Results 71 to 80 of about 9,653,321 (312)

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Transfinite Patches for Isogeometric Analysis

Mathematics
This paper extends the well-known transfinite interpolation formula, which was developed in the late 1960s by the applied mathematician William Gordon at the premises of General Motors as an extension of the pre-existing Coons interpolation formula. Here,
Christopher Provatidis
doaj   +1 more source

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

Advanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang, Weinuo Qu, Wenwen Cai, Chuhuai Wang, Chenxi Lyu, Qingguo Xie, Qian Chu, Yaqi Shen, Peng Xiao, Feng Li, Qingpeng Zhang, Jiali Li, Jeong Min Lee, Zhen Li   +13 more
wiley   +1 more source

Use of Smoothing Methods for Estimating the Coefficients of Time Dependent Rate Models in Survival Analysis and its Application in Psoriasis Disease

مجله اپیدمیولوژی ایران, 2016
Background and Objectives: In studies in which each person may experience an event at different times, they are recurrent events.One of the most popular approaches in analyzing recurrent event is obtaining an estimate of the means/rate of events at ...
F Osmani, E Hajizadeh, P Mansoori
doaj  

Generalized Cardinal Polishing Splines Signal Reconstruction

Mathematics
Sampling and reconstruction are indispensable processes in signal processing, and appropriate foundations are crucial for spline reconstruction models.
Fangli Sun, Zhanchuan Cai
doaj   +1 more source

Bayesian Varying-coefficient Models using Adaptive Regression Splines [PDF]

, 2000
Varying-coefficient models provide a flexible framework for semi- and nonparametric generalized regression analysis. We present a fully Bayesian B-spline basis function approach with adaptive knot selection.
Ludwig Fahrmeir, Biller, Clemens, Clemens Biller, Fahrmeir, Ludwig   +3 more
core   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source

CALIBRATION RELATIONS FOR ANALOGUES OF THE BASIS SPLINES WITH UNIFORM NODES

Ural Mathematical Journal, 2017
The paper deals with generalized linear and parabolic B-splines with the uniform nodes constructed by means only one function \(\varphi(x)\). For such splines in this paper conditions have been found that guarantee satisfaction of two-scale relations.
Valerii T. Shevaldin
doaj   +1 more source

Rectangular V-Splines

, 1986
This article describes and presents examples of some techniques for the representation and interactive design of surfaces based on a parametric surface representation that uses v-spline curves.
G. Nielson
core  

Statistical encounters with complex B-splines.

, 2009
Complex B-splines as introduced in Forster et al. (Appl. Comput. Harmon. Anal. 20: 281-282, 2006) are an extension of Schoenberg's cardinal splines to include complex orders.
Massopust, P., Forster, B.
core   +1 more source