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Adaptation re-use of traditional cafés in Erbil, Iraq
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Purpose

This paper aims to shed light on adaptive reuse in traditional architecture (TA) in Erbil, Iraq.

Design/methodology/approach

An inductive approach and qualitative method were used in this study. The inductive research approach was used because there was no clear image of adaptive reuse in traditional cafés (TCs) in Erbil. Besides, there are no studies of TCs in Erbil particularly. Thus, there is a lack of knowledge about what adaptations took place in TCs in Erbil. The qualitative method extracted themes and issues from case studies of four TCs in Erbil citadel's buffer zone. This included a physical survey and observation of the TCs in Erbil and 18 semi-structured interviews with the owners, servers and visitors.

Findings

The analysis shows the flexibility of the TCs in Erbil as a face of adaptive re-use (AR) which is explained through the capacity linked to space modifications, the addition of modern devices, the function linked to space modifications, service addition, the condition linked to space modifications and the addition of modern devices. Also, TCs in Erbil has a spatial identity and architectural value that proves it is worthy enough to be preserved through unique spirituality linked to preserving the place.

Research limitations/implications

The findings are limited to the cases of TCs in mountain regain and may not be applicable or appropriate to other cafés in other different countries.

Originality/value

There are three aspects of authenticity in the current research. Firstly, the TCs in Erbil have not been studied before. Secondly, TCs that have been discovered have made AR of themselves whilst maintaining their original function-serving beverages, to stimulate creativity. Thirdly, most of the studies of AR have dealt with historical and heritage architecture, whilst the current research paper is dealing with TA.

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Thu Mar 31 2022
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It is well known that the rate of penetration is a key function for drilling engineers since it is directly related to the final well cost, thus reducing the non-productive time is a target of interest for all oil companies by optimizing the drilling processes or drilling parameters. These drilling parameters include mechanical (RPM, WOB, flow rate, SPP, torque and hook load) and travel transit time. The big challenge prediction is the complex interconnection between the drilling parameters so artificial intelligence techniques have been conducted in this study to predict ROP using operational drilling parameters and formation characteristics. In the current study, three AI techniques have been used which are neural network, fuzzy i

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Fri Feb 08 2019
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Sat Sep 05 2020
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Prevalence of Oral Manifestations of Inflammatory Bowel Disease in Patients Admitted to Sulaymaniyah teaching hospital – Iraq
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Sun Jan 01 2023
Journal Name
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Knowledge and Attitude of students about Varicella Infection in AL-Kindy College of Medicine, Baghdad, Iraq
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Tue Dec 01 2015
Journal Name
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Scopus
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