Title Process analytical technology (PAT) needs and applications in the bioprocess industry Review Abstract Process analytical technologies have been applied to manufacturing processes (pulp and paper, chemical and petroleum) for decades. Recently, the US Food and Drug Administration (FDA) has, however, redefined the phrase and implemented it into an initiative focusing on improving several asp...

In many complex decision-making problems, the decision information provided by the decision makers is often imprecise or uncertain due to time limit, lack of data, or the decision makers’ limited attention and information processing capabilities. Decision-making in a fuzzy environment means a decision process in which the goals and/or the constraints, but not necessarily the system under contro...

Hierarchic document clustering has been applied to search results (query-specific clustering ) on the grounds of its potential improved effectiveness compared both to that of static clustering and of conventional inverted file search (IFS). In this paper we review and compare the effects of seven different measures of similarity among documents in hierarchic query specific clustering. We have c...

INTRODUCTION The analytical stability lobe diagram offers a predictive capability for selecting stable chip width-spindle speed combinations in machining operations [1-4]. However, the increase in allowable chip width provided at spindle speeds near integer fractions of the system’s dominant natural frequency is diminished substantially at low spindle speeds where the stability lobes are closel...

Process analytical technology (PAT), the regulatory initiative for building in quality to pharmaceutical manufacturing, has a great potential for improving biopharmaceutical production.The recommended analytical tools for building in quality, multivariate data analysis, mechanistic modeling, novel models for interpretation of systems biology data and new sensor technologies for cellular states,...

A general software system for construction, editing and optimization of dynamic programming models ranging from traditional models and hierarchic Markov processes to multi-level hierarchic processes is presented. The software has a dual purpose. Firstly it is supposed to fulfill the need of the apprentice for demonstration of methods and concepts and secondly it is to some extend expected to co...

We propose two algorithms that decompose the joint likelihood of observing multidimensional neural input data into marginal likelihoods. The first algorithm, boosted mixtures of hidden Markov chains (BMs-HMM), applies techniques from boosting to create implicit hierarchic dependencies between these marginal subspaces. The second algorithm, linked mixtures of hidden Markov chains (LMs-HMM), uses...

The success of superposition-based theorem proving in first-order logic relies in particular on the fact that the superposition calculus is able to decide well-known classical decidable fragments of first-order logic and has been successful in identifying new decidable classes. In this paper, we extend this story to the hierarchic combination of linear arithmetic and first-order superposition. ...

We have discussed some tools from nonlinear dynamics which may help to analyze transient phenomena, such as solar bursts. The structure function known from turbulence theory is an appropriate method to nd out some scaling behavior of uctuations in time. More generally, the wavelet analysis, which is some generalization of the power spectrum, exhibits information on the location as well as the s...