Results 161 to 170 of about 185,046 (290)

Human Gut Bacteria and Lipidic Nanoparticles: Particle Composition Predicts Structural Transformation and Bacterial Biocompatibility

Advanced Functional Materials, EarlyView.
Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell, Emily L. Gulliver, Livia Salvati Manni, Frithjof Herb, Caitlin Welsh, Samuel C. Forster, Andrew J. Clulow, Wye‐Khay Fong   +7 more
wiley   +1 more source

Enhancing remote sensing road extraction via DS-Unet with complementary attention and surrogate gradients. [PDF]

Sci Rep
Wang J, Huang Z, Ren C, Shao H, Li H.
europepmc   +1 more source

Emergent Topological Magnons and Thermal Hall Effect in 2D Filling‐Enforced Fully Compensated Ferrimagnets

Advanced Functional Materials, EarlyView.
Schematic illustration of ferroelectric‐intercalation‐driven transitions in magnetic configurations and magnonic topological phases, together with the symmetry relations of magnonic Berry curvature. ABSTRACT Magnons in collinear magnets with vanishing net magnetization offer unique advantages for spin transport, including ultrafast dynamics and ...
Yingxi Bai, Bo Yuan, Zhenzhou Guo, Jian Zhang, Ying Dai, Baibiao Huang, Xiaotian Wang, Chengwang Niu, Gang Zhang   +8 more
wiley   +1 more source

DSWFNet: dual-branch fusion of spatial and wavelet features for road extraction from remote sensing images. [PDF]

Sci Rep
Zhang K, As'arry A, Shen X, Hairuddin AA, Hassan MK, Zhu L, Qin W.   +6 more
europepmc   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Improved Road Extraction Models through Semi-Supervised Learning with ACCT

Improving the performance and reducing the training cost of road extraction models in the absence of samples is important for updating road maps. Despite the success of recent road extraction models on standard datasets, they often fail to perform when ...
Hao Yu, Xiuyuan Zhang, Zhijiang Li, Shihong Du, Zhenshan Tan   +4 more
core   +1 more source

Heterogeneous dual-decoder network for road extraction in remote sensing images. [PDF]

Sci Rep
Qu S, Liu G, Zhang X, Liu Y.
europepmc   +1 more source

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu, Haksoon Jung, Yongwoo Lee, Hoichang Jeong, Yanfeng Zhao, Heesoo Yang, Minho Park, Hyeonjin Lee, Seunghun Baek, Minju Song, Junghwan Kim, Youngmin Jo, Hyunjin Park, Munhyeon Kim, Jae‐Joon Kim, Kyuho Jason Lee, Byungjo Kim, Jimin Kwon   +17 more
wiley   +1 more source

Dynamic programming approach for road centerline extraction from digital images

, 2004
This paper presents a dynamic programming approach for semi-automated road extraction from medium-and high-resolution images. This method is a modified version of a pre-existing dynamic programming method for road extraction from low-resolution images ...
Dal Poz, Aluir Porfirio, Do Vale, Giovane Maia   +1 more
core  

A Label Refining Framework Based on Road Matching and Integration Algorithm for Road Extraction

Road network plays an important role in the fields of navigation, urban planning, and transportation. Extracting road network data from imagery based on machine learning models is an efficient and economical method for obtaining road network data.
Guodong Ma, Zekai Shi, Jian Yang, Yaowei Zhang, Meng Zhang, Haoyuan Ren   +5 more
core   +1 more source