Results 71 to 80 of about 84,629 (319)

PhyICNet: Physics-informed interactive learning convolutional recurrent network for spatiotemporal dynamics

Electronic Research Archive
The numerical solution of spatiotemporal partial differential equations (PDEs) using the deep learning method has attracted considerable attention in quantum mechanics, fluid mechanics, and many other natural sciences.
Ruohan Cao, Jin Su, Jinqian Feng, Qin Guo   +3 more
doaj   +1 more source

siRNA Delivery via Cross‐Linked Gelatin Microparticles Enables Targeted Modulation of Osteogenic‐Vascular Cross‐Talk: An Advanced Human 3D in Vitro Test System for Therapeutic siRNA

Advanced Healthcare Materials, EarlyView.
Osteogenic‐angiogenic cross‐talk is a vital prerequisite for vascularized bone regeneration. In this study, we investigated the effects of siRNA‐mediated silencing of two inhibitory proteins, Chordin and WWP‐1, via CaP‐NP‐loaded gelatin microparticles in osteogenically differentiated microtissues.
Franziska Mitrach, Jonas Kubat, Stefan Simm, Alexandra H. Springwald, Burak Demir, Anton Liebezeit, Michael C. Hacker, Michaela Schulz‐Siegmund   +7 more
wiley   +1 more source

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting

, 2020
Magnetic Resonance Fingerprinting (MRF) enables the simultaneous quantification of multiple properties of biological tissues. It relies on a pseudo-random acquisition and the matching of acquired signal evolutions to a precomputed dictionary.
Buonincontri, Guido, Dannenberg, Jonathan, Endt, Sebastian, Gómez, Pedro A., Jones, Derek K., Lipp, Ilona, Menze, Bjoern H., Menzel, Marion I., Merola, Alberto, Molina-Romero, Miguel, Pirkl, Carolin M., Sekuboyina, Anjany, Tomassini, Valentina, Tosetti, Michela, Waldmannstetter, Diana, Whittaker, Joseph R.   +15 more
core  

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations [PDF]

, 2022
Xiaoling Lin, Hong‐Zhang Wang, Jing Guo, Gang Mei   +3 more
openalex   +1 more source

Intelligent Extraction of Remote Sensing Image Change Patches Based on Deep Learning and Human–Computer Collaboration in Coal Mine Surface Areas

IEEE Access
Deep learning-based change detection methods are sensitive to illumination and registration errors and require a massive amount of samples during training, which is challenging to acquire in tasks related to coal mining.
Huachao Yang, Sen Wang, Hefang Bian, Bin Li   +3 more
doaj   +1 more source

Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning

, 2019
This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids.
Arghandeh, Reza, Hamidi, Reza Jalilzadeh, Livani, Hanif, Niazazari, Iman   +3 more
core  

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source