mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Meter Reading Aggregation Scheme with Universally Symbolic Analysis for Smart Grid

Millions of smart meters have been installed all around the world so far. The reported meter readings are conducive for utility companies to provide high quality of service. To efficiently and securely make use of those readings, data aggregation has been widely studied. Lu et al. proposed an Efficient and privacypreserving aggregation (EPPA) scheme for secure smart grid communications in recent years. Unfortunately, we found a man-in-the-middle attack to the EPPA scheme in this paper. We then propose a new meter reading aggregation scheme, namely Universally composable meter reading aggregation (UCMRA) scheme, in order to resist against that attack. Moreover, we give a universally composable symbolic analysis to prove the security for UCMRA scheme. This proof also enables the UCMRA scheme to adopt an alternative cryptographic primitive arbitrarily, as long as the primitive meets the requirements of the corresponding ideal functionality. Finally, the experiment results show that the performance of the UCMRA scheme is almost as good as that of the EPPA scheme.
Construction Method of Shape Adjustable Bezier Triangles

Aiming at the drawback that the shape of Bezier triangles is fixed with respect to the control points, some blending functions with parameter and with similar properties to the bivariate Bernstein polynomials are presented. Few literatures introduce how do the blending functions are derived. This paper aims at providing the general construction method of adjustable Bezier triangles in polynomial space. With the help of degree elevation technique and based on the idea that the adjustable surfaces are defined by the adjustable control points, the shape adjustable Bezier triangles are defined. The construction process of the blending functions is demonstrated in detail.
Valid Incremental Attribute Reduction Algorithm Based on Attribute Generalization for an Incomplete Information System

Attribute reduction, also known as feature selection, is a vital application of rough set theory in areas such as machine learning and data mining. With several information systems constantly and dynamically changing in reality, the method of continuing the incremental attribute reduction for these dynamic information systems is the focus of this research. In an incomplete information system, the increasing form of attribute sets is an important form of dynamic change. In this paper, the definition of conditional entropy is first introduced in the incomplete information system, and for the circumstances of the dynamic change of the attribute sets, two types of incremental mechanisms of the matrix and non-matrix forms based on conditional entropy are subsequently proposed. In addition, on the basis of the two incremental mechanisms, the incremental attribute reduction algorithm is given when the attribute set increases dynamically. Finally, the experimental results of the UCI (University of California Irvine) datasets verify that the two proposed incremental algorithms exhibit a superior performance with regard to attribute reduction when compared with the non-incremental attribute reduction algorithm, which in turn is superior to other relative incremental algorithms.
A Novel Iterative Velocity Control Algorithm and Its FPGA Implementation Based on Trigonometric Function

The servo motor's flexible acceleration/ deceleration (acc/dec) control is an emerging research topic in the automation field. A velocity control algorithm based on trigonometric function is proposed in this paper. With required parameters, it transforms trigonometric calculations into elementary mathematical operations and calculates the velocity controlling values iteratively, which could avoid trigonometric calculation and reduce the computation time. Experimental results show that the proposed algorithm is suitable for implementation on field programmable gate arrays and achieves a flexible controlling, enhancing both the equipment's stability and reliability. It is promising to significantly improve the high-speed computerized numerical control equipment's controlling accuracy, without a huge hardware resource consumption.
Deep Auto-encoded Clustering Algorithm for Community Detection in Complex Networks

The prevalence of deep learning has inspired innovations in numerous research fields including community detection, a cornerstone in the advancement of complex networks. We propose a novel community detection algorithm called the Deep auto-encoded clustering algorithm (DAC), in which unsupervised and sparse single autoencoders are trained and piled up one after another to embed key community information in a lowerdimensional representation, such that it can be handled easier by clustering strategies. Extensive comparison tests undertaken on synthetic and real world networks reveal two advantages of the proposed algorithm: on the one hand, DAC shows higher precision than the k- means community detection method benefiting from the integration of sparsity constraints. On the other hand, DAC runs much faster than the spectral community detection algorithm based on the circumvention of the time-consuming eigenvalue decomposition procedure.
非低密度脂蛋白胆固醇对ACS患者经皮冠脉介入治疗的预后

目的:探讨血清甘油三酯(triglycerides,TG)水平对急性冠脉综合征(acute coronary syndrome,ACS)患者经皮冠脉介入治疗预后的影响。方法:2011年5月-2018年7月在本科确诊并接受冠脉介入治疗的ACS患者340例,依据TG水平分为: TG正常组(TG<1.7 mmol/L,n=189),TG轻度升高组(1.7≤TG<2.3 mmol/L,n=81),TG升高组(TG≥2.3 mmol/L,n=70)。比较三组患者的手术成功率及近、远期的不良心脏事件(MACE)发生情况。结果:3组的手术成功率分别为98.3%,96.3%,和97.1%,无统计学差异(P>0.05);住院期间及出院30 d内死亡、支架内血栓、急性心力衰竭、靶血管血运重建、消化道出血及总MACE发生率,三组间比较无统计学差异。术后长期随访观察,再次心肌梗死、靶血管再次血运重建的比率TG轻度升高组和TG升高组明显高于TG正常组(3.7% vs.4.3% vs. 0.7%,P=0.039;9.9% vs. 8.6% vs. 3.2%,P=0.047);TG轻度升高组和TG升高组,总MACE也明显高于TG正常组(42.0% vs. 38.6% vs. 22.2%,P=0.001);3组间在再次心肌梗死(P=0.047)、靶血管再次血运重建(P=0.007)及总MACE(P=0.001)的Kaplan-Meier生存曲线的差异有统计学意义,但死亡在3组的Kaplan-Meier生存曲线无统计学差异(P>0.05)。结论:TG升高的患者,远期主要心血管不良事件发生风险特别是再次心肌梗死和靶血管再次血运重建的风险明显升高,预后差。
Characterization of nitrogen-containing aromatics in Baiyinhua lignite and its soluble portions from thermal dissolution

Soluble portions (SPs) 1-4 (SP_1-SP_4) were afforded from sequentially dissolution and alkanolyses of Baiyinhua lignite (BL) in cyclohexane, CH_3OH, CH_3CH_2OH, and (CH_3)_2CHOH at 300 °C. Theywere analyzedwith a gas chromatograph/ mass spectrometer and quadrupole exactive orbitrap mass spectrometer (QEOTMS) with an atmosphere pressure chemical ionization source in positive-ion mode, while BL was characterized with an X-ray photoelectron spectrometer (XRPES). The results show that the yields of SP_2 and SP_3 are much higher than those of SP_1 and SP_4, and the total SP yield is ca. 39.0%. According to the analysis with XRPES, pyrrolic nitrogen atoms are the most abundant nitrogen existing forms in BL. Thousands of nitrogen-containing aromatics (NCAs) were resolved with QEOTMS and their molecular masses are mainly in the range of 200-450 u. The main NCAs are N_1O_1 and N_1O_2 class species with double bond equivalent values of 4-18 and carbon numbers of 7-30. The nitrogen atoms appear in pyridines, quinolines, benzoquinolines or acridine, and dibenzoquinolines or naphthoquinolines, while the oxygen atoms exist in methoxy and furan rings.
Development of index system for inherently safer process design using an integrated approach

With a growing population, an increasing number of petrochemical facilities are built with larger capacity and more complexity, which pose a great risk to assets, community and environment. The value of inherently safer design is recognizedwith time by all stakeholders, and an effective tool is needed to evaluate and compare inherent safety of alternative technologies. This study developed a safety index to evaluate existing technologies for their safety levels and guide inherently safer design. The Integrated Risk-based Safety Index (IRSI)was developed based on a comprehensive review of petrochemical processes, incident cases from Sinopec and US Chemical Safety Board, and existing safety index systems. The IRSI included all major hazards, including fire, explosion, toxic release, dust explosion, physical explosion, and runaway. Also, the integrated life cycle approach considered chemical hazards, equipment failure rates and safetymeasures in this risk-based index. Advancedmodeling techniques, PHAST simulation and Neural Network, were used in the development of three novel sub-indices in the projects, fire, explosion and toxic release. The index system could be easily incorporated into a user friendly tool for the ease of application. A case study of hydrogen dioxide was conducted using the IRSI, which showed its capability for evaluating the safety level of process facilities.
Effect of imidazole based polymer blend electrolytes for dye-sensitized solar cells in energy harvesting window glass applications

The exploration of polymer electrolyte in the field of dye sensitized solar cell (DSSC) can contribute to increase the invention of renewable energy applications. In the present work, the influence of imidazole on the poly (vinylidene fluoride) (PVDF)-poly (methyl methacrylate) (PMMA)-Ethylene carbonate (EC)-KI-I_2 polymer blend electrolytes has been evaluated. The different weight percentages of imidazole added into polymer blend electrolytes have been prepared by solution casting. The prepared films were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), UV-visible spectra, photoluminescence spectra and impedance spectroscopy. The surface roughness texture of the film was analyzed by atomic force microscopy (AFM). The ionic conductivity of the optimized polymer blend electrolyte was determined by impedance measurement, which is 1.95 × 10~(-3) S·cm~(-1) at roomtemperature. The polymer electrolyte containing 40wt% of imidazole content exhibits the highest photo-conversion efficiency of 3.04% under the illumination of 100mW·cm~(-2).Moreover, a considerable enhancement in the stability of the DSSC device was demonstrated.
Biochemical sensing in graphene-enhanced microfiber resonators with individual molecule sensitivity and selectivity

Photonic sensors that are able to detect and track biochemical molecules offer powerful tools for information acquisition in applications ranging from environmental analysis to medical diagnosis.The ultimate aim of biochemical sensing is to achieve both quantitative sensitivity and selectivity.As atomically thick films with remarkable optoelectronic tunability,graphene and its derived materials have shown unique potential as a chemically tunable platform for sensing,thus enabling significant performance enhancement,versatile functionalization and flexible device integration.Here,we demonstrate a partially reduced graphene oxide (prGO) inner-coated and fiber-calibrated Fabry-Perot dye resonator for biochemical detection.Versatile functionalization in the prGO film enables the intracavity fluorescent resonance energy transfer (FRET) to be chemically selective in the visible band.Moreover,by measuring the intermode interference via noise canceled beat notes and locked-in heterodyne detection with Hz-level precision,we achieved individual molecule sensitivity for dopamine,nicotine and single-strand DNA detection.This work combines atomic-layer nanoscience and high-resolution optoelectronics,providing a way toward high-performance biochemical sensors and systems.
NB — IOT物联网技术在中药溯源系统中的应用研究

通过对中药溯源系统的现状研究及技术应用分析,结合NB -IOT物联网技术在食品、农业溯源等方面的应用,以其广覆盖、低功耗、低成本、大连接等突出特点为依据,对NB-IOT物联网技术应用于中药溯源系统的实施方案及可行性进行探讨,并对该技术与区块链技术及溯源结合进行展望。认为NB - IOT物联网技术与溯源系统结合是可行的,且有效解决追溯系统中范围小、成本高、信息链长、信息安全性差等问题。指出现有的中药溯源系统成本高、网络覆盖面小、难以在偏远山区达到药材溯源的“精准扶贫”,不适合偏远山区、广范围使用,应根据相应物联网技术标准进行改进,以降低投入成本、提高应用范围,使中药材真正实现来源可查、去向可追、责任可究、风险可控及强化中药全过程质量管理与风险控制。
基于PBL教学法和中医药思维的《中药药剂学》教学研究与实践

采用PBL教学法和中医药思维进行中药药剂学中部分章节的教学,从而提高学生的自主发现学习能力,提高其学习的积极性,培养学生获取知识的能力和批判性思维能力。以前中药药剂学的教学主要是以教师讲授,学生被动接受为主,现通过尝试采用PBL教学法进行教学,以问题为导向的中药药剂学教学中培养学生中医药思维,取得了较为理想的结果,并对其过程和体会进行了讨论总结。
Effect of vacuum gas oil hydrotreating reactor on multiple reactors and hydrogen network

The inlet temperature of the VacuumGas Oil (VGO)hydrotreating reactor of a refinery is analyzed with the integration of multiple series reactors and hydrogen network considered. The effect of the inlet temperature (T1)on hydrogen sinks/sources and the product output is analyzed systematically based on the simulation of the series reactors, including VGO hydrotreating reactor, hydrocracking reactor, fluid catalytic cracking reactor and visbreaking reactor. The general relation between the Hydrogen Utility Adjustment (HUA)and multiple pairs of varying sinks and sources is deduced, and correlations between varying streams and T_1 are linearly fitted. Based on this, the quantitative equation between HUA and T_1 is derived, and corresponding diagram is constructed. The T_1 corresponding the minimum hydrogen consumption is identified to be 345 °C.
Deep oxidative desulfurization of gas oil based on sandwich-type polysilicotungstate supported β-cyclodextrin composite as an efficient heterogeneous catalyst

In this work, in order to obtain deep clean gas oil, a novel organic-inorganic hybrid (n-C_4H_9)_4N)_7H_5Si_2W_(18)Cd_4O_(68)@β-cyclodextrin (abbreviated as TBA-SiWCd@β-CD)composite was synthesized by supporting quaternary ammonium salt of sandwich-type polysilicotungstate on β-cyclodextrin (TBA-SiWCd@β-CD)as an efficient catalyst for oxidative desulfurization (ODS)of gas oil.The successful composition of the materials explained by the formation of host-guest inclusion complex,which confirmed through FTIR, UV-vis, XRD, SEM, and EDX characterization analyses.Experimental results revealed that the levels of sulfur content and mercaptan compounds of gas oil lowered with 97% removal efficiency.Compared with the ODS treatment of gas oil, the TBA-SiWCd@β-CD composite showed an outstanding catalytic performance for the oxidation of dibenzothiophene (DBT)in the prepared model fuel.The main factors that influence the desulfurization efficiency and the kinetic study of the ODS process were investigated.The prepared heterogeneous catalyst was found to give remarkable reusability for five runs without a discernible decrease in its activity.This study suggested the potential application of the TBA-SiWCd@β-CD catalyst for removal of hazardous sulfur compounds from gas oil fuel.
Hydrophobic modification of SAPO-34 membranes for improvement of stability under wet condition

SAPO-34 zeolitemembranes show high efficiency for CO_2/CH_4 separation but suffer fromthe reduction of separation performance when exposed to humid atmosphere. In this work, n-dodecyltrimethoxysilane (DTMS)was used to modify the hollow fibers supported SAPO-34 membranes to increase the external surface hydrophobicity and thus sustain their performance under moisture environment. The modified membranes were fully characterized. Their separation performance was extensively investigated in both dry and wet gaseous systems and compared with the un-modified ones. The un-modified SAPO-34 membrane exhibited a high separation selectivity of 160 and CO_2 permeance of 1.18 × 10~(-6)mol·m~(-2)·s~(-1)·Pa~(-1)for separation of dry CO_2/CH_4 at 298 K. However, its separation selectivity declined to 0.9 and the CO_2 permeancewas only about 1.7×10~(-8)mol·m~(-2)·s~(-1)·Pa~(-1)forwet CO_2/ CH_4 at same temperature. High temperature (e.g. 353 K)could reduce the effect of moisture to improve SAPO-34 separation selectivity, but further increasing temperature (e.g. 373 K)led to decrease in CO_2/CH_4 separation selectivity. A significant decrease of selectivity was observed at higher pressure drop. The modified SAPO-34 membrane showed decreased CO_2 permeance but increased separation selectivity for dry CO_2/CH_4 gasmixture, and super performance for wet CO_2/CH_4 gasmixture due to the improved hydrophobicity of membrane surface. A separation selectivity of 65 and CO_2 permeance of 4.73 × 10~(-8)mol·m~(-2)·s~(-1)·Pa~(-1)for wet CO_2/CH_4 mixture can be observed at 353 K with a pressure drop of 0.4 MPa. Furthermore, the modified membrane exhibited stable separation performance during the 120-hour test for wet CO_2/CH_4 mixture at 353 K. The hydrophobic modification paves a way for SAPO-34 membranes in real applications.
2D Bi_2WO_6/MoS_2 as a new photo-activated carrier for boosting electrocatalytic methanol oxidation with visible light illumination

In this paper, a new two-dimensional (2D)/2D composite of Bi_2WO_6/MoS_2 was facile synthesized,and then was used as supporting material for depositing Pt nanoparticles. The as-synthesized Pt-Bi_2WO_6/MoS_2 was extended into photo-assisted electrocatalytic oxidation of methanol, which is a model anode reaction for direct methanol fuel cell. Compare with traditional electrocatalytic process, Pt- Bi_2WO_6/MoS_2 displays 1.5 times enhanced electrocatalytic performance on methanol oxidation with assistance of visible light irradiation and 2.2 times for commercial Pt/C. Besides, from the results of chronoamperometric and chronopotentiometry experiments, the stability of Pt-Bi_2WO_6/MoS_2 electrode is clearly improved under visible light irradiation. The synergistic effects of photo- and electro-catalytic in the heterojunction of Pt-Bi_2WO_6/MoS_2 in favor of the above enhancement. This research gives more insights in the fields of photo-assisted traditional electrocatalytic application by constructing of semiconductor heterojunction carrier.
Effective design of A-D-A small molecules for high performance organic solar cells via F atom substitution and thiophene bridge

Three novel small molecules with acceptor-donor-acceptor (A-D-A) configuration, SBDT1, SBDT2 and SBDT3, where 4,8-bis(octyloxy)benzo[1,2-b:4,5-b']dithiophene (BDT) as the electron-donating core connecting to thiophene-substituted benzothiadiazole (BT) as electron-withdrawing are reported. The effects of fluorine atoms on the photophysical properties by introducing different fluorine atoms into the benzothiadiazole unit were investigated. These SBDTs exhibit good thermal stability, excellent panchromatic absorption in solution and film. SBDT2 and SBDT3 with fluorine-substituted BT possess a relatively deeper the highest occupied molecular orbital (HOMO). These A-D-A type molecules were treated as donor and PC_(71)BM as acceptor in bulk heterojunction (BHJ) small-molecule organic solar cells (SMOSCs). Among them, device based on SBDT2 gave the best device performance with a PCE of 5.06% with J_(sc) of 10.56mA/cm~2, V_(oc) of 0.85 V, fill factor (FF) of 56.4%. These studies indicate that proper incorporation of fluorine atoms is an effective way to increase the efficiency of organic solar cells.
A roadway of exploring polymer science, a lifetime of nurturing polymer scientists

This special column is dedicated to Professor Shou-Kuan Fu on the occasion of his 80~(th) birthday. Prof. Shou-Kuan Fu, born in July, 1940 in Jiangsu Province. He obtained his B.S. in Chemistry from Department of Chemistry,Fudan University in 1962, then, he graduated from graduate school of Fudan University in 1966, under the supervision of Prof. Tong- Yin Yu, a distinguished pioneer of polymer science in China and the founder of Department of Macromolecular Science at Fudan University.
2020 roadmap on two-dimensional materials for energy storage and conversion

Energy storage and conversion have attained significant interest owing to its important applications that reduce CO_2 emission through employing green energy. Some promising technologies are included metalair batteries, metal-sulfur batteries, metal-ion batteries, electrochemical capacitors, etc. Here, metal elements are involved with lithium, sodium, and magnesium. For these devices, electrode materials are of importance to obtain high performance. Two-dimensional (2D)materials are a large kind of layered structured materials with promising future as energy storage materials, which include graphene, black phosporus, MXenes, covalent organic frameworks (COFs), 2D oxides, 2D chalcogenides, and others. Great progress has been achieved to go ahead for 2D materials in energy storage and conversion. More researchers will join in this research field. Under the background, it has motivated us to contribute with a roadmap on ‘two-dimensional materials for energy storage and conversion.
Recent application of biochar on the catalytic biorefinery and environmental processes

Lignocellulosic biomass is an abundant and environment-friendly source for renewable energy production. The value and application of biochar, which is obtained from the thermochemical conversion of biomass, is increasing rapidly because of its high carbon content and porosity. The property of biochar,such as surface area, porosity, and number of functional groups, can be improved by controlling the conditions of biomass conversion, biochar activation, and functionalization methods. The production and activation of biochar aswell as its potential use for soil remediation, pollutant adsorption, and biorefinery have been reviewed extensively over recent decades. This paper provides a conceptual approach for biochar production and activation together with its application as a catalyst for biorefineries and the removal of environmental contaminants.
2020 roadmap on pore materials for energy and environmental applications

Porous materials have attracted great attention in energy and environment applications, such as metal organic frameworks (MOFs), metal aerogels, carbon aerogels, porous metal oxides. These materials could be also hybridized with other materials into functional composites with superior properties. The high specific area of porous materials offer them the advantage as hosts to conduct catalytic and electrochemical reactions. On one hand, catalytic reactions include photocatalytic, photoelectrocatalytic and electrocatalytic reactions over some gases. On the other hand, they can be used as electrodes in various batteries, such as alkaline metal ion batteries and electrochemical capacitors. So far, both catalysis and batteries are extremely attractive topics. There are also many obstacles to overcome in the exploration of these porous materials. The research related to porous materials for energy and environment applications is at extremely active stage, and this has motivated us to contribute with a roadmap on ‘porous materials for energy and environment applications'.
舒敏保湿类护肤品在敏感性皮肤中的应用指南

敏感性皮肤(sensitive skin,SS)特指皮肤在生理或病理条件下出现的一种高反应状态,可表现有灼热、刺痛、瘙痒及紧绷感等主观症状,伴或不伴红斑、毛细血管扩张及脱屑等客观体征。近年来,由于人们护肤方式的变化,滥用化妆品或过度清洁,环境污染和精神压力增大等导致敏感性皮肤不断增加,发生率达32.4% ~ 56%。某些皮肤病,如痤疮、玫瑰痤疮、特应性皮炎等也可伴有敏感性皮肤的发生,严重影响人们的容貌及身心健康。国内外研究表明,单一使用舒敏保湿类护肤品或与药物、医美等联合治疗能有效缓解敏感性皮肤的症状。为了指导我国皮肤科医师科学、规范的选择舒敏保湿类护肤品用于敏感性皮肤的防治,特组织国内该领域专家制定本指南。
Kaposi水痘样疹误诊1例及文献复习

本病在临床表现不典型的患者中,极易漏诊、误诊。对于疑似本病的幼儿或成人患者,都应尽早行病毒血清学及疱液病毒DNA检查。若已经明确诊断,应及时给予伐昔洛韦等抗病毒治疗,同时可给予复方甘草酸苷口服,其不仅可以减轻炎症反应,还具有加强抗病毒治疗的作用。对于全身症状较重的患者应尽早使用抗病毒药物联合人免疫球蛋白治疗,减轻病毒对机体的损伤,缩短病程,减少并发症的发生。
肝细粒棘球蚴、多房棘球蚴混合感染1例

棘球蚴病是一种由棘球蚴绦虫的幼虫引起的人兽共患寄生虫病[1-4]。不同组织器官单纯感染细粒棘球蚴或多房棘球蚴的报道较多[5],而同一器官同时感染这两种棘球蚴的病例十分罕见。根据本例患者腹部CT表现、肝棘球蚴血清抗体ELISA检测结果及回顾性流行病学史询查,明确诊断为肝细粒棘球蚴、多房棘球蚴混合感染。到目前为止,青海省人民医院共收治4例肝细粒棘球蚴、多房棘球蚴混合感染病例。对这4例病例的回顾与总结发现,肝细粒棘球蚴、多房棘球蚴混合感染病例的病灶极易侵犯肝门(第一、第二),尤其是第二肝门部,部分患者还存在肝脏流出道受阻或肝淤血情况。有研究者指出,即使棘球蚴病灶侵犯血管、胆管的终末期患者,若无心、肺功能障碍及其他禁忌症,均应该选择彻底切除病灶、重建管道[6]。然而对于此类患者,笔者的经验是:如果无法做到病灶根治性切除和流出道重建,则不应离断侧支丰富的肝周韧带。肝脏淤血较重或残肝体积不大的患者,常规肝切除术或离体肝切除联合自体肝移植术已经无法到达预期效果,此类患者治疗方案的选择仍是难点。