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Stochastic differential mixed-effects models

Stochastic differential equations have been shown useful in describing random continuous time processes. Biomedical experiments often imply repeated measurements on a series of experimental units and differences between units can be represented by incorporating random effects into the model. When both system noise and random effects are considered, stochastic differential mixed-effects models ensu

Phase I, Randomized, Double-Blind, Placebo-Controlled, Multiple Intravenous, Dose-Ascending Study of Sirukumab in Cutaneous or Systemic Lupus Erythematosus

ObjectiveWe undertook a 2-part, phase I, double-blind, placebo-controlled study to evaluate the safety and pharmacokinetics of multiple intravenous infusions of sirukumab, a human anti-interleukin-6 monoclonal antibody, in patients with cutaneous lupus erythematosus (CLE) or systemic lupus erythematosus (SLE). MethodsIn part A, patients with histologically confirmed CLE were randomized to 4 infusi

Association testing of variants in the hepatocyte nuclear factor 4 alpha gene with risk of type 2 diabetes in 7,883 people

Two recent publications reported association of common polymorphisms in the P2 promoter of hepatocyte nuclear factor 4alpha (HNF4alpha) (the MODY1 gene) with risk for type 2 diabetes. We attempted to reproduce this putative association by genotyping 11 single nucleotide polymorphism (SNPs) spanning the HNF4a coding region and the P2 promoter in >3,400 patients and control subjects from Sweden, Fin

MMP7 Expression in Colorectal Tumours of Different Stages

Background/Aim: Matrix metalloproteinases (MMPs) are involved in cancer biology. Expression of MMP7 (matrilysin) in colorectal cancer is associated with metastatic disease even though it is expressed in most tumour states. In the present study, our purpose was to analyze MMP7 in bowel and lymph nodes of different tumour stages and to evaluate its expression as a cancer biomarker. Patients and Meth

Synbiotics protected radiation-induced tissue damage in rectal cancer patients : A controlled trial

Background & aims: Colorectal cancer (CRC), particularly rectal cancer, often requires neoadjuvant radiotherapy (RT) as part of its treatment plan. Although effective, RT can cause significant gastrointestinal side effects. Because the onset of RT-induced tissue injury can be anticipated, there is an opportunity to apply preventive measures before the damage occurs. This study aimed to assess

Interplay between AHR genotypes, lifestyle factors and adjuvant breast cancer treatments significantly impacts clinical outcome in a population-based cohort

BackgroundThe purpose was to evaluate the prognostic impact of aryl hydrocarbon receptor (AHR) genotypes in relation to lifestyle and adjuvant treatments in breast cancer.MethodsAHR genotyping was performed on genomic DNA from 1701 patients included 2002–2016 in Lund, Sweden, and followed for up to 15 years. Eight AHR polymorphisms and eight haplotypes were analysed using survival and interaction

The mitochondrial external NADPH dehydrogenase modulates the leaf NADPH/NADP+ ratio in transgenic Nicotiana sylvestris

Plant mitochondria contain alternative external NAD(P)H dehydrogenases, which oxidise cytosolic NADH or NADPH and reduce ubiquinone without inherent linkage to proton pumping and ATP production. In potato, St-NDB1 is an external Ca2+-dependent NADPH dehydrogenase. The physiological function of this enzyme was investigated in homozygous Nicotiana sylvestris lines overexpressing St-ndb1 and co-suppr

Glucagon stimulates exocytosis in mouse and rat pancreatic {alpha} cells by binding to glucagon receptors.

Glucagon, secreted by the pancreatic alpha-cells, stimulates insulin secretion from neighboring beta-cells by cAMP- and protein kinase A (PKA)-dependent mechanisms, but it is not known whether glucagon also modulates its own secretion. We have addressed this issue by combining recordings of membrane capacitance (to monitor exocytosis) in individual alpha-cells with biochemical assays of glucagon s

Application of artificial neural network to the condition monitoring and diagnosis of a CHP plant

The objective of this study has been to create an online system for condition monitoring and diagnosis for a combined heat- and power plant in Sweden. This system consists of artificial neural network models, representing each main component of the combined heat- and power plant, accompanied with a graphical user interface. The artificial neural network models are integrated on a power generation

Policy Development in a Non-OECD Context Energy Efficiency Policy for Argentine Buildings

Energy efficiency has gained attention as an important means of ensuring energy supply, fostering countries’ competitiveness and cost-effectively mitigating CO2 emissions. Yet, evaluations of energy efficiency policies are often lacking or insufficient. Moreover, researchers have tended to overlook these types of policies in non-OECD countries, although at this very moment many of these countries

Molecular Imprinting Technology. Design and Recognition Properties of Antibody/Receptor Mimics

Molecular imprinting technology is derived from the concept of creating designed recognition sites in macromolecular matrices by means of template polymerisation. Molecularly imprinted polymers are able to mimic recognition in natural binding events, such as antibody-antigen and receptor-ligand interactions. This thesis addresses some aspects of the preparation of molecularly imprinted polymers an

The Singleton Fraction of Stars Formed in Stellar Clusters

Most stars form in some sort of stellar cluster or association. In such clusters the number density of stars can be very high. Thus, single stars in such clusters may undergo frequent close encounters with other stars and exchange encounters with binary systems. The perturbation caused by the other star in a close encounter or by the companion star in a binary can have significant effects on the e

Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns

We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and a

Predicting seminal quality with artificial intelligence methods

Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors, as well as life habits, may affect semen quality. Artificial intelligence techniques are now an emerging methodology as decision support systems in medicine. In this paper we compare three artificial intelligence techniques, decision trees, Multilayer Perceptron

Domains Selection for Patient-Reported Outcomes: Current Activities and Options for Future Methods

Introduction. Over the years, Outcome Measures in Rheumatology Clinical Trials (OMERACT) has worked toward consensus on core sets for outcome measurement in specific rheumatologic diseases. OMERACT core sets refer to the minimum number of domains and instruments essential to address the desired outcomes in trials. "Domains" are the attributes of an activity or function. This article discusses the

Myoclonus in childhood-onset neurogenetic disorders : The importance of early identification and treatment

Background In clinical practice, myoclonus in childhood-onset neurogenetic disorders frequently remains unrecognized, because it is often overshadowed by other neurological features. Since treatment can lead to significant functional improvement, accurate phenotyping is essential. To demonstrate the importance of early identification and treatment, we report on four patients with various childhood

An integrated transcriptomic- and proteomic-based approach to evaluate the human skin sensitization potential of glyphosate and its commercial agrochemical formulations

We investigated the skin sensitization hazard of glyphosate, the surfactant polyethylated tallow amine (POEA) and two commercial glyphosate-containing formulations using different omics-technologies based on a human dendritic cell (DC)-like cell line. First, the GARD™skin assay, investigating changes in the expression of 200 transcripts upon cell exposure to xenobiotics, was used for skin sensitiz