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A novel transformer architecture for EEG decoding and neuroscientific analysis
Sinusoidal Nanocurvature Interface of Mesoporous Nanoreactors Enhances Electron Migration Pathway for Photocatalytic C–C Coupling
Perceived competitive school climate and academic burnout among Chinese university students in the EFL context: the mediating role of linguistic shame
Assembly and Reactions of Artificial Metalloenzymes in <i>Streptomyces albus</i>
Enhancing mechanical performance, durability, and environmental impact assessment of green concrete incorporating industrial and agricultural wastes
Regiodivergent Asymmetric Hydroboration of Dimethylenecyclobutanes Enabled General Access to Chiral Cyclobutanes
Development and temporal evaluation of an emergency severity index-informed Bayesian sequential model for hospital admission prediction using time-to-urination
Phase-Transformable DNA Frameworks for Synthetic Condensates with Valency-Controlled Subcellular Sorting
Advanced multi-technique aeromagnetic and remote sensing characterization of a small-scale gold prospect: a case study from the Um Salim area
Abstract Significant gold deposits occur within the ophiolitic rocks of the Central Eastern Desert of Egypt; yet, the structural controls governing ore distribution remain insufficiently constrained. This study applies an integrated remote sensing-aeromagnetic–structural workflow to the Um Salim area along the ENE-trending Barramiya–Um Salatit ophiolitic belt to delineate surface and subsurface architectures and assess their influence on gold localization. High-resolution lithological mapping was achieved through machine-learning classification of hyperspectral EnMap data using the Random Forest (RF) and Support Vector Machine (SVM) algorithms. SVM applied to enhanced Minimum Noise Fraction (MNF) components yielded superior performance, achieving an overall accuracy of 95.8%, a kappa coefficient of 94.6%, and an F1-score of 96.6%. Reduced-to-pole magnetic data reveal a prominent positive anomaly (~ 1400 nT) directly over the Um Salim gold mine, attributed to magnetite-bearing metavolcanics and ophiolitic serpentinite rocks. Upward continuation to 0.5–1 km confirms that this anomaly reflects a deeply rooted magnetic source. To refine structural interpretation, advanced edge-detection filters (TAHG and ILTHG) were applied, enhancing ENE–WSW, NE–SW, NW–SE, and N–S trends consistent with multi-phase deformation (D1–D3), and SAR-derived lineaments. Center for Exploration Targeting (CET)-based lineament density and orientation entropy maps delineate zones of intense structural complexity that closely correspond with mineralized shear zones and dyke-like porphyry intrusions. Depth-to-source analyses using Euler Deconvolution (EUD) and Tilt-Depth (TD) methods reveal that most magnetic bodies occur within 0–1000 m, whereas deeper (~ 1500 m) sources likely represent intrusive conduits that focused hydrothermal fluids. The novelty of this study lies in its integrated, multi-technique application of aeromagnetic analysis combined with hyperspectral machine learning to characterize a small, gold prospect and to map alteration-linked structural features at high resolution in the Barramiya–Um Salatit belt. The integrated results highlight new structurally complex zones in the eastern and southeastern Um Salim region as high-priority exploration targets, particularly along the NE–SW shear system that controls gold mineralization. This workflow provides a high-resolution, transferable strategy for targeting gold in structurally complex Precambrian terranes worldwide.
Identifying Electrolyte Reduction Intermediates in Lithium Metal Batteries with Spin Trapping
Exploration of the auricle morphology of young adults from 10 countries
Palladium-Catalyzed <i>ortho-</i> Alkylation of Bromoarenes Enabled by Imidazole-Olefin Ligands
Performance-driven utilization of industrial wastes as fine aggregates in ambient-cured alkali activated concrete
Catalytic CO Homologation at Magnesium
Interplay of anemia in inborn errors of energy metabolism
Abstract Inborn errors of energy metabolism (IEEM) are inherited conditions that typically present with impaired mitochondrial energy production and multisystem involvement, leading to adverse developmental outcomes. Iron is essential for mitochondrial function, and its deficiency may influence disease manifestations. The study aimed to evaluate the frequency of anemia and assess red blood cell indices, including the Mentzer Index (MI), in children with IEEM. This prospective observational study analyzed RBC indices in children (0-3 years) with clinically detected IEEM. Anemia was defined as per WHO criteria: hemoglobin < 11 g/dL (6-59 months). The MI was calculated and compared with age-matched controls. Anemia was observed in both the IEEM and control groups, with no significant difference between the two. Among individuals with IEEM, 78.3% had an MI ≥ 13, compared with 88.5% of controls; the difference was not statistically significant. Network analysis of complete blood count parameters demonstrated distinct clustering patterns in the IEEM group compared to controls. Although the proportion of lymphocytes and absolute lymphocyte counts were higher in the IEEM group, these differences were not statistically significant. Anemia was prevalent in both groups, with no significant difference observed between IEEM and controls. Network analysis demonstrated variations in hematological patterns; however, these findings are exploratory and do not establish underlying mechanisms. They may reflect complex interactions between metabolic and hematological factors. CTRI Number : CTRI/2023/11/060330.