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    <title>DSpace Collection: مجلة فصلية محكمة تصدرها كلية التربية للعلوم الصرفة / جامعة ديالى وهي مجلة متعددة التخصصات تنشر أبحاثاً أصلية في مجال العلوم الأساسية وتطبيقاتها والتي تشمل العلوم الصرفة والرياضيات والفيزياء والكيمياء والأحياء والبيئة وعلوم الحاسوب.</title>
    <link>http://148.72.244.84/xmlui/handle/xmlui/14521</link>
    <description>مجلة فصلية محكمة تصدرها كلية التربية للعلوم الصرفة / جامعة ديالى وهي مجلة متعددة التخصصات تنشر أبحاثاً أصلية في مجال العلوم الأساسية وتطبيقاتها والتي تشمل العلوم الصرفة والرياضيات والفيزياء والكيمياء والأحياء والبيئة وعلوم الحاسوب.</description>
    <pubDate>Fri, 17 Apr 2026 13:13:51 GMT</pubDate>
    <dc:date>2026-04-17T13:13:51Z</dc:date>
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      <title>An Analysis of Automated Essay Scoring Frameworks</title>
      <link>http://148.72.244.84/xmlui/handle/xmlui/15943</link>
      <description>Title: An Analysis of Automated Essay Scoring Frameworks
Authors: Abeer Abdulkarem; Anastasia Krivtsun
Abstract: Automatic essay scoring (AES) has gained significant popularity in recent years as it provides an efficient and unbiased means of evaluating student writing. Efficient and objective assessment of student writing is essential for educators, as it offers valuable feedback that can aid students in enhancing their writing abilities and achieving academic success. This study offers an extensive examination of several AES frameworks, investigating their performance indicators, underlying algorithms, and suitability for use in a range of educational contexts. The paper examined the three main frameworks of AES, which include content-based, machine learning (ML), and hybrid methods, highlighting the benefits and drawbacks of each. In the end, this analysis hopes to improve automated grading technologies and their integration into educational practices by providing educators, policymakers, and technologists with information about the strengths and weaknesses of AES frameworks through the synthesis of recent research and developments.</description>
      <pubDate>Mon, 30 Dec 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-12-30T00:00:00Z</dc:date>
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      <title>Developing a Methodology for IOT Load Distribution within Edge Computing</title>
      <link>http://148.72.244.84/xmlui/handle/xmlui/15942</link>
      <description>Title: Developing a Methodology for IOT Load Distribution within Edge Computing
Authors: Abdullah Farhan Mahdi; Aymen Mudheher Badr; Israa Mishkhal
Abstract: Optimizing task distribution and resource allocation becomes crucial with the exponential growth of IoT devices and the proliferation of edge computing. On the other hand, building such a flexible model about resources inside a heterogeneous climate is difficult. Also, the increasing demand for IoT services necessitated working to reduce the time delay by accomplishing successful load balancing. The objective of this study is to enhance load balancing by ensuring equitable allocation of resources among workloads, thereby enhancing Quality of Service (QOS) in cloud computing and minimizing processing time (PT), hence decreasing response time (RT). Our methodology presents a decentralized system with multiple agents that utilize the nodes in the edge and the cloud to distribute the workload caused by incoming tasks and the cost of performing those tasks. A collaborative model is followed to allocate the tasks to the resources to increase the utilization of available resources.</description>
      <pubDate>Mon, 30 Dec 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://148.72.244.84/xmlui/handle/xmlui/15942</guid>
      <dc:date>2024-12-30T00:00:00Z</dc:date>
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      <title>A Study of Some Physiological Variables in Women Suffering from Polycystic Ovary Syndrome in Diyala Governorate-Iraq</title>
      <link>http://148.72.244.84/xmlui/handle/xmlui/15941</link>
      <description>Title: A Study of Some Physiological Variables in Women Suffering from Polycystic Ovary Syndrome in Diyala Governorate-Iraq
Authors: Wafa Ahmed; Ammar Ahmed, Sultan
Abstract: Polycystic ovary syndrome is an endocrine, metabolic, and polygenic genetic disorder that leads to infertility in about 10% of women of reproductive age. The current study aims to assess the impact of prolactin, progesterone, LH, TSH, FSH, insulin, and vitamin D3 on the risk of polycystic ovarian syndrome in women living in the Diyala population. In the current study, 33 samples from healthy women were used for the control group; the 54 samples were obtained from women patients with polycystic ovarian syndrome in the age range of 20 to 40 who returned to Al-Batoul Teaching Hospital and Al-Shams Laboratories in the center of Diyala Governorate. The samples were collected beginning in October 2022 and till May 2023 for the group of patients and healthy women’s.  The current study's findings indicate that the levels of LH and testosterone in female patients varied significantly (P&lt;0.05) in comparison to healthy women (7.78±3.62 Vs 5.43±2.81 and 0.52±0.21 VS 0.17±0.09). Conversely, it was shown that female patients' levels of vitamin D3 (24.31±11.85) were lower than those of healthy females (35.66±15.64). Lastly, there were no statistically significant changes (P &gt; 0.05) found between the female patients and the healthy female patients in the levels of FSH, TSH, prolactin, and insulin. In addition to the existence of additional positive and negative correlations between the current variables, which are not significant, the study's results demonstrated a significant positive correlation between testosterone and FSH (P = 0.026, R = 0.304*) based on the Pearson correlation coefficient.</description>
      <pubDate>Mon, 30 Dec 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://148.72.244.84/xmlui/handle/xmlui/15941</guid>
      <dc:date>2024-12-30T00:00:00Z</dc:date>
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      <title>Immunological and Metabolic changes in Iraqi Women Patient with Graves' disease</title>
      <link>http://148.72.244.84/xmlui/handle/xmlui/15940</link>
      <description>Title: Immunological and Metabolic changes in Iraqi Women Patient with Graves' disease
Authors: Zeena hamood; Zainab Khidhair Hussain
Abstract: Graves' disease, a common cause of hyperthyroidism, affects middle-aged individuals, affecting lipid metabolism. Risk factors include genetic, environmental, and immunological factors. The aim of the study was to examine the possible correlation between certain blood biomarkers in individuals with Graves' disease before and after undergoing therapy with radioactive iodine (RAI). Sixty grave’s disease patients, 30 of whom received radioiodine therapy, in addition to 30 healthy people as control with age range of (25-60) years old were enrolled in this study through their presence at the AL-Amal National Hospital for nuclear medicine in Baghdad. Blood samples were collected to evaluate the level lipid profile, C-reactive protein, complete blood count, sodium and calcium. Results showed highly significant (P≤0.01) decreased in lipid profile parameters and a significant increasing in C-reactive protein level in both groups, before and after treatment, but no relation was found between GD and sodium and calcium. Thyroid dysfunction had an obvious impact on lipid metabolism. Grave's disease decreases lipid levels and increases body metabolism. Also increase an inflammation in body leading to high CRP levels in patients. No relationship was found between electrolyte elements.</description>
      <pubDate>Mon, 30 Dec 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://148.72.244.84/xmlui/handle/xmlui/15940</guid>
      <dc:date>2024-12-30T00:00:00Z</dc:date>
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