This paper presents a concise, application-focused description of using EEZ Studio (Envox Experimental Zone) as a practical environment for system identification, data acquisition, and implementation of controllers on the programmable power supply EEZ BB3. The work demonstrates how EEZ Studio integrates SCPI control, MicroPython/JS scripting, and direct interaction with instruments (oscilloscopes and BB3) to perform identification and closed-loop control. The experimental implementation (water-level and DC-motor speed control tasks) used the EEZ BB3 as the actuator with an STM32 Nucleo micro-controller for signal acquisition and UART communication. The results show reliable acquisition, effective controller deployment in the BB3 and stable closed-loop behavior, indicating that EEZ Studio is a feasible tool for rapid prototyping and educational control experiments.

Simple Summary Disease recurrence after allogeneic stem cell transplantation remains the principal cause of treatment failure in patients with myeloid malignancies. One possible explanation is the acquisition of additional genetic alterations by malignant cells over time. In this study, we investigated the emergence of cytogenetic changes at relapse and their association with prior treatment exposure and clinical outcomes. Nearly half of the patients developed cytogenetic changes at relapse. These alterations occurred more frequently in individuals with complex cytogenetic abnormalities at diagnosis, suggesting that an unstable genomic background may predispose further clonal diversification. In contrast, prior chemotherapy, conditioning regimen, and donor type were not associated with the emergence of new abnormalities. Although patients with cytogenetic changes showed a lower early response rate, long-term survival outcomes were not significantly affected. Overall, our findings suggest that cytogenetic alterations at relapse may primarily be driven by disease-intrinsic biological features rather than treatment-related genomic damage.

Abstract Objectives Clinical trial data are lacking for treatment of patients with juvenile systemic sclerosis (jSSc). Three published recommendations exist for jSSc but real-world data on treatment patterns are lacking. The aim of this study was to analyse treatments used in the jSSc inception cohort (jSSci) and compare to published recommendations on the treatment of jSSc. Methods Data was extracted for patients with 24 months follow-up visits in the jSSci up until June 2023. Medications used and their association with clinical characteristics were analysed. Logistic regression analyses were performed to compare treatments between limited and diffuse cutaneous jSSc subtypes, organ involvement and time of initiation of treatment. Multilevel mixed effects logistic regression analyses were used to evaluate the change in medication use in follow-up. Treatment patterns were compared against published recommendations. Results 93 patients had 24 months follow-up data. 77% of patients were receiving disease-modifying treatment (DMARD) at enrolment, which increased to 91% at 24 months (p<0.001). Patients with diffuse cutaneous jSSc subtype had significantly more frequently active ulcerations, skin involvement and received any kind of treatment more often compared with limited (97% vs 91%, p=0.047). Methotrexate was used in 52% of patients at enrolment which decreased to 37% at 24 months (p=0.001). Mycophenolate mofetil use increased from 24% to 46% (p<0.001). Biological DMARDs increased from 5% to 22% (p<0.001). The treatment pattern strongly overlapped with the published paediatric guidance. Conclusion This is the first report regarding the pattern of medication use in real life in the currently largest patient cohort of patients with jSSc. The observed pattern overlaps with the published recommendations.

Large Language Models (LLMs) such as ChatGPT and Gemini are reshaping education through personalized learning and data-driven decision-making. This study evaluated LLM classroom feasibility by linking them with PISA student-level data. Using R-based processing, 1,000 structured profiles were submitted to ChatGPT and Gemini APIs to identify academic and socio-emotional strengths, risks, and improvement strategies. Unlike systems that rely on predictive modeling, this approach uses LLMs as interpretive assistants that generate context-aware feedback from standardized educational data without custom model training. Thematic analysis revealed strong cross-model agreement $(\mathbf{r}=\mathbf{0. 8 7})$ and alignment with teacher evaluations ($\mathbf{r}$ = 0.76). ChatGPT provided concise, action-oriented feedback; Gemini offered richer contextual explanations. High inter-rater reliability $\kappa=0.79-0.82)$ confirmed consistent content interpretation. However, the reliance on agreement-based validation introduces a circular reasoning risk that limits causal claims. Findings demonstrate LLMs' potential as real-time educational assistants for early detection and personalized guidance, though input data dependence, bias risks, and limited longitudinal validation remain key limitations.

Titanium dioxide nanoparticles (TiO₂NPs) are widely produced engineered nanomaterials with ongoing human exposure through consumer and occupational uses. Conventional in vitro assays often focus on cytotoxicity and may therefore overlook early or sublethal cellular perturbations. Here, we applied Cell Painting-based phenomics to resolve size-dependent sub-lethal phenotypic signatures of TiO2NP exposure in human HepG2 hepatocytes. Two TiO2NPs (<25 nm and <100 nm) were characterized by field emission scanning electron microscopy and evaluated following 24-hour exposure at five concentrations: 6.25, 12.5, 25, 50, and 100 µg/mL. Cell viability was assessed using the alamarBlue assay, and high-dimensional phenotypic profiles were generated using Cell Painting-based phenomics, including automated high-content imaging and CellProfiler-based feature extraction. TiO2NP exposure induced modest reductions in viability at the highest concentration, indicating limited acute cytotoxicity. In contrast, phenomic profiling revealed clear, concentration-dependent phenotypic perturbations for both size fractions, with markedly stronger and more consistent effects for the < 100 nm TiO2NPs. At 100 µg/mL, the < 100 nm TiO2NPs altered 50.9% of the measured phenotypic features, compared with 28.9% for the < 25 nm particles, with prominent contributions from endoplasmic reticulum-, actin/Golgi/plasma membrane-, mitochondria-, and RNA-associated features. Dimensionality reduction and correlation analyses confirmed reproducible, concentration-dependent phenotypic trajectories. Importantly, the TiO2NP-induced phenotypes were distinct from those induced by the reference chemical CA-074Me, which produced broad perturbations and served as a reference chemical to verify assay sensitivity and dynamic range. Overall, Cell Painting phenomics sensitively captures size-dependent, sublethal cellular phenotypes induced by TiO2NPs, supporting its value as a New Approach Methodology for nanosafety assessment beyond conventional viability endpoints.

In conditions where information and communication technologies (ICT) dictate the “rules” of the market, the strong promotion and development of innovation-oriented small and medium-sized enterprises (SMEs) are essential. The transition from a traditional, linear system of waste management and fleet management in utility companies to a digital and circular-oriented system represents not only a significant challenge

Highlights What are the main findings? Quantitative 2D and 3D morphometric descriptors, combined with LLM-based interpretation, enable a structured and informed assessment of pediatric foreign-body aspiration risk. Object morphology, including shape, sharpness, and orientation, substantially influences both where an aspirated foreign body lodges in the pediatric airway and the severity of the resulting injury, beyond traditional size-based criteria. What are the implications of the main findings? For practicing pediatricians, incorporating shape-related metrics into hazard assessment may complement existing size-based safety standards and improve the bedside identification of high-risk objects. The proposed framework offers a basis for developing interpretable tools to support prevention strategies, product design, caregiver education, and clinical risk assessment. Abstract Background/Objectives: Foreign-body aspiration (FBA) is a common and largely preventable pediatric emergency, yet current safety standards and risk assessments rely predominantly on object size and on anecdotal descriptions and bronchoscopy findings. We propose a clinically oriented proof-of-concept workflow that combines high-resolution three-dimensional (3D) scanning and calibrated two-dimensional (2D) imaging of retrieved objects with radiomic shape descriptors and large language model (LLM) reasoning to support aspiration risk assessment and guide prevention. Methods: Objects were obtained from the Susy Safe registry and historical series from the University Clinical Centre Tuzla. Each object was digitized with 3D scanning and photographed with a ruler. Morphometric descriptors—including volume, surface area, sphericity, elongation, flatness, curvature and convexity—were computed from stereolithography (STL) meshes; silhouette area, perimeter and Feret diameters were extracted from 2D photographs. Normative airway dimensions from radiographic and computed tomography (CT) studies provided anatomical context. A sharp, irregular metallic object recovered from a child’s laryngo-tracheal tract served as an illustrative case. Results: The object’s major axis approximated the anteroposterior glottic diameter, suggesting potential traversal when longitudinally oriented, whereas its irregular shape increased the likelihood of mucosal laceration and lodging. LLM-based synthesis provided a structured narrative interpretation consistent with a high-risk profile and highlighted preventive implications. Conclusions: Combining 2D/3D morphometry with LLM reasoning provides objective assessment of FBA hazards and may support safer product design, injury-prevention policies, and caregiver education.

Abstract Objectives Rescue stenting (RS) has emerged as a bailout strategy after failed reperfusion during endovascular treatment (EVT). Optimal blood pressure (BP) management after RS remains unclear. Our aim is to evaluate the association of BP levels and blood pressure variability (BPV) during the first 24 h after RS with short-term and long-term patient outcomes. Methods We performed a retrospective analysis of an international registry where data from adult patients who underwent either RS or rescue angioplasty after failed EVT were collected. Patients who received RS with large vessel occlusion and at least 4 BP measurements in the first 24 h were included. Results RS was performed in 437 patients (40.5% female, mean age 67.1 ± 13 years). Admission median National Institutes of Health Stroke Scale score was 12 (IQR 7–18) and history of hypertension was present in 74.2% of patients. Μean Systolic BP (SBP) in the first 24 h was 137.4 ± 14.6 mmHg. Higher values of BPV (coefficient of variation, standard deviation, average real variability and successive variation) were associated with lower odds for Modified Rankin Scale score 0–2 at 90 days (adjusted odds ratio ranging 0.55 [0.38, 0.79] to 0.99 [0.98, 0.99] per 10 units increase). No associations were found between any SBP measure and death, sICH as well as neurological deterioration at 24 h. Conclusion In our study, higher BPV was associated with worse clinical outcomes in stroke patients treated with RS as bailout therapy after failed reperfusion. No association was shown between mean, maximum, minimum and delta SBP and clinical outcomes.

Abstract Introduction Endovascular therapy (EVT) has become an increasingly important part of acute stroke management. However, the lack of trained neurointerventionalists represents a key barrier in expanding availability of EVT in Europe. This project aimed to investigate the association between the number of neurointerventionalists and overall EVT rates. Patients and methods A cross-sectional analysis was conducted using publicly available data from the Global Burden of Disease Report 2021 and the Stroke Action Plan for Europe (Stroke Service Tracker). Data on the number of neurointerventionalists across 35 European countries were surveyed through a structured survey distributed via the Resident and Research Fellow Section (RRFS) of the European Academy of Neurology (EAN). Correlation analyses were performed to estimate the association between neurointerventionalist density per served population, EVT rates and stroke-related mortality and morbidity. Results Survey response rate was 71% (25/35 countries). The proportion of acute ischaemic stroke patients treated with EVT ranged from 0.05% to 14.96% of people with ischaemic stroke, and the number of neurointerventionalists ranged from 9 to 137 per country and from 0.3 to 7.5 per million inhabitants. There was a positive correlation between the number of neurointerventionalists per population served and EVT rates (Spearman coefficient ρ = 0.507; 95% CI, 0.209–0.719). Greater availability of trained neurointerventionalists was moderately associated with lower national ischaemic-stroke mortality (ρ = −0.473; 95% CI, −0.746 to −0.065) and lower overall disability-adjusted life years (ρ = −0.444; 95% CI, −0.729 to −0.027). Discussion and conclusion The number of neurointerventionalists correlates positively with the annual volume of EVT across European countries; higher EVT rates were also associated with lower stroke-related mortality and disability; however, these associations are unadjusted for other important confounders and causality cannot be inferred. These data suggest an urgent need to increase neurointerventional capacity in Europe, for example, by expanding dedicated national training programmes and enhancing support from national and international professional societies.