鸡胚及禽类细胞系在生物医药领域的应用及研究进展

鸡胚因发育过程清楚，长久以来作为基础和应用科学研究领域重要的实验模型，尤其在鸡胚发育早期绒毛尿囊膜阶段，因其血管丰富，是天然的免疫缺陷宿主，是病理学、药理学和肿瘤学等研究领域的理想实验模型。作者简述了发育早期的鸡胚组织结构，并介绍了鸡胚绒毛尿囊膜在肿瘤研究、血管生成、器官移植、烧伤等疾病机理研究中的应用，以及在鸡胚病理模型基础上进行的抗肿瘤药物筛选的应用。重点介绍了鸡胚及禽类细胞系在病毒繁殖和疫苗生产、治疗性蛋白和单抗生产方面的应用研究进展。多种人源病毒、禽源病毒、支原体等可在鸡胚及禽类细胞上增殖，并用于疫苗生产。作者对常用的禽类纤维原细胞和多能干细胞的发展和特点进行了阐述，并总结了商业化的禽类细胞系来源以及部分易感病毒。鸡胚表达系统能够在目的蛋白特定位点产生人源化糖基，减少目的蛋白对人的过敏反应，且禽蛋廉价易得，可作为生产人用单克隆抗体和治疗性蛋白的合适供体。作者介绍了鸡胚及禽类细胞系在生物医药领域应用的最新进展，并对鸡胚作为动物模型在未来的应用进行了展望。     

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield.Biomass is also a key trait in increasing grain yield by crop breeding.The aims of this study were(i)to identify the best vegetation indices for estimating maize biomass,(ii)to investigate the relationship between biomass and leaf area index(LAI)at several growth stages,and(iii)to evaluate a biomass model using measured vegetation indices or simulated vegetation indices of Sentinel 2A and LAI using a deep neural network(DNN)algorithm.The results showed that biomass was associated with all vegetation indices.The three-band water index(TBWI)was the best vegetation index for estimating biomass and the corresponding R2,RMSE,and RRMSE were 0.76,2.84 t ha−1,and 38.22%respectively.LAI was highly correlated with biomass(R2=0.89,RMSE=2.27 t ha−1,and RRMSE=30.55%).Estimated biomass based on 15 hyperspectral vegetation indices was in a high agreement with measured biomass using the DNN algorithm(R2=0.83,RMSE=1.96 t ha−1,and RRMSE=26.43%).Biomass estimation accuracy was further increased when LAI was combined with the 15 vegetation indices(R2=0.91,RMSE=1.49 t ha−1,and RRMSE=20.05%).Relationships between the hyperspectral vegetation indices and biomass differed from relationships between simulated Sentinel 2A vegetation indices and biomass.Biomass estimation from the hyperspectral vegetation indices was more accurate than that from the simulated Sentinel 2A vegetation indices(R2=0.87,RMSE=1.84 t ha−1,and RRMSE=24.76%).The DNN algorithm was effective in improving the estimation accuracy of biomass.It provides a guideline for estimating biomass of maize using remote sensing technology and the DNN algorithm in this region.     

Dynamics of Integration between Chinese and International Waste Paper Markets

ABSTRACT

China is the largest importer of waste paper in the world and is highly dependent on the international market. Thus, the relationship between Chinese and international waste paper markets affects the supply of fiber materials in China’s paper industry. This study examined the dynamic relationship between the two markets and the impact of newly implemented policies on both markets. We used unit root tests, cointegration test, vector error correction model (VECM) and frequency-domain Granger causality test to investigate the integration between Chinese and international waste paper markets and identify which of the two markets is the price leader. The results revealed that the two markets were integrated after controlling for structural breaks, and the Chinese market acted as the price leader. Since the supply of waste paper and wood pulp is insufficient in China to meet the fiber demand of the paper industry, waste paper import restrictions have significantly affected the supply of fiber materials in China’s paper industry. Therefore, the Chinese government should fully consider the benefit of market integration and make full use of international waste paper resources to satisfy the large domestic demand for paper products.     

Development of a linear mixed-effects individual-tree basal area increment model for masson pine in Hunan Province,South-central China

ABSTRACT

An individual-tree basal area increment model was developed for masson pine based on 26276 observations of 13,138 trees in 987 sample plots from the 7th (2004), 8th (2009), and 9th (2014) Chinese National Forest Inventory in Hunan Province, South-central China. The model was built using a linear mixed-effects approach with sample plots included as random effects since the data have a hierarchical stochastic structure and biased estimates of the standard error of parameter estimates could be a consequence of applying ordinary least square (OLS) for regression. In addition, within-plot heteroscedasticity and autocorrelation were also considered. The final mixed-effects model was determined according to the Akaike information criterion (AIC), Bayesian information criterion (BIC), log-likelihood (Loglik), and the likelihoodratio test (LRT). The results revealed that initial diameter (DBH), the sum of the basal area (m²/ha) in trees with DBHs larger than the DBH of the subject tree (BAL), number of trees per hectare (NT), and elevation (EL) had a significant impact on individual-tree basal area increment. The mixed-effects model performed much better than the basic model produced using OLS. Additionally, the variance structure of the model errors was successfully modeled using the power function. However, the autocorrelation structures were not defined because there was no autocorrelation amongst the data. It is believed that the final model will contribute to the scientific management of the masson pine.     

玉米大豆间作种植密度耦合数学模型及其优化方案研究

云南省大豆的种植主要以与玉米间作为主,适宜的种植密度是获得高产的前提,为研究种植密度对群体产量和经济产值的影响,找到最佳种植密度组合。采用二次饱和D-最优设计,分别在云南嵩明县（A）、会泽县（B）和鲁甸县（C）等3个点进行试验。研究了玉米和大豆种植密度对群体产量和经济产值的影响,并分别建立二元二次数学模型。结果表明：玉米和大豆密度对间作群体产量和经济产值影响显著,均呈凸抛物线型变化,在低密度水平下,群体产量和经济产值随密度的增加而增加。通过模型解析表明,玉米+大豆密度组合分别为64 110株/hm ²+147 013株/hm ²（A）、63 068株/hm ²+147 116株/hm ²（B）、64 059株/hm ²+145 077株/hm ²（C）时,各试验点可分别达到最高群体产量。玉米+大豆密度组合分别为62 909株/hm ²+149 852株/hm ²（A）、61 499株/hm ²+151 807株/hm ²（B）、62 762株/hm ²+147 108株/hm ²（C）时,各试验点可分别达到最高产值。经模拟得出,在本试验条件下,各试验点玉米大豆间作群体产量≥12 270kg/hm ²、经济产值≥24 000元/hm ²的最佳密度组合分别为玉米59 251~66 437株/hm ²、大豆140 075~161 495株/hm ²（A）,玉米58 927~65 366株/hm ²、大豆144 159~169 203株/hm ²（B）,玉米58 821~66 703株/hm ²、大豆139 315~154 886株/hm ²（C）。合理的密度搭配能有效提高群体产量,获得较高经济产值。     

Rhynchosporium leaf scald disease incidence: seed source and spatial pattern

A programme of field trials for the study of the winter barley–Rhynchosporium commune pathosystem is reported. The associated seedborne disease rhynchosporium leaf scald is regarded as having an important impact on barley yields. The analysis in this study relates to the impact of the seed source (commercial or farm-saved seed) on disease incidence and to the spatial pattern of rhynchosporium leaf scald disease incidence. Disease incidence data were calculated from field data recorded as disease severity. Mean disease incidence was higher in the crops grown from farm-saved seed than in those grown from commercial seed, although great agronomic significance cannot be attached to this result. The spatial pattern of rhynchosporium leaf scald disease incidence was characterized in terms of the binary power law (BPL) and was indicative of an aggregated pattern. Programme-wide BPL results were described using a novel phytopathological application of a random coefficients model. These results have application in field sampling for rhynchosporium leaf scald disease.     

中国农业面源污染排放的空间差异及其动态演变

以2003—2014年为研究时段,在测算农业面源污染排放强度的基础上,综合运用基尼系数和非参数估计方法,研究我国农业面源污染的空间差异及其动态演变,结果表明:1)我国农业面源污染排放总体下降,且表现出明显的空间差异,东部和中部地区的排放强度较高,西部和东北地区则相对较低。2)2003—2014年,中国农业面源污染排放强度的区域差异略微扩大,地区间差异是其总体差异的主要来源。3)核密度估计结果表明,中国农业面源污染排放总体差异表现为"下降-上升-下降"的波动变化趋势。4)马尔科夫链分析表明,中国农业面源污染在不同类型间的相互流动较为微弱,但从长期来看,存在向两极分化发展的趋势特征。     

都市餐饮企业的净菜需求影响因素分析——以北京市为例

净菜的广泛使用能提高餐饮企业的出餐率,减少其后厨面积、劳动用工和厨余垃圾。基于北京地区708份餐饮企业净菜需求的问卷调查样本,运用垄断竞争市场理论和二元选择模型分析了影响餐饮企业净菜使用行为的具体因素。研究发现,对净菜了解程度不够和净菜价格偏高是制约餐饮企业使用净菜的主要因素,具有不同个体特征和环境特征的餐饮企业选择净菜的倾向性不同。建议在餐饮业大力开展净菜宣传科普工作;大力扶持净菜加工企业和发展相关技术支撑体系以降低净菜价格。     

PBL模式《小动物透明标本制作与技术改良》建设与教学探索

《小动物透明标本制作与技术改良》课程引入国际流行的PBL(Problem based learning)教学模式,通过教师引导,学生自主学习、讨论制定实验方案,主动动手操作,并总结汇报实验成果的教学流程,探讨小动物透明标本的制作方法及技术改良手段,以及创新性实验课程的开设模式。教学实践表明:基于PBL的实验教学模式不仅使学生自主操作改良了小动物透明标本的制作方案,更大大的提高了学生的学习积极性,进而科普并巩固了动物解剖学的专业基础知识。     

副车架疲劳载荷分析方法

结合LMSTWR软件,详细介绍了基于混合路面的轮心位移反求法求取副车架载荷谱的方法。通过在某MPV上布置合适传感器,在试验场测得道路载荷谱信号。根据实测的数据,建立整车多体动力学模型。基于处理后的道路载荷谱与多体动力学模型进行虚拟迭代,并进行副车架载荷分解。结果表明,迭代仿真得到的信号与试验值吻合度较好。