Assessing distributions of estimated drug shelf lives in stability analysis

A stability study is usually conducted to ensure that a drug product can meet the approved specifications prior to its expiration dating period (shelf life). Several approaches for determination of drug shelf life assuming random batches have been proposed. In this paper, we examine sampling distributions of the estimated shelf lives proposed by Shao and Chow (1994, Biometrics 50, 753-763). An application to some stability data from the pharmaceutical industry is presented.     

Exact Multiple Comparisons of Three or More Regression Lines: Pairwise Comparisons and Comparisons with a Control

The problem of finding exact simultaneous confidence bounds for differences in regression models for k groups via the union‐intersection method is considered. The error terms are taken to be iid normal random variables. Under an assumption slightly more general than having identical design matrices for each of the k groups, it is shown that an existing probability point for the multivariate studentized range can be used to find the necessary probability point for pairwise comparisons of regression models. The resulting methods can be used with simple or multiple regression. Under a weaker assumption on the k design matrices that allows more observations to be taken from the control group than from the k‐1 treatment groups, a method is developed for computing exact probability points for comparing the simple linear regression models of the k‐1 groups to that of the control. Within a class of designs, the optimal design for comparisons with a control takes the square root of (k‐1) times as many observations from the control than from each treatment group. The simultaneous confidence bounds for all pairwise differences and for comparisons with a control are much narrower than Spurrier's intervals for all contrasts of k regression lines.     

A conservative test for multiple comparison based on highly correlated test statistics

In genetics, we often encounter a large number of highly correlated test statistics. The most famous conservative bound for multiple comparison is Bonferroni's bound, which is suitable when the test statistics are independent but not when the test statistics are highly correlated. This article proposes a new conservative bound that is easily calculated without multiple integration and is a good approximation when the test statistics are highly correlated. The performance of the proposed method is evaluated by simulation and real data analysis.     

The calcium- and iron bound phosphate phase diagram

A phase diagram for Ca- and Fe-bound phosphate has been calculated based on two criteria:

Bound morphine and codeine in the capsule of Papaver somniferum

The polysaccharide fraction of the capsule of Papaver somniferum contained bound morphine and codeine. The alkaloids appear to be bound to the polymer by two different types of linkage.     

Constructing confidence intervals for selected parameters

In large-scale problems, it is common practice to select important parameters by a procedure such as the Benjamini and Hochberg procedure and construct confidence intervals (CIs) for further investigation while the false coverage-statement rate (FCR) for the CIs is controlled at a desired level. Although the well-known BY CIs control the FCR, they are uniformly inflated. In this paper, we propose two methods to construct shorter selective CIs. The first method produces shorter CIs by allowing a reduced number of selective CIs. The second method produces shorter CIs by allowing a prefixed proportion of CIs containing the values of uninteresting parameters. We theoretically prove that the proposed CIs are uniformly shorter than BY CIs and control the FCR asymptotically for independent data. Numerical results confirm our theoretical results and show that the proposed CIs still work for correlated data. We illustrate the advantage of the proposed procedures by analyzing the microarray data from a HIV study.     

Determination of the major zinc fractions in human serum by ultrafiltration

In this paper we report a method for measuring ultrafiltrable zinc in human serum by electrothermal atomic absorption spectrophtometry. We show also that ultrafiltration permits to determine alpha-2 macroglobulin bound zinc and losely bound zinc if a strong zinc ligand (EDTA) is added to serum before ultrafiltration. This last fraction, after deduction of ultrafiltrable zinc, represents roughly all albumin bound zinc. In 20 controls we found that ultrafiltrable zinc amounted 0.311 μmol/L (S.D.=0.117 μmol/L), alpha-2 macroglobulin bound zinc 3.08 μmol/L (S.D.=0.221 μmol/L), and albumin bound zinc 12.11 μmol/L (S.D.=1.95 μmol/L). Our method needs only a small volume of serum, it is simple and rapid but also very accurate and reliable. The losely bound fraction is very dynamic and, representing the physiologically active part of serum zinc, it could be a good marker of zinc deficiency.     

冬小麦种子萌发过程中的结合态玉米赤霉烯酮

冬小麦种子萌发过程中的结合态玉米赤霉烯酮陈新建（河南农业大学农学系,郑州１５０００２）孟繁静（北京农业大学生物学院,北京１０００９４）关键词结合态玉米赤霉烯酮,冬小麦玉米赤霉烯酮（ｚｅａｒａｌｅｎｏｎｅ）是玉米赤霉菌（Ｇ～ｔｈｅ－）的一种次生代谢产物...     

Categorical data analysis in experimental biology

The categorical data set is an important data class in experimental biology and contains data separable into several mutually exclusive categories. Unlike measurement of a continuous variable, categorical data cannot be analyzed with methods such as the Student's t-test. Thus, these data require a different method of analysis to aid in interpretation. In this article, we will review issues related to categorical data, such as how to plot them in a graph, how to integrate results from different experiments, how to calculate the error bar/region, and how to perform significance tests. In addition, we illustrate analysis of categorical data using experimental results from developmental biology and virology studies.     

玉米和小麦种子中束缚态玉米赤霉烯酮的分离与鉴定

玉米赤霉烯酮（zearalenone,ZEN）是玉米赤霉菌（o双湖咄h一）的一种代谢产物,它不仅具有动物雌性激素的作用,还是某些真菌的性激素（Stob等1962）。自80年代初李季伦等（1980）发现在植物体内有玉米赤霉烯酮的存在以来,越来越多的证据（孟繁静等1988）表明玉米赤霉烯酮是一种能活跃地参与植物体生长发育过程的类似植物激素的内源活性物质。已知植物激素在植物体内存在着自由态和束缚态两种形式,通过两者之间的相互转化,影响和控制着某些生理生化过程的进行（Cohen和Bandurski1982）。为了探索玉米赤霉烯酮在高等植物体内是否也如…     

Heterogeneity of Rat Brain Acetylcholinesterase: A Study by Gel Filtration and Gradient Centrifugation

Abstract: According to their solubilization properties, two classes of acetyl-cholinesterases (AChE) can be detected in the adult rat brain: a "soluble" species (easily solubilized without detergent), and a membrane-bound species (solubilized only in the presence of detergent). The latter was found to be homogeneous by gel filtration (Stokes radius 8.05 ± 0.35 nm) and sucrose gradient centrifugation (9.75 ± 0.2 S) in the presence of Triton X-100. The "soluble" AChE gives three stable species in the presence of the same detergent with Stokes radii and sedimentation constants of 10.9 ± 0.5 nm and 16 ± 2 S; 6.75 ± 0.30 nm and 10.7 ± 0.4 S; 5.37 ± 0.35 nm and 4.37 ± 0.1 S. Co-chromatography and co-sedimentation or the reduction and alkylation of disulfide bridges show that all the soluble species are different from the membrane-bound AChE. The possibility that soluble and membrane-bound AChE are completely different molecules is discussed.     

The Use of a Symbol Processing Computer Language in Point Estimation of Parameters and in Construction of Confidence Intervals

This paper presents a method to generate automatically computer programs which are necessary for parameter estimation, hypothesis tests and construction of confidence intervals by the maximum likelihood method. The spectral or density function of the random variable is arbitrary, but must be known and given in closed form. The programming language used is the symbol processing language LIBAFORM, whose statements are interpreted by a package of LISP-routines. The application of the method is illustrated by the analysis of a linear model whose residuals follow a logarithmic F-distribution, and the analysis of a dose-response curve.     

Diminished Confidence Levels in the Interval Estimation of an Unknown Regressor in Model I of Linear Regression

For the model y=β₀ + β₁ x + e (model I of linear regression) in the literature confidence estimators of an unknown position x₀ are given at which either the expectation of y is given (see FIELLER, 1944; FINNEY, 1952), or realizations of y are given (see GRAYBILL, 1961). These confidence regions with level 1—α need not be intervals. The occurrence of interval shape is a random event. Its probability is equal to the power of the t test for the examination of the hypothesis H: β₁ = 0. The papers mentioned above claim to provide confidence intervals with level 1 ? α. But because of the restriction of (1 —α)—confidence regions to intervals the true confidence probability is the conditional probability W_c: W_c = P (the confidence region covers x₀| the region has interval shape). Here this conditional probability is shown to be less than 1 —α. Evidence on the possible deviations from 1 —α has been obtained by simulations.     

A microcalorimetric study of collagen hydration in the temperature range 20–100°C by measuring the enthalpy of water evaporation from sample

A new definition of the term “biopolymer hydration,” based on thermodynamic characteristics of water evaporation from biological preparations, is proposed. A new method for investigation of bound water, based on precise measurement of the enthalpy of water evaporation from the sample, using differential scanning micro-calorimetry, is developed. Adequacy of the new approach for estimating the water state in biopolymers and at various levels of structural organization of biosystems is demonstrated by study of collagen fibers as an example.     

Functional characteristics of hexokinase bound to the type a and type B sites of bovine brain mitochondria.

Hexokinase is released from Type A sites of brain mitochondria in the presence of glucose 6-phosphate (Glc-6-P); enzyme bound to Type B sites remains bound. Hexokinase of freshly isolated bovine brain mitochondria (Type A:Type B, approximately 40:60) selectively uses intramitochondrial ATP as substrate and is relatively insensitive to the competitive (vs ATP) inhibitor and Glc-6-P analog, 1,5-anhydroglucitol 6-phosphate (1,5-AnG-6-P). After removal of hexokinase bound at Type A sites, the remaining enzyme, bound at Type B sites, does not show selectivity for intramitochondrial ATP and has increased sensitivity to 1,5-AnG-6-P. Thus, the properties of the enzyme bound at Type B sites are modified by removal of hexokinase bound at Type A sites. It is suggested that mechanisms for regulation of mitochondrial hexokinase activity, and thereby cerebral glycolytic metabolism, may depend on the ratio of Type A:Type B sites, which varies in different species.     

Methods to evaluate populations for alleles to improve an elite hybrid

Elite hybrids can be improved by the introgression of favorable alleles not already present in the hybrid. Our first objective was to evaluate several estimators derived from quantitative genetic theory that attempt to quantify the relative number of useful alleles in potential donor populations. Secondly, we wanted to evaluate two proposed ways of determining relatedness of donor populations to the parents of the elite hybrid. Two experiments, each consisting of 21 maize populations of known pedigree, were grown at three and four environments in Minnesota in 1991. Yield and plant height means were used to provide estimates of each of the following statistics: (1) LPLU, a minimally biased statistic, (2) UBND, the minimum estimate of an upper bound, (3) NI, the net improvement, (4) PTC, the predicted three-way cross, and (5) TCSC, the testcross of the populations. These statistics are biased estimators of the relative number of unique favorable alleles contained within a population compared to a reference elite hybrid. Based on rank correlations, all statistics except NI ranked populations similarly. The percent novel germplasm relative to the single cross to be improved was positively correlated with the estimates of favorable alleles except when NI was used as the estimator. The relationship estimators agreed with the genetic constitution of the donor populations. Strong positive correlations existed between diversity, based on the relationship rankings, and all the estimator rankings, except NI. Potential donor populations were effectively identified by LPLU, UBND, PTC, and TCSC. NI was not a good estimator of unique favorable alleles.     

腐殖酸对矿物结合汞环境迁移性的影响及其机制研究

腐殖酸对矿物结合汞环境迁移活性 (挥发性 ,植物迁移活性及水迁移活性 )兼具抑制与活化的双重效应。富里酸对铁锰氧化物结合汞无论是挥发活性还是植物迁移活性及水迁移活性均表现极显著的促进效应 ,而酸性淋溶将加速富里酸对硅酸盐粘土矿物结合汞的环境迁移的活化进程 ;灰色胡敏酸对矿物结合汞的活化效应较弱 ,并更易于对矿物汞环境活性表现抑制作用。棕色胡敏酸性质与影响介于富里酸与灰色胡敏酸之间。腐殖酸作用下 ,矿物结合汞的环境迁移形态发生了改变 :元素态汞、游离的有机结合态汞和溶解态无机汞依次成为其发生大气环境迁移、土壤垂直水迁移和植物迁移最有效的形态。