Results 111 to 120 of about 215,708 (267)

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +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

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

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Variación morfométrica en el murciélago Sturnira Magna (Chiroptera: Phyllostomidae) Variación morfométrica en el murciélago Sturnira Magna (Chiroptera: Phyllostomidae)

Caldasia, 1986
Evaluamos variación sexual y geográfica en el murciélago neotropical Sturnira magna (Phyllostomidae) por medio de análisis estadístico univariado y multivariado de medidas craneales, mandibulares y corporales. El dimorfismo sexual es significante.
Tamsitt J. R., Valdivieso Darío
doaj  

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

KARAKTERISTIK MORFOMETRIK RUSA SAMBAR (RUSA UNICOLOR) SEBAGAI DASAR KRITERIA SELEKSI SIFAT PERTUMBUHAN

Jurnal Veteriner, 2009
Study on the morphometric characteristic of sambar deer (Rusa unicolor) which will be used as a baseline of growth trait selection had been conducted. The aim of this study is to set up criteria for better selection of sambar deer progeny.
Wirdateti -, Bram Brahmantiyo, Andi Reksodiharjo, Gono Semiadi, Hadi Dahruddin   +4 more
doaj  

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Ladder‐Type Benzene‐Perylene Dyes with Efficient Laser Properties in the Near‐IR by Detracting/Activating Low/High Frequency Vibronic Modes

Advanced Functional Materials, EarlyView.
The NNR‐n series of oligomeric nanographenes delivers exceptional emission performance. This work shows that this performance is originated by their ladder‐type structure, which effectively deactivates low‐frequency vibronic modes. This deactivation neglects the main pathway for non‐emissive deactivation, even in the near‐infrared region. The potential
Marcos Díaz‐Fernández, Álex Farrando Pérez, Fernando Gordillo Gámez, Pedro G. Boj, José M. Villalvilla, José A. Quintana, Yanpei Wan, Daniel Aranda, José Manuel Marín‐Beloqui, Jishan Wu, Zebing Zeng, María A. Díaz‐García, Juan Casado   +12 more
wiley   +1 more source