One of the most Interesting natural phenomena is clouds that have a very strong effect on the climate, weather and the earth's energy balance. Also clouds consider the key regulator for the average temperature of the plant. In this research monitoring and studying the cloud cover to know the clouds types and whether they are rainy or not rainy using visible and infrared satellite images. In order to interpret and know the types of the clouds visually without using any techniques, by comparing between the brightness and the shape of clouds in the same area for both the visible and infrared satellite images, where the differences in the contrasts of visible image are the albedo differences, while in the infrared images is the temperature d

Echocardiography is a widely used imaging technique to examine various cardiac functions, especially to detect the left ventricular wall motion abnormality. Unfortunately the quality of echocardiograph images and complexities of underlying motion captured, makes it difficult for an in-experienced physicians/ radiologist to describe the motion abnormalities in a crisp way, leading to possible errors in diagnosis. In this study, we present a method to analyze left ventricular wall motion, by using optical flow to estimate velocities of the left ventricular wall segments and find relation between these segments motion. The proposed method will be able to present real clinical help to verify the left ventricular wall motion diagnosis.

Detection of early clinical keratoconus (KCN) is a challenging task, even for expert clinicians. In this study, we propose a deep learning (DL) model to address this challenge. We first used Xception and InceptionResNetV2 DL architectures to extract features from three different corneal maps collected from 1371 eyes examined in an eye clinic in Egypt. We then fused features using Xception and InceptionResNetV2 to detect subclinical forms of KCN more accurately and robustly. We obtained an area under the receiver operating characteristic curves (AUC) of 0.99 and an accuracy range of 97–100% to distinguish normal eyes from eyes with subclinical and established KCN. We further validated the model based on an independent dataset with

Lymphoma is a cancer arising from B or T lymphocytes that are central immune system ‎components. It is one of the three most common cancers encountered in the canine; ‎lymphoma affects middle-aged to older dogs and usually stems from lymphatic tissues, ‎such as lymph nodes, lymphoid tissue, or spleen. Despite the advance in the management of ‎canine lymphoma, a better understanding of the subtype and tumor aggressiveness is still ‎crucial for improved clinical diagnosis to differentiate malignancy from hyperplastic ‎conditions and to improve decision-making around treating and what treatment type to use. ‎This study aimed to evaluate a potential novel biomarker related to iron metabolism,

يكتسب موضوع تدريب وتطوير العاملين أهمية بالغة في الظروف الاقتصادية الحالية التي تسودها مفاهيم وتوجهات جديدة كعولمة الاقتصاد ورأس المال المعرفي والفكري، وحيث صارت المعارف والمهارات والقابليات التي يمتلكها العاملون محركاً أساسياً باتجاه النجاح، وعنصراً مهماً في زيادة فاعلية منشأة الأعمال، وإدامة وجودها واستمرارها.

إن العاملين المدربين بشكل جيد على عمليات المنشأة وطبيعة المواد التي تستخدمها وإنتاجه

תקציר

הילדות נחשבה השלב חשוב בתולדות האדם, וגם המשפיע ביותר בהיווצרות של אישיותו, משום שבו תתהווה את הליבה של ציוני דרך אישיותו של האדם, ויתגבש בו את ציוני דרכו ותכונותו שלו, וגם תשרטט את הבסיס העיקרי של מה יהיה האדם בעתיד. היות והילדות נשארה היא והשלכותיה בקרבו של האדם, עם זכרונותיה היפות והעצובים כאחד, במחקר זה עסקנו בילדותו של הסופר עמוס עוז כסיסמה לפענוח לדמותו, ולספרותו, כמו כן לכאבים שהעברו