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With the widespread adoption of smartphones， mobile phone addiction among adolescents has emerged as a challenging public health concern. This paper aims to undertake a comprehensive literature review on mobile phone addiction among high school students， both domestically and internationally. It primarily focuses on exploring the conceptual framework， measurement tools， epidemic status， influencing factors and intervention strategies associated with mobile phone addiction in this specific population， so as to provide references for interventions targeting mobile phone addiction among high school students， with the ultimate goal of reducing the incidence rate within this population. ［Funded by Sichuan Provincial Primary Health Development Research Center in 2022， North Sichuan Medical College （number， SWFZ22-C-89）， Mianyang City Social Science Research Key Base-Sichuan Mianyang Minor Psychological Growth Guidance and Research Center 2022 Annual Funding Project （number， SCWCN 2022YB07）］

ObjectiveTo investigate the mediating role of loneliness and social anxiety in the relationship between basic psychological needs satisfaction and smartphone addiction among high school students， and to provide references for the intervention to smartphone addiction for high school students.MethodsIn April 2022， a total of 14 666 high school students from 5 middle schools in a county of Sichuan Province were included by random sampling method. Basic Psychological Needs Scales （BPNS）， the UCLA Loneliness Scale-3 edition （UCLA-3）， Interaction Anxiousness Scale （IAS） and the Mobile Phone Addiction Index （MPAI） were used for cross-sectional investigation. Bootstrap method was used to analyze the mediating role of loneliness and social anxiety in the relationship between the basic psychological needs satisfaction and smartphone addiction.Results① In this study， 14 036 valid questionnaires were returned， and 1 752 （12.48%， 95% CI： 0.114~0.136） high school students were found to be addicted to smartphone phone. The BPNS score was negatively correlated with UCLA-3， IAS and MPAI scores （r=-0.771， -0.486， -0.417， P

N6-methyladenosine (m6A) is a representative of RNA methylation modification, which plays a critical role in the epigenetic modification process of regulating human diseases. As a key protein for m6A, methyltransferase 3 (METTL3) had been identified to be associated with a variety of diseases. The publications related to METTL3 were searched in the Web of Science Core Collection from the earliest mention to July 1st, 2022. Being screened by the retrieval strategy, a total of 1,738 articles related to METTL3 were retrieved. Much of our work focused on collecting the data of annual publication outputs, high-yielding countries/regions/authors, keywords, citations, and journals frequently published for qualitative and quantitative analysis. We found that diseases with high correlations to METTL3 not only included various known cancers but also obesity and atherosclerosis. In addition to m6A-related enzyme molecules, the most frequent key molecules were MYC proto-oncogene (C-MYC), Enhancer of zeste homolog 2 (EZH2), and Phosphatase and tensin homolog deleted on chromosome 10 (PTEN). METTL3 and methyltransferase 14 (METTL14) may function through opposite regulatory pathways in the same disease. “Leukemia,” “Liver Cancer,” and “Glioblastoma” were speculated to be potential hotspots in METTL3 related study. The number of publications had significantly surged year by year, demonstrating the growing importance of the research on epigenetic modification in the pathology of various diseases.

The compact torus (CT) injection device, widely known as a magnetized coaxial plasma gun, creates self-contained magnetic field structures, known as plasmoids, which exhibit high densities and velocities. Owing to its remarkable energy density, the CT injection device holds immense potential for tokamak core fueling, rendering it promising for future fusion reactor applications. This paper presents a novel algorithm, comprising a segmentation module based on the UNet neural network and a tracking module leveraging the simple online and real-time tracking (SORT) algorithm, developed for detecting and tracking plasmoids in visible images. The algorithm is specifically designed for the recently manufactured CT injection system of the EAST tokamak, known as EAST-CTI [Kong et al., Plasma Sci. Technol. 25(6), 065601 (2023)]. Our analysis reveals the presence of multiple plasmoids within the plasma flow ejected by the EAST-CTI system. The UNet convolutional neural network successfully detects these plasmoids, achieving a dice coefficient of 0.813 on the test dataset, indicating high accuracy. Meanwhile, a modified version of the SORT algorithm successfully tracks these plasmoids, demonstrating robust performance without false tracking or identity assignment errors. Overall, the developed algorithm offers critical insights into the evolution characteristics of CTs and meets the requirements of the EAST-CTI system's visible imaging diagnostics. This advancement creates a favorable environment for extensive data analysis using imaging data in future research endeavors. [ABSTRACT FROM AUTHOR]

The new energy system aims to provide reliable, affordable and sustainable energy, and ultimately achieve carbon neutrality. But the unstable renewable energy sources including wind and solar increase the risk to the grid and the power system. The pumped–storage power stations are a good solution to compensate then fluctuating energy and can increase the robustness of the grid. However, the pump–turbine units also suffer from high pressure-pulsations, especially at off-design operating conditions. The flow inside the unit under off-design conditions has very complex hydrodynamic characteristics and generates significant stresses in the prototype pump–turbine units. This work investigates the transient flow characteristics of an extra– high–head pump–turbine prototype with splitter– blades with unsteady CFD simulations. The results show that the pressure-pulsation caused by rotor-stator interaction is the dominant pressure-excitation to the pump– turbine prototype. The excitation frequency is strongly related to the blade number in the rotating frame and the guide-vane number in the non- rotating frame, as well as the rotating frequency of the unit. The flow characteristics at a high pressure-pulsation working condition are extremely complex and unstable. It reduces the efficiencies of the pump–turbine prototype and can generate severe vibrations and stresses on the structural component of the unit. The calculated results of this research can be applied to the structural model to invest in the dynamic characteristics of the pump–turbine unit in the next step.

During transient processes in extra–high–head pumped–storage power plants, the prototype pump–turbine-units must be able to withstand sudden changes in water pressure within the delivery system. Extremely high or low pressures can act on structures in the short or long term and can cause damage, challenging the efficient, safe and healthy operation of prototype pump–turbine-units. So it is very important to adequately evaluate the structural robustness and stability of the extra–high–head pump–turbine prototype in the design period. In this study, the structural characteristics of an extra–high– head prototype pump–turbine-unit at extreme-pressure working- conditions were conducted. First, the full-scale CAD geometries for the prototype pump–turbine-unit were created. Next, the CAD geometries were meshed with tetrahedron elements to obtain the numerical simulation model. Then apply the extreme- pressure loads on the simulation model to evaluate the structural deformation and stress of the pump–turbine-unit prototype. From calculation results, it can be found that the stresses on some structural components are beyond the yield strength, and the high-stress locations have to be redesigned to meet the industrial requirement. Based on the calculation results, technical recommendations are given to optimize the current design. The developed evaluation method in this study can also be applied to evaluate pressured pipes, tanks, and other forms of fluid machinery.

Climate change is poised to exert a significant impact on species distribution in the future, and Taxus cuspidata as an endangered species is no exception. Predicting the potential distribution of T. cuspidata is essential for decision‐makers to develop conservation policies and explicitly implement conservation measures. In this study, a combined model was employed to predict potentially suitable habitats for T. cuspidata based on extant data of T. cuspidata distributions in northeastern China. Our findings suggest that mean diurnal range (bio2) and isothermality (bio3) were identified as dominant factors influencing T. cuspidata distribution. Under future climate scenarios, suitable habitat areas increased only in the SSP126 scenario in the 2070s, declining in all other scenarios. In all climate scenarios, the centroid of suitable habitats ultimately shows a trend in northward movement. Decreases in suitable habitat predominantly occurred in Yanbian Korean Autonomous Prefecture, Baishan city, and Tonghua city. Overall, this study highlights a projected habitat reduction due to climate change. Recommendations entail the strategic establishment of nature reserves and the implementation of initiatives aimed at population replenishment. [ABSTRACT FROM AUTHOR]