Abstract.The molecular structure of coal is a critical factor determining its physicochemical properties and serves as a key bridge connecting macroscopic coal characteristics with microscopic molecular evolution. In this study, Yangdong coal (YD) was analyzed using a combination of techniques including proximate and ultimate analysis, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and solid-state nuclear magnetic resonance (13C NMR) spectroscopy to systematically determine its elemental composition, surface functional groups, aromatic structure configuration, … Read more →

Abstract.In order to solve the ecological security problems caused by chemical pesticide dependence in modern agricultural pest control, this paper puts forward a technical system of "plant protection drone-multi-channel LED light source-insect biological rhythm". Taking insect light perception mechanism as the core, combined with spectral power distribution (SPD) analysis and natural light rhythm characteristics, a multi-channel LED light source system which can dynamically simulate natural spectrum is designed, and a precise regulation strategy based on time series is constructed. The effectiveness … Read more →

Abstract.To study the gas distribution law in the goaf of low-permeability and extra-thick coal seam comprehensive mining working face, Fluent simulation software is used to numerically simulate the gas distribution law of the goaf in the east 102 working face of the mine. The results show that under the comprehensive mining conditions of the U-shaped upwind ventilation working face, the high concentration gas in the deep part of the goaf accumulates on the return air side, forming a gas-rich area, with the highest gas concentration reaching 70%. The simulation results are basically consistent with the … Read more →

Abstract.Encoder-decoder networks have demonstrated significant advantages in semantic segmentation tasks. PP-LiteSeg as a light-weight encoder-decoder network, has gained a lot of attention because it can strike a good balance between accuracy and speed. However, the encoder and decoder in the networks have obvious limitations in extracting semantic information and recovering detailed information, respectively. To address these limitations, we carry out some improvements on PP-LiteSeg and propose MFF-LiteSeg. The improvements include a new encoder based on a parallel dilated convolution short-term … Read more →

Abstract.Triply super stable kneading sequences (TSSKS) are very important kernel concept in the study of symbolic dynamics of 1D trimodal maps.  For a given period n, there are six types of TSSKS in which two of them decide the six cyclic star products, others supplemented the ‘joints’ in the symbolic space. For the former, start products provide the method to research metric universalities in the period-n-tupling process, the devil’s staircase of topological entropy and self-similar bifurcation structure in classical dynamical systems, the later will be calculated and obtained the corresponding … Read more →

Abstract.Postharvest sugar degradation, quality deterioration, and short shelf life are common problems in sweet corn, severely restricting industry development. Existing research has limitations such as single-dimensional mechanism analysis and insufficient targeted preservation technology. This study focuses on the postharvest sugar degradation mechanism of sweet corn and targeted cold chain preservation technology. It analyzes the degradation mechanism from multiple dimensions, including varietal differences, molecular-physiological synergy, and environmental interaction. A targeted design of a … Read more →

Abstract.Animal pose estimation plays a vital role in various fields such as animal behavior analysis and wildlife conservation. However, in real-world scenarios, keypoint occlusion frequently occurs, which limits the model’s ability to accurately localize keypoints. To address this issue, this paper proposes an occlusion-aware animal pose estimation algorithm based on an improved HRNet. The proposed method incorporates a data augmentation strategy driven by strongly connected keypoints to enrich the diversity of occluded keypoints in the training set and enhance the model’s inference capability for … Read more →

Abstract.In deep-sea exploration operations, hydrodynamic performance is not only reflected in the impact of marine environment on the hull of research vessels, but also related to the rationality of hull design.This article uses the AQWA module to conduct hydrodynamic analysis of ships under the influence of regular waves.Construct a simulation analysis model for a research vessel, and conduct hydrodynamic analysis on the hull model based on the potential flow theory in frequency domain analysis, including damping coefficients and additional mass in six degrees of freedom. And analyze the response … Read more →

Abstract.Accurate soil moisture prediction is essential for intelligent irrigation and optimal agricultural water resource allocation. To address the limitation of traditional linear models in capturing complex nonlinear relationships between meteorological factors and soil moisture, this study developed an Extreme Gradient Boosting (XGBoost)-based soil moisture prediction model using hourly meteorological and soil moisture data from a 1-hectare multi-crop farm, achieving high-precision prediction through in-depth data preprocessing, multi-dimensional feature engineering, and systematic model training … Read more →

Abstract.This paper systematically reviews the principle system of geographic cartography, covering core elements such as projection transformation, scale, symbol systems, and color application. Through a historical analysis, it reveals the technological evolution trajectory from prehistoric rock paintings to modern digital maps, with a particular focus on the groundbreaking developments in cartographic techniques during the Ming and Qing dynasties. The study points out that geographic cartography has shifted from traditional empirical accumulation towards digitalization and intelligence, reflecting … Read more →

Abstract.In this paper, the TPS control with certain unified boundary condition is applied to a DBSRC. The control strategy is unified for the whole variation range of load, input/output voltage and with simple calculation. By using this unified boundary control, the circulating energy is minimized significantly. A wide soft switching operation range can be achieved. The steady-state analysis of the DBSRC will be performed using fundamental harmonics approximation (FHA) approach. The design principle for unified boundary control is then discussed. A design example based on the analysis results is … Read more →

Abstract.In order to study the influence of different preloading values on rock mechanical properties, uniaxial and triaxial compression tests were carried out to analyze rock failure forms, deformation characteristics and strength changes. The results show that the failure of rock mainly consists of compaction stage, elastic stage, plastic stage and fracture stage. In the triaxial compression test, the strength of the rock decreases with the increase of the preload value. Read more →

Abstract.This study provides a comprehensive investigation of the laminar flame propagation characteristics of NH3/N2/CO/H2/air mixtures under high-temperature and high-pressure conditions across a wide range of equivalence ratios. Laminar burning velocities (LBVs) were determined using the spherical flame propagation method, which enables accurate evaluation of intrinsic flame properties while minimizing the influence of external disturbances. Particular emphasis was placed on the effects of equivalence ratio and N2 dilution volume fraction, both of which exert significant influences on flame … Read more →

Abstract.With the global strategic shift in oil and gas exploration and development from conventional reservoirs to complex and heterogeneous ones, reservoir modeling and history matching are facing unprecedented challenges in terms of accuracy, efficiency, and uncertainty management. Traditional grid-based numerical simulation methods, though grounded in clear physical mechanisms, suffer from exponentially increasing computational costs during high-dimensional, multi-parameter inversion, thus failing to meet the real-time requirements of modern intelligent oilfield decision-making. Against this … Read more →

Abstract.Under hazy conditions, airborne particulate matter and chemical substances reduce image contrast and blur details by absorbing and scattering light, severely compromising the accuracy of computer vision tasks such as autonomous driving and remote sensing monitoring. Addressing the limitations of traditional physical defogging models prone to estimation errors, the insufficient global feature modeling capabilities of mainstream convolutional neural networks (CNNs), and the high computational complexity and inadequate local detail capture of existing Transformer-based methods, this paper … Read more →

Abstract.Sweet corn is in high demand due to its rich nutrition and excellent taste, but it faces industry bottlenecks such as insufficient sweetness stability, monotonous flavor, and quality degradation under stress. Existing research lacks an understanding of the synergistic regulation of sugar metabolism and flavor synthesis, as well as the environmental impact mechanisms. This study used high-sweetness, fragrant, and soft-waxy sweet corn varieties as materials, and set up conventional, low-potassium, and high-temperature treatments. Quality indicators were measured at key growth stages. Combining … Read more →

Abstract.Acidic mine drainage (AMD) present in coal seam roof and floor strata significantly modifies coal structure. To investigate the modification patterns of AMD on different coal ranks, coal samples of varying ranks (lignite, bituminous coal, anthracite) were selected. Changes in elemental content, molecular structure, functional groups, pore structure, and microcrystalline structure of the coal samples after immersion in acidic water (pH=4, 35°C) were studied. Fourier Transform Infrared (FTIR) spectroscopy analysis revealed that under the influence of acidic water, the coal samples exhibited a … Read more →