Synthesis and Charcterization of Silane Crosslinked Hydrogel to pH Sensitive Study

Eco-friendly and biodegradable novel hydrogel were prepared by blending and solution casting method. The designed hydrogel is based on chitosan/ PEG600/Gurgam with carbon nanofiller along silane crosslinked (TEOS) with pH sensitive response to controlled release of drug in biomedical materials and agriculture industry. The various concentration of carbon nanofiller is used to analyze its effect on the fabricated hydrogel characteristics by using FTIR, SEM, TGA, swelling studies (water, buffer and ionic solution). Spectra of FTIR reflected both established and newly developed groups (like hydrogel). COOH group presence is clearly observed in this range in the carbon filler reinforced hydrogel. The SEM micrographs show that CPG0.003 had a collection of polysaccharide chains as thin helices, which is attributed to the increase in the size of porosity. TGA shows to increase concentration of nanofiller enhanced the thermal stability of the designed hydrogels at temperature 25˚C to 550˚C mass loss percentage decrease upto 20% and increase thermal stability. This pH response made these resultant hydrogels as fruitful competitor against the many reported controlled release application.

Third Order Adjoint Sensitivity and Uncertainty Analysis of an OECD/NEA Reactor Physics Benchmark: II. Computed Sensitivities

This work presents the results of the exact computation of (180)3 = 5,832,000 third-order mixed sensitivities of the leakage response of a polyethylene-reflected plutonium (PERP) experimental benchmark with respect to the benchmark’s 180 microscopic total cross sections. This computation was made possible by applying the Third-Order Adjoint Sensitivity Analysis Methodology developed by Cacuci. The numerical results obtained in this work revealed that many of the 3rd-order sensitivities are significantly larger than their corresponding 1st- and 2nd-order ones, which is contrary to the widely held belief that higher-order sensitivities are all much smaller and hence less important than the first-order ones, for reactor physics systems. In particular, the largest 3rd-order relative sensitivity is the mixed sensitivity of the PERP leakage response with respect to the lowest energy-group (30) total cross sections of 1H (“isotope 6”) and 239Pu (“isotope 1”). These two isotopes are shown in this work to be the two most important parameters affecting the PERP benchmark’s leakage response. By comparison, the largest 1st-order sensitivity is that of the PERP leakage response with respect to the lowest energy-group total cross section of isotope 1H, having the value , while the largest 2nd-order sensitivity is . The 3rd-order sensitivity analysis presented in this work is the first ever such analysis in the field of reactor physics. The consequences of the results presented in this work on the uncertainty analysis of the PERP benchmark’s leakage response will be presented in a subsequent work.

Third Order Adjoint Sensitivity and Uncertainty Analysis of an OECD/NEA Reactor Physics Benchmark: III. Response Moments

The (180)3 third-order mixed sensitivities of the leakage response of a polyethylene-reflected plutonium (PERP) experimental benchmark with respect to the benchmark’s 180 microscopic total cross sections have been computed in accompanying works [1] [2]. This work quantifies the contributions of these (180)3 third-order mixed sensitivities to the PERP benchmark’s leakage response distribution moments (expected value, variance and skewness) and compares these contributions to those stemming from the corresponding first- and second-order sensitivities of the PERP benchmark’s leakage response with respect to the total cross sections. The numerical results obtained in this work reveal that the importance of the 3rd-order sensitivities can surpass the importance of the 1st- and 2nd-order sensitivities when the parameters’ uncertainties increase. In particular, for a uniform standard deviation of 10% of the microscopic total cross sections, the 3rd-order sensitivities contribute 80% to the response variance, whereas the contribution stemming from the 1st- and 2nd-order sensitivities amount only to 2% and 18%, respectively. Consequently, neglecting the 3rd-order sensitivities could cause a very large non-conservative error by under-reporting the response variance by a factor of 506%. The results obtained in this work also indicate that the effects of the 3rd-order sensitivities are to reduce the response’s skewness in parameter space, rendering the distribution of the leakage response more symmetric about its expected value. The results obtained in this work are the first such results ever published in reactor physics. Since correlations among the group-averaged microscopic total cross sections are not available, only the effects of typical standard deviations for these cross sections could be considered. Due to this lack of correlations among the cross sections, the effects of the mixed 3rd-order sensitivities could not be quantified exactly at this time. These effects could be quantified only when correlations among the group-averaged microscopic total cross sections would be obtained experimentally by the nuclear physics community.

Fourth-Order Adjoint Sensitivity Analysis of an OECD/NEA Reactor Physics Benchmark: II. Mathematical Expressions and CPU-Time Comparisons for Computing 4^th-Order Sensitivities

This work extends to fourth-order previously published work on developing the adjoint sensitivity and uncertainty analysis of the numerical model of a polyethylene-reflected plutonium (acronym: PERP) OECD/NEA reactor physics benchmark. Previous works showed that the third-order sensitivities of the PERP leakage response with respect to these total microscopic cross sections are far larger than the corresponding 1st-order and 2nd-order ones, thereby having the largest impact on the uncertainties induced in the PERP benchmark’s response. This finding has motivated the development of the original 4th-order formulas presented in this work, which are valid not only for the PERP benchmark but can also be used for computing the 4th-order sensitivities of response of any nuclear system involving fissionable material and internal or external neutron sources. Subsequent works will use the adjoint-based mathematical expressions obtained in this work to compute exactly and efficiently the numerical values of the largest fourth-order sensitivities of the PERP benchmark’s response to the total microscopic cross sections, and use them for a pioneering fourth-order uncertainty analysis of the PERP benchmark’s response.

Third-Order Adjoint Sensitivity Analysis of an OECD/NEA Reactor Physics Benchmark: I. Mathematical Framework

This work extends to third-order previously published work on developing the adjoint sensitivity and uncertainty analysis of the numerical model of a polyethylene-reflected plutonium (acronym: PERP) OECD/NEA reactor physics benchmark. The PERP benchmark comprises 21,976 imprecisely known (uncertain) model parameters. Previous works have used the adjoint sensitivity analysis methodology to compute exactly and efficiently all of the 21,976 first-order and (21,976)2 second-order sensitivities of the PERP benchmark’s leakage response to all of the benchmark’s uncertain parameters, showing that the largest and most consequential 1st- and 2nd-order response sensitivities are with respect to the total microscopic cross sections. These results have motivated extending the previous adjoint-based derivations to third-order, leading to the derivation, in this work, of the exact mathematical expressions of the (180)3 third-order sensitivities of the PERP leakage response with respect to these total microscopic cross sections. The formulas derived in this work are valid not only for the PERP benchmark but can also be used for computing the 3rd-order sensitivities of the leakage response of any nuclear system involving fissionable material and internal or external neutron sources. Subsequent works will use the adjoint-based mathematical expressions obtained in this work to compute exactly and efficiently the numerical values of these (180)3 third-order sensitivities (which turned out to be very large and consequential) and use them for a third-order uncertainty analysis of the PERP benchmark’s leakage response.

Pt Deposition on Anode Enhances the Performance of Dye-Sensitized Solar Cell with Non-Cross-Linked Gel Electrolyte

We fabricated dye-sensitized solar cells with non-cross-linked fluorinated gel electrolyte. The application of fluorinated gel to electrolyte is a challenging issue at present. The gelation of the electrolyte is of importance in order to solve the problem in the durability of the cell. We investigated, in this article, the effect of Pt deposition on the anode of the cell. The Pt was deposited by means of a DC sputtering technique. The studies showed that the deposition time strongly affected both open voltage and short-circuit current of the cell. The adaptive thickness of the Pt layer was determined to be 10 nm for the non-cross-linked fluorinated gel electrolyte cells.

Improving cross drain systems to minimize sediment delivery using GIS

A well developed network of roads must exist as a necessary infrastructure system in modem forestry to facilitate forest op- erations. But forest roads have the potential to disrupt the drainage characteristics of watersheds and lead to negative impacts on the environment with increased erosion and sediment yields. Numerous factors affect surface erosion of roads and sediment production potential; determining and ranking them could be a guide for management decisions to erosion control. In this study, the CULSED model （as an extension of ArcGIS） was used to estimate sediment delivery and the distribution of a road network, given the exist- ing culverts. Using the model, some culverts were added to the road network around places with high sediment delivery in order to minimize it. After a correlation analysis and adjustment between sediment production and the factors, i.e., road width, road gradient, age of road and vegetation cover, the trend of changes in sediment delivery with model changes in the input was investigated with a sensitivity analysis of the model. The results show that adding new culverts to the road resulted in a significant reduction of sediment delivery. The most important factor affecting sediment delivery was road width, followed by road gradient, vegetation cover and age of road. Road width and gradient were positively correlated with sediment delivery, while vegetation cover and age of road were neg- atively correlated. The best model to show the relation between sediment delivery and road width as well as with road gradient was a linear model, for vegetation cover a cubic equation and for road age a power model. The results of sensitivity analysis showed that sediment delivery had the greatest sensitivity to changes of road width and was least sensitive to changes in the age of the road. This model can help to estimate sediment delivery with its spatial distribution, which can be used for optimization of cross drain systems and strategies of sediment control. Application of the model requires field trials to acquire the necessary input data. The reliability of our results is a function of the accuracy of inputs, especially digital elevation model.

面向质量和交货期的产能分享平台审核策略研究

通过构建双边市场模型探索产能分享平台的审核策略。研究表明:当产能需求方仅对质量敏感,排除低质量产能供应方比仅根据质量对产能供应方分级更利于平台盈利;当产能需求方对质量和交货期均敏感,设置两个维度的审核门槛能使平台获得更高利润;平台利润与双边用户交叉网络外部性、产能需求方对质量的敏感性正相关,与产能需求方对交货期的敏感性负相关;质量和交货期审核门槛受产能需求方对这两个维度的敏感性、双边用户网络外部性、平台审核成本系数相互作用影响。

极性分子的结构异同性对接枝改性交联聚乙烯材料直流电性能的影响

为改善高压直流电缆运行过程中绝缘层材料的电导率对温度与电场强度敏感性所导致的电场反转问题,以及直流高压长时间作用下的空间电荷积聚现象,该文采用极性基团接枝改性的方式提升交联聚乙烯(XLPE)材料的直流电性能。由于接枝单体一般为沸点较低的极性小分子化合物,为避免材料在接枝过程中单体的气化损失,首先通过平行双螺杆挤出机配合低温高压计量泵装置实现熔融接枝反应。将丙烯酸酯类小分子化合物(丙烯酸甲酯(MA)、丙烯酸丁酯(BA)、甲基丙烯酸甲酯(MMA))分别预先接枝到低密度聚乙烯(LDPE)大分子链上制备接枝材料,通过红外光谱测试分析得出接枝单体皆成功接枝到LDPE大分子链上,熔融指数与凝胶含量测定表明材料的流变性能并未发生显著改变,X射线衍射测试与扫描电子显微镜观测发现接枝改性材料的结晶特性保持与基础树脂相似。进一步对三种接枝母料按一定比例稀释并完成交联过程,通过变温直流电导测试发现三种接枝改性材料的电导率-温度敏感性均出现不同程度的下降,综合高温空间电荷测试可以得出,接枝MA的XLPE材料电导率-温度敏感性下降幅度最大、空间电荷分布特性优异;结合第一性原理仿真计算可以进一步得到,三种接枝单体改性XLPE模型的陷阱能级较为一致,其直流电性能的改善效果与接枝单体的静电势分布存在显著关联。

输血检验中凝聚胺法与微柱凝胶法的应用效果及检验结果比较

目的探讨输血检验中凝聚胺法与微柱凝胶法的应用效果及检验结果。方法选取2022年1月至2023年6月赣州市人民医院收治的116例临床输血患者作为研究对象,均采用凝聚胺法与微柱凝胶法进行不完全抗体筛查,比较两种筛查结果,包括交叉配血检测时间、交叉配血结果、不完全抗体检测灵敏度和特异度。结果聚胺法交叉配血检测时间为(10.94±2.66)min,短于微柱凝胶法的(28.54±2.74)min,差异有统计学意义(P<0.05)。两种方法交叉配血结果中的主侧阳性率、次侧阳性率、假阳性率比较差异无统计学意义;凝聚胺法总阳性率为4.31%,低于微柱凝胶法的12.07%,差异有统计学意义(P<0.05)。微柱凝胶法筛查出不完全抗体患者14例,其中抗C 1例(0.86%)、抗D 4例(3.45%)、抗E 8例(6.90%)、抗e 1例(0.86%);凝聚胺法筛查出不完全抗体患者5例,其中抗C 1例(0.86%)、抗D 1例(0.86%)、抗E 2例(1.72%)、抗e 1例(0.86%)。微柱凝胶法对不完全抗体检测的灵敏度、特异度、正确诊断指数及符合率分别为96.28%、99.42%、0.71、99.37%,凝聚胺法对不完全抗体检测的灵敏度、特异度、正确诊断指数及符合率分别为94.35%、99.14%、0.63、99.10%。结论微柱凝胶法检出阳性率、检测结果稳定性和不完全抗体检测的灵敏度更高,但凝聚胺法配血速度更快。

吐鲁番市土地利用转型及生态服务功能交叉敏感性

厘清吐鲁番市2000-2018年土地利用转型及生态服务价值时空演变特征,探讨生态服务价值与地类转型的相互关系,可为合理规划区域土地资源的同时实现生态服务功能的改善和提升提供依据。基于5期土地利用遥感影像数据,采用土地利用动态变化模型及修正后的生态服务价值系数,结合改进的交叉敏感性系数模型分析生态服务价值对土地利用转型的敏感程度。结果表明,1)吐鲁番市以草地、未利用地及耕地等地类为主,建设用地、耕地持续扩张,水域、草地不断减少,其中以草地与水域、耕地及未利用地之间的转型为主;2)研究时段内生态系统服务价值呈现“先减后增再减”的动态变化趋势,高值区主要分布于北部山区以及中部绿洲平原区域;3)生态服务功能对林地、水域、草地及未利用地向其他地类转型敏感性响应程度较高,草地、建设用地与未利用地转型的高敏感区分布较广,未利用地与水域、建设用地间转型的低敏感区分布较广。区域应加强对水域、林地、草地等生态系统的保护,在发展经济建设的同时注重合理规划土地资源及生态环境质量的提升。

敏感个人数据跨境流动的包容审慎监管

文章在比较欧盟、美国和日本的敏感个人数据跨境流动监管异同的基础上,构建了敏感个人数据跨境流动包容审慎监管理论,以及“个人-企业或单位-政府”和“隐私-自由-监管”的监管机理,基于健康医疗敏感个人信息跨境流动的实际,探讨个人健康医疗信息跨境流动的现实必要性、敏感个人健康医疗信息跨境流动存在的安全风险、敏感个人健康医疗信息跨境流动包容审慎监管的实践探索等问题,提出“对标CPTPP和DEPA规则现存的差距,将数据资源优势转化为竞争优势”的探索思路。

5G时代SPN细粒度网络切片时延分析及优化

随着5G+垂直行业对低带宽低时延敏感业务的需求,切片分组网(SPN)的5 Gbit/s粒度的硬切片已经无法满足当前业务对于低带宽的需求,故推动SPN切片粒度向Mbit/s平滑演进,即SPN细颗粒技术成为SPN发展的必然选择。然而,随着SPN切片粒度变小、帧结构的变化,以及一些垂直行业业务对低时延的需求,使优化中间节点交叉时延成为降低时延的重点。针对上述SPN细颗粒技术的时隙时延问题,本文分析了中间节点交叉时延增加的理论原因,测试验证中间节点480个细颗粒时隙时延分布情况,提出一种支持端到端低延迟传输的时隙优选机制。该机制根据时隙时延的分布规律,为时隙优选问题提供了一种可行的解决方案,实验结果表明在负载25%、50%、75%的条件下,时隙时延分别降低了44.47%、29.18%、24.23%,满足了低带宽低时延敏感业务的承载需求。

佛山市13所医院肿瘤科护士伦理敏感性现状及其影响因素分析

目的探讨佛山市13所医院肿瘤科护士伦理敏感性现状并分析其影响因素,为制定有效的干预措施提供依据。方法2023年7月—9月,采用整群抽样法选择广东省佛山市13所三级甲等综合医院574名肿瘤科护士作为研究对象,采用一般资料调查表、中文版护士道德敏感性调查问卷(revised moral sensitivity questionnaire,MSQ-R-CV)、关怀行为量表(caring behaviour inventory,CBI)、中文版情绪智力量表(wong and Law emotional intelligence scale,WLEIS)进行横断面研究,采用单因素与多元线性逐步回归分析筛选影响因素。结果524名护士完成研究。肿瘤科护士伦理敏感性总分为(44.57±7.63)分;护士伦理敏感性的关怀行为总分为(125.86±17.95)分,护士情绪智力总分为(86.82±14.37)分。多元线性逐步回归结果显示,在肿瘤科工作年限、近3年内是否参加医学伦理与叙事护理培训、关怀行为、情绪智力变量是肿瘤科护士伦理敏感性的影响因素(均P<0.05),共解释因变量总变异的70.5%(F=94.253,P<0.001)。结论佛山市肿瘤科护士伦理敏感性处于较高水平,在肿瘤科工作年限≤20年、近3年内未参加医学伦理与叙事护理培训、关怀行为不足、情绪智力水平较低的护士,其伦理敏感性水平较低,应引起护理管理者重视,通过适当干预提升其伦理敏感性。

基于光纤感知的盐深传感系统设计

为了同时检测盐度与深度,并且抑制温度对测试的交叉敏感问题,设计了一种基于不同封装光纤传感器联用的盐深传感系统。三种不同封装形式的光纤传感器通过光纤串联实现盐度深度温度的同时测量与解算。构建了盐度和深度的反演模型,分析了温度补偿的可行性。实验分别针对盐度、深度及温度的变化进行了测试。结果显示,在0~50g/L的盐度测试中,系统灵敏度均值为128.7pm·g^(-1)·L^(-1),主峰与盐度变化的第一个主峰波长偏移的变化线性度为0.9654。在1~15cm的深度测试中,随深度变化的平均波长偏移量为751.9pm/cm,线性度为0.9931;在23~45℃的温度测试中,三个光纤传感器的温度响应基本一致,在采用FBG2的测试数据进行温度补偿后,LPG和FBG1的波长偏差仅有"10pm。

基于双阵元互相关的北斗系统弱干扰检测方法

随着北斗卫星导航系统的广泛应用,其易受干扰影响的弊端也逐渐显露出来。针对传统频域干扰检测方法中接收机灵敏度受限的问题,提出了一种基于双阵元互相关的微弱干扰检测技术。首先,建立了互相关检测模型;其次,通过理论分析和软件仿真,定性定量分析了干噪比、干扰带宽及互相关积分时长这3种因素对基于双阵元互相关干扰检测性能的影响;最后,通过实测验证了理论分析的正确性和所提方法的有效性。实测结果表明,在干扰带宽为20 MHz时,对1 ms时长的干扰进行互相关检测,可有效检测到电磁环境中功率-110 dBm以下的干扰,突破了传统频域方法-100 dBm的检测瓶颈。

融合敏感词典和异构图的汉泰跨语言敏感信息识别

通用跨语言文本分类模型识别毒品、暴力和自然灾害等敏感信息不准确,且汉泰双语敏感词表示多样化、难对齐导致不同语言信息聚合能力较弱,为此提出一种融合敏感词典和异构图的汉泰跨语言敏感信息识别方法。利用汉泰敏感词典构建具有文档对齐和词对齐的跨语言异构图结构,将文档以及所含关键词和敏感词作为节点,双语对齐、相似关系和不同词性作为边构建汉泰跨语言异构图;基于多语言预训练模型对文档节点和词节点进行表征;通过多层图卷积神经网络对输入文档进行编码,使用敏感信息分类器对文档进行分类预测。实验结果表明,所提方法准确率较基线模型提高了5.83%。

Investigation of Strain-Temperature Cross-Sensitivity of FBG Strain Sensors Embedded Onto Different Substrates

The strain-temperature cross-sensitivity problem easily occurs in the engineering strain monitoring of the self-sensing embedded with fiber Bragg grating(FBG)sensors.In this work,a theoretical investigation of the strain-temperature cross-sensitivity has been performed using the temperature reference grating method.To experimentally observe and theoretically verify the problem,the substrate materials,the preloading technique,and the FBG initial central wavelength were taken as main parameters.And a series of sensitivity coefficients calibration tests and temperature compensation tests have been designed and carried out.It was found that when the FBG sensors were embedded on different substrates,their coefficients of the temperature sensitivity were significantly changed.Besides,the larger the coefficients of thermal expansion(CTE)of substrates were,the higher the temperature sensitivity coefficients would be.On the other hand,the effect of the preloading technique and FBG initial wavelength was negligible on both the strain monitoring and temperature compensation.In the case of similar substrates,we did not observe any difference between temperature sensitivity coefficients of the temperature compensation FBG with one free end or two free ends.The curves of the force along with temperature were almost overlapped with minor differences(less than 1%)gained by FBG sensors and pressure sensors,which verified the accuracy of the temperature compensation method.We suggest that this work can provide efficient solutions to the strain-temperature cross-sensitivity for engineering strain monitoring with the self-sensing element embedded with FBG sensors.

谷胱甘肽S转移酶P1和X线修复交错互补基因1基因多态性与前列腺癌化疗敏感性及预后关系研究

目的:探究前列腺癌患者谷胱甘肽S转移酶P1(GSTP1)和X线修复交错互补基因1(XRCC1)基因多态性与化疗敏感性及预后的关系。方法:选取2018年5月至2021年5月行雄激素剥夺治疗+双药化疗的前列腺癌患者103例,收集患者临床资料,采用PCR-PFLP方法对患者行基因分型,并分析其GSTP1-rs1695位点和XRCC1-rs25487位点的多态性,分析其与化疗敏感性的关系,并探究GSTP1和XRCC1基因多态性与患者3年生存率的相关性。结果:103例前列腺癌化疗患者GSTP1-rs1695位点和XRCC1-rs25487位点分布均符合Hardy-Weinberg平衡(χ2=9.794,P>0.05)。GSTP1-rs1695位点中AA基因型占比为65.05%(67/103),AG基因型占比为23.30%(24/103),GG基因型占比为11.65%(12/103);XRCC1-rs25487位点中AA基因型占比为29.13%(30/103),AG基因型占比为50.49%(52/103),GG基因型占比为20.39%(21/103)。GSTP1-rs1695 AA型化疗敏感性为35.82%,低于AG/GG型58.33%(P<0.05)。XRCC1-rs25487 AA型化疗敏感性为40.00%,AG/GG型45.21%,两者差异无统计学意义(P>0.05)。GSTP1-rs1695、XRCC1-rs25487不同表型患者3年无进展生存率之间无明显差异(P>0.05)。GSTP1-rs1695 AA型3年总生存率低于AG/GG型;XRCC1-rs25487 AA型低于AG/GG型(P<0.05)。多因素COX回归分析结果显示,GSTP1-rs1695 AA型、XRCC1-rs25487 AA型均为前列腺癌患者化疗后3年总生存期的独立影响因素。结论:GSTP1-rs1695、XRCC1-rs25487基因多态性对前列腺癌患者化疗敏感性和预后均有一定影响,GSTP1-rs1695和XRCC1-rs25487 A等位基因突变均可导致更短的3年生存率,G等位基因突变可带来更好的化疗敏感性和生存期。

基于钻铤伽马信息交会的随钻中子气层识别方法

基于数值模拟方法开展钻铤次生伽马气层识别方法研究。从总非弹和俘获伽马信息中获取钻铤次生伽马产额信息,分析其在气/水层的响应差异,提出了一种基于钻铤非弹伽马和俘获伽马产额信息交会的气层识别方法,并对环境影响因素进行了分析。研究结果表明,相比于总非弹和总俘获伽马信息,钻铤的非弹和俘获伽马产额在气层识别方面具有更高的灵敏度;基于钻铤非弹伽马和俘获伽马交会的气层识别方法不但摆脱了对孔隙度信息的依赖,而且几乎不受井径和泥质含量的影响。该研究可以为改善随钻气层识别效果提供新的思路。