Search results for: Mir A. Rouf
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 5

Search results for: Mir A. Rouf

5 A Statistical Study on Young UAE Driver’s Behavior towards Road Safety

Authors: Sadia Afroza, Rakiba Rouf

Abstract:

Road safety and associated behaviors have received significant attention in recent years, reflecting general public concern. This paper portrays a statistical scenario of the young drivers in UAE with emphasis on various concern points of young driver’s behavior and license issuance. Although there are many factors contributing to road accidents, statistically it is evident that age plays a major role in road accidents. Despite ensuring strict road safety laws enforced by the UAE government, there is a staggering correlation among road accidents and young driver’s at UAE. However, private organizations like BMW and RoadSafetyUAE have extended its support on conducting surveys on driver’s behavior with an aim to ensure road safety. Various strategies such as road safety law enforcement, license issuance, adapting new technologies like safety cameras and raising awareness can be implemented to improve the road safety concerns among young drivers.

Keywords: driving behavior, Graduated Driver Licensing System (GLDS), road safety, UAE drivers, young drivers

Procedia PDF Downloads 261
4 Breast Cancer Detection Using Machine Learning Algorithms

Authors: Jiwan Kumar, Pooja, Sandeep Negi, Anjum Rouf, Amit Kumar, Naveen Lakra

Abstract:

In modern times where, health issues are increasing day by day, breast cancer is also one of them, which is very crucial and really important to find in the early stages. Doctors can use this model in order to tell their patients whether a cancer is not harmful (benign) or harmful (malignant). We have used the knowledge of machine learning in order to produce the model. we have used algorithms like Logistic Regression, Random forest, support Vector Classifier, Bayesian Network and Radial Basis Function. We tried to use the data of crucial parts and show them the results in pictures in order to make it easier for doctors. By doing this, we're making ML better at finding breast cancer, which can lead to saving more lives and better health care.

Keywords: Bayesian network, radial basis function, ensemble learning, understandable, data making better, random forest, logistic regression, breast cancer

Procedia PDF Downloads 53
3 Dicarbonyl Methylglyoxal Induces Structural Perturbations, Aggregation and Immunogenicity in IgG with Implications in Auto-Immune Response in Diabetes

Authors: Sidra Islam, Moin Uddin, Mir A. Rouf

Abstract:

A wide variety of pathological disorders owing to hyperglycemic conditions involves structural rearrangements and condensations of proteins. The implication of methylglyoxal (MG) modified immunoglobulin G (IgG) in the onset and progression of diabetes type 2 (T2DM) is studied in the present study. Using biophysical and biochemical approaches MG was found to perturb the structure of IgG, effect its microenvironment and leads to aggregate formation. Furthermore, MG-IgG was found to be highly immunogenic inducing high titre antibodies in female rabbits. Clinical studies revealed the presence of circulating anti-MG-IgG antibodies as analyzed by direct binding ELISA. The circulating auto antibodies were highly specific for MG-IgG as revealed by inhibition ELISA. Thus it can be concluded that MG is a powerful agent with a high damaging potential. To IgG. It is highly capable of generating immune response that contributes to the immunopathology associated with diabetes. Dicarbonyl adducts may emerge as potential biomarkers for T2DM.

Keywords: immunogenicity, Immunoglobulin G, methylglyoxal, Type 2 Diabetes Mellitus

Procedia PDF Downloads 271
2 Genistein Treatment Confers Protection Against Gliopathy & Vasculopathy of the Diabetic Retina in Rats

Authors: Sanaa AM Elgayar, Sohair A Eltony, Maha Mahmoud Abd El Rouf

Abstract:

Background: Retinopathy remains an important complication of diabetes. Aim of work: This work was carried out to evaluate the protective effects of genistein from diabetic retinopathy in rat. Material and Methods: Fifteen adult male albino rats were divided into two groups; Group I: control (n=5) and Group II: streptozotocin induced diabetic group (n=10), which is equally divided into two subgroups; IIa (diabetic vehicle control) and IIb (diabetic genistein-treated). Specimens were taken from the retina 12 weeks post induction, processed and examined using light, immunohistochemical, ultrastructural techniques. Blood samples were assayed for the levels of glucose. Results: In comparison with the diabetic non-treated group, the histological changes in macro and microglial glial cells reactivity and retinal blood capillaries were improved in genistein-treated groups. In addition, GFAP and iNOS expressions in the retina and the blood glucose level were reduced. Conclusion: Genistein ameliorates the histological changes of diabetic retinopathy reaching healing features, which resemble that of a normal retina.

Keywords: diabetic retinopathy, genistein, glia, capillaries.

Procedia PDF Downloads 315
1 Management of Insect Pests Using Baculovirus Based Biopesticides in India

Authors: Mudasir Gani, Rakesh Kumar Gupta, Kamlesh Bali, Abdul Rouf Wani

Abstract:

The gypsy moth (Lymantria obfuscata) and tent caterpillar (Malacosoma indicum) are serious pests that attack a wide range of fruit and forest trees in Jammu & Kashmir range of North-Western Himalayas in India. Investigations were carried out to isolate and bioprospect naturally occurring nucleopolyhedroviruses (NPVs) as potent biopesticides against these pests. The biological and molecular characterization of NPV isolates from different ecosystems was conducted, and the polh, lef-8 and lef-9 genes were sequenced and subjected to phylogenetic analysis. The L. obfuscata NPV was more closely related to the L. dispar NPV, whereas M. indicum NPV was more closely related to the M. californicum NPV in the NCBI taxonomy database. Among different isolates, Bhaderwah isolates exhibited highest virus activity (LD₅₀ = 250 POBs/larvae) and speed of kill (ST₅₀ = 6.80 days) against L. obfuscata whereas Mahor isolates proved most virulent against M. indicum, with lowest LD₅₀ (257 POBs/larva) and ST₅₀ (6.80 days). The in vivo mass production for highest productivity and quality revealed that the optimum yield was obtained when 3rd instar larvae were inoculated with a viral dose of 1.44 × 105 POBs/larva and allowed to incubate for nine days for L. obfuscata. However, for M. indicum larvae, a viral dose of 2.88 × 10⁶ POBs/larva and incubation period of 10 days were found optimum. It was found that harvesting of moribund larvae yields good quality NPV. The field application of L. obfuscata NPV and M. indicum NPV against the respective host populations on apple and willow with the pre-standardized dosage of 1 × 10¹² POBs/acre reduced the larval population density up to 25-63%.

Keywords: baculoviruses, biopesticides, Lymantria obfuscata, Malacosoma indicum

Procedia PDF Downloads 112