mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Pediatric interfacility transport eff ects on mortality and length of stay

Background We aimed to evaluate the eff ects of interfacility pediatric critical care transport response time,physician presence during transport,and mode of transport on mortality and length of stay(LOS)among pediatric patients.We hypothesized that a shorter response time and helicopter transports,but not physician presence,are associated with lower mortality and a shorter LOS.Methods Retrospective,single-center,cohort study of 841 patients(<19 years)transported to a quaternary pediatric intensive care unit and cardiovascular intensive care unit between 2014 and 2018 utilizing patient charts and transport records.Multivariate linear and logistic regression analyses adjusted for age,diagnosis,mode of transport,response time,stabilization time,return duration,mortality risk(pediatric index of mortality-2 and pediatric risk of mortality-3),and inotrope,vasopressor,or mechanical ventilation presence on admission.Results Four hundred and twenty-eight(50.9%)patients were transported by helicopter,and 413(49.1%)were transported by ambulance.Physicians accompanied 239(28.4%)transports.The median response time was 2.0(interquartile range 1.4-2.9)hours.Although physician presence increased the median response time by 0.26 hours(P = 0.020),neither physician presence nor response time signifi cantly aff ected mortality,ICU length of stay(ILOS)or hospital length of stay(HLOS).Helicopter transports were not signifi cantly associated with mortality or ILOS,but were associated with a longer HLOS(3.24 days,95% confi dence interval 0.59-5.90)than ambulance transports(P = 0.017).Conclusions These results suggest response time and physician presence do not signifi cantly aff ect mortality or LOS.This may refl ect the quality of pre-transport care and medical control communication.Helicopter transports were only associated with a longer HLOS.Our analysis provides a framework for examining transport workforce needs and associated costs.
Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India

The Subarnarekha River in east India experiences frequent high magnitude flooding in monsoon season. In this study, we present an in-depth analysis of flood hydrology and GIS-based flood susceptibility mapping of the entire catchment. About 40 years of annual peak discharge data, historical cross-sections of different gauging sites, and 12 flood conditioning factors were considered. Our flood susceptibility mapping followed an expert knowledge-based multi-parametric analytical hierarchy process (AHP) and optimized AHP-VIP methods. Peak hydrology data indicated more than 5 times higher discharge contrasted with the mean streamflow of the peak monsoon month in all hydro-monitoring stations that correspond to possible overbank flooding in the shallow semi-alluvial reaches of the Subarnarekha River. Widthdepth ratio revealed continuous changes on the channel cross-sections at decadal scale in all gauging sites. Predicted flood susceptibility map through optimized AHP-VIP method showed a great amount of areas (38%) have a high probability of flooding and demands earnest attention of administrative bodies. The AHP-VIP based flood susceptibility map was theoritically validated through AUC approach and it showed fairly high accuracy (AUC = 0.93). Our study offers an exceptionally cost and time effective solution to the flooding issues in the Subarnarekha basin.
Phase-field study of spinodal decomposition under effect of grain boundary

Grain boundary directed spinodal decomposition has a substantial effect on the microstructure evolution and properties of polycrystalline alloys.The morphological selection mechanism of spinodal decomposition at grain boundaries is a major challenge to reveal,and remains elusive so far.In this work,the effect of grain boundaries on spinodal decomposition is investigated by using the phase-field model.The simulation results indicate that the spinodal morphology at the grain boundary is anisotropic bicontinuous microstructures different from the isotropic continuous microstructures of spinodal decomposition in the bulk phase.Moreover,at grain boundaries with higher energy,the decomposed phases are alternating α/β layers that are parallel to the grain boundary.On the contrary,alternating α/β layers are perpendicular to the grain boundary.
Helium-hydrogen synergistic effects on swelling in in-situ multiple-ion beams irradiated steels

The development of reliable fusion energy is one of the most important challenges in this century.The accelerated degradation of structural materials in fusion reactors caused by neutron irradiation would cause severe problems.Due to the lack of suitable fusion neutron testing facilities,we have to rely on ion irradiation experiments to test candidate materials in fusion reactors.Moreover,fusion neutron irradiation effects are accompanied by the simultaneous transmutation production of helium and hydrogen.One important method to study the He-H synergistic effects in materials is multiple simultaneous ion beams(MSIB)irradiation that has been studied for decades.To date,there is no convincing conclusion on these He-H synergistic effects among these experiments.Recently,a multiple ion beam in-situ transmission electron microscopy(TEM)analysis facility was developed in Xiamen University(XIAMEN facility),which is the first triple beam system and the only in-running in-situ irradiation facility with TEM in China.In this work,we conducted the first high-temperature triple simultaneous ion beams irradiation experiment with TEM observation using the XIAMEN facility.The responses to in-situ triple-ion beams irradiation in austenitic steel 304L SS and ferritic/martensitic steel CLF-1 were studied and compared with the results in dual-and single-ion beam(s)irradiated steels.Synergistic effects were observed in MSIB irradiated steels.Helium was found to be critical for cavity formation,while hydrogen has strong synergistic effect on increasing swelling.
Evolution of helium bubbles in nickel-based alloy by post-implantation annealing

Nickel-based alloys have been considered as candidate structural materials used in generation IV nuclear reactors serving at high temperatures.In the present study,alloy 617 was irradiated with 180-keV helium ions to a fluence of 3.6×10~(17) ions/cm~2 at room temperature.Throughout the cross-section transmission electron microscopy(TEM)image,numerous over-pressurized helium bubbles in spherical shape are observed with the actual concentration profile a little deeper than the SRIM predicted result.Post-implantation annealing was conducted at 700 ℃ for 2 h to investigate the bubble evolution.The long-range migration of helium bubbles occurred during the annealing process,which makes the bubbles of the peak region transform into a faceted shape as well.Then the coarsening mechanism of helium bubbles at different depths is discussed and related to the migration and coalescence(MC)mechanism.With the diffusion of nickel atoms slowed down by the alloy elements,the migration and coalescence of bubbles are suppressed in alloy 617,leading to a better helium irradiation resistance.
Introducing the general condition for an operator in curved space to be unitary

We investigate the general condition for an operator to be unitary.This condition is introduced according to the definition of the position operator in curved space.In a particular case,we discuss the concept of translation operator in curved space followed by its relation with an anti-Hermitian generator.Also we introduce a universal formula for adjoint of an arbitrary linear operator.Our procedure in this paper is totally different from others,as we explore a general approach based only on the algebra of the operators.Our approach is only discussed for the translation operators in one-dimensional space and not for general operators.
Reduced Firing of Nucleus Accumbens Parvalbumin Interneurons Impairs Risk Avoidance in DISC1 Transgenic Mice

A strong animal survival instinct is to approach objects and situations that are of benefit and to avoid risk. In humans, a large proportion of mental disorders are accompanied by impairments in risk avoidance. One of the most important genes involved in mental disorders is disrupted-in-schizophrenia-1 (DISC1), and animal models in which this gene has some level of dysfunction show emotion-related impairments. However, it is not known whether DISC1 mouse models have an impairment in avoiding potential risks. In the present study, we used DISC1-N terminal truncation (DISC1-NTM) mice to investigate risk avoidance and found that these mice were impaired in risk avoidance on the elevated plus maze (EPM) and showed reduced social preference in a threechamber social interaction test. Following EPM tests, c-Fos expression levels indicated that the nucleus accumbens (NAc) was associated with risk-avoidance behavior in DISC1-NTM mice. In addition, in vivo electrophysiological recordings following tamoxifen administration showed that the firing rates of fast-spiking neurons (FS) in the NAc were significantly lower in DISC1-NTM mice than in wildtype (WT) mice. In addition, in vitro patch clamp recording revealed that the frequency of action potentials stimulated by current injection was lower in parvalbumin (PV) neurons in the NAc of DISC1-NTM mice than in WT controls. The impairment of risk avoidance in DISC1-NTM mice was rescued using optogenetic tools that activated NAcPV neurons. Finally, inhibition of the activity of NAcPV neurons in PV-Cre mice mimicked the riskavoidance impairment found in DISC1-NTM mice during tests on the elevated zero maze. Taken together, our findings confirm an impairment in risk avoidance in DISC1-NTM mice and suggest that reduced excitability of NAcPV neurons is responsible.
Bargaining strategy of oil companies in international oil and gas development ProjectseBased on a bilateral bargaining model

Bargaining between the host country and oil companies is very common to international oil and gas development projects. The existence of information asymmetry gives the host country an endogenous bargaining advantage. Foreign oil companies might change their unfavorable negotiating position by changing the order of bidding and adjusting bidding strategies. This paper introduces both factors into a bilateral bargaining model to study the impact of information asymmetry and bidding order on the strategy and equilibrium returns of oil companies. According to the ownership of the right to bid first, two scenarios are designed for the model to compare the equilibrium returns of the host country and oil companies. The results show that: 1) There is a first-mover advantage in the process of bilateral bidding, so oil companies better bid first; 2) The information asymmetry will lead to a higher nominal income ratio of oil companies and a lower nominal income ratio of the host country, but it doesn't affect the total income ratio at all.
Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit

Prediction of primary quality variables in real time with adaptation capability for varying process conditions is a critical task in process industries. This article focuses on the development of non-linear adaptive soft sensors for prediction of naphtha initial boiling point (IBP) and end boiling point (EBP) in crude distillation unit. In this work, adaptive inferential sensors with linear and non-linear local models are reported based on recursive just in time learning (JITL) approach. The different types of local models designed are locally weighted regression (LWR), multiple linear regression (MLR), partial least squares regression (PLS) and support vector regression (SVR). In addition to model development, the effect of relevant dataset size on model prediction accuracy and model computation time is also investigated. Results show that the JITL model based on support vector regression with iterative single data algorithm optimization (ISDA) local model (JITL-SVR:ISDA) yielded best prediction accuracy in reasonable computation time.
Study on the thixotropy and structural recovery characteristics of waxy crude oil emulsion

Waxy crude oil emulsion has thixotropic properties at the temperature near gel point, which is a macromechanical characterization of the structure failure and recovery of waxy crude oil emulsion. In this paper, the thixotropic behaviors of waxy crude oil emulsion near gel point were studied using hysteresis loop formed by stress linear increase and decrease, as well as the structural recovery characteristics. The influence of the loading conditions and water content on the thixotropy of waxy crude oil emulsion were analyzed with hysteresis loop area. The concept of “structural recovery” was introduced to study the degree of structural recovery after different stewing, and influencing factors were taken into account. Results have shown that for waxy crude oil emulsion, the failure to fully restore of the structure after lysis is the cause of the formation of hysteresis loop, and the loading conditions will not affect the strength of thixotropy and the degree of structural recovery. Additionally, the dispersed phase droplets weaken the thixotropy and structure recovery characteristics of waxy crude oil emulsion, and the greater the water content, the weaker the thixotropy. The findings can help to better understand the safe and economic operation of waxy crude oil-water pipeline transportation.
Temporal Airy-Talbot effect in linear optical potentials

We investigate the Airy-Talbot effect of an Airy pulse train in time-dependent linear potentials.The parabolic trajectory of self-imaging depends on both the dispersion sign and the linear potential gradient.By imposing linear phase modulations on the pulse train,the Airy-Talbot effects accompanied with positive and negative refractions are realized.For an input composed of stationary Airy pulses,the self-imaging follows straight lines,and the Airy-Talbot distance can be engineered by varying the linear potential gradient.The effect is also achieved in symmetric linear potentials.The study provides opportunities to control the self-imaging of aperiodic optical fields in time dimension.
Corrosion Behaviors of Nitride Coatings on Titanium Alloy in NaCl-Induced Hot Corrosion

TiN and TiAlN coatings were deposited by arc ion plating on titanium alloys to study their hot corrosion resistance when they were exposed to NaCl at 600 ℃. The microstructure and corrosion behaviors of nitride coatings were studied using scanning electron microscope, X-ray diff raction, electro-probe microanalyzer and X-ray photoelectron spectroscopy. The results showed that nitride coatings with the diff erent compositions and the ones with the same composition but diff erent thicknesses presented diff erent hot corrosion resistance. TiN and thin TiAlN coatings showed poor corrosion resistance. Serious internal oxidation attacked the alloy substrate. Their corrosion products were mainly consisted of non-protective TiO 2 and sodium salt. By contrast, the thick TiAlN coating presented outstanding corrosion resistance. Besides sodium salt, the corrosion products were composed of protective Al 2 O 3. The increasing thickness of TiAlN signifi cantly enhanced the hot corrosion resistance. The corrosion mechanisms of alloy, TiN and TiAlN coatings were discussed in detail.
Identification of Critical Components of Complex Product Based on Hybrid Intuitionistic Fuzzy Set and Improved Mahalanobis-Taguchi System

To avoid the decrease of system reliability due to insufficient component maintenance and the resource waste caused by excessive component maintenance, identifying the critical components of complex products is an effective way to improve the efficiency of maintenance activities. Existing studies on identifying critical components of complex products are mainly from two aspects i.e., topological properties and functional properties, respectively. In this paper, we combine these two aspects to establish a hybrid intuitionistic fuzzy set to incorporate the different types of attribute values. Considering the mutual correlation between attributes, a combination of AHP (Analytic Hierarchy Process) and Improved Mahalanobis-Taguchi System (MTS) is used to determine the λ-Shapley fuzzy measures for attributes. Then, the λ-Shapley Choquet integral intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is proposed for calculating the closeness degrees of components to generate their ranking order. Finally, a case study which is about the right gear of airbus 320 is taken as an example to verify the feasibility and effectiveness of this method. This novel methodology can effectively solve the critical components identification problem with different types of evaluation information and completely unknown weight information of attributes, which provides the implementation of protection measures for the system reliability of complex products.
Global sensitivity and uncertainty analysis of the VIP ecosystem model with an expanded soil nitrogen module for winter wheat-summer maize rotation system in the North China Plain

Accurately simulating the soil nitrogen (N) cycle is crucial for assessing food security and resource utilization efficiency. The accuracy of model predictions relies heavily on model parameterization. The sensitivity and uncertainty of the simulations of soil N cycle of winter wheat-summer maize rotation system in the North China Plain (NCP) to the parameters were analyzed. First, the N module in the Vegetation Interface Processes (VIP) model was expanded to capture the dynamics of soil N cycle calibrated with field measurements in three ecological stations from 2000 to 2015. Second, the Morris and Sobol' algorithms were adopted to identify the sensitive parameters that impact soil nitrate stock, denitrification rate, and ammonia volatilization rate. Finally, the shuffled complex evolution developed at the University of Arizona (SCE-UA) algorithm was used to optimize the selected sensitive parameters to improve prediction accuracy. The results showed that the sensitive parameters related to soil nitrate stock included the potential nitrification rate, Michaelis constant, microbial C/N ratio, and slow humus C/N ratio, the sensitive parameters related to denitrification rate were the potential denitrification rate, Michaelis constant, and N_2O production rate, and the sensitive parameters related to ammonia volatilization rate included the coefficient of ammonia volatilization exchange and potential nitrification rate. Based on the optimized parameters, prediction efficiency was notably increased with the highest coefficient of determination being approximately 0.8. Moreover, the average relative interval length at the 95% confidence level for soil nitrate stock, denitrification rate, and ammonia volatilization rate were 11.92, 0.008, and 4.26, respectively, and the percentages of coverage of the measured values in the 95% confidence interval were 68%, 86%, and 92%, respectively. By identifying sensitive parameters related to soil N, the expanded VIP model optimized by the SCE-UA algorithm can effectively simulate the dynamics of soil nitrate stock, denitrification rate, and ammonia volatilization rate in the NCP.
Dynamics of Sutterby fluid flow due to a spinning stretching disk with non-Fourier/Fick heat and mass flux models

The magnetohydrodynamic Sutterby fluid flow instigated by a spinning stretchable disk is modeled in this study.The Stefan blowing and heat and mass flux aspects are incorporated in the thermal phenomenon.The conventional models for heat and mass flux,i.e.,Fourier and Fick models,are modified using the Cattaneo-Christov(CC)model for the more accurate modeling of the process.The boundary layer equations that govern this problem are solved using the apt similarity variables.The subsequent system of equations is tackled by the Runge-Kutta-Fehlberg(RKF)scheme.The graphical visualizations of the results are discussed with the physical significance.The rates of mass and heat transmission are evaluated for the augmentation in the pertinent parameters.The Stefan blowing leads to more species diffusion which in turn increases the concentration field of the fluid.The external magnetism is observed to decrease the velocity field.Also,more thermal relaxation leads to a lower thermal field which is due to the increased time required to transfer the heat among fluid particles.The heat transport is enhanced by the stretching of the rotating disk.
Application research of narrow band Internet of things buoy and surface hydrodynamics monitoring

This paper applies the narrow band Internet of things communication technology to develop a wireless network equipment and communication system, which can quickly set up a network with a radius of 100 km on water surface. A disposable micro buoy based on narrow-band Internet of things and Beidou positioning function is also developed and used to collect surface hydrodynamic data online. In addition, a web-based public service platform is designed for the analysis and visualization of the data collected by buoys. Combined with the satellite remote sensing data, the study carries a series of marine experiments and studies such as sediment deposition tracking and garbage floating tracking.
Porewater-derived dissolved inorganic carbon and nutrient fluxes in a saltmarsh of the Changjiang River Estuary

Saltmarshes are one of the most productive ecosystems, which contribute significantly to coastal nutrient and carbon budgets. However, limited information is available on soil nutrient and carbon losses via porewater exchange in saltmarshes. Here, porewater exchange and associated fluxes of nutrients and dissolved inorganic carbon (DIC) in the largest saltmarsh wetland (Chongming Dongtan) in the Changjiang River Estuary were quantified. Porewater exchange rate was estimated to be (37±35) cm/d during December 2017 using a radon (~(222)Rn) mass balance model. The porewater exchange delivered 67 mmol/(m~2·d), 38 mmol/(m~2·d) and 2 690 mmol/(m~2·d) of dissolved inorganic nitrogen (DIN), dissolved silicon (DSi) and DIC into the coastal waters, respectively. The dominant species of porewater DIN was NH_4~+ (>99% of DIN). However, different with those in other ecosystems, the dissolved inorganic phosphorus (DIP) concentration in saltmarsh porewater was significantly lower than that in surface water, indicating that saltmarshes seem to be a DIP sink in Chongming Dongtan. The porewater-derived DIN, DSi and DIC accounted for 12%, 5% and 18% of the riverine inputs, which are important components of coastal nutrient and carbon budgets. Furthermore, porewater-drived nutrients had obviously high N/P ratios (160–3 995), indicating that the porewater exchange process may change the nutrient characteristics of the Changjiang River Estuary and further alter the coastal ecological environment.
腺样体和扁桃体菌群研究进展

腺样体和扁桃体疾病在儿科人群中具有很高的发病率。腺样体肥大与分泌性中耳炎(OME)有关,扁桃体肥大与复发性扁桃体炎(recurrent tonsillitis,RT)和阻塞性睡眠呼吸暂停(OSA)有关。腺样体和扁桃体菌群在上呼吸道各种感染性和非感染性疾病的发生发展中有重要作用。以往对腺样体和扁桃体菌群多样性的分析主要是基于培养,因此不能提供完整的微生物多样性评估。不依赖培养的基于16S核糖体RNA编码基因(16S rDNA)的高通量测序技术近年来被用于确定腺样体和扁桃体表面和组织内的微生物群,使人们能够更深入地认识腺样体和扁桃体菌群。本文介绍了测定腺样体和扁桃体菌群的技术,并总结了应用这些技术的相关研究结果。
腰骶椎结核分型手术治疗的经验

[目的]探讨腰骶椎结核手术的治疗效果,提出临床分型,以指导手术决策。[方法]回顾性分析2014年1月— 2019年1月腰骶椎结核15例患者的临床资料,男9例,女6例;年龄24~65岁。观察治疗效果,并进行分型。[结果]一型以S1椎体破坏为主,行腰椎髂骨内固定术,共7例。二型以L5椎体破坏为主,行腰骶椎椎弓根螺钉固定术,共5例。三型以L5S1椎间隙破坏为主合并椎管内脓肿,行常规腰骶椎椎弓根螺钉固定术,共3例。所有患者均顺利完成手术,术中无神经、血管损伤等严重并发症,1例患者后方切口感染,经过清创后愈合。所有患者均获随访,随访时间1.52~6.53年,平均(3.67± 1.04)年。末次随访VAS评分、ODI较术前明显改善(P<0.001)。末次随访拍摄X线片,仅1例为纤维融合,其余均为骨性融合。[结论]腰骶椎结核分型有益于指导手术方式及融合节段,可提高治疗效果。
UHPLC-MS/MS法对人参和枸杞配伍中皂苷类成分定性和定量分析

目的通过UHPLC-MS/MS法对人参和枸杞配伍中人参皂苷成分进行定性和定量分析。方法分析采用C18色谱柱(2.1 mm×150 mm,1.7 μm);柱温35 ℃;流动相0.1%甲酸水-乙腈,梯度洗脱;体积流量0.2 mL/min。采用电喷雾离子源(ESI),喷雾电压3.0 kV,透镜电压100 V;毛细管电压32 V;负离子模式,质量扫描范围m/z 100 ~ 2 200;鞘气体积流量30.0 L/min;辅助气体积流量10.0 L/min;毛细管温度320 ℃。结果共鉴定了20种人参皂苷,测定了10种人参皂苷含量,并比较了人参和枸杞不同煎煮方式对其含量的影响。结论本实验建立了一种稳定快速的人参皂苷类成分的定性和定量分析方法,可为人参配伍质量控制以及人参皂苷类成分经济价值的开发提供数据支持。