Endogenous peptide CBDP1 inhibits clear cell renal cell carcinoma progression by targeting USP5/YTHDF2/TRPM5 axis.

Background: Clear cell renal cell carcinoma (ccRCC) has a high incidence rate and poor prognosis, and currently lacks effective therapies. Recently, peptide-based drugs have shown promise in cancer treatment. In this research, a new endogenous peptide called CBDP1 was discovered in ccRCC and its potential anti-cancer properties were examined.

[Advances in the pathology of soft tissue in China over the past ten years: retrospect and prospect].

During the past decate, Chinese pathologists have made remarkable achievements in the area of soft tissue tumors. They have not only done in-depth researches in selected entities like liposarcoma and round cell sarcomas, but have also issued expert consenses and guideline, as well as published professional books and translation books, with purpose to comprehensively improve the level of diagnosis nationwide.

Elevated glycocalyx shedding components as the early predictors of unfavorable outcomes in patients after cardiac arrest: A single-center observational study.

Objective: To assess the association of serum glycocalyx shedding components (Heparan sulfate, HS; Hyaluronic acid, HA; Syndecan-1, Sdc-1) with outcomes after CA.

Methods: Patients who were comatose for >24 h after CA in the intensive care unit (ICU) of the Affiliated Hospital of Xuzhou Medical University from 9/2021 to 04/2023 were enrolled. Serum samples were collected 24 h after CA to measure the concentrations of glycocalyx shedding components.

Frustrated Lewis Pair Meets Polyhedral Oligomeric Silsesquioxane: Water-Tolerant Hybrid Porous Networks for Robust, Efficient, and Recyclable CO Catalysis.

Frustrated Lewis pair chemistry (FLP) occupy a crucial position in nonmetal-mediated catalysis, especially toward activation of inert gas molecules. Yet, one formidable issue of homogeneous FLP catalysts is their instability on preservation and recycling. Here we contribute a general solution that marries the polyhedral oligomeric silsesquioxane (POSS) with a structurally specific frustrated Lewis acid to fabricate porous polymer networks, which can form water-insensitive heterogeneous FLP catalysts upon employing Lewis base substrates.

Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models.

Compute-in-memory based on resistive random-access memory has emerged as a promising technology for accelerating neural networks on edge devices. It can reduce frequent data transfers and improve energy efficiency. However, the nonvolatile nature of resistive memory raises concerns that stored weights can be easily extracted during computation.