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Background The long‐term trend analysis of esophageal cancer is rarely reported in China. Our purpose is to analyze the incidence and mortality trends of esophageal cancer in China from 2005 to 2015. Method Based on the data in the annual report of the China Cancer Registry, a comprehensive analysis of esophageal cancer cases and deaths from 2005 to 2015 was carried out. The incidence and mortality of esophageal cancer are stratified by gender and region (urban or rural). Long‐term trend analysis was conducted using Joinpoint regression model. Result In China, the age‐standardized incidence rates by the world population declined from 13.84/105 in 2005 to 11.64/105 in 2015. Annual percent changes were 3.4% (95% CI: 0.6%, 6.3%) in the period 2005‐2011, −7.4% (95% CI: −10.1%, −4.7%) in the period 2011‐2015, respectively. The age‐standardized mortality rates declined from 10.86/105 in 2005 to 8.57/105 in 2015. And the average annual percent change was −4.1% (95% CI: −6.7%, −1.5%). The incidence and mortality of esophageal cancer in men are higher than those in women, and the incidence and mortality of esophageal cancer in rural areas are much higher than those in urban areas. Conclusion In China, the incidence of esophageal cancer first increased and then decreased during 2005‐2015, while the mortality rate has been declining. In China, the incidence of esophageal cancer increased first and then decreased during 2005‐2015, and the mortality rate has been declining throughout the period.

To address the issues of poor harvesting efficiency, unsatisfactory cutting performance, and high energy consumption in current golden needle mushroom harvesting machinery, this study designed a novel rotary cutter-type root cutting device featuring a slitting cutting angle cutter. The device utilizes a clamping mechanism on a feed turntable to secure the mushrooms, with root cutting achieved through synchronized rotation of the rotary cutter and the turntable. The study commenced with a theoretical analysis of the device’s trajectory displacement model and cutting process, determining the structural form and parameter ranges for key components. Utilizing EDEM discrete element software, simulation optimization tests were conducted using cutting force and unit area power consumption as evaluation metrics. Experiments investigated the effects of rotary cutter geometry and operational parameters, ultimately identifying the optimal cutter parameter combination: a sliding cutting angle of 26°, a cutting edge angle of 15°, and a thickness of 2 mm. The best operational parameters were determined to be a cutting speed of 1400 r/min, a turntable feed speed of 6 r/min, and a cutting height of 20 mm An test platform was constructed to validate the simulation results. The findings demonstrated that the new slitting angle cutter reduced cutting force by 39.4% and unit area power consumption by 24.5%. Additionally, the design significantly improved cutting flatness, ensuring that the device’s performance and efficiency met the design requirements. This study provides an effective solution to key technical challenges in the mechanized harvesting of golden needle mushrooms.

Marine oil spills significantly adversely affect the socio-economic environment and marine ecosystems. Establishing an efficient emergency cooperation mechanism that enables swift and coordinated responses from all stakeholders is crucial to mitigate the harmful consequences of such spills and protect regional security. This study uses stochastic evolutionary game theory to develop an emergency cooperation model, focusing on the strategic interactions and dynamic evolution between three main parties: the local government, port enterprises, and specialized oil spill cleanup units. The findings indicate the following: (1) The strategy choice of the local government plays a dominant role in the three-party game and has a significant guiding effect on the behavioral decisions of port enterprises and specialized oil spill cleanup units. (2) The strength of the government’s reward and punishment mechanism directly affects the cooperation tendency of the port enterprises and specialized oil spill cleanup units. (3) When the emergency response is more efficient and the cooperation effect is significant, the cleanup units may choose negative cooperation based on payoff maximization in order to prolong the cleaning time. (4) In the process of system evolution, the strategies of local governments and port enterprises are more stable and less affected by random perturbations, while the strategy fluctuations of cleanup units are more sensitive. The findings enrich the theoretical framework for handling marine oil spill emergencies and provide valuable insights for developing efficient collaborative mechanisms and formulating well-grounded regulatory incentive policies.

Currently, the teaching programming or offline programming used by an industrial manipulator can manually set the running speed of the manipulator. In this paper, to consider the running speed and stability of the manipulator, the time-optimal trajectory planning (TOTP) of the manipulator is transformed into a nonlinear optimal value search problem under multiple constraints, and a time-search algorithm based on fuzzy control is proposed, so that the end of the manipulator can run along the given path in Cartesian space for the shortest time, and the angular velocity and angular acceleration of each joint is within a limited range. In addition, a simulation model of a 6-DOF manipulator is established in MATLAB, taking a straight-line trajectory of the end of the manipulator in Cartesian space as an example, and the effectiveness and efficiency of the algorithm proposed in this paper are proved by comparing the execution time with the bisection algorithm and the traditional gradient descent method.

Understanding the seasonal dynamics of the fisheries and crustacean communities are of crucial ecological significance. To investigate the structural characteristics of these communities and their seasonal dynamics in the offshore of the Zhoushan Archipelago Seas, China, this study conducted a four seasons’ trawl survey to collect fisheries data in spring, summer, autumn, and winter of 2022. A normalized abundance size spectrum approach was applied to investigate the seasonal variation in regressed parameters (slope and intercept) for fish-only and fish-plus-crustacean communities. Our study found that average values of the slope of the size spectrum for fish and fish-plus-crustacean were −1.36 and −1.53, respectively; the overall adding effect with crustaceans in all seasons was more negative (a steeper slope). The results also showed that the adding effect of crustaceans in the fisheries communities were season-specific and region-specific. Temporally, adding crustaceans into fisheries communities contributed to more/less negative slopes in temperate/warm seasons, respectively. Regionally, the inclusion of crustaceans induced a reverse distribution pattern (nearshore–offshore) for fish abundance, as well as the re-scaled intercept, which could indicate the abundance in all seasons except in summer. It was assumed that although fish dominated the overall community structure, crustaceans contributed a compensatory effect by regulating the size distribution across trophic levels. This study provides valuable insights for the dynamic assessment and scientific management of fisheries and crustacean resources in the whole ecosystem.

Soil salinization has a significant impact on agricultural production and ecology. There is an urgent demand to establish an effective method that monitors the spatial and temporal distribution of soil salinity. In this study, a multi-indicator soil salinity monitoring model was proposed for monitoring soil salinity in Bachu County, Kashgar Region, Xinjiang, from 2002 to 2022. The model was established by combining multiple predictors (spectral, salinity, and composite indices and topographic factors) and the accuracy of the four models (Random Forest [RF], Partial Least Squares [PLS], Classification Regression Tree [CART], and Support Vector Machine [SVM]) was compared. The results reveal the high accuracy of the optimized prediction model, and the order of the accuracy is observed as RF > PLS > CART > SVM. The most accurate model, RF, exhibited an R2 of 0.723, a root mean square error (RMSE) of 2.604 g·kg−1, and a mean absolute error (MAE) of 1.95 g·kg−1 at a 0–20 cm depth. At a 20–40 cm depth, RF had an R2 value of 0.64, an RMSE of 3.62 g·kg−1, and an MAE of 2.728 g·kg−1. Spatial changes in soil salinity were observed throughout the study period, particularly increased salinization from 2002 to 2012 in the agricultural and mountainous areas within the central and western regions of the country. However, salinization declined from 2012 to 2022, with a decreasing trend in salinity observed in the top 0–20 cm of soil, followed by an increasing trend in salinity at a 20–40 cm depth. The proposed method can effectively extract large-scale soil salinity and provide a practical basis for simplifying the remote sensing monitoring and management of soil salinity. This study also provides constructive suggestions for the protection of agricultural areas and farmlands.

Single-photon lidar (SPL) exhibits high sensitivity, making it particularly suitable for detecting weak echoes over long distances. However, its susceptibility to background noise necessitates the implementation of advanced filtering techniques and complex algorithms, which can significantly increase system cost and complexity. To address these challenges, we propose a time-division-multiplexing-based correlated photon lidar system that employs a narrowband pulsed laser with stable time delays and variable pulse intensities, thereby establishing temporal and intensity correlations. This all-fiber solution not only simplifies the system architecture but also enhances operational efficiency. An adaptive cross-correlation method incorporating time slicing has been developed to extract histogram signals, enabling successful 1.5 km distance measurements under intense daytime noise conditions, using a 1 s accumulation time and a 20 mm receiving aperture. The experimental results demonstrate a 38% (from 1.11 to 1.52) improvement in the signal-to-noise ratio (SNR), thereby enhancing the system’s anti-noise capability, facilitating rapid detection, and reducing overall system costs.

Melanoma, a malignant mass lesion that originates in melanocytes and has a high rate of malignancy, metastasis, and mortality, is defined by these characteristics. Malignant melanoma is a kind of highly malignant tumor that produces melanin and has a high mortality rate. Its incidence accounts for 1%–3% of all malignant tumors and shows an obvious upward trend. The discovery of biomolecules for the diagnosis and treatment of malignant melanoma has important application value. So far, the exact molecular mechanism of melanoma development relevant signal pathway still remains unclear. According to previous studies, extracellular RNAs (exRNAs) have been implicated in tumorigenesis and spread of melanoma. They can influence the proliferation, invasion and metastasis of melanoma by controlling the expression of target genes and can also influence tumor progression by participating in signal transduction mechanisms. Therefore, understanding the relationship between exRNA and malignant melanoma and targeting therapy is of positive significance for its prevention and treatment. In this review, we did an analysis of extracellular vesicles of melanoma which focused on the role of exRNAs (lncRNAs, miRNAs, and mRNAs) and identifies several potential therapeutic targets. In addition, we discuss the typical signaling pathways involved in exRNAs, advances in exRNA detection and how they affect the tumor immune microenvironment in melanoma.

We investigate entanglement generation between two pulses through the gravitational interaction in the framework of linearized quantum gravity. Different from the earlier suggestions that two massive particles can be entangled through the gravitational field produced by the particles themselves, we use the massless particles (a laser pulse) to generate the gravitational field. In our proposal, the propagating retarded effect of the gravitational perturbation generated by the laser pulses can be incorporated into the interaction, which is significant for supporting the assumption of local interaction. It is found that the locally linearized quantum gravitational interaction can indeed lead to the generation of entanglement between two pulses, and the result is dependent on the propagating time of the gravitational perturbation. We also provide a measurement suggestion using a Holometer-like interferometers structure to present this result of gravitation-induced entanglement, which could show that the gravitational mediator is quantum in future experiments.

In this study, an attempt is made to model and investigate the dynamic behavior of the spinning Timoshenko beam-disk with nonlinear elastic boundaries, in which an unbalanced concentrated mass and axial loads are considered. In order to satisfy the elastic boundary conditions of the spinning beam-disk containing translational and rotational stiffnesses as well as nonlinear stiffnesses, an improved version of Fourier series is employed for the admission function construction. Nonlinear dynamic behavior of the spinning beam-disk and its boundary supporting system are described based on energy principle, and the system governing equations of spinning beam-disk are formulated by the Lagrange equation of the second type. The time-domain response is then obtained by solving the system dynamic equations through Runge–Kutta method, while the reliability of the current model is verified through the comparison with those predicted by harmonic balance method. Then, the effect of sweep direction and nonlinear elastic boundary parameters on system dynamic behavior of the spinning Timoshenko beam-disk is investigated and addressed. The results show that the dynamic responses of the spinning beam-disk with nonlinear elastic boundary are sensitive to the initial values of calculation, and the nonlinear elastic boundary parameters make the spinning beam-disk exhibit complex dynamic behavior. Analysis of Poincare points in the phase diagram can better determine the dynamic behavior of spinning beam-disk, and a set of suitable nonlinear elastic boundary parameters can suppress the complex dynamic response of the spinning beam-disk.