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THE EFFECT OF A PROPOSED TRAINING PROGRAM USING INTERMITTENT TRAINING TO DEVELOP SOME PHYSICAL AND BIO-KINEMATIC VARIABLES AND ACCURACY OF THE JUMP SPIKE SERVE SKILL IN VOLLEYBALL
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The purpose of this paper is to identifying the values of some physical and Bio- Kinematic variables during the performance of the jump spike serve skill, and identifying the effect of the proposed training program using intermittent training to develop some physical and Bio- Kinematic variables and accuracy of the jump spike serve skill among the research sample. The experimental method was used and the research was conducted on a deliberately chosen sample of the players of the Army Club, who were primarily advanced in volleyball, and the number of the sample was (10) players. The conclusions were reached that the proposed training program using intermittent training has a positive effect on some of the physical and Bio- Kinematic variables of the advanced volleyball players and that this program has made an improvement in accuracy of the skill, Therefore some recommendations were given, including the use of the intermittent training program to develop some physical and Bio- Kinematic variables because of its positive impact on volleyball players, and the use of intermittent training activities mainly in the special preparation period and the transitional period because of its importance in improving the physical and skill condition of volleyball players Providing sports equipment and tools used in intermittent training in sports clubs to serve the training process for volleyball players.

Scopus
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Mon Jan 01 2018
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Background

Despite their critical role in child care, emergency department (ED) nurses’ empathy and their attachment style toward children have not been thoroughly studied.

Objectives

This research is conducted to explore the reciprocal dynamic relationship between nurses’ empathetical orientation and their level of attachment style in the pediatric emergency departments.

Methods

A descriptive cross-sectional survey was conducted across 132 pediatric emerg

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Evaluating AI Language Models in News Retrieval: A Comparative Study Of ChatGPT-Plus and DeepSeek (R1)
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The increasing complexity of how humans interact with and process information has demonstrated significant advancements in Natural Language Processing (NLP), transitioning from task-specific architectures to generalized frameworks applicable across multiple tasks. Despite their success, challenges persist in specialized domains such as translation, where instruction tuning may prioritize fluency over accuracy. Against this backdrop, the present study conducts a comparative evaluation of ChatGPT-Plus and DeepSeek (R1) on a high-fidelity bilingual retrieval-and-translation task. A single standardize prompt directs each model to access the Arabic-language news section of the College of Medicine, University of Baghdad, retrieve the three most r

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Wed Aug 01 2018
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The purpose of this paper is to apply different transportation models in their minimum and maximum values by finding starting basic feasible solution and finding the optimal solution. The requirements of transportation models were presented with one of their applications in the case of minimizing the objective function, which was conducted by the researcher as real data, which took place one month in 2015, in one of the poultry farms for the production of eggs

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