mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Sensitivity Analysis of Air Gap Motion with Respect to Wind Load and Mooring System for Semi-Submersible Platform Design

A design of semi-submersible platform is mainly based on the extreme response analysis due to the forces experienced by the components during lifetime. The external loads can induce the extreme air gap response and potential deck impact to the semi-submersible platform. It is important to predict air gap response of platforms accurately in order to check the strength of local structures which withstand the wave slamming due to negative air gap. The wind load cannot be simulated easily by model test in towing tank whereas it can be simulated accurately in wind tunnel test. Furthermore, full scale simulation of the mooring system in model test is still a tuff work especially the stiffness of the mooring system. Owing to the above mentioned problem, the model test results are not accurate enough for air gap evaluation. The aim of this paper is to present sensitivity analysis results of air gap motion with respect to the mooring system and wind load for the design of semi-submersible platform. Though the model test results are not suitable for the direct evaluation of air gap, they can be used as a good basis for tuning the radiation damping and viscous drag in numerical simulation. In the presented design example, a numerical model is tuned and validated by ANSYS AQWA based on the model test results with a simple 4 line symmetrical horizontal soft mooring system. According to the tuned numerical model, sensitivity analysis studies of air gap motion with respect to the mooring system and wind load are performed in time domain. Three mooring systems and five simulation cases about the presented platform are simulated based on the results of wind tunnel tests and sea-keeping tests. The sensitivity analysis results are valuable for the floating platform design.
全基因组关联研究发现8p21.3区域的INTS10基因是一种新的抑制HBV感染的抗性基因

乙型肝炎病毒(Hepatitis B virus, HBV)感染是最常见的病毒性传染病之一,全球大约有2.5亿HBV慢性携带者。我国大约有7500万HBV 慢性携带者,位列全球各国之首。HBV 感染后可能引发一系列肝脏疾病,包括慢性乙型肝炎、肝硬化和肝癌。因此,预防和治疗HBV 慢性感染意义重大。成年个体感染 HBV 后,绝大多数个体可以清除病毒,只有少部分个体(~10%)会发展成为慢性感染者。病毒因素和环境因素均可能导致这种个体化差异。病毒因素和环境因素主要包括性别、年龄、HBV 基因型等。而分离分析和双生子研究提示,遗传因素在HBV 慢性感染过程中也发挥重要作用。以往基于候选基因的研究策略,研究人员已陆续发现了若干个与HBV 感染慢性化显著相关的单核苷酸多态性(Single nucleotide polymorphism, SNP),这些SNP 位于ESR1、CD24、 TNF-α 等基因上。随着全基因组关联研究(Genome-wide association study, GWAS)的兴起,研究人员基于该策略在亚洲人群中陆续发现了数个新的与HBV 感染慢性化相关的遗传易感基因区域,包括HLA-DP(rs3077和rs9277535)、HLA-DQ(rs2856-718和rs7453920) 、HLA-C(rs3130542) 、EHMT2(rs652888)、TCF19(rs1419881)、CFB(rs12614)、UBE2-L3(rs4821116)和CD40(rs1883832)。其中绝大多数位点(除rs4821116和rs1883832外)位于主要组织相容性复合体(Major histocompatibility complex, MHC)区域。
Water uptake of multicomponent organic mixtures and their influence on hygroscopicity of inorganic salts

The hygroscopic behaviors of atmospherically relevant multicomponent water soluble organic compounds (WSOCs) and their effects on ammonium sulfate (AS) and sodium chloride were investigated using a hygroscopicity tandem differential mobility analyzer(HTDMA) in the relative humidity (RH) range of 5%–90%. The measured hygroscopic growth was compared with predictions from the Extended-Aerosol Inorganics Model (E-AIM) and Zdanovskii–Stokes–Robinson (ZSR) method. The equal mass multicomponent WSOCs mixture containing levoglucosan, succinic acid, phthalic acid and humic acid showed gradual water uptake without obvious phase change over the whole RH range. It was found that the organic content played an important role in the water uptake of mixed particles. When organic content was dominant in the mixture (75%), the measured hygroscopic growth was higher than predictions from the E-AIM or ZSR relation, especially under high RH conditions. For mass fractions of organics not larger than 50%, the hygroscopic growth of mixtures was in good agreement with model predictions. The influence of interactions between inorganic and organic components on the hygroscopicity of mixed particles was related to the salt type and organic content. These results could contribute to understanding of the hygroscopic behaviors of multicomponent aerosol particles.
Rapid adsorption of toxic Pb(II) ions from aqueous solution using multiwall carbon nanotubes synthesized by microwave chemical vapor deposition technique

Multiwall carbon nanotubes (MWCNTs) were synthesized using a tubular microwave chemical vapor deposition technique, using acetylene and hydrogen as the precursor gases and ferrocene as catalyst. The novel MWCNT samples were tested for their performance in terms of Pb(II) binding. The synthesized MWCNT samples were characterized using Fourier Transform Infrared (FT-IR), Brunauer, Emmett and Teller (BET), Field Emission Scanning Electron Microscopy (FESEM) analysis, and the adsorption of Pb(II) was studied as a function of pH, initial Pb(II) concentration, MWCNT dosage, agitation speed, and adsorption time, and process parameters were optimized. The adsorption data followed both Freundlich and Langmuir isotherms. On the basis of the Langmuir model, Q_(max) was calculated to be 104.2 mg/g for the microwave-synthesized MWCNTs. In order to investigate the dynamic behavior ofMWCNTs as an adsorbent, the kinetic dataweremodeled using pseudo first-order and pseudo second-order equations. Different thermodynamic parameters, viz., ΔH~0, ΔS~0 and ΔG~0 were evaluated and it was found that the adsorption was feasible, spontaneous and endothermic in nature. The statistical analysis revealed that the optimum conditions for the highest removal (99.9%) of Pb(II) are at pH 5,MWCNT dosage 0.1 g, agitation speed 160 r/min and timeof 22.5 minwith the initial concentration of 10 mg/L. Our results proved thatmicrowave-synthesized MWCNTs can be used as an effective Pb(II) adsorbent due to their high adsorption capacity as well as the short adsorption time needed to achieve equilibrium.
Stand biomass and carbon storage of bamboo forest in Penglipuran traditional village, Bali (Indonesia)

Bamboo forest is an important land use in the traditional village of Penglipuran, Bali Indonesia. Bamboo growing in the rural areas can be a good choice for capturing CO_2. I harvested selected culms to determine biomass content, and 50 % of dry weight biomass was calculated as carbon content. The Penglipuran bamboo forest supported six bamboo species in a one hectare sampling plot, all of the genus Gigantochloa. The clump and culm densities were 339 and 7190 ha~(-1), respectively. Total above-plus below-ground biomass was 87.35 Mg ha~(-1), and carbon storage was 43.67 Mg ha~(-1). Carbon storage estimated in the bamboo forest at Penglipuran offers insight into the opportunity for PES (payment for ecosystem services) through emission trading mechanisms.
A management planning system for even-aged and uneven-aged forests in northeast China

The most common scientific approach to numerical landscape-level forest management planning is combinatorial optimization aimed at finding the optimal combination of the treatment alternatives of stands. The selected combination of treatments depends on the conditions of the forest, and the objectives of the forest landowners. A two-step procedure is commonly used to derive the plan. First, treatment alternatives are generated for the stands using an automated simulation tool. Second, the optimal combination of the simulated treatment schedules is found by using mathematical programming or various heuristics. Simulation of treatment schedules requires models for stand dynamics and volume for all important tree species and stand types present in the forest. A forest planning system was described for Northeast China. The necessary models for stand dynamics and tree volume were presented for the main tree species of the region. The developed models were integrated into the simulation tool of the planning system. The simulation and the optimization tools of the planning system were described. The optimization tool was used with heuristic methods, making it possible to easily solve also spatial forest planning problems, for instance aggregate cuttings. Finally, the use of the system is illustrated with a case study, in which nonspatial and spatial management plans are developed for the Mengjiagang Forest District.
Modeling height-diameter relationship for Populus euphratica in the Tarim riparian forest ecosystem, Northwest China

Modeling height-diameter relationships is an important component in estimating and predicting forest development under different forestmanagement scenarios. In this paper, ten widely used candidate height-diametermodels were fitted to tree height and diameter at breast height (DBH) data for Populus euphratica Oliv. within a 100 ha permanent plots at Arghan Village in the lower reaches of the Tarim River, Xinjiang Uyghur Autonomous Region of China. Data from 4781 trees were used and split randomly into two sets: 75 % of the data were used to estimate model parameters (model calibration), and the remaining data (25 %) were reserved for model validation. All model performances were evaluated and compared by means of multiple model performance criteria such as asymptotic t-statistics of model parameters, standardized residuals against predicted height, root mean square error (RMSE), Akaike’s information criterion (AIC), mean prediction error (ME) and mean absolute error (MAE). The estimated parameter a for model (6) was not statistically significant at a level of a = 0.05. RMSE and AIC test result for all models showed that exponential models (1), (2), (3) and (4) performed significantly better than others. All ten models had very small MEs and MAEs. Nearly all models underestimated tree heights except for model (6). Comparing the MEs and MAEs of models, model (1) produced smaller MEs (0.0059) and MAEs (1.3754) than other models. To assess the predictive performance of models, we also calculated MEs by dividing the model validation data set into 10-cm DBH classes. This suggested that all models were likely to create higher mean prediction errors for tree DBH classes >20 cm. However, no clear trend was found among models. Model (6) generated significantly smaller mean prediction errors across all tree DBH classes. Considering all the aforementioned criteria, model (1): TH = 1.3 + a/(1 + b× e~(-c×DBH) and model (6): TH = 1.3 + DBH~2/(a + b× DBH + c × DBH~2) are recommended as suitable models for describing the height-diameter relationship of P. euphratica. The limitations of other models showing poor performance in predicting tree height are discussed. We provide explanations for these shortcomings.
Preparation and characterisation of perovskite La_(0.8)Sr_(0.2)Ga_(0.83)Mg_(0.17)O_(2.815) electrolyte using a poly(vinyl alcohol) polymeric method

The perovskite La_(0.8)Sr_(0.2)Ga_(0.83)Mg_(0.17)O_(2.815) (LSGM) fuel cell electrolyte was prepared by a polymeric method using poly(vinyl alcohol) (PVA). The LSGM precursor powder was examined by thermogravimetric and differential thermal analysis (TG/DTA) and Fourier transform infrared (FTIR) spectroscopy. It was found that thermal decomposition of the LSGM precursor powder occurs in a number of different stages, and complete decomposition of the precursor is obtained at 1000 ℃. X-ray diffraction (XRD) showed that calcined powder contains three secondary phases, namely La_4Ga_2O_9, LaSrGa_3O_7, and LaSrGaO_4, even after calcination at 1100 ℃. Furthermore, the fraction of secondary phases decreases with increasing calcination temperature. Single phase perovskite LSGM pellets with a relative density of 97% were obtained after sintering at 1450 ℃ for 10 h. It was therefore shown that the powder prepared by the simple PVA method is fine, highly reactive, and sinterable. The electrical properties of LSGM pellets were characterised by impedance spectroscopy. The conductivity of the LSGM pellets sintered at 1450 ℃ for 10 h was 8.24×10~(-2) S/cm at 800 ℃.
Operational Climate Prediction in the Era of Big Data in China: Reviews and Prospects

Big data has emerged as the next technological revolution in IT industry after cloud computing and the Internet of Things. With the development of climate observing systems, particularly satellite meteorological observation and high-resolution climate models, and the rapid growth in the volume of climate data, climate prediction is now entering the era of big data. The application of big data will provide new ideas and methods for the continuous development of climate prediction. The rapid integration, cloud storage, cloud computing, and full-sample analysis of massive climate data makes it possible to understand climate states and their evolution more objectively, thus predicting the future climate more accurately. This paper describes the application status of big data in operational climate prediction in China; it analyzes the key big data technologies, discusses the future development of climate prediction operations from the perspective of big data, speculates on the prospects for applying climatic big data in cloud computing and data assimilation, and puts forward the notion of big data-based super-ensemble climate prediction methods and computer-based deep learning climate prediction methods.
A New Method for Resource Allocation Optimization in Disaster Reduction and Risk Governance

How to allocate and use resources play a crucial role in disaster reduction and risk governance(DRRG). The challenge comes largely from two aspects: the resources available for allocation are usually limited in quantity; and the multiple stakeholders involved in DRRG often have conflicting interests in the allocation of these limited resources. Therefore resource allocation in DRRG can be formulated as a constrained multiobjective optimization problem(MOOP). The Pareto front is a key concept in resolving a MOOP, and it is associated with the complete set of optimal solutions. However, most existing methods for solving a MOOPs only calculate a part or an approximation of the Pareto front, and thus can hardly provide the most effective or accurate support to decisionmakers in DRRG. This article introduces a new method whose goal is to find the complete Pareto front that resolves the resource allocation optimization problem in DRRG. The theoretical conditions needed to guarantee finding a complete Pareto front are given and a practicable, ripplespreading algorithm is developed to calculate the complete Pareto front. A resource allocation problem of risk governance in agriculture is then used as a case study to test the applicability and reliability of the proposed method. The results demonstrate the advantages of the proposed method in terms of both solution quality and computational efficiency when compared with traditional methods.
Kinetic approach to the study of froth flotation applied to a lepidolite ore

The number of published studies related to the optimization of lithium extraction from low-grade ores has increased as the demand for lithium has grown. However, no study related to the kinetics of the concentration stage of lithium-containing minerals by froth flotation has yet been reported. To establish a factorial design of batch flotation experiments, we conducted a set of kinetic tests to determine the most selective alternative collector, define a range of pulp pH values, and estimate a near-optimum flotation time. Both collectors (Aeromine 3000C and Armeen 12D) provided the required flotation selectivity, although this selectivity was lost in the case of pulp pH values outside the range between 2 and 4. Cumulative mineral recovery curves were used to adjust a classical kinetic model that was modified with a non-negative parameter representing a delay time. The computation of the near-optimum flotation time as the maximizer of a separation efficiency (SE) function must be performed with caution. We instead propose to define the near-optimum flotation time as the time interval required to achieve 95%–99% of the maximum value of the SE function.
Fluorite Ce_(0.8)Sm_(0.2)O_(2-δ) porous layer coating to enhance the oxygen permeation behavior of a BaCo_(0.7)Fe_(0.2)Nb_(0.1)O_(3-δ) mixed conductor

Fluorite Ce_(0.8)Sm_(0.2)O_(2-δ)(SDC) nanopowder with a crystallite size of 15 nm was synthesized by a co-precipitation method. An SDC porous layer was coated onto a BaCo_(0.7)Fe_(0.2)Nb_(0.1)O_(3-d)(BCFN) mixed conductor to improve its oxygen transport behavior. The results show that the SDC-coated BCFN membrane exhibits a remarkably higher oxygen permeation flux(J_O_2) than the uncoated BCFN in the partial oxidation of coke oven gas(COG). The maximum J_O_2 value of the SDC-coated BCFN is 18.28 mL·min~(-1)·cm~(-2) under a COG/air flux of 177 mL·min~(-1)/353 mL·min~(-1) at 875°C when the thickness of the BCFN membrane is 1 mm; this J_O_2 value is 23% higher than that of the uncoated BCFN membrane. This enhancement is likely because of the higher oxygen ionic conductivity of SDC, which supplies oxygen vacancies and accelerates oxygen exchange on the membrane/coating layer/gas three-phase boundary.
An improved implementable process for the synthesis of zeolite 4A from bauxite tailings and its Cr~(3+) removal capacity

A simple and practical method for the synthesis of zeolite 4A from bauxite tailings is presented in this paper. Systematic investigations were carried out regarding the capacity of zeolite 4A to remove Cr(III) from aqueous solutions with relatively low initial concentrations of Cr(III) (5–100 mg·L~(–1)). It is found that the new method is extremely cost-effective and can significantly contribute in decreasing environmental pollution caused by the dumping of bauxite tailings. The Cr(III) removal capacity highly depends on the initial pH value and concentration of Cr(III) in the solution. The maximum removal capacity of Cr(III) was evaluated to be 85.1 mg×g~(–1) for zeolite 4A, measured at an initial pH value of 4 and an initial Cr(III) concentration of 5 mg·L~(–1). This approach enables a higher removal capacity at lower concentrations of Cr(III), which is a clear advantage over the chemical precipitation method. The removal mechanism of Cr(III) by zeolite 4A was examined. The results suggest that both ion exchange and the surface adsorption-crystallization reaction are critical steps. These two steps collectively resulted in the high removal capacity of zeolite 4A to remove Cr(III).
Fluoride evaporation and crystallization behavior of CaF_2–CaO–Al_2O_3–(TiO_2) slag for electroslag remelting of Ti-containing steels

To elucidate the behavior of slag films in an electroslag remelting process, the fluoride evaporation and crystallization of CaF_2–CaO–Al_2O_3–(TiO_2) slags were studied using the single hot thermocouple technique. The crystallization mechanism of TiO_2-bearing slag was identified based on kinetic analysis. The fluoride evaporation and incubation time of crystallization in TiO_2-free slag are found to considerably decrease with decreasing isothermal temperature down to 1503 K. Fish-bone and flower-like CaO crystals precipitate in TiO_2-free slag melt, which is accompanied by CaF_2 evaporation from slag melt above 1503 K. Below 1503 K, only near-spherical CaF_2 crystals form with an incubation time of less than 1 s, and the crystallization is completed within 1 s. The addition of 8.1wt% TiO_2 largely prevents the fluoride evaporation from slag melt and promotes the slag crystallization. TiO_2 addition leads to the precipitation of needle-like perovskite(CaTiO_3) crystals instead of CaO crystals in the slag. The crystallization of perovskite(CaTiO_3) occurs by bulk nucleation and diffusion-controlled one-dimensional growth.
The turbulent behavior of novel free triple-impinging jets with large jet spacing by means of particle image velocimetry

A novel reactor that achieves rapid liquid-liquid mixing via free triple-impinging jets (FTIJs) is developed to improvemixing efficiency at unequal flowrates for liquid-liquid reactions. The flow characteristics of FTIJswere investigated using particle image velocimetry (PIV). The instantaneous and mean velocities data at different Reynolds numbers (Re) were analyzed to provide insights into the velocity distributions in FTIJs. The effect of jet spacing on the stagnation points, instantaneous velocity, mean velocity, profiles of the x- and ycomponents of mean velocity, and turbulent kinetic energy (TKE) distributions of FTIJs were investigated at Re = 4100 with a volumetric flow rate ratio of 0.5. The characteristics of the turbulent flows are similar for all jet spacings tested. Two stagnation points are observed,which are independent of jet spacing and are not located in the center of the flow field. However, velocity and TKE distributions are strongly dependent on the jet spacing. Decreasing jet spacing increases the expansion angle and the values of TKE, leading to strong turbulence, improvingmomentum transfer and mixing efficiency in FTIJs. The present study shows that optimization of the operating parameters is helpful for designing FTIJs.
孕37周,彩超检查发现胎儿腹裂5周,不规律下腹紧缩感1天

患者于2015年12月30日行子宫下段剖宫产术及EXIT处理,胎儿娩出后,见脱出腹壁外脏器为中肠肠管,肠管扩张,肠壁水肿肥厚,表面可见黄绿色纤维素渗出,肠管呈肠旋转不良改变,顺行肠管减压,有大量胎便排出,肠管扩张缓解。因腹腔容积极小,试行还纳肠管入腹,尚有约二分之一肠管未进入腹腔,遂使用Silo袋,将结肠还纳入腹腔,小肠顺行置入Silo袋内,术中同时保留脐带血120 ml,并采集脐带血10 ml行进一步检查。术后3日,产妇无发热、贫血等并发症,如期出院。新生儿于2016年1月5日行二次肠管还纳术,经原切口试行还纳肠管,还纳成功,手术顺利。2016年2月5日,新生儿恢复良好,喂养耐受,出院。2016年3月1日,胎儿脐带血检验报告回报,X染色体存在0.54 Mb的重复,该重复可能与自闭症、智力残疾等的发生相关。但经由其父母的染色体验证,胎儿的X染色体变异与其父亲一致,其父亲表型正常,因此该新生儿的X染色体变异可能无临床意义,需长期随访。
高维组学数据的变量筛选方法及其应用

随着生物检测技术的不断发展,实际中可以获得基因组、蛋白质组和代谢组等各种来源的高维组学数据,如何从海量数据中准确选择与疾病有关的特征变量,从而构建准确的预测模型一直是国内外的研究热点。变量筛选问题可归结为从一组检测数据Χ = (Χ_1,Χ_2,…,Χ_m)中筛选出对分类/预测有区分作用的 “最优”子集Χ_(sub)。目前高维组学变量筛选方法主要有传统的统计学方法和机器学习方法,前者主要分为参数和非参数方法两类,这部分主要是基于概率分布的统计推断; 后者主要包括有监督学习(supervised learning)和无监督学习(unsupervised learning)算法,其主要差别为在训练集中是否用到分组信息。本文主要针对常见的单变量筛选方法和多变量有监督学习的变量筛选方法做一介绍。
Effects of yttrium under lead stress on growth and physiological characteristics of Microcystis aeruginosa

Yttrium is a main kind of rare earth elements (REEs) with wide applications in modern industry and farming. Lead has been considered to be one of the most important heavy metal pollutants due to its environmental persistence and tendency. In order to clarify the effects of REEs on cyanobacteria in case of suffering heavy metal pollutants, we investigated the effect of different concentrations of yttrium ion (Y~(3+)) on the common blue-green microalgae Microcystis aeruginosa, grown under conditions of lead ion (Pb~(2+)) stress. Growth and physiological status were tested involving several important enzyme of antioxidant defense system (superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), malondiadehyde (MDA), chlorophyll a (Chl-a), soluble sugar and Microcystin- LR (MC-LR) in cultured experiments. Results indicated that growth of M. aeruginosa was stimulated when treated less than 0.50 mg/L Y~(3+) and 0.20 mg/L is the optimum concentration. With the increasing content of Chl-a and activity of SOD, POD, CAT at the 12~(th) day at relatively low concentration of Y~(3+) treatment (≤0.20 mg/L), enhancement of photosynthesis and the improvement of eliminating active oxygen on M. aeruginosa were observed. On the contrast, soluble sugar content on algae reduced as the treatment of initial Y~(3+) concentration was in the range of 0.00-0.50 mg/L. Besides, there was a significant accumulation in both contents of MDA and MC-LR exposed from 1.00 to 5.00 mg/L Y~(3+), indicating that the ruin of antioxidant defense system and further aggravation to the existence of algal cell may be due to MC-LR releasing. M. aeruginosa might suffer a more positive physiological impact for exposure of relatively low Y~(3+) concentration against Pb~(2+) stress harm, which provided a far-reaching significance on blue-green algae research.