Predicting the age of fish using general and generalized linear models of biometric data: A case study of two estuarine finfish from New South Wales, Australia

Direct ageing of fish can be a laborious and expensive task when age estimates from a large population are required, and often involves a degree of subjectivity. This study examined the application of general and generalized linear models that predict the age of fish from a range of efficiently and objectively measured covariates. The data sampled were from yellowfin bream (Acanthopagrus australis (Sparidae) (Owen, 1853)) and sand whiting (Sillago ciliata (Sillaginidae) Cuvier, 1829) populations from New South Wales, Australia. The covariates evaluated in the models were fish length, otolith weight, sex and location (the estuary from which the fish were sampled). Akaike Information Criteria were used for model selection and residual plots of the final models revealed a satisfactory fit to the observations. The best fitting model for each species included all covariates. An additional investigation considered whether general and generalized linear models that predict age from two different categories of biometric information outperform age-length keys with respect to subsequent estimates of total mortality from catch-curve analysis. The two categories of biometric information differed in the ease and cost with which the information could be collected. The first category only included fish length and location as covariates, whilst the second category also included otolith weight and sex. It was found that traditional age-length keys outperformed the predictive models that estimated age from only fish length and location, because the results from the models were prone to significant bias. However, when otolith weight and sex were added as covariates to the predictive models, some of them, including a generalized linear model with a Poisson-distributed response variable, performed similarly to the age-length key. Given that otolith weight and the sex of fish are cheaper to quantify than age from a sectioned otolith in many situations, general or generalized linear models may represent a cheaper and faster method of estimating mortality compared to age-length keys. Such models can also easily incorporate the influence of spatial, temporal and demographic variation.     

加强学会工作的管理与研究

加强学会工作的管理,提高学术交流的水平值得研究.本文就学会工作的重要性、指导思想及构建五个平台建设进行了论述,对学会工作的管理与发展提出了五点建议.     

森林采伐限额与林业企业生产经营优化的探讨

简述了实施森林采伐限额制度的意义，以及实施限量采伐对林业企业经济的影响。利用投入产出与线性规划最优化模型对林业企业生产经营进行优化设计，提出了解决林业企业民限量采伐矛盾的方法和途径。     

影响反力式滚筒制动试验台检测精度的因素

针对目前国内大部分汽车检测站使用的反力式滚筒制动试验台的检测数据存在较大差异的问题。详细分析了各种相关因素对汽车制动检测性能的影响以及正确使用反力式滚筒制动试验台的方法。     

木香花挥发性组分的定量结构-色谱保留关系研究

采用分子电性距离矢量(MEDV)表征了木香花挥发性成分的分子结构,建立了色谱定量结构-保留关系(QSRR)模型,同时运用多元线性回归/逐步回归对模型进行变量筛选,建立了53种木香花挥发性成分气相色谱保留时间(tR)与MEDV的定量相关10 变量、 6变量模型及线性保留指数(ILR)的10、7、6变量模型.QSRR模型的建模计算值复相关系数(R)分别为0.949、0.906、0.906、0.949和0.943.留一法交互校验复相关系数(RCV)分别为0.867、0.904、0.905、0.901和0.904.结果表明所建模型具有良好估计能力与稳定性.     

农业院校Java课实践教学探讨

Jaya实践教学是Jaya程序设计能力的训练，它的内容包括三个阶段：基础语言实践，核心API应用实践，项目开发实践．按照实践教学内容建立实验平台：Java教学实验平台和Java应用软件开发平台。     

最佳线性无偏预测估计种畜育种值（BLUP）可视化计算机程序

应用VB6可视化编程软件，设计较先进的最佳线性无偏预测估计种畜育种值（BLUP法）程序，增强了软件的功能，使其更具易用性、广泛性。     

新型换流变压器谐波模型及其配套滤波装置设计

阐述了新型换流变压器及其滤波系统的接线方案和谐波抑制机理.建立了新型换流变压器谐波模型,分析计算了新型换流变压器各绕组的谐波电流分布,实验验证了该模型的正确性.对直流输电开发平台进行了滤波装置实例设计,仿真和实验结果基本一致.证明了新型换流变压器及其滤波系统原理正确,滤波效果好,平台参数选择合理,新系统具有良好的应用前景.     

Prediction of watermelon quality based on vibration spectrum

Judging watermelon quality based on its apparent properties such as size or skin color is difficult. A non-destructive method is employed here, based on vibrational response spectrum, to determine the quality indices of watermelon (Charleston gray). The responses of samples to vibration excitation were recorded by laser Doppler vibrometry (LDV). The phase shift between input and output signals were extracted over a wide frequency range. The total soluble solids (TSS), titratable acidity (TA) and TSS/TA ratio also measured as watermelon quality characters. Stepwise multiple linear regression (SMLR) as well as partial least square regression (PLS) was applied to extracted vibration spectrums to construct prediction models of watermelon quality. The results showed that performance of SMLR models were better than PLS. The determination coefficients (R²) of SMLR validation models were 0.9976, 0.9985 and 0.9542 for TSS, TA and TSS/TA respectively. It is likely that reduction of cell wall materials to soluble solids during ripening process changes viscoelastic properties of watermelon reflected by vibrational response. This study demonstrated the feasibility of mentioned method for predicting the quality of watermelons in an industrial grading system.     

微机网络并行计算环境Linux、并行计算平台MPI及其应用

介绍了并行计算研究的基本概况、微机网络并行计算环境－Ｌｉｎｕｘ操作系统及网络并行计算平台ＭＰＩ，并用实例说明微机网络并行计算环境和并行计算平台的建立和应用．