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The present study was aimed to find out whether a change in the alignment of the pyramid from the north-south axis causes any variation in the effects produced by it on plasma cortisol levels and markers of oxidative stress in erythrocytes of adult-female Wistar rats. Plasma cortisol and erythrocyte TBARS levels were significantly lower whereas erythrocyte GSH was significantly higher in rats kept in pyramid that was aligned on the four cardinal points--north, east, south and west, as compared to normal control rats. Although there was a significant difference in the plasma cortisol level between normal control group and the group of rats kept in randomly aligned pyramid, there was no significant difference between these two groups for the other parameters. Erythrocyte TBARS levels in the group of rats kept in the randomly aligned pyramid was significantly higher than that in the group kept in the magnetically aligned pyramid. The results suggest that the north-south alignment of the pyramid is crucial for its expected effects.
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The ability to detect and transmit novel events is essential for adaptive behavior in uncertain environments. Here, we investigate how holographically triggered, unanticipated action potentials propagate through the primary visual cortex of resting mice, focusing on pyramidal neuron communication. We find that these novel spikes - uncorrelated with ongoing activity - exert a disproportionately large influence on neighboring neurons, whose response scales as a power law (exponent ∼0.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Molecular, Cellular, and Biomedical Sciences; College of Life Sciences and Agriculture, University of New Hampshire, 46 College Road, Durham, NH 03824.
The primary cilia of pyramidal neurons in inside-out laminated regions orient predominantly toward the pial surface, reflecting reverse soma re-positioning during postnatal development. However, the mechanisms underlying the directional cilia orientation and reverse movement are unknown. Here we show that the primary cilia of pyramidal neurons are localized near the base of the apical dendrites and aligned on the nuclear side opposite to the axon initial segment.
View Article and Find Full Text PDFMar Pollut Bull
August 2025
College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China. Electronic address:
As underwater ecosystems face escalating threats from increasing anthropogenic debris, autonomous monitoring and removal have become critical. Here we present LCSA-DETR, a lightweight object detection model optimized for deployment on resource-constrained autonomous underwater vehicles (AUVs). Built upon RT-DETR, LCSA-DETR introduces four core modifications to improve efficiency and detection performance: (i) replacement of the ResNet-18 backbone with StarNet to reduce computational complexity; (ii) a lightweight cross-stage aggregation encoder (LC-Encoder) with skip connections and feature alignment to enhance parameter efficiency; (iii) an adaptive kernel fusion block (AKFB) for improved multi-scale feature representation; and (iv) a bidirectional feature pyramid network (BiFPN) with dynamic weighting to enable effective feature fusion.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Navigation and Ship Engineering College, Dalian Ocean University, Dalian 116023, China.
This study aims to develop an enhanced YOLO algorithm to improve the ship detection performance of synthetic aperture radar (SAR) in complex marine environments. Current SAR ship detection methods face numerous challenges in complex sea conditions, including environmental interference, false detection, and multi-scale changes in detection targets. To address these issues, this study adopts a technical solution that combines multi-level feature fusion with a dynamic detection mechanism.
View Article and Find Full Text PDFSensors (Basel)
August 2025
School of Mines, China University of Mining and Technology, Xuzhou 221116, China.
Environmental perception is crucial for achieving autonomous driving of auxiliary haulage vehicles in underground coal mines. The complex underground environment and working conditions, such as dust pollution, uneven lighting, and sensor data abnormalities, pose challenges to multimodal fusion perception. These challenges include: (1) the lack of a reasonable and effective method for evaluating the reliability of different modality data; (2) the absence of in-depth fusion methods for different modality data that can handle sensor failures; and (3) the lack of a multimodal dataset for underground coal mines to support model training.
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