Lesion-Based Detection of Cardiovascular Diseases Using Deep Learning and Red Deer Optimization

Nowadays, cardiovascular disease is a very concerning health issue in human life. Medical imaging through MRI plays an important role in the detection of many diseases. Magnetic resonance imaging (MRI) is a non-invasive and sophisticated diagnostic tool for cardiovascular disease (CVD) that allows for full visualization of the heart and blood vessels. Through Magnetic resonance imaging, we get high-quality images of blood vessels, which helps in detecting various types of heart-related diseases. With the help of MRI, we can detect various types of heart-related diseases. It also gives us information about their early diagnosis and their preventive measures. Deep learning and its advanced features are proving to be very helpful in this work. Deep learning has brought many new changes in this field. The article presents the Red Deer Optimizer with Deep Learning (ACVD-RDODL) algorithm for automated cardiovascular disease identification using magnetic resonance imaging (MRI). The primary goal of the proposed approach is to use Deep Learning models on cardiac MRI to detect Cardiovascular issues. The dynamic histogram equalisation (DHE) based noise removal model is used in the given approach to pre-process the images. Additionally, the Attention Based Convolutional Gated Recurrent Unit Network (ACGRU) model is used in this approach to classify Cardiovascular diseas

A 4D Light-Field Dataset and CNN Architectures for Material Recognition

We introduce a new light-field dataset of materials, and take advantage of the recent success of deep learning to perform material recognition on the 4D light-field. Our dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in total. To the best of our knowledge, this is the first mid-size dataset for light-field images. Our main goal is to investigate whether the additional information in a light-field (such as multiple sub-aperture views and view-dependent reflectance effects) can aid material recognition. Since recognition networks have not been trained on 4D images before, we propose and compare several novel CNN architectures to train on light-field images. In our experiments, the best performing CNN architecture achieves a 7% boost compared with 2D image classification (70% to 77%). These results constitute important baselines that can spur further research in the use of CNNs for light-field applications. Upon publication, our dataset also enables other novel applications of light-fields, including object detection, image segmentation and view interpolation.Comment: European Conference on Computer Vision (ECCV) 201

Witches Ways of Knowing: The Adult Learning Process in Joining Social Groups

This study explored what motivates adults to engage in learning that leads to membership in a marginalized social group and the nature of their learning process. By interviewing a sample of Wiccans, we discovered an intense internal motivation that endures over years and an integrated, holistic learning process

Dancing As Gracefully As I Can : A Developmental Model Of Coping Strategies In Successfully Adapting To Hiv Infection

The purpose of this study was to understand the use of coping strategies in successfully adapting to HIV infection. Data analyzed from 18 interviews revealed that coping strategies employed immediately after diagnosis differed from those used later. An underlying developmental process in the use of coping strategies was also uncovered

An NGO-Implemented Community-Clinic Health Worker Approach to Providing Long-Term Care for Hypertension in a Remote Region of Southern India.

Poor blood pressure control results in tremendous morbidity and mortality in India where the leading cause of death among adults is from coronary heart disease. Despite having little formal education, community health workers (CHWs) are integral to successful public health interventions in India and other low- and middle-income countries that have a shortage of trained health professionals. Training CHWs to screen for and manage chronic hypertension, with support from trained clinicians, offers an excellent opportunity for effecting systemwide change in hypertension-related burden of disease. In this article, we describe the development of a program that trained CHWs between 2014 and 2015 in the tribal region of the Sittilingi Valley in southern India, to identify hypertensive patients in the community, refer them for diagnosis and initial management in a physician-staffed clinic, and provide them with sustained lifestyle interventions and medications over multiple visits. We found that after 2 years, the CHWs had screened 7,176 people over age 18 for hypertension, 1,184 (16.5%) of whom were screened as hypertensive. Of the 1,184 patients screened as hypertensive, 898 (75.8%) had achieved blood pressure control, defined as a systolic blood pressure less than 140 and a diastolic blood pressure less than 90 sustained over 3 consecutive visits. While all of the 24 trained CHWs reported confidence in checking blood pressure with a manual blood pressure cuff, 4 of the 24 CHWs reported occasional difficulty documenting blood pressure values because they were unable to write numbers properly. They compensated by asking other CHWs or members of their community to help with documentation. Our experience and findings suggest that a CHW blood pressure screening system linked to a central clinic can be a promising avenue for improving hypertension control rates in low- and middle-income countries

Корекція спермопродуктивності баранів–плідників гормональними препаратами

In sheep breeding, when organizing the reproduction process, a special focus is given to rams which produce a large number of descendants by artificial insemination, and thus exert their influence as the genetic basis carriers on the breeding, productive, and technological properties of large groups or herds of sheep. The systematic use of artificial insemination of only high prepotent rams is the key to improving the qualitative composition of herds and increasing their productivity. Therefore, it is important to objectively assess the reproductive function of rams when used in breed and commercial herds. Despite the fact that spermatogenesis in rams under normal conditions of keeping and balanced feeding occurs continuously, numerous studies and practical observations indicate that environmental, seasonal and climatic factors affect sexual activity, intensity of spermatogenesis, sperm quantitative and qualitative indicators. The analysis of literature data on the impact of various environmental factors on sperm production in rams has been conducted. It is reported that seasonal environmental factors can significantly affect sexual activity and quantitative and qualitative indicators of sperm. This relationship is shown more clearly in pasturing conditions, that is with direct and prolonged contact of an animal with natural environmental factors. The results of the scientists’ research on developing and applying basic methods of stimulating the sexual activity of rams during breeding and non–breeding periods have been given. It is shown that hormones are mostly used to stimulate sexual activity and correction of sperm production in rams. The results of research on the impact of phytoestrogens on the reproductive function of males have been analysed.Проведено аналіз літературних даних щодо впливу різних чинників довкілля на спермопродуктивність баранів–плідників. Відмічено, що сезонні екологічні фактори можуть значно впливати на статеву активність та кількісні і якісні показники сперми. Ця залежність чіткіше проявляється в умовах пасовищного утримання тобто при безпосередньому і тривалому контакті організму тварини з природнім чинником зовнішнього середовища. Наведено результати досліджень вчених з розроблення і застосування основних методів стимуляції статевої активності баранів– плідників у парувальний і непарувальний періоди. Показано, що для стимуляції статевої активності та корекції спермопродуктивості баранів в більшості випадків застосовують гормональні препарати. Проаналізовано результати досліджень застосування фітоестрогенів на відтворювальну функцію самців

Pseudo-forces in quantum mechanics

Dynamical evolution is described as a parallel section on an infinite dimensional Hilbert bundle over the base manifold of all frames of reference. The parallel section is defined by an operator-valued connection whose components are the generators of the relativity group acting on the base manifold. In the case of Galilean transformations we show that the property that the curvature for the fundamental connection must be zero is just the Heisenberg equations of motion and the canonical commutation relation in geometric language. We then consider linear and circular accelerating frames and show that pseudo-forces must appear naturally in the Hamiltonian.Comment: 6 pages, 1 figure, revtex, new section added, to appear in PR

Perspective Transformation Over Time: A Two-year Follow-up Study of HIV-Positive Adults

This study investigated the stability of a perspective transformation over time. The findings confirmed that perspective transformations, at least in our sample, are irreversible; we also discovered that meaning schemes continue to change