SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data

Rapid development of disease detection computer vision models is vital in response to urgent medical crises like epidemics or events of bioterrorism. However, traditional data gathering methods are too slow for these scenarios necessitating innovative approaches to generate reliable models quickly from minimal data. We demonstrate our new approach by building a comprehensive computer vision model for detecting Human Papilloma Virus Genital warts using only synthetic data. In our study, we employed a two phase experimental design using diffusion models. In the first phase diffusion models were utilized to generate a large number of diverse synthetic images from 10 HPV guide images explicitly focusing on accurately depicting genital warts. The second phase involved the training and testing vision model using this synthetic dataset. This method aimed to assess the effectiveness of diffusion models in rapidly generating high quality training data and the subsequent impact on the vision model performance in medical image recognition. The study findings revealed significant insights into the performance of the vision model trained on synthetic images generated through diffusion models. The vision model showed exceptional performance in accurately identifying cases of genital warts. It achieved an accuracy rate of 96% underscoring its effectiveness in medical image classification. For HPV cases the model demonstrated a high precision of 99% and a recall of 94%. In normal cases the precision was 95% with an impressive recall of 99%. These metrics indicate the model capability to correctly identify true positive cases and minimize false positives. The model achieved an F1 Score of 96% for HPV cases and 97% for normal cases. The high F1 Score across both categories highlights the balanced nature of the model precision and recall ensuring reliability and robustness in its predictions.Comment: 12 pages 5 figures 1 tabl

Hypomethylating agents are associated with high rates of hematologic toxicity in patients with secondary myeloid neoplasms developing after acquired aplastic anemia

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Data Informed Decision Bias

Data science techniques are revolutionizing decision making processes and facilitating data driven insights. The exponential growth of data availability, coupled with advancements in computing power and algorithms, has paved the way for a data driven paradigm that is reshaping the way organizations operate. In the present thesis we discuss the use of data science techniques for decision making. We first conduct a case study of using data science techniques to reveal latent drivers for improving societal outcomes. Secondly, we reveal class imbalance issues in datasets exploited for decision-making purposes. Furthermore, we present a comprehensive discourse on discriminatory bias within the framework of machine learning algorithms. For mitigating machine learning bias, we subsequently produce novel results at the intersection of Learning Fair Representations and Variational Autoencoders. We develop a novel approach in the field of fair representation learning that demonstrates comparable or superior performance when compared to existing state-of-the-art algorithms in the domain of representation learning.</p

Immigration and its effects on the national security of Sri Lanka

Immigration has social, political, economic, and security significance in Sri Lanka. Immigrants bring economic potential to the countries receiving them but also pose many security threats that may include criminal, terrorist, and extremist activities, as well as ethnic tensions and sectarian violence. This study identifies some of the potential threats posed by immigration, both legal and illegal, and examines the underdeveloped framework of Sri Lankan immigration law. A comparative analysis of Sri Lanka, its neighbor India, and the island nation of Bahamas serves to identify possible measures for revising the existing counterterrorism approaches and introducing new strategies to Sri Lanka. Furthermore, an analysis of these countries demonstrates that reform of comprehensive policies, the practice of immigration control, and effectively coordinated counterterrorism strategies to monitor immigrants may enhance the national security of Sri Lanka.http://archive.org/details/immigrationndits1094551597Lieutenant Colonel, Vijayabahu Infantry Regiment, Sri Lanka ArmyApproved for public release; distribution is unlimited

Analysis of laser doping of silicon using different boron dopant sources

Implementation of selective emitter that decouples the requirements for front doping and metallization leads to improve the efficiency of crystalline silicon solar cells. Formation of such an efficient selective emitter using a laser beam with a suitable wavelength is an attractive method. The present work focuses on the analysis of laser doping of boron using different finite sources such as borosilicate glass (BSG) deposited by PECVD, spin-on solution and BCl3 gas source. KrF excimer laser (248 nm) was used for the selective doping. The surface dopant concentration and depth, as measured using SIMS, were controlled by variation of the laser fluence, pulse number and dopant source thickness. Depending on the type of BSG source, sheet resistance close to 20 Omega/sq was achieved at the laser fluences in the range,2.5-5 J/cm(2). The PECVD-BSG layers with a relatively higher thickness resulted in a lower sheet resistance of 20 Omega/sq with a junction of depth of similar to 1 mu m at a moderate laser fluence of 2.5 J/cm(2). In the case of BSG deposited by spin-on source, a deeper junction of depth of similar to 2.7 mu m with a plateau profile of 1 mu m was formed at a laser fluence of 3.1 j/cm(2) that resulted in a lower sheet resistance of similar to 31 Omega/sq. Redistribution of the dopant with pulse repetition was observed for the BSG deposited by BCl3 gas source. Pulse repetition at relatively lower laser fluences (>threshold energy) resulted in the best electrical results in combination with a limited laser induced damage in the silicon crystal. Also, multiple laser annealing resulted in redistribution of the dopant profiles in terms of enhanced junction depth

Structure determination of fatty acid ester biofuels via in situ cryocrystallisation and single crystal X-ray diffraction

Please read abstract in the article.The Claude Leon Foundation and NRF Green Economy Fund (Grant UID: 98053) for financial assistance. They would also like to acknowledge the NRF (Grant UID: 78572) for the purchase of the D8 VENTURE and OHCD device.http://www.rsc.org/journals-books-databases/about-journals/crystengcomm2020-01-07hj2019Chemistr

A Comparative Physicochemical and Pharmacognostical Evaluation of Nishamalaki - An Ayurvedic Antidiabetic Formulation

No Abstract