Synthetic seed production for germplasm storage of Hydrastis canadensis L. (Goldenseal)

Goldenseal (Hydrastis canadensis L.) is an important medicinal plant, native to Canada and Eastern United States, used as an antibiotic, anticonvulsant and in treatments for inflammations and dyspepsia. Over collection of wild population and native habitat destruction has lead the species to be listed as an endangered species in the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), Appendix II. This brought a revived interest in conservation of germplasm.;Calcium alginate solid and hollow bead encapsulation protocols were evaluated. Shoot and callus propagules were encapsulated in calcium alginate solid bead (supplemented with stage II nutrient media) and hollow bead (no nutrient supplements) and were stored at 25°C and 5°C for either 4, 8 or 12 weeks. Best regeneration and viability were observed in 2.5% alginate concentrated solid shoot propagules that were stored at 5°C. By the end of 6 weeks of sub culturing 100% regeneration was achieved. Reduced (10%) regeneration was observed in callus propagules stored at 5°C, and all the callus propagules stored at 25°C were necrotic

A Secure IoT-Enabled Machine Learning Framework for Brain Tumor Classification and Prediction Using MR Image Data

Brain tumor identification and classification have improved due to the quick development of medical imaging and machine learning technology. This paper presents two approaches to secure image transmission in the Internet of Things (IoT): a comprehensive approach for brain tumor prediction and classification using a strong IoT infrastructure with cutting-edge machine learning models and a security approach with the implementation of the AES-ECC hybrid model in the MQTT communication protocol for image data encryption and decryption. We make use of a heterogeneous dataset that we sourced from the Kaggle Dataset platform, which includes four different types of MRI scans of brain tumors from 2870 patients. Our proposed methodology starts with the safe acquisition and transfer of MRI images through an IoT protocol infrastructure to a cloud-based platform. CNN, DenseNet, ResNet and G-Net are some of the sophisticated machine learning models that are used to interpret and analyse these pictures. The computer is trained to identify photos of brain tumors into the appropriate groups using all above four models. According to the data, our suggested CNN model performs better than the others, obtaining an amazing 89% accuracy rate. Nonetheless, we want to achieve even greater improvement in forecast precision by utilising ensemble boosting methodologies. Boosting the CNN model with Ada-Boost, Gradient Boost, XG Boost and Cat Boost algorithms aims to maximize prediction performance. We find that the CNN algorithm combined with XG Boost outperforms all other ensemble methods with an amazing accuracy rate of 97%. This encouraging result highlights how combining cutting-edge machine learning algorithms with IoT infrastructure can lead to better brain tumor classification and prognosis. The creation of more precise and effective diagnostic instruments for the identification of brain tumors is one of our study's many implications, one that will ultimately improve patient outcomes and the healthcare industry

Analytical Simulation and Experimental Investigation of Various Characteristics of Hole Quality During Micro Drilling of PCB

Achievement of good surface quality remains a concern during micro drilling of printed circuit board (PCB). Although a great deal of work is reported on micro drilling of PCB, information on effect of drilling parameters like feed on different characteristics of hole quality is relatively scarce. Although stresses during micro drilling of PCBs are critical issues, their correlation with hole quality is yet to be reported. The current work utilizes finite element analysis based simulation of deformation and stresses to explain the various parameters of hole quality such as diameter, delamination factor and burr thickness. Effect of feed on these parameters has also been established. Results indicated that stresses play a vital role in influencing hole qualities of PCB. Increase in feed rate resulted in reduction in hole diameter, whereas delamination factor and mean burr thickness increased with feed. The study is, therefore, expected to be of help in proper selection of feed in order to achieve acceptable hole quality after micro drilling of PCB

Intraoral Palatal Lipoma: A Rare Case Report

Lipomas are the commonest occurring benign neoplasms of the human body originating from adipose cells. Intraoral lipomas are rare, contributing to less than 5% of all head and neck neoplasms. Even so, lipoma should be considered as a differential diagnosis in swellings of the oral cavity. Surgical excision is the mainstay of treatment in the case of intraoral lipoma. In this case report, the lipoma was seen originating from the soft palate. It was surgically excised in toto and was subjected to histopathological investigations to reach a definitive diagnosis. This case is being reported as it is uncommon for a lipoma to have an intraoral origin and even more rare for it to be seen occurring in the palate

Role Portrayal of Gay Men in Print Advertisements: A Study on US Market

This dissertation research is aimed at analyzing the gay roles portrayal in print advertisements by the advertisers. In order to conduct this study, the researcher had selected sample of gay advertisements from the leading US gay magazine and the mainstream magazine. The researcher also developed a coding sheet for the purpose of this analysis. The coding sheet was developed on the basis of various aspects which would enable to find out the various roles that could be portrayed by the gay men in print advertisements. The researcher attempts to study the advertiser’s point of view of looking at the gay men as advertisement objects and tries to analyze their perception for targeting the gay consumers. Detailed analysis would show the frequency of occurrence of a particular type of ad in the magazine and also the consistency that the advertisers maintain for portraying the type of roles of the gay men in US markets

Surface optical Raman modes in InN nanostructures

Raman spectroscopic investigations are carried out on one-dimensional nanostructures of InN,such as nanowires and nanobelts synthesized by chemical vapor deposition. In addition to the optical phonons allowed by symmetry; A1, E1 and E2(high) modes, two additional Raman peaks are observed around 528 cm-1 and 560 cm-1 for these nanostructures. Calculations for the frequencies of surface optical (SO) phonon modes in InN nanostructures yield values close to those of the new Raman modes. A possible reason for large intensities for SO modes in these nanostructures is also discussed.Comment: 13 pages, 4 figures, Submitted in Journa