Results 91 to 100 of about 168,452 (272)

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

Advanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang, Kejia Li, Ning Wang, Zhen Li, Zhiyong Zhang, Rocky S. Tuan, Yangzi Jiang   +6 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Ensemble classification to predict botnet and its impact on IoT networks

Measurement: Sensors
The IoT (Internet of Things) has been rapidly growing to make a stronger influence on huge industrial systems. Since cybercriminals have made IoT a target for harmful operations such as botnets, an attack on the end nodes is now a possibility. Protecting
G. Chandana Swathi, G. Kishor Kumar, A.P. Siva Kumar   +2 more
doaj   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Polysiloxane‐Based Single‐Ion Conducting Polymer Electrolyte for Sodium Batteries

Advanced Science, EarlyView.
We report a polysiloxane‐based single‐ion conducting polymer electrolyte for sodium batteries. This polymer electrolyte exhibits high Na+ ion mobility and a wide electrochemical stability window, enabling the long‐term stable cycling of various cathode chemistries – also at room temperature, elevated dis‐/charge rates and active material mass loadings,
Yixuan Guo, Hyokyeong Kang, Maider Zarrabeitia, Ludovica Roselli, Hyerim Kim, Vittorio Marangon, Jang‐Yeon Hwang, Dominic Bresser   +7 more
wiley   +1 more source

Performance Analysis and Reliability Prediction of Multi‐State Service Systems With Multiple Failure Modes of Unreliable Server: An Engineering Perspective

Engineering Reports
The long‐term reliability of a machining system is essential for ensuring the uninterrupted operation of an automated manufacturing process. For maintaining optimal system performance, it is essential to model and analyze the system's reliability and ...
Shreekant Varshney, Mohit Bajaj, Kapil Kumar Choudhary, Mukesh Pushkarna, Ievgen Zaitsev   +4 more
doaj   +1 more source

Construction of a Deep Learning Model for Unmanned Aerial Vehicle-Assisted Safe Lightweight Industrial Quality Inspection in Complex Environments

Drones
With the development of mobile communication technology and the proliferation of the number of Internet of Things (IoT) terminal devices, a large amount of data and intelligent applications are emerging at the edge of the Internet, giving rise to the ...
Zhongyuan Jing, Ruyan Wang
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Hybrid LSTM-edge correction architecture for physics-informed crop health monitoring in distributed agricultural robotics

Frontiers in Agronomy
Agricultural robotics-enabled crop health monitoring faces critical trade-offs: standalone on-device models sacrifice accuracy for real-time responsiveness, while cloud-dependent approaches suffer from high latency and communication overhead ...
Rongchuan Yu, Yongsheng Xie, Rifeng Wang, Wenxin Li   +3 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source