Browse Articles

Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm

Abstract Thanks to the rapid development of image processing technology, the efficiency and accuracy of power inspection have been enhanced through deep learning techniques. However, during on-site inspections, the complexity of the background images of composite insulators often makes it difficult to directly extract key features for accurately assessing hydrophobicity levels. Moreover, considering the real-time requirements for insulator hydrophobicity detection in practical operations, the model must be lightweight to speed up the detection process. To address this issue, this paper proposes a YOLO algorithm for the precise detection of composite insulator hydrophobicity. The algorithm integrates a high-performance GPU network (HGNetv2), a mixed local channel attention mechanism (MLCA), lightweight convolution (CSPPC), and the Inner-WIoU loss function, significantly reducing the network’s burden and improving the accuracy of recognizing composite insulator sheds and classifying their hydrophobicity levels. By adopting a strategy of identifying insulator sheds and then classifying their hydrophobicity levels, precise detection of hydrophobicity is achieved. Experimental results show that the proposed AHC-YOLO algorithm has increased the detection accuracy of sheds by 5.77%, with GFLOPs reduced to 5.8. In the task of classifying hydrophobicity levels, the Top-1 accuracy has been improved by 4.994%, with GFLOPs reduced to 1.9. These achievements not only meet the needs for the detection and classification of composite insulator hydrophobicity but also further demonstrate the effectiveness and superiority of the algorithm through ablation and comparative experiments.

In vitro reconstitution of meiotic DNA double-strand-break formation

Constructive-destructive neighbor search drives artificial bee colony algorithm for variable speed green hybrid flowshop scheduling problem

Internal friction evidence for the carbides-formation in the high Co–Ni martensite steel during heat treatment

Abstract The internal friction (IF) behaviors, combined with X-ray diffraction (XRD), dilatometry, and transmission electron microscopy (TEM) analysis of the cryogenic treated and tempered M54 steel were systematically investigated. In IF-temperature curves, the peak P1 was proved to be a Snoek-Ke-Koester (SKK) relaxation peak associated with interstitial carbon atoms in martensite matrix according to its activation energy. The peak P2 and P3 were attributed to reverse martensite transformation and martensite transformation, respectively, during the thermal cycle. Based on the analysis results of IF, XRD and TEM, M2C precipitation indeed occurred during tempering, leading to final ultra-high strength and hardness of the aged M54 steel.

Computationally designed multi-epitope vaccine construct targeting the SARS-CoV-2 spike protein elicits robust immune responses in silico

Evolution of coopetition between real estate enterprises and urban investment construction companies under an agent construction system

Neural correlates of suppressing and imagining future threat

Abstract Suppressing upsetting thoughts can cause psychological distress but might also enhance mental health when used flexibly to suppress the imagination of future threat during challenging times. To investigate the neural correlates of suppressing and imagining future threat, a cohort of 65 participants underwent a previously examined "Imagine/No-Imagine" paradigm while examining brain activation using magnetic resonance imaging. We observed activity of the inferior frontal gyrus, middle frontal gyrus (MFG), superior parietal lobule, and superior occipital sulcus during thought suppression, whereas imagining future threat elicited activation in the bilateral posterior cingulate cortex (PCC) and ventromedial prefrontal cortex (vmPFC). Subjective levels of anxiety, stress, and depression as covariates did not alter these results. To further examine the group and individual-level network dynamics, we conducted dynamic causal modeling (DCM) and group iterative multiple model estimations (GIMME). The DCM model showed that during suppression, the MFG positively influenced the vmPFC and right PCC. In contrast, the vmPFC and the left and right PCC showed positive connections to the MFG during imagining. This suggests that the neural correlates of self-regulation involve an information flow between the PCC and the PFC. In addition, GIMME identified group-level connections between the right and left PCC and between the left PCC and vmPFC, reflecting the information flow during suppression and imagination of future threat, respectively. Considerable interindividual heterogeneity in the connectivity patterns became apparent, pointing to the existence of different biotypes.

Analysis of the mitochondrial genome of Neuroctenus hainanensis and the phylogenetic position of Aradoidea

Analysis of ABCG2 gene rs2231142 single nucleotide polymorphism and risk factors in hyperuricemia

Gallic and glycyrrhetinic acids prevent azithromycin-induced liver damage in rats by mitigating oxidative stress and inflammation

Characterization and confirmation of the long lifetime of a-decade-aged hydroxyapatite ceramic electrets

Regulation of WNT16 in bone may involve upstream enhancers within CPED1

A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models

NASA begins mass firings of scientists ahead of Trump team’s deadline

Endovascular neural stimulation with platinum and platinum black modified electrodes

Abstract Recent work has shown the ability to record neural behaviour in pre-clinical studies from an endovascular location for over a year. Previous work on stimulating neural tissue from an endovascular location has also shown motor-evoked responses in sheep. However, endovascular stimulation requires high currents and can result in electrode degradation. This study aimed to modify an endovascular electrode to increase its charge injection capacity for efficacious neural stimulation. The platinum endovascular electrode was modified with platinum black and characterised by electrochemical and microscopic techniques. The stability of the electrode coating was assessed after a 7-day continuous stimulation paradigm. Modelling of the neural activating function was performed for central and peripheral neural anatomy with both electrode materials. Platinum black coatings had a substantially larger electroactive area than uncoated platinum. This resulted in increased electrode admittance, charge storage capacity and charge injection capacity while reducing the total impedance at 10 Hz and polarisation voltage. The coated electrode was comparatively more electrochemically stable than uncoated platinum following the 7-day continuous stimulation protocol. Modelling of the neural activating function indicated a substantial increase in the electrode-neuron distance which could be safely stimulated using platinum black coated electrodes. By comparison of electrochemical response with neural modelling, we have demonstrated the feasibility of safe stimulation of neural tissue using an endovascular neural interface, opening the possibility of a new, minimally invasive neural stimulation paradigm.

Discovery of a human parvovirus B19 analog (Erythroparvovirus) in cats

Influence of deficit irrigation and biochar amendment on growth, physiology, and yield of cucumber in West Texas

Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism

Current situation and related factors of fatigue among doctors and nurses in tertiary general hospitals in Northeast China

SPO11 dimers are sufficient to catalyse DNA double-strand breaks in vitro

Abstract SPO11 initiates meiotic recombination through the induction of programmed DNA double-strand breaks (DSBs)1,2, but this catalytic activity has never been reconstituted in vitro3,4. Here, using Mus musculus SPO11, we report a biochemical system that recapitulates all the hallmarks of meiotic DSB formation. We show that SPO11 catalyses break formation in the absence of any partners and remains covalently attached to the 5′ broken strands. We find that target site selection by SPO11 is influenced by the sequence, bendability and topology of the DNA substrate, and provide evidence that SPO11 can reseal single-strand DNA breaks. In addition, we show that SPO11 is monomeric in solution and that cleavage requires dimerization for the reconstitution of two hybrid active sites. SPO11 and its partner TOP6BL form a 1:1 complex that catalyses DNA cleavage with an activity similar to that of SPO11 alone. However, this complex binds DNA ends with higher affinity, suggesting a potential role after cleavage. We propose a model in which additional partners of SPO11 required for DSB formation in vivo assemble biomolecular condensates that recruit SPO11–TOP6BL, enabling dimerization and cleavage. Our work establishes SPO11 dimerization as the fundamental mechanism that controls the induction of meiotic DSBs.