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Selected Papers from the 6th International Electronic Conference on Applied Sciences

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 March 2026) | Viewed by 2631

Special Issue Editors

Prof. Dr. Nunzio Cennamo

E-Mail Website
Guest Editor
Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
Interests: optical sensors; biosensors and chemical sensors; optical fiber sensors and optoelectronic devices
Special Issues, Collections and Topics in MDPI journals
Dr. Stefano Toldo

E-Mail Website
Guest Editor
Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22903, USA
Interests: acute myocardial infarction; heart failure; cardiac function; myocardial infarction; echocardiography; hypertension; cardiomyopathies; chronic heart failure; cardiovascular physiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue has been compiled in collaboration with the 6th International Electronic Conference on Applied Sciences, which has been organized by Applied Sciences and will take place from 9 to 11 December 2025 on the MDPI Sciforum platform (https://sciforum.net/event/ASEC2025). We welcome submissions from conference participants, with the aim being to publish selected extended versions of the presented papers in this Special Issue of Applied Sciences.

The following areas are covered:

  • Applied biosciences and bioengineering;
  • Nanosciences, chemistry, and materials science;
  • Computing and artificial intelligence;
  • Electrical, electronics, and communications engineering;
  • Mechanical and aerospace engineering;
  • Energy, environmental, and earth science;
  • Food science and technology;
  • Applied physical science.

Prof. Dr. Nunzio Cennamo
Dr. Stefano Toldo
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • applied biosciences and bioengineering nanosciences
  • chemistry and materials science computing and artificial intelligence electrical
  • electronics and communications engineering mechanical and aerospace engineering energy
  • environmental and earth science food science and technology applied physical science

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Published Papers (3 papers)

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Research

16 pages, 3160 KB  
Article
Soil-Aware Deep Learning for Robust Interpretation of Low-Strain Pile Integrity Tests
by Bora Canbula, Övünç Öztürk, Vehbi Özacar and Tuğba Özacar
Appl. Sci. 2026, 16(9), 4189; https://doi.org/10.3390/app16094189 - 24 Apr 2026
Viewed by 213
Abstract
The Low-Strain Pile Integrity Test (LSPIT), standardized in ASTM D5882, is widely used as a rapid and economical non-destructive technique for assessing pile continuity in deep foundation systems. However, interpretation of LSPIT reflectograms remains strongly dependent on expert judgment and is influenced by [...] Read more.
The Low-Strain Pile Integrity Test (LSPIT), standardized in ASTM D5882, is widely used as a rapid and economical non-destructive technique for assessing pile continuity in deep foundation systems. However, interpretation of LSPIT reflectograms remains strongly dependent on expert judgment and is influenced by soil–pile interaction effects such as damping and radiation losses, which can alter waveform morphology and confound automated defect screening. This study proposes a soil-aware deep learning framework that combines image-based reflectogram features with categorical geotechnical context describing the dominant soil regime at the measurement site. Reflectogram images are processed with a pretrained ConvNeXt-Large backbone, while soil information derived from Unified Soil Classification System (USCS) logs is represented as a categorical auxiliary input and mapped to a learnable embedding. The resulting multimodal design conditions waveform interpretation based on site context rather than relying on signal morphology alone. The framework is examined on an assembled benchmark of 510 expert-labeled reflectograms (404 intact and 106 defective), including a nine-site subset of 182 field records with explicit soil annotations. On the assembled benchmark, the model yields 99.41% accuracy and a weighted F1-score of 0.9941; on the nine-site subset, the observed accuracy is 99.45% with zero missed defective cases. Balanced accuracy, specificity, missed-detection rate, false-alarm rate, and confidence intervals are additionally reported to better align the evaluation with engineering screening practice. The study also states the current limits of the evidence base, including partial soil annotation, dominant-soil simplification, restricted soil coverage, and the absence of leave-site-out and interpretability-focused validation. Overall, the results support soil-aware multimodal learning as a promising proof-of-concept direction for more context-aware automated LSPIT interpretation, while also identifying the validation steps still required for broad field deployment. Full article
(This article belongs to the Special Issue Selected Papers from the 6th International Electronic Conference on Applied Sciences)
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12 pages, 3135 KB  
Article
Efficient Nanoparticle Sorting Through an Optofluidic Waveguide Splitter for Early Cancer Diagnosis: A Numerical Study
by Aurora Elicio, Morteza Maleki, Giuseppe Brunetti and Caterina Ciminelli
Appl. Sci. 2026, 16(9), 4162; https://doi.org/10.3390/app16094162 - 23 Apr 2026
Viewed by 272
Abstract
In this work, we present a numerical proof-of-concept study of a device for nanoparticle sorting, targeting size ranges relevant to exosome-like dimensions (typically 40–200 nm), which remains challenging for passive sorting techniques. The system consists of three silicon waveguides embedded in a CYTOP [...] Read more.
In this work, we present a numerical proof-of-concept study of a device for nanoparticle sorting, targeting size ranges relevant to exosome-like dimensions (typically 40–200 nm), which remains challenging for passive sorting techniques. The system consists of three silicon waveguides embedded in a CYTOP layer and arranged in a two-step directional-coupler configuration, integrated with a microchannel that carries a water-based buffer as the carrier fluid, transporting the suspended nanoparticles. Three-dimensional Finite Element Method (3D-FEM) simulations were performed, incorporating both optical and hydrodynamic forces to track particle dynamics within the microchannel and demonstrate controlled, size-selective particle deflection. First, numerical simulations show that nanospheres with diameters ranging from 500 nm to 700 nm can be effectively separated by the transverse trapping force at a 4:1 power-splitting ratio. Then, to extend the concept toward smaller size ranges, a bifurcated microchannel is introduced, enabling fluid-assisted transport in low-optical-field regions and allowing reliable separation of particles with smaller diameters (between 200 nm and 400 nm), accompanied by an 8:1 power-splitting ratio. These results demonstrate, within a numerical framework, the feasibility of an integrated photonic–microfluidic approach for size-selective nanoparticle sorting. The proposed strategy may support future pre-processing steps in liquid biopsy workflows, particularly for enriching nanoscale components such as exosome-sized vesicles, rather than constituting a direct diagnostic tool. Full article
(This article belongs to the Special Issue Selected Papers from the 6th International Electronic Conference on Applied Sciences)
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14 pages, 1731 KB  
Article
Inactivation of Respiratory Syncytial Virus in Aerosols by Means of Selected Radiated Microwaves
by Pietro Bia, Alessandro Filisetti, Margherita Losardo and Antonio Manna
Appl. Sci. 2026, 16(7), 3253; https://doi.org/10.3390/app16073253 - 27 Mar 2026
Viewed by 443
Abstract
Human respiratory syncytial virus (RSV) is the predominant etiological agent responsible for lower respiratory tract infections in young children. Recurrent infections throughout an individual’s lifespan can lead to significant morbidity, particularly in the elderly and in adults, influencing the trends of [...] Read more.
Human respiratory syncytial virus (RSV) is the predominant etiological agent responsible for lower respiratory tract infections in young children. Recurrent infections throughout an individual’s lifespan can lead to significant morbidity, particularly in the elderly and in adults, influencing the trends of hospitalization rates. Consequently, it is imperative to develop technologies that can sanitize environments from this pathogen while being compatible with human presence. Structure Resonant Energy Transfer (SRET) is the scientific principle underlying a sanitization technology that has demonstrated efficacy against several enveloped viruses, including SARS-CoV-2 and Influenza A viruses. SRET employs specific frequencies of electromagnetic waves to effectively disrupt the structural integrity of viral envelopes through dipole coupling. This disruption leads to the inactivation of the virus, rendering it non-infectious. The objective of this study is to analyse the effect of a specific SRET sanitization method on RSV. The sanitization test was conducted in aerosol form within a BSL-3 laboratory, exploring the frequency band from 8 to 16 GHz. An optimal sub-band was identified, giving an inactivation efficiency up to 99.5%. In conclusion, it has been demonstrated that the microwave non-thermal sanitization method is effective against RSV. These results confirm its potential as a viable approach for environmental decontamination. Full article
(This article belongs to the Special Issue Selected Papers from the 6th International Electronic Conference on Applied Sciences)
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