Narrow Results

In this paper, we calculate the strong decays of $2^{+}$ heavy-light states, namely, the charmed $D_2^{\ast }{(2460)}^0$ meson and the charm-strange $D_{s2}^{\ast }{(2573)}^{+}$ meson. The method we adopt is the reduction formula, PCAC relation and low energy theorem, following which, the transition amplitudes are calculated. The wave functions of the heavy mesons involved are achieved by solving the instantaneous Bethe–Salpeter equation. As the OZI-allowed two-body strong decays give the dominant contribution, they can be used to estimate the total widths of mesons. Our results are: $\mathrm{\Gamma }[D_2^{\ast }{(2460)}^0]=51.3\mathrm{\text{MeV}}$ and $\mathrm{\Gamma }[D_{s2}^{\ast }{(2573)}^{+}]=19.6\mathrm{\text{MeV}}$. The ratios of branching ratios of two main channels are $\mathrm{\text{Br}}[D_2^{\ast }{(2460)}^0\to D^{+}{\pi }^{-}]/\mathrm{\text{Br}}[D_2^{\ast }{(2460)}^0\to D^{\ast +}{\pi }^{-}]=2.13$ and $\mathrm{\text{Br}}[D_{s2}^{\ast }{(2573)}^{+}\to D^{\ast 0}{K}^{+}]/\mathrm{\text{Br}}[D_{s2}^{\ast }{(2573)}^{+}\to D^0{K}^{+}]=0.08$, respectively.

Nowadays, a computer-aided diagnosis system is required to monitor the cardiac patients continuously and detecting the heart diseases automatically. In this paper, a new field programmable gate array-based morphological feature extraction approach is proposed for electrocardiogram signal analysis. The proposed architecture is mainly based on the Generalized Synchrosqueezing transform but a detrended fluctuation analyzer is applied in the reconstruction stage for capturing the maximum information of QRS complexes and P-waves by eliminating a set of noisy intrinsic modes. Then, a correntropy envelope is determined from the QRS enhanced signal for localizing the QRS region accurately. Also, an adaptive heuristic framework is introduced to detect the true P-wave from the P-wave enhanced reconstructed signal by analyzing both the positive and negative amplitudes. In addition, a root mean square Error estimation-based adaptive thresholding approach is used to estimate the T-wave after removing the P-QRS complexes. The proposed architecture has been implemented on field programmable gate array using the Xilinx Vertex 7 platform. The performance of the proposed architecture is validated by performing a comparative study between the resultant performances and those attained with state-of-the-art feature descriptors, in terms of Sensitivity, accuracy, positive prediction, error rate and field programmable gate array resources estimation. The proposed sensitivity, accuracy and positive prediction are 99.84%, 99.85% and 99.86% for QRS detection approach. The proposed sensitivity, accuracy and positive prediction are 99.45%, 99.23% and 99.78% for P-wave detection approach. The proposed sensitivity, accuracy and positive prediction are 99.58%, 99.65% and 100% for T-wave detection approach. The simulation results show that the proposed architecture overtakes existing designs and minimizes hardware complexity, which proves the suitability of this approach on real-time applications of electrocardiogram signals.

The problem of incident plane waves at the interface of micropolar thermoelastic half-space with voids and micropolar elastic half-space with voids has been attempted. The amplitude and energy ratios of various reflected and refracted waves for the incident $P$- and $S$-waves are obtained with the help of appropriate boundary conditions at the interface. The effect of linear thermal expansion and microinertia on the amplitude and energy ratios due to the incident $P$- and $S$-waves are discussed. Numerically and analytically, these amplitude and energy ratios are computed to show the effect of linear thermal expansion and microinertia. It is observed that the effect of linear thermal expansion is less for incident $S$-wave and the effect of microinertia is less for incident $P$-wave.