Results 101 to 110 of about 161,455 (261)
DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection
IEEE AccessIn semi-supervised object detection (SSOD), the methods based on dense pseudo-labeling bypass complex post-processing while maintaining competitive performance compared to the methods based on sparse pseudo-labeling.
Yunlong Qin +5 more
doaj +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines
FEBS Open Bio, EarlyView.Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart +7 more
wiley +1 more source
Weak Labeling for Cropland Mapping in Africa
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumCropland mapping can play a vital role in addressing environmental, agricultural, and food security challenges. However, in the context of Africa, practical applications are often hindered by the limited availability of high-resolution cropland maps. Such maps typically require extensive human labeling, thereby creating a scalability bottleneck.
Gilles Quentin Hacheme +6 more
openaire +2 more sources
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
FEBS Open Bio, EarlyView.The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth +6 more
wiley +1 more source
Genetic algorithms for map labeling.
, 2001 Map labeling is the cartographic problem of placing the names of features (for example cities or rivers) on the map. A good labeling has no intersections between labels. Even basic versions of the problem are NP-hard. In addition, realistic map-labeling problems deal with many cartographic constraints, which pose more demands on how the labels should ...
openaire +2 more sources
FEBS Open Bio, EarlyView.We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa +2 more
wiley +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Automatic Correction of Labeling Errors Applied to Tomato Detection
AgricultureAccurate labeling is critical for training reliable deep learning models in agricultural applications. However, manual labeling is often error-prone, especially when performed by non-experts, and such errors (modeled as noise) can significantly degrade ...
Ángel Eduardo Zamora Suárez +5 more
doaj +1 more source