Theoretical and Natural Science

Open access

Print ISSN: 2753-8818

Online ISSN: 2753-8826

About TNS

The proceedings series Theoretical and Natural Science (TNS) is an international peer-reviewed open access series which publishes conference proceedings from a wide variety of disciplinary perspectives concerning theoretical studies and natural science issues. The series publishes articles that are research-oriented and welcomes theoretical articles concerning micro and macro-scale phenomena. Proceedings that are suitable for publication in the TNS cover domains on various perspectives of mathematics, physics, chemistry, biology, agricultural science, and medical science. The series aims to provide a high-level platform where academic achievements of great importance can be disseminated and shared.

Aims & scope of TNS are:
·Mathematics and Applied Mathematics
·Theoretical Physics
·Chemical Science
·Biological Sciences
·Agricultural Science & Technology
·Basic Science of Medicine
·Clinical and Public Health

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Editors View full editorial board

Sheiladevi Sukumaran
SEGi University
Malaysia
Editorial Board
Roman Bauer
University of Surrey
United Kingdom
Editorial Board
Çiğdem Gülüzar Altıntop
Erciyes University
Turkey
Editorial Board
Florian Marcel Nuţă
Danubius University of Galaţi
Galaţi, Romania
Editor-in-Chief
floriann@univ-danubius.ro

Latest articles View all articles

Research Article
Published on 31 August 2024 DOI: 10.54254/2753-8818/51/2024CH0103
Zixin Zhang

Heart disease is a major threat to human health, with a variety of contributing factors, and is not easily cured. This paper will present a dataset from a cardiovascular study of residents of Framingham, Massachusetts. First, the validity of the three models, logistic regression, random forest, and decision tree, is estimated by comparing information such as accuracy, precision, recall, and F1 values. The optimal model, i.e., the logistic regression model, was selected by plotting ROC curves and using AUC as a reference criterion for assessing the predictive effectiveness of the models. Then the raw data and data were preprocessed, including dealing with missing values. Finally, a logistic regression model was developed to analyze the influencing factors of heart disease. The purpose of this study was to use the results of the logistic model to help doctors and patients in heart disease treatment. The results show that the model has a good predictive effect.

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Zhang,Z. (2024).Prediction of heart disease based on logistic regression.Theoretical and Natural Science,51,1-7.
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Research Article
Published on 27 August 2024 DOI: 10.54254/2753-8818/50/20240661
Zilong Wang

This research looks into the association between fishing and microplastic contamination across countries, with a particular focus on how the growth of microplastic levels can impact fishery production. Through the use of a mixed-effect model we were able to look through data from 100 nations during the period 1990-2021, where fishery yield data was extracted from The World Bank and microplastic concentration data was obtained from the National Centers for Environmental Information; population data served as a control variable in our analysis. We found that there is indeed a significant negative correlation between levels of microplastics and fishing yield: an increase by 1 piece of microplastic per cubic meter leads to decrease in fishing yield by anything between 65 and 100 metric tonnes (95% confidence interval). This relationship held true for about 93% of all coastal countries studied. To accommodate for differences amongst nations, we introduced random intercepts and slopes in our mixed-effect model which helped capture variations specific to each country while still identifying an overarching pattern. The research we are doing is on the connection between fish catches and microplastic pollution which takes place in the different countries of the world, where we focus more on how high microplastic levels influence fishery production. Having made use of a mixed-effect model, we have been able to look at data that represents 100 nations within the period of time between 1990 and 2021; The World Bank provided us with fishery yield data while microplastic concentration data came from the National Centers for Environmental Information. In addition to these variables, population data was used as a control variable. The summary of our analysis points towards a significant inverse relationship noted between microplastic levels and fishing yield: an increase by one piece of plastic results in a decline by somewhere between 65 to 100 metric tonnes (95% confidence interval). This generalization held true for about 93% coastal countries considered under this study. To capture specific variations among nations but also identify an overall trend line while dealing with inter-country variability, random intercepts and slope components were included as part of our mixed-effect model methodology.

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Wang,Z. (2024).Correlation between fishing yield and microplastic levels across nations.Theoretical and Natural Science,50,64-74.
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Research Article
Published on 27 August 2024 DOI: 10.54254/2753-8818/50/20240660
Haoze Lu

The evolution of white LEDs, both organic and inorganic, has marked a transformative era in lighting technology known as solid-state lighting. This revolution is driven by electroluminescence, where electron-hole pairs recombine to emit light. While OLEDs have achieved high internal quantum efficiency, limited out-coupling efficiency remains a challenge. Improving light out-coupling efficiency is crucial for enhancing LED performance. This paper employs the Transfer Matrix Method to analyze the optical properties of OLEDs and aims to enhance light coupling, efficiency, and overall impact of LED and OLED technologies.

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Lu,H. (2024).Optically optimization of thin film light-emitting diodes based on transfer matrix.Theoretical and Natural Science,50,58-63.
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Research Article
Published on 27 August 2024 DOI: 10.54254/2753-8818/50/20240663
Yiqi Huang

With information entropy gradually taking the lead in modern information theory development, it begins to hold greater influence over multiple research areas as well as technology innovation. This paper aims to clarify people’s confusion with the development of entropy theory and provide a brief overview of the origin of entropy theory, including the original Shannon’s proposal, variants such as relative entropy and conditional entropy, and entropy concepts proposed by other scientists, such as Rényi Tsallis entropy. The paper also includes the current application of entropy, studies hotspots, and predicts future entropy development trends. This research paper is able to add more coherence and consistency to information entropy’s development, helping more people to better understand the concept of entropy and its derivation. At the same time, with hotspots of entropy fields of study, this paper hopes to attract more people to devote themselves to studying entropy-related fields, and boost technological development.

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Huang,Y. (2024).An overview of the development and applications of information entropy.Theoretical and Natural Science,50,52-57.
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Volumes View all volumes

Volume 51August 2024

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Proceedings of the Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations - CONFMPCS 2024

Conference website: https://www.confmpcs.org/

Conference date: 9 August 2024

ISBN: 978-1-83558-615-0(Print)/978-1-83558-616-7(Online)

Editor: Anil Fernando

Volume 50August 2024

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Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation

Conference website: https://www.confmpcs.org/

Conference date: 9 August 2024

ISBN: 978-1-83558-613-6(Print)/978-1-83558-614-3(Online)

Editor: Anil Fernando

Volume 49August 2024

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Proceedings of the 2nd International Conference on Environmental Geoscience and Earth Ecology

Conference website: https://www.icegee.org/

Conference date: 31 May 2024

ISBN: 978-1-83558-601-3(Print)/978-1-83558-602-0(Online)

Editor: Alan Wang

Volume 48August 2024

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Proceedings of the Climate Change and Emerging Health Threats: Navigating the Future of Public Health - ICEGEE 2024

Conference website: https://www.icegee.org/

Conference date: 31 May 2024

ISBN: 978-1-83558-599-3(Print)/978-1-83558-600-6(Online)

Editor: Alan Wang

Indexing

The published articles will be submitted to following databases below: