Results 41 to 50 of about 550,724 (243)
Parabolic Integrodifferential Equations with Singular Kernels
The parabolic integrodifferential Volterra equation \((\Delta\) is the Laplacian) \[ u_ t(t,x)=(\Delta+c)\int^ t_ 0k(t-s)u(s,x)ds+k_ 0u(t,x)+f(t,x), \] \(t\in[0,T]\), \(x\in\Omega\subset R^ n\), \(u(0,x)=u_ 0(x)\), is considered. The set \(\Omega\) is assumed to be bounded; \(c\) and \(k_ 0\) are real constants.
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Liou and Cheng (J Educ Behav Stat 20(3):259–286, 1995) discussed large-sample approximations for the standard error of equating (SEE) using the results of Bahadur (Ann Math Stat 37(3):577–580, 1966) and Ghosh (Ann Math Stat 42(6):1957–1961, 1971) on the ...
Wallin, Gabriel +3 more
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ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti +16 more
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Singular integral equations with Cauchy kernels [PDF]
Not ...
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Comparison Of Kernel Equating And Item Response Theory Equating Methods
The kernel method of test equating is a unified approach to test equating with some advantages over traditional equating methods. Therefore, it is important to evaluate in a comprehensive way the usefulness and appropriateness of the Kernel equating (KE)
Meng, Yu
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Supplemental Material for Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests by Joakim Wallmark, Maria Josefsson, and Marie Wiberg in Applied Psychological Measurement.
Joakim Wallmark (17261107) +2 more
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Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
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A Kernel Loss for Solving the Bellman Equation
Value function learning plays a central role in many state-of-the-art reinforcement-learning algorithms. Many popular algorithms like Q-learning do not optimize any objective function, but are fixed-point iterations of some variant of Bellman operator that is not necessarily a contraction.
Yihao Feng +2 more
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Comparison of Different Bandwidth Determination Methods in Kernel Equating [PDF]
The study aims to compare the presented methods for determining the bandwidth parameter in the kernel equating method on a real data set. A bandwidth parameter needs to be determined when kernel equating is used to equate two test forms.
Özdemir, Vildan
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This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source

