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Search Results: 1 - 10 of 3322 matches for " Samanta Cardozo;Bueno "
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Efeito da concentra??o do amido de milho na libera??o de paracetamol de comprimidos
Castro, Ana Dóris de;Vicente, Joice Alessandra;Mour?o, Samanta Cardozo;Bueno, José Hamilton Ferreira;Evangelista, Raul Cesar;Gremi?o, Maria Palmira Daflon;
Revista Brasileira de Ciências Farmacêuticas , 2003, DOI: 10.1590/S1516-93322003000300008
Abstract: this paper describes the influence of maize starch concentration on the physical characteristics and on in vitro release of acetaminophen from compressed tablets. the granulates were analyzed in relation to size distribution and bulk and compacted densities, and the tablets in relation to mean weight, thickness, hardness, friability and disintegration time. the tablets were prepared from granulates made by wet granulation with 10% starch paste in three formulations. although the tablets obtained have presented characteristics in accordance with pharmacopeial limits, the results indicate that variations on starch concentration cause differences on the several physical parameters studied. higher starch concentration probably originates an interaction among the ingredients of the formulations, interfering on the in vitro drug release.this fact demonstrates the importance in optimizing the concentration of the adjutants in a tablet formulation, because, although a short variation in this concentration has no significant effect on disintegration time, the amount of released drug can be substantially modified.
Remote Sensing and GIS Application on Forest Resource Mapping and Monitoring in Bulolo District, Morobe Province  [PDF]
Wilson Kumne, Sailesh Samanta
Journal of Geoscience and Environment Protection (GEP) , 2019, DOI: 10.4236/gep.2019.72003
Abstract: Forest resources monitoring are particularly challenging for tropical forest due to their diverse composition and structure and a wide range of stakeholder’s expectations and requirement. New monitoring approaches and control policies directions are required to meet these different challenges. For the past decades, much of the focus of formal forest monitoring and management policy in Papua New Guinea (PNG) has been on large scale conventional harvesting to meet national requirements for economic development, with little attention given to community or small area forest management and monitoring. The current management is considered to be unsustainable and, as forest resources from primary forests are exhausted. This has resulted in extensive cutover forest areas being left to degrade over time. Forest reserve has suffered seriously and if the present trend of deforestation continues; it is just a matter of time when the whole reserve would have been converted to a bare ground. This study therefore examined the integration of remote sensing (RS) and geographic information system (GIS) application on forest resource mapping and monitoring in Bulolo district, Morobe province. Landsat satellite imageries for 1992, 2002 and 2014 were used to classify and identify forest changes through change detection techniques. A GIS database of land use categories and their location within 24 years (1992-2014) were generated and analysed with the aid of GIS analytical functions. This function includes area calculation, overlay, and image differencing, supervised classifications, cross tabulations and map representation. The result shows that population growth (anthropogenic) factors among communities around the natural forest imposes a lot of pressure on the natural forest resources. This should also include consideration of the future usage capacity of the forest resources as well as development of the capacity of local forest owner communities to participate in small scale forest management and utilization.
Five Dimensional Bianchi Type-I String Cosmological Models in Lyra Manifold  [PDF]
Gauranga Charan Samanta, Smrutirekha Debata
Journal of Modern Physics (JMP) , 2012, DOI: 10.4236/jmp.2012.32024
Abstract: In this paper we have constructed five dimensional Bianchi type-I cosmological model generated by a cloud of string with particles attached to them in Lyra manifold. Out of the two different cases, we obtained one case leads to the five dimensional vacuum universe in Lyra manifold while the other case yields a string cosmological model in Lyra manifold. Some physical and geometrical properties of the models are briefly discussed.
Spatial Analysis of Renewable Energy in Papua New Guinea through Remote Sensing and GIS  [PDF]
Sailesh Samanta, Sammy S. Aiau
International Journal of Geosciences (IJG) , 2015, DOI: 10.4236/ijg.2015.68069
Abstract: Electrification and sustainable energy uses are increasing in Papua New Guinea (PNG) over the last few decades. The bulk of PNG’s population (85%) lives in isolated and dispersed villages in the rural areas. Most of these isolated and dispersed areas are still yet to be connected to an electricity supply.Papua New Guinea (PNG) is richly endowed with natural resources, but exploitation has been hampered by rugged terrain, land tenure issues, and the high cost of developing infrastructure. The study is focused on mapping of enriched renewable energy zones of the entire country. Different variables related to renewable, like surface albedo index, earth skin temperature, solarinsolation incident, and wind speed are used for this purpose. Three interpolation approaches,like inverse distance weighted averaging, thin-plate smoothing splines, and kriging, are evaluated to interpolate all variables. Rating and weight sum overlay operation is applied to derive potentialrenewable energy zones in this equatorial country. Results show that potential renewable energy distribution is high in Papua New Guinea on the March and September equinoxes. Yearly average distribution of renewable energy source variables is significantly higher in most areas of Manus, NewIreland, North Solomon, West New Britain, Northern, Central and Milne Bay; a larger portion of East New Britain; the northern part of West and East Sepik, Central, Morobe and eastern part of Madang province. The potential renewable energy distribution data can help to establish sustainable energy production in the country.
Sensitivity to neutrino mixing parameters with atmospheric neutrinos
Samanta, Abhijit
High Energy Physics - Phenomenology , 2008, DOI: 10.1103/PhysRevD.80.113003
Abstract: We have analyzed the atmospheric neutrino data to study the octant of $\theta_{23}$ and the precision of the oscillation parameters for a large Iron CALorimeter (ICAL) detector. The ICAL being a tracking detector has the ability to measure the energy and the direction of the muon with high resolution. From bending of the track in magnetic field it can also distinguish its charge. We have generated events by Nuance and then considered only the muons (directly measurable quantities) produced in charge current interactions in our analysis. This encounters the main problem of wide resolutions of energy and baseline. The energy-angle correlated two dimensional resolution functions are used to migrate the energy and the zenith angle of the neutrino to those of the muon. A new type of binning has been introduced to get better reflection of the oscillation pattern in chi-square analysis. Then the marginalization of the $\chi^2$ over all parameters has been carried out for neutrinos and anti-neutrinos separately. We find that the measurement of $\theta_{13}$ is possible at a significant precision with atmospheric neutrinos. The precisions of $\Delta m_{32}^2$ and $\sin^2\theta_{23}$ are found $\sim$ 8% and 38%, respectively, at 90% CL. The discrimination of the octant as well as the deviation from maximal mixing of atmospheric neutrinos are also possible for some combinations of ($\theta_{23}, ~\theta_{13}$). We also discuss the impact of the events at near horizon on the precision studies.
A comparison of the sensitivities of the parameters with atmospheric neutrinos for different analysis methods
Samanta, Abhijit
High Energy Physics - Phenomenology , 2008, DOI: 10.1103/PhysRevD.79.053011
Abstract: In the atmospheric neutrino experiments the primary problems are the huge uncertainties of flux, very rapid fall of flux with increase of energy, the energy dependent wide resolutions of energy and zenith angle between true neutrinos and reconstructed neutrinos. These all in together make the choice of binning of the data for chi-square analysis complicated. The large iron calorimeter has the ability to measure the energy and the direction of the muon with high resolution. From the bending of the track in the magnetic field it can also distinguish its charge. We have analyzed the atmospheric neutrino oscillation generating events by Nuance and then considering the muons produced in the charge current interactions as the reconstructed neutrinos. This practically takes into account the major problem of wide resolutions. We have binned the data in three ways: i) in the grids of $\log E -\log L$ plane, ii) in the grids of $\log E -\cos\theta_{\rm zenith}$ plane, and iii) in the bins of $\log (L/E)$. We have performed a marginalized $\chi^2$ study over $\Delta m_{32}^2, ~\theta_{13}$ and $\theta_{23}$ for neutrinos and anti-neutrinos separately for each method and finally compared the results.
In the Literature
Tania Samanta
University of Toronto Medical Journal , 2001, DOI: 10.5015/utmj.v79i1.939
Abstract:
Late recurrent uveitis after phacoemulsification.
Samanta Tapan
Indian Journal of Ophthalmology , 2004,
Abstract:
An Approach to Neural Network Based Pattern Classifier for Printed Bengali Characters
sabyasachi samanta
International Journal of Artificial Intelligence & Knowledge Discovery , 2011,
Abstract: In this paper, we have designed a Neural Network based pattern classifier for recognizing Bengali printed characters. Here view-based approach is used for extracting features from individual characters and a neural network based classifier is built to analyze the performance of the view-based approach in various experimental setups. Different Bengali character samples have been taken and whole image of individual character is considered for view based analysis. The characteristic points are extracted from the characters using left-right view based approach. These points are then used to form a feature vector which represents the given character. Multi-Layer Perceptrons Neural network has been used and it was trained by back propagation algorithm to create this recognition engine. Internal shape of each character has been considered to generate the feature vector for individual images.
Towards Algorithmic Synthesis of Synchronization for Shared-Memory Concurrent Programs
Roopsha Samanta
Electronic Proceedings in Theoretical Computer Science , 2012, DOI: 10.4204/eptcs.84.2
Abstract: We present a framework that takes a concurrent program composed of unsynchronized processes, along with a temporal specification of their global concurrent behaviour, and automatically generates a concurrent program with synchronization ensuring correct global behaviour. Our methodology supports finite-state concurrent programs composed of processes that may have local and shared variables, may be straight-line or branching programs, may be ongoing or terminating, and may have program-initialized or user-initialized variables. The specification language is an extension of propositional Computation Tree Logic (CTL) that enables easy specification of safety and liveness properties over control and data variables. The framework also supports synthesis of synchronization at different levels of abstraction and granularity.
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