Insights into the cause of the Oroville dam spillway failure, 2017, California.

Earth internal seepage erosion in weathered bedrock under infrequently used hydraulic structures is often overlooked, which causes some solid particles to break away from the solid skeleton, degrading the earth's strength, and even causing unanticipated hydraulic engineering failures. The flood on the Oroville dam spillway in California in 2017 was caused by disturbed water flow due to a crack in the spillway chute caused by internal erosion in poorly weathered bedrock. The abnormal water flow of the spillway in the early stage and subsequent investigation revealed that the main reason for the accident was the insufficient weathered bedrock under the spillway chute. In this study, we formulated a coupled hydro-mechanical mechanism for internal erosion in weathered bedrock during the early stages. Using this model, we conducted an internal erosion numerical simulation at early stage, and the results showed that the physical characteristics of the weathered bedrock were degraded. Our results show the coupling analysis of quantitative computation during the early stage of internal erosion in weathered bedrock, which can provide an early warning method for the occurrence of internal erosion to avoid hydraulic disasters.

Ethnobotanical study of traditional forage plants in the Gansu-Ningxia-Inner Mongolia junction zone: conservation and sustainable utilization for animal husbandry.

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.

Study on wild medicinal plant resources and their applied ethnology in multiethnic areas of the Gansu-Ningxia-Inner Mongolia intersection zone.

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.

The comprehensive risk assessment of the Tangjiashan landslide dam incident, China.

Risk assessment for landslide dams is very important to avoid unanticipated landslide failure and calamity. Recognition of the risk of landslide dams associated with changing influencing factors is to identify the risk grade and provide early warning of oncoming failure, while quantitative risk analysis of landslide dams due to many influencing factors changing in spatiotemporal domain is currently lacking. We applied the model to analyze the risk level of the Tangjiashan landslide dam caused by the Wenchuan Ms 8.0 earthquake. The risk evaluation, obtained according to the analysis of the influencing factors located in the risk assessment grade criteria, clearly shows that the risk reaches a higher level at that moment. Our analysis shows that the risk level of landslide dams can be quantitatively analyzed with our assessment method. Our results suggest that the risk assessment system can be an effective measure to dynamically predict the risk level and provide a sufficient early warning of the oncoming hazard by analyzing the variables of influencing factors at different times.

A time function-based prediction model of mining subsidence: application to the Barapukuria coal mine, Bangla.

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.

Simultaneous Localization and Mapping Algorithm Based on the Asynchronous Fusion of Laser and Vision Sensors.

In this paper, a simultaneous localization 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.

[Effect of Acupuncture on Prognosis and Immune Function of Sepsis Patients].

OBJECTIVE: To study the effect of acupuncture on the immune function of sepsis patients. METHODS: Ninety sepsis patients were assigned to the control group, the thymosin a1 group, and the acupuncture treatment group according to random digit table, 30 patients in each group. Patients in the control group were treated according to the guideline of Surviving Sepsis Campaign (SSC). Patients in the control group received routine treatment. Those in the thymosin alpha1 group additionally received subdermal injection of thymosin alpha1 (1.6 mg), once per day for 6 successive days. Needling at related points such as Zusanli (ST36), Yanglingquan (GB34), Neiguan (PC6), Guanyuan (RN4), and so on, was performed in patients of the acupuncture treatment group, once per day for 6 successive days. T cell subgroups (CD3+, CD4+, CD8+, CD4+ /CD8+) and immunoglobulin levels (IgG, IgA, IgM) were detected. The length of ICU hospital stay, hospital readmission rate, and 28-day mortality were compared among the three groups. RESULTS: After six days of treatment, CD3+, CD4+, CD8+, IgG, IgA, IgM, and CD4+ /CD8+ ratio of three groups were all significantly increased (P < 0.01). Of them, CD3+, CD4+, CD8+, IgG, IgA, and IgM increased more significantly in the thymosin alpha1 group and the acupuncture treatment group (P < 0.01). Compared with the control group, the ICU hospitalization length was significantly shortened, the hospital readmission rate and the 28-day mortality were lower in the thymosin alpha1 group and the acupuncture treatment group (P < 0.05, P < 0.01). There was no statistical difference in each index between the thymosin alpha1 group and the acupuncture treatment group (P > 0.05). CONCLUSION: Acupuncture could adjust the immune function of sepsis patients, improve their immunological indicators and prognoses.

[Study on the enrichment of oleuropein from Olea europaea leaves with macroporous resin D-101].

OBJECTIVE: To study the conditions and parameters of the enrichment of oleuropein with macroporous resin. METHODS: Aqueous extract of Olea europaea leaves prepared through microwave extraction was adsorbed directly with macroporous resin D-101 and the impurities such sugar were washed out by water then oleuropein was eluted by 70% ethanol. HPLC was used to determine the content of oleuropein. RESULTS: The contents of oleuropein increased from 5% to 21.6% in the solid, with 88.6% of recovery rate. CONCLUSION: Macroporous resin D-101 fits in purification of water-soluble oleuropein. The process is simple and convenient and can be used for industrial production.