Sub-GMN: The Neural Subgraph Matching Network Model

As one of the most fundamental tasks in graph theory, subgraph matching is a crucial task in many fields, ranging from information retrieval, computer vision, biology, chemistry and natural language processing. Yet subgraph matching problem remains to be an NP-complete problem. This study proposes an end-to-end learning-based approximate method for subgraph matching task, called subgraph matching network (Sub-GMN). The proposed Sub-GMN firstly uses graph representation learning to map nodes to node-level embedding. It then combines metric learning and attention mechanisms to model the relationship between matched nodes in the data graph and query graph. To test the performance of the proposed method, we applied our method on two databases. We used two existing methods, GNN and FGNN as baseline for comparison. Our experiment shows that, on dataset 1, on average the accuracy of Sub-GMN are 12.21\% and 3.2\% higher than that of GNN and FGNN respectively. On average running time Sub-GMN runs 20-40 times faster than FGNN. In addition, the average F1-score of Sub-GMN on all experiments with dataset 2 reached 0.95, which demonstrates that Sub-GMN outputs more correct node-to-node matches. Comparing with the previous GNNs-based methods for subgraph matching task, our proposed Sub-GMN allows varying query and data graphes in the test/application stage, while most previous GNNs-based methods can only find a matched subgraph in the data graph during the test/application for the same query graph used in the training stage. Another advantage of our proposed Sub-GMN is that it can output a list of node-to-node matches, while most existing end-to-end GNNs based methods cannot provide the matched node pairs

A TRPV4-dependent neuroimmune axis in the spinal cord promotes neuropathic pain

Microglia, resident macrophages of the CNS, are essential to brain development, homeostasis, and disease. Microglial activation and proliferation are hallmarks of many CNS diseases, including neuropathic pain. However, molecular mechanisms that govern the spinal neuroimmune axis in the setting of neuropathic pain remain incompletely understood. Here, we show that genetic ablation or pharmacological blockade of transient receptor potential vanilloid type 4 (TRPV4) markedly attenuated neuropathic pain-like behaviors in a mouse model of spared nerve injury. Mechanistically, microglia-expressed TRPV4 mediated microglial activation and proliferation and promoted functional and structural plasticity of excitatory spinal neurons through release of lipocalin-2. Our results suggest that microglial TRPV4 channels reside at the center of the neuroimmune axis in the spinal cord, which transforms peripheral nerve injury into central sensitization and neuropathic pain, thereby identifying TRPV4 as a potential new target for the treatment of chronic pain

Estimation of Near-Ground Ozone With High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model

Recently, the near-ground ozone pollution has become an important factor restricting economic development and ecological environment protection. Due to the aging equipment of satellite sensors and the limitations of spatial resolution, the current approach utilizing satellite remote sensing observation faces challenges in effectively monitoring small-scale areas with sufficient data. Taking the near-ground ozone concentration as the research object, this article combined multiple classical machine learning (ML) methods based on tree models and developed a temporally ensemble model to achieve the estimation of near-surface ozone in the 1 km2 area of the Yangtze River Delta region in China. In the ensemble model, the coefficient of determination (R2) of the 10-fold cross-validation was 0.91, and the root-mean-square error was 9.21 μg/m3. All evaluation indicators confirm that our approach was more accurate than some conventional ML models. The predicted spatial errors were evenly distributed, which indicated the superior spatial stationarity of the ensemble model. On the temporal scale, the ozone distribution predicted by the model agreed well with the results of ground-based meteorological station monitoring, both showing distinct seasonal trends. On the spatial scale, the model output reflected well the refined spatial variation of near-ground ozone at a small scale and captured the “medium-high-low” trend of near-ground ozone concentration in Shanghai and the trend of “low-medium” in Hangzhou, China. In contrast, the satellite observation data cannot well reflect the differences in details. In the future, this model will have good application potential in the refined monitoring of polluting gases across the country

Reduced white fat mass in adult mice bearing a truncated Patched 1

Hedgehog (Hh) signaling emerges as a potential pathway contributing to fat formation during postnatal development. In this report, we found that Patched 1 (Ptc1), a negative regulator of Hh signaling, was expressed in the epididymal fat pad of adult mice. Reduced total white fat mass and epididymal adipocyte cell size were observed in naturally occurring spontaneous mesenchymal dysplasia (mes) adult mice (Ptc1mes/mes), which carry a deletion of Ptc1 at the carboxyl-terminal cytoplasmic region. Increased expression of truncated Ptc1, Ptc2 and Gli1, the indicators of ectopic activation of Hh signaling, was observed in epididymal fat pads of adult Ptc1mes/mes mice. In contrast, expression of peroxisome proliferator-activated receptor gamma, CCAAT/enhancer binding protein alpha, adipocyte P2 and adipsin were reduced in epididymal fat pads of adult Ptc1mes/mes mice. Taken together, our results indicate that deletion of carboxyl-terminal tail of Ptc1 can lead to the reduction of white fat mass during postnatal development.</p

Pyroptosis, inflammasome, and gasdermins in tumor immunity

The gasdermins (GSDM), a family of pore-forming proteins, consist of gasdermin A (GSDMA), gasdermin B (GSDMB), gasdermin C (GSDMC), gasdermin D (GSDMD), gasdermin E (GSDME) and DFNB59 (Pejvakin (PJVK)) in humans. These proteins play an important role in pyroptosis. Among them, GSDMD is the most extensively studied protein and is identified as the executioner of pyroptosis. Other family members have also been implicated in certain cancers. As a unique form of programmed cell death, pyroptosis is closely related to tumor progression, and the inflammasome, an innate immune mechanism that induces inflammation and pyroptosis. In this review, we explore the current developments of pyroptosis, the inflammasome, and especially we review the gasdermin family members and their role in inducing pyroptosis and the possible therapeutic values in antitumor effects

Dinamične in fazno-frekvenčne lastnosti nestabilnosti rotorja zaradi vibracij na tesnilu, vzbujenih s tokom pare

Steam flow excited vibration in seals seriously affects the seal-rotor stability. A mesh deformation based on user-defined functions was adopted to establish the multi-frequency whirl model, and the reliability of the simulation method was verified by experiments. The average effective damping and working ability of the fluid were proposed to analyse the stability of the seal. The mechanism of seal instability induced by steam flow excited vibration was revealed through the phase-frequency characteristics of exciting forces and displacements. The results show that direct damping decreases gradually with an increase in frequency, and the cross-coupling damping tends to be stable over 15 Hz. The average effective damping is more sensitive and accurate in predicting the seal stability. Effective damping decreases with increased frequency. Therefore, the rotor stability is decreased. Near the 12 Hz and 24 Hz frequencies, the average effective damping of eccentricity fluctuates, so the seal stability is poor. The negative effect of exciting forces increases, and the seal stability is improved when the eccentricity increases. When the phase difference between the excitation force and displacement changes, the seal stability decreases. The fundamental reason for rotor instability induced by steam flow excited vibration in seals is the sharp changes of phase difference caused by pressure fluctuations