Advancing Open Science

Ammonia (NH₃) is a promising carbon-free energy carrier for low-carbon power generation. However, in turbulent ammonia–methane (NH₃-CH₄) premixed swirling flames, operating at lean conditions to limit NO_X, emissions can trigger strong thermoacoustic oscillations. This study investigates thermoacoustic oscillatory instability in an NH₃-CH₄ swirl-stabilized combustor using the chemiluminescence of CH*, OH*, and NH* over a wide range of ammonia fuel fraction (X_NH3). Combined spectral measurements and 2D chemiluminescence imaging are employed to obtain the global emission characteristics and spatial distributions of OH* and NH* in the UV band and CH* in the visible band. A custom-designed intensified CMOS (ICMOS) camera based on a high-gain UV–visible image intensifier with direct coupling is developed to enable sensitive OH* and NH* imaging (gain > 10⁴). Frequency analysis of continuous CH* imaging, together with morphology-based principal component analysis and k-means clustering of 46 image features, shows that oscillatory combustion occurs for X_NH3 < 0.40, whereas X_NH3 ≥ 0.40 leads to multimode, stable combustion. As X_NH3 increases, OH* and NH* fields progressively decouple from CH*, becoming more elongated and shifting downstream. These results demonstrate that UV radical chemiluminescence provides indispensable information on NH₃ reaction zones and should be combined with CH* diagnostics for reliable thermoacoustic analysis and control in practical NH₃-fueled combustion systems.

Background: The four-compartment (4C) model is a criterion method for evaluating body composition tools like bioelectrical impedance analysis (BIA). This systematic review assessed the clinical equivalence of BIA devices compared to the 4C model and explored limitations in using the 4C model as a criterion method. Methods: Twelve cross-sectional and baseline longitudinal studies involving healthy, weight-stable, non-athlete, non-pregnant adults were included. The primary outcome was a Bland–Altman analysis, with bias, limits of agreement, and proportional bias extracted from each paper. The study quality was evaluated using the AXIS tool. Due to the high variability across studies, a meta-analysis was not performed. Results: BIA devices generally performed poorly against the 4C model estimates of percentage body fat and fat-free mass. Across the 12 studies, mean bias for percentage body fat between BIA and the 4C model ranged from −3.5% to +4.4%, with limits of agreement typically spanning 15 to 20 percentage points. For fat-free mass, mean bias ranged from −3.9 kg to +1.8 kg, with limits of agreement often exceeding ±6 kg. These wide limits indicate non-equivalence at the individual level despite small mean differences. Differences in both BIA device design and variations in 4C methodology across studies may have contributed to these discrepancies. Conclusions: BIA estimates of percentage body fat and fat-free mass were overall not equivalent to the 4C model. Alternative criterion methods, such as MRI, and use of raw BIA data are recommended. Standardization of BIA devices is also needed for improved clinical and research use.

This study investigates ultrasonic wave propagation in carbon fiber reinforced polymer (CFRP) composites containing foreign object debris (FOD) by introducing a novel method to characterize the depth and size of FOD, from a single captured waveform generated by an out-of-focus spherically focused transducer. Current methods of inspection utilize a raster approach to both detect and quantify FOD, which is limited to identifying FOD smaller than 4 mm. The method introduced in the present paper allows for a single point scan to detect and quantify FOD, as small as 0.5 mm, with the highest error in the depth estimation being less than 8%. This paper presents experimental testing to inform a finite element analysis of a full waveform simulation of an immersion tank inspection environment and compares waveforms between testing and simulation. A transient pressure acoustic model is developed in the COMSOL Multiphysics environment to simulate wave propagations. Simulation results provide waveform reflection and transmission at material interfaces, which will occur when there is an acoustic mismatch between materials. The transmitted ultrasonic wave is partially reflected toward the transducer upon encountering material interfaces between the water, CFRP laminate, and the FOD. Simulation results show that the acoustic profile and pressure of the reflected wave captured by the transducer allows an accurate identification of FOD depth and size within the composite structure, suggesting an alternative method of inspection to quantify FOD characteristics faster than through conventional approaches. Results show an increase in captured signal pressure of over 125% between the 0.5 mm FOD and the 1 mm FOD located on the mid-plane of the laminate, and 500% between the same 0.5 mm FOD and 1 mm FOD placed near the front wall. These results suggest the potential sensitivity limits for physical component. This work demonstrates that small FOD, which are often difficult to resolve and quantify under conventional raster-based inspection, can be reliably identified by intentionally positioning the specimen within the defocused region of a spherically focused transducer. Results are presented to correlate the reflected acoustic pressure amplitude to defect depth, transducer–specimen distance, and FOD size, providing an approach to quantitatively discriminate small defects that would otherwise produce ambiguous signals.

Large-scale collection and annotation of sensitive facial data in real-world traffic scenarios face significant hurdles regarding privacy protection, temporal consistency, and high costs. To address these issues, this work proposes an integrated method specifically designed for sensitive information anonymization and semi-automatic image annotation (AIA). Specifically, the Nullface anonymization model is applied to remove identity information from facial data while preserving non-identity attributes including pose, expression, and background that are relevant to downstream vision tasks. Secondly, the Qwen3-VL multimodal foundation model is combined with the Grounding DINO detection model to build an end-to-end annotation platform using the Dify workflow, covering data cleaning and automated labeling. A traffic-sensitive information dataset with diverse and complex backgrounds is then constructed. Subsequently, the systematic experiments on the WIDER FACE subset show that Nullface significantly outperforms baseline methods including FAMS and Ciagan in head pose preservation and image quality. Finally, evaluation on object detection further confirms the effectiveness of the proposed approach. The accuracy achieved by the proposed method reaches 91.05%, outperforming AWS, and is almost identical to the accuracy of manual annotation. This demonstrates that the anonymization process maintains critical semantic details required for effective object detection.

The study analyzes the long-term development prospects of the Latvian dairy sector until 2032, using an integrated modeling approach that combines the AGMEMOD partial equilibrium model with the TOPSIS multi-criteria evaluation method. The study addresses the main challenge facing the sector—how to maintain productivity in the context of structural consolidation and increasing environmental requirements. The AGMEMOD model was recalibrated using updated data for Latvia for 2015–2023. Two scenarios were developed: A1 “Targeted and intensive farm modernization” and A2 “Limited farm modernization”. Scenario A1 is characterized by gradual technological adoption, leading to higher productivity while keeping total milk production almost unchanged relative to the Baseline scenario, whereas scenario A2 reflects slower modernization and reduced productivity growth. The TOPSIS evaluation identified scenario A1 as the most attractive alternative, as it combines productivity gains and greater adaptability to policy and environmental requirements. The results confirm that technological modernization and flexible policy mechanisms are essential to maintain the competitiveness and productivity performance of Latvia’s dairy sector. The integrated AGMEMOD–TOPSIS approach provides a methodological tool for evidence-based policy analysis and strategic planning in agricultural market management.

Bortezomib is a 26S proteasome inhibitor used to treat multiple myeloma and systemic amyloidosis. While effective in prolonging survival, bortezomib has been increasingly associated with cardiovascular adverse events (CVAEs), including cardiac failure and arrhythmias, yet a comprehensive post-marketing cardiac safety profile remains incompletely defined. We analyzed cardiovascular adverse events reported between May 2003 and May 2025 using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) via the OpenVigil 2.1 platform. Disproportionality analysis was performed using reporting odds ratios (RORs) with 95% confidence intervals (CIs). Among over 9 million drug-related adverse events in FAERS, 552 cardiac events were linked to bortezomib. Several cardiac outcomes, including atrial flutter, left ventricular dysfunction, cardiac failure, cardiomyopathy, atrial fibrillation, right ventricular failure, myocarditis, and supraventricular tachycardia, demonstrated elevated disproportionality signals. Separately, cardiac amyloidosis exhibited the highest disproportionality signal (ROR: 35.58; 95% CI: 28.16–44.95), a finding that reflects underlying disease severity rather than treatment-emergent cardiotoxicity. Cardiac failure accounted for the greatest number of hospitalizations (301) and deaths (208), followed by atrial fibrillation and cardiac amyloidosis. Older adults (≥65 years) and patients with amyloidosis or multiple myeloma were the most vulnerable populations. Overall, bortezomib was associated with serious cardiac adverse events, particularly cardiac failure and atrial arrhythmias, underscoring the need for routine cardiovascular risk assessment and proactive monitoring in high-risk patients.

During jacking construction of prefabricated utility tunnels, asynchronous jack output and interface friction may induce internal force redistribution and deformation amplification at the leading end. Taking a triple-cell prefabricated utility tunnel in Xiong’an New Area as a case study, a three-dimensional finite element model was established considering inter-segment contact, equivalent bolted connections, and bottom-slab-bedding friction. Jack asynchrony was idealized as a quasi-static thrust imbalance, and a synchronous case, asynchronous cases with thrust differences of 5–30%, and varying friction coefficients were analyzed. For the 30% thrust-difference condition, structural responses were examined at both the gasket-compression stage and the maximum jacking-force stage. The results show that jacking loads attenuate along the tunnel length in a staged manner, with the leading end acting as the primary load-transfer zone. Increasing thrust imbalance drives the response from axial compression toward eccentric compression-bending, accompanied by monotonic increases in principal stresses and vertical displacement. Higher friction further amplifies the leading-end response; nevertheless, for the investigated configuration, stresses and deformations under a 30% thrust imbalance remain within engineeringly acceptable limits. The findings provide a basis for identifying critical leading-end locations, arranging monitoring schemes, and supporting construction control under asynchronous jacking.

Background/Objectives: The retromer protein complex is involved in various physiological processes, especially endosomal trafficking, and its dysregulation has been linked to Alzheimer’s disease and Parkinson’s disease, as well as VPS35 knockout (KO), causing early embryonic lethality. We aimed to investigate the cellular consequences of VPS35 deficiency. Methods: To investigate the effects of VPS35 loss, we used CRISPR/Cas9 to generate VPS35 KO human embryonic kidney 293 (HEK293) cells. We analyzed changes in retromer component expression, cell proliferation, apoptosis, and mitochondrial dynamics using Western blotting, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay, and confocal microscopy. Results: VPS35 KO led to a significant reduction in cell proliferation and decreased expression of VPS29 and VPS26, both essential for retromer complex assembly. Consequently, retromer formation was impaired. Compared to control cells, KO cells exhibited elevated levels of cleaved caspase-3, poly(ADP-ribose) polymerase, cytochrome C, and p21, while the expression of Ki-67, CDK4, and cyclin D was reduced. Additionally, VPS35 deletion also promoted mitochondrial fragmentation, associated with increased expression of mitochondrial fission-related proteins. Finally, the rescue experiment using the human VPS35 gene confirmed that the recovery of VPS35 not only led to the recovery of the essential elements constituting the retromer but also the recovery of molecules related to the cell cycle, restoring cell death to a normal level. Conclusions: These findings suggest that VPS35 plays a critical role in cell growth and survival by modulating apoptosis, mitochondrial dynamics, and cell cycle progression.