Publications by authors named "Z Hai"

The decline of oocyte quality with advanced maternal age has a detrimental effect on female fertility. However, there is limited knowledge of therapeutic options and their mechanisms to improve oocyte quality in reproductively older women. In this study, we demonstrated that supplementation of salidroside improves the oocyte quality of reproductively old mice.

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In industrial measurement, temperature field measurement typically relies on thermocouples and spectroscopic techniques. These traditional methods often suffer from insufficient precision, resulting in prevalent low-resolution measurements in real thermal scenarios. To address this challenge, we propose a novel general super-resolution approach for temperature field measurement in various thermal scenarios, leveraging the low-resolution (LR) data obtained from sensor array technology.

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The ferroptosis of osteoblasts has been demonstrated to play a significant role in the development of steroid-induced osteonecrosis of the femoral head (SONFH). Additionally, microRNAs (miRNAs) have been identified as regulators of SONFH progression. However, the precise role of miRNAs in the regulation of osteoblast ferroptosis remains unclear.

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Article Synopsis
  • Chemotherapy is a common yet problematic cancer treatment due to issues like poor drug solubility, stability, and drug resistance that lead to limited effectiveness and severe side effects.
  • Researchers are exploring innovative combinations of therapies, focusing on targeted therapy, prodrug design, and drug delivery to create improved treatments, such as a self-assembled camptothecin (CPT) prodrug known as CPT-SS-FFEYp-Biotin.
  • This prodrug enhances the therapeutic effects on tumor cells while minimizing harm to normal cells, demonstrating greater efficacy and safety, and suggesting potential for developing more prodrugs for effective cancer treatments in the future.
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Retinal image quality assessment (RIQA) is crucial for diagnosing various eye diseases and ensuring the accuracy of diagnostic analyses based on retinal fundus images. Traditional deep convolutional neural networks (CNNs) for RIQA face challenges such as over-reliance on RGB image brightness and difficulty in differentiating closely ranked image quality categories. To address these issues, we introduced the Dual-Path Frequency-domain Cross-attention Network (DFC-Net), which integrates RGB images and contrast-enhanced images using contrast-limited adaptive histogram equalization (CLAHE) as dual inputs.

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