Search results for "programming"
showing 10 items of 3090 documents
Register Variation Across English Pharmaceutical Texts: A Corpus-driven Study of Keywords, Lexical Bundles and Phrase Frames in Patient Information L…
2013
Abstract This study constitutes an initial step towards filling a gap in corpus linguistics studies of linguistic and phraseological variation across English pharmaceutical texts, in particular in terms of recurrent linguistic patterns. The study conducted from a register- perspective ( Biber & Conrad, 2009 ), which employs both quantitative and qualitative research procedures, aims to provide a corpus-driven description of vocabulary and phraseology, namely key words, lexical bundles, and phrase frames, used in patient information leaflets and summaries of product characteristics (represented by 463 and 146 texts, respectively) written originally in English and collected in two domain-spec…
Fitting linear models and generalized linear models with large data sets in R
2009
We present an estimating algorithm to fit linear and generalized linear models not involving the QR decomposition. Some new R functions are presented and discussed. For large data sets, comparisons with respect to the well-known lm() and glm(), as well as to biglm() and bigglm() from the package biglm, show that the proposed functions speed up computation while preserving numerical stability and accuracy
Regularization operators for natural images based on nonlinear perception models.
2006
Image restoration requires some a priori knowledge of the solution. Some of the conventional regularization techniques are based on the estimation of the power spectrum density. Simple statistical models for spectral estimation just take into account second-order relations between the pixels of the image. However, natural images exhibit additional features, such as particular relationships between local Fourier or wavelet transform coefficients. Biological visual systems have evolved to capture these relations. We propose the use of this biological behavior to build regularization operators as an alternative to simple statistical models. The results suggest that if the penalty operator take…
Epigenetic regulation of stemness maintenance in the neurogenic niches
2015
In the adult mouse brain, the subventricular zone lining the lateral ventricles and the subgranular zone in the dentate gyrus of the hippocampus are two zones that contain neural stem cells (NSCs) with the capacity to give rise to neurons and glia during the entire life of the animal. Spatial and temporal regulation of gene expression in the NSCs population is established and maintained by the coordinated interaction between transcription factors and epigenetic regulators which control stem cell fate. Epigenetic mechanisms are heritable alterations in genome function that do not involve changes in DNA sequence itself but that modulate gene expression, acting as mediators between the environ…
Multiplex RT-PCR Expression Analysis of Developmentally Important Genes in Individual Mouse Preimplantation Embryos and Blastomeres1
2009
We have developed a microfluidic chip-based qualitative assay for sensitive (10 RNA copies) detection of multiple transcripts in single cells. We determined the expression patterns of 17 developmentally important genes and isoforms in individual mouse preimplantation embryos from superovulated matings and blastomeres. The ubiquitously expressed histone variant H3f3a and the transcription factor Pou5f1 generated mRNA-derived products in all analyzed (1-cell, 2-cell, 4-cell, and morula stage) embryos and in all analyzed blastomeres from 16-cell embryos, indicating a uniform reactivation of pluripotency gene expression during mouse preimplantation development. In contrast, mRNA expression of d…
Role of non-coding RNAs as biomarkers of deleterious cardiovascular effects in sepsis.
2021
The mechanisms occurring during sepsis that produce an increased risk of cardiovascular (CV) disease (CVD) are poorly understood. Even less information exists regarding CV dysfunction as a complication of sepsis, particularly for sepsis-induced cardiomyopathy. However, recent research has demonstrated that non-coding RNAs, including microRNAs, long non-coding RNAs, and circular RNAs, play a crucial role in genetic reprogramming, gene regulation, and inflammation during the development of CVD. Here we describe experimental findings showing the importance of non-coding RNAs mediating relevant mechanisms underlying CV dysfunction after sepsis, so contributing to sepsis-induced cardiomyopathy. …
Evaluating the feasibility of the Italian version of the computerized interactive remediation of cognition training for schizophrenia (circuits)
2020
Background: Circuits is a computerized cognitive remediation program for individuals with schizophrenia. this study aimed to evaluate the feasibility of the italian version of circuits. MethODs: Feasibility was measured through ad-hoc questionnaires in a non-clinical sample (N.=30; target-score 70%; study 1); in patients with schizophrenia (N.=5; target-score 60%; study 2) and cr therapists (N.=3; target-score 60%; study 2). study 3 was a pilot study investigating: 1) enrolment, compliance, and retention rates; 2) satisfaction; 3) potential post-treatment and follow-up improvements in patients with schizophrenia (N.=20). these results were used to estimate sample size and feasibility for a …
Pricing Reinsurance Contracts
2011
Pricing and hedging insurance contracts is hard to perform if we subscribe to the hypotheses of the celebrated Black and Scholes model. Incomplete market models allow for the relaxation of hypotheses that are unrealistic for insurance and reinsurance contracts. One such assumption is the tradeability of the underlying asset. To overcome this drawback, we propose in this chapter a stochastic programming model leading to a superhedging portfolio whose final value is at least equal to the insurance final liability. A simple model extension, furthermore, is shown to be sufficient to determine an optimal reinsurance protection for the insurer: we propose a conditional value at risk (VaR) model p…
Anatomy of Trading Rules
2017
This key chapter presents a methodology for examining how the trading signal in a moving average rule is computed. Then using this methodology the chapter examines the computation of trading signals in all moving average rules and investigates the commonalities and differences between the rules. The main conclusion that can be drawn from this study is that the computation of the trading indicator in every rule, based on either one or multiple moving averages, can equivalently be interpreted as the computation of a single weighted moving average of price changes. The analysis presented in this chapter uncovers the anatomy of moving average trading rules, provides very useful insights about p…
The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with …
2021
Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones’ steering capacity and cognitive gap related to the lack of theoretical foundation for controlling algorithms. The aim of this paper is to present a game-based algorithm of controlling behaviours in the relation between an operator (OP) and a technical object (TO), based on the assumption that the game is logistics-oriented and the algorithm is to support ML applied in e-commerce optimization management. Algebraic methods, including matrices, Lagrange functions, systems of differential e…