31,942 results on '"BIOM"'
Search Results
2. Wide-Angle Viewing System and Endoillumimnation
- Author
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Yoneda, Kazuhito, Oshima, Yusuke, Jain, Astha, editor, Natarajan, S., editor, and Saxena, Sandeep, editor
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- 2021
- Full Text
- View/download PDF
3. Episcleral Buckling for Detachment Surgery with BIOM
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Spandau, Ulrich, Heimann, Heinrich, Spandau, Ulrich, and Heimann, Heinrich
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- 2018
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- View/download PDF
4. The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome
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McDonald, Daniel, Clemente, Jose C, Kuczynski, Justin, Rideout, Jai Ram, Stombaugh, Jesse, Wendel, Doug, Wilke, Andreas, Huse, Susan, Hufnagle, John, Meyer, Folker, Knight, Rob, and Caporaso, J Gregory
- Subjects
Information and Computing Sciences ,Biological Sciences ,Applied Computing ,Microbial ecology ,Comparative genomics ,Metagenomics ,QIIME ,MG-RAST ,VAMPS ,BIOM - Abstract
BackgroundWe present the Biological Observation Matrix (BIOM, pronounced "biome") format: a JSON-based file format for representing arbitrary observation by sample contingency tables with associated sample and observation metadata. As the number of categories of comparative omics data types (collectively, the "ome-ome") grows rapidly, a general format to represent and archive this data will facilitate the interoperability of existing bioinformatics tools and future meta-analyses.FindingsThe BIOM file format is supported by an independent open-source software project (the biom-format project), which initially contains Python objects that support the use and manipulation of BIOM data in Python programs, and is intended to be an open development effort where developers can submit implementations of these objects in other programming languages.ConclusionsThe BIOM file format and the biom-format project are steps toward reducing the "bioinformatics bottleneck" that is currently being experienced in diverse areas of biological sciences, and will help us move toward the next phase of comparative omics where basic science is translated into clinical and environmental applications. The BIOM file format is currently recognized as an Earth Microbiome Project Standard, and as a Candidate Standard by the Genomic Standards Consortium.
- Published
- 2012
5. Prognostic biomarkers for the response to the radiosensitizer nimorazole combined with RCTx: a pre-clinical trial in HNSCC xenografts
- Author
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Koi, L., Bitto, V., Weise, C., Möbius, L., Linge, A., Löck, S., Yaromina, A., José Besso, M., Valentini, C., Pfeifer, M., Overgaard, J., Zips, D., Kurth, I., (0000-0003-1776-9556) Krause, M., Baumann, M., Koi, L., Bitto, V., Weise, C., Möbius, L., Linge, A., Löck, S., Yaromina, A., José Besso, M., Valentini, C., Pfeifer, M., Overgaard, J., Zips, D., Kurth, I., (0000-0003-1776-9556) Krause, M., and Baumann, M.
- Abstract
Background Tumor hypoxia is associated with resistance to radiotherapy and chemotherapy. In head and neck squamous cell carcinoma (HNSCC), nimorazole, an oxygen mimic, combined with radiotherapy (RT) enabled to improve loco-regional control (LRC) in some patients with hypoxic tumors but it is unknown whether this holds also for radio- chemotherapy (RCTx). Here, we investigated the impact of nimorazole combined with RCTx in HNSCC xenografts and explored molecular biomarkers for its targeted use. Methods Irradiations were performed with 30 fractions in 6 weeks combined with weekly cisplatin. Nimorazole was applied before each fraction, beginning with the first or after ten fractions. Effect of RCTx with or without addition of nimorazole was quantified as permanent local control after irradiation. For histological evaluation and targeted gene expression analysis, tumors were excised untreated or after ten fractions. Using quantitative image analysis, micromilieu parameters were determined. Results Nimorazole combined with RCTx significantly improved permanent local control in two tumor models, and showed a potential improvement in two additional models. In these four models, pimonidazole hypoxic volume (pHV) was significantly reduced after ten fractions of RCTx alone. Our results suggest that nimorazole combined with RCTx might improve TCR compared to RCTx alone if hypoxia is decreased during the course of RCTx but further experiments are warranted to verify this association. Differential gene expression analysis revealed 12 genes as potential for RCTx response. When evaluated in patients with HNSCC who were treated with primary RCTx, these genes were predictive for LRC. Conclusions Nimorazole combined with RCTx improved local tumor control in some but not in all HNSCC xeno-grafts. We identified prognostic biomarkers with the potential for translation to patients with HNSCC.
- Published
- 2023
6. Einfluss des Anbaulandes und ökologische Auswirkungen des Kaffeeanbaus auf die Biodiversität
- Author
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Nuot, Fliri and Nuot, Fliri
- Abstract
The cultivation of Coffee is an agricultural resource worldwide, particularly in tropical countries, providing a livelihood for 20-25 million small-scale farmers and experiencing a steady increase in demand on the global market. Remarkable increases in productivity have been observed in major producing countries such as Brazil, China, and Vietnam since 1961. This study examined the impact of cultivation regions on the loss of biodiversity per kilogram of Coffee beans and the ecological consequences of Coffee production in different regions. The study quantified the influence of Coffee cultivation on biodiversity using the countryside Species-Area-Relationship (SAR) model. The world was divided into various eco-regions, and vulnerability was assessed based on area, species diversity, and threat level. The ten largest Coffee-producing countries were investigated, with Mexico and Colombia exhibiting a higher potential species loss per kilogram of Coffee compared to other countries. Specifically, Mexico required a large area of 34.64 square meters per kilogram of Coffee, indicating inefficient Coffee cultivation. Colombia showed a significant impact on biodiversity due to cultivation in biologically valuable regions with high biodiversity. Furthermore, the impacts of different biomes on potential species loss were analysed. Three biomes were identified with a higher proportion of lost species per kilogram of Coffee: tropical and subtropical moist forests, tropical and subtropical dry forests, and tropical and subtropical coniferous forests. Three of Brazil's largest cultivation areas are located in biomes with lower potential species loss per kilogram of Coffee, indicating that it is possible to identify areas that yield high productivity while minimizing species loss. To reduce biodiversity loss in existing Coffee plantations, it is recommended to implement agroforestry systems with native plant species. These systems not only provide habitats for various taxa but also, Der Anbau von Kaffee ermöglicht weltweit und vor allem in tropischen Ländern 20-25 Millionen Kleinbauern den Lebensunterhalt, wobei die Nachfrage auf dem Weltmarkt stetig steigt. Entsprechend verzeichnen laut Food and Agriculture Organisation (FAO), Hauptproduktionsländer wie Brasilien und Vietnam seit 1961 Produktivitätssteigerungen. Diese Studie untersuchte den Einfluss des Anbaulands auf den Biodiversitätsverlust pro Kilogramm Kaffeebohnen und die ökologischen Auswirkungen des Kaffeeanbaus auf die Biodiversität in verschiedenen Regionen. Der Einfluss des Kaffeeanbaus auf die Biodiversität wurde mithilfe des Land-Arten-Flächenverhältnis (SAR) Modells quantifiziert. Für eine differenzierte Analyse der Vulnerabilität wurde unter Berücksichtigung der Parameter «Fläche», «Artenvielfalt» und «Bedrohungsstufe» zwischen verschiedenen Ökoregionen unterschieden. Untersucht wurden die zehn grössten Kaffeeproduktionsländer, wobei Mexiko und Kolumbien einen höheren potenziellen Artenverlust pro Kilogramm Kaffee aufwiesen als andere Länder. Insbesondere Mexiko benötigte eine Fläche von 34.64 m2 pro Kilogramm Kaffee, dieser Wert liegt 20.43 m2 über dem durchschnittlichen Landverbrauch, dies deutet auf einen ineffizienten Kaffeeanbau hin. In Kolumbien wurde in Regionen, die eine grosse Biodiversität aufweisen, eine starke Veränderung der Biodiversität als Folge des Kaffeeanbaus festgestellt. Des Weiteren wurden die Auswirkungen verschiedener Biome auf den potenziellen Artenverlust analysiert. Dabei wurden drei Biome identifiziert, die einen höherer Anteil an verschwundenen Arten pro Kilogramm Kaffee aufwiesen: die tropischen und subtropischen feuchten Laubwälder, die tropischen und subtropischen trockenen Laubwälder sowie die tropischen und subtropischen Nadelwälder. Drei der grössten Anbaugebiete Brasiliens befinden sich jedoch in Biomen mit einem geringeren potenziellen Artenverlust pro Kilogramm Kaffee. Dies zeigt, dass es möglich ist, Anbaugebiete zu identifizieren, die hohe
- Published
- 2023
7. CLASSIFICATION OF SOFTWARE CONTROL ARCHITECTURES FOR A POWERED PROSTHESIS THROUGH CONVENTIONAL GAIT ANALYSIS USING MACHINE LEARNING APPLICATIONS.
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LEMOYNE, ROBERT and MASTROIANNI, TIMOTHY
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SOFTWARE architecture , *MACHINE learning , *PROSTHETICS , *FILAMENT winding , *SUPPORT vector machines , *DECISION trees - Abstract
The powered prosthesis for people with transtibial amputation offers the opportunity to more appropriately restore gait functionality with benefits, such as powered plantar flexion. In particular, various software control architectures provide unique capabilities for regulating the powered prosthesis during gait. One highly novel approach applies the winding filament hypothesis, which enables an advanced modeling of muscle characteristics, such as through introducing the attributes of titin into the muscle model. The objective of the research is to contrast the conventional control architecture of the BiOM-powered prosthesis compared with the winding filament hypothesis control architecture through machine learning classification. Four machine learning algorithms are applied through the Waikato Environment for Knowledge Analysis (WEKA): J48 decision tree, K -nearest neighbors, logistic regression, and the support vector machine. The feature set is derived from the force signal acquired from a force plate, which is a conventional gait analysis system. The feature set applied five attributes representing temporal and kinetic aspects of the stance phase of gait. The K -nearest neighbors algorithm achieves the best machine learning classification accuracy of 95%. The preliminary research establishes the foundation for more sophisticated endeavors respective of the powered prosthesis, such as determining the appropriateness of modifying the software control architecture to best accommodate the progressive lifestyle evolutions and adaptations of the person with amputation. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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8. Clinical roles of soluble ST2 for the outcomes of cardiac valve operations
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Robert Chen
- Subjects
ST2 ,NT-proBNP ,heart failure ,troponin-T ,biom ,Science - Abstract
Soluble ST2 is a novel cardiac biomarker that reflects cardiac injury and the response to treatment. Previous studies showed that ST2 has less confounding and more specific than NT-proBNP. ACCF/AHA has proposed 2013 Guidelines for the Management of Heart Failure that includes ST2 in the recommendations. In the research proposal, we will assess the clinical role of serum ST2 level in cardiac non-coronary valve surgical patients. We will recruit 70 patients who undergo cardiac non-coronary valve operations. Serum levels of ST2 and NT-proBNP and troponin-T will be measured at preoperative baseline, postoperative 24 hours, and postoperative 5 to 10 days in the routine blood sampling. The endpoints include hospital mortality, all-cause mortality, unexpected ICU return, MACE, time to extubation, and total length of stay. We will also collect various preoperative, operative, and postoperative variables, such as EuroScore-II. Their relationships will be analyzed. We expect to demonstrate the superior role of ST2 to NT-proBNP and other variables in risk stratification and outcome prediction and assessment in our cohort.
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- 2016
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9. Desiccation events change the microbial response to gradients of wastewater effluent pollution.
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Romero, Ferran, Sabater, Sergi, Font, Carme, Balcázar, José Luís, and Acuña, Vicenç
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SEWAGE disposal plants , *SEWAGE sludge , *WASTEWATER treatment , *MICROBIAL communities , *POLYMERASE chain reaction - Abstract
Abstract While wastewater treatment plant (WWTP) effluents have become increasingly recognized as a stressor for receiving rivers, their effects on river microbial communities remain elusive. Moreover, global change is increasing the frequency and duration of desiccation events in river networks, and we ignore how desiccation might influence the response of microbial communities to WWTP effluents. In this study, we evaluated the interaction between desiccation events and WWTP effluents under different dilution capacities. Specifically, we used artificial streams in a replicated regressional design, exposing first a section of the streams to a 7-day desiccation period and then the full stream to different levels of a realistic WWTP effluent dilution, from 0% to 100% of WWTP effluent proportion of the total stream flow. The microbial community response was assessed by means of high-throughput sequencing of 16S rRNA gene amplicons and quantitative PCR targeting ecologically-relevant microbial groups. Threshold Indicator Taxa Analysis (TITAN) was used, together with model fitting, to determine community thresholds and potential indicator taxa. Results show significant interactions between WWTP effluents and desiccation, particularly when sediment type is considered. Indicator taxa included members of Proteobacteria, Actinobacteria and Cyanobacteria, with abrupt changes in community structure at WWTP effluent proportion of the total flow above 50%, which is related to nutrient levels ranging 4.6–5.2 mg N − N O 3 − L−1, 0.21–0.32 mg P − P O 4 3 − L−1 and 7.09–9.00 mg DOC L−1. Our work indicates that situations where WWTP effluents account for >50% of the total river flow might risk of dramatic microbial community structure changes and should be avoided. Graphical abstract Image 1 Highlights • Interactive effects of a WWTP effluent and desiccation were evaluated. • Individual and interactive effects on bacterial community were identified. • Highest change in bacterial community composition at > 50% of wastewater effluent. • Bacterial indicator taxa to wastewater pollution were identified. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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10. Biom as an Alternative to Sustainable City. The Introduction.
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Kleszcz, Justyna and Sobierajewicz, Piotr
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URBAN planning ,GREEN technology ,SUSTAINABLE development ,WATER consumption ,URBANIZATION - Abstract
Using the idea of sustainability in terms of not having any alternative forms of modern town planning gives a false image of the only chance humanity has to overcome the problem of urban withering. The paper in to show the idea of urban biom as a form of redeveloping cities in non-formal and non-technical way, which is nowadays associated mostly with the idea of sustainability - energy and water efficiency, green technologies of the future and so on. Biom is a new form of identifying green areas, not only as passive, but mostly active form of urban development basing not only on flora but also urban fauna, differing and depending on geographic region in which the city is located. By leaving the idea of programmed zoning of eco-cities a new kind of urban utility zoning basing on the idea of biom is to be created. The beginning of change can be defined by technological, cultural, industrial, communication progress, which "liberated" large city areas or supported them for the inhabitants. A significant reduction of restricted zone area, excluded from use, but also occurring rapidly transformations of socio - political form, which are often the next stage of the industrial revolution resulted in the need to formulate a new development policy of those empty spaces that remain in the place of former functions. Simultaneously one can observe differences in the modern approach towards animals as a part of urban nature and the independence of modern man from immediate animal work, but also lack of having daily contact with them in various forms of humans' separation from nature. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
11. Der Sinn des Lebens
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Poleev, Andrej
- Subjects
biosome ,Biosom ,Sensorik ,biosphere ,Sensom ,Biotop ,Sinn ,сенсор ,Biosphäre ,Empfänger ,сенсома ,sensorics ,biome ,sensor ,сенсорика ,биосома ,sense ,биома ,biotope ,sensome ,смысл ,биотоп ,биосфера ,Biom - Abstract
Heutige Sprache besteht aus versteinerten Formen, denen zu widersprechen für die meisten Menschen widersinnig erscheint. In diesem Empfinden des Widersinns im Widersprechen manifestiert sich psychischer Widerstand, der überwunden werden muß, indem er für alle, die davon betroffen sind, bewußt gemacht wird. Weil die Bewußtwerdung abgewehrter Inhalte ein Vorgang ist, der im Verlauf psychoanalytischer Behandlung oder Selbstbefragung bzw. Selbstinfragestellung zustande kommt, versuche ich die wesentlichen Ursachen für psychischen Widerstand aufzuzeigen.
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- 2022
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12. Geochemical Assessment of Fluoride Pollution in Groundwater of Tribal Region in India.
- Author
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Anshumali, Kumar, Manish, Chanda, Nikki, Kumar, Abhay, Kumar, Bijendra, and Venkatesh, Madavi
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GEOCHEMISTRY ,WATER fluoridation ,GROUNDWATER pollution ,CHEMICAL weathering - Abstract
This study assessed the fluoride (F
− ) pollution in groundwater samples (n = 170) of tribal regions around Bailadila Iron Ore Mines [BIOM] Complex of Dantewada District, India. Weathering of carbonate and silicate clays were important geogenic sources of dissolved ions. A Piper diagram showed a Ca–HCO3 water type, with positive chloro-alkaline indices illustrating the occurrence of direct base-exchange reactions. The F− concentrations varied from 0.08 to 1.95 mg L−1 with a mean value of 0.9 ± 0.3 mg L−1 . Only two groundwater samples showed F− concentrations > 1.5 mg L−1 , the drinking water guideline established by the World Health Organization (WHO) and Bureau of Indian Standards (BIS). Factor analysis showed high loadings of HCO3 − and F− , indicating alkaline conditions, favoring the dissolution of F− in the groundwater. TheK value is less than 10fluor −10.6 , indicating that the dissociation of fluorite is very slow. As a result, groundwater locations were under-saturated with respect to fluorite. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
13. An urban biom as an alternative to sustainable city.
- Author
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Kleszcz, Justyna and Sobierajewicz, Piotr
- Subjects
SUSTAINABILITY ,URBAN planning ,BIOMASS ,URBANIZATION ,INDUSTRIAL revolution - Abstract
Using the idea of sustainability in terms of not having any alternative forms of modern town planning gives a false image of the only chance humanity has to overcome the problem of urban withering. The paper in to show the idea of urban biom / urban polyspecific areas as a form of redeveloping cities in nonformal and non-technical way, which is nowadays associated mostly with the idea of sustainability - energy and water efficiency, green technologies of the future and so on. Biom is a new form of identifying green areas, not only as passive, but mostly active form of urban development basing not only on flora but also urban fauna, differing and depending on geographic region in which the city is located. By leaving the idea of programmed zoning of eco-cities a new kind of urban utility zoning basing on the idea of biom is to be created. The beginning of change can be defined by technological, cultural, industrial, communication progress, which "liberated" large city areas or supported them for the inhabitants. A significant reduction of restricted zone area, excluded from use, but also occurring rapidly transformations of socio - political form, which are often the next stage of the industrial revolution resulted in the need to formulate a new development policy of those empty spaces that remain in the place of former functions. Simultaneously one can observe differences in the modern approach towards animals as a part of urban nature and the independence of modern man from immediate animal work, but also lack of having daily contact with them in various forms of humans' separation from nature. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
14. George Walker Bush.
- Abstract
Bush, George Walker, 1946–, 43d President of the United States (2001–9), b. New Haven, Conn. The eldest son of President George H. W. Bush, he was was raised in Texas and, like his father, attended Phillips Academy in Andover, Mass., and Yale, graduating in 1968. He subsequently earned a Harvard M.B.A. (1975) and worked in the oil and gas industry (1975–86). Bush helped manage his father's 1988 presidential campaign, then became managing partner (1989–94) of the Texas Rangers baseball team. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
15. William Shakespeare.
- Abstract
Shakespeare, William, 1564–1616, English dramatist and poet, b. Stratford-upon-Avon. He is widely considered the greatest playwright who ever lived. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
16. Napoleon I.
- Abstract
Napoleon I (nəpō′lēən, Fr. näpôlāōN′), 1769–1821, emperor of the French, b. Ajaccio, Corsica, known as the Little Corporal. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
17. Multispectral Remote Sensing and Deep Learning for Wildfire Detection
- Author
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Hu, Xikun and Hu, Xikun
- Abstract
Remote sensing data has great potential for wildfire detection and monitoring with enhanced spatial resolution and temporal coverage. Earth Observation satellites have been employed to systematically monitor fire activity over large regions in two ways: (i) to detect the location of actively burning spots (during the fire event), and (ii) to map the spatial extent of the burned scars (during or after the event). Active fire detection plays an important role in wildfire early warning systems. The open-access of Sentinel-2 multispectral data at 20-m resolution offers an opportunity to evaluate its complementary role to the coarse indication in the hotspots provided by MODIS-like polar-orbiting and GOES-like geostationary systems. In addition, accurate and timely mapping of burned areas is needed for damage assessment. Recent advances in deep learning (DL) provides the researcher with automatic, accurate, and bias-free large-scale mapping options for burned area mapping using uni-temporal multispectral imagery. Therefore, the objective of this thesis is to evaluate multispectral remote sensing data (in particular Sentinel-2) for wildfire detection, including active fire detection using a multi-criteria approach and burned area detection using DL models. For active fire detection, a multi-criteria approach based on the reflectance of B4, B11, and B12 of Sentinel-2 MSI data is developed for several representative fire-prone biomes to extract unambiguous active fire pixels. The adaptive thresholds for each biome are statistically determined from 11 million Sentinel-2 observations samples acquired over summertime (June 2019 to September 2019) across 14 regions or countries. The primary criterion is derived from 3 sigma prediction interval of OLS regression of observation samples for each biome. More specific criteria based on B11 and B12 are further introduced to reduce the omission errors (OE) and commission errors (CE). The multi-criteria approach proves to, Fjärranalysdata har stor potential för upptäckt och övervakning av skogsbränder med förbättrad rumslig upplösning och tidsmässig täckning. Jordobservationssatelliter har använts för att systematiskt övervaka brandaktivitet över stora regioner på två sätt: (i) för att upptäcka placeringen av aktivt brinnande fläckar (under brandhändelsen) och (ii) för att kartlägga den brända ärrens rumsliga omfattning ( under eller efter evenemanget). Aktiv branddetektering spelar en viktig roll i system för tidig varning för skogsbränder. Den öppna tillgången till Sentinel-2 multispektral data vid 20 m upplösning ger en möjlighet att utvärdera dess kompletterande roll i förhållande till den grova indikationen i hotspots som tillhandahålls av MODIS-liknande polaromloppsbanesystem och GOES-liknande geostationära system. Dessutom krävs en korrekt och snabb kartläggning av brända områden för skadebedömning. Senaste framstegen inom deep learning (DL) ger forskaren automatiska, exakta och förspänningsfria storskaliga kartläggningsalternativ för kartläggning av bränt område med unitemporal multispektral bild. Därför är syftet med denna avhandling att utvärdera multispektral fjärranalysdata (särskilt Sentinel- 2) för att upptäcka skogsbränder, inklusive aktiv branddetektering med hjälp av ett multikriterietillvägagångssätt och detektering av bränt område med DL-modeller. För aktiv branddetektering utvecklas en multikriteriemetod baserad på reflektionen av B4, B11 och B12 i Stentinel-2 MSI data för flera representativa brandbenägna biom för att få fram otvetydiga pixlar för aktiv brand. De adaptiva tröskelvärdena för varje biom bestäms statistiskt från 11 miljoner Sentinel-2 observationsprover som förvärvats under sommaren (juni 2019 till september 2019) i 14 regioner eller länder. Det primära kriteriet härleds från 3-sigma-prediktionsintervallet för OLS-regression av observationsprover för varje biom. Mer specifika kriterier baserade på B11 och B12 införs vidare för att minska utelämningsf, QC 20210525
- Published
- 2021
18. Multispektral fjärranalys och djupinlärning för upptäckt av skogsbränder
- Author
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Hu, Xikun
- Subjects
active fire detection ,aktiv branddetektering ,burned area mapping ,deep learning ,multi-criteria ,maskininlärningsmetoderna ,semantic segmentation ,biom ,Remote Sensing ,biome ,kartläggning av bränt område ,Landsat-8 ,semantisk segmentering ,Sentinel-2 ,Fjärranalysteknik ,djupinlärning ,machine learning ,multikriterietillvägagångssätt - Abstract
Remote sensing data has great potential for wildfire detection and monitoring with enhanced spatial resolution and temporal coverage. Earth Observation satellites have been employed to systematically monitor fire activity over large regions in two ways: (i) to detect the location of actively burning spots (during the fire event), and (ii) to map the spatial extent of the burned scars (during or after the event). Active fire detection plays an important role in wildfire early warning systems. The open-access of Sentinel-2 multispectral data at 20-m resolution offers an opportunity to evaluate its complementary role to the coarse indication in the hotspots provided by MODIS-like polar-orbiting and GOES-like geostationary systems. In addition, accurate and timely mapping of burned areas is needed for damage assessment. Recent advances in deep learning (DL) provides the researcher with automatic, accurate, and bias-free large-scale mapping options for burned area mapping using uni-temporal multispectral imagery. Therefore, the objective of this thesis is to evaluate multispectral remote sensing data (in particular Sentinel-2) for wildfire detection, including active fire detection using a multi-criteria approach and burned area detection using DL models. For active fire detection, a multi-criteria approach based on the reflectance of B4, B11, and B12 of Sentinel-2 MSI data is developed for several representative fire-prone biomes to extract unambiguous active fire pixels. The adaptive thresholds for each biome are statistically determined from 11 million Sentinel-2 observations samples acquired over summertime (June 2019 to September 2019) across 14 regions or countries. The primary criterion is derived from 3 sigma prediction interval of OLS regression of observation samples for each biome. More specific criteria based on B11 and B12 are further introduced to reduce the omission errors (OE) and commission errors (CE). The multi-criteria approach proves to be effective in cool smoldering fire detection in study areas with tropical & subtropical grasslands, savannas & shrublands using the primary criterion. At the same time, additional criteria that thresholds the reflectance of B11 and B12 can effectively decrease the CE caused by extremely bright flames around the hot cores in testing sites with Mediterranean forests, woodlands & scrub. The other criterion based on reflectance ratio between B12 and B11 also avoids the effects of CE caused by hot soil pixels in sites with tropical & subtropical moist broadleaf forests. Overall, the validation performance over testing patches reveals that CE and OE can be kept at a low level (0.14 and 0.04) as an acceptable trade-off. This multi-criteria algorithm is suitable for rapid active fire detection based on uni-temporal imagery without the requirement of multi-temporal data. Medium-resolution multispectral data can be used as a complementary choice to the coarse resolution images for their ability to detect small burning areas and to detect active fires more accurately. For burned area mapping, this thesis aims to expound on the capability of deep DL models for automatically mapping burned areas from uni-temporal multispectral imagery. Various burned area detection algorithms have been developed using Sentinel-2 and/or Landsat data, but most of the studies require a pre-fire image, dense time-series data, or an empirical threshold. In this thesis, several semantic segmentation network architectures, i.e., U-Net, HRNet, Fast- SCNN, and DeepLabv3+ are applied to Sentinel-2 imagery and Landsat-8 imagery over three testing sites in two local climate zones. In addition, three popular machine learning (ML) algorithms (LightGBM, KNN, and random forests) and NBR thresholding techniques (empirical and OTSU-based) are used in the same study areas for comparison. The validation results show that DL algorithms outperform the machine learning (ML) methods in two of the three cases with the compact burned scars, while ML methods seem to be more suitable for mapping dispersed scar in boreal forests. Using Sentinel-2 images, U-Net and HRNet exhibit comparatively identical performance with higher kappa (around 0.9) in one heterogeneous Mediterranean fire site in Greece; Fast-SCNN performs better than others with kappa over 0.79 in one compact boreal forest fire with various burn severity in Sweden. Furthermore, directly transferring the trained models to corresponding Landsat-8 data, HRNet dominates in the three test sites among DL models and can preserve the high accuracy. The results demonstrate that DL models can make full use of contextual information and capture spatial details in multiple scales from fire-sensitive spectral bands to map burned areas. With the uni-temporal image, DL-based methods have the potential to be used for the next Earth observation satellite with onboard data processing and limited storage for previous scenes. In the future study, DL models will be explored to detect active fire from multi-resolution remote sensing data. The existing problem of unbalanced labeled data can be resolved via advanced DL architecture, the suitable configuration on the training dataset, and improved loss function. To further explore the damage caused by wildfire, future work will focus on the burn severity assessment based on DL models through multi-class semantic segmentation. In addition, the translation between optical and SAR imagery based on Generative Adversarial Network (GAN) model could be explored to improve burned area mapping in different weather conditions. Fjärranalysdata har stor potential för upptäckt och övervakning av skogsbränder med förbättrad rumslig upplösning och tidsmässig täckning. Jordobservationssatelliter har använts för att systematiskt övervaka brandaktivitet över stora regioner på två sätt: (i) för att upptäcka placeringen av aktivt brinnande fläckar (under brandhändelsen) och (ii) för att kartlägga den brända ärrens rumsliga omfattning ( under eller efter evenemanget). Aktiv branddetektering spelar en viktig roll i system för tidig varning för skogsbränder. Den öppna tillgången till Sentinel-2 multispektral data vid 20 m upplösning ger en möjlighet att utvärdera dess kompletterande roll i förhållande till den grova indikationen i hotspots som tillhandahålls av MODIS-liknande polaromloppsbanesystem och GOES-liknande geostationära system. Dessutom krävs en korrekt och snabb kartläggning av brända områden för skadebedömning. Senaste framstegen inom deep learning (DL) ger forskaren automatiska, exakta och förspänningsfria storskaliga kartläggningsalternativ för kartläggning av bränt område med unitemporal multispektral bild. Därför är syftet med denna avhandling att utvärdera multispektral fjärranalysdata (särskilt Sentinel- 2) för att upptäcka skogsbränder, inklusive aktiv branddetektering med hjälp av ett multikriterietillvägagångssätt och detektering av bränt område med DL-modeller. För aktiv branddetektering utvecklas en multikriteriemetod baserad på reflektionen av B4, B11 och B12 i Stentinel-2 MSI data för flera representativa brandbenägna biom för att få fram otvetydiga pixlar för aktiv brand. De adaptiva tröskelvärdena för varje biom bestäms statistiskt från 11 miljoner Sentinel-2 observationsprover som förvärvats under sommaren (juni 2019 till september 2019) i 14 regioner eller länder. Det primära kriteriet härleds från 3-sigma-prediktionsintervallet för OLS-regression av observationsprover för varje biom. Mer specifika kriterier baserade på B11 och B12 införs vidare för att minska utelämningsfel (OE) och kommissionsfel (CE). Det multikriteriella tillvägagångssättet visar sig vara effektivt när det gäller upptäckt av svala pyrande bränder i undersökningsområden med tropiska och subtropiska gräsmarker, savanner och buskmarker med hjälp av det primära kriteriet. Samtidigt kan ytterligare kriterier som tröskelvärden för reflektionen av B11 och B12 effektivt minska det fel som orsakas av extremt ljusa lågor runt de heta kärnorna i testområden med skogar, skogsmarker och buskage i Medelhavsområdet. Det andra kriteriet som bygger på förhållandet mellan B12 och B11:s reflektionsgrad undviker också effekterna av CE som orsakas av heta markpixlar i områden med tropiska och subtropiska fuktiga lövskogar. Sammantaget visar valideringsresultatet för testområden att CE och OE kan hållas på en låg nivå (0,14 och 0,04) som en godtagbar kompromiss. Algoritmen med flera kriterier lämpar sig för snabb aktiv branddetektering baserad på unika tidsmässiga bilder utan krav på tidsmässiga data. Multispektrala data med medelhög upplösning kan användas som ett kompletterande val till bilder med kursupplösning på grund av deras förmåga att upptäcka små brinnande områden och att upptäcka aktiva bränder mer exakt. När det gäller kartläggning av brända områden syftar denna avhandling till att förklara hur djupa DL-modeller kan användas för att automatiskt kartlägga brända områden från multispektrala bilder i ett tidsintervall. Olika algoritmer för upptäckt av brända områden har utvecklats med hjälp av Sentinel-2 och/eller Landsat-data, men de flesta av studierna kräver att man har en förebränning. bild före branden, täta tidsseriedata eller ett empiriskt tröskelvärde. I den här avhandlingen tillämpas flera arkitekturer för semantiska segmenteringsnätverk, dvs. U-Net, HRNet, Fast- SCNN och DeepLabv3+, på Sentinel- 2 bilder och Landsat-8 bilder över tre testplatser i två lokala klimatzoner. Dessutom används tre populära algoritmer för maskininlärning (ML) (Light- GBM, KNN och slumpmässiga skogar) och NBR-tröskelvärden (empiriska och OTSU-baserade) i samma undersökningsområden för jämförelse. Valideringsresultaten visar att DL-algoritmerna överträffar maskininlärningsmetoderna (ML) i två av de tre fallen med kompakta brända ärr, medan ML-metoderna verkar vara mer lämpliga för kartläggning av spridda ärr i boreala skogar. Med hjälp av Sentinel-2 bilder uppvisar U-Net och HRNet jämförelsevis identiska prestanda med högre kappa (omkring 0,9) i en heterogen brandplats i Medelhavet i Grekland; Fast-SCNN presterar bättre än andra med kappa över 0,79 i en kompakt boreal skogsbrand med varierande brännskadegrad i Sverige. Vid direkt överföring av de tränade modellerna till motsvarande Landsat-8-data dominerar HRNet dessutom på de tre testplatserna bland DL-modellerna och kan bevara den höga noggrannheten. Resultaten visade att DL-modeller kan utnyttja kontextuell information fullt ut och fånga rumsliga detaljer i flera skalor från brandkänsliga spektralband för att kartlägga brända områden. Med den unika tidsmässiga bilden har DL-baserade metoder potential att användas för nästa jordobservationssatellit med databehandling ombord och begränsad lagring av tidigare scener. I den framtida studien kommer DL-modeller att undersökas för att upptäcka aktiva bränder från fjärranalysdata med flera upplösningar. Det befintliga problemet med obalanserade märkta data kan lösas med hjälp av en avancerad DL-arkitektur, lämplig konfiguration av träningsdatasetet och förbättrad förlustfunktion. För att ytterligare utforska de skador som orsakas av skogsbränder kommer det framtida arbetet att fokusera på bedömningen av brännskadornas allvarlighetsgrad baserat på DL-modeller genom semantisk segmentering av flera klasser. Dessutom kan översättningen mellan optiska bilder och SAR-bilder baserad på en GAN-modell (Generative Adversarial Network) undersökas för att förbättra kartläggningen av brända områden under olika väderförhållanden. QC 20210525
- Published
- 2021
19. OCCURRENCE OF ANURANS IN BRAZILIAN CAVES.
- Author
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MATAVELLI, Rodrigo, CAMPOS, Aldenise MARTINS, FEIO, Renato NEVES, and FERREIRA, Rodrigo LOPES
- Subjects
- *
ANURA , *BIOMES , *PETROLOGY , *SPECIES diversity , *CAVES - Abstract
Brazil has the greatest diversity of anurans and also one of the greatest speleological patrimonies in the world. However, informations about anurans in Brazilian caves including different biomes and lithologies are scarce. This study sampled 223 caves divided into different biomes (Amazon, Atlantic Forest, Caatinga, Cerrado and transition areas) and lithologies (Conglomerate, Granite, Iron-ore, Limestone, Marble, Quartzite, and Sandstone) distributed in eleven Brazilian states. To determine the anuran composition (presence/absence), a single sampling event was conducted in each cave by a team of three researchers in the period 1999-2011, following acoustic and visual search methods. We recorded 54 species distributed in 18 genera and 11 families. The caves in the Amazon biome had the highest number of species, followed by caves present in the Cerrado, Caatinga, transition areas (Atlantic Forest and Cerrado) and the Atlantic Forest. The caves in the Iron-ore lithology had the highest number of species, followed by the Limestone, Sandstone, Quartzite, Granite, Marble and Conglomerate caves. The anurans proved to be very diverse in Brazilian caves, with this high species richness related to the large amount of biomes and lithologies sampled. The family Leiuperidae had the highest richness and the species Scinax fuscovarius the highest frequency of occurrence in the caves. Also recorded were tadpoles and immature forms inside caves suggesting that not all the species are accidental, and that some species may be using these environments for shelter, protection, food and, even reproduction. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
20. Biomechanical risk factors for knee osteoarthritis when using passive and powered ankle–foot prostheses.
- Author
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Russell Esposito, Elizabeth and Wilken, Jason M.
- Subjects
- *
OSTEOARTHRITIS , *KNEE diseases , *AMPUTEES , *ANKLE , *BIOMECHANICS , *FOOT , *PROSTHETICS , *CASE-control method , *DISEASE risk factors - Abstract
Background Gait compensations following transtibial amputation negatively affect sound limb loading and increase the risk of knee osteoarthritis. Push-off assistance provided by new powered prostheses may decrease the demands on the sound limb. However, their effects in a young population in the early stages of prosthetic use are still unknown. The purpose of this study was to compare limb loading between 1. passive and powered ankle–foot prostheses, 2. sound and amputated limbs, and 3. individuals with amputations in the relatively early stages of prosthetic use and controls. Methods Ten young, active individuals with unilateral transtibial amputation and 10 controls underwent biomechanical gait analysis at three speeds. The peak external knee flexor and adductor moments, adductor moment's angular impulse, peak vertical ground reaction force and loading rate were calculated. Repeated measures ANOVAs compared between limbs, prostheses, and groups. Findings The powered prosthesis did not decrease the sound limb's peak adduction moment or its impulse, but did decrease the external flexor moment, peak vertical force and loading rate as speed increased. The powered prosthesis decreased the loading rate from controls. The sound limb did not display a significantly greater risk for knee osteoarthritis than the intact limb or than controls in either device. Interpretation In the early stages of prosthetic use, young individuals with transtibial amputation display few biomechanical risk factors for knee osteoarthritis development. However, a powered ankle–foot prosthesis still offers some benefits and may be used prophylactically to mitigate potential increases of these variables with continued prosthetic use over time. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
21. Virus Outbreaks in Chemical and Biological Sensors.
- Author
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Inseong Hwang
- Subjects
- *
FILAMENTOUS bacteriophages , *ANALYTICAL chemistry research , *BIOMIMETIC chemicals , *VIRION , *LIGANDS (Biochemistry) , *NANOPARTICLES - Abstract
Filamentous bacteriophages have successfully been used to detect chemical and biological analytes with increased selectivity and sensitivity. The enhancement largely originates not only from the ability of viruses to provide a platform for the surface display of a wide range of biological ligands, but also from the geometric morphologies of the viruses that constitute biomimetic structures with larger surface area-to-volume ratio. This review will appraise the mechanism of multivalent display of the viruses that enables surface modification of virions either by chemical or biological methods. The accommodation of functionalized virions to various materials, including polymers, proteins, metals, nanoparticles, and electrodes for sensor applications will also be discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
22. Abraham Lincoln.
- Abstract
Lincoln, Abraham (lĭng′kən), 1809–65, 16th President of the United States (1861–65). [ABSTRACT FROM PUBLISHER]
- Published
- 2021
23. Thomas Jefferson.
- Abstract
Jefferson, Thomas, 1743–1826, 3d President of the United States (1801–9), author of the Declaration of Independence, and apostle of agrarian democracy. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
24. Bill Clinton.
- Abstract
Clinton, Bill (William Jefferson Clinton), 1946–, 42d President of the United States (1993–2001), b. Hope, Ark. His father died before he was born, and he was originally named William Jefferson Blythe 4th, but after his mother remarried, he assumed the surname of his stepfather. After graduating from Georgetown Univ. (1968), attending the Univ. of Oxford as a Rhodes scholar (1968–70), and receiving a law degree from Yale Univ. (1973), Clinton returned to his home state, where he was a lawyer and (1974–76) law professor. In 1974 he was an unsuccessful Democratic candidate for the U.S. House of Representatives. Two years later, he was elected Arkansas's attorney general, and in 1978 he won the Arkansas governorship, becoming the nation's youngest governor. Defeated for reelection in 1980, he regained the governorship in 1982 and retained it in two subsequent elections. Generally regarded as a moderate Democrat, he headed the centrist Democratic Leadership Council from 1990 to 1991. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
25. George Washington.
- Abstract
Washington, George, 1732–99, 1st President of the United States (1789–97), commander in chief of the Continental army in the American Revolution, called the Father of His Country. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
26. Joseph Vissarionovich Stalin.
- Abstract
Stalin, Joseph Vissarionovich (stä′lĭn, Rus. vĭsəryô′nəvĭch stä′lyĭn), 1879–1953, Soviet Communist leader and head of the USSR from the death of V. I. Lenin (1924) until his own death, b. Gori, Georgia. His real name was Dzhugashvili (also spelled Dzugashvili or Djugashvili); he adopted the name Stalin (man of steel) about 1913. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
27. Jean Jacques Rousseau.
- Abstract
Rousseau, Jean Jacques (zhäN zhäk rōōsō′), 1712–78, Swiss-French philosopher, author, political theorist, and composer. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
28. Theodore Roosevelt.
- Abstract
Roosevelt, Theodore, 1858–1919, 26th President of the United States (1901–9), b. New York City. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
29. Franklin Delano Roosevelt.
- Abstract
Roosevelt, Franklin Delano (dĕl′ənō rō′zəvĕlt), 1882–1945, 32d President of the United States (1933–45), b. Hyde Park, N.Y. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
30. Біогеографія
- Author
-
Іщук, О. В., Світельський, М. М., Федючка, М. І., Матковська, С. І., Пінкіна, Т. В., Соломатіна, В. Д., Ishchuk, O., Svitelskyi, M., Fediuchka, M., Matkovska, S., Pinkina, T., Solomatina, V., Ищук, О. В., Свительский, Н. М., Федючка, Н. И., Матковская, С. И., Пинкина, Т. В., Соломатина, В. Д., Іщук, О. В., Світельський, М. М., Федючка, М. І., Матковська, С. І., Пінкіна, Т. В., Соломатіна, В. Д., Ishchuk, O., Svitelskyi, M., Fediuchka, M., Matkovska, S., Pinkina, T., Solomatina, V., Ищук, О. В., Свительский, Н. М., Федючка, Н. И., Матковская, С. И., Пинкина, Т. В., and Соломатина, В. Д.
- Abstract
У навчальному посібнику розглядаються основні питання біогеографії: біоми суші, флористичне, фауністичне і біотичне районування суші; районування Світового океану; питання ареології (хорології). Посібник призначений для студентів спеціальності 101 «Екологія», а також для викладачів біології, географії, екології., The schoolbook covers the main issues of biogeography: land biomes, floristic, faunistic and biotic land zoning; zoning of the oceans; issues of areology (chorology). The manual is intended for students of specialty 101 «Ecology», as well as for teachers of biology, geography, ecology., В учебном пособии рассматриваются основные вопросы биогеографии: биомы суши, флористическое, фаунистическое и биотическое районирования суши; районирование Мирового океана; вопрос ареологии (хорологии). Пособие предназначено для студентов специальности 101 «Экология», а также для преподавателей биологии, географии, экологии.
- Published
- 2019
31. Drought and fire, a natural part of savanna
- Author
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Kopp, Jan and Vobruba, Martin
- Subjects
didaktická transformace ,biome ,didactic transformation ,sucho ,misconception ,savana ,miskoncepce ,drought ,biom ,savanna - Abstract
Život savany je typickým příkladem biomu, v němž sucho a oheň určují přirozenou vývojovou dynamiku krajiny. Příspěvek předkládá doporučení pro didaktickou transformaci tématu ve školní výuce. Poukazuje na možné případy miskoncepcí mezi studenty. Savanna's life is a typical example when drought and fire determine the natural development dynamics of the landscape. This paper presents recommendations for the didactic transformation of the topic at school teaching. It points out possible cases of misconceptions among students.
- Published
- 2019
32. Biome Simulation with Machine Learning
- Author
-
Pintarić, Vedran and Jakobović, Domagoj
- Subjects
decision trees ,TEHNIČKE ZNANOSTI. Računarstvo ,genetski algoritam ,evolucija ,računalna grafika ,stabla odluke ,neural networks ,simulation ,simulacija ,biom ,strojno učenje ,machine learning ,simulacija fizike ,biome ,physics simulation ,TECHNICAL SCIENCES. Computing ,computer graphics ,evolution ,neuronske mreže ,genetic algorithm - Abstract
Rad uspored̄uje performanse neuronskih mreža i stabala odluke kao modela ponašanja za jedinke koje se nalaze u simuliranom 2D svijetu. Cijeli svijet i njegova pravila interakcije med̄u objektima unutar njega implementirana su i opisana u sklopu ovog rada. Modeli ponašanja optimiziraju se korištenjem generacijskog genetskog algoritma kojim se nastoji čim više približiti stvarnoj evoluciji iz prirode. Thesis compares the performances of neural networks and decision trees as behavior models for individuals which exist in a simulated 2D world. Whole world and its rules of interaction between the objects within it are implemented and described as a part of this thesis. Behavior models are optimized by using generational genetic algorithm which tries to mimic the real evolution found in nature.
- Published
- 2018
33. Clinical roles of soluble ST2 for the outcomes of cardiac valve operations
- Author
-
Robert J. Chen
- Subjects
medicine.medical_specialty ,Troponin T ,business.industry ,heart failure ,General Medicine ,030204 cardiovascular system & hematology ,medicine.disease ,ST2 ,biom ,03 medical and health sciences ,troponin-T ,0302 clinical medicine ,NT-proBNP ,Internal medicine ,Heart failure ,Cardiac valve ,Cardiology ,medicine ,Biomarker (medicine) ,biomarker ,lcsh:Q ,030212 general & internal medicine ,lcsh:Science ,business - Abstract
Soluble ST2 is a novel cardiac biomarker that reflects cardiac injury and the response to treatment. Previous studies showed that ST2 has less confounding and more specific than NT-proBNP. ACCF/AHA has proposed 2013 Guidelines for the Management of Heart Failure that includes ST2 in the recommendations. In the research proposal, we will assess the clinical role of serum ST2 level in cardiac non-coronary valve surgical patients. We will recruit 70 patients who undergo cardiac non-coronary valve operations. Serum levels of ST2 and NT-proBNP and troponin-T will be measured at preoperative baseline, postoperative 24 hours, and postoperative 5 to 10 days in the routine blood sampling. The endpoints include hospital mortality, all-cause mortality, unexpected ICU return, MACE, time to extubation, and total length of stay. We will also collect various preoperative, operative, and postoperative variables, such as EuroScore-II. Their relationships will be analyzed. We expect to demonstrate the superior role of ST2 to NT-proBNP and other variables in risk stratification and outcome prediction and assessment in our cohort.
- Published
- 2016
34. John Marshall.
- Abstract
Marshall, John, 1755–1835, American jurist, 4th chief justice of the United States (1801–35), b. Virginia. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
35. Martin Luther.
- Abstract
Luther, Martin, 1483–1546, German leader of the Protestant Reformation, b. Eisleben, Saxony, of a family of small, but free, landholders. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
36. Livingston.
- Abstract
Livingston, family of American statesmen, diplomats, and jurists. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
37. Leonardo da Vinci.
- Abstract
Leonardo da Vinci (də vĭn′chē, Ital. lāōnär′dō dä vēn′chē), 1452–1519, Italian painter, sculptor, architect, musician, engineer, and scientist, b. near Vinci, a hill village in Tuscany. The versatility and creative power of Leonardo mark him as a supreme example of Renaissance genius. He depicted in his drawings, with scientific precision and consummate artistry, subjects ranging from flying machines to caricatures; he also executed intricate anatomical studies of people, animals, and plants. The richness and originality of intellect expressed in his notebooks reveal one of the greatest minds of all time. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
38. Vladimir Ilyich Lenin.
- Abstract
Lenin, Vladimir Ilyich (lĕn′ĭn, Rus. vlədyē′mĭr ĭlyēch′ lyĕ′nĭn), 1870–1924, Russian revolutionary, the founder of Bolshevism and the major force behind the Revolution of Oct., 1917. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
39. Robert Edward Lee.
- Abstract
Lee, Robert Edward, 1807–70, general in chief of the Confederate armies in the American Civil War, b. Jan. 19, 1807, at Stratford, Westmoreland co., Va.; son of Henry (Light-Horse Harry) Lee. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
40. John Knox.
- Abstract
Knox, John, 1514?–1572, Scottish religious reformer, founder of Scottish Presbyterianism. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
41. John Fitzgerald Kennedy.
- Abstract
Kennedy, John Fitzgerald, 1917–63, 35th President of the United States (1961–63), b. Brookline, Mass.; son of Joseph P. Kennedy. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
42. Immanuel Kant.
- Abstract
Kant, Immanuel (ĭmän′ōōĕl känt), 1724–1804, German metaphysician, one of the greatest figures in philosophy, b. Königsberg (now Kaliningrad, Russia). [ABSTRACT FROM PUBLISHER]
- Published
- 2021
43. James Joyce.
- Abstract
Joyce, James, 1882–1941, Irish novelist. Perhaps the most influential and significant novelist of the 20th cent., Joyce was a master of the English language, exploiting all of its resources. His novel Ulysses, which is among the great works of world literature, utilizes many radical literary techniques and forms. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
44. Andrew Johnson.
- Abstract
Johnson, Andrew, 1808–75, 17th President of the United States (1865–69), b. Raleigh, N.C. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
45. Jesus (Jesus Christ).
- Abstract
Jesus or Jesus Christ (jē′zəs krīst, jē′zəz), 1st-century Jewish teacher and prophet in whom Christians have traditionally seen the Messiah [Heb.,=annointed one, whence Christ from the Greek] and whom they have characterized as Son of God and as Word or Wisdom of God incarnate. Muslims acknowledge him as a prophet, and Hindus as an avatar (see avatara). He was born just before the death of King Herod the Great (37 B.C.–4 B.C.) and was crucified after a brief public ministry during Pontius Pilate's term as prefect of Judaea (A.D. 26–36). [ABSTRACT FROM PUBLISHER]
- Published
- 2021
46. king of England James I.
- Abstract
James I, 1566–1625, king of England (1603–25) and, as James VI, of Scotland (1567–1625). James's reign witnessed the beginnings of English colonization in North America (Jamestown was founded in 1607) and the plantation of Scottish settlers in Ulster. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
47. John Adams, 2d President of the United States.
- Abstract
Adams, John, 1735–1826, 2d President of the United States (1797–1801), b. Quincy (then in Braintree), Mass., grad. Harvard, 1755. John Adams and his wife, Abigail Adams, founded one of the most distinguished families of the United States; their son, John Quincy Adams, was also President. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
48. Innocent III.
- Abstract
Innocent III, b. 1160 or 1161, d. 1216, pope (1198–1216), an Italian, b. Anagni, named Lotario di Segni; successor of Celestine III. Innocent III was succeeded by Honorius III. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
49. Herbert Clark Hoover.
- Abstract
Hoover, Herbert Clark, 1874–1964, 31st President of the United States (1929–33), b. West Branch, Iowa. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
50. Homer.
- Abstract
Homer, principal figure of ancient Greek literature; the first European poet. [ABSTRACT FROM PUBLISHER]
- Published
- 2021
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