Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.7
4.2
Journals
Technologies
Special Issues
Technological Advances in Science, Medicine, and Engineering 2024
share announcement

Technological Advances in Science, Medicine, and Engineering 2024

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 8200

Special Issue Editors

Prof. Dr. Xavier Fernando

E-Mail Website
Guest Editor
Dept. of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Interests: wireless communications; signal processing; optical communications; machine learning; IoT; sensing, tracking and localization
Special Issues, Collections and Topics in MDPI journals
Dr. Nades Palaniyar

E-Mail Website
Guest Editor
Program in Translational Medicine, PGCRL, The Hospital for Sick Children, and Dept. of Lab Medicine and Pathobiology, and the Institute of Medical Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
Interests: AI in medicine; infectious and inflammatory diseases; neutrophil extracellular traps (NETs); molecualr mechanisms; drug scrreening
Special Issues, Collections and Topics in MDPI journals
Dr. Pratheepa Jeganathan

E-Mail Website1 Website2
Guest Editor
Department of Mathematics and Statistics and The School of Computational Science and Engineering, Faculty of Science, McMaster University, Hamilton, ON, Canada
Interests: multi-view learning with applications in microbiome multi-omics, spatial multi-omics, and loss reserving in non-life insurance; statistical theory for dependence modeling; generative models

Special Issue Information

Dear Colleagues,

This Special Issue showcases papers emerging from the 28th Technological Advances in Science, Medicine, and Engineering (TASME) In-Person/Zoom Hybrid Conference (https://tasmeconference.org/; July 6–7, 2024; the University of Toronto’s Scarborough campus), focusing on technological advances in science, medicine, and engineering. The subject areas include, but are not limited to, the following:

  1. Civil and environmental engineering;
  2. Electrical and mechanical engineering;
  3. Materials and energy technology;
  4. Cancer and nervous systems;
  5. Immunity, lunch infection, and COVID;
  6. Internal medicine, mental health, public health, and healthcare system;
  7. Life and environmental sciences;
  8. Physical sciences, tech innovation, and IoT applications;
  9. Medical technology, biotech and pharma, and drug design;
  10. Information technology (cybersecurity, data science, and E-learning)

In addition, we also collect original research and review papers which are not from the conference on the above-mentioned topics.

Prof. Dr. Xavier Fernando
Dr. Nades Palaniyar
Dr. Pratheepa Jeganathan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information systems
  • artifical intelligence
  • medical science
  • immunology
  • material science
  • intelligent communications
  • engineering
  • biosystems engineering
  • urban forestry
  • flow cytometry

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

17 pages, 3073 KiB  
Article
The Gradient of Spontaneous Oscillations Across Cortical Hierarchies Measured by Wearable Magnetoencephalography
by Xiaoyu Liang, Yuyu Ma, Huanqi Wu, Ruilin Wang, Ruonan Wang, Changzeng Liu, Yang Gao and Xiaolin Ning
Technologies 2024, 12(12), 254; https://doi.org/10.3390/technologies12120254 - 9 Dec 2024
Viewed by 376
Abstract
The spontaneous oscillations within the brain are intimately linked to the hierarchical structures of the cortex, as evidenced by the cross-cortical gradient between parametrized spontaneous oscillations and cortical locations. Despite the significance of both peak frequency and peak time in characterizing these oscillations, [...] Read more.
The spontaneous oscillations within the brain are intimately linked to the hierarchical structures of the cortex, as evidenced by the cross-cortical gradient between parametrized spontaneous oscillations and cortical locations. Despite the significance of both peak frequency and peak time in characterizing these oscillations, limited research has explored the relationship between peak time and cortical locations. And no studies have demonstrated that the cross-cortical gradient can be measured by optically pumped magnetometer-based magnetoencephalography (OPM-MEG). Therefore, the cross-cortical gradient of parameterized spontaneous oscillation was analyzed for oscillations recorded by OPM-MEG using restricted maximum likelihood estimation with a linear mixed-effects model. It was validated that OPM-MEG can measure the cross-cortical gradient of spontaneous oscillations. Furthermore, results demonstrated the difference in the cross-cortical gradient between spontaneous oscillations during eye-opening and eye-closing conditions. The methods and conclusions offer potential to integrate electrophysiological and structural information of the brain, which contributes to the analysis of oscillatory fluctuations across the cortex recorded by OPM-MEG. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

18 pages, 6729 KiB  
Article
Experimental Study on Ignition and Pressure-Gain Achievement in Low-Vacuum Conditions for a Pulsed Detonation Combustor
by Andrei Vlad Cojocea, Mihnea Gall, George Ionuț Vrabie, Tudor Cuciuc, Ionuț Porumbel, Gabriel Ursescu and Daniel Eugeniu Crunţeanu
Technologies 2024, 12(12), 252; https://doi.org/10.3390/technologies12120252 - 2 Dec 2024
Viewed by 667
Abstract
Pressure-gain combustion (PGC) represents a promising alternative to conventional propulsion systems for interplanetary travel due to its key advantages, including higher thermodynamic efficiency, increased specific impulse, and more compact engine designs. However, to elevate this technology to a sufficient technology readiness level (TRL) [...] Read more.
Pressure-gain combustion (PGC) represents a promising alternative to conventional propulsion systems for interplanetary travel due to its key advantages, including higher thermodynamic efficiency, increased specific impulse, and more compact engine designs. However, to elevate this technology to a sufficient technology readiness level (TRL) for practical application, extensive experimental validation, particularly under vacuum conditions, is essential. This study focuses on the performance of a pulsed-detonation combustor (PDC) under near-vacuum conditions, with two primary objectives: to assess the combustor’s ignition capabilities and to characterize the shock wave behavior at the exit plane. To achieve these objectives, high-frequency pressure sensors are strategically positioned within both the vacuum chamber and the combustor prototype to capture the pressure cycles during operation, providing insights into pressure augmentation over a period of approximately 0.5 s. Additionally, the Schlieren visualization technique is employed to analyze and interpret the flow structures of the exhaust jet. The combination of these experimental methods enables a comprehensive understanding of the ignition dynamics and the development of shock waves, contributing valuable data to advance PGC technology for space-exploration applications. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

21 pages, 4894 KiB  
Article
An Analytical Model for the Plastic Bending of Anisotropic Sheet Materials, Incorporating the Strain-Hardening Effect
by Yaroslav Erisov, Alexander Kuzin and Andry Sedelnikov
Technologies 2024, 12(12), 236; https://doi.org/10.3390/technologies12120236 - 21 Nov 2024
Viewed by 731
Abstract
This study develops an analytical model for the plastic bending of anisotropic sheet materials, incorporating strain-hardening effects. The model, experimentally validated with aluminum alloy samples and digital image correlation, accurately predicts stress–strain distributions, bending moments, and thinning behavior in the bending processes. The [...] Read more.
This study develops an analytical model for the plastic bending of anisotropic sheet materials, incorporating strain-hardening effects. The model, experimentally validated with aluminum alloy samples and digital image correlation, accurately predicts stress–strain distributions, bending moments, and thinning behavior in the bending processes. The results reveal that while plastic anisotropy significantly increases the strain intensity, enhancing it by up to 15% on the inner surface relative to the outer under identical bending radius, it does not affect the position of the neutral layer. Strain hardening, on the other hand, raises the bending moment by approximately 12% and contributes to material thinning, which can reach 3% at smaller bend radii. Furthermore, quantitative analysis shows that decreasing the bend radius intensifies the strain, impacting the final geometry of the workpiece. These findings provide valuable insights for optimizing die design and material selection in forming processes involving anisotropic materials, enabling engineers to more precisely control the force requirements and product dimensions in applications where accurate bending characteristics are critical. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

17 pages, 2482 KiB  
Article
Smart Insole-Based Plantar Pressure Analysis for Healthy and Diabetic Feet Classification: Statistical vs. Machine Learning Approaches
by Dipak Kumar Agrawal, Watcharin Jongpinit, Soodkhet Pojprapai, Wipawee Usaha, Pattra Wattanapan, Pornthep Tangkanjanavelukul and Timporn Vitoonpong
Technologies 2024, 12(11), 231; https://doi.org/10.3390/technologies12110231 - 19 Nov 2024
Viewed by 1074
Abstract
Diabetes is a significant global health issue impacting millions. Approximately 26 million diabetics experience foot ulcers, with 20% ending up with amputations, resulting in high morbidity, mortality, and costs. Plantar pressure screening shows potential for early detection of Diabetic Foot Ulcers (DFUs). Although [...] Read more.
Diabetes is a significant global health issue impacting millions. Approximately 26 million diabetics experience foot ulcers, with 20% ending up with amputations, resulting in high morbidity, mortality, and costs. Plantar pressure screening shows potential for early detection of Diabetic Foot Ulcers (DFUs). Although foot ulcers often occur due to excessive pressure on the soles during dynamic activities, most studies focus on static pressure measurements. This study’s primary objective is to apply wireless plantar pressure sensor-embedded insoles to classify and detect diabetic feet from healthy ones based on dynamic plantar pressure. The secondary objective is to compare statistical-based and Machine Learning (ML) classification methods. Data from 150 subjects were collected from the insoles during walking, revealing that diabetic feet have higher plantar pressure than healthy feet, which is consistent with prior research. The Adaptive Boosting (AdaBoost) ML model achieved the highest accuracy of 0.85, outperforming the statistical method, which had an accuracy of 0.67. These findings suggest that ML models, combined with pressure sensor-embedded insoles, can effectively classify healthy and diabetic feet using plantar pressure features. Future research will focus on using these insoles with ML to classify various stages of diabetic neuropathy, aiming for early prediction of foot ulcers in home settings. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

15 pages, 956 KiB  
Article
Technologies for Increasing the Control Efficiency of Small Spacecraft with Solar Panels by Taking into Account Temperature Shock
by Andrey Sedelinkov, Alexandra Nikolaeva, Valeria Serdakova and Ekaterina Khnyryova
Technologies 2024, 12(10), 207; https://doi.org/10.3390/technologies12100207 - 21 Oct 2024
Viewed by 1542
Abstract
The problem of the effective control of a small spacecraft is very relevant for solving a number of target tasks. Such tasks include, for example, remote sensing of the Earth or the implementation of gravity-sensitive processes. Therefore, it is necessary to develop new [...] Read more.
The problem of the effective control of a small spacecraft is very relevant for solving a number of target tasks. Such tasks include, for example, remote sensing of the Earth or the implementation of gravity-sensitive processes. Therefore, it is necessary to develop new technologies for controlling small spacecraft. These technologies must take into account a number of disturbing factors that have not been taken into account previously. Temperature shock is one such factor for small spacecraft with solar panels. Therefore, the goal of the work is to create a new technology for controlling a small spacecraft based on a mathematical model of the stressed/deformed state of a solar panel during a temperature shock. The main methods for solving the problem are mathematical methods for solving initial/boundary value problems, in particular, the initial/boundary value problem of the third kind. As a result, an approximate solution for the deformation of a solar panel during a temperature shock was obtained. This solution is more general than those obtained previously. In particular, it satisfies the symmetrical condition of the solar panel. This could not be achieved by the previous solutions. We also observe an improvement (as compared to the previous solutions) in the fulfillment of the boundary conditions for the whole duration of the temperature shock. Based on this, a new technology for controlling a small spacecraft was created and its effectiveness was demonstrated. Application of the developed technology will improve the performance of the target tasks such as remote sensing of the Earth or the implementation of gravity-sensitive processes. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

Review

Jump to: Research

20 pages, 2669 KiB  
Review
Exploring Silica Nanoparticles: A Sustainable Solution for Pest Control in Sri Lankan Rice Farming
by Zeyu Wang, Nirusha Thavarajah and Xavier Fernando
Technologies 2024, 12(11), 210; https://doi.org/10.3390/technologies12110210 - 23 Oct 2024
Viewed by 2227
Abstract
Rice cultivation stands as a cornerstone of Sri Lanka’s economy, serving as a vital source of employment for rural communities. However, the constraints of limited land availability have prompted an escalating dependence on agrochemicals, notably for pest management, thereby posing significant threats to [...] Read more.
Rice cultivation stands as a cornerstone of Sri Lanka’s economy, serving as a vital source of employment for rural communities. However, the constraints of limited land availability have prompted an escalating dependence on agrochemicals, notably for pest management, thereby posing significant threats to human health and the environment. This review delves into the exploration of silica nanoparticles as a promising eco-friendly substitute for conventional pesticides in the context of Sri Lankan rice farming. It comprehensively examines various aspects, including the synthesis methods of silica nanoparticles, their encapsulation with synthetic pesticides, and an evaluation of their efficacy in pest control. Furthermore, it sheds light on the innovative utilization of agricultural waste such as rice husk and straw in the production of silica-based nanopesticides. This approach not only demonstrates a shift towards sustainable agricultural practices but also aligns with the principles of green chemistry and circular economy, offering a holistic solution to the challenges faced by the rice farming sector in Sri Lanka. Full article
(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-6
Back to TopTop