Breast cancer (BRCA) is a leading cause of death in women worldwide, accounting for 31% of female cancer. Autophagy plays a crucial role in cancer progression, however, the function of autophagy-related gene neuroregulatory protein 2 (NRG2) in BRCA and its underlying molecular mechanisms remain unclear. In the present study, the expression of the NRG2 gene in BRCA was significantly down-regulated compared with the normal controls. The low expression level of NRG2 was related to poor survival rate of BRCA. The receiver operating characteristic curve of NRG2 showed a good diagnostic value for distinguishing BRCA from normal tissues (AUC=0.932). GO-KEGG analysis and GSEA enrichment analysis showed that NRG2 and its regulated genes were enriched in autophagy-related and immune-related pathways, and NRG2 was positively correlated with a number of immune cells and immune checkpoint genes. In addition, knockdown of NRG2 significantly promoted the proliferation, invasion and migration of BRCA cells. The autophagy marker, LC3-II and epithelial-mesenchymal transition (EMT) marker, vimentin were increased, while P62 and E-cadherin were decreased in response to NRG2 depletion. The findings of the present study demonstrated that NRG2 acts as a tumor suppressor factor that contributes to the immune escape and anti-tumor immunity inhibition by regulating the pathological process of autophagy and EMT, suggesting that NRG2 could be used as a prognostic biomarker and clinical target for BRCA therapy.
Infrared video target detection is a fundamental technology within infrared warning and tracking systems. In long-distance infrared remote sensing images, targets often manifest as circular spots or even single points. Due to the weak and similar characteristics of the target to the background noise, the intelligent detection of these targets is extremely complex. Existing deep learning-based methods are affected by the downsampling of image features by convolutional neural networks, causing the features of small targets to almost disappear. So, we propose a new infrared video weak-target detection network based on central point regression. We focus on suppressing the image background by fusing the different features between consecutive frames with the original image features to eliminate the background's influence. We also employ high-resolution feature preservation and incorporate a spatial-temporal attention module into the network to capture as many target features as possible and improve detection accuracy. Our method achieves superior results on the infrared image weak aircraft target detection dataset proposed by the National University of Defense Technology, as well as on the simulated dataset generated based on real-world observation. This demonstrates the efficiency of our approach for detecting weak point targets in infrared continuous images.
Green and low-carbon materialization for dredged sediment (DS) is limited due to its low pozzolanic activity. In this study, a novel DS-based non-sintered lightweight aggregate (LWA) is developed by steel slag (SS) and fly ash (FA) activation. Process optimization is performed by the response surfaces, and the basic properties and characterization of the optimal product are investigated. Results indicated that the optimized design ceramic aggregate (ODCA) was prepared as follows: raw pellets comprising of 59.2% DS, 5% SS, 35.8% FA, 5% MK, 5% H2O2, and 2 foam stabilizer were activated by alkali activator (1.5 weight ratio of 14 M NaOH to water glass) and then cured at 80 °C and 95% humidity for 24 h. The basic and environmental performances of ODCA were in accordance with standards, whose bulk density was as low as 665.8 kg/m3, the high cylinder compressive strength was 6.143 MPa, and leaching concentrations of heavy metals were controllable. The regulation mechanism of LWA performances could be summarized as follows. SS and FA additives played the role for the mechanical strength enhancement and passivation of heavy metals, which promoted the formation of sillimanite, chabazite, and C-S-H / C-S-A-H gels in ODCA. The bulk density of ODCA was greatly reduced by H2O2 addition, where ODCA had an open-pore structure with a median pore size of 4969.75 nm. Note that C-S-H/C-S-A-H were the key hydration products to give ODCA light density and high mechanical strength, simultaneously.
Coal Ash , Complex Mixtures , Metals, Heavy , Coal Ash/chemistry , Industrial Waste/analysis , Steel , Hydrogen Peroxide , Metals, Heavy/chemistry
Anthraquinone electrode materials are promising candidates for lithium-ion batteries (LIBs) due to the abundance of anthraquinone and the high theoretical capacity, and good reversibility of the anthraquinone electrodes. However, the active anthraquinone materials are soluble in organic electrolytes, resulting in a sharp decay of capacity during the charge and discharge processes. Herein, we report on a two-dimensional calcium anthraquinone 2,3-dicarboxy metal-organic framework (2D CaAQDC MOF) fabricated using a simple hydrothermal method. The 2D CaAQDC MOF not only effectively inhibits the dissolution of active electrode substances into the electrolyte, but also promotes the diffusion of lithium ion into the pores of the MOF. When used as a cathode for the LIBs, the resulting CaAQDC electrode delivers a high specific capacity of ~100â mAh g-1 at a current density of 50â mA g-1 after 200 cycles, demonstrating its good cycle stability. Even at a high current density of 200â mA g-1 , the CaAQDC electrode exhibits a specific capacity of ~60â mAh g-1 . The fabricated 2D coordination polymers effectively restrains the dissolution of anthraquinone into the organic electrolyte and enhances the structural stability, which greatly improves the electrochemical performance of anthraquinone. These research results offer a rational molecular design strategy to address the dissolution of this and other active organic electrode materials.
Hotly used in student-centered medical education worldwide, case based learning (CBL) is worthen with WeChat, the most popular communication app and is widely used in all walks of life. We have practiced several years combining WeChat and CBL in the clinical training of oral medicine for young doctors, promoting outcomes over traditional bedside training. This article's objective is demonstrating the acceptability and merits of WeChat CBL in the clinical training of oral medicine for young doctor. A total of eighty young doctors and 2 tutors participated in this study for interns of a every 2-month training during January 2018 to 2020. The control group used clinical bedside mode; the experimental group used bedside plus WeChat CBL mode. The evaluations included participation passion, daily routine and final test. Ten clerkships and thirty residents were in same number respectively of experiment and control groups. The participants in the experimental group produced a higher degree of participation in discussions. The twice and above Q&A action percentage is 40% in experimental group rather than 25% in control group. Daily assessment and final examination scores in the experimental group were significantly higher than those in the control group (P < .001). WeChat CBL mode has a positive effect on students' learning enthusiasm, assessments and evaluations in clinical training of oral medicine.
Mobile Applications , Oral Medicine , Humans , Problem-Based Learning , Educational Measurement , Students
Plant-parasitic nematodes (PPNs) are one of the most destructive plant pathogens worldwide, and controlling them is extremely challenging. Volatile organic compounds (VOCs), which naturally exist in plants and microorganisms, play an important role in the biological control of PPNs and are considered potential substances for the development of commercial nematicides. This paper summarizes the VOCs produced by microorganisms and plants as well as their toxic effects on PPNs. VOCs from 26 microbial strains and 51 plants that are active against nematodes from over the last decade were reviewed. Furthermore, the mechanisms of toxicity of some VOCs against PPNs are also illustrated.
@#The endocrown, a modified overlay or crown, is considered to have the advantages of adhesive retention and mechanical retention. Marginal adaptation and mechanical strength are common criteria for evaluating endocrowns. This review studied these aspects of endocrowns to guide further clinical application. Results from previous academic studies indicate that endocrowns made of different materials, such as glass-based ceramics, zirconia-based ceramics and resin-based ceramics, exhibit clinically acceptable marginal adaptation. Zirconia is a common dental material, but when used in endocrowns, it tends to present a risk of irreparable tooth root fractures. Compared with products manufactured with zirconia, endocrowns manufactured with resin-based ceramics and glass-based ceramics, such as lithium disilicate ceramics, do not tend to cause irreparable results, such as tooth root fracture, but their mechanical strengths are not as good as those of zirconia. At the same time, the tooth prepration design such as the types of endocrowns, the pulp chamber extension depth and angles, the endocrown thickness can influence the mechanical strength of endocrowns as well. Compared with traditional zirconia, self-glazed zirconia, a new type of material used to restore defective teeth, has the similar elasticity modulus（210 GPa）and better aesthetic advantages, and is suitable for short crown patients with insufficient occlusal space. Further study is warranted to improve the performance of endocrowns made from ceramic materials to prevent root fracture.
