mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
子宫内膜组织中HOXA10及HB-EGF的表达与体外受精-胚胎移植妊娠结局的相关性

目的探讨子宫内膜组织中同源框基因A10(HOXA10)、肝素结合性表皮生长因子(HB-EGF)的表达与体外受精-胚胎移植(IVF-ET)妊娠结局的相关性。方法选取2016年3月至2018年3月在贵阳市妇幼保健院接受IVF-ET治疗的患者,在进入IVF-ET周期的前一月经周期的种植窗口期进行IVF-ET预移植,同时采用微活检术获取少许子宫内膜组织,最终获取125例患者的种植窗口期子宫内膜组织;这些患者进入IVF-ET周期后有57例获得临床妊娠、68例未妊娠,采用随机数字表法随机选取50例未妊娠者作为未妊娠组、50例妊娠者作为妊娠组,对其在预移植时获取的种植窗口期子宫内膜分别进行免疫组化SP法检测HOXA10、HB-EGF的表达情况,实时荧光定量PCR(qRT-PCR)和蛋白印迹法检测HOXA10、HB-EGF mRNA和蛋白的表达量,并采用logistic回归分析导致IVF-ET妊娠失败的危险因素。结果HOXA10和HB-EGF在两组患者的种植窗口期子宫内膜中均呈阳性表达,未妊娠组HOXA10和HB-EGF的吸光度值均明显低于妊娠组(分别为0.196±0.013、0.238±0.005和0.222± 0.003、0.232±0.004,P均<0.01);未妊娠组HOXA10、HB-EGF的阳性表达率明显低于妊娠组[分别为60%(30/50)、92%(46/50)和36%(18/50)、58%(29/50),均<0.05]。未妊娠组HOXA10、HB-EGF mRNA(分别为0.77±0.07、1.05±0.04和0.73± 0.04、1.04±0.03)和蛋白的表达量(分别为0.230±0.062、0.671±0.082和0.041±0.010、0.090±0.018)均明显低于妊娠组(P均<0.01)。logistic回归分析显示,年龄>34岁、HOXA10蛋白阴性表达、HB-EGF蛋白阴性表达均是影响IVF-ET妊娠失败的独立危险因素(OR值分别为4.715、6.124、5.098,P均<0.01)。结论子宫内膜中HOXA10、HB-EGF高表达与IVF-ET妊娠成功密切相关,而年龄>34岁、HOXA10蛋白阴性表达、HB-EGF蛋白阴性表达均可增加IVF-ET妊娠失败的风险。
Improved efficiency and photo-stability of methylamine-free perovskite solar cells via cadmium doping

Although perovskite solar cells containing methylamine cation can show high power conversion efficiency, stability is a concern. Here, methylamine-free perovskite material Cs_x FA_(1-x) PbI_3 was synthesized by a one-step method. In addition, we incorporated smaller cadmium ions into mixed perovskite lattice to partially replace Pb ions to address the excessive internal strain in perovskite structure. We have found that the introduction of Cd can improve the crystallinity and the charge carrier lifetime of perovskite films. Consequently, a power conversion efficiency as high as 20.59% was achieved. More importantly, the devices retained 94% of their initial efficiency under 1200 h of continuous illumination.
A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

For a single machine infinite power system with thyristor controlled series compensation (TCSC) device, which is affected by system model uncertainties, nonlinear time-delays and external unknown disturbances, we present a robust adaptive backstepping control scheme based on the radial basis function neural network (RBFNN). The RBFNN is introduced to approximate the complex nonlinear function involving uncertainties and external unknown disturbances, and meanwhile a new robust term is constructed to further estimate the system residual error, which removes the requirement of knowing the upper bound of the disturbances and uncertainty terms. The stability analysis of the power system is presented based on the Lyapunov function, which can guarantee the uniform ultimate boundedness (UUB) of all parameters and states of the whole closed-loop system. A comparison is made between the RBFNN-based robust adaptive control and the general backstepping control in the simulation part to verify the effectiveness of the proposed control scheme.
A Delay-Dependent Anti-Windup Compensator for Wide-Area Power Systems With Time-Varying Delays and Actuator Saturation

In this paper, a delay-dependent anti-windup compensator is designed for wide-area power systems to enhance the damping of inter-area low-frequency oscillations in the presence of time-varying delays and actuator saturation using an indirect approach. In this approach, first, a conventional wide-area damping controller is designed by using output feedback with regional pole placement approach without considering time-varying delays and actuator saturation. Then to mitigate the effect of both time-varying delays and actuator saturation, an add-on delay-dependent anti-windup compensator is designed. Based on generalized sector conditions, less conservative delay-dependent sufficient conditions are derived in the form of a linear matrix inequality (LMI) to guarantee the asymptotic stability of the closedloop system in the presence of time-varying delays and actuator saturation by using Lyapunov-Krasovskii functional and Jensen integral inequality. Based on sufficient conditions, the LMI-based optimization problem is formulated and solved to obtain the compensator gain which maximizes the estimation of the region of attraction and minimizes the upper bound of -gain. Nonlinear simulations are performed first using MATLAB/Simulink on a two-area four-machine power system to evaluate the performance of the proposed controller for two operating conditions, e.g., 3-phase to ground fault and generator 1 terminal voltage variation. Then the proposed controller is implemented in real-time on an OPAL-RT digital simulator. From the results obtained it is verified that the proposed controller provides sufficient damping to the inter-area oscillations in the presence of time-varying delays and actuator saturation and maximizes the estimation of the region of attraction.
Giant serpentine aneurysm of the internal cerebral artery and mandibular aneurysm:a case report

Background:Giant serpentine aneurysms (GSA) originate from saccular or spindle aneurysm,dissimilar from dissected aneurysm,that are defined as partially thrombosed giant aneurysms with tortuous internal vascular channel.The clinical and neuroradiologic characteristics are clarified and the mechanism of formation and the efficacy of double stent implantation in GSA are discussed.Case presentation:An 18-year-old man presented himself with a GSA arising from the internal cerebral artery (ICA).In addition,a mandibular aneurysm (MA) arose from the external cerebral artery (ECA).Success was achieved in treating GSA through endovascular treatment with double stents implanted in the parent artery,which were LEO stent and Tubridge flow diverter.After 1 year of follow-up,three-dimensional reconstruction of blood vessels revealed the disappearance of the serpentine access of GSA,which was found to be replaced with a roughly normal vascular structure.Conclusions:Double stent implantation has provided a feasible treatment option for giant serpentine internal carotid aneurysms and eliminated the possibility of causing collateral circulation occlusion.Therefore,it represents a simple and suitable treatment method for anatomical structure and operation.
Integrated energy-oriented cruising control of electric vehicle on highway with varying slopes considering battery aging

Eco-driving strategies for vehicles with conventional powertrains have been studied for years and attempt to reduce fuel consumption by optimizing the driving velocity profile. For electric vehicles (EVs) with regenerative braking, the speed profile with the best energy efficiency should be different from conventional vehicles. This paper proposes an energy-oriented cruising control strategy for EVs with a hierarchical structure to realize eco-cruising on highways with varying slopes. The upper layer plans the energy-optimized vehicle velocity, and the lower layer calculates the torque allocation between the front and rear axles. However, the resulting speed profile with varying velocity may cause a high charge and discharge rate of the battery, resulting in rapid battery fading. To extend the battery life, we make a tradeoff between the energy consumption and wear of the battery by formulating an optimal control problem, where driving comfort and travel time are also considered. An indirect optimal control method is implemented to derive the optimal control rule. As an extension, the control rule for avoiding rear-end collisions is presented and simulated for driving in the real world.
Time to change the energy conservation direction of China’s steel industry: From upgrading the technology level to increasing scrap ratio

A new energy intensity (EI) index for steel production—energy intensity at specific scrap ratio (EISR) index—is developed in this study to provide a method for analyzing the EI difference of steel production through a case-study analysis for China and Japan. The real cause of EI change of China’s key steel enterprises from 2006–2014 is also studied by using the EISR index. Result shows significant technology progress decreases the EI of China’s key steel enterprises by 16% from 2006 to 2014, but the final drop of comparable EI was only 12.3% due to the continued decreased scrap ratio (SR). From 2006 to 2014, the main cause of EI gap between China’s key steel enterprises and Japan’s steel industry changed from gap in technological level to difference in SR. In factor analysis that assumed Japanese share of electric arc furnace production (23.2%) and SR (33.3%) in 2014 in China, the EI of China’s key steel enterprises decreased to 612 kgce/t (kilogram standard coal/t) (primary energy consumption), which is almost same as Japan’s data. The key task of energy conservation in China’s key steel enterprises in the future should be changed from upgrading the technology level to increase the SR of steel production.
Stratosphere amplifies the global climate effect of wildfires

The summer of 2019 witnessed a great number of wildfires around the globe. For example, wildfires scorched huge swaths of Alaska, British Columbia in Canada, and parts of Greenland. And forest fires in Siberia and the Far East of Russia were also very serious, affecting nearly 3 million hectares of land, and putting some parts of Russia into a state of emergency. In particular, forest fires in the Amazon region had attracted global attention. According to Science, as of August 24, Brazil's National Institute for Space Research had counted more than 41000 fires this year, 86% more than last year, compared with 22000 in the same period last year. Scientists in Brazil and elsewhere believe that the recent increase of wildfires is closely related to the increasing activities of deforestation (Arruda et al., 2019; Escobar, 2019).
An interval finite element method for electromagnetic problems with spatially uncertain parameters

During the manufacturing process of dielectric materials used in electromagnetic engineering, the electromagnetic parameters are often spatially uncertain due to the processing technology, environmental temperature, personal operations, etc. Traditionally, the random field model can be used to measure the spatial uncertainties, but its construction requires a large number of samples. On the contrary, the interval field model only needs the upper and lower bounds of the spatially uncertain parameters, which requires much less samples and furthermore is easy to understand and use for engineers. Therefore, in this paper, the interval field model is introduced to describe the spatial uncertainties of dielectric materials, and then an interval finite element method (IFEM) is proposed to calculate the upper and lower bounds of electromagnetic responses. Firstly, the interval field of the dielectric material is represented by the interval K-L expansion and inserted into the scalar Helmholtz wave equations, and thus the interval equilibrium equations are constructed according to the node-based finite element method. Secondly, a perturbation interval finite element method is developed for calculating the upper and lower bounds of electromagnetic responses such as the electric strength and magnetic strength. Finally, the effectiveness of the proposed method is verified by three numerical examples.
Enantioselective three-component Ugi reaction catalyzed by chiral phosphoric acid

A catalytic enantioselective three-component Ugi reaction was developed. SPINOL-derived phosphoric acid with bulky 2,4,6- tricyclohexylphenyl groups at the 6,6' positions was found to be the best catalyst to afford α-amino amide derivatives in good to excellent yields (62% to 99%) and enantiocontrol (81% to >99% enantiomeric excess). This asymmetric reaction was applicable well to an array of aliphatic aldehydes. The gram-scale synthesis, modification of dapsone, and enantioselective synthesis of (R)- Lacosamide underline the general utility of this methodology. Influence of dihedral angles and substituents of the chiral phosphoric acids on the enantioselectivity was also discussed in this article.
Efficient and stable tin-based perovskite solar cells by introducing π-conjugated Lewis base

Tin-based perovskite solar cells (TPSCs) as the most promising candidate for lead-free PSCs have incurred extensive researches all over the world. However, the crystallization process of tin-based perovskite is too fast during the solution-deposited process, resulting in abundant pinholes and poor homogeneity that cause serious charge recombination in perovskite layer. Here, we employed the π-conjugated Lewis base molecules with high electron density to systematically control the crystallization rate of FASnI3 perovskite by forming stable intermediate phase with the Sn-I frameworks, leading to a compact and uniform perovskite film with large increase in the carrier lifetime. Meanwhile, the introduction of the π-conjugated systems also retards the permeation of moisture into perovskite crystal, which significantly suppresses the film degradation in air. These benefits contributed to a stabilizing power conversion efficiency (PCE) of 10.1% for the TPSCs and maintained over 90% of its initial PCE after 1000-h light soaking in air. Also, a steady-state efficiency of 9.2% was certified at the accredited test center.
Metal-organic frameworks for electrochemical energy conversion: status and challenges

The quickly expanded energy consumption based on traditional fossil fuels has resulted in energy crises and severe environmental problems. Developing sustainable energy conversion technology is an important issue confronting the global energy security and consumption. Electrochemical energy storage and conversion is one of the most perspective renewable ways to produce carbon-free fuels via water splitting, and convert chemicals into electricity by fuel cells and metal-air batteries. A recent class of porous materials, metal-organic frameworks (MOFs), has been extensively explored as electrocatalysts or precursors to derive efficient composites in virtue of their large surface area, high porosity, tunable structures, and uniform dispersion of components. Because most MOFs are formed by inexpensive transition metals and commercial organic ligands, they have been regarded as promising earth-abundant electrocatalyst alternatives to conventional expensive benchmark noble-metalbased materials (Figure 1). In this perspective, we give an overview of current status and significant challenges in utilizing MOF-based materials for energy-related electrocatalysis, and an emphasis on design strategies for further performance enhancement is presented.
中国东北表土花粉组合特征及其在古气候重建中的意义

中国东北地区位于东亚夏季风影响范围的北界,是研究东亚夏季风强弱变化的理想区域.东北地区现代花粉数据的缺乏阻碍了该地区化石花粉记录的解译及古植被、古气候的定量重建.文章选取中国东北地区西部的森林、典型草原及草甸草原内共44个样点开展现代花粉与植被、气候关系的研究.聚类分析、指示值法和主成分分析被用于研究花粉数据的间断分布和连续变化趋势;相关分析与增强回归树分析用于确定主要的气候解释变量,而协惯量分析、冗余分析分别用于探查花粉-植被、花粉-气候的关系.研究结果表明:(1)表土花粉谱能够很好的代表植被类型.森林植被以高含量的乔木花粉(>70%)为特征,桦属为优势类群(含量>40%),并伴有一定数量的
北京地区重霾天气过程大气湍流结构及间歇性研究

文章应用自动识别大气谱隙和重构大气湍流序列方法,研究了北京地区2016年12月至2017年1月重霾天气过程不同污染阶段的湍流输送规律、湍流间歇特征及其演变机制.结果表明:重霾天气过程累积阶段的湍流间歇强度最强,输送阶段次之,消散阶段最弱.霾天气污染发展和累积期间,浮力对湍流动能的贡献做负功,水平风速较低,经典意义下的湍流运动信号多受到次中尺度运动的影响,导致湍流参量的计算结果中掺混有次中尺度运动的影响,造成湍流间歇强度增强;污染消散阶段,低空急流引发的动量下传为近地层湍流运动提供动能,湍流混合作用增强,间歇强度减弱.因大气湍流间歇作用,利用气象要素原始脉动计算得到的湍流参量可能存在高估,污染累积阶段的高估程度最强,输送阶段次之,消散阶段最弱.湍流通量的高估导致大气扩散能力的高估,并导致空气质量数值模拟中污染物浓度的低估.
京津冀城市群可持续爬升规律的定量模拟及验证

城市群形成发育的自然过程表现为核心城市为了自身可持续发展而不断联合周边城市提升可持续发展能力的过程.城市群可持续发展的爬升机理是一条随着时间推移和城市个数增加而形成的非线性复合型爬升曲线.文章通过几何推导求解出城市群可持续爬升函数曲线规律、爬升率和爬升速度,构建了城市群可持续发展爬升能力测度指标体系,采用TOPSIS与灰色关联方法定量测度了2000~2015年京津冀城市群经济可持续爬升能力、社会可持续爬升能力、环境可持续爬升能力和综合可持续爬升能力的动态变化态势,创建了城市群城市间综合联合强度模型和联合门槛值计算方法.研究表明:京津冀城市群经济可持续爬升能力、社会可持续爬升能力、环境可持续爬升能力和综合可持续爬升能力均呈波浪式提升趋势,2000~2015年历年平均爬升速度分别为2.4%、1.67%、1.1%和1.74%,城市群各城市间的综合联合强度总体不断加大,但存在着联合门槛值的限制.2000~2015年京津冀城市群核心城市北京市为了提升其可持续爬升能力,在2000年之前就联合天津、廊坊、保定共同发展,在2002年联合唐山共同发展,在2009年联合沧州共同发展,在2012年联合张家口和石家庄共同发展,在2014年联合承德共同发展,截至2015年仍然有邯郸、秦皇岛、衡水和邢台4个城市和北京的综合联合强度低于联合门槛值6.14,这4个城市距离北京相对较远,对北京可持续爬升能力尚且没有实质性贡献.进一步采用京津冀城市群核心城市北京市2000~2015年综合可持续爬升能力的长时间序列指数值进行多次爬升曲线拟合后发现,京津冀城市群综合可持续爬升函数模拟曲线与2000~2015年京津冀城市群综合可持续爬升能力曲线具有很大的相似性,说明综合可持续爬升函数曲线模拟效果良好,可采用综合可持续爬升函数模型分析预测京津冀城市群未来综合可持续爬升能力.该研究为推动京津冀城市群协同发展提供了定量的决策支持依据,为全国城市群可持续发展所联合的城市个数的确定提供了理论指导和算法.
Public-transcriptome-database-assisted selection and validation of reliable reference genes for qRT-PCR in rice

Accurate quantitative reverse transcription PCR (qRT-PCR) requires reliable reference genes whose expression does not vary in different tissues and developmental stages. However, few reliable reference genes are available for qRT-PCR in rice (Oryza sativa). Here, we established an effective strategy for identifying novel reference genes (NRGs) for reliable normalization of qRT-PCR data in various rice organs and developmental stages. We selected candidate NRGs using the Information Commons for Rice Database and confirmed their expression in Rice Expression Profile Database (RiceXPro) data. Genes with low variation (<2.5 cycle quantification) across tissues and developmental stages, and little fluctuation in expression in heatmaps from RiceXPro data were considered stable NRGs. To validate this strategy, we selected 11 candidate NRGs and calculated their expression stability in different spatio-temporal conditions using five programs, and compared these genes with five established reference genes (ERGs). Only one of the ERGs (UBQ5) was reliable and 10 of the candidate NRGs were more stable than the four remaining ERGs. Therefore, public transcriptomic databases are useful for identifying NRGs. We selected two NRGs, UFC1 (Homolog of UFM1-Conjugating Enzyme 1) and FhaB (Homolog of Adhesin FhaB) for qRT-PCR analysis in rice; their homologs might be suitable for other monocot plants.
渤海湾盆地晚中生代构造地层划分及对比:对燕山运动的启示

通过对渤海湾盆地中生代地层同位素年代学研究、地震资料解释和测井、录井资料分析,将渤海湾盆地中生代地层划分为下-中三叠统、下-中侏罗统、上侏罗统、下白垩统、上白垩统等五个构造层.通过碎屑锆石的分析,渤海湾盆地碎屑岩记录了两期侏罗纪的岩浆活动,分别为180~175Ma、160~152Ma,可分别与燕山地区南大岭组和髫髻山组对应.但是,由于在渤海湾盆地没有直接发现侏罗纪火山岩,推测这两期活动可能主要集中在华北克拉通周缘而不是内部.通过火山岩和火山碎屑岩锆石的分析,渤海湾盆地早白垩世的岩浆活动主要有两期,分别为120~125Ma、110~100Ma,可以和华北克拉通东部岩浆活动对应.这些锆石年龄唯独缺乏了在华北克拉通北缘极其常见的土城子后期和张家口期火山活动,这可能与渤海湾盆地在晚侏罗世后期抬升有关.通过对比渤海湾盆地与燕山构造带中东段造山带中生代盆地构造和沉积地层发育过程,发现两者总体可以对比,但是也存在明显的差异.燕山构造带中东段缺少早-中三叠世的地层,渤海湾盆地缺失晚侏罗世晚期-早白垩世早期的地层.结合燕山构造带中东段晚中生代沉积构造相关研究成果,本文认为渤海湾盆地及其周缘燕山运动A幕表现微弱,而燕山运动B幕对渤海湾盆地及其周缘均产生了强烈的影响.目前的资料表明其表现方式存在差异,渤海湾盆地表现为垂直隆升,华北克拉通北缘表现为水平挤压隆升.
Biomimetic Superlyophobic Metallic Surfaces: Focusing on Their Fabrication and Applications

Metals are indispensable engineered materials for day-to-day life. Researches focused on metallic surfaces with superlyophobicity(superhydrophobicity, superoleophobicity, underwater superoleophobicity and slippery characteristic)have attracted much attention recently. Nature is a magician that gives each organic life a unique advantage. Researchers have created a large number of biomimetic superlyophobic metallic surfaces through various approaches. These biomimetic superlyophobic metallic surfaces exhibit advantages in many applications, such as self-cleaning, corrosion resistance, anti-icing, and drag reduction. In this review, the specific fabrication and applications of biomimetic superlyophobic metallic surfaces were reported. The remaining challenges and future outlook of biomimetic superlyophobic metallic surfaces were preliminarily analyzed. It is hoped that the review will be essential for broadening the scope of potential applications of metals and providing a powerful reference for future research on metal-based advanced functional materials.
国家卫生健康委办公厅关于加强信息化支撑新型冠状病毒感染的肺炎疫情防控工作的通知

为贯彻落实党中央、国务院关于新型冠状病毒感染的肺炎疫情防控工作的总体部署,充分发挥信息化在辅助疫情研判、创新诊疗模式、提升服务效率等方面的支撑作用,切实做好疫情发现、防控和应急处置工作,在总结各地典型做法的基础上,现就加强信息化支撑疫情防控工作通知如下。
Griffiths发育评估量表在一例难治性癫痫术前评估中的定侧定位作用报道及文献复习

在难治性癫痫术前评估中,婴幼儿及儿童的评估量表目前仍相对缺乏,Griffiths量表在本例患儿中起到一定的定侧、定位作用。因该量表主要评估行为发育,因此临床上还需增加如韦氏智力量表等以进一步了解患儿的认知能力。
Deep Learning Based Hand Gesture Recognition and UAV Flight Controls

Dynamic hand gesture recognition is a desired alternative means for human-computer interactions. This paper presents a hand gesture recognition system that is designed for the control of flights of unmanned aerial vehicles (UAV). A data representation model that represents a dynamic gesture sequence by converting the 4-D spatiotemporal data to 2-D matrix and a 1-D array is introduced. To train the system to recognize designed gestures, skeleton data collected from a Leap Motion Controller are converted to two different data models. As many as 9 124 samples of the training dataset, 1 938 samples of the testing dataset are created to train and test the proposed three deep learning neural networks, which are a 2-layer fully connected neural network, a 5-layer fully connected neural network and an 8-layer convolutional neural network. The static testing results show that the 2-layer fully connected neural network achieves an average accuracy of 96.7% on scaled datasets and 12.3% on non-scaled datasets. The 5-layer fully connected neural network achieves an average accuracy of 98.0% on scaled datasets and 89.1% on non-scaled datasets. The 8-layer convolutional neural network achieves an average accuracy of 89.6% on scaled datasets and 96.9% on non-scaled datasets. Testing on a drone-kit simulator and a real drone shows that this system is feasible for drone flight controls.
Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions

Fast high-precision patient-specific vascular tissue and geometric structure reconstruction is an essential task for vascular tissue engineering and computer-aided minimally invasive vascular disease diagnosis and surgery. In this paper, we present an effective vascular geometry reconstruction technique by representing a highly complicated geometric structure of a vascular system as an implicit function. By implicit geometric modelling, we are able to reduce the complexity and level of difficulty of this geometric reconstruction task and turn it into a parallel process of reconstructing a set of simple short tubular-like vascular sections, thanks to the easyblending nature of implicit geometries on combining implicitly modelled geometric forms. The basic idea behind our technique is to consider this extremely difficult task as a process of team exploration of an unknown environment like a cave. Based on this idea, we developed a parallel vascular modelling technique, called Skeleton Marching, for fast vascular geometric reconstruction. With the proposed technique, we first extract the vascular skeleton system from a given volumetric medical image. A set of sub-regions of a volumetric image containing a vascular segment is then identified by marching along the extracted skeleton tree. A localised segmentation method is then applied to each of these sub-image blocks to extract a point cloud from the surface of the short simple blood vessel segment contained in the image block. These small point clouds are then fitted with a set of implicit surfaces in a parallel manner. A high-precision geometric vascular tree is then reconstructed by blending together these simple tubular-shaped implicit surfaces using the shapepreserving blending operations. Experimental results show the time required for reconstructing a vascular system can be greatly reduced by the proposed parallel technique.