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Advancing SDG: Towards Effective Sustainability Reporting for Green Universities Via XBRL and Its Impact on Green Auditing Quality
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Objective: This study aims to examine how implementing Extensible Business Reporting Language (XBRL) enhances the efficiency and quality of environmental audits and sustainability reporting in eco-friendly universities. Aligned with Sustainable Development Goal 12 (Responsible Consumption and Production), the study emphasizes promoting transparency and precision in sustainability reporting to encourage responsible management of resources within academic institutions.   Theoretical Framework: The importance of our study is evident in the importance of accurate and transparent reports in the development of environmental performance with theories of sustainable reporting and environmental auditing. One of the most important digital reporting techniques that is essential to raise the level of these reports is XBRL.   Method: We collected data from a sample of 100 universities that use XBRL for sustainability reporting to build a quantitative research strategy. Highlighting environmental transparency and the importance of green auditing, the relationship between XBRL adoption and reporting quality was studied.   Results and Discussion: The results showed that XBRL greatly enhances environmental reporting's precision and openness, which helps to advance green auditing procedures. Nevertheless, difficulties such a lack of technical know-how and the high implementation costs were noted.   Research Implications: The study highlights the need for enhanced training and institutional support to maximize the benefits of XBRL in universities, with implications for improving sustainability reporting and green auditing practices.   Originality/Value: This research contributes to the field by demonstrating the effectiveness of XBRL in sustainability reporting within green universities, offering practical recommendations for overcoming implementation challenges and enhancing environmental transparency.

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Publication Date
Wed Aug 30 2023
Journal Name
Al-kindy College Medical Journal
Lack of Association of the HMGA1 Gene Variants with Metabolic Syndrome Risk and Response to Oral Anti-Diabetic Drugs
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Background: Metabolic syndrome (Mets) is partially heritable. High mobility group AT-hook1 (HMGA1), an architectural transcription factor, affects the homeostasis of glucose. The marked inter-individual differences between T

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Publication Date
Sun Dec 30 2012
Journal Name
Al-kindy College Medical Journal
Evaluation of Fludarabine, and granulocyte colony stimulating factor in treatment of efractory/Relapsed Acute Leukemias in adult Iraqi patients
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Background: Refractory/relapsed acute leukemia has always been a challenging problem for hematologist. Over the past decade emphasis has been made in the development of regimens containing fludarabine, combined with cytosine arabinoside for the treatment of refractory/relapsed acute leukemias. The aim of this study is to evaluate the efficacy and toxicity of the combination of fludarabine, high dose cytarabine, and granulocyte colony stimulating factor in refractory relapsed cases of acute leukaemia,
Methods: a prospective study is being conducted at the national center of hematology and hematology unit /Baghdad teaching hospital from July 2008 to July 2010.Twenty Patients with refractory/relapsed acute leukemia were treated with flud

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Publication Date
Wed Dec 30 2015
Journal Name
College Of Islamic Sciences
What is the contract of cultivating the land of the waqf in Islamic jurisprudence and the Algerian Awqaf law
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What is the contract of cultivating the land of the waqf in Islamic jurisprudence and the Algerian Awqaf law

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Publication Date
Sun Jan 01 2017
Journal Name
Aip Conference Proceedings
Macro controlling of copper oxide deposition processes and spray mode by using home-made fully computerized spray pyrolysis system
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Publication Date
Thu Feb 01 2024
Journal Name
Baghdad Science Journal
Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model
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The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow

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Publication Date
Sun Jun 01 2025
Journal Name
Journal Of Physics: Conference Series
Classification of East Shatt al-Arab Using the Novel Scene Optimum Index Factor (SOIF) and Spectral Angle Mapper classifier
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Abstract<p>Accurate land use and land cover (LU/LC) classification is essential for various geospatial applications. This research applied a Spectral Angle Mapper (SAM) classifier on the Landsat 7 (ETM+ 2010) & 8 (OLI 2020) satellite scenes to identify the land cover materials of the Shatt al-Arab region which is located in the east of Basra province during ten years with an estimate of the spectral signature using ENVI 5.6 software of each cover with the proportion of its area to the area of the study region and produce maps of the classified region. The bands of these datasets were analyzed using the Optimum Index Factor (OIF) statistic. The highest OIF represents the best and most appropr</p> ... Show More
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Publication Date
Tue Jan 01 2019
Journal Name
International Journal Of Civil Engineering And Technology
PREDICTION OF BEARING CAPACITY, ANGLE OF INTERNAL FRICTION, COHESION, AND PLASTICITY INDEX USING ANN (CASE STUDY OF BAGHDAD, IRAQ).
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In the last few years, the use of artificial neural network analysis has increased, particularly, in geotechnical engineering problems and has demonstrated some success. In this research, artificial neural network analysis endeavors to predict the relationship between physical and mechanical properties of Baghdad soil by making different trials between standard penetration test, liquid limit, plastic limit, plasticity index, cohesion, angle of internal friction, and bearing capacity. The analysis revealed that the changes in natural water content and plastic limit have a great effect on the cohesion of soil and the angle of internal friction, respectively. . On the other hand, the liquid limit has a great impact on the bearing capacity and

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Publication Date
Wed Jan 01 2020
Journal Name
Annals Of Tropical Medicine And Public Health
Synthesis and characterization of new phthalimide with 6- mercaptopurine or 2- aminothiazole conjugate used dithiocarbamate spacer as anticancer agents
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Publication Date
Sun Apr 30 2023
Journal Name
Iraqi Journal Of Science
Numerical and Analytical Solutions of Space-Time Fractional Partial Differential Equations by Using a New Double Integral Transform Method
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  This work discusses the beginning of fractional calculus and how the Sumudu and Elzaki transforms are applied to fractional derivatives. This approach combines a double Sumudu-Elzaki transform strategy to discover analytic solutions to space-time fractional partial differential equations in Mittag-Leffler functions subject to initial and boundary conditions. Where this method gets closer and closer to the correct answer, and the technique's efficacy is demonstrated using numerical examples performed with Matlab R2015a.

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Publication Date
Tue Jul 06 2021
Journal Name
Animals
Comparison of the Genetic Structure of Invasive Bigheaded Carp (Hypophthalmichthys spp.) Populations in Central-European Lacustrine and Riverine Habitats
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Bigheaded carps (bighead carp, Hypophthalmichthys molitrix, and silver carp, Hypophthalmichthys nobilis) and their hybrids play an important ecological and economic role in their original habitat, while their introduced stocks may pose serious ecological risks. To address questions about the persistence and invasiveness of these fish, we need to better understand their population structures. The genetic structures of bigheaded carp populations inhabiting Lake Balaton and the Tisza River were examined with ten microsatellite markers and a mitochondrial DNA marker (COI). The Lake Balaton stock showed higher genetic diversity compared with the Tisza River stock. Based on hierarchical clustering, the Tisza population was characterized o

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