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Assessment of Lipid Profile among Sudanese patients with Type 2 Diabetes Mellitus
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Background: Diabetes mellitus is a major health issue that is one of the leading causes of cardiovascular disease. Recent studies have found a link between uncontrolled diabetes and cardiovascular disease, with dyslipidaemia predicting glycated-hemoglobin (HbA1c), which could be a major contributor to type 2 diabetes complications and etiology.

Objectives: The objective of present study was estimate lipid profiles among control and uncontrolled type 2 diabetic patients.

Subjects and Methods: Analytical case control based study, One hundred twenty participate were included in study, 70 patients with DM  as case group  refer to Abuagala Center and difference follow up diabetic center  and 50 non diabetic subjects taken as control group males and females their  age between 20 to 80 years. Fasting blood glucose (FBG), blood HbA1c, and serum lipid parameters were measured by CobseC311 from Roche instrument. Data was analyzed using SPSS version 22, which expressed as (mean±SD) with p.value.

Result:Among120 participant the levels of fasting blood glucose,blood HbA1c,and Triglyceridewereincreased significantly in T2DM (161.7±72.5mg/dl), (8.88±3.9 %), (121±61.9 mg/dl)when compare with control group(91.28±13.9), (5.7±0.50), (80±11.7) with P.value (0.000),while total Cholesterol, High Density Lipoprotein, and Low Density Lipoprotein were not significant different in T2DM when compared with control group. There was weak positive correlation between HbA1c with FBG, CHOL, LDL, and HDL (r = 0.207, P =0.089, r = 0.186, P =0.124, r = 0.167, P =0.168, r = 0.308, P =0.01) respectively, while TG hadweak negative correlation (r =- 0.146, P =0.228). 

Conclusion: The results indicated to considerable increase in the lipid profile levels in type two diabetic patients when compared with healthy controls group which may lead to increase in coronary risk factors.

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Publication Date
Sun Sep 01 2019
Journal Name
American Journal Of Pharmaceutical Education
Quantitative and Qualitative Factors Associated with Social Isolation Among Graduate and Professional Health Science Students
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Publication Date
Tue Oct 05 2021
Journal Name
The Scientific World Journal
The Relation among Teeth and Maxillary Dental Arch Dimensions with Anterior Teeth Angulation and Inclination
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Objectives. This study aimed at finding out whether anterior teeth angulation and inclination have a relationship with the maxillary teeth and dental arch dimensions. Methods. Fifty study models with normal occlusion were selected from the archive of the Department of Orthodontics at Baghdad Dental Faculty. Maxillary dental arch width and length at different points were determined in addition to measuring anterior teeth angulation, inclination, crown thickness, overjet, overbite, and Bolton’s ratios. The unpaired t-test and Pearson’s correlation coefficient test were used for data analysis. Results. No statistical gender differences were reported in all measurements except the dental arch widths and length where males had signif

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Publication Date
Sun Nov 30 2025
Journal Name
Annals Of Abbasi Shaheed Hospital And Karachi Medical & Dental College
Exploring Coffee Consumption Patterns and their Relationship with Menstrual Symptoms among Iraqi Female Medical Students
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Objectives: This study aimed to assess patterns of coffee consumption among medical students at Al-Kindy College of Medicine, evaluate awareness of its benefits and adverse effects, and explore possible associations between caffeine intake and menstrual characteristics among female students.Methods: A descriptive cross-sectional study was conducted between November 2023 and February 2024 among 297 undergraduate medical students selected by convenience sampling. Data were collected through a validated, self-administered online questionnaire covering sociodemographic characteristics, coffee-drinking habits, perceived effects, and menstrual patterns. Descriptive and inferential analyses were performed using SPSS version 25. Association

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Publication Date
Mon Jul 23 2018
Journal Name
Journal Of Clinical Nursing
Factors influencing nurses’ knowledge acquisition of diabetes care and its management: A qualitative study
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Aim

To identify and explore the factors nurses perceive as influencing their knowledge acquisition in relation to diabetes care and its management in Saudi Arabia.

Background

Diabetes continues to pose major healthcare challenges despite advances in diabetes management. Nurses have a crucial role in diabetes care, but diabetes knowledge deficits deter effective collaboration with other healthcare providers in educating patients about diabetes self‐management.

Design

An exploratory descriptive qualitative design.

Method
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Publication Date
Thu Jul 02 2015
Journal Name
Diyala Journal For Pure Sciences
Synthesis and characterization of new bidentate chalcone ligand type (NO) and its MnІІ, CoІІ, NiІІ and CuІІ complexes with study of their antibacterial activity
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The aim of the work is synthesis and characterization of new bidentate chalcone ligand type (NO):[(E)-1-(3-aminophenyl)-3-(4-chlorophenyl) prop-2-en-1-one] [H2L], from the reaction of 3-amino acetophenone with 4-chloro benzaldehyde to produce the ligand [H2L], the reaction was carried out in ethanol as a solvent under stirring. The prepared ligand [H2L] was characterized by FT-IR, UV-Vis spectroscopy, 1H, 13C-NMR spectra, Mass spectra, (C.H.N) and melting point. The complexes of ligand [H2L] were prepared with metal ion M(Π).Where M(Π) = (Mn ,Co ,Ni and Cu) at reflux ,using ethanol as a solvent and KOH as a base with molecular formula [M (H2L)2] +2 where: H2L= (C15H12NOCl). All the complexes were characterized by spectroscopic met

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Publication Date
Thu Jan 01 2015
Journal Name
Diyala Journal For Pure Science
Synthesis and Spectroscopic Study of New Bidentate Schiff Base type (NN) and it’s Complexes with MnII, FeII, CoII, NiII, CuII and CdII Ions .
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four coordinated complexes for divalent metal ions : Mn, Fe, Co, Ni, Cu and Cd have been synthesized using bidentate Schiff base ligand type (NN)formed by the condensation of o-phenylenediamine , p- methylbenzadehyde and furfural in methanol. The ligand was reacted with divalent metal chloride forming complexes of the types :[M(L)Cl2] where : MII=Mn, Fe, Ni, Cu, and Cd . These new compounds were characterized by elemental analysis, spectroscopic methods (FT-IR, U.V-Vis, 1HNMR (for ligand only and atomic absorption) , magnetic susceptibility, chloride content along with conductivity measurement. These studies revealed that the geometry for all complexes about central metal ion is tetrahedral.

Publication Date
Wed Dec 14 2016
Journal Name
Journal Of Baghdad College Of Dentistry
Assessment of Salivary α-amylase and Flow Rate Levels and Their Correlation with Gingivitis and Severity of Chronic Periodontitis (Part: 1)
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Background: Periodontal diseases are bacterial infections of the gingiva, bone and attachment fibers that support the teeth and hold them in the jaw. α-amylase is an enzyme, produced mainly by parotid gland and it seems to play a role in maintaining mucosal immunity. Aims of the study: Determine the salivary levels of α-Amylase and flow rate and their correlations with clinical periodontal parameters(Plaque Index , Gingival Index , Bleeding on Probing , Probing Pocket Depth , and Clinical Attachment Level ) and the correlation between α-Amylase with flow rate of study groups that consist of ( patients had gingivitis and patients had chronic periodontitis with different severities(mild ,moderate ,severe) and control group . Ma

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Publication Date
Fri Mar 15 2024
Journal Name
Journal Of Baghdad College Of Dentistry
Assessment of the correlation between the tensile and diametrical compression strengths of 3D-printed denture base resin reinforced with ZrO2 nanoparticles
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Background: The mechanical properties of 3D-printed denture base resins are crucial factors for determining the quality and performance of dentures inside a patient’s mouth. Tensile strength and diametral compressive strength are two properties that could play significant roles in assessing the suitability of a material. Although they measure different aspects of material behavior, a conceptual link exists between them in terms of overall material strength and resilience. Aim: This study aims to investigate the correlation between tensile strength and diametral compressive strength after incorporating 2% ZrO2 nanoparticles (NPs) by weight into 3D-printed denture base resin. Methods: A total of 40 specimens (20 dumbbell-shaped and

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Publication Date
Sat Nov 16 2019
Journal Name
Journal Of Global Pharma Technology
Partial purification of leucine aminopeptidase and its correlation with some biochemical parameters in sera of subclinical hyperthyroidism and hyperthyroidism patients.
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he study aimed to purify of Leucine aminopeptidase (LAP) from sera of hyperthyroidism patients and its relation to some thyroid hormones (TSH, T 3 , T 4 ) of subclinical hyperthyroidism and hyperthyroidism patients with lipid peroxidation levels that may be play a role in this diseases. Specimens were collected during the time from Nov 2017 until Jan 2018 from Endocrine and Diabetes Center, blood samples were collected from fifty healthy control and one hundred patients, patients were divided into two groups consisted of (50) with hyperthyroidism and (50) with subclinical hyperthyroidism. The aged for all subjects ranged (15-60) years with body mass ranged ((25- 29) kg/m 2 . The purification is done by addition of ammonium sulfate, dial

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Publication Date
Sat Jan 31 2026
Journal Name
International Journal Of Intelligent Engineering And Systems
Low-complexity Deep Learning for Joint Channel-type Identification and SNR Estimation in MIMO-OFDM Using CNN–BRNN with LUT Labels
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Channel estimation (CE) is essential for wireless links but becomes progressively onerous as Fifth Generation (5G) Multi-Input Multi-Output (MIMO) systems and extensive fading expand the search space and increase latency. This study redefines CE support as the process of learning to deduce channel type and signal-tonoise ratio (SNR) directly from per-tone Orthogonal Frequency-Division Multiplexing (OFDM) observations,with blind channel state information (CSI). We trained a dual deep model that combined Convolutional Neural Networks (CNNs) with Bidirectional Recurrent Neural Networks (BRNNs). We used a lookup table (LUT) label for channel type (class indices instead of per-tap values) and ordinal supervision for SNR (0–20 dB,5-dB steps). T

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