石油资源预测中的潜信息损失及其潜方法研究

本文对石油资源预测评价中的多方面性和多层次性进行了分析,对石油地质专家的不确定性知识和定性规律作了研究,在描述专家思维知识的过程中指出了思维过程和描述过程的潜在信息损失.提出,深入探讨专家的知识结构、思维特征,认真总结石油预测中的定性规律和信息传递,将有利于石油地质从定性为主的经验描述走向定性和定量相结合的科学描述,有利于引进一些新思想、新方法来武装石油地质学.

基于潜在类别分析方法对遗忘型轻度认知功能障碍证候规律的研究

目的:采用潜在类别分析(Latent Class Analysis,LCA)方法研究遗忘型轻度认知功能障碍(amnestic Mild Cognitive Impairment,aMCI)的证候规律。方法:采用调查问卷的方式,对沈阳市2家三级甲等性医院及6家养老中心进行筛查,经纳排标准筛选后纳入符合aMCI诊断标准的老年样本共300例。收集患者基本资料和临床症状学资料建立数据库,以频数分析方法研究患者在aMCI的症状分布情况,再通过潜在类别分析方法,得出aMCI核心的中医证候类型。结果:排在前15位的症状是:善忘、智能减退、反应迟钝、头晕、乏力、腰膝酸软、失算、神疲、尿频、大便干、胸闷、耳鸣、气短、心烦、口干。经LCA分析后,可根据专业知识将aMCI中医证型分为6个潜在的类别,肝肾不足证占34.33%、心脾两虚证占21.33%、痰浊蒙窍证占14.00%、肝郁气滞证占12.00%、脾肾阳虚证占11.33%、肾精不足证占7.00%。结论:aMCI涉及多脏腑的功能失调,以肝肾心脾为核心,痰浊、气郁为标,呈现出本虚标实的证候特征。

六种基于能量的潜在蒸散发估算方法在海河流域的适用性

潜在蒸散发是一个综合性气候因子,是流域水文循环模拟的主要输出量。针对现存潜在蒸散发量估算方法的适用性分析不够全面的问题,基于海河流域45个国家气象台站1960-2010年日气象数据序列,以Penman-Monteith方法估算量和蒸发皿蒸发量为基准,从潜在蒸散发估算量与蒸发皿蒸发量的相关性、年均值空间变化特征、年内四季空间变化特征和年际变化趋势四个方面,探讨了六种基于能量的潜在蒸散发估算方法的适用性。结果表明,Penman-Monteith方法在整个流域具有较强的适用性;六种基于能量方法中,Doorenbos-Pruitt方法、Makkink方法、Hargreaves方法估算效果较好。

促进自体动静脉内瘘成熟的潜在药物治疗方法

自体动静脉内瘘(autogenous arteriovenous fistula,AVF)是血液透析的首选血管通路,但内瘘建立后原发失败率高,主要表现为静脉新内膜增生(neointimal hyperplasia,NIH),因此抑制NIH、改善内瘘通畅性是促进AVF成熟的主要挑战。本文综述了AVF的病理生理学,总结了抑制AVF静脉新内膜增生、促进内瘘成熟的潜在治疗方法。

潜变量交互效应分析方法

简要回顾了分析显变量交互效应的常用方法。详细讨论了目前分析潜变量交互效应的主要方法，包括用潜变量的因子得分做回归分析、分组线性结构方程模型分析、加入乘积项的结构方程模型分析和两步最小二乘回归分析，并比较和评价了这些方法的优缺点。最后归纳了潜变量交互效应分析方法的研究趋势，并介绍了新近进展（包括LMS方法和GAPI方法）。

随机模型预测潜水位动态变化的方法

大气水、地表水和地中水在地球表层不断转化的机理研究一直是水循环和水均衡研究的主要内容 .针对地下水资源评价中的关键问题之一———大气水和地下水之间的转化 ,利用泊松模型讨论了包气带中水分垂直运移的机理以及潜水位动态变化预测方法 ,并计算了地形坡度很小平原地区的潜水位 ,以及预测潜水位动态变化 ,模拟结果与实际监测资料相吻合 .

基于潜在低秩表示及导向滤波的红外与可见光图像融合方法

针对红外与可见光图像融合过程中出现的细节损失严重等问题,提出一种基于潜在低秩表示与导向滤波的红外与可见光图像融合方法.首先,采用潜在低秩表示方法将源图像分解为低秩图层和显著图层,为了更多地提取低秩图层中细节信息,采用导向滤波将低秩图层分解基础图层和细节图层;并针对基础图层、细节图层和显著图层的特性,分别采用视觉显著度加权法、梯度显著度加权法、绝对值最大选择法作为融合规则.特别地,为了解决初始权重具有噪声且不与物体边界对齐问题,采用导向滤波优化初始权重.最后,将基础融合图层、细节融合图层和显著融合图层经叠加运算得到融合图像.通过对比多组融合图像主、客观评价结果表明,该方法能有效挖掘源图像的细节信息,在视觉质量和客观评价方法优于其他图像融合方法.

新冠疫情下居民社区团购行为的异质性——基于潜类别分析的方法

文章以居民社区团购消费者作为研究对象,在永州市一市八县两区发放问卷并开展社会调查获取研究数据,并以此数据作为研究主体,采用潜类别分析模型(LCM)和多元logistic回归模型探索新冠疫情下居民社区团购行为的异质性及其影响因素。研究发现:永州市居民社区团购消费行为可分为无感型消费者、中间型消费者、倾向型消费者。将倾向型消费者作为参照组,发现无感型消费者在年龄上略微小于倾向型消费者,且具有稳定工作和高收入,居住地周围有大型购物商场的群体特征,商品种类丰富、价格实惠、配送服务好的优势并没有吸引到该群体参与社区团购;中间型消费者具有中高学历,中高收入特征,居住地周围有中小型超市的群体特征,可能会因为周围没有大型的商场而参与社区团购,也可能因为社区团购种类较为丰富而适时参与其中。

原子荧光光谱法测定地质样品中As、Sb、Bi、Hg——需要注意的问题及解决方法

通过总结实际工作及查阅文献,分析了样品制备、酸度、硼氢化钾浓度对As、Sb、Bi、Hg测定的准确性及灵敏度的影响,确定了仪器测定过程中负高压、载气流量、原子化器高度及温度、元素干扰对测定结果的影响,并总结了在日常测定过程中仪器故障排除、测量误差的控制及测量过程中潜在的问题及解决方法.

S Zorb装置闭锁料斗程控球阀可靠性维护策略研究

针对催化裂化汽油吸附脱硫(SZorb)装置闭锁料斗系统程控球阀故障导致闭锁料斗频繁跳停问题,采用潜在失效模式与效应分析方法(FMEA)分析程控球阀阀体、回讯器、执行机构、电磁阀子系统,并以可靠性为中心的维修(RCM)逻辑决断,制定出程控球阀各子系统的维护策略。现场应用表明:该策略提升了程控球阀的运行可靠性,减少了闭锁料斗系统非计划停运。

社会称许性对16PF测验因素结构的影响

本研究采用共同方法偏差控制法研究在应聘情境下,社会称许性(SD)因素是否存在于16PF测验的二级因素结构中,对人格测量产生影响,并探索SD对15个分量表的影响程度。结果表明:在应聘情境下,16PF的二级因素结构中存在SD因素,SD普遍对13个分量表有显著的影响,其中分量表C、Q4和G受到的影响较大,分量表A、E、F、M、NI、、Q1和Q2受到的影响较小。本研究为探索如何矫正SD对16PF人格测量的影响提供参考。

Study on the Feasibility of the Calculation Methods of Consolidating Rural Residential Land into Arable Land in China

Since the increasing demand for arable land and low efficient and disordered use of rural residential land,land consolidation for rural settlement has become a hot issue in China.Many Chinese scientists studied the topic from different angles.However,there is no reference systematically summarizing and discussing feasibility of consolidating rural residential land into arable land.The authors listed and analyzed the calculation methods of consolidating rural residential land into arable land,and discussed the feasibility and reasonability of those methods.Moreover,this paper put forward the study orientation in this regard for providing references for relevant researches.

Refracturing candidate selection for MFHWs in tight oil and gas reservoirs using hybrid method with data analysis techniques and fuzzy clustering

The selection of refracturing candidate is one of the most important jobs faced by oilfield engineers. However, due to the complicated multi-parameter relationships and their comprehensive influence, the selection of refracturing candidate is often very difficult. In this paper, a novel approach combining data analysis techniques and fuzzy clustering was proposed to select refracturing candidate. First, the analysis techniques were used to quantitatively calculate the weight coefficient and determine the key factors. Then, the idealized refracturing well was established by considering the main factors. Fuzzy clustering was applied to evaluate refracturing potential. Finally, reservoirs numerical simulation was used to further evaluate reservoirs energy and material basis of the optimum refracturing candidates. The hybrid method has been successfully applied to a tight oil reservoir in China. The average steady production was 15.8 t/d after refracturing treatment, increasing significantly compared with previous status. The research results can guide the development of tight oil and gas reservoirs effectively.

Virtual local target method for avoiding local minimum in potential field based robot navigation

A novel robot navigation algorithm with global path generation capability is presented. Local minimum is a most intractable but is an encountered frequently problem in potential field based robot navigation.Through appointing appropriately some virtual local targets on the journey, it can be solved effectively. The key concept employed in this algorithm are the rules that govern when and how to appoint these virtual local targets. When the robot finds itself in danger of local minimum, a virtual local target is appointed to replace the global goal temporarily according to the rules. After the virtual target is reached, the robot continues on its journey by heading towards the global goal. The algorithm prevents the robot from running into local minima anymore. Simulation results showed that it is very effective in complex obstacle environments.

A New Bioassay Method for Evaluation Allelopathic Potential of Rice Germplasm

Allelopathy was defined in 1996 by IAS （international allelopathy society） as any process involving secondary metabolites produced by plant, algae, bacteria and fungi that influences the growth and development of agricultural and biological systems. Rice allelopathy against weeds was reported since 1989, which offers an integrated weed management with substantially reduced herbicide usage. Application of allelopathic rice cultivars is thought a resources conservation and environmental friendly way of weed bio-control, and could promote the sustainable development of agriculture. Screening or evaluating the allelopathic potential rice variety is the first step. In this paper, a new bioassay method was set up by the allelopathic potential of 9 rice lines on the target weed barnyardgrass （Echinochloa crusgalli）, and comparing with bioassay methods such as relay seeding in filter paper （RSF） and relay seeding in agar （RSA）. The results indicated that three methods had a same tendency in evaluating the allelopathic potential of rice; there existed a significant difference among different bioassay methods, and an interaction between bioassay methods and rice lines. The method of root exudates （RE） with the highest value and a correlation efficiency of 0.98 was considered as ideal bioassay method for evaluation of allelopathic potential.

Solar Desalination with Latent Heat Storage Materials and Solar Collector

Availability of clean water is going to become one of biggest demands of the country. Even though there arc various technologies available for purification of water harnessing solar energy fits the purpose for future problems. Distillation is one of many processes available for water purification, and solar energy is one of several forms of heat energy that can be used to energize this process. In this review a study is made to enhance the productivity of the solar stills by connecting solar still with latent heat storage and solar air heater in series and other factors like improving evaporation rate by maintaining Low depth, more exposure area, heat addition by solar collector and presence of latent heat storage material, which is a paraffin wax as a integral part of still. Latent heat storage is one of the most efficient ways of storing thermal energy. Unlike the sensible heat storage method, the latent heat storage method provides much higher storage density, with a smaller temperature difference between storing and releasing heat. Further augmentation of the yield by scraps, pebble, and sand are added.

The coalbed methane production potential method for optimization of wells location selection

A gas production potential method for optimization of gas wellsite locations selection is proposed in terms of the coalbed gas resources volume and the recoverability. The method uses the actual data about reservoirs in a coalbed gas field in central China to optimize wellsite locations in the studied area in combination with the dynamic data about actual production in the coalbed gas field, selects a favorable subarea for gas wells deployment. The method is established based on the basic properties of coal reservoirs, in combination with the coalbed thickness and the gas content to make an analysis of the gas storage potential of a coal reservoir, as well as resources volume and the permeability of a coal reservoir. This method can be popularized for optimization of wellsite locations in other methane gas development areas or blocks.

Calculation of phase transformation latent heat based on cooling curves in end-quench test and its application in nickel-based superalloy

To obtain the phase transformation latent heat corresponding to different cooling rates with low test workload and cost,the Newton thermal analysis method and the improved Newtonian thermal analysis method were discussed based on the cooling curve obtained in the end-quench test.The validity of two methods was given by the latent heat calculation of 45^(#) steel.The results show that the relative error of latent heat is 5.20%through the improved Newtonian thermal analysis method,which is more accurate than the Newtonian thermal analysis method.Furthermore,the latent heat release of phase transformation of the self-designed CSU-A1 powder metallurgy nickel-based superalloy increases from 4.3 to 12.29 J/g when the cooling rate decreases from 50.15 to 33.40℃/min,because there is more sufficient time for the alloy microstructure to complete the phase transformation process when the cooling rate is smaller.

The potential motivational values of English proverbs and quotations in Chinese EFL tea ching

Although English proverbs and quotations are quite popular with language teachers and learners, and although there are sizeable body of research addressing the various aspects of English proverbs and quotations, their potential motivational values lacks theoretical support to date. This paper intends to explore the theoretical rationales for English proverbs and quotations to be a valuable tool for inspiring teachers and textbooks in Chinese EFL teaching. Based on QIN and WEN＇s conceptual model of motivation （2002） as well as teacher-specific and group-specific motivational theories, it analyzes the potential uses of English proverbs and quotations, with the conclusion that many English proverbs and quotations may serve to be an impetus as well as affective/cognitive mediators in the pre-actional and actional stages of learning, and may help to promote teacher-specific and group-specific motivational dynamics, which in turn benefit student achievement.

Fusing PLSA model and Markov random fields for automatic image annotation

A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to estimate the joint probability between images and semantic concepts,then a subgraph is extracted served as the corresponding structure of Markov random fields and inference over it is performed by the iterative conditional modes so as to capture the final annotation for the image.The novelty of our method mainly lies in two aspects:exploiting PLSA to estimate the joint probability between images and semantic concepts as well as multiple MRF to further explore the semantic context among keywords for accurate image annotation.To demonstrate the effectiveness of this approach,an experiment on the Corel5 k dataset is conducted and its results are compared favorably with the current state-of-the-art approaches.