Results 51 to 60 of about 142,324 (226)

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source

Zwitterionic Self‐Assembled Monolayer for Simultaneous Noise Suppression and Hole Extraction in High‐Performance Near‐Infrared Organic Photodetectors

Advanced Functional Materials, EarlyView.
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin, Gyeong Min Lee, Juyeon Shin, Jaewoong Kim, Tae Hyuk Kim, Do Yeon Kim, Myeong In Kim, Kyeounghak Kim, Jae Won Shim, In Hwan Jung   +9 more
wiley   +1 more source

Heterogeneous Knowledge Distillation Using Conceptual Learning

IEEE Access
Recent advances in deep learning have led to the development of large, high-performing models that have been pretrained on massive datasets. However, employing these models in real-world services requires fast inference speed and low computational ...
Yerin Yu, Namgyu Kim
doaj   +1 more source

Establishing a Model Precursor System: Over a Decade of Research on Carbon Dots from the Citric Acid‐Urea System

Advanced Functional Materials, EarlyView.
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu, Zhiqi Cai, Xiangxin Sun, Hanyi Zhang, Yiming Hao, Jun Wu, Zekun Yan, Xue Wu, Yiqi Liang, Liming Wang, Songnan Qu   +10 more
wiley   +1 more source

Ultrasmall Platinum Nanoparticles for Radiation‐Enhanced Cancer Therapy

Advanced Functional Materials, EarlyView.
This work proposes a nanomedicine‐based strategy to enhance X‐ray radiotherapy for cancer treatment. Ultrasmall Pt‐NPs exhibit catalase‐like activity that may contribute to modulation of the tumor microenvironment and amplify interactions between radiation and biological matter, leading to increased DNA damage.
Miguel Encinas‐Gimenez, Jose I. Garcia‐Peiro, Jose L. Hueso, Eduardo Caleiras, Laura Notario, Felipe Hornos, Pilar Martin‐Duque, Antonio De la Vieja, Jesus Santamaria   +8 more
wiley   +1 more source

High‐Throughput Generation of Tumor Spheroids via Droplet Microfluidics for siRNA‐Loaded Nanomedicine Assessment

Advanced Healthcare Materials, EarlyView.
A droplet microfluidic platform is employed to enable high‐throughput, uniform tumor spheroid generation for evaluating siRNA‐loaded nanomedicines at the protein level. As a proof of concept, breast (MCF‐7) and brain (U87 MG) cancer cell lines are investigated using this platform, revealing penetration profiles and therapeutic responses between the two
Ling Liu, Guoying Wang, Yang Zhang, Bingyang Shi, Ming Li   +4 more
wiley   +1 more source

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Soft-Label Dataset Distillation and Text Dataset Distillation

, 2020
Dataset distillation is a method for reducing dataset sizes by learning a small number of synthetic samples containing all the information of a large dataset.
Schonlau, Matthias, Sucholutsky, Ilia
core  

Development of a Synthetic Hydrogel to Foster Microvascularization of an Endometriosis Microphysiological System

Advanced Healthcare Materials, EarlyView.
ABSTRACT The ascent of novel alternative methods in drug development spotlights the dual needs for improved biological fidelity to in vivo, along with reproducibility, especially in regulatory applications. The need for pre‐clinical models of patient‐derived endometriosis lesions motivates the development of a vascularizable, completely synthetic ...
Lauren Pruett, Laura Bahlmann, Ryan Ogi, Angela Jiao, Priyatanu Roy, Matthew Johnson, David Trumper, Linda Griffith   +7 more
wiley   +1 more source

Melt Electrowriting High Resolution Poly(ethylene‐co‐vinyl acetate) Scaffolds for Soft Tissue Engineering

Advanced Healthcare Materials, EarlyView.
This work pioneers melt electrowriting (MEW) of polyethylene vinyl acetate (PEVA) to fabricate ultra‐compliant, high‐resolution scaffolds. By integrating microscale precision with soft tissue‐like biomechanics, PEVA overcomes stiffness‐driven limitations of conventional MEW polymers, establishing a mechanically biomimetic platform for soft tissue ...
Finn Snow, Darcy De Rauch, Lilith Mabel Caballero Aguilar, Darcy Millett, Jasley Wilding McBride, David R Nisbet, Magdalena Kita, Elena Pirogova, Robert Michail Ivan Kapsa, Anita Quigley   +9 more
wiley   +1 more source