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Accurate normalization is an absolute prerequisite for correct measurement of gene expression. For quantitative real-time reverse transcription-PCR (RT-PCR), the most commonly used normalization strategy involves standar...

The main purpose of this paper is to find the most effective method for the normalization of a final set of diagnostic variables for indirect consumption research with the use of synthetic consumption measures. The chose...

Abstract Background Evidence regarding optimal treatment duration in dogs with aspiration pneumonia (AP) and the role of thoracic radiographs (TXR) and lung ultrasonography (LUS) in the long‐term follow‐up of affecte...

Scattering-type scanning near-field optical microscopy (s-SNOM) and Fourier transform infrared nanospectroscopy (nano-FTIR) are emerging tools for physical and chemical nanocharacterization of organic and inorganic compo...

In the face of the global financial crisis, central banks have used unconventional monetary policy instruments. Firstly, they implemented the interest rate policy, lowering base interest rates to a very low (almost zero)...

Vehicle Re-identification (Re-ID) has become extremely important due to the increasing number of vehicles on the road and its potential to address traffic-related challenges. As a result, there is also a growing need for...

MOTIVATION: When running experiments that involve multiple high density oligonucleotide arrays, it is important to remove sources of variation between arrays of non-biological origin. Normalization is a process for reduc...

The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA. In order to discover biologically important changes ...

Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We devel...

BACKGROUND: Gene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling...

In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip system with the objective of improving upon currently used measures of gene expression. Our analyses ma...

This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then ...

Objetivos - Obtener la información del procedimiento de soldeo por arco bajo gas protector con electrodo consumible, para seleccionar los materiales, los equipos o las herramientas, entre otros, interpretando las especi...

In the face of socioeconomic challenges, this paper develops and empirically demonstrates the Gondauri Index (GI) as a reproducible, diagnostics-first composite framework for benchmarking macro-financial resilience acros...

ABSTRACT The objective of the present study was to evaluate the stability of candidate reference genes and select the genes that can be used for normalizing real-time polymerase chain reaction (PCR) in the liver, skeleta...

Abdulsalam Ahmed Mohamed,1,2 Abdullahi Abdirahman Omar,1 Fartun Abdullahi Hassan Orey2,3 1Department of Ophthalmology, Dr. Sumait Hospital, SIMAD University, Mogadishu, Somalia; 2Department of Medicine and Surgery, Facul...

Reliable beat-level arrhythmia detection from electrocardiogram (ECG) signals is essential for continuous patient monitoring. However, many existing deep learning models remain computationally expensive and are sensitive...

Airborne LiDAR enables direct measurement of canopy height and three-dimensional forest structure, but many LiDAR-based studies remain difficult to reproduce due to ad hoc processing decisions and limited pipeline transp...

Abstract The Error Diffusion Learning Algorithm (EDLA) is a learning scheme that performs synaptically local weight updates driven by a single, globally defined error signal. Although originally proposed as an alternativ...

Abstract The relationship between the built environment and human emotional experience has received increasing attention in architectural and urban research. This study aims to collect fundamental background data from a ...