Results 121 to 130 of about 137,290 (281)

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu, Haksoon Jung, Yongwoo Lee, Hoichang Jeong, Yanfeng Zhao, Heesoo Yang, Minho Park, Hyeonjin Lee, Seunghun Baek, Minju Song, Junghwan Kim, Youngmin Jo, Hyunjin Park, Munhyeon Kim, Jae‐Joon Kim, Kyuho Jason Lee, Byungjo Kim, Jimin Kwon   +17 more
wiley   +1 more source

Identifying Outliers using Influence Function of Multiple Kernel Canonical Correlation Analysis

, 2016
Imaging genetic research has essentially focused on discovering unique and co-association effects, but typically ignoring to identify outliers or atypical objects in genetic as well as non-genetics variables. Identifying significant outliers is an essential and challenging issue for imaging genetics and multiple sources data analysis.
Alam, Md Ashad, Wang, Yu-Ping
openaire   +2 more sources

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

A Dual‐Functional Electrolyte Additive for Highly Reversible Zinc‐Ion Batteries

Advanced Functional Materials, EarlyView.
This study introduces tetrabutylammonium bromide (TBAB) as a dual‐function additive for aqueous zinc‐ion batteries. TBAB disrupts the hydrogen‐bond network of water while TBA+ adsorbs on Zn to improve interfacial wettability and regulate Zn2+ flux, resulting in suppressed dendrite growth and parasitic reactions. This synergy extended the lifespan of Zn|
Shirui Zhang, Shixun Wang, Jianen Zhang, Jun Liu, Jinfeng Xie, Wentao Tang, Li Guan, He Huang, Qi Xue, Chunyi Zhi   +9 more
wiley   +1 more source

Robust Correlation Analysis with an Application to Functional MRI

, 2008
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are corrupted by local bursts of noise.
Rydell, Joakim, Borga, Magnus, Knutsson, Hans,, Joakim Rydell, Magnus Borga, Hans Knutsson, Rydell, Joakim,, Knutsson, Hans, Borga, Magnus,   +8 more
core   +1 more source

Clusterization‐Triggered Emission from Cellulose‐Based Luminophores in Dilute Aqueous Solution through Imine Formation

Advanced Functional Materials, EarlyView.
Clusterization‐triggered emission is realized in dilute aqueous solution by introducing imine linkages into cellulose‐based luminophores. Imine functionalization creates O/N‐rich, hydrogen‐bonded clustered microenvironments that stabilize emissive states and restrict molecular motions. Luminescence is tunable by amine type and multiplicity.
Yazhou Su, Akihide Sugawara, Madhurangika Panchabashini Horathal Pedige, Youhei Takeda, Satoshi Minakata, Hiroshi Uyama   +5 more
wiley   +1 more source

Functional canonical analysis for square integrable stochastic processes

We study the extension of canonical correlation from pairs of random vectors to the case where a data sample consists of pairs of square integrable stochastic processes.
Wang, Jane-Ling, He, Guozhong, Müller, Hans-Georg   +2 more
core  

Canonical correlation analysis of stochastic trends via functional approximation

This paper proposes a novel approach for semiparametric inference on the number $s$ of common trends and their loading matrix $ψ$ in $I(1)/I(0)$ systems. It combines functional approximation of limits of random walks and canonical correlations analysis, performed between the $p$ observed time series of length $T$ and the first $K$ discretized elements ...
Franchi, Massimo, Georgiev, Iliyan, Paruolo, Paolo   +2 more
openaire   +2 more sources

Variations and trade-offs in leaf and culm functional traits among 77 woody bamboo species

BMC Plant Biology
Background Woody bamboos are the only diverse large perennial grasses in mesic-wet forests and are widely distributed in the understory and canopy. The functional trait variations and trade-offs in this taxon remain unclear due to woody bamboo syndromes (
Xiong Liu, Shixing Zhou, Junxi Hu, Xingcheng Zou, Liehua Tie, Ying Li, Xinglei Cui, Congde Huang, Jordi Sardans, Josep Peñuelas   +9 more
doaj   +1 more source

Targeting Post‐Irradiation Thyroid Dysfunction: Electrospun Scaffolds As A Dual‐Action Approach for Antioxidant and Immune Modulation

Advanced Healthcare Materials, EarlyView.
Radiation‐induced hypothyroidism follows head and neck radiotherapy due to oxidative stress and inflammation. Electrospun polycaprolactone scaffolds containing adenosine have potential to modulate thyroid repair. Scaffolds enhance thyrocyte proliferation, antioxidant enzymes glutathione peroxidase and catalase, reduce senescence and apoptosis markers ...
Maria Heim, Ella‐Louise Handley, Daniel Grant, Lizi M. Hegarty, Elaine Emmerson, Anthony Callanan   +5 more
wiley   +1 more source