35 research outputs found
Mechanisms and pathophysiology of mitral valve regurgitation
No full textThe mitral valve (MV) is a sophisticated natural engineering marvel. The MV requires coordinated action of all its interrelated anatomical components: The MV leaflets, the annulus, the left atrium, the tendinous chords and the papillary muscles with its surrounding left ventricular wall for an effective closure of its orifice. Mitral valve regurgitation (MR) is frequently found in patients undergoing cardiac surgery with cardiopulmonary bypass. MR can be secondary to a structural or a functional defect of one or several components of the MV. The mechanism(s) of functional MR is the most complex. A precise understanding of the pathophysiology of MR helps resolving the cardiac status of a patient and choice of therapy for a particular patient. Transesophageal echocardiography can define the underlying mechanism(s) of MR; a thorough understanding of the mechanism(s) helps deciding the surgical procedure needed to repair the MR. In this article, the author reviews the mechanisms and pathophysiology of MR
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
No full textCloud detection of remote sensing imagery is quite challenging due to the influence of complicated underlying surfaces and the variety of cloud types. Currently, most of the methods mainly rely on prior knowledge to extract features artificially for cloud detection. However, these features may not be able to accurately represent the cloud characteristics under complex environment. In this paper, we adopt an innovative model named Fuzzy Autoencode Model (FAEM) to integrate the feature learning ability of stacked autoencode networks and the detection ability of fuzzy function for highly accurate cloud detection on remote sensing imagery. Our proposed method begins by selecting and fusing spectral, texture, and structure information. Thereafter, the proposed technique established a FAEM to learn the deep discriminative features from a great deal of selected information. Finally, the learned features are mapped to the corresponding cloud density map with a fuzzy function. To demonstrate the effectiveness of the proposed method, 172 Landsat ETM+ images and 25 GF-1 images with different spatial resolutions are used in this paper. For the convenience of accuracy assessment, ground truth data are manually outlined. Results show that the average RER (ratio of right rate and error rate) on Landsat images is greater than 29, while the average RER of Support Vector Machine (SVM) is 21.8 and Random Forest (RF) is 23. The results on GF-1 images exhibit similar performance as Landsat images with the average RER of 25.9, which is much higher than the results of SVM and RF. Compared to traditional methods, our technique has attained higher average cloud detection accuracy for either different spatial resolutions or various land surfaces
Electro-extraction of Alcohol Dehydrogenase from Baker’s Yeast using Aqueous Two-phase Systems
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Hardware Implementation of Blowfish Algorithm for the Secure Data Transmission in Internet of Things
No full textAbstractAs Internet of Things (IoT) can be broadly used in many fields, the security of IoT is gaining importance. In IoT, all the devices are connected. If a hacker manages to enter the network, he may access confidential datas. So for IoT, an information transmission security mechanism is essential in addition to the authentication mechanism. Beginning with the concept of IoT, its architecture and security issues, this paper analyzes various security mechanisms for IoT and the significance of cryptography in IoT. An efficient cryptographic algorithm “Blowfish” is selected based on several comparisons. A modification in Blowfish algorithm is presented by changing its Function module ‘F’. Comparison of original and modified blowfish algorithm is done by implementing both in Xilinx Virtex-5 XC5VLX50T FPGA using Verilog HDL and found that modified algorithm is efficient than the original in terms of encryption time by 16.9% and throughput by 18.7%
On the absurdity of rapid urbanization: Spatio-temporal analysis of land-use changes in Morogoro, Tanzania
No full textThis study questions the frequent overemphasis on population growth aspects of African urbanization with little consideration of the spatial extent by analyzing the influence of population growth on the spatial expansion of the Morogoro urban municipality (MUM) in Tanzania between 2000 and 2016. Shannon's Entropy, a random forest supervised classifier, and spatial analysis were adopted to analyze Multi-temporal Landsat images obtained through the Google Earth Engine platform to quantify the spatial and temporal distribution and pattern of land-use change. Findings from this research show that Shannon's entropy values for MUM increased from 0.522 in 2000, to 0.761 in 2007, and to 0.901 in 2016 with the urban land cover recording a considerable and consistent increase. Similarly, the municipality's annual rate of change in population decreased from 4.17% in 1967 to 3.81% in 2016, and is estimated to rise to 4.54% by 2030 with a corresponding population of 25,262 in 1967 and 622,000 in 2016. From the results, the rate of population growth is not commensurate with the rate of spatial expansion, as the spatial extent is more than twice the population growth. An important contribution from this research relates to the limited attention to the faster rate of urban expansion compared to population
growth in African cities; a situation that is inconsistent with sustainable and resilient urban futures. It is recommended
that municipal authorities should consider initiatives (e.g., environmental planning models) to
reverse the current trend of urban growth in order to improve the health, density, sustainability and resilience of
the urban environment
Pattern analysis of substandard and inadequate distribution of educational resources in urban–rural areas of Abbottabad, Pakistan
No full textDespite an extensive system of public schools, Abbottabad, Pakistan has a chronically low literacy rate. A factor contributing to these low literacy rates might be a spatial mismatch between public schools and dense settlements in fast-growing urban
and semi-urban areas of this municipal region. To test this proposition, the locations of 153 public schools were collected using hand-held GPS devices to create a geo-database, and a road network was created from the open street map and Google imagery. Nearest neighbor, K-function, Spearman’s Rho, and directional analyses were applied to this data to overcome the limitations of sparse geospatial data. A point pattern analysis shows that more than 50% of secondary schools were clustered south of the city while most of the built-up area was in the north. Localizing Geospatial data, spatial restructuring, and reorganization of schools in the study area would support rational
planning and enhance student access to school facilities
A combination of remote sensing and social media data for assessing urban sprawl in morogoro, Tanzania
No full textAbstract: Please refer to full text to view abstract
Geospatial Distribution and Accessibility of Primary and Secondary Schools: A case of Abbottabad City, Pakistan
No full textQuality education in isolated areas is a major issue in developing countries like Pakistan, as access to formal education is linked to improved life prospects for rural students. Among the factors for education, accessibility is school availability within a minimum spatial distance. The spatial distribution of schools is generally uneven in most of the cities of Northern Pakistan, thus limiting access to formal education at the primary and secondary level. This paper analyzes the spatial distribution of the primary and secondary schools found in the hilly terrain of Abbottabad city. Results show an uneven scattered pattern of schools and decreasing accessibility with longer travel times, at higher costs. Cost-weighted distance showed that this spatial distribution extends the travel distance by more than 5km for secondary school students living in the city. However, spatial restructuring and reorganization of schools in the study area would enhance student access to school facilities
A Geospatial Approach to Sustainable Urban Planning: Lessons for Morogoro Municipal Council, Tanzania
No full textSustainable urban planning is essential in mediating the natural and built environments
globally, yet, there is little progress as regards its attainment in developing countries. Rapid and unplanned urbanization continue to threaten the sustainability of many cities in Africa. By selecting Morogoro Municipal Council (MMC) in Tanzania as an example, this study applied well-known remote sensing techniques to understand the dynamics of urban growth and the implications for sustainable urban planning. The study analyzes spatio-temporal characteristics for eighteen years (2000–2018) based on urban land density using gradient and grid-based analysis to further examine land use and urban land density nexus. The results indicate declining urban land densities with distance to the city center, indicating a less compact and fragmented development at the urban fringes; and northward development with limited development to the south of MCC. The knowledge and understanding of the patterns of spatio-temporal conditions, land use planning, and management interventions in MMC are necessary for addressing the inadequacies associated with rapid urbanization within the study area. On this basis, we propose a shift from the modernist to the communicative planning strategy that strongly integrates the urban social, economic, and environmental imperatives, while being adaptable to evolving realities. This plan should also aim to curtail urban sprawl and create a viable city system and economically prosperous city structure for MMC
A Geospatial Approach to Sustainable Urban Planning: Lessons for Morogoro Municipal Council, Tanzania
No full textSustainable urban planning is essential in mediating the natural and built environments
globally, yet, there is little progress as regards its attainment in developing countries. Rapid and unplanned urbanization continue to threaten the sustainability of many cities in Africa. By selecting Morogoro Municipal Council (MMC) in Tanzania as an example, this study applied well-known remote sensing techniques to understand the dynamics of urban growth and the implications for sustainable urban planning. The study analyzes spatio-temporal characteristics for eighteen years (2000–2018) based on urban land density using gradient and grid-based analysis to further examine land use and urban land density nexus. The results indicate declining urban land densities with distance to the city center, indicating a less compact and fragmented development at the urban fringes; and northward development with limited development to the south of MCC. The knowledge and understanding of the patterns of spatio-temporal conditions, land use planning, and management interventions in MMC are necessary for addressing the inadequacies associated with rapid urbanization within the study area. On this basis, we propose a shift from the modernist to the communicative planning strategy that strongly integrates the urban social, economic, and environmental imperatives, while being adaptable to evolving realities. This plan should also aim to curtail urban sprawl and create a viable city system and economically prosperous city structure for MMC
