mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Clinical efficacy of tacrolimus in systemic lupus erythematosus with various manifestations: a real-world study

To the Editor: Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple systems.In recent years,the therapeutic treat-to-target (T2T) strategy was recommended for SLE.The immunosuppressive drugs are the standard of care in SLE treatment.Tacrolimus was one of the calcineurin inhibitors which was recommended in the 2019 update of the Joint European League Against Rheumatism and European Renal Association-European Dialysis and Transplant Association recommendations for the management of lupus nephritis (LN).However,few studies have focused on tacrolimus for the management of various extra-renal SLE manifestations [Supplementary Table 1,http://links.lww.com/CM9/B122].There are also no T2T data about tacrolimus in SLE.So,we conducted this single-center,prospective,real-world study to better clarify the efficacy and safety of tacrolimus in various SLE manifestations and provide T2T evidence for tacrolimus.
Inaudible Sound Covert Channel with Anti-Jamming Capability: Attacks vs. Countermeasure

When an inaudible sound covert channel (ISCC) attack is launched inside a computer system, sensitive data are converted to inaudible sound waves and then transmitted. The receiver at the other end picks up the sound signal, from which the original sensitive data can be recovered. As a forceful countermeasure against the ISCC attack, strong noise can be used to jam the channel and literally shut down any possible sound data transmission. In this paper, enhanced ISCC is proposed, whose transmission frequency can be dynamically changed. Essentially, if the transmitter detects that the covert channel is being jammed, the transmitter and receiver both will switch to another available frequency and re-establish their communications, following the proposed communications protocol. Experimental results show that the proposed enhanced ISCC can remain connected even in the presence of a strong jamming noise source. Correspondingly, a detection method based on frequency scanning is proposed to help to combat such an anti-jamming sound channel. With the proposed countermeasure, the bit error rate (BER) of the data communications over enhanced ISCC soars to more than 48%, essentially shutting down the data transmission, and thus neutralizing the security threat.
双碳背景下新型电力系统储能设计与运行

在"碳达峰、碳中和"目标背景下,未来能源及新型电力系统的研究是逐步实现"一次能源零碳化,二次能源电力化"的重要途径,在未来的电力系统中,传统煤电、燃气电等发电方式将逐步被新型电力系统所取代。但是,在测试中心环境下对研究的验证结果表明,新型电力系统的应用同样会面临新的问题,其中电力储能设计和发、损、用电的实时平衡问题最为突出。社会进步与环境保护的共同发展是中国乃至全世界能源结构调整发展的大趋势,是不得不面对和解决的客观矛盾。
浅析光伏发电在北京冬奥会中的应用

"绿色"理念穿插在北京冬奥会赛场的每个角落和环节,"绿色"理念也已经成为了北京冬奥会的代言词。在奥运场馆的建设中一直在节能、低碳能源、废弃物与废水处理等方面不断创新。其中光伏发电作为节能、低碳能源中的重要环节表现尤为突出,例如延庆赛区的山地新闻中心、迎宾廊光伏发电项目等。太阳能在再生资源范畴内,还可以称太阳能为取之不尽用之不竭的清洁能源,光伏发电在北京冬奥会中的应用是完善与发展新能源取代传统能源的展示。本文对光伏发电在体育场管应用重要价值进行分析并浅析光伏发电在北京冬奥会中的应用。
新能源电池技术在观光旅游业的应用分析

近年来,随着我国经济水平的不断发展以及人们生活质量的不断提高,更多的居民开始向往安逸、淳朴的自然旅游风光,使得我国的观光旅游业有着良好的市场前景。与此同时,由于人口流动所造成的交通堵塞以及一系列能源消耗等问题,引起了专家和学者的深入思考,人们开始提倡、宣传低碳旅游。目前,人们逐渐认识到生态环境在人类生存发展过程中占据的重要意义,在生活的方方面面融合绿色、节能、环保的理念,观光旅游业也不例外。而如何将绿色环保的新能源电池技术融入到观光旅游业的建设发展过程中,以尽可能减少人类对环境造成的破坏,成为了现阶段社会建设发展中亟待解决的问题。
Alport综合征诊疗1例

本例患者未能明确基因突变位点。但诊断Alport综合征的金标准是电子显微镜下肾小球基底膜的特征性改变。本例患者电子显微镜结果示肾小球基底膜厚薄不一,基底膜致密层增厚,部分呈撕裂状和蛛网状,结合临床表现符合Alport综合征的诊断标准。本病例提示我们,对于双眼晶状体前圆锥的患者应注意Alport综合征可能并及时进行详细检查以尽早确诊和规范治疗。
内镜下经椎间孔腰椎融合术(Endo-TLIF)研究进展

与传统开放手术相比,经椎间孔腰椎融合术(transforaminal lumbar interbody fusion,TLIF)及微创经椎间孔腰椎融合术(minimally invasive transforaminal lumbar interbody fusion,MIS-TLIF)、斜外侧腰椎融合术(oblique lumbar interbody fusion, OLIF)等微创技术具有出血少、创伤小、术后恢复快等优点,随着内镜下腰椎手术的普及,出现了镜下椎管减压等技术,可以取得与传统手术相同的效果,并且减少软组织损伤,更有利于术后恢复。近年来,经皮内镜下经椎间孔腰椎融合术(endoscopic transforaminal lumbar interbody fusion,Endo-TLIF)越来越多地用于治疗腰椎退行性疾病,此技术可通过内镜和工作通道实现完全内镜下椎间盘切除、椎管和椎孔减压、椎体间融合。本研究就近年Endo- TLIF的研究进展作一综述。
右踝巨大侵袭性纤维瘤病切除后复发1例报告

侵袭性纤维瘤病(aggressive fibromatosis, AF),也称为硬纤维瘤病或韧带样型纤维瘤病,是一种罕见的发生在筋膜、腱鞘及深部软组织的成纤维母细胞/肌纤维母细胞过度增生形成的纤维性病变,发病率约为每年每100万人5~6例,以腹膜、颈部及四肢好发,累及大关节如踝关节罕见。大关节受累可导致关节功能障碍,加之此病手术复发率较高,因此对治疗的要求更高。本文报道1例发生在右踝关节经手术切除病灶后复发经二次手术彻底清除病灶并重建了关节功能,远期随访未见再次复发的巨大侵袭性纤维瘤病,现讨论其诊疗方案。
老年2型糖尿病患者自我血糖监测依从性及影响因素研究

目的调查了解杭州市老年2型糖尿病(type 2 diabetes mellitus,T2DM)患者自我血糖监测(self-monitoring of blood glucose,SMBG)依从性水平,分析相关影响因素,为优化T2DM患者健康管理方案提供参考。方法采用便利抽样法,选取杭州市2所三甲医院门诊及住院治疗的老年T2DM患者804例作为研究对象,采用一般资料调查表、糖尿病自我效能量表、社会支持量表进行问卷调查,采用单因素分析及多因素logistic回归分析老年T2DM患者SMBG依从性相关影响因素。结果老年T2DM患者SMBG依从性达标率为17.66% (142/804) ,不同文化程度、家庭经济收入、居住方式、降糖方案、HbA1c(%)水平、SMBG健康教育、定期随访情况、自我效能评分、社会支持水平的老年T2DM患者SMBG依从性达标率有统计学差异(P均< 0.05) ; logistic回归分析发现:文化程度(OR = 3.015, 95% CI: 2.371 ~ 8.364) 、家庭人均月收入(OR = 2.902, 95% CI: 1.615 ~ 5.132) 、SMBG健康教育(OR = 1.811, 95% CI: 1.397 ~ 3.608) 、降糖方案(OR = 1.624, 95% CI: 1.204 ~ 2.815) 、HbA1c(%)水平(OR = 2.741,95% CI: 1.970 ~ 4.783) 、自我效能水平(OR = 2.830, 95% CI: 2.052 ~ 5.101) 、社会支持水平(中等水平OR = 1.365,95% CI: 1.105 ~ 2.601;高水平OR = 3.627,95% CI: 2.816 ~ 7.050)为影响SMBG的因素。结论老年T2DM患者SMBG依从性不理想,主要与患者文化程度、家庭经济收入、SMBG健康教育、治疗方案、自我效能水平、社会支持水平有关,临床应针对老年患者积极开展个体化健康教育,提高其SMBG认知及技能水平,同时重视改善患者自我效能、社会支持水平促进SMBG依从性的提升。
基于CiteSpace的生态风险评价研究进展

基于Web of Science和中国知网数据库,运用CiteSpace知识图谱可视化方法,分析国内外生态风险评价的研究进展。结果表明: (1) 1990—2020年国内外生态风险评价研究文献数量均快速增长,其中国内文献数量增长更快; (2)国内外文献作者及研究机构之间基本形成合作网络体系,中国科学院的发文量在国际位于领先地位; (3)关键词和关键词聚类可视化分析表明生态风险评价研究长期聚焦在水环境、重金属、有机化合物污染影响; (4)国内外研究重点重合度高、同步性强,均从水环境为主向水土环境与城市环境并重转变、向源解析和风险管理研究延伸,但相较之下,国内研究对风险源、质量标准研究更为重视,国外研究与生物学联系更为紧密、对于国际性话题的研究关注也更多。对当前国内生态风险评价研究的启示包括:增强研究对象多元化和国际化,检验更新各类质量标准,构建相对统一的生态风险评价框架和指标体系,科学评估区域持续发展水平和绿色发展潜力。
Copper-Based Catalysts for Electrochemical Carbon Dioxide Reduction to Multicarbon Products

Electrochemical conversion of carbon dioxide into fuel and chemicals with added value represents an appealing approach to reduce the greenhouse effect and realize a carbon-neutral cycle, which has great potential in mitigating global warming and effectively storing renewable energy. The electrochemical CO_2 reduction reaction (CO_2RR) usually involves multiproton coupling and multielectron transfer in aqueous electrolytes to form multicarbon products ( C_(2+) products), but it competes with the hydrogen evolution reaction (HER), which results in intrinsically sluggish kinetics and a complex reaction mechanism and places higher requirements on the design of catalysts. In this review, the advantages of electrochemical CO_2 reduction are briefly introduced, and then, different categories of Cu-based catalysts, including monometallic Cu catalysts, bimetallic catalysts, metal-organic frameworks (MOFs) along with MOF-derived catalysts and other catalysts, are summarized in terms of their synthesis method and conversion of CO_2 to C_(2+)products in aqueous solution. The catalytic mechanisms of these catalysts are subsequently discussed for rational design of more efficient catalysts. In response to the mechanisms, several material strategies to enhance the catalytic behaviors are proposed, including surface facet engineering, interface engineering, utilization of strong metal-support interactions and surface modification. Based on the above strategies, challenges and prospects are proposed for the future development of CO_2RR catalysts for industrial applications.
Experimental and molecular level analysis of natural ester delaying degradation of cellulose insulation polymer

Developing green insulation materials has become an important direction for future research.As a new environmental insulation liquid,natural ester can effectively delay cellulose insulation polymer ageing.Mastering the mechanism of natural ester delaying the cellulose ageing could promote its application in power transformers.In this study,based on the accelerated thermal ageing of pressboard immersed in natural ester and 25# mineral oil at 120°C for 221 days,the thermal ageing rate and the levelling off degree of polymerisation (LODP) for two kinds of oil-impregnated pressboards were compared.The molecular level mechanism of natural ester delaying cellulose degradation and keeping higher LODP value was proposed using molecular dynamics simulation.At the early stage of thermal ageing,cellulose with a higher degree of polymerisation (DP) can form many hydrogen bonds with hydronium ions,and their binding energy is stronger,which can accelerate the acid hydrolysis of cellulose,causing the DP of pressboard immersed in natural ester and mineral oil to decrease rapidly.With the breaking of the cellulose molecular chain,the number of hydrogen bonds and binding energy between cellulose and hydronium ions becomes smaller and the thermal ageing rate decreases gradually.At the end stage of ageing,it is difficult for the hydronium ions to enter the crystalline cellulose,acid hydrolysis of crystalline cellulose is hard to conduct,leading to the occurrence of the LODP phenomenon.The degradation rate of cellulose in natural ester is only 50% of that in mineral oil.The cellulose LODP value in natural ester is over 200 larger than that in mineral oil.Compared with the mineral oil-cellulose system,natural ester can form hydrogen bonds with hydronium ions and lead to fewer hydronium ions in cellulose,fewer hydrogen bonds and smaller binding energy between cellulose and hydronium ions,which can reduce the acid hydrolysis reaction of cellulose.This study provides a theoretical explanation for natural esters to delay the ageing of insulation paper.
A novel insulator defect detection scheme based on Deep Convolutional Auto-Encoder for small negative samples

This paper presents a novel insulator defect detection scheme based on Deep Convolutional Auto-Encoder (DCAE) for small negative samples.The proposed DCAE scheme combines the advantages of supervised learning and unsupervised learning.In order to reduce the high cost of training Deep Neural Networks,this paper pre-trained the Convolutional Neural Networks (CNN) through open labelled datasets.Through transferring learning,the encoder part of the traditional Convolutional Auto-Encoder was replaced by the first three layers of the CNN,and a small number of defect samples were used to fine-tune the parameters.A threshold discrimination scheme was designed to evaluate the model detection,realising the self-explosion detection of insulator by judging the residual result and abnormal score.The experimental results show that compared with the existing insulator self-explosion detection schemes,the proposed scheme can reduce the model training time by up to 40%,and the recognition accuracy can reach 97%.Moreover,this model does not need a large number of insulator labelled data and is especially suitable for small negative sample application.
Coupling Enhancement of a Flexible BiFeO_3 Film-Based Nanogenerator for Simultaneously Scavenging Light and Vibration Energies

Coupled nanogenerators have been a research hotspot due to their ability to harvest a variety of forms of energy such as light, mechanical and thermal energy and achieve a stable direct current output. Ferroelectric flms are frequently investigated for photovoltaic applications due to their unique photovoltaic properties and bandgapindependent photovoltage, while the fexoelectric efect is an electromechanical property commonly found in solid dielectrics. Here, we efectively construct a new form of coupled nanogenerator based on a fexible BiFeO_3 ferroelectric flm that combines both fexoelectric and photovoltaic efects to successfully harvest both light and vibration energies. This device converts an alternating current into a direct current and achieves a 6.2% charge enhancement and a 19.3% energy enhancement to achieve a multi-dimensional "1 + 1 >2" coupling enhancement in terms of current, charge and energy. This work proposes a new approach to the coupling of multiple energy harvesting mechanisms in ferroelectric nanogenerators and provides a new strategy to enhance the transduction efciency of fexible functional devices.
Elastic Bufering Layer on CuS Enabling High-Rate and Long-Life Sodium-Ion Storage

The latest view suggests the inactive core, surface pulverization, and polysulfde shuttling efect of metal sulfdes are responsible for their low capacity and poor cycling performance in sodium-ion batteries (SIBs). Whereas overcoming the above problems based on conventional nanoengineering is not efcient enough. In this work, erythrocyte-like CuS microspheres with an elastic bufering layer of ultrathin polyaniline (PANI) were synthesized through one-step selfassembly growth, followed by in situ polymerization of aniline. When CuS@PANI is used as anode electrode in SIBs, it delivers high capacity, ultrahigh rate capability (500 mAh g~(-1) at 0.1 A g~(-1), and 214.5 mAh g~(-1) at 40 A g~(-1)), and superior cycling life of over 7500 cycles at 20 A g~(-1). A series of in/ex situ characterization techniques were applied to investigate the structural evolution and sodium-ion storage mechanism. The PANI swollen with electrolyte can stabilize solid electrolyte interface layer, beneft the ion transport/charge transfer at the PANI/electrolyte interface, and restrain the size growth of Cu particles in confned space. Moreover, fnite element analyses and density functional simulations confrm that the PANI flm efectively bufers the volume expansion, suppresses the surface pulverization, and traps the polysulfde.
Effect of LiCoO_2 on the positive temperature coefficient effect (PTC) properties of semiconductive composites and its ability to inhibit space charge injection

The semiconductive shield layer is between the conductive core and the insulation layer of high voltage direct current transmission cables and plays an important role in suppressing the accumulation of space charge in the insulation layer.Since the prevalent positive temperature coefficient effect (PTC) of the semiconducting layer leads to cable ageing and failure,this paper proposes the use of lithium cobaltate to modify the semiconducting shield to suppress its PTC effect and improve its ability to inhibit space charge injection.The ionic conductor LiCoO_2 was prepared by the sol-gel method.LiCoO_2 particles with particle sizes ranging from tens to hundreds of nanometres were obtained by ball milling.The prepared LiCoO_2 was used as a filler to modify the carbon black (CB)/ethylene vinyl acetate copolymer (EVA)/low density polyethylene (LDPE) composites.After melt blending and moulding cross-linking,LiCoO_2/CB/EVA/LDPE semiconductive shielding specimens were successfully fabricated.Resistivity,Thermally Stimulated Depolarisation Currents (TSDC),and pulsed electroacoustic measurements were conducted for the prepared specimens.The PTC effect,which is common in polymer composites,was successfully suppressed,and the PTC strength was reduced by 17%.The resistivity of the semiconductive shielding layer was significantly reduced.The ability of the semiconducting shield to inhibit space charge injection from the conductive core to the insulation layer was significantly improved.When LiCoO_2 content is 0.5 wt%,the semiconductive shielding layer has the best performance,and the space charge in the insulation layer was reduced by 70% compared to the undoped semiconducting shield.
Computational study of some potential inhibitors of COVID-19:A DFT analysis

Background:There is an urgent demand of drug or therapy to control the COVID-19.Until July 22,2021 the worldwide total number of cases reported is more than 192 million and the total number of deaths reported is more than 4.12 million.Several countries have given emergency permission for use of repurposed drugs for the treatment of COVID-19 patients.This report presents a computational analysis on repurposing drugs-tenofovir,bepotastine,epirubicin,epoprostenol,tirazavirin,aprepitant and valrubicin,which can be potential inhibitors of the COVID-19.Method:Density functional theory (DFT) technique is applied for computation of these repurposed drug.For geometry optimization,functional B3LYP/6-311G (d,p) is selected within DFT framework.Results:DFT based descriptors-highest occupied molecular orbital (HOMO)-lowest unoccupied molecular orbital (LUMO) gap,molecular hardness,softness,electronegativity,electrophilicity index,nucleophilicity index and dipole moment of these species are computed.IR and Raman activities are also analysed and studied.The result shows that the HOMO-LUMO gap of these species varies from 1.061 eV to 5.327 eV.Compound aprepitant with a HOMOLUMO gap of 1.419 eV shows the maximum intensity of IR (786.176 km mol~(-1)) and Raman spectra (15036.702 a.u.).Conclusion:Some potential inhibitors of COVID-19 are studied by using DFT technique.This study shows that epirubicin is the most reactive compound whereas tenofovir is found to be the most stable.Further analysis and clinical trials of these compounds will provide more insight.
Performance-based firefighting in dense historic settlements: An exploration of a firefighting approach combining value and risk assessment with numerical simulation

In view of the fire problems left in dense historical settlements in China, such as fire hazards that are prone to fires, difficulties in fighting fires, and the incomplete applicability of current fire codes due to the high historical value of buildings, this paper proposes a scientific and systematic performance-based fire protection method that gives priority to value preservation. This method is applied to dense historical settlements, and the effectiveness of this method is verified by evaluating the results of fire protection planning and renovation through multiple rounds of computer numerical simulation. The results show that in a connected cluster of buildings, one of the fire retrofitting requirements in the horizontal or vertical direction needs to be met between two adjacent buildings to ensure that the fire does not spread, and the retrofitting direction has to be selected based on the value and risk assessment results. When dense historical clusters are renovated for fire prevention planning, the optimal renovation path to meet fire safety can be effectively selected based on the method proposed in this paper.
Super solutions of the model RB

Constraint satisfaction problems (CSPs) have come to play a prominent role in the area of computer science, statistical physics and information theory. A CSP instance involves a set of variables and a set of constraints, and the task is to find a solution (an assignment of variables that satisfies all the constraints) or to prove the unsolvability. Model RB is a CSP model proposed to overcome the trivial unsatisfiability of standard Model B. The satisfiability phase transition and exact threshold points have been estabilished, and the benchmarks generated from model RB have been widely used in algorithm competitions. Studies from the statistical physics perspective are also fruitful, where more sturc-tures of solution space such as clustering phase are revealed.
Adsorption and desorption of steroid hormones on saline soil

Soil organic matter content was the main driving factor affecting adsorption and desorption process of 17β-estradiol (E2) and 17α-ethynylestradiol (EE2) on saline soil. The adsorption and desorption of E2 and EE2 on three saline soils showed the similar behavior that soil with the highest organic content possessed the highest adsorption capacity and the lowest desorption capacity for E2 and EE2. The adsorption capacity of untreated soil samples (with organic matter) was larger than that of soil samples without organic matter. For soil with the largest adsorption capacity, adsorption capacity of E2/EE2 on the untreated soil and soil colloid (with organic matter) respectively reached 0.15/0.30 μg/g and 0.16/0.33 μg/g while the soil and soil colloid without organic matter hardly adsorbed pollutants. The adsorption capacity of E2/EE2 at the initial concentration of 100 μg/L was 25/15 times higher than that at the initial concentration of 5 μg/L. E2 and EE2 had the same adsorption sites on saline soil while EE2 possessed higher competition intensity for adsorption sites than E2. Pseudo-first-order model (R~2 = 0.995-0.986) and Langmuir model (R~2 = 0.989-0.999) could better fit the adsorption process of E2 or EE2. The thermodynamic study further showed that the adsorption of E2/EE2 on saline soil was a spontaneous exothermic process. The desorption capacity of EE2/E2 accounted for 40%/78% of the total adsorption capacity to possibly exert potential risk to the groundwater. The variation of the salinity led to the variation of soil organic carbon which subsequently changed the adsorption and desorption behaviors of endocrine disrupting chemicals in coastal saline soil. This study provides a new insight on the interfacial behavior of endocrine disrupting chemicals on saline soil.
Effect of Cu-ZSM-5 catalysts with different CuO particle size on selective catalytic oxidation of N,N-Dimethylformamide

N, N-Dimethylformamide (DMF), a nitrogen-containing volatile organic compound (NVOC) with high emissions from the spray industry, has attracted increasing attention. In this study, Cu-ZSM-5 catalysts with different CuO particle sizes of 3, 6, 9 and 12 nm were synthesized and tested for DMF selective catalytic oxidation. The crystal structure and physicochemical properties of the catalyst were studied by various characterization methods. The catalytic activity increases with increasing CuO particle size, and complete conversion can be achieved at 300-350 °C. The Cu-12 nm catalyst has the highest catalytic activity and can achieve complete conversion at 300 °C. The Cu-6 nm sample has the highest N_2 selectivity at lower temperatures, reaching 95% at 300 °C. The activity of the catalysts is determined by the surface CuO cluster species, the bulk CuO species and the chemisorbed surface oxygen species. The high N_2 selectivity of the catalyst is attributed to the ratio of isolated Cu~(2+) and bulk CuO species, and weak acidity is beneficial to the formation of N_2. The results in this work will provide a new design of NVOC catalytic oxidation catalysts.
Effects of manufactured nanomaterials on algae: Implications and applications

The wide application of manufactured nanomaterials (MNMs) has resulted in the inevitable release of MNMs into the aquatic environment along their life cycle. As the primary producer in aquatic ecosystems, algae play a critical role in maintaining the balance of ecosystems' energy flow, material circulation and information transmission. Thus, thoroughly understanding the biological effects of MNMs on algae as well as the underlying mechanisms is of vital importance. We conducted a comprehensive review on both positive and negative effects of MNMs on algae and thoroughly discussed the underlying mechanisms. In general, exposure to MNMs may adversely affect algae's gene expression, metabolites, photosynthesis, nitrogen fixation and growth rate. The major mechanisms of MNMs-induced inhibition are attributed to oxidative stress, mechanical damages, released metal ions and light-shielding effects. Meanwhile, the rational application of MNMs-algae interactions would promote valuable bioactive substances production as well as control biological and chemical pollutants. Our review could provide a better understanding of the biological effects of MNMs on algae and narrow the knowledge gaps on the underlying mechanisms. It would shed light on the investigation of environmental implications and applications of MNMs-algae interactions and meet the increasing demand for sustainable nanotechnology development.