Search Results (10,094)

Transport is a fundamental component of equestrian training and competition. However, even horses with extensive transport experience may exhibit physiological stress responses during routine travel. This case report describes physiological stress responses in a transport-experienced 10-year-old Belgian Warmblood gelding subjected to repeated, standardized short-distance transport. The horse was transported on 17 occasions along a fixed route to a riding school for dressage training using the same vehicle, handler, and protocol to minimize environmental variability. Physiological stress markers were assessed using continuous heart rate monitoring and salivary cortisol sampling at standardized time points before, during, and after each transport and training session. Salivary cortisol concentrations increased during transport and remained slightly elevated relative to preloading reference values throughout the transport–training–return sequence. Heart rate was elevated relative to typical resting values prior tooading, peaked during training, and remained moderately elevated during subsequent transport phases. Longitudinal visualization across repeated transport events revealed a gradual decline in cortisol concentrations after approximately ten transport events, suggestive of partial physiological habituation. However, the occurrence of a physiological outlier during the fifth transport event underscores that even in experienced horses, acute stress responses can occur independently of the general habituation trend. These findings indicate that repeated short-distance transport can elicit measurable physiological stress responses in transport-experienced horses and that habituation may be incomplete despite standardized conditions and familiarity with the procedure. Taken together, these results challenge the assumption that routine transport is minimally stressful, highlighting the importance of individualized transport management, adequate recovery periods, and ongoing welfare monitoring. Full article

Ankle–foot orthoses (AFOs) are widely used in the rehabilitation of patients with neurological or musculoskeletal disorders. However, treatment outcomes may be influenced by incorrect use of the device or by inappropriate orthosis selection. Since many types of AFOs are available, differing in materials, stiffness, and geometry, an objective evaluation tool can support clinical decision-making. This work presents the design, development, and characterization of an instrumented AFO able to quantify relevant gait parameters in an objective way. The proposed device integrates three measurement modalities in a compact wearable structure. Two longitudinal strain gauges estimate ankle plantar- and dorsiflexion angles. Two force-sensitive elements detect foot–ground contact and allow identification of stance and swing phases of the gait cycle. A single inertial measurement unit (IMU) is used to measure lateral shank inclination. The strain-gauge-based angle estimation was validated against a gold-standard motion capture system, achieving a root mean square error of approximately 1.6 degrees and showing higher accuracy than the IMU for plantar/dorsiflexion measurement, while maintaining a simple electronic architecture. The force sensors were validated using a force platform and demonstrated reliable detection of loading and unloading events. Monitoring lateral inclination through the single IMU provides additional information related to balance and potential fall risk. Data are transmitted via Bluetooth Low Energy (BLE) to a custom Python-based application for real-time visualization and recording. Overall, the results validate the electronic instrumentation and demonstrate reliable system performance, indicating that the proposed instrumented AFO represents a promising platform for objective gait assessment and future clinical applications. Full article

Background: Mixed Reality (MR) environments rely on multimodal feedback to enrich sensory integration and realism, which enhances User Experience (UX). Prior studies have shown the benefits of haptic feedback in audio–visual MR medical training environments, but researchers have not fully examined how audio cues influence Haptic–Visual (HV) training environments. Methods: We built a high-fidelity MR medical training environment that synchronized visual, haptic, and audio of the human pulse. We conducted a between-subjects study with thirty novice participants who performed pulse palpation tasks in HV and Haptic–Audio–Visual (HAV) modalities. We employ a multidimensional UX evaluation by measuring task performance, presence, usability, and task workload to assess the impact of adding audio feedback in MR pulse palpation training environments. Results: Participants in the HAV modality performed tasks more accurately and reported stronger presence and higher usability. They did not report any significant increase in workload compared to the HV modality. Conclusions: Audio feedback improved perceptual coherence and enhanced UX in pulse palpation tasks. Our findings highlight the training value of integrating multimodal feedback in MR pulse palpation training systems and provide practical guidelines for designing more immersive and effective MR environments. Full article

Background/Objectives: To determine the optimal reconstruction parameters for accurate visualization of peripheral in-stent restenosis using photon-counting detector CT (PCD-CT), and to evaluate its potential advantages over energy-integrated detector CT (EID-CT). Methods: Endovascular peripheral stents with varying degrees of in-stent restenosis were scanned in a custom-made phantom using EID-CT (Somatom Force) and PCD-CT (Naeotom Alpha) under clinical acquisition protocols. EID-CT images were reconstructed with Bv40 and Bv59 kernels at 512 matrices. PCD-CT data were acquired in standard-resolution (SR) and ultra-high-resolution (UHR) modes. In both modes, images were reconstructed with multiple kernels (Bv40, Bv56 and Bv72) and matrix sizes (512 and 1024 matrix). In SR mode, additional virtual monoenergetic images (40–100 keV) were generated, while UHR mode included only polychromatic reconstructions. Quantitative image quality (noise, contrast, contrast-to-noise ratio [CNR]) was measured, and two blinded readers performed qualitative assessments of restenosis visualization. Results: PCD-CT with SR mode at VMI 40 keV achieved the highest image contrast and CNR, significantly outperforming EID-CT and PCD-CT_UHR under matched conditions (all p < 0.05). The sharper reconstruction kernel further enhanced the image contrast and improved subjective visualization despite increased image noise. Both readers ranked PCD-CT_{SR-Bv72-40keV} at 1024 matrix highest for detecting all degrees of restenosis, with excellent inter-reader agreement (ρ > 0.80). Conclusions: PCD-CT in SR mode at VMI 40 keV, specifically using the Bv72 kernel with a 1024 matrix, optimizes the visualization of peripheral in-stent restenosis. Compared to EID-CT, PCD-CT provides superior image quality and detectability of restenosis. Full article

This work presents an experimental aerodynamic study of a Mars rover model, aimed at characterizing its flow behavior under Martian environmental conditions. Due to the extremely low Reynolds numbers associated with Mars’ thin atmosphere, the experiments were conducted using a scaled model of the rover manufactured via additive techniques. The study first focuses on understanding how the geometry of the rover influences the overall flow field, identifying key aerodynamic features such as separation zones, vortical structures, and flow reattachment regions driven by the complexity of the vehicle. A comprehensive investigation of the flow around the model was performed using both a hydrodynamic towing tank with dye injection for qualitative visualization, and particle image velocimetry (PIV) for quantitative flow field analysis in wind tunnel tests. After the general flow characterization, a more detailed local analysis was conducted using laser Doppler anemometry (LDA). This phase of the study targeted precise velocity measurements at specific locations corresponding to the MEDA (Mars Environmental Dynamics Analyzer) wind sensors onboard the rover. Quantitative results indicate that the central body induces a local flow acceleration of 20% to 40% relative to the free stream while severe turbulence was recorded in specific angular sectors, with velocity fluctuations reaching up to 120% for Sensor 1 and 90% for Sensor 2. Full article

Background/Objectives: Macular pigment optical density (MPOD) represents a biomarker of retinal antioxidant status in intermediate age-related macular degeneration (iAMD). Strategies aimed at increasing macular carotenoid availability may contribute to disease stabilization. This study evaluated the effects of oral supplementation and transscleral iontophoresis on MPOD and retinal parameters in iAMD. Methods: This prospective, non-randomized pilot study included 60 eyes of 60 patients with intermediate AMD enrolled at the Eye Clinic of the University of Naples Federico II between July 2024 and May 2025 (ClinicalTrials.gov NCT06465342). Patients received either oral carotenoid supplementation (n = 30) or transscleral iontophoresis (n = 30). Best-corrected visual acuity (BCVA), central macular thickness (CMT), and MPOD measured by one-wavelength reflectometry ( Visucam 200; Carl Zeiss Meditec, Jena, Germany) were assessed at baseline and 6 months. Results: BCVA remained stable in both groups without significant changes (p > 0.05). MPOD significantly increased in the iontophoresis group (0.40 ± 0.11 to 0.49 ± 0.12, p < 0.001) with no statistically significant difference between them (p = 0.09). CMT showed a mild, non-significant increase in both groups (p > 0.05). No adverse events were observed. Conclusions: Both oral supplementation and transscleral iontophoresis were associated with a significant increase in MPOD while preserving visual acuity in intermediate AMD. Within the limitations of this non-randomized pilot study, transscleral iontophoresis produced MPOD changes comparable to those observed with oral supplementation. These findings are exploratory and support further investigation of localized delivery strategies in larger, randomized trials. Full article

Background: Robot-assisted laparoscopic radical prostatectomy (RALP) requires prolonged steep Trendelenburg positioning, which increases intraocular and intracranial pressure. Although transient visual field defects have been documented after RALP using objective perimetric testing, data on patient-reported visual outcomes remain limited. We hypothesized that intraoperative optic nerve sheath diameter (ONSD) measurements and hemodynamic variables would be associated with postoperative patient-reported visual symptoms. Methods: This prospective, single-center observational cohort study enrolled consecutive adult patients undergoing RALP between March and September 2023 at Ospedale Santo Stefano, Prato, Italy. Patients with pre-existing glaucoma, ocular disease, or intracranial hypertension were excluded. Intraoperative ONSD was measured by transorbital ultrasound at three time points: before Trendelenburg (t1), 30 min after Trendelenburg (t2), and at end of Trendelenburg (t3). Postoperative visual symptoms were assessed at ≥1 month follow-up using the validated Catquest-9SF questionnaire. Rasch analysis converted ordinal responses to interval-level measures. Logistic regression explored associations between visual complaints and intraoperative predictors (Rasch scores, lowest mean arterial pressure [MAP], maximum ONSD). Results: Fifty-five patients were enrolled. Six patients (10.9%) reported new subjective visual symptoms at follow-up. Rasch-transformed scores were associated with the presence of these symptoms (coefficient 1.38; p < 0.05). Lowest intraoperative MAP (p = 0.081) and maximum ONSD (p = 0.811) did not reach statistical significance as independent factors. Conclusions: Patient-reported visual symptoms occurred in approximately 11% of patients after RALP. Postoperative Rasch-transformed visual function scores correlated with these complaints. While intraoperative ONSD was not associated with visual outcomes, the potential role of intraoperative hypotension requires further investigation in larger, powered cohorts. Full article

Diaporthe spp. are among the most serious pathogens of soybean. Many different Diaporthe species can infect soybean plants. The species differ in their aggressiveness or virulence and in the severity of the damage they cause. Resistance breeding in soybean has been performed for only two Diaporthe species, so far. It would be very advantageous to identify soybean cultivars with resistance against other Diaporthe species as well, both as sources of resistance for breeding and to inform farmers which cultivars should be planted when a given Diaporthe species shows high incidence. We performed greenhouse experiments to differentiate levels of resistance using the Stem Cut and Stem Wound methods for inoculation of the plants with Diaporthe. Symptom severity was rated visually, and at 5 dpi the level of lipid peroxidation (LP), activity of superoxide dismutase (SOD), total phenolics and total flavonoids were measured. Among the four Diaporthe species tested, D. caulivora was most aggressive, followed by D. longicolla. Of the cultivars evaluated, Magnolia exhibited the highest level of resistance with no significant differences observed among the other cultivars. Although biochemical responses could be observed, it was impossible to determine the specific response responsible for elevated resistance in Magnolia. Full article

Automated detection of defects in welds are inevitable in the assurance of structural integrity, but this faces serious challenges due to the microscopic characteristics of the discontinuities, low visual contrast and infrequent occurrence of defect samples. Conventional deep learning methods, while accurate, often lack interpretability and exhibit low recall for rare defects. This paper proposes a novel hybrid system combining a Generative Adversarial Network (GAN), a Convolutional Neural Network (CNN), and Extreme Gradient Boosting (XGBoost 2.0.0) to enhance weld defect classification performance and transparency. Firstly, a Deep Convolutional GAN (DCGAN) creates synthetic images of the minority classes; thus, the problem of class imbalance is resolved. Then, a pretrained ResNet50V2 CNN is used to extract features of the deep layers from the original images as well as from the generated ones. After that, these features are fed into an XGBoost classifier, which uses tree-based learning to optimize classification results and make the process more understandable to the user. Furthermore, interpretation is also facilitated by Grad-CAM rendering of the CNN regions of interest and SHAP analysis to measure the involvement of the features in XGBoost. Experiments using the available LoHi-WELD datasets show that the overall accuracy is significantly improved, the per-class recall of the rare defects is also enhanced, and the robustness is also improved. The proposed hybrid method not only achieves better results but also generates visual/explainable output, which is very valuable when the system is implemented in industrial welding inspection systems. This paper serves as a liaison between the latest AI technology and the practical interpretability requirements of the mechanical and welding engineering fields. Full article

Permanent magnet synchronous motors (PMSMs) have been widely used in new-energy vehicles and industrial servo systems. However, demagnetization faults (DMFs) can lead to severe issues, including torque ripple and magnetic field distortion. This paper proposes an intelligent diagnostic approach for DMFs based on stator tooth flux (STF). A mathematical model of STF is formulated, and the magnetic flux change is measured using multiple sets of anti-series-connected detection coils (DCs). By combining finite element simulation with signal processing technology, we establish a comprehensive diagnostic system covering fault feature extraction, fault location identification, and severity assessment is established. The proposed method employs wavelet transform (WT) to extract time-frequency features of voltage signals and combines it with a convolutional neural network (CNN) to form the WT-CNN intelligent diagnosis model. Based on the extracted voltage signal features, the method achieves intelligent identification and visual localization of DMFs. Simulation results show that the proposed method achieves an accuracy above 80% for fault location identification (defined as sample-level multi-label classification accuracy across 12 PMs) and above 85% for demagnetization severity estimation (defined as classification accuracy across 9 severity degrees from 10% to 90%). These results provide an effective technical foundation for motor condition monitoring and fault early warning in simulation environments. Full article

Welders constitute an occupational group that is particularly exposed to high-risk hazards arising from harmful radiation emitted during welding, including ultraviolet (UV) and infrared (IR) radiation, as well as visible (VIS) radiation, whose high intensity causes glare. Effective protection of the eyes and face is provided by welding shields equipped with automatic welding filters (AWFs), which activate automatically upon arc ignition. Their switching time is the most important protective parameter, as it has a direct impact on the user’s visual health. The objective of the work is to present a novel test stand for determining AWFs switching and holding times, which provides advanced possibilities for evaluating all types of AWFs. Until now, performance and safety levels have been determined based on numerical values: switching time and hold time. For the first time, it is possible to analyze the darkening and clearing phenomena over time with an interpretation of graphical results. Importantly, it is possible to analyze the symmetry of filter properties, using two measurement channels, which is crucial for binocular and curved (panoramic) AWFs. The results obtained for two types of AWFs mounted in goggles with a one-piece and a binocular visor differ from each other. Switching time differences between the left and right measurement channels were about 6–7% for the one-piece visor goggles (G1) and about 3–4% for the binocular goggles (G2). The dispersion of results confirmed the importance of the two measurement channels, which was not previously practiced. The test stand, designed in accordance with the requirements of the new European standards (EN ISO 18526-2:2020, EN ISO 16321-2:2021), can be used for prototyping and for AWF certification purposes. Full article

Multi-window map interfaces are widely used in geospatial monitoring systems and map-based analytical environments, where users must rapidly locate task-relevant information across multiple spatial displays. Designing visual cues and display conditions that effectively support visual search in such environments remains an important challenge for map interface design. This study examines how luminance contrast and highlighting influence visual search performance in multi-window map interfaces. A within-subject eye-tracking experiment was conducted using five highlighting conditions (No Highlighting as the control condition, Outer Border Highlighting, Text Highlighting, Title-Bar Highlighting, and Background Highlighting) and three luminance-contrast levels (low, medium, and high). Behavioral performance (accuracy and reaction time) and eye-movement measures (total viewing duration, fixation count, saccade count, and time to first fixation) were analyzed to evaluate how perceptual visibility and visual cue structures affect spatial information search. Results show that higher luminance contrast improved accuracy and reduced reaction time, although differences between medium and high contrast were small, suggesting that performance stabilized once a sufficient visibility threshold was reached. All highlighting conditions facilitated search relative to the control condition, with background and title-bar highlighting producing the most efficient gaze behavior and earlier target acquisition. A significant interaction between luminance contrast and highlighting was also observed, indicating that structured highlighting mitigates the performance costs associated with low contrast. Eye-movement evidence further indicates that region-based cues guide attention at the level of spatial interface regions rather than simply increasing local salience. These findings provide empirical guidance for improving spatial information retrieval efficiency in multi-window geospatial interfaces. Full article

Background: Sensor-based systems and virtual reality (VR) technologies provide new opportunities for the objective, technology-driven assessment and training of visuomotor performance in applied contexts such as sport. Methods: This study examined the effects of an integrated visual training program combining stroboscopic stimulation, VR-based vergence exercises, and instrumented reaction-light tasks in adolescent handball players. Twenty-eight adolescent handball players (under-18 competitive level) completed two baseline assessments separated by six weeks, followed by a six-session training program (approximately 15 min per session) integrated into regular team practice. The intervention targeted visuomotor reaction speed, accommodative dynamics, and peripheral visual responsiveness using sensor-based and virtual reality–assisted stimuli. Results: Compared with both baseline measurements, the intervention produced selective improvements in accommodative facility (cycles per minute, cpm)—particularly near–far focusing speed—and in multiple reaction-time conditions (milliseconds, ms) involving manual and decision-based responses. Specific peripheral-field locations showed increased response scores, whereas binocular alignment, AC/A ratio, near phoria, and stereoscopic acuity remained unchanged. Conclusions: These findings indicate that technology-supported visual training protocols incorporating sensor-based reaction systems and VR stimuli were associated with measurable adaptations in dynamic visuomotor processing while preserving fundamental binocular vision parameters. Full article

Corneal scarring is a result of unregulated fibrotic processes in wound healing, which causes visual impairment. Bioactive sphingolipids (SPLs) are known to modulate physiological processes that are central to wound healing. Of these bioactive SPLs, sphingosine-1-phosphate (S1P) is perhaps the most studied. Previous research has shown that knocking out sphingosine kinase 1 (Sphk1), which produces S1P, alters SPL species metabolism and improves wound healing in mice corneas. However, it is unknown how SphK1 knockout (SphK1^-/-) affects SPL metabolism during stages of corneal wound healing. Following an alkali burn procedure on wild-type (WT) and SphK1^-/- mice, corneal lipidomic profiles in unburned corneas at 1, 7, 14, and 28 days post-injury (DPI) were measured. Significant differences in SPL species between genotypes, both in uninjured mouse corneas and during distinct stages of corneal burn healing, were observed. WT mice expressed burn healing stage-dependent modulation of SPL species, with decreased expression of most SPL species observed at 1 and 14 DPI. Interestingly, this wild-type SPL modulation was absent in most measured SPL species in the SphK1^-/- corneas. These findings provide evidence for a previously unknown modulatory role of SphK1 and S1P on the expression of SPLs during corneal wound healing. Full article

The use of Bohmian mechanics as a practical tool for modeling non-relativistic quantum phenomena of matter provides clear evidence of its success, not only as a way to interpret the foundations of quantum mechanics, but also as a computational framework. In the literature, it is frequently argued that such a realistic view—based on deterministic trajectories—cannot account for phenomena involving the “creation” and “annihilation” of photons. In this paper, by revisiting and rehabilitating earlier proposals, we show how quantum optics can be modeled using Bohmian trajectories for electrons in physical space, together with well-defined electromagnetic fields evolving in time. By paying special attention to an experimental scenario demonstrating partition noise for photons, and to how the Born rule emerges in this context, the paper pursues two main goals. First, it validates the use of this simple Bohmian framework for pedagogical and computational purposes in understanding and visualizing quantum electrodynamics phenomena. Second, given that measurements are ultimately indicated on matter pointers, it clarifies what it means to measure photon or electromagnetic-field properties, even when they are considered non-ontic elements. Full article