Empowering of Feminine in Indian Advertisements

In general, female stereotypes shape the advertising industry, and some recent studies suggest that other types of non-stereotype gender role representations in advertising can have many positive effects. The purpose of this study is to investigate the gender stereotypes of women in modern days advertising. Regardless of gender, there are many positive effects on the brand-related and social impact of non-stereotypic representations of the professional gender role in advertising to respondents. These results also show the format of these stereotypes about how women are portrayed in advertising. It is important that advertising supports gender equality by using positive expressions instead of harmful stereotypes. This study used content analysis to identify the different roles women play in Indian television advertising. Studies show that women are primarily portrayed in advertising as independent decision makers and users, and as an authority on the products being advertised and direct eye contact with customers in advertising and vocalization, and the product type of advertising

Detection of Malware in Large Networks using Deep Auto Encoders

Data mining and machine learning have been heavily studied in recent years with the purpose of detecting sophisticated malware. The majority of these approaches rely on architectures that do not involve deeply enough into the learning process, despite the fact that they have yielded excellent results. This is because deep learning is finding increasing application in both business and academia thanks due to its skills in feature learning. In this paper, we develop a Deep Auto Encoder (DAE) based detection mechanism to detect the malwares crawling in the large scale networks. The DAE act as an unsupervised deep learning model that helps in detecting the malwares. The simulation is conducted on two different datasets to test the robustness of the model. The results show that the proposed method has higher rate of accuracy in detecting the attacks than other methods

Supercontinuum Generation in a Silicon Nanowire Embedded Photonic Crystal Fiber for Optical Coherence Tomography Applications

KSN wishes to thank CSIR [No: 03(1264)/12/EMR-11] and DST [No: SR/FTP/PS-66/2009], Government of India, for the financial support through the project.Postprin

Antioxidant and Antiproliferative Effect of Pleurotus ostreatus

In this study, ethanol extract of an edible mushroom Pleurotus ostreatus cultivated under the laboratory condition was investigated for its antioxidant and anticancer property in vitro. To confirm the total antioxidant activity, ABTS, DPPH free radical-scavenging assay was carried, along with total phenolic and flavonoid concentration. The ethanolic extract showed a potent antioxidant activity against both DPPH and ABTS radicals, with the EC50 value of 0.202±0.55 mg/mL and 6.42±0.261 mg/mL. Antioxidant components like total flavonoids were 1.82±0.15 µg/mg (Quercetin equivalent) and the total phenols were 8.52±0.6 mg/g (Catechin equivalent). Against the cancer cell (HL-60) in vitro P. ostreatus extracts exhibited the cytotoxic effect. The HL-60 cells treated with ethanol extract was further stained with propidium iodide and analyzed through flow cytometry, to identify whether the cytotoxicity induction was due to apoptosis or necrocis. The results of the flow cytometry confirm the cytotoxic effect of the mushroom extract was found to be mediated by the induction of apoptosis. In conclusion, our results supported the consumption of edible mushroom that act as a good dietary supplement and functional food

Randomized Clinical Trial of High-Dose Rifampicin With or Without Levofloxacin Versus Standard of Care for Pediatric Tuberculous Meningitis: The TBM-KIDS Trial

Background. Pediatric tuberculous meningitis (TBM) commonly causes death or disability. In adults, high-dose rifampicin may reduce mortality. The role of fluoroquinolones remains unclear. There have been no antimicrobial treatment trials for pediatric TBM. Methods. TBM-KIDS was a phase 2 open-label randomized trial among children with TBM in India and Malawi. Participants received isoniazid and pyrazinamide plus: (i) high-dose rifampicin (30 mg/kg) and ethambutol (R30HZE, arm 1); (ii) high-dose rifampicin and levofloxacin (R30HZL, arm 2); or (iii) standard-dose rifampicin and ethambutol (R15HZE, arm 3) for 8 weeks, followed by 10 months of standard treatment. Functional and neurocognitive outcomes were measured longitudinally using Modified Rankin Scale (MRS) and Mullen Scales of Early Learning (MSEL). Results. Of 2487 children prescreened, 79 were screened and 37 enrolled. Median age was 72 months; 49%, 43%, and 8% had stage I, II, and III disease, respectively. Grade 3 or higher adverse events occurred in 58%, 55%, and 36% of children in arms 1, 2, and 3, with 1 death (arm 1) and 6 early treatment discontinuations (4 in arm 1, 1 each in arms 2 and 3). By week 8, all children recovered to MRS score of 0 or 1. Average MSEL scores were significantly better in arm 1 than arm 3 in fine motor, receptive language, and expressive language domains (P < .01). Conclusions. In a pediatric TBM trial, functional outcomes were excellent overall. The trend toward higher frequency of adverse events but better neurocognitive outcomes in children receiving high-dose rifampicin requires confirmation in a larger trial. Clinical Trials Registration. NCT02958709

DYNAMIC POWER TUNING FOR DOWNLINK INTERFERENCE MITIGATION IN HETEROGENEOUS LTE NETWORK

ABSTRACT Heterogeneous Long Term Evolution (LTE) network comprising femtocells leads to cross-tier interference that arises between macrocells and femtocells in both uplink and downlink degrading the performance of the cellular system. The downlink interference from the femtocell to Macro User Equipments (MUE) being the most serious interference case is focused in this work. A power tuning technique has been proposed to mitigate this interference taking into consideration the number of User Equipments present in the interfering femtocells along with the information received from the interfered MUE. Simulation results show that this scheme mitigates the interference to the MUE effectively while the total transmission power of femtocells also reduce in the process of interference mitigation which is an added benefit obtained effortlessly in the dense deployment of femtocells