Results 151 to 160 of about 15,800,199 (248)

An Anti‐Amyloidogenic Approach to Specifically Block Memory Consolidation in Mice for Therapeutic Intervention

open access: yesAdvanced Science, EarlyView.
Functional amyloid conversion of the translation regulator CPEB3 is essential for long‐term memory persistence. This study demonstrates that targeting this molecular switch with the anti‐amyloidogenic peptide QBP1 selectively blocks CPEB3 fibrillation without disrupting phase separation.
Paula López‐García   +13 more
wiley   +1 more source

Electrical properties of NiO bipolar Resistive Random Access Memory (RRAM)

open access: yes, 2013
本論文,我們利用熱蒸鍍法在P-type 矽基板上,度上一層鎳薄膜。將其放入高溫爐氧化,形成氧化鎳薄膜,並利用鋁,做為此結構的上電極,使用AFM以及XRD分析其表面結構以及晶格結構。 本研究分別針對,氧化溫度與氧氣流量此兩種變因,對此結構的雙極電阻式記憶體性質做分析討論。 實驗結果顯示,在提高氧化溫度下,高阻態與低組態的電阻值會隨者溫度上升而上升;在提高流量之下,高阻態與低組態的電阻值會隨者流量上升而下降。而另外粗糙度的提升,會使元件的電阻轉換性質變得更穩定 ...
Chen, Chan-Cheng, 陳展承
core  

Coixenolide Enhances Antitumor Immunity of Cytotoxic CD8+ T Cells by Inhibiting S100A8/A9‐CD36 Axis in Obesity‐Associated Pancreatic Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen   +20 more
wiley   +1 more source

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

open access: yesAdvanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao   +19 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Resistive switching effects of nanocrystalline silicon films in conductive-bridging random-access memory device

open access: yes, 2013
209-212In this work, intrinsic nanocrystalline silicon (NC-Si) thin film is deposited onto the ITO/glass substrate by PECVD and used as the conduction material for the conductive-bridging random-access memory device.
Lina, Jian-Yang, Wang, Bing-Xun
core  

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

open access: yesAdvanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang   +12 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy