Results 191 to 200 of about 152,745 (261)

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Bio-Inspired Multi-Granularity Model for Rice Pests and Diseases Named Entity Recognition in Chinese. [PDF]

Biomimetics (Basel)
Tang Z, Lu X, Liu E, Zhong Y, Peng X.
europepmc   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

On the smooth locus of affine Schubert varieties. [PDF]

Math Ann
Pappas G, Zhou R.
europepmc   +1 more source

The polynomial representation of the double affine Hecke algebra of type $(C^\vee_n, C_n)$ for specialized parameters

, 2008
Masahiro Kasatani
openalex   +2 more sources

A Level-One Representation of the Quantum Affine Superalgebra $\UqMN$ [PDF]

, 1997
Kazuhiro Kimura, Jun x ichi Shiraishi, Jun Uchiyama   +2 more
openalex   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

$$\mathfrak {k}$$-Structure of Basic Representation of Affine Algebras

Benedikt König
openalex   +1 more source

Depth cues do not specify a unique Affine or Euclidean shape representation

, 2010
Massimiliano Di Luca, Fulvio Domini, Corrado Caudek   +2 more
openalex   +1 more source

Engineering a Single Amino Acid Bionanozyme for Ultrasensitive Detection of Biomarkers: A WHO‐REASSURE‐ Aligned Approach

Advanced Functional Materials, EarlyView.
A unique 2D bionanozyme, engineered from a single amino acid and copper ions, demonstrates peroxidase‐mimicking catalytic activity. This efficient and simple bionanozyme allows for ultrasensitive, equipment‐free visual detection of key biomarkers in both test and real samples, meeting the WHO‐REASSURE standards for practical diagnostic applications ...
Subrat Vishwakarma, Om Shanker Tiwari, Vijay Kumar Patel, Ruchi Shukla, Ehud Gazit, Pandeeswar Makam   +5 more
wiley   +1 more source