Results 51 to 60 of about 9,841 (297)
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Discussion on the Determination Methods for Crack Width Collection Capacity of Highway Pavement [PDF]
This paper summarizes the main detection technologies for highway pavement cracks and the judgment methods for crack width, and introduces the existing evaluation standards and metrological verification systems.
Wang Meixia +4 more
doaj +1 more source
Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection
Regular inspection of pavement conditions is important to guarantee the safety of transportation. However, current approaches are time-consuming and subjective, which requires the technician to annotate each training image exactly pixel by pixel. To ease
Gang Li +4 more
doaj +1 more source
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods
Robust automatic pavement crack detection is critical to automated road condition evaluation. However, research on crack detection is still limited and pixel-level automatic crack detection remains a challenging problem, due to heterogeneous pixel ...
Dihao Ai +3 more
doaj +1 more source
Iteratively Optimized Patch Label Inference Network for Automatic Pavement Disease Detection
We present a novel deep learning framework named the Iteratively Optimized Patch Label Inference Network (IOPLIN) for automatically detecting various pavement diseases that are not solely limited to specific ones, such as cracks and potholes.
Huang, Sheng +4 more
core
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
Pavement distress seriously affects the quality of pavement and reduces driving comfort and safety. The dropped objects from vehicles have increased the risks of traffic accidents.
Lin Xu +4 more
doaj +1 more source
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source

