optimization of process
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Basic research in cardiology ; Supplement Vol. 88. 2
XVI, 160 s. : tab., grafy ; 24 cm
- MeSH
- kardiovaskulární fyziologické jevy MeSH
- myokard MeSH
- srdce fyziologie MeSH
- Publikační typ
- kongresy MeSH
- sborníky MeSH
- Konspekt
- Lékařské vědy. Lékařství
- NLK Obory
- fyziologie
- etika, bioetika, lékařská etika
- kardiologie
- angiologie
Multienzyme processes represent an important area of biocatalysis. Their efficiency can be enhanced by optimization of the stoichiometry of the biocatalysts. Here we present a workflow for maximizing the efficiency of a three-enzyme system catalyzing a five-step chemical conversion. Kinetic models of pathways with wild-type or engineered enzymes were built, and the enzyme stoichiometry of each pathway was optimized. Mathematical modeling and one-pot multienzyme experiments provided detailed insights into pathway dynamics, enabled the selection of a suitable engineered enzyme, and afforded high efficiency while minimizing biocatalyst loadings. Optimizing the stoichiometry in a pathway with an engineered enzyme reduced the total biocatalyst load by an impressive 56 %. Our new workflow represents a broadly applicable strategy for optimizing multienzyme processes.
A brief report on the development of novel apparatus is presented. It was verified in a commercial scale that a new concept of anaerobic fermentation followed by continuous pyrolysis is technically and economically feasible to manage previously enzymatically hydrolyzed waste haylage in huge volumes. The design of the concept is thoroughly described, documented in figures, and biochemically analyzed in detail. Assessment of the concept shows that subsequent pyrolysis of the anaerobically fermented residue allows among biogas to produce also high-quality biochar. This significantly improves the overall economy. In addition, it may be assumed that this applied research is consistent with previous theoretical assumptions stating that any kind of aerobic or anaerobic fermentation increases the microporosity of the biochar obtained.
Continuous tablet manufacturing is a competitive option to replace the traditional batch manufacturing approach. The aim of this study was to evaluate technology transfer from batch-based direct compression of a commercial tablet formulation to continuous direct compression without changes to the composition of the formulation. Some powder studies were conducted with the raw materials and multi-tip punches were utilized in the tableting studies. To lower the high level of tablet weight variability that was evident during preliminary tests, a process parameter optimization was performed using an experimental design with different rpm values of force feeder and mixer impeller. By selecting the most appropriate settings of these parameters for the studied product, the weights of the tablets could be controlled adequately to meet the specification criteria. The functionality of the best-performing parameter settings was investigated with a three-hour-long tableting run. The tablets were evaluated with the same quality criteria as the commercial batch-produced tablets, and they passed all the tests performed in this study. Despite the challenging material properties according to the flowability tests, production of tablets with the desired quality was achieved using the original composition with continuous direct compression.
- MeSH
- bisoprolol * MeSH
- farmaceutická technologie * MeSH
- prášky, zásypy, pudry MeSH
- příprava léků MeSH
- tablety MeSH
- tlak MeSH
- Publikační typ
- časopisecké články MeSH
A fuzzy model has been developed for the optimization of high-shear wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves a set of rules obtained from expert knowledge and full-scale process data. The skewness coefficient of particle size distribution and the tapped density of the granulated mixture were chosen as the model input variables. The output of the fuzzy ruled system is the optimal quantity of wetting liquid. In comparison to manufacturing practice, a very strong sensitivity of the optimal quantity of the added wetting liquid to the size and shape of the active substance particles has been identified by fuzzy modeling.
Objective.The current practices of designing neural networks rely heavily on subjective judgment and heuristic steps, often dictated by the level of expertise possessed by architecture designers. To alleviate these challenges and streamline the design process, we propose an automatic method, a novel approach to enhance the optimization of neural network architectures for processing intracranial electroencephalogram (iEEG) data.Approach.We present a genetic algorithm, which optimizes neural network architecture and signal pre-processing parameters for iEEG classification.Main results.Our method improved the macroF1 score of the state-of-the-art model in two independent datasets, from St. Anne's University Hospital (Brno, Czech Republic) and Mayo Clinic (Rochester, MN, USA), from 0.9076 to 0.9673 and from 0.9222 to 0.9400 respectively.Significance.By incorporating principles of evolutionary optimization, our approach reduces the reliance on human intuition and empirical guesswork in architecture design, thus promoting more efficient and effective neural network models. The proposed method achieved significantly improved results when compared to the state-of-the-art benchmark model (McNemar's test,p≪ 0.01). The results indicate that neural network architectures designed through machine-based optimization outperform those crafted using the subjective heuristic approach of a human expert. Furthermore, we show that well-designed data preprocessing significantly affects the models' performance.
- MeSH
- elektroencefalografie metody MeSH
- elektrokortikografie * MeSH
- lidé MeSH
- neuronové sítě * MeSH
- počítačové zpracování signálu MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Cieľom štúdie je analyzovať a prezentovať integrovaný obraz o faktoroch, ktoré podmieňujú a ovplyvňujú finančné voľby jednotlivcov v súčasnosti. Autorka najskôr charakterizuje súčasné spoločenské prostredie, v ktorom obyčajní ľudia uskutočňujú svoje finančné rozhodnutia. Potom sa venuje limitovaným kapacitám osoby zvládať finančné rozhodnutia. Nakoniec uvádza problematiku finančných úloh, ktorým jednotlivci musia v súčasnosti čeliť. Dôraz pritom kladie na možnosti dizajnovania úloh finančného rozhodovania tak, aby viac zodpovedali kognitívnym a osobnostným kapacitám jednotlivcov a optimalizovali ich rozhodnutia. Na záver autorka konštatuje, že súčasná ekonomická veda pociťuje potrebu psychologického vhľadu do ekonomického diania. Potreba vypracovať ucelenú psychologickú teóriu ekonomického správania (vrátane finančného rozhodovania jednotlivcov) sa stáva vysoko aktuálnou.
The goal of the study is to analyze and present the integrated picture of factors conditioning and influencing the financial choices of individuals in the present. At first, the author characterizes the present social milieu, in which the common people realize their financial decisions. Thereafter, she deals with the limited capacities of an individual to manage financial decisions. In the end, she presents the problems of financial tasks, which the individuals have to face today. The emphasis is given on the possibilities of designing the financial decision making tasks in the way more corresponding to cognitive and personality capacities of individuals and optimizing their decisions. In the conclusion, the author states that the contemporary economic science experiences the need of psychological insight into the economic affairs. The need of elaboration the comprehensive psychological theory of economic behavior (including individual financial decision making) becomes the front burner.
- MeSH
- důchod ekonomika MeSH
- ego MeSH
- ekonomika * MeSH
- inteligence MeSH
- lidé MeSH
- nejistota MeSH
- osobnost MeSH
- psychický stres etiologie psychologie MeSH
- psychologické jevy a procesy MeSH
- rozhodování * MeSH
- výběrové chování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH
- přehledy MeSH
- MeSH
- algoritmy MeSH
- artefakty MeSH
- diagnostické zobrazování metody využití MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody normy využití MeSH
- mozek anatomie a histologie MeSH
- počítačové zpracování obrazu MeSH
- počítačové zpracování signálu MeSH
- statistika jako téma MeSH
- teoretické modely MeSH
- zobrazování trojrozměrné metody využití MeSH
- Check Tag
- lidé MeSH
BACKGROUND: High-throughput bioinformatics analyses of next generation sequencing (NGS) data often require challenging pipeline optimization. The key problem is choosing appropriate tools and selecting the best parameters for optimal precision and recall. RESULTS: Here we introduce ToTem, a tool for automated pipeline optimization. ToTem is a stand-alone web application with a comprehensive graphical user interface (GUI). ToTem is written in Java and PHP with an underlying connection to a MySQL database. Its primary role is to automatically generate, execute and benchmark different variant calling pipeline settings. Our tool allows an analysis to be started from any level of the process and with the possibility of plugging almost any tool or code. To prevent an over-fitting of pipeline parameters, ToTem ensures the reproducibility of these by using cross validation techniques that penalize the final precision, recall and F-measure. The results are interpreted as interactive graphs and tables allowing an optimal pipeline to be selected, based on the user's priorities. Using ToTem, we were able to optimize somatic variant calling from ultra-deep targeted gene sequencing (TGS) data and germline variant detection in whole genome sequencing (WGS) data. CONCLUSIONS: ToTem is a tool for automated pipeline optimization which is freely available as a web application at https://totem.software .
