research centers


Search results: Found 2

Listing 1 - 2 of 2
Sort by

Article
Interpolation the Missing Data of Air Temperature by Using Artificial Intelligence for Selected Iraqi Weather Stations
استكمال البيانات المفقودة لدرجة حرارة الهواء باستخدام الذكاء الاصطناعي لمحطات طقس عراقية مختارة

Author: Osama T. AL-Taai أسامة طارق الطائي
Journal: Diyala Journal For Pure Science مجلة ديالى للعلوم الصرفة ISSN: 83732222 25189255 Year: 2014 Volume: 10 Issue: 1 Pages: 102-111
Publisher: Diyala University جامعة ديالى

Loading...
Loading...
Abstract

In this work, a branch of artificial intelligence was employed to predict the monthly mean of daily air temperature for different target station using the available data of neighboring stations, which were used as the reference stations. The daily air temperature data, collected by the Iraqi Meteorological Office (IMO) for 14 stations, which cover different Iraqi provinces, were used. The long term air temperature data covers the period between 1993 and 2008. These data were classified in parts according to the correlation coefficients relating them. The reference stations data, as on input layer of the neural network and the hidden layers and neurons were defined; the monthly mean of air temperature for the target station was utilized as an output layer of the neural network. Multi-Layer Perceptron’s learning algorithm was applied in present work. The hidden layer and output layer of the network included Sigmoid as an activation function. Finally the interpolated data by (ANN) model were compared with measured data shows very good agreement with Correlation Coefficients (r) ranges between 0.9980 and 0.9767 also Root Mean Square Error (RMSE) ranges from 0.629 °C to 2.221 °C, Mean Percentage Error (MPE) ranges between 0.264 °C and 3.64 °C and Mean Absolute Error (MAE) ranges between 0.367 °C and 1.62 °C for Mosul and Najaf stations respectively.

في هذا العمل استخدم فرع الذكاء الاصطناعي للتنبؤ بالمعدل الشهري لدرجة حرارة الهواء اليومية لمحطة مستهدفة مختلفة باستخدام البيانات المتاحة من المحطات المجاورة والتي كانت تستخدم كمحطات مرجعية. إن بيانات درجة حرارة الهواء اليومية المستخدمة تم الحصول عليها من دائرة الأنواء الجوية العراقية (IMO) ولأربعة عشر محطة والتي تغطي مختلف المحافظات العراقية. وقد أخذت مدة طويلة من بيانات درجة حرارة الهواء تغطي الفترة للسنوات بين 1993 و 2008. ولقد تم تصنيف هذه البيانات إلى أجزاء وفقا لمعاملات الارتباط المتعلقة بها. وحددت مراكز البيانات المرجعية على طبقة المدخلات للشبكة العصبية والطبقات المخفية والخلايا العصبية المعرفة، واستخدم المعدل الشهري لدرجة حرارة الهواء للمحطة المستهدفة باعتبارها طبقة المخرجات من الشبكة العصبية وتم تطبيق العمل على خوارزمية. الطبقة المخفية وطبقة الإخراج تضمنت خوارزمية من نوع Sigmoid كدالة تنشيط وأخيرا تمت مقارنة البيانات المقاسة مع بيانات نموذج (ANN) حيث دلت على توافق جيد جدا لمعاملات الارتباط (r) والتي تراوحت بين 0.9980 و0.9767 وكذلك الجذر التربيعي لمعدل الخطأ ) (RMSE والتي تراوحت بين °C 0.629 و °C 2.221 ومعدل الخطأ النسبي (MPE) والتي تراوحت بين °C 0.264 و °C 3.64 ومعدل الخطأ المطلق(MAE) والتي تراوحت بين °C 0.367 و °C 1.62 لمحطتي الموصل والنجف على التوالي.


Article
Pleural Fluid C-Reactive Protein in the Differential Diagnosis of Infectious and Malignant Pleural Effusion at Baghdad Teaching Hospital (Single Center Study).

Journal: Iraqi Academic Scientific Journal المجلة العراقية للاختصاصات الطبية ISSN: 16088360 Year: 2018 Volume: 17 Issue: 1 Pages: 22-29
Publisher: The Iraqi Borad for Medical Specialization المجلس العراقي للاختصاصات الطبية

Loading...
Loading...
Abstract

ABSTRACT:BACKGROUND: C-reactive protein (CRP) is an acute phase reactant produced primarily by hepatocytes; its production is stimulated by systemic inflammation of either infectious or noninfectious origin. The cytokines that are released during the inflammation are the main stimulants of the acute phase reactants. Interleukin-6 is the main stimulant cytokine of the synthesis of most acute-phase reactants.OBJECTIVE:To differentiate between infectious and malignant pleural effusions by measuring pleural fluid CRP titer.MATERIALS AND METHODS: This was a hospital-based cross-sectional study at Baghdad teaching hospital medical wards conducted from the 1st of November 2014 up to the 31th of august 2015.Fifty patients with pleural effusion proved by the history, examination,Chest imaging and pleural tapping included in this study, all proved to haveAn exudative pleural effusion by the light criteria.RESULTS: Showing statistically significant differences in CRP titer between:-1-Parapneumonic pleural effusion (PPE) and malignant pleural effusion (MPE)2-TB pleural effusion (TBPE) and malignant pleural effusion (MPE).CONCLUSION: Pleural fluid C-reactive protein titer can be used as an aid in the differentiation between some infectious causes of pleural effusion and malignant pleural effusion as there is a statistically significant difference between the Pleural fluid C-reactive protein titer of the infectious pleural effusion and the malignant pleural effusion. .

Listing 1 - 2 of 2
Sort by
Narrow your search

Resource type

article (2)


Language

English (2)


Year
From To Submit

2018 (1)

2014 (1)