The object of the present paper is to derive some results on differential subordination associated with a generalized derivative operator for certain normalized analytic functions in the open unit disc. The authors establish sandwich type theorems. These results extend many previously known results.

The object of the present paper is to introduce a new subclass of p-valent starlike functions with negative coefficients in the open unit disc which is defiined by a generalized derivative operator. We obtain coefficient inequalities, growth and distortion theorems and extreme points for the subclass of p-valent functions.

Recent developments in both information and communication security have heightened interest in enhancing the embedding capacity for data handling techniques. Although many steganographic techniques, in the literature, have been developed for this purpose, most of them distort the quality of the host-signal during data embedding and the changes will be become visible to the human eye especially for those signals distributed via the Internet which must be processed by a low bit rate compression due to bandwidth limitations. Therefore, the challenge is to create a steganographic technique that is able to hide acceptable amount of data without altering the quality of the host-signal. In this paper, pixel-value differencing (PVD) steganographic scheme and its two modified versions, namely, enhanced pixel-value differencing (EPVD) and tri-way pixel-value differencing (TPVD) were implemented, analyzed and compared in terms of invisibility, fidelity and impact of data hiding on the compression efficiency. Experimental results indicate that the EPVD scheme is capable of providing better performance than other compared schemes.

Abstract: Hypertension is a challenge for public health professionals all-over the world. It is the leading and most important modifiable risk factor for coronary heart disease, congestive heart failure, stroke, renal diseases, retinopathy and many other diseases. The aim of the present study is to evaluate and study the most identifiable risk factors for patients with diseases of hypertension and diabetes mellitus such as age, gender, marital status, tobacco smoking, life style and with associated diseases (dyslipidemia and diabetes) treated at city hospital in Tripoli (Tripoli Medical Centre). This was a cross sectional prospective study which was carried out during October 2013 and January 2014. The study included 200 consecutive patients (102 females and 98 males) who are older than 30 years and who came for a regular follow up at the OPD of Tripoli medical centre. During this study, variables like age, gender, diabetes, smoking and dyslipidemia were taken into account in relation to hypertension. In addition, it is assorted some important biochemical parameters such as total cholesterol, triglycerides, low density lipoprotein, high density lipoprotein and fasting blood glucose in the studied population and compared them with available data. The findings revealed that Libyan population not only old age and male gender are potential threat for an early hypertensive but other variables like diabetes, cardiovascular diseases, dyslipidemia, obesity, migraine and obstructive apnea are also playing an important role in hypertension complications. It is concluded that this population is more prone to hyperglycemia and high pulse pressure with hypertension in the majority of survey population

Abstract Mel Frequency Cepstral Coefficients (MFCCs) are the most widely used features in the majority of the speaker and speech recognition applications. Since 1980s, remarkable efforts have been undertaken for the development of these features. Issues such as use suitable spectral estimation methods, design of effective filter banks, and the number of chosen features all play an important role in the performance and robustness of the speech recognition systems. This paper provides an overview of MFCC's enhancement techniques that are applied in speech recognition systems. The details such as accuracy, types of environments, the nature of data, and the number of features are investigated and summarized in the table combined with the corresponding key references. Benefits and drawbacks of these MFCC's enhancement techniques have been discussed. This study will hopefully contribute to raising …

Abstract— Diagnosing skin cancer in its early stages is a challenging task for dermatologists given the fact that the chance for a patient’s survival is higher and hence the process of analyzing skin images and making decisions should be time efficient. Therefore, diagnosing the disease using automated and computerized systems has nowadays become essential. This paper proposes an efficient system for skin cancer detection on dermoscopic images. It has been shown that the statistical characteristics of the pigment network, extracted from the dermoscopic image, could be used as efficient discriminating features for cancer detection. The proposed system has been assessed on a dataset of 200 dermoscopic images of the ‘Hospital Pedro Hispano’ [1] and the results of cross-validation have shown high detection accuracy.

The aim of this paper is to introduce and study a new class of Bazilevič p-valent function of order β by using the subordination concept between this function and a generalized derivative operator. Some interesting properties are also obtained