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Feature Papers of J—Multidisciplinary Scientific Journal in 2026
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Feature Papers of J—Multidisciplinary Scientific Journal in 2026

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1081

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 2026”. 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 (3 papers)

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Research

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14 pages, 6321 KB  
Article
Melt Damage and Prevention of Gas Nozzle Tip in Close-Coupled Gas Atomization
by Nazuku Kato, Tetsuji Ohmura, Takeshi Maruyama, Yukitaka Hamada and Toshihiko Shakouchi
J 2026, 9(1), 10; https://doi.org/10.3390/j9010010 - 10 Mar 2026
Viewed by 219
Abstract
Gas atomization is one method for producing fine metal powder. In close-coupled gas atomization, a high-speed gas jet is ejected near the molten metal, and the molten metal is further broken down in the shear layer at the outer edge of the jet, [...] Read more.
Gas atomization is one method for producing fine metal powder. In close-coupled gas atomization, a high-speed gas jet is ejected near the molten metal, and the molten metal is further broken down in the shear layer at the outer edge of the jet, producing fine metal powder of several micrometers to several tens of micrometers. By the way, in close-coupled gas atomization, if the protrusion length of the molten metal nozzle is short, a backflow occurs that goes around the melt delivery nozzle tip and reaches the gas nozzle tip, and the small droplets of molten metal that are atomized at the exit of the melt delivery nozzle are carried by this backflow to the gas nozzle tip, causing it to erode. In this study, we experimentally clarified the existence of the backflow for the first time through measurements of velocity distribution, then the flow state of the gas flow inside the gas atomizer was visualized approximately using the atomized water flow, and the existence of a backflow was confirmed. It was shown that microdroplets of water are carried by the backflow and reach the gas nozzle tip. This was also clarified through numerical analysis results for the air flow. Furthermore, the protrusion length of the melt delivery nozzle at which backflow does not occur was determined, and this was verified in actual gas atomization experiments using molten copper. In addition, the length of the melt delivery nozzle at which backflow does not occur, i.e., the gas nozzle tip does not melt, was found. Furthermore, molten-copper experiments were conducted using this gas atomizer to evaluate its performance. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2026)
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24 pages, 4319 KB  
Article
Integrative Population Analysis of MICA and MICB Using Unsupervised Machine Learning in a Large Histocompatibility Laboratory Cohort
by Luis Ramalhete, Paula Almeida, Ruben Araújo and Eduardo Espada
J 2026, 9(1), 8; https://doi.org/10.3390/j9010008 - 6 Mar 2026
Viewed by 236
Abstract
Background: Non-classical MHC class I molecules MICA and MICB are stress-inducible NKG2D ligands that contribute to immune surveillance, non-HLA antibody formation, and alloreactivity in solid organ and hematopoietic stem cell transplantation; population-level data for Southern Europe remain limited. Methods: High-resolution MICA and MICB [...] Read more.
Background: Non-classical MHC class I molecules MICA and MICB are stress-inducible NKG2D ligands that contribute to immune surveillance, non-HLA antibody formation, and alloreactivity in solid organ and hematopoietic stem cell transplantation; population-level data for Southern Europe remain limited. Methods: High-resolution MICA and MICB genotyping was performed in 1364 unrelated individuals from southern Portugal using a hybrid-capture next-generation sequencing workflow, and allele calls were analyzed with standard population-genetic metrics (allele and genotype frequencies, heterozygosity, Hardy–Weinsberg equilibrium, and LD-like D, D′, r2) and multilocus allele presence/absence encodings explored by k-means clustering, spectral clustering, principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection. Results: Forty-two MICA and twenty-two MICB alleles were identified; MICA*002:01, MICA*004:01, MICA*008:01, MICA*008:04 and MICB*002:01, MICB*004:01, MICB*005:02, MICB*008:01 were most frequent, and most individuals carried at least two distinct MICA and two distinct MICB allotypes. Co-occurrence and LD-like analyses revealed conserved MICA–MICB combinations, including a strong association between MICA*009:02 and MICB*005:06, while unsupervised analyses identified partially overlapping multilocus genotype backgrounds and recurrent four-allele constellations. Conclusions: These findings provide a detailed non-classical MHC reference for southern Portugal and a multilocus framework to support interpretation of non-HLA antibodies and MICA/MICB-aware donor evaluation in selected clinical scenarios, as well as the development of machine learning-based immunologic risk models. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2026)
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Review

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23 pages, 2875 KB  
Review
Extended Reality as a Medium: Literature Review and Development of a Conceptual Model Based on the Identification of Technological, Narrative and Spatial Components of Immersive and Interactive Media
by Jose Luis Rubio Tamayo, Mary-Anahí Serna-Bernal, Valeria Levratto and Hernando Gómez Gómez
J 2026, 9(1), 9; https://doi.org/10.3390/j9010009 - 9 Mar 2026
Viewed by 310
Abstract
Information and communication technologies have evolved exponentially in recent years, significantly expanding their diversification and applicability. Extended reality (XR) technologies—including virtual, augmented, and mixed reality—have solidified the conceptualization of space and function. XR represents the definitive medium due to its close analogy with [...] Read more.
Information and communication technologies have evolved exponentially in recent years, significantly expanding their diversification and applicability. Extended reality (XR) technologies—including virtual, augmented, and mixed reality—have solidified the conceptualization of space and function. XR represents the definitive medium due to its close analogy with physical reality, enabling an unprecedented degree of interaction compared to previous media. By leveraging spatial and temporal factors, XR allows for the emergence of suprainteractions—interactions that do not occur naturally in physical environments. The integration of AI into these workflows heralds a new era, reevaluating technological utility as the current landscape poses challenges for identifying use cases and dead zones within the XR field. This article proposes a model, derived from a narrative literature review, that identifies key features in technological applications and the evolution of XR. Based on concepts such as representativeness, realism, system performance, and spatial narrative, the model designs a framework for the development of diverse functions within the XR domain. Full article
(This article belongs to the Special Issue Feature Papers of J—Multidisciplinary Scientific Journal in 2026)
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