Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences

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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.

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December 21, 2022

Theoretical and Natural Science - Gender and Diversity pledge

We pledge to our series community:

  • We're committed: we put diversity and inclusion at the heart of our activities
  • We champion change: we're working to increase the percentage of women, early career ...

December 6, 2021

Theoretical and Natural Science - Disclaimer

  • The statements, opinions and data contained in the series Theoretical and Natural Science (TNS) are solely those of the individual authors and contributors and not of the publisher and the editor(s). Theoretical and Natural Science stays neutral with regard to jurisdictional claims in published maps and ...
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  • February 22, 2023, Good News! Welcome Dr. Marwan Omar from Illinois Institute of Technology to give a speech at CONF-CIAP 2023!
  • February 21, 2023, Good News! Welcome Dr. Roman Bauer from University of Surrey to give a speech at CONF-CIAP 2023!
  • February 21, 2023, Good News! Welcome Dr. Achintya Haldar from University of Arizona to give a speech at CONF-CIAP 2023!
  • February 14, 2023, Good News! Welcome Dr. Alvina Haseeb from Auckland University to give a speech at ICMMGH 2023!
  • February 13, 2023, Good News! Welcome Dr. Alan Wang from Auckland University to give a speech at ICBioMed 2023!
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    Latest articles

    Open Access | Article

    The research carried out in this study provides valuable insights into the intricate dynamics of thyroid disorders in the Chaoshan region of China, exploring risk factors, demographic correlations, and the essential role of iodine intake. It uncovers the complex relationships between iodine levels, thyroid health, and demographic characteristics, highlighting the public health implications and the need for targeted interventions. The purpose of this research was to elucidate the landscape of thyroid disorders within this specific region and how various factors, including iodine intake and demographic variables, influence thyroid health.

    Open Access | Article

    Addressing the replenishment and pricing issues of vegetable products is crucial for ensuring product quality and freshness, optimizing sales combinations, refining pricing strategies, and enhancing operational efficiency. Through scientific data analysis and decision-making, supermarkets can better meet consumer demands, enhance competitiveness, and achieve sustainable development. This paper discusses the complex issues of procurement and pricing of fresh vegetable products in current supermarkets. It employs methods such as hierarchical clustering analysis, Topsis evaluation, and optimization models to construct data models, establishing multiple models to address replenishment and pricing decision-making from various perspectives. The research indicates, firstly, the paper categorizes vegetable products into four clusters, explores complementary and substitute products within them, and discovers that reasonable sales combinations among different types of single products can mutually promote sales, leading to higher economic benefits for supermarkets. Secondly, the paper derives a mathematical model describing the relationship between total profit, total sales volume of individual products, and pricing. This model provides valuable recommendations for supermarkets’ replenishment and pricing decisions, ensuring practical implementation of pricing and replenishment plans. Thirdly, the paper establishes a model for maximizing profits under constant replenishment quantities, assisting supermarkets in formulating more scientific replenishment plans for individual products within a limited number of available items. By judiciously applying the innovative mathematical models presented in this paper, supermarkets can obtain reliable market analysis and make corresponding replenishment and pricing decisions.

    Open Access | Article

    Due to the exponential growth of cars in urban areas, parking problems have become a significant concern. Addressing this issue requires efficient methods for locating available parking spaces, enhancing the overall experience for drivers. This paper introduces a parking lot recommendation model leveraging meta-heuristic algorithms to generate a list of potential parking locations based on the user’s travel destinations. The primary objectives of these algorithms include minimizing travel distance, reducing total parking fees, and selecting parking lots with ample available spaces. The proposed model incorporates bio-inspired algorithms, including simulated annealing, genetic algorithms, and their adaptive variants. Our evaluation compares the performance of these algorithms, highlighting the adaptive simulated annealing’s superior quality of solutions and robustness against local minima. However, it is important to note that this approach comes with a trade-off, requiring longer execution times. In summary, this research contributes a novel parking lot recommendation model that effectively addresses the challenges posed by urban parking. The performance evaluation underscores the efficacy of the adaptive simulated annealing approach, showcasing its potential for practical implementation despite its relatively longer execution time.

    Open Access | Article

    With the development of quantum mechanics, it is applied to different fields, including biology. As intricate as human brains, quantum physics is replacing classical physics in explaining consciousness-related brain functions. The bilayer phospholipid membrane enables neurons in the brain to store and protect quantum information, and the abundance of 1/2-spin phosphorous creates potential for quantum entanglement that allows information to transfer along long distances and process consciousness. Scientists have used Schrödinger's cat thought experiment to explain how the uncertain and superimposed states in quantum physics can be applied to our decision-making behavior with conditions of "Yes" or "No." Scientists also conducted experiments to witness the quantum entanglement of particles in the brain. The observation of the phenomenon broke the pre-assumption that quantum entanglement is too fragile to occur in the chaotic environment in human brains, and it allows the possibility of ongoing conscious processing there. To further understand the decision-making mechanism, physicists should also integrate the knowledge in neuroscience, psychology, sociology, and other interdisciplinary subjects.

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