Preferred Language
Articles
/
Ani_v6ABuRolNscL__N5
Automated empowerment and its effectiveness to developing skill performance for dribbling and passing accuracy of football
...Show More Authors

Among the many modern skill-enhancing work practices, machine learning is among the mostskill-enhancing practices in the workplace, as it helps students remember more of what they havelearned, hone the technical talents and skills of football players, and make better use of theirmotor skills. The use of machine learning and its practical applications in football could havesignificant benefits by improving talent development and making better use of scientifictechniques. The primary objective of this study was to determine the effectiveness of machinelearning in improving soccer dribbling and passing accuracy in children aged 10-12 years. Thestudy authors hypothesized that soccer players in the Al-Zohour Neighborhood Youth Forumwould greatly benefit from machine learning's ability to improve their dribbling and passingaccuracy. The study used an experimental approach and statistical methods includingpercentages, arithmetic mean, standard deviation, and Pearson's correlation coefficient to reach conclusions.

View Publication Preview PDF
Quick Preview PDF
Publication Date
Wed Jan 21 2026
Journal Name
Advanced Materials Research
Sustainable Removal of Heavy Metals from Aqueous Solutions Using Untreated Cellulose from Office Paper Waste Based on the Circular Economy Approach
...Show More Authors

This study explored the feasibility of removing nickel (Ni) and Pb (II) from water solutions using the adsorption technique by cellulose recovered from office paper waste. Metal removal is required to reduce the direct or indirect exposure of industrial waste to the environment, due to its potential for harm to human health and ecosystems. The release criterion is maintained to keep the efficient wastewater treatment of the metals of concern, which are toxic to both humans and other organisms. The cellulose was first prepared from office paper waste. The removal values can be rationalized as follows: Lead removal efficiencies of were obtained upto %95.0632, while the removals of nickel were obtained as 54.3866%. The adsorption proce

... Show More
View Publication
Crossref
Publication Date
Sat Jan 01 2022
Journal Name
International Journal Of Dentistry
Bond Strength Survival of a Novel Calcium Phosphate‐Enriched Orthodontic Self‐Etching System after Various Ageing Protocols: An In Vitro Study
...Show More Authors

Objective. This study aimed to evaluate the orthodontic bond strength and enamel‐preserving ability of a hydroxyapatite nanoparticles‐containingself‐etch system following exposure to various ageing methods. Materials and Methods. Hydroxyapatite nanoparticles (nHAp) were incorporated into an orthodontic self‐etch primer (SEP, Transbond™ plus) in three different concentrations (5%, 7%, and 9% wt) and tested versus the plain SEP (control) for shear bond strength (SBS), adhesive remnant index (ARI) scores, and enamel damage in range‐finding experiments using premolar teeth. The best‐performing formulation was further exposed to the following four artificial ageing metho

... Show More
View Publication
Scopus (10)
Crossref (11)
Scopus Crossref
Publication Date
Fri Nov 21 2025
Journal Name
Journal Of Advances In Information Technology
Towards Accurate SDG Research Categorization: A Hybrid Deep Learning Approach Using Scopus Metadata
...Show More Authors

The complexity and variety of language included in policy and academic documents make the automatic classification of research papers based on the United Nations Sustainable Development Goals (SDGs) somewhat difficult. Using both pre-trained and contextual word embeddings to increase semantic understanding, this study presents a complete deep learning pipeline combining Bidirectional Long Short-Term Memory (BiLSTM) and Convolutional Neural Network (CNN) architectures which aims primarily to improve the comprehensibility and accuracy of SDG text classification, thereby enabling more effective policy monitoring and research evaluation. Successful document representation via Global Vector (GloVe), Bidirectional Encoder Representations from Tra

... Show More
View Publication Preview PDF
Scopus Crossref
Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Effect of Citrus aurantifolia Seed Extracts In Some Bacteria Isolated From Burns Infections: Suaad K. Ibrahim|Ilham S. Banno|Sawsan M. Abdella
...Show More Authors

The present study was carried to evaluate antibacterial activity of Acetone, Alcholic (cold and hot) and Aqueaus(water) extracts of Citrus aurantifoliaseeds,against growth of some bacteria isolated from burns infections(Pseudomonas aeruginosa,Escherichia coli, Klebsiellapneumonia,Staphylococcusaureus)fromKindy HospitalIn Baghdad from March to June 2012.Antibiotic Sensitivity was done for all isolated bacteria used in this study.Results showed variation in antibacterial activity of different extracts against all tested bacteria by well diffusion technique in agar and measuring the diameter of inhibition zone, at concentration 250Mg-ml. Acetone extract had the greatest inhibitory effect followed by hot alcoholci extract, and then cold alcohol

... Show More
View Publication
Crossref
Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
A Theoretical Investigation on Chemical Bonding of the Bridged Hydride Triruthenium Cluster: [Ru3 (μ-H)( μ3-κ2-Hamphox-N,N)(CO)9]
...Show More Authors

Ruthenium-Ruthenium and Ruthenium–ligand interactions in the triruthenium "[Ru3(μ-H)(μ3-κ2-Hamphox-N,N)(CO)9]" cluster are studied at DFT level of theory. The topological indices are evaluated in term of QTAIM (quantum theory of atoms in molecule). The computed topological parameters are in agreement with related transition metal complexes documented in the research papers. The QTAIM analysis of the bridged core part, i.e., Ru3H, analysis shows that there is no bond path and bond critical point (chemical bonding) between Ru(2) and Ru(3). Nevertheless, a non-negligible delocalization index for this non-bonding interaction is calculated

... Show More
View Publication Preview PDF
Scopus (8)
Crossref (3)
Scopus Clarivate Crossref
Publication Date
Sun Jun 02 2019
Journal Name
Journal Of The College Of Languages (jcl)
Analysis of Verbs Forms in Sa’eed Faeeq’s Short Story: Cloud in the Sky: Sait Faik'in "Havada Bulut" Adlı Hikayesinde Fiil Kiplerinin İncelenmesi.
...Show More Authors

This research paper which is entitled “Analysis of Verbs Forms in Sa’eed Faeeq’s Short Story: Cloud in the Sky” deals with the forms of verbs (i.e., kinds of tenses and suffix analysis). It is one of the applied studies. Verbs are basic elements in Turkish sentences. Their function is to state the predicate which is a sentential essential part. Verbs denote sentence construction, action and formal aspects. Forms are added to the base of verbs in the Turkish language giving the verbs their final structures. Such structures are set in a distinct planned way. The verbs used in the Turkish language which are distinguished by one of these forms are known as simple tense verbs.

Sait Faik'in ( "Havada Bulut" adlı Hikayesinde Fi

... Show More
View Publication Preview PDF
Crossref
Publication Date
Thu Dec 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
The Reflection of Lean Management Approach on Human Resource Management Practices A field research in telecom companies in Iraq (Zain-Asia cell)
...Show More Authors

Abstract

The current research is attempt to test the reflection of the lean management on the human resources management practices of two of the most important communication companies operating in Iraq (`Zain & Asia cell), The research aims to Determine the extent of adoption of the lean management approach in the two researched companies, as it improving human resource management practices. The research problem represented in the existence of lack of in some aspects of the application the lean management approach in service sector and neglecting the impact of its tools on the human resource management practices. For this purpose three principle research hypotheses has been formulated, first there is a correlation rel

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon May 01 2023
Journal Name
3 Biotech
Detection of orthodontically induced inflammatory root resorption-associated biomarkers from the gingival crevicular fluid by proteomics analysis: a randomized-controlled clinical trial
...Show More Authors

View Publication
Crossref (3)
Crossref
Publication Date
Sun May 02 2021
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Value at risk simulation in a fixed return stock portfolio using the Monte Carlo simulation model The concept of a bond portfolio
...Show More Authors

This research aims to predict the value of the maximum daily loss that the fixed-return securities portfolio may suffer in Qatar National Bank - Syria, and for this purpose data were collected for risk factors that affect the value of the portfolio represented by the time structure of interest rates in the United States of America over the extended period Between 2017 and 2018, in addition to data related to the composition of the bonds portfolio of Qatar National Bank of Syria in 2017, And then employing Monte Carlo simulation models to predict the maximum loss that may be exposed to this portfolio in the future. The results of the Monte Carlo simulation showed the possibility of decreasing the value at risk in the future due to the dec

... Show More
View Publication Preview PDF
Publication Date
Thu Aug 01 2019
Journal Name
International Journal Of Research - Granthaalayah
MULTIPLE MIXING RATIOS OF GAMMA RAY TRANSITIONS FROM 𝟔𝟎𝐍𝐝 𝟏𝟒𝟐− 𝟏𝟓𝟎 (𝐧, 𝐧 ˊ𝛄) 𝟔𝟎𝐍𝐝 𝟏𝟒𝟐− 𝟏𝟓𝟎 REACTION USING 𝒂𝟐- RATIO METHOD
...Show More Authors

In the current work, the mixing ratios ( 𝛿 ) of gamma transitions were calculated from energy levels in the isotopes neodymium 60𝑁𝑎 142−150 populated in the 60Nd 142− 150 (n, n ˊγ) 60Nd 142− 150 using the 𝑎2 ratio method. We used the experimental coefficient (𝑎2 ) for two γ-transitions from the initial state itself, the statistical tensor 𝜌2(𝐽𝑖), associated with factor 𝑎2 , would be the same for the two transitions. The results obtained are in good agreement or within the experimental error with -those previously published. And existing contradictions resulting from inaccuracies in the empirical results of previous work. The current results confirm that the , 𝑎2 − method is used to calculate th

... Show More