GIS-Hydrogeochemical Model of the YaoundéFractured Rock Aquifer, Cameroon: Aquifer Setting, Seasonal Variations in Groundwater-Rock Interaction and Water Quality

This study of the gneiss-fractured-rock aquifer in Yaoundé capital of Cameroon determines: the aquifer setting-flow systems, the aquifer type, seasonal variations in rock-water interactions, evolution of the hydrogeochemical processes, physicochemical parameters and the suitability for domestic-agro-industrial use of the groundwater. Physicochemical field tests were carried out on 445 wells during four seasons for EC, pH, TDS, Temperature and static water level from July 2016 to May 2017. 90 well samples were analyzed 45 samples per season: wet/dry. 38 borewell logs were used together with structural data to determine the aquifer setting. The field physico-chemical and laboratory analysis data of well samples were mounted unto various GIS software platforms: Global mapper, AqQa, Aquachem, Rockworks, Logplot7, Surfer and ArcGIS, to get indices/parameters/figures, by use of Durov’s, Piper’s and Gibbs diagrams, Water quality index WQI, USSL ratio, Sodium Absorption ratio SAR, Percent sodium %Na, Kelly Ratio KR, Magnesium Absorption Ratio MAR, Total Hardness TH, Residual Sodium Carbonate RSC and Permeability Index PI that were determined. The process of groundwater ions acquisition is three-fold: by recharge through atmospheric precipitation, by ion exchange/simple dissolution between the rock-groundwater and by groundwater mixing in its flow path. Water types are Ca-HCO3, Mg-HCO3 and Mg-Cl while hydrogeochemical facies are Ca-Mg-HCO3 and Ca-Mg-Cl-SO4. Most water samples are fresh, potable and soft all seasons. The hydrogeological conceptual model is that of a three-layered single phreatic fractured-rock-aquifer while other researchers postulated a two-aquifer, phreatic and semi-confined, two-layered model.

Interactive multiobjective optimization using dominance-based rough set approach

We present main ideas of a recently proposed method for interactive multiobjective optimization,which is based on application of a logical preference model built using the Dominance-based Rough Set Approach(DRSA).

Verification of the Interaction between SET and eEF1A1 in Human Liver Cells by Co-immunoprecipitation

[Objective] The aim was to investigate the possible interaction between SET and eEF1A1 in human liver cells. [Method] Firstly the total proteins of human L-02 liver cells were extracted under non-denaturing conditions; then,mouse anti-human SET and rabbit anti-human eEF1A1 antibodies were used to perform the co-immunoprecipitation respectively; subsequently,the immunoprecipitations was correspondingly detected with rabbit anti-human eEF1A1 and mouse anti-human SET antibodies by Western Blot. [Result] EEF1A1 was detected in protein complex from the immunoprecipitations by using anti-SET antibody,and SET also was detected in immunoprecipitations by using anti-eEF1A1 antibody. [Conclusion] The interaction between SET and eEF1A1 in human liver cells was confirmed.

Interactive group decision making procedure based on uncertain multiplicative linguistic preference relations

Group decision making problems are investigated with uncertain multiplicative linguistic preference relations.An unbalanced multiplicative linguistic label set is introduced,which can be used by the experts to express their linguistic preference information over alternatives.The uncertain linguistic weighted geometric mean operator is utilized to aggregate all the individual uncertain multiplicative linguistic preference relations into a collective one,and then a simple approach is developed to determine the experts＇ weights by utilizing the consensus degrees among the individual uncertain multiplicative linguistic preference relations and the collective uncertain multiplicative linguistic preference relations.Furthermore,a practical interactive procedure for group decision making is proposed based on uncertain multiplicative linguistic preference relations,in which a possibility degree formula and a complementary matrix are used to rank the given alternatives.Finally,the proposed procedure is applied to solve the group decision making problem of a manufacturing company searching the best global supplier for one of its most critical parts used in assembling process.

Interactive Image Enhancement by Fuzzy Relaxation

In this paper, an interactive image enhancement （HE） technique based on fuzzy relaxation is presented, which allows the user to select different intensity levels for enhancement and intermit the enhancement process according to his/her preference in applications. First, based on an analysis of the convergence of a fuzzy relaxation algorithm for image contrast enhancement, an improved version of this algorithm, which is called FuzzIIE Method 1, is suggested by deriving a relationship between the convergence regions and the parameters in the transformations defined in the algorithm. Then a method called FuzzIIE Method 2 is introduced by using a different fuzzy relaxation function, in which there is no need to re-select the parameter values for interactive image enhancement. Experimental results are presented demonstrating the enhancement capabilities of the proposed methods under different conditions.

Effects of tide-surge interaction and wave set-up/set-down on surge: case studies of tropical cyclones landing China's Zhe-Min coast

Storm surge along the China＇s Zhe-Min coast is addressed using the tightly coupled surge model ofADCIRC＋SWAN. In this study, we primarily focus on the effects of surge-tide interaction and waveset-up/set-down. And the influences of intensity and landing moment of tropical cyclone （TC） arealso presented. The results show that： water elevation without considering tide-surge interactiontends to be underestimated/overestimated when TC lands during astronomical low/high tide;tide-surge coupling effect is more pronounced north of TC track （more than 0.7 m in our cases）;irrelevant to TC＇s intensity, wave set-up south of TC track is negligible because the depth-relatedwave breaking doesn＇t occur in water body blown towards open seas.

用Level Set方法对水下两个气泡运动的数值模拟

利用Level Set方法,三维数值模拟了两个气泡的上升运动.通过改变气泡尺寸及位置,研究气泡对在上升过程中的尾迹流及其相互作用规律.数值模拟准确再现了气泡对的变形、吸引或排斥行为,气泡上升速度计算结果与经验关联式结果吻合;气泡周围的速度场揭示了两个气泡尾迹流的流体动力学作用;对于水平或垂直放置的气泡对,当下方气泡有大于50%的投影面积进入到上方气泡的尾流区时,两个气泡将发生聚并现象.

基于SET分析法的居家养老交互产品系统设计研究

随着我国老龄化趋势的日益严峻,居家养老交互产品作为解决空巢独居老人生活问题的新方法受到社会的广泛关注。通过对空巢独居老人的深入调研,在了解其身心状态、情感需求和现有居家养老服务模式后,明确了目前居家养老中的SET(社会-经济-技术)的服务缺口。在此基础上,通过对SET缺口的深入分析,提出了居家养老交互产品系统设计原则,进而建立了养老关怀交互产品系统平台架构。最后通过穿戴式产品、老人端手持APP与子女端手持APP的具体设计,完善了居家养老交互产品系统。为实现空巢独居老人生活服务缺口的完善提供了理论依据与发展方向,也为相关领域的研究拓宽了思路。

利用免疫共沉淀技术验证SET与eEF1A1在人肝细胞内的相互作用

[目的]探讨SET与eEF1A1在人肝细胞内是否存在相互作用。[方法]以人L-02肝细胞为材料,在非变性条件下提取总蛋白,将鼠抗人SET、兔抗人eEF1A1抗体分别加到总蛋白提取物中,用偶联了琼脂糖珠的Protein A/G分离抗原抗体复合物,最后分别用兔抗人eEF1A1、鼠抗人SET抗体进行Western blotting检测。[结果]在用SET抗体免疫共沉淀下来的蛋白复合物中检测到eEF1A1,同时在用eEF1A1抗体免疫共沉淀下来的蛋白复合物中也检测到SET。[结论]SET与eEF1A1在人肝细胞内存在相互作用。

SET结合蛋白调控SET表达的机制及意义

Set(patient SE translocation)在1992年以set-can融合基因的形式为人们所知,其参与调控DNA复制、核小体装配、组蛋白修饰、DNA转录和细胞凋亡等多个生物过程,并作为原癌基因促肿瘤发生。SET蛋白在多种组织细胞中广泛表达;在肾上腺及性腺的类固醇合成细胞中,能够通过抑制蛋白磷酸酶2(PP2A),正向调控细胞色素P450 17α羟化酶(P450c17)的裂解酶活性,最终促进雄激素的合成。SET蛋白的丝氨酸(Ser)位点磷酸化介导SET的胞质聚集,并增强SET与下游蛋白的结合力,在阿尔茨海默病(AD)、肿瘤发生等多种病理过程中发挥作用。现已发现的SET结合蛋白,功能涉及代谢、信号传导、核酸转录及翻译等多种生物学过程。已有很多研究着眼于SET结合蛋白,从而发现了SET新的生物学功能。多种肿瘤抑制剂通过与SET结合使SET蛋白失活,提高PP2A活性,最终抑制肺癌、乳腺癌等多种肿瘤的生长和转移。综述SET蛋白结构、磷酸化及SET相互作用蛋白,并总结以SET为靶向标记的抗肿瘤药物。

Ab Initio Molecular Orbital Calculation on Dinuclear Gold(Ⅰ) Complexes──Metal-Metal Interaction and Electronic Structure of Binuclear Gold(Ⅰ) Complexes with Bridging Bidentate Ligands

The electronic structure and electronic absorption spectra of binuclear Au(Ⅰ) complexes with bidentate phophines and a bidentate ylid ligand have been studied using quasirelativistic pseudopotential ab initio calculations at the HF and MP2 levels by the LANL2DZ basis sets. The electronic properties of the spectral transition and Au(Ⅰ)—Au(Ⅰ) interaction were also discussed.

Performance Research on Magnetotactic Bacteria Optimization Algorithm with the Best Individual-Guided Differential Interaction Energy

Magnetotactic bacteria optimization algorithm (MBOA) is a new optimization algorithm inspired by the characteristics of magnetotactic bacteria, which is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. The original Magnetotactic Bacteria Optimization Algorithm (MBOA) and several new variants of MBOA mimics the interaction energy between magnetosomes chains to obtain moments for solving problems. In this paper, Magnetotactic Bacteria Optimization Algorithm with the Best Individual-guided Differential Interaction Energy (MBOA-BIDE) is proposed. We improved interaction energy calculation by using the best individual-guided?differential interaction energy formation. We focus on analyzing the performance of different parameters settings. The experiment results show that the proposed algorithm is sensitive to parameters settings on some functions.

A model study on the stacking interaction of phenanthroline ligand with nucleic acid base pairs: An ab initio, MP2 and DFT studies

The stacking of phenanthroline(phen) ligand within base pair sequences is one of the important factors for the stabilization of metalphen complex within DNA. The stacking ability of this ligand has been assessed to deduce the base pair selectivity as well as to identify the favored region of intercalation. Different level of theories have been used to predict the favorable regions for stacking interaction of phen ligand with base pair, but the results of MP2/6-31+G(d,p) is found to be reasonably good for monitoring such interactions.

用户感性偏好导向的智能语音交互设计评价方法

用户感性偏好是智能语音交互设计的重要依据,为解决评价过程中存在的用户实际决策行为与其感性评价结果不一致的问题,提出了一种用户感性偏好导向的直觉模糊锚定评价方法。首先,采用直觉模糊集表征用户对智能语音交互设计的感性偏好信息,以充分描述用户偏好的模糊性与不确定性。其次,将最优最劣思想融入序数优先级方法以确定权重,在保证运算过程简便性的同时,克服了该方法在排序方面存在的缺陷。再次,从数理角度刻画了锚定效应在评价过程中的作用机制,并将锚定效应融入智能语音交互设计评价方法,就其对最终评价结果的影响进行量化分析。最后,以某智能车载系统语音交互设计为例,验证该方法有助于提高预测用户实际决策结果的准确性和可信度。

基于特征交互的层次分类在线流特征选择

在开放动态环境下的分类学习任务中,数据特征空间具有动态性,标记空间存在层次化结构.现有的层次分类在线流特征选择算法可以选择较优的特征子集,但这些算法忽略了特征之间存在的交互作用.基于此,提出了一种基于特征交互的层次分类在线流特征选择算法.首先,设计了一种基于层次邻域依赖度去判断特征交互的计算方法;其次,针对层次化结构数据,根据层次结构中不同节点间的兄弟关系定义邻域粗糙集模型;最后,设计了具有在线重要性分析、在线冗余性分析以及在线交互性分析的层次分类在线流框架,用于选择强相关和存在交互作用的特征子集.在6个层次数据集上的实验验证了所提算法具有较优的综合性能.

基于模糊认知图的智能汽车驾驶权交互决策建模方法

针对人机共驾中的由自动驾驶接管到驾驶人接管切换的动态问题,提出一种基于模糊认知图(fuzzy cognitive map,FCM)的驾驶权交互决策模型。首先分别分析影响驾驶风险的车辆和人的动态风险因素,并选取车距、加速度、方向盘转向熵、驾驶员眼动信息、心脑电波信息等相关影响指标构建基于FCM的车辆动态风险模型与人的动态风险模型,再结合环境因素,车辆状况以及驾驶员水平构建基于FCM的驾驶员交互决策模型。为降低对专家知识的依赖,运用基于实数编码的遗传算法(real coded genetic algorithm,RCGA)对模型进行优化,进一步提高模型决策的准确性。仿真结果表明,经RCGA优化后模型适应度值达到0.979,可见该模型能够较好地应对动态、复杂的驾驶环境。

考虑送受端故障传递的直流落点优选指标及方法

随着我国高压直流线路投运数量增加,直流送受端故障传递问题显现,对送受端电网安全稳定运行造成严重影响,然而现有直流规划研究对送受端故障传递问题缺乏考虑。为此,该文提出一种应对送受端故障传递的直流落点优选指标及送受端落点优选方法。首先,分析交直流叠加交互作用下的送受端故障传递过程,提出反映交直流叠加交互的交直流叠加交互因子和交直流短路比,从交流节点角度反映规划直流对送受端整体性和干扰性的影响;其次,提出反映送受端近区能源稳定性的送受端近区稳定系数、反映送受端故障传递程度的多直流功率冲击能量和模糊指标换相失败脉冲频次;然后,构建一种基于Vague集满意度界限改进的直流送受端落点优选方法,实现对优选指标的准确处理;最后,基于西北-华东互联多直流送受端电网进行仿真分析,验证该文所提指标和方法能从规划层面有效缓解送受端故障传递问题。

早期功能锻炼联合互动达标理论在乳腺癌根治术患者中的应用

目的探讨乳腺癌根治术患者应用早期功能锻炼联合互动达标理论的效果。方法选取2021年1月至2023年12月在联勤保障部队第九九〇医院行乳腺癌根治术的65例患者,以随机数字表法分成干预组(n=32)与对照组(n=33),对照组采用常规功能训练,干预组采用早期功能锻炼联合互动达标理论干预,比较两组肩关节活动度、肩关节功能、生活质量。结果两组干预3个月后肩关节活动度提高,且干预组高于对照组,差异有统计学意义(P<0.05);两组干预3个月后美国加州肩关节功能评分量表(UCLA)评分升高,且干预组高于对照组,差异有统计学意义(P<0.05);两组干预3个月后简明健康生活状况量表(SF-36)评分升高,且干预组高于对照组,差异有统计学意义(P<0.05)。结论早期功能锻炼联合互动达标理论应用于乳腺癌根治术患者中,能够提高肩关节活动度,促进肩关节功能恢复,改善生活质量。

基于fsQCA方法的车载多屏信息系统交互设计

文章基于模糊集定性比较分析法,对车载多屏信息系统用户体验影响因素进行构型分析,提取影响驾驶体验的交互设计特征。通过用户测试,在驾驶情境下测试12项非驾驶相关任务,任务完成后对用户进行满意度调研及非结构性访谈,探索不同设计特征的组合对驾驶体验的影响。研究发现并实践了3条提升用户满意度的设计特征组合,结果显示车辆控制类低频需求任务效率提升能有效提升满意度,抬头显示器对提升媒体娱乐类任务的用户体验具有关键作用。

新疆巴楚辉绿岩岩脉的岩石成因和大地构造意义

塔里木盆地西北部巴楚地区出露的二叠纪基性岩脉为研究塔里木盆地及其邻区晚古生代区域大地构造演化提供了重要信息。巴楚地区基性岩脉中辉绿岩脉富集大离子亲石元素、轻稀土元素以及高场强元素,La/Nb=0.84～1.23,Zr/Nb=5.80～7.81,Ce/Pb=2.6～15.4和 Nb/U=27.0～37.3,初始^(87)Sr/^(86)Sr=0.70495～0.70560,ε_(Nd)(t)=-1.7～+2.0,明显不同于受俯冲交代地幔源区的产物,也区别于典型洋岛玄武岩(OIB),相反具有 OIB 型+富集岩石圈地幔的元素-同位素地球化学特征,能被理解为与二叠纪软流圈和岩石圈相互作用产物,其起源与软流圈地幔上涌有关,表明二叠纪时巴楚地区应处于软流圈上隆的岩石圈伸展构造背景。结合区域地质资料。