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Development of a nanostructured double-layer coated tablet based on polyethylene glycol/gelatin as a platform for hydrophobic molecules delivery
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The aim of the current study was to develop a nanostructured double-layer for hydrophobic molecules delivery system. The developed double-layer consisted of polyethylene glycol-based polymeric (PEG) followed by gelatin sub coating of the core hydrophobic molecules containing sodium citrate. The polymeric composition ratio of PEG and the amount of the sub coating gelatin were optimized using the two-level fractional method. The nanoparticles were characterized using AFM and FT-IR techniques. The size of these nano capsules was in the range of 39-76 nm depending on drug loading concentration. The drug was effectively loaded into PEG-Gelatin nanoparticles (≈47%). The hydrophobic molecules-release characteristics in terms of controlled-release duration and dissolution efficiency were examined in various dissolution media, such as physiological pH (7.4) and simulated stomach fluid (3.4). Consequently, the optimized double-layer for hydrophobic molecules delivery system showed a gradual release of hydrophobic molecules in the and in physiological pH, indicating its novelty for using as a platform for hydrophobic molecules delivery.

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Publication Date
Fri Jun 23 2023
Journal Name
Cumhuriyet Dental Journal
The effectiveness of continuous versus sequential chelation in the removal of smear layer and their influence on push-out bond strength of Bio-C sealer (An in vitro study)
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Objectives: Successful endodontic treatment outcome requires effective shaping and cleaning of root canals. This study aims to evaluate the smear layer removal after continuous chelation (CC) ) NaOCL\HEDP( and sequential chelation (SC) )NaOCL\EDTA( and their influence on the push-out bond strength (POBS) of Bio-C sealer. Materials and Methods: Palatal roots of the maxillary first molar (n=72) were divided into four groups (n=18) as follows: 3% NaOCL, SC: 3% NaOCL followed by 17% EDTA, CC: 3% NaOCL \9% HEDP and Distilled water. Thirty-two roots (n=8/group) were split longitudinally for smear layer evaluation using SEM. Forty roots were obturated with Guttapercha and Bio-C sealer using a single cone technique. Thre

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Publication Date
Sun Sep 27 2020
Journal Name
Journal Of The College Of Education For Women
Imagination and Emotional Impact by Constructional Methods:Al-Almohdeen’s (Believers’) Poetry in AhlAl-Bayt, (peace be upon them) as a Model
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The language that consists of only twenty-eight letters, but it is so broad that we are unable to understand it from all sides and this expansion is mainly caused by imagination, so Arab imagination, whose language goes in all directions And as it always responds to our ears, ancient critics divide imagination into holistic and partial But the language is not limited to these parts only. Do we wonder, where is the structural method of wishing, hope, questions and other methods of all this? In this paper, we try to show the importance of the method of writing in moving imagination in an interactive way, and what is related to human feelings in most, if not all, of its methods By studying the poetry of the believers in the Ahl al-Bayt, pea

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Publication Date
Sat Jul 19 2025
Journal Name
Journal Of Pharmacology And Pharmacotherapeutics
Pharmaceutical Frontliners: Community Pharmacists’ Contribution to Managing Medication Needs During a Health Crisis— The COVID-19 Era as an Example
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Community pharmacists faced more complex challenges in meeting patients’ medication needs during the pandemic than previously reported in the literature. Objectives To explore the perception and abilities of community pharmacists in managing patients’ needs in terms of medication dispensing during the pandemic, and to examine its effect on improving the patients’ situations. Materials and Methods A cross-sectional study design, validated by 30 experts, was conducted using an electronic survey (Google Form) to assess the effect of the dispensing practice of Iraqi community pharmacists on the patient’s clinical outcomes during the pandemic. The survey was distributed on professional pharmacist’s social media platforms from December

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Publication Date
Sun Oct 15 2023
Journal Name
Bionatura
Examining how PMMA and polyamide denture base materials' physical characteristics are affected by electrolyzed water used as a denture cleaner
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Denture cleansing is an essential step that can stop cross‑contamination and adds to the health of the patient, denture durability, and the general quality of life. A disinfection technique must be practical and devoid of damaging effects on the material's properties used to construct the denture base. The main aim of this study is to evaluate the effect of three concentrations of electrolyzed water denture cleanser on heat cure acrylic and polyamide after immersion in electrolyzed water. The evaluation is based on their efficacy on surface hardness, wettability, and color stability compared with one submerged in distilled water as a control group. The method consists of eighty samples of heat-cured acrylic and polyamide material.

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Publication Date
Wed Jul 22 2026
Journal Name
Pharmaceutics
Aqueous Artemisia herba-alba Asso Preparation as a Botanical Adjunct to Dapagliflozin: Enhanced Glycemic Control in Streptozotocin-Induced Diabetic Rats
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Background/Objectives: optimization of the therapeutic efficacy of antidiabetic agents is still a great challenge in the management of type 2 diabetes mellitus (T2DM), and attention is becoming more and more focused on the use of adjunctive agents that help target the drug action beyond the classic glycemic target. This study examined the effect of co-administration of an Artemisia herba-alba Asso (Asteraceae) aqueous extract on the glucose-lowering effect of dapagliflozin, a sodium–glucose cotransporter-2 (SGLT2) inhibitor. Methods: qualitative phytochemical screening and total phenolic and total flavonoid content were used to characterize the aqueous preparation. Male Wistar albino rats were divided into eight groups (10 rats ea

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Publication Date
Thu Feb 02 2017
Journal Name
Faculty Of Medicine - Iraq
knowledge and attitude of pregnant women towards modes of delivery in an antenatal care clinic in Baghdad
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NA Nasir, H Amir, Faculty of medicine - Iraq, 2017 - Cited by 13

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Publication Date
Thu Mar 30 2023
Journal Name
College Of Islamic Sciences
The effect of readings on the multiplicity of explanatory significance of a single Qur’anic word, a study through the interpretation of Ibn Attia al-Andalusi
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The study aimed to clarify the meanings learned and inferred from reading books، letters and messages in Surat Al-Qur’an. The inductive method، the analytical method، and the deductive method، One of the most prominent results of the research: that the multiplicity of Qur’anic readings produces a variety and expansion in the meaning that has a clear impact on the interpretation by clarifying the meaning of the verse.

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Publication Date
Wed Feb 10 2016
Journal Name
Scientific Reports
Experimental demonstration on the deterministic quantum key distribution based on entangled photons
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As an important resource, entanglement light source has been used in developing quantum information technologies, such as quantum key distribution(QKD). There are few experiments implementing entanglement-based deterministic QKD protocols since the security of existing protocols may be compromised in lossy channels. In this work, we report on a loss-tolerant deterministic QKD experiment which follows a modified “Ping-Pong”(PP) protocol. The experiment results demonstrate for the first time that a secure deterministic QKD session can be fulfilled in a channel with an optical loss of 9 dB, based on a telecom-band entangled photon source. This exhibits a conceivable prospect of ultilizing entanglement light source in real-life fiber-based

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Publication Date
Fri Feb 04 2022
Journal Name
Neuroquantology
Detecting Damaged Buildings on Post-Hurricane Satellite Imagery based on Transfer Learning
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In this article, Convolution Neural Network (CNN) is used to detect damage and no damage images form satellite imagery using different classifiers. These classifiers are well-known models that are used with CNN to detect and classify images using a specific dataset. The dataset used belongs to the Huston hurricane that caused several damages in the nearby areas. In addition, a transfer learning property is used to store the knowledge (weights) and reuse it in the next task. Moreover, each applied classifier is used to detect the images from the dataset after it is split into training, testing and validation. Keras library is used to apply the CNN algorithm with each selected classifier to detect the images. Furthermore, the performa

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Publication Date
Mon Sep 30 2002
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Modeling of a Sulfonation Reactor in a Detergent Factory
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