmogorov complexity and combinatorial methods in communication complexity
We introduce a method based on Kolmogorov complexity to prove lower bounds on communication complexity. The intuition behind our technique is close to information theoretic methods [1,2].
semanticscholar +1 more source
Combined in situ spectroscopy, electron microscopy, and neutron scattering uncover the complex multispecies growth mechanism of MAPbBr3 nanocrystals templated by PS‐P2VP micelles. Tuning P2VP:PbBr2 ratios and introducing methanol‐dissolved A‐cations accelerate nanocrystal formation, yielding emitters with 83 meV linewidths and photoluminescence quantum
Patrick Ganswindt +9 more
wiley +1 more source
Biometric authentication schemes have gained popularity due to their potential for strong security measures and user accessibility. Despite its benefits, significant concerns remain about the security and privacy of biometric data.
S. Aarthi, K. Geetha, N. Sasikaladevi
doaj +1 more source
ABSTRACT Aim Identifying interactors in sensorimotor processing and neurotransmission remains a current challenge for understanding neural information processing and brain function. Methods To evaluate the role of p11 in sensorimotor processing and excitatory synaptic neurotransmission, neuron‐specific lentivirus‐directed p11 silencing, small ...
Esther Vilches‐Herrando +7 more
wiley +1 more source

