Robust depth completion is fundamental to real-world 3D scene understanding, yet existing RGB–LiDAR fusion methods degrade significantly under adverse weather, where both camera images and LiDAR measurements suffer from weather-induced corruption. In this paper, we introduce AURORA-KITTI, the first large-scale, physics-consistent synthetic RGB–LiDAR benchmark for any-weather depth completion and denoising. We further formulate Depth Completion and Denoising (DCD) as a unified task that reconstructs clean dense metric depth from weather-corrupted RGB images and sparse LiDAR inputs while suppressing weather-induced noise. AURORA-KITTI contains over 82K weather-consistent RGB–LiDAR pairs with metric depth supervision, spanning diverse weather types, three severity levels, day/night scenes, paired clean references, lens occlusion conditions, and textual descriptions. To evaluate DCD beyond standard depth-completion accuracy, we introduce LiDAR-aware denoising metrics that measure corrupted-return correction, dropout-region recovery, and reliable-return preservation. Moreover, we provide DDCD as a strong and efficient distillation-based reference baseline. DDCD is trained on AURORA-KITTI using a frozen teacher applied to paired clean RGB images only during training; at inference, it uses weather-corrupted RGB and sparse LiDAR. Experiments on AURORA-KITTI and the real-world DENSE benchmark show that existing depth completion and foundation depth models remain vulnerable under severe weather, while DDCD improves over weather-aware retraining. Controlled experiments further show that physics-consistent adverse-weather data is the dominant driver of robustness, with clean-prior distillation providing complementary gains. Comparisons with off-the-shelf zero-shot methods use different training protocols; same-data retraining and component ablations separately quantify the contributions of weather-aware data and DDCD. Website: https://github.com/Warwick-Jocelyn/AURORA-KITTI.
Accurate registration of multi-stained whole-slide images (WSIs) enables the integration of complementary morphological and molecular information, improving both clinical diagnostic and prognostic analysis. It also enables efficient transfer of annotations between consecutive or re-stained slides, significantly reducing annotation time and cost, as well as three-dimensional tissue reconstruction. Despite its importance, WSI registration remains challenging due to variations in slide preparation across stains and complex tissue deformations. Existing methods are often tailored to specific staining modalities and fail to generalize across diverse settings, highlighting the need for a robust and generalizable cell-level multi-stain registration method. In this work, we introduce CORE, a novel coarse-to-fine framework for accurate cell-centric registration across six multimodal WSI datasets, encompassing 30 distinct staining types, including Hematoxylin & Eosin (H&E), periodic acid-Schiff (PAS), multiplex immunohistochemistry (mIHC), multiplex immunofluorescence (mIF) and Cyclic immunofluorescence (Cyc-IF). CORE first performs coarse global registration by extracting tissue masks through prompt-based segmentation to remove artifacts and non-tissue regions, followed by rigid alignment using tissue morphology and a pre-trained feature extractor. The resulting alignment is refined using a shape-aware point-set registration model applied to automatically detected nuclei centroids, enabling fine-grained rigid alignment. Finally, Coherent Point Drift (CPD) is used to estimate a non-linear displacement field for non-rigid cellular alignment. Using nuclei correspondences throughout the pipeline, CORE achieves accurate and robust cell-level alignment across modalities. Experimental results show that CORE consistently outperforms state-of-the-art methods in accuracy, robustness, and generalization across both bright-field and immunofluorescence WSIs.
This study outlines the effectiveness of mercury (Hg) probe measurements in evaluating the net carrier concentration of 3C-SiC epilayers and their barrier height evaluating their performance for device fabrication. Both mercury probe current voltage (Hg IV) and mercury probe capacitance voltage (Hg CV) measurements are compared to Schottky Barrier Diode (SBD) IVs and CVs, respectively. Increasing Schottky Barrier Height (SBH) with decreasing carrier concentration was observed when increasing the 3C-SiC thickness from 3 μm to 8 μm. Subsequently, this measurement is implemented for evaluating carrier concentration of 3C-SiC epilayers whilst varying C/Si ratios during growth to demonstrate the lowest non-intentionally doped carrier concentrations down to value of ∼5 × 1015 cm−3 for a C/Si ratio between 1.3 and 1.4. This trend is compared to the crystal quality of the 3C-SiC layers, by high resolution x-ray diffraction achieving the best Full Width Half Maximum (FWHM) of the diffracted peak of 0.29°, with a strong correlation between Hg CV carrier concentration, Schottky barrier height (SBH) and FWHM values.
Healthcare's digital transformation has drastically expanded its attack surface, making robust Cybersecurity Risk Assessment (CSRA) a critical patient safety imperative. However, a persistent "implementation gap"-manifest as an assurance deficiency-hinders the adoption of Cyber Threat Intelligence (CTI) in clinical practice. This review addresses this gap through a preregistered PRISMA protocol, synthesising 43 peer-reviewed studies (2020-2024). Our reproducible analysis, with sensitivity validation confirming taxonomy stability (kappa = 0.85, asymptotic 95% CI: 0.78-0.92), identifies three recurring failure modes that underpin the implementation gap: (i) semantic misalignment between CTI artefacts and CSRA constructs, (ii) regulatory drift from absent clause-level traceability, and (iii) deployment discontinuity due to edge-resource constraints. From this synthesis, we derive a sixdomain taxonomy that outlines the requirements for clinical deployment. The paper makes two interconnected contributions. First, we provide a systematic evidence synthesis that identifies and analyses the triadic constraint failure. Second, derived directly from this synthesis, we present a conceptual harmonisation framework-a design blueprint-that integrates explainability, regulatory traceability, and resource-aware fusion as coequal design constraints. The resulting framework offers a practical rubric for Security Operations Centres (SOCs) to evaluate the audit-readiness and deployment feasibility of CTI-informed risk assessment tools, and a clear, actionable research agenda including a defined pathway for empirically validating the proposed blueprint.
The CaO-Fe2O3-TiO2 system governs the formation and structural evolution of Ti-bearing phases during vanadium-titanium magnetite sintering. Phase equilibria at 1523 and 1623K in air were investigated by equilibrium quenching, X-ray diffraction, and electron probe microanalysis, and the corresponding isothermal sections were constructed. The phase assemblages involve perovskite (CaTiO3), dicalcium ferrite (Ca2Fe2O5), calcium ferrotitanate (Ca3Fe2TiO8), hematite (Fe2O3), pseudobrookite (Fe2TiO5), rutile (TiO2) solid solutions, and liquid. Ca3Fe2TiO8 was experimentally confirmed as a stable solid-solution phase at both temperatures. Its presence reconstructs the conventional CaTiO3-Ca2Fe2O5 relationship by separating their stability fields and introducing additional phase boundaries in the ternary system. The critical TiO2 contents for CaTiO3 precipitation were further determined at different CaO/Fe2O3 ratios. Increasing the CaO/Fe2O3 ratio enlarges the CaTiO3-free region and improves TiO2 tolerance. These results clarify the structural phase relationships and provide experimental constraints for thermodynamic modeling and phase-control strategies in Ti-bearing ceramic and metallurgical systems.
