OoD-Control: Generalizing Control in Unseen Environments.

Generalizing out-of-distribution (OoD) is critical but challenging in real applications such as unmanned aerial vehicle (UAV) flight control. Previous machine learning-based control has shown promise in dealing with complex real-world environments but suffers huge performance degradation facing OoD scenarios, posing risks to the stability and safety of UAVs. In this paper, we found that the introduced random noises during training surprisingly yield theoretically guaranteed performances via a proposed functional optimization framework. More encouragingly, this framework does not involve common Lyapunov assumptions used in this field, making it more widely applicable. With this framework, the upperbound for control error is induced. We also proved that the induced random noises can lead to lower OoD control errors. Based on our theoretical analysis, we further propose OoD-Control to generalize control in unseen environments. Numerical experiments demonstrate the superiority of the proposed algorithm, surpassing previous state-of-the-art by 65% under challenging unseen environments. We further extend to outdoor real-world experiments and found that the control error is reduced by 50% approximately. Our code is available athttps://github.com/Ulricall/OoD-Control.

[miR-29a-3p Targets Hepatoma-Derived Growth Factor to Inhibit the Proliferation and Promote the Apoptosis of E6-1 Cells].

OBJECTIVE: To investigate the regulatory effect of miRNA-29a-3p (miR-29a-3p ) on hepatoma-derived growth factor (HDGF), and its influences on the proliferation and apoptosis of acute lymphoblastic leukemia (ALL) cell line E6-1. METHODS: Thirty-five patients with ALL treated in our hospital from January 2017 to January 2019 were selected as research objects, and 35 adults who underwent physical examination in the same period were selected as healthy control group. The miR-29a-3p overexpression vector, miR-29a-3p inhibitory expression vector, and miR-29a-3p and HDGF co-overexpression vector were transfected into E6-1 cells. The expression levels of miR-29a-3p and HDGF mRNA were detected by RT-qPCR. The expression of protein was detected by Western blot. The targeting relationship between miR-29a-3p and HDGF was detected by dual luciferase reporter assay. The cell proliferation was detected by CCK-8 method, while apoptosis detected by flow cytometry. RESULTS: Compared with healthy control group, HDGF was highly expressed in serum of patients with ALL and leukemia cells HuT 78, E6-1, CCRF-CEM, while miR-29a-3p was low expressed (P<0.05). After overexpression of miR-29a-3p , the expression levels of CyclinD1 and Bcl-2 in leukemia cells E6-1 were significantly reduced, while the expression levels of p21 and Bax were significantly increased (P<0.05). The activity of E6-1 cells was also significantly reduced, while the apoptosis rate of E6-1 cells was significantly increased (P<0.05). miR-29a-3p could target and regulate the expression of HDGF, while overexpression of HDGF reversed the inhibitory effect of miR-29a-3p overexpression on the proliferation and promotion effect on the apoptosis of leukemia cells E6-1. CONCLUSION: Overexpression of miR-29a-3p can inhibit the proliferation and promote the apoptosis of ALL cells E6-1, and its mechanism may be related to the regulation of HDGF expression.

Anti-fibrotic effect of extracellular vesicles derived from tea leaves in hepatic stellate cells and liver fibrosis mice.

Background: Activation of hepatic stellate cells (HSCs) is essential for the pathogenesis of liver fibrosis, there is no effective drug used to prevent or reverse the fibrotic process. Methods: With human hepatic stellate cell line LX-2 and mouse model of CCl4-induced liver fibrosis, we investigated the anti-fibrotic effect to liver fibrosis of extracellular vesicles (EVs) extracted from tea leaves through cytological tests such as cell proliferation, cell migration, and cell fibrotic marker. Results: It was found that tea-derived EVs (TEVs) inhibited HSCs activation. In CCl4-induced liver fibrosis model, TEVs treatment can significantly improve the pathological changes of liver tissue, inhibit collagen deposition, reduce the number of lipid droplets in liver tissue, and reduce serum AST and ALT levels. In addition, TEVs inhibited TGF-ß1 signaling and miR-44 in TEVs had the potential inhibitory effect on liver fibrosis. Conclusions: Taken together, our work suggesting that TEVs are novel therapeutic potential for liver fibrosis.

Low cost 3D microfluidic chips for multiplex protein detection based on photonic crystal beads.

Point-of-care testing (POCT) devices used in multiplex bioassays are in great demand for clinical, environmental and biomedical applications. Photonic crystal beads (PCBs), as structural color self-coding carriers, can be integrated with microfluidic chips to realize convenient and highly sensitive biomarker detection. Here we developed a three dimensional (3D) microfluidic chip based on PCBs, which is low cost and easy to manufacture for mass production and application. The chip was fabricated with polyethylene terephthalate, polymethyl methacrylate sheets, a Ni square mesh grid and transparent double-sided tape. In practice, the target molecules could be captured by PCBs immobilized with probes in a flow-through manner. It was found that the as-proposed chip needed less washing and its background was effectively reduced in comparison with a flow-over chip. Besides, the limit of detection (LOD) of anti-human alpha fetoprotein (AFP) was calculated to be 18.92 ng mL-1, which could meet the need of clinical detection of AFP. Furthermore, the chip demonstrated the feasibility of simultaneous detection of human immunoglobulin G, carcinoembryonic antigen and AFP, which suggests that it has a broad application prospect in multiplex bioassays.

Hyperspectral imaging analysis of a photonic crystal bead array for multiplex bioassays.

For multiplex bioassays, one effective strategy is to employ microfluidic chips based on an array of photonic crystal beads (PCBs) that are encoded by their characteristic reflection spectrum (CRS). In this paper, we report a hyperspectral imaging system and algorithms for the high throughput decoding of a PCB array and subsequent detection. The results showed that the decoding accuracy of up to ∼500 PCBs is 98.56% with an excellent ability to extract low-intensity fluorescence intensities. The results also demonstrated hyperspectral imaging techniques which can simultaneously obtain both spatial and spectral information as powerful tools in the analysis of multiplex bioassays or microfluidic chips.