1,722,305 research outputs found
Inhibition of various proteases by MAPI and inactivation of MAPI by trypsin
MAPI (microbial alkaline protease inhibitor) was isolated from culture broth of Streptomyces chromofuscus SMF28. The K(i) values of MAPI for the representative serine proteases such as chymotrypsin and proteinase K were 0.28 and 0.63 μM, respectively, and for the cysteine proteases cathepsin B and papain were 0.66 and 0.28 μM, respectively. These data indicate that MAPI is not a potent selective inhibitor of serine or cysteine proteases. Progress curves for the inhibition of three proteases by MAPI exhibited characteristic patterns: MAPI exhibited slow-binding inhibition of cathepsin B. It was rapidly associated with chymotrypsin before the addition of substrate and then reactivation of MAPI-inhibited enzyme was investigated in the presence of substrate. On the other hand, MAPI-proteinase K interaction was typical for those classical inhibitors. When MAPI was incubated with trypsin, there was an extensive reduction in the inhibitory activities of MAPI corresponding to 66.5% inactivation of MAPI, indicating that trypsin- like protease may play a role in the decrease of the inhibitory activity during cultivation.open
Demostraciones de Aplicaciones: MAPI-CAT
Presentación "MAPI-CAT" en la Reunión CUDI Otoño 2011René Luna García y Fabiola Ruiz presentan sobre el proyecto MAPI-CAT, la función del software, su aplicación y evaluación del mismo.33_CDUR11_MAPICAT_LunaR.mo
Panama Canal 2009
Title and legends in Spanish and English.
Includes 2 inset maps, 2 inset views, profile of the system of locks, text and ill. indexed to map.
Includes tourist information, illustrations, location map and 2 profile views: "transversal view of the Panama Canal," "Third set of Locks - Frontal view" on verso.Color
Demostraciones de Aplicaciones: MAPI-CAT
Presentación "MAPI-CAT" en la Reunión CUDI Otoño 201
MAPI METHODE VOOR ANALYSE BEDRIJFSINVESTERINGEN
MAPI METHODE VOOR ANALYSE BEDRIJFSINVESTERINGE
Mapping Averaged Pairwise Information (MAPI): A new exploratory tool to uncover spatial structure
Visualisation of spatial networks based on pairwise metrics such as (dis)similarity coefficients provides direct information on spatial organisation of biological systems. However, for large networks, graphical representations are often unreadable as nodes (samples), and edges (links between samples) strongly overlap. We present a new method, MAPI, allowing translation from spatial networks to variation surfaces. MAPI relies on (i) a spatial network in which samples are linked by ellipses and (ii) a grid of hexagonal cells encompassing the study area. Pairwise metric values are attributed to ellipses and averaged within the cells they intersect. The resulting surface of variation can be displayed as a colour map in Geographical Information System (GIS), along with other relevant layers, such as land cover. The method also allows the identification of significant discontinuities in grid cell values through a nonparametric randomisation procedure. The interest of MAPI is here demonstrated in the field of spatial and landscape genetics. Using simulated test data sets, as well as observed data from three biological models, we show that MAPI is (i) relatively insensitive to confounding effects resulting from isolation by distance (i.e. over-structuring), (ii) efficient in detecting barriers when they are not too permeable to gene flow and, (iii) useful to explore relationships between spatial genetic patterns and landscape features. MAPI is freely provided as a PostgreSQL/PostGIS data base extension allowing easy interaction with GIS or the r software and other programming languages. Although developed for spatial and landscape genetics, the method can also be useful to visualise spatial organisation from other kinds of data from which pairwise metrics can be computed
Re: enjoyed presentation at "MAPI meeting.--Correspondence
Re: enjoyed presentation at "MAPI meeting." Mentions a navy value analysis film. Reply from L. D. Miles
MaPI : um framework para paralelização de algorítimos.
Este trabalho apresenta o MaPI, um framework que implementa a abstração MapReduce na linguagem C++. Ao utilizar o MaPI, o usuário e´ capaz de implementar uma aplicação paralela sem se preocupar com a forma de comunicação entre os processos ou como o sistema fará a paralelização. Além disso, toda a implementação feita pelo usuário pode ser sequencial. Para ilustrar o funcionamento do framework , este foi usado na paralelização de um algoritmo heurístico de otimização aplicado a um problema clássico de otimização, o Problema do Caixeiro Viajante. Os resultados obtidos comprovam a eficiência do framework como ferramenta de auxílio ao desenvolvimento de procedimentos paralelos de otimização.This paper introduces MaPI, a framework that implements the MapReduce abstraction. Using MaPI, the user is
able to implement parallel applications without worrying about the messages transmission between the processes, or how the system will do the parallelization. Furthermore, all the implementation made by the user can be sequential. In order to demonstrate how the framework works, it is used to parallelize an optimization heuristic algorithm applied to a classical optimization problem, the Traveling Salesman Problem. The results show the efficiency of the framework as a tool to help the development of parallel optimization procedures
Computer simulation of ionic diffusion in MAPI perovskite
Since 2013 a new form of solar cells based on hybrid organic-inorganic perovskite materials started to become a major topic the field of photovoltaics. The most common material is theCH3NH3PbI3, known as MAPI. This type of solar cells material has increased the photoconversion efficiency from 12% to 21% in only seven years, making it one of the fastest-growing efficiency of all solar cells. However, under working conditions, the MAPI material tends to break down over time much faster than others. The degradation is caused by several effectss, such as temperature and ionic migration. The author of this thesis performed a number of simulations of the motion of negative iodine ions (or iodides) inside MAPI, using the the LAMMPS software with MYP potential. The thesis includes an overview of the MAPI material for solar cells, of the molecular dynamics method applied to this material, and some results of the present research. The goal of this research is to identify possible migration patterns of the ions through the defects within the system. The defects refer to an under-coordinatedPb atom (or vacancy) in the structure and grain boundaries. The motion of the ion or of the vacancy was observed, and the mean squared displacement (MSD) was analyzed. An iodide was added or eliminated to and from the structure, respectively. Vacancies were also created by displacing one or more iodides away from their original sites, and two recombination processes were identified: a direct recombination between a displaced iodide and avacancy, and a chain reaction, when the free iodide binds to a complete cell and pushes another iodide nearby into the vacancy. Then, a granular configuration of MAPI was considered, and the migration of the iodide along the grain boundary was observed.Nýjar gerðir sólarhlaða, byggðar á blöndu lífrænna og ólífrænna efna með svokallaða perovskite byggingu komu fyrst fram á sjónarsviðið 2013. Áhugi á slíkum gerðum sólarhlaðahefur vaxið mjög hratt og er þróun þeirra orðið eitt aðal áhersluatriðið innan sviðsins. Al-gengasta efnið í þessi perovskite sólarhlöð er CH3NH3PbI3 (methyl ammonium lead iodide,eða MAPI). Á aðeins sjö árum hefur nýtni þeirra aukist úr 12% í 21%, sem er með hröðustuframförum í nokkurri gerð sólarhlaða. Það sem heldur helst aftur af víðtækri notkun MAPI erað það brotnar mun hraðar niður en aðrar gerðir og endingartími þeirra er tiltölulega stuttur.Niðurbrotið stafar einkum af áhrifum hitastigs og færslu jóna. Höfundur þessarar ritgerðarframkvæmdi fjölda tölvuhermana af hreyfingu neikvæðra joð-jóna (eða joðíðs) innan MAPIbyggingar með svokölluðum LAMMPS hugbúnaði með MYP stöðuorkufalli. Í ritgerðinni erumfjöllun um möguleg efni í MAPI efni sólarsellur, sameinda-hreyfifræðilegar aðferðir sembeitt var og helstu niðurstöður. Markmiðið með þessum rannsóknum er að bera kennsl ámögulegt flæði-mynstur jóna í gegnum kristallagalla innan hlaðsins. Gerðir galla sem voruskoðaðir eru tilfærð Pb atóm/jónir, eyðuveilur og kornamörk. Fylgst var með hreyfingu jó-nanna eða eyðuveilanna og meðalfrávik voru greind. Skoðuð voru áhrif þess að bæta joðíðivið kristallabygginguna eða fjarlægja úr henni. Eyðuveilur voru einnig búnar til með því aðhliðra einu eða fleiri joðíði úr sæti sínu í því markmiði að skilgreina samruna atómsins/jó-narinnar og eyðuveilunnar. Tvö mismunandi samrunaferli voru greind: annarsvegar beinnsamruni tilfærðs joðíðs og eyðuveilar, og hinsvegar keðjuhvarf þar sem tilfært jóðíð binstannarri eingasellu og ýtir nálægu joðíði úr sæti sínu yfir í eyðuveiluna. Ennfremur var tekinfyrir kornótt MAPI-bygging og færsla joðíðs á kornamörkunum skoðuð.The research included in this thesis was supported by the Icelandic Student InnovationFund, by the National Power Company of Iceland (Landsvirkjun) via the Sustainability Institute and Forum of Reykjavik University, and by the EEA Grants 2014–2021, under PProject contractno. 36/2021
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