Explore the vast range of titles available.

Background Plate erosion of the sternum leading to hemorrhage during NUSS bar removal procedure for pectus excavatum is a very rare complication, and the few cases reported worldwide are currently only briefly described in the statistical results. Case presentation A 22-year-old female patient underwent a surgical repair for pectus excavatum(Nuss procedure)2.5 years ago. During the removal of the bars in our center, we found that there was great resistance when removing the upper Nuss bar, and a rapid flow of bright red hemorrhage flowed from both incisions immediately after removal. A longitudinal sternotomy confirmed that the plate had eroded into the sternum and damaged the internal thoracic artery during removal. Conclusion We should pay attention to the interpretation of preoperative images before the removal of orthopedic plates for pectus excavatum, and the correct preoperative preparation and intraoperative strategy can help to reduce the incidence of hemorrhage.

Underwater vibration detection is of great importance in personal safety, environmental protection, and military defense. Sealing layers are required in many underwater sensor architectures, leading to limited working‐life and reduced sensitivity. Here, a flexible, superhydrophobic, and conductive tungsten disulfide (WS2) nanosheets‐wrapped sponge (SCWS) is reported for the high‐sensitivity detection of tiny vibration from the water surfaces and from the grounds. When the SCWS is immersed in water, a continuous layer of bubbles forms on its surfaces, providing the sensor with two special abilities. One is sealing‐free feature due to the intrinsic water‐repellent property of SCWS. The other is functioning as a vibration‐sensitive medium to convert mechanical energy into electric signals through susceptible physical deformation of bubbles. Therefore, the SCWS can be used to precisely detect tiny vibration of water waves, and even sense those caused by human footsteps, demonstrating wide applications of this amphibious (water/ground) vibration sensor. Results of this study can initiate the exploration of superhydrophobic materials with elastic and conductive properties for underwater flexible electronic applications. A flexible, superhydrophobic, and conductive tungsten disulfide (WS2) nanosheets‐wrapped sponge is reported for the high‐sensitivity detection of tiny vibration from the water surface and from the ground. Results of this study can initiate the exploration of superhydrophobic materials with elastic and conductive properties for underwater flexible electronic applications.

Simultaneously optimizing elementary steps, such as water dissociation, hydroxyl transferring, and hydrogen combination, is crucial yet challenging for achieving efficient hydrogen evolution reaction (HER) in alkaline media. Herein, Ru single atom‐doped WO 2 nanoparticles with atomically dispersed Ru–W pair sites (Ru–W/WO 2 ‐800) are developed using a crystalline lattice‐confined strategy, aiming to gain efficient alkaline HER. It is found that Ru–W/WO 2 ‐800 exhibits remarkable HER activity, characterized by a low overpotential (11 mV at 10 mA cm −2 ), notable mass activity (5863 mA mg −1 Ru at 50 mV), and robust stability (500 h at 250 mA cm −2 ). The highly efficient activity of Ru–W/WO 2 ‐800 is attributed to the synergistic effect of Ru–W sites through ensemble catalysis. Specifically, the W sites expedite rapid hydroxyl transferring and water dissociation, while the Ru sites accelerate the hydrogen combination process, synergistically facilitating the HER activity. This study opens a promising pathway for tailoring the coordination environment of atomic‐scale catalysts to achieve efficient electro‐catalysis.

Background Inflammatory myofibroblastic tumor (IMT), also known as an inflammatory pseudotumor, is a unique type of intermediate soft tissue tumor that commonly occurred in the lung. Its unclear etiology and cellular activity brought about the confusion not only in naming of it, but also in diagnosis and treatment. Case presentation We reported the case of an 18-year-old male student who suffered from shortness of breath, chest tightness and chest pain. Chest computed tomography scan showed a spherical neoplasm blocking left main stem bronchus. After fiberoptic bronchoscopy procedure, the results of histopathological and immunohistochemical analysis indicated an IMT. The targeted next generation sequencing based genomic profiling of the tumor using formalin-fixed and paraffin embedded tissue was performed and a EML4-ALK fusion was detected. The patient began to receive Crizotinib, a ALK tyrosine kinase inhibitor, at a dose of 250 mg twice daily orally. The patient has recovered well after the operation, and no recurrence or metastasis has been found after 12 months’ follow-up. Conclusion By means of the diagnosis and treatment of this case, the characteristics and therapies of IMT are illustrated. In addition, it also provides a reference for the therapeutic strategy of IMT in the future.

Short-term control measures are often implemented during major events to improve air quality and protect public health. In preparation for the 11th National Traditional Games of Ethnic Minorities of China (denoted as “NMG”), held from 8 to 16 September 2019 in Zhengzhou, China, the authorities introduced several air pollution control measures, including traffic restrictions and dust control. In the study presented herein, we applied automated machine learning-based weather normalisation combined with an augmented synthetic control method (ASCM) to evaluate the effectiveness of these interventions. Our results show that the impacts of the NMG control measures were not uniform, varying significantly across pollutants and monitoring stations. On average, nitrogen dioxide (NO2) concentrations decreased by 8.6% and those of coarse particles (PM10) decreased by 3.0%. However, the interventions had little overall effect on fine particles (PM2.5), despite clear reductions observed at the traffic site, where NO2 and PM2.5 levels decreased by 7.2 and 5.2 μg m−3, respectively. These reductions accounted for 56.3% of the NMG policy’s effect on NO2 concentration and 73.2% of its effect on PM2.5 concentration at the traffic site. Notably, the control measures led to an increase in ozone (O3) concentrations. Our results demonstrate the moderate effect of the short-term NMG intervention, emphasising the necessity for holistic strategies that address pollutant interactions, such as nitrogen oxides (NOX) and volatile organic compounds (VOCs), as well as location-specific variability to achieve sustained air quality improvements.

In a DC distribution network, the solid-state transformer (SST) and energy storage systems require an isolated bidirectional DC–DC converter (IBDC). Among the many IBDCs, the dual active bridge (DAB) converter has been widely studied due to its advantages in terms of high power density and high efficiency. The traditional control strategy for DAB is phase shift control. However, when the primary and secondary side voltages do not match, the soft-switching characteristic and increasing current in the phase shift control affect the application of DAB in scenarios involving input and output voltage changes. To improve the above-mentioned defects, a novel asymmetric duty modulation (ADM) control is proposed in this paper. Among the various multi-variable ADM controls, the two-variable ADM control is simple, but its current is higher under light loads. To improve this defect, this paper introduces trapezoidal modulation (TZM) control proposed for phase shift control into ADM to form a similar TZM (STZM) control corresponding to TZM control. This paper first expounds the basic principle of STZM control. On this basis, its basic characteristics are researched. With current stress as the optimization goal, an optimal STZM (OSTZM) control scheme with minimum current stress is proposed, and the effectiveness of the theoretical analysis is verified on the experimental bench. The result shows that STZM control can improve efficiency under light loads by reducing the current and ensuring full ZVS.

The tailoring of the charge transfer between support material and transition metal active phase is an effective strategy for fine tuning the electronic structure of the catalyst active site, and hence improving the activity and stability of the reaction. This works presents that Co nanoparticles supported on N‐doped mesoporous hollow carbon nanospheres (Co/NMHCS) decouple the effect of electronic structure on catalytic performance. The detailed experimental and theoretical results reveal the charge distribution at the Co/NMHCS interface due to N‐doped MHCS. With tuning the electron redistribution, the interface between Co nanoparticles and NMHCS as the active site shows the strong capability to adsorb and reduce the OOH* and proton, thus leading to the optimal ORR, OER, and HER activity in Co/NMHCS. Furthermore, Co/NMHCS‐based Zn–air battery exhibits high power density of 185 mW cm−2, and high gravimetric energy density of 753 mAh gZn−1. Density functional theory (DFT) reveals the electrons accumulate directly on the NMHCS support, which originates from an interplay between Co nanoparticles and the NMHCS support. This work provides constructive guidance for precisely regulating the interface electronic structures to achieve excellent electrocatalytic performance. Interfacial electron distribution Co nanoparticles supported on N‐doped mesoporous for ORR, OER, and HER via pre‐precipitation method followed by thermal treatment strategy is investigated. Such Co nanoparticles supported on N‐doped mesoporous catalysts also exhibit remarkable performance for Zn–air batteries and overall water splitting. This work paves a new way for constructing electrocatalysts in electrochemical energy devices.

Flooding duration and sediment texture play vital roles in the growth and adaptation of wetland plants. However, there is a lack of research on the interactive effects of flooding duration and sediments on wetland plants. A two-factor experiment with flooding duration and sediment texture was designed in the study, involving three plant species commonly found in the Poyang Lake wetland (i.e., Carex cinerascens, Phalaris arundinacea, and Polygonum criopolitanum). Our findings were as follows: (i) Sediments play a crucial role in the growth and adaptation of hygrophilous plants, but they exhibited a weaker effect than flooding. (ii) Sediment texture mediates flooding to affect the stressing responses of wetland plant functional traits, including the leaf chlorophyll content, the plant height, and the number of leaves and ramets. (iii) Sediment texture forms interactive effects with flooding duration and directly influences hygrophilous plants. The results of this study help provide theoretical insights from a more scientific perspective for the prediction of hygrophilous plant dynamics and to facilitate the formulation of wetland management.

Small RNAs (sRNAs) are essential for regulating plant growth and development, and they possess the notable ability to travel long distances within organisms to regulate target gene expression. Our study examined the dcl2 mutant, a key enzyme in sRNA biogenesis, to determine the role of the DCL2 protein in sRNA synthesis and to identify mobile sRNAs under DCL2 regulation. Through grafting experiments between dcl2 mutants and wild-type soybean plants, coupled with sRNA sequencing, we identified 14,105 sRNAs significantly affected by DCL2 and discovered 375 mobile sRNAs under its regulation. Degradome analysis provided deeper insights into the regulatory effects of these mobile sRNAs on their target genes, enabling us to understand their potential influences on plant development and stress responses. Leveraging the systemic movement of sRNAs from roots to shoots, we propose a novel strategy for manipulating gene expression in aboveground tissues. Overall, our research findings not only deepen our understanding of the complex regulatory networks involving mobile sRNAs regulated by DCL2, but also provide a new strategy for gene regulation, which could have a positive impact on agricultural biotechnology.

Purpose In the context of precision medicine, radiomics has become a key technology in solving medical problems. For adenocarcinoma of esophagogastric junction (AEG), developing a preoperative CT-based prediction model for AEG invasion and lymph node metastasis is crucial. Methods We retrospectively collected 256 patients with AEG from two centres. The radiomics features were extracted from the preoperative diagnostic CT images, and the feature selection method and machine learning method were applied to reduce the feature size and establish the predictive imaging features. By comparing the three machine learning methods, the best radiomics nomogram was selected, and the average AUC was obtained by 20 repeats of fivefold cross-validation for comparison. The fusion model was constructed by logistic regression combined with clinical factors. On this basis, ROC curve, calibration curve and decision curve of the fusion model are constructed. Results The predictive efficacy of fusion model for tumour invasion depth was higher than that of radiomics nomogram, with an AUC of 0.764 vs. 0.706 in the test set, P  < 0.001, internal validation set 0.752 vs. 0.697, P  < 0.001, and external validation set 0.756 vs. 0.687, P  < 0.001, respectively. The predictive efficacy of the lymph node metastasis fusion model was higher than that of the radiomics nomogram, with an AUC of 0.809 vs. 0.732 in the test set, P  < 0.001, internal validation set 0.841 vs. 0.718, P  < 0.001, and external validation set 0.801 vs. 0.680, P  < 0.001, respectively. Conclusion We have developed a fusion model combining radiomics and clinical risk factors, which is crucial for the accurate preoperative diagnosis and treatment of AEG, advancing precision medicine. It may also spark discussions on the imaging feature differences between AEG and GC (Gastric cancer).