Results 191 to 200 of about 373,352 (287)

Towards High‐Acuity Vision Restoration: Hybrid Retinal Prosthesis Composed of a High‐Density Multielectrode Array Integrated With Glutamatergic Cells

Advanced Functional Materials, EarlyView.
This work introduces a novel Hybrid Retinal Implant (HRI), composed of a high‐density electrode array integrated with glutamatergic neurons to overcome key limitations of current retinal prostheses. The significant reduction of activation threshold and of electrode cross‐talk yields in an improved spatial resolution.
Nairouz Farah, Amos Markus, Gal Shpun, Yoav Chemla, Erel Lasnoy, Tamar Azrad‐Leibovitch, Fikre Fentahon, Zeev Zalvesky, Yossi Mandel   +8 more
wiley   +1 more source

HyperACP: A cutting-edge hybrid framework for anticancer peptide classification via scalable feature extraction and adaptive neighbor-based synthesis. [PDF]

PLoS Comput Biol
Zhang B, Zuo Y, Wan J, Liu J, Liu X, Zeng X, Deng Z.   +6 more
europepmc   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

The importance of language analysis to mathematical, quantitative and computational sciences

, 2019
openaire   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A large language model for multimodal identification of crop diseases and pests. [PDF]

Sci Rep
Wang Y, Wang F, Chen W, Lv B, Liu M, Kong X, Zhao C, Pan Z.   +7 more
europepmc   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

Advanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma, Xueying Guo, Najet Mahmoudi, Pierangelo Gobbo, Wuge H. Briscoe   +4 more
wiley   +1 more source

Seamless optical cloud computing across edge-metro network for generative AI. [PDF]

Nat Commun
Xing S, Sun A, Wang C, Wang Y, Dong B, Hu J, Deng X, Yan A, Liu Y, Hu F, Li Z, Huang O, Zhao J, Zhou Y, Li Z, Shi J, Xiao X, Penty R, Cheng Q, Chi N, Zhang J.   +20 more
europepmc   +1 more source

Ce3+‐Activated Lithium Rare‐Earth Oxonitridolithosilicates: A New Class of LED Phosphors with Similarities to Garnets

Advanced Functional Materials, EarlyView.
Garnet‐like luminescence upon Ce3+‐activation is found in the first six representatives Li9RESi4N4O8 (RE = Y, La, Gd, Dy, Yb, Lu) of the substance class of lithium rare‐earth oxonitridolithosilicates, which also show a novel structure type. High‐temperature solid‐state synthesis yielded crystalline samples for single‐crystal X‐ray diffraction‐based ...
Kilian M. Rießbeck, Markus Seibald, Christiane Stoll, Anja Köbler, Markus Suta, Hubert Huppertz   +5 more
wiley   +1 more source

Detection of offensive content in the Kazakh language using machine learning and deep learning approaches. [PDF]

PeerJ Comput Sci
Bolatbek M, Sagynay M, Mussiraliyeva S, Yeltay Z.   +3 more
europepmc   +1 more source