Preclinical study of pachyman inducing ferroptosis against ovarian cancer: Biological targets and underlying mechanisms.

Ferroptosis has gained extreme purpose in targeting cancer treatment. , a traditional Chinese herb, has potential anticancer properties, but the action and mechanism against ovarian cancer remain undetailed. Pachyman ( polysaccharides) refers to the pharmacologically bioactive ingredients rich in .

Ferroptosis-related biotargets and network mechanisms of fucoidan against colorectal cancer: An integrated bioinformatic and experimental approach.

Ferroptosis, a type of iron-dependent cell death, has been linked with the occurrence and progression of malignant tumors, including colorectal cancer (CRC). Fucoidan, an algal fucose-rich molecule, has been discovered preclinically to have an anti-CRC signature. Although some underlying mechanisms are reported, many signaling pathways associated with ferroptosis in fucoidan treatment of CRC are still unidentified.

Star Centroiding Based on Fast Gaussian Fitting for Star Sensors.

The most accurate star centroiding method for star sensors is the Gaussian fitting (GF) algorithm, because the intensity distribution of a star spot conforms to the Gaussian function, but the computational complexity of GF is too high for real-time applications. In this paper, we develop the fast Gaussian fitting method (FGF), which approximates the solution of the GF in a closed-form, thus significantly speeding up the GF algorithm. Based on the fast Gaussian fitting method, a novel star centroiding algorithm is proposed, which sequentially performs the FGF twice to calculate the star centroid: the first FGF step roughly calculates the Gaussian parameters of a star spot and the noise intensity of each pixel; subsequently the second FGF accurately calculates the star centroid utilizing the noise intensity provided in the first step.

[Robustness analysis of adaptive neural network model based on spike timing-dependent plasticity].

To explore the self-organization robustness of the biological neural network, and thus to provide new ideas and methods for the electromagnetic bionic protection, we studied both the information transmission mechanism of neural network and spike timing-dependent plasticity (STDP) mechanism, and then investigated the relationship between synaptic plastic and adaptive characteristic of biology. Then a feedforward neural network with the Izhikevich model and the STDP mechanism was constructed, and the adaptive robust capacity of the network was analyzed. Simulation results showed that the neural network based on STDP mechanism had good rubustness capacity, and this characteristics is closely related to the STDP mechanisms.

[Construction of human TAP1 expression vector and the effects of it on HLA-I expression in GES-1 cells in vitro].

Aim: To construct the human TAP1 expression vector and to evaluate its effects on HLA-I expression in GES-1 cells in vitro.

Methods: The human TAP1 expression vector (pcDNA3.1/V5-His-TAP1) was constructed by gene recombination technology.

[The research on the law of greenhouse gases emission from warm temperate forest soils in Beijing region].

In situ measurements by closed chamber technique were done to investigate the law of greenhouse gases (Methane, carbon dioxide and Nitrous Oxide) fluxes emission from different warm temperate forest soils (Broad-leaved forest, Form. Quercus liaotungensis and Form. Pinus tabulae) of Dongling mountain in Beijing region.