mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Microstructural Features and Mechanical Behaviors of Al_(0.5)Cr_(0.8)CoFeNi_(2.5)V_(0.2) High-Entropy Alloys Fabricated by Selective Laser Melting Technique

In this work, high strength and ductile Al_(0.5)Cr_(0.8)CoFeNi_(2.5)V_(0.2) high-entropy alloys (HEAs) were fabricated by the selective laser melting (SLM) technique. After orthogonal experiments, it was verified that a wide SLM processing parameter window can be used to produce crack-free samples for the investigated HEAs. All the printed HEA samples exhibit good densification higher than 98.3%. It was found that obvious epitaxial growth leads to the formation of the cylindrical and equiaxed ordered face-centered cubic (FCC) crystals, displaying the characteristics of sub-cylindrical and sub-cellular microstructures. The low-angle grain boundaries (LAGBs) prefer appearing around subgrain structures, while the high-angle grain boundaries (HAGBs) tend to form around coarse grains. Two HEA samples with high and low apparent densities were selected to observe their mechanical properties, which exhibit Vickers hardness higher than 263 HV and do not fail during compression. With increasing densification, the strength gradually rises. According to the engineering stress-strain curves during compression, the yield strength is higher than 530 MPa, while the strength near 40% engineering strain is larger than 1840 MPa. During deformation, a large density of dislocations becomes popular within subgrain structures together with the pre-existing dislocations from rapid solidification, leading to the formation of planar and cross slip bands. Within coarse cylindrical crystals, some deformation twins are also induced together with the appearance of a distinct copper-type texture during deformation. As a result, the as-printed samples display better mechanical properties than the as-cast counterpart. The present studies provide a very good HEA candidate for the SLM process, but more work should be conducted to achieve excellent comprehensive properties.
Controlling Carbide Evolution to Improve the Ductility in High Specific Young’s Modulus Steels

A high specific Young’s modulus steel could be achieved by introducing a large fraction of kappa-carbides (κ-carbide), and its ductility was improved by efficiency divorced eutectoid transformation (DET) treatment. For this steel, carbon and aluminum contents affect not only the carbide fraction, but also the type and morphology of carbides, and consequently the mechanical properties. In this work, the alloy was designed by considering both the carbide morphology and Young’s modulus, and the carbides in the high specific Young’s modulus steels were adjusted by controlling carbon content in a suitable range for achieving a good combination of strength and ductility. The detailed microstructure evolution process during DET reaction was studied, and it was found that a higher austenitizing temperature and the cooling rate lower than 300 ℃ h-1 are suitable. The blocky carbides could be avoided by designing the carbon content in a limited content range. The microstructure-property relationship of the experimental steels was also discussed for giving an impetus to the future development of high specific Young’s modulus steels.
Cartan’s Second Main Theorem and Mason’s Theorem for Jackson Difference Operator

Let f: C → P~n be a holomorphic curve of order zero. The authors establish a Jackson difference analogue of Cartan’s second main theorem for the Jackson q-Casorati determinant and introduce a truncated second main theorem of Jackson difference operator for holomorphic curves. In addition, a Jackson difference Mason’s theorem is proved by using a Jackson difference radical of a polynomial. Furthermore, they extend the Mason’s theorem for m+ 1 polynomials. Some examples are constructed to show that their results are accurate.
Elucidation of the sodiation/desodiation mechanism in Ca_(0.5)Ti_2(PO_4)_3/C as promising electrode for sodium batteries:New insights into the phase transitions

The structure evolution and electrochemical performance of NaSICON-type Ca_(0.5)Ti_2(PO_4)_3 for sodium batteries are presented.This phosphate was synthesized by a solid-state method,and the obtained particles were coated with carbon using sucrose.This compound crystallizes in the rhombohedral system with space group R-3.The presence of carbon in the Ca_(0.5)Ti_2(PO_4)_3/C composite was confirmed by Raman and Thermogravimetric analysis.The electrochemical performance of Ca_(0.5)Ti_2(PO_4)_3/C was investigated in the potential window 1.5-3.0 V vs.sodium metal at different scan rates.The compound is able to initially intercalate/deintercalate 1.6/1.15 Na per formula unit,respectively.In operando synchrotron diffraction was done in the potential window 0.02-3.0 V vs.Na|Na~+ and revealed the occurrence of several reaction regions upon first discharge.Up to 4 Na~+ ion per formula unit can be inserted during the first discharge.An intensive refinement of the synchrotron X-ray diffraction (SXRD) patterns of discharged NaxCa_(0.5)Ti_2(PO_4)_3 evidenced the existence of five regions depending on the sodium content while the crystal structures of new phases were elucidated for the first time where sodium insertion occurs in the unusual M3 and M'3 sites of the NaSICON structure.
试论陆地生态系统碳汇在"碳中和"目标中的作用

力争在2060年前实现"碳中和",是中国政府作出的重大决策.当前中国陆地生态系统碳汇大约可抵消7~ 15%的人为CO_2排放,因而在"碳中和"研究中受到广泛关注.文章基于生态系统碳循环原理,从生态系统长期动态的视角阐述了无干扰自然状态下生态系统碳汇最终趋零的变化规律,认为碳汇功能是生态系统碳收支过程响应环境变化的动态结果而非固有属性.在此基础上,分析了大气CO_2浓度升高和植树造林对中国陆地生态系统碳汇的长期影响,认为CO_2施肥导致的陆地生态系统碳汇效应将逐渐减弱,植树造林的增汇效应也将随林龄增加而规律性降低.因此,陆地生态系统碳汇在"碳中和"战略目标中的重要作用在于为工业减排赢得关键时间窗口,采取科学的植树造林、森林管理等生态工程增汇措施,可以延长生态系统碳汇服务时间.未来应加强"什么时候"和 "在哪里"植树造林等增汇路径问题研究,以期为制定行之有效的生态系统增汇政策提供依据.
高转速、大容量卧式水轮发电机组关键技术分析研究

随着我国电力装备生产结构的不断优化,水电产量持续升高,2021年水电占发电设备总量的15%,水电更是供应安全、成本经济的可再生的绿色能源。近年来,水轮发电机组的设计越来越向高水头、高转速、高效率和大容量的方向发展,采用NX NASTRAN对高转速、大容量水轮发电机的关键技术(滑动轴承流体动力润滑、通风冷却系统结构及高效稳定转轮等)进行研究,为开发高转速、大容量水轮发电机提供理论依据,对改善水轮机的综合水利性能具有重要的意义。
基于机器视觉的小模数齿轮精度参数自动化检测技术研究

针对小模数圆柱直齿轮精度参数的自动化检测问题,提出了一种基于机器视觉的检测方法。文章推导了单目视觉系统坐标转换关系,建立了齿轮精度参数测量模型。利用高分辨率工业相机和成像系统对被测齿轮进行摄像,经图像预处理、齿轮特征拟合、测量点提取、坐标转换等处理后,根据齿轮精度参数定义计算出被测齿轮的精度参数值。搭建了一套齿轮影像测量系统,用该系统对多个规格的小模数圆柱直齿轮进行了齿厚、齿距以及公法线长度等参数的测量实验,测量结果表明所提出的方法能够实现小模数齿轮精度参数的自动化测量,测量精度和测量效率都显著优于传统方法,系统测量分辨率为0.006mm,测量标准差达0.013mm。
系统性红斑狼疮早期诊断新工具——系统性红斑狼疮风险概率指数

SLE临床表现复杂,早期诊断困难,影响患者预后。目前SLE诊断仍存在巨大挑战,尤其是病程早期阶段,目前尚缺乏正式的诊断标准。基于机器学习的人工智能工具在医学领域应用越来越广泛,可用于辅助判断疾病的治疗反应、预后,但目前其在疾病诊断方面应用较少。
微波消解-电感耦合等离子体原子发射光谱法测定金红石中12种杂质元素的含量

金红石是生产TiCl_4的主要原料,TiCl_4是生产海绵钛的主要原料,金红石中杂质元素的含量决定着钛及钛合金产品的质量。目前,分析金红石多采用滴定法、重量法、分光光度法、火焰原子吸收光谱法等,具体见YS/T 514《高钛渣、金红石化学分析方法》系列。但上述方法存在前处理较复杂、分析周期长、每次只能测定一个元素等问题,不适用于金红石中多种杂质元素的快速分析。
中国老年人群营养工作十年回顾与展望

营养改善是实现健康老龄化的基石。过去的十年,是中国人口老龄化进程加速、挑战与压力不断增大的十年,也是老年人群营养状况持续改善、对营养与老年健康认识不断提升、政府和社会各界努力行动的十年。为了落实国家积极应对老龄化的战略,改善广大老年人的营养与健康状况,本文回顾了过去十年中国老年人群营养工作的成绩,剖析了问题与挑战,对未来老年人群营养改善工作提出了建议。
《能源与环境》专辑序言--催化在能源与环境中的机遇与挑战

能源与环境是现代社会发展的基础与技术变革的前沿阵地。受"碳达峰,碳中和"伟大目标牵引,清洁能源的安全获取与生态环境的改善治理是我国当下科学发展的重要议题。通过催化不但可以清洁能源的高效制造,还能实现废水、废气和废物的循环利用,是解决现有能源与环境问题的关键。近年来,面向能源和环境的热催化、光催化以及电催化技术取得了长足进步。特别是绿氢生产、燃料电池、温室气体转化利用、污染物降解、航空催化转化器等领域迎来了重大发展机遇,并取得了一些重要原创性突破。
Evaluation of the Effect of Multiparticle on Lithium-Ion Battery Performance Using an Electrochemical Model

This letter focuses on modeling the electrode heterogeneity by extending the pseudo-two-dimensional model (P2D) with actual particle- size distributions (PSD). The effects of different particle characterization techniques, including the area-weighted, volume-weighted, and number-based methods on cell dynamics are compared. The model with number-based PSD achieves better rate capability (maximum 2.0% improvement in capacity, maximum 2.6% increase in energy). Besides, the effectiveness of the multiparticle (MP) model is evaluated against the single-particle model (SPME) and P2D model under fast charging conditions. Results show that the PSD generates greater heterogeneities of cell internal states at higher C-rates current.
Distribution and impacts on the geological environment of antiviral drugs in major waters of Wuhan, China

This study investigated water samples collected from the surface water and groundwater in Wuhan City, Hubei Province, China in different stages of the outbreak of the coronavirus disease 2019 (hereinafter referred to as COVID-19) in the city, aiming to determine the distribution characteristics of antiviral drugs in the city ’s waters. The results are as follows. The main hydrochemical type of surface water and groundwater in Wuhan was Ca-HCO_3. The major chemical components in the groundwater had higher concentrations and spatial variability than those in the surface water. Two antiviral drugs and two glucocorticoids were detected in the surface water, groundwater, and sewage during the COVID-19 outbreak. Among them, chloroquine phosphate and cortisone had higher detection rates of 32.26% and 25.80%, respectively in all samples. The concentrations of residual drugs in East Lake were higher than those in other waters. The main drug detected in the waters in the later stage of the COVID-19 outbreak in Wuhan was chloroquine phosphate, whose detection rates in the surface water and the groundwater were 53.85% and 28.57%, respectively. Moreover, the detection rate and concentration of chloroquine phosphate were higher in East Lake than in Huangjia Lake. The groundwater containing chloroquine phosphate was mainly distributed along the river areas where the groundwater was highly vulnerable. The residual drugs in the surface water and the groundwater had lower concentrations in the late stage of the COVID-19 outbreak than in the middle of the outbreak, and they have not yet caused any negative impacts on the ecological environment.
Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays: Application to A Visual Servo Inverted Pendulum System

A discrete predictor-based control method is developed for a class of linear time-invariant networked control systems with a sensor-to-controller time-varying delay and a controller- to-actuator uncertain constant delay, which can be potentially applied to vision-based control systems. The control scheme is composed of a state prediction and a discrete predictor-based controller. The state prediction is used to compensate for the effect of the sensor-to-controller delay, and the system can be stabilized by the discrete predictor-based controller. Moreover, it is shown that the control scheme is also robust with respect to slight message rejections. Finally, the main theoretical results are illustrated by simulation results and experimental results based on a networked visual servo inverted pendulum system.
Unprecedented strong and reversible atomic orbital hybridization enables a highly stable Li±S battery

The shuttle effect and excessive volume change of the sulfur cathode severely impede the industrial implementation of Li-S batteries. It is still highly challenging to find an efficient way to suppress the shuttle effect and volume expansion. Here, we report, for the first time, an innovative atomic orbital hybridization concept to construct the hierarchical hollow sandwiched sulfur nanospheres with double-polyaniline layers as the cathode material for large-scale high-performance Li-S batteries. This hierarchically 3D, cross-linked and stable sulfur-polyaniline backbone with interconnected disulfide bonds provides a new type and strong intrinsic chemical confinement of sulfur owing to the atomic orbital hybridization of Li 2s, S 3p, C 2p and N 2p. Crucially, such atomic orbital hybridization of sulfur sandwiched in the double sulfur-polyaniline network is highly reversible during the discharge/charge process and can very efficiently suppress the shuttle effect and volume expansion, contributing to a very high capacity of 1142 mAh g~(-1) and an excellent stabilized capacity of 886 mAh g~(-1) at 0.2 C after 500 cycles with a suppressed volume expansion and an unprecedented electrode integrity.This innovative atomic orbital hybridization concept can be extended to the preparation of other electrode materials to eliminate the shuttle effect and volume expansion in battery technologies. The present work also provides a commercially viable and up-scalable cathode material based on this strong and highly reversible atomic orbital hybridation for large-scale high-performance Li-S batteries.
Entropy Generation and Thermal Radiation Effects on Nanofluid over Permeable Stretching Sheet

In the present paper, effects of entropy generation and nonlinear thermal radiation on Jeffery nanofluid over permeable stretching sheet with partial slip effect were analyzed. The suitable similarity transformation is utilized for the reduction of a set of governing equations, which are solved by using Differential Transformation Method (DTM) with the help of symbolic software MATHEMATICA. The accuracy of impact of slip parameter on coefficient of skin friction by using DTM and numerical method (Shooting technique with fourth-order Runge- Kutta) is illustrated and good agreement is found. Further, velocity, temperature, nanoparticle volume fraction and entropy generation profiles are shown graphically and studied in detail for various physical parameters. We notice that, as slip parameter rises the velocity and entropy generation profile rises. Enhancement in the effect of nonlinear thermal radiation reduces the entropy generation.
Commensal microbiota in the digestive tract: a review of its roles in carcinogenesis and radiotherapy

The human microflora is a complex ecosystem composed of diverse microorganisms mainly distributed in the epidermal and mucosal habitats of the entire body, including the mouth, lung, intestines, skin, and vagina. These microbial communities are involved in many essential functions, such as metabolism, immunity, host nutrition, and diseases. Recent studies have focused on the microbiota associated with cancers, particularly the oral and intestinal microbiota. Radiotherapy, the most effective cytotoxic modality available for solid tumors, contributes to the treatment of cancer patients. Mounting evidence supports that the microbiota plays pivotal roles in the efficacy and prognosis of tumor radiotherapy. Here, we review current research on the microbiota and cancer development, and describe knowledge gaps in the study of radiotherapy and the microbiota. Better understanding of the effects of the microbiome in tumorigenesis and radiotherapy will shed light on future novel prevention and treatment strategies based on modulating the microbiome in cancer patients.
The Influence of Knowledge, Trust, and Perceived Risk on Firefighters' Preparedness and Willingness to Respond to Nuclear Emergencies: The Case of South Korea

At the site of nuclear accidents, firefighters situated near nuclear power plants (NPPs) assume responsibility for suppressing fires and rescuing workers from leaked radiation. Their timely responses to nuclear emergencies can prevent or minimize the catastrophic impacts of these accidents. Despite their important role in nuclear emergency management, little is known about the factors that influence firefighters' nuclear emergency responses. We recruited 179 Korean firefighters (96% male) situated near NPPs. We examined whether and how knowledge regarding nuclear accidents and trust in the authorities operating nuclear power plants were related to firefighters' risk perceptions of nuclear accidents to predict their preparedness and willingness to respond to nuclear emergencies. Our results indicate that trust moderated the effect of knowledge on the perceived risk of nuclear accidents, and that the perceived risk mediated the relationship between knowledge and firefighters' preparedness and willingness to respond to nuclear emergencies. The results revealed a pattern of moderated mediation, in which perceived risk mediated the indirect effect of knowledge on preparedness and willingness when the firefighters' trust was low, but not when it was high.
Stochastic Responses and Bifurcations of Shape Memory Alloy Beam under Asymmetric Impacting Constraint

Shape Memory Alloy (SMA) is a new type of smart material with shape memory effect in the 21st century. In this work, the vibro-impact (VI) system is constructed for an SMA beam with asymmetric constraint. In two cases of non-impacting and impacting for Hamiltonian function, the approximate analytical results are presented by taking advantage of the stochastic averaging method. Numerical simulation emerges as the tool that verifies the obtained analytical results. In particular, the discussed results reveal that the probability response curve of the system energy demonstrates non-smooth characteristics. Moreover, the stochastic P-bifurcation and D-bifurcation can occur when the constraint position changes.
Investigation on the stability and anti-eccentric load margin of a novel structure bearing lubricated by low viscosity medium

The paper studies the anti-eccentric load margin of a novel structure bearing lubricated by low viscosity medium.The lubrication dynamic model considering journal inclination angle is established.The effects of different speeds,loads,and tilted angles on the interface attributes of the bearing under typical working conditions are studied.The results show that the special structure bearing has self-stability margin of anti-tilted and anti-eccentric load.Particularly under different speed conditions,analyses show that the eccentric load has little influence on the static/dynamic characteristics of the bearing.Under the same conditions,the stability margin of the bearing is higher than that of traditional bearings.The research provides a theoretical basis for the application of such kinds of special structure bearings.
Electromechanical coupling properties of a self-powered vibration sensing device for near-surface observation tower monitoring

The wind-induced vibration of a remote sensing tower is the key factor affecting the stability of image sensing and structural reliability.Monitoring the vibration of a long-time unattended tower is critical to its proper operation.Currently,most monitoring devices are supplied with wired power or battery,significantly limiting their practical applications in remote areas.In this paper,a self-powered vibration sensing device based on hybrid electromechanical conversion mechanisms is proposed.The device depends on a cylindrical magnetic levitation structure sensitive to ambient vibration for transferring mechanical energy and is taken as a dual-functional heterogeneous integrated system comprising electromagnetic,piezoelectric,and triboelectric generators.When the device vibrates under environmental force driving,the suspension magnet reciprocates vertically and generates induced electromagnetic energy,which is used to power the device.Moreover,the triboelectric and piezoelectric voltages,respectively originating from magnet impact on two separation friction materials and magnetic field repulsion-induced strain deformation of a piezoelectric sheet,are used as the synergistic sensing signals.To improve the output energy,a set of dualsegmented annular coils is designed in an electromagnetic generator,which greatly avoids the obstructive effect of the suspended magnet on the magnetic flux change at its end.Compared with a whole isochoric coil,it increases the output voltage by 78.3%.For the triboelectric sensing module,a silicone film with a large specific surface area is fabricated via 3D modification,which improves the output voltage by 29.4%.Furthermore,a pair of piezoelectric sensing modules is set to improve the accuracy of comparative sensing data.The experimental measurement shows that the device maintains a high sensitivity of 6.711 V (m s~(-2))~(-1) and excellent linearity of 0.991 in the range of 0-14 m s~(-2).This work provides a practical strategy for the vibration monitoring of remote sensing towers and exhibits attractive potential in early warning and data analysis.
Adaptive neural networks control for uncertain parabolic distributed parameter systems with nonlinear periodic time-varying parameter

This paper studies the problem of adaptive neural networks control (ANNC) for uncertain parabolic distributed parameter systems (DPSs) with nonlinear periodic time-varying parameter (NPTVP).Firstly,the uncertain nonlinear dynamic and unknown periodic TVP are represented by using neural networks (NNs) and Fourier series expansion (FSE),respectively.Secondly,based on the ANNC and reparameterization approaches,two control algorithms are designed to make the uncertain parabolic DPSs with NPTVP asymptotically stable.The sufficient conditions of the asymptotically stable for the resulting closed-loop systems are also derived.Finally,a simulation is carried out to verify the effectiveness of the two control algorithms designed in this work.
All-in-one strategy: overcome the challenges in the device enlargement of perovskite solar cells

In recent years, perovskite solar cells(pero-SCs) have gained tremendous development with power conversion efficiency(PCE) reaching 25.7% [1]. Based on its low process cost and high efficiency, pero-SC is now considered a strong candidate for next-generation commercial photovoltaic technology. The rapid progress of pero-SC is ascribed to the superior optoelectronic properties of perovskite materials, such as high absorption coefficient and superior ambipolar transporting ability [2]. However, like most semiconductor materials, surface defects still easily form on the surface of the perovskite active layer and cause severe non-radiative recombination, which limits the further enhancement of PCE [3]. Therefore, passivation techniques on the surface defects are required in the higher performance pero-SCs nowadays. However, realizing the uniform passivation layer on top of the large-area perovskite film is a challenge in the large-scale industrial production of pero-SCs, since the accuracy of the commercial-scale film deposition methods such as the slotdie coating cannot meet the demand of fabricating nanoscale passivation layers, and the thicker passivation layer might hinder the charge transport.
Quantum oscillations in a hexagonal boron nitride-supported single crystalline InSb nanosheet

A gated Hall-bar device is made from an epitaxially grown,free-standing InSb nanosheet on a hexagonal boron nitride (hBN) dielectric/graphite gate structure and the electron transport properties in the InSb nanosheet are studied by gatetransfer characteristic and magnetotransport measurements at low temperatures.The measurements show that the carriers in the InSb nanosheet are of electrons and the carrier density in the nanosheet can be highly effciently tuned by the graphite gate.The mobility of the electrons in the InSb nanosheet is extracted from low-feld magneotransport measurements and a value of the mobility exceeding ~ 1.8×10~4 cm~2·V~(-1)·s~(-1) is found.High-feld magentotransport measurements show welldefned Shubnikov-de Haas (SdH) oscillations in the longitudinal resistance of the InSb nanosheet.Temperature-dependent measurements of the SdH oscillations are carried out and key transport parameters,including the electron effective mass m* ~ 0.028m0 and the quantum lifetime τ ~ 0.046 ps,in the InSb nanosheet are extracted.It is for the frst time that such experimental measurements have been reported for a free-standing InSb nanosheet and the results obtained indicate that InSb nanosheet/hBN/graphite gate structures can be used to develop advanced quantum devices for novel physics studies and for quantum technology applications.