Search Results (910)

Background/Objectives: Cardiomyopathy (CM) is a leading cause of morbidity and mortality in Duchenne muscular dystrophy (DMD) patients. Ferroptosis, an iron-dependent form of cell death characterized by lipid peroxidation, is implicated in various cardiovascular diseases. However, the role of ferroptosis in DMD-CM remains unexplored. Methods: Here, we used dystrophin and utrophin double-knockout (mdx:utr^−/−) mice as a model that exhibits cardiac pathological phenotypes similar to those seen in DMD patients to investigate the potential role of ferroptosis. Results: We observed an increased level of iron deposition and lipid peroxidation in the hearts of mdx:utr^−/− mice. Live/Dead viability assays revealed that mdx:utr^−/− cardiomyocytes exhibited greater susceptibility to ferroptosis than WT cardiomyocytes both at baseline and upon exposure to ferroptosis inducers. We also used mdx:utr^−/− mice with a heterozygous sarcolipin (SLN) knockout background (sln^+/−) to investigate the effect of SLN reduction on ferroptosis susceptibility in DMD-CM. Notably, ferroptosis was significantly suppressed in cardiomyocytes from mdx:utr^−/−:sln^+/− mice (p < 0.01). Western blot analysis confirmed the upregulation of transferrin receptor 1 (TfR1) and 15-lipoxygenase-1 (15LOX1), along with the downregulation of heme oxygenase-1 (HMOX-1) and ferroptosis suppressor protein 1 (FSP1) in mdx:utr^−/− hearts, while glutathione peroxidase 4 (GPX4) levels remained unchanged. A similar pattern of alterations in ferroptosis-related biomarkers was observed in human heart samples from DMD patients compared to healthy controls. Conclusions: Our results provide direct evidence that ferroptosis contributes to the pathology of DMD-CM and suggest that reducing SLN expression and inhibiting ferroptosis may represent potential therapeutic strategies for this condition. Full article

As a widely used display device, the effective display area of a digital micromirror device (DMD) is limited by its micromirror count and pitch, which cannot meet large-format target-plane display requirements. This paper proposes a large-format scene simulation system based on multi-DMD optical stitching, and uses an optical relay to overcome the inability to directly tile DMDs because of their package frames. By constructing a DMD display architecture comprising an illumination module, a relay module, a stitching module, and a projection module, the system quadruples the effective display area relative to a single DMD without sacrificing frame rate. Design results show that the system achieves an MTF greater than 0.5 at 50 lp/mm, with near-diffraction-limited performance; the RMS spot radius is less than 10 $\mathsf{\mu }$m. All key indicators meet application requirements. Full article

Lunar dark mantle deposits (DMDs), formed by explosive volcanic activity on the Moon, are typically composed of glass- and iron-rich pyroclastic materials, with slight variations in color, crystallinity, and TiO₂ concentration by region. This paper proposes a method for identifying DMDs using the YOLOv8 deep learning model, enhanced by the introduction of a multi-scale feature extraction (MSFE) module with an attention mechanism, which improves the model’s ability to detect targets at different scales. First, a DMD dataset was constructed using Lunar Reconnaissance Orbiter (LRO) data, with manual annotations of DMD regions and lunar image slicing to optimize computational efficiency. The YOLOv8 architecture, with the incorporated MSFE module, was then used to improve model accuracy in complex terrain. The experimental results showed that the improved DM-YOLO model achieved a precision (P) of 83.9%, a recall (R) of 83.2%, and a mean average precision (mAP@0.5) of 84.2%, representing increases of 15.2%, 14.4%, and 14.0%, respectively, over those obtained with the original YOLOv8 model. The predicted results were preliminarily verified using FeO abundance data and further confirmed by analysis of M³ spectral absorption features, showing strong consistency with known DMDs in terms of both chemical composition and mineralogical characteristics. Observations showed that DMDs were located primarily in the low- and mid-latitude regions of the Moon, with most deposits found in the lunar highlands. The findings suggest that the DM-YOLO model has significant potential for providing technical support for lunar exploration and resource development, particularly for identifying small-scale features that are difficult to annotate. Full article

Sweeping jet actuators (SJAs) are promising for active flow control in aerospace systems, but integrating actuator-resolved unsteady CFD into full-configuration simulations is often impractical due to small geometric scales and $\mathcal{O}({10}^2)$ Hz oscillations that demand fine grids and small time steps. This work develops a reduced-order modeling (ROM) framework to generate time-resolved boundary conditions at the actuator exit from SJA flow data. Dynamic mode decomposition (DMD) is particularly attractive for this purpose because it provides a linear, data-driven input–output representation of the actuator effect, even though it does not explicitly model the underlying nonlinear switching mechanism. We introduce an eigenvalue-sorted dynamic mode decomposition (ES-DMD) method that performs stability-aware mode ranking based on the discrete-time DMD eigenvalues, prioritizing modes with $\Re (\lambda )$ closest to unity to retain near-neutrally stable oscillatory dynamics, improving robustness relative to conventional amplitude-based selections for high-frequency oscillatory flows. The method is evaluated across multiple operating conditions, with detailed analysis performed for the highest mass-flow case ($\dot{m}=0.01$ lb/s), representing the most dynamically demanding condition considered. Across multiple operating conditions, ES-DMD yields consistent reconstructions of the dominant switching dynamics. For one-dimensional exit-plane profiles, combining ES-DMD with time-delay embedding enables accurate reconstruction and multi-period prediction using only 20 modes (7.6% of the full system rank). The proposed approach provides a practical pathway to incorporate unsteady SJA effects into large-scale aerospace CFD through compact, predictive boundary-condition models. Full article

Ultrafast laser processing is constrained by an inherent throughput–resolution trade-off, typically addressed either by high-speed single-beam scanning or by parallel processing approaches. Here, a scanning-based dynamic mask projection concept is presented, combining both strategies by integrating a digital micromirror device (DMD) for dynamic binary amplitude mask generation with galvanometric scanning for high-speed lateral repositioning of the projected pattern. A high-numerical-aperture microscope objective is used to project the mask for thin film laser ablation with sub-micrometer feature sizes, while scanning extends the processing area beyond a single projected pattern, ultimately limited by the objective’s field of view. The concept is demonstrated by selective single-pulse pattern ablation of 10 nm thick tantalum nitride (TaN) thin films on glass substrates using 230 fs pulses at a center wavelength of 515 nm. The optical system enables a 770 nm minimum feature size across a scan field with an area-equivalent circular diameter of 550 µm. Dynamic mask projection combined with fast scanning offers a scalable route to high-throughput laser nanoprocessing and is relevant to fabrication and processing of nanomaterials, digital mask lithography, and micro- and nanomachining. Full article

Muscle degeneration is the hallmark of muscular dystrophies—genetically heterogeneous disorders traditionally approached through the lens of molecular pathogenesis or symptomatic management in isolation. Here, we present a deliberately interdisciplinary synthesis that bridges molecular genetics, clinical phenotyping, and evidence-based orthopedic decision-making to address a significant critical gap: the lack of genotype-informed, function-oriented frameworks for musculoskeletal complications. We re-evaluate disease entities—not only by their molecular etiology (e.g., DMD, LMNA, DUX4 dysregulation), but through the prism of orthopedic manifestations as diagnostic gateways and therapeutic milestones. For instance, early rigid spine in LMNA-related dystrophy is not merely a sign of contracture, but a red flag demanding cardiac risk stratification before surgical planning, in alignment with current consensus. Similarly, scoliosis management in Duchenne muscular dystrophy is discussed through quantitative decision thresholds (Cobb angle ≥ 20–30°, FVC ≥ 30–35%) derived from long-term outcome studies, rather than general clinical recommendations. Critically, we confront challenges posed by disease-modifying therapies: patients now survive into their 30s and 40s, yet develop novel, therapy-exacerbated orthopedic phenotypes (e.g., steroid-induced osteoporosis, atypical spinal rigidity). Therefore, we argue that precision orthopedics—tailored surveillance, genotype-stratified intervention timing (e.g., D4Z4 repeat-guided monitoring in FSHD, and realistic functional goal-setting (e.g., scapular arthrodesis for overhead function)—should become the gold standard of care. For example, desminopathies may show marked phenotypic variability even within the same mutation. Our review thus serves not only as a molecular overview, but as a practical roadmap for neurologists, geneticists, orthopedic surgeons, and rehabilitation specialists seeking to translate genomic insights into durable functional outcomes. Full article

Objectives: This study aims to assess the prevalence of complications and failures associated with impacted canine eruption in a specialized referral center, with the goal of identifying factors that contribute to these outcomes. Methods: This retrospective cohort study included cases of impacted canines treated at the School of Dental Medicine between 2010 and 2020. Clinical and radiographic data were collected and evaluated for failures and complications by two independent clinicians (MK, MG). In addition, specialists in oral and maxillofacial surgery and orthodontics (YM, TS, NS) independently assessed all complications and failures. Results: Among the 214 impacted maxillary canines included, 23 (10.7%) failed to erupt following initial surgical–orthodontic treatment and required re-intervention. Eruption difficulty was attributed to orthodontic factors in 43.5% of cases, surgical factors in 13.0%, and combined factors in the remainder. Following a second procedure, 15 canines erupted successfully, while 8 did not, resulting in an overall failure rate of 3.7%. Treatment failure was significantly associated with both anatomical and procedural factors. Canines with centrally positioned crowns exhibited a significantly higher failure rate than those with buccal or palatal positions (χ² test, p = 0.025). Failure was also more common when the canine root apex was located in close proximity to a cortical plate. Lateral incisor root resorption was significantly associated with treatment complications (p = 0.030). In the multivariable logistic regression analysis, root resorption remained an independent predictor of treatment failure, increasing the odds of failure approximately fourfold (OR = 0.255, CI = 0.077–0.843, p = 0.025). Timing and surgical technique were also significantly associated with treatment outcome. Surgical exposure performed shortly after diagnosis was linked to an increased risk of treatment complications (p = 0.006). Closed surgical exposure demonstrated a significantly higher failure rate compared with open exposure (Pearson exact test, p = 0.009). Although open exposure was associated with a greater likelihood of successful eruption, it was also significantly associated with increased gingival morbidity (Fisher’s test, p = 0.030). Conclusions: Failure of impacted maxillary canine eruption following combined surgical–orthodontic treatment is uncommon but is significantly associated with distinct anatomical and procedural risk factors. Central crown position, cortical plate involvement, lateral incisor root resorption, early surgical exposure, and the use of closed exposure techniques all increase the likelihood of treatment failure and complications. Although open exposure enhances the probability of successful eruption, it may also negatively affect gingival outcomes, underscoring the need for individualized, multidisciplinary treatment planning. Full article

Background/Objectives: Detecting Alzheimer’s disease (AD) from normal aging using eyes-open (EO) EEG is challenging due to stimulus-driven nonstationarity and fragmented oscillatory responses. This study aims to determine whether prototype-based representations derived from Dynamic Mode Decomposition (DMD) can improve AD detection from EO photostimulation EEG. Methods: We propose a DMD-based framework termed DMD-based Clustered Pattern Projection (DMD-CPP). Segment-wise DMD representations were clustered to learn class-specific medoid prototypes, and each EEG epoch was encoded as a vector of cosine-similarity coordinates with respect to these prototypes. A linear SVM classifier was trained on the resulting DMD-CPP features and evaluated under strict leave-one-subject-out validation. Results: The DMD-CPP model achieved competitive classification accuracy and, importantly, enhanced margin-based reliability. In EO photostimulation, AD versus healthy control classification showed a pronounced improvement, characterized by wider and more asymmetric decision margins, particularly assigning low confidence to normal epochs misclassified as AD. Tasks involving frontotemporal dementia also showed improvement, although the effect was less pronounced than for AD. Conclusions: Clustering-based pattern projection has been shown to stabilize EEG dynamics and provide an interpretable, confidence-aware feature representation. These findings suggest that DMD-CPP offers a promising framework for reliable AD detection from EO EEG, where conventional spectral methods typically struggle. Full article

Background: Efficient tissue preservation methods are critical for accurate and quantitative microscopical examination in histopathology. Quantitative image analysis and cell counts are essential to translational research with direct implications for therapeutic decision-making. This study aims to compare the histomorphological quality of formalin-fixed paraffin-embedded (FFPE) and fresh frozen sections (FFS) in terms of tissue recognizability, physical integrity, as well as cell counts of lymphocytes, granulocytes, giant cells, and blood vessels Methods: A total of 142 skin biopsies were analyzed, with 88 FFPE and 54 with FFS. The biopsies were stained with HE and ASD. The sections were evaluated for recognizability and physical appearance, and categorized as either clearly recognizable or indistinctly recognizable, and fully intact, folded, or torn. Suited high-power fields were identified to compare the number of different cell types between the two preservation techniques. Results: FFPE showed significantly higher morphological quality than FFS in maintaining both recognizability (88.64% vs. 44.44%, p < 0.001) and physical integrity, with more sections remaining fully intact (77.27% vs. 22.22%, p < 0.001). Additionally, paraffin sections showed higher counts of lymphocytes and blood vessels (both p < 0.001) with significant statistical differences. Conclusion: The findings suggest that FFPE provides superior tissue preservation compared to FFS, particularly in maintaining structural integrity and cellular detail. This study underlines the importance of choosing appropriate embedding techniques to optimize histological evaluations, especially in clinical settings where quantitative analyses are crucial. Full article

This study proposed a large-target-surface and high-frame-rate display method using multiple Digital Micromirror Devices (DMDs) for high-resolution, high-frame-rate aerospace applications. DMDs offer high frame rates and contrast ratios, but their surface size is constrained. By employing Pulse Width Modulation (PWM) with synchronization signals for grayscale modulation and synchronizing multiple DMDs, this method achieved a target surface four times larger than a single DMD at 400 Hz frame rate, with synchronization errors below 10 ns. This enhances simulation efficiency and provides an effective infrared scene simulation solution. Full article

Skeletal muscle injury triggers inflammatory response, of which the accumulation of intramuscular monocytes/macrophages is a prominent feature. Macrophages in injured muscle comprise both blood monocytes-derived infiltrating macrophages, which are recruited through CCR2 signaling, and pre-existing muscle resident macrophages, which are established during embryogenesis and maintained until adulthood through self-renewal proliferation. During regenerative acute muscle injury, infiltrating monocytes/macrophages are heterogeneously activated in a temporal dynamic, responding to the changing microenvironment in injured muscle and contributing to the complete injury repair. Injury-associated monocytes/macrophages recede with the completion of muscle injury repair. In contrast, injury-associated monocytes/macrophages persist in dystrophic muscle of Duchenne muscular dystrophy (DMD), likely accounting for persistent inflammation and progressive fibrosis of DMD muscle. We review here the current knowledge on monocyte/macrophage infiltration and activation in both acutely injured skeletal muscle and dystrophic muscle with subsequent discussion of the potential therapeutic implication in treating muscular dystrophy. Full article

The data-driven modeling of nonlinear dynamical systems using the Koopman operator has become a widely adopted framework for spectral analysis, prediction, and control. However, classical Koopman-based methods are typically restricted to observables defined on the system state at a single time instant, which limits their expressivity for systems exhibiting temporal correlations, memory effects, or multi-step interactions. In this work, we introduce a generalized linear mapping operator designed to establish the optimal linear relationship between two complex, trajectory-dependent observables defined over an extended state space that incorporates both past and future dynamics. By allowing heterogeneous input–output observable spaces, the proposed framework systematically captures temporal dependencies, coupled dynamics, and physically informed features, extending the applicability of Koopman-based data-driven modeling. Numerical experiments on benchmark systems, including the SIR epidemic model, a two-mass spring–damper system, and a forced harmonic oscillator, demonstrate improved reconstruction accuracy and spectral representation compared to standard approaches. In particular, the proposed method achieves relative reconstruction errors as low as $5.89\times {10}^{-5}$ for the SIR model and $8.96\times {10}^{-4}$ for the forced harmonic oscillator, representing improvements of several orders of magnitude over classical DMD and EDMD variants. These results confirm the robustness of the new framework in capturing complex nonlinear and transient dynamics. Full article

To investigate the evolution of impermeability and pore structure in concrete under long-term service, systematic tests were conducted on submerged concrete from dam sections with over 75 years of service. Results show that the surface water permeation resistance index of concrete in the downstream section of the main dam is only 9.19 × 10⁻⁹, significantly lower than that of concrete from the upstream of the main dam (UMD), downstream of the main dam (DMD), upstream of the auxiliary dam (UAD), and upstream of the weir (UW). Moreover, its impermeability improves noticeably within the 0–100 mm depth range. Mercury intrusion porosimetry revealed that the median pore diameter, average pore diameter, pore content, and porosity in this region reach 306.7 nm, 55.4 nm, 35.64%, and 3.961 mm, respectively—all markedly higher than in other dam sections. Combined XRD and SEM/EDS analyses indicate that crystallization pressure from saline solutions in the coastal environment, together with long-term carbonation, leads to structural loosening and increased porosity in the downstream concrete of the main dam, ultimately degrading its impermeability performance. Full article

Background: Although Duchenne muscular dystrophy (DMD) is primarily characterized as a skeletal muscle-wasting disorder, the resulting pathophysiological changes extend to multiple non-muscle tissues and organ systems. Among these, renal and urinary tract dysfunctions have been reported, albeit in relatively few studies, as potential complications in DMD patients, sometimes occurring from an early age. Importantly, as life expectancy improves, the incidence of renal impairment is also expected to increase. This narrative review summarizes the available evidence on kidney involvement in DMD and discusses the associated biomarkers of renal dysfunction within the context of multisystem disease progression. Methods: The review draws on data from both human and animal studies and analyzes published evidence to explore kidney involvement in DMD, with a focus on clinical manifestations, biomarkers of renal dysfunction, and potential pathogenic mechanisms. Results: Available data indicate a close association between cardiac and renal dysfunction, particularly in patients with advanced-stage DMD. The review explores potential underlying mechanisms of renal impairment, including intrinsic dystrophin deficiency in the kidney, secondary effects of cardiovascular complications, and the nephrotoxic impact of drug therapies, highlighting renal function as an active determinant of clinical risk. Conclusions: While cardiac function monitoring is already a cornerstone of multidisciplinary care for this multisystem disease, systematic assessment of renal function should also be implemented, with implications for clinical management and drug safety. Moreover, the risk of drug-induced nephrotoxicity warrants attention in both clinical management and the development of novel therapeutic strategies for DMD. Full article

Objectives: The molecular characterization of male breast cancer (MaBC) has long been understudied, primarily due to its rare occurrence. Clinical management of MaBC remains profoundly challenging, with current therapeutic strategies largely extrapolated from female breast cancer protocols. Methods: Through panel-based sequencing targeting BRCA1, BRCA2, and PALB2 variants, we delineated the genomic landscape of 96 MaBC cases. Subsequent whole-exome sequencing (WES) of 84 BRCA1/2- and PALB2-mutation-negative MaBC patients, compared against 4480 healthy controls, revealed compelling findings. Results: Pathogenic variants in BRCA1/2 and PALB2 were identified in 14.6% (14/96) of MaBC cases, with BRCA2 mutations predominating at 12.5% (n = 12). Notably, one patient harbored the BRCA1 c.4015G > T stop-gained mutation, while another exhibited the PALB2 c.481_482dupGA alteration. Our analysis further uncovered 170 pathogenic/likely pathogenic mutations, with RAD50, DMD, ARSA, and ABCC6 demonstrating recurrent mutations in MaBC. Conclusions: As the inaugural germline genomic investigation of MaBC in a Han Chinese population, this work reveals clinically actionable alterations with diagnostic and therapeutic implications. These discoveries not only advance our understanding of MaBC’s molecular architecture but also underscore the critical need for dedicated research into this malignancy. Full article