Annotation of multiple regions of interest across the whole mouse brain is an indispensable process for quantitative evaluation of a multitude of study endpoints in neuroscience digital pathology. Prior experience and domain expert knowledge are the key aspects for image annotation quality and consistency. At present, image annotation is often achieved manually by certified pathologists or trained technicians, limiting the total throughput of studies performed at neuroscience digital pathology labs. It may also mean that simpler and quicker methods of examining tissue samples are used by non-pathologists, especially in the early stages of research and preclinical studies. To address these limitations and to meet the growing demand for image analysis in a pharmaceutical setting, we developed AnNoBrainer, an open-source software tool that leverages deep learning, image registration, and standard cortical brain templates to automatically annotate individual brain regions on 2D pathology slides. Application of AnNoBrainer to a published set of pathology slides from transgenic mice models of synucleinopathy revealed comparable accuracy, increased reproducibility, and a significant reduction (~ 50%) in time spent on brain annotation, quality control and labelling compared to trained scientists in pathology. Taken together, AnNoBrainer offers a rapid, accurate, and reproducible automated annotation of mouse brain images that largely meets the experts' histopathological assessment standards (> 85% of cases) and enables high-throughput image analysis workflows in digital pathology labs.
In the 21st century, rural communities face many challenges, including implications of dynamic population aging, a lack of social care services, and the occurrence of abandoned post-agricultural brownfields. This paper is methodologically based on the findings derived from a set of qualitative in-depth interviews with the key rural stakeholders, explores the decisive factors and limits, accelerators, and barriers governing successful regeneration of the post-agricultural brownfield in the post-socialist environment. We are using the case of the regeneration project of a large-scale former communist agricultural cooperative, located in Vranovice, the Czech Republic, to illuminate how complex and challenging the redevelopment of a post-agricultural brownfield into a social care facility for elderly people is. A wide agreement among the experts in the field of community development exists that this regeneration project can serve as a model example for other rural municipalities that are sharing similar local development issues. Our findings illustrate how important and challenging at the same time are the matters of good governance, the active and long-term participation of stakeholders in the regeneration project, and the real-life introduction of the public-private partnership concept, particularly in immensely transforming the post-socialist countryside.
- MeSH
- Humans MeSH
- Public-Private Sector Partnerships MeSH
- Aged MeSH
- Social Support MeSH
- Rural Population * MeSH
- Agriculture * MeSH
- Check Tag
- Humans MeSH
- Aged MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
Protein engineering is the discipline of developing useful proteins for applications in research, therapeutic, and industrial processes by modification of naturally occurring proteins or by invention of de novo proteins. Modern protein engineering relies on the ability to rapidly generate and screen diverse libraries of mutant proteins. However, design of mutant libraries is typically hampered by scale and complexity, necessitating development of advanced automation and optimization tools that can improve efficiency and accuracy. At present, automated library design tools are functionally limited or not freely available. To address these issues, we developed Mutation Maker, an open source mutagenic oligo design software for large-scale protein engineering experiments. Mutation Maker is not only specifically tailored to multisite random and directed mutagenesis protocols, but also pioneers bespoke mutagenic oligo design for de novo gene synthesis workflows. Enabled by a novel bundle of orchestrated heuristics, optimization, constraint-satisfaction and backtracking algorithms, Mutation Maker offers a versatile toolbox for gene diversification design at industrial scale. Supported by in silico simulations and compelling experimental validation data, Mutation Maker oligos produce diverse gene libraries at high success rates irrespective of genes or vectors used. Finally, Mutation Maker was created as an extensible platform on the notion that directed evolution techniques will continue to evolve and revolutionize current and future-oriented applications.
- MeSH
- Algorithms MeSH
- Escherichia coli genetics MeSH
- Gene Library MeSH
- Codon genetics MeSH
- Mutation * MeSH
- Mutagenesis, Site-Directed methods MeSH
- Mutagenesis * MeSH
- Mutant Proteins MeSH
- Oligonucleotides genetics MeSH
- Computer Simulation MeSH
- Proteins genetics MeSH
- Directed Molecular Evolution methods MeSH
- Software * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- MeSH
- History, 20th Century MeSH
- Optometry MeSH
- Politics MeSH
- Socialism MeSH
- Check Tag
- History, 20th Century MeSH
- Publication type
- Autobiography MeSH
- Historical Article MeSH
- Personal Narrative MeSH
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- MeSH
- Mass Casualty Incidents MeSH
- Delivery of Health Care, Integrated organization & administration manpower MeSH
- Disasters MeSH
- Disaster Planning MeSH
- Systems Integration MeSH
- Emergency Medical Services classification organization & administration MeSH
- Outcome and Process Assessment, Health Care methods organization & administration trends utilization MeSH
- Rescue Work MeSH
- MeSH
- Optometry * history organization & administration education MeSH
- Publication type
- Historical Article MeSH
- MeSH
- History, 20th Century MeSH
- Optometry * history MeSH
- Check Tag
- History, 20th Century MeSH
- Publication type
- Biography MeSH
- Historical Article MeSH
- Personal Narrative MeSH
Po zvládnutí a vyhodnocení mimořádné události se ex post projeví aktuální úroveň připravenosti zasahujících složek integrovaného záchranného systému. Jednotlivé disproporce v činnostech jsou následně odstraňovány, například formou aktualizace krizové dokumentace. Vzhledem k činnostem, které poskytuje zdravotnická záchranná služba, majícím přímý dopad na záchranu života a zdraví osob, je nutné eliminovat tyto disproporce v co největší míře ex ante. Vystává potřeba najít mechanismy, postupy, případně kritéria, které umožní hodnotit úroveň připravenosti zdravotnické záchranné služby před vznikem mimořádné události. V příspěvku je proto pozornost zaměřena na pracoviště krizové připravenosti, které plní významnou úlohu při přípravě ZZS také na zvládání MU. Jsou navržena hodnotící kritéria a indikátory, které je možné využít pro hodnocení připravenosti uvedeného pracoviště.
The current level of preparedness of the Integrated Rescue System intervening components becomes evident after the management and evaluation of a mass casualty incident. Individual disproportions in the actions taken are subsequently eliminated, e.g. in the form of updating the emergency documentation. In view of the activities provided by the Emergency Medical Services, which have a direct effect on saving lives and health of people, it is necessary to eliminate these disproportions to the largest extent possible before an emergency event occurs. It is very important to find mechanisms, procedures or, if needed, criteria that will enable the assessment of the preparedness level of the Emergency Medical Services before the occurrence of a mass casualty incident. This paper is, therefore, focused on the emergency preparedness units that play an important role in the training of the Emergency Medical Services to deal with mass casualty incidents. The paper proposes evaluation criteria and indicators that can be used for assessing preparedness within the Emergency Medical Services.
Příspěvek předkládá možný návrh metodického postupu pro hodnocení úrovně krizové připravenosti zdravotnické záchranné služby (ZZS) na mimořádné události. Z rozboru současného stavu vyplynulo, že přístupy jednotlivých ZZS krajů České republiky nejsou k naplňování úloh krizové připravenosti na mimořádné události ve stanovených oblastech identické. Aktuální způsob v hodnocení i ve zvyšování kvality krizové připravenosti ZZS je nesourodý a není komplexně kontrolován. Jsou sice vymezeny standardy stanovující závazná doporučení pro zvládání mimořádné události s hromadným postižením osob, ale v současnosti neexistují vhodné nástroje využitelné pro komplexní hodnocení krizové připravenosti.
The paper presents a draft methodology for evaluating emergency preparedness of emergency medical services (EMS). Evaluation of the current state of emergency preparedness has shown that procedures used by regional EMS in the Czech Republic in executing emergency preparedness tasks are not identical in all stipulated areas. Current procedures used to evaluate and improve the quality of emergency response preparedness of the EMS are neither harmonized nor comprehensively controlled. While standards establishing binding recommendations for dealing with mass casualty incidents are in place, no suitable instruments currently exist for a comprehensive evaluation of emergency preparedness.
- MeSH
- History, 20th Century MeSH
- Optometry * history MeSH
- Check Tag
- History, 20th Century MeSH
- Publication type
- Biography MeSH
- Historical Article MeSH
- Personal Narrative MeSH
