Results 141 to 150 of about 2,426 (180)

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Homogenised balance equations for nematic liquid crystal flow in elastic porous media. [PDF]

Z Angew Math Phys
Alwady M, Mottram NJ, Penta R.
europepmc   +1 more source

Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning

Advanced Science, EarlyView.
This study presents a hierarchically channeled graphitized nanoarchitecture (HPGC‐Z67) as a novel nano‐diagnostic platform. It enables sensitive and efficient N‐glycan extraction from plasma, significantly reducing processing time and cost. The platform identifies pivotal N‐glycans to accurately differentiate between infectious and non‐infectious ...
Yiwen Lin, Ning Li, Heyuhan Zhang, Xufang Hu, Zhiqiang Liu, Chunhui Deng   +5 more
wiley   +1 more source

Experimental memory control in continuous-variable optical quantum reservoir computing. [PDF]

Nat Photonics
Paparelle I, Henaff J, García-Beni J, Gillet É, Montesinos D, Giorgi GL, Soriano MC, Zambrini R, Parigi V.   +8 more
europepmc   +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

Advanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai, Liuyang Cheng, Ali Albazroun, Qiong Wang, Jeongmin Kim, Arman Tekinalp, Soonwook Kim, Charlie Simcox, Ryne Downing, Vagish Sivaramakrishnan, Grace Carsello, Miles Bimrose, Wonsik Eom, William P. King, Mattia Gazzola, Sameh Tawfick   +15 more
wiley   +1 more source

A novel hybrid explainable artificial intelligence modelling approach for smart manufacturing. [PDF]

Int J Adv Manuf Technol
Abhilash PM, Luo X, Liu Q, Qin Y.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Evolution problems with perturbed 1-Laplacian type operators on random walk spaces. [PDF]

Math Ann
Górny W, Mazón JM, Toledo J.
europepmc   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Benchmarking scientific machine-learning approaches for flow prediction around complex geometries. [PDF]

Commun Eng
Rabeh A, Herron E, Balu A, Sarkar S, Hegde C, Krishnamurthy A, Ganapathysubramanian B.   +6 more
europepmc   +1 more source