Selexipag is an orally selective long-acting prostacyclin receptor agonist, which indicated for the treatment of pulmonary arterial hypertension. It is practically insoluble in water ( class II, according to BCS). This work aims to prepare and optimized Selexipag nanosuspensions to achieve an enhancement in the in vitro dissolution rate. The solvent antisolvent precipitation method was used for the production of nanosuspension, and the effect of formulation parameters (stabilizer type, drug: stabilizer ratio, and use of co-stabilizer) and process parameter (stirring speed) on the particle size and polydispersity index were studied. SLPNS prepared with Soluplus® as amain stabilizer (F15) showed the smallest particle size 47nm wi

Flexible pavement design and analysis were carried out in the past with semi-experimental methods, using elastic characteristics of pavement layers. Due to the complex interferences between various layers and their time consumption, the traditional pavement analysis, and design methods were replaced with fast and powerful methods including the Finite Element Method (FEM) and the Discrete Element Method (DEM). FEM requires less computational power and is more appropriate for continuous environments. In this study, flexible pavement consisting of 5 layers (surface, binder, base, subbase, and subgrade) had been analyzed using FEM. The ABAQUS (6.14-2) software had been utilized to investigate the influence of the base layer depth on ver

ان التطور التكنولوجي في عناصر انتاج الصورة المسرحية يرتبط بعدة مفردات يتم توظيفها في رسم المنظر المسرحي والذي يرتبط بالمكان مباشرة ، اذ ان الية اشتغال السينوغرافيا في مسرح الطفل تتشكل عبر منظومة الضوء بأجهزتها المختلفة ومؤثراتها الصورية وتقنياتها المتقدمة، اذ يمكن ان يشكل الحضور الكمي والنوعي لتلك المفردتين مسبوقتين بمعرفة فنية تسمح بتحديد فنية التزامن وفنية التركيب، اي بمعنى ان كل قطعة ديكورية يجب ا

Background: Stromal inflammatory cells in malignant tissue have recently gained increasing interest. Unlike the extensive research on tumor‐infiltrating lymphocytes, published data about tumor‐infiltrating eosinophils in breast cancer are scarce. Furthermore, similar studies have yet to be conducted in Iraq.

Aims: The objective of this study is to examine the presence of eosinophilic infiltration by direct visualization using light microscopy and to analyze its relationship with other histological parameters in a group of Iraqi women diagnosed with invasive mammary cancer.

Methods and material: A retrospective study enrolled 90 h

Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed

كانت وسائل الاعلام- التقليدية والحديثة – وستبقى وسيلة مهمة لتدفق المعلومات والتعبير عن المشاعر ووصف الاحداث وتشكيل الرأي العام المحلي والدولي عن مختلف القضايا التي تهم الافراد والمجتمعات وفي مقدمتها قضايا العنف بمستوياته كافة ،والتطرف الديني والارهاب بكل مسمياته وستحاول هذه الدراسة ان تقدم اجابات عن اسئلة محددة تمثل الاطار النظري لدراسات مسحية ترصد النظريات التي ترسم الاطر النظرية الت

The Economist opinion (views) gathered on the great Importance’s of small enterprise on the production sectors at Developed or in developing countries, statistics indicate that these enterprise represent almost 90% of the total enterprises in most economies in the world.

Many of these enterprises have originated in Iraq since the beginning of last century and the question of financing these enterprises remained an issue facing the most of workers in this sector, because of the peculiarty of which are characterized by which as a lack of financial abilities and the difficulty of obtain the sources of financing in Iraq and considered the enterprise as the guarantor of fulfilling Financial obligations. Afte

Loud noise can be extremely harmful to the auditory system as well as to human health. Noise pollution is primarily caused by traffic noise. The study's goal was to determine how various vehicle types and speeds affected the amount of noise generated by traffic. The two factors were investigated at seven different arterial streets throughout Kirkuk city to measure the noise levels. The measurements were performed during peak hours to compare the result with WHO standards for noise specification. Traffic volume and vehicle speed are shown to be the key elements that determine an increase in noise level. 

Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. Based on the usage of memory, metaheuristics can be classified into algorithms with memory and without memory (memory-less). The absence of memory in some metaheuristics will lead to the loss of the information gained in previous iterations. The metaheuristics tend to divert from promising areas of solutions search spaces which will lead to non-optimal solutions. This paper aims to review memory usage and its effect on the performance of the main SI-based metaheuristics. Investigation has been performed on SI metaheuristics, memory usage and memory-less metaheuristics, memory char