Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network

Drone systems have been deployed by various law enforcement agencies to monitor hostiles, spy on foreign drug cartels, conduct border control operations, etc. This paper introduces a real-time drone surveillance system to identify violent individuals in public areas. The system first uses the Feature Pyramid Network to detect humans from aerial images. The image region with the human is used by the proposed ScatterNet Hybrid Deep Learning (SHDL) network for human pose estimation. The orientations between the limbs of the estimated pose are next used to identify the violent individuals. The proposed deep network can learn meaningful representations quickly using ScatterNet and structural priors with relatively fewer labeled examples. The system detects the violent individuals in real-time by processing the drone images in the cloud. This research also introduces the aerial violent individual dataset used for training the deep network which hopefully may encourage researchers interested in using deep learning for aerial surveillance. The pose estimation and violent individuals identification performance is compared with the state-of-the-art techniques.Comment: To Appear in the Efficient Deep Learning for Computer Vision (ECV) workshop at IEEE Computer Vision and Pattern Recognition (CVPR) 2018. Youtube demo at this: https://www.youtube.com/watch?v=zYypJPJipY

Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises. This paper introduces a deep learning framework to first detect 14 facial key-points which are then utilized to perform disguised face identification. Since the training of deep learning architectures relies on large annotated datasets, two annotated facial key-points datasets are introduced. The effectiveness of the facial keypoint detection framework is presented for each keypoint. The superiority of the key-point detection framework is also demonstrated by a comparison with other deep networks. The effectiveness of classification performance is also demonstrated by comparison with the state-of-the-art face disguise classification methods.Comment: To Appear in the IEEE International Conference on Computer Vision Workshops (ICCVW) 201

Synthesis and photophysical studies on 5-ethoxycarbonyl-4-cinnamyl-6-methyl- 3,4-dihydropyrimidine-2(1H)-one in various solvents

The 5-ethoxycarbonyl-4-cinnamyl-6-methyl-3,4-dihydropyrimidine-2(1H)-one (DHPM) was synthesized via Biginelli reaction and was characterized by NMR, IR, UV–Visible absorption and fluorescencespectroscopy. The fluorescence of the compound exhibits red shift from its absorption spectra and correlated with the solvent polarity. The quantum yield of fluorescence of the DHPM was found to vary with solvent polarity. The absorption spectrum of DHPM overlaps significantly with anthracene fluorescence spectrum. Therefore fluorescence quenching experiments were performed in 1,4-dioxane. The fluorescence of anthracene was found to be quenched and quenching is in accordance with Stern-Volmer relation. The Stern-Volmer constant (KSV = 2.52 x 103 M-1) was obtained. The quenching rate constant (kq = 7.145 x 1011 M-1 s-1) was calculated from the fluorescence lifetime of anthracene measured on time resolved fluorimeter (TRF) in absence of DHPM. The fluorescence quenching explained on the basis of energy transfer from anthracene to DHPM derivative. The rate constant as well as efficiency of energy transfer depends on the distance between donor and acceptor and found to be r = 6.39 nm which indicates energy transfer

Study of equatorial plasma bubble during January to April 2012 over Kolhapur (India)

Over 53 nights of all sky airglow imager data collected during January-April 2012 from the low latitude station Kolhapur (16.68°N, 74.26°E; 10.6°N dip latitude) have been analyzed to study the F-region dynamics through the imaging of OI 630 nm emission line. The observed night airglow data were supported by the ionosonde measurements from Tirunelveli (8.7°N, 77.8°E; 0.51°N dip latitude). Well defined magnetic field aligned depletions were observed during the observation period. Out of 53 nights, 40 nights exhibited the occurrence of north-south aligned equatorial plasma bubbles. These plasma bubbles were found moving towards east with drift speed in range between 70 to 200 m s-1. We have analyzed the zonal drift velocity variation and relation of bubble occurrence with the base height of the ionosphere together with the effects of the geomagnetic Ap and solar flux F10.7 cm index in its first appearance

A community-based health education programme for bio-environmental control of malaria through folk theatre (Kalajatha) in rural India

BACKGROUND: Health education is an important component in disease control programme. Kalajatha is a popular, traditional art form of folk theatre depicting various life processes of a local socio-cultural setting. It is an effective medium of mass communication in the Indian sub-continent especially in rural areas. Using this medium, an operational feasibility health education programme was carried out for malaria control. METHODS: In December 2001, the Kalajatha events were performed in the evening hours for two weeks in a malaria-affected district in Karnataka State, south India. Thirty local artists including ten governmental and non-governmental organizations actively participated. Impact of this programme was assessed after two months on exposed vs. non-exposed respondents. RESULTS: The exposed respondents had significant increase in knowledge and change in attitude about malaria and its control strategies, especially on bio-environmental measures (p < 0.001). They could easily associate clean water with anopheline breeding and the role of larvivorous fish in malaria control. In 2002, the local community actively co-operated and participated in releasing larvivorous fish, which subsequently resulted in a noteworthy reduction of malaria cases. Immediate behavioural changes, especially maintenance of general sanitation and hygiene did not improve as much as expected. CONCLUSION: This study was carried out under the primary health care system involving the local community and various potential partners. Kalajatha conveyed the important messages on malaria control and prevention to the rural community. Similar methods of communication in the health education programme should be intensified with suitable modifications to reach all sectors, if malaria needs to be controlled

Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation

Spontaneous coronary artery dissection (SCAD) is an understudied cause of myocardial infarction primarily affecting women. It is not known to what extent SCAD is genetically distinct from other cardiovascular diseases, including atherosclerotic coronary artery disease (CAD). Here we present a genome-wide association meta-analysis (1,917 cases and 9,292 controls) identifying 16 risk loci for SCAD. Integrative functional annotations prioritized genes that are likely to be regulated in vascular smooth muscle cells and artery fibroblasts and implicated in extracellular matrix biology. One locus containing the tissue factor gene F3, which is involved in blood coagulation cascade initiation, appears to be specific for SCAD risk. Several associated variants have diametrically opposite associations with CAD, suggesting that shared biological processes contribute to both diseases, but through different mechanisms. We also infer a causal role for high blood pressure in SCAD. Our findings provide novel pathophysiological insights involving arterial integrity and tissue-mediated coagulation in SCAD and set the stage for future specific therapeutics and preventions

What do antenatal care providers understand and do about oral health care during pregnancy: a cross-sectional survey in New South Wales, Australia

BACKGROUND: There is mounting evidence to support the lack of awareness among pregnant women about health consequences and long term risks associated with poor oral hygiene during pregnancy. A recognised and important point of influence is their interaction with health professionals, particularly when receiving Antenatal Care. However, there is limited evidence about the perceptions of ANC providers in Australia toward the provision of perinatal oral healthcare. This study was undertaken to explore the knowledge, attitudes and practices of Antenatal Care (ANC) providers in New South Wales (NSW), Australia providing perinatal oral healthcare and to identify barriers to and predictors of their practices in this area. METHODS: A cross sectional survey was undertaken of ANC providers (general practitioners, obstetricians/gynaecologists and midwives) practising in NSW, Australia. Participants were recruited through their professional organisations via email, postal mail, and networking at conferences. The survey addressed the domains of knowledge, attitude, barriers and practices towards oral healthcare, along with demographics. Data was entered into SPSS software and analysed using descriptive and inferential statistics. RESULTS: A total of 393 surveys (17.6% response rate) were completed comprising 124 general practitioners, 74 obstetricians/gynaecologists and 195 midwives. The results showed limited knowledge among ANC providers regarding the impact of poor maternal oral health on pregnancy/infant outcomes. Most (99%) participants agreed that maternal oral health was important yet few were discussing the importance of oral health or advising women to visit a dentist (16.4–21.5%). Further, less than a third felt they had the skills to provide oral health advice during pregnancy. ANC providers who were more knowledgeable about maternal oral health, had training and information in this area and greater experience, were more likely to engage in practices addressing the oral health of pregnant women. CONCLUSION: The findings suggest that ANC providers in NSW are not focussing on oral health with pregnant women. ANC providers seem willing to discuss oral health if they have appropriate education/training and information in this area. Further research at a national level is required to confirm whether these findings are similar in all Australian states

Human Population Differentiation Is Strongly Correlated with Local Recombination Rate

Allele frequency differences across populations can provide valuable information both for studying population structure and for identifying loci that have been targets of natural selection. Here, we examine the relationship between recombination rate and population differentiation in humans by analyzing two uniformly-ascertained, whole-genome data sets. We find that population differentiation as assessed by inter-continental FST shows negative correlation with recombination rate, with FST reduced by 10% in the tenth of the genome with the highest recombination rate compared with the tenth of the genome with the lowest recombination rate (P≪10−12). This pattern cannot be explained by the mutagenic properties of recombination and instead must reflect the impact of selection in the last 100,000 years since human continental populations split. The correlation between recombination rate and FST has a qualitatively different relationship for FST between African and non-African populations and for FST between European and East Asian populations, suggesting varying levels or types of selection in different epochs of human history

The Impact of Multifunctional Genes on "Guilt by Association" Analysis

Many previous studies have shown that by using variants of “guilt-by-association”, gene function predictions can be made with very high statistical confidence. In these studies, it is assumed that the “associations” in the data (e.g., protein interaction partners) of a gene are necessary in establishing “guilt”. In this paper we show that multifunctionality, rather than association, is a primary driver of gene function prediction. We first show that knowledge of the degree of multifunctionality alone can produce astonishingly strong performance when used as a predictor of gene function. We then demonstrate how multifunctionality is encoded in gene interaction data (such as protein interactions and coexpression networks) and how this can feed forward into gene function prediction algorithms. We find that high-quality gene function predictions can be made using data that possesses no information on which gene interacts with which. By examining a wide range of networks from mouse, human and yeast, as well as multiple prediction methods and evaluation metrics, we provide evidence that this problem is pervasive and does not reflect the failings of any particular algorithm or data type. We propose computational controls that can be used to provide more meaningful control when estimating gene function prediction performance. We suggest that this source of bias due to multifunctionality is important to control for, with widespread implications for the interpretation of genomics studies