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The impact of Sudafed on spleen of albino mice
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Pseudoephedrine (PSE), often known as Sudafed, belongs to a class of medications known as sympathomimetic amines, which affect the digestive system, respiratory system, and cardiovascular system. This drug has a long history of medical use; it is helpful in treating symptoms of the common cold and flu, sinusitis, asthma, and bronchitis. Due to its central nervous system (CNS) stimulant properties and structural similarity to amphe­tamine, it is also used for non-medical purposes such as doping agent, to increase focus, and as a substance that gets rid of exhaustion and drowsiness. Nevertheless only a few studies, backed up its impact on solid abdominal organs. The aim of this task is to investigate the effect of some dosages of PSE medication on the histology of albino mice's spleens. The current study included 18 albino mice grouped into 2 groups: control (3 mice), and acute group (15 mice). The acute group was further divided into five subcategories with 3 mice in each, and the animals received a single intraperitoneal injection of 0.3 ml of each of the following concentrations of drug for 24 hours: 500 mg/kg, 250 mg/kg, 125 mg/kg, 62.52 mg/kg, and 31.24 mg/kg. After the mentioned period, the mice of all subgroups were sacrificed and the spleens were removed, processed, sectioned and stained for histological analysis. Results showed that the amount of PSE administered at 500 mg/kg caused considerable sago spleen, numerous amyloid depositions in peripheral zone, sinusoidal red pulp congestion, and hyperplasia inside the germinal center. While less powerful effects or no detectable pathological alterations were seen at lower doses (125, 62.52, and 31.24 mg/Kg). This investigation demonstrated some pathological effects of this drug on spleen of albino mice at higher doses as compared to lower doses and control which recommends the use of minimal doses of PSE to avoid its adverse effects.

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Publication Date
Fri Nov 28 2025
Journal Name
Journal Of Baghdad College Of Dentistry
Sonographic evaluation of masseter muscle thickness in bruxist and non-bruxist subjects
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Background: Masseter muscle is a jaw closing muscle of the mandible involved in Para functional habits; which include lip and cheek chewing, fingernail biting, and teeth clenching or bruxism which can be classified as awake or sleep bruxism. Patients with sleep bruxism are three to four times more likely to experience jaw pain and limitation of movement than people who do not experience sleep bruxism. The aim of this study is to measure the thickness of the masseter muscle in bruxist subjects and compare it with non-bruxist subjects by using sonography. Materials and Method: Forty Iraqi subjects with age ranged (20-40) divided into two groups according to the presence of bruxism. Clinical examination was made and masseter muscle thickness

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study
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Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study

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Publication Date
Tue Jun 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Reflection of marketing deception in organizational reputation / applied research in Baghdad pharmacies
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The research aims to provide an integrated knowledge framework for the two basic research topics of (marketing deception, organizational reputation), their main dimensions, and framing the knowledge within them in a serious attempt to provide appropriate answers to the questions of the research problem by diagnosing the nature of the relationship between the components of marketing deception to identify the elements and how to activate it via reputable organizational components. The research was based on the analytical survey method. The research sample targeted (364) pharmacies within the capital Baghdad exclusively, the main tool of the research was the questionnaire, as well as the design of models prepared fo

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Publication Date
Tue Feb 01 2022
Journal Name
Case Studies In Thermal Engineering
Robust composite temperature control of electrical tube furnaces by using disturbance observer
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As one type of resistance furnace, the electrical tube furnace (ETF) typically experiences input noise, measurement noise, system uncertainties, unmodeled dynamics and external disturbances, which significantly degrade its temperature control performance. To provide precise, and robust temperature tracking performance for the ETF, a robust composite control (RCC) method is proposed in this paper. The overall RCC method consists of four elements: First, the mathematical model of the ETF system is deduced, then a state feedback control (SFC) is constructed. Third, a novel disturbance observer (DO) is designed to estimate the lumped disturbance with one observer parameter. Moreover, the stability of the closed loop system including controller

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Publication Date
Fri Jul 29 2022
Journal Name
Research Journal Of Pharmacy And Technology
Rifampicin versus Doxycycline in Prevention of recurrent Boils (A Comparative Therapeutic Study)
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Background: Suffering from recurrent boils (furunclosis) is a common problem in our locality as it is noticed by many dermatologists especially in association with increasingly hot weather. The most common causative organisms are staphylococci. Objective: The aim of the study was to shed the light upon this problem and compare two systemic therapeutic agents for the prevention of recurrence, doxycycline and rifampicin. Patient and method: One hundred thirty-five (135) Patients with recurrent boils from Al-Yarmouk teaching hospital dermatology outpatient department were included in this study; age ranged from 10 to 64 years old and out of total patients 32 were males and 103 were females. Patients were assessed by full history and cl

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Publication Date
Tue Jan 01 2013
Journal Name
Journal Of Engineering
Numerical Prediction of Bond-Slip Behavior in Simple Pull-out Concrete Specimen
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In this study the simple pullout concrete cylinder specimen reinforced by a single steel bar was analyzed for bond-slip behavior. Three-dimension nonlinear finite element model using ANSYS program was employed to study the behavior of bond between concrete and plain steel reinforcement. The ANSYS model includes eight-noded isoperimetric brick element (SOLID65) to model the concrete cylinder while the steel reinforcing bar was modeled as a truss member (LINK8). Interface element (CONTAC52) was used in this analysis to model the bond between concrete and steel bar. Material nonlinearity due to cracking and/or crushing of concrete, and yielding of the steel reinforcing bar were taken into consideration during the analysis. The accuracy of this

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Publication Date
Mon May 01 2023
Journal Name
Journal Of Medicine And Life
Mucoprotective effect of ellagic acid in 5 fluorouracil-induced intestinal mucositis model
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Publication Date
Wed Mar 05 2025
Journal Name
Lecture Notes In Networks And Systems
Leveraging AI for Disaster Management: A Comprehensive Review of Applications and Challenges
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Publication Date
Tue Jun 14 2016
Journal Name
Applied Organometallic Chemistry
Synthesis and antioxidant activities of Schiff bases and their complexes: a review
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Schiff bases, named after Hugo Schiff, are aldehyde- or ketone-like compounds in which the carbonyl group is replaced by imine or azomethine group. They are widely used for industrial purposes and also have a broad range of applications as antioxidants. An overview of antioxidant applications of Schiff bases and their complexes is discussed in this review. A brief history of the synthesis and reactivity of Schiff bases and their complexes is presented. Factors of antioxidants are illustrated and discussed. Copyright © 2016 John Wiley & Sons, Ltd.

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Publication Date
Sun Apr 02 2023
Journal Name
Mathematical Modelling Of Engineering Problems
Traffic Classification of IoT Devices by Utilizing Spike Neural Network Learning Approach
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Whenever, the Internet of Things (IoT) applications and devices increased, the capability of the its access frequently stressed. That can lead a significant bottleneck problem for network performance in different layers of an end point to end point (P2P) communication route. So, an appropriate characteristic (i.e., classification) of the time changing traffic prediction has been used to solve this issue. Nevertheless, stills remain at great an open defy. Due to of the most of the presenting solutions depend on machine learning (ML) methods, that though give high calculation cost, where they are not taking into account the fine-accurately flow classification of the IoT devices is needed. Therefore, this paper presents a new model bas

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