Browse Articles
Discover research articles across all indexed journals
Investigation of deformation characteristics of gate and earth–rock dam systems under deep overburden conditions
High-efficiency predictive torque control of induction motors in PV water pumping using GTO-optimized PI controller
A study on the efficacy and safety of fecal microbiota transplantation as an adjunctive therapy for treating depressive episodes
SV-TransFusion for LiDAR 3D object detection with Sparse Voxel–Query Interaction
Integrating EfficientNetV2 with guided filopic diffusion for enhanced rice leaf disease recognition
Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention
Separating tectonic and climate signals in Holocene sea-level records using marine terraces in central Chile
Abstract Field observations of past sea-level variations are needed to validate models predicting future sea-level rise. Along tectonically active coasts, separating tectonic and non-tectonic sea-level components is challenging as both have similar amplitudes but necessary to decipher sea-level histories driven by climate forcing. Here, we present a new framework to decipher Holocene sea-level changes using marine terraces–geomorphic features formed by wave erosion of bedrock–mapped with high-resolution LiDAR data and numerical modelling. Applied to 266 sites along 500 km of central Chilean coast, we found that Holocene terrace elevations linearly correlate with Late Pleistocene terrace elevations, evidencing steady-state tectonics over the past 125,000 years. This proof of steady-state uplift allows subtracting tectonic components from Holocene elevations using uplift rates from Pleistocene terraces. We find that during the mid-Holocene, sea level reached 3.18 ± 0.15 m above modern elevation, only 0.33 m below glacial isostatic model predictions with 2·10 20 Pa·s mantle viscosity. We validated this relationship by reproducing Holocene terrace elevations using a landscape evolution model and glacial isostatic sea-level curves. Our results suggest that accounting for millennial-scale vertical land motion rates that average many seismic cycles may improve future relative sea-level change projections, highlighting the potential of rocky-shore geomorphology for sea-level research along tectonically active coastlines.
Unsegmented marine annelids as biomechanical models for soft robotics
In-situ ion irradiation investigations on MBE grown Sb thin films on sapphire
Halide-assisted Al-doped graded shells for emission tunability and photostability in CdSe NPLs
Knowledge and practice of surgical site infection prevention and associated factors among nurses working in public hospitals of Sodo town, Wolaita Zone, Southern Ethiopia
Improving elderly-oriented transportation in rural areas through a case study of Zhenglu Town
Multidisciplinary approaches to lithological discrimination and structural mapping for mineral resource assessment
Abstract Understanding the geological and structural controls on mineralization is globally important for sustainable resource exploration and management. This study investigates the Gardan Ophiolitic Mélange (GOM) and the Shait Granite Complex (SGC) in the Wadi Shait area, Eastern Desert, Egypt, using an integrated, multidisciplinary approach. The GOM comprises basal metasediments, metabasalt slices, and schistose hornblende-bearing metagabbros, representing a tectonically imbricated, low-grade metamorphosed unit. Sentinel-2 satellite imagery, analysed using false colour composites (FCCs), principal component analysis (PCA), band ratios, and textural correlation, effectively discriminated lithological units and structural patterns. These results were validated and extended using high-resolution aeromagnetic data. Interpretation of aeromagnetic, employing advanced edge-detection filters such as the improved horizontal tilt derivative (impTDX) and STDR, together with classical techniques including the first vertical derivative (FVD), horizontal gradient magnitude (HGM), and tilt derivative (TDR), as well as three-dimensional (3D) Euler deconvolution and 3D magnetic modeling, revealed a network of NW–SE, NE–SW, N–S, and E–W trending faults at depths of 124–782 m. Within the SGC, NW-trending shear zones indicate late orogenic extensional exhumation associated with Najd fault-related tectonics. These structures govern the distribution of gold and radioactive (K, U, Th) mineralization. The results highlight the effectiveness of integrating remote sensing and aeromagnetic techniques for resolving lithological complexity, subsurface architecture, and mineral potential in structurally complex terranes worldwide.
A selective machine learning algorithm for severe periodontitis labeling from questionnaire data
Suppression of LTBP1 enhances the sensitivity of bladder cancer to cisplatin
Exosome-mediated delivery of miRNA-1290 inhibitor enhances JNK-dependent tissue-resident memory T cell immunity in prostate cancer
PADP: progressive and adaptive data pruning for efficient incremental learning
Abstract Data pruning is a key technique for reducing training costs and improving model performance. However, most existing methods rely on fixed pruning rates or single metrics, which are largely designed for static training settings, making them unsuitable for incremental learning, where data distributions and model states change dynamically. To address this, we propose , a progressive and adaptive data pruning method for incremental learning, which dynamically evaluates sample difficulty and its difficulty changes during training to enable adaptive sample selection for each incremental learning task. Specifically, we propose two metrics, the instant difficulty score and the difficulty variation score. The former evaluates the learning difficulty of a sample, while the latter evaluates the variation in difficulty over a training interval. These two metrics are combined to guide pruning decisions. To prevent certain classes from being completely removed, we also introduce a class-balance retention mechanism. Experimental results show that outperforms existing data selection methods on CIFAR-100 and Tiny-ImageNet, generalizes across multiple incremental learning frameworks, and still maintains or exceeds the original accuracy even when training time is reduced by up to 52.90% compared to using the full dataset, demonstrating its effectiveness and practical value.
Acute physiological and pupillary responses during power snatch and clean & jerk training sessions in elite female weightlifters
Abstract Individual training programs are essential for healthy weightlifting. To investigate the adaptive response of vital functions and pupil diameter to olympic style weightlifting training performed in elite female weightlifters. The study was conducted with twenty elite female weightlifters in the preparation period for competitions. Weightlifters were given 90-minute training sessions with 75% and 100% maximum weight loaded on two different days. Systolic and diastolic blood pressure, oxygen saturation, pulse, respiratory rate, body temperature, and mean pupil diameter values, were measured during the rest, power snatch, clean & jerk movement and cool down phases of 75% and 100% maximum weight loaded training. Shapiro Wilk test, Friedman’s two-way analysis and Sperman correlation used for statistical analyses ( P < 0.05). All vital values were significantly different in at least one measurement time from the other measurement times in groups ( p ≤ 0.001). In the power snatch phase, all the vital signs were different from the rest and cool down phases in both training groups ( p < 0.001, respectively). In 100% maximum weight training group, there was a significant positive correlation between max clean & jerk and systolic blood pressure of basal ( r = 0.37), power snatch phase ( r = 0.27) and cool down phase ( r = 0.44). It can be said that different maximum weight power snatch and clean & jerk weightlifting trainings affect vital functions and mean pupil diameter changes and weightlifting performance within physiological limits, in weightlifters, and this may be a reference in arranging a training program. Continuous monitoring of athletes’ training-induced autonomic outcomes may contribute to individual arrangements for safe sports and high performance.