Results 121 to 130 of about 7,122,625 (292)

Biomimetic Nanovaccine Integrating Dendritic Cell Exosomes with Tumor Cell Membranes for Sustained Prophylaxis Against Glioblastoma

Advanced Functional Materials, EarlyView.
We have developed DEX/GM, an all‐natural, personalizable hybrid vaccine designed by coating dendritic cell‐derived exosomes (DEX) onto tumor cell membranes (GM) for sustained prophylaxis against glioblastoma (GBM). ABSTRACT Glioblastoma (GBM), one of the most aggressive and lethal brain tumors, remains incurable with a poor clinical prognosis.
Shanshan Li, Dongya Zhang, Shiyu Wang, Changhe Pang, Meng Zheng, Bingyang Shi, Yan Zou   +6 more
wiley   +1 more source

Comparative Analysis of Conventional and Focused Data Augmentation Methods in Rib Fracture Detection in CT Images

Diagnostics
Background/Objectives: Rib fracture detection holds critical importance in the field of medical image processing. Methods: In this study, two different data augmentation methods, traditional data augmentation (Albumentations) and focused data ...
Mehmet Çağrı Göktekin, Evrim Gül, Feyza Aksu, Yeliz Gül, Metehan Özen, Yusuf Salik, Merve Kesim Önal, Engin Avci   +7 more
doaj   +1 more source

Thermally Engineered Sodium‐Embedded Alumina with Programmable Synaptic Plasticity for Neuromorphic Transistors

Advanced Functional Materials, EarlyView.
A fully transparent, all‐metal‐oxide neuromorphic transistor using a sodium‐embedded alumina (SEA) electrolyte is demonstrated. By precisely tuning the thermal annealing process, the chemical composition of the SEA layer is controlled, allowing for the deterministic realization of both short‐term and long‐term synaptic plasticity within the same device
Yonghyun Albert Kwon, Jaeyeon Kim, Dong Yeon Won, Saeyoun Park, Youngjae Yoo, Seongchan Kim, Dong‐Hwan Kim, Jeong Ho Cho   +7 more
wiley   +1 more source

Bio-Volumentations: A Python library for augmentation of volumetric image sequences

SoftwareX
Data augmentation is a widely used technique to increase generalization ability of deep learning models, especially when dealing with sparse training data.
Lucia Hradecká, Filip Lux, Samuel Šul’an, Petr Matula   +3 more
doaj   +1 more source

Unlocking Multi‐Valley Energy Pockets and Interface‐Induced Phonon Filtering in InSb Thermoelectrics by Reaction‐Driven Interface Engineering

Advanced Functional Materials, EarlyView.
InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin, Xiao Yang, Xiao‐Lei Shi, Chengyun Xu, Xi Ling, Pengyu Zhang, Jinfeng Dong, Yong Du, Haisheng Chen, Ting Zhang, Zhi‐Gang Chen   +10 more
wiley   +1 more source

OFIDA: Object-focused image data augmentation with attention-driven graph convolutional networks.

PLoS ONE
Image data augmentation plays a crucial role in data augmentation (DA) by increasing the quantity and diversity of labeled training data. However, existing methods have limitations.
Meng Zhang, Yina Guo, Haidong Wang, Hong Shangguan   +3 more
doaj   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

Advanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim, Nahyun Kim, Seok Hee Hong, Ho Jin Lee, Jin Suk Oh, Jae Seong Park, Tae Geun Kim   +6 more
wiley   +1 more source

Formation of Quasi‐Decoupling Interface on Li‐Metal Anodes in High Donor Electrolyte

Advanced Functional Materials, EarlyView.
Li‐metal anode (LMA) is stabilized by introducing Li2Te2 as an electrolyte additive for Li‐metal batteries. Upon contact with Li, Li2Te2 spontaneously converts to Li2Te, which electronically isolates Li from dimethyl sulfoxide due to its large bandgap and minimal Bader charge transfer.
Hyerim Kim, Sunggun Lim, Shivam Kansara, Jimin Park, Hyoju Lee, Hyokyeong Kang, Soohyung Park, Chihyun Hwang, Hansu Kim, Jang‐Yeon Hwang   +9 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source