Low-Quality Sensor Data-Based Semi-Supervised Learning for Medical Image Segmentation.

Traditional medical image sensors face multiple challenges. First, these sensors typically rely on large amounts of labeled data, which are time-consuming and costly to obtain. Second, when the data volume and image size are large, traditional sensors have limited computational power, making it difficult to effectively train and infer models.

DTV-CNN: Neural network based on depth and thickness views for efficient 3D shape classification.

Fast and effective algorithms for deep learning on 3D shapes are keys to innovate mechanical and electronic engineering design workflow. In this paper, an efficient 3D shape to 2D images projection algorithm and a shallow 2.5D convolutional neural network architecture is proposed.

A Multi-Objectives Genetic Algorithm Based Predictive Model and Strategy Optimization during SLM Process.

Selective laser melting (SLM) process was optimized in this work using multi-objectives genetic algorithm. Process parameters involved in the printing process have an obvious impact on the quality of the printed parts. As the relationship between process parameters and the quality of different parts are complex, it is quite essential to study the effect of process parameter combination.

Real-Time and High-Fidelity Tracking of Lysosomal Dynamics with a Dicyanoisophorone-Based Fluorescent Probe.

The development of high-performance probes that can visualize and track the dynamic changes of lysosomes is very important for the in-depth study of lysosomes. Herein, we report that a dicyanoisophorone-based probe (named ) can be used for high-fidelity imaging of lysosomes and lysosomal dynamics. can be easily prepared and shows strong far-red to near-infrared emissions centered at 653 nm in water with a huge Stokes shift (224 nm), high quantum yield (Φ = 0.

Real-time tracking lysosomal pH changes under heatstroke and redox stress with a novel near-infrared emissive probe.

Lysosomes are important subcellular organelles with acidic pH. The change of lysosomal pH can affect the normal function and activity of cells. To conveniently detect and visualize lysosomal pH changes, we designed herein a novel fluorescent probe NIR-Rh-LysopH.

NIR fluorescent probe based on a modified rhodol-dye with good water solubility and large Stokes shift for monitoring CO in living systems.

Because of the biological importance of CO, the development of effective probes for the detection of CO in living systems is of great significance. In particular, near-infrared (NIR) fluorescence probes with good water solubility and large Stokes shift are indispensable tools for CO detection in vivo. However, such tools are extremely scarce.

DNA cleavage mediated by copper superoxide dismutase via two pathways.

The known action of Cu, Zn superoxide dismutase (Cu(2)Zn(2)SOD) that converts O(2)(-) to O(2) and H(2)O(2) plays a crucial role in protecting cells from toxicity of oxidative stress. However, the overproduction of Cu(2)Zn(2)SOD does not result in increased protection but rather creates a variety of unfavorable effects, suggesting that too much Cu(2)Zn(2)SOD may be injurious to the cells. The present study examined the DNA cleavage activity mediated by a Cu(n)SOD that contains 1-4 copper ions, in order to obtain an insight into the aberrant copper-mediated oxidative chemistry in the enzyme.