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Search Results (28,408)

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21 pages, 4052 KB  
Article
P300 Spatiotemporal Prior-Based Transformer-CNN for Auxiliary Diagnosis of PTSD
by Lize Tan, Hao Fang, Peng Ding, Fan Wang, Yuanyuan Wei and Yunfa Fu
Brain Sci. 2025, 15(10), 1124; https://doi.org/10.3390/brainsci15101124 (registering DOI) - 19 Oct 2025
Abstract
Objectives: To address the challenges of subjectivity, misdiagnosis and underdiagnosis in post-traumatic stress disorder (PTSD), this study proposes an objective auxiliary diagnostic method based on P300 signals. Existing studies largely rely on conventional P300 features, lacking the systematic integration of event-related potential (ERP) [...] Read more.
Objectives: To address the challenges of subjectivity, misdiagnosis and underdiagnosis in post-traumatic stress disorder (PTSD), this study proposes an objective auxiliary diagnostic method based on P300 signals. Existing studies largely rely on conventional P300 features, lacking the systematic integration of event-related potential (ERP) priors and facing limitations in spatiotemporal feature modeling. Methods: Using common spatiotemporal pattern (CSTP) analysis and quantitative evaluation, we revealed significant spatiotemporal differences in P300 signals between PTSD patients and healthy controls. ERP prior information was then extracted and integrated into a hybrid architecture combining transformer encoders and a convolutional neural network (CNN), enabling joint modeling of long-range temporal dependencies and local spatial patterns. Results: The proposed P300 spatiotemporal transformer-CNN (P300-STTCNet) achieved a classification accuracy of 93.37% in distinguishing PTSD from healthy controls, markedly outperforming traditional approaches. Conclusions: Significant spatiotemporal differences in P300 signals exist between PTSD and healthy control groups. The P300-STTCNet model effectively captures PTSD-related spatiotemporal features, demonstrating strong potential for electroencephalogram-based objective auxiliary diagnosis. Full article
(This article belongs to the Special Issue Artificial Intelligence in Neurological Disorders)
26 pages, 12747 KB  
Article
The Response of Alpine Permafrost to Decadal Human Disturbance in the Context of Climate Warming
by Shuping Zhang, Ji Chen, Lijun Huo, Xinyang Li, Chengying Wu, Hucai Zhang and Qi Feng
Remote Sens. 2025, 17(20), 3482; https://doi.org/10.3390/rs17203482 (registering DOI) - 19 Oct 2025
Abstract
Alpine permafrost plays a vital role in regional hydrology and ecology. Alpine permafrost is highly sensitive to climate change and human disturbance. The Muri area, which is located in the headwaters of the Datong River, northeast of the Tibetan Plateau, has undergone decadal [...] Read more.
Alpine permafrost plays a vital role in regional hydrology and ecology. Alpine permafrost is highly sensitive to climate change and human disturbance. The Muri area, which is located in the headwaters of the Datong River, northeast of the Tibetan Plateau, has undergone decadal mining, and the permafrost stability there has attracted substantial concerns. In order to decipher how and to what extent the permafrost in the Muri area has responded to the decadal mining in the context of climate change, daily MODIS land surface temperatures (LSTs) acquired during 2000–2024 were downscaled to 30 m × 30 m. The active layer thickness (ALT)–ground thaw index (DDT) coefficient was derived from in situ ALT measurements. An annual ALT of 30 m × 30 m spatial resolution was subsequently estimated from the downscaled LST for the Muri area using the Stefan equation. Validation of the LST and ALT showed that the root of mean squared error (RMSE) and the mean absolute error (MAE) of the downscaled LST were 3.64 °C and −0.1 °C, respectively. The RMSE and MAE of the ALT estimated in this study were 0.5 m and −0.25 m, respectively. Spatiotemporal analysis of the downscaled LST and ALT found that (1) during 2000–2024, the downscaled LST and estimated ALT delineated the spatial extent and time of human disturbance to permafrost in the Muri area; (2) human disturbance (i.e., mining and replantation) caused ALT increase without significant spatial expansion; and (3) the semi-arid climate, rough terrain, thin root zone and gappy vertical structure beneath were the major controlling factors of ALT variations. ALT, estimated in this study with a high resolution and accuracy, filled the data gaps of this kind for the Muri area. The ALT variations depicted in this study provide references for understanding alpine permafrost evolution in other areas that have been subject to human disturbance and climate change. Full article
19 pages, 983 KB  
Article
Devising AI-Based Customer Engagement to Foster Positive Attitude Towards Green Purchase Intentions
by Saroj Kumar Sahoo, Juraj Fabus, Miriam Garbarova, Terezia Kvasnicova-Galovicova, Laxmikant Pattnaik and Sandhyarani Sahoo
Sustainability 2025, 17(20), 9282; https://doi.org/10.3390/su17209282 (registering DOI) - 19 Oct 2025
Abstract
This study conceptualizes how artificial intelligence (AI)-based customer engagement strategies can shape consumers’ green purchasing intentions, focusing on the theorized roles of attitude and perceived risk toward green products as articulated in prior literature. Building on contemporary research in sustainable marketing and consumer [...] Read more.
This study conceptualizes how artificial intelligence (AI)-based customer engagement strategies can shape consumers’ green purchasing intentions, focusing on the theorized roles of attitude and perceived risk toward green products as articulated in prior literature. Building on contemporary research in sustainable marketing and consumer psychology, the article proposes a conceptual framework in which AI-enabled engagement influences green purchase intention via attitudes, with perceived risk operating as a boundary condition that moderates these effects. To qualitatively substantiate the salience and practical relevance of these constructs, an exploratory sentiment analysis of Amazon reviews for green products was conducted to surface emotional responses, perceived value drivers, and behavioral cues. The review corpus predominantly reflects positive sentiment alongside mixed subjectivity and factual commentary, highlighting recurring decision factors such as product quality, packaging, sustainability claims, and price sensitivity. Consistent with literature, the evidence aligns with the view that personalization and transparency can bolster trust and more favorable attitudes, while perceived risks—spanning greenwashing concerns, cost, and performance doubts—remain obstacles to adoption. Crucially, the sentiment analysis is presented as illustrative and does not statistically test the proposed mediation or moderation pathways; rather, it offers qualitative support that complements the literature-based conceptual model. The study contributes by integrating insights from digital technologies, consumer psychology, and sustainable marketing to guide authentic, strategic engagement practices that can encourage eco-conscious behavior. Full article
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17 pages, 2007 KB  
Article
The Reassuring Absence of Acute Stress Effects on IQ Test Performance
by Osman Akan, Mustafa Yildirim and Oliver T. Wolf
J. Intell. 2025, 13(10), 131; https://doi.org/10.3390/jintelligence13100131 (registering DOI) - 19 Oct 2025
Abstract
Acute stress impairs executive functions, and these higher-order cognitive processes are often positively associated with intelligence. Even though intelligence is generally stable over time, performance in an intelligence test can be influenced by a variety of factors, including psychological processes like motivation or [...] Read more.
Acute stress impairs executive functions, and these higher-order cognitive processes are often positively associated with intelligence. Even though intelligence is generally stable over time, performance in an intelligence test can be influenced by a variety of factors, including psychological processes like motivation or attention. For instance, test anxiety has been shown to correlate with individual differences in intelligence test performance, and theoretical accounts exist for causality in both directions. However, the potential impact of acute stress before or during an intelligence test remains elusive. Here, in a research context, we investigated the effects of test anxiety and acute stress as well as their interaction on performance in the short version of the Intelligence Structure Test 2000 in its German version (I-S-T 2000 R). Forty male participants completed two sessions scheduled 28 days apart, with the order counterbalanced across participants. In both sessions, participants underwent either the socially evaluated cold-pressor test (SECPT) or a non-stressful control procedure, followed by administration of I-S-T 2000 R (parallelized versions on both days). The SECPT is a widely used laboratory paradigm that elicits a stress response through the combination of psychosocial and physical components. Trait test anxiety scores were obtained via the German Test Anxiety Inventory (TAI-G). Stress induction was successful as indicated by physiological and subjective markers, including salivary cortisol concentrations. We applied linear mixed models to investigate the effects of acute stress (elicited by our stress manipulation) and test anxiety on the intelligence quotient (IQ). The analysis revealed that neither factor had a significant effect, nor was there a significant interaction between them. Consistent with these findings, Bayesian analyses provided evidence supporting the absence of these effects. Notably, IQ scores increased significantly from the first to the second testing day. These results suggest that neither test anxiety nor stress is significantly impacting intelligence test performance. However, improvements due to repeated testing call for caution, both in scientific and clinical settings. Full article
(This article belongs to the Section Contributions to the Measurement of Intelligence)
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26 pages, 3927 KB  
Article
Predicting Visual Comfort in Art Galleries: The Interactive Influence of Painting Tones and Illuminance
by Xinyu Zhao, Zengrong Gao, Tong Zhang, Ruiqi Li and Zhisheng Wang
Appl. Sci. 2025, 15(20), 11183; https://doi.org/10.3390/app152011183 (registering DOI) - 18 Oct 2025
Abstract
This study uniquely integrates physiological and subjective data to predict comfort. To optimize lighting conditions in art galleries, this study investigates the interactive effects of painting tones (cool, medium, warm) and illuminance levels (50, 150, 300 lx) on visual comfort. Using decorative paintings [...] Read more.
This study uniquely integrates physiological and subjective data to predict comfort. To optimize lighting conditions in art galleries, this study investigates the interactive effects of painting tones (cool, medium, warm) and illuminance levels (50, 150, 300 lx) on visual comfort. Using decorative paintings as experimental stimuli, 30 participants were exposed to nine distinct lighting scenarios. Subjective questionnaires and eye-tracking data were collected to establish five predictive models. An additional cohort of 10 participants served as an external validation set. Results indicate that the interaction between tone and illuminance exerts a significant influence on comfort. The optimal combinations identified were cool tone + 50 lx, warm tone + 150 lx, and medium tone + 300 lx. Among the models, XGBoost demonstrated superior predictive performance (R2 = 0.928 in the test set; R2 = 0.884 in external validation). SHAP analysis revealed that the coefficient of variation in pupil diameter was the most critical predictor, followed by fixation count and related features. Both global and individual feature contributions to comfort were elucidated, offering a robust scientific foundation for the precise regulation of lighting environments in art galleries. Full article
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21 pages, 1453 KB  
Review
Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review
by Maksim Solopov, Elizaveta Chechekhina, Viktor Turchin, Andrey Popandopulo, Dmitry Filimonov, Anzhelika Burtseva and Roman Ishchenko
J. Imaging 2025, 11(10), 371; https://doi.org/10.3390/jimaging11100371 (registering DOI) - 18 Oct 2025
Abstract
This scoping review explores the application of artificial intelligence (AI) methods for analyzing mesenchymal stem cells (MSCs) images. The aim of this study was to identify key areas where AI-based image processing techniques are utilized for MSCs analysis, assess their effectiveness, and highlight [...] Read more.
This scoping review explores the application of artificial intelligence (AI) methods for analyzing mesenchymal stem cells (MSCs) images. The aim of this study was to identify key areas where AI-based image processing techniques are utilized for MSCs analysis, assess their effectiveness, and highlight existing challenges. A total of 25 studies published between 2014 and 2024 were selected from six databases (PubMed, Dimensions, Scopus, Google Scholar, eLibrary, and Cochrane) for this review. The findings demonstrate that machine learning algorithms outperform traditional methods in terms of accuracy (up to 97.5%), processing speed and noninvasive capabilities. Among AI methods, convolutional neural networks (CNNs) are the most widely employed, accounting for 64% of the studies reviewed. The primary applications of AI in MSCs image analysis include cell classification (20%), segmentation and counting (20%), differentiation assessment (32%), senescence analysis (12%), and other tasks (16%). The advantages of AI methods include automation of image analysis, elimination of subjective biases, and dynamic monitoring of live cells without the need for fixation and staining. However, significant challenges persist, such as the high heterogeneity of the MSCs population, the absence of standardized protocols for AI implementation, and limited availability of annotated datasets. To advance this field, future efforts should focus on developing interpretable and multimodal AI models, creating standardized validation frameworks and open-access datasets, and establishing clear regulatory pathways for clinical translation. Addressing these challenges is crucial for accelerating the adoption of AI in MSCs biomanufacturing and enhancing the efficacy of cell therapies. Full article
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18 pages, 8055 KB  
Article
Assessment of Occlusal Contacts Recorded with the Medit Intraoral Scanner vs. Exocad Software
by Diana-Elena Vlăduțu, Răzvan Mercuț, Marius Ciprian Văruț, Alexandru Stefârță, Veronica Mercuț, Alexandra Maria Rădoi, Mihaela Roxana Brătoiu, Angelica Diana Popa, Adrian Marcel Popescu, Ștefana Dică, Răzvan Sabin Stan and Daniel Adrian Târtea
J. Clin. Med. 2025, 14(20), 7378; https://doi.org/10.3390/jcm14207378 (registering DOI) - 18 Oct 2025
Abstract
Background/Objectives: Occlusal analysis is an important component of oral rehabilitation with a determining role in the prognosis of restorations. Over time, several qualitative and quantitative occlusal analysis methods have been proposed, starting with occlusion wax up to the most advanced digital systems. [...] Read more.
Background/Objectives: Occlusal analysis is an important component of oral rehabilitation with a determining role in the prognosis of restorations. Over time, several qualitative and quantitative occlusal analysis methods have been proposed, starting with occlusion wax up to the most advanced digital systems. The objective of the present study was to evaluate and compare the data obtained through dental occlusion analysis using the Medit i700 and Exocad Elefsina v3.2 in a group of subjects, in order to establish the reliability or compatibility between the two occlusal analysis systems. Methods: The study was conducted on 20 subjects, aged between 24 and 53 years, who presented in the Dental Prosthetics Clinic of the University of Medicine and Pharmacy of Craiova. Digital impressions were acquired using the Medit Link v.3.3.6 intraoral scanner, and the digital files were subsequently uploaded from the Medit i700 into the Medit Occlusion Analyzer application and the Dental CAD Exocad software. For the analysis of occlusion in dynamics, mandibular movements and data acquisition, positions of edge-to-edge in protrusion, edge-to-edge in right laterotrusion and edge-to-edge in left laterotrusion were recorded, using the corresponding print screens. The 2D occlusal contact images generated by the two software programs were converted into .jpeg format and subsequently imported into Adobe Photoshop CS6 (2021) for comparative analysis. The data were statistically processed for each software used and the obtained data were subsequently compared. Results: The occlusal surfaces recorded with the Medit Occlusion Analyzer application represent 94% of the occlusal surfaces recorded with the Exocad software for the maxilla and 90% of the occlusal surfaces recorded for the mandible. In maximum intercuspation, the highest values were recorded by the Medit i700 software, whereas in edge-to-edge protrusion and both right and left edge-to-edge laterotrusion positions, the highest values were reported by the Exocad software. The discrepancy between maxillary and mandibular values arises from the conversion of the data from a three-dimensional to a two-dimensional format during image processing. Conclusions: The occlusal areas recorded by the DentalCAD Exocad software show higher values than those provided by the Medit Link software with the Medit Occlusion Analyzer application. The differences in recorded values, in the case of the digital flow of prosthetic restorations, require the intervention of the dentist to perform clinical adjustments to optimize occlusal relationships after the fabrication and cementation of restorations. Full article
(This article belongs to the Section Dentistry, Oral Surgery and Oral Medicine)
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13 pages, 671 KB  
Article
Thermodynamic Assessment of Prebiotic Molecule Formation Pathways on Comets
by Luca Tonietti
Universe 2025, 11(10), 349; https://doi.org/10.3390/universe11100349 (registering DOI) - 18 Oct 2025
Abstract
Comets are chemically rich and thermally extreme, spanning surface temperatures from ~50 K in the Oort Cloud to >1000 K for sungrazing bodies. These conditions may support key steps of prebiotic chemistry, including the synthesis of nucleic acid precursors. This study present a [...] Read more.
Comets are chemically rich and thermally extreme, spanning surface temperatures from ~50 K in the Oort Cloud to >1000 K for sungrazing bodies. These conditions may support key steps of prebiotic chemistry, including the synthesis of nucleic acid precursors. This study present a thermodynamic evaluation of seven candidate reactions, producing nitrogenous bases, sugars, nucleosides, and nucleotides, across the cometary temperature spectrum, 50–1000 K. Purine nucleobase synthesis, including adenine formation via aminoacetonitrile polymerization and HCN polymerization, is strongly exergonic at all temperatures. Sugar formation from formaldehyde is also exergonic, while intermediate pathways, e.g., 2-aminooxazole synthesis, become thermodynamically viable only above ~700 K. Nucleoside formation is thermodynamically neutral at low T but becomes favorable at elevated temperatures, whereas phosphorylation to AMP, i.e., adenosine-monophosphate, a nucleotide serving as a critical regulator of cellular energy status, remains highly endergonic under the entire T range studied. My analysis suggests that, under standard-state assumptions, comets can thermodynamically support formation routes of nitrogenous bases and simple sugars but not a complete nucleotide assembly. This supports a dual-phase origin scenario, where comets act as molecular reservoirs, with further polymerization and biological activation occurring post-delivery on planetary surfaces. Importantly, these findings represent purely thermodynamic assessments under standard-state assumptions and do not address kinetic barriers, catalytic influences, or adsorption effects on ice or mineral surfaces. The results should therefore be viewed as a baseline map of feasibility, subject to modifications in more complex chemical environments. Full article
(This article belongs to the Section Planetary Sciences)
17 pages, 2100 KB  
Article
Resolving the Texture–Flavor Trade-Off in ‘Annurca’ Apples with an Integrated Postharvest System
by Giandomenico Corrado, Alessandro Mataffo, Pasquale Scognamiglio, Maurizio Teobaldelli and Boris Basile
Foods 2025, 14(20), 3554; https://doi.org/10.3390/foods14203554 (registering DOI) - 18 Oct 2025
Abstract
The ‘Annurca’ apple, a traditional Italian cultivar protected by the “Melannurca Campana” EU PGI designation, undergoes a mandatory, traditional postharvest reddening process in a melaio. While essential for developing its characteristic flavor and color, this process can also lead to significant textural degradation, [...] Read more.
The ‘Annurca’ apple, a traditional Italian cultivar protected by the “Melannurca Campana” EU PGI designation, undergoes a mandatory, traditional postharvest reddening process in a melaio. While essential for developing its characteristic flavor and color, this process can also lead to significant textural degradation, resulting in a mealy and soft fruit that conflicts with modern consumer expectations. This study investigated an integrated postharvest strategy to resolve this quality trade-off. We evaluated the sensory profile and consumer acceptance of ‘Annurca’ apples subjected to three treatments: traditional melaio reddening (Melaio), a 1-methylcyclopropene treatment alone (MCP), and a combined treatment of MCP followed by melaio reddening (MCP+Melaio). A panel of 534 consumers evaluated the apples for overall liking and the intensity of seven key sensory attributes. The results showed that the integrated ‘MCP+Melaio’ treatment was significantly preferred (Mean liking = 6.61) over both the traditional ‘Melaio’ (M = 5.91) and ‘MCP’ alone (M = 5.91) treatments. This preference was driven by a superior sensory profile that combined the high crunchiness and low mealiness of the MCP treatment with the high perceived aroma intensity and sweetness developed during the melaio phase. Furthermore, consumer segmentation analysis identified four distinct preference clusters, revealing that the integrated treatment’s success derived from its ability to satisfy the divergent priorities of the two largest segments: “Melaio Fans” (37%) and “Texture & Flavor Seekers” (35%). Our findings demonstrate that combining 1-MCP with traditional practices creates a synergistic effect, producing a high-quality apple that is texturally superior, aromatically intense, and has an extended sensory shelf-life. This integrated approach offers a scientifically validated and practical solution to enhance the quality and consistency of ‘Annurca’ apple production. Full article
(This article belongs to the Section Sensory and Consumer Sciences)
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28 pages, 84824 KB  
Article
Deep Learning-Based Multitemporal Spatial Analytics for Assessing Reclamation Compliance of Coal Mining Permits in Kalimantan with Satellite Images
by Koni D. Prasetya and Fuan Tsai
Remote Sens. 2025, 17(20), 3477; https://doi.org/10.3390/rs17203477 (registering DOI) - 18 Oct 2025
Abstract
Monitoring reclamation compliance is important to ensure mining activities follow environmental regulations and reduce land degradation. Yet, few studies directly assess compliance by linking multitemporal satellite data with mining permits. This study presents a multitemporal spatial analytics approach to evaluate reclamation compliance in [...] Read more.
Monitoring reclamation compliance is important to ensure mining activities follow environmental regulations and reduce land degradation. Yet, few studies directly assess compliance by linking multitemporal satellite data with mining permits. This study presents a multitemporal spatial analytics approach to evaluate reclamation compliance in coal mining permit areas in South Kalimantan, Indonesia. Using satellite imagery from 2016 to 2021, a U-Net-based deep learning classification model classified five land surface types (topsoil, subsoil, vegetation, coal bodies and water bodies) with 0.94 accuracy and a Kappa statistic of 0.91. However, this relatively high accuracy was influenced by the dominance of vegetation compared to more challenging classes such as topsoil and subsoil, which remain subject to misclassification. Analysis of temporal transitions revealed patterns of surface disturbance and delayed reclamation, particularly shown by increased subsoil and reduced vegetation. These changes were integrated with coal mining permit boundaries to derived compliance ratios (CR) ranging from 0.32 to 1.44 across nine permit holders, most of which showed moderate to excellent compliance levels. This indicates that reclamation efforts have been generally being implemented, with several permit holders exceeding expectations, while a few others still need to improve. Reclamation Activity Index (RAI) was developed to classify annual performance and showed strong alignment with the U-Net-based deep learning classification model for surface change trends. The proposed approach provides a scalable and practical tool to support evidence-based monitoring and enforcement of mining reclamation policies. Full article
(This article belongs to the Special Issue Artificial Intelligence and Remote Sensing for Geohazards)
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23 pages, 387 KB  
Article
The Afterlife of Petrarch’s Liber sine nomine in Catholic and Protestant Contexts: The Case of Bernhard von Kraiburg’s Epistle on the Fall of Constantinople (1453)
by Péter Ertl
Religions 2025, 16(10), 1318; https://doi.org/10.3390/rel16101318 - 17 Oct 2025
Abstract
Petrarch’s Liber sine nomine is a collection of satirical letters against the Avignon Curia, remarkable for its stylistic refinement. It offered later readers multiple possibilities of interpretation and reuse, serving both as a rhetorical model and as a resource for anti-papal argumentation. While [...] Read more.
Petrarch’s Liber sine nomine is a collection of satirical letters against the Avignon Curia, remarkable for its stylistic refinement. It offered later readers multiple possibilities of interpretation and reuse, serving both as a rhetorical model and as a resource for anti-papal argumentation. While literary application predominated in the fifteenth century, the collection was later repurposed in religious debates between Protestants and Catholics. This paper examines a little-known episode in its afterlife, namely the epistle on the fall of Constantinople in 1453 by Bernhard von Kraiburg, chancellor of the Archbishop of Salzburg and later Bishop of Chiemsee. Close philological analysis shows that Bernhard adapted extensive passages from the Liber sine nomine and, along with a few other authors, established a distinct line of reception by reinterpreting selected letters as prayers. In the second half of the seventeenth century, however, Bernhard’s work met an analogous fate to that of its model. It was read and reframed from a Lutheran perspective by Johann Konrad Dieterich, professor of Greek and history at the University of Gießen, and was subsequently subjected to indirect censorship in the Index librorum prohibitorum. Full article
(This article belongs to the Special Issue Peccata Lectionis)
17 pages, 9744 KB  
Article
Effect of Secondary Aging Conditions on Mechanical Properties and Microstructure of AA7150 Aluminum Alloy
by Fei Chen, Han Wang, Yanan Jiang, Yu Liu, Qiang Zhou and Quanqing Zeng
Materials 2025, 18(20), 4763; https://doi.org/10.3390/ma18204763 - 17 Oct 2025
Abstract
Al-Zn-Mg-Cu alloys are widely used as heat-treatable ultra-high-strength materials in aerospace structural applications. While conventional single-stage aging enables high strength, advanced performance demands call for precise microstructural control via multi-stage aging. In this study, we employ a combination of scanning transmission electron microscopy [...] Read more.
Al-Zn-Mg-Cu alloys are widely used as heat-treatable ultra-high-strength materials in aerospace structural applications. While conventional single-stage aging enables high strength, advanced performance demands call for precise microstructural control via multi-stage aging. In this study, we employ a combination of scanning transmission electron microscopy (STEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) to investigate the microstructural evolution and its correlation with mechanical properties of AA7150 aluminum alloy subjected to two-step aging treatments, following a 6 h pre-aging at 120 °C. Through atomic-scale STEM imaging along the [110]Al zone axis, we systematically characterize the precipitation behavior of GPII zones, η′ phases, and equilibrium η phases both within the grains and at grain boundaries under varying secondary aging (SA) conditions. Our results reveal that increasing the SA temperature from 140 °C to 180 °C leads to coarsening and reduced number density of intragranular precipitates, while promoting the continuous and coarse precipitation of η phases along grain boundaries, accompanied by a widening of the precipitation-free zone (PFZ). Notably, SA at 160 °C induces the formation of fine, uniformly dispersed nanoscale η′ precipitates in the alloy, as confirmed by XRD phase analysis. Aging at this temperature markedly enhances the mechanical properties, achieving an ultimate tensile strength (UTS) of 613 MPa and a yield strength (YS) of 598 MPa, while presenting an exceptionally broad peak-aging plateau. Owing to this feature, a moderate extension of the SA duration does not reduce strength and can further improve ductility, increasing the elongation (EL) to 14.26%. These results demonstrate a novel two-step heat-treatment strategy that simultaneously achieves ultra-high strength and excellent ductility, highlighting the critical role of advanced electron microscopy in elucidating phase-transformation pathways that inform microstructure-guided alloy design and processing. Full article
(This article belongs to the Section Metals and Alloys)
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14 pages, 1818 KB  
Article
The Mitochondrial Hsp90 Homolog PmTRAP1 Mediates Thermal Tolerance in the Papaya Mealybug, Paracoccus marginatus
by Yanting Chen, Xiaomin Zhao, Chenyu Lv, Jianwei Zhao, Mengzhu Shi, Jianwei Fu and Jianyu Li
Insects 2025, 16(10), 1064; https://doi.org/10.3390/insects16101064 - 17 Oct 2025
Abstract
The papaya mealybug, Paracoccus marginatus, a significant invasive pest in tropical and subtropical regions, exhibits a notable capacity to withstand high-temperature stress. To elucidate the molecular basis of this thermotolerance, we investigated the role of heat shock protein 90 (Hsp90) genes in [...] Read more.
The papaya mealybug, Paracoccus marginatus, a significant invasive pest in tropical and subtropical regions, exhibits a notable capacity to withstand high-temperature stress. To elucidate the molecular basis of this thermotolerance, we investigated the role of heat shock protein 90 (Hsp90) genes in this species. The full-length cDNA sequences of three Hsp90 genes—PmHsp90-1, PmHsp90-2, and PmTRAP1—were cloned, subjected to bioinformatic analysis, and their expression profiles under heat stress were detected. RNAi-mediated suppression of PmTRAP1 was conducted to evaluate survival under extreme high-temperature conditions. The open reading frames (ORFs) of PmHsp90-1, PmHsp90-2, and PmTRAP1 are 2175 bp, 2178 bp, and 2085 bp in length, encoding proteins comprising 724, 725, and 694 amino acids, respectively. Phylogenetic and structural analyses confirmed that PmHsp90-1 and PmHsp90-2 are cytosolic isoforms, each containing a characteristic C-terminal MEEVD motif, while PmTRAP1 was identified as the mitochondrial isoform. All three genes were significantly upregulated under heat stress. RNAi-mediated knockdown of PmTRAP1 markedly reduced the survival rate of P. marginatus under extreme high temperature. These findings demonstrate that PmTRAP1 is essential for heat tolerance in the papaya mealybug. This study provides crucial insights into the molecular mechanisms of thermal adaptation in insects and identifies PmTRAP1 as a potential target for future research on managing insect responses to environmental stress. Full article
(This article belongs to the Special Issue Research on Insect Molecular Biology)
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19 pages, 1311 KB  
Article
An Interpretable Soft-Sensor Framework for Dissertation Peer Review Using BERT
by Meng Wang, Jincheng Su, Zhide Chen, Wencheng Yang and Xu Yang
Sensors 2025, 25(20), 6411; https://doi.org/10.3390/s25206411 - 17 Oct 2025
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Abstract
Graduate education has entered the era of big data, and systematic analysis of dissertation evaluations has become crucial for quality monitoring. However, the complexity and subjectivity inherent in peer-review texts pose significant challenges for automated analysis. While natural language processing (NLP) offers potential [...] Read more.
Graduate education has entered the era of big data, and systematic analysis of dissertation evaluations has become crucial for quality monitoring. However, the complexity and subjectivity inherent in peer-review texts pose significant challenges for automated analysis. While natural language processing (NLP) offers potential solutions, most existing methods fail to adequately capture nuanced disciplinary criteria or provide interpretable inferences for educators. Inspired by soft-sensor, this study employs a BERT-based model enhanced with additional attention mechanisms to quantify latent evaluation dimensions from dissertation reviews. The framework integrates Shapley Additive exPlanations (SHAP) to ensure the interpretability of model predictions, combining deep semantic modeling with SHAP to quantify characteristic importance in academic evaluation. The experimental results demonstrate that the implemented model outperforms baseline methods in accuracy, precision, recall, and F1-score. Furthermore, its interpretability mechanism reveals key evaluation dimensions experts prioritize during the paper assessment. This analytical framework establishes an interpretable soft-sensor paradigm that bridges NLP with substantive review principles, providing actionable insights for enhancing dissertation improvement strategies. Full article
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Article
Bee Bread Granule Drying in a Solar Dryer with Mobile Shelves
by Indira Daurenova, Ardak Mustafayeva, Kanat Khazimov, Francesco Pegna and Marat Khazimov
Energies 2025, 18(20), 5472; https://doi.org/10.3390/en18205472 - 17 Oct 2025
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Abstract
This paper presents the development and evaluation of an autonomous solar dryer designed to enhance the drying efficiency of bee bread granules. In contrast to natural open-air drying, the proposed system utilizes solar energy in an oscillating operational mode to achieve a controlled [...] Read more.
This paper presents the development and evaluation of an autonomous solar dryer designed to enhance the drying efficiency of bee bread granules. In contrast to natural open-air drying, the proposed system utilizes solar energy in an oscillating operational mode to achieve a controlled and accelerated drying process. The dryer comprises a solar collector integrated into the base of the drying chamber, which facilitates convective heating of the drying agent (air). The system is further equipped with a photovoltaic panel to generate electricity for powering and controlling the operation of air extraction fans. The methodology combines numerical modeling with experimental studies, structured by an experimental design framework. The modeling component simulates variations in temperature (288–315 K) and relative humidity within a layer of bee bread granules subjected to a convective air flow. The numerical simulation enabled the determination of the following: the time required to achieve a stationary operating mode in the dryer chamber (20 min); and the rate of change in moisture content within the granule layer during conventional drying (18 h) and solar drying treatment (6 h). The experimental investigations focused on determining the effects of granule mass, air flow rate, and drying time on the moisture content and temperature of the granular layer of Bee Bread. A statistically grounded analysis, based on the design of experiments (DoE), demonstrated a reduction in moisture content from an initial 16.2–18.26% to a final 11.1–12.1% under optimized conditions. Linear regression models were developed to describe the dependencies for both natural and forced convection drying. A comparative evaluation using enthalpy–humidity (I-d) diagrams revealed a notable improvement in the drying efficiency of the proposed method compared to natural drying. This enhanced performance is attributed to the system’s intermittent operational mode and its ability to actively remove moist air. The results confirm the potential of the developed system for sustainable and energy-efficient drying of bee bread granules in remote areas with limited access to a conventional power grid. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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