Results 71 to 80 of about 5,807,139 (254)
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
MEROMORPHIC FUNCTIONS AND THE HADAMARD PRODUCT
Let \({\mathcal A}\) stand for a set of functions \(F(z)= z^{-1}+a_ 0+a_ 1 z\dots\) holomorphic in the ring \(\mathbb{P}=\{z ...
Jakubowski, Zbigniew J. +1 more
openaire +1 more source
3D printing enables a high entropy alloy‐derived, in situ formed MnOx overlayer that suppresses oxidation–reconstruction and mitigates anodic dissolution, while enhancing electrolyte wetting and bubble release to accelerate interfacial mass transport and OER kinetics.
Benzhi Wang +8 more
wiley +1 more source
In this paper, using $ q- $ derivative operator, we define the class $ \Sigma _{q,v}^{\ast }(n,\alpha ,\beta ,\lambda ) $ of meromorphic univalent functions and obtain coefficient estimates, distortion, closure theorems, modified Hadamard products, some ...
M. K. Aouf +2 more
doaj +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
GENERALIZED HERMITE-HADAMARD TYPE INEQUALITIES FOR PRODUCTS OF CO-ORDINATED CONVEX FUNCTIONS [PDF]
In this paper, we think products of two co-ordinated convex functions for the Hermite-Hadamard type inequalities. Using these functions we obtained Hermite-Hadamard type inequalities which are generalizations of some results given in earlier ...
Tunc, Tuba, Budak, Hüseyin
core +2 more sources
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Khatri-Rao Products for Operator Matrices Acting on the Direct Sum of Hilbert Spaces
We introduce the notion of Khatri-Rao product for operator matrices acting on the direct sum of Hilbert spaces. This notion generalizes the tensor product and Hadamard product of operators and the Khatri-Rao product of matrices.
Arnon Ploymukda, Pattrawut Chansangiam
doaj +1 more source
Characteristics of Onefold Clocks of GPS, Galileo, BeiDou and GLONASS Systems
This research is focused on searching for frequency and noise characteristics for available GNSS (Global Navigation Satellite Systems). The authors illustrated frequency stability and noise characteristics for a selected set of data from four different ...
Qingsong Ai +3 more
doaj +1 more source

