10 research outputs found
Analysis of SIR Mathematical Model for Malaria Disease: A Study in Assam, India
No full textThe global outbreak of covid-19 pandemic is still affecting people around the globe very badly. Before the covid-19 pandemic outbreak, several research works were done for the detection and prevention of various infectious diseases using different mathematical modeling. Implementing mathematical modeling to resolve problems in Biology and physiology is generally called Mathematical Biology, an extremely interdisciplinary area. The applications of mathematical modeling in the analysis of infectious diseases help to concentrate on the necessary processes associated with forming the infectious disease epidemiology and specifications estimation. The compartmental mathematical model can be either SI, SIS, SIR, SIRS, or SEIR where S, I, R, and E denote susceptible, infected, recovered, and exposed respectively. Malaria is an infectious disease that has a large economic and health impact on society. This study aims to predict the estimation of suspected, infected and recovered people using the SIR mathematical model of the Barama area of Baksa District in Assam, India. Here we analyzed the Basic Reproductive Ratio of the SIR model for malaria disease and examined if malaria is epidemic or endemic in that area
Bridge Configured Wounded Switched Reluctance Motor
No full textAbstractConventional switched reluctance motors suffer from high undesired acoustic noises and vibrations caused by the production of a considerable amount of radial force due to non-uniformity in air-gap which can be controlled in order to make it more efficient. A feasible solution to pacify this problem is the introduction of a special winding scheme called bridge configured winding (BCW) in switched reluctance motor (SRM). Various winding configurations (generally dual set of windings) have been developed till date in order to produce radial force in SRM. This paper presents the incorporation of bridge configured winding capable of producing both the torque and a controllable radial force using a single set of winding, thus reducing the use of additional winding for radial force production
Design and Analysis of a Radial Active Magnetic Bearing for Vibration Control
No full textAbstractVibration caused by rotor unbalance is one of the most pertinent problems facing the rotating machines, including electrical motors and turbo machinery among others. Thus vibration attenuation has become very essential in improving the overall performance of such machines. In this paper, a 12-pole radial Active Magnetic Bearing (AMB), using AC excitation has been proposed to counteract the unbalance. Here a switching variation of AMB teeth excitation currents is implemented to generate a rotating force, synchronous with the rotor unbalance but in opposite direction
Discriminant feature level fusion based learning for automatic staging of EEG signals
No full textWide-scale information embedding is a prerequisite to enhance the performance as well as the reliability of decision-making algorithms for viable implementation. Feature fusion technology significantly helps to incorporate such information to provide promising algorithm performance. In this Letter, a fusion-based model with the aid of discriminant correlation analysis to classify electroencephalogram signals is proposed. Sets of multiple feature matrices are generated from signals in both time and wavelet domains for study-specific classes, which are further decomposed to derive a set of sub-multi-view features followed by optimisation to extract statistical features. Features are concatenated using feature fusion technique to derive low order discriminant features. Besides, the analysis of variance was also performed to validate the analysis. The statistically significant features are evaluated for the effective model performance. Experimental results manifest that the proposed feature fusion based algorithm is superior to many state-of-the-art methods and thus promote real-time implementation
Antagonizing the adhesion of type 1 fimbriae - mediated Escherichia coli - a novel therapy for urinary tract infections
No full textUrinary tract infections (UTIs), primarily caused by uropathogenic E. coli (UPEC), affect millions of people and account for significant morbidity and high medical costs. The key step in the pathogenesis of UTIs is the bacterial adhesion to urothelial cells, which is mediated by the virulence factor FimH located on type 1 pili. Blocking FimH and therefore the adhesion with FimH antagonists offers a new therapeutic approach for the prevention and treatment of UTIs. However, the antagonists developed so far have hardly met the requirements for clinical applications due to poor pharmacokinetic (PK) properties. In vivo studies indicated that with biphenyl α-D-mannosides as FimH antagonists, high doses were necessary to achieve the minimal concentrations required for anti-adhesive effects in the bladder. Additionally, the binding mode of an antagonist to the carbohydrate recognition domain of FimH can switch from an “in-docking mode” to an “out-docking mode”, depending on the structure of the antagonist. Further studies indicated that the existence of the high- and low-affinity state of FimH could complicate the binding affinity.
To achieve oral bioavailability, to improve binding affinity, and to explore the binding mode, we chemically modified the biphenyl FimH antagonists with diverse strategies. To establish the designed compound libraries, traditional synthesis and dynamic combinatorial techniques were applied. The binding affinity and the thermodynamic profile of the antagonists were evaluated by a cell-free competitive binding assay, a competitive fluorescence polarization assay, a cell-based flow cytometry assay, and isothermal titration calorimetry (ITC). Furthermore, the PK properties were determined by in vitro and in vivo assays. As results, structure-activity and structure-property relationships were established for structurally diversified FimH antagonists. The reported strategies led to FimH antagonists with significantly improved PD/PK profile regarding effectiveness of the anti-adhesive treatment
Erratum to: Search for new physics in dijet angular distributions using proton-proton collisions at
No full textErratum to: Eur. Phys. J. C (2018) 78:789 https://doi.org/10.1140/epjc/s10052-018-6242-x
In this article the author name Luigi Calligaris was incorrectly written as A. Calligaris. The original article has been
corrected
Erratum to: Measurement of the top quark mass with lepton+jets final states using pp collisions at
No full textErratum to: Eur. Phys. J. C (2018) 78:891 https://doi.org/10.1140/epjc/s10052-018-6332-9
In this article the author name Luigi Calligaris was incorrectly written as A. Calligaris. The original article has been
corrected
Erratum to: Measurement of exclusive
No full textErratum to: Eur. Phys. J. C (2019) 79:277 https://doi.org/10.1140/epjc/s10052-019-6774-8
In this article the author name Luigi Calligaris was incorrectly written as A. Calligaris. The original article has been
corrected
Measurement of b hadron lifetimes in pp collisions at root s = 8TeV (vol 78, 2018)
No full textWe have corrected Eqs. (17)–(20) from Section 8 of the original paper. The published versions of Eqs. (17) and (18) were mistakenly the same and Eqs. (19) and (20) were reversed. Below are the corrected equations: (Formula presented.) Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.0info:eu-repo/semantics/publishe
Two-particle azimuthal correlations in γp interactions using pPb collisions at √s_NN=8.16 TeV
No full textThe first measurements of the Fourier coefficients (V-n Delta) of the azimuthal distributions of charged hadrons emitted from photon-proton (gamma p) interactions are presented. The data are extracted from 68.8nb(-1) of ultra-peripheral proton-lead (pPb) collisions at root s(NN)= 8.16 TeV using the CMS detector. The high energy lead ions produce a flux of photons that can interact with the oncoming proton. This gamma p system provides a set of unique initial conditions with multiplicity lower than in photon-lead collisions but comparable to recent electron-positron and electron-proton data. The V-n Delta coefficients are presented in ranges of event multiplicity and transverse momentum (p(T)) and are compared to corresponding hadronic minimum bias pPb results. For a given multiplicity range, the mean p(T) of charged particles is smaller in gamma p than in pPb collisions. For both the gamma p and pPb samples, V-1 Delta is negative, V-2 Delta is positive, and V-3 Delta consistent with 0. For each multiplicity and p(T) range, V-2 Delta is larger for gamma p events. The gamma p data are consistent with model predictions that have no collective effects. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP(3)
