41 research outputs found
On a group of the Form 210:(U5(2):2)
No full textThe full automorphism group U5(2):2 of the special unitary group U5(2) has a 10-dimensional absolutely irreducible module over GF(2): Hence a split extension of the form G = 210:(U5(2):2) does exist. In this paper we first determine the conjugacy classes of G using the coset analysis technique. The structures of the inertia factor groups were determined. These are the groups U5(2):2; 21+6:((31+2:8):2) and O5(2):2. We then determine the Fischer matrices and apply the Clifford-Fischer theory to com-pute the ordinary character table of G: The Fischer matrices Fi of G are all Z-valued, with sizes range between 1 and 5. The full character table of G; which is 109 x 109 C-valued matrix is available in the PhD Thesis [1] of the rst author, which could be accessed online
Correction to: Polymer Nanocomposites in Biomedical Engineering
No full textIn the original version of the book, the following belated corrections have been incorporated: The co-editor names ''Basheer Ahmed'' has been changed to ''M. Basheer Ahamed'' and ''Al-Maadeed Mariam Ali S A'' has been changed to ''Mariam Ali S A Al-Maadeed''.
In chapter ''Silver Nanoparticles and Its Polymer Nanocomposites Synthesis, Optimization, Biomedical Usage, and Its Various Applications'', the author name ''Snehal Kargirwar Bramhe'' has been changed to ''Snehal Kargirwar Brahme'' and the affiliations of authors ''Snehal Kargirwar Brahme'' and ''Subhash Kondawar'' were swapped. The correction book has been updated with the changes.Scopu
SOLVENT EFFECTS ON IR MODES OF (R)-3-METHYLCYCLOPENTANONE CONFORMERS: A COMPUTATIONAL INVESTIGATION
No full textAuthor Institution: Physics Department, King Fahd University of Petroleum and Minerals, Dhahran 31261 Saudi ArabiaDensity Functional Theory (DFT) calculations of infrared spectra for the optimized geometries of R-(+)-3-methylcyclopentanone (R3MCP) equatorial-methyl and axial-methyl conformers were performed in 11 common solvents of wide polarity range, in the framework of polarizable continuum model (PCM). DFT correlation function type B3LYP using a powerful basis set (aug-cc-pVDZ) yielded different linear correlation between solvent polarity and R3MCP equatorial and axial conformers IR modes frequencies, intensities, and enthalpies (W. Al-Basheer, J. Sol. Chem. 41, 1495-1506 (2012)). DFT calculations of the R3MCP equatorial and axial conformer dipole moment components in 3D were also carried out and found to have a linear correlation with solvent polarity (W. Al-Basheer et al, J. Phys. Chem. A 111(12), 2293-2298 (2007)). An observed trend for a Hypsochromic (blue) shift in the equatorial conformer IR frequencies, in comparison to Bathochromic (red) shift for the axial-methyl conformer IR modes as a function of solvent polarity increase
A hybrid modified group method of data handling with the wavelet decomposition for oil palm price forecasting
No full textThis thesis presents an exploratory study on hybrid modelling of palm oil price forecasting using modified group method of data handling (GMDH) network with the discrete wavelet transform (DWT) approach. Despite the fact that Malaysia is one of the largest producer and exporter of palm oil, the research on modelling of palm oil price forecasting is still in progress. This study comprises by exploring the appropriate models for forecasting the monthly palm oil price such as conventional GMDH, modified GMDH and hybrid wavelet modified GMDH models. To assess the effectiveness of these models, monthly crude palm oil (CPO) price of Malaysia from January 1983 until November 2019 and Pakistan from September 2001 until June 2019 were used as sample study. The study shows that modified GMDH model, which integrates four transfer functions such as radial basis, sigmoid, tangent and polynomial simultaneously into GMDH, has given the best fit for modelling of palm oil price forecasting as compared to conventional GMDH model. However, the individual model is not best every time to achieve the better results. In improving the model, this study explores a hybrid wavelet modified GMDH model. The architecture of the proposed hybrid model includes DWT, which is selected as a preprocessed clean and pure data enabling the modified GMDH network to present itself as a well-established alternative application to predict the future of CPO. The proposed hybrid model has been applied to different CPO data sets and verified using simulation of different splits of model input data series. Comparative studies among various models were carried out. The mean absolute percentage error (MAPE) of the proposed hybrid model for the monthly CPO price of Malaysia is less than 4 % and coefficient of correlation (R) is 0.99, which show an excellent fit as compared to the individual and other benchmark models. Similarly, the MAPE of hybrid model for Pakistan imports monthly CPO is less than 14 % and R is 0.94, which show good fit as compared to the individual and other benchmark models. The results have demonstrated that the proposed hybrid model is a better alternative model for crude palm oil price forecastin
Forecasting of crude palm oil price using hybridizing wavelet and group method of data handling model
No full textForecasting of Crude Palm Oil (CPO) is one of the most important and the largest vegetable oil traded in the world market. This study investigates the forecasting of Crude Palm Oil (CPO) price using a hybrid model of Group Method of Data Handling (GMDH) with wavelet decomposition. The original monthly data of CPO time series were decomposed into the spectral band. After that, these decomposed subseries were given as input time series data to GMDH model to forecast the CPO price of monthly time series data. The result performance of hybridized GMDH model is compared with the original GMDH model. The measurements results from the mean absolute error (MAE) and the root mean square error (RMSE) showed that the hybrid GMDH model with wavelet decomposition gives more accurate result of predictions compared with the original GMDH model.</jats:p
Simplicity and Beauty in Basheer’s The Inheritors of Earth
No full textVaikom Muhammed Basheer is a notable writer of Malayalam literature. His works are always close to nature. People can easily identify his works because of their lucid language and their inclination to nature. In his work, ‘Bhoomiyude Avakashikal’ (The Inheritors of Earth), the author tries to talk about the need of considering the animals and birds around us because they are also a part of our earth. Basheer sheds light on the truth that the entire species in this world have the same rights that man holds. Each and every living being has the equal right to live and enjoy their surroundings as human beings. If we don’t protect our nature - the vegetation and biodiversity around us - we have no future
Assessing the potential impacts of climate change on current coastal ecosystems—A Canadian case study
No full textUnderstanding how climate change affects coastal ecosystems is one of the most important elements in determining vulnerability and resilience for long-term ecosystem management in the face of the increasing risk of coastal hazards (e.g., sea level rise, coastal flooding, and storm surge). This research attempts to undertake a study on the ecosystem–climate nexus in the Canadian province of Prince Edward Island (PEI). Cloud-based remote sensing techniques with Google Earth Engine (GGE) are utilized to identify ecosystem changes over time. In addition, the effects of coastal flooding and storm surge ecosystems under different climate scenarios are examined. The results suggest a reduction in the forest (3%), open water or marsh component (9%), salt water (5%), no open water or marsh component (3%), and salt or brackish marsh (17%) ecosystems from 2013 to 2022. Dune and beach exhibit a non-uniform distribution across the period because of variations in natural processes, with an upward trend ranging from 0% to 11%. Approximately 257 km2 (9.4%) of PEI’s ecosystems would be affected by extreme coastal flooding (scenario 4), compared to 142 km2 (5.2%), 155 km2 (5.7%), and 191 km2 (7%) in scenarios 1, 2, and 3, respectively. Under a 4 m storm surge scenario, around 223 km2 (8.2%) of PEI’s ecosystems would be flooded, compared to 61 km2 (2.2%), 113 km2 (4.1%), and 168 km2 (6.1%) under 1 m, 2 m, and 3 m scenarios, respectively. The findings from this research would enable policymakers to take necessary actions to sustain ecosystem services in PEI while confronting the impacts of climate change
Climate change impacts on global potato yields: A review
No full textPotatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate
Spatiotemporal trends in temperature and precipitation for Prince Edward Island over 1971–2020
No full textClimate change has been attracting significant attention in Canada lately. This study investigates spatiotemporal air temperature and precipitation changes by developing high-resolution (i.e., 1 m × 1 km grid) climate maps from 1971 to 2020. The climate monitoring data are collected and synthesized from various sources, and then used to develop high-resolution climate maps with state-of-the-art spatial interpolation methods. The error metrics results show that the inverse distance weighting method performs the best for air temperature and precipitation and thus is used in this study. Significant temporal trends show that the annual mean temperature increased by 0.03 °C/year in western and eastern Prince Edward Island (PEI), covering 62.75% of PEI area. Similarly, the annual precipitation has decreased by around 4.8 mm/year in Prince County and eastern parts of Queens and Kings Counties, covering 62.81% of PEI area. In growing season, temperature has increased by 0.05 °C/year and precipitation is decreased by 2.1 mm/year in Prince County. This information illustrates the dynamics of temperature and precipitation toward the changing climate
A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification
No full textEarth-observing satellites have become essential in comprehending human impacts on the landscape. Satellite-based imagery is indispensable for mapping Earth's features, managing resources, and studying environmental changes. Readily available remote sensing data with improved radiometric, spectral, spatial, and temporal resolution presents opportunities for advanced data analysis. Precise and accurate land use land cover (LULC) information is essential for the surveillance of environmental conditions and the effective management of natural resources. This research assesses the performance of PlanetScope product SuperDove sensor (PSB.SD), having two different band combinations, including 4-band (Red, Blue, Green and Near-Infrared (NIR)) and 8-band (Blue, Green II, Red, NIR, Coastal Blue, Green, Yellow, Red-Edge) imagery in ArcGIS Pro for the month of July 2021. Four different supervised classifiers, including support vector machine (SVM), k-nearest neighbours (KNN), random forest (RF), and maximum likelihood (ML) classifiers. This study was carried out for the three major areas, i.e., City of Summerside, City of Charlottetown, and Town of Three Rivers in Prince Edward Island (PEI), Canada and LULC classification scheme consists of six major classes, which include Agriculture, Forest, Vegetation, Bare Land, Urban and Water bodies. For accuracy assessment, overall accuracy as well as kappa coefficient were estimated to identify the most accurate combination of LULC classifier and different band combination imagery from PlanetScope. Results show that the highest overall accuracy of 0.94 for Town of Three Rivers and 0.93 for City of Summerside and City of Charlottetown were observed using 8-band imagery with SVM classifier. The lowest overall accuracy of 0.78 for Town of Three Rivers, 0.83 for City of Charlottetown, and 0.82 for City of Summerside was observed using 4-band imagery using ML classifier. Further, the SVM classifier performs well in accuracy with 8-band imagery of PlanetScope, showcasing its potential in LULC classification compared to previous PlanetScope 4-band imagery
