Introduction. Normalization is an optional step in LCIA that is used to better understand the relative importance and magnitude of the impact category indicator results. It is used for error checking, as a first step in weighting, and for standalone presentation of results. A normalized score for a certain impact category is obtained by determining the ratio of the category indicator result of ...

BACKGROUND & AIMS Mucosal healing, determined by histologic analysis, is a potential therapeutic target for patients with ulcerative colitis (UC). However, the histologic features of tissue normalization, as an outcome of treatment, have not been well described. We examined the prevalence and predictive values of normalization of the colonic mucosa, based on histologic analysis (histologic norm...

Normalization as a layer within neural networks has over the years demonstrated its effectiveness in network optimization across wide range of different tasks, with one most successful approaches being that batch normalization. The consensus is better estimates BatchNorm normalization statistics (μ and σ2) each mini-batch result optimization. In this work, we challenge belief experiment new var...

Docking experiments of multiple compounds typically focus on a single protein. However, other targets provide information about relative binding efficiencies that is otherwise lacking. We developed a docking strategy that normalized results in both the ligand and target dimensions. This was applied to dock 287 approved small drugs with 35 peptide-binding proteins, including 15 true positives. T...

In this contribution a function-based approach to on-line signature verification is presented. An initial set of 8 time sequences is used; then first and second time derivates of each function are computed over these, so 24 time sequences are simultaneously considered. A valuable function normalization is applied as a previous stage to a continuous-density HMM-based complete signal modeling sch...

We present a new approach for pathogens and gene product normalization in the biomedical literature. The idea of this approach was motivated by needs such as literature curation, in particular applied to the field of infectious diseases thus, variants of bacterial species (S. aureus, Staphyloccocus aureus, ...) and their gene products (protein ArsC, Arsenical pump modifier, Arsenate reductase, ...

Worldwide, environmental regulatory establishments are setting strict standards for discharge of wastewaters from industries. Anaerobic digestion is an environment friendly technology to treat industrial wastewaters. Anaerobic digestion is a series of processes in which microorganisms break down biodegradable material in the absence of oxygen. For the treatment, cheese-dairy wastewater is taken...