Results 91 to 100 of about 489,759 (365)

Approximate Solutions to Three-Point Boundary Value Problems with Two-Space Integral Condition for Parabolic Equations

open access: yesAbstract and Applied Analysis, 2012
We construct a novel reproducing kernel space and give the expression of reproducing kernel skillfully. Based on the orthogonal basis of the reproducing kernel space, an efficient algorithm is provided firstly to solve a three-point boundary value ...
Jing Niu, Yingzhen Lin, Minggen Cui
doaj   +1 more source

Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]

open access: yes, 2010
Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
González, Javier, Muñoz, Alberto
core   +1 more source

Decellularized Extracellular Matrix Scaffolds to Engineer the Dormant Landscape of Microscopic Colorectal Cancer Liver Metastasis

open access: yesAdvanced Healthcare Materials, EarlyView.
Decellularized liver extracellular matrix scaffolds provide a platform to study dormant liver‐metastatic colorectal cancer. They induce reversible dormancy, in combination with nutrient depletion and low dose chemotherapy, through cell cycle arrest and chemotherapy resistance.
Sabrina N. VandenHeuvel   +13 more
wiley   +1 more source

A Hybrid Reproducing Kernel Particle Method for Three-Dimensional Helmholtz Equation

open access: yesMathematics
The reproducing kernel particle method (RKPM) is one of the most universal meshless methods. However, when solving three-dimensional (3D) problems, the computational efficiency is relatively low because of the complexity of the shape function.
Piaopiao Peng, Ning Wang, Yumin Cheng
doaj   +1 more source

A Novel Method for Solutions of Fourth-Order Fractional Boundary Value Problems

open access: yesFractal and Fractional, 2019
In this paper, we find the solutions of fourth order fractional boundary value problems by using the reproducing kernel Hilbert space method. Firstly, the reproducing kernel Hilbert space method is introduced and then the method is applied to this kind ...
Ali Akgül, Esra Karatas Akgül
doaj   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

open access: yesAdvanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis   +6 more
wiley   +1 more source

Kernel Bayes' rule [PDF]

open access: yes, 2011
A nonparametric kernel-based method for realizing Bayes' rule is proposed, based on representations of probabilities in reproducing kernel Hilbert spaces. Probabilities are uniquely characterized by the mean of the canonical map to the RKHS.
Fukumizu, Kenji   +2 more
core   +1 more source

Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection

open access: yesAdvanced Materials, EarlyView.
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li   +9 more
wiley   +1 more source

Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices

open access: yesAdvanced Materials, EarlyView.
The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng   +7 more
wiley   +1 more source

Self‐Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications

open access: yesAdvanced Materials, EarlyView.
This study presents a novel design of a neuromorphic pressure sensor that can generate self‐spiking symmetric signals with direct event‐based encoding through the integration of magnetic spheres and alternating coil circuits. The key advantages of this work include high linearity up to 200 kPa (R2 = 0.997), self‐spiking behavior for simplified signal ...
Jingyi Yang   +17 more
wiley   +1 more source

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