472 research outputs found
Laboratory work of Jablotron 100 alarm system
CĂlem tĂ©to bakalĂĄĆskĂ© prĂĄce je popis zĂĄkladnĂch prvkĆŻ zabezpeÄovacĂho systĂ©mu Jablotron 100 od firmy JABLOTRON ALARMS a. s. a pochopenĂ fungovĂĄnĂ systĂ©mu. VysvÄtlit propojenĂ a architekturu systĂ©mu. SeznĂĄmit se s prvky na demonstraÄnĂm panelu. VĂœstupem prĂĄce je realizace nĂĄvrhu laboratornĂ Ășlohy se systĂ©mem Jablotron 100 pro studenty pĆedmÄtu (BZSY) a vypracovĂĄnĂ pĆĂruÄky pro vyuÄujĂcĂ.The aim of this work is a description of the basic elements of security systems Jablotron 100 from JABLOTRON ALARMS a. s. and understanding the functioning of the system. Explain the schematics and the system's architecture. Become familiar with the elements on a demonstration panel. The practical part of the work results in the realization of laboratory tasks connected to Jablotron 100 for the students of the subject (BZSY) and a manual for teachers.
Bayesian Assessment of Conceptual Uncertainty in Hydrosystem Modeling
This dissertation aims at improving uncertainty assessment for hydrosystem models subject to uncertainty in model structure, parameters, and forcing terms. In order to explicitly account for conceptual uncertainty (the uncertainty in model choice), Bayesian model averaging (BMA) is used as an integrated modeling framework. BMA is a formal statistical approach that rests on Bayesian probability theory. Weights are assigned to a set of alternative conceptual models based on their individual goodness-of-fit against observed data and the principle of parsimony. With these weights, model ranking, model selection or model averaging can be performed. The conceptual uncertainty within the set of considered models can be quantified as so-called between-model variance. A major obstacle to the wide-spread use of BMA lies in the computational challenge to evaluate BMA weights accurately and efficiently. The first part of this dissertation addresses this challenge by assessing and comparing different methods to evaluate the BMA equations, considering both mathematical approximations and numerical schemes (Schöniger et al., 2014). Results of two synthetic test cases and of a hydrological case study show that the choice of evaluation method substantially influences the accuracy of the obtained weights and, consequently, the final model ranking and model-averaged results. If correctly evaluated, BMA weights point the modeler to an optimal trade-off between model performance and complexity. To determine which level of complexity can be justified by the available calibration data, the complexity component of the Bayesian trade-off is isolated from its performance counterpart in the second part of this dissertation. This model justifiability analysis (Schöniger et al., 2015a) is demonstrated on model selection between groundwater models of vastly different complexity. The third part of this dissertation addresses the question of whether model weights are reliable under uncertain model input or calibration data. The proposed sensitivity analysis allows to assess the related confidence in model ranking (Schöniger et al., 2015b). The impact of noisy calibration data on model ranking is investigated in an application to soil-plant model selection. Results show that model weights can be highly sensitive to the outcome of random measurement errors, which compromises the significance of model ranking. The findings from this dissertation also have important implications for the population and extension of the model set, for further model improvement, and for optimal design of experiments toward maximum confidence in model ranking. Overall, new statistical tools for model evaluation and uncertainty assessment are proposed, which are expected to be useful for a broad range of applications both in science and in practice.Diese Dissertation hat zum Ziel, die Quantifizierung von Unsicherheiten bei der Modellierung von Hydrosystemen mit unsicherer Modellstruktur, unsicheren Parametern und unsicheren Eingangsdaten zu verbessern. Um explizit auch die Unsicherheit in der Modellwahl berĂŒcksichtigen zu können, wird Bayessche Modellmittelung (BMA) zur integralen Modellierung verwendet. BMA ist ein formaler statistischer Ansatz, der auf der Bayesschen Wahrscheinlichkeitstheorie beruht. FĂŒr ein Ensemble von alternativen Modellen werden Gewichte anhand der individuellen KalibrierungsgĂŒte und des Parsimonie-Prinzips bestimmt. Mit diesen Gewichten kann Modellranking, Modellwahl und Modellmittelung betrieben werden. Die konzeptionelle Unsicherheit innerhalb des Modellensembles kann als âzwischen-Modell-Varianzâ quantifiziert werden. Ein groĂes Hindernis, das der weitverbreiteten Anwendung von BMA zur integrierten Modellierung und UnsicherheitsabschĂ€tzung im Wege steht, liegt in der technischen Herausforderung, BMA-Gewichte exakt und effizient zu bestimmen. Der erste Teil dieser Arbeit geht diese Herausforderung an mit einem Vergleich von verschiedenen Methoden zur Auswertung der BMA-Gleichungen unter BerĂŒcksichtigung sowohl mathematischer AnnĂ€herungen als auch numerischer Verfahren (Schöniger et al., 2014). Die Ergebnisse zweier synthetischer Fallstudien und eines hydrologischen Anwendungsfalls zeigen, dass die Wahl des Auswerteverfahrens die Genauigkeit der ermittelten Gewichte wesentlich beeinflusst und damit auch das daraus folgende Modellranking und die modellgemittelten Ergebnisse. Sofern korrekt berechnet, zeigen die BMA-Gewichte einen optimalen Kompromiss zwischen ModellgĂŒte und KomplexitĂ€t auf. Um herauszufinden, welcher KomplexitĂ€tsgrad durch den vorhandenen Kalibrierungsdatensatz gerechtfertigt werden kann, wird im zweiten Teil der Arbeit die KomplexitĂ€tskomponente des Bayesschen Kompromisses von der GĂŒtekomponente getrennt. Diese Modellrechtfertigungsanalyse (Schöniger et al., 2015a) wird anhand der Modellwahl zwischen sehr unterschiedlich komplexen Grundwassermodellen demonstriert. Der dritteTeil der Arbeit befasst sich mit der Frage, ob die Modellgewichte unter unsicheren Modelleingangs- oder Kalibrierungsdaten zuverlĂ€ssig sind. Die vorgeschlagene SensitivitĂ€tsanalyse dient dazu, das zulĂ€ssige Vertrauen in das resultierende Modellranking richtig einzuschĂ€tzen (Schöniger et al., 2015b). Die Auswirkungen von verrauschten Kalibrierungsdaten auf das Modellranking werden anhand eines Fallbeispiels zur Boden-Pflanzen-Modellwahl untersucht. Die Ergebnisse zeigen, dass Modellgewichte sehr empfindlich auf den zufĂ€lligen Messfehler reagieren können, was die Aussagekraft des Modellrankings beeintrĂ€chtigt. Die Erkenntnisse aus dieser Dissertation haben auĂerdem Bedeutung fĂŒr die Auswahl und Erweiterung des Modellensembles, fĂŒr die Modellweiterentwicklung und fĂŒr die optimale Datenerhebung im Sinne eines maximal zuverlĂ€ssigen Modellrankings. Insgesamt werden neue statistische Instrumente zur Modellbewertung und Unsicherheitsanalyse vorgeschlagen, die fĂŒr ein breites Anwendungsspektrum sowohl in der Wissenschaft als auch in der Praxis nĂŒtzlich sein werden
A Review on Mammary Tumors in Rabbits: Translation of Pathology into Medical Care
In recent years mammary cancer has been increasingly recognized in pet rabbits.
In addition to uterine carcinomasâthe most common tumor of female rabbitsâmammary cancer can
also markedly reduce the life expectancy of pet rabbits. The aim of this review is to raise awareness
for these tumors and to report recent progress in related research. Their detailed characterization
will likely improve medical care for affected rabbits. Moreover, study results will contribute to
comparative pathology and may reveal if the rabbit is a suitable model for certain types of breast
cancer in humans. Available information suggests that most invasive cancer cases develop through
stepwise progression from non-invasive forms. Thus, early recognition will likely improve a complete
cancer cure. So far, the only treatment option is surgical excision and prognostic factors are unknown.
Recent investigations have identified tumor features with likely prognostic value. They have also
revealed differences and similarities to mammary tumors in other species and breast cancer in women.
Despite these initial data, continued research is necessary to gain more insights into the development
of these tumors and their molecular features
Observaciones en el crecimiento de passiflora mollissima (h.b.k.) bailey (curuba) como base para un sistema de poda
1. El crecimiento libre de P. mollissima da a la planta un hĂĄbito de poco valor para el cultivo: la mayor parte de las ramas es improductiva, y la distribuciĂłn del follaje ademĂĄs favorece la infecciĂłn por hongos.2. En P. mollissima cultivada en espaldera se observa que el crecimiento es acrĂłtono. Las podas hacen mĂĄs notable la acrotonĂa.3. EI transcurso de la cosecha depende del transcurso de la floraciĂłn y de condiciones climĂĄticas; por eso las cosechas de las ramas laterales de primer y de segundo orden pueden ser separadas o no.4. En descendencias de P. mollissima autopolinizada se presentan segregaciones en cuanto a distintas caracterĂsticas, entre ellas tambiĂ©n con respecto al habito de crecimiento.5. Con base en las observaciones se desarrolla un sistema de poda de renovaciĂłn. Esta poda no influye sobre el transcurso de la cosecha, pero rebaja algo el vigor de la planta. Resultados definitivos sobre el valor de la poda sĂłlo se pueden obtener mediante observaciones de varios años
Similarity-Detection and Localization
The detection of similarities between long DNA and protein sequences is
studied using concepts of statistical physics. It is shown that mutual
similarities can be detected by sequence alignment methods only if their amount
exceeds a threshold value. The onset of detection is a continuous phase
transition which can be viewed as a localization-delocalization transition. The
``fidelity'' of the alignment is the order parameter of that transition; it
leads to criteria for the selection of optimal alignment parameters.Comment: 4 pages including 4 figures (308kb post-script file
Surgical management of a cat with hepatic arterioportal fistula
A 9âmonthâold domestic shortâhaired cat presented with stunted growth and chronic gastrointestinal signs. Tachypnoea, a heart murmur and cranial abdominal bruit were detected on physical examination. Echocardiography revealed volume overload in all heart chambers. CT angiography identified an abnormal communication between the hepatic arterial circulation and the portal vein, along with multiple acquired shunts. The abnormal vascular communication was surgically ligated. Echocardiography documented improvement in cardiac parameters following surgery and the cat continues to have no clinical signs 39âmonths after surgery. This report describes successful surgical management of feline hepatic arterioportal fistula for the first time
Surgical management of a cat with hepatic arterioportal fistula
A 9âmonthâold domestic shortâhaired cat presented with stunted growth and chronic gastrointestinal signs. Tachypnoea, a heart murmur and cranial abdominal bruit were detected on physical examination. Echocardiography revealed volume overload in all heart chambers. CT angiography identified an abnormal communication between the hepatic arterial circulation and the portal vein, along with multiple acquired shunts. The abnormal vascular communication was surgically ligated. Echocardiography documented improvement in cardiac parameters following surgery and the cat continues to have no clinical signs 39âmonths after surgery. This report describes successful surgical management of feline hepatic arterioportal fistula for the first time
An Evaluation of Different 3D Cultivation Models on Expression Profiles of Human Periodontal Ligament Fibroblasts with Compressive Strain
The effects of compressive strain during orthodontic treatment on gene expression profiles of periodontal ligament fibroblasts (PDLFs) have mostly been studied in 2D cell culture. However, cells behave differently in many aspects in 3D culture. Therefore, the effect of pressure application on PDLFs in different 3D structures was investigated. PDLFs were either conventionally seeded or embedded into different 3D structures (spheroids, MebiolÂź gel, 3D scaffolds) and exposed to compressive force or incubated without pressure. For one 3D scaffold (POR), we also tested the effect of different compressive forces and application times. Expression of an angiogenic gene (VEGF), a gene involved in extracellular matrix synthesis (COL1A2), inflammatory genes (IL6, PTGS2), and genes involved in bone remodelling (OPG, RANKL) were investigated by RTâqPCR. Depending on the used 3D cell culture model, we detected different effects of compressive strain on expression profiles of PDLFs. COL1A2 was downregulated in all investigated 3D culture models. Angiogenetic and proinflammatory genes were regulated differentially between models. In 3D scaffolds, regulation of bone-remodelling genes upon compressive force was contrary to that observed in 3D gels. 3D cell culture models provide better approximations to in vivo physiology, compared with conventional 2D models. However, it is crucial which 3D structures are used, as these showed diverse effects on the expression profiles of PDLFs during mechanical strain
Testing for deficient mismatch repair and microsatellite instability : AÂ focused update
Testing to detect mismatch repair deficiency (dMMR) and high-grade microsatellite instability (MSI-H) has become an integral part of the routine diagnostic workup for colorectal cancer (CRC). While MSI was initially considered to be a possible indicator of a hereditary disposition to cancer (Lynch syndrome, LS), today the prediction of the therapy response to immune checkpoint inhibitors (ICI) is in the foreground. Corresponding recommendations and testing algorithms are available for use in primary diagnosis (reviewed in: RĂŒschoff et al. 2021).
Given the increasing importance for routine use and the expanding indication spectrum of ICI therapies for non-CRCs, such as endometrial, small intestinal, gastric, and biliary tract cancers, an updated review of dMMR/MSI testing is presented. The focus is on the challenges in the assessment of immunohistochemical stains and the value of PCR-based procedures, considering the expanded ICI indication spectrum. AÂ practice-oriented flowchart for everyday diagnostic decision-making is provided that considers new data on the frequency and type of discordances between MMR-IHC and MSI-PCR findings, and the possible role of Next Generation Sequencing in clarifying them. Reference is made to the significance of systematic quality assurance measures (e.g., QuIP MSI portal and multicenter proficiency testing), including regular continued training and education.
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Der Nachweis der Mismatch-Reparatur-Defizienz (dMMR) mit konsekutiver hochgradiger MikrosatelliteninstabilitĂ€t (MSI-H) ist inzwischen fester Bestandteil der Diagnostik des kolorektalen Karzinoms (KRK). Galt MSI anfĂ€nglich als möglicher Indikator einer erblichen Krebsdisposition (Lynch-Syndrom, LS) steht heute die Vorhersage des Therapieansprechens auf Immuncheckpoint-Inhibitoren (ICI) im Vordergrund. Entsprechende Empfehlungen und Testalgorithmen liegen fĂŒr den Einsatz in der PrimĂ€rdiagnostik vor (Ăbersicht in: RĂŒschoff et al. 2021).
Aufgrund des damit verbundenen routinemĂ€Ăigen Einsatzes und des sich erweiternden Indikationsspektrums von ICI-Therapien fĂŒr Nicht-KRK wie Endometriumâ, DĂŒnndarmâ, Magen- und Gallenwegskarzinome wird eine aktualisierte Ăbersicht zur dMMR/MSI-Testung vorgelegt. Fokus sind die Herausforderungen bei der Beurteilung immunhistochemischer FĂ€rbungen und die Wertigkeit PCR-basierter Verfahren unter BerĂŒcksichtigung des erweiterten ICI-Indikationsspektrums. Anhand neuer Daten zur HĂ€ufigkeit und Art von Diskordanzen zwischen dMMR- und MSI-Befund und der möglichen Rolle von Next Generation Sequencing zu deren AufklĂ€rung wird ein praxisorientiertes Diagramm zur Entscheidungsfindung im diagnostischen Alltag vorgestellt. Wir weisen zudem auf die Bedeutung systematischer QualitĂ€tssicherungsmaĂnahmen (z.âŻB. QuIP MSI-Portal und Ringversuche) einschlieĂlich einer regelmĂ€Ăigen Fortbildung hin
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