mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Natural Mg silicates with different structures and morphologies:Reaction with K to produce K_2MgSiO_4 catalyst for biodiesel production

In this work, different magnesium silicate mineral samples based on antigorite, lizardite, chrysotile(which have the same general formula Mg_3Si_2O_5(OH)_4), and talc(Mg_3Si_4O_(10)(OH)_2)were reacted with KOH to prepare catalysts for biodiesel production.Simple impregnation with 20wt% K and treatment at 700-900°C led to a solid-state reaction to mainly form the K_2MgSiO_4 phase in all samples.These results indicate that the K ion can diffuse into the different Mg silicate structures and textures, likely through intercalation in the interlayer space of the different mineral samples followed by dehydroxylation and K_2MgSiO_4 formation.All the materials showed catalytic activity for the transesterification of soybean oil(1:6 of oil:methanol molar ratio, 5wt% of catalyst, 60°C).However, the best results were obtained for the antigorite and chrysotile precursors, which are discussed in terms of mineral structure and the more efficient formation of the active phase K_2MgSiO_4.
乳腺癌相关淋巴水肿预防的研究进展

乳腺癌相关淋巴水肿是乳腺癌综合治疗后的常见并发症之一,也是乳腺癌患者全程管理中的重要组成部分,严重影响患者的身心健康与生活质量。笔者通过文献回顾,从乳腺癌相关淋巴水肿相关危险因素及手术与非手术预防方法等方面进行了全面的总结,并结合临床工作的现状,分析了相关问题。研究表明乳腺癌相关淋巴水肿的非手术预防至关重要,而手术预防仍有安全性和可行性等方面的考量。医护人员需运用多种预防手段帮助乳腺癌患者,并提供科学有效的信息支持。
终末期肝病合并血流感染1例

终末期肝病指各种慢性肝病的晚期阶段,主要表现为肝功能严重受损和失代偿。终末期肝病合并血流感染常继发于局部感染。血流感染可诱发或加重终末期肝病,同时抗菌药物的不当使用亦可加重肝损害。如何精准有效的使用抗菌药物,减少耐药细菌的产生,改善终末期肝病合并血流感染患者的预后是临床治疗中比较棘手的问题。现将我院收治的1例终末期肝病合并血流感染患者的诊治过程作一回顾。
Valuable Data Extraction for Resistivity Imaging Logging Interpretation

Imaging logging has become a popular means of well logging because it can visually represent the lithologic and structural characteristics of strata. The manual interpretation of imaging logging is affected by the limitations of the naked eye and experiential factors. As a result, manual interpretation accuracy is low. Therefore, it is highly useful to develop effective automatic imaging logging interpretation by machine learning. Resistivity imaging logging is the most widely used technology for imaging logging. In this paper, we propose an automatic extraction procedure for the geological features in resistivity imaging logging images. This procedure is based on machine learning and achieves good results in practical applications. Acknowledging that the existence of valueless data significantly affects the recognition effect, we propose three strategies for the identification of valueless data based on binary classification. We compare the effect of the three strategies both on an experimental dataset and in a production environment, and find that the merging method is the best performing of the three strategies. It effectively identifies the valueless data in the well logging images, thus significantly improving the automatic recognition effect of geological features in resistivity logging images.
Relay Selection Scheme for AF System with Partial CSI and Optimal Stopping Theory

Relay selection for Relay Assisted (RA) networks is an economical and effective method to improve the spectrum efficiency. Relay selection performs especially well when the source node has accurate and timely Channel State Information (CSI). However, since perfect CSI knowledge is rarely available, research of relay selection with partial (statistical) CSI is of paramount importance. In this paper, relay selection for RA networks with statistical CSI is formulated as a Multiple-Decision (MD) problem. And, the cost of obtaining the CSI is also considered in the formulated problem. Two relay selection schemes, Maximal Selection Probability (MSP) and Maximal Spectrum Efficiency Expectation (MSEE), are proposed to solve the formulated MD problem under different optimal criteria assumptions based on the optimal stopping theory. The MSP scheme maximizes the probability that the Best Assisted Relay Candidate (BARC) can be selected, whereas the MSEE scheme provides the maximal expectation of the spectrum efficiency. Experimental results show that the proposed schemes effectively improve the spectrum efficiency, and the MSEE scheme is more suitable for stable communication cases. Meanwhile, the MSP scheme is more suitable for burst communication cases.
Effects of Ti and Cu on the Microstructure Evolution of AlCoCrFeNi High-Entropy Alloy During Heat Treatment

The microstructure evolution of AlCoCrFeNiTi_(0.5) alloy and AlCoCrFeNiCu alloy during heat treatment was systematically studied, to reveal the influence rules of chemical activity of adding element on the microstructure evolution of AlCoCrFeNi system. Owing to the negative mixing enthalpy with the constituent elements, Ti element was mainly dissolved in the Al–Nirich phases, and aggravated the lattice distortion of B2 phase. The structure variation of BCC phase by adding Ti inhibited the formation of FCC phase and enhanced the precipitation of σ phase during heat treatment. Owing to the positive mixing enthalpy with constituent elements, Cu element tended to be repelled to the ID region and formed metastable Cu-rich FCC1 phase which would transform into Cu–Al–Ni-rich FCC2 phase with increasing temperature. The addition of Cu inhibited the precipitation of σ phase during heat treatment. Adding Ti maintained the stable dendritic morphology, while adding Cu reduced the thermal stability of microstructure. Two dramatic morphology changes occurred at 1000 °C and 1100 °C in the AlCoCrFeNiCu alloy. The lattice distortion of phase in AlCoCrFeNiTi_(0.5) alloy was aggravated with increasing temperature up to 800 °C, then relaxed together with the dissolution of σ phase when temperature was above 900 °C. The variation in lattice distortion dominated the hardness of AlCoCrFeNiTi_(0.5) alloy. With increasing heating temperature, the increasing volume fraction of region with FCC structure due to the transformation between FCC phases, and the pronounced coarsening in microstructure due to the reduced thermal stability, resulted in the mainly decreasing trend in the hardness of AlCo- CrFeNiCu alloy.
子宫内膜癌保留生育治疗失败合并原发卵巢癌伴林奇综合征1例

综上所述,本例子宫内膜癌患者保留生育治疗后病理无反应,胚系基因检测提示MMR缺陷,诊断林奇综合征,术后病理诊断为子宫内膜和卵巢同时原发性双癌。保留生育多为未生育的年轻内膜癌患者的诉求,但相较年老患者,合并卵巢同时性肿瘤的风险增高,因此需要术前严格评估,必要时腹腔镜探查。提倡对年轻内膜癌女性进行遗传评估,检测MMR蛋白或MSI情况,必要时进行相关基因检测。合并林奇综合征的患者能否保留生育,以及MMR缺陷对孕激素保留生育治疗疗效的影响,还需进一步研究。
美国、英国、加拿大、澳大利亚和新西兰前次剖宫产后阴道分娩指南简介

对于符合条件的孕妇,剖宫产后阴道分娩可缩短住院时间、减少住院费用和降低手术风险等。本文简要介绍美国妇产科医师学会(ACOG)、英国皇家妇产科医师学会(RCOG)、加拿大妇产科医师学会(SOGC)、澳大利亚和新西兰皇家妇产科医师学会(RANZCOG)有关前次剖宫产后阴道分娩的指南,为有剖宫产史再次妊娠的孕妇提供分娩方式的指导,同时为相关产前和产时诊疗提供循证医学证据。
重新认识血清糖类抗原724的临床应用价值

糖类抗原72-4(CA72-4)是目前临床上应用较多的1种肿瘤标志物,最早用于胃癌和卵巢癌的辅助诊断和病情监测,可单独或联合其他肿瘤标志物用于结直肠癌、胰腺癌、肺癌、乳腺癌等恶性肿瘤的诊断和随访监测。然而,在临床实践中,CA72-4诊断恶性肿瘤的灵敏度和特异度均偏低,其水平在胃肠息肉、2型糖尿病、结缔组织病等良性疾病,以及服用秋水仙碱、灵芝孢子等药物时也可升高,可能对临床决策产生误导。因此,应重新认识CA72-4的应用价值,以更好地指导临床决策和肿瘤筛查。
Electron-acoustic supernonlinear waves and their multistability in the framework of the nonlinear Schrodinger equation

Finite-amplitude supernonlinear electron-acoustic waves(EAWs)are investigated under the nonlinear Schrodinger(NLS)equation in a plasma system that is composed of cold electron fluid, immobile ions and q-nonextensive hot electrons.Using the wave transfiguration, the NLS equation is deduced in a dynamical system.The presence of finite-amplitude nonlinear and supernonlinear EAWs is shown by phase plane analysis.The effects of the nonextensive parameter(q)and the speed of waves(v)on different traveling wave solutions of EAWs are presented.Furthermore, by introducing a small external periodic force in the dynamical system,multistability behaviors of EAWs under the NLS equation are shown for the first time in classical plasmas.
“3P"路径诊断特发性肺动脉高压

近年来肺高血压越来越受到重视,其与多个学科数十种疾病相关。目前根据病因不同将肺高血压分为五大类,许多中心不同学科相继开展了肺高血压的分类诊断与治疗,然而分类诊断的准确率有待进一步提高。尤其是特发性肺动脉高压(IPAH),作为第一大类肺动脉高压的一个亚型,其诊断需排除所有其他类型肺高血压以及其他亚型肺动脉高压,是肺高血压诊断中的难点和重点。该文提出了“3P”诊断路径以确诊IPAH,以期提高临床上IPAH诊断的准确率。
High-resolution angle-Doppler imaging by sparse recovery of underwater acoustic signals

The low resolution of Fourier two-dimensional spatial temporal spectrum estimation and the insufficient sample size of sonar space time sampling data often caused difficulties in high-resolution space time spectrum estimation. Aiming to solve this problem, we proposed a high-resolution angle-Doppler imaging method and designed an anti-reverberation space time filter based on the sparse recovery of underwater acoustic signals. The proposed imaging method established the spatial temporal sparse representation model of array signal under the condition of few observation samples of single measurement vector (SMV), and reconstructed the high-resolution angle-Doppler profile of echo and reverberation through the matching pursuit (MP) algorithm and basis pursuit (BP) algorithm. By utilizing the space time distribution characteristics of echo and reverberation and the prior information of sonar rangecell under test (RUT), a reverberation dictionary composed of special space time guidance vectors was designed, and was used to reconstruct the reverberation and formed an anti-reverberation space time filter to suppress the reverberation interference of angle-Doppler plane. Computer simulations indicated that, under two conditions of forward and side-view array of moving sonar, the single measurement vector of sonar array was successfully used in the reverberation background to reconstruct the high-resolution angle-Doppler profile of low-speed moving target multi-spot echo. Its frequency resolution had a better performance than the Fourier resolution and the angle resolution broke through the Rayleigh limit of the array, the resolution was obviously superior to the Fourier space time spectrum estimation.
A novel computational framework for establishment of atomic mobility database directly from composition profiles and its uncertainty quantification

In this work, a novel computational framework for establishment of atomic mobility database directly from the experimental composition profiles and its uncertainty quantification was developed by merging the Bayesian inference with the Markov chain Monte Carlo algorithm into the latest version of the HitDIC software. By treating the simulation of composition profiles with the composition-dependent coefficients as the forward problem, the inverse coefficient problem that provides the potential way to compute the atomic mobilities directly from composition profiles can be postulated. The values and uncertainties of the atomic mobility parameters of interest were assessed by means of Bayesian inference, where the composition profiles were consumed directly. Benchmark tests that consider the number of diffusion couples and the noise levels were conducted. Practical application of the current framework in determination of atomic mobility descriptions of fcc Ni-Ta and Ni-Al-Ta alloys was performed. Further discussion about the results of the benchmark tests and practical study case indicated that the present computational framework together with numbers of composition profiles from the multiple diffusion couples can help to establish the high-quality atomic mobility database of the target multicomponent alloys.
Microstructure, tensile properties and mechanical anisotropy of selective laser melted 304L stainless steel

The microstructure and mechanical properties of304 L stainless steel fabricated by selective laser melting are investigated in this study. With the optimized laser processing parameters, a relative density of 99.9% is achieved with fine austenite grains and nanoscale cellular subgrains in size of approximately 0.5 µm. The presence of δ-ferrite and σ phase precipitates is identified by the x-ray diffraction and transmission electron microscopy. Moreover, the microstructure is identified as an austenite matrix with about 4% δ ferrite and a trace amount of σ phase by using electron backscattered diffraction analysis. These small σ phase particles are mainly distributed along austenite grain boundaries. Furthermore, the presence of nanoscale cellular subgrains contributes to the good tensile strength and ductility of the selective laser melted 304 L, along with precipitate strengthening and strain hardening. Tensile property anisotropy is also identified in this 304 L, which is attributed to the microstructure difference on vertical and horizontal planes.
Achieving strong microwave absorption capability and wide absorption bandwidth through a combination of high entropy rare earth silicide carbides/rare earth oxides

Developing electromagnetic (EM) wave absorbing materials with low reflection coefficient and optimal operating frequency band is urgently needed on account of the increasingly serious EM pollution. However, the applications of common EM absorbing materials are encumbered by poor high-temperature stability, poor oxidation resistance, narrow absorption bandwidth or high density. Herein, the strong EM absorption capability and wide efficient absorption bandwidth of high entropy ceramics are reported for the first time, which are designed by a combination of the novel high entropy (HE) rare earth silicide carbides/rare earth oxides (RE_3Si_2C_2/RE_2O_3). Three HE powders, i.e., HERSC-1 (HE (Tm_(0.2)Y_(0.2)Dy_(0.2)Gd_(0.2)Tb_(0.2))_3Si_2C_2), HERSC-2 HE (Tm_(0.2)Y_(0.2)Pr_(0.2)Gd_(0.2)Dy_(0.2))_3Si_2C_2/HE (Tm_(0.2)Y_(0.2)Pr_(0.2)Gd_(0.2)Dy_(0.2))_2O_3) and HERSC-3 (HE (Tm_(0.2)Y_(0.2)Pr_(0.2)Gd_(0.2)Tb_(0.2))_3Si_2C_2/HE (Tm_(0.2)Y_(0.2)Pr_(0.2)Gd_(0.2)Tb_(0.2))_2O_3), are synthesized. Although HERSC-1 exhibits a limited absorption effect (the minimum reflection loss (RL_(min))) is -11.6 dB at 3.4 mm) and a relatively narrow effective absorption bandwidth (EAB) of 1.7 GHz, the optimal absorption RL_(min) value and EAB of HERSC-2 and HERSC-3 are -40.7 dB (at 2.9 mm), 3.4 GHz and-50.9 dB (at 2.0 mm), 4.5 GHz, respectively, demonstrating strong microwave absorption capability and wide absorption bandwidth. Considering the better stability, low density and strong EM absorption effect, HE ceramics are promising as a new type of EM absorbing materials.
Land use transition and rural spatial governance:Mechanism,framework and perspectives

The pattern for utilization of rural space is closely related to rural transformation development(RTD).The problem of rural space utilization is an important manifestation of the uncoordinated relationship between land use patterns and rural development status during a transformation period.Considering the rural space utilization issue,this article seeks to analyze the interaction mechanisms between land use transition(LUT)and rural spatial governance and then build a rural spatial governance analysis framework based on LUT.Also,the paper explores the internal relationship between rural spatial governance and rural vitalization and discusses the research prospective of the interaction.The study found that:(1)Rural space utilization has systemic problems such as limited development space,ill-defined ownership and poor organization,which have become important obstacles for rural development.(2)The uncoordinated relationship between LUT and RTD is an important reason for the dilemma surrounding rural space utilization.(3)The LUT provides a basis for determining the timing of rural spatial governance,specifying spatial governance objectives,and clarifying rural spatial governance methods.(4)The construction of a comprehensive analysis framework of “matter-ownership-organization” of rural space based on the LUT has created conditions for the orderly promotion of rural spatial governance.(5)Rural spatial governance which facilitates the integration of urban-rural development is an important foundation for rural vitalization.(6)Interaction analysis of LUT,RTD and rural spatial governance is conducive to facilitating research on the operational mechanism of rural regional systems and to expanding the research field of rural geography.
Short-term effects of different fire severities on soil properties and Pinus halepensis regeneration

Considering that diverse fire severities can affect soil properties differently,the aim of this study was to examine to what extent changes in soil properties caused by fire could condition seedling establishment.This new approach is for identifying a new fire cause-effect chain to qualify the impacts of fire on soils with the purpose of using fire as a tool in forest management to favour Pinus halepensis Mill.regeneration.The study area was a reforested P.halepensis area which had been crossed by fire for 78.8 ha,causing various degrees of damage.The forest was subdivided into three large areas according to the gravity of crown scorch,[low(LS),medium(MS)and high(HS)severity],on the basis of needle yellowing which usually occurs after exposure to direct flames.Results showed significant differences in soil properties with respect to fire severity.In the HS area,total nitrogen and carbon were considerably reduced while ash and phosphorus contents significantly increased.The changes in soil properties,in particular to nutrient levels,affected P.halepensis regeneration,mainly the first year after the fire.Greater regeneration occurred in areas affected by moderate fire severity in which the temperatures reached increased the mineralization of soil organic matter with the consequent release of nutrients available for seedling growth.Additionally,moderate fire severity suppressed the regeneration of grasses,reducing the interspecific competition.Heights of seedlings were inversely proportional to the density of grasses.Where the number was abundant(LS),the height was modest;conversely,where the number was low(HS),the greater hypsometric differentiation of pine seedlings was observed.These results suggest that moderate fire severity represents an environmental stress(hormesis)altering microscale conditions to increase pine germination and establishment.The exposure of P.halpensis to a moderate environmental factor that is damaging at higher intensities,induces an adaptive beneficial effect on seedling regeneration.This data can re-evaluate the assertion that coniferous burned areas,if left unmanaged,would remain unproductive for an indefinite period.
Site testing campaign for the Large Optical/infrared Telescope of China: general introduction of the Daocheng site

The Daocheng site is one of the three candidate sites for the Large Optical/infrared Telescope(LOT)of China.It was discovered by Yunnan Observatories during the survey of potential sites for the next-generation large-aperture solar telescopes of China.This paper describes the overview of the site, the observation platform and the monitor instrument.In addition, simple statistical results are presented(from November, 2016 up to December, 2017).Detailed data results can refer to the overview of LOT site testing and data analysis articles, which were published during the same period.
Semitransparent perovskite solar cells for smart windows

Smart windows, whose transparency can be tuned dynamically and even reversibly changed from transparent to opaque, have been the focus of research since the 1970s [1]. For one thing, smart windows can control the transmission of sunlight into the building, achieving energy savings by balancing the cooling load with the energy requirements of lighting and heating. For another, opaque glass walls act like curtains to protect privacy. The existence of smart windows reduces dependence on manual intervention, and motivates people's lives to become intelligent. The electrochromic windows, whose color can be reversibly changed by applying a small external electric field, have been investigated for use on Boeing 787 Dreamliner airplane [2]. The electrochromic windows are undoubtedly effective, but lack of advantages in inconsistent light-shielding, long-term non-durability and high cost. Thermochromic windows, whose color can be switched by the application of local temperature, have been also investigated. However, such technologies have limitations in impractical hightemperature heating conditions and relatively low light-dark contrast. Besides, the above-mentioned smart windows require external source of energy, thereby failing to achieve the purpose of saving energy. If the photoelectric conversion of solar cells and intelligent control of light transmission are tactfully combined in smart windows, the situation will be changed qualitatively [3]. To date, semitransparent photovoltaics have been proven to be used in power generation windows that provide power output, shading and even heat insulation effect [4,5], but rarely referring to color switch characteristics. Therefore, it is highly desirable to integrate both functions composed of color-adjustment and power-generation to develop semitransparent photovoltaics as smart windows.
Quantifying electron-transfer in liquid-solid contact electrification

Since the triboelectric nanogenerator(TENG)was invented by Prof.Zhong Lin Wang's group in 2012,triboelectric power has gradually attracted the attention of researchers as a new energy harvesting technology.So far,TENGs have entered many fields,and have made breakthrough progress in the applications.At present,Prof.Zhong Lin Wang has pointed out that the working nature of TENG is based on the combined effect of contact electrification and displacement current [1].When related to contact electrification,although several experimental results have provided clear evidence that electrons are dominant carriers in contact electrification between solids,there is still difficulty in illustrating the contact electrification between solid and liquid purely counting on electrons.
A leap towards high performance quantum dot solar cells

Lead halide perovskites in the form of nanocrystalline quantum dots(QDs)have emerged as a new class of semiconductor materials for photovoltaics(PVs)and optoelectronics.Thanks to the nanoscale size-induced lattice strain and enhanced contribution from the surface energy [1],perovskite QDs have shown superior phase stability at room temperature over their thin film bulk counterparts offering a promising strategy to significantly increase stability and hence lifetime of the perovskite devices.Other notable advantages including wider compositional tunability,smaller voltage loss and unprecedented device architectures make perovskite QDs a promising candidate for developing QD-based tandems and tandems with other perovskites or silicon [2,3].In addition,perovskite QDs allow easier scale-up and more rapid manufacturing by decoupling grain-crystallization from film-deposition.When incorporated in PV devices,cesium and formamidinium lead triiodide(CsPbI_3 and FAPbI_3)QDs have yielded promising power conversion efficiencies(PCEs)with a previous record of 13.4% [2],outperforming traditional chalcogenide QD solar cells(QDSCs).Nevertheless,the susceptible nature of CsPbI_3 and FAPbI_3 QDs towards moisture and polar solvents [1,4] makes it difficult to further increase the PCEs.The mixed-cation Cs_(1-x)FA_xPbI_3 QDs with entropically stabilized perovskite structure were then explored,but the reported multinary QDs suffer from low optoelectronic quality resulting in even deteriorated efficiency [5] and perovskite QDSCs still lag far behind those of the state-of-the-art thin film devices in PCE.