统计-模糊分析法预测16Mn钢中厚板的力学性能

根据2450二辊轧机-2450四辊轧机轧制16Mn中厚板的开轧和终轧温度、二辊轧机和四辊轧机的压下量等主要工艺参数的测定值和钢板力学性能的测定值，利用统计回归分析所得的相关数学模型结合模糊聚类分析-模糊识别分析数学模型，建立了预测中厚板屈服强度σa和抗拉强度σb的相关数学模型，结果表明，16Mn钢中厚板材的屈服强度预测值和实测值的相对误差为2．9％～7．2％，抗拉强度σb的相对误差为0．1％～6．9％。     

硬铝合金焊接性能的研究

为了有效地使用热处理强化变形铝合金制造各种结构材料和零部件。研究其焊接性能指标．以Al-Cu-Mn系铝合金(2A16)为对象，采用交流钨极氩弧焊焊接工艺及同质和异质焊丝，制备了2A16硬铝合金焊接试样．通过测试力学性能、金相组织和扫描电镜断口分析等方法，对其焊接性能进行了研究．结果表明：2A16硬铝合金有较好的抗结晶裂纹形成能力，影响其焊接性能的主要问题是过时效软化区的强度下降：当填充金属中Mg／Cu质量比比较大时，焊缝出现脆断倾向，欲进一步提高焊接接头强度，一方面可采用能量密度更高的热源，同时减小焊接线能量，以减少过时效软化区的不利影响；另一方面，限制填充金属中Mg／Cu的质量比，避免出现对焊接接头强化不利的β相和T相．     

Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors

This study compared surface emissivity and radiometric temperature retrievals derived from data collected with the MODerate resolution Imaging Spectroradiometer (MODIS) and Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) sensors, onboard the NASA's Earth Observation System (EOS)-TERRA satellite. Two study sites were selected: a semi-arid area located in northern Chihuahuan desert, USA, and a Savannah landscape located in central Africa. Atmospheric corrections were performed using the MODTRAN 4 atmospheric radiative transfer code along with atmospheric profiles generated by the National Center for Environmental Predictions (NCEP). Atmospheric radiative properties were derived from MODTRAN 4 calculations according to the sensor swaths, which yielded different strategies from one sensor to the other. The MODIS estimates were then computed using a designed Temperature-Independent Spectral Indices of Emissivity (TISIE) method. The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm. The MODIS and ASTER radiometric temperature retrievals were in good agreement when the atmospheric corrections were similar, with differences lower than 0.9 K. The emissivity estimates were compared for MODIS/ASTER matching bands at 8.5 and 11 μm. It was shown that the retrievals agreed well, with RMSD ranging from 0.005 to 0.015, and biases ranging from −0.01 to 0.005. At 8.5 μm, the ranges of emissivities from both sensors were very similar. At 11 μm, however, the ranges of MODIS values were broader than those of the ASTER estimates. The larger MODIS values were ascribed to the gray body problem of the TES algorithm, whereas the lower MODIS values were not consistent with field references. Finally, we assessed the combined effects of spatial variability and sensor resolution. It was shown that for the study areas we considered, these effects were not critical.     

夹杂物对16MnR（HIC）抗氢致裂纹的影响

对不同硫含量的１６ＭｎＲ（ＨＩＣ）中厚板进行ＨＩＣ试验及夹杂物分析,结果表明,１６ＭｎＲ（ＨＩＣ） 氢致裂纹敏感性随Ｓ含量增加而增强,硫化物夹杂达到２．０级仅出现氢鼓泡,大于２．０开始出现氢致裂纹以及氢鼓泡,小于０．５级抗氢致裂纹性能优良。     

一个从MODIS数据同时反演地表温度和发射率的神经网络算法

MODIS的三个热红外波段29、31、32建立了三个辐射传输方程,这三个方程包含了5个未知数(大气平均作用温度、地表温度和三个波段的发射率)。用JPL提供的大约160种地物的波谱数据对MODIS三个波段(29/31/32)发射率之间的关系和用MODTRAN4对大气透过率和大气水汽含量之间关系进行模拟分析。分析结果表明地球物理参数之间存在着大量的潜在信息。由于潜在的信息难以严格地用数学表达式来描述,因此神经网络是非常适合被用来解这种病态反演问题。利用辐射传输模型(RM)和神经网络(NN)反演分析表明神经网络能够被用来精确地同时从MODIS数据中反演地表温度和发射率。地表温度的平均反演误差在0.4°C以下;波段29/31/32发射率平均反演误差都在0.008以下。     

基于MODIS和AMSR-E遥感数据的土壤水分降尺度研究

微波传感器获得的土壤水分产品空间分辨率一般都很粗,而流域尺度上的研究需要中高分辨率的土壤水分数据。用MODIS逐日地表温度产品MOD11A1和逐日地表反射率产品MOD09GA构建温度-植被指数特征空间,并计算得到TVDI(Temperature Vegetation Dryness Index)指数,它与土壤水分呈负相关关系,能够反映土壤水分的空间分布模式,但并不是真实的土壤水分值。在AMSR-E像元尺度上求得TVDI与土壤水分的负相关系数,进而对VUA AMSR-E土壤水分产品进行降尺度计算得到0.01°分辨率的真实土壤水分值。经NAFE06(The National Airborne Field Experiment 2006)试验地面采样数据验证,降尺度后的土壤水分均方根误差平均值为6.1%。     

CPR1000全厂断电事故瞬态特性分析

用RELAP5/MOD3.4程序对CPR1000压水堆一回路系统进行整体建模,分析全厂断电事故下一回路主要参数的瞬态热工水力特性,并将RELAP5模型计算结果与THEMIS程序的计算结果进行对比,二者符合得较好。计算结果表明：该模型可较准确地模拟CPR1000在事故下的热工水力特性。     

MODIS水体指数模型(CIWI)研究及其应用

本文通过分析MODIS与水体识别相关的1~7波段地物光谱图像特征及相关水体指数模型的识别效果,提出了新的水体指数模型(CIWI)。该模型采用植被指数与近红外波段7的进一步组合,有效地解决了水体与云、植被、城镇等其他信息的分离问题,特别是明显地增强了水体与城镇的分离度,实现了水体信息的有效提取。通过应用2004~2005年的MODIS资料对广西贵港市平龙水库进行水体信息遥感监测表明,CIWI水体指数模型优于其他水体指数模型。     

Truncated O-Glycan-Bearing MUC16 Enhances Pancreatic Cancer Cells Aggressiveness via α4β1 Integrin Complexes and FAK Signaling

Elevated levels of Mucin-16 (MUC16) in conjunction with a high expression of truncated O-glycans is implicated in playing crucial roles in the malignancy of pancreatic ductal adenocarcinoma (PDAC). However, the mechanisms by which such aberrant glycoforms present on MUC16 itself promote an increased disease burden in PDAC are yet to be elucidated. This study demonstrates that the CRISPR/Cas9-mediated genetic deletion of MUC16 in PDAC cells decreases tumor cell migration. We found that MUC16 enhances tumor malignancy by activating the integrin-linked kinase and focal adhesion kinase (ILK/FAK)-signaling axis. These findings are especially noteworthy in truncated O-glycan (Tn and STn antigen)-expressing PDAC cells. Activation of these oncogenic-signaling pathways resulted in part from interactions between MUC16 and integrin complexes (α4β1), which showed a stronger association with aberrant glycoforms of MUC16. Using a monoclonal antibody to functionally hinder MUC16 significantly reduced the migratory cascades in our model. Together, these findings suggest that truncated O-glycan containing MUC16 exacerbates malignancy in PDAC by activating FAK signaling through specific interactions with α4 and β1 integrin complexes on cancer cell membranes. Targeting these aberrant glycoforms of MUC16 can aid in the development of a novel platform to study and treat metastatic pancreatic cancer.     

压力容器O形金属密封环的回弹行为研究

通过弹塑性有限元接触分析和循环压扁试验,对60Si2Mn、304不锈钢和TA16材料O形密封环管材在室温条件下的回弹行为进行了研究。结果表明:TA16合金O形管状试样回弹量H与60Si2Mn钢回弹量较为接近,且为304不锈钢回弹量的2～3倍;提出了用于O形环回弹量预测的回弹模型,该模型对这3种金属材料O形管状试样的预测结果和实验结果具有很好的一致性。