Abstract:
We developed a set of flexible open source computational tools in the R package flowCore to facilitate the analysis of these complex data. A key component of which is having suitable data structures that support the application of similar operations to a collection of samples or a clinical cohort. In addition, our software constitutes a shared and extensible research platform that enables collaboration between bioinformaticians, computer scientists, statisticians, biologists and clinicians. This platform will foster the development of novel analytic methods for flow cytometry.The software has been applied in the analysis of various data sets and its data structures have proven to be highly efficient in capturing and organizing the analytic work flow. Finally, a number of additional Bioconductor packages successfully build on the infrastructure provided by flowCore, open new avenues for flow data analysis.Automation technologies developed during the last several years have enabled the use of flow cytometry (FCM) to generate large, complex data sets in both basic and clinical research applications [1]. A serious bottleneck in the interpretation of existing studies and the application of high throughput FCM to even larger, more complex problems is that data management and data analysis methods have not advanced sufficiently far from the methods developed for applications of FCM to small-scale, tube-based studies [2]. In particular, the data often need to be organized into groups of samples based on combinations of additional covariates and similar operations need to be applied to these groups in a transparent and reproducible manner. Furthermore, the growing depth of knowledge in the field of immunology, for instance the characterization of distinct human T-cell sub-population [3], clearly argues for more systematic approaches.Some of the consequences of the lag of efficient software solutions are difficulties in maintaining the integrity and documentation of large dat

Abstract:
the objective of the present study is to estimate the economy growth rate in the context of full use of the productive resources. time series univariete models, including a deterministic tendency (with mean breaks), and a space-state model that considers a stochastic tendency and a cyclic component, estimated by kalman′s filter were used. the cyclic component is calculated with and without regime chages (markov-switching models), according to friedman′s idea -plucking model. the results indicate that the chilean economy potential growth rate would be greater than 4% annually, accompanied by economic asymmetric cycles.

Abstract:
Since the completion of the Human Genome Project (HGP) in 2003, scientists have been working towards making whole genome sequencing a useful clinical diagnostic tool. The aim of many of the big biotechnology companies is to make this technique affordable and accessible so that it can be routinely used to diagnose rare genetic disorders and tailor medical treatment to an individual’s genetic code – a practice called personalised medicine.

Abstract:
The field of myology has undergone remarkable changes. From the period of early clinical descriptions and clinical classifications, new knowledge of these disorders has come from the developments of histopathology, enzyme histochemistry and later, immunocytochemistry and electron microscopy. These techniques have enhanced the understanding of the pathophysiology of myopathies at the cellular level. The parallel evolution of molecular genetics has taken the science further not only by way of understanding and accuracy of diagnosis, but has opened up exciting possibilities of modulation of these chronic debilitating diseases. This review gives a personal perspective of the developments in the field of myology.

Abstract:
The effect of correlations between model parameters and nuisance parameters is discussed, in the context of fitting model parameters to data. Modifications to the usual $\chi^2$ method are required. Fake data studies, as used at present, will not be optimum. Problems will occur for applications of the Maltoni-Schwetz \cite{ms} theorem. Neutrino oscillations are used as examples, but the problems discussed here are general ones, which are often not addressed.

Abstract:
The problem of fitting an event distribution when the total expected number of events is not fixed, keeps appearing in experimental studies. In a chi-square fit, if overall normalization is one of the parameters parameters to be fit, the fitted curve may be seriously low with respect to the data points, sometimes below all of them. This problem and the solution for it are well known within the statistics community, but, apparently, not well known among some of the physics community. The purpose of this note is didactic, to explain the cause of the problem and the easy and elegant solution. The solution is to use maximum likelihood instead of chi-square. The essential difference between the two approaches is that maximum likelihood uses the normalization of each term in the chi-square assuming it is a normal distribution, 1/sqrt(2 pi sigma-square). In addition, the normalization is applied to the theoretical expectation not to the data. In the present note we illustrate what goes wrong and how maximum likelihood fixes the problem in a very simple toy example which illustrates the problem clearly and is the appropriate physics model for event histograms. We then note how a simple modification to the chi-square method gives a result identical to the maximum likelihood method.

Abstract:
When fitting theory to data in the presence of background uncertainties, the question of whether the spectral shape of the background happens to be similar to that of the theoretical model of physical interest has not generally been considered previously. These correlations in shape are considered in the present note and found to make important corrections to the calculations. The discussion is phrased in terms of $\chi^2$ fits, but the general considerations apply to any fits. Including these new correlations provides a more powerful test for confidence regions. Fake data studies, as used at present, may not be optimum.

Abstract:
For a given finite index subgroup H of SL(2,Z), we use a process developed by Fisher and Schmidt to lift a Poincar\'e section of the horocycle flow on SL(2,R)/SL(2,Z) found by Athreya and Cheung to the finite cover SL(2,R)/H of SL(2,R)/SL(2,Z). We then use the properties of this section to prove the existence of the limiting gap distribution of various subsets of Farey fractions. Additionally, to each of these subsets of fractions, we extend solutions by Xiong and Zaharescu, and independently Boca, to a Diophantine approximation problem of Erd\H{o}s, Sz\"usz, and Tur\'an.

Abstract:
Using techniques from infinite ergodic theory, Kessebohmer and Stratmann determined the asymptotic behavior of the Lebesgue measure of sets of the form $F^{-n}[\alpha,\beta]$, where $[\alpha,\beta]\subseteq(0,1]$ and $F$ is the Farey map. In this paper, we provide an effective version of this result, employing mostly basic properties of the transfer operator of the Farey map and an application of Freud's effective version of Karamata's Tauberian theorem.

Seeds are a
source of organic (carbon, C) and mineral (nitrogen, N and phosphorus, P)
nutrients for the growing seedling. There is much information on
seed mass and N and P contents, and the relationship between these and seedling
mass. Within the world’s temperate regions, these collectively show that N and
P concentrations remain constant or rise with increase in seed mass and that
seeds are larger and more nutrient-enriched in poorer soils. Seed N and P were
more important than seed C in accounting for seedling mass in 85% of studies we
assessed. In nutrient- and water-limited environments that are not
light-limited, large seeds routinely provision the seedling with N and P that
enhance C-fixation and thus general growth in the first wet season.
This system is so efficient that growth response to soil nutrients may be
negligible in first-year seedlings arising from seeds >15 mg mass, N
content >5 mg and P content >1.6 mg. The elongating
taproot system absorbs nutrients and maintains water uptake as soil water
retreats, enhancing the chances of survival in the first dry season. We outline
an interpretative scenario for the special role of large seeds (>15 mg) in nutrient-
and water-limited environments that recognizes the critical role of N and P for
photosynthesis in ensuring sufficient C-supply to the rapidly descending roots
for effective drought-avoidance by the young plant.