mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Modelling of cantilever bank failure for peat-type meander bends in the source region of the Yellow River

Bank retreat involving a combination of fluvial erosion and bank collapse has been found to be a major contributor to sediment transport, lateral migration, and planform evolution of meandering rivers. Previous studies have largely examined the general mechanism of cantilever bank failure. However, the composite process of beam (toppling) failure caused by shear failure of the lower part composed of noncohesive soil remains poorly understood. The current paper investigates the diversity and coupling of this collapse process, which is the dominant pattern in the peat-type meandering rivers of the Zoige River basin in the source region of the Yellow River. For this purpose, morphologic and hydraulic measurements were done in the summers of 2016 and 2017. Moreover, a combined method of a theoretical model and numerical simulation was developed to be applied for a continuous meandering channel in the Zoige basin, focusing in particular on five typical cross sections of a highly convoluted bend approaching neck cutoff. Specifically, the theoretical model evaluating the stability of overhanging riverbank was based on static equilibrium theory considering the interaction between composite soil layers. In addition, the Bank Stability and Toe Erosion Model was used to simulate the retreat process of the silt layer based on field measurements including bank morphology, soil composition, and hydrological parameters. Thus, a calculation method for the occurrence of cantilever beam failure in the flood period is proposed, and temporal change and spatial variability in bank profiles caused by three consecutive failures is estimated at the five sections. Satisfactory results showed a relatively close agreement between the calculations and field measurements in terms of the width of the overhanging arms and the dimensions of the slump blocks.
氟化共价有机框架构筑氧气纳米传输通道助力锌-空气电池

“双碳”目标的提出,绿色新能源和储能设备迎来了新一轮发展的春天,而绿色新能源的研发,同时需进一步加快储能技术的发展.可充电电池是解决目前储能问题最有效的方法之一.锂电池虽然是目前最有效的能源存储设备,但随着电池技术的不断突破,锂离子电池的实际能量密度也逐渐接近于其理论上限.而且有限的锂金属资源,且易挥发、易燃和有毒有机电解质的使用更加限制了锂电池的大规模应用[1].因此,下一代大规模电化学储能装置亟待需要在高比能、可持续、低成本、易回收和高安全等维度上寻找新的突破.水系可充电电池可满足以上要求,且因其绿色环保和组装简单等优势得到科研工作者的广泛关注.
从"微生物组"到"微生物群系":microbiome译名变化背后应是研究思路与手段的彻底变革

为了反映中国科学院学部第117次"科学与技术前沿论坛"的研讨成果,本专辑中使用了"微生物群系"作为"microbiome"的中文译名,而不是大家耳熟能详的"微生物组".Microbiome有关研究是一个方兴未艾的国际前沿领域,既孕育着重大的理论突破,也预示着广阔的应用前景.为什么在大家已经普遍习惯了使用"微生物组"作为"microbiome"的中文译名的今天,要改称为"微生物群系"?
癌症患儿自我报告结局评估工具的研究进展

据统计,每年全球有近40万儿童确诊癌症,且发病率呈逐年上升趋势[1];且据报道[2],我国儿童癌症发病率每年以2.8%的速度增长。尽管诊疗技术的进步使患儿5年生存率有了极大的提高,但长期癌症治疗严重影响了患儿的身心健康和生活质量[3]。随着现代医学模式的发展,倾听患儿声音、从患儿角度评估其健康结局的理念已逐渐受到国内外学者的关注和认可[4]。癌症患儿自我报告结局(patient-reported outcomes,PROs)是指未经医务人员或照顾者等他人解释、直接来自患儿对其自身健康状况和疾病治疗效果的报告,是国际公认的评估患儿疾病感受的“金标准”[5]。为准确、可靠地评估癌症患儿以指导临床决策和症状管理,国外已开发出多种特异性自我报告结局评估工具(patientreported outcome measures,PROMs),而国内相关研究尚处于起步阶段。因此,本研究就癌症患儿PROMs进行综述,以期为国内学者研制及规范应用相关工具提供借鉴。
Proanthocyanidins prevent tau protein aggregation and disintegrate tau filaments

Occurrence of neurofibrillary tangles of the tau protein is a hallmark of tau-related neurodegenerative diseases, i.e. Alzheimer's disease(AD) and frontotemporal dementia. The pathological mechanism underlying AD remains poorly understood, and effective treatments are still unavailable to mitigate the disease. Inhibiting of tau aggregation and disrupting the existing fibrils are key targets in drug discovery towards preventing or curing AD. In this study, grape seed proanthocyanidins(GSPs) was found to effectively inhibit the repeat domain of tau(tau-RD) aggregation and disaggregate tau-RD fibrils in a concentrationdependent manner by inhibiting β-sheet formation of tau-RD. In cells, GSPs relieved cytotoxicity induced by tau-RD aggregates. Molecular dynamics simulations indicated that strong hydrogen bonding, hydrophobic interaction and π-π stacking between GSPs and tau-RD protein were major reasons why GSPs had high inhibitory activity on tau-RD fibrillogenesis. These results provide preliminary data to develop GSPs into medicines, foodstuffs or nutritional supplements for AD patients, suggesting that GSPs could be a candidate molecule in the drug design for AD therapeutics.
Withdrawal Intention of Farmers from Vacant Rural Homesteads and Its Influencing Mechanism in Northeast China: A Case Study of Jilin Province

The effective use of land in Northeast China is of great significance for ensuring national food security and regional rural revitalization. In this study, based on the survey data collected from Jilin Province, Northeast China, we analyzed the vacancy rates of rural homesteads in suburban, outer suburban, and remote villages, as well as the withdrawal intention of rural-settled farmers, urbansettled farmers, and farmers with urban and rural dual residency from vacant homesteads. From the perspective of farmers’ perceptions, this study constructed a theoretical framework of the influence mechanism of their withdrawal intention and analyzed such mechanism by constructing a structural equation model. The results indicated that: 1) rural homestead vacancy rates increased with distance from the village to the city. 2) rural-settled farmers showed a low withdrawal intention for vacant rural homesteads, followed by urban and rural dual-residence farmers, and urban-settled farmers showed the highest withdrawal intention. 3) the relative importance of the factors influencing withdrawal intention is in the following order: policy awareness > interest perception > living environment perception > family characteristics. Finally, this study discussed the reformation of the homestead system and rural homestead transition in Northeast China, which can provide policy support to increase the potential of cultivated land and promote sustainable rural development and urban-rural coordination.
Effects of Hydrogen Charging on Mechanical Properties of CLAM Steel at Different Strain Rates

The China low-activation martensitic(CLAM) steel has been proposed as a candidate structural material for nuclear fusion reactors. It is essential to study the influence of hydrogen charging and strain rate on the tensile behavior of CLAM steel considering its service environment. In this study, CLAM steel was investigated using tensile tests operated at room temperature before and after hydrogen charging. The results showed that the elongation loss increased significantly with the increase of the hydrogen charging current density at either a low or a high strain rate, which is related to the hydrogen content in the steel. The hydride was systematically studied, including the morphology and the thermal stability as well as the effects on mechanical properties. The possible mechanism of the formation of hydride during hydrogen charging has been analyzed based on the interaction between alloying elements and hydrogen.
Biochemical mechanism of erastin-induced ferroptotic cell death in neuronal cells

Ferroptosis is a new form of nonapoptotic cell death closely associated with glutathione (GSH) peroxidase 4 inhibition and/or GSH depletion,resulting in the accumulation of cellular iron and lipid peroxides.The exact mechanism by which GSH depletion causes the accumulation of reactive oxygen species (ROS) and lipid-ROS and subsequent ferroptotic cell death in neuronal cells remains unclear.In the present study,using immortalized HT22 mouse hippocampal neuronal cells as a model,we show that nitric oxide (NO) accumulation via protein disulfide isomerase (PDI)-mediated neuronal nitric oxide synthase (nNOS) activation plays a critical role in chemically-induced ferroptosis.Mechanistically,we find that erastininduced GSH depletion leads to activation of PDI,which then mediates ferroptosis by catalyzing nNOS dimerization,followed by accumulation of cellular NO,ROS and lipidROS and ultimately ferroptotic cell death.Pharmacological inhibition of PDI enzymatic activity or selective PDI knockdown can effectively abrogate erastin-induced ferroptosis in HT22 cells.The results of this study reveal an important role of PDI in mediating chemically induced ferroptosis in a neuronal cell model,and PDI may serve as a potential drug target for protection against GSH depletion-associated ferroptotic neuronal cell death.
Relationships between Springtime Sea Surface Temperatures in Different Indian Ocean Domains and Various Asian Monsoons from Late Spring to the Following Summer

We investigate the relative importance of spring sea surface temperatures (SSTs) in different Indian Ocean (IO) domains, especially the northern and southern IO, for the development and intensity of the Asian summer monsoon. By performing unsupervised neural network analysis, the self-organizing map, we extract distinct patterns of springtime IO SST. The results show that the uniform warming (cooling) of the southern IO plays a crucial role in the warming (cooling) of both the basin-wide IO and tropical IO. The southern IO thus well represents the associations of basinwide IO and tropical IO with the Asian summer monsoon, and is instrumental in the relationship between the IO and summer monsoon. A warming in the southern IO is closely related to the weakening of large-scale meridional monsoon circulation in May and summer (June-August), including suppression of the South Asian monsoon development in May and the East Asian monsoon in summer. On the other hand, a warming in the northern IO appears to be associated with an earlier South Asian monsoon onset and a stronger East Asian monsoon. In summer, the connection of the springtime IO SST with the South Asian monsoon weakens, but that with the East Asian monsoon strengthens. Finally, a robust negative correlation is found between the warming of various IO domains and the development and intensity of the Southeast Asian monsoon.
A systematic review of occupational exposure to respirable coal mine dust (RCMD) in the U.S. mining industry

Cumulative inhalation of respirable coal mine dust (RCMD) can lead to severe lung diseases, including coal worker's pneumoconiosis (CWP), silicosis, mixed dust pneumoconiosis, dust-related diffuse fibrosis (DDF), and progressive massive fibrosis (PMF). Statistics from the number of reported cases showed a significant decrease in the progression of respiratory diseases in the 1990s. However, an unexpected increase in the number of CWP cases was reported in the late 1990s. To date, there has been no comprehensive systematic review to assess all contributing factors to the resurgence of CWP cases. This study aims to investigate the effects of various mining parameters on the prevalence of CWP in coal mines. A systematic review using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) method was conducted to investigate the health effects of RCMD exposure and identify the factors that may contribute to the recent resurgence of CWP cases. The systematic review yielded a total of 401 papers, which were added to the database. The total number of 148 and 208 papers were excluded from the database in the process of screening and eligibility, respectively. Then, 18 papers were considered for data selection and full-text assessment. The review revealed that factors including geographic location, mine size, mining operation type, coal-seam thickness, coal rank, changes in mining practices, technology advancement, and engineering dust control practices are contributing to the recent resurgence of CWP among coal workers. However, the evidence for root causes is limited owing to the methodological constraints of the studies;therefore, further detailed studies are needed.
A branch-and-price algorithm to perform single-machine scheduling for additive manufacturing

Additive manufacturing (AM) has attracted significant attention in recent years based on its wide range of applications and growing demand. AM offers the advantages of production flexibility and design freedom. In this study, we considered a practical variant of the batch-processing-machine (BPM) scheduling problem that arises in AM industries, where an AM machine can process multiple parts simultaneously, as long as the twodimensional rectangular packing constraint is not violated. Based on the set-partitioning formulation of our mixed-integer programming (MIP) model, a branch-and-price (B&P) algorithm was developed by embedding a column-generation technique into a branchand-bound framework. Additionally, a novel labelling algorithm was developed to accelerate the column-generation process. Ours is the first study to provide a B&P algorithm to solve the BPM scheduling problem in the AM industry. We tested the performance of our algorithm using a modern MIP solver (Gurobi) and real data from a 3D printing factory. The results demonstrate that for most instances tested, our algorithm produces results similar or identical to those of Gurobi with reasonable computation time and outperforms Gurobi in terms of solution quality and running time on some large instances.
Ringing spectroscopy in the magnomechanical system

The ringing phenomenon has been studied in optical whispering gallery mode (WGM) resonators and can be used to sense the ultrafast process in spectroscopy. Here we observe the ringing phenomenon in a magnomechanical system for the first time, which is induced by the interference between the microwave photons converted from the damped phonons and the probing microwave photons. This interference eventually appears as a transparency window even along with the ringing phenomenon in the measured microwave reflection spectrum, which is influenced by the scanning speed and the input power. Then, the ringing spectroscopy is used to measure the coupling strength between the magnon and phonon modes, and outline the displacement profile of S_(1,2,2) mechanical mode in a YIG microsphere, demonstrating the theoretical analysis. In addition, the ring-up spectroscopy is developed in our magnomechanical system, laying the foundation for fast sensing based on mechanical motion.
Reversible Zn/polymer heterogeneous anode

Commercialization of Zn-metal anodes with low cost and high theoretical capacity is hindered by the poor reversibility caused by dendrites growth, side reactions, and the slow Zn~(2+)-transport and reaction kinetics. Herein, a reversible heterogeneous electrode of Zn-nanocrystallites/polyvinylphosphonic acrylamide (Zn/PPAm) with fast electrochemical kinetics is designed for the first time: phosphonic acid groups with strong polarity and chelation effect ensure structural reversibility and stability of the threedimensional Zn-storage-host PPAm network and the Zn/PPAm hybrid; hydrophobic carbon chains suppress side reactions such as hydrogen evolution and corrosion; weak electron-donating amide groups constitute Zn~(2+)-transport channels and promote "desolvation" and "solvation" effects of Zn~(2+) by dragging the PPAm network on the Zn-metal surface to compress/stretch during Zn plating/stripping, respectively; and the heterostructure and Zn nanocrystallites suppress dendrite growth and enhance electrochemical reactivity, respectively. Thus, the Zn/PPAm electrode shows cycle reversibility of over 6000 h with a hysteresis voltage as low as 31 mV in symmetrical cells and excellent durability and flexibility in fiber-shaped batteries.
Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization

Most multimodal multi-objective evolutionary algorithms(MMEAs)aim to find all global Pareto optimal sets(PSs)for a multimodal multi-objective optimization problem(MMOP). However, in real-world problems, decision makers(DMs)may be also interested in local PSs. Also, searching for both global and local PSs is more general in view of dealing with MMOPs, which can be seen as generalized MMOPs. Moreover, most state-of-theart MMEAs exhibit poor convergence on high-dimension MMOPs and are unable to deal with constrained MMOPs. To address the above issues, we present a novel multimodal multiobjective coevolutionary algorithm(CoMMEA)to better produce both global and local PSs, and simultaneously, to improve the convergence performance in dealing with high-dimension MMOPs. Specifically, the CoMMEA introduces two archives to the search process, and coevolves them simultaneously through effective knowledge transfer. The convergence archive assists the CoMMEA to quickly approach the Pareto optimal front. The knowledge of the converged solutions is then transferred to the diversity archive which utilizes the local convergence indicator and the -dominance-based method to obtain global and local PSs effectively. Experimental results show that CoMMEA is competitive compared to seven state-of-the-art MMEAs on fifty-four complex MMOPs.
Fundamental Limits of Doppler Shift-Based, ToA-Based, and TDoA-Based Underwater Localization

Dear Editor, This paper is concerned with the underwater localization based on acoustic signals. Specifically, we will focus on the search of an underwater target that can constantly broadcast a beacon signal, such as a black box. Common measurements for localization are Doppler shift [1], time of arrival(ToA)[2]-[4], time difference of arrival(TDoA)[5], [6], angle of arrival(AoA)[7], etc. In this paper we will investigate the fundamental limits of Doppler shift-Based, ToABased, TDoA-based underwater localization. Note that AoA is not covered, because Doppler shift can be viewed as one type of AoA. The discussion will focus on short-baseline positioning with a mobile anchor, i.e., an autonomous underwater vehicle(AUV). Due to the large distance and the limited battery life of the AUV, the target is quite likely to lie outside the convex hull of the AUV's trajectory. In such cases, we will show that accurate localization is almost impossible by exclusively dependent on a single type of measurements. However, system performance will be significantly improved by combing Doppler shift with ToA or TDoA measurements. The reason for such improvement will be unveiled theoretically and numerically in this letter.
肺髓脂肪瘤1例

综上所述,肺髓脂肪瘤是一种通常无临床症状的罕见良性肿瘤。目前其发病机制尚不明确,通过影像学表现及实验室检查诊断此病存在一定的挑战,确诊仍需组织病理学检查。治疗上,对于无症状患者,只需定期随访,而当病灶体积较大产生症状或与恶性肿瘤难以鉴别时,手术切除是最佳选择。本例患者行右肺中叶切除术后,一般情况良好,随访至今无复发及转移。
外阴血管肌纤维母细胞瘤MRI表现1例

该文报道了1例经手术病理证实的外阴血管肌纤维母细胞瘤。MRI表现为外阴边界清楚的孤立性肿块,与周围肌肉相比,T_1WI呈低信号,T_2WI呈不均匀高信号,DWI呈高信号,ADC图显示扩散不受限,增强扫描呈明显不均匀渐进性强化,不伴有邻近组织浸润及淋巴结转移。
伴最大牙尖交错位与正中关系位不调的成人骨性Ⅱ类错牙合畸形的诊疗策略

临床上,成人骨性Ⅱ类错常常伴随着最大牙尖交错位与正中关系位不调,部分病例还伴有不同程度的颞下颌关节紊乱病症状,其发病机制的复杂性与临床表现的多样性给这类病例的矫治方案制定带来了巨大的挑战,成功的治疗有赖于系统的检查、明确的诊断、多学科联合治疗的思维、科学的治疗方案与有效的治疗手段。该文基于文献汇总及本团队近年来临床多学科会诊与治疗经验,对成人骨性Ⅱ类错畸形伴最大牙尖交错位与正中关系位不调、伴或不伴颞下颌关节紊乱病的复杂病例诊疗进展及思路进行归纳总结,提出了一个多学科协作的诊疗方案及流程,以期为相关临床多学科诊疗标准程序的制定提供参考。
温度和水活度对柏子仁黄曲霉毒素含量变化的影响

目的探讨温度和水活度对柏子仁黄曲霉毒素含量的影响,为确定适宜储藏条件提供参考。方法以生化培养箱为载体,设置不同温度(20、25、28、32、36、40、42 ℃),基于饱和盐溶液预平衡法设置不同水活度(0.80、0.85、0.90、0.92、0.94、0.98),采用免疫亲和净化高效液相色谱技术联合质谱法(IAC-HPLC-QQQ-MS/MS)测定不同温度和水活度下4种黄曲霉毒素(黄曲霉毒素B_1、B_2、G_1、G_2)的含量。结果温度和水活度均能影响柏子仁黄曲霉毒素含量,20、42 ℃时无任何黄曲霉毒素产生。除低温、高温及低水活度条件除外,其余均检出黄曲霉毒素B_1,部分条件检出黄曲霉毒素B_2,所有条件下均无黄曲霉毒素G_1和黄曲霉毒素G_2产生。柏子仁黄曲霉最适产毒条件为28 ℃和0.90水活度。结论柏子仁加工后应及时干燥,并在干燥、通风环境中储藏。控制温度在20 ℃以下、水活度低于0.80,可使柏子仁不产生黄曲霉毒素,确保临床用药安全。
基于文献计量和遗传算法的土地利用优化研究进展

以Web of Science数据库中1999-2022年(截止2022年1月22日)关于遗传算法与土地利用的164篇英文和27篇中文文献为数据源,基于文献计量方法,对每年中英文发文量、文献来源国家、中英文文献学科方向、中英文载文期刊进行分析,探究基于遗传算法的土地利用优化的总体研究概况,然后利用CiteSpace软件对作者和研究机构合作网络、关键词共现网络和文献共被引网络进行可视化,分析研究热点。研究发现,①基于遗传算法的土地利用优化研究整体呈上升趋势,中国(包括港澳台地区)、美国、伊朗是发文量前三国家,研究属于环境、地理和规划的交叉领域。②研究者间形成了2个较大规模的合作网络和众多中小规模的合作网络,处于核心地位的研究机构来自发文量前十的国家。③绿色基础设施是重要的研究对象,多目标优化是主要的优化模型,与其它技术,如粒子群算法的结合和对比为重要的研究方向。④风力能源规划、自然环境保护、海绵城市规划、生物多样性、交通规划、规划支持系统构建是重要的研究内容,主要的研究方法包括带约束的多目标优化和空间优化模型。
炎症性横纹肌母细胞肿瘤3例临床病理学分析

目的探讨炎症性横纹肌母细胞肿瘤的临床病理学特征。方法回顾性分析2例富含组织细胞横纹肌母细胞肿瘤(HRRMT)及1例炎症性横纹肌母细胞肿瘤(IRMT)的组织形态学及免疫表型特点,并复习相关文献。结果3例肿块均境界清楚,2例实性,1例囊实性。镜下见纤维性假包膜,肿瘤细胞梭形、上皮样、横纹肌母细胞样,伴大量炎症细胞、组织细胞浸润。肿瘤细胞显示程度不等的多形性,但核分裂象罕见,未见肿瘤性坏死。免疫表型:肿瘤细胞强阳性表达结蛋白(3/3);程度不等地表达骨骼肌标志物(Myogenin或MyoD1),其中1例约20%肿瘤细胞表达平滑肌肌动蛋白(SMA);均不表达间变性淋巴瘤激酶(ALK,D5F3);Ki-67阳性指数5%~10%。结论IRMT是新近描述的中间型/交界性横纹肌肿瘤,诊断依赖于形态学及免疫组织化学,熟悉其临床病理特征有助于认识这一新类型的肿瘤。
Adaptive Uniform Performance Control of Strict-Feedback Nonlinear Systems With Time-Varying Control Gain

In this paper, we present a novel adaptive performance control approach for strict-feedback nonparametric systems with unknown time-varying control coefficients, which mainly includes the following steps. Firstly, by introducing several key transformation functions and selecting the initial value of the time-varying scaling function, the symmetric prescribed performance with global and semi-global properties can be handled uniformly, without the need for control re-design. Secondly, to handle the problem of unknown time-varying control coefficient with an unknown sign, we propose an enhanced Nussbaum function (ENF) bearing some unique properties and characteristics, with which the complex stability analysis based on specific Nussbaum functions as commonly used is no longer required. Thirdly, by utilizing the core-function information technique, the nonparametric uncertainties in the system are gracefully handled so that no approximator is required. Furthermore, simulation results verify the effectiveness and benefits of the approach.
Numerical simulation of the sensor output on Macau Science Satellite-1

Macau Science Satellite-1(MSS-1)will be launched at the early of 2023 into a near-circular orbit. The mission is designed to measure the Earth's geomagnetic field with unpreceded accuracy through a new perspective. The most important component installed on the satellite, to ensure high accuracy, is the deployable boom(Optical Bench). A Vector Field Magnetometer(VFM), an Advanced Stellar Compass(ASC), and a Couple Dark State Magnetometers(CDSM)are deployed on the deployable boom. In order to maximize the mission's scientific output, a numerical simulator on MSS-1's deployable boom was required to evaluate the adaptability of all devices on the deployable boom and assist the satellite's data pre-processing. This paper first briefly describes the synthesis of the Earth's total magnetic field and then describes the method simulating the output of scalar and vector magnetometers. Finally, the calibration method is applied to the synthetic magnetometer data to analyze the possible noise/error of the relevant instruments. Our results show that the simulator can imitate the disturbance of different noise sources or errors in the measuring system, and is especially useful for the satellite's data processing group.
Self-supervised graph learning with target-adaptive masking for session-based recommendation

Session-based recommendation aims to predict the next item based on a user's limited interactions within a short period. Existing approaches use mainly recurrent neural networks (RNNs) or graph neural networks (GNNs) to model the sequential patterns or the transition relationships between items. However, such models either ignore the over-smoothing issue of GNNs, or directly use cross-entropy loss with a softmax layer for model optimization, which easily results in the over-fitting problem. To tackle the above issues, we propose a self-supervised graph learning with target-adaptive masking (SGL-TM) method. Specifically, we first construct a global graph based on all involved sessions and subsequently capture the self-supervised signals from the global connections between items, which helps supervise the model in generating accurate representations of items in the ongoing session. After that, we calculate the main supervised loss by comparing the ground truth with the predicted scores of items adjusted by our designed target-adaptive masking module. Finally, we combine the main supervised component with the auxiliary self-supervision module to obtain the final loss for optimizing the model parameters. Extensive experimental results from two benchmark datasets, Gowalla and Diginetica, indicate that SGL-TM can outperform state-of-the-art baselines in terms of Recall@20 and MRR@20, especially in short sessions.