Results 61 to 70 of about 958,747 (333)

Adsorption and Separation by Flexible MOFs

Advanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska, Volodymyr Bon, Antonia Mosberger, Yutong Wang, Stefan Kaskel   +4 more
wiley   +1 more source

Shepard’s method of “metric interpolation” to bivariate and multivariate interpolation [PDF]

Mathematics of Computation, 1978
Shepard developed a scheme for interpolation to arbitrarily spaced discrete bivariate data. This scheme provides an explicit global representation for an interpolant which satisfies a maximum principle and which reproduces constant functions. The interpolation method is basically an inverse distance formula which is generalized to any Euclidean metric.
William J. Gordon, James A. Wixom
openaire   +1 more source

Advancements in Understanding the Physicochemical Properties of Reticular Materials: An In Situ and Operando Spectroscopic Perspective

Advanced Materials, EarlyView.
This review explores how in situ and operando spectroscopic techniques reveal the real‐time behavior of reticular materials, including MOFs and COFs. These methods track material formation and functionalization, structural changes, defect formation, dynamic responses to external triggers, and catalytic processes.
Bettina Baumgartner, Anna Wach, Xinwei Ye, Evelyn Ploetz, Bert M. Weckhuysen   +4 more
wiley   +1 more source

Multivariate Anisotropic Interpolation on the Torus [PDF]

, 2014
We investigate the error of periodic interpolation, when sampling a function on an arbitrary pattern on the torus. We generalize the periodic Strang-Fix conditions to an anisotropic setting and provide an upper bound for the error of interpolation. These conditions and the investigation of the error especially take different levels of smoothness along ...
Jürgen Prestin, Ronny Bergmann
openaire   +3 more sources

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset

Sensors, 2023
Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the
Qihong Gan, Lang Gong, Dasha Hu, Yuming Jiang, Xuefeng Ding   +4 more
doaj   +1 more source

Artesunate Nanoplatform Targets the Serine–MAPK Axis in Cancer‐Associated Fibroblasts to Reverse Photothermal Resistance in Triple‐Negative Breast Cancer

Advanced Materials, EarlyView.
The artesunate nanoplatform selectively targets ECM CAF, functioning as a GTPase inhibitor through disruption of intracellular serine homeostasis. This metabolic intervention effectively suppresses MAPK cascade activity, which consequently inhibits PTT‐induced CAF to ECM CAF differentiation.
Dongdong Zheng, Jiaqi Yan, Xuejiao Liu, Zhiming Zhang, Anqi Jin, Yue Zhao, Lu Bai, Mengyao Quan, Xiuzhu Qi, Bin Fu, Zhigang Wu, Jin Zhou, Han Han, Ziqi Wang, Shiyu Wang, Chaoqiang Deng, Weijian Sun, Cai Chang, Shichong Zhou, Hongbo Zhang   +19 more
wiley   +1 more source

Multivariate Refinable Interpolating Functions

Applied and Computational Harmonic Analysis, 1999
AbstractIn this paper we present an algorithm for the construction of uniformly continuous, compactly supported refinable interpolating functions for arbitrary dilation matrices. We investigate the asymptotic behavior of their symbols and we develop a link to the theory of translation invariant MRA.
openaire   +2 more sources

Multivariate Newton Interpolation

, 2018
For $m,n \in \mathbb{N}$, $m\geq 1$ and a given function $f : \mathbb{R}^m\longrightarrow \mathbb{R}$, the polynomial interpolation problem (PIP) is to determine a unisolvent node set $P_{m,n} \subseteq \mathbb{R}^m$ of $N(m,n):=|P_{m,n}|=\binom{m+n}{n}$ points and the uniquely defined polynomial $Q_{m,n,f}\in _{m,n}$ in $m$ variables of degree ...
Hecht, Michael, Hoffmann, Karl B., Cheeseman, Bevan L., Sbalzarini, Ivo F.   +3 more
openaire   +2 more sources

Rational Development of a Novel Emulgel Adjuvant for Single‐Shot Effective Vaccination: A Multivariate Analysis Approach

Advanced Materials, EarlyView.
Using multivariate analysis, a novel emulgel adjuvant is developed by combining key nanoemulsion formulation variables–hydrogel trapping, small globule size, and mannide monooleate surfactant–achieving 10× greater immunogenicity than MF59 in mice after a single shot.
Ahmed O. Shalash, Waleed M. Hussein, Ummey J. Nahar, Jingwen Wang, Lantian Lu, Armira Azuar, Jolynn J. E. Kiong, Prashamsa Koirala, Zeinab G. Khalil, Istvan Toth   +9 more
wiley   +1 more source