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Holographic navigation guidance technology mainly refers to the intraoperative holography navigation using a mixed-reality wearable computer, which can provide more probabilities to accurately remove the tumors and preserve more normal tissues. We reported a case of using this new technology to achieve precise resection of malignant bone tumors. The operation was successful, with short operative time, low blood loss, and good postoperative limb function recovery. The successful application of this technology is expected to effectively reduce the recurrence rate of malignant bone tumors, to reduce intraoperative blood loss and to avoid many perioperative complications. We believe that the novel application of holographic navigation guidance technology will bring good news to the precise and individualized treatment of bone tumor patients.

Objective: Allergic rhinitis (AR) is a growing public health problem worldwide. Respecting the significance of the modified Lund-Kennedy (MLK) score in rhinitis assessment, we delved into its evaluation value on the sublingual immunotherapy (SLIT) efficacy in AR patients. Methods: Totally 100 AR patients were enrolled, with pre- and post-SLIT MLK score, total nasal symptoms score (TNSS), total medication score (TMS), visual analogue scale (VAS), inflammatory cytokines, and immune function-related parameters compared. The correlations of MLK score with TNSS/TMS/VAS, as well as with IL-4/INF-γ/eosinophil (EOS)/percentage/specific immunoglobulin (sIgE)/sIgG were assessed by Spearman correlation analysis. The value of MLK score on assessing SLIT efficacy in AR patients was analyzed. Results: SLIT treatment reduced MLK/TNSS/TMS/VAS scores, abated IL-4 level/EOS percentage/sIgE, and elevated INF-γ/sIgG levels. MLK score was positively correlated with pre- and post-SLIT TNSS score (rpre−treatment = 0.592, rpost−treatment = 0.756), TMS score (rpre−treatment = 0.385, rpost−treatment = 0.718), VAS score (rpre−treatment = 0.369, rpost−treatment = 0.704), IL-4 (rpre−treatment = 0.553, rpost−treatment = 0.639), EOS percentage (rpre−treatment = 0.511, rpost−treatment = 0.632), and sIgE (rpre−treatment = 0.472, rpost−treatment = 0.524), and negatively with INF-γ (rpre−treatment = −0.418, rpost−treatment = −0.578) and sIgG4 (rpre−treatment = −0.460, rpost−treatment = −0.613). The MLK score had an area under curve of 0.846 (77.01% sensitivity, 76.92% specificity, 4 cut-off value) and 0.944 (91.67% sensitivity, 92.11% specificity, 2 cut-off value) for assessing SLIT treatment as effective and markedly effective for the patients, respectively. Conclusion: The MLK score had good evaluation value on the efficacy of SLIT treatment in AR patients. [ABSTRACT FROM AUTHOR]

In recent years, graph neural networks (GNNs) have showcased a strong ability to learn graph representations and have been widely used in various practical applications. However, many currently proposed GNN‐based representation learning methods do not retain neighbor‐based node similarity well, and this structural information is crucial in many cases. To address this issue, drawing inspiration from generative adversarial networks (GANs), we propose PNS‐AGNN (i.e., Preserving Node Similarity Adversarial Graph Neural Networks), a novel framework for acquiring graph representations, which can preserve neighbor‐based node similarity of the original graph and efficiently extract the nonlinear structural features of the graph. Specifically, we propose a new positive sample allocation strategy based on a node similarity index, where the generator can generate vector representations that satisfy node similarity through adversarial training. In addition, we also adopt an improved GNN as the discriminator, which utilizes the original graph structure for recursive neighborhood aggregation to maintain the local structure and feature information of nodes, thereby enhancing the graph representation's ability. Finally, we experimentally demonstrate that PNS‐AGNN significantly improves various tasks, including link prediction, node classification, and visualization. [ABSTRACT FROM AUTHOR]

114 VOCs were continuously monitored online from January 1st to February 28th, 2021, to analyze the concentration levels and component characteristics of VOCs in Jiaxing, and evaluate ozone formation potential (OFP). The source of VOCs was explored by backward trajectory method and calculation of characteristic species pair ratio. Furthermore, health risk assessment of benzene series was carried out. The results showed that the average volume concentration of VOCs was 38.16x10-9, and the proportion of alkanes, oxygenated volatile organic compounds (OVOCs), halogenated hydrocarbons, olefins, aromatics and alkyns were 31.05%, 20.78%, 19.61%, 13.56%, 12.07% and 2.93%, respectively. The average volume concentration of VOCs during the Spring Festival was 16.82x10-9. The diurnal variation of alkanes, alkenes, aromatic hydrocarbons and halogenated hydrocarbons was consistent with VOCs, while OVOCs showed a fluctuating increase. As shown in OFP results, olefins and aromatic hydrocarbons contributed the most to OFP, and the crucial active species were toluene, propylene, m-p-xylene and ethylene, which were mainly affected by solvent volatilizing. During the Spring Festival, olefins and alkanes contributed the most to OFP, and the crucial active species were propylene, trans-2-butene and cis-2-butene, which were mainly affected by traffic sources. Combining the investigation of characteristic species pair ratio, backward trajectory and potential source contribution function, it can be concluded that VOCs in Jiaxing should be affected by transport and local emission. Among them, alkanes, halogenated hydrocarbons, olefins and aromatic hydrocarbons were jointly affected by regional transport and local emission, and OVOCs and alkynes were mainly local emission. In addition, the non-carcinogenic risk hazard quotient value of benzene series were within the safety threshold, whereas the carcinogenic risk value of benzene and m-xylene/p-xylene were beyond the safety threshold. The above findings can serve as a theoretical foundation for the control of VOCs pollution and the improvement of air quality during winter in Jiaxing. [ABSTRACT FROM AUTHOR]

Enzymes play a key role in natural mineralization, but their function is disabling in bone metabolism when patients suffer severe degenerations like hypophosphatasia. To regulate bone homeostasis, a self‐activating phosphorus‐rich system is proposed on calcium glycerophosphate (CaGP) modified polyurethane (PU) fibrous substrate, wherein ample enzyme catalytic domains are imported with intestinal alkaline phosphatase (IALP) chelating and activating by calcium in situ that is testified by chemical potential evaluation. Therefore, Ca‐bonding IALP catalyzes organophosphate to phosphate locally to achieve a calcified symbiotic state, regulating mineralization and accelerating osteoinduction in vitro and in vivo. The self‐activating enzyme system promotes early osteogenic differentiation and angiogenesis, resulting in rapid healing of cranial defect with a "long‐tail" effect compared to an enzyme‐assisted system. Transcriptomic and metabolomic analyses demonstrate positive associations with neovascularization and calcium/phosphorus metabolism, specifically upregulated glycerophospholipids and calcium ions in favor of osteogenic differentiation under cytokine‐free conditions. These results provide a potential enzyme‐activating therapy in bone homeostasis and regeneration. [ABSTRACT FROM AUTHOR]

The accurate perception of external environment information through the robot foot is crucial for the mobile robot to evaluate its ability to traverse terrain. Adequate foot-end contact signals can provide robust support for robot motion control and decision-making processes. The shape and uncertain rotation of the wheel-legged robot foot end represent a significant challenge to sensing the robot foot-end contact state, which current foot-end sensing schemes cannot solve. This paper presents a sensing method for the tire stress field of wheel-legged robots. A finite element analysis was conducted to study the deformation characteristics of the foot-end tire under force. Based on this analysis, a heuristic contact position estimator was designed that utilizes symmetrical deformation characteristics. Strain sensors, arranged in an array, extract the deformation information on the inner surface of the tire at a frequency of 200 Hz. The contact position estimator reduces the dimensionality of the data and fits the eigenvalues to the estimated contact position. Using support vector regression, the force estimator utilizes the estimated contact position and sensor signal to estimate the normal reaction force, designated as FZ. The sensing system is capable of detecting the contact position on the wheel circumference (with a root mean square error of 1.150°), as well as the normal force of 160 N on the Z axis (with a root mean square error of 6.04%). To validate the efficacy of the sensor detection method, a series of randomized and repeated experiments were conducted on a self-constructed test platform. This novel approach offers a promising avenue for perceiving contact states in wheel-legged robots. [ABSTRACT FROM AUTHOR]