Advancing Open Science

Monitoring fish skin health is essential in aquaculture, where scale loss serves as a critical indicator of fish health and welfare. However, automatic detection of scale loss regions remains challenging due to factors such as uneven underwater illumination, water turbidity, and complex background conditions. To address this issue, we constructed a scale loss dataset comprising approximately 2750 images captured under both clear above-water and complex underwater conditions, featuring over 7200 annotated targets. Various image enhancement techniques were evaluated, and the Clarity method was selected for preprocessing underwater samples to enhance feature representation. Based on the YOLOv8m architecture, we replaced the original FPN + PAN structure with a weighted bidirectional feature pyramid network to improve multi-scale feature fusion. A convolutional block attention module was incorporated into the output layers to highlight scale loss features in both channel and spatial dimensions. Additionally, a two-stage transfer learning strategy was employed, involving pretraining the model on above water data and subsequently fine-tuning it on a limited set of underwater samples to mitigate the effects of domain shift. Experimental results demonstrate that the proposed method achieves a mAP50 of 96.81%, a 5.98 percentage point improvement over the baseline YOLOv8m, with Precision and Recall increased by 10.14% and 8.70%, respectively. This approach reduces false positives and false negatives, showing excellent detection accuracy and robustness in complex underwater environments, offering a practical and effective approach for early fish disease monitoring in aquaculture.

Thermoluminescence has a long and successful history in applied radiation dosimetry, as well as in a wide range of other applications and basic research. However, there is a dichotomy that, despite the many commercial successes, there continue to be entrenched systematic errors in data collection, signal processing, and models. This overview offers suggestions to address these issues. Improving initial data collection is certainly feasible and may offer deeper insights into the potential mechanisms of thermoluminescence. There is an extremely complex challenge in suggesting and confirming models for lattice sites that generate luminescence signals. Currently, such models are highly speculative and simplistic. In reality, they should involve not only immediate lattice sites but also extremely long-range interactions. Weaknesses in data collection and models impact and generate errors in the extraction of activation energies and frequency factors that are routinely ascribed to data analysis. Overall, it is possible to suggest ways to improve data collection and slightly improve modelling of relevant lattice sites and parameters such as their activation energies, but in reality, these factors will always be speculative and imprecise. Fortunately, this does not inhibit the extension of the technique into other areas of application, but the suggested improvements will enable greater diversity.

Glioblastoma is currently an incurable disease despite the development of a wide variety of therapeutic approaches, from surgical methods to immunotherapy. In current clinical practice, treatment typically involves a combination of existing methods, often comprising three stages: tumor resection, radiotherapy, and chemotherapy. Modern research offers improved chemotherapy strategies, as well as combinations of chemotherapy with immunotherapy. However, the efficacy of these therapies is profoundly influenced by factors such as tumor and peritumoral heterogeneity, alongside complex molecular signaling pathways. Optimizing glioma treatment requires a rigorous mechanistic understanding of individual approaches and their synergistic effects. This review comprehensively details current glioblastoma therapeutic strategies and critically evaluates key reference models for assessing combination therapy efficacy and their inherent limitations. A deeper understanding of these mechanisms and models will refine the investigation of observed therapeutic effects and accelerate the translation of promising in vitro approaches to effective clinical management of malignant gliomas.

Background: The prognostic impact of therapy-induced neutropenia in patients receiving definitive chemoradiotherapy for locally advanced thoracic esophageal cancer (EC) remains inadequately characterized. This study aimed to evaluate the association between grade 3–4 neutropenia and survival outcomes following docetaxel–cisplatin–5-fluorouracil (DCF) combined with radiotherapy (DCF-RT). Methods: Fifty patients with locally advanced thoracic EC were included in this study. Chemotherapy consisted of intravenous docetaxel at 50 mg/m² (day 1), CDDP at 60 mg/m² (day 1), and 5-FU at 600 mg/m² (days 1 to 4), administered every four weeks for two cycles in combination with radiotherapy (60 Gy in 30 fractions). Toxicities were assessed using the Common Terminology Criteria for Adverse Events. Overall survival (OS), progression-free survival (PFS), locoregional control and distant metastasis-free survival were compared by neutropenia grade. Results: Grade 3–4 neutropenia occurred in 80% (95% CI: 66.3–90.0) of patients. The OS rate was significantly lower in those with grade 3–4 neutropenia than in those with grade 0–2 (p = 0.006). Multivariate analysis identified grade 3–4 neutropenia (HR 3.77; 95% CI: 1.35–10.56) and complete response (CR) (HR 0.47; 95% CI: 0.25–0.87) as independent prognostic factors for OS among patients who received definitive CRT. Among 38 patients with recurrence or residual disease, those with grade 3–4 neutropenia exhibited significantly greater reductions in lymphocyte counts at recurrence versus pretreatment (p = 0.012) compared with those with grade 0–2 neutropenia. Conclusions: Therapy-induced neutropenia is an independent prognostic factor for OS in locally advanced thoracic EC patients undergoing definitive DCF-RT. It may also serve as a predictor of insufficient lymphocyte recovery following chemoradiation.

“Experiments were conducted at DIMEG, University of Calabria, located in the main campus in Arcavacata di Rende, Italy.” This article focuses on the study of the geometry, direct and inverse kinematics, workspace, and singularity of a novel 3-PRRS parallel manipulator (PM) with a redundantly actuated architecture. The PM consists of three active revolute joints and three passive prismatic redundant input joints, all located on a fixed platform. The constant and variable parameters characterizing the PM’s geometry and kinematics are determined. The direct kinematics problem is formulated as a 16th-degree polynomial, while the inverse kinematics problem is solved in closed form. A comparison of the direct and inverse kinematics is provided, and the correctness of the solutions is validated through numerical examples. The equations of motion for the moving platform are derived, and the PM’s workspace is defined based on the inverse kinematics. This work demonstrates how the passive prismatic input joints, specifically included in the design, contribute to an enlarged workspace—particularly in the vertical direction—compared to traditional 3-RRS PM architecture.

Background/Objectives: Obesity is a significant risk factor for obstructive sleep apnea (OSA); however, conventional anthropometric measures, such as body mass index (BMI), may not fully reflect the physiological burden associated with adiposity. The triponderal mass index (TMI) has been proposed as an alternative anthropometric indicator, while inflammation-related biomarkers have emerged as potential complementary tools for characterizing OSA severity. This study aimed to evaluate the relationships between BMI, TMI, hypoxemia, and systemic inflammation, and to assess whether combining anthropometric indices with inflammatory biomarkers improves the identification of severe OSA. Methods: In this retrospective cross-sectional study, 238 adults undergoing full-night polysomnography were classified into four groups: non-OSA, mild OSA, moderate OSA, and severe OSA, based on the apnea–hypopnea index (AHI). Anthropometric indices, polysomnographic parameters, and a comprehensive panel of laboratory biomarkers—including C-reactive protein (CRP), neutrophil- and platelet-derived inflammatory indices, prognostic nutritional index (PNI), CRP-to-albumin ratio (CAR), and CRP-to-lymphocyte ratio (CLR)—were analyzed. Associations were evaluated using Spearman correlation analyses, and diagnostic performance for severe OSA (AHI ≥ 30 events/h) was assessed using receiver operating characteristic (ROC) analyses, DeLong tests, and multivariable models. Results: Both BMI and TMI increased progressively with OSA severity (both p < 0.001) and showed comparable correlations with AHI and nocturnal oxygenation parameters. ROC analyses demonstrated similar discriminative performance for severe OSA (BMI AUC = 0.834; TMI AUC = 0.823; p = 0.229). Among inflammatory biomarkers, CRP, multi-inflammatory index (MII), CAR, and CLR showed moderate diagnostic accuracy. Among the evaluated markers, serum albumin (AUC = 0.836) and PNI demonstrated the highest diagnostic accuracy (AUC = 0.994). A combined model integrating BMI or TMI with PNI achieved near-perfect discrimination for severe OSA (BMI-based AUC = 0.9956; TMI-based AUC = 0.9969), while the addition of CRP-based inflammatory markers did not yield meaningful incremental benefit. Conclusions: BMI and TMI exhibit comparable performance in relation to OSA severity, hypoxemia, and systemic inflammation, with no clear superiority of TMI over BMI in adult patients. Inflammation-related biomarkers—particularly PNI—provide additional discriminatory value beyond anthropometric measures alone. Integrating simple biochemical markers with anthropometric and polysomnographic parameters may enhance risk stratification and identification of severe OSA phenotypes.

Establishing a reduced-order model (ROM) of the wind turbine generator system (WTGS) preserving transient characteristics is a fundamental requirement for the transient stability analysis of power systems. This study introduces a novel dimension reduction framework based on trajectory eigenvalues, integrated with virtual inertia control (VIC). The framework facilitates multi-timescale state variable partitioning through a reversible mapping, which is derived from eigenvalue dominance and participation metrics. Based on this, dimension reduction is performed using singular perturbation theory (SPT). Taking a direct-drive wind turbine generator as an example, this paper establishes a ROM of the WTGS with VIC preserving transient characteristics, based on the proposed reduction method. Comprehensive time-domain simulations in MATLAB/Simulink validate the model’s accuracy and computational efficacy.

Post-oncologic skin is subject to multiple structural and functional impairments following chemotherapy and radiotherapy, including delayed epidermal turnover, compromised barrier integrity, and mitochondrial dysfunction. These changes can lead to persistent dryness, heightened reactivity, impaired regeneration, and reduced patient quality of life. In this context, topical dermocosmetic strategies are essential not only for improving comfort and hydration, but also for supporting key cellular pathways involved in mitochondrial protection and oxidative stress reduction. Despite the promise of natural antioxidant actives, their cutaneous efficacy is often limited by poor stability, low bioavailability, and insufficient penetration of the stratum corneum. The use of nanocarriers promotes deeper skin penetration, protects oxidation-prone antioxidant compounds, and enables a controlled and prolonged release profile. This review summarizes the current evidence (2020–2025) on skin delivery systems designed to enhance the efficacy, stability, and skin penetration of antioxidants. Knowledge gaps and future directions are outlined, highlighting how rationally engineered delivery systems for mitochondria-targeted actives could contribute to safer, more effective strategies for post-oncologic skin regeneration.