Preferred Language
Articles
/
khhUSJUBVTCNdQwCdSt0
Fartlek exercises and their effect on molecular biology (vascular endothelial growth factor-basic fibroblast growth factor) and some physical variables for players 800m arena and field for youth
...Show More Authors

The study aimed to : - To determine whether there are significant differences between Fartlek training and the increase in the molecular biology (VEGF - basal fibroblast growth factor) for arena and field players in an (800m) youth event. - Determine whether there are statistically significant differences between Fartlek training and the increase in molecular biology and some physical variables for the players (800m) in the arena and field for youth. - Determine whether the Fartlek training method is the most appropriate to achieve statistically significant differences in the research variables for the players (800m) in the arena and field for youth. The researchers used the experimental method for its suitability and the nature of the research and its procedures. The community sample was deliberately determined for the youth category, and their number was (8 players) from the specialized school, among the elite players who represented their percentage (%28) from the original community for the season (2021_ 2022), which is the method that the researchers used in the one-group tests. The duration of the training program (90 days), which included the Fartlek training method The researchers reached the following conclusions:: Fartlek training had the effect of increasing the molecular biology (vascular endothelial growth factor (VEGF)-basic fibroblast growth factor (FGF)) for track and field athletes in the event (800m) for youth. - Fartlek training had a positive effect on some physical variables, especially in the post tests of field and field players in the (800m) competition for youth. The researchers recommended a set of recommendations, the most important of which are : Use a non-fertoc training method and introduce strength exercises. Use of vascular endothelial growth factor (VEGF)-basic fibroblast growth factor (FGF) as an indicator of muscle efficiency in oxygen consumption (Vo2 max). Comparison of the aerobic and anaerobic system and its effect on the increase of vascular endothelial growth factor (VEGF) - essential fibroblast growth factor (FGF) Using the same research variables on a sample of applicants in different events and comparing the results with the youth sample.

Publication Date
Sat Jul 22 2023
Journal Name
Journal Of Engineering
Replacement of Line Loads acting on slabs to equivalent uniformly Distributed Loads
...Show More Authors

This study aims to derive a general relation between line loads that acting on two-way slab system and the equivalent uniformly distributed loads. This relation will be so useful to structural designer that are used to working with a uniformly distributed load and enable them to use the traditional methods for analysis of two-way systems (e.g. Direct Design Method). Two types of slab systems, Slab System with Beams and Flat Slab Systems, have been considered in this study to include the effect of aspect ratio and type of slab on the proposed relation. Five aspect ratios, l2/l1 of 0.5, 0.75, 1.0, 1.5 and 2.0, have been considered for both types of two-way systems.
All necessary finite element analyses have been executed with SAFE Soft

... Show More
View Publication Preview PDF
Crossref
Publication Date
Fri Dec 30 2022
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Remediation of Oil Production by Matrix Acidizing Method on an Oil Well
...Show More Authors

   The remediation oil production by matrix acidizing method on the well named "X" (for confidential reasons) is scrutinized in this paper. Initial production of 1150 bpd, production index of 2.8 STB/Psi/d and permeability of 150md, in 2018 two years down the lane this dropped to 450 bpd, production index 0.7 STB/Psi/d. The declined observed on the production index is trouble shouted and after elimination of (no completion damage/perforation damage), the skin is calculated by carrying out a well test (build-up test) whose extrapolation in excel over times gave us a skin of 40.The reservoir heterogeneity, containing >20% of feldspar, carbonates and paraffin’s guided thematrix acidizing design and treatment proposition to remedy thi

... Show More
View Publication Preview PDF
Crossref (2)
Crossref
Publication Date
Thu Jun 01 2023
Journal Name
Advances In Mechanical Engineering
3D-shape formation of blood vessels based on computer aided design system
...Show More Authors

This paper proposes and tests a computerized approach for constructing a 3D model of blood vessels from angiogram images. The approach is divided into two steps, image features extraction and solid model formation. In the first step, image morphological operations and post-processing techniques are used for extracting geometrical entities from the angiogram image. These entities are the middle curve and outer edges of the blood vessel, which are then passed to a computer-aided graphical system for the second phase of processing. The system has embedded programming capabilities and pre-programmed libraries for automating a sequence of events that are exploited to create a solid model of the blood vessel. The gradient of the middle c

... Show More
View Publication
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Tue Jan 01 2013
Journal Name
Brain Research Bulletin
A note on the probability distribution function of the surface electromyogram signal
...Show More Authors

View Publication
Scopus (83)
Crossref (87)
Scopus Clarivate Crossref
Publication Date
Sat Apr 01 2023
Journal Name
Journal Of Engineering
Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)
...Show More Authors

One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services th

... Show More
View Publication Preview PDF
Crossref (5)
Crossref
Publication Date
Tue Dec 01 2015
Journal Name
Solar Energy
A review of studies on using nanofluids in flat-plate solar collectors
...Show More Authors

Continuous escalation of the cost of generating energy is preceded by the fact of scary depletion of the energy reserve of the fossil fuels and pollution of the environment as developed and developing countries burn these fuels. To meet the challenge of the impending energy crisis, renewable energy has been growing rapidly in the last decade. Among the renewable energy sources, solar energy is the most extensively available energy, has the least effect on the environment, and is very efficient in terms of energy conversion. Thus, solar energy has become one of the preferred sources of renewable energy. Flat-plate solar collectors are one of the extensively-used and well-known types of solar collectors. However, the effectiveness of the coll

... Show More
Scopus (133)
Crossref (125)
Scopus Clarivate Crossref
Publication Date
Thu Dec 01 2011
Journal Name
Iraqi Journal Of Physics
Influence of doping concentration on the main parameters of CdSe:Cu photoconductor detector
...Show More Authors

The photonconductor detectors CdSe:Cu was fabricated as a thin film of (1 μm) in thickness using vacuum evaporation technique. doping with copper was made using vacuum annealing at 350oC under argon atmosphere . The spectral responsivity and spectral detectivity of the detector were determined as a function of incident wavelength on the sample. A remarkable improvement in performance was absorbed for the specimen, which doping with (1-5 wt%) Cu.
The spectral response increases with increasing of wavelength for incident radiation to maximum value, after that , it reduced sharply . There is a shifting for peak responsivity indirect of higher wavelength. The detectivity was increased with doping but its decreased as the concentration in

... Show More
View Publication Preview PDF
Publication Date
Sat Apr 01 2023
Journal Name
Journal Of Engineering
Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)
...Show More Authors

One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services through our ca

... Show More
View Publication
Crossref (5)
Crossref
Publication Date
Tue Apr 01 2025
Journal Name
Mesopotamian Journal Of Cybersecurity
The Impact of Feature Importance on Spoofing Attack Detection in IoT Environment
...Show More Authors

The Internet of Things (IoT) is an expanding domain that can revolutionize different industries. Nevertheless, security is among the multiple challenges that it encounters. A major threat in the IoT environment is spoofing attacks, a type of cyber threat in which malicious actors masquerade as legitimate entities. This research aims to develop an effective technique for detecting spoofing attacks for IoT security by utilizing feature-importance methods. The suggested methodology involves three stages: preprocessing, selection of important features, and classification. The feature importance determines the most significant characteristics that play a role in detecting spoofing attacks. This is achieved via two techniques: decision tr

... Show More
View Publication Preview PDF
Scopus Crossref
Publication Date
Thu Dec 30 2021
Journal Name
Al-kindy College Medical Journal
The Impact of COVID-19 on Healthy Related Issues, A structured Review
...Show More Authors

Coronavirus: (COVID-19) is a recently discovered viral disease caused by a new strain of coronavirus.

The majority of patients with corona-virus infections will have a mild-moderate respiratory disease that recovers without special care. Most often, the elderly, and others with chronic medical conditions such as asthma, coronary disease, respiratory illness, and malignancy are seriously ill.

    COVID-19 is spread mostly by salivary droplets or nasal secretions when an infected person coughs or sneezes.

    COVID-19 causes severe acute respiratory illness (SARS-COV-2). The first incidence was recorded in Wuhan, China, in 2019.  Since then it spreads leading to a pandemic.

... Show More
View Publication Preview PDF
Crossref (2)
Crossref