Anticonvulsant drugs and women with seizures

The incidence of congenital anomalies in children born to mothers under anticonvulsant therapy has been studied, in 2536 women who gave birth to 3348 children. The follow up period varied between 3 to 20 years. The mothers had received barbiturates, hydantoinates and carbamezapine in various combinations. The incidence of congenital anomalies noted was only 41, a figure not greater than the incidence ofanomalies in the general population. A plea is made that anticonvulsant therapy should not be discontinued during pregnancy in women with seizures

Multi-hop optimal position based opportunistic routing for wireless sensor networks

Wireless sensor network is a collection of a group of sensors connected to monitor an area of interest. Installation flexibility, mobility, reduced cost and scalability have given popularity to wireless sensor networks. Opportunistic routing is a routing protocol that takes the advantage of broadcasting nature of wireless sensor network for multi-hop communication. Considering the importance of communication between source-destination pairs in a wireless sensor network a Multi-hop Optimal position based Opportunistic Routing (MOOR) protocol is proposed in this paper. The algorithm chooses the path with minimum distance and number of hops between source and destination for transmission of data in the network. It is illustrated by simulation experiments that the proposed protocol has a good effect on End-to-End delay and lifetime of the network. In addition, it is observed that the average End-to-End delay is lesser for different simulation times when compared with existing EEOR protocol

Algorithm XXX: SHEPPACK: Modified Shepard Algorithm for Interpolation of Scattered Multivariate Data

Scattered data interpolation problems arise in many applications. Shepard’s method for constructing a global interpolant by blending local interpolants using local-support weight functions usually creates reasonable approximations. SHEPPACK is a Fortran 95 package containing five versions of the modified Shepard algorithm: quadratic (Fortran 95 translations of Algorithms 660, 661, and 798), cubic (Fortran 95 translation of Algorithm 791), and linear variations of the original Shepard algorithm. An option to the linear Shepard code is a statistically robust fit, intended to be used when the data is known to contain outliers. SHEPPACK also includes a hybrid robust piecewise linear estimation algorithm RIPPLE (residual initiated polynomial-time piecewise linear estimation) intended for data from piecewise linear functions in arbitrary dimension m. The main goal of SHEPPACK is to provide users with a single consistent package containing most existing polynomial variations of Shepard’s algorithm. The algorithms target data of different dimensions. The linear Shepard algorithm, robust linear Shepard algorithm, and RIPPLE are the only algorithms in the package that are applicable to arbitrary dimensional data

Genotoxic and antibacterial nature of biofabricated zinc oxide nanoparticles from Sida rhombifolia linn

Phyto-assisted synthesis of zinc oxide nanoparticles (ZnO-NPs) has gained importance because of their stable and eco-friendly nature with significant biological properties compared to chemically synthesized NPs. In the present study biofabrication of ZnO-NPs were carried out using aqueous leaf extract of Sida rhombifolia Linn. The biofabricated ZnO-NPs showed an absorption peak at 307 nm and bandgap energy of 3.51 eV with an average size of similar to 30 nm. The XRD analysis revealed stiff narrow peaks confirming the particles were of no impurities, which were in agreement with EDS analysis. The biofabricated ZnO-NPs exhibited significant antibacterial activity with a MIC of 0.25 mg mL(-1) against E. coli, while it was 0.5 mg mL(-1) against B. subtilis and S. typhi. The live and dead cell analysis of the nanoparticles confirmed that the antibacterial activity was due to damage in the cell walls of the test pathogens. Further, the nanoparticles also offered significant antioxidant and genotoxic properties with an IC50 of 974.5 mu g mL(-1) and 548.4 mu g mL(-1), respectively

A Profile of Bacteriologically Confirmed Pulmonary Tuberculosis in Children

Objective: To describe the clinical profile of children with bacteriologically confirmed tuberculosis. Study Design: A multicentric study was conducted in three hospitals in Chennai city between July 1995 and December 1997. Children aged 6 months to 12 years with signs and symptoms suggestive of tuberculosis were investigated further. Clinical examination, chest radiograph, tuberculin skin test with 1 TU PPD and, sputum or gastric lavage for mycobacterial smear and culture were done for all and, lymph node biopsy when necessary. Results: A total of 2652 children were registered and tuberculosis was bacteriologically confirmed in 201. Predominant symptoms were history of an insidious illness (49%), fever and cough (47%), loss of weight (41%) and a visible glandular swelling (49%). Respiratory signs were few and 62% were undernourished. Over half the patients with confirmed TB had normal chest X-ray. Abnormal X-ray findings included parenchymal opacities in 47% and hilar or mediastinal lymphadenopathy in 26%. The prevalence of isoniazid resistance was 12.6% and MDR TB 4%. Conclusions: Children with tuberculosis present with fever and cough of insidious onset. Lymphadenopathy is a common feature even in children with pulmonary TB. A significant proportion of children have normal chest X-rays despite positive gastric aspirate cultures. Drug resistance rates in children mirror the pattern seen in adults in this geographic area

In Adan Tradition the Personality Traits about Father and Son

‘Otha padhithru pathu’ It is the Book belongs to the ‘Etthu Thogai’ literature and it tells about the outer life. In this literature it denotes the special about the ancient tamilians ruling power, war victories and donations. This book is a historical document only about the King’s of cherans. Kadalpiragottiya Senguttuvan is the son of Immayavaramban Neduncheralathan is the song leader of Second of the ten songs.  In this Padhitru Pathu fifth ten part songs tells about the personality traits, straight forward way of victories, good rule for the people and they donated every thing to the people without saying the word No. Both of the leader for father and son did above thing. They lead the country for the people like the light house. It is the description’s of above research

Towards Optimal Copyright Protection Using Neural Networks Based Digital Image Watermarking

In the field of digital watermarking, digital image watermarking for copyright protection has attracted a lot of attention in the research community. Digital watermarking contains varies techniques for protecting the digital content. Among all those techniques,Discrete Wavelet Transform (DWT) provides higher image imperceptibility and robustness. Over the years, researchers have been designing watermarking techniques with robustness in mind, in order for the watermark to be resistant against any image processing techniques. Furthermore, the requirements of a good watermarking technique includes a tradeoff between robustness, image quality (imperceptibility) and capacity. In this paper, we have done an extensive literature review for the existing DWT techniques and those combined with other techniques such as Neural Networks. In addition to that, we have discuss the contribution of Neural Networks in copyright protection. Finally we reached our goal in which we identified the research gaps existed in the current watermarking schemes. So that, it will be easily to obtain an optimal techniques to make the watermark object robust to attacks while maintaining the imperceptibility to enhance the copyright protection

A novel steady-state visually evoked potential-based brain-computer interfaces using trans-subject feature fusion approach

A brain-computer interface (BCI) is a transformative technology that enables users to control external devices or communicate solely through the analysis of their brain activity. One promising aspect of BCIs is the utilization of steady-state visually evoked potentials (SSVEPs), a neurophysiological response in the brain that synchronizes with repetitive visual stimuli. This paper introduces a novel approach known as the trans-subject feature fusion approach (TFA), designed to improve SSVEP-based BCIs. This methodology streamlines data pre-processing, creates invariant SSVEP templates, and simplifies calibration, addressing key challenges that have hindered BCI adoption. By doing so, the main aim is to contribute to the advancement of BCIs, making them more accessible and efficient for a range of applications, from assistive technologies to healthcare, ultimately enhancing users’ communication, and control capabilities