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.
Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall
... Show MoreTraffic‐induced ground vibrations cause significant problems for residents and nearby structures. Reducing the effect of these vibrations on the neighboring environment is a key challenge, particularly in urban areas. This study presents both numerical and experimental investigations of the performance of mass scatters for screening ground vibrations. A three‐dimensional numerical model is validated and extended to conduct a comparative study on the efficiency of three geotechnical methods of isolation. These methods include trench barriers, wave‐impeding blocks (WIBs), and mass scatters. The results showed that mass scatters represent an efficient way of scattering ground vi
The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr
... Show MoreA 3D Geological model was generated using an advanced geostatistical method for the Cretaceous reservoir in the Bai Hassan oil field. In this study, a 3D geological model was built based on data from four wells for the petrophysical property distribution of permeability, porosity, water saturation, and NTG by using Petrel 2021 software. The geological model was divided into a structural model and a property model. The geological structures of the cretaceous reservoir in the Bai Hassan oil field represent elongated anticline folds with two faults, which had been clarified in the 3D Structural model. Thirteen formations represent the Cretaceous reservoir which includes (Shiranish, Mashurah, U.kometan, Kometan Shale, L. Kometan, Gulnen
... Show Moreأن التركيب الهيكلي للجسم وقياساته الجسمية لها دورا ً كبيرا ً ومهما ً في الأداء الرياضي وتعتبر أحد أسس النجاح أو الفشل للفعالية التي يزاولها الرياضي ، كون توافر القياسات الجسمية الملائمة لمزاولة فعالية معينة تمنح الرياضي فرصة أكبر لإستيعاب الأداء الحركي السليم للمهارات ، ولكون فعالية الوثب العالي تعد واحدة من فعاليات ألعاب الساحة والميدان التي شملها التطور المتسارع في إنجازها لذا أرتأى الباحثون أن يتم أختي
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يتضمن البحث تعيين عنصر الزئبق السام بتراكيزنزرة عالية الدقة (نانوغرام) باستخدام منظومة يخار الزئبق البارد لنماذج غذائية (لحوم حمراء ، لحوم بيضاء ) مختلفة ونماذج مائية (ماء النهر، مياه صناعية ، ماء الشرب) وربط المنظومة بتقنية الامتصاص الذري اللهبي.
ان عنصر الزئبق من اشد العناصر سمية وان التراكيز المسموح بها عالميا لايتعدى جزء واحد
Drawbacks of Implementing Electronic Management in the Ministry of Education (A sample: Oman Educational Portal) from the Point of View of IT Staff. The study aimed at discovering the drawbacks of implementing electronic management in the Ministry of Education (a sample: Oman Educational Portal) from the point of view of IT staff, and that is by answering the following questions: - What are the main drawbacks (administrative, financial, technical and drawbacks related to human resources) that hinder implementing the electronic management in the Ministry of Education (a sample: Oman Educational Portal) from the point of view of IT staff? - Are there any statistical significance differences at the level (0.05) between study samples on the
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