تم تحضرالكاربون المنشط النانوي (NAC) من مخلفات النباتات باستخدام فرن الميكروويف وذلك بخلط نسب مختلفة من قشور الرز مع مخلفات البولي إثلين واطىء الكثافة (LDPE) وكاربونات البوتاسيوم كعامل تنشيط كيميائي في عملية الكربنة، تم تنفيذ كل من عمليتي الكربنة والتنشيط عن طريق تشعيع الموجات الدقيقة بقوة 600 واط لمدة 15 دقيقة، وبنسب وزنية مختلفة لكل من قشور الرز والمخلفات البوليمر. تم قياس المساحة السطحية الخارجية لعينات

يتناول هذا البحث التحول الجذري في الفن الحديث من الكيان المادي (كاللوحة) إلى "الفكرة" كمحور للعمل الفني، مركزًا على الفن المفاهيمي وإشكالية "اللامُقتنى". تم في المبحث الأول تحليل العلاقة المعقدة بين الفن والسوق، وكيف سعى الفن المفاهيمي إلى تفكيك منطق التسلّع من خلال أعمال يصعب اقتناؤها، مثل عمل "الموزة" لكاتيلان، الذي أثار جدلاً حول جدوى التسعير في الفن. أما المبحث الثاني فقد ركّز على فن التركيب كوسيط فني ي

The study has tackled three important variables on the strategic and organizational level, that are : (Administrative skill, strategic Entrepreneurship  and organizational flexibility). Through the statistical analysis is, the research hers have sought to identify the relation among them. The study has been applied on a sample of (44) private banks in Iraq. A questionnaire, which has been designed according to a number of international standards, has been used. It's made of (29) items that cover the three variables to test their hypotheses. A number of statistical tools have been used A number of conclusion have been reached and recommendations have also been suggested.

Deep convective clouds tend to exert large but compensating effects in the shortwave and longwave that largely cancel, leading to a muted effect on net cloud radiative effect. Multi-layered cloud systems, ubiquitous in both hemispheres, exert strong cooling influence on Earth of around 6.1 W m-2.

Since the COVID-19 pandemic alarm was made by the severe acute respiratory syndrome (SARS)-coronavirus (CoV) 2, several institutions and agencies have pursued to clarify the viral virulence and infectivity. The fast propagation of this virus leads to an unprecedented rise in the number of cases worldwide. COVID-19 virus is exceptionally contagious that spreads through droplets, respiratory secretions, and direct contact. The enveloped, single-stranded RNA virus has a specific envelop region called (S) region encoding (S protein) that specifically binds to the host cell receptor. Viral infection requires receptors' participation on the host cell membrane's surface, a  key- step for the viral invasion of susceptible cells.

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) or 2019 novel coronavirus (2019-nCoV) is quickly spreading to the rest of the world, from its origin in Wuhan, Hubei Province, China. And becoming a global pandemic that affects the world's most powerful countries. The goal of this review is to assist scientists, researchers, and others in responding to the current Coronavirus disease (covid-19) is a worldwide public health contingency state. This review discusses current evidence based on recently published studies which is related to the origin of the virus, epidemiology, transmission, diagnosis, treatment, and all studies in Iraq for the effect of covid-19 diseases, as well as provide a reference for future research

Because the Coronavirus epidemic spread in Iraq, the COVID-19 epidemic of people quarantined due to infection is our application in this work. The numerical simulation methods used in this research are more suitable than other analytical and numerical methods because they solve random systems. Since the Covid-19 epidemic system has random variables coefficients, these methods are used. Suitable numerical simulation methods have been applied to solve the COVID-19 epidemic model in Iraq. The analytical results of the Variation iteration method (VIM) are executed to compare the results. One numerical method which is the Finite difference method (FD) has been used to solve the Coronavirus model and for comparison purposes. The numerical simulat

Patients infected with the COVID-19 virus develop severe pneumonia, which typically results in death. Radiological data show that the disease involves interstitial lung involvement, lung opacities, bilateral ground-glass opacities, and patchy opacities. This study aimed to improve COVID-19 diagnosis via radiological chest X-ray (CXR) image analysis, making a substantial contribution to the development of a mobile application that efficiently identifies COVID-19, saving medical professionals time and resources. It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. The MobileNetV2 deep-learning model performances were evaluated