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. TNS is published irregularly. 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

View full aims & scope

Editors View full editorial board

Sheiladevi Sukumaran
SEGi University
Malaysia
Editorial Board
Amnah Asiri
Prince Sattam Bin Abdulaziz University
Al Kharj, Saudi Arabia
Editorial Board
Çiğdem Gülüzar Altıntop
Erciyes University
Turkey
Editorial Board
Javier Cifuentes-Faura
University of Murcia
Spain
Editorial Board

Latest articles View all articles

Research Article
Published on 13 June 2025 DOI: 10.54254/2753-8818/2025.24038
Xiaoyan Liu

Alzheimer's disease (AD) patients experience declining memory, anxiety, and depression along with a decrease in adult hippocampal neurogenesis (AHN). It's still unclear if improving AHN in the damaged AD brain will improve affective and cognitive performance. According to earlier studies, in two different AD mice models, 5×FAD and 3×Tg-AD, patterned optogenetic activation of the hypothalamic supramammillary nucleus (SuM) increases AHN. Interestingly, these AD mice's memory and emotional deficiencies are restored when SuM-enhanced adult-born neurons (ABNs) are chemogenetic activated. In contrast, behavioral impairments cannot be restored by SuM stimulation alone or by activating ABNs without modifying SuM. This paper will design 3 experiments to explore the mechanism of activating SuM modified ABN to improve memory and emotional function in AD, including who enhances cognitive and emotional function, the activition of microglia and the long-term effect of SuM modified ABNs on memory and emotion function of AD mice.

Show more
View pdf
Liu,X. (2025). The Mechanism of Activating SuM Modified ABN to Improve Memory and Emotional Function in AD. Theoretical and Natural Science,115,1-9.
Export citation
Research Article
Published on 9 June 2025 DOI: 10.54254/2753-8818/2025.PJ23750
Tianze Yu

In the past few decades, with the gradual maturation of robotics, especially in medical applications, tactile sensors based on various sensing principles have been developed. A multitude of technical solutions have been employed to design tactile sensors. Notably, microfabrication-based approaches possess several appealing features. Microfabrication technology enables the development of miniature sensors with excellent performance, which exhibit outstanding metrological characteristics, such as high precision, sensitivity, low power consumption, and favorable frequency response. The compact size and superior metrological properties enhance the potential role of tactile sensors in the medical field, particularly tactile resonance sensors (TRS). Its principle involves measuring the frequency shift △f, defined as the difference between the resonance frequency of the freely vibrating sensor and the resonance frequency measured when the sensor encounters an object. Therefore, △ f is related to the acoustic impedance of the object and can be utilized to characterize its material properties. In the medical domain, tactile resonance sensor systems have been developed for various applications, including cancer detection, assessment of human egg fertility, measurement of intraocular pressure, and diagnosis of edema. In this review, we mainly explore the basic principles, major medical applications, technological advancements, and challenges of TRS. TRS shows remarkable potential in medical application. Although innovations in sensor design and materials have expanded its functions, issues such as signal interference, lack of standardization, and insufficient clinical verification still need to be addressed. Overcoming these challenges is essential for realizing the full potential of TRS in improving medical diagnosis and patient care.

Show more
View pdf
Yu,T. (2025). Exploring Tactile Resonance Sensors: The Revolutionary Force and Challenges in the Medical Field. Theoretical and Natural Science,114,9-15.
Export citation
Research Article
Published on 30 May 2025 DOI: 10.54254/2753-8818/2025.PJ23387
Bingyuan Lu

Due to the increase in the number of early cardiac groups in today's society, there is no complete screening and rehabilitation process for early cardiac groups at the social level. This paper mainly studies the whole process of screening methods and sports rehabilitation methods to improve the quality of life of patients and help the body recover. This article mainly summarizes and reviews the relevant papers in the past and concludes that the screening of early heart disease requires a variety of means of synchronous cooperation. Holter, electrocardiogram, B-ultrasound and exercise electrocardiogram are synchronously coordinated to determine the risk of premature heartbeat. In cooperation with medium- and low-intensity aerobic training and strength training, physical recovery and improvement of heart function. As a relatively common heart disease, the popularization of the perception of the disease should not only be at the doctor's level, but should also make patients correctly recognize the means of rehabilitation and recovery of the disease, so that patients can reduce psychological pressure and face it positively. Having a correct and complete understanding of the disease can also help the body recover.

Show more
View pdf
Lu,B. (2025). Risk Screening of Premature Heartbeat and Sports Rehabilitation. Theoretical and Natural Science,114,1-8.
Export citation
Research Article
Published on 9 June 2025 DOI: 10.54254/2753-8818/2025.AU23757
Zhenbang Wang

This paper studies the research achievements of artificial intelligence (AI) and machine learning in Weight Loss in the past decade and analyzes the impacts and application prospects of AI and machine learning on Weight Loss. Obesity has become the most significant threat to human health. It is estimated that the global number of obese people will exceed 2.16 billion in 2023. AI and machine learning can analyze a large amount of complex data (including genetic, gene expression, metabolic, gut microbiota, hormonal, dietary, behavioral, and environmental factors, etc.) more efficiently and accurately. They have opened new avenues in areas such as analyzing the causes of obesity, predicting obesity risks, diagnosing obesity and determining its subtypes, providing personalized and precise nutrition plans, and offering psychological support, making it possible to address the weight loss issues of such a large-scale population. This paper systematically analyzes the integration of relevant scientific research achievements with various links in Weight Loss, exploring the direction for the further practical and commercial transformation of scientific research achievements. At the same time, based on the urgent pain points in Weight Loss applications, it analyzes the current research gaps and deficiencies and proposes suggestions for future scientific research directions.

Show more
View pdf
Wang,Z. (2025). Research and Application Prospects Analysis of Artificial Intelligence and Machine Learning in Weight Loss. Theoretical and Natural Science,113,18-25.
Export citation

Volumes View all volumes

Volume 115June 2025

Find articles

Proceedings of the 3rd International Conference on Modern Medicine and Global Health

Conference website: https://2025.icmmgh.org/

Conference date: 20 January 2025

ISBN: 978-1-80590-193-8(Print)/978-1-80590-194-5(Online)

Editor: Sheiladevi Sukumaran

Volume 114June 2025

Find articles

Proceedings of ICBioMed 2025 Symposium: Extended Reality (XR) Applications in Medical Imaging

Conference website: https://www.icbiomed.org/petalingjaya.html

Conference date: 1 August 2025

ISBN: 978-1-80590-163-1(Print)/978-1-80590-164-8(Online)

Editor: Alan Wang, Sheiladevi Sukumaran

Volume 113June 2025

Find articles

Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

Conference website: https://2025.icbiomed.org/auckland.html

Conference date: 17 October 2025

ISBN: 978-1-80590-161-7(Print)/978-1-80590-162-4(Online)

Editor: Alan Wang

Volume 112June 2025

Find articles

Proceedings of ICEGEE 2025 Symposium: Sensor Technology and Multimodal Data Analysis

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

Conference date: 16 June 2025

ISBN: 978-1-80590-151-8(Print)/978-1-80590-152-5(Online)

Editor: Alan Wang

Indexing

The published articles will be submitted to following databases below: