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19 pages, 4447 KiB  
Article
Application of Ferric–Graphene Quantum Dot Complex for Evaluation and Imaging of Antioxidants in Foods Based on Fluorescence Turn-Off–On Strategy
by Mahmoud El-Maghrabey, Aya Yamamichi, Ali Abdel-Hakim, Naoya Kishikawa and Naotaka Kuroda
Antioxidants 2025, 14(9), 1034; https://doi.org/10.3390/antiox14091034 - 22 Aug 2025
Abstract
Antioxidants have drawn much interest owing to their capacity to shield the human body from reactive oxygen species (ROS). Therefore, it is essential to develop a quick and easy assay for the evaluation of antioxidants and for imaging their distribution in food. Herein, [...] Read more.
Antioxidants have drawn much interest owing to their capacity to shield the human body from reactive oxygen species (ROS). Therefore, it is essential to develop a quick and easy assay for the evaluation of antioxidants and for imaging their distribution in food. Herein, we describe a fluorescence measurement platform for assessing and visualizing antioxidant capacity. Our method is based on using the composite of graphene quantum dots (GQDs) with Fe3+ (Fe3+-GQDs) as a reagent for evaluating and imaging the antioxidant capacity in foods using a fluorescence turn-off–on strategy. The fluorescence of GQDs was found to be selectively quenched with Fe3+ at pH 3.5. Upon addition of an antioxidant, Fe3+ is reduced to Fe2+, and the fluorescence of GQDs is regained. Next, we investigated the fluorescence intensity after the reaction of Fe3+-GQDs with seven typical antioxidants, and it showed excellent sensitivity down to 0.60 µM of antioxidant. Next, using Fe3+-GQDs as a reagent, we developed a paper-based fluorescence imaging method for antioxidants in foods. Furthermore, we analyzed the distribution of antioxidant capacity on cucumber and carrot slices (tips, central parts, and shoulders). Next, the antioxidant capacity of cucumber and carrot slice extracts was measured, and the results were consistent with the fluorescence imaging results of the intact slices. Full article
(This article belongs to the Section Extraction and Industrial Applications of Antioxidants)
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15 pages, 784 KiB  
Article
Development of Marker-Based Motion Capture Using RGB Cameras: A Neural Network Approach for Spherical Marker Detection
by Yuji Ohshima
Sensors 2025, 25(17), 5228; https://doi.org/10.3390/s25175228 - 22 Aug 2025
Abstract
Marker-based motion capture systems using infrared cameras (IR MoCaps) are commonly employed in biomechanical research. However, their high costs pose challenges for many institutions seeking to implement such systems. This study aims to develop a neural network (NN) model to estimate the digitized [...] Read more.
Marker-based motion capture systems using infrared cameras (IR MoCaps) are commonly employed in biomechanical research. However, their high costs pose challenges for many institutions seeking to implement such systems. This study aims to develop a neural network (NN) model to estimate the digitized coordinates of spherical markers and to establish a lower-cost marker-based motion capture system using RGB cameras. Thirteen participants were instructed to walk at self-selected speeds while their movements were recorded with eight RGB cameras. Each participant undertook trials with 24 mm spherical markers attached to 25 body landmarks (marker trials), as well as trials without markers (non-marker trials). To generate training data, virtual markers mimicking spherical markers were randomly inserted into images from the non-marker trials. These images were then used to fine-tune a pre-trained model, resulting in an NN model capable of detecting spherical markers. The digitized coordinates inferred by the NN model were employed to reconstruct the three-dimensional coordinates of the spherical markers, which were subsequently compared with the gold standard. The mean resultant error was determined to be 2.2 mm. These results suggest that the proposed method enables fully automatic marker reconstruction comparable to that of IR MoCap, highlighting its potential for application in motion analysis. Full article
(This article belongs to the Section Physical Sensors)
7 pages, 411 KiB  
Case Report
Concomitant Neck and Lung Masses Post Dental Procedure—A Potential Novel Presentation of the Cellulosimicrobium Species in Humans
by Kevin M. Sheehan, Geraldine Moloney, Olive Murphy, Paul Ryan, Triona Hayes, Madeleine R. Harney, Michael Harney and Oisin O’Connell
Infect. Dis. Rep. 2025, 17(5), 103; https://doi.org/10.3390/idr17050103 - 22 Aug 2025
Abstract
Background: Cellulosimicrobium, formerly known as the Oerskovia genus, is a Gram-positive organism known for its characteristic bright yellow colonies. While abundant in nature, it is very rarely linked to pathogenesis in humans. While there is no classical presentation for Cellulosimicrobium-associated infections, [...] Read more.
Background: Cellulosimicrobium, formerly known as the Oerskovia genus, is a Gram-positive organism known for its characteristic bright yellow colonies. While abundant in nature, it is very rarely linked to pathogenesis in humans. While there is no classical presentation for Cellulosimicrobium-associated infections, cases tend to be foreign body-related or involve immunocompromised patients. Rates of Cellulosimicrobium-associated infections have been hypothesised to rise in the future, due to rising numbers of immunocompromised patients in the community and increasing usage of foreign bodies such as prostheses and long-term catheters. Existing technical difficulties regarding misidentifying cultures as other species (often other coryneforms) may also play a significant role in the low number of documented cases, and this may change in the near future with diagnostic advancements such as whole genomic sequencing. Case Presentation: A 57-year-old immunocompetent Irish male presented with concomitant neck and lung masses. Notably, this was found to be directly following a recent dental procedure. During extensive investigations, Cellulosimicrobium was isolated from biopsied lung tissue using 16S ribosomal ribonucleic acid gene-sequencing analysis. The patient was treated with long-term oral amoxicillin and safely discharged, with both masses showing measurable reductions in size on subsequent imaging. Conclusions: Should Cellulosimicrobium represent the causative pathological organism in this case, then we believe this to represent a potential novel documented presentation of the organism’s pathogenesis in humans. We provide detailed discussion surrounding the successful management of this patient and the evaluation of the evolving differential diagnosis throughout this case. Full article
(This article belongs to the Section Bacterial Diseases)
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11 pages, 1361 KiB  
Review
Clinical Utility of eZIS in Cerebral Blood Flow SPECT
by Shinji Yamamoto, Nobukiyo Yoshida, Noriko Sakurai, Yukinori Okada, Masayuki Satoh, Koji Takeshita, Motoki Nakai, Koichiro Abe, Mana Yoshimura and Kazuhiro Saito
Diagnostics 2025, 15(17), 2125; https://doi.org/10.3390/diagnostics15172125 - 22 Aug 2025
Abstract
Cerebral perfusion single-photon emission computed tomography (SPECT) is a nuclear medicine imaging technique that uses radiopharmaceuticals that selectively accumulate in the brain. However, cerebral perfusion SPECT is typically interpreted through visual assessment, making the results susceptible to observer subjectivity and varying levels of [...] Read more.
Cerebral perfusion single-photon emission computed tomography (SPECT) is a nuclear medicine imaging technique that uses radiopharmaceuticals that selectively accumulate in the brain. However, cerebral perfusion SPECT is typically interpreted through visual assessment, making the results susceptible to observer subjectivity and varying levels of experience. The easy Z-score Imaging System (eZIS) is a software that quantitatively analyzes cerebral perfusion SPECT images obtained using 99mTc-ECD by comparing them with a normal database and applying Z-scores for quantification. The eZIS received regulatory approval in January 2015 and is currently used as an auxiliary tool for clinical diagnosis. The eZIS aids in diagnosing Alzheimer’s disease by quantifying the degree of cerebral blood flow reduction in the posterior cingulate gyrus, precuneus, and parietal lobe, which are characteristic regions affected by the disease. Additionally, it can assist in diagnosing Lewy body dementia by evaluating the “cingulate island sign,” a characteristic finding in which cerebral blood flow in the posterior cingulate gyrus and precuneus is relatively preserved compared with that in the occipital lobe. eZIS is thus extremely useful for dementia diagnosis. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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19 pages, 339 KiB  
Review
Nutritional Management in Chronic Pancreatitis: From Exocrine Pancreatic Insufficiency to Precision Therapy
by Angelo Bruni, Luigi Colecchia, Giuseppe Dell’Anna, Davide Scalvini, Francesco Vito Mandarino, Andrea Lisotti, Lorenzo Fuccio, Paolo Cecinato, Giovanni Marasco, Gianfranco Donatelli, Giovanni Barbara and Leonardo Henry Eusebi
Nutrients 2025, 17(17), 2720; https://doi.org/10.3390/nu17172720 - 22 Aug 2025
Abstract
Chronic pancreatitis (CP) precipitates complex malnutrition through synergistic mechanisms: exocrine pancreatic insufficiency–driven maldigestion, duodenal or pancreatobiliary strictures limiting nutrient flow, cholestasis impairing micelle formation, alcohol-related anorexia, pain-induced hypophagia, proteolytic catabolism from type 3c diabetes, and a chronic inflammatory milieu that accelerates sarcopenia and [...] Read more.
Chronic pancreatitis (CP) precipitates complex malnutrition through synergistic mechanisms: exocrine pancreatic insufficiency–driven maldigestion, duodenal or pancreatobiliary strictures limiting nutrient flow, cholestasis impairing micelle formation, alcohol-related anorexia, pain-induced hypophagia, proteolytic catabolism from type 3c diabetes, and a chronic inflammatory milieu that accelerates sarcopenia and bone demineralisation. Consequent calorie–protein depletion, micronutrient and fat-soluble vitamin deficits, and metabolic derangements markedly amplify morbidity. Pancreatic enzyme replacement therapy (PERT) with targeted micronutrient repletion is foundational; high-protein regimens co-administered with PERT curb muscle loss, and medium-chain triglycerides (MCTs) can augment caloric delivery by bypassing lipase dependence, although their benefit over personalised dietetic counselling is marginal. Optimal dietary fat thresholds and timing of escalation from oral to enteral or parenteral feeding remain unresolved. Comprehensive care also demands alcohol abstinence, effective analgesia and stringent glycaemic control. Serial monitoring—biochemical indices, densitometry, dual-energy X-ray absorptiometry and imaging-based body-composition metrics—permits early detection of high-risk patients and precision tailoring of interventions. Intensified multidisciplinary programmes already improve prognostic endpoints and are unveiling biomarkers of nutritional resilience. A structured, evidence-based strategy integrating PERT, macronutrient engineering, micronutrient repletion and metabolic surveillance is essential to mitigate nutrition-related morbidity, enhance long-term outcomes and optimise quality of life in CP. Full article
(This article belongs to the Section Clinical Nutrition)
14 pages, 2568 KiB  
Review
Total Body Irradiation in Haematopoietic Stem Cell Transplantation: A Comprehensive Literature Review and Institutional Experience from the Policlinico of Catania
by Maria Chiara Lo Greco, Roberto Milazzotto, Grazia Acquaviva, Rocco Luca Emanuele Liardo, Giorgia Marano, Madalina La Rocca, Antonio Basile, Pietro Valerio Foti, Stefano Palmucci, Emanuele David, Corrado Iní, Lorenzo Aliotta, Vincenzo Salamone, Viviana Anna La Monaca, Stefano Pergolizzi and Corrado Spatola
Medicina 2025, 61(9), 1503; https://doi.org/10.3390/medicina61091503 - 22 Aug 2025
Abstract
Background and Objectives: Total body irradiation (TBI) remains a cornerstone of conditioning for allogeneic haematopoietic stem-cell transplantation (HSCT). Whereas early research debated the need for irradiation, contemporary investigations focus on optimising dose, fractionation and delivery techniques. Material and Methods: We synthesised [...] Read more.
Background and Objectives: Total body irradiation (TBI) remains a cornerstone of conditioning for allogeneic haematopoietic stem-cell transplantation (HSCT). Whereas early research debated the need for irradiation, contemporary investigations focus on optimising dose, fractionation and delivery techniques. Material and Methods: We synthesised six decades of evidence, spanning from single-fraction cobalt treatments to modern helical tomotherapy and intensity-modulated total-marrow/lymphoid irradiation (TMI/TMLI). To complement the literature, we reported our institutional experience on 77 paediatric and adult recipients treated with conventional extended-source-to-skin-distance TBI at the University Hospital Policlinico “G. Rodolico–San Marco” between 2015 and 2025. Results: According to literature data, fractionated myeloablative schedules, typically 12 Gy in 6 fractions, provide superior overall survival and lower rates of severe graft-versus-host disease (GVHD) compared with historical single-dose regimens. Conversely, reduced-intensity protocols of 2–4 Gy broaden HSCT eligibility for older or comorbid patients with acceptable toxicity. Conformal planning reliably decreases mean lung dose without compromising engraftment, and early-phase trials are testing selective escalation to 16–20 Gy or omission of TBI in molecularly favourable cases. With regard to our institutional retrospective series, 92% of patients completed a 12-Gy regimen with only transient grade 1–2 nausea, fatigue or hypotension; all transplanted patients engrafted, and no grade ≥ 3 radiation pneumonitis occurred. Conclusions: Collectively, the published evidence and our experience support TBI as an irreplaceable component of HSCT conditioning and suggest that coupling it with advanced imaging, organ-sparing dosimetry and molecular response monitoring can deliver safer, more personalised therapy in the coming decade. Full article
(This article belongs to the Section Oncology)
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22 pages, 859 KiB  
Article
Orthorexia Nervosa and Its Associations with Novel Foods and Body Image Concerns
by Mirko Duradoni, Giulia Colombini, Noemi Gori and Andrea Guazzini
Behav. Sci. 2025, 15(8), 1138; https://doi.org/10.3390/bs15081138 - 21 Aug 2025
Abstract
Research on food-related behaviors has increasingly focused on orthorexia nervosa, but the underlying mechanisms are not fully understood, especially with the rise of new types of healthy foods. This study examines the associations between orthorexic tendencies, as measured by the Orthorexia Nervosa Inventory [...] Read more.
Research on food-related behaviors has increasingly focused on orthorexia nervosa, but the underlying mechanisms are not fully understood, especially with the rise of new types of healthy foods. This study examines the associations between orthorexic tendencies, as measured by the Orthorexia Nervosa Inventory and ORTO-R, and scores on the Food Neophobias Scale, attitudes toward novel foods, body shape concerns, as assessed by the Body Shape Questionnaire, and drive for muscularity, training adherence, and anabolic steroid use, as measured by the Drive for Muscularity Scale. A total of 306 participants (68.3% female; Mage = 35.4 years, SD = 13.7), who were at least 18 old and fluent in Italian, took part in an online, anonymous data collection. The results revealed mixed associations between ON and the perceived attractiveness or intention to consume novel foods. In contrast, no relationship was found between orthorexia and food neophobia. Additionally, orthorexic dimensions were correlated with greater body shape dissatisfaction (r-scores ranging from 0.44 to 0.52, p < 0.001) and a drive for muscularity (r-scores ranging from 0.43 to 0.57, p < 0.001). Notably, orthorexic scores showed significant positive correlations with thoughts about anabolic steroid use (r-scores ranging from 0.26 to 0.60, p < 0.001) and training adherence (r-scores ranging from 0.39 to 0.53, p < 0.001) in a subsample of people who regularly exercise. Of examined the predictors, body shape concerns and thoughts about anabolic steroid use (ß ranging from 0.21 to 0.55, and R2 ranging from 0.43 to 0.57, p < 0.001) were the most robust predictors of orthorexic tendencies. Overall, the findings highlight the complex relationships between orthorexic tendencies, perceptions, and attitudes, as well as body-related concerns, while also providing new insights into their connection to novel foods. Full article
(This article belongs to the Special Issue Body Image and Wellbeing: From a Social Psychology Perspective)
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21 pages, 12036 KiB  
Article
Temporal Analysis of Reservoirs, Lakes, and Rivers in the Euphrates–Tigris Basin from Multi-Sensor Data Between 2018 and 2022
by Omer Gokberk Narin, Roderik Lindenbergh and Saygin Abdikan
Remote Sens. 2025, 17(16), 2913; https://doi.org/10.3390/rs17162913 - 21 Aug 2025
Abstract
Monitoring freshwater resources is essential for assessing the impacts of drought, water management and global warming. Spaceborne LiDAR altimeters allow researchers to obtain water height information, while water area and precipitation data can be obtained using different satellite systems. In our study, we [...] Read more.
Monitoring freshwater resources is essential for assessing the impacts of drought, water management and global warming. Spaceborne LiDAR altimeters allow researchers to obtain water height information, while water area and precipitation data can be obtained using different satellite systems. In our study, we examined 5 years (2018–2022) of data concerning the Euphrates–Tigris Basin (ETB), one of the most important freshwater resources of the Middle East, and the water bodies of both the ETB and the largest lake of Türkiye, Lake Van. A multi-sensor study aimed to detect and monitor water levels and water areas in the water scarcity basin. The ATL13 product of the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was used to determine water levels, while the normalized difference water index was applied to the Sentinel-2 optical imaging satellite to monitor the water area. Variations in both water level and area may be related to the time series of precipitation data from the ECMWF Reanalysis v5 (ERA5) product. In addition, our results were compared with global HydroWeb water level data. Consequently, it was observed that the water levels in the region decreased by 5–6 m in many reservoirs after 2019. It is noteworthy that there was a decrease of approximately 14 m in the water level and 684 km2 in the water area between July 2019 and July 2022 in Lake Therthar. Full article
(This article belongs to the Special Issue Multi-Source Remote Sensing Data in Hydrology and Water Management)
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24 pages, 12526 KiB  
Review
Advancements in Diagnosis of Neoplastic and Inflammatory Skin Diseases: Old and Emerging Approaches
by Serena Federico, Fortunato Cassalia, Marcodomenico Mazza, Paolo Del Fiore, Nuria Ferrera, Josep Malvehy, Irma Trilli, Ana Claudia Rivas, Gerardo Cazzato, Giuseppe Ingravallo, Marco Ardigò and Francesco Piscazzi
Diagnostics 2025, 15(16), 2100; https://doi.org/10.3390/diagnostics15162100 - 20 Aug 2025
Abstract
Background: In recent decades, dermatological diagnostics have undergone a profound transformation, driven by the integration of new technologies alongside traditional methods. Classic techniques such as the Tzanck smear, potassium hydroxide (KOH) preparation, and Wood’s lamp examination remain fundamental in everyday clinical practice due [...] Read more.
Background: In recent decades, dermatological diagnostics have undergone a profound transformation, driven by the integration of new technologies alongside traditional methods. Classic techniques such as the Tzanck smear, potassium hydroxide (KOH) preparation, and Wood’s lamp examination remain fundamental in everyday clinical practice due to their simplicity, speed, and accessibility. At the same time, the development of non-invasive imaging technologies and the application of artificial intelligence (AI) have opened new frontiers in the early detection and monitoring of both neoplastic and inflammatory skin diseases. Methods: This review aims to provide a comprehensive overview of how conventional and emerging diagnostic tools can be integrated into dermatologic practice. Results: We examined a broad spectrum of diagnostic methods currently used in dermatology, ranging from traditional techniques to advanced approaches such as digital dermoscopy, reflectance confocal microscopy (RCM), optical coherence tomography (OCT), line-field confocal OCT (LC-OCT), 3D total body imaging systems with AI integration, mobile applications, electrical impedance spectroscopy (EIS), and multispectral imaging. Each method is discussed in terms of diagnostic accuracy, clinical applications, and potential limitations. While traditional methods continue to play a crucial role—especially in resource-limited settings or for immediate bedside decision-making—modern tools significantly enhance diagnostic precision. Dermoscopy and its digital evolution have improved the accuracy of melanoma and basal cell carcinoma detection. RCM and LC-OCT allow near-histological visualization of skin structures, reducing the need for invasive procedures. AI-powered platforms support lesion tracking and risk stratification, though their routine implementation requires further clinical validation and regulatory oversight. Tools like EIS and multispectral imaging may offer additional value in diagnostically challenging cases. An effective diagnostic approach in dermatology should rely on a thoughtful combination of methods, selected based on clinical suspicion and guided by Bayesian reasoning. Conclusions: Rather than replacing traditional tools, advanced technologies should complement them—optimizing diagnostic accuracy, improving patient outcomes, and supporting more individualized, evidence-based care. Full article
14 pages, 908 KiB  
Brief Report
How Metaphorical Instructions Influence Children’s Motor Learning and Memory in Online Settings
by Weiqi Zheng and Xinyun Liu
Behav. Sci. 2025, 15(8), 1132; https://doi.org/10.3390/bs15081132 - 20 Aug 2025
Abstract
Metaphorical instructions are widely used in motor skill learning, yet their impact on learning and memory processes in children remains underexplored. This study examined whether metaphor-based language could enhance children’s acquisition and recall of body posture-related motor skills in an online learning environment. [...] Read more.
Metaphorical instructions are widely used in motor skill learning, yet their impact on learning and memory processes in children remains underexplored. This study examined whether metaphor-based language could enhance children’s acquisition and recall of body posture-related motor skills in an online learning environment. Forty-eight children aged 7 to 9 were randomly assigned to receive either metaphorical or explicit verbal instructions while learning 15 gymnastic postures demonstrated through static images. Following the learning phase, participants completed a free recall task, in which they reproduced the learned postures without cues, and a recognition task involving the identification of previously learned postures. Results indicated that children in the metaphor group recalled significantly more postures than those in the explicit group, with no reduction in movement quality. However, no group differences were observed in recognition accuracy or discrimination sensitivity. These findings suggest that metaphorical instructions may enhance children’s ability to retrieve self-generated motor representations but offer limited advantage when external cues are available. The study provides evidence for the value of metaphor-based strategies in supporting immediate motor memory in digital, child-focused learning settings and highlights the potential task-dependency of instructional language effects on memory outcomes. Full article
(This article belongs to the Special Issue Physical and Motor Development in Children)
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23 pages, 3772 KiB  
Review
The Developing Human Sphenoid Bone: Linking Embryological Development to Adult Morphology
by George Triantafyllou and Maria Piagkou
Biology 2025, 14(8), 1090; https://doi.org/10.3390/biology14081090 - 20 Aug 2025
Abstract
The human sphenoid bone (SB), centrally located at the cranial base, is structurally and developmentally complex. It arises from multiple cartilaginous precursors and undergoes both endochondral and intramembranous ossification, forming essential elements such as the sella, orbital walls, and numerous foramina. This review [...] Read more.
The human sphenoid bone (SB), centrally located at the cranial base, is structurally and developmentally complex. It arises from multiple cartilaginous precursors and undergoes both endochondral and intramembranous ossification, forming essential elements such as the sella, orbital walls, and numerous foramina. This review integrates embryological, anatomical, and radiological findings to present a comprehensive view of SB development and variation. Embryological studies reveal a layered ossification sequence, with accessory centers in the presphenoid and basisphenoid that influence adult morphology and variants, such as the caroticoclinoid foramen. In adulthood, the SB consists of a central body, paired greater and lesser wings, and the pterygoid processes, which articulate with key craniofacial bones and transmit vital neurovascular structures. Notable variants include duplication or absence of foramina, ossification of ligaments such as the pterygoid and pterygospinous ligaments, and the formation of bony bridges among the clinoid processes. These variants may affect cranial nerve trajectories and surgical access, posing potential risks during neurosurgical, endoscopic, and dental interventions. Emissary structures such as the sphenoidal emissary foramen and the newly described sphenopterygoid canal underscore the region’s vascular complexity. Additionally, variations in the optic and Vidian canals, as well as the superior orbital fissure, can also impact surgical approaches to the orbit, sinuses, and skull base. Understanding the full spectrum of sphenoid bone embryogenesis and morphology is essential for safe clinical practice and practical radiological imaging. Full article
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27 pages, 4153 KiB  
Article
Mitigating Context Bias in Vision–Language Models via Multimodal Emotion Recognition
by Constantin-Bogdan Popescu, Laura Florea and Corneliu Florea
Electronics 2025, 14(16), 3311; https://doi.org/10.3390/electronics14163311 - 20 Aug 2025
Abstract
Vision–Language Models (VLMs) have become key contributors to the state of the art in contextual emotion recognition, demonstrating a superior ability to understand the relationship between context, facial expressions, and interactions in images compared to traditional approaches. However, their reliance on contextual cues [...] Read more.
Vision–Language Models (VLMs) have become key contributors to the state of the art in contextual emotion recognition, demonstrating a superior ability to understand the relationship between context, facial expressions, and interactions in images compared to traditional approaches. However, their reliance on contextual cues can introduce unintended biases, especially when the background does not align with the individual’s true emotional state. This raises concerns for the reliability of such models in real-world applications, where robustness and fairness are critical. In this work, we explore the limitations of current VLMs in emotionally ambiguous scenarios and propose a method to overcome contextual bias. Existing VLM-based captioning solutions tend to overweight background and contextual information when determining emotion, often at the expense of the individual’s actual expression. To study this phenomenon, we created synthetic datasets by automatically extracting people from the original images using YOLOv8 and placing them on randomly selected backgrounds from the Landscape Pictures dataset. This allowed us to reduce the correlation between emotional expression and background context while preserving body pose. Through discriminative analysis of VLM behavior on images with both correct and mismatched backgrounds, we find that in 93% of the cases, the predicted emotions vary based on the background—even when models are explicitly instructed to focus on the person. To address this, we propose a multimodal approach (named BECKI) that incorporates body pose, full image context, and a novel description stream focused exclusively on identifying the emotional discrepancy between the individual and the background. Our primary contribution is not just in identifying the weaknesses of existing VLMs, but in proposing a more robust and context-resilient solution. Our method achieves up to 96% accuracy, highlighting its effectiveness in mitigating contextual bias. Full article
(This article belongs to the Special Issue Feature Papers in Artificial Intelligence)
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25 pages, 9720 KiB  
Article
ICESat-2 Water Photon Denoising and Water Level Extraction Method Combining Elevation Difference Exponential Attenuation Model with Hough Transform
by Xilai Ju, Yongjian Li, Song Ji, Danchao Gong, Hao Liu, Zhen Yan, Xining Liu and Hao Niu
Remote Sens. 2025, 17(16), 2885; https://doi.org/10.3390/rs17162885 - 19 Aug 2025
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Abstract
For addressing the technical challenges of photon denoising and water level extraction in ICESat-2 satellite-based water monitoring applications, this paper proposes an innovative solution integrating Gaussian function fitting with Hough transform. The method first employs histogram Gaussian fitting to achieve coarse denoising of [...] Read more.
For addressing the technical challenges of photon denoising and water level extraction in ICESat-2 satellite-based water monitoring applications, this paper proposes an innovative solution integrating Gaussian function fitting with Hough transform. The method first employs histogram Gaussian fitting to achieve coarse denoising of water body regions. Subsequently, a probability attenuation model based on elevation differences between adjacent photons is constructed to accomplish refined denoising through iterative optimization of adaptive thresholds. Building upon this foundation, the Hough transform technique from image processing is introduced into photon cloud processing, enabling robust water level extraction from ICESat-2 data. Through rasterization, discrete photon distributions are converted into image space, where straight lines conforming to the photon distribution are then mapped as intersection points of sinusoidal curves in Hough space. Leveraging the noise-resistant characteristics of the Hough space accumulator, the interference from residual noise photons is effectively eliminated, thereby achieving high-precision water level line extraction. Experiments were conducted across five typical water bodies (Qinghai Lake, Long Land, Ganquan Island, Qilian Yu Islands, and Miyun Reservoir). The results demonstrate that the proposed denoising method outperforms DBSCAN and OPTICS algorithms in terms of accuracy, precision, recall, F1-score, and computational efficiency. In water level estimation, the absolute error of the Hough transform-based line detection method remains below 2 cm, significantly surpassing the performance of mean value, median value, and RANSAC algorithms. This study provides a novel technical framework for effective global water level monitoring. Full article
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15 pages, 1300 KiB  
Article
Optimizing Motion Management and Baseline Shifts in Magnetic Resonance-Guided Spine Stereotactic Body Radiation Therapy
by Yao Ding, Travis C. Salzillo, Debra N. Yeboa, Martin C. Tom, Zhiheng Wang, Parmeswaran Diagaradjane, Ergys Subashi, Jinzhong Yang, Todd Swanson, Thomas Beckham, Chenyang Wang, Amol J. Ghia, Tina Briere, Jihong Wang, Fabienne Lathuilière, Sneha Cloake and Eun Young Han
Cancers 2025, 17(16), 2697; https://doi.org/10.3390/cancers17162697 - 19 Aug 2025
Viewed by 123
Abstract
Background: Stereotactic body radiation therapy (SBRT) has proven effective in controlling spinal lesions with minimal toxicity, primarily due to its ability to limit spinal cord dose. Recent advances in MR-linac (MRL) technology offer superior spinal cord visualization and real-time gating, which can facilitate [...] Read more.
Background: Stereotactic body radiation therapy (SBRT) has proven effective in controlling spinal lesions with minimal toxicity, primarily due to its ability to limit spinal cord dose. Recent advances in MR-linac (MRL) technology offer superior spinal cord visualization and real-time gating, which can facilitate dose escalation in spinal tumor treatment while maintaining safety. Purpose: This study aimed to optimize motion management for spine SBRT on an MRL by analyzing patient-specific motion dynamics and evaluating the most effective registration structures. We hypothesized that baseline shifts (BLS) would improve delivery efficiency while maintaining spinal cord dose constraints. The goal was to establish displacement thresholds and assess the role of baseline shift correction adaptative planning in improving treatment delivery efficiency. Methods: Twelve patients underwent two MRI sessions on the MRL. The optimal registration structure was identified, and intrafraction motion was assessed to calculate delivery efficiency. Baseline shift (BLS) simulations were applied for five cases that showed significant motion and suboptimal delivery efficiency, and the dosimetric impact of the BLS was evaluated. The simulated BLS-based plan adaptation was implemented via a segment aperture morphing adapt-to-position workflow. Results: The most stable registration structure was the spinal canal plus three adjacent vertebrae. Cine imaging revealed average intrafraction motion (95th to 5th percentiles) of 0.8 ± 0.5 mm in the right-left (RL) direction, 0.9 ± 0.6 mm in the anterior–posterior (AP) direction, and 0.7 ± 0.5 mm in the SI direction. Simulated BLS improved delivery efficiency to >80% in all but one case, with a ±1 mm displacement threshold tolerance. While target coverage remained consistent after BLS simulation, the spinal cord dose increased by 7–60%, exceeding the 14 Gy constraint in three of the five simulated cases. Conclusions: Cine imaging and BLS can enhance delivery efficiency in spine SBRT but may increase spinal cord dose. These findings underscore the need for careful patient selection, advanced motion management, and patient-specific BLS protocols. Full article
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12 pages, 1083 KiB  
Article
Obesity and COVID-19: Pathophysiological Insights and Pulmonary Complications in a Retrospective Cohort Study
by Cristina Stefania Dumitru, Raul Patrascu, Alexia Manole, Ionut Dragos Capraru, Fira-Mladinescu Corneluta, Felicia Manole, Dorin Novacescu and Flavia Zara
Biomedicines 2025, 13(8), 2009; https://doi.org/10.3390/biomedicines13082009 - 18 Aug 2025
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Abstract
Background/Objectives: Obesity is a major modifier of COVID-19 outcomes, contributing to increased disease severity and complications. This study aimed to assess the impact of obesity on clinical severity, pulmonary involvement, and in-hospital mortality among COVID-19 patients and to identify independent predictors of [...] Read more.
Background/Objectives: Obesity is a major modifier of COVID-19 outcomes, contributing to increased disease severity and complications. This study aimed to assess the impact of obesity on clinical severity, pulmonary involvement, and in-hospital mortality among COVID-19 patients and to identify independent predictors of severe disease. Methods: We conducted a retrospective cohort study of 3005 hospitalized adults with RT-PCR-confirmed COVID-19 between 1 January 2020 and 1 March 2023. Patients were stratified by obesity status (body mass index (BMI) ≥ 30 kg/m2). Clinical, comorbidity, imaging, and laboratory data, as well as vaccination status (vaccinated or unvaccinated), were collected. Multivariate regression and gradient boosting models were used to identify predictors of severe outcomes. Effect estimates are expressed as relative risks (RRs) with 95% confidence intervals (CIs). Results: Obese patients (n = 894) showed significantly higher rates of severe COVID-19 (31.7% vs. 22.4%, p < 0.001) and more extensive lung damage (>50% involvement: 27.9% vs. 22.0%, p < 0.001), with lower admission SpO2 (92.1 ± 4.0% vs. 94.2 ± 3.2%, p < 0.001). Hypoxemia (SpO2 < 90%) was more frequent in obese individuals. The relative risk (RR) for severe disease was 1.41 (95% CI 1.25–1.60), and for >50% lung involvement, it was 1.27 (95% CI 1.11–1.45). Age > 65 years was the strongest predictor of mortality, particularly in non-obese patients. Gradient boosting models outperformed logistic regression (AUC = 0.92 vs. 0.87). Conclusions: Obesity independently predicts severe COVID-19 and pulmonary impairment. These findings support obesity-based risk stratification for clinical management and public health interventions. Full article
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