互联网自治的改造实现

本文的自治互联网技术结合互联网现实,通过现有域名体系构造出自主自治的可扩展域名体系和层次结构,并提供自治网络系统内/间的域名解释机制,甚至可以单边行动的方式实现互联网自治的过渡和改造。     

Influence of different thawing methods on physicochemical changes and protein oxidation of porcine longissimus muscle

The objective of the present study was to elucidate the physicochemical changes and protein oxidation of porcine longissimus muscle as influenced by different thawing methods. Five kinds of thawing methods, comprising of refrigerator thawing (RT, 4 °C), ambient temperature thawing (AT, 20 °C), water immersion thawing (WT, 14 °C), lotic water thawing (LT, 9 °C), and microwave thawing (MT), were used. There were significant effects on the porcine meat quality due to different thawing methods. RT had the least quality loss and the physicochemical characteristics of pork were closer to fresh muscle than the other thawing methods. MT significantly increased thawing loss, cooking loss, cutting force, carbonyl content, and TBARS (thiobarbituric acid-reactive substances) value, but decreased a* value and Ca-, K-ATPase activities (P < 0.05). Microstructural changes in experimental muscle showed that MT induced visibly larger gap between muscle fibers and tore more muscle fiber bundles compared to the other thawing methods. The reduction of Ca- and K-ATPase activities (P < 0.05) of myofibrillar protein was consistent with the increases in carbonyl content and TBARS value (P < 0.05). The results demonstrated all the thawing methods could cause porcine lipid and protein oxidation. Gel electrophoresis patterns of porcine muscle displayed that different thawing methods did not induce obvious protein aggregates and fragments.     

Deep learning techniques for tumor segmentation: a review

Recently, deep learning, especially convolutional neural networks, has achieved the remarkable results in natural image classification and segmentation. At the same time, in the field of medical image segmentation, researchers use deep learning techniques for tasks such as tumor segmentation, cell segmentation, and organ segmentation. Automatic tumor segmentation plays an important role in radiotherapy and clinical practice and is the basis for the implementation of follow-up treatment programs. This paper reviews the tumor segmentation methods based on deep learning in recent years. We first introduce the common medical image types and the evaluation criteria of segmentation results in tumor segmentation. Then, we review the tumor segmentation methods based on deep learning from technique view and tumor view, respectively. The technique view reviews the researches from the architecture of the deep learning and the tumor view reviews from the type of tumors.

     

Fluorescent Polyimide Films Produced with Diatomite and Mesoporous Silica as Promising High-Tech Material

Journal of Inorganic and Organometallic Polymers and Materials - Due to their excellent properties, polymides (PIs) result promising as high-performance materials in different technological fields....     

ESP超薄带钢无头轧制设备及工艺流程分析

介绍某ESP1600 mm超薄带钢无头轧制生产线的设备组成和工艺流程,以及主要设备的组成和功能。ESP无头轧制生产线可以大批量生产高质量的超薄规格带钢,代表着现代薄板生产技术的发展方向,具有重要的研究开发价值和广阔的市场应用前景。     

Correlation and path coefficient analysis between thermal extraction yield and coal properties

Thermal extraction yields were obtained for 13 coals in supercritical ethanol at 250°C. The direct and indirect relationships between extraction yield and coal properties were determined using correlation and path analyses. Both nitrogen content and hydrogen content have significant and positive correlations with thermal extraction yield. However, moisture content, sulfur content, and oxygen content exhibited negative correlations with extraction yield. Path analysis demonstrated that nitrogen and carbon contents had significant direct and indirect influences on extraction yield, respectively. Nitrogen content is the preferential factor for a high extraction yield, followed by carbon and hydrogen contents.     

Synthesis of a Kind of Temperature-responsive Cell Culture Surface for Corneal Sheet

In this study,acrylic acid(AA) and 4-azidoaniline were used to modify poly(N-isopropylacrylamide)(NIPAAm) in order to fabricate temperature-responsive surface for corneal epithelia cell adhesion and detachment.First,NIPAAm was copolymerized with acrylic acid.Then,the copolymer was coupled with azidoaniline to synthesize AzPhPIA,derivative of p(NIPAAm-co-AA),which possesses both thermo-and photo-sensitivities.Second,the synthesized copolymer was characterized by high performance liquid chromatography(HPLC),F...     

Regeneration dynamics of potassium-based sediment sorbents for CO2 capture

Simulating regeneration tests of Potassium-Based sorbents that supported by Suzhou River Channel Sediment were carried out in order to obtain parameters of regeneration reaction. Potassium-based sediment sorbents have a better morphology with the surface area of 156.73 m²·g^?1, the pore volume of 357.5×10^?3 cm³·g^?1 and the distribution of pore diameters about 2–20 nm. As a comparison, those of hexagonal potassium-based sorbents are only 2.83 m²g^?1, 7.45×10^?3 cm³g^?1 and 1.72–5.4 nm, respectively. TGA analysis shows that the optimum final temperature of regeneration is 200 and the optimum loading is about 40%, with the best heating rate of 10 °C·min^?1. By the modified Coats-Redfern integral method, the activation energy of 40% KHCO₃ sorbents is 102.43 kJ·mol^?1. The results obtained can be used as basic data for designing and operating CO₂ capture process.