Results 121 to 130 of about 3,020,093 (290)

Frequency-Aware Unsupervised Domain Adaptation for Semantic Segmentation of Laparoscopic Images

Applied Sciences
Semantic segmentation of laparoscopic images requires costly pixel-level annotations, which are often unavailable for real surgical data. This gives rise to an unsupervised domain adaptation scenario, where labeled synthetic images serve as the source ...
Huiwen Dong, Gaofeng Zhang
doaj   +1 more source

Polydopamine Nanoparticle‐Mediated Precise Near‐Infrared Optical Stimulation for Cognitive Enhancement

Advanced Science, EarlyView.
Polydopamine nanoparticles enable a precise, non‐genetic, and transcranial neuromodulation strategy via near‐infrared photothermal stimulation. By activating TRPV1 channels, this approach specifically enhances hippocampal gamma oscillations, thereby rescuing spatial memory deficits in models of perioperative neurocognitive disorder.
Yan‐Bo Zhou, Qiong Xue, Su‐Xuan Hou, Ke‐Yao Zhang, Wei‐Tong Pan, Ting‐Ting Zeng, Yu‐Ge Wang, Daqing Ma, Chenguang Zhao, Pan‐Miao Liu, Jian‐Jun Yang   +10 more
wiley   +1 more source

Supervised Domain Adaptation for Remaining Useful Life Prediction Based on AdaBoost With Long Short-Term Memory

IEEE Access
With the advent of high-quality deep learning algorithms, several methods have been proposed for addressing domain adaptation (DA) problems in remaining useful life prediction.
Seunghwan Seo, Jungwoo Hwang, Moonkyung Chung   +2 more
doaj   +1 more source

QRICH1 Disrupts Endoplasmic Reticulum Homeostasis and Amplifies NF‐κB Signaling in Periodontal Ligament Stem Cells to Exacerbate Diabetic Periodontitis

Advanced Science, EarlyView.
QRICH1 has been established as a key factor contributing to impaired osteogenic potential and accelerated apoptosis of PDLSCs in diabetic periodontitis. QRICH1 not only significantly enhances UPR‐associated apoptotic signaling but also amplifies NF‐κB‐mediated inflammatory responses. Its inhibition restores osteogenic capacity and reduces alveolar bone
Han Li, Xiaoyu Yang, He Wang, Yunchun Kuang, Yiyao Hu, Houxuan Li, Shuhong Li, Deping Zeng, Jie Li, Jinlin Song   +9 more
wiley   +1 more source

Informative feature disentanglement for unsupervised domain adaptation

, 2022
Unsupervised Domain Adaptation (UDA) aims at learning a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain with a related but different distribution. The strategy of aligning the two domains in latent feature
Pietikäinen, M. (Matti), Hu, D. (Dewen), Zhao, L. (Lingjun), Guo, D. (Deke), Liu, L. (Li), Liao, Q. (Qing), Kuang, G. (Gangyao), Deng, W. (Wanxia)   +7 more
core  

SPSB1 Promotes Subcutaneous Adipose Hyperplasia in Facial Port‐Wine Stains by Controlling HDAC1 Degradation and Stability Through Two Distinct Proteolytic Pathways

Advanced Science, EarlyView.
In PWS‐ASPCs, FOSL1 drives the expression of SPSB1. SPSB1, as part of the ESC complex, further binds to HDAC1 and promotes K29‐linked and K48‐linked polyubiquitination of HDAC1. These modifications facilitate the degradation of HDAC1 through the ALP and UPS pathways, respectively.
Hongrui Chen, Bin Sun, Yajing Qiu, Chen Hua, Xiaoxi Lin, Wei Gao   +5 more
wiley   +1 more source

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels

, 2022
Unsupervised domain adaptation (UDA) for semantic segmentation addresses the cross-domain problem with fine source domain labels. However, the acquisition of semantic labels has always been a difficult step, many scenarios only have weak labels (e.g ...
Zhu, Chuang, Tang, Wenqi, Liu, Shengjie
core  

Programmable Encapsulation Enables On‐Demand Proliferation of Therapeutic Bacteria for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
A programmable encapsulation technology is developed to reduce bacterial immunogenicity and proliferation after systemic administration. The cross‐linked polymer networks around individual bacteria enable immunogenic shielding and permit selective proliferation in tumors, allowing the bacteria to convert tumor‐accumulated ammonia into L‐arginine and ...
Jianhui Yang, Ao Peng, Shuaiqiang Li, Yaning Huang, Jian Yan, Leyuan Wang, Zhihui Zhu, Fei‐Long Liu, Erbao Bian, Yang Liu, Dasheng Tian, Fenghe Li, Qi Liu   +12 more
wiley   +1 more source

Domain Adaptation in the Context of Sport Video Action Recognition [PDF]

, 2011
We apply domain adaptation to the problem of recognizing common actions between differing court-game sport videos (in particular tennis and badminton games).
de Campos, Teofilo, Faraji Davar, N, Christmas, William, Windridge, David, Kittler, Josef   +4 more
core  

Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation

, 2018
Unsupervised domain adaptation has been proved to be a promising approach to solve the problem of dataset bias. To employ source labels in the target domain, it is required to align the joint distributions of source and target data.
Yuen, Pong, Ma, Andy, Yang, Baoyao
core   +1 more source