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Whoever Abu Dawood said about him is weak in his Sunan
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Abstract

The research was limited to those whom Imam Abu Dawood

described in his Sunan as weak, so this research does not include

narrators who carried descriptions indicating weakness such as

ignorance or others, nor does it include hadiths that the Imam

described as weak.

The number of narrators whom Imam Abu Dawood described as

weak has reached six narrators, and my methodology was to

mention the words of Imam Abu Dawood, then transfer the

sayings of other advanced scholars, as well as the sayings of

Imam Abu Dawood in his other books, if any, to show the extent

of compatibility between these sayings.

I have reached the following results;

1.Imam Abu Dawood described six of his Sunan narrators as

weak.

2.Imam Abu Dawood agreed with other scholars regarding the

weak of three narrators.

3.There was a dispute between Imam Abu Dawood and some

imams regarding the weakness of three narrators, and the most

correct in this was the saying of Imam Abu Dawood.

4.His sayings that he mentioned in his Sunan are not mentioned in his other books.

 

 

 

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Publication Date
Thu May 05 2022
Journal Name
Al-kindy College Medical Journal
Time-Trend Analysis of Bladder Cancer and its Association with Bilhariziasis in Egypt
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Background: Both bladder cancer and schistosomiasis are endemic in Egypt. The former has a unique epidemiological pattern, which has been linked to bladder infestation by Schistosoma. The last decades have witnessed a great reduction in the infection rate of schistosomiasis and a decline in the incidence and changes in the patterns of bladder cancer. Whether these changes are linked to each other or a co-incidence is a subject of investigations.

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Mon Jan 01 2024
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Corporate And Business Strategy Review
The role of strategic agility in promoting organizational excellence: A descriptive analytical study
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Publication Date
Thu Sep 01 2022
Journal Name
Journal Of Medicine And Life
Arrhythmia related to hypertensive left ventricular hypertrophy in Iraqi patients: frequency and outcome
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Left ventricular hypertrophy (LVH) caused by high blood pressure is linked to increased mortality and arrhythmia risk. This study aimed to evaluate arrhythmia in hypertensive patients due to left ventricular hypertrophy (LVH). A cross-sectional study was performed, assessing participants' blood pressure, echocardiography and electrocardiography, and Holter monitoring in certain cases. There were 300 hypertensive patients >18 years attending the cardiology unit of Baghdad medical city. The study was conducted between January–June 2022. The electrocardiograms at rest for 300 adults with hypertension were investigated. 130 (43.5%) were females, and 170 (56.5%) were males. The mean age of participants was 58 years. Forty-nine (16.3

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Publication Date
Mon Jan 01 2018
Journal Name
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Metabolic Syndrome; Comparing the Results of Three Definition Criteria in an Iraqi Sample
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Publication Date
Wed Apr 15 2026
Journal Name
Experimental And Theoretical Nanotechnology
Remote sensing analysis: A decade of water surface changes in Lake Hamrin, Iraq
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The study of Lake Hamrin is of enormous importance in understanding changes in water levels and their impact on the local environment. It helps to clarify the role of climatic and human factors in the decline of its water resources from 2013 to 2023 in order to ensure sustainable solutions. Satellite imagery from Landsat 8 is used, and processing is performed using ArcGIS Pro and ENVI. The normalized vegetation index (NDVI) is applied to show the changes in the vegetation cover and reveal the amount of change in the surface water area of the lake. It is noted that the water area changes in one year as it increases in the rainy season and decreases in the summer, and it also varies from one year to another with the difference in the amount o

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Publication Date
Sat Apr 19 2025
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Early Detection of Autism Spectrum Disorder in Children Using Different Machine Learning Algorithms
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Abstract<p>Autism spectrum disorder(ASD) is a neurological condition marked by impaired communication abilities, social detachment, and repetitive behaviors in individuals. Global health organization facing difficulties in establishing an effective ASD diagnostic system that facilitates precise analysis and early autism prediction. It is a scientific issue that necessitates resolution. This research presents an approach for the early prediction of children with ASD utilizing significant variables through machine learning (ML) methods. Three stages comprise the suggested technique. First, a 1250-case ASD dataset was identified and preprocessed. Five extremely effective traits with high Pearson c</p> ... Show More
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Publication Date
Sat Nov 01 2025
Journal Name
Iop Conference Series: Earth And Environmental Science
Petrophysical Characterization and Depositional Insights of Mishrif Formation in X Oil Field, Iraq
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Abstract<p>For a huge and important productive reservoir such as Mishrif formation, the key factors for understanding its production performance and to introduce different production scenarios for future planes are its petrophysical properties. These properties may obtain from different sources such as experimental measurements which are a highly costed methods and well logs data. However, well log data cannot be used to find accurate estimation of such properties without an integrated sedimentological analysis. This research focus on petrophysical evaluation of Mishrif formation employing well log data, core analysis, and depositional modeling to elucidate reservoir characteristics and depos</p> ... Show More
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Predictive Role of Key Pro-Inflammatory Cytokines in Patients with Acute Myeloid Leukemia
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Publication Date
Sun Mar 02 2025
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Thyroid Function Variations in Critically Ill Neonates: A Comparative Study with Healthy Controls
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Background: Normal thyroid function is essential for neonatal growth and brain development. In a newborn infant with severe disease, endocrine regulation of hormones can be affected by abnormal metabolism. The assessment of thyroid parameters results in the recognition of a dysfunction and its association with disease severity. Objective: This study aimed to assess thyroid function profiles in critically ill neonates in the neonatal intensive care unit (NICU) compared with healthy controls. Additionally, we aimed to detect the presence of TD and its possible association with critical illness. Methods: A case-control study was performed in 100 neonates, comprising 50 sick neonates and 50 healthy controls. We measured thyroid functio

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Publication Date
Wed Aug 27 2025
Journal Name
2025 International Conference On Electrical, Communication And Computer Engineering (icecce)
A Hybrid Deep Learning Approach for Fault Classification in Electric Vehicle Drive Motors
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A new and hybrid deep learning-based approach for diagnosing faults in electric vehicle (EV) drive motors is proposed in this article. This article presents a new and hybrid deep learning-based method of diagnosing faults in the drive motors of electric vehicles (EV). In contrast to standard CNNLSTM approaches that depend on SoftMax classification, the introduced framework combines a Random Forest (RF) classifier to enhance the generalization, interpretability, and robustness of fault prediction. Furthermore meant for use on edge computing equipment with IoT integration, the design allows for real-time monitoring in resource-limited settings. The introduced algorithm utilizes a Random Forest (RF) classifier for accurate fault classification

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