Results 181 to 190 of about 9,508 (218)

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

Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]

Sci Rep
Fatima A, Asjad MI, Aslam MN, Riaz MB.
europepmc   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

Advanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Physics-Informed Modified Kolmogorov-Arnold Network for CO Concentration Prediction in Gob Areas of Coal Spontaneous Combustion. [PDF]

Sensors (Basel)
Li Z, Hou J, Han L, Wang X.
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

Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash. [PDF]

Sci Rep
Kazemi R, Pour MA, Gandomi AH.
europepmc   +1 more source

Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis

Advanced Science, EarlyView.
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun, Qihong Li, Bixi Wang, Gang Wang, Ying Xue, Yibing Liang, Chenhe Hu, Zhenyu Wang, Xiaoge Gao, Haiheng Xu, Jun Song, Hailong Li, Liantao Li, Xiaoxiao Liu, Patrick Ming‐Kuen Tang, Qing Zhang   +15 more
wiley   +1 more source

The role of fractional derivatives and magnetic fields in shaping MHD newtonian flow behavior in injected diverging channels. [PDF]

Sci Rep
Tolami M, Nazari-Golshan A, Nourazar SS.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Hybrid GA-SQP neural network frame for solving english language learning. [PDF]

Sci Rep
Abbasi AZ, Jaghdam IH, Aoudia M, Maatki C, Hassen W, Kolsi L.   +5 more
europepmc   +1 more source