mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Linking key intervention timings to rapid declining effective reproduction number to quantify lessons against COVID-19

Coronavirus disease 2019(COVID-19)is currently under a global pandemic trend.The efficiency of containment measures and epidemic tendency of typical countries should be assessed.In this study,the efficiency of prevention and control measures in China,Italy,Iran,South Korea,and Japan was assessed,and the COVID-19 epidemic tendency among these countries was compared.Results showed that the effective reproduction number(Re)in Wuhan,China increased almost exponentially,reaching a maximum of 3.98 before a lockdown and rapidly decreased to below 1 due to containment and mitigation strategies of the Chinese government.The Re in Italy declined at a slower pace than that in China after the implementation of prevention and control measures.The Re in Iran showed a certain decline after the establishment of a national epidemic control command,and an evident stationary phase occurred because the best window period for the prevention and control of the epidemic was missed.The epidemic in Japan and South Korea reoccurred several times with the Re fluctuating greatly.The epidemic has hardly rebounded in China due to the implementation of prevention and control strategies and the effective enforcement of policies.Other countries suffering from the epidemic could learn from the Chinese experience in containing COVID-19.
Current applications of artificial intelligence for intraoperative decision support in surgery

Research into medical artificial intelligence(AI)has made significant advances in recent years, including surgical applications.This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical specialties.Within the twenty-one(n = 21)included papers, three main categories of motivations were identified for developing such technologies:(1)augmenting the information available to surgeons,(2)accelerating intraoperative pathology, and(3)recommending surgical steps.While many of the proposals hold promise for improving patient outcomes, important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance statistics.Despite limitations, the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.
Measurement of away-side broadening with self-subtraction of flow in Au+Au collisions at √SNN=200 GeV

High transverse momentum (pT) particle production is suppressed owing to the parton (jet) energy loss in the hot dense medium created in relativistic heavy-ion collisions. Redistribution of energy at low-to-modest pT has been difficult to measure, owing to large anisotropic backgrounds. We report a data-driven method for background evaluation and subtraction, exploiting the away-side pseudorapidity gaps, to measure the jetlike correlation shape in Au+Au collisions at √SNN=200 GeV in the STAR experiment. The correlation shapes, for trigger particles pT>3 GeV/c and various associated particle pT ranges within 0.5
The drying of liquid droplets

The drying of liquid droplets is a common phenomenon in daily life, and has long attracted special interest in scientific research. We propose a simple model to quantify the shape evolution of drying droplets. The model takes into account the friction constant between the contact line (CL) and the substrate, the capillary forces, and the evaporation rate. Two typical evaporation processes observed in experiments, i.e., the constant contact radius (CCR) and the constant contact angle (CCA), are demonstrated by the model. Moreover, the simple model shows complicated evaporation dynamics, for example, the CL first spreads and then recedes during evaporation. Analytical models of no evaporation, CCR, and CCA cases are given, respectively. The scaling law of the CL or the contact angle as a function of time obtained by analytical model is consistent with the full numerical model, and they are all subjected to experimental tests. The general model facilitates a quantitative understanding of the physical mechanism underlying the drying of liquid droplets.
Dynamical analysis for hybrid virus infection system in switching environment

We investigate the dynamical behavior of hybrid virus infection systems with nonlytic immune response in switching environment, which is modeled as a stochastic process of telegraph noise and represented as a multi-state Markov chains. Firstly, The existence of unique positive solution and boundedness of the new hybrid system is proved. Furthermore, the sufficient conditions for extinction and persistence of virus are established. Finally, stochastic simulations are performed to test and demonstrate the conclusions. As a consequence, our work suggests that stochastic switching environment plays a crucial role in the process of virus prevention and treatment.
Critical role of estrogen in the progression of chronic liver diseases

Background:Estrogens regulate sexual function and also have a significant role in various pathophysiological processes.Estrogens have a non-reproductive role as the modulators of the immune system, growth, neuronal function, and metabolism.Estrogen receptors are expressed in the liver and their impaired expression and function are implicated with obesity and liver associated metabolic dysfunctions.The purpose of the current review is to discuss the disparity role of estrogens on several forms of liver diseases.Data sources:A comprehensive search in PubMed and EMBASE was conducted using the keywords“estrogens and liver diseases”,“estradiol and liver diseases”,“hormones and liver diseases”,“endocrine function in liver diseases”, and“female hormones in liver diseases”.Relevant papers published before September 30, 2019 were included.Results:The present review confirms the imperative role of estrogen in various forms of chronic liver diseases.Estrogens play a key role in maintaining homeostasis and make the liver less susceptible to several forms of chronic liver diseases in healthy premenopausal individuals.In contrast, clinical studies also showed increased estrogen levels with chronic liver diseases.Conclusions:Several studies reported the protective role of estrogens in chronic liver diseases and this has been widely accepted and confirmed in experimental studies using ovariectomized rat models.However, in a few clinical studies, increased estrogen levels are also implicated in chronic liver diseases.Therefore, further studies are warranted at molecular level to explore the role of estrogen in various forms of chronic liver diseases.
Numerical study on the modulation of THz wave propagation by collisional microplasma photonic crystal

In order to demonstrate the modulation of terahertz wave propagation in atmospheric pressure microplasmas, in this work, the band structure and the transmission characteristics of a one- dimensional collisional microplasma photonic crystal are investigated, using the transfer matrix method.For a lattice constant of 150 μm and a plasma width of 100 μm, three stopbands of microplasma photonic crystal are observed, in a frequency range of 0.1-5THz.Firstly, an increase in gas pressure leads to a decrease in the central frequency of the stopband.When the gas pressure increases from 50.5 kPa to 202 kPa, the transmission coefficient of the THz wave first increases and then decreases at high frequency, where the wave frequency is much greater than both the plasma frequency and the collision frequency.Secondly, it is interesting to find that the central frequency and the bandwidth of the first THz stopband remain almost unchanged for electron densities of less than 10~(15) cm~(-3), increasing significantly when the electron density increases up to 10~(16) cm~(-3).A central frequency shift of 110 GHz, and a bandgap broadening of 200 GHz in the first stopband are observed.In addition, an atmospheric pressure microplasma with the electron density of 1×10~(15)- 6×10~(15) cm~(-3) is recommended for the modulation of THz wave propagation by plasma photonic crystals.
成人支气管扩张症的研究进展

支气管扩张症是一种以支气管永久性扩张为特征的慢性呼吸系统疾病。在国外,因发病率低,成人支气管扩张症曾被认为是“罕见病”,但近年来由于其发病率、相关死亡风险及致残风险的增加,以及对医疗系统负担的加重,引发了国内外学者对这一“罕见病”的广泛关注。在过去20年间,成人支气管扩张症领域涌现了大量新的治疗观念和治疗方法,但部分临床问题仍有待解决。本文对目前该领域的热点和争议问题进行总结和讨论。
Minimum Time Extrema Estimation for Large-Scale Radio-Frequency Identification Systems

We consider the extrema estimation problem in large-scale radio-frequency identification(RFID) systems, where there are thousands of tags and each tag contains a finite value. The objective is to design an extrema estimation protocol with the minimum execution time. Because the standard binary search protocol wastes much time due to interframe overhead, we propose a parameterized protocol and treat the number of slots in a frame as an unknown parameter. We formulate the problem and show how to find the best parameter to minimize the worst-case execution time. Finally, we propose two rules to further reduce the execution time. The first is to find and remove redundant frames. The second is to concatenate a frame from minimum value estimation with a frame from maximum value estimation to reduce the total number of frames. Simulations show that, in a typical scenario, the proposed protocol reduces execution time by 79% compared with the standard binary search protocol.
健康中国,儿童安全用药是重要内容—访首都医科大学附属北京儿童医院呼吸科临床药师刘小会

1989年11月20日联合国大会通过的《儿童权利公约》指出,儿童系指18岁以下的任何人。据国家统计局数据显示,2017年中国儿童人口数为2.33亿人,占总人口的16.8%。儿童的健康成长关乎数亿个家庭的幸福。一直以来,中国儿童用药呈现出专用药品少、适用剂量和规格少、生产厂家少、用药风险和不良反应高等特点。为保障儿童安全用药,守护儿童健康,中国儿童临床药师领域的专业人员在这一“冷门”领域深耕多年。为此,《科技导报》采访了北京儿童医院呼吸科临床药师刘小会,请她介绍了多年来中国儿童安全用药的发展以及公众对于安全用药观念的转变。
Current biomarkers for the detection of endometriosis

A clinically reliable non-invasive test for endometriosis is expected to reduce the diagnostic delay. Although varieties of biomarkers have been investigated for decades, and cancer antigen-125, cancer antigen-199, interleukin-6, and urocortin were the most studied ones among hundreds of biomarkers, no clinically reliable biomarkers have been confirmed so far. Some emerging technologies including “omics" technologies, molecular imaging techniques, and microRNAs are promising in solving these challenges, but their utility to detect endometriosis has yet to be verified. New combinations of researched indicators or other non-invasive methods and further exploration of the emerging technologies may be new targets and future research hotspots for non-invasive diagnosis of endometriosis. In conclusion, researches of biomarkers for the detection of endometriosis are still ongoing and may benefit from novel molecular biology, bioinformatics methods and a combination of more diverse monitoring methods. Though it will be a daunting task, the identification of a specific set of diagnostic biomarkers will undoubtedly improve the status of endometriosis.
Potential impact of epidural labor analgesia on the outcomes of neonates and children

This review summarizes recent evidences regarding the potential influences of epidural labor analgesia (ELA) on the outcomes of neonates and children. Terms and relevant words including "ELA," "ELA and neonatal outcomes," “ELA and children's development," and "ELA and children's neurocognitive development" were used to search articles published in PubMed database up to October 2019. Original articles and reviews regarding potential influences of ELA on neonates and children were identified. Relevant references of the selected articles were also screened. The anesthetics used during ELA can be absorbed, enter the fetus, and produce neonatal depression; however, these effects are less severe than those during systematic opioid analgesia. The impact of anesthetic exposure during ELA on children's neurodevelopment has not been fully studied, but would be mild if any. ELA increases the risk of intrapartum maternal fever; the latter may be harmful to neonatal outcomes. The use of ELA may increase birth injury by increasing instrumental delivery, although long-term adverse events are rare. On the other hand, ELA may reduce maternal depression and, thus, produce favorable effects on neurocognitive development in childhood; but evidences are still lacking in this aspect. ELA may produce both favorable and unfavorable effects on neonates and children. These effects should be discussed with parturient women before making decisions. The potential harmful effects should be carefully managed. The overall impacts of ELA on neonatal and children's outcomes need to be studied further.
Space Life Science of China

In the past two years,China's space life science has made great progress.Space biomedical and life science programs have carried out ground-based research for the first batch of projects,and are preparing to carry out space-based experiments along with the construction of China's space station.And space life science payload of the space station completed the development of positive samples.Thus,with the development of lunar exploration and Mars exploration projects,astrobiology research has also made a lot of basic achievements.On the basis of summarizing the development of space life science in China,this paper mainly introduces the important progress of payload technology and life science research.
Update on Fengyun Meteorological Satellite Program and Development

China began to develop its meteorological satellite program since 1969.With 50-years' growing,there are 17 Fengyun(FY)meteorological satellites launched successfully.At present,seven of them are in orbit to provide the operational service,including three polar orbiting meteorological satellites and four geostationary meteorological satellites.Since last COSPAR report,no new Fengyun satellite has been launched.The information of the on-orbit
Two Cu(II) and Co(II)-based Coordination Polymers Based on the N,S-donor Ligand: Crystal Structures and Anticancer Activity Evaluation

Two new Cu(II) and Co(II)-based coordination polymers with the chemical formulae of {Cu(L)_2]·DMF}_n (1) and {[Co(L)_2]·2DMF}_n (2) have been successfully constructed from a pyridine-substituted N-heterocyclic thioamide ligand, namely [3,4'-bipyridine]-2'-thiol (HL). Complex 1 is composed of two identical coordination networks with dia topology interpenetrating into each other, and shows 1-D microporous channels along the a axis. Complex 2 is assembled by 2-D square-grid layers stacked in an eclipsed fashion to give 1-D large square channels along the b axis. CCK-8 was used for the detection of cancer cells. Results indicated that compound 1 exhibited stronger anti-cancer activity than compound 2 on the H1650 cancer cells. The Annexin V-FITC/PI was recommended for cancer cell apoptosis, and the western blot was applied for the detection of PI3K/AKT pathway activation.
ALKBH1 deficiency leads to loss of homeostasis in human diploid somatic cells

As the most prevalent DNA methylation modification in prokaryotes, DNA N6-methyladenosine (6mA) in eukaryotic genomes has recently been observed in diverse species including Caenorhabditis elegans (Greer et al., 2015), Drosophila melanogaster (Zhang et al., 2015), mouse (Wu et al., 2016) and human (Xiao et al., 2018). 6mA has been reported to associate with multiple physiological processes including embryonic development and tumorigenesis (Greer et al., 2015; Zhang et al., 2015; Xie et al., 2018), yet some controversies exist. In contrast to the findings showing that ALKBH1 (alkB homolog 1) is a primary 6mA demethylase in mouse and human cells (Wu et al., 2016; Xiao et al., 2018; Xie et al., 2018), other studies indicate that ALKBH1 is prone to demethylate 6mA on bubbled or bulged DNAs that are often featured by a locally unpairing region with flanking duplex, such as D-loop, R-loop as well as DNA or RNA stemloop, and single-stranded DNAs at a lower efficiency, but not double-stranded DNAs (Tian et al., 2020; Zhang et al., 2020a). Stem cell exhaustion is a major causal and risk factor underlying the progressive disruption of physiological integrity during the development of aging-associated disorders, in which epigenetic alterations are closely implicated (Zhang et al., 2020b). Yet, the roles of 6mA and its putative regulators such as ALKBH1 in the homeostatic maintenance of human stem cells and their differentiated derivatives remain elusive.
A Technology for Online Parameter Identification of Permanent Magnet Synchronous Motor

Accuracy of the motor parameters is important in realizing high performance control of permanent magnet synchronous motor(PMSM). However, the inductance and resistance of motor winding vary with the change of temperature, rotor position and current frequency. In this paper, a technology based on circuit model is introduced for realizing online identification of the parameter of PMSM. In the proposed method, a set of nonlinear equations containing the parameters to be identified is established. Considering that it is very difficult to obtain the analytical solution of a nonlinear system of equations, Newton iterative method is used for solving the equations. Both the simulation and testing results confirm the effectiveness of the method presented.
Recent Developments of Modulation and Control for High-Power Current-Source-Converters Fed Electric Machine Systems

The pulse-width-modulated(PWM) current-source converters(CSCs) fed electric machine systems can be considered as a type of high reliability energy conversion systems, since they work with the long-life DC-link inductor and offer high fault-tolerant capability for short-circuit faults. Besides, they provide motor friendly waveforms and four-quadrant operation ability. Therefore, they are suitable for high-power applications of fans, pumps, compressors and wind power generation. The purpose of this paper is to comprehensively review recent developments of key technologies on modulation and control of high-power(HP) PWM-CSC fed electric machines systems, including reduction of low-order current harmonics, suppression of inductor-capacitor(LC) resonance, mitigation of common-mode voltage(CMV) and control of modular PWM-CSC fed systems. In particular, recent work on the overlapping effects during commutation, LC resonance suppression under fault-tolerant operation and collaboration of modular PMW-CSCs are described. Both theoretical analysis and some results in simulations and experiments are presented. Finally, a brief discussion regarding the future trend of the HP CSC fed electric machines systems is presented.
A Stator Current Vector Orientation Based Multi-objective Integrative Suppressions of Flexible Load Vibration and Torque Ripple for PMSM Considering Electrical Loss

To store energy from the grid into spiral torsion spring(STS) smoothly and efficiently via PMSM, a multi-objective control problem of flexible load's vibration,PMSM's torque ripple, and electrical loss is raised, where the current studies on vibration and torque ripple are mostly addressed separately, not to mention electrical loss. This research attempts to propose a multi-objective integrative control scenario that can simultaneously solve these problems satisfactorily in a unitary nonlinear control framework. Firstly, a dynamic mathematical model of PMSM is built under stator current vector orientation, and then the model of PMSM is combined with the vibration model of STS to establish the overall system model of STS driven by PMSM with considering motor's electrical loss. Then, a backstepping control principle-based multi-objective integrative control approach is proposed to realize the suppression of flexible load's vibration and the reduction of PMSM's torque ripple and electrical loss concurrently. Meanwhile, this research also designs a wide range speed identification method based on the least square algorithm with a forgetting factor. Simulation and experimental results have verified that the proposed integrative control method enables the state variables to track their respective references quickly and accurately, both torque ripple and load vibration are effectively suppressed, and the operating efficiency of the whole system is improved.
Corrosion inhibiting performance and mechanism of protic ionic liquids as green brass inhibitors in nitric acid

Four protic ionic liquids (ILs) were synthesized via a one-step method by using benzotriazole (BTA) and benzimidazole as cations, and benzenesulfonic acid and 2-naphthalenesulfonic acid (NSA) as anions. These ILs were used as green corrosion inhibitors for brass specimens in a nitric acid solution. The structure of the protic ILs was characterized by ~1H-NMR, ~(13)C-NMR, and FT-IR spectroscopy. The effects of the IL structure, IL concentration, acid concentration, and corrosion time on the surface morphology of brass specimens and the inhibition efficiency (h %) of ILs were investigated by the weight loss method combined with SEM and EDS spectroscopy. Polarization curves and impedance spectroscopy were used to analyze the electrochemical corrosion inhibition mechanism of ILs. Results showed that IL synthesis was a proton transfer process, and the proton of the –SO3H group on NSA was deprived by BTA. IL [BTA][NSA], which had a high charge density and large conjugate p band, was the most effective inhibitor for brass corrosion. The h% of [BTA][NSA] decreased with the increase in acid concentration and corrosion time, which showed an increment with the increase in [BTA][NSA] concentration. The higher the h% of [BTA][NSA] is, the smoother the surface of the brass specimens is, and the smaller the undistributed area of Cu element will be. Corrosion inhibiting mechanism from electrochemical analysis indicated that the addition of [BTA][NSA] increased the polarization resistance of the brass electrode significantly and suppressed both anodic and cathodic reactions.
Nitrogen and sulfur co-doped graphene aerogel with hierarchically porous structure for high-performance supercapacitors

Supercapacitors with unique performance have been widely utilized in many fields. Herein, we report a nitrogen and sulfur co-doped graphene aerogel (N/S-GA-2) prepared using a low toxic precursor for high-performance supercapacitors. The as-obtained material possesses a hierarchically porous structure and a large number of electrochemical active sites. At a current density of 1 A g~(-1), the specific capacitance of the N/S-GA-2 for supercapacitors with the ionic liquid as the electrolyte is 169.4 F g~(-1), and the corresponding energy density is 84.5 Wh kg~(-1). At a power density of 8.9 kW kg~(-1), the energy density can reach up to 75.7 Wh kg~(-1), showing that the N/S-GA-2 has an excellent electrochemical performance. Consequently, the N/S-GA-2 can be used as a promising candidate of electrode materials for supercapacitors with high power density and high energy density.