Hematization of Quartz Grains: Study of the Surface of Quartz Grains (M.E.B) and Semi-Quantitative Mineralization

Interest in the Côte d’Ivoire sedimentary basin has led to numerous investigations. All these investigations are aimed at understanding the functioning of the basin and a paleogeographic approach including sediment transport dynamics. However, the use of exoscopy and semi-quantitative mineralogy has been little developed. This study was carried out to compensate for this lack of interest in these methods. Its aim is to understand the transformation of quartz into hematite using exoscopy and semi-quantitative mineralogy in the Adiaké locality, in the eastern onshore basin of Côte d’Ivoire. Two methods were applied to 250 μm-diameter quartz grains from the 40 m coasts. Exoscopy provides information on microscopic texture, surface and corrosion, as well as determining the transport mechanism and deposition phases of quartz grains. Semi-quantitative mineralogy provides an estimate of the weight percentages of major element oxides and the ultrastructure of quartz grains. Exoscopy showed that these grains had been subjected to torrential fluvial transport. They were marked by mechanical and chemical traces during this transport and evolved in different environments. Semi-quantitative mineralogy shows the existence of negative and positive correlations between oxides. Negative correlations indicate a substitution, in order of importance, of silicon by iron, phosphorus and aluminum in these quartz. Positive correlations show that there is no substitution between the oxides concerned in these quartz grains. Divo’s quartz grains have recorded several mechanical and chemical microstructures of their sedimentary episodes, with the appearance of iron nodules in the ports left by silica.

A semi-quantitative coal burst risk classification system

Safety is the highest priority in the mining industry as underground mining in particular poses high safety risks to its workers. In underground coal mines, coal bursts are one of the most catastrophic hazards, which involves sudden and violent dynamic coal mass failure with rapid ejection of the broken material into the mine workings. Despite decades of research, the contributing mechanisms of coal bursts are still not completely understood. Hence, it remains challenging to forecast coal bursts and quantify their likelihood of occurrence. However, a range of geological and geotechnical factors are associated with coal bursts and can increase the coal burst proneness. This paper introduces a semi-quantitative coal burst risk classification system, namely, BurstRisk. Based on back-analysis of case histories from Australia, China and the United States, BurstRisk classifies the coal burst risk into three categories:low, medium and high risk. In addition, it allows mining engineers to modify the weighting of the selected factors based on specific conditions. The risk classification charts introduced are for both longwall retreat and development sections of long-wall mining operations. This paper also provides a set of risk management strategies and control measures for effective coal burst mitigation.

A Semi-Quantitative Analysis of Essential Micronutrient in Folium Lycii Using Laser-Induced Breakdown Spectroscopy Technique

Abstract In this paper, the capabilities of laser-induced breakdown spectroscopy （LIBS） for rapid analysis to multi-component plant are illustrated using a 1064 nm laser focused onto the surface of folium lycii. Based on homogeneous plasma assumption, nine of essential micronutrients in folium lycii are identified. Using Saha equation and Boltzmann plot method electron density and plasma temperature are obtained, and their relative concentration （Ca, Mg, A1, Si, Ti, Na, K, Li, and Sr） are obtained employing a semi-quantitative method.

Can semi-quantitative evaluation of uncertain (type II) time-intensity curves improve diagnosis in breast DCE-MRI?

Objective/Background: Qualitative assessment of uncertain (type II) time-intensity curves (TICs) in breast DCE-MRI is problematic and operator dependent. The aim of this work is to evaluate if a semi-quantitative assessment of uncertain TICs could improve overall diagnostic performance. Methods: In this study 49 lesions from 44 patients were retrospectively analysed. Per each lesion one region-of-interest (ROI)- averaged TIC was qualitatively evaluated by two radiologists in consensus: all the ROIs resulted in type II (uncertain) TIC. The same TICs were semi-quantitatively re-classified on the basis of the difference between the signal intensities of the last-time-point and of the peak: this difference was classified according to two different cut-off ranges (±5% and ±3%). All patients were cytological or histological biopsy proven. Fisher test and McNemar test were performed to evaluate if results were statistically significant (p < 0.05). Results: Using ±5% cut-off 16 TICs were reclassified as type III and 12 as type I while 21 were reclassified again as type II. Using ±3% 22 TICs were reclassified as type III and 16 as type I while 11 were reclassified again as type II. The semi-quantitative classification was compared to the histological-cytological results: the sensitivity, specificity, positive and negative predictive values obtained with ±3% were 77%, 91%, 91% and 78% respectively while using ±5% were 58%, 96%, 94% and 68% respectively. Using the ±5% cut-off 26/28 (93%) TICs were correctly reclassified while using the ±3% cut-off 34/38 (90%) TICs were correctly reclassified (p < 0.05). Conclusions: Semi-quantitative methods in kinetic curve assessment on DCE-MRI could improve classification of qualitatively uncertain TICs, leading to a more accurate classification of suspicious breast lesions.

Research on Fast Semi-Quantitative Risk Assessment Method for High Temperature and High Pressure Gas Wells

Aiming at the problem that the existing risk assessment methods in China cannot simply and accurately assess the safety risk of gas wells, a rapid semi-quantitative risk assessment method for gas wells under high temperature and pressure is studied. Based on the rapid risk assessment method of annulus well with pressure in Chevron Company and the existing risk assessment methods, the well barrier and annulus pressure of high temperature and high pressure gas wells are fully considered. A rapid semi-quantitative risk assessment method for high temperature and high pressure gas wells is established, which takes the annulus pressure value, well service life, annulus pressure recovery after pressure relief, reservoir conditions (formation pressure, production) and well CO2 and H2S content as the key risk indexes. The method is applied in a gas field, and the risk value and risk grade of a practical well are semi-quantitatively evaluated. The overall risk situation of the well is obtained. The research results provide important technical guidance for the safe production of gas well.

Semi-Quantitative Estimation of Ce³⁺/Ce⁴⁺Ratio in YAG:Ce³⁺Phosphor under Different Sintering Atmosphere

In order to confirm the relationship between the luminescence and the ratio of Ce3+/Ce4+ more clearly, a series of YAG:Ce3+ (Yttrium Aluminum Garnet, Y2.94Al5O12:0.06Ce3+) phosphors were pre- pared under different sintering atmosphere. A semi-quantitative analysis based on X-ray photoe-lectron spectroscopy (XPS) was introduced to study the mole ratio of Ce3+/Ce4+ in the as-synthesized YAG:Ce3+ phosphors. The results indicated that the percentage of Ce3+/(Ce3+ + Ce4+) reached 88.46% under the reduction atmosphere. The emission intensity of YAG:Ce3+ phosphors was in-creased significantly with the increasing of Ce3+ concentration.

Fault diagnosis of AMT gear shifting process based on semi-quantitative SDG model

In order to diagnose gear shifting process in automated manual transmission（AMT）,a semi-quantitative signed directed graph（SDG）model is applied.Mathematical models are built by analysis of the power train dynamic and the gear shifting control process.The SDG model is built based on related priori knowledge.By calculating the fuzzy membership degree of each compatible passway and its possible fault source,we get the possibilities of failure for each possible fault source.We begin with the nodes with the maximum possibility of failure in order to find the failed part.The diagnosis example shows that it is feasible to use the semi-quantitative SDG model for fault diagnosis of the gear shifting process in AMT.

Standardized Semi-Quantitative Evaluation of [123I]FP-CIT SPECT in a Multicenter Study

To the best of our knowledge no multicenter studies have been published using standardized semi-quantitative evaluation of [123I]FP-CIT scan (DAT-SPECT). The aims of this study were: 1) to cross-compare semi-quantitative software-assisted evaluations of DAT-SPECTs performed in three centers with different equipments;2) to assess the accuracy of semi-quantitative evaluations of DAT-SPECT and 3) to identify the threshold with the best accuracy, sensitivity and specificity in a patient population with suspected parkinsonian syndrome. Materials and Methods: Two hundred twenty patients (mean age at the time of SPECT acquisition, 67.4 ± 9.5 yy) acquired in three centers (Ospedale San Luigi Gonzaga;Ospedale San Giovanni Battista Molinette;Ospedale Mauriziano Umberto I) were included. All of them underwent DAT-SPECT from January 2006 to July 2010. All exams were analyzed with the freely available software BASGAN and semi-quantitative data were used to predict disease. In particular, analyses were based on the values from the most deteriorated putamen and caudate, normalized for age and corrected for equipment. ROC analysis was performed and area under the curve (AUC) was estimated. Results: Analysis showed high AUCs (0.898, 0.864, 0.900 and 0.891 for each center and for the multicenter setting, respectively) confirming the very good accuracies reached. The best cut-off were 0.72 and 0.82 for putamen and caudate respectively. These thresholds allowed sensitivities and specificities in each center and in the multicenter setting of 76% and 96%, 91% and 82%, 93% and 90%, 86% and 89% respectively. No significant differences were observed between sensibility and specificity in each center. Conclusion: A unique threshold useful for all centers with high and similar sensitivities and specificities is possible after correction for age and equipments. The high accuracy reached in this multicenter trial by the semi-quantitative analysis seems similar to accuracies from qualitative analysis in other multicenter studies.

地震多属性储层厚度半定量预测--以鄂尔多斯盆地东南部山2段储层为例

鄂尔多斯盆地东南部山2段致密气储层薄、埋深大、构造平缓、上下围岩存在煤、灰岩等强反射界面,利用低频、弱信号黄土塬二维地震资料,定量预测储层厚度难度大。以延安气田延113-延133井区二叠系山西组山23储层为研究对象,对储层厚度进行分级,基于二维地震资料标准化处理的结果提取地震属性,分析二维地震属性与实钻储层厚度级别之间的关系,建立了多个随机森林算法融合多属性预测方案,进行优化筛选半定量储层厚度预测方案。优选方案预测山23砂体厚度与实钻结果相关系数达0.77。该方法可加深对研究区山23河道展布认识,落实并增加该区地质储量,取得了显著的建井成效。

99mTc-MDP全身骨断层融合显像半定量技术对前列腺癌骨转移病灶识别的价值研究

目的探讨99mTc-MDP全身骨断层融合显像半定量技术对前列腺癌骨转移病灶识别的价值。方法选择我院于2021年5月~2023年5月前列腺癌患者80例,术后病理显示前列腺癌骨转移患者54例,无骨转移患者26例。所有患者均行99mTc-MDP全身骨断层融合显像半定量技术检查。由1名主治医师和1名主任医师独立完成图像分析。经QMetrix分析即可获得平均标准化摄取值(SUV_(mean))和最大标准化摄取值(SUV_(max))。比较骨转移组与无骨转移组血清前列腺特异性抗原(PSA),SUV_(mean)和SUV_(max)变化;分析99mTc-MDP全身骨断层融合显像诊断骨转移准确率、灵敏度和特异度;Pearson分析PSA与SUV_(mean)和SUV_(max)相关性。结果骨转移组血清PSA水平高于无骨转移组(P<0.05)。骨转移组SUV_(mean)和SUV_(max)值大于无骨转移组(P<0.05)。99mTc-MDP全身骨断层融合显像诊断骨转移准确率为88.89%(48/54)。99mTc-MDP全身骨断层融合显像诊断骨转移灵敏度为79.63%,特异度为80.77%。经Pearson相关性分析显示,PSA与SUV_(mean)和SUV_(max)呈线性正相关(P<0.05)。结论99mTc-MDP全身骨断层融合显像半定量技术对前列腺癌骨转移病灶诊断准确率较高,且具有良好诊断灵敏度和特异度,值得临床借鉴。

Predicting quantitative structure-activity relationship of substituted 17α-acetoxyprogesterones by molecular hybridization electronegativity-distance vector

A set of novel structural descriptors (molecular hybridization electronegativity-distance vector, VMEDh) was put forward, and the quantitative structure–activity relationship (QSAR) of a series of 17α-Acetoxyprogesterones (APs) was investigated. Taking into account the effect of various hybridized orbits on atomic electronegativities, we developed the structure descriptors with amended electronegativities to build a QSAR model. The 10-parameter model based on VMEDh yields a correlation coefficient R=0.972 and standard deviation SD=0.262, which are more desirable than those of the previous molecular electonegativity-distance vector (MEDV-4) (R=0.969, SD=0.275). By stepwise multiple linear regression, several parameters are selected to construct optimal models. The 7-parameter model based on VMEDh has R=0.960 and SD=0.276; its correlation coefficient (RCV) and standard deviation (SDCV) for leave-one-out procedure crossvalidation are respectively RCV=0.890 and SDCV=0.445. The 6-parameter MEDV-4 model has R=0.946, SD=0.304, RCV=0.903 and SDCV=0.406. It is demonstrated that VMEDh has desirable estimation performance and good predictive capability for this series of chemical compounds.

抗病毒联合抗结核治疗HBV-DNA阳性初治肺结核的疗效及肝功能、IFN-γ、SSS评分相关性分析

目的 分析抗病毒联合抗结核治疗乙肝病毒的脱氧核糖核酸(HBV-DNA)阳性初治肺结核的疗效并分析患者干扰素-γ(IFN-γ)、半定量积分系统(SSS)评分与肝功能的相关性。方法 选择2022年3月—2023年3月南通大学附属如皋医院收治的120例HBV-DNA阳性初治肺结核患者作为研究对象,按随机数字表法分为2组,各60例。对照组采取常规抗结核治疗,观察组在对照组基础上联合抗病毒治疗。患者均治疗6个月,比较2组临床疗效(病灶吸收、痰菌转阴、HBV-DNA转阴情况);治疗前、治疗后肝功能、炎症因子水平;比较2组不同时点(治疗前、治疗1、3、6个月)IFN-γ、HBV-DNA、SSS评分水平;采用双变量相关性Pearson分析肝功能、IFN-γ、SSS评分的相关性。结果 观察组病灶吸收、痰菌转阴、HBV-DNA转阴患者占比高于对照组(P<0.05);治疗后,2组谷丙转氨酶(ALT)、谷草转氨酶(AST)、总胆红素(TBIL)水平高于治疗前,白细胞介素-2(IL-2)、IL-6、IL-8、肿瘤坏死因子-α(TNF-α)水平低于治疗前,观察组低于对照组(P<0.05);治疗1、3、6个月时IFN-γ水平高于治疗前,观察组低于对照组,2组时点、组间比较差异具有统计学意义(P<0.05);治疗1、3、6个月时观察组HBV-DNA水平相较于治疗前逐步降低,而对照组HBV-DNA水平相较于治疗前升高,观察组低于对照组,2组时点、组间比较差异具有统计学意义(P<0.05);治疗1、3、6个月时SSS评分高于治疗前,但观察组低于对照组,2组时点、组间比较差异具有统计学意义(P<0.05);双变量相关性Pearson分析结果显示,IFN-γ水平与HBV-DNA阳性初治肺结核患者ALT、AST、TBiL、SSS评分呈正相关(r>0,P<0.05);2组不良反应发生率比较差异无统计学意义(P>0.05)。结论 HBV-DNA阳性初治肺结核经抗病毒联合抗结核治疗能够有效提升临床治疗效果,降低机体炎症及HBV-DNA水平,避免肝脏损伤,稳定肝功能,且不会增加患者发生不良反应的风险。

ICP-MS半定量分析技术在食品安全领域的研究进展

电感耦合等离子体质谱(Inductively Coupled Plasma-Mass Spectrometry,ICP-MS)半定量分析技术,具有操作便捷、分析速度快的特点,可对样品中70种以上元素进行同时检测,且在无内标及全目标元素标准物质的条件下,就能实现对样品中未知元素的快速定性与浓度范围界定。该技术尤其适用于应对食品安全领域的突发事件,能够迅速识别污染元素,并为后续精确分析提供详尽、综合的数据支持。本文深入探讨ICP-MS半定量分析技术在食品安全检测中的应用现状,旨在提升该技术在保障食品安全领域的科学应用与研究水平。

Semi-LC/MS技术快速定量分析黄芪样品中黄芪甲苷含量

为了测定黄芪中的黄芪甲苷含量,应用半高效液相色谱-质谱串联技术(Semi-LC/MS),以薯蓣皂苷为内标化合物,仅用一段色谱保护柱分离掉大部分干扰性成分,同时使目标化合物富集,采用Waters公司的多反应监测(MRM)扫描模式检测。结果表明:黄芪甲苷在2.85～57.0mg/L的范围内线性关系良好,稳定性和重复性实验RSD<3%,样品回收率达98.9%。Semi-LC/MS方法可以对黄芪样品中黄芪甲苷进行快速定量分析,是一种黄芪甲苷的简单、高效、灵敏的定量检测方法。

闭锁连接蛋白-1 核酸适配体的筛选与初步应用

基于配体指数富集系统进化技术筛选闭锁连接蛋白-1的核酸适配体,最终筛选到15条ZO-1的核酸适配体(APTZO-1).排除线性结构与相似结构后,采用酶联免疫吸附法表征了9条APTZO-1与ZO-1亲和力的大小,排序依次为:APTZO-18>APTZO-12>APTZO-17>APTZO-113>APTZO-11>APTZO-15>APTZO-115>APTZO-112>APTZO-14.采用Cy5荧光基团标记APTZO-18(Cy5-APTZO-18),证实了其能对人结直肠腺癌细胞(Caco-2)与人脑微管内皮细胞(hCMEC/D3)的ZO-1进行荧光定位与半定量分析,且与基于ZO-1抗体法的免疫荧光与蛋白印迹实验结果基本相似.本研究首次筛选到了ZO-1的系列核酸适配体,有望为ZO-1的荧光标记与半定量分析提供一种新型的、特异性高的工具分子.

DCE-MRI半定量参数联合ADC值对子宫恶性肿瘤的诊断价值

目的:评估动态对比增强磁共振成像(DCE-MRI)半定量参数联合表观弥散系数(ADC)对子宫良恶性病变的鉴别诊断价值。方法:对34例共38个子宫肿瘤患者术前行MRI平扫、DCE-MRI及弥散加权成像(DWI)扫描,对病灶进行后处理获得DCE-MRI半定量参数:相对强度(RE)、最大相对增强率(MRE)、最大强度(ME)、达峰时间(TTP)、流出速率(WOR)、流入速率(WIR)、短暂增强时间(BOE)以及表观弥散系数(ADC),采用独立样本t检验比较各参数,并采用受试者工作特征(ROC)曲线计算各参数诊断子宫恶性肿瘤的最佳阈值。结果:恶性病变15个,良性病变23个,两组病变的半定量参数WOR、TTP及ADC值的差异有统计学意义(P<0.05),两组病变的半定量参数RE、ME、MRE、WIR、BOE的差异无统计学意义(P>0.05)。ROC曲线分析结果显示ADC值与TTP具有较好的诊断效能,而半定量参数(WOR、TTP)联合ADC值使诊断效能大大增加。结论:DCE-MRI半定量参数WOR、TTP及ADC值对诊断子宫恶性肿瘤具有较高的价值,半定量参数(WOR、TTP)联合ADC值诊断效能最高。

环境空气中的28种异味物质罐采样-气相色谱质谱法定量及半定量分析方法的建立

本文建立了28种环境空气中异味物质采用罐采样-气相色谱质谱分析方法,该方法在1—20 nmol·mol^(−1)范围内线性良好,方法检出限为0.001—0.03 nmol·mol^(−1),方法性能指标满足精确定量要求.将28种异味物质和4种内标相关信息导入生成专用异味数据库,该数据库包含保留指数、气味阈值、气味描述、校准曲线等信息,可实现无标准品时对环境空气中异味物质进行半定量筛查.通过标准品和厂界环境空气实际样品进行验证,采用精确定量和数据库半定量,结果差异均在可接受范围.

DCE-MRI半定量参数在同时累及宫体宫颈的宫颈癌与子宫内膜癌中的鉴别诊断价值

目的 探讨评估DCE-MRI半定量参数在同时累及宫体宫颈的宫颈癌与子宫内膜癌中的鉴别诊断价值。方法 选取81例经活检或术后病理证实的同时累及宫体宫颈的宫颈癌/子宫内膜癌患者,其中48例为宫颈癌,33例为子宫内膜癌,分析两种疾病的时间-信号强度曲线(TIC)类型、半定量参数(峰值时间、斜率值、强化率、廓清率)。结果 宫颈癌的曲线斜率值、强化率高于子宫内膜癌(P<0.05);宫颈癌的廓清率小于子宫内膜癌(P<0.05);宫颈癌和子宫内膜癌的曲线类型、峰值时间差异无统计学意义。结论 DCE-MRI半定量参数可用于同时累及宫体宫颈的宫颈癌与子宫内膜癌的鉴别诊断,宫颈癌的曲线斜率值、强化率高于子宫内膜癌,宫颈癌的廓清率小于子宫内膜癌。

乳腺DCE-MRI定量和半定量参数、ADC值与良恶性肿瘤的关系

目的探讨乳腺动态增强MRI(DCE-MRI)的定量参数、半定量参数和表观扩散系数(ADC)值与良恶性肿瘤的相关性。方法选取2021年8月~2023年4月期间在我院接受诊治的乳腺肿瘤患者144例。所有患者均行乳腺DCE-MRI检查,测量其定量参数容积转运常数(K^(trans))、速率常数(K_(ep))、血管外细胞外间隙容积比(V_(e));半定量参数对比增强比率(CER)、增强曲线下初始面积(IAUGC)、最大增强斜率(Max Slope);ADC值;所有病例均经病理学确诊。使用SPSS 21.0统计软件分析上述变量与乳腺良恶性肿瘤的相关性。结果乳腺良性肿瘤67例、恶性肿瘤77例;恶性肿瘤组K^(trans)、K_(ep)、IAUGC、Max Slope分别为0.660±0.361、1.097±0.778、0.596±0.394、0.048±0.073,均显著高于良性肿瘤组0.208±0.082、0.295±0.135、0.157±0.102、0.015±0.014(P<0.05);恶性肿瘤组V_(e)(0.692±0.234)、ADC值(1.027±0.262)显著低于良性肿瘤组0.789±0.203、1.327±0.380(P<0.05);恶性肿瘤组CER(2.755±0.650)与良性肿瘤组(2.612±0.962)无显著差异(P>0.05)。K_(ep)、K^(trans)、V_(e)、IAUGC、Max Slope、ADC值的AUC分别为0.954、0.947、0.577、0.942、0.898、0.708;K^(trans)、K_(ep)、V_(e)组合的AUC为0.967;IAUGC、Max Slope组合的AUC为0.968;K^(trans)、K_(ep)、V_(e)、IAUGC、Max Slope组合的AUC为0.987;K^(trans)、K_(ep)、V_(e)、ADC值组合的AUC为0.966;IAUGC、Max Slope、ADC值组合的AUC为0.968。结论DCE-MRI定量参数K^(trans)、K_(ep)、V_(e)和半定量参数IAUGC、Max Slope以及ADC值对乳腺良恶性肿瘤的诊断与鉴别诊断具有重要参考价值。

丹江口水库表层水体无机元素的ICP-MS快速筛查法

目的:采用ICP-MS半定量和全定量联合分析法快速筛查丹江口水库表层水体中无机元素。方法:将水样经0.22μm膜过滤后,采用ICP-MS半定量分析方法对样品进行全元素的扫描和浓度预估;利用全定量分析方法对样品中经半定量筛查出的含量较高或有毒、有害的元素进行定量测定。结果:半定量分析结果表明Na、Mg、Si、K、Zn浓度在10~100μg/L之间,Si、Tl、Fe、Ga、Sr、Cl、V、Cr、Mn、Ni、Cu、Se、Br、Mo、Ba浓度在0.1~10.0μg/L之间,其他元素浓度均在0.1μg/L以下或未检出;全定量结果显示Cr、Mn、Ni、Cu、As、Mo、Cd、Sb、Tl和Pb共10种《生活饮用水卫生标准(GB 5749-2006)》限制元素远远低于参考限值,符合标准。结论:相比单一的分析模式,全定量和半定量联合分析能够更快、更全面地获取元素信息,能更好地为水体无机元素筛查、尤其是应急检测提供参考。