Preferred Language
Articles
/
x-bf_p4BmraWrQ4d2mg0
Reinvigorating cultural meaning through spatial experience: A triadic model for place-based architectural learning
...Show More Authors

Historical cultural environments are a repository of values and symbols that pass down across generations through spatial experiences. Despite their intellectual and cultural potential, their role in fostering belonging and identity has declined; they are often viewed as silent landmarks, isolated from lived experiences. This highlights the need for an integrated model that makes spatial experience a stimulating process for reinvigorating the meaning inherent in historical contexts and reconnecting the new generation with their cultural roots. This research aims to explore how cultural meaning in historical contexts can be reactivated through spatial experience. To achieve this, the study proposes a triadic model – physical encounter (PE), emotional connection (EC), and imaginative projection (IP) – as a framework. The study adopted a qualitative approach that explores a learning experience consisting of two interactive phases, one within a historical and cultural context, preceded by a formal educational environment, to track the transformations of the interpretive patterns. Students from the Department of Architecture are involved in this process, producing visual storytelling outputs analyzed by ‘MAXQDA Analytics Pro’. The results indicate that spatial experience enhanced spatial awareness and deepened their emotional response by transforming sensory impressions into symbolic meanings. Comparative pre-post analysis showed that after the on-site immersion, more spatial awareness (SA), atmospheric response (AR), symbolic meaning (SM), and transformative visualization (TV) became intensified, indicating more intense experience. Emotional Connection was a mediating dimension between embodied perception and imaginative reinterpretation, and transition of learning was realized through a multidimensional and not a linear process. Imagination contributed as a dynamic dimension, shifting towards context-rooted visualization. The research provides an interpretive framework that demonstrates how spatial experience can be transformed into a means of reinvigorating cultural meaning and enhancing awareness of identity. The triadic model represents an effective tool in education and training.

Scopus Crossref
View Publication
Publication Date
Thu Jan 25 2018
Journal Name
International Journal Of Current Engineering And Technology
Model-Based Design of Piezoelectric Patches used to Repair Damaged Beams under Static Load
...Show More Authors

Static loads exposing to mechanical components can cause cracks, which are lead to form stress concentration regions causing the failure of structure. Generally, from 80% to 90% of structure failure is due to initiation of the cracks. Therefore, it is necessary to repair the crack and reduce its effect on the structure where the effect of the crack is modelled as an additional flexibility to the structure. In the last few years, piezoelectric materials have been considered as one of the most favourable repairing techniques. The piezoelectric material converts the applied voltage on it to a bending moment to counter the bending moment caused by the external load on the beam at the crack location. In this study, the design of the piez

... Show More
View Publication Preview PDF
Crossref
Publication Date
Sun Sep 11 2022
Journal Name
Journal Of Petroleum Research And Studies
Distribution of Petrophysical Properties Based on Conceptual Facies Model, Mishrif Reservoir/South of Iraq
...Show More Authors

A 3D geological model is an essential step to reveal reservoir heterogeneity and reservoir properties distribution. In the present study, a three-dimensional geological model for the Mishrif reservoir was built based on data obtained from seven wells and core data. The methodology includes building a 3D grid and populating it with petrophysical properties such as (facies, porosity, water saturation, and net to gross ratio). The structural model was built based on a base contour map obtained from 2D seismic interpretation along with well tops from seven wells. A simple grid method was used to build the structural framework with 234x278x91 grid cells in the X, Y, and Z directions, respectively, with lengths equal to 150 meters. The to

... Show More
View Publication
Crossref (1)
Crossref
Publication Date
Thu Dec 01 2011
Journal Name
Journal Of Economics And Administrative Sciences
Eliminate harmful side – effects of Controls System by designing Activity – Based Responsibility Accounting model
...Show More Authors

This research has come out with that, function-based responsibility accounting system has harmful side – effects preventing it of achieving its controlling objective, that is, goal congruence, which are due to its un integrated measures, its focus on measuring measurable behaviors while neglecting behaviors that are hardly measured, and its dependence on standard operating procedures.

In addition, the system hypotheses and measures are designed to fit previous business environment, not the current environment.

The research has also concluded that the suggestive model, that is, activity-based responsibility accounting is designed to get ride of harmful side – effects of functi

... Show More
View Publication Preview PDF
Crossref
Publication Date
Tue Jun 24 2025
Journal Name
Baghdad Science Journal
Accelerating Face Mask Detection Training Model Based on Multi-GPUs and Multi-core CPU
...Show More Authors

Modern machine-learning applications require GPUs, and modern platforms can leverage numerous GPUs on one or more machines to increase performance. Contemporary deep-learning models are too huge for CPU or GPU training. Training these models with many GPUs without performance degradation is necessary to train them rapidly and maximize GPU consumption. Thus, training deep convolutional neural networks (DCNN) with multiple GPUs has become necessary for improving training. Therefore, we presented a parallel design and development of an efficient model for enhancing face mask CNN performance and improving resource efficiency. This DCNN model is a parallel training system over multiple GPUs, a multi-core CPU, and a multi-process GPU platform wit

... Show More
View Publication Preview PDF
Scopus Crossref
Publication Date
Sun Jan 01 2017
Journal Name
Statistical Applications In Genetics And Molecular Biology
Mixture model-based association analysis with case-control data in genome wide association studies
...Show More Authors
Abstract<p>Multilocus haplotype analysis of candidate variants with genome wide association studies (GWAS) data may provide evidence of association with disease, even when the individual loci themselves do not. Unfortunately, when a large number of candidate variants are investigated, identifying risk haplotypes can be very difficult. To meet the challenge, a number of approaches have been put forward in recent years. However, most of them are not directly linked to the disease-penetrances of haplotypes and thus may not be efficient. To fill this gap, we propose a mixture model-based approach for detecting risk haplotypes. Under the mixture model, haplotypes are clustered directly according to their estimated d</p> ... Show More
View Publication
Scopus (4)
Crossref (2)
Scopus Clarivate Crossref
Publication Date
Fri Dec 02 2022
Journal Name
Journal Of Physical Education
The Effect of Jigsaw Strategy on Learning Spiking in Volleyball for Sophomore Students
...Show More Authors

The research aimed at designing teaching program using jigsaw in learning spiking in volleyball as well as identifying the effect of these exercises on learning spring in volleyball. The researchers used the experimental method on (25) students as experimental group and (27) students as controlling group and (15) students as pilot study group. The researchers conducted spiking tests then the data was collected and treated using proper statistical operations to conclude that the strategy have a positive effect in experimental group. Finally, the researchers recommended using the strategy in making similar studies on other subjects and skills.

Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
Spatial Variation of Respiratory Diseases in Najaf Governorate in 2016
...Show More Authors

The relationship between respiratory diseases and natural geographical variables relative to temperature, relative humidity, wind and solar radiation is a strong one.
The environmental factors have impact on increasing the proportion of people with respiratory diseases in the province of Najaf, especially industrial pollution and working conditions as well as the economic level.
Ah-Mishkhab was in the first rank in terms of the number of people infected with respiratory diseases reached 135177 and 41%, followed by Najaf governorate which reached its numbers to 77801 and 23%. The district of Kufa ranked third with 42051 and 13%, and the other administrative units at fourth and fifth rank respectively.
When comparing diseases and

... Show More
View Publication Preview PDF
Publication Date
Wed Sep 18 2024
Journal Name
مجلة العصر للعلوم الانسانية والاجتماع
Spatial Analysis of the Pollution of the Euphrates River Water in the Abu Ghraib District
...Show More Authors

The research investigates the physical characteristics of the Euphrates River water in the Abu Ghraib district, where the river flows southwest, demarcating it from Anbar Governorate. Geographically, the area lies between latitudes 33°8'40" - 33°15'23" N and longitudes 43°50'21" - 44°1'24" E. The study is based on fieldwork and laboratory analyses aimed at detecting pollution by analysing four physical parameters during summer and winter. These physical properties include water temperature, turbidity, dissolved solids, and electrical conductivity. To elucidate pollution levels, the study area was divided into ten sites along the river. By examining pollution indicators through samples taken from these sites and comparing them to

... Show More
View Publication
Crossref
Publication Date
Fri Feb 28 2025
Journal Name
Energies
Synergizing Machine Learning and Physical Models for Enhanced Gas Production Forecasting: A Comparative Study of Short- and Long-Term Feasibility
...Show More Authors

Advanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m

... Show More
View Publication Preview PDF
Scopus (3)
Crossref (4)
Scopus Clarivate Crossref
Publication Date
Fri Sep 01 2017
Journal Name
International Journal Of Science And Research (ijsr)
Favism Clinical Experience in Al-Elwia Pediatric Teaching Hospital in Iraq
...Show More Authors