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The journal retracts the article titled “Energy-Efficient Distributed Welding Shop Scheduling Based on Multi-Objective Seagull Algorithm” [...] Full article

2 pages, 129 KB

Open AccessRetraction

RETRACTED: Ahmad et al. Lanthanum-Zinc Binary Oxide Nanocomposite with Promising Heterogeneous Catalysis Performance for the Active Conversion of 4-Nitrophenol into 4-Aminophenol. Coatings 2021, 11, 537

by Ikram Ahmad, Muhammad Asghar Jamal, Miara Iftikhar, Awais Ahmad, Shahid Hussain, Humaira Asghar, Muhammad Saeed, Ammar Bin Yousaf, Rama Rao Karri, Nada Sulaymaniyah Al-kadhi, Mohamed Ouladsmane, Ayman Ghfar and Safia Khan

Coatings 2026, 16(4), 502; https://doi.org/10.3390/coatings16040502 (registering DOI) - 21 Apr 2026

Abstract

The journal retracts the article titled “Lanthanum-Zinc Binary Oxide Nanocomposite with Promising Heterogeneous Catalysis Performance for the Active Conversion of 4-Nitrophenol into 4-Aminophenol” [...] Full article

15 pages, 264 KB

Open AccessArticle

Medical Practitioners’ Acceptance and Use of AI-Based Clinical Decision Support Systems in Western China: A Mixed-Methods Study

by Runping Zhu, Zunbin Huo, Yue Li, Banlinxin Gao and Richard Krever

Healthcare 2026, 14(8), 1096; https://doi.org/10.3390/healthcare14081096 - 20 Apr 2026

Abstract

Background: Doctors have made increasing use of artificial intelligence-based clinical decision support systems in recent years in eastern China, but far less so in poorer western China, where hospitals with less access to specialized expert services might be expected to make greater use of such aids. Methods: This study of the reasons for lower uptake in the western hospitals focused on a tertiary referral hospital in the capital city of the poorest province in China. Drawing on UTAUT (unified theory of acceptance and use of technology) theoretical literature and previous studies, seven variables most likely to explain the limited adoption of the technology were identified and tested by means of an explanatory sequential mixed-methods study. Results: Initial bivariate tests revealed no significant differences across variables; however, multivariate logistic regression identified social influence as the sole statistically significant predictor of adoption willingness. Follow-up structured interviews revealed a surprisingly low awareness of the technology by medical personnel, with very limited deployment. Conclusions: The failure to adopt AI diagnosis technology is attributable not to the variables usually cited as factors inhibiting technology adoption but rather the failure of hospital and medical faculty administrators to acquire the technology and train doctors and medical students. Full article

(This article belongs to the Topic Artificial Intelligence in Public Health: Current Trends and Future Possibilities, 2nd Edition)

11 pages, 1214 KB

Open AccessArticle

The Digital Sunset—Imagine Traditional Media Narratives About the Collapse of the Internet

by Giacomo Buoncompagni

Societies 2026, 16(4), 130; https://doi.org/10.3390/soc16040130 - 20 Apr 2026

Abstract

This study explored the behaviour of traditional media in the event of an extreme situation: the global collapse of the internet, using a qualitative and creative methodology. The objective was not to make a technological prediction or engage in dystopian speculation, but rather to conduct a sociological experiment that interrogates the cultural, technical and symbolic presuppositions of contemporary communication. Using imagination as the primary methodological tool allowed a ‘potential’ case study to be constructed, while the use of artificial intelligence as an imaginative source and cognitive mediator enabled creativity and analytical rigour to be combined, producing a research space that bridges sociology, media science, and socio-technical studies (STS). The results demonstrate that, without the internet, analogue media emerge as essential social infrastructures, restoring journalism to its original purpose of facilitating human connections and collective narratives. Full article

(This article belongs to the Special Issue Societal Challenges, Opportunities and Achievement)

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1 pages, 124 KB

Open AccessRetraction

RETRACTED: Raees et al. Synthesis and Characterization of CeO₂/CuO Nanocomposites for Photocatalytic Degradation of Methylene Blue in Visible Light. Coatings 2021, 11, 305

by Alia Raees, Muhammad Asghar Jamal, Ikram Ahmed, Mika Silanpaa and Tahani Saad Algarni

Coatings 2026, 16(4), 497; https://doi.org/10.3390/coatings16040497 - 20 Apr 2026

Abstract

The Journal retracts the article “Facile Synthesis and Characterization of CeO₂/CuO Nanocomposites for Photocatalytical Degradation of Methylene Blue under Exposure of Visible Light” [...] Full article

2 pages, 178 KB

Open AccessRetraction

RETRACTED: Khalil-ur-Rehman et al. Impact of Substantive Staging and Communicative Staging of Sustainable Servicescape on Behavioral Intentions of Hotel Customers through Overall Perceived Image: A Case of Boutique Hotels. Int. J. Environ. Res. Public Health 2021, 18, 9123

by Khalil-ur-Rehman, Mohammad Adnan, Naveed Ahmad, Miklas Scholz, Muhammad Khalique, Rana Tahir Naveed and Heesup Han

Int. J. Environ. Res. Public Health 2026, 23(4), 533; https://doi.org/10.3390/ijerph23040533 - 20 Apr 2026

Abstract

The journal retracts the article titled “Impact of Substantive Staging and Communicative Staging of Sustainable Servicescape on Behavioral Intentions of Hotel Customers through Overall Perceived Image: A Case of Boutique Hotels” [...] Full article

1 pages, 122 KB

Open AccessExpression of Concern

Expression of Concern: Dellino et al. Effects of Oral Supplementation with Myo-Inositol and D-Chiro-Inositol on Ovarian Functions in Female Long-Term Survivors of Lymphoma: Results from a Prospective Case–Control Analysis. J. Pers. Med. 2022, 12, 1536

by Journal of Personalized Medicine Editorial Office

J. Pers. Med. 2026, 16(4), 227; https://doi.org/10.3390/jpm16040227 - 20 Apr 2026

Abstract

With this notice, the Journal of Personalized Medicine Editorial Office and Editorial Board wishes to alert readers to concerns related to this article [...] Full article

5 pages, 181 KB

Open AccessEditorial

2024 and 2025 Feature Papers from Future Internet’s Editorial Board Members

by Gianluigi Ferrari

Future Internet 2026, 18(4), 217; https://doi.org/10.3390/fi18040217 - 19 Apr 2026

Abstract

As indicated on the journal’s website, Future Internet fosters contributions to the future Internet ecosystem, which, in turn, is expected to lead to significant improvement in well-being in all spheres of human life (private, public, professional) [...] Full article

(This article belongs to the Special Issue 2024 and 2025 Feature Papers from Future Internet’s Editorial Board Members)

30 pages, 990 KB

Open AccessReview

Surrogate-Based EM Design of RF and Microwave Components: A Systematic Review of Workflow Roles, Inverse Design, Multifidelity, and Active Learning

by Maria Prousali and Stelios Tsitsos

Sensors 2026, 26(8), 2504; https://doi.org/10.3390/s26082504 - 18 Apr 2026

Viewed by 57

Abstract

Surrogate models have been increasingly used to reduce the computational cost of electromagnetic (EM) design in RF and microwave components. However, component types, surrogate model families, and design workflows vary substantially across the literature. This systematic review provides a structured synthesis of surrogate-assisted EM design and optimization for RF and microwave applications. A Scopus-based screening process was employed to identify 180 journal articles published between 2012 and February 2026. After eligibility assessment, 126 studies were included in the final review corpus, whereas 54 were excluded. Six previous review articles were used separately for contextual positioning. The studies included were classified according to component category, surrogate model family, surrogate usage mode, inverse-design approach, multifidelity integration, active-learning adoption, and workflow function. The results showed that antennas and filters dominate the literature, whereas the Gaussian process or Kriging models and neural networks are the most frequent surrogate families. Optimization-based inverse design is the most commonly used, whereas multifidelity and active learning are less common. Overall, the included literature indicates that surrogate-assisted design is widely represented in RF and microwave design studies. However, no study in the included literature corpus has implemented a unified workflow that combines surrogate modeling, inverse design, multifidelity interaction, and active learning. Full article

(This article belongs to the Special Issue Feature Papers in Communications Section 2025–2026)

43 pages, 3418 KB

Open AccessSystematic Review

IEC 61850 GOOSE: A Systematic Literature Review on the State of the Art and Current Applications

by Arthur Kniphoff da Cruz, Ana Clara Hackenhaar Kellermann, Ingridy Caroliny da Silva, Jaine Mercia Fernandes de Oliveira, Marcia Elena Jochims Kniphoff da Cruz and Lorenz Däubler

Automation 2026, 7(2), 62; https://doi.org/10.3390/automation7020062 - 17 Apr 2026

Viewed by 72

Abstract

To develop secure, fast, and interoperable smart substations, it is vital to understand the current situation and potential future directions of the technologies involved. This study presents the evolution and state of the art of the Generic Object Oriented Substation Event (GOOSE) communication protocol, defined by the International Electrotechnical Commission (IEC) 61850 standard. A Systematic Literature Review (SLR) was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. This included journal articles published from 2004 to 2025 and conference papers from 2020 to 2025, written in English within Engineering. Only studies primarily focusing on GOOSE, citing it at least ten times, and indexed in the Scopus, IEEE Xplore, and Web of Science databases were included. The quantitative analysis used SciMAT software, complemented by a qualitative analysis. Due to the bibliometric and thematic nature of this review, potential biases were considered at the review level rather than by applying a formal study-level risk-of-bias tool. The final analysis comprised 82 journal articles and 84 conference papers. The results offer a comprehensive mapping of GOOSE research evolution, identify nine main challenges and limitations from the last 22 years, and highlight current research directions. The literature reveals methodological heterogeneity, a predominance of simulation-based approaches, and limited large-scale empirical validation. Full article

(This article belongs to the Special Issue Substation Automation, Protection and Control Based on IEC 61850)

30 pages, 1453 KB

Open AccessSystematic Review

Insights into the Link Between Sustainability Disclosure and Financial Performance: A Systematic Review and Meta-Analytic Approach

by Valentin Burcă, Oana Bogdan, Teodor Cilan, Cristina Nicolaescu, Robert Almași, Melinda Luca and Luminița Mazuru

Sustainability 2026, 18(8), 4019; https://doi.org/10.3390/su18084019 - 17 Apr 2026

Viewed by 136

Abstract

Recent global events have slowed progress toward achieving the Sustainable Development Goals (SDGs), making robust sustainability reporting (SR) systems critical for monitoring and corrective actions. While research on the link between corporate sustainability performance (CSP) and corporate financial performance (CFP) is extensive, the specific role of sustainability reporting as a communication channel remains insufficiently explored. Therefore, the objective of this paper is to address this gap in the literature by assessing the relevance of sustainability reporting for modeling the relationship between CSP and CFP. In this study, a univariate meta-analysis based on a PRISMA screening framework was performed to assess the unidirectional relationship between SR and CFP, specifically investigating whether SR acts as a moderating or mediating factor in the CSP-CFP nexus. The analysis is limited to 19 high-quality articles published in top-tier accounting journals between 2014 and 2024 to minimize publication bias and ensure reliability. The meta-analysis reveals no statistically significant moderating effect of SR on CFP. Instead, the results confirm a significant mediating effect, particularly when considering the presence of sustainability reports rather than just their specific content. These findings suggest that SR serves as a vital catalyst for corporate communication, providing more positive effects in voluntary compared to mandatory disclosure settings. This paper has both theoretical and practical implications, which are mainly relevant to standard-setters for assessing the efforts of SR disclosure regulation, and is of fundamental importance to managers as it indicates that SR does not relate solely to the practice of conformity, but rather to essential channels of communication and value creation. Full article

(This article belongs to the Section Economic and Business Aspects of Sustainability)

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20 pages, 1866 KB

Open AccessArticle

Research Trends in the Geological Accumulation of Natural Gas Hydrates: A Bibliometric Analysis

by Qianlong Zhang, Wei Deng, Ming Su, Jinqiang Liang and Lei Lu

Geosciences 2026, 16(4), 161; https://doi.org/10.3390/geosciences16040161 - 17 Apr 2026

Viewed by 73

Abstract

Natural gas hydrate is a clean energy resource critical for global energy security and low-carbon transition. Understanding its geological accumulation mechanisms is essential for exploration and development. However, the current research on NGH geological accumulation lacks a systematic and quantitative analysis of its global research evolution, hotspots, and frontiers. To fill this gap, this study conducts a bibliometric analysis of 5891 articles (1999–2025) from the Web of Science Core Collection using CiteSpace and VOSviewer to map research trends, contributions, and frontiers. The results show that annual publications followed a three-stage trajectory: slow initiation, rapid growth, and stable development, with key boosts from production tests in Japan (2013) and China (2017). Marine and Petroleum Geology emerged as the most cited journal. China, the United States, and Germany lead research output, with the Chinese Academy of Sciences serving as the central hub (centrality: 0.46). Core researchers such as Jinqiang Liang have established foundational knowledge through highly cited studies on accumulation theory and resource–environment interactions. Research focus has shifted from early resource assessment to controlling factors, and recently toward production technologies and parameter optimization, highlighting a transition from basic to applied research with strong interdisciplinary integration. While bibliometrics reveals structural evolution and hotspots, limitations in data sources and analytical scope remain. Future efforts should integrate multi-source data and deepen content analysis to address unresolved challenges in NGH geological accumulation. Full article

(This article belongs to the Topic Big Data and AI for Geoscience)

27 pages, 3795 KB

Open AccessSystematic Review

Defects in Modular Building Construction: A Systematic Lifecycle Review and Implications for Sustainable Delivery

by Argaw Gurmu, Fatemeh Fallah Tafti, Anthony Mills and John Kite

Sustainability 2026, 18(8), 4000; https://doi.org/10.3390/su18084000 - 17 Apr 2026

Viewed by 109

Abstract

Despite its potential to enhance construction quality, efficiency, and sustainability, modular construction continues to experience defects that hinder its broader adoption. Understanding and mitigating defects is essential for maximising the sustainability benefits of modular construction by reducing material waste, minimising rework and improving lifecycle performance. Existing research remains fragmented, with limited synthesis integrating defects with their root causes across the project lifecycle. To address this gap, this study investigates defect types, lifecycle-based causes, and mitigation strategies in modular building projects through a PRISMA-guided systematic literature review of 61 peer-reviewed journal articles published between 2015 and 2025 and retrieved from Scopus and Web of Science. Six major defect categories were identified: geometric and dimensional; material and component; joint and connection integrity; envelope performance and durability; structural; and mechanical, electrical, and plumbing (MEP) defects, with geometric and dimensional defects emerging as the most prevalent, accounting for 26.7% of reported cases. Lifecycle root-cause mapping indicates that poor workmanship during on-site assembly is the dominant contributor, accounting for 44.1% of identified root causes, with manufacturing errors (26.8%) and design limitations (13.4%) acting as critical upstream sources. Mitigation strategies cluster into three groups: general recommendations (39% of reported strategies), mainly focusing on low-cost organisational measures such as logistics coordination and workforce training; structured risk-management frameworks (9.1%), including assembly sequencing and tolerance planning; and digital and data-driven technologies (51.9%), such as laser scanning, AI-based inspection, and digital twins, enabling proactive quality assurance across the lifecycle. The study proposes an integrated lifecycle–defect–mitigation framework to strengthen quality governance and advance sustainable modular delivery. Full article

(This article belongs to the Special Issue Sustainable Construction Management Practices and Productivity (2nd Edition))

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32 pages, 5970 KB

Open AccessSystematic Review

Reframing BIM and Digital Twins for Intelligent Built Environments

by Abdullahi Abdulrahman Muhudin, Md Shafiullah, Baqer Al-Ramadan, Mohammad Sharif Zami, Mohammad Tahir Zamani and Lazhari Herzallah

Smart Cities 2026, 9(4), 71; https://doi.org/10.3390/smartcities9040071 - 17 Apr 2026

Viewed by 267

Abstract

The integration of Building Information Modeling [BIM] and Digital Twins [DT] has emerged as a central driver of digital transformation in the architecture, engineering, and construction sector. Yet, its systemic impact remains constrained by conceptual fragmentation and uneven institutional adoption. This study synthesizes contemporary BIM–DT scalability and each to identify dominant technological and application dimensions, examine the governance conditions shaping scalability, and develop an analytical framework that advances understanding beyond technology-centered syntheses. A two-stage analytical design was employed, combining bibliometric keyword co-occurrence analysis of 1295 Scopus-indexed records with systematic qualitative synthesis of 56 peer-reviewed journal articles published between 2020 and 2025, following PRISMA guidelines. Six interrelated analytical dimensions characterize the current BIM–DT research landscape: BIM–DT integration advancements and applications; interoperability and visualization; safety enhancement; energy efficiency; data-driven decision making; and stakeholder collaboration. Across these dimensions, a persistent misalignment emerges between technological capability and organizational readiness, with deficiencies in standards, governance, and sociotechnical coordination constituting the principal barriers to large-scale deployment. The findings reframe BIM–DT convergence not as a discrete technological upgrade but as the emergence of a coordinated socio-technical information ecosystem spanning the full building lifecycle. By foregrounding governance conditions, data stewardship, and institutional coordination, this study extends understanding of how digital twins expand BIM from design coordination to operational governance and establishes a foundation for more systematic implementation of intelligent, resilient, and sustainable built-environment systems. Full article

(This article belongs to the Section Buildings in Smart Cities)

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19 pages, 1110 KB

Open AccessSystematic Review

Writing Abilities in Primary Progressive Aphasia: A Scoping Literature Review

by Valentina Esposito, Francesca Conca, Gaia C. Santi, Stefano F. Cappa and Eleonora Catricalà

Brain Sci. 2026, 16(4), 420; https://doi.org/10.3390/brainsci16040420 - 17 Apr 2026

Viewed by 81

Abstract

Background: Given the central role of writing and typing in contemporary communication, integrating writing assessments into clinical practice is crucial for improving the diagnosis and management of primary progressive aphasia (PPA). This scoping review summarizes evidence on writing abilities in PPA, examining task types, their strengths and limitations, the linguistic features of stimuli, and the influence of language differences. Methods: A literature search was conducted using the Google Scholar and PubMed databases. We included papers published in peer-reviewed journals and written in English that present data from at least one PPA subject and report a quantitative score relative to a writing task. Fifty-one studies were included (forty-seven behavioral; four with neuroimaging). Results: Overall, the literature is fragmented, with marked variability in task design and the control of psycholinguistic variables. Writing to dictation is the most frequently used task but fails to capture the full spectrum of writing impairments, whereas tasks tapping lexico-semantic, morpho-syntactic, and discourse-level abilities are rarely employed. At the syndromic description level, svPPA typically shows surface dysgraphia, nfvPPA presents phonological dysgraphia and agrammatic writing, and lvPPA displays mixed error profiles. Neuroimaging findings are highly heterogeneous. Conclusions: The review underscores the need for systematic, linguistically grounded approaches to writing assessments in PPA to enhance diagnostic precision and cross-linguistic comparability. Full article

(This article belongs to the Section Neurolinguistics)

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