Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (200,843)

Search Parameters:
Keywords = humanized

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
13 pages, 2686 KB  
Article
The Use of Si(C,N) Layers as Barrier Coatings in Dentistry
by Zofia Kula, Grzegorz Szparaga, Małgorzata Siatkowska and Leszek Klimek
Materials 2026, 19(12), 2568; https://doi.org/10.3390/ma19122568 (registering DOI) - 14 Jun 2026
Abstract
The corrosion phenomenon can cause negative allergic and cytotoxic reactions in the human body, inflammation, and, in the future, the development of cancer. Their sources may be corrosion products, metal ions released during the corrosion process, and galvanic currents that penetrate the surrounding [...] Read more.
The corrosion phenomenon can cause negative allergic and cytotoxic reactions in the human body, inflammation, and, in the future, the development of cancer. Their sources may be corrosion products, metal ions released during the corrosion process, and galvanic currents that penetrate the surrounding tissues. In order to avoid the negative effects of using metal alloys, their surface can be modified by applying coatings. The aim of this study is to determine and compare the amount of ion release from Si(C,N) coatings with varying carbon and nitrogen contents, as well as from the uncoated substrate alloy (Group A) in various aqueous environments. Si(C,N) coatings were applied to the surface of the prosthetic alloy. Si(C,N) coatings with different carbon and nitrogen contents were deposited using the reactive magnetron sputtering (RMS) method. The research included determining the amount of ions released into the environment: distilled water, 0.9% NaCl and artificial saliva. Assessments were made at 10, 30 and 90 days. All tested Si(C,N) coatings significantly limit the amount of metal ions in the surrounding medium. Due to the lack of statistically significant differences in the number of ions released by individual coatings, when selecting them, other properties related to the operating conditions of the elements should also be taken into account. Full article
(This article belongs to the Special Issue Functional and Bioactive Materials for Dental Applications)
Show Figures

Figure 1

9 pages, 1022 KB  
Article
Relative Abundance and Anthropogenic Disturbance Effects on the Burrowing Owl (Athene cunicularia) in Grasslands of the Southern Chihuahuan Desert, Mexico
by María Paola Ovalle-Prado, Alina Olalla Kerstupp, Mayra A. Gómez Govea, Antonio Guzman Velasco, Jose I. Gonzalez Rojas and Gabriel Ruiz Aymá
Diversity 2026, 18(6), 363; https://doi.org/10.3390/d18060363 (registering DOI) - 14 Jun 2026
Abstract
Grassland ecosystems are among the most threatened habitats in North America, and their degradation has contributed to widespread population declines of grassland-dependent birds. The Burrowing Owl (Athene cunicularia) is a grassland specialist whose populations have shown sustained declines at a continental [...] Read more.
Grassland ecosystems are among the most threatened habitats in North America, and their degradation has contributed to widespread population declines of grassland-dependent birds. The Burrowing Owl (Athene cunicularia) is a grassland specialist whose populations have shown sustained declines at a continental scale; however, quantitative data on relative abundance remain limited in northern Mexico. We estimated a relative abundance index for the Burrowing Owl in the grasslands of the southern Chihuahuan Desert, Mexico, using vehicle-based line transects expressed as the number of individuals per linear kilometer (ind/km). Additionally, we evaluated the relationship between human disturbance and owl records using a standardized Human Disturbance Index (HDI) based on field indicators of grazing pressure and solid waste. A total of 18 transects (1 km each) yielded 83 detections, with a mean relative abundance of 4.61 ± 5.93 standard deviation (SD) ind/km. A Generalized Linear Model with a Negative Binomial distribution revealed a significant negative effect of the HDI on owl abundance (β = −1.27, z = −3.81, p = 0.0001; incidence rate ratio (IRR) = 0.28, 95% confidence interval (CI): 0.14–0.51). Our results provide a baseline abundance estimate for the Burrowing Owl in the southern Chihuahuan Desert and highlight the importance of habitat disturbance metrics to assess population status in fragmented and human-impacted grassland landscapes. Full article
(This article belongs to the Special Issue Conservation and Ecology of Raptors—3rd Edition)
Show Figures

Figure 1

23 pages, 1393 KB  
Review
Intensification of Extreme and Compound Hazards in Urban Areas Under Climate Change in Iran: A Scoping Review
by Niloofar Mohammadi and Raoof Mostafazadeh
Climate 2026, 14(6), 126; https://doi.org/10.3390/cli14060126 (registering DOI) - 13 Jun 2026
Abstract
Human-induced climate change has rendered urban areas highly vulnerable to extreme events such as heatwaves, droughts, and floods. This study conducts a scoping review of extreme and compound climate hazards in Iranian urban areas under global warming conditions. Mapping the available literature, 92 [...] Read more.
Human-induced climate change has rendered urban areas highly vulnerable to extreme events such as heatwaves, droughts, and floods. This study conducts a scoping review of extreme and compound climate hazards in Iranian urban areas under global warming conditions. Mapping the available literature, 92 authoritative scientific works published between 1999 and 2025 were analyzed. The review synthesizes evidence on the spatiotemporal patterns of heatwaves, drought, torrential rainfall, sea-level rise, and compound hazards across Iran. The results indicate that central, northwestern, eastern, and southern Iran experience the highest heatwave intensity and frequency, with short-duration heatwaves being more common than prolonged ones. Western Iran faces a high risk of torrential rainfall, but urbanization amplifies flood consequences by expanding impervious surfaces and accelerating surface runoff. Coastal areas show high vulnerability to compound flooding due to sea-level rise and storms. The review further reveals that Iran is experiencing hydroclimate whiplash (abrupt transitions between drought and flood) driven by global warming. The study concludes by presenting management suggestions and future research directions for integrated compound hazard management in Iran. Full article
Show Figures

Figure 1

20 pages, 2518 KB  
Article
Genotoxic Potential of Metodesnitazene and Etodesnitazene: Insights with and Without S9 Metabolic Activation
by Francesca Rombolà, Dalila Maurizzi, Alessia Silla, Cristiana Caliceti, Sabrine Bilel, Patrizia Hrelia, Marco Malaguti, Monia Lenzi and Matteo Marti
Int. J. Mol. Sci. 2026, 27(12), 5360; https://doi.org/10.3390/ijms27125360 (registering DOI) - 13 Jun 2026
Abstract
The ongoing emergence of New Psychoactive Substances represents a growing threat to public health, as newly synthesized compounds continuously enter the illicit drug market, evading standard detection methods and challenging regulatory frameworks. Among New Psychoactive Substances, nitazenes are potent non-fentanyl opioids associated with [...] Read more.
The ongoing emergence of New Psychoactive Substances represents a growing threat to public health, as newly synthesized compounds continuously enter the illicit drug market, evading standard detection methods and challenging regulatory frameworks. Among New Psychoactive Substances, nitazenes are potent non-fentanyl opioids associated with severe cases of intoxication. This study evaluated the genotoxic potential of metodesnitazene and etodesnitazene in the human TK6 cell line. Cells were exposed to increasing concentrations of studied compounds, with and without S9 metabolic activation system. Preliminary assessments and micronuclei frequency analyses were performed by flow cytometry in at least three independent experiments. Metodesnitazene induced an increase in micronuclei frequency starting from 12.5 μM (p < 0.05), whereas etodesnitazene induced an effect only at 50 μM. Metabolic activation increases micronuclei formation at higher concentrations of metodesnitazene 25 μM, but did not substantially affect the response to etodesnitazene. Both compounds also induced intracellular reactive oxygen species production, measured through a chemiluminescent-based bioassay, suggesting oxidative stress as a potential contributing mechanism. These findings highlight the need for compound-specific toxicological profiling to better anticipate the acute and long-term risks associated with nitazene consumption. Full article
(This article belongs to the Special Issue New Advances in Opioid Research)
Show Figures

Figure 1

19 pages, 9536 KB  
Article
Membrane Access and Orbital Localization Govern ABC Transporter Substrate Recognition
by Saad Harrizi, Imane Nait Irahal, Kaouthar El Birgui and Mostafa Kabine
Molecules 2026, 31(12), 2084; https://doi.org/10.3390/molecules31122084 (registering DOI) - 13 Jun 2026
Abstract
The ATP-binding cassette transport protein Pdr5p is known to play a role in multidrug resistance in Saccharomyces cerevisiae by effluxing structurally diverse xenobiotics; yet the physicochemical determinants of substrate recognition remain poorly defined. To address this, density functional theory (DFT) calculations at the [...] Read more.
The ATP-binding cassette transport protein Pdr5p is known to play a role in multidrug resistance in Saccharomyces cerevisiae by effluxing structurally diverse xenobiotics; yet the physicochemical determinants of substrate recognition remain poorly defined. To address this, density functional theory (DFT) calculations at the B3LYP-D3BJ/def2-SVP level were combined with machine learning to derive a predictive model of substrate recognition using a curated dataset of 66 compounds spanning 9 functional categories. A hybrid support vector machine (SVM) classifier achieved 96.3% accuracy (95% CI: 81.0–99.9%, Clopper–Pearson exact) in discriminating substrates from non-substrates under leave-one-out cross-validation. Feature importance analysis identified lipophilicity (LogP, F-score = 37.5) as the dominant descriptor, suggesting that membrane partitioning constitutes the initial recognition step. The HOMO–LUMO gap contributed secondarily (F-score = 12.4). Substrates were further distinguished by high frontier orbital focalization, with frontier orbital spread of 1.8–2.6%, compared to 4.18–7.22% for non-substrates. Notably, a model trained exclusively on Pdr5p data achieved 87% prediction accuracy when applied without retraining to the human P-glycoprotein (ABCB1) dataset, suggesting conserved physicochemical principles of substrate recognition across evolutionarily distant ABC transporters. These findings provide a quantum chemical framework for understanding and potentially predicting MDR transporter substrate specificity. Full article
(This article belongs to the Section Computational and Theoretical Chemistry)
Show Figures

Figure 1

30 pages, 2037 KB  
Article
Actions and Methods for Achieving Industry 5.0-Driven Lean Manufacturing Transformation: A Strategic Roadmap
by Chun-Yu Wu, De-Xuan Zhu, Ming-Qiang Huang, Chih-Hung Hsu and Zhi-Jie Jia
Sustainability 2026, 18(12), 6103; https://doi.org/10.3390/su18126103 (registering DOI) - 13 Jun 2026
Abstract
Although Industry 4.0 has successfully advanced lean manufacturing through digitalization and automation, its primary focus on operational efficiency leaves emerging strategic priorities—human-centricity, sustainability, and resilience—outside its original scope. The Industry 5.0 agenda explicitly elevates these three pillars, creating new potential to drive lean [...] Read more.
Although Industry 4.0 has successfully advanced lean manufacturing through digitalization and automation, its primary focus on operational efficiency leaves emerging strategic priorities—human-centricity, sustainability, and resilience—outside its original scope. The Industry 5.0 agenda explicitly elevates these three pillars, creating new potential to drive lean transformation. However, how Industry 5.0 can systematically drive lean manufacturing transformation remains unclear. To address this knowledge gap, this study develops a strategic roadmap. First, a content-centric literature review identifies 12 key enablers for Industry 5.0-driven lean manufacturing. Second, Fuzzy Interpretive Structural Modeling (FISM) and expert opinions determine hierarchical relationships among the enablers and construct a multi-level structural model. Third, Matrices d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis evaluates the driving power and dependence of each enabler. Finally, a strategic roadmap is developed based on expert synthesis. The findings reveal that “government regulation and incentives” and “employee skill training” are the most critical enablers, while “value chain design and improvement” and “resource input and return” are the most complex and difficult to develop. The roadmap highlights the mediating role of “stakeholder participation and collaboration.” Importantly, the roadmap addresses potential tensions in lean implementation—such as the carbon footprint trade-off of frequent small-batch transport—by embedding sustainability assessment into value chain design and technology governance. This study offers a practical guide for manufacturers to prioritize investments and sequence actions toward lean transformation in the Industry 5.0 era. The main contribution of this study is a strategic roadmap that explains how Industry 5.0 can enable lean manufacturing transformation through prioritized actions and hierarchical enablers, while reconciling efficiency with sustainability and resilience goals. This roadmap offers a practical guide for manufacturers and policymakers to sequence investments and actions toward lean transformation in the Industry 5.0 era. Full article
Show Figures

Figure 1

18 pages, 579 KB  
Review
The Vitamin Profile of Edible and Medicinal Mushrooms: Bioactive Potential, Preventive Health Significance, and Applied Perspectives
by Katarzyna Sułkowska-Ziaja, Katarzyna Kała, Mónika Fekete, Virág Zábó, Michał Kolisz, Jan Lazur and Bożena Muszyńska
Appl. Sci. 2026, 16(12), 6012; https://doi.org/10.3390/app16126012 (registering DOI) - 13 Jun 2026
Abstract
Edible and medicinal mushrooms are widely studied for their bioactive compounds, yet their role as sources of essential vitamins remains inadequately defined and often overestimated. This review provides a critical assessment of vitamin composition in edible and medicinal mushrooms, with an emphasis on [...] Read more.
Edible and medicinal mushrooms are widely studied for their bioactive compounds, yet their role as sources of essential vitamins remains inadequately defined and often overestimated. This review provides a critical assessment of vitamin composition in edible and medicinal mushrooms, with an emphasis on B-group vitamins and vitamin D2, focusing on variability, bioavailability, and limitations for nutritional applications. Current evidence indicates that mushrooms can contribute to the intake of selected B vitamins, particularly riboflavin (B2) and thiamine (B1), at levels comparable to common plant foods. However, their relevance as a source of vitamin B12 is highly uncertain due to pronounced compositional variability, the frequent occurrence of inactive corrinoid analogues, and limited evidence of physiological bioavailability. In contrast, vitamin D2 represents a distinctive and technologically controllable feature of mushrooms, formed via the ultraviolet-induced conversion of ergosterol. Post-harvest UV exposure can substantially enhance vitamin D2 content, enabling targeted biofortification strategies. Nevertheless, the nutritional significance of mushroom-derived vitamins is constrained by inconsistencies in reported concentrations, lack of standardized analytical methodologies, and insufficient clinical evidence. Overall, edible and medicinal mushrooms should not be regarded as universal natural sources of vitamins; rather, their nutritional relevance depends on species, cultivation conditions, post-harvest processing, analytical verification, and, particularly in the case of vitamin D2, controlled UV-induced biofortification. Future research should prioritize standardized analytical approaches and well-designed human studies to support evidence-based nutritional applications. Full article
(This article belongs to the Special Issue Bioactive Natural Compounds: From Discovery to Applications)
19 pages, 730 KB  
Article
How Human–AI Interaction Impacts Sustainable Learning Resilience: Evidence from Western China’s Underdeveloped Higher Education
by Shengnan Ning, Dexiang Yang, Xiaoling He and Xiaowen Jie
Sustainability 2026, 18(12), 6102; https://doi.org/10.3390/su18126102 (registering DOI) - 13 Jun 2026
Abstract
Despite the promise of human–AI interaction in enhancing learning outcomes, its contribution to fostering sustainable learning resilience, particularly in underdeveloped regions, remains insufficiently examined. Prior research has inadequately investigated the psychological processes underlying the relationship between human–AI interaction and the development of resilience. [...] Read more.
Despite the promise of human–AI interaction in enhancing learning outcomes, its contribution to fostering sustainable learning resilience, particularly in underdeveloped regions, remains insufficiently examined. Prior research has inadequately investigated the psychological processes underlying the relationship between human–AI interaction and the development of resilience. To address these gaps, this study adopts the Cognition–Affect–Conation (CAC) framework to explore how task–technology fit and system quality collectively shape the dynamics of sustainable learning resilience, mediated by perceived value and trust. Survey responses were collected from 617 students across 34 universities in Western China, using both online and offline methods. The findings indicate that task–technology fit and system quality substantially influence students’ perceptions of value and trust in human–AI interactions, which in turn strengthen their sustainable learning resilience. Additionally, these mechanisms exert a significant positive influence on different academic disciplines. This research advances the understanding of how human–AI interactions facilitate sustainable learning resilience and provides actionable insights for implementing equitable technology solutions in higher education, particularly in resource-constrained environments. Full article
(This article belongs to the Section Sustainable Education and Approaches)
11 pages, 4212 KB  
Article
Pimozide Inhibits CatSper Activity, Impairs Hyperactivation and the Acrosome Reaction in Human Spermatozoa
by Jorge Arturo Torres Juárez, Ana Gabriela Hernández Puga, Esperanza Mata Martínez, Claudia Lydia Treviño Santa Cruz and Ana Alicia Sánchez Tusie
Int. J. Mol. Sci. 2026, 27(12), 5357; https://doi.org/10.3390/ijms27125357 (registering DOI) - 13 Jun 2026
Abstract
Health, social, and ethical considerations highlight the need for new male contraceptives. Pimozide is an FDA approved drug known to block T-type calcium channels and which shares structural similarities with mibefradil, a proven antagonist of the CatSper channel. In this study, we examined [...] Read more.
Health, social, and ethical considerations highlight the need for new male contraceptives. Pimozide is an FDA approved drug known to block T-type calcium channels and which shares structural similarities with mibefradil, a proven antagonist of the CatSper channel. In this study, we examined the effect of pimozide on CatSper, a key target for non-hormonal male contraception. Molecular docking and molecular dynamics simulations were carried out to assess how pimozide binds within the channel pore, and binding energies were estimated using MM-GBSA. To determine its impact on sperm function, we evaluated hyperactivation, the acrosome reaction, and CatSper activity. Our computational analyses indicate that pimozide functions as a pore blocker of the CatSper channel. Experimental findings further support this, showing that pimozide inhibits CatSper activity, and impairs hyperactivation and the acrosome reaction in human spermatozoa. Overall, these results identify pimozide as a novel CatSper antagonist and propose a binding mode, offering a basis for the rational design of reversible, non-hormonal male contraceptives that target the CatSper channel. Full article
(This article belongs to the Special Issue Molecular Insights into Reproductive Biology and Related Diseases)
Show Figures

Figure 1

17 pages, 1100 KB  
Article
CD44–Hyaluronan-Dependent Monocyte Rolling
by Marcus Hubbe and Robert H. Eibl
Int. J. Mol. Sci. 2026, 27(12), 5358; https://doi.org/10.3390/ijms27125358 (registering DOI) - 13 Jun 2026
Abstract
Leukocyte recruitment from blood into tissues involves sequential adhesive steps, including rolling and integrin-dependent arrest. VLA-4 can support firm adhesion and, in some settings, rolling interactions, whereas CD44–hyaluronan interactions have also been implicated in leukocyte rolling. Here, we used adhesion assays and parallel-plate [...] Read more.
Leukocyte recruitment from blood into tissues involves sequential adhesive steps, including rolling and integrin-dependent arrest. VLA-4 can support firm adhesion and, in some settings, rolling interactions, whereas CD44–hyaluronan interactions have also been implicated in leukocyte rolling. Here, we used adhesion assays and parallel-plate flow chamber experiments to analyze CD44–hyaluronan-dependent monocyte interactions on ECV304 monolayers and to compare them with α4-integrin-sensitive adhesion on endothelial monolayers. WEHI 78/24 monocytoid cells interacted with ECV304 monolayers in a CD44- and hyaluronan-dependent manner, whereas adhesion to HMEC-1 and bEnd.3 monolayers was sensitive to α4-integrin blockade. Blocking CD44, adding soluble hyaluronan, or treating ECV304 monolayers with hyaluronidase reduced adhesion and rolling. Mixed primary human monocyte preparations also showed CD44-dependent adhesion and rolling on ECV304 monolayers. ECV304 cells are interpreted here not as endothelial cells, but as T24-derived, hyaluronidase-sensitive cellular monolayers useful for functional analysis of CD44–hyaluronan-dependent interactions. These findings support a substrate-dependent functional hierarchy in which CD44–hyaluronan-dependent monocyte rolling becomes detectable when α4-integrin-dependent adhesion is not dominant, while emphasizing the cell-model-based nature of the assay. Full article
(This article belongs to the Section Molecular Immunology)
14 pages, 631 KB  
Article
General Soil Properties Modulate Bacterial Community Tolerance to Clarithromycin in Laboratory-Spiked Agricultural Soils
by Laura Rodríguez-González, Manuel Arias-Estévez, Montserrat Díaz-Raviña, Juan José Villaverde, David Fernández-Calviño and Vanesa Santás-Miguel
Agriculture 2026, 16(12), 1312; https://doi.org/10.3390/agriculture16121312 (registering DOI) - 13 Jun 2026
Abstract
Clarithromycin is a widely prescribed macrolide antibiotic that can enter soils using sewage treatment plant effluents, where it is frequently detected. Because it could exert selective pressure on soil microbes, this study examined whether bacterial communities in 12 agricultural soils developed tolerance to [...] Read more.
Clarithromycin is a widely prescribed macrolide antibiotic that can enter soils using sewage treatment plant effluents, where it is frequently detected. Because it could exert selective pressure on soil microbes, this study examined whether bacterial communities in 12 agricultural soils developed tolerance to clarithromycin after 42 days of exposure to different clarithromycin concentrations (7.8 mg kg−1–2000 mg kg−1). Results showed that tolerance increased in a clear dose-dependent manner and was significantly higher than in control soils at concentrations of 31.3 mg kg−1 and above. Soil characteristics also shaped the response. At lower clarithromycin doses, tolerance was restricted in those soils with higher values of eCEC, clay content, organic carbon, and C/N ratio. At higher doses, tolerance increased with pH, likely due to increased clarithromycin bioavailability. This study provides evidence of the impact of clarithromycin on soil microbiota and suggests that contamination by this antibiotic may promote the development of bacterial tolerance. Future studies should be carried out to further clarify the factors that influence the development of tolerance and also to determine the possible spread of this resistance in the environment. Full article
(This article belongs to the Section Ecosystem, Environment and Climate Change in Agriculture)
Show Figures

Graphical abstract

25 pages, 747 KB  
Article
Towards Heritage World Models
by George Pavlidis, Vasileios Sevetlidis and Vasileios Arampatzakis
Heritage 2026, 9(6), 233; https://doi.org/10.3390/heritage9060233 (registering DOI) - 13 Jun 2026
Abstract
Digital twins have become a central paradigm for cultural heritage documentation, monitoring, and preventive preservation. Yet, when cultural heritage systems promise prediction, simulation, intervention planning, and decision support, a more explicit account is needed of the computational commitments behind such claims. This position [...] Read more.
Digital twins have become a central paradigm for cultural heritage documentation, monitoring, and preventive preservation. Yet, when cultural heritage systems promise prediction, simulation, intervention planning, and decision support, a more explicit account is needed of the computational commitments behind such claims. This position paper proposes the notion of the heritage world model as a conceptual and architectural abstraction that uses the semantic digital twin as its representational layer and extends it toward prediction, memory, uncertainty-aware reasoning, and intervention evaluation. We define a heritage world model as a structured, temporally updated, semantically grounded, and action-aware model of a heritage asset and its preservation environment, capable of integrating observations, estimating latent risk states, predicting plausible future trajectories, and evaluating interventions under uncertainty. The paper does not present a validated deployed system. Rather, it clarifies the architectural conditions under which a decision-support digital twin infrastructure could support the kind of world-model-like preservation system proposed here. It further argues that such a model becomes operationally meaningful only when it includes a human-supervised controller layer that maps semantic state, predicted risk trajectories, uncertainty, memory, and institutional constraints into preservation-relevant actions, alerts, monitoring adaptations, or requests for expert review. Sensor data, remote sensing, computational models, risk assessments, policies, and conservation actions are interpreted as possible observational, dynamic, and intervention layers of a heritage world model. The paper reviews adjacent work in heritage digital twins, semantic and reactive ontologies, risk-aware preservation, agentic AI, and modern AI world models, and proposes a research agenda for moving toward predictive, memory-bearing, and intervention-aware preservation intelligence. Full article
Show Figures

Figure 1

9 pages, 2398 KB  
Communication
A Rechargeable Zinc–Copper Voltaic Battery Built from Cost-Effective Electrodes and Electrolytes
by Jose Fernando Florez Gomez, Songyang Chang, Irfan Ullah, Juan C. Velez Reyes, Lisandro Cunci, Gerardo Morell and Xianyong Wu
Batteries 2026, 12(6), 215; https://doi.org/10.3390/batteries12060215 (registering DOI) - 13 Jun 2026
Abstract
The zinc–copper (Zn-Cu) voltaic battery is the first battery made in human history, but the Cu2+ dissolution issue leads to the reaction’s irreversibility. To tackle this challenge, solid-state electrolytes, ion exchange membranes, and functional electrolytes have been proposed to mitigate the Cu [...] Read more.
The zinc–copper (Zn-Cu) voltaic battery is the first battery made in human history, but the Cu2+ dissolution issue leads to the reaction’s irreversibility. To tackle this challenge, solid-state electrolytes, ion exchange membranes, and functional electrolytes have been proposed to mitigate the Cu2+ dissolution; however, these approaches incur limitations like cell complexity, high cost, and anode corrosion. Herein, we develop a simple yet effective strategy to mitigate Cu2+ dissolution and build a rechargeable voltaic battery from cost-effective materials, including commercially available micro-copper powders and non-corrosive zinc acetate electrolyte. Importantly, the near-neutral Zn(Ac)2 electrolyte provides some amounts of hydroxide and facilitates the Cu2O/Cu solid–solid conversion reaction, thereby inhibiting the generation of soluble Cu2+ ions. As a result, the Zn-Cu battery exhibits a reversible capacity of ~130 mAh g−1, a feasible voltage of 0.87 V, and a stable cycling life over 100 cycles. Our work provides a feasible strategy for developing rechargeable and cost-effective Zn-Cu batteries. Full article
Show Figures

Figure 1

29 pages, 28758 KB  
Article
Spatio-Temporal Feature Enhancement for Recognizing Strongly Correlated Sequential Actions in Aircraft Assembly
by Jiaming Shi, Xiang Huang, Guoyi Hou, Chengda Guo, Qingxue Wang and Yumin Chen
Sensors 2026, 26(12), 3781; https://doi.org/10.3390/s26123781 (registering DOI) - 13 Jun 2026
Abstract
The positioning and clamping process in aircraft assembly exhibits pronounced long-term temporal correlations and intense human–machine interactions. Consequently, assembly quality depends heavily on operator compliance and consistency. Capturing long-term, strongly correlated features in complex industrial environments remains a significant challenge. To overcome this, [...] Read more.
The positioning and clamping process in aircraft assembly exhibits pronounced long-term temporal correlations and intense human–machine interactions. Consequently, assembly quality depends heavily on operator compliance and consistency. Capturing long-term, strongly correlated features in complex industrial environments remains a significant challenge. To overcome this, this study proposes a Long-Term Strongly Associated Action Recognition Network (LTSA-Net) tailored for aircraft assembly positioning and clamping tasks. Based on the C3D backbone, the model first incorporates the SimAM attention mechanism and BN modules to significantly enhance focus on critical spatiotemporal features. To address the challenge of capturing long-term temporal dependencies, LTSFEM is designed to extract global temporal information accurately. Furthermore, to balance structural lightweight design with real-time inference requirements, the CWSTB module is integrated to achieve substantial parameter compression. In addition, a dedicated aircraft assembly positioning and clamping dataset was constructed, and a robust training framework was established using the AdamW optimizer and Mixup data augmentation. Experimental results demonstrate that LTSA-Net achieves a recognition accuracy of 98.82% on the LTSA-Dataset, with a per-frame inference time of 42 ms, successfully meeting the dual requirements of high precision and real-time performance in industrial scenarios, and providing a practical technical solution for intelligent monitoring of aircraft assembly processes. Full article
(This article belongs to the Section Industrial Sensors)
Show Figures

Figure 1

41 pages, 7538 KB  
Review
Focus on the Interactive Cooperation Among Mechanotransduction and Biochemical Processes in Pancreatic Ductal Adenocarcinoma Development and Possible Adjuvant Role of Retinoic Acid for Its Treatment: A Narrative Review
by Sirio Fiorino, Wandong Hong, Dario de Biase, Laura Mastrangelo, Francesca Maccioni, Alfonso Grottesi, Francesca Ambrosi, Luca Pincigher, Federico Lari, Christian Bergamini, Elio Jovine and Maddalena Zippi
Cancers 2026, 18(12), 1932; https://doi.org/10.3390/cancers18121932 (registering DOI) - 13 Jun 2026
Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) belongs to the group of killer human cancers. Its ferocity is sustained by an unusual mix of genetic changes—primarily in KRAS and TP53—a hypoxic as well as desmoplastic tumor microenvironment, plus metabolic and redox adaptations that allow [...] Read more.
Background: Pancreatic ductal adenocarcinoma (PDAC) belongs to the group of killer human cancers. Its ferocity is sustained by an unusual mix of genetic changes—primarily in KRAS and TP53—a hypoxic as well as desmoplastic tumor microenvironment, plus metabolic and redox adaptations that allow tumor life amidst intense stress situations. Content: This paper will discuss the molecular networks of wild-type and mutant p53, wild-type and mutant KRAS, PUMA, TIGAR, PRMT5, NRF2, oxygen tension, reactive oxygen species (ROS), and oxidative stress pathways that contribute to pancreatic cancer. It will describe how these factors help set the tumor’s redox state and control apoptosis and therapeutic resistance. This shall therefore specifically discuss what role oxygen gradients play in pancreatic tissues, as well as retinoic acid, together with redox-targeted therapies that are specific to vulnerabilities within such types of networks. Summary and Outlook: An understanding of the crosstalk of these molecular pathways will be critical in designing rational therapeutic strategies. Genetics, metabolism, and microenvironmental integration may open a path toward combinatorial therapies that would resensitize PDAC to apoptosis and overcome resistance to current treatments. Full article
Show Figures

Figure 1

Back to TopTop