No abstract

This paper represents a method for Human Recognition system using Principal Component Analysis. Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The initial step in this kind of system is to generate silhouette frames of walking human. A number of features couldb be exytacted from these frames such as centriod ratio, heifht, width and orientation. The Principal Component Analysis (PCA) is used for the extracted features to condense the information and produces the main components that can represent the gait sequences for each waiking human. In the testing phase, the generated gait sequences are recognized by using a minimum distance classifier based on eluclidean distance matched with the one that already exist in the database used to identify walking subject.

Objective: Pakistan has been suffering from epidemics of dengue infection in last two decades. One of the reasons of yearly high number of cases is due to lack of awareness and knowledge about prevention of dengue infection. The current study aimed to assess the level of knowledge and awareness of dengue infection common population of Karachi. Material and Methods: A cross-sectional survey-based study was carried out over a period of three months. First section comprised of demographic characteristics of participants, section two comprised of 7- items about the knowledge of dengue infection, while section three comprised of 5- items related to awareness and perception of dengue infection among participants. Results: A total of 201 participants were enrolled in the study with mean age of 26.9 years. Female participants were more as compared to male participants. Most of the participants belonged to low- or middle-income socio-economic status and had no history of dengue infection in the past. Less than half (39.8%) participants responded correctly that dengue mosquito breed in stagnant clean water. Around three-fourth population think that the chances of bite of mosquito is more in night time or dusk as compared to correct option of dawn. Around 37.3% participants were unaware that there is no vaccine available for the prevention or treatment of dengue infection. Around 30% respondents responded that antibiotics can be used for the treatment of dengue infection. Conclusion: The level of knowledge in the current study was observed to low as compared to the previous studies. The level of awareness and knowledge among common population needs to be improved among common population Keywords: Dengue, Knowledge, Awareness, Mosquito, Perception

No abstract

The purpose of this study was to investigate the possible preventive role of sorafenib in preventing obesity, hyperlipidemia, and diabetes by exploring its preventive effects. As there is a rapid increase in the number of people being affected by these diseases, there is a need to find new methods to manage them. Sorafenib has been demonstrated to be a potent inhibitor of ABCC10 transmembrane protein in several studies. A recent study has shown that ABCC10 contributes to the pathogenesis of both hyperglycemia and hyperlipidemia. Additionally, many patients who have cancer also are affected by the metabolic syndrome. Thus, cancer patients must take medicines to control high cholesterol and glucose levels, thus increasing the burden of medicines on cancer patients. As sorafenib is an anti-cancer drug and a potent inhibitor of ABCC10, it may prevent metabolic syndrome in cancer patients, thus reducing the burden of additional medications and their adverse effects. This study’s objective was to determine whether sorafenib can lower high lipid and high glucose levels in rats given a high-fat high-sugar diet. There were four groups of the rats: Group I: control (Standard Diet); Group II: diabetic (type-2) rats were given high-fat diet feed and sucrose through drinking water (25% sucrose) for 60 days (HFSD); Group III: diabetic (type-2) rats were given sorafenib 10 mg/kg/d (orally) for 60 days (HFS-S); Group IV: diabetic (type-2) rats were given metformin (50 mg/kg/d). Blood glucose, insulin, triglyceride, cholesterol, and liver enzyme levels were measured. Histopathological analysis of the liver was also conducted using an optical microscope. There was a significant weight reduction when sorafenib was administered to rats. The treatment produces a significant improvement in triglycerides (TG), total cholesterol (TC), and low-density lipoproteins (LDL) (P < 0.05). Furthermore, it also lowers blood glucose levels and improves insulin sensitivity (P < 0.05). Moreover, hepatic steatosis was also prevented by sorafenib in the histopathological analysis of the liver. According to our study, the effects of sorafenib were significant in improving dyslipidemia, hyperglycemia, and insulin sensitivity, as well as preventing the accumulation of fatty deposits in the rats' liver tissue when sorafenib was administered with a high-fat sucrose diet.