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Coal mining may lead to ground subsidence in a long term and is widely distributed, which can cause environmental damage and other disasters. Predicting the dynamic process of ground subsidence in real time is very important for offering theoretical or technical guidance to deal with the consequences of mining. In this study, we developed a prediction method for dynamic ground subsidence using a time function model that considers two stages of surface subsidence and reflects the law of surface subsidence in goaf. We applied the model to the Barapukuria mine, and our simulation shows that the prediction results are in good agreement with the monitoring data. Our results suggest that the dynamic development of the ground subsidence basin may be an effective measure to assess the loss of ground and provide early warning of oncoming hazards.

The subsidence caused by coal mining could cause the destruction of roads and houses, and even the failure of infrastructures. Understanding of the mechanism of coal mining subsidence may provide early protecting to infrastructures on coming failure, but dynamic analysis of subsidence due to coal mining is currently needed. In this study we apply particle image velocimetry (PIV) method to reveal strata movement and subsidence according to the prototype and indoor physical model similarity experiment of Henan. Our result shows magnitude of the subsidence of overlying strata during the coal mining at different excavation thickness, that more coal mining thickness may produce more subsidence, and that shallower coal may cause more significant subsidence. Our result suggests that further PIV test combined with field monitoring data may be an effective measure to study subsidence mechanism and pattern helping to predict disaster caused by subsidence.

The caisson method is typically employed in foundation pit projects characterized by complex surrounding structures and challenging engineering geological conditions. The sinking process involves complex soil-structure interactions, particularly the sidewall friction between the caisson and the surrounding soil strata. This friction is a critical factor, as it not only determines the feasibility and safety of the sinking operation but also influences the pattern and magnitude of surrounding ground subsidence. This study aims to explore the mechanism of sidewall friction between the caisson and strata and its direct impact on controlling the sinking process and mitigating surrounding subsidence. The analysis is based on the large caisson engineering of Zhuchong Pump Station, located in Xinyang City behind the Chushandian reservoir. By conducting a numerical simulation of the sinking process and analyzing measured data from on-site subsidence monitoring points, this research reveals that the caisson induces a parabolic-shaped subsidence curve in the surrounding ground surface. The magnitude and extent of ground subsidence around the caisson increase with greater sinking depth and with proximity decreasing distance from the sidewall. The study further demonstrates that sidewall friction significantly influences ground subsidence. Specifically, lower friction in the initial sinking phase results in noticeable ground uplift due to reduced constraint on soil displacement. Conversely, higher friction leads to increased ground subsidence as the sinking depth progresses. The study reveals that the influence pattern of friction between the caisson sidewall and the surrounding soil on ground surface subsidence, and lower friction would result in pronounced ground uplift due to reduced constraint on surface displacement during the initial sinking phase, and higher friction would increase ground subsidence as the caisson sinking depth increases. The findings of this research may help provide a technical reference for subsidence control in similar large-scale caisson projects.

With the development of large‐scale water diversion projects behind reservoir dams, caisson engineering is increasingly being adopted for pumping stations in such settings to ensure engineering safety under complex geological conditions. Based on three‐dimensional seepage theory of porous media and taking the construction dewatering of the Zhuchong Large Pump Station caisson project in Henan as a case study, this study analyzes the evolution patterns of the three‐dimensional seepage field around the Zhuchong Large Pump Station caisson pit project in Henan due to dewatering and investigates the subsidence characters induced by different dewatering depths during the caisson sinking process. The research results show that the groundwater drawdown increases corresponding with the depth of the caisson sinking. Owing to the notable waterproofing effect provided by the upper concrete walls of the caisson, the range of groundwater influence is smaller compared to open excavation dewatering. During the sinking process, dewatering‐induced ground subsidence accumulates progressively. Moreover, the maximum subsidence observed under dewatering conditions is less than what was predicted when ignoring the water‐blocking effect of the caisson wall.

Raynaud’s phenomenon is a condition that causing vasospasm of the digital extremities and have a great influence on the quality of patients life. Distraction osteogenesis is accompanied with vascularization and regeneration of surrounding soft tissues. There have been no previous reports of using radial cortex transverse distraction for the treatment of RP. Since January 2019 to January 2023, 6 patients with RP accepted radial cortex transverse distraction. They were failed to conventional treatment for at least six months before the surgery. All the patients were followed-up over 1 year. The bone cortex healed without osteomyelitis or fractures. The ulcer of finger healed in one month. The pain and skin pale released after the surgery. The VAS score declined from 6 to 2 and the finger SpO 2 improved. Radial cortex transverse distraction facilitated finger ulcer healing, salvage the hand and improved Raynaud symptoms. These findings suggest that radial cortex transverse distraction may be an effective procedure to treat the Raynaud’s phenomenon. Level of Evidence II Therapeutic study.

The waterproof curtain plays an important role in the dewatering of a deep foundation pit. Recognition of the depth of the waterproof curtain inserted into the confined aquifer at different depths may help control ground subsidence due to dewatering, but subsidence analysis of the interaction between dewatering and the waterproof curtain requires further study. In this study, we mainly analyze the relationship between ground subsidence and dewatering based on the shield shaft pit of the Qianhai-Nanshan deep tunnel project in Shenzhen. Our numerical simulation results show that the ground subsidence around the foundation pit decreases with an increase in the depth of the waterproof curtain inserted into the confined aquifer, and when the waterproof curtain completely penetrates the confined aquifer, the ground subsidence caused by pit dewatering is minimal. Our numerical simulation results are consistent with the actual on-site dewatering monitoring data. Our results suggest that the diaphragm wall is an effective measure to control the ground subsidence in deep foundations, helping to reduce excessive dewatering.

Introduction This study conducted an ethnobotanical survey of wild medicinal plants in the multi-ethnic areas of Gansu–Ningxia–Inner Mongolia intersection zone. Traditional knowledge of medicinal plant use in the region was compiled to identify important medicinal plants currently used for treating relevant diseases and to determine species with potential for development. Methods Key informant interviews, semi-structured interviews, participatory rural appraisal methods, and ethnobotanical quantitative evaluation were used to investigate and study the traditional knowledge of local residents' use of wild medicinal plants in the region. The relative importance of the referenced plants was assessed, as well as the prominent species widely used in medicinal applications. Results The study found that the region has a total of 204 wild medicinal plant resources, belonging to 149 genera of 51 families. Among these resources, a total of 50 commonly used plants were identified (44 of which were herbs, some of which were multi-origin), belonging to 27 families, with the most species found in the Asteraceae family, with 11 species. These herbs are mainly used for preventing and treating colds and nourishing health, followed by treatment of fever, stomach problems, and bleeding. The most frequently used medicinal plant in the region is “Ai”, which includes Artemisia argyi Lévl. et Van. and Artemisia kanashiroi Kitam. All respondents provided information about the use of this medicinal plant to varying degrees, followed by Artemisia annua Linn., Ephedra sinica Stapf, Taraxacum mongolicum Hand.-Mazz., Sonchus arvensis Linn., Artemisia capillaris Thunb., among others. Conclusion Our investigation gained a wealth of traditional knowledge about the use of wild herbs, using wild herbs, which plays an important role in the lives of local residents. Especially, the herbs and application methods used for treating colds, bleeding, and stomach problems are worthy of further research and development.

Objective There are limited data about the association between intramedullary increased signal intensity (ISI) on T2‐weighted magnetic resonance imaging and surgical outcome in degenerative cervical myelopathy (DCM) after anterior decompressive surgery. This study aimed to explore factors contributing to unsatisfactory recovery following surgical treatment for DCM, with a particular focus on evaluating whether preoperative quantitative indicators of ISI on T2‐weighted MRI could be used to forecast surgical outcomes. Methods In this retrospective analysis, 94 patients diagnosed with ISI and treated with anterior cervical decompression for DCM between January 2021 and June 2023 were reviewed. Based on a postoperative recovery rate cutoff of 50% at final follow‐up, patients were categorized into optimal and suboptimal recovery groups. Multivariate logistic regression was employed to identify independent predictors of prognosis. Results Among the 94 patients, 39 (41.5%) had a suboptimal clinical outcome with a recovery rate below 50%. Multivariate analysis identified longer duration of symptoms, higher signal change ratio (SCR) on T2‐weighted MRI, and the presence of snake‐eye appearance (SEA) as significant predictors of poor recovery. The optimal SCR cutoff value for predicting a suboptimal outcome was 1.53, yielding a sensitivity of 64.1% and a specificity of 83.6%. While somatosensory and motor evoked potentials (SEP/MEP) were associated with baseline neurological function, they did not serve as standalone predictors of recovery. Conclusions Longer symptom duration, elevated SCR on T2‐weighted MRI, and SEA features may be significant preoperative indicators of less favorable outcomes in DCM patients. Individuals exhibiting an SCR above 1.53 and SEA on imaging should be considered at increased risk for limited postoperative improvement. These insights highlight the potential benefit of earlier surgical intervention and underscore the need for prospective validation through multicenter studies. Ninety‐four patients diagnosed with increased signal intensity (ISI) on T2‐weighted MRI and treated with anterior cervical decompression for DCM between January 2021 and June 2023 were reviewed, Higher signal change ratio (SCR), the presence of snake‐eye appearance (SEA), and long symptoms predict poor DCM outcomes, highlighting the need for early surgery.

Introduction This study aims to safeguard the ethnobotanical knowledge pertaining to traditional forage plants within the ethnically diverse Gansu–Ningxia–Inner Mongolia junction zone. It seeks to establish a foundation for the sustainable utilization of these traditional resources for animal husbandry. Methods A combination of literature research, village interviews, participatory observation, and ethnobotanical quantitative evaluation methods was employed to investigate and study the traditional knowledge of wild forage plants used by local residents in the study area. Results Local residents provided information on 73 forage plants, which were identified as 116 distinct wild forage plant species. These plants belong to 22 families and play an active role in the lives of the local inhabitants. Notably, the families Poaceae, Fabaceae, and Asteraceae are prominent, comprising the most abundant and widely utilized wild forage plants. Bing Cao (collectively referring to plants of the Agropyron, Leymus, and Psammochloa), Suo Cao (collectively referring to plants of the genus Stipa), and Ku Cai (encompassing Lactuca tatarica (L.) C.A.Mey. and Ixeris polycephala Cass.) emerge as the most representative and vital wild forage plants for animal husbandry. Additionally, plants within the Astragalus (referred to collectively as NiaoZi by local residents) in the Fabaceae family, as well as plants from the Amaranthaceae family, exhibit notable significance. Conclusion Animal husbandry assumes a pivotal role in the local agricultural economy, and the 116 wild forage plants investigated hold substantial importance in its development. Among these, 59 and 103 plant resources display high developmental potential, making them prospective candidates for high-quality cultivated forage grasses. Additionally, extensive grazing practices have resulted in significant ecological degradation within this already fragile ecosystem. The cultivation of forage grasses and the practice of pen-based animal husbandry may emerge as crucial strategies for sustainable development in this area.

In this paper, a simultaneous localisation and mapping algorithm based on the weighted asynchronous fusion of laser and vision sensors is proposed for an assistant robot. When compared to the synchronous fusion algorithm, this method can effectively use the redundant data in the vision sensor and improve the tracking accuracy of the algorithm. At the same time, the attitude estimation of the visual sensor is taken as a prior of the attitude estimation of the laser sensor to reduce the number of iterations and improve the efficiency of the algorithm. Further, according to the running state of the robot, a weighting coefficient based on angle is introduced to improve the confidence of the measurement. Experimental results show that the algorithm is robust and can work in a degraded environment. When compared to the synchronous fusion method, the asynchronous fusion algorithm has a more accurate prior, faster operation speed, higher pose estimation frequency, and more accurate positioning accuracy.