The article presents an outline of the requirements concerning the planning of preclinical and clinical studies, necessary for the legal approval of a medicinal product. It describes the clinical research plan of innovative and generic pharmaceutical products, taking into account the specific situations in which the assessment of biological equivalence of a generic product is not possible based...

We argue that in the high energy QCD a true black disk wave function consists not only of many gluons but also from many quarks. This corresponds to necessity of nonvacuum reggeon loops in formation of a black disk. The result comes from decomposition of the black disk S-matrix in characters on group manifold. Usually black disk defined as some dense state, which absorbs any projectile. In this...

Asthma is characterized by an oxidantantioxidant imbalance in the lungs leading to activation of redox-sensitive transcription factors, nuclear factor kappaB (NF-kappaB), and activator protein-1 (AP-1). To develop therapeutic strategies for asthma, we used a chemogenomics approach to screen for small molecule inhibitor(s) of AP-1 transcription. We developed a beta-strand mimetic template that a...

We study the properties of a future singularity encountered by a perfect fluid observer in tilting spatially homogeneous Bianchi cos-mologies. We derive the boost formulae for the Weyl tensor to establish that, for two observers that are asymptotically null with respect to each other, their respective Weyl parameters generally both tend to zero, constant, or infinity together. We examine three ...

This paper presents a Petri net (PN) analysis technique which extend the analysis capabilities of T-invariants. This technique is based on the conversion of the PN into formulas of linear logic and on the introduction of the marking into P-invariants. It allows to test if T-invariants are pertinent related to the application's constraints of marking. Our technique determines for each valid sequ...

Many statistical problems involve the learning of an importance/effect of a variable for predicting an outcome of interest based on observing a sample of n independent and identically distributed observations on a list of input variables and an outcome. For example, though prediction/machine learning is, in principle, concerned with learning the optimal unknown mapping from input variables to a...

We present an integrated design and marketing approach to facilitate the generation of an optimal robust set of product design alternatives to carry forward to the prototyping stage. The approach considers variability in both (i) engineering design domain, and (ii) customer preferences in marketing domain. In the design domain, the approach evaluates performance and robustness of a design alter...

One of the key challenges in robotic bipedal locomotion is finding gait parameters that optimize a desired performance metric, such as robustness or energy efficiency. Typically, gait optimization requires extensive robot experiments and specific expert knowledge. Instead, we propose to apply data-driven machine learning to automate and speed up the process of gait optimization. In particular, ...

© Appl. Rheol. 20 (2010) 63293 DOI: 10.3933/ApplRheol-20-63293 Abstract: Bitumen is undoubtedly the most important material in the construction and rehabilitation of flexible road pavements. By increasing the temperature, bitumen changes from brittle solid, to viscoelastic solid and finally to Newtonian fluid. The rheological characteristics of bitumen also vary greatly due to aging, which is a...