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Feature Papers of J—Multidisciplinary Scientific Journal in 2025
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Feature Papers of J—Multidisciplinary Scientific Journal in 2025

A special issue of J (ISSN 2571-8800).

Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 11246

Special Issue Editor

Dr. Pietro Cipresso

E-Mail Website
Guest Editor
1. Department of Psychology, University of Turin, 10124 Torino, Italy
2. Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
3. Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, 20145 Milan, Italy
Interests: psychometrics; biostatistics; complex systems and computational modeling; mathematical psychology; psychophysiology methods; biosensors and biomedical signal processing; virtual reality methods and computational science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a new Special Issue entitled “Feature Papers of J—Multidisciplinary Scientific Journal in 2025”. J—Multidisciplinary Scientific Journal is a peer-reviewed, open access journal on all natural and applied sciences, published online by MDPI on a quarterly basis. Its goal is to improve the fast dissemination of new research results and ideas and allow research groups to build new studies, innovations, and knowledge without delay.

This Special Issue will be a collection of high-quality papers from excellent scholars around the world. Both original research articles and comprehensive review papers are welcome, and they will be published, free of charge, with full open access after peer review to benefit both authors and readers.

You are welcome to send short proposals to our Editorial Office (J@mdpi.com) prior to submission. While these will first be evaluated by editors, please note that selected full papers will still be subjected to a thorough and rigorous peer review.

We look forward to receiving your excellent work.

Dr. Pietro Cipresso
Guest Editor

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. J is an international peer-reviewed open access quarterly 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 1200 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

  • biology & life sciences
  • chemistry & materials science
  • computer science & mathematics
  • engineering
  • environmental & earth sciences
  • medicine & pharmacology
  • physical sciences

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

Published Papers (7 papers)

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Research

Jump to: Review, Other

11 pages, 2133 KB  
Article
Evaluation of Photodynamic Therapy Using AuNPs@Ce6 in 3D Cultures of Triple-Negative Breast Cancer
by Aveline Ventura, Giulia Capizzani Gonçalves, Cristina Pacheco Soares, Luciana Barros Sant’anna, Vitor Luca Moura Marmo, Sônia Khouri Sibelino and Leandro Raniero
J 2025, 8(4), 43; https://doi.org/10.3390/j8040043 - 17 Nov 2025
Viewed by 938
Abstract
Conventional cancer treatments have limited efficacy for aggressive subtypes such as triple-negative breast cancer (TNBC), which points to the importance of new therapeutic strategies. Functionalized nanoparticles in conjunction with photodynamic therapy (PDT) represent a promising alternative. Additionally, 3D cell culture emerges as a [...] Read more.
Conventional cancer treatments have limited efficacy for aggressive subtypes such as triple-negative breast cancer (TNBC), which points to the importance of new therapeutic strategies. Functionalized nanoparticles in conjunction with photodynamic therapy (PDT) represent a promising alternative. Additionally, 3D cell culture emerges as a more effective model, as it better replicates the structural and functional characteristics of the tumor microenvironment. In this study, 3D microtumors of TNBC were cultivated and treated with PDT using gold nanoparticles functionalized with Chlorin e6 (AuNPs@Ce6). Cell viability was assessed using the MTT colorimetric assay, combined with histological analysis using hematoxylin-eosin staining. The MTT assay and histological evaluation of the 3D spheroids demonstrated that PDT with AuNPs@Ce6 effectively reduced cell viability and induced necrotic morphological changes, while maintaining biocompatibility with the non-irradiated control group. These findings reinforce the potential of this approach for further investigation in TNBC models and underscore the value of 3D cultures as physiologically relevant and ethical alternatives to animal testing. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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15 pages, 2791 KB  
Article
Tagging Fluorescent Reporter to Epinecidin-1 Antimicrobial Peptide
by Sivakumar Jeyarajan, Harini Priya Ramesh, Atchyasri Anbarasu, Jayasudha Jayachandran and Anbarasu Kumarasamy
J 2025, 8(4), 42; https://doi.org/10.3390/j8040042 - 2 Nov 2025
Viewed by 1387
Abstract
In this study, we successfully cloned the fluorescent proteins eGFP and DsRed in-frame with the antimicrobial peptide epinecidin-1 (FIFHIIKGLFHAGKMIHGLV) at the N-terminal. The cloning strategy involved inserting the fluorescent reporters into the expression vector, followed by screening for positive clones through visual fluorescence [...] Read more.
In this study, we successfully cloned the fluorescent proteins eGFP and DsRed in-frame with the antimicrobial peptide epinecidin-1 (FIFHIIKGLFHAGKMIHGLV) at the N-terminal. The cloning strategy involved inserting the fluorescent reporters into the expression vector, followed by screening for positive clones through visual fluorescence detection and molecular validation. The visually identified fluorescent colonies were confirmed as positive by PCR and plasmid migration assays, indicating successful cloning. This fusion of fluorescent reporters with a short antimicrobial peptide enables real-time visualization and monitoring of the peptide’s mechanism of action on membranes and within cells, both in vivo and in vitro. The fusion of eGFP and DsRed to epinecidin-1 did not impair the expression or fluorescence of the reporter protein. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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26 pages, 4555 KB  
Article
Modeling the Mutual Dynamic Correlations of Words in Written Texts Using Multivariate Hawkes Processes
by Hiroshi Ogura, Yasutaka Hanada, Keitaro Osakabe and Masato Kondo
J 2025, 8(4), 40; https://doi.org/10.3390/j8040040 - 14 Oct 2025
Viewed by 1110
Abstract
The occurrence patterns of important words found in six texts (one historical pamphlet and five renowned academic books) are analyzed using both univariate and multivariate Hawkes processes. By treating the occurrence patterns as binary time-series data along the texts, we investigate how effectively [...] Read more.
The occurrence patterns of important words found in six texts (one historical pamphlet and five renowned academic books) are analyzed using both univariate and multivariate Hawkes processes. By treating the occurrence patterns as binary time-series data along the texts, we investigate how effectively univariate and multivariate Hawkes processes capture the characteristics of these word occurrence signals. Through maximum likelihood estimation and subsequent simulations, we found that the multivariate Hawkes process clearly outperforms the univariate Hawkes process in modeling word occurrence signals. Moreover, we found that the multivariate Hawkes process can provide a Hawkes graph, which serves as an intuitive representation of the relationships between concepts appearing in the analyzed text. Furthermore, our study demonstrates that the importance of concepts within a given text can be quantitatively estimated based on the optimized parameter values of the multivariate Hawkes process. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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18 pages, 2133 KB  
Article
A Simulation Game in Mineral Exploration: A Mineral Adventure from Exploration to Exploitation
by George Valakas, Daphne Sideri and Konstantinos Modis
J 2025, 8(4), 38; https://doi.org/10.3390/j8040038 - 1 Oct 2025
Viewed by 1335
Abstract
In recent decades, simulation has emerged as a pivotal educational tool, bolstering scientific knowledge and honing decision-making skills across diverse disciplines. Surgery and flight simulators are well-known tools used to practice and train safely in surgeries and piloting. Meanwhile, the development of simulation [...] Read more.
In recent decades, simulation has emerged as a pivotal educational tool, bolstering scientific knowledge and honing decision-making skills across diverse disciplines. Surgery and flight simulators are well-known tools used to practice and train safely in surgeries and piloting. Meanwhile, the development of simulation games advances in other scientific fields, such as economics, management, engineering, and mathematics. These simulations offer learners a risk-free virtual platform to apply and refine their knowledge, leveraging animations, graphics, and interactive environments to enrich the learning experience. In engineering, while simulation is widely utilized as a powerful training tool for heavy equipment and process handling, the creation of strategy games for educational purposes is less frequent. This gap primarily stems from the challenge of converting complex engineering concepts and theories into a user-friendly yet comprehensive setup that preserves the more difficult aspects. This study adopts a design-based research approach to develop and evaluate an educational simulation game aimed at enhancing probabilistic and spatial reasoning in mineral exploration. The application generates random scenarios, within which users deploy strategies based on their knowledge, while accommodating the randomness of physical phenomena. The simulation game is adopted as an educational tool in the course “Introduction to Mineral Exploration” in the School of Mining and Metallurgical Engineering of the National Technical University of Athens. Additionally, we present the outcomes of game analytics and a qualitative evaluation derived from three workshops at higher education institutions in Greece. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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Review

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22 pages, 1460 KB  
Review
Insights into Molecular Interplay in Tuberculosis–COVID-19 Co-Infection via Integrated Multi-Omics Strategies
by Megha Chaudhari, Sunita Verma and Sushanta Deb
J 2025, 8(4), 41; https://doi.org/10.3390/j8040041 - 22 Oct 2025
Viewed by 1805
Abstract
The simultaneous occurrence of tuberculosis (TB) and COVID-19 posed a major public health challenge, particularly in regions heavily impacted by both diseases, due to their shared effects on the lungs, immune system dysfunction, and the possibility of more severe clinical outcomes. The role [...] Read more.
The simultaneous occurrence of tuberculosis (TB) and COVID-19 posed a major public health challenge, particularly in regions heavily impacted by both diseases, due to their shared effects on the lungs, immune system dysfunction, and the possibility of more severe clinical outcomes. The role of immunopathogenesis is crucial in influencing the progression of co-infection, which is marked by heightened inflammation, immune exhaustion, weakened T-cell responses, and unregulated cytokine production. To better understand the intricate interactions between host and pathogen and the immune disruptions associated with this dual epidemic, multi-omics approaches such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and microbiomics have proven to be effective methods. These comprehensive strategies provide detailed insights into the mechanisms of disease, help identify potential biomarkers, and aid in the identification of therapeutic targets. This review emphasizes the importance of immune responses and systems biology in comprehending the TB-COVID-19 syndemic and highlights the promise of multi-omics in advancing precision medicine and enhancing disease management. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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37 pages, 2156 KB  
Review
Experimental Fish Models in the Post-Genomic Era: Tools for Multidisciplinary Science
by Camila Carlino-Costa and Marco Antonio de Andrade Belo
J 2025, 8(4), 39; https://doi.org/10.3390/j8040039 - 2 Oct 2025
Viewed by 2975
Abstract
Fish have become increasingly prominent as experimental models due to their unique capacity to bridge basic biological research with translational applications across diverse scientific disciplines. Their biological traits, such as external fertilization, high fecundity, rapid embryonic development, and optical transparency, facilitate in vivo [...] Read more.
Fish have become increasingly prominent as experimental models due to their unique capacity to bridge basic biological research with translational applications across diverse scientific disciplines. Their biological traits, such as external fertilization, high fecundity, rapid embryonic development, and optical transparency, facilitate in vivo experimentation and real-time observation, making them ideal for integrative research. Species like zebrafish (Danio rerio) and medaka (Oryzias latipes) have been extensively validated in genetics, toxicology, neuroscience, immunology, and pharmacology, offering robust platforms for modeling human diseases, screening therapeutic compounds, and evaluating environmental risks. This review explores the multidisciplinary utility of fish models, emphasizing their role in connecting molecular mechanisms to clinical and environmental outcomes. We address the main species used, highlight their methodological advantages, and discuss the regulatory and ethical frameworks guiding their use. Additionally, we examine current limitations and future directions, particularly the incorporation of high-throughput omics approaches and real-time imaging technologies. The growing scientific relevance of fish models reinforces their strategic value in advancing cross-disciplinary knowledge and fostering innovation in translational science. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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Other

Jump to: Research, Review

17 pages, 2654 KB  
Technical Note
Development and Validation of Nanoedw 1.0: An Integrated Computational Tool for Drug Delivery Research and Nanotechnology Applications
by Edwar D. Montenegro, Marcia S. Rizzo, Heurison de Sousa e Silva and Marcília Pinheiro da Costa
J 2025, 8(4), 47; https://doi.org/10.3390/j8040047 - 11 Dec 2025
Viewed by 685
Abstract
Quantitative analyses in drug-delivery research are frequently distributed across multiple tools, which increases manual handling and the risk of transcription errors. NanoEDW 1.0 is an open source Python application that integrates calibration-curve generation, encapsulation-efficiency (EE%) calculation, and release kinetics modeling in a single, [...] Read more.
Quantitative analyses in drug-delivery research are frequently distributed across multiple tools, which increases manual handling and the risk of transcription errors. NanoEDW 1.0 is an open source Python application that integrates calibration-curve generation, encapsulation-efficiency (EE%) calculation, and release kinetics modeling in a single, streamlined workflow. This study aims to validate the performance of NanoEDW 1.0 by benchmarking it against spreadsheet/OriginLab® OriginPro 2025 analyses on experimental datasets from polymeric nanocarrier systems commonly used in drug encapsulation. The software performs linear regression to convert absorbance into concentration, computes EE% from raw experimental values, and fits drug-release profiles to classical models (including zero/first-order, Higuchi, Korsmeyer–Peppas, Weibull, and Modified Gompertz) using non-linear least squares with standard goodness-of-fit metrics (R2, RMSE). Results show close agreement with reference workflows for calibration parameters and EE%, as well as statistically comparable release-model fits, while reducing manual steps and analysis time. In conclusion, the validation confirms that NanoEDW 1.0 can streamline routine analyses and enhance reproducibility and accessibility in nanopharmaceutical research; source code and example datasets are provided to foster adoption. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2025)
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