1,252 research outputs found

    Conservation and management of marine fishery resources of Kerala State, India

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    The highly productive fisheries of Kerala, India, are suffering from overexploitation. Use of unsuitable fishing gears that result in a high level of wasteful bycatch and destruction of egg bearing and juvenile fish should be controlled. This paper makes some suggestions for monitoring and conservation of the fisheries in Kerala

    SOME FORENSIC ASPECTS OF BALLISTIC IMAGING

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    Analysis of ballistics evidence (spent cartridge casings and bullets) has been a staple of forensic criminal investigation for almost a century. Computer-assisted databases of images of ballistics evidence have been used since the mid-1980s to help search for potential matches between pieces of evidence. In this article, we draw on the 2008 National Research Council Report Ballistic Imaging to assess the state of ballistic imaging technology. In particular, we discuss the feasibility of creating a national reference ballistic imaging database (RBID) from test-fires of all newly manufactured or imported firearms. A national RBID might aid in using crime scene ballistic evidence to generate investigative leads to a crime gun’s point of sale. We conclude that a national RBID is not feasible at this time, primarily because existing imaging methodologies have insufficient discriminatory power. We also examine the emerging technology of micro- stamping for forensic identification purposes: etching a known identifier on firearm or ammunition parts so that they can be directly read and recovered from crime scene evidence. Microstamping could provide a stronger basis for identification based on ballistic evidence than the status quo, but substantial further research is needed to thoroughly assess its practical viability

    Semantic segmentation of conjunctiva region for non-invasive anemia detection applications

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    Technology is changing the future of healthcare, technology-supported non-invasive medical procedures are more preferable in the medical diagnosis. Anemia is one of the widespread diseases affecting the wellbeing of individuals around the world especially childbearing age women and children and addressing this issue with the advanced technology will reduce the prevalence in large numbers. The objective of this work is to perform segmentation of the conjunctiva region for non-invasive anemia detection applications using deep learning. The proposed U-Net Based Conjunctiva Segmentation Model (UNBCSM) uses fine-tuned U-Net architecture for effective semantic segmentation of conjunctiva from the digital eye images captured by consumer-grade cameras in an uncontrolled environment. The ground truth for this supervised learning was given as Pascal masks obtained by manual selection of conjunctiva pixels. Image augmentation and pre-processing was performed to increase the data size and the performance of the model. UNBCSM showed good segmentation results and exhibited a comparable value of Intersection over Union (IoU) score between the ground truth and the segmented mask of 96% and 85.7% for training and validation, respectively

    On the relationships of birds and their habitat requirements Insights from a tropical rain forest in Silent Valley National Park, Western Ghats, India

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    At Silent Valley National Park, (SVNP) the habitat associations for birds and the effects ofenvironmental variables, seasonality at various altitudes have been studied. We used bird count datacollected from 60 plots during 2002-2005 at 30-m fixed radius point count stations. A total of 5,253individuals belonging to 108 species were recorded which includes 14 species endemic to WesternGhats. Breeding of32 species were recorded with 517 nests. Highest species richness was found inthe wet evergreen forest sites. Species richness was significantly lower in broad-leaved hill forestfollowed by montane wet temperate forest compared to the other habitat types. Both total birdabundance and species richness were highest within the evergreen habitat of SVNP, which offereddistinctive vegetation. Bird diversity followed the same pattern, evergreen followed by grasslands andmontane wet temperate forest and then by broad-leaved hill forest. Our analysis showed that altitudeappears to be the primary environmental variable responsible for the distribution of species. Weexamined nest-site characteristics and degree of partitioning among 12 major co-existing bird speciesbreeding in SVNP. Habitat characteristics of nest sites differed significantly among species, indicatingstrong nest-site partition ing. The 12 variables for all 442 nest sites were collectively subjected to PCAto determine the relationships of the 12 species in the "habitat space" of SVNP. To summarize thedifferences in the nest site "gestalts" of the species, and to identify the best contributors of theirstatistical separation, Stepwise Discriminant Function Analysis was performed on the entire set of 12variables

    Impact of pions on binary neutron star mergers

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    We study the impact of pions in simulations of neutron star mergers and explore the impact on gravitational-wave observables. We model charged and neutral pions as a non-interacting Boson gas with a chosen, constant effective mass. We add the contributions of pions, which can occur as a condensate or as a thermal population, to existing temperature and composition dependent equations of state. Compared to the models without pions, the presence of a pion condensate decreases the characteristic properties of cold, non-rotating neutron stars such as the maximum mass, the radius and the tidal deformability. We conduct relativistic hydrodynamical simulations of neutron star mergers for these modified equations of state models and compare to the original models, which ignore pions. Generally, the inclusion of pions leads to a softening of the equation of state, which is more pronounced for smaller effective pion masses. We find a shift of the dominant postmerger gravitational-wave frequency by up to 150~Hz to higher frequencies and a reduction of the threshold binary mass for prompt black-hole formation by up to 0.07~M⊙M_\odot. We evaluate empirical relations between the threshold mass or the dominant postmerger gravitational-wave frequency and stellar parameters of nonrotating neutron stars. These relations are constructed to extract these stellar properties from merger observations and are built based on large sets of equation of state models which do not include pions. Comparing to our calculations with pions, we find that these empirical relations remain valid to good accuracy, which justifies their use although they neglect a possible impact of pions. We also address the mass ejection by neutron star mergers and observe a moderate enhancement of the ejecta mass by a few ten per cent. (abridged)Comment: 27 pages, 24 figures, accepted for publication in Phys. Rev.

    Deposition of macromolecular data

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    Topological dynamical quantum phase transition in a quantum skyrmion phase

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    Quantum skyrmionic phase is modelled in a 2D helical spin lattice. This topological skyrmionic phase retains its nature in a large parameter space before moving to a ferromagnetic phase. Next nearest-neighbour interaction improves the stability and it also causes a shift of the topological phase in the parameter space. Nonanalytic behaviour of the rate function observed, when the system which is initially in a quantum skyrmion phase is quenched to a trivial quantum ferromagnetic phase, indicates a dynamical quantum phase transition. Dynamical quantum phase transition is absent when the system initially in a skyrmion phase is quenched to a helical phase
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