Results 51 to 60 of about 14,407 (260)

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

Efficacy and Safety Assessment of 5‐Fluorouracil, Irinotecan and Oxaliplatin‐Loaded Implants in Mouse and Pig Models for Pancreatic Cancer Therapy

Advanced Materials, EarlyView.
A novel FIRINOX‐loaded implant demonstrates controlled drug release, and potent therapeutic efficacy in pancreatic ductal adenocarcinoma mouse models with safety confirmed in a large‐animal pre‐clinical model. This innovative drug delivery platform offers a promising new treatment approach for non‐resectable, treatment‐resistant pancreatic cancer ...
Samantha J. Wade, Ashna A. Kumar, Samuel O. Nitschke, Paul Joyce, Elahe Minaei, Stephanie E. Reuter Lange, Chelsea Penney, Holly Warren, Ruby Shepherd, Jeremy N. Dinoro, Gordon G. Wallace, Anthony Dosseto, Sameera Ansar, Naila Islam, Alistair Lochhead, George Sharbeen, Phoebe A. Phillips, Morteza Aghmesheh, Wayne J. Hawthorne, Kara L. Vine‐Perrow   +19 more
wiley   +1 more source

Homogeneous numerical cubature formulas of interpolatory type

Journal of Numerical Analysis and Approximation Theory, 2002
In this paper we construct homogeneous numerical cubature formulas based on some numerical multivariate interpolation schemes.
Gheorghe Coman, Maria Solomon
doaj   +2 more sources

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Integrating Interpolation and Extrapolation: A Hybrid Predictive Framework for Supervised Learning

Applied Sciences
In the domain of supervised learning, interpolation and extrapolation serve as crucial methodologies for predicting data points within and beyond the confines of a given dataset, respectively. The efficacy of these methods is closely linked to the nature
Bo Jiang, Xinyi Zhu, Xuecheng Tian, Wen Yi, Shuaian Wang   +4 more
doaj   +1 more source

Reduction of decision rule of multivariate interpolation and approximation method in the problem of data classification [PDF]

Компьютерные исследования и моделирование, 2016
This article explores a method of machine learning based on the theory of random functions. One of the main problems of this method is that decision rule of a model becomes more complicated as the number of training dataset examples increases.
Ivan Vladimirovich Kopylov
doaj   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

Multivariate Smooth Symmetrized and Perturbed Hyperbolic Tangent Neural Network Approximation over Infinite Domains

Mathematics
In this article, we study the multivariate quantitative smooth approximation under differentiation of functions. The approximators here are multivariate neural network operators activated by the symmetrized and perturbed hyperbolic tangent activation ...
George A. Anastassiou
doaj   +1 more source

Bacteria and Fungi Synergistically Reprogram Flavonoid Metabolites in the Pericarp of Citrus Reticulata 'Chachi' During Storage

Advanced Science, EarlyView.
The authors employed widely targeted metabolomics, microbial amplicon sequencing, and fermentation assays to investigate the microbiome 's influence on PCRC 's (pericarp of Citrus reticulata ' Chachi ') flavonoid profile over 0–19 years of storage. Based on the correlation analysis, solid‐state and liquid‐state fermentation, and catalytic activity ...
Jianmu Su, Sisheng Zhang, Lidi Liang, Haiyi Bai, Mei Bai, Hanjun He, Yayu Wang, Huan Liu, Xiangxiu Liang, Yu Sun, Hong Wu   +10 more
wiley   +1 more source