A new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen level and ignored details coefficients, and then approximation coefficients are windowed by a rectangular window and fed to the linear predictor. Levinson Durbin algorithm is used to compute LP coefficients, reflection coefficients and predictor error. The compress files contain LP coefficients and previous sample. These files are very small in size compared to the size of the original signals. Compression ratio is calculated from the size of th

Background: Fibromyalgia syndrome (FMS) is characterized by widespread musculoskeletal pain with associated symptoms including stiffness, fatigue, sleep disturbance and functional impairment. FMS is depicted by chronic pain for at least three months and tender points identified by the American Collage of Rheumatology (ACR). Although several hypotheses have been developed; the cause of FMS is currently unknown.
This study aims to evaluate the contribution of serum apolipoprotein (a) [Apo (a)], leptin, and serum lipid profile to the pathophysiology of FMS.
Subjects & Methods: The study has included 160 patients with FMS with age range (18-72) years and 60 control individuals who were age and sex matc

We will also derive practical solutions using predictive analytics. And this would include application making predictions with real world example from University of Faculty of Chariaa of Fez. As soon as student enrolled to the university, they will certainly encounter many difficulties and problems which discourage their motivation towards their courses and which pushes them to leave their university.
The aim of our article is to manage an investigation of the issue of dropping out their studies. This investigation actively integrates the benefits ofmachine learning. Hence, we will concentrate on two fundamental strategies which are KNN, which depends on the idea of likeness among data; and the famous strategy SVM, which can break the

Background: Outcome of management of patients with diabetic foot is difficult to predict. Assessment of variables in history , examination and investigations were analyzed with outcome of management and whether can be assigned as prognostic factors .
Methods: prospective study of 300 patients with diabetic foot in Baghdad teaching hospital during the period from April 2000 to March 2004,certain criteria was taken in history and examination, these were investigated and treated either by conservative procedure or amputation.
Results: most common age group was 50-59 years ( 33.3%). The male to female ratio was 2:1. Conservative debridement was performed in ( 60%) of patients while amputation was employed in&nb

Objective(s): The study aims to identify the role of sociodemographic factors in predicting the level of psychological hardiness of nurses.

Methodology: A descriptive correlational study conducted in the Medical City hospitals in the city of Baghdad during the period from November 1, 2022 to May 1, 2023 on a sample of 156 male and female nurses.  The validity of the quest