Results 221 to 230 of about 599,022 (331)

Shape‐Morphing Nanoengineered Hydrogel Ribbons as Hemostats

Advanced Functional Materials, EarlyView.
This study introduces a self‐assembling, shape‐morphing nanoengineered hydrogel ribbon system that rapidly forms porous aggregates in situ for efficient hemostasis in trauma and surgical applications. Abstract Rapid and effective hemorrhage control remains a major challenge in trauma and surgical care, particularly for complex or noncompressible wounds.
Ryan Davis Jr, Saptarshi Biswas, Jacob Aragon, Asaf Dana, Jasmine Sureka, Vaaridhi Ramanuja, Jeevika Thazhaiselvam, Sarah E. Miller, Taylor H. Ware, Akhilesh K. Gaharwar   +9 more
wiley   +1 more source

Improving Clinical Generalization of Pressure Ulcer Stage Classification Through Saliency-Guided Data Augmentation. [PDF]

Diagnostics (Basel)
Choi JW, Rhee WL, Han DH, Kang M.
europepmc   +1 more source

Germanane Quantum Dots Promote Metabolic Reprogramming of Immune Cells Toward Regulatory T Cells and Suppress Inflammation In Vitro and In Vivo

Advanced Functional Materials, EarlyView.
Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava, Alireza Rafieerad, Weiang Yan, Keshav Narayan Alagarsamy, Qingdong Guan, Leena Regi Saleth, Michel Aliani, Sanjiv Dhingra   +7 more
wiley   +1 more source

Enhancing Melanoma Diagnosis in Histopathology with Deep Learning and Synthetic Data Augmentation. [PDF]

Bioengineering (Basel)
Rodriguez Alonso A, Sanchez Diez A, Cancho Galán G, Ibarrola Altuna R, Irigoyen Miró G, Penas Lago C, Boyano López MD, Izu Belloso R.   +7 more
europepmc   +1 more source

Data augmentation-based enhanced fingerprint recognition using deep convolutional generative adversarial network and diffusion models [PDF]

Yukai Liu
openalex   +1 more source

Stretchable p/n‐Pair Thermoelectric Fibers Based on Core (Ag)–Shell (Ag2Se) Structure for Wearable Electronics

Advanced Functional Materials, EarlyView.
Stretchable p/n‐pair Ag@Ag2Se TE fibers are developed for next‐generation fiber‐based electronics. The TE fibers maintain excellent electrical conductivity and a high Seebeck coefficient under strain. Integrated into textiles, they enable simultaneous temperature and strain sensing, as well as energy harvesting, offering great potential for ...
Chaebeen Kwon, Sanghyeon Lee, Sungjoon Cho, Chihyeong Won, Byeonggwan Kim, Kyung‐In Jang, Taeyoon Lee   +6 more
wiley   +1 more source

Improving Grammatical Error Correction via Contextual Data Augmentation [PDF]

Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu, Wanxiang Che   +5 more
openalex   +1 more source

Impact of Lattice Heterogeneity on Broadband Optical Retardation in Stacked 2D Perovskite Single Crystals

Advanced Functional Materials, EarlyView.
It is shown that interfaces between organic and inorganic layers govern long‐range stacking disorder and in‐plane anisotropy in 2D metal‐halide perovskites. By comparing single‐cation AB‐AB and ordered mixed‐cation ABCD‐ABCD stackings, SCXRD reveals enhanced mosaicity, while optics confirm high birefringence.
Yixuan Dou, Nicholas Nici, Sunhao Liu, Xiaoming Wang, Yanfa Yan, Carla Slebodnick, Lina Quan   +6 more
wiley   +1 more source

Heart Murmur Detection in Phonocardiogram Data Leveraging Data Augmentation and Artificial Intelligence. [PDF]

Diagnostics (Basel)
Valaee M, Shirani S.
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source