mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Microfluidic separation of particles by synergistic effect of geometry-induced hydrodynamics and magnetic field

Microfluidic combined with magnetic field have been demonstrated to be the promising solutions for fast and low-damage particles separation.However,the difficulties in the precise layout of magnets and accurate prediction of particle trajectories lead to under and over separation of target particles.A novel particle separation lab-on-chip (LOC) prototype integrated with microstructures and micropolar arrays is designed and characterized.Meanwhile,a numerical model for the separation of magnetic particles by the synergistic effect of geometry-induced hydrodynamics and magnetic field is constructed.The effect of geometry and magnetic field layout on particle deflection is systematically analyzed to implement accurate prediction of particle trajectories.It is found that the separation efficiency of magnetic particles increased from 50.2% to 91.7% and decreased from 88.6% to 85.7% in the range of depth factors from 15μm to 27μm and width factors from 30 μm to 60 μm,respectively.In particular,the combined effect of the offset distance of permanent magnets and the distance from the main flow channel exhibits a significant difference from the conventional perception.Finally,the developed LOC prototype was generalized for extension to arbitrary systems.This work provides a new insight and robust method for the microfluidic separation of magnetic particles.
Intelligent design and construction of novel APN-based theranostic probe driven by advanced computational methods

Multifunctional molecules with both optical signal and pharmacological activity play an important role in drug development,disease diagnosis,and basic theoretical research.Aminopeptidase N (APN),as a representative tumor biomarker with anti-tumor potential,still lacks a high-precision theranostic probe specifically targeting it.In this study,a novel quaternity design strategy for APN theranostic probe was developed.This proposed strategy utilizes advanced machine learning and molecular dynamics simulations,and cleverly employs the strategy of conformation-induced fluorescence recovery to achieve multiobjective optimization and integration of functional fragments.Through this strategy,a unique "Off-On" theranostic probe,ABTP-DPTB,was ingeniously constructed to light up APN through fluorescence restoration,relying on conformation-induced effects and solvent restriction.Differ from the common diagnostic probes,the intelligent design with non-substrated linkage makes ABTP-DPTB for long-term in-situ imaging.The fabricated probe was used for detecting and inhibiting APN in various environments,with a better in vitro inhibitory than golden-standard drug bestatin.
Artificial synapses based on organic electrochemical transistors with self-healing dielectric layers

Organic electrochemical transistors (OECTs)have emerged as one type of promising building block for neuromorphic systems owing to their capability of mimicking the morphology and functions of biological neurons and synapses. Currently, numerous kinds of OECTs have been developed, while self-healing performance has been neglected in most reported OECTs. In this work, the OECTs using self-healing polymer electrolytes as dielectric layers are proposed. Several important synaptic behaviors are simulated in the OECTs by doping the channel layers with ions from the electrolytes. Benefitting from the dynamic hydrogen bonds in the self-healing polymer electrolytes, the OECTs can successfully maintain their electrical performance and the ability of emulating synaptic behaviors after self-healing compared with the initial state. More significantly, the sublinear spatial summation function is demonstrated in the OECTs and their potential in flexible electronics is also validated. These results suggest that our devices are expected to be a vital component in the development of future wearable and bioimplantable neuromorphic systems.
SNR-adaptive deep joint source-channel coding scheme for image semantic transmission with convolutional block attention module

With the development of deep learning (DL),joint source-channel coding (JSCC) solutions for end-to-end transmission have gained a lot of attention.Adaptive deep JSCC schemes support dynamically adjusting the rate according to different channel conditions during transmission,enhancing robustness in dynamic wireless environment.However,most of the existing adaptive JSCC schemes only consider different channel conditions,ignoring the different feature importance in the image processing and transmission.The uniform compression of different features in the image may result in the compromise of critical image details,particularly in low signal-tonoise ratio (SNR) scenarios.To address the above issues,in this paper,a dual attention mechanism is introduced and an SNR-adaptive deep JSCC mechanism with a convolutional block attention module (CBAM) is proposed,in which matrix operations are applied to features in spatial and channel dimensions respectively.The proposed solution concatenates the pooling feature with the SNR level and passes it sequentially through the channel attention network and spatial attention network to obtain the importance evaluation result.Experiments show that the proposed solution outperforms other baseline schemes in terms of peak SNR (PSNR) and structural similarity (SSIM),particularly in low SNR scenarios or when dealing with complex image content.
Interface Design Strategy for GNS/AZ91 Composites with Semi-Coherent Structure

The interfacial structure plays an important role in the mechanical properties of magnesium matrix composite (MMCs) reinforced with graphene nanosheet (GNS) due to their poor wettability with the Mg matrix. An interface design strategy was proposed to form the semi-coherent interfacial structure with superior bonding strength. The lattice mismatch and interfacial bonding strength between Mg/rare earth oxide/carbon were utilized as key characteristics to evaluate the interfacial structure. Lanthanum oxide (La_2O_3) was selected as the intermediate candidate due to its low lattice mismatch and high interfacial bonding strength. To identify the interfacial structure of Mg/La_2O_3/graphene, first-principles calculations were conducted to calculate the ideal work of separation and electronic structure of the interfaces. Results demonstrated the presence of strong ionic and covalent interactions at the interface, which theoretically verified the strong interfacial bonding strength among Mg/La_2O_3/graphene interfaces. To experimentally validate the interface strength, MMCs with the interface structure of Mg/La_2O_3/GNS were developed. The formation of in-situ La_2O_3 led to the successful attainment of semi-coherent structures between Mg/La_2O_3 and La_2O_3/GNS, resulting in high strength and good ductility of the composite. Overall, this work proposes a new approach to interface design in MMCs with an enhancement of mechanical properties.
Challenges and Strategies for Influenza Response After COVID-19 Pandemic

After the World Health Organization (WHO) declared the coronavirus disease 2019 (COVID-19) pandemic in March 2020,the implementation of the most effective interventions became a paramount public health priority in the global response to the COVID-19 pandemic,especially before vaccines were available.Several studies have demonstrated that nonpharmaceutical interventions (NPIs),such as social distancing,wearing facemasks,and school closures,can substantially control the transmission of respiratory infections,including severe acute respiratory syndrome,pandemic H1N1 in 2009,and the COVID-19 pandemic.However,various respiratory infections have become more prevalent since the COVID-19 pandemic.Since 2021,the incidence of respiratory syncytial virus (RSV) has rapidly increased in numerous countries,including the United States,Australia,England,Italy,Germany,and Switzerland.In December 2022,5 European countries,including France and the United Kingdom,reported an increase in group A streptococcal infections.Since mid-October 2023,Chinese surveillance systems have observed an increasing trend in respiratory infections caused by Mycoplasma pneumoniae among children in northern China.Moreover,the global landscape of seasonal influenza has been significantly affected by the COVID-19 pandemic,resulting in notable changes in its epidemic patterns (Figure 1).
Genetic Basis for Mucormycosis Progression in COVID-19 Patients:From Susceptibility to Severity

The dynamics of COVID-19 and mucormycosis reveal a complex interplay of genetic factors that influence the susceptibility,severity,and immune responses.COVID-19,caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),exhibits an increased incidence of mucormycosis,particularly in individuals with comorbidities or corticosteroid therapy.Mucormycosis is a fungal infection that affects the sinuses,orbits,and lungs and demands timely intervention with antifungal medications and surgery because of its life-threatening nature.Research on the genetic underpinnings of this intersection has unveiled key insights into the pathogenicity of Mucorales.Breakthroughs in genetic tools have exposed virulence factors,such as the CotH protein family and high-affinity iron-uptake mechanisms.Genetic susceptibility is a pivotal element in identifying individuals at risk of developing COVID-19,facilitating early detection,and allowing for personalized treatment strategies.DPP9,MIF,and TYK2 are among the genes implicated in COVID-19 severity,emphasizing the intricate relationship between genetic makeup and viral response.The genetic landscape extends to viral entry mechanisms,thereby affecting infection efficiency.Specific polymorphisms in genes such as IFNAR2,OAS3,and TYK2 are associated with COVID-19 severity,indicating shared genetic bases between severe and hospitalized cases.Mucormycosis is genetically predisposed,particularly in immunocompromised individuals.The challenge lies in understanding the genetic factors influencing susceptibility and offering insights into pathogenesis and potential therapeutic avenues.Organ transplantation adds another layer,increasing susceptibility to infections such as COVID-19 and mucormycosis.The impact of immunosuppression on COVID-19 severity remains elusive,necessitating ongoing research on the immunological mechanisms.Despite the challenges posed by emerging SARS-CoV-2 variants,the intricate connection between genetic factors and the interplay of COVID-19 and mucormycosis presents an opportunity for personalized treatment,targeted interventions,and refined public health strategies.
Overview of epigenetic degraders based on PROTAC, molecular glue, and hydrophobic tagging technologies

Epigenetic pathways play a critical role in the initiation, progression, and metastasis of cancer. Over the past few decades, significant progress has been made in the development of targeted epigenetic modulators (e.g., inhibitors). However, epigenetic inhibitors have faced multiple challenges, including limited clinical efficacy, toxicities, lack of subtype selectivity, and drug resistance. As a result, the design of new epigenetic modulators (e.g., degraders) such as PROTACs, molecular glue, and hydrophobic tagging (HyT) degraders has garnered significant attention from both academia and pharmaceutical industry, and numerous epigenetic degraders have been discovered in the past decade. In this review, we aim to provide an in-depth illustration of new degrading strategies (2017-2023) targeting epigenetic proteins for cancer therapy, focusing on the rational design, pharmacodynamics, pharmacokinetics, clinical status, and crystal structure information of these degraders. Importantly, we also provide deep insights into the potential challenges and corresponding remedies of this approach to drug design and development. Overall, we hope this review will offer a better mechanistic understanding and serve as a useful guide for the development of emerging epigenetic-targeting degraders.
Small-molecule agents for cancer immunotherapy

Cancer immunotherapy, exemplified by the remarkable clinical benefits of the immune checkpoint blockade and chimeric antigen receptor T-cell therapy, is revolutionizing cancer therapy. They induce long-term tumor regression and overall survival benefit in many types of cancer. With the advances in our knowledge about the tumor immune microenvironment, remarkable progress has been made in the development of small-molecule drugs for immunotherapy. Small molecules targeting PRR-associated pathways, immune checkpoints, oncogenic signaling, metabolic pathways, cytokine/chemokine signaling, and immune-related kinases have been extensively investigated. Monotherapy of smallmolecule immunotherapeutic drugs and their combinations with other antitumor modalities are under active clinical investigations to overcome immune tolerance and circumvent immune checkpoint inhibitor resistance. Here, we review the latest development of small-molecule agents for cancer immunotherapy by targeting defined pathways and highlighting their progress in recent clinical investigations.
Y染色体AZFb区部分缺失致无精子症1例报告并文献复习

Y染色体长臂中调控精子生成的AZF基因区域异常可导致男性不育症[1]的发生。且缺失位点和范围的不同,精子异常程度各不相同[2]。缺失主要发生在AZFa区、b区、c区,如AZFa区缺失患者多表现为唯支持细胞综合征[3]伴睾丸体积缩小,无精子生成; AZFb区缺失的患者表现为精子生成受阻,多停留在精母细胞阶段; AZFc区缺失表现多样化,精子数量可表现正常,也可能造成严重少弱精子症或无精子症[4-5]。
STEMI患者的再灌注策略:药物介入策略与直接PCI对比研究的进展

虽然直接经皮冠状动脉介入治疗(PCI)仍是急性ST段抬高型心肌梗死(STEMI)的首选再灌注策略,然而,每年仍有大量的新发STEMI患者无法于最佳时间窗内接受直接PCI治疗。近年来,学界开始越来越重视先溶栓再进行PCI治疗的"药物介入"策略,以及该策略与直接PCI在疗效和安全性方面的比较。近来的一些临床研究证据逐渐表明,药物介入策略对STEMI患者安全有效,特别是当确诊后无法于120 min内进行直接PCI治疗时,选择药物介入策略不亚于直接PCI。该文复习了近来这两大策略的对比研究,对STEMI患者的再灌注策略选择提出了新的建议。
AHP-熵权法结合均匀设计优选毅力含片的醇提工艺

目的优选中药复方毅力含片中红参、红景天、三七的醇提工艺。方法通过单因素试验筛选醇提工艺提取次数;以乙醇浓度、加醇倍数、提取时间为考察因素,以红景天苷、人参皂苷Rg1、人参皂苷Rb1、人参皂苷Re、三七皂苷R1的含量为综合评价指标,采用均匀设计法结合层次分析-熵权法优选醇提工艺。结果最佳醇提工艺条件为乙醇浓度85%,料液比为1∶ 5,提取时间90min,提取次数3次。结论优选得到的毅力含片醇提工艺稳定可行,重复性好,可为后续毅力含片的研究提供参考。
扁桃体滤泡树突状细胞肉瘤1例

本文报道1例发生于青年男性的扁桃体滤泡树突状细胞肉瘤(follicular dendritic cell sarcoma, FDCS)。患者男性,35岁,因“发现右扁桃体肿物20 d”就诊。术前活检提示右侧扁桃体恶性肿瘤可能性大,增强磁共振成像(magnetic resonance imaging,MRI)提示右侧扁桃体肿大,可见软组织肿物突向口咽腔,表面见溃疡影。患者在全身麻醉下行低温等离子右侧扁桃体及肿瘤切除术,术后病理确诊为FDCS。患者术后第8天出院,出院至今已规律随访3年,复查未见肿瘤复发及转移,预后良好。
环状RNA在喉鳞状细胞癌中的研究进展

喉鳞状细胞癌(laryngeal squamous cell carcinoma,LSCC)是头颈部常见的一种恶性肿瘤,发病部位隐蔽,早期自觉症状不明显,易发生颈部淋巴结转移,预后差。环状RNA(circular RNA, circRNA)是一种非编码RNA,具有单链闭环结构,稳定性高。随着研究的深入,研究者发现circRNA在LSCC患者的组织、细胞、外泌体和血液中表达异常,这些circRNA被认为是致癌基因或肿瘤抑制因子,可能会介导LSCC的发生、转移和化疗耐药性。尽管目前对circRNA在LSCC中的功能机制尚未充分了解,但研究表明,它们可以通过多种方式起到重要作用,例如成为微小RNA(microRNA,miRNA)的分子海绵,与RNA结合蛋白(RNA-binding protein,RBP)结合等。最终,circRNA可能成为LSCC诊治过程中潜在的生物标志物和治疗靶点。本文就circRNA在LSCC中的异常表达、生物学功能、分子机制及临床意义进行综述。在此基础上,我们希望揭示circRNA在肿瘤发生和进展中的作用,并展望circRNA在肿瘤研究中的作用。
Data-Driven Modeling of Maritime Transportation: Key Issues, Challenges, and Solutions

Maritime transportation plays a central role in global logistics systems. Over 80% of international trade is carried out via the maritime transportation network [1], which has received widespread attention from academia and industry. In the shipping network, ports are the vertices where large numbers of activities occur, including cargo loading, unloading, and transshipment. Ships sailing between different ports travel along routes that form the links of the network. Shipping operation studies usually cover ship routing, schedule design, fleet deployment, and network design.
Key Challenges and Chinese Solutions for SOTIF in Intelligent Connected Vehicles

Intelligent connected vehicles (ICVs) [1] represent a crucial strategic focus for global automobile industrial transformation and advancement. ICVs also play a significant role in enhancing driving safety, improving traffic efficiency, and enabling lowcarbon transportation. Consequently, numerous countries worldwide are expediting their efforts to establish a strong foundation for ICVs, progressing from technology research, development, and testing to widespread application and commercialization. This global momentum has resulted in a thriving ICV industry, demonstrating substantial growth and encouraging prospects.
Fine mapping and cloning of the sterility gene Bra2Ms in nonheading Chinese cabbage (Brassica rapa ssp. chinensis)

The application of a male-sterile line is an ideal approach for hybrid seed production in non-heading Chinese cabbage (Brassica rapa ssp. chinensis). However, the molecular mechanisms underlying male sterility in B. rapa are still largely unclear. We previously obtained the natural male sterile line WS24-3 of non-heading Chinese cabbage and located the male sterile locus, Bra2Ms, on the A2 chromosome. Cytological observations revealed that the male sterility of WS24-3 resulted from disruption of the meiosis process during pollen formation. Fine mapping of Bra2Ms delimited the locus within a physical distance of about 129 kb on the A2 chromosome of B. rapa. The Bra039753 gene encodes a plant homeodomain (PHD)-finger protein and is considered a potential candidate gene for Bra2Ms. Bra039753 was significantly downregulated in sterile line WS24-3 compared to the fertile line at the meiotic anther stage. Sequence analysis of Bra039753 identified a 369 bp fragment insertion in the first exon in male sterile plants, which led to an amino acid insertion in the Bra039753 protein. In addition, the 369 bp fragment insertion was found to cosegregate with the male sterility trait. This study identified a novel locus related to male sterility in non-heading Chinese cabbage, and the molecular marker obtained in this study will be beneficial for the marker-assisted selection of excellent sterile lines in non-heading Chinese cabbage and other Brassica crops.
Numerical simulations of Atlantic meridional overturning circulation (AMOC) from OMIP experiments and its sensitivity to surface forcing

Atlantic meridional overturning circulation (AMOC) plays an important role in transporting heat meridionally in the Earth's climate system and is also a key metrical tool to verify oceanic general circulation models. Two OMIP (Ocean Model Intercomparison Project phase 1 and 2) simulations with LICOM3 (version 3 of the LASG/IAP Climate System Ocean Model) developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics (IAP), are compared in this study. Both simulations well reproduce the fundamental characteristics of the AMOC, but the OMIP1 simulation shows a significantly stronger AMOC than the OMIP2 simulation. Because the LICOM3 configurations are identical between these two experiments, any differences between them must be attributed to the surface forcing data. Further analysis suggests that sea surface salinity (SSS) differences should be mainly responsible for the enhanced AMOC in the OMIP1 simulation, but sea surface temperature (SST) also play an unignorable role in modulating AMOC. In the North Atlantic, where deep convection occurs, the SSS in OMIP1 is more saline than that in OMIP1. We find that in the major region of deep convection, the change of SSS has more significant effect on density than the change of SST. As a result, the SSS was more saline than that in OMIP2, leading to stronger deep convection and subsequently intensify the AMOC. We conduct a series of numerical experiments with LICOM3, and the results confirmed that the changes in SSS have more significant effect on the strength of AMOC than the changes in SST.
Active disturbance rejection distributed secondary control for DC microgrids

A novel control scheme is presented to eliminate the negative effects of communication disturbances, which introduces active disturbance rejection control (ADRC) in the control strategy design to achieve the objectives of the restoration of the bus voltage and the sharing of the power even in the presence of disturbances and delays in communication. Simultaneously, its dynamic disturbance decoupling feature is used to realise the decoupling between power and voltage, so that the proposed controller only exchanges power information with its neighbours, reducing the communication burden and simplifying control structure. The control performance of the strategy is verified by employing steady-state analysis. The impact of controller parameters is studied by establishing a small signal model. Finally, both simulation cases and experimental tests prove the feasibility of this scheme.
Enhanced Redox Electrocatalysis in High-Entropy Perovskite Fluorides by Tailoring d-p Hybridization

High-entropy catalysts featuring exceptional properties are,in no doubt,playing an increasingly significant role in aprotic lithium-oxygen batteries.Despite extensive effort devoted to tracing the origin of their unparalleled performance,the relationships between multiple active sites and reaction intermediates are still obscure.Here,enlightened by theoretical screening,we tailor a high-entropy perovskite fluoride (KCoMnNiMgZnF3-HEC) with various active sites to overcome the limitations of conventional catalysts in redox process.The entropy effect modulates the d-band center and d orbital occupancy of active centers,which optimizes the d-p hybridization between catalytic sites and key intermediates,enabling a moderate adsorption of LiO_2 and thus reinforcing the reaction kinetics.As a result,the Li-O_2 battery with KCoMnNiMgZnF_3- HEC catalyst delivers a minimal discharge/charge polarization and long-term cycle stability,preceding majority of traditional catalysts reported.These encouraging results provide inspiring insights into the electron manipulation and d orbital structure optimization for advanced electrocatalyst.
基于《傅青主女科》特色调经法论治子宫内膜异位症

子宫内膜异位症属于中医妇科痛证与血证的范畴。该病在古代没有明确的记载,但子宫内膜异位症同其他月经类疾病相较有着更为特殊的临床特征。我们研究发现,《傅青主女科》中部分有关治疗月经病的记载与子宫内膜异位症的临床症状较为相似,主要包括经前腹痛、经前便血、经量过多等。傅青主在治疗这些症状时有着独特的理念,主要为:经前腹痛,重在疏通冲任;经水不顺,首治心、肾、肝;经量增多,重在补血归经;少腹急迫,重在利气宽带。傅青主在治疗子宫内膜异位症相关症状时,善用巴戟天、黑芥穗、白芍、当归、熟地黄等,首重消除病因,其特色的理法方药可为临床治疗子宫内膜异位症提供借鉴参考。
黄石老年营养干预模式在健康老龄化工作推进中的探索

合理膳食作为三大健康基石之一,是各项推进工作中的重要一环。黄石市卫健委结合本地养老结构特点和科普宣传基础以及营养干预经验,开展了黄石老年营养在健康老龄化中的应用现状调研,探索创建了适合黄石地区的四维一体老年营养干预模式:养老机构、医疗机构、基层卫生机构、社区健康食堂同步发力,从集中养老、慢病干预、家庭入户、老年便捷供餐方面进行营养干预,整体提升老年营养科普、宣教、膳食指导、营养配餐、膳食补充剂指导的干预力度,联合卫健委、民政、社区协力扩大老年营养干预范围,从多层面、广范围地提升老年营养改善效果,提升营养干预力度。
黄花忍冬茎和叶提取液中绿原酸的检测及其体外抑菌研究

目的测定黄花忍冬茎和叶中绿原酸的含量,考察其抑菌效果.方法采用HPLC法对黄花忍冬茎和叶中绿原酸含量进行测定,最小抑菌浓度(MIC)测定法对其抑菌效果进行考察.结果黄花忍冬茎木质部,韧皮部和叶中绿原酸的含量分别为0.34%,0.27%,0.11%.黄花忍冬茎和叶提取液对大肠杆菌,金黄色葡萄球菌,枯草芽孢杆菌均有一定的抑制作用.结论黄花忍冬茎和叶中均含有绿原酸,其含量和抑菌效果因部位的不同而有差异
微生物转化半枝莲抑菌活性的研究

目的研究微生物转化对半枝莲抑菌活性的影响.方法以冬虫夏草为菌种对半枝莲进行微生物转化,采用滤纸片法和微量稀释法检测转化前后半枝莲水提液和挥发油的抑菌活性.结果发酵液对腐生葡萄球菌和鼠伤寒沙门氏菌抑制作用明显增强;发酵后挥发油对阴沟肠杆菌,腐生葡萄球菌抑制作用微弱增强.结论半枝莲经冬虫夏草菌生物转化后对某些菌抑制作用有所增强
苦丁茶老叶水提取物的长期毒性实验研究

目的观察广西苦丁茶老叶水提取物对大鼠长期毒性实验的影响.方法将高剂量(12 g/kg),中剂量(8 g/kg),低剂量(4g/kg)的苦丁茶老叶提取物连续给大鼠灌服11周,分别测量大鼠体质量,计算脏器系数,测定血液学和血液生化学等指标,并作组织病理学检查.结果中剂量组苦丁茶老叶提取物能明显增加肝重量脏器系数(P<0.05),高剂量组苦丁茶老叶提取物能明显降低肝重量脏器系数,WBC数量(P<0.01),高剂量组显著性地使TP,ALB,T-Cho和TG水平升高,此外高剂量组中部分肝和肾有病理学变性.结论在一定剂量范围内苦丁茶使用有较大的安全性,但过高剂量长期使用可造成肝,肾一定程度的损伤,对血细胞特别是WBC有一定的抑制作用
卫气运行速度与四时的关系探讨

<<内经>>认为人体是一个统一的有机整体, 并与外界环境息息相关, 如<<灵枢·岁露论>>云: "人与天地相参也, 与日月相应也. "自然界的各种运动变化, 常直接或间接地对人类产生巨大的影响. 人与自然界是一个动态变化的整体, 人体作为一个小宇宙, 有类似自然界太阳功能的客观存在, 这就是卫气. 如<<素问·生气通天论篇>>中的"阳气者, 若天与日". 人之卫气具有天之阳气诸多特点和功用, 又随自然昼夜节律变化发生相应的改变, 即卫气在周身的运行与太阳运动息息相关. 本文根据<<内经>>卫气理论, 通过卫气昼夜运行规律与二十八星宿和漏壶计时法的关系推算出随季节变化的卫气运行速度变化, 探讨其对针灸治疗的指导意义
倍他司汀联合银杏达莫治疗52例椎基底动脉供血不足性眩晕的疗效观察

目的观察倍他司汀联合银杏达莫注射液治疗椎基底动脉供血不足性眩晕的疗效.方法将96例住院患者按住院号的单双号随机分为治疗组和对照组,治疗组每天予以倍他司汀口服,同时静脉滴注银杏达莫注射液;对照组静脉滴注复方丹参注射液.观察治疗前后的临床疗效并经颅多普勒超声测量平均血流速度的变化.结果治疗组能快速缓解临床症状,平均血流速度的改善也优于对照组(P<0.05).结论倍他司汀联合银杏达莫注射液治疗椎基底动脉供血不足性眩晕的效果显著,无明显不良反应