Results 101 to 110 of about 137,048 (270)

Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation

Journal of Engineered Fibers and Fabrics
In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets.
Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi   +6 more
doaj   +1 more source

Gut Lactate Boosts Ruminococcus via Histone Lactylation to Mediate Time‐Restricted Feeding Protection in Crohn's Disease

Advanced Science, EarlyView.
TRF enriches Ruminococcus, a bacterial genus producing SCFAs, and activates the epithelial HIF‐1α signaling pathway. This mechanism protects the colonic mucosa from inflammatory insults in colitis models. Mechanistically, gut lactate production during starvation and refeeding mediates H4K12la, which increases SLC9A3 expression and creates an acidic gut
Linwen Huang, Huishi Tan, Senhui Weng, Yuntao Liu, Lingxu Song, Shaoyu Cheng, Zelong Lin, Jiawei Chen, Fei Tan, Jun Wang, Jinke Huang, Linkun Cai, Jiwei Chai, Cailing Zhong, Yanqiang Shi, Wendi Zhang, Haiyan Zhang, Chongyang Huang   +17 more
wiley   +1 more source

Blind Super-Resolution Based on Interframe Information Compensation for Satellite Video

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Super-resolution (SR) of satellite video has long been a critical research direction in the field of remote sensing video processing and analysis, and blind SR has attracted increasing attention in the face of satellite video with unknown degradation ...
Hongliang Chang, Haijiang Sun, Jinchang Ren, Qiaoyuan Liu, Xiaowen Zhang   +4 more
doaj   +1 more source

Blind Video Super-Resolution based on Implicit Kernels

CoRR
Blind video super-resolution (BVSR) is a low-level vision task which aims to generate high-resolution videos from low-resolution counterparts in unknown degradation scenarios. Existing approaches typically predict blur kernels that are spatially invariant in each video frame or even the entire video.
Qiang Zhu, Yuxuan Jiang, Shuyuan Zhu, Fan Zhang 0017, David Bull 0001, Bing Zeng   +5 more
openaire   +2 more sources

A Dual‐Responsive Versatile Nanohybrid Orchestrating Tumor Elimination and Tumor‐Associated Osteolysis Restoration via Sequential Release

Advanced Science, EarlyView.
The versatile CaO2@CuMOF@HAP nanohybrid demonstrates an outstanding MMP9/pH‐triggered release performance for sequential release of osteogenic growth peptide into deep‐seated tumor‐infiltrated bone destruction areas and dual ions into tumor cells, enabling efficient tumor‐associated osteolysis restoration and tumor elimination for more comprehensive ...
Lan Liu, Han‐Zhe Liu, Zhe‐Nan Liu, Tong Wang, Li‐Li Yu, Qiu‐Jing Li, Zi‐Yi Chen, Guo‐Feng Luo, Zheng‐Jun Shang   +8 more
wiley   +1 more source

Error-parameter analysis based blind identification and super-resolution restoration algorithm

Tongxin xuebao, 2009
A new implementation scheme of regularization super-resolution restoration algorithm was addressed, which could remove spatial integration performed by the sensors in down-sampling process and restrain edge artifact caused by zero-padding up-sampling ...
YAN Hua1, LIU Ju2, SUN Jian-de2, HUANG Qing-mimg3   +3 more
doaj   +2 more sources

Myeloid‐Derived Grancalcin Promotes Periodontal Inflammation and Pathological Bone Remodeling in Periodontitis

Advanced Science, EarlyView.
Grancalcin (GCA), a myeloid‐derived protein, is enriched in gingival tissues of periodontitis patients and mouse models. Through interactions with CD44 and activation of MYH9, GCA promotes NF‐κB signaling and exacerbates periodontal inflammation and bone loss.
Min Zhou, Yao Xiao, Ziyue Xu, Chengyu Yang, Jiang Li, Ya Liu, Ping Yin   +6 more
wiley   +1 more source

Global Prior-Guided Distortion Representation Learning Network for Remote Sensing Image Blind Super-Resolution

Remote Sensing
Most existing deep learning-based super-resolution (SR) methods for remote sensing images rely on predefined degradation assumptions (e.g., bicubic downsampling).
Guanwen Li, Ting Sun, Shijie Yu, Siyao Wu   +3 more
doaj   +1 more source

Humanized and Charge‐Optimized CSPG4‐Specific CAR‐T Cells show Enhanced Efficacy against Head and Neck Squamous Cell Carcinoma

Advanced Science, EarlyView.
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu, Shizhen Qiu, Zhitong Wang, Dan Li, Min Chen, Yinying Chu, Guangfei Li, Yi Fang, Changjiang Li, Fang Shi, Peijie He, Haitao Wu, Haopeng Wang, Jian Chen   +13 more
wiley   +1 more source

SMAD4 Palmitoylation Drives a Metabolic‐Transcriptional Circuit to Promote Tumorigenesis and Confers Radiosensitivity in Pancreatic Cancer

Advanced Science, EarlyView.
This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang, Shan Zhang, Junping Bai, Xiaobing Li, Yi Han, Min Ji, Chongyi Jiang, Xiaobei Ge, Tianyu Yu, Yongying Hou, Jun Zhang, Wangting Li, Yiran Song, Jiaying Cai, Yingqun Zhou, Liwei An, Feng Wang   +16 more
wiley   +1 more source