Results 191 to 200 of about 7,844,010 (281)

Cluster Target Tracking Based on Multi-Sensor Adaptive GLMB Filter. [PDF]

Sensors (Basel)
Zhang Z, Wei D, Xue X.
europepmc   +1 more source

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

A CNN-BiLSTM-GRU and attention-integrated hybrid network for epileptic seizure detection. [PDF]

Front Neurosci
Wang X, Gong T, Li X, Lin T.
europepmc   +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

Click-code-seq protocol for genome-wide single-nucleotide-resolution mapping of major types of DNA modifications. [PDF]

STAR Protoc
Lefevre L, Aghajani EA, Singh NK, Pietrow LMA, Püllen NJL, Takhaveev V, Sturla SJ.   +6 more
europepmc   +1 more source

Optimization problem: grid with two passive filters and an active power filter

In this Master thesis document, there is an analysis on how to find the optimal values for a hybrid filter consisting of both two passive filters (series of R, L and C components) and an active power filter (APF), and comply with the harmonic content in the grid, according to the standard IEEE 519-2022 and with other constraints arbitrarily chosen. The
openaire   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Predicting student grades via adaptive multi-level learning models. [PDF]

Sci Rep
Ibrahimzada AR, Kosif K, Gulsen AS, Yaglica YS, Cakmak A.   +4 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems. [PDF]

Sci Rep
Duraisamy S, Thangavelu V.
europepmc   +1 more source