10 research outputs found

    Promotions of Manipuri Garments – A Study on Garments Retailers of Sylhet City

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    The Manipuri tribe of Bangladesh mostly live in Sylhet division possesses a rich culture, history, and tradition. But nowadays, there is an excellent interaction between Manipuri and mainstream Bengali culture, such as; Manipuri traditional clothes (Sari, Blouse, Chador, Scarf, Muffler etc.) have gained huge popularity among common Bangladeshi people. Especially Manipuri sari has a great reputation like Dhakai Jamdani, Tangail Jamdani, Rajshahi Silk and Mirpur Silk. Though there is a huge potentiality of Manipuri garments in Bangladesh as well as abroad, its market size is very small and not much available due to some socio-economic and technological problems. However, there are not much more initiatives to search the hindrances and opportunities of this sector. The purpose of this study is to find out the promotional activities of Manipuri garments retailers in Sylhet city and their perceptions about the effectiveness of different promotional elements. This study is mainly based on primary data and some statistical measures such as frequency distribution and multiple regression analysis have been used to assess some important findings. We observe several promotional elements like TV Advertising, Digital Marketing, Online selling and Retail Outlet & Decoration have a greater effect on customer’s attention to Manipuri Garments. We recommend that retailers of Manipuri Garments  should emphasize more on these promotional elements

    Elucidation of anti-hyperglycemic activity of Psidium guajava L. leaves extract on streptozotocin induced neonatal diabetic Long-Evans rats

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    Background: Psidium guajava L (Guava) belongs to the Myrtaceae family and has been claimed to possess several pharmacological properties including antidiabetic. Objective: This study was designed to evaluate the anti-hyperglycemic activity of P guajava L leaves aqueous extract on neonatal streptozotocin-induced type 2 diabetic model rats. Methods: Streptozotocin was induced (90 mg/kg) intraperitoneally to 48 h old Long Evans rat pups. After three months, 18 male type-2 diabetic model rats were confirmed by OGTT (FG > 7 mmol/L). Therefore, experimental rats were divided into three groups 2) Diabetic water control (10 ml/kg), 3) Gliclazide treated (20 mg/kg), and 4) Extract treated group (1.25g/kg)] Six normal female rats comprised group 1 [Non-diabetic water control (10 ml/kg)]. All rats were treated orally with their respective treatment for 28 consecutive days. Blood samples were collected on 0 days (by tail cut method) and the end day (by cardiac puncture) of the experiment. The anti-hyperglycemic activity was evaluated by measuring fasting glucose, serum insulin, lipid profile, hepatic glycogen content, and intestinal glucose absorption by standard methods. Results: The serum glucose level of extract treated group was decreased by 16% as well as significantly (p<0.05) increased the serum insulin level (M±SD, 0 day vs 28thday; 0.319 ± 0.110 vs 0.600 ± 0.348, μg/L). Moreover, the extract-treated group also significantly (p<0.05) enhanced liver glycogen content and inhibited glucose absorption from the upper intestine. Besides, a significant (p < 0.05) reduction of LDL-cholesterol level was found in the extract-treated group (M±SD, 55 ± 33 vs 14 ± 9, mg/dl) compared with baseline values where other groups did not show any statistically remarkable changes. Conclusion: Current study concludes that P guajava leaves aqueous extract enhances insulin secretion from pancreatic beta-cells and promotes glycogen synthesis in the liver. The extract also inhibits glucose absorption from the upper intestine and improves dyslipidemia to some extent. Therefore, possesses the potential for drug development against T2DM

    Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior

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    This article explores a machine learning approach focused on predicting bank customer behavior, emphasizing deep learning methods. Various architectures, including CNNs like VGG16, ResNet50, and InceptionV3, are compared with traditional algorithms such as Random Forest and SVM. Results show deep learning models, particularly ResNet50, outperform traditional ones, with an accuracy of 86.66%. A structured methodology ensures ethical data use. Investing in infrastructure and expertise is crucial for successful deep learning integration, offering a competitive edge in banking decision-making

    Numerical analysis of an asymmetric hexagonal plasmonic refractive index sensor model based on metal–insulator–metal and Si-insulator-Si waveguide

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    In this paper, a plasmonic refractive index sensor consisting of a Metal-Insulator-Metal (MIM) waveguide is proposed introducing a hexagonal ring resonator coupled with two waveguides for the sensing purpose of the refractive index with fabrication plan. The simulation results obtained from the analysis, electromagnetic field and transmission spectra have been observed. We have demonstrated the change in transmittance if specific physical parameters are changed in the design. By tuning the device, the sensitivity of the structure can go up to 2950 nm/RIU and FoM up to 43.055. Furthermore, the base material is changed to doped silicon to make the device CMOS-compatible

    SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity

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    Numerous viruses use specialized surface molecules called fusogens to enter host cells. Many of these viruses, including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can infect the brain and are associated with severe neurological symptoms through poorly understood mechanisms. We show that SARS-CoV-2 infection induces fusion between neurons and between neurons and glia in mouse and human brain organoids. We reveal that this is caused by the viral fusogen, as it is fully mimicked by the expression of the SARS-CoV-2 spike (S) protein or the unrelated fusogen p15 from the baboon orthoreovirus. We demonstrate that neuronal fusion is a progressive event, leads to the formation of multicellular syncytia, and causes the spread of large molecules and organelles. Last, using Ca2+ imaging, we show that fusion severely compromises neuronal activity. These results provide mechanistic insights into how SARS-CoV-2 and other viruses affect the nervous system, alter its function, and cause neuropathology.Peer reviewe

    Potential of M. oleifera

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