mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Rock-soil slope stability analysis by two-phase random media and finite elements

To investigate the strong randomnature of the geometric interfaces between soil and rock, a rock-soil slope is considered as a two-phase randommedium. A nonlinear translation of a Gaussian field is utilized to simulate the two-phase randommedia, such that the soil (or rock) volume fraction and the inclination of the soil layer can be examined. The finite element method with random media incorporated as the material properties is used to determine the factor of safety of the rock-soil slope.Monte-Carlo simulations are used to estimate the statistical characteristics of the factor of safety. The failure mode of the rock-soil slope is examined by observing the maximumprincipal plastic strain at incipient slope failure. It is found that the critical surface of a rock-soil slope is fairly irregular, and it significantly differs fromthat of a pure soil slope. The factor of safety is sensitive to the soil volumefaction, but it is predictable. The average factor of safety could bewell predicted by the weighted harmonic average between the strength of soil and rock; the prediction model is practical and simple. Parametric studies on the inclination of the soil layer demonstrate that the most instable scenario occurs when the slope angle is consistent with the inclination of the soil layer.
Blast-induced rock damage control in Fangchenggang nuclear power station,China

In the process of blasting excavation,stress wave propagation and gas expansion can basically induce damage to surrounding rocks,which is detrimental to rock mass integrity and engineering safety.In this case,evaluation and control of blast-induced effects are essential to the safety of nearby buildings and integrity of bedrock in blasting field.In Fangchenggang nuclear power station of China,the drill-andblast method was employed for bedrock excavation.In order to reduce the blast-induced damage zone,the wave propagation and associated damage to rock mass should be carefully investigated.In this paper,the wave propagation regressively obtained from field monitoring data was presented based on empirical formula (e.g.Sadovsky formula).The relationship between the peak particle velocity (PPV) at a distance of 30 m away from the charge hole and charge per delay in blast designwas derived.Meanwhile,the acoustic tests before and after blasting were conducted to determine the damage depth of rock mass.The charge per delay in blast design was then calibrated based on the blast-induced wave propagation regularity.The results showed that a satisfactory effect was achieved on blast-induced damage control of rock mass.This could be helpful to rock damage control in similar blasting projects.
A discrete model for prediction of radon flux from fractured rocks

Prediction of radon flux from the fractured zone of a propagating cave mine is basically associated with uncertainty and complexity.For instance,there is restricted access to these zones for field measurements,and it is quite difficult to replicate the complex nature of both natural and induced fractures in these zones in laboratory studies.Hence,a technique for predicting radon flux from a fractured rock using a discrete fracture network (DFN) model is developed to address these difficulties.This model quantifies the contribution of fractures to the total radon flux,and estimates the fracture density from a measured radon flux considering the effects of advection,diffusion,as well as radon generation and decay.Radon generation and decay are classified as reaction processes.Therefore,the equation solved is termed as the advection-diffusion-reaction equation (ADRE).Peclet number (Pe),a conventional dimensionless parameter that indicates the ratio of mass transport by advection to diffusion,is used to classify the transport regimes.The results show that the proposed model effectively predicts radon flux from a fractured rock.An increase in fracture density for a rock sample with uniformly distributed radon generation rate can elevate radon flux significantly compared with another rock sample with an equivalent increase in radon generation rate.In addition to Pe,two other independent dimensionless parameters (derived for radon transport through fractures) significantly affect radon dimensionless flux.Findings provide insight into radon transport through fractured rocks and can be used to improve radon control measures for proactive mitigation.
Influence of groundwater drawdown on excavation responses - A case history in Bukit Timah granitic residual soils

Performances of a braced cut-and-cover excavation system for mass rapid transit (MRT) stations of the Downtown Line Stage 2 in Singapore are presented.The excavation was carried out in the Bukit Timah granitic (BTG) residual soils and characterized by significant groundwater drawdown,due to dewatering work in complex site conditions,insufficient effective waterproof measures and more permeable soils.A two-dimensional numerical model was developed for back analysis of retaining wall movement and ground surface settlement.Comparisons of these measured excavation responses with the calculated performances were carried out,upon which the numerical simulation procedures were calibrated.In addition,the influences of groundwater drawdown on the wall deflection and ground surface settlement were numerically investigated and summarized.The performances were also compared with some commonly used empirical charts,and the results indicated that these charts are less applicable for cases with significant groundwater drawdowns.It is expected that these general behaviors will provide useful references and insights for future projects involving excavation in BTG residual soils under significant groundwater drawdowns.
An extended J-integral for evaluating fluid-driven cracks in hydraulic fracturing

J-integral has served as a powerful tool in characterizing crack tip status.The main feature,i.e.pathindependence,makes it one of the foremost fracture parameters.In order to remain the pathindependence for fluid-driven cracks,J-integral is revised.In this paper,we present an extended J-integral explicitly for fluid-driven cracks,e.g.hydraulically induced fractures in petroleum reservoirs,for three-dimensional (3D) problems.Particularly,point-wise 3D extended J-integral is proposed to characterize the state of a point along crack front.Besides,applications of the extended J-integral to porous media and thermally induced stress conditions are explored.Numerical results show that the extended Jintegral is indeed path-independent,and they are in good agreement with those of equivalent domain integral under linear elastic and elastoplastic conditions.In addition,two distance-independent circular integrals in the K-dominance zone are established,which can be used to calculate the stress intensity factor (SIF).
Precipitation and soil particle size co-determine spatial distribution of biological soil crusts in the Gurbantunggut Desert, China

Biological soil crusts (BSCs) are bio-sedimentary associations that play crucial ecological roles in arid and semi-arid regions. In the Gurbantunggut Desert of China, more than 27% of the land surface is characterized by a predominant cover of lichen-dominated BSCs that contribute to the stability of the desert. However, little is known about the major factors that limit the spatial distribution of BSCs at a macro scale. In this study, the cover of BSCs was investigated along a precipitation gradient from the margins to the center of the Gurbantunggut Desert. Environmental variables including precipitation, soil particle size, soil pH, electrical conductivity, soil organic carbon, total salt, total nitrogen, total phosphorus and total potassium were analyzed at a macro scale to determine their association with differing assemblages of BSCs (cyanobacteria crusts, lichen crusts and moss crusts) using constrained linear ordination redundancy analysis (RDA). A model of BSCs distribution correlated with environmental variables that dominated the first two axes of the RDA was constructed to clearly demonstrate the succession stages of BSCs. The study determined that soil particle size (represented by coarse sand content) and precipitation are the most significant drivers influencing the spatial distribution of BSCs at a macro scale in the Gurbantunggut Desert. The cover of lichen and moss crusts increased with increasing precipitation, while the cover of cyanobacteria crusts decreased with increasing precipitation. The cover of lichen and moss crusts was negatively associated with coarse sand content, whereas the cover of cyanobacteria crusts was positively correlated with coarse sand content. These findings highlight the need for both the availability of soil moisture and a relatively stable of soil matrix, not only for the growth of BSCs but more importantly, for the regeneration and rehabilitation of disturbed BSC communities in arid and semi-arid lands. Thereby, this study will provide a theory basis to effectively increase soil stability in desert regions.
Source-independent wave-equation based microseismic source location using traveltime inversion

A new source location method using wave-equation based traveltime inversion is proposed to locate microseismic events accurately. With a sourceindependent strategy, microseismic events can be located independently regardless of the accuracy of the source signature and the origin time. The traveltime-residuals-based misfit function has robust performance when the velocity model is inaccurate. The new Frechet derivatives of the misfit function with respect to source location are derived directly based on the acoustic wave equation, accounting for the influence of geometrical perturbation and spatial velocity variation. Unlike the mostly used traveltime inversion methods, no traveltime picking or ray tracing is needed. Additionally, the improved scattering-integral method is applied to reduce the computational cost. Numerical tests show the validity of the proposed method.
3-D multi-parameter type traveltime tomography in a spherical coordinate frame: comparison of double and triple class simultaneous inversions

It is now common practice to perform simultaneous traveltime inversion for the velocity field and the reflector geometry in reflection/refraction tomography, or the velocity field and the hypocenter locations in regional earthquake tomography, but seldom are all three classes of model parameters updated simultaneously. This is mainly due to the trade-off between the different types of model parameters and the lack of different seismic phases to constrain the model parameters. Using a spherical-coordinate ray tracing algorithm for first and later (primary reflected) arrival tracing algorithm in combination with a popular linearized inversion solver, it is possible to simultaneously recover the three classes of model parameters in regional or global tomographic studies. In this paper we incorporate the multistage irregular shortest-path ray tracing algorithm (in a spherical coordinate system) with a subspace inversion solver to formulate a simultaneous inversion algorithm for triple model parameters updating using direct and later arrival time information. Comparison tests for two sets of data (noise free and added noise) indicate that the new triple-class parameter inversion algorithm is capable of obtaining nearly the same results as the double-class parameter inversion scheme. Furthermore, the proposed multi-parameter type inversion method is not sensitive to a modest level of picking error in the traveltime data, and also performs well with a relatively large uncertainty in earthquake hypocentral locations. This shows it to be a feasible and promising approach in regional or global tomographic applications.
CGPS: A machine learning-based approach integrating multiple gene set analysis tools for better prioritization of biologically relevant pathways

Gene set enrichment (GSE) analyses play an important role in the interpretation of large-scale transcriptome datasets. Multiple GSE tools can be integrated into a single method as obtaining optimal results is challenging due to the plethora of GSE tools and their discrepant performances. Several existing ensemble methods lead to different scores in sorting pathways as integrated results; furthermore, it is difficult for users to choose a single ensemble score to obtain optimal final results. Here, we develop an ensemble method using a machine learning approach called Combined Gene set analysis incorporating Prioritization and Sensitivity (CGPS) that integrates the results provided by nine prominent GSE tools into a single ensemble score (R score) to sort pathways as integrated results. Moreover, to the best of our knowledge, CGPS is the first GSE ensemble method built based on a priori knowledge of pathways and phenotypes. Compared with 10 widely used individual methods and five types of ensemble scores from two ensemble methods, we demonstrate that sorting pathways based on the R score can better prioritize relevant pathways, as established by an evaluation of 120 simulated datasets and 45 real datasets. Additionally, CGPS is applied to expression data involving the drug panobinostat, which is an anticancer treatment against multiple myeloma. The results identify cell processes associated with cancer, such as the p53 signaling pathway (hsa04115); by contrast, according to two ensemble methods (Enrichment-Browser and EGSEA), this pathway has a rank higher than 20, which may cause users to miss the pathway in their analyses. We show that this method, which is based on a priori knowledge, can capture valuable biological information from numerous types of gene set collections, such as KEGG pathways, GO terms, Reactome, and BioCarta. CGPS is publicly available as a standalone source code at ftp://ftp.cbi.pku. edu.cn/pub/CGPS_download/cgps-1.0.0.tar.gz.
Brown planthopper Nilaparvata lugens was concentrated at the rear of the typhoon Soudelor in Eastern China in August 2015

Sometimes, extreme weather is vital for the population survival of migratory insects by causing sudden population collapse or outbreak. Several studies have shown that rice planthopper migration was significantly influenced by typhoons in eastern Asia. Most typhoons occur in the summer, especially in August. In August, brown planthopper Nilaparvata lugens (St°al) migrates northward or southward depending on wind direction, and thus typhoons can potentially influence its migration process and population distribution. However, this has not yet been studied. This paper reported a case study on the effects of Typhoon Soudelor on the summer migration of N. lugens in eastern China in 2015. The migration pathways of N. lugens were reconstructed for the period under the influence of a typhoon by calculating the trajectories and migration events in eight counties of the Yangtze River Valley region with ancillary information. Trajectory modelling showed that most migrants took short distance migrations (less than 200 km) under the influence of the Typhoon Soudelor. Numerous N. lugens migrants were concentrated and deposited at the rear of the typhoon during the last 5 days of Typhoon Soudelor on August 9–13 due to horizontal convergence, and this led to an outbreak population. These results indicated that the N. lugens population was redistributed by the typhoon in the summer and that the population dynamics at the rear of a typhoon should be kept under close surveillance. This study provided insight into migratory organisms adapting to atmospheric features.
鼻咽癌合并顽固的“肝转移”

明确这一点后这个病例的诊治便豁然开朗,在最初诊断时两个影像学检查结论不一致时可考虑肝肿物穿刺,明确病理诊断,鉴别良恶性病变、双原发癌或寡转移瘤。若按照影像学检查诊断为鼻咽癌伴肝脏寡转移,根据“寡转移”理论,我们的治疗策略可考虑选择鼻咽癌同步放化疗+肝脏局部治疗,因为鼻咽癌同步放化疗比序贯化放疗对鼻咽局部肿瘤的控制更好,而且治疗时间相对较短,从而可为肝脏病灶的治疗节约时间,即使后面发现“肝转移灶”实为原发性肝细胞癌也不会耽误后续治疗。
ⅠB~ⅢA期非小细胞肺癌患者厄洛替尼对比安慰剂辅助治疗的疗效比较

EGFR-TKI在EGFR突变的晚期非小细胞肺癌(non-small cell lung cancer,NSCLC)患者的治疗中已确定了重要地位,但在辅助靶向治疗中的地位和价值,一直是研究者多年来想要探索的科学问题, 2017年年底CTONG1104结果的公布,证实了吉非替尼对比化疗能够显著提高Ⅱ~ⅢA期EGFR突变NSCLC患者的无病生存期(disease-free survival, DFS)。回顾辅助靶向TKI治疗这条艰辛之路,我们不得不提到2015年发表在《J Clin Oncol》上的RADIANT研究的结果。
Simulation of electromagnetic pulses generated by escaped electrons in a high-power laser chamber

Intensive electromagnetic pulses (EMPs) can be generated when a high-power laser strikes a target. The transient electromagnetic field can have an intensity of up to several hundred kV m -1 with a broad frequency of up to several gigahertz, which may affect diagnostics and interfere with, or even damage, electronic equipment. In this paper, the process in which hot electrons produced by the laser-target interaction radiate EMPs is studied and simulated. The physical process is divided into three stages which are: the production of hot electrons; the escape of hot electrons; and the generation of EMPs. Instead of using a general finite difference time domain (FDTD) method to solve the Maxwell equations, a particle-in-cell method together with a time-biased FDTD method is applied in EMP simulation to restrain high-frequency noise. The results show that EMPs are stronger with higher laser intensity and larger target size.
带观测器的FOC算法在电池散热风扇驱动器中的设计与应用

针对新能源汽车电池散热风扇的工作特点和要求,设计了一种能满足使用要求的风扇驱动控制器。驱动器设有稳压模块、过欠压保护模块、过热保护模块、逆变模块、FOC计算控制模块、过流保护模块和接口通讯模块,并采用带观测器的磁场定向矢量控制算法,以提高系统的鲁棒性。实验结果表明驱动器可使风扇稳定可靠工作,从而保障蓄电池正常散热,新能源汽车安全可靠行驶。
基于ABB码垛机器人跺型算法的应用分析

随着科学技术的发展,工业机器人技术已经渗透到了人类生活的各个领域,并将在未来发挥着越来越重要的作用。码垛是把物品按照一定规律码放成垛,使物品的存放、搬运、转移等工作变得单元化自动化,从而提高工作效率。在仓储物流行业中,码垛机器人的码垛算法影响机器人的行走路径,直接决定了机器人的码垛效率和货物吞吐量。因此,研究码垛机器人算法不但具有着重要的理论意义,而且具有更广泛的实用意义和应用前景。主要研究码垛机器人码垛放置算法,围着这一研究目标,将介绍两种常用的码垛机器人放置算法:即基于放置位置的码垛算法和基于栈板位置的码垛算法。首先从最简单的基于放置位置的码垛算法入手,并在此基础上提出基于栈板位置的码垛算法,然后,总结归纳两种算法特点,应用范围,适用要求。从而可以根据项目实际应用的要求,针对具体作业方案,选择具体算法。
永磁同步电机驱动的机器人哈密顿与PD协调控制

针对二自由度机器人关节驱动系统末端位置控制效果不佳的问题,提出了基于永磁同步电机(Permanent Magnet Synchronous Motor, PMSM)驱动的机器人哈密顿与PD加重力补偿协调控制。首先根据机器人欧拉-拉格朗日动力学方程,建立了机器人端口受控哈密顿(Port-controlled Hamiltonian, PCH)模型,求取机器人关节位置的PD控制器,设计协调控制策略,实现哈密顿与PD加重力补偿的协调控制。为使驱动电机系统具有较快的动态响应,关节驱动电机电流采用反步控制。利用Lyapunov稳定性定理对机器人与电机结合的控制系统进行了稳定性分析,证明了整个系统为渐近稳定。仿真结果表明,协调控制时机器人末端位置能够快速且准确的到达给定位置,并且在负载转矩发生变化时,末端位置能够重新回到给定位置,系统具有较好的负载转矩扰动抑制能力。
建构主义视域下中医实践教学内容体系的构建

为了改善中医实践教学现状,提高人才培养质量,在建构主义理念指导下,依据中医实践教学的特点,系统构建了包含基础性实践、综合性实践、创新性实践三个层次的实践教学内容体系模型,并以长春中医药大学中医学专业为例,构建了中医学专业实践教学内容体系,在教学实施过程中取得了良好效果,学生的创新实践能力有所提高,为中医药院校实践教学改革和实践教学内容体系构建提供参考和指导.
施用微肥对三七生长及有效成分积累的影响

目的探讨微量元素对三七生长的影响.方法对三七种苗和二年生三七( Panax notoginseng( Burk. ) F. H. Chen)进行盆栽及大田施四种微肥试验,研究微量元素对三七的生长动态、干物质积累规律及有效成份积累的影响.结果不同Cu、Mg、Zn、B配比对三七生长有显著影响,其中Cu含量过高不利于三七的生长及有效成分的积累,Cu、Mg、Zn、B均是在一定范围内能够促进产量的增加.结论施肥量过大均会抑制产量增长;四种微肥均不利于有效成分总含量的积累.
益生菌对儿童支气管哮喘控制及免疫调节作用研究

目的探究口服益生菌对儿童支气管哮喘的控制及免疫调节作用.方法选取2016年10月至2017年10月在河南省儿童医院东区医院呼吸科治疗的支气管哮喘患儿53例为研究对象.依据随机对照原则分为研究组(益生菌联合布地奈德治疗组)和对照组(单用布地奈德治疗组),比较两组研究对象的血白介素(IL)-4浓度水平、IgE浓度水平和干扰素(IFN)-γ水平,根据CD3+、CD4+、CD8+的百分比,CD4+/CD8+比值,临床症状评分,生活质量评分进行统计学分析.结果治疗后,研究组和对照组血浆IgE、IL-4表达水平、CD4+/CD8+比值和临床症状评分均较治疗前明显下降(P<0.05);IFN-γ表达水平和生活质量评分则明显上升(P<0.05);且研究组指标改善更加显著.结论在布地奈德喷雾剂治疗基础上加用口服益生菌对儿童支气管哮喘的控制较单用布地奈德更佳,且免疫调节效果更好.
Direct Measurement of CO_2 Retention in Arable Soils with pH Above 6.5 During Barometric Process Separation Incubation

The barometric process separation(BaPS) technique is a well-established incubation method to simultaneously measure gross nitrification and respiration rates in soil. Its application, however, is still critical in soils with pH above 6.5. Here, a substantial part of microbial CO_2 production is retained in soil solution(CO_(2,aq)) due to shifts in the carbonate equilibrium. This may lead to substantial errors in gas balance calculation. Yet, utilization of the BaPS technique is only reliable if the critical term is adequately quantified. We present an easy, inexpensive, and direct method, the sterilization-CO_2-injection(SCI) method, to measure CO_2 retention during soil incubation. Sterilized soil was incubated in the BaPS system, and defined volumes of CO_2 were injected to stepwise increase CO_2 partial pressure(pCO_2) inside the chamber and to analyse the physicochemical equilibration process. Five exemplary agricultural soils from Northeast China and Southwest Germany were used for method establishment, presenting pH values between 4.4 and 7.6 and carbonate contents between 0% and 3.9%. We observed that in soils with pH > 6.5, 70%–90% of the injected CO_2 was taken up by the soil until the equilibrium inside the chamber was re-established. As expected, in soils with low pH(< 6.5), measured CO_2 retention was low. CO_2 retention patterns were sensitive to incubation temperature with tri-fold dissolution capacity at 5 ◦ C compared to 25 ◦ C, but insensitive to variations in soil water content. The resulting soil-specific relationship between pCO_2 and CO_(2,aq) concentration allowed the quantification of CO_(2,aq) concentration as a function of headspace pCO_2.
肠道微生物与中枢神经系统疾病研究进展

肠道微生物是人体微生物最大储存库,时刻与宿主进行着信息交换.微生物及其代谢产物在胎儿时期已对人体产生作用,微生物定植的序贯性、多样性、稳定性及平衡性均会对人体生长发育产生重大影响,并影响宿主生理病理等多个方面,在人体健康和疾病中起重要作用.本文将对肠道微生物(主要指细菌)与中枢神经系统及其疾病相关性的研究进展进行综述.
面向城市服务设施数据的同位模式挖掘研究

城市空间是人类活动的主要区域,随着数据采集和共享技术的快速发展,大量与城市相关的数据可被获取。公共服务设施数据作为城市各类数据的地理基础,其中蕴含着丰富的人类群体智慧。在智慧城市建设的发展契机下,利用数据挖掘手段,从较为成熟的城市设施数据中提取有趣的规律和知识,以指导新城市的合理规划和后续设施的合理布局,成为目前一个重要的应用和研究热点。
地表裸露碳酸盐岩组分比例遥感估算研究———以云南建水县为例

裸露碳酸盐岩是石漠化景观最明显的表征,岩溶地区地表裸露碳酸盐岩组分比例(fraction of exposed carbonate rock,FECR)的估算是评价该地区石漠化程度的基础工作,同时也为区域资源开发利用、环境监测和气候变化的研究提供有力的数据支持。由于受到高分辨率遥感数据获取成本和中低分辨率遥感FECR估算方法的限制,当前大范围FECR的遥感获取方法仍以中低分辨率的多光谱影像定性分类为主,缺乏亚像元尺度的FECR定量估算研究,然而,岩溶区地表覆盖高度异质,光谱混合效应非常明显。因此,本文利用中低空间分辨率遥感技术,对岩溶区FECR估算的理论和方法展开研究。
UPLC-Q-TOF/MS法分析牛黄清感胶囊成分

目的采用UPLC-Q-TOF/MS法分析牛黄清感胶囊的化学成分。方法分析采用BEH C_(18)色谱柱(2.1 mm × 100 mm,1.7 μm);流动相0.1%甲酸水-0.1%甲酸乙腈,梯度洗脱。质谱采用电喷雾(ESI)离子源,在正离子模式下采集数据。通过Peakview 2.0/masterview1.0软件,依据精确质量数和同位素峰度比确定分子式。通过二级谱图比对、对照品裂解规律分析,结合文献报道确定结构式。结果从中鉴定推断了54个化合物,其中14个化合物来自黄芩,15个化合物来自金银花,8个化合物来自连翘,2个化合物为金银花与连翘共有,9个化合物来自人工牛黄,2个化合物来自珍珠母,其余4个化合物来源于数据库检索。结论该方法检测快速、准确,为牛黄清感胶囊的化学成分鉴定提供新思路,物质基础的确定为质量评价指标选择及作用机制深入研究奠定基础。
蛇胆陈皮制剂中陈皮UPLC指纹图谱

目的建立蛇胆陈皮制剂中陈皮UPLC指纹图谱。方法蛇胆陈皮制剂50%甲醇提取物的分析采用Waters BEH C_(18)色谱柱(2.1 mm × 100 mm,1.7 μm);流动相为甲醇-乙腈-水(含1%冰醋酸),梯度洗脱;体积流量0.2 mL/min;检测波长300 nm;柱温30 ℃。结果32批固体制剂中,14批样品与陈皮的相似度≥0.90,18批样品与广陈皮的相似度≥0.90,表明不同批次药材来源可能存在差异; 56批液体制剂中,49批样品的相似度≥0.90,表明其质量较稳定。结论该方法稳定可靠,可用于陈皮的质量控制。