مشكلة البحث:

يبقى الفن ولا زال في جميع حالات التعاقب البشري ومراحل التطور الانساني الاكثر انطلاقة وتميزاً في التعبير عن واقع الانسان وعن مشاعره وانفعالاته وافكاره ذات الصلة بتأثيرات البيئة المحيطة به.

والفن ولاسيما (الرسم) يمثل وسيلة من وسائل التعبير الفني بل يكاد يكون الرسم وسيلة الانسان الاولى التي عبر فيها بخطوط مرئية عن مجالات حياته وعلاقته بالبيئة التي عاش فيها، ويقيناً ان الخطوط هذه وكما شكلتها يد الانسان وظهرت بصيغة رموز وصور ذات دلالات او معانٍ عبرت عن انفعالاته واهتماماته وحالته النفسية الداخلية من جهة، وعلاقته بالبيئة التي يعشيها بجميع ظواهرها الاجتماعية والطبيعية من جهة اخرى، في اشكال ظهرت في البداية على جدران الكهوف والقصور والمعابد والمنازل التي استخدمها كاوراق للرسم عليها وفيما تركه ذلك من ادلة على التعبير الفني لمكونات بيئته.

ومع ان وسائل الرسم وطرائق التعبير عنه قد تعددت وتنوعت عبر الاف السنين الا ان ميزة التفرد الرئيسة للرسم ظلت وستبقى تمثل حاجة نفسية يلجأ اليها الانسان بوصفها الوسيلة الاقرب وضوحاً الى نفسه والاعمق اثراً في وجدانه، كون ان الرسم من اكثر الفنون تماساً بملامح حياته ومن اشدها تأثيراً بشعوره وادراكه بدليل ان الحضارات الانسانية سعت ولقرون عديدة الى ان تعبر عن تجربتها الانسانية بالرسوم التي ينجزها ابناؤها.

ان هذا التوجه يعزز القناعة بفاعلية تلك الرسوم وفي تهيئة ذلك الترابط بين الانسان وما يعتمل في نفسه وفي كل ما في بيئته من مظاهر واشكال وما تحتويه من مشاهد تتمثل في رسومه وفي رؤيته ونظراته الى البيئة وتذوق مظاهرها وما يحسه من اشكال الشخوص والكائنات الحيوانية والنباتية والحوادث التي يريد التعبير عنها.

ويشير (هربرت ريد – 1975) بهذا الصدد الى ان "الفن استعداد متوافر لدى الافراد بدرجات متفاوتة ويطبقونه في كل ما يقع تحت احاسيسهم وعواطفهم ومشاعرهم في حياتهم اليومية، وهو يكشف القيم الجمالية، فبواسطته نستطيع ان نتعرف على مكامن الجمال والقبح والتمييز بينهما في الاشياء التي تقع بالبيئة المحيطة بنا، وكذلك فانه ينمي الذوق والاحساس بالجمال وينمي الوجدان كونه متغلغل في حياة الانسان منذ القدم اذ اصبحت كل الاشياء التي يصنفها الانسان خاضعة الى حد كبير للتشكيل الفني.

 

 

In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compare

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Objective: To identify causes of maternal death in Mizan Aman and Gebretsadik shawo general hospitals
Methodology: A case control study on 595 charts, 119 cases and 476 controls was conducted in Mizan
Aman & Gebretsadik shawo general hospitals. Data was analyzed by STATA 13.1. Propensity score
matching analysis was used to see causes of maternal death.
Results: Hemorrhage were the main direct causes of maternal death which accounts 47.9% (β =0.58
(95% CI (0.28,0.87)) in hospital but when projected to population based the sample (β =0.26 (95% CI
(0.22,0.31)). Followed by infection 36 (25.21%) (β = 0.50 (95% CI (0.08, 0.92)). when projected to
population based the sample PIH 7.6%) is significant cause (β = 0.16

Abstract

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