DNA damage and necroptosis induced by peroxidase from proso millet in human colorectal cancer cells

Purpose: To investigate the effects of cationic peroxidase from proso millet (PmPOD) on DNA damage and necroptosis in human colon cancer HCT116 and HT29 cells. Methods: Cell necroptosis and cell cycle was stained using Annexin V-FITC and cell cycle kits, respectively, and evaluated by flow cytometry. Lipid raft on the membrane was disrupted by cholesterol depletion and the location of PmPOD observed by confocal microscopy. Comet assays were used to detect DNA damage, and different inhibitors were also used. Knockdown of p53 or ectopic p53 expression in HCT116 cells were transfected p53 siRNA and pCMV3-TP53-myc plasmid, and p53 expression analyzed by western blotting. Results: Pre-treatment of HCT116 and HT29 cell lines with the specific necroptosis inhibitor Nec-1 prevented PmPOD-induced necroptosis, whereas the apoptosis inhibitor, z-VAD-fmk, had no effect. The entry of PmPOD is necessary for induction of DNA damage and necroptosis. Furthermore, PmPOD induced cell cycle arrest at S phase, as well as DNA DSBs in vivo, as reflected by numerous γ-H2AX foci in CRC cells. However, the tumor suppressor protein, p53, alleviated PmPOD-induced DNA damage and necroptosis. Conclusions: These results demonstrate that PmPOD-induced DNA DSBs in CRC cells is the main cause of necroptosis, and that the tumor suppressor protein, p53, alleviates PmPOD-induced necroptosis by promoting p53-mediated repair pathways

Integrated geosteering workflow for optimal well trajectory

The enormous upfront expense of developing heterogeneous reservoirs and the desire to increase ultimate recovery has spurred oil companies to develop and use innovative reservoir characterization techniques. Geostatistics is a technique using a branch of statistics focusing on spatial datasets and was developed originally to predict probability distributions of ore grades for mining operations. Geostatistically derived reservoir modeling is perhaps the most successful means of improving performance predictions in heterogeneous reservoirs. A reliable geostatistical model can be used to guide the drilling path at field scale and make a more scientific field development plan. The objective of this study is to optimize production performance by combined geostatistical algorithms, Logging While Drilling techniques and reservoir simulation methods. Formation petrol-physics models are built with Kriging and Sequential Gaussian simulation methods and then updated with real time Logging While Drilling data to guide the drilling process and finally compare the model difference with production indices. The data used in this study is from E-Segment Norne Field located in the Norwegian Sea. 2-D and 3-D porosity & permeability geostatistical models and a simple reservoir simulation model are built to describe the formation porosity and permeability regional distribution. A new well trajectory is designed based on updated models. The results demonstrate that new well trajectories significantly improve the production performance with the updated models, which reflects the importance of geostatistics in treatment of reservoir heterogeneity

An enhanced fall detection system for elderly person monitoring using consumer home networks

Various fall-detection solutions have been previously proposed to create a reliable surveillance system for elderly people with high requirements on accuracy, sensitivity and specificity. In this paper, an enhanced fall detection system is proposed for elderly person monitoring that is based on smart sensors worn on the body and operating through consumer home networks. With treble thresholds, accidental falls can be detected in the home healthcare environment. By utilizing information gathered from an accelerometer, cardiotachometer and smart sensors, the impacts of falls can be logged and distinguished from normal daily activities. The proposed system has been deployed in a prototype system as detailed in this paper. From a test group of 30 healthy participants, it was found that the proposed fall detection system can achieve a high detection accuracy of 97.5%, while the sensitivity and specificity are 96.8% and 98.1% respectively. Therefore, this system can reliably be developed and deployed into a consumer product for use as an elderly person monitoring device with high accuracy and a low false positive rate

CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model

With the development of deep generative models, recent years have seen great success of Chinese landscape painting generation. However, few works focus on controllable Chinese landscape painting generation due to the lack of data and limited modeling capabilities. In this work, we propose a controllable Chinese landscape painting generation method named CCLAP, which can generate painting with specific content and style based on Latent Diffusion Model. Specifically, it consists of two cascaded modules, i.e., content generator and style aggregator. The content generator module guarantees the content of generated paintings specific to the input text. While the style aggregator module is to generate paintings of a style corresponding to a reference image. Moreover, a new dataset of Chinese landscape paintings named CLAP is collected for comprehensive evaluation. Both the qualitative and quantitative results demonstrate that our method achieves state-of-the-art performance, especially in artfully-composed and artistic conception. Codes are available at https://github.com/Robin-WZQ/CCLAP.Comment: 8 pages,13 figure

Study on dehumidification performance of a multi-stage internal cooling solid desiccant adsorption packed bed

In this paper, the solid desiccant adsorption packed bed with a three-stage internal cooling (ICSPB) has been proposed to improve the dehumidification efficiency and make a comparison with that of non-internal cooling. To investigate the performance of the ICSPB, the dehumidification capacity, dehumidification efficiency, water content of solid desiccant, moisture ratio of solid desiccant, temperature of solid desiccant and inlet and outlet air temperature difference were discussed in different conditions of inlet air and supplying water temperature. It was found that the dehumidification performance of the bed with internal cooling could be improved greatly in the low temperature and low humidity conditions, while in the high temperature and humid, the improvement was not obvious. With internal cooling, the dehumidification efficiency and the water content of the solid desiccant could be improved 59.69% and 110.7%, respectively, and the temperature of solid desiccant could be reduced 2.2◦C when the ICSPB operated at the inlet air temperature of 20◦C, inlet humidity of 55%, and water temperature of 14◦C. Moreover, the dehumidification performance at each stage of ICSPB was studied. It was found that, the first stage played the most important role in the dehumidification process. In addition, the calculation models that can be used to predict the moisture ratio and the temperature of solid desiccant were established on the test results

Evaluation of microstructure variation of TC11 alloy after electroshocking treatment

Electro-shocking treatment (EST) has been investigated as a pathway to optimise the microstructure and mechanical properties of titanium alloys. The thermal conditions introduced by EST resulted in a phase transformation from α to β. The fraction of β phase decreased from 25.27% to 19.47% after EST for 0.02 s, which was possibly caused by the recrystallization of α phase. The application of EST for 0.04 s resulted in an increase in volume fraction of the β phase to 26.95%. The energy introduced by EST resulted in changes to the direction and intensity of texture within the microstructure with the texture intensity of the α phase increasing from 4.94 to 8.52, and that of β both increased from 3.35 to 9.88 after 0.04 s EST. © 2020 The Authors