Metallothioneins (MTs) are a family of stress-induced proteins with diverse physiological functions, including protection against metal toxicity and oxidants. They may also contribute to the regulation of cellular proliferation, apoptosis, and malignant progression. We reported previously that the human (h)MT-IIA isoform is induced in carcinoma cells (A431, SiHa, and HT29) exposed to low oxygen...

Purpose: Effort Estimation is a process by which one can predict the development time and cost to develop software or product. Many approaches have been tried this probabilistic accurately, but no single technique has consistently successful. There many studies on effort estimation using Fuzzy Machine Learning. For reason, study aims combine Learning get better results.Methods: Various methods ...

Detection and discrimination of neurodegenerative Parkinson syndromes are challenging clinical tasks and the use of standard T1- and T2-weighted cerebral magnetic resonance (MR) imaging is limited to exclude symptomatic Parkinsonism. We used a quantitative structural MR-based technique, MR-elastography (MRE), to assess viscoelastic properties of the brain, providing insights into altered tissue...

ne of the greatest challenges for software developers is forecasting the development effort for a software system for the last decades. The capability to provide a good estimation on software development efforts is necessitated by the project managers. Software effort estimation models divided into two main categories: algorithmic and non-algorithmic. Developers should be able to achieve practi...

Studying the quality requirements (aka Non-Functional Requirements (NFR)) of a system is crucial in Requirements Engineering. Many software projects fail because of neglecting or failing to incorporate the NFR during the software life development cycle. This paper focuses on analyzing the importance of the quality requirements attributes in software effort estimation models based on the Desharn...

CONTEXT: Software estimation is a vital yet challenging project management activity. Various methods, from empirical to algorithmic, have been developed fit different development contexts, plan-driven agile. Recently, machine learning techniques shown potential in this realm but are still underexplored, especially for individual task estimation. OBJECTIVES: We investigate the use of predicting ...

Accurate estimation of software development effort is a very difficult job.Both under estimation as well as over estimation can lead to serious consequences. So its very important to find a technique which can yield accurate results for software effort estimation. Here in our paper we have evaluated various machine learning techniques for software effort estimation like bagging, decision trees,...

Ziel: Entwicklung und Demonstration einer neuen dreidimensionalen Mehrfrequenz-Magnetresonanzelastografie-Mehode (3-D-MMRE) zur hochauflösenden mechanischen in vivo Bildgebung der Leber und Milz. Material und Methoden: Zehn gesunde Freiwillige wurden mittels abdominaler single-shot 3-DMMRE unter Anwendung eines neuartigen Patienten-aktivierten Atemtrigger-Systems untersucht. Zeitaufgelöste Well...

The papcr aims to providc the software eqtimation research community with a better understanding of the meaning of, and relationship between, two statistics that are often used to assess the accuracy of predictive models: the mean magnitude rclative error, MMRE, and the nuniber of predictioiis within 25% of the actuals, pred(25). It is demonstrated that MMRE and pred(25) are, respectively, meaw...

The purpose of this study was to create a polymer phantom mimicking the mechanical properties of soft tissues using experimental tests and rheological models. Multifrequency Magnetic Resonance Elastography (MMRE) tests were performed on the present phantom with a pneumatic driver to characterize the viscoelastic (μ, η) properties using Voigt, Maxwell, Zener and Springpot models. To optimize the...