The new class of Kummer beta generalized distributions

Ng and Kotz (1995) introduced a distribution that provides greater flexibility to extremes. We define and study a new class of distributions called the Kummer beta generalized family to extend the normal, Weibull, gamma and Gumbel distributions, among several other well-known distributions. Some special models are discussed. The ordinary moments of any distribution in the new family can be expressed as linear functions of probability weighted moments of the baseline distribution. We examine the asymptotic distributions of the extreme values. We derive the density function of the order statistics, mean absolute deviations and entropies. We use maximum likelihood estimation to fit the distributions in the new class and illustrate its potentiality with an application to a real data set.

The McDonald inverted beta distribution

We introduce a five-parameter continuous model, called the McDonald inverted beta distribution, to extend the two-parameter inverted beta distribution and provide new four- and three-parameter sub-models. We give a mathematical treatment of the new distribution including expansions for the density function, moments, generating and quantile functions, mean deviations, entropy and reliability. The model parameters are estimated by maximum likelihood and the observed information matrix is derived. An application of the new model to real data shows that it can give consistently a better fit than other important lifetime models. (C) 2012 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Generalized beta-generated distributions

This article introduces generalized beta-generated (GBG) distributions. Sub-models include all classical beta-generated, Kumaraswamy-generated and exponentiated distributions. They are maximum entropy distributions under three intuitive conditions, which show that the classical beta generator skewness parameters only control tail entropy and an additional shape parameter is needed to add entropy to the centre of the parent distribution. This parameter controls skewness without necessarily differentiating tail weights. The GBG class also has tractable properties: we present various expansions for moments, generating function and quantiles. The model parameters are estimated by maximum likelihood and the usefulness of the new class is illustrated by means of some real data sets. (c) 2011 Elsevier B.V. All rights reserved.

The negative binomial-beta Weibull regression model to predict the cure of prostate cancer

In this article, for the first time, we propose the negative binomial-beta Weibull (BW) regression model for studying the recurrence of prostate cancer and to predict the cure fraction for patients with clinically localized prostate cancer treated by open radical prostatectomy. The cure model considers that a fraction of the survivors are cured of the disease. The survival function for the population of patients can be modeled by a cure parametric model using the BW distribution. We derive an explicit expansion for the moments of the recurrence time distribution for the uncured individuals. The proposed distribution can be used to model survival data when the hazard rate function is increasing, decreasing, unimodal and bathtub shaped. Another advantage is that the proposed model includes as special sub-models some of the well-known cure rate models discussed in the literature. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. We analyze a real data set for localized prostate cancer patients after open radical prostatectomy.

A log-linear regression model for the beta-Birnbaum-Saunders distribution with censored data

The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders, 1969a) distributions have been used quite effectively to model failure times for materials subject to fatigue and lifetime data. We define the log-beta-Birnbaum-Saunders distribution by the logarithm of the beta-Birnbaum-Saunders distribution. Explicit expressions for its generating function and moments are derived. We propose a new log-beta-Birnbaum-Saunders regression model that can be applied to censored data and be used more effectively in survival analysis. We obtain the maximum likelihood estimates of the model parameters for censored data and investigate influence diagnostics. The new location-scale regression model is modified for the possibility that long-term survivors may be presented in the data. Its usefulness is illustrated by means of two real data sets. (C) 2011 Elsevier B.V. All rights reserved.

First measurement of beta decay half-lives in neutron-rich Tl and Bi isotopes

Neutron-rich isotopes around lead, beyond N = 126, have been studied exploiting the fragmentation of an uranium primary beam at the FRS-RISING setup at GSI. For the first time beta-decay half-lives of Bi-219 and Tl-211,Tl-212,Tl-213 isotopes have been derived. The half-lives have been extracted using a numerical simulation developed for experiments in high-background conditions. Comparison with state of the art models used in r-process calculations is given, showing a systematic underestimation of the experimental values, at variance from close-lying nuclei. (c) 2012 Elsevier B.V. All rights reserved.

The Truncated Inflated Beta Distribution

The study of proportions is a common topic in many fields of study. The standard beta distribution or the inflated beta distribution may be a reasonable choice to fit a proportion in most situations. However, they do not fit well variables that do not assume values in the open interval (0, c), 0 < c < 1. For these variables, the authors introduce the truncated inflated beta distribution (TBEINF). This proposed distribution is a mixture of the beta distribution bounded in the open interval (c, 1) and the trinomial distribution. The authors present the moments of the distribution, its scoring vector, and Fisher information matrix, and discuss estimation of its parameters. The properties of the suggested estimators are studied using Monte Carlo simulation. In addition, the authors present an application of the TBEINF distribution for unemployment insurance data.

A general class of zero-or-one inflated beta regression models

This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes that the response variable has a mixed continuous-discrete distribution with probability mass at zero or one. The beta distribution is used to describe the continuous component of the model, since its density has a wide range of different shapes depending on the values of the two parameters that index the distribution. We use a suitable parameterization of the beta law in terms of its mean and a precision parameter. The parameters of the mixture distribution are modeled as functions of regression parameters. We provide inference, diagnostic, and model selection tools for this class of models. A practical application that employs real data is presented. (C) 2011 Elsevier B.V. All rights reserved.

Clinical judgment to estimate pretest probability in the diagnosis of Cushing's syndrome under a Bayesian perspective

OBJECTIVE: To estimate the pretest probability of Cushing's syndrome (CS) diagnosis by a Bayesian approach using intuitive clinical judgment. MATERIALS AND METHODS: Physicians were requested, in seven endocrinology meetings, to answer three questions: "Based on your personal expertise, after obtaining clinical history and physical examination, without using laboratorial tests, what is your probability of diagnosing Cushing's Syndrome?"; "For how long have you been practicing Endocrinology?"; and "Where do you work?". A Bayesian beta regression, using the WinBugs software was employed. RESULTS: We obtained 294 questionnaires. The mean pretest probability of CS diagnosis was 51.6% (95%CI: 48.7-54.3). The probability was directly related to experience in endocrinology, but not with the place of work. CONCLUSION: Pretest probability of CS diagnosis was estimated using a Bayesian methodology. Although pretest likelihood can be context-dependent, experience based on years of practice may help the practitioner to diagnosis CS. Arq Bras Endocrinol Metab. 2012;56(9):633-7

Messung von Q beta-Werten neutronenreicher Tc- bis Pd-Isotope im Massenbereich A=110 bis A=117

In der vorliegenden Arbeit wurden zwölf Q(beta)-Werte von beta-instabilen Pd, Ru, Rh und Tc-Isotopen gemessen. Der betrachtete Massenbereich A=110 bis A=117 liegt am Rande des bekannten Gebiets der Nuklidkarte und umfasst sehr neutronenreiche kurzlebige Isotope dieser Elemente, die sich durch geringe Spalthäufigkeit auszeichnen. Durch die geringen (Spalt-)Häufigkeiten dieser Nuklide liegen kaum Daten vor, teilweise auch nicht über die Niveauschemata. Es ist daher notwendig, eine protoneninduzierte Spaltungsreaktion zur Darstellung dieser Isotope zu verwenden und die Spaltprodukte innerhalb kürzester Zeit für die Messung nach Massen aufzutrennen, wie dies am IGISOL in Jyväskylä/Finnland geschieht. Die aufgebaute Apparatur zur beta,gamma,X-Koinzidenz erlaubt es, während ein und desselben Experiments neben der Messung der Q(beta)-Werte gleichzeitig gamma,X-Koinzidenzen auszuwerten, die die benötigten Grundinformationen für die Q(beta)-Bestimmung über die beta,gamma-Koinzidenzen liefern. Es können somit nicht nur Q(beta)-Werte von Nukliden mit bereits bekannten Niveauschemata ermittelt, sondern auch erfolgreich Nuklide mit unvollständigen Niveauschemata einer ersten Messung unterzogen werden. Umgekehrt können beta,gamma-Koinzidenzdaten weitere Informationen zum Aufbau neuer Niveauschemata liefern. Mit Hilfe der beschriebenen Koinzidenzmessung konnten zwölf Q(beta)-Werte von sehr neutronenreichen Pd- bis Tc-Isotopen gemessen und daraus die Kernmassen, Massenüberschüsse und Neutronen-Separationsenergien bestimmt werden. Von diesen wurden acht Werte erstmalig bestimmt, ein weiterer Wert konnte bestätigt sowie die Fehler von drei weiteren Werten um den Faktor Zehn verringert werden. Die gewonnenen Daten sind von Interesse für die Beurteilung von Kernmassenmodellen und gehen ebenso in Modellrechnungen der nuklearen Astrophysik ein.

Delayed diagnosis of HIV infection and late initiation of antiretroviral therapy in the Swiss HIV Cohort Study

OBJECTIVES: To investigate delayed HIV diagnosis and late initiation of antiretroviral therapy (ART) in the Swiss HIV Cohort Study. METHODS: Two sub-populations were included: 1915 patients with HIV diagnosis from 1998 to 2007 and within 3 months of cohort registration (group A), and 1730 treatment-naïve patients with CD4>or=200 cells/microL before their second cohort visit (group B). In group A, predictors for low initial CD4 cell counts were examined with a median regression. In group B, we studied predictors for CD4<200 cells/microL without ART despite cohort follow-up. RESULTS: Median initial CD4 cell count in group A was 331 cells/microL; 31% and 10% were <200 and <50 cells/microL, respectively. Risk factors for low CD4 count were age and non-White race. Homosexual transmission, intravenous drug use and living alone were protective. In group B, 30% initiated ART with CD4>or=200 cells/microL; 18% and 2% dropped to CD4 <200 and <50 cells/microL without ART, respectively. Sub-Saharan origin was associated with lower probability of CD4 <200 cells/microL without ART during follow-up. Median CD4 count at ART initiation was 207 and 253 cells/microL in groups A and B, respectively. CONCLUSIONS: CD4<200 cells/microL and, particularly, CD4<50 cells/microL before starting ART are predominantly caused by late presentation. Earlier HIV diagnosis is paramount.

Drug-specific in vitro release of IL-2, IL-5, IL-13 and IFN-gamma in patients with delayed-type drug hypersensitivity

BACKGROUND: The most prevalent drug hypersensitivity reactions are T-cell mediated. The only established in vitro test for detecting T-cell sensitization to drugs is the lymphocyte transformation test, which is of limited practicability. To find an alternative in vitro method to detect drug-sensitized T cells, we screened the in vitro secretion of 17 cytokines/chemokines by peripheral blood mononuclear cells (PBMC) of patients with well-documented drug allergies, in order to identify the most promising cytokines/chemokines for detection of T-cell sensitization to drugs. METHODS: Peripheral blood mononuclear cell of 10 patients, five allergic to beta-lactams and five to sulfanilamides, and of five healthy controls were incubated for 3 days with the drug antigen. Cytokine concentrations were measured in the supernatants using commercially available 17-plex bead-based immunoassay kits. RESULTS: Among the 17 cytokines/chemokines analysed, interleukin-2 (IL-2), IL-5, IL-13 and interferon-gamma (IFN-gamma) secretion in response to the drugs were significantly increased in patients when compared with healthy controls. No difference in cytokine secretion patterns between sulfonamide- and beta-lactam-reactive PBMC could be observed. The secretion of other cytokines/chemokines showed a high variability among patients. CONCLUSION: The measurement of IL-2, IL-5, IL-13 or IFN-gamma or a combination thereof might be a useful in vitro tool for detection of T-cell sensitization to drugs. Secretion of these cytokines seems independent of the type of drug antigen and the phenotype of the drug reaction. A study including a higher number of patients and controls will be needed to determine the exact sensitivity and specificity of this test.

BETASCAN: probable beta-amyloids identified by pairwise probabilistic analysis

Amyloids and prion proteins are clinically and biologically important beta-structures, whose supersecondary structures are difficult to determine by standard experimental or computational means. In addition, significant conformational heterogeneity is known or suspected to exist in many amyloid fibrils. Recent work has indicated the utility of pairwise probabilistic statistics in beta-structure prediction. We develop here a new strategy for beta-structure prediction, emphasizing the determination of beta-strands and pairs of beta-strands as fundamental units of beta-structure. Our program, BETASCAN, calculates likelihood scores for potential beta-strands and strand-pairs based on correlations observed in parallel beta-sheets. The program then determines the strands and pairs with the greatest local likelihood for all of the sequence's potential beta-structures. BETASCAN suggests multiple alternate folding patterns and assigns relative a priori probabilities based solely on amino acid sequence, probability tables, and pre-chosen parameters. The algorithm compares favorably with the results of previous algorithms (BETAPRO, PASTA, SALSA, TANGO, and Zyggregator) in beta-structure prediction and amyloid propensity prediction. Accurate prediction is demonstrated for experimentally determined amyloid beta-structures, for a set of known beta-aggregates, and for the parallel beta-strands of beta-helices, amyloid-like globular proteins. BETASCAN is able both to detect beta-strands with higher sensitivity and to detect the edges of beta-strands in a richly beta-like sequence. For two proteins (Abeta and Het-s), there exist multiple sets of experimental data implying contradictory structures; BETASCAN is able to detect each competing structure as a potential structure variant. The ability to correlate multiple alternate beta-structures to experiment opens the possibility of computational investigation of prion strains and structural heterogeneity of amyloid. BETASCAN is publicly accessible on the Web at http://betascan.csail.mit.edu.

Defective pituitary function and gamete interactions in $\beta$1,4-galactosyltransferase null mice

Despite much attention, the function of oligosaccharide chains of glycoproteins remains largely unknown. Our understanding of oligosaccharide function in vivo has been limited to the use of reagents and targeted mutations that eliminate entire oligosaccharide chains. However, most, if not all biological functions for oligosaccharides have been attributed to specific terminal sequences on these oligosaccharides, yet there have been few studies to examine the consequences of modifying terminal oligosaccharide structures in vivo. To address this issue, mice were created bearing a targeted mutation in $\beta$1,4-galactosyltransferase, an enzyme responsible for elaboration of many of the proposed biologically-active carbohydrate epitopes. Most galactosyltransferase-null mice died within the first few weeks after birth and were characterized by stunted growth, thin skin, sparse hair, and dehydration. In addition, the adrenal cortices were poorly stratified and spermatogenesis was delayed. The few surviving adults had puffy skin (myxedema), difficulty delivering pups at birth (dystocia), and failed to lactate (agalactosis). All of these defects are consistant with endocrine insufficiency, which was confirmed by markedly decreased levels of serum thyroxine. The anterior pituitary gland appeared functionally delayed in newborn mutant mice, since the constituent cells were quiescent and nonsecretory, unlike that of control littermates. However, the anterior pituitary acquired a normal secretory phenotype during neonatal development, although it remained abnormally small and its glycoprotein hormones were devoid of $\beta$1,4-galactosyl residues. These results support in vitro studies suggesting that incomplete glycosylation of pituitary hormones leads to the creation of hormone antagonists that down regulate subsequent endocrine function producing polyglandular endocrine insufficiency. More surprisingly, the fact that some mice survive this neonatal period indicates the presence of a previously unrecognized compensatory pathway for glycoprotein hormone glycosylation and/or action.^ In addition to its well-studied biosynthetic function in the Golgi complex, a GalTase isoform is also expressed on the sperm surface where it functions as a gamete receptor during fertilization by binding to its oligosaccharide ligand on the egg coat glycoprotein, ZP3. Aggregation of GalTase by multivalent ZP3 oligosaccharides activates a G-protein cascade leading to the acrosome reaction. Although GalTase-null males are fertile, the mutant sperm bind less ZP3 than wild-type sperm, and are unable to undergo the acrosome reaction in response to either zona pellucida glycoproteins or to anti-GalTase anti-serum, as do wild-type sperm. However, mutant and wild-type sperm undergo the acrosome reaction normally in response to calcium ionophore which bypasses the requirement for ZP3 binding. Interestingly, the phenotype of the GalTase-null sperm is reciprocal to that of sperm that overexpress surface GalTAse and which bind more ZP3 leading to precocious acrosome reactions. These results confirm that GalTase functions as at least one of the sperm receptors for ZP3, and that GalTase participates in the ZP3-induced signal transduction pathway during zona pellucida-induced acrosome reactions. ^

Study of Heavy-ion Induced Fission for Heavy Element Synthesis

Fission fragment mass distributions were measured in heavy-ion induced fission of 238U. The mass distributions changed drastically with incident energy. The results are explained by a change of the ratio between fusion and quasifission with nuclear orientation. A calculation based on a fluctuation dissipation model reproduced the mass distributions and their incident energy dependence. Fusion probability was determined in the analysis. Evaporation residue cross sections were calculated with a statistical model for the reactions of 30Si+238U and 34S+238U using the obtained fusion probability in the entrance channel. The results agree with the measured cross sections of 263,264Sg and 267,268Hs, produced by 30Si+238U and 34S+238U, respectively. It is also suggested that sub-barrier energies can be used for heavy element synthesis.