Results 251 to 260 of about 397,119 (307)

Exploring the Preprocessing of a Time-Series Healthcare Administrative Dataset on Deep Learning to Improve Prediction

Faezehsadat Shahidi, M. Ethan MacDonald, Dallas Seitz, Rebecca Barry, Geoffrey G. Messier   +4 more
openalex   +1 more source

High‐Concentration Mesogen‐Assisted Exfoliation of Low‐Dimensional Nanomaterials for Achieving Ultralow‐Temperature Actuations of Liquid Crystal Elastomers

Advanced Functional Materials, EarlyView.
Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim, Yeon Gyeong Ha, Dong‐Gue Kang, Chinedum O. Osuji, Dae Seok Kim, Changyeon Lee   +5 more
wiley   +1 more source

Influenza time series prediction models in a megacity from 2010 to 2019: Based on seasonal autoregressive integrated moving average and deep learning hybrid prediction model. [PDF]

Chin Med J (Engl)
Yang J, Yang L, Li G, Du J, Ma L, Zhang T, Zhang X, Yang J, Feng L, Yang W, Wang C.   +10 more
europepmc   +1 more source

Mechanically Tunable Bone Scaffolds: In Vivo Hardening of 3D‐Printed Calcium Phosphate/Polycaprolactone Inks

Advanced Functional Materials, EarlyView.
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz, Pablo Varela, Laura del‐Mazo‐Barbara, Irene Lodoso‐Torrecilla, Emilio Jiménez‐Piqué, Jordi Franch, Miguel Alaminos, Maria‐Pau Ginebra   +7 more
wiley   +1 more source

Investigating the Effects of Full-Spectrum LED Lighting on Strawberry Traits Using Correlation Analysis and Time-Series Prediction. [PDF]

Plants (Basel)
Lu Y, Gong M, Li J, Ma J.
europepmc   +1 more source

Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching

Advanced Functional Materials, EarlyView.
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey, Uwe Hübner, Albane Benardais, Xiaofei Wu, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Henrik Schneidewind, Markus A Schmidt, Virginie Nazabal, Volker Deckert, Jer‐Shing Huang, Wei Wang   +12 more
wiley   +1 more source

A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics. [PDF]

Int J Environ Res Public Health
de Oliveira EV, Aragão DP, Gonçalves LMG.   +2 more
europepmc   +1 more source

DA-SPS: A Dual-stage Network based on Singular Spectrum Analysis, Patching-strategy and Spearman-correlation for Multivariate Time-series Prediction [PDF]

Tianhao Zhang, Shusen Ma, Yu Kang, Yun-Bo Zhao   +3 more
openalex  

Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge

Advanced Functional Materials, EarlyView.
Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu, Shuvankar Gupta, Hengxin Tan, Hyeonhu Bae, Olajumoke Oluwatobiloba Emmanuel, Mingyu Xu, Yan Wu, Xiaofeng Xu, Pengpeng Zhang, Weiwei Xie, Binghai Yan, Xianglin Ke   +11 more
wiley   +1 more source

Coordinated Decision Control of Lane-Change and Car-Following for Intelligent Vehicle Based on Time Series Prediction and Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Zhang K, Pu T, Zhang Q, Nie Z.
europepmc   +1 more source