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Analytical Study of Touch Areas and Preparatory Movements Leading to The Touch in Epee Fencing in The Men's Team Final at The Paris 2024 Paralympics
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In sports where technical performance is crucial, quantitative analysis methods have evolved to track skill performance using modern training methods and technology. This helps trainers evaluate training methods and detect performance issues. Coaches and athletes know that preliminary movements improve attack accuracy, but the association between motions (strikes, presses, crushes) and target regions (torso, armed arm, head) has not been thoroughly investigated. Lack of studies on Paralympic fencing's targeted contact regions and ambiguity around the most common preliminary actions highlight the research problem. The study examined epee fencers' successful movement sequences in the Paris 2024 Paralympic Games' final bouts and touch success rates by touch area (torso, head, armed arm). It also examined the use and success rates of anticipatory assault movements (strikes, pressures, crushes) by touch regions (torso, head, armed arm). To follow study procedures, researchers used descriptive and survey methods. Twelve epee fencers from Iraq, China, England, and Poland competed in the Paris 2024 Paralympics' final round. Technical and tactical performance focuses on touches from the armed arm as a near target, indicating competitive criteria, skill specificity, and players' knowledge in selecting locations that increase attack success, according to the study. The skillful performance of anticipatory assault movements depends heavily on strikes, moderately on pushes, and very weakly on crushes. Team tactics affect touch strategy diversity. Technically sophisticated teams focus on armed arm touches for tactical efficiency, while others use the torso to avoid counterattacks.

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Publication Date
Wed May 10 2023
Journal Name
Journal Of Engineering
REMOVAL OF PHENOLIC COMPUNDS FROM AQUEOUS SOLUTIONS BY ADSOPTION ONTO ACTIVTED CARBONS PREPARED FROM DATE STONES BY CHEMICAL ACTIVATION WITH FeCl3
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Activated carbon prepared from date stones by chemical activation with ferric chloride (FAC) was used an adsorbent to remove phenolic compounds such as phenol (Ph) and p-nitro phenol (PNPh) from aqueous solutions. The influence of process variables represented by solution pH value (2-12), adsorbent to adsorbate weight ratio (0.2-1.8), and contact time (30-150 min) on removal percentage and adsorbed amount of Ph and PNPh onto FAC was studied. For PNPh adsorption,( 97.43 %) maximum removal percentage and (48.71 mg/g) adsorbed amount was achieved at (5) solution pH,( 1) adsorbent to adsorbate weight ratio, and (90 min) contact time. While for Ph adsorption, at (4) solution pH, (1.4) absorbent to adsorbate weight ratio, and (120 min) contact

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Publication Date
Fri Mar 17 2017
Journal Name
Elixir Mech. Engg. 109 (2017) 47879-47881, Www. Elixirpublishers. Com …‏
Effect of Cutting Angle for a Locally Assembling Motorized Vibration Cutter on Some Operational Characteristics Used for Date Palm Fronds Cutting
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Publication Date
Thu Dec 14 2023
Journal Name
Optical And Quantum Electronics
Enhancing response characteristics of palladium-doped vanadium pentoxide on a porous silicon substrate as gas sensor synthesized by pulsed laser deposition
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Publication Date
Mon Nov 01 2021
Journal Name
Iop Conference Series: Earth And Environmental Science
Treatability influence of municipal sewage effluent on surface water quality assessment based on Nemerow pollution index using an artificial neural network
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Abstract<p>Assessing water quality provides a scientific foundation for the development and management of water resources. The objective of the research is to evaluate the impact treated effluent from North Rustumiyia wastewater treatment plant (WWTP) on the quality of Diyala river. The model of the artificial neural network (ANN) and factor analysis (FA) based on Nemerow pollution index (NPI). To define important water quality parameters for North Al-Rustumiyia for the line(F2), the Nemerow Pollution Index was introduced. The most important parameters of assessment of water variation quality of wastewater were the parameter used in the model: biochemical oxygen demand (BOD), chemical oxygen dem</p> ... Show More
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Publication Date
Wed Jun 01 2022
Journal Name
Analytical Methods In Environmental Chemistry Journal
Design a continuous microfluidic flow cell for turbidimetric-flow injection technology: A new approach for routine analysis of active pharmaceutical formulations
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Publication Date
Mon Aug 05 2024
Journal Name
Food And Bioprocess Technology
Development of an Innovative Reinforced Food Packaging Film Based on Corn Starch/Hydroxypropyl Methylcellulose/Nanocrystalline Cellulose Incorporated with Nanogel Containing Quercetin
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Publication Date
Tue Oct 15 2024
Journal Name
Journal Of Optics
(ZnO)1-x(SnO2)x/c-nSi gas sensors prepared by pulsed laser deposition technique for selective detection of nitrogen dioxide
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Compounds of (ZnO)1-x(SnO 2 ) x were prepared with various proportions of tin oxide (SiO 2) (x = 0.0, 0.2, 0.4, 0.6, 0.8, 1.0) by mixing zinc oxide (ZnO) with highpurity tin oxide and then sintering the mixture in an oven at a temperature of 1000 °C for a period of 1 h. The resulting powders were ground and pressed into tablets of 1 cm diameter and 0.5 cm thickness. The properties of (ZnO) 1-x(SnO 2 ) x composites flms were prepared and studied as sensitive to the diferent gases NO2 and H2 S. Thin flms were prepared from (ZnO) 1-x(SnO 2 ) x via pulsed laser deposition method using glass and single crystal silicon for investigation the morphology and gas sensing properties with a thickness of 150 nm. The morphology examinat

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Publication Date
Sun Nov 01 2020
Journal Name
Journal Of Materials Research And Technology
Immobilization of l-asparaginase on gold nanoparticles for novel drug delivery approach as anti-cancer agent against human breast carcinoma cells
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Publication Date
Thu May 18 2023
Journal Name
Journal Of Engineering
Experimental Investigation for TiO2 nanoparticles as a Lubricant-Additive for a Compressor ofWindow Type Air-Conditioner
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The coefficient of performance of a window type Air-Conditioner system can be improved if a reduction in the work of compressor can be achieved by a suitable technique. The present study investigates the effect of dispersing a low concentration of TiO2 nanoparticles in the mineral oil based lubricant, as well as on the overall performance of a window type Air-Conditioner system using R22 as the working fluid. An enhancement in the COP of the refrigeration system has been observed and the existence of an optimum volume fraction noticed, with low concentrations of nanoparticles suspended in the mineral oil. Results showed that the average compressor work reduced by 13.3%, which ultimately resulted in an increase of 11.99% in the COP due to

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Publication Date
Sat Dec 02 2017
Journal Name
Al-khwarizmi Engineering Journal
Direction Finding Using GHA Neural Networks
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 This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take signal subspace only and use it in Capon (i.e. we will ignore the noise subspace, and take the signal subspace only).

 

 

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