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Under the current conditions of global climate change, many unreasonable tillage practices exacerbate soil erosion and seasonal drought in agriculture. The red soil slope farmland makes up a significant portion of agricultural land in southern China. It is crucial to enhance the water storage and soil conservation effects (WSE) by adopting appropriate agronomic practices on the red soil slope farmland, which ensures regional agriculture’s sustainable development. Therefore, this study employed a combination of experimental plot positioning observations and artificially simulated rainfall experiments to analyze the WSE of four tillage practices: Conventional tillage (CT), Downslope ridge tillage (DT), Cross-slope ridge tillage (RT), and Plastic Mulching (PM). This study proposed the optimal tillage practices based on a comprehensive evaluation of their effects. The results indicate that there is a significant interaction ( p  < 0.05) between tillage practices and growth stages on soil water retention and infiltration characteristics. Under the same growth stage conditions, PM can reduce soil bulk density by 0.03–14.29% ( p  < 0.05) and increase temperature, soil moisture content, and total porosity by 4.00–6.67%, 0.68–18.23%, and 1.30–13.47% ( p  < 0.05), respectively, demonstrating the best water retention capabilities among the four tillage practices. However, during the rainfall-runoff process, the surface runoff amount (SRA) generated by PM and DT accounts for 68.15% and 90.83% of the total runoff, respectively, which is detrimental to soil water infiltration during rainfall. Both practices exhibit poor resistance to soil erosion and demonstrate low water storage and soil conservation effect index (WSEI) values of 0.38 and 0.33, respectively. Secondly, RT’s SRA constitutes only 9.42% of the total runoff, which is beneficial for increasing the cumulative soil water infiltration amount (CIA) during rainfall. Among the three tillage practices, namely RT, DT, and CT, RT demonstrates strong soil water retention capabilities. It can significantly reduce the kinetic energy of soil erosion, enhance soil erosion resistance, and exhibit the highest WSEI of 0.84. Furthermore, CT exhibits a moderate WSEI of 0.75. In summary, from the perspective of WSEI, RT is the tillage practice that should be prioritized for promotion in the cultivation process of red soil slope farmland. Our research results can provide a scientific basis for constructing optimal tillage mode and improving the WSE of southern China’s red soil slope farmland.

In optical metrology, the output is usually in the form of a fringe pattern, from which a phase map can be generated and phase information can be converted into the desired parameters. This paper proposes an end-to-end method of fringe phase extraction based on the neural network. This method uses the U-net neural network to directly learn the correspondence between the gray level of a fringe pattern and the wrapped phase map, which is simpler than the exist deep learning methods. The results of simulation and experimental fringe patterns verify the accuracy and the robustness of this method. While it yields the same accuracy, the proposed method features easier operation and a simpler principle than the traditional phase-shifting method and has a faster speed than wavelet transform method.

The laser speckle correlation method has found widespread application for obtaining information from vibrating objects. However, the resolution and accuracy of the laser speckle correlation method as they relate to the defocusing degree have not been analyzed sufficiently. Furthermore, the possible methods for speckle pattern quality assessment and enhancement have not been studied. In this study, the resolution and accuracy of the laser speckle correlation method are analyzed, and it is found that they are affected by the defocusing degree and speckle pattern quality, respectively. A new speckle pattern quality criterion combining the mean intensity gradient and frequency spectrum was proposed, called CMZ. The quality of the speckle pattern is higher when the CMZ is closer to zero. The proposed criterion was verified by simulated speckle patterns and real speckle patterns with different speckle sizes, densities, and gray contrasts. In the experimental setup stage, a suitable defocusing degree can be selected based on the resolution requirement and optimal speckle size, and other experimental parameters can be determined according to the CMZ criterion. Rotation and vibration experiments verified the effectiveness of the laser speckle correlation method and confirmed the reliability of the experiment preparation based on proposed CMZ criterion.

Long-term greenhouse operations face a critical challenge in the form of soil quality degradation, yet the key intervention periods and underlying mechanisms of this process remain unclear. This study aims to quantify the effects of greenhouse lifespan on the evolution of soil quality and to identify critical periods for intervention. We conducted a systematic survey of greenhouse operations in a representative area of Yunnan Province, Southwest China, and adopted a space-for-time substitution design. Using open-field cultivation (OF) as the control, we sampled and analyzed soils from vegetable greenhouses with greenhouse lifespans of 2 years (G2), 5 years (G5), and 10 years (G10). The results showed that early-stage greenhouse operation (G2) significantly increased soil temperature (ST) by 8.38–19.93% and soil porosity (SP) by 16.21–56.26%, promoted nutrient accumulation and enhanced aggregate stability compared to OF. However, as the greenhouse lifespan increased, the soil aggregates gradually disintegrated, particle-size distribution shifted toward finer clay fractions, and pH changed from neutral to slightly alkaline, exacerbating nutrient imbalances. Compared with G2, G10 exhibited reductions in mean weight diameter (MWD) and soil organic matter (SOM) of 2.41–5.93% and 24.78–30.93%, respectively. Among greenhouses with different lifespans, G2 had the highest soil quality index (SQI), which declined significantly with extended operation; at depths of 0–20 cm and 20–40 cm, the SQI of G10 was 32.59% and 38.97% lower than that of G2, respectively (p < 0.05). Structural equation modeling (SEM) and random forest analysis indicated that the improvement in SQI during the early stage of greenhouse use was primarily attributed to the optimization of soil hydrothermal characteristics and pore structure. Notably, the 2–5 years was the critical stage of rapid decline in SQI, during which intensive water and fertilizer inputs reduced the explanatory power of soil nutrients for SQI. Under long-term continuous cropping, the reduction in MWD and SOM was the main reason for the decline in SQI. This study contributes to targeted soil management during the critical period for sustainable production of protected vegetables in southern China.

Water inflow analysis is critical for subsea tunnel construction. However, existing studies largely concentrate on the inflow issues pertaining to single-hole tunnels. To address current practical engineering problems, a three-hole parallel configuration is common for subsea tunnels, which may alter water inflow patterns due to the influence of their seepage fields. Herein, numerical simulations are conducted to investigate the water inflow characteristics of a three-hole parallel subsea tunnel. Specifically, the impact of various factors on the water inflow phenomenon, including the permeability coefficient of the surrounding rock, the depth of the seawater, the depth of the tunnel, the spacing between tunnels, and the relative size of the tunnels, are comprehensively studied. Furthermore, based on the principles of the analytic hierarchy process and fuzzy mathematics, an exhaustive assessment framework is developed to evaluate the water inflow of three-hole parallel subsea tunnels. The results indicate that there is a mutual influence between the three parallel tunnels, differing from the predicted water inflow, which is overestimated in a single-hole tunnel model. Therefore, the water inflow assessment for a three-hole parallel subsea tunnel system should account for the inter-tunnel influences. The findings of this study offer valuable insights for the design of waterproofing and drainage systems in three-hole subsea tunnels.

The purpose of this article is to explore the possibility of establishing a system of moral damages for breach of contract through the study of tourism contracts, so as to protect the interests of contractual counterparties who suffer non-pecuniary losses as a result of non-serious damages. The current state of affairs is that, in general, for breach of contract, current scholarship and general doctrine is strongly opposed to the inclusion of moral damages in the system of damages for breach of contract, and instead insists on a dualistic system of remedies for breach of contract and tort. The shortcomings of this approach are that tort damages and breach of contract damages have different principles of proof and imputation, and the standard of damages cannot be claimed without reaching a certain standard, making it impossible for the interests of the right holder to be adequately remedied. This article will examine the case law and comparative approach to the possibility of moral damages for pure contractual breaches that have not yet resulted in serious damage, and thus to develop a vision for the establishment of such a system. The establishment of such a system will provide a higher degree of protection for the interests of the contractual counterparty and thus achieve a full remedy of rights.

This study aims to evaluate the predictive performance of the published population pharmacokinetic (PopPK) model of escitalopram in Chinese patients using an external validation method. PubMed, Embase, and Web of Science databases were searched to identify PopPK models. Clinical data collected from Chinese patients treated with escitalopram were used to evaluate these models. The predictive performance of the models was evaluated using both prediction-based diagnostic methods and simulation-based diagnostic methods. Ten published PopPK models were included in the external validation. A total of 241 serum concentration samples were collected from 193 Chinese patient. Among all evaluated models, the Poweleit 2023 model exhibited the optimal predictive performance, with the PE of -2.14% and the RMSE of 22.27% at the individual level, and corresponding values of 14.13% and 104.19% at the population level, followed the model by Liu 2022. While the predictive performance of the other models was unsatisfactory. Published PopPK models of escitalopram showed wide variations in predictive performance among our patient cohort. External models should be accurately evaluated before their application in clinical practice.

Severe craniocerebral injuries are rare in the pediatric population, especially open craniocerebral injuries caused by repeated slashes with sharp instruments. Here, we report an exceptional case of a child with severe open craniocerebral injury caused by repeated chopping blows with a cleaver. The child was admitted with traumatic hemorrhagic shock, and a multidisciplinary team (MDT) was immediately organized for evaluation and treatment decisions. Preoperative imaging showed a comminuted skull fracture accompanied by extensive scalp laceration and brain tissue injury with active hemorrhage. Emergency surgery included debridement, hemostasis, removal of the comminuted skull fragments, and dural repair. After surgery, the child was closely monitored in the Pediatric Intensive Care Unit (PICU) and received systematic rehabilitation. Three months later, the child underwent a second‐stage cranial repair to restore the integrity of the skull and improve the appearance of the head. At the 6‐month follow‐up, the child's neurological function had gradually recovered, with no significant cognitive or motor deficits. This case highlights the critical role of MDT management strategies in pediatric severe open craniocerebral injuries, including preoperative evaluation, surgical intervention, and postoperative rehabilitation, in order to optimize the child's prognosis and minimize the risk of complications. Key Clinical Message A severe pediatric open craniocerebral injury from repetitive sharp‐force trauma was managed via an MDT pathway comprising hemostatic resuscitation, damage‐control debridement with watertight dural repair, PICU infection prevention and seizure prophylaxis, early rehabilitation, and staged cranioplasty, with a good 12‐month functional outcome. Severe open craniocerebral trauma caused by repetitive cleaver strikes in a child.

An event schema provides a formal language for representing events and modeling knowledge about the world. Existing event schema induction methods often only applies text features to the cluster, restricting its cluster capabilities. This article presents a Graph-Based Event Schema Induction model to extract structural features from our constructed graph. Inspired by in-context learning, we propose a way to conceptualize clusters to generate event schemas. We evaluated the clustering experiment using the Adjusted Rand Index (ARI), normalized mutual information (NMI), accuracy (ACC), and BCubed-F1 metrics and generated event schemas based on overlap ratio and acceptable ratio. The experimental results show that our method has shown improvement in terms of clustering effectiveness, and the generated event schemas achieved highly acceptable ratio.

Within planetary gear transmissions (PGTs), mode shapes and eigenfrequencies hold a crucial significance in operational reliability and efficacy. Mode shapes explain the unique motion patterns inherent in PGT systems. Conversely, eigenfrequencies describe the inherent frequencies at which PGT systems undergo vibration or oscillation upon exposure to external forces or disruptions. This research paper presents a comprehensive investigation into the dynamic behavior of a three-stage PGT utilized in medium and heavy trucks. This study introduces the Rayleigh energy method to assess system dynamics, revealing a bounded Rayleigh quotient related to the highest related eigenvalue. Then, this study delves into eigenfrequencies and the mode shape behavior of the adopted PGT model. The eigenfrequencies are identified as encompassing diverse vibrational modes of central components and planet gears. Moreover, a multi-scale analysis of the adopted PGT model is presented by deriving matrices for mass, bearing stiffness, and mesh stiffness. Comparisons with the Rayleigh energy method demonstrate the new approach’s efficiency, exhibiting a low margin of error in the determination of eigenfrequencies. This investigation also highlights the alignment of identified mode shapes with the established literature, detailing the multi-scale approach’s minor deviation in mode shape determination compared to the Rayleigh energy method.