The current research is concerned with studying the decisive answers which are considered quick and conclusive. These answers can effectively interrupt the opponent's argument and close the dialogue.This research is concentrated on deliberative methodology focusing on the decisive answer's activity and ending them through several completing and argument sides. This research consists of an introduction and three parts, the current introduction is focused the light on the concept of decisive answers and its uses in literature and the scarce of speech, and how to consider it with one dialogue description,that dialogue constitute by ? The first part is concerned with those answers through the deliberative methodology and classifying decisive answers in sequence with those answers. Part two is dealt with arrangement and employment of arguments in decisive answers in consist with argument concept, it is studied the mechanism of presenting arguments in this field. The last and the third partis dealt with the origins and the essence of decisive answers through critical necessities that arguments are concentrated through.In this research, there is a concentration in dialogue necessities and the mechanism of intentions for the basis of those answers.
The Decisive Answers: A Pragmatic Linguistic Study
Pragmatic Linguistics
discourse analysis
illocutionary act
Argument
Publication Date
Thu Jun 20 2024
Journal Name
Fizjoterapia Polska
Development Artificial Neural Network (ANN) computing model to analyses men's 100¬meter sprint performance trends
artificial neural network
men’s 100-meter
analysis
accelerate first of (10) meters
speed rate
time first of 10 meters
reaction time
Coaches and analysts face a significant challenge of inaccurate estimation when analyzing Men's 100 Meter Sprint Performance, particularly when there is limited data available. This necessitates the use of modern technologies to address the problem of inaccurate estimation. Unfortunately, current methods used to estimate Men's 100 Meter Sprint Performance indexes in Iraq are ineffective, highlighting the need to adopt new and advanced technologies that are fast, accurate, and flexible. Therefore, the objective of this study was to utilize an advanced method known as artificial neural networks to estimate four key indexes: Accelerate First of 10 meters, Speed Rate, Time First of 10 meters, and Reaction Time. The application of artifi
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