浅谈网络环境下高校图书馆馆员的信息素质教育

阐述了信息素质教育的涵义,探讨了图书馆馆员信息素质教育的重要性及现状,指出了图书馆馆员信息素质教育的构成、主要内容和实现图书馆馆员信息素质教育的途径。     

高校实验室信息管理系统的设计与实现

基于对高校实验室科学化、网络化管理的目的,采用查阅大量相关文献资料,分析国内外研究现状,进行系统设计、实现,并通过实践验证研究效果的技术路线,构建了基于B/S结构模式的高校实验室信息管理系统。通过在河北农业大学基础化学实验室的具体应用,达到了实验室无纸化办公、高效率管理的效果。     

浅析森林资源管理信息系统研究现状及发展

21世纪是信息时代,在信息社会中,随着网络技术的不断发展,科学技术的迅速发展,特别是"3S"技术在林业上广泛应用,森林资源的科学管理和高效应用是非常重要的,传统的森林资源管理模式已经不能适应时代的发展,因此,实现信息化管理势在必行。     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.     

农业机械管理的创新与发展

农业现代化是衡量国家现代化的一个重要指标。在国家强农惠农政策的引导下,东海县应逐步改变传统的农业生产模式,实现农业生产集中化、机械化、现代化。同时可尝试多行业、各技术融合,促进农机化和农机管理工作更上一层楼。     

丘陵山区农田信息采集车底盘爬坡性能仿真

针对丘陵山区精细农作时农田信息数据采集困难的现状,设计了一种新型的丘陵山区农田信息采集车底盘。为了提高该底盘的爬坡性能,运用多体动力学仿真软件RecurDyn中的低速履带模块(Track-LM),建立了该底盘的虚拟样机模型,并对其纵向和横向爬坡性能进行仿真研究,分析了不同坡角和路面对该底盘行驶速度、俯仰角、侧倾角及侧履带压力的影响。此研究可为改善该底盘爬坡性能提供理论依据。     

农田信息管理决策支持系统的设计与实现——基于Silverlight

随着我国农业的发展,农田分布范围不断扩大,产生的农田信息繁多而复杂。基于WebGIS的农业决策支持系统已在一些地区的现代化农业生产中得到了示范应用,但由于其客户端采用Ajax或Flex技术实现,存在多媒体功能不足及平台可移植性较差等问题。为此,借助WebGIS开放性平台,采用微软Silverlight技术,设计开发了基于Silverlight的农田信息管理决策支持系统,实现了地图基本操作、地块信息管理决策及环境信息管理决策等功能。该系统可以辅助用户管理农田信息,并为施肥及生产计划提供决策支持。在黑龙江红星农场的试用结果表明:系统自投入使用后运行正常,并能提供信息管理及适宜辅助决策支持。     

微分响应在降雨误差修正中的应用

误差修正是实时洪水预报研究和应用中的重要内容,从修正模型降雨输入角度出发,提出了一种基于微分响应的降雨误差修正方法,并通过实例论证了该方法修正降雨量的适用性。该方法通过计算降雨所对应模型的微分响应来修正降雨,从而修正出口断面流量过程。将该修正方法结合新安江模型,对闽江建阳流域的19场历史洪水进行了有效性检验,结果表明:此方法对洪量、洪峰的修正效果明显,且能够显著提高洪水预报的合格率,修正后合格率由63.2%提高到94.7%。     

信息技术用于汽车纵梁制造的探讨

文章以为汽车行业的健康发展提供指导和借鉴为目的,主要对汽车的纵梁平面图纸集成化制造中诸如参数提取、纵梁3D模型构建技术和Agent的网络集成技术的应用方法等进行了相关论述,以此为实现汽车行业的可持续发展而做出贡献。     

Accuracy of genomic prediction using imputed whole‐genome sequence data in white layers

There is an increasing interest in using whole‐genome sequence data in genomic selection breeding programmes. Prediction of breeding values is expected to be more accurate when whole‐genome sequence is used, because the causal mutations are assumed to be in the data. We performed genomic prediction for the number of eggs in white layers using imputed whole‐genome resequence data including ~4.6 million SNPs. The prediction accuracies based on sequence data were compared with the accuracies from the 60 K SNP panel. Predictions were based on genomic best linear unbiased prediction (GBLUP) as well as a Bayesian variable selection model (BayesC). Moreover, the prediction accuracy from using different types of variants (synonymous, non‐synonymous and non‐coding SNPs) was evaluated. Genomic prediction using the 60 K SNP panel resulted in a prediction accuracy of 0.74 when GBLUP was applied. With sequence data, there was a small increase (~1%) in prediction accuracy over the 60 K genotypes. With both 60 K SNP panel and sequence data, GBLUP slightly outperformed BayesC in predicting the breeding values. Selection of SNPs more likely to affect the phenotype (i.e. non‐synonymous SNPs) did not improve the accuracy of genomic prediction. The fact that sequence data were based on imputation from a small number of sequenced animals may have limited the potential to improve the prediction accuracy. A small reference population (n = 1004) and possible exclusion of many causal SNPs during quality control can be other possible reasons for limited benefit of sequence data. We expect, however, that the limited improvement is because the 60 K SNP panel was already sufficiently dense to accurately determine the relationships between animals in our data.