Analysis of voice disorders by Dr. Speech and electroglottography.

A normal voice is judged according to whether the pitch, loudness, quality are adequate for communication and suit a particular person. A person may use a pitch which is too high or too deep, intensity that is too loud or too soft, or voice quality may be too hoarse, breathy or Harsh. Hoarseness of voice may be defined as a quality of voice, which is rough, grating, harsh more or less discordant and lower in pitch than normal voice: Hoarseness is purely a relative term. Setting the vocal cords in vibration by an air column is purely mechanical process. So anything that impairs the perfect working of this Mechanism produces voice disorder. Voice disorder is one of the important and major indicator of diseases of throat and nose. The present study titled "Analysis of voice disorders by Dr.Speech and Electroglottography", is mainly aimed at voice assessment inclusive of Hoarse voice, Harsh voice, Breathy voice, vocal fold regularity and Glottal closure time and etiopathology of voice disorder. Fifty cases randomly collected presented with change of voice of various etiology were at the Upgraded Institute Of Oto - Rhino Laryngology, Govt. General Hospital, Chennai, attached to Madras Medical College, during the period of study from October 2004 to September 2005 A.D. Dr.Speech is very useful to identify voice characteristics of different vocal cord pathologies and with in depth study of Dr.Speech and Electroglottography, it may be possible to approximate diagnosis just by analysing the voice assessment and EGG recordings. It is also useful in voice therapy to restore the voice in cases with non - malignant voice disorders, before and after medical and surgical management

Evaluation of Toxicity and Antidiabetic Activity of Ethanolic Extract of Aerial Parts of Anisomeles Malabarica (L.) Against Dexamethasone Induced Hyperglycemia in Wistar Albino Rats

AIM: The aim of the present study was to evaluate the anti diabetic activity of ethanolic extract of aerial parts of Anisomeles malabarica Linn. OBJECTIVE: The objectives of the present research are as follows: To prepare and standardize the ethanolic extracts of roots of Anisomeles malabarica Linn. To establish the safety of the extract by carrying out acute and sub acute toxicity studies and investigating the behavioral changes in Wistar albino rats. To investigate the antidiabetic effect ethanolic extracts of roots of Anisomeles malabarica Linn. against dexamethasone-induced insulin resistance in wistar albino rats.SUMMARY & CONCLUSION:In the current research, we have investigated the effect of Anisomeles malabarica Linn on dexamethasone induced insulin resistance models. Various biochemical estimations like glucose, cholesterol. Triglycerides, LDL and HDL levels and antioxidant estimations like TBARS SOD, CAT, and GSH were estimated in two different doses of Anisomeles malabarica Linn (100 and 200mg/kg p.o.) and then compared with the standard and induced compound. Anisomeles malabarica Linn at a dose of 100mg/kg and 200mg/kg prevented the development of hyperglycemia, hypercholesteremia and hypertriglyceridemia in dexamethasone induced insulin resistance models. Oral administration of Anisomeles malabarica Linn 100mg/kg and 200mg/kg reduces serum glucose, triglyceride, total cholesterols and LDL concentration and improve the concentration of HDL in dexamethasone administered rats. The lignin Anisomeles malabarica Linn showed significant anti-diabetic effect in rats after oral administration. The present study demonstrated that Anisomeles malabarica Linn could be useful in Management of diabetes associated with abnormalities in lipid profiles. Further study need to isolate, identify the active compounds and find out the possible mechanism of actions

Exploring Enterprise Systems Adoption in Bahrain

Enterprise Systems (ES) are multi-million dollar systems that are adopted by organizations to improve their operations. However, implementation of these systems is not straightforward and challenging, as it requires changes in work practices and business practices. These systems become more complicated for organizations in developing countries as they are based on western assumptions. While there are studies that examine ES adoption in developing countries, there are still conflicting results. In this study, we examine the critical success factors in different stages of ES implementation using multiple case studies of three organizations in Bahrain. The findings show that there are different factors important in different stages of implementation. Some of these factors are important throughout the implementation and others are important in particular phases. This research has important implications for research and practice

Factors influencing intention to use Islamic credit cards in Selangor

Islamic credit card (ICC) has been widely used for personal consumption. The use of ICC is gaining prominence as an alternative to conventional credit card as the concept and operations are permissible by the shariah. The paper aims to determine factors influencing intention to use ICC based on three variables namely benefits, fair charges and religious motivation. A quantitative methodology was conducted via a survey of 102 respondents in the state of Selangor. The results indicated that benefits and religious motivations have significant influence on the intention to use Islamic credit cards. Hence, practitioners should incorporate the two factors in their marketing efforts to promote ICC. The academician can benefit by conducting further research on this eminence body of knowledge

GAN-driven Electromagnetic Imaging of 2-D Dielectric Scatterers

Inverse scattering problems are inherently challenging, given the fact they are ill-posed and nonlinear. This paper presents a powerful deep learning-based approach that relies on generative adversarial networks to accurately and efficiently reconstruct randomly-shaped two-dimensional dielectric objects from amplitudes of multi-frequency scattered electric fields. An adversarial autoencoder (AAE) is trained to learn to generate the scatterer's geometry from a lower-dimensional latent representation constrained to adhere to the Gaussian distribution. A cohesive inverse neural network (INN) framework is set up comprising a sequence of appropriately designed dense layers, the already-trained generator as well as a separately trained forward neural network. The images reconstructed at the output of the inverse network are validated through comparison with outputs from the forward neural network, addressing the non-uniqueness challenge inherent to electromagnetic (EM) imaging problems. The trained INN demonstrates an enhanced robustness, evidenced by a mean binary cross-entropy (BCE) loss of $0.13$ and a structure similarity index (SSI) of $0.90$. The study not only demonstrates a significant reduction in computational load, but also marks a substantial improvement over traditional objective-function-based methods. It contributes both to the fields of machine learning and EM imaging by offering a real-time quantitative imaging approach. The results obtained with the simulated data, for both training and testing, yield promising results and may open new avenues for radio-frequency inverse imaging

Numerical Computation for Modified Cross Model Fluid Flow Around the Circular Cylinder with Symmetric Trapezoidal Cavities

This manuscript explores the flow features of the Modified Cross Model in a channel with symmetric trapezoidal cavities in the presence of a circular obstacle. The non-dimensional governing equations and model for different parameters are evaluated via a Galerkin Finite Element Method The system of non-linear algebraic equations is computed by adopting the Newton method. A space involving the quadratic polynomials (P2) has been selected to compute for the velocity profile while the pressure profile is approximated by a linear (P1) finite element space of functions. Simulations are performed for a wide range of physical parameters such as modified parameter (from 0.0 to 0.5), power-law index (from 0.5 to 1.5), relaxation parameter (from 1 to 3), and Reynolds number (from 10 to 40). For the case of a modified parameter (b) and relaxation parameter (λ), it is observed that the drag coefficient (CD) shows an increasing trend while the lift coefficient (CL) is changing sign at lower values of (λ), and then becomes positive at λ=3

A Single DC Source Nine-Level Switched-Capacitor Boost Inverter Topology with Reduced Switch Count

This paper presents a new boost inverter topology with nine level output voltage waveform using a single dc source and two switched capacitors. The capacitor voltages are self-balancing and thus is devoid of any sensors and auxiliary circuitry. The output voltage is twice higher than the input voltage, which eliminates the need for an input dc boost converter especially when the inverter is powered from a renewable source. The merits of the proposed topology in terms of the number of devices and cost are highlighted by comparing the recent and conventional inverter topologies. In addition to this, the total voltage stress of the proposed topology is lower and have a maximum efficiency of 98.25%. The operation and dynamic performance of the proposed topology have been simulated using PLECS software and are validated using an experimental setup considering a different dynamic operation.This work was supported in part by the Scientific Research Deanship, Taif University, Saudi Arabia, under Grant 1-439 - 6072.Scopu