mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Metabolomic Profiling in Selaginella lepidophylla at Various Hydration States Provides New Insights into the Mechanistic Basis of Desiccation Tolerance

Selaginella lepidophylla is one of only a few species of spike mosses (Selaginellaceae) that have evolved desiccation tolerance (DT) or the ability to 'resurrect' from an air-dried state. In order to understand the metabolic basis of DT, S. lepidophylla was subjected to a five-stage, rehydration/dehydration cycle, then analyzed using non-biased, global metabolomics profiling technology based on GC/MS and UHLC/MS/MS2 platforms. A total of 251 metabolites including 167 named (66.5%) and 84 (33.4%) unnamed compounds were characterized. Only 42 (16.7%) and 74 (29.5%) of compounds showed significantly increased or decreased abundance, respectively, indicating that most compounds were produced constitutively, including highly abundant trehalose, sucrose, and glucose. Several glycolysis/gluconeogenesis and tricarboxylic acid (TCA) cycle intermediates showed increased abundance at 100% relative water content (RWC) and 50% RWC. Vanillate, a potent antioxidant, was also more abundant in the hydrated state. Many different sugar alcohols and sugar acids were more abundant in the hydrated state. These polyols likely decelerate the rate of water loss during the drying process as well as slow water absorption during rehydration, stabilize proteins, and scavenge reactive oxygen species (ROS). In contrast, nitrogen-rich and y-glutamyl amino acids, citrulline, and nucleotide catabolism products (e.g. allantoin) were more abundant in the dry states, suggesting that these compounds might play important roles in nitrogen remobilization during rehydration or in ROS scavenging. UV-protective compounds such as 3-(3-hydroxyphenyl)propionate, apigenin, and naringenin, were more abundant in the dry states. Most lipids were produced constitutively, with the exception of choline phosphate, which was more abundant in dry states and likely plays a role in membrane hydration and stabilization. In contrast, several poly-unsaturated fatty acids were more abundant in the hydrated states, suggesting that these compounds likely help maintain membrane fluidity during dehydration. Lastly, S, lepidophylla contained seven unnamed compounds that displayed twofold or greater abundance in dry or rehydrating states, suggesting that these compounds might play adaptive roles in DT.
Selective Mimics of Strigolactone Actions and Their Potential Use for Controlling Damage Caused by Root Parasitic Weeds

Strigolactones (SLs) are a novel class of plant hormones and rhizosphere communication signals, although the molecular mechanisms underlying their activities have not yet been fully determined. Nor is their application in agriculture well developed. The importance of plant hormone agonists has been demonstrated in both basic and applied research, and chemicals that mimic strigolactone functions should greatly facilitate strigolactone research. Here, we report our discovery of a new phenoxyfuranone compound, 4-Br debranone (4BD), that shows similar activity to that of the major strigolactone (SL) analog GR24 in many aspects of a biological assay on plants. 4BD strongly inhibited tiller bud outgrowth in the SL-deficient rice mutant d10 at the same concentration as GR24, with no adverse effects, even during prolonged cultivation. This result was also observed in the Arabidopsis thaliana SL-deficient mutants max1, max3, and max4. However, the application of 4BD to the Arabidopsis SL-insensitive mutant max2 induced no morphological changes in it. The expression of SL biosynthetic genes was also reduced by 4BD treatment, probably via negative feedback regulation. However, in a seed germination assay on Striga hermonthica, a root parasitic plant, 4BD showed far less activity than GR24. These results suggest that 4BD is the first plant-specific strigolactone mimic.
Research Article Analysis of Oseltamivir Resistance Substitutions in Influenza Virus Glycoprotein Neuraminidase using a Lentivirus-Based Surrogate Assay System

Influenza A virus poses a great threat to global health, and oseltamivir (trade marked as Tamiflu), which targets influenza surface glycoprotein neuraminidase (NA), is used clinically as a major anti-influenza treatment. However, certain substitutions in NA can render an influenza virus resistant to this drug. In this study, using a lentiviral pseudotyping system, which alleviates the safety concerns of studying highly pathogenic influenza viruses such as avian influenza H5N1, that utilizes influenza surface glycoproteins (hemagglutinin or HA, and NA) and an HIV-core combined with a luciferase reporter gene as a surrogate assay, we first assessed the functionality of NA by measuring pseudovirion release in the absence or presence of oseltamivir. We demonstrated that oseltamivir displays a dose-dependent inhibition on NA activity. In contrast, a mutant NA (H274Y) is more resistant to oseltamivir treatment. In addition, the effects of several previously reported substitution NA mutants were examined as well. Our results demonstrate that this lentivirus-based pseudotyping system provides a quick, safe, and effective way to assess resistance to neuraminidase inhibitors. And we believe that as new mutations appear in influenza isolates, their impact on the effectiveness of current and future anti-NA can be quickly and reliably evaluated by this assay.
Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research

A comprehensive but simple-to-use software package called DPS (Data Processing System) has been developed to execute a range of standard numerical analyses and operations used in experimental design, statistics and data mining. This program runs on standardWindows computers. Many of the functions are specific to entomological and other biological research and are not found in standard statistical software. This paper presents applications of DPS to experimental design, statistical analysis and data mining in entomology.
中西医结合护理模式指导下的护理干预措施对锁定钢板治疗胫骨平台骨折患者的影响

目的中西医结合护理模式指导下的护理干预措施对锁定钢板治疗胫骨平台骨折患者的影响。方法将我院骨科中心住院治疗的106例锁定钢板治疗胫骨平台骨折患者为分为两组,即A组和B组,A组患者仅给予胫骨平台骨折围手术期常规护理,而B组患者则给予中西医结合护理模式指导下的护理干预措施进行护理,比较两组患者焦虑抑郁情绪、基础护理合格率和患者对护理服务的满意度。结果干预4周,B组患者焦虑抑郁标准分明显低于A组的,有显著性差异(P<0.05),B组患者基础护理合格率和患者对护理服务的满意度均明显高于A组患者的,有显著性差异(P<0.05)。结论优质护理活动能够明显改善锁定钢板治疗胫骨平台骨折患者的焦虑抑郁情绪,提高患者基础护理质量合格率和患者对护理服务的满意度,值得推广。
实验与数学计算结合建立麻杏二陈煮散剂量换算公式

目的建立麻杏二陈汤饮片剂量换算成煮散剂量的公式,为临床使用其煮散提供剂量依据。方法分别将5个不同剂量的饮片、煮散制成汤剂,然后测定汤剂的质量,质量的考察指标为麻黄碱、苦杏仁苷含量、总固体量、相对密度,然后进行综合评分,将剂量与综合评分进行回归计算分别得各自的线性方程,根据汤剂质量相等、疗效相等的基本原理,饮片与煮散的回归方程合并成方程式,即可得到换算公式。结果饮片、煮散的线性方程为Y_(饮片)=0.302 8 + 0.001X_(饮片),r=0.9956;Y_(煮散)=0.3028 + 0.0101 1X_(煮散),r=0.9964;具有良好的相关性。饮片剂量换算成煮散剂量的方程式为X煮散=0.499 8X_(饮片)。结论换算公式科学实用、计算快捷、使用方便,适用于麻杏二陈煮散剂量的确定。
灯盏乙素对甲状腺素诱发心肌肥厚大鼠ATP酶、CaN活性和NO含量的影响

目的探讨灯盏乙素对L-甲状腺素(L- Thy)诱导的实验性心肌肥厚大鼠的作用以及对钠、钾-三磷酸腺苷酶(Na~+ -K~+ -ATPase)活性、钙-三磷酸腺苷酶(Ca~(2+) - ATPase)活性、钙调神经磷酸酶(CaN)活性和一氧化氮(NO)含量的影响。方法将大鼠随机分为正常组、模型组、卡托普利组(25 mg?kg~(-1))、灯盏乙素高、中、低剂量组(100,50,25 mg?kg~(-1))共6组。除正常组外,其余各组连续10 dip L-Thy诱导心肌肥厚性损伤,造模的同时ig相应的药物进行治疗。观察并检测灯盏乙素对损伤大鼠的心脏重量指数、左心室匀浆中Na~+ -K~+ -ATPase、Ca~(2+) - ATPase、CaN活性以及NO含量的影响。结果L-Thy损伤模型组心脏重量指数明显升高,Na~+ -K~+ -ATPase、Ca~(2+) -ATPase、CaN活性明显升高,而NO含量明显降低。灯盏乙素能明显降低心脏重量指数,抑制Na~+ -K~+ - ATPase、Ca~(2+) - ATPase、CaN活性的升高,对NO含量无明显影响。结论灯盏乙素可通过抑制ATPase和CaN的活性起到抗L-Thy诱导的心肌肥厚作用。
蛇床子等中药抑制Aβ42多肽聚集活性研究

目的研究几种中药抑制Aβ42多肽聚集沉淀的活性。方法分别制备蛇床子等十二味中药的石油醚、乙酸乙酯和甲醇提取物,用ThT荧光光谱法和E.coli模型对各提取物进行Aβ42聚集抑制活性研究。结果苦参、蛇床子和陈皮乙酸乙酯提取物能够大大降低作用体系ThT荧光强度,同时在E.coli模型中可以显著促进E.coli细胞生长(超过阳性对照样品EGCG)。此外,川楝子石油醚提取物也具有较强活性。结论川楝子、苦参、蛇床子、陈皮等含有抑制Aβ42聚集沉淀的活性成分,可作为抗AD中药进行深入系统研究。
小檗碱治疗肠道炎症的机制研究

小檗碱是一种常见的异喹啉生物碱,其作为中草药常用于治疗炎症,用于治疗细菌相关性腹泻、肠道寄生虫感染和眼部沙眼感染等已有几十年历史。除抗炎作用外,小檗碱还有抗氧化、抗肿瘤和神经保护作用,但这些作用与其抗炎特性有着密切联系。本文综合国内外对小檗碱应用于肠道疾病中的研究,综述小檗碱的抗炎机制。
调节性T细胞对破骨细胞的调控作用及其机制

绝经后骨质疏松症是绝经后女性常见病,是一种免疫反应增强的疾病,其发生与T细胞的活化和破骨细胞的功能改变密切相关。破骨细胞是机体骨骼重建的效应细胞之一,对骨吸收损伤引起的骨质疏松症起重要的调控作用。调节性T细胞作为重要的T细胞亚群,在免疫应答中发挥免疫抑制作用,其通过细胞间直接接触和细胞因子依赖两条途径实现对破骨细胞的形成、分化和功能的抑制作用。通过调节性T细胞对破骨细胞的调控作用及其机制的探讨,为绝经后骨质疏松症的治疗提供一种新的治疗线索。
慢性阻塞性肺疾病诊治指南(2013年修订版)

慢性阻塞性肺疾病(chronic obstructive pulmonary disease,简称慢阻肺)是一种严重危害人类健康的常见病、多发病,严重影响患者的生命质量,病死率较高,并给患者及其家庭以及社会带来沉重的经济负担。我国对7个地区20 245名成年人进行调查,结果显示40岁以上人群中慢阻肺的患病率高达8.2%。据“全球疾病负担研究项目(The Global Burden of Disease Study)”估计,2020年慢阻肺将位居全球死亡原因的第3位。世界银行和世界卫生组织的资料表明,至2020年,慢阻肺将位居世界疾病经济负担的第5位。为了规范慢阻肺的诊治,保证医疗质量,提高临床工作水平,从而更有效地减轻患者的病痛,提高生命质量,降低病死率,减轻疾病负担,1997年中华医学会呼吸病学分会曾组织我国有关专家参照国际经验,并结合我国实际情况,制定了“慢性阻塞性肺疾病诊治规范(草案)”。在此基础上,参照2001年慢性阻塞性肺疾病全球倡议(global initiative for chronic obstructive lung disease,GOLD)颁布的第1版“慢性阻塞性肺疾病诊断、处理和预防全球策略”(global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease),中华医学会呼吸病学分会慢性阻塞性肺疾病学组于2002年制定了“慢性阻塞性肺疾病诊治指南”,并于2007年发布了该指南的修订版。上述文件对提高我国慢阻肺的临床诊治水平以及促进与慢阻肺相关的临床研究工作发挥了重要的指导作用。
Western pacific warm pool and ENSO asymmetry in CMIP3 models

Theoretical and empirical studies have suggested that an underestimate of the ENSO asymmetry may be accompanied by a climatologically smaller and warmer western Pacific warm pool. In light of this suggestion, simulations of the tropical Pacific climate by 19 Coupled Model Intercomparison Project Phase 3 (CMIP3) climate models that do not use flux adjustment were evaluated. Our evaluation revealed systematic biases in both the mean state and ENSO statistics. The mean state in most of the models had a smaller and warmer warm pool. This common bias in the mean state was accompanied by a common bias in the simulated ENSO statistics: a significantly weak asymmetry between the two phases of ENSO. Moreover, despite the generally weak ENSO asymmetry simulated by all models, a positive correlation between the magnitude of the bias in the simulated warm-pool size and the magnitude of the bias in the simulated ENSO asymmetry was found. These findings support the suggested link between ENSO asymmetry and the tropical mean state-the climatological size and temperature of the warm pool in particular. Together with previous studies, these findings light up a path to improve the simulation of the tropical Pacific mean state by climate models: enhancing the asymmetry of ENSO in the climate models.
Asymmetry of surface climate change under RCP2.6 projections from the CMIP5 models

The multi-model ensemble (MME) of 20 models from the Coupled Model Intercomparison Project Phase Five (CMIP5) was used to analyze surface climate change in the 21st century under the representative concentration pathway RCP2.6, to reflect emission mitigation efforts. The maximum increase of surface air temperature (SAT) is 1.86°C relative to the pre-industrial level, achieving the target to limit the global warming to 2°C. Associated with the “increase-peak-decline” greenhouse gases (GHGs) concentration pathway of RCP2.6, the global mean SAT of MME shows opposite trends during two time periods: warming during 2006-55 and cooling during 2056-2100. Our results indicate that spatial distribution of the linear trend of SAT during the warming period exhibited asymmetrical features compared to that during the cooling period. The warming during 2006-55 is distributed globally, while the cooling during 2056-2100 mainly occurred in the NH, the South Indian Ocean, and the tropical South Atlantic Ocean. Different dominant roles of heat flux in the two time periods partly explain the asymmetry. During the warming period, the latent heat flux and shortwave radiation both play major roles in heating the surface air. During the cooling period, the increase of net longwave radiation partly explains the cooling in the tropics and subtropics, which is associated with the decrease of total cloud amount. The decrease of the shortwave radiation accounts for the prominent cooling in the high latitudes of the NH. The surface sensible heat flux, latent heat flux, and shortwave radiation collectively contribute to the especial warming phenomenon in the high-latitude of the SH during the cooling period.
Two modes of the silk road pattern and their interannual variability simulated by LASG/IAP AGCM SAMIL2.0

In this study, two modes of the Silk Road pattern were investigated using NCEP2 reanalysis data and the simulation produced by Spectral Atmospheric Circulation Model of IAP LASG, Version 2 (SAMIL2.0) that was forced by SST observation data. The horizontal distribution of both modes were reasonably reproduced by the simulation, with a pattern correlation coefficient of 0.63 for the first mode and 0.62 for the second mode. The wave train was maintained by barotropic energy conversion (denoted as CK) and baroclinic energy conversion (denoted as CP) from the mean flow. The distribution of CK was dominated by its meridional component (CK_y) in both modes. When integrated spatially, CK_y was more efficient than its zonal component (CK_x) in the first mode but less in the second mode. The distribution and efficiency of CK were not captured well by SAMIL2.0. However, the model performed reasonably well at reproducing the distribution and efficiency of CP in both modes. Because CP is more efficient than CK, the spatial patterns of the Silk Road pattern were well reproduced. Interestingly, the temporal phase of the second mode was well captured by a single-member simulation. However, further analysis of other ensemble runs demonstrated that the successful reproduction of the temporal phase was a result of internal variability rather than a signal of SST forcing. The analysis shows that the observed temporal variations of both CP and CK were poorly reproduced, leading to the low accuracy of the temporal phase of the Silk Road pattern in the simulation.
Variation of surface temperature during the last millennium in a simulation with the FGOALS-gl climate system model

A reasonable past millennial climate simulation relies heavily on the specified external forcings, including both natural and anthropogenic forcing agents. In this paper, we examine the surface temperature responses to specified external forcing agents in a millennium-scale transient climate simulation with the fast version of LASG IAP Flexible Global Ocean-Atmosphere-Land System model (FGOALS-gl) developed in the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics (LASG/IAP). The model presents a reasonable performance in comparison with reconstructions of surface temperature. Differentiated from significant changes in the 20th century at the global scale, changes during the natural-forcing-dominant period are mainly manifested in the Northern Hemisphere. Seasonally, modeled significant changes are more pronounced during the wintertime at higher latitudes. This may be a manifestation of polar amplification associated with sea-ice-temperature positive feedback. The climate responses to total external forcings can explain about half of the climate variance during the whole millennium period, especially at decadal timescales. Surface temperature in the Antarctic shows heterogeneous and insignificant changes during the preindustrial period and the climate response to external forcings is undetectable due to the strong internal variability. The model response to specified external forcings is modulated by cloud radiative forcing (CRF). The CRF acts against the fluctuations of external forcings. Effects of clouds are manifested in shortwave radiation by changes in cloud water during the natural-forcing-dominant period, but mainly in longwave radiation by a decrease in cloud amount in the anthropogenic-forcing-dominant period.
The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2

The Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2) was used to simulate realistic climates and to study anthropogenic influences on climate change. Specifically, the FGOALS-s2 was integrated with Coupled Model Intercomparison Project Phase 5 (CMIP5) to conduct coordinated experiments that will provide valuable scientific information to climate research communities. The performances of FGOALS-s2 were assessed in simulating major climate phenomena, and documented both the strengths and weaknesses of the model. The results indicate that FGOALS-s2 successfully overcomes climate drift, and realistically models global and regional climate characteristics, including SST, precipitation, and atmospheric circulation. In particular, the model accurately captures annual and semi-annual SST cycles in the equatorial Pacific Ocean, and the main characteristic features of the Asian summer monsoon, which include a low-level southwestern jet and five monsoon rainfall centers. The simulated climate variability was further examined in terms of teleconnections, leading modes of global SST (namely, ENSO), Pacific Decadal Oscillations (PDO), and changes in 19th-20th century climate. The analysis demonstrates that FGOALS-s2 realistically simulates extra-tropical teleconnection patterns of large-scale climate, and irregular ENSO periods. The model gives fairly reasonable reconstructions of spatial patterns of PDO and global monsoon changes in the 20th century. However, because the indirect effects of aerosols are not included in the model, the simulated global temperature change during the period 1850-2005 is greater than the observed warming, by 0.6°C. Some other shortcomings of the model are also noted.
Annual cycle and interannual variability in the tropical pacific as simulated by three versions of FGOALS

The seasonal cycle and interannual variability in the tropical oceans simulated by three versions of the Flexible Ocean-Atmosphere-Land System (FGOALS) model (FGOALS-g1.0, FGOALS-g2 and FGOALSs2), which have participated in phases 3 and 5 of the Coupled Model Intercomparison Project (CMIP3 and CMIP5), are presented in this paper. The seasonal cycle of SST in the tropical Pacific is realistically reproduced by FGOALS-g2 and FGOALSs2, while it is poorly simulated in FGOALS-g1.0. Three feedback mechanisms responsible for the SST annual cycle in the eastern Pacific are evaluated. The ocean-atmosphere dynamic feedback, which is successfully reproduced by both FGOALS-g2 and FGOALS-s2, plays a key role in determining the SST annual cycle, while the overestimated stratus cloud-SST feedback amplifies the annual cycle in FGOALS-s2. Because of the serious warm bias existing in FGOALS-g1.0, the ocean-atmosphere dynamic feedback is greatly underestimated in FGOALS-g1.0, in which the SST annual cycle is mainly driven by surface solar radiation.FGOALS-g1.0 simulates much stronger ENSO events than observed, whereas FGOALS-g2 and FGOALSs2 successfully simulate the observed ENSO amplitude and period and positive asymmetry, but with less strength. Further ENSO feedback analyses suggest that surface solar radiation feedback is principally responsible for the overestimated ENSO amplitude in FGOALS-g1.0. Both FGOALS-g1.0 and FGOALS-s2 can simulate two different types of El Ni-no events - with maximum SST anomalies in the eastern Pacific (EP) or in the central Pacific (CP) - but FGOALS-g2 is only able to simulate EP El Ni-no, because the negative cloud shortwave forcing feedback by FGOALS-g2 is much stronger than observed in the central Pacific.
Toxicity and clinical reasonable application of Taoren (Semen Persicae) based on ancient and modern literature research

OBJECTIVE: To probe the toxicity and relative application theory of the commonly-used traditional Chinese herbal drug Taoren (Semen Persicae), and set up a correct attitude and principle and method to use Taoren (Semen Persicae) for treating the syndrome of stagnation of blood stasis and others in TCM clinic. METHODS: In this study, we analyzed and probed the ancient and modern literature research about Taoren (Semen Persicae), and summarized the realization of its toxicity and application contraindications in ancient herbals and the research assertion of its processing, drug-nature, pharmacologic actions, adverse reaction, and clinical reasonable application in modern literature. RESULTS: We found that some TCM doctors were worried about the effect of Taoren (Semen Persicae) 's disintegrating blood stasis to impair body's healthy Qi and its toxicity, and were not good at using this herb. And some patients were afraid of its toxic and side-effect not to take it. In the ancient and modern literatures some proper hates of Taoren (Semen Persicae) existed, and the toxicity component was also clear-cut, and the applications of Taoren (Semen Persicae) were in many fields especially the gynecological and traumatological diseases. The key root of toxicity generation and unreasonable application of Taoren (Semen Persicae) lies in taking without syndrome differentiation or using with overdosage. CONCLUSION: Under the precondition of correct processing, treatment based on syndrome differentiation, and taking the dosage stipulated by laws to apply Taoren (Semen Persicae) should be quite safe. The ancient and modern literature records and researches about Taoren (Semen Persicae) provide the determinate reference for understanding Taoren (Semen Persicae)'s efficacy and drug-nature (toxicity) more objectively and also for further correctly clinic recognition and research on Taoren (Semen Persicae).
人肝癌组织父系表达基因10印记状态与差异性DNA甲基化区甲基化状态的关系

父系表达基因10 (paternally expressed gene 10,PEG10)是一个新的父系表达的遗传印记基因,在大多数肝癌组织中有表达,与肝癌发生和发展密切相关。大多数肝癌组织存在PEG10印记异常,主要表现为双等位基因同时表达的印记丢失。差异性DNA甲基化区(differentially methylated region, DMR)的甲基化状态与印记调控密切相关。
microRNA与心律失常的发生

microRNA (miRNA)是近年来新发现的一类长度为19?25个核苷酸单链的内源性非编码小RNA,其在进化过程中具有高度保守性,通过与靶mRNA的3'非翻译区不完全性互补配对,抑制编码蛋白靶基因的翻译或(和)降解靶基因,介导转录后基因调控,并参与细胞增殖、分化、凋亡、应激等多种生物学功能。miRNA的变化参与多种心血管疾病的发生和发展,以下对miRNA在心律失常发生中的作用进行综述。
HPLC法同时测定藏茵陈胶囊中7种有效成分

目的建立同时测定藏茵陈胶囊中獐牙菜苦苷、龙胆苦苷、獐牙菜苷、芒果苷、当药醇苷、1-羟基-3, 4, 5-三甲氧基呫吨酮和齐墩果酸的反相高效液相色谱(RP-HPLC)法。方法采用Diamonsil C_(18)柱(250 mm×4.6 mm,5 μm),流动相为甲醇-0.02%磷酸水溶液,梯度洗脱,体积流量1.0 mL/min,柱温为30 ℃;獐牙菜苦苷、龙胆苦苷、獐牙菜苷、芒果苷、当药醇苷和1-羟基-3, 4, 5-三甲氧基呫吨酮的检测波长为254 nm,齐墩果酸的检测波长为210 nm。结果獐牙菜苦苷、獐牙菜苷、龙胆苦苷、芒果苷、当药醇苷、1-羟基-3, 4, 5-三甲基呫吨酮和齐墩果酸分别在2.8~56.0、1.2~24.0、0.6~12.0、2.0~40.0、1.2~24.0、0.6~12.0、12.0~240.0 μg/mL与色谱峰面积呈良好线性关系;加样回收率分别为98.9%、101.2%、96.5%、98.6%、96.9%、97.8%、99.3%,RSD依次为1.14%、1.72%、1.31%、1.25%、1.37%、1.78%、2.23%。结论该方法简便、准确,重复性好,为藏茵陈胶囊的质量控制提供实验依据。
A review on statistical models for identifying climate contributions to crop yields

Statistical models using historical data on crop yields and weather to calibrate relatively simple regression equations have been widely and extensively applied in previous studies, and have provided a common alternative to process-based models, which require extensive input data on cultivar, management, and soil conditions. However, very few studies had been conducted to review systematically the previous statistical models for indentifying climate contributions to crop yields. This paper introduces three main statistical methods, i.e., time-series model, cross-section model and panel model, which have been used to identify such issues in the field of agrometeorology. Generally, research spatial scale could be categorized into two types using statistical models, including site scale and regional scale (e.g. global scale, national scale, provincial scale and county scale). Four issues exist in identifying response sensitivity of crop yields to climate change by statistical models. The issues include the extent of spatial and temporal scale, non-climatic trend removal, colinearity existing in climate variables and non-consideration of adaptations. Respective resolutions for the above four issues have been put forward in the section of perspective on the future of statistical models finally.