This research aims to study the relationship between sports anxiety and accuracy of aiming when jumping high in handball, considering that anxiety is one of the most important psychological factors affecting the skill performance of athletes, especially in precise and complex tasks. The study relied on the descriptive associative approach, where data were collected from a sample of fourth-stage students at the Faculty of physical education and sports sciences at the University of Baghdad for the academic year (2024-2025), numbering (16) students, and anxiety levels were measured using standardized scales, in addition to evaluating the accuracy of aiming when jumping high according to specific technical standards. The results showed that the average anxiety level of the players was (45.31 ± 5.86), while the average accuracy of aiming was (12.19 ± 2.93). The results also revealed a statistically significant negative correlation between sports anxiety and aiming accuracy (r = -0.58), a value that exceeds the tabular value (0.497), indicating that increased anxiety is associated with a decrease in performance accuracy. This result was explained by the fact that anxiety consumes attentional resources and distracts concentration, also increases muscle tension and affects visual–motor coordination, which impairs the ability to accurately execute the aiming skill when jumping. She recommended that psychological training programs such as relaxation exercises, mindfulness, and simulating stress situations should be integrated into the players' physical and skill preparation plans.
Throughout this paper, three concepts are introduced namely stable semisimple modules, stable t-semisimple modules and strongly stable t-semisimple. Many features co-related with these concepts are presented. Also many connections between these concepts are given. Moreover several relationships between these classes of modules and other co-related classes and other related concepts are introduced.
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IR, MIR, UV – Visible spectra have been studied for Cobalt chloride molecule (CoCl2. 6H2O) compound, In wide range spectra (40000 – 410) cm-1 specially MIR range. Assignment were achieved for the fundamental vibrational bands of (CoCl2 . 6H2O ) to symmetry stretching ?1 (?^+) Anti – symmetry stretching ?3(?^+), these bands are non-degenerate , and the bending band is ?2(?) is doubly degenerate thought they have activity in IR and Raman , which explain the weakness in symmetry of this molecule, the fundamental bands for the molecule are centered at the following wave numbers (615, 685, 795, 1115, 1340, 1375, 1616.35, 2091, 2386, 2410, 3364) cm-1 which are corresponding to wave lengths (16260, 14598, 12578, 8968, 7462, 7272, 6186,
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E-Learning packages are content and instructional methods delivered on a computer
(whether on the Internet, or an intranet), and designed to build knowledge and skills related to
individual or organizational goals. This definition addresses: The what: Training delivered
in digital form. The how: By content and instructional methods, to help learn the content.
The why: Improve organizational performance by building job-relevant knowledge and
skills in workers.
This paper has been designed and implemented a learning package for Prolog Programming
Language. This is done by using Visual Basic.Net programming language 2010 in
conjunction with the Microsoft Office Access 2007. Also this package introduces several
fac
Soil tillage is a critical agricultural practice that creates favorable conditions for seedbed preparation and plant growth. This study presents an innovative application of artificial intelligence (AI) in agriculture by employing the YOLOv7 algorithm to classify and assess post-tillage soil surface conditions, a domain underexplored in current research. The integration of mechanical operation parameters with AI-based image classification enables optimization of tillage quality and mitigation of soil compaction, highlighting the novelty of this approach. The study aims to improve the efficiency of moldboard plow operations by examining the effects of tillage speed and depth on soil clod distribution, fuel consumption, and power requ
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Maulticollinearity is a problem that always occurs when two or more predictor variables are correlated with each other. consist of the breach of one basic assumptions of the ordinary least squares method with biased estimates results, There are several methods which are proposed to handle this problem including the method To address a problem and method To address a problem , In this research a comparisons are employed between the biased method and unbiased method with Bayesian using Gamma distribution method addition to Ordinary Least Square metho
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