The stock market is one of the best channels for financial development that requires a high accuracy prediction of the trades. This subject needs some technical skills and experience to achieve the best result. This p...
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ISBN:
(纸本)9781665403504
The stock market is one of the best channels for financial development that requires a high accuracy prediction of the trades. This subject needs some technical skills and experience to achieve the best result. This paper represents a tuned python console program based on the Neural Network (NN), and the Artificial Intelligence (AI) to predict future price in a qualified and quantized way with high accuracy and close to real. New ideas implemented in this paper are combining AI and NN model in the python console system with a security shell that works with voice and PIN to authenticate the user. It has Cross-Platform capability and supports cryptocurrencies price and their predictions. This program enables the user to have a duplication of the final data in his/her given email. The proposed approach presents the influence of AI and Machine learning in nearly future predictions. This system can be used in the all kinds of subjects that include past time databases.
PurposeThis study aimed to explore the capabilities of advanced large language models (LLMs), including OpenAI's GPT-4 variants, Google's Gemini series, and Anthropic's Claude series, in addressing highly ...
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PurposeThis study aimed to explore the capabilities of advanced large language models (LLMs), including OpenAI's GPT-4 variants, Google's Gemini series, and Anthropic's Claude series, in addressing highly specialized otolaryngology board examination questions. Additionally, the study included a longitudinal assessment of GPT-3.5 Turbo, which was evaluated using the same set of questions one year ago to identify changes in its performance over *** utilized a question bank comprising 2,576 multiple-choice and single-choice questions from a German online education platform tailored for otolaryngology board certification preparation. The questions were submitted to 11 different LLMs, including GPT-3.5 Turbo, GPT-4 variants, Gemini models, and Claude models, through Application programming Interfaces (APIs) using python scripts, facilitating efficient data collection and ***-4o demonstrated the highest accuracy among all models, particularly excelling in categories such as allergology and head and neck tumors. While the Claude models showed competitive performance, they generally lagged behind the GPT-4 variants. A comparison of GPT-3.5 Turbo's performance revealed a significant decline in accuracy over the past year. Newer LLMs displayed varied performance levels, with single-choice questions consistently yielding higher accuracy than multiple-choice questions across all *** newer LLMs show strong potential in addressing specialized medical content, the observed decline in GPT-3.5 Turbo's performance over time underscores the necessity for continuous evaluation. This study highlights the critical need for ongoing optimization and efficient API usage to improve LLMs potential for applications in medical education and certification.
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has be...
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The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development will become one of the important topics in the department of information related science. The objective of this research is to improve the ability of learning basic programming courses by using Zuvio interactive software. Zuvio employs the mathematical logic of computational thinking to analyze problems and enhance learners' interest in learning programming skills through a graphical interface tool with building blocks. It uses innovative interactive teaching to use peer and self-assessment to study the content of the course. Zuvio improves the design ability of different groups of class learning python programming. In line with the innovative teaching policy of the schools and the current stage of the learner's learning model, learning effectiveness can be achieved. The research results were analyzed by midterm and final experimental group scores, and the progress of the experimental group's scores was examined through descriptive statistics. The average and standard deviation of the assessment were used to analyze the progress of the experimental group students in the programming course. In the classroom, assessment criteria were set up as the basis for peer assessment scoring. After the midterm and final exams, the teacher assessment and peer assessment scores were analyzed for cognitive differences, and possible learning differences were analyzed. The students' professional ability was examined to see if it met the professional standards required by the course, and whether innovative teaching methods could improve the learning outcomes of learners with different professional backgrounds in python programming. The students' professi
Nowadays artificial intelligence is profoundly changing the *** python is the most popular Artificial intelligence programming language at present,teaching of python is becoming more and more critical in *** this pape...
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Nowadays artificial intelligence is profoundly changing the *** python is the most popular Artificial intelligence programming language at present,teaching of python is becoming more and more critical in *** this paper,after discussing the significance and advantages of python language,we put forward that before the teaching task we firstly should set the goal of python teaching according to the condition of our local applied *** specific teaching syllabus and teaching contents are formulated for python ***,the methods of teaching reform and evaluation of the course of python Language are also discussed in this paper.
Background: Practice of Unflattened or Flattening filter free (FFF) beam has become the high dose standard in radiotherapy (RT), such as stereotactic radio-surgery (SRS) and stereotactic radiotherapy (SRT). The remova...
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Background: Practice of Unflattened or Flattening filter free (FFF) beam has become the high dose standard in radiotherapy (RT), such as stereotactic radio-surgery (SRS) and stereotactic radiotherapy (SRT). The removal of a flattening filter (FF) from the path of a photon beam alters the characteristics of FFF beam. Since the conventional route for dosimetric analysis of FF beam cannot be applied to FFF beam, the procedure of analyzing beam characteristics for FFF beam based on inflection points (IPs) is used. IP is a point where the concavity change observed corresponds to its change in sign (1) of the second derivative. Aim: The objective of the study is to determine IPs for dosimetric analysis of the FFF beam profile. Methods and materials: In this study, IPs are determined through the python code programming based on the mathematical first principle of the derivative. They are compared with IPs estimated by the conventional graphical manual method using Microsoft Excel (MS). IPs and their dependent dosimetric parameters determined by both mathematical and graphical manual methods are compared. Result: Percentage differences between the IPs determined by both methods, for 6MVFFF inline and crossline beam profile are found to be 2.7% and 0.8% respectively. Similarly, the average penumbra differences for 6MVFFF inline and crossline beam profile are found to be 0.15 mm and 0.9 mm, respectively. However, differences in the field width between both methods are found insignificant. Conclusion: Graphical manual method is very time-consuming, tedious and user dependent. However, the mathematical method through python code programming is more precise, faster and independent of individual users. (C) 2019 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.
Computing has recently been introduced as a core subject in British schools, meaning that children need to learn computer programming. Teachers have to be prepared to deliver the new curriculum and children need the c...
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ISBN:
(数字)9783319631844
ISBN:
(纸本)9783319631844;9783319631837
Computing has recently been introduced as a core subject in British schools, meaning that children need to learn computer programming. Teachers have to be prepared to deliver the new curriculum and children need the correct environment and support to succeed. This paper discusses TuringLab, a challenge-based learning system for the python programming language and proposes Skramble, an embeddable python programming environment for use within existing learning systems. TuringLab has been used to teach children how to programme at a number of volunteer-led coding clubs. Children engaged well with the system, and the volunteers, who acted as teachers in these sessions, found it an extremely valuable educational tool. Skramble is an open source environment and is designed to abstract functionality such as code execution, error handling, syntax analysis, code testing, output capture and package management: allowing this feature-rich environment to be easily integrated into existing learning systems.
In this paper, a series of programming cases are designed which can be used to solve the technical problems of material science and engineering. These cases can provide a bridge between the teaching of python Programm...
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ISBN:
(纸本)9781509025084
In this paper, a series of programming cases are designed which can be used to solve the technical problems of material science and engineering. These cases can provide a bridge between the teaching of python programming and the solving of engineering technical problems. The results showed that the wide application of these case in the teaching can improve the study efficiency and foster autonomy.
Computing has recently been introduced as a core subject in British schools, meaning that children need to learn computer programming. Teachers have to be prepared to be able to deliver the new curriculum, but many of...
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ISBN:
(纸本)9789897581793
Computing has recently been introduced as a core subject in British schools, meaning that children need to learn computer programming. Teachers have to be prepared to be able to deliver the new curriculum, but many of them do not feel confident teaching it as they have no formal background in Computer Science. Also, when learning to programme, children need the correct environment and support to succeed. This paper presents TuringLab, an environment to assist teachers in delivering the practical elements of the computing curriculum, while also proving to be engaging and challenging for the children. Teachers can create programming challenges for their pupils and see how they are progressing (or struggling) during completion of the challenges. Students can undertake challenges in an engaging environment which displays a graphical output of their code and assists in understanding errors they may encounter. TuringLab has been used to teach children how to programme at a number of volunteer-led coding clubs. Children engaged well with TuringLab, and the volunteers, who acted as teachers in these sessions, found TuringLab an extremely valuable educational tool.
The integration of ChatGPT as a supportive tool in education, notably in programming courses, addresses the unique challenges of programming education by providing assistance with debugging, code generation, and expla...
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ISBN:
(纸本)9783031643149;9783031643156
The integration of ChatGPT as a supportive tool in education, notably in programming courses, addresses the unique challenges of programming education by providing assistance with debugging, code generation, and explanations. Despite existing research validating ChatGPT's effectiveness, its application in university-level programming education and a detailed understanding of student interactions and perspectives remain limited. This paper explores ChatGPT's impact on learning in a python programming course tailored for first-year students over eight weeks. By analyzing responses from surveys, open-ended questions, and student-ChatGPT dialog data, we aim to provide a comprehensive view of ChatGPT's utility and identify both its advantages and limitations as perceived by students. Our study uncovers a generally positive reception toward ChatGPT and offers insights into its role in enhancing the programming education experience. These findings contribute to the broader discourse on AI's potential in education, suggesting paths for future research and application.
Introduction: Effective feedback on cytology performance relies on navigating complex laboratory information system data, which is prone to errors and lacks flexibility. As a comprehensive solution, we used the python...
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