Results 251 to 260 of about 2,194,803 (325)

Statistical properties of multivariate distance matrix regression for high-dimensional data analysis. [PDF]

Front Genet, 2012
Zapala MA, Schork NJ.
europepmc   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

Advanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen, Hung Wei Shiu, Yu‐Xun Chen, Erdembayalag Batsaikhan, Yu‐Ling Lai, Su Ling Cheng, Tohru Araki, Jyh‐Fu Lee, Michitoshi Hayashi, Yao‐Jane Hsu   +9 more
wiley   +1 more source

Multiscale SPD manifold learning for rehabilitation exercise evaluation. [PDF]

Sci Rep
Bai Z, Snášel V, Grosan C, Mirjalili S, Vo B, Pan JS, Kong L.   +6 more
europepmc   +1 more source

NMDS biplot of a chord distance matrix of the physicochemical data in honey (stress = 0.04).

, 2016
Estevinho Leticia M., Chambó Emerson Dechechi, Pereira Ana Paula Rodrigues, Alfredo Lopes de Carvalho Carlos, de Alencar Arnaut de Toledo Vagner   +4 more
openalex   +2 more sources

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Lightweight 3D Multi-Object Tracking via Collaborative Camera and LiDAR Sensors. [PDF]

Sensors (Basel)
Feng D, Liu H, Liu Z.
europepmc   +1 more source

Fig S2. PCoA analysis based on Bray Curtis distance matrix algorithm of different seasons(A) and different years(B)

Emam, dilraba
openalex   +1 more source

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

Uncovering heterogeneous intercommunity disease transmission from neutral allele frequency time series. [PDF]

Proc Natl Acad Sci U S A
Okada T, Isacchini G, Yu Q, Hallatschek O.   +3 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source