Basic research in cardiology ; Supplement Vol. 88. 2
XVI, 160 s. : tab., grafy ; 24 cm
- MeSH
- Cardiovascular Physiological Phenomena MeSH
- Myocardium MeSH
- Heart physiology MeSH
- Publication type
- Congress MeSH
- Collected Work MeSH
- Conspectus
- Lékařské vědy. Lékařství
- NML Fields
- 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
- Technology, Pharmaceutical * MeSH
- Powders MeSH
- Drug Compounding MeSH
- Tablets MeSH
- Pressure MeSH
- Publication type
- Journal Article MeSH
Vedecká stať komparuje definície auditu domácich i zahraničných autorov. Autori určujú elementárnu substanciu definície, a to, že ide o systematické hodnotenie predmetu auditu na základe vopred zadefinovaných pravidiel, noriem a štandardov pre danú oblasť. Fundamentálnym cieľom vedeckej state je navrhnúť a následne optimalizovať model procesu interného auditu kvality poskytovaných služieb v zdravotníckom zariadení. Na tvorbu modelu procesu interného auditu bola využitá metóda Event-driven Process Chain pomocou modelovacieho nástroja ARIS Expres. Uplatnením viacerých vedeckých metód sa naplnil hlavný cieľ vedeckej state a bol namodelovaný a optimalizovaný model interného auditu v zdravotníckom zariadení segmentovaný do troch oblastí. Auditné činnosti sú hlavným diagnostickým nástrojom vrcholového manažmentu a fungujú ako evaluácia a spätná väzba poskytujúca informácie o stave systému kvality zdravotníckeho zariadenia a procesov v ňom prebiehajúcich. Audity predstavujú nezávislý zdroj informácií a týkajú sa všetkých procesov, ktoré tvoria systém zabezpečovania kvality. Proces auditovania sa považuje v súčasnosti za najrozsiahlejší a najviac používaný manažérsky nástroj zisťovania úrovne systému manažérstva kvality.
This scientific paper compares the definitions of an audit of domestic and foreign authors. The authors determine the elemental substance of the definition, namely that it is a systematic evaluation of the audited object based on pre-defined rules, norms and standards for the area. The fundamental aim of the scientific paper is to propose and then optimize the model of process of internal audit on the quality of services in a health facility. For creation of the process model of internal audit has been used the method – Eventdriven Process Chain and the modeling tool – ARIS Express. The process model of internal audit has been created by method – Event-driven Process Chain by help of the modeling tool – ARIS Express. The main objective of the scientific paper has been achieved by implementing a number of scientific methods. As a result, a model for internal audits in the health facility has been created and segmented into three areas and subsequently optimized. The audit activities are the main diagnostic tool of top management and acts as evaluation and feedback that provides information about the status of the quality of medical equipment and processes taking place in it. Audits represent an independent source of information and cover all the processes that make up a quality management system. Nowadays, the auditing process is considered the largest and most widely used management tool for determining the level of quality management system.
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
- Electroencephalography methods MeSH
- Electrocorticography * MeSH
- Humans MeSH
- Neural Networks, Computer * MeSH
- Signal Processing, Computer-Assisted MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article 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 .
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
- Retirement economics MeSH
- Ego MeSH
- Economics * MeSH
- Intelligence MeSH
- Humans MeSH
- Uncertainty MeSH
- Personality MeSH
- Stress, Psychological etiology psychology MeSH
- Psychological Phenomena MeSH
- Decision Making * MeSH
- Choice Behavior MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- MeSH
- Algorithms MeSH
- Artifacts MeSH
- Diagnostic Imaging methods utilization MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods standards utilization MeSH
- Brain anatomy & histology MeSH
- Image Processing, Computer-Assisted MeSH
- Signal Processing, Computer-Assisted MeSH
- Statistics as Topic MeSH
- Models, Theoretical MeSH
- Imaging, Three-Dimensional methods utilization MeSH
- Check Tag
- Humans MeSH