基于JS和正则表达式的客户端数据验证方法研究

介绍了数据验证的含义和重要性,通过对传统服务器端数据验证方式及其弊端的分析,以及对客户端数据验证可行性分析,给出了基于JS和正则表达式的客户端数据验证方法及其组成,同时说明了客户端数据验证方式的局限性并提出客户端验证和服务器端验证相结合的解决方法.     

Obtaining the best possible predictions of habitat selection for wintering Great Bustards in Cangzhou,Hebei Province with rapid machine learning analysis

Great Bustards （Otis tarda dybowskii） are one of the world＇s heaviest flying birds, occupying grassland hab- itats in Eastern Asia. Our study is located at the most eastern Chinese wintering site in Cangzhou, Hebei Province, where approximately 100 individuals are concentrated in a small area （17.53 km2）. Solid information is still lacking about the wintering areas for this subspecies in its eastern range and specifically for China. The study area consists of intensely used farmland in proximity to humans and is lacking con- servation areas and wild, open fields. Here, we present our results from two years of field data collection on habitat selection. We choose a machine learning model approach based on a rapid assessment methodology for the winter habitat of the Great Bustard. It is based on a spatial analysis of the best available environmental data, which were col- lected relatively quickly. These relatively new methods in ecology are based on an ensemble of decision trees and include algorithms such as TreeNet, Random Forest and CART used in parallel. In this study, we collected bustard droppings （presence only） from 48 locations between December 2011 and January 2012 and used the sites as training data. Droppings from 23 locations were collected in November 2012, and those sites were used as test data. We used eight environmental variables as predictor layers for the response variable of bustard presence/availability. We employed a Geographic Information System （ArcGIS 10.1and Geospatial Modelling Environment） and Google Earth. Compared with the other three models, we found that pre- dictions from Random Forest obtained a significant differ- ence between presence and absence. According to this model, the three most important factors for wintering Great Bustards are distance to residential area, distance to water pools, and farmland area. Our model shows that wintering Great Bustards prefer locations that are over 400 m away from residential areas, within 900 m of water pools and on areas o     

岩土体对锚索预应力的响应特性

基于空间半无限体理论,对外锚头预应力线荷载在岩土体中的传递规律进行了研究.给出了锚墩下岩土体内任意点的应力及位移分布形式及相应的表达式.通过数值模拟,得到与理论计算一致的结果,结果表明：锚墩下岩土体形成一个近似椭球状的压缩区,位移等值线呈U型.锚墩下岩土体的应力和位移均呈双曲线形式分布,锚墩之间部分岩土体在一定深度内形成无应力锥区.据此提出锚索间距的＂预应力墙厚度＂设计法,锚墩间无应力区锚杆补强方法.     

我国快堆技术发展的现状和前景

考虑到人口众多,经济快速发展,人民生活水平不断提高,人均能源相对贫乏和环境保护,国家已决策加快核能应用的发展。采用压水堆－快堆匹配闭式燃料循环达到核能供应的快速增长和可持续性的基本战略已经决定,也决定了分离和用快堆和ADS对高放废物（MA）的嬗变战略。笔者建议快堆工程发展将分三步进行,中国实验快堆（CEFR,65 MWt/20 MWe）,中国原型/示范快堆（CEFR／CDFR,大于等于1 500 MWt/600 MWe）和中国经济验证性快增殖堆（CDFBR,1 000 MWt/1 500 MWe）。CPF     

陈慧林：南方医科大学公共卫生与热带医学学院广东省热带病研究重点实验室生物统计学系王 挺(1978-)：男,讲师,硕士研究生,从事应用统计学研究。E-mail:wangt029@126.com

【】目的 探讨四种病死率估计模型在疫情初期,对不同疫情类型、疫情规模下估计效能的差异。方法 根据病死率恒定与逐渐下降两种模拟设计,以样本量为1500及200分别完成四种估计模型、两个真实估计值在四个时间点的1000次独立估计。结果 病死率恒定时,法1b和法4a具有明显优势;病死率逐渐降低时,早期法1b、法 4a 以及法 3 均能较理想估计病死率,后期效果欠佳,且敏感性低;但法 1a 和法 2 在后期无论在精度还是敏感性都较好。样本量的差异对模型估计效能影响不大。结论法 1b 和法 4a 在病死率恒定时以及逐渐递减的早期能较准确估计病死率,在逐渐递减后期法 1a 和法 2 估计效果有优势;疫情规模对其影响不大。     

AtSNX1 defines an endosome for auxin-carrier trafficking in Arabidopsis

Polarized cellular distribution of the phytohormone auxin and its carriers is essential for normal plant growth and development. Polar auxin transport is maintained by a network of auxin influx (AUX) and efflux (PIN) carriers. Both auxin transport and PIN protein cycling between the plasma membrane and endosomes require the activity of the endosomal GNOM; however, intracellular routes taken by these carriers remain largely unknown. Here we show that Arabidopsis thaliana SORTING NEXIN 1 (AtSNX1) is involved in the auxin pathway and that PIN2, but not PIN1 or AUX1, is transported through AtSNX1-containing endosomes. We demonstrate that the snx1-null mutant exhibits multiple auxin-related defects and that loss of function of AtSNX1 severely enhances the phenotype of a weak gnom mutant. In root cells, we further show that AtSNX1 localizes to an endosomal compartment distinct from GNOM-containing endosomes, and that PIN2 accumulates in this compartment after treatment with the phosphatidylinositol-3-OH kinase inhibitor wortmannin or after a gravity stimulus. Our data reveal the existence of a novel endosomal compartment involved in PIN2 endocytic sorting and plant development.     

纳米石墨颗粒与SDS复配对CO2水合物生成诱导时间的影响

为得到有效降低气体水合物生成诱导时间的工艺方法,在277.15 K、不同压力(2.5~6.5 MPa)条件下,利用釜式水合物实验装置,开展了0.5%纳米石墨颗粒与表面活性剂SDS复配对水合物生成诱导时间影响的实验研究。结果表明,随压力的升高,水合物生成的诱导时间呈现降低趋势,平均降幅达5.8 min/MPa。277.15 K、4.5 MPa时,纳米石墨颗粒与SDS的引入使得体系较纯水体系中水合物生成的诱导期均呈不同程度的缩短趋势,降幅达20%左右。而二者复配体系的诱导时间较纯水体系显著缩短,如0.5%纳米石墨与0.03%SDS复配体系与相同条件下的纯水体系相比降幅高达61.8%。纳米石墨颗粒与SDS的复配有效加快了水合物成核速率,显著缩短了水合物生成的诱导时间;且其在对水合物生成的诱导时间上的作用效果较对应浓度的单一添加剂体系更好,二者复配型水合物生成促进剂的开发是今后重点研究的方向。     

A composite controller for grid connected photovoltaic systems

This paper addresses a new composite controller for a boost-buck inverter to interface the photovoltaic array with the power grid. Based on dynamically tracking the maximum power point, two novel control methodologies are proposed to control the DC-bus and the output current for the inverter. First, a new linear cycle discrete control algorithm is introduced to realize linear control of the DC-bus voltage and synchronously get the reference current for the inner current loop with a little calculation. Then, to assure a good adaptability to noise and model uncertainty, an auto-disturbance rejection controller is chosen as the output current controller, which does not depend on precise mathematics model. Thus, output current of PV system to the grid is with low harmonic distortion and unity power factor. Simulations and experiments are performed, and the results show that the system is of excellent robustness and effective.     

网络环境下高校学科馆员制度浅析

从学科馆员制度的建设出发,论述了高校图书馆建立学科馆员制度的必要性,阐述了学科馆员所必备的素质及其服务内容。     

通用可量化信息系统脆弱性管理软件研究与设计

通用可量化信息系统脆弱性管理软件由中央控制台、分析中心、二级界面、任务管理器、结果服务和工作部件组成,并采用了面向风险评估的分布式脆弱性扫描与管理技术、定量与定性相结合的风险评估技术、实时自动的系统加固与修复技术以及基于Agent技术的个体脆弱性自动管理技术,实现了对通用信息系统脆弱性进行管理的功能,进而满足了日益迫切的对信息系统进行风险评估及脆弱性管理的需求.