188 research outputs found
Lectotypification of Fimbristylis tenera (Cyperaceae)
No full textHalder, Suman, Kumar, Anant, Dey, Sangita, Venu, Potharaju (2014): Lectotypification of Fimbristylis tenera (Cyperaceae). Phytotaxa 188 (5): 287-291, DOI: 10.11646/phytotaxa.188.5.7, URL: http://dx.doi.org/10.11646/phytotaxa.188.5.
FIGURE 1 in Lectotypification of Fimbristylis tenera (Cyperaceae)
No full textFIGURE 1. Roxburgh's Handwiriting. a. Inscription present on Geneva herbarium sheet (G00309005); b. Inscription present on Edinburgh herbarium sheet; c. Specimen handwriting of Roxburgh after Forman (1997).Published as part of Halder, Suman, Kumar, Anant, Dey, Sangita & Venu, Potharaju, 2014, Lectotypification of Fimbristylis tenera (Cyperaceae), pp. 287-291 in Phytotaxa 188 (5) on page 288, DOI: 10.11646/phytotaxa.188.5.7, http://zenodo.org/record/514753
FIGURE 3 in Lectotypification of Fimbristylis tenera (Cyperaceae)
No full textFIGURE 3. Roxburgh's Icon of Fimbristylis tenera [Royal Botanic Gardens, Kew (2006). Roxbugh's Flora Indica. Published on the Internet: http://www.kew.org/flora indica/[accessed 1st December 2014:11.45 GMT]Published as part of Halder, Suman, Kumar, Anant, Dey, Sangita & Venu, Potharaju, 2014, Lectotypification of Fimbristylis tenera (Cyperaceae), pp. 287-291 in Phytotaxa 188 (5) on page 290, DOI: 10.11646/phytotaxa.188.5.7, http://zenodo.org/record/514753
Dynamic Super Round Based Distributed Task Scheduling for UAV Networks
No full textNetworks of Unmanned Aerial Vehicles (UAVs) are emerging in many application domains, e.g., military surveillance. To perform collaborative tasks, the involved UAVs exchange several types of information, e.g., sensor data and commands. The major question here is how to schedule the tasks under dynamic traffic flows to provide network services. Existing solutions use the Round-Robin Strategy (RRS), where the tasks are scheduled statistically by dividing the time into fixed-length rounds. However, the RRS wastes significant network and device resources due to task scheduling in each round. This paper proposes DROVE – a novel clustering approach that allows the UAVs for dynamic task scheduling. However, determining the task scheduling is crucial, as it significantly affects several network parameters, e.g., throughput. Therefore, we devise the problem of distributed task scheduling under dynamic traffic flow scenarios to optimize the throughput. We propose a clustering task scheduling algorithm to serve dynamic traffic flows. Particularly, we integrate the dynamic traffic flows into the Lyapunov drift analysis framework, and determine the throughput optimality of our proposed scheduling algorithm. We perform extensive simulations to validate the effectiveness of DROVE. The results show that DROVE outperforms the state-of-the-art solutions in terms of energy consumption, clustering overhead, throughput, end-to-end delay, flow success rate and packet drop rate. </p
Multifunctional Interpenetrated 3D Supramolecular Structure Based on 1D Coordination Polymers: Selective Adsorption, Magnetism, Optical Property, Theoretical Analysis, and Electrical Conductivity
No full textA paddle-wheel-based multifunctional 1D coordination polymer (CP) {[Cu 2 (4-Cl-Bz) 4 (4,4′-bipy)](DMF) 2 } n (where 4-Cl-BzH = 4-chlorobenzoic acid, 4,4′-bipy = 4,4′-bipyridine, and DMF = dimethylformamide), (complex 1) have been synthesized via the solvothermal method and characterized by single-crystal X-ray diffraction analysis along with other spectroscopic studies. Structural analysis shows that 1 crystallizes in the tetragonal P4 /ncc space group and 1D coordination chains are formed by connecting [Cu 2 (4-Cl-Bz) 4 ] paddle wheel units using 4,4′-bipy moieties along the crystallographic c axis. These 1D coordination chains are assembled to each other through weak π···π interactions to form interpenetrated 3D supramolecular structure, forming channels along the [1 1 0] and [−1 1 0] direction hosting DMF molecules. Hirshfeld surface analysis and corresponding 2D fingerprint plots indicate that π···π interaction is the major interaction among the coordination chains. Thermal analysis shows that guest DMF molecules are released within the temperature range of 70−150 °C and powder X-ray diffraction (PXRD) analysis reveals the quenching of the void space after removal of the solvent molecules. The desolvated framework selectively adsorbs CO 2 over N 2 . The magneto-luminescent behavior of the framework has also been studied. This π-induced 3D supramolecular complex shows semiconducting behavior and conductivity increases upon desolvation
Probabilistic Methods for Model Validation
No full textThis dissertation develops a probabilistic method for validation and verification (V&V) of uncertain nonlinear systems. Existing systems-control literature on model and controller V&V either deal with linear systems with norm-bounded uncertainties,or consider nonlinear systems in set-based and moment based framework. These existing methods deal with model invalidation or falsification, rather than assessing the quality of a model with respect to measured data. In this dissertation, an axiomatic framework for model validation is proposed in probabilistically relaxed sense, that
instead of simply invalidating a model, seeks to quantify the "degree of validation".
To develop this framework, novel algorithms for uncertainty propagation have been proposed for both deterministic and stochastic nonlinear systems in continuous time. For the deterministic flow, we compute the time-varying joint probability density functions over the state space, by solving the Liouville equation via method-of-characteristics. For the stochastic flow, we propose an approximation algorithm that combines the method-of-characteristics solution of Liouville equation with the Karhunen-Lo eve expansion of process noise, thus enabling an indirect solution of
Fokker-Planck equation, governing the evolution of joint probability density functions. The efficacy of these algorithms are demonstrated for risk assessment in Mars entry-descent-landing, and for nonlinear estimation. Next, the V&V problem is formulated in terms of Monge-Kantorovich optimal transport, naturally giving rise to a metric, called Wasserstein metric, on the space of probability densities. It is shown that the resulting computation leads to solving a linear program at each time of measurement availability, and computational complexity results for the same are derived. Probabilistic guarantees in average and worst case sense, are given for the validation oracle resulting from the proposed method. The framework is demonstrated for nonlinear robustness veri cation of F-16 flight controllers, subject to probabilistic uncertainties.
Frequency domain interpretations for the proposed framework are derived for
linear systems, and its connections with existing nonlinear model validation methods
are pointed out. In particular, we show that the asymptotic Wasserstein gap between
two single-output linear time invariant systems excited by Gaussian white noise,
is the difference between their average gains, up to a scaling by the strength of
the input noise. A geometric interpretation of this result allows us to propose an
intrinsic normalization of the Wasserstein gap, which in turn allows us to compare it
with classical systems-theoretic metrics like v-gap. Next, it is shown that the optimal
transport map can be used to automatically refine the model. This model refinement
formulation leads to solving a non-smooth convex optimization problem. Examples
are given to demonstrate how proximal operator splitting based computation enables
numerically solving the same. This method is applied for nite-time feedback control
of probability density functions, and for data driven modeling of dynamical systems
Author response
No full textThe Ca2+-sensor synaptotagmin-1 that triggers neuronal exocytosis binds to negatively charged membrane lipids (mainly phosphatidylserine (PtdSer) and phosphoinositides (Ptdlns)) but the molecular details of this process are not fully understood. Using quantitative thermodynamic, kinetic and structural methods, we show that synaptotagmin-1 (from Rattus norvegicus and expressed in Escherichia coli) binds to Ptdlns(4,5)P-2 via a polybasic lysine patch in the C2B domain, which may promote the priming or docking of synaptic vesicles. Ca2+ neutralizes the negative charges of the Ca2+-binding sites, resulting in the penetration of synaptotagmin-1 into the membrane, via binding of PtdSer, and an increase in the affinity of the polybasic lysine patch to phosphatidylinositol-4,5-bisphosphate (PtdIns(4,5)P-2). These Ca2+-induced events decrease the dissociation rate of synaptotagmin-1 membrane binding while the association rate remains unchanged. We conclude that both membrane penetration and the increased residence time of synaptotagmin-1 at the plasma membrane are crucial for triggering exocytotic membrane fusion
Study of the Surface Modified Co0.5Zn0.5Fe2O4 Nanoensembels for Biomedcal Application
No full textThis thesis is submitted to the Department of Physics, Khulna University of Engineering & Technology in partial fulfillment of the requirement for the degree of Master of Philosophy, October, 2017.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 113-129).Single domain magnetic nanomaterials with appropriate size and properties are interest for verity of biomedical and electrical applications such as magnetic hyperthermia, drug delivery, magnetic resonance imaging contrast enhancement, high-frequency electronics and high-density magnetic storage device. The superparamagnetic nanoparticles have their unique property, which can be manipulated and heated by an external ac magnetic field in order to destroy the cancer cells. In order to address this induction heating of MNPs (hyperthermia effect), we have prepared and characterized Co0.5Zn0.5Fe2O4 nano ensembles throughout this research work.
This research work deals with the synthesis of Co0.5Zn0.5Fe2O4 magnetic nanoparticles have been prepared using chemical co-precipitation methods. In order to investigate the annealing effects on their various physical properties, the prepared sample have been annealed at 2000C, 4000C, 6000C, 8000C and 10000C and then compared with the as-prepared sample. The XRD pattern of the as-dried and annealed samples exhibit single phase spinel structure with clear diffraction pattern. Enhancement in crystallite size from 7nn to 25nm is observed with the increase in annealing temperature from 2000C to 10000C respectively. VSM study reviled that as-prepared and annealed samples showed superparamegnetic behavior, which was further confirmed by the Mossbauer Spectroscopy. The saturation magnetization values of Co0.5Zn0.5Fe2O4 increased with the increase in annealing temperature, which confirmed that samples possess size and morphology dependent magnetic properties. Mossbauer spectra observed central doublet nature up to annealed sample 6000C and there is no hyperfine magnetic field is confirmed superparamagnetic behavior. The hydrodynamic diameter and the polydispersity index (PDI) were analyzed by DLS system at 370C and found to be between 173 nm and 231nm where PI is overall less than 0.3. For the hyperthermia study the result of induction heating measurements showed that the temperature raised by the 6mg/ml and 4mg/ml were 460C and 430C respectively. It has been seen that the rise in temperature due to the induction heating depends on the particle size and concentration of the nanoparticle. Finally, when coated with chitosan, these nanoparticle show a great ability to response to external field also suitability for biomedical application especially on hyperthermia therapy.Suman Halder129 pagesMaster of Philosophy in physic
- …
