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Abstract Objective To investigate the incidence of and risk factors associated with negative postoperative behavioral changes (NPOBCs) in children undergoing painless gastroscopy. Methods Inclusion criteria: ASA I–II and outpatients aged 6–12 years undergoing painless gastroscopy. Exclusion criteria: history of surgery or anesthesia, children with developmental or intellectual abnormalities, refusal to participate, preoperative abdominal pain score > 3 points, history of chronic abdominal pain of > 3 months duration, and serious intraoperative complications. On the 1st, 14th, and 30th day after the gastroscopy, the Post Hospitalization Behavior Questionnaire for Ambulatory Surgery (PHBQ-AS) was used to assess NPOBCs in children. Results A total of 1,670 children were included in this prospective observational cohort study. The incidence rates of NPOBCs were 14.13%, 4.55%, and 2.14% on the 1st, 14th, and 30th day after gastroscopy, respectively. The risk factors for the first day were female sex (OR 1.34, 95% CI 1.00–1.79), parental anxiety (OR 2.23, 95% CI 1.75–3.12), and severe anxiety in children (OR 2.83, 95% CI 1.96–4.07). The risk factors on the 14th day were parental anxiety (OR 3.71, 95% CI 2.19–6.29), a parental educational level above high school (OR 1.65, 95% CI 1.00–2.70), and severe anxiety in children (OR 11.87, 95% CI 5.85–24.07). The risk factors on the 30th day were female sex (OR 2.99, 95% CI 1.41–6.34), being an only child (OR 4.42, 95% CI 2.18–8.95), a parental educational level above high school (OR 2.66, 95% CI 1.27 NPOBCs 5.56), and severe anxiety in children (OR 6.84, 95% CI 2.84–16.49). Conclusion In children undergoing painless gastroscopy, the incidence rates of NPOBCs on the 1st, 14th, and 30th day were 14.13%, 4.55%, and 2.14%, respectively. The risk factors for NPOBCs were severe anxiety in children, female sex, parental anxiety, and a parental educational level above high school. In particular, severe preoperative anxiety in children was a persistent risk factor for NPOBCs within 30 days.

Low Earth orbit (LEO) satellite communication (SATCOM) networks have gradually been recognized as an efficient solution to enhance ground-based wireless networks. As one of the main characteristics of LEO SATCOM, the beam-edge area could be covered by multiple satellite nodes. In this case, user terminals (UTs) located at the beam-edge have the chance to connect one or more LEO satellites. To develop the diversity gain of multiple nodes in the overlapping area, we propose two high spectral efficiency cooperative transmission strategies, i.e., directly combining (DC) and selection combining (SC). In the DC scheme, signals arrived at the UT simultaneously could be combined into one enhanced signal. For downlink time division multiplexing, the SC scheme enables the UT to select the strongest signal path. Further, as there exists a significant channel gain difference of the beam-center and beam-edge areas, UTs in these two areas can be allocated in one resource block. In this case, we derive co-carriers based on DC and SC, respectively. To deeply analyze the novel methods, we study the ergodic sum-rate and outage probability while the outage diversity gain is further provided. Simulation results show that the co-carrier-based DC method has the ability to provide a higher ergodic sum-rate while the SC method performs better in terms of the outage probability. [ABSTRACT FROM AUTHOR]

In response to the inaccurate positioning of traditional camera relocation methods in scenes with large-scale or severe viewpoint changes, this study proposes a camera relocation method based on a cascaded graph neural network to achieve accurate scene relocation. Firstly, the NetVLAD retrieval method, which has advantages in image feature representation and similarity calculation, is used to retrieve the most similar images to a given query image. Then, the feature pyramid is employed to extract features at different scales of these images, and the features at the same scale are treated as nodes of the graph neural network to construct a single-layer graph neural network structure. Secondly, a top–down connection is used to cascade the single-layer graph structures, where the information of nodes in the previous graph is fused into a message node to improve the accuracy of camera pose estimation. To better capture the topological relationships and spatial geometric constraints between images, an attention mechanism is introduced in the single-layer graph structure, which helps to effectively propagate information to the next graph during the cascading process, thereby enhancing the robustness of camera relocation. Experimental results on the public dataset 7-Scenes demonstrate that the proposed method can effectively improve the accuracy of camera absolute pose localization, with average translation and rotation errors of 0.19 m and 6.9°, respectively. Compared to other deep learning-based methods, the proposed method achieves more than 10% improvement in both average translation and rotation accuracy, demonstrating highly competitive localization precision. [ABSTRACT FROM AUTHOR]

Melanoma is an aggressive malignant tumor with a poor prognosis. Vemurafenib (PLX4032, vem) is applied to specifically treat BRAF V600E‐mutated melanoma patients. However, prolonged usage of vem makes patients resistant to the drug and finally leads to clinical failure. We previously tested the combination regimen of tubulin inhibitor VERU‐111 with vem, as well as USP14 selective inhibitor b‐AP15 in combination with vem, both of which have showed profound therapeutic effects in overcoming vem resistance in vitro and in vivo. Most importantly, we discovered that vem‐resistant melanoma cell lines highly expressed E3 ligase SKP2 and DUB enzyme USP14, and we have demonstrated that USP14 directly interacts and stabilizes SKP2, which contributes to vem resistance. These works give us a clue that USP14 might be a promising target to overcome vem resistance in melanoma. MitoCur‐1 is a curcumin derivative, which was originally designed to specifically target tumor mitochondria inducing redox imbalance, thereby promoting tumor cell death. In this study, we have demonstrated that it can work as a novel USP14 inhibitor, and thus bears great potential in providing an anti‐tumor effect and sensitizing vem‐resistant cells by inducing ferroptosis in melanoma. Application of MitoCur‐1 dramatically induces USP14 inhibition and inactivation of GPX4 enzyme, meanwhile, increases the depletion of GSH and decreases SLC7A11 expression level. As a result, ferrous iron‐dependent lipid ROS accumulated in the cell, inducing ferroptosis, thus sensitizes the vem‐resistant melanoma cell. Interestingly, overexpression of USP14 antagonized all the ferroptosis cascade events induced by MitoCur‐1, therefore, we conclude that MitoCur‐1 induces ferroptosis through inhibition of USP14. We believe that by inhibition of USP14, vem resistance can be reversed and will finally benefit melanoma patients in future. [ABSTRACT FROM AUTHOR]