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The deformation of open-pit mine slopes is influenced by various factors such as geological structure, hydrogeological conditions, mining activities, etc., making the prediction model complex. It is difficult to accurately capture all influencing factors. At present, a large number of monitoring devices are deployed around the slope of open-pit mines to record real-time displacement data of open-pit mine slopes. The data has the features of high-dimensional, temporal correlation, and nonlinear. Traditional slope stability analysis methods cannot effectively predict slope deformation without knowing other conditions and only data, it is necessary to use a data-based model to predict the displacement data of open-pit mine slopes in advance for slope stability analysis. In order to solve the above problems, a deformation prediction model for open-pit mine slopes based on the golden jackal optimized multilayer perception machine (GJO-MLP) is proposed. Each agent in GJO is independent of each other and can accelerate the training process of optimizing MLP through parallel computing. GJO can combine the nonlinear modeling and feature extraction capabilities of MLP, making the optimized MLP more advantageous in dealing with complex problems. To test the feasibility and effectiveness of GJO-MLP, GJO-MLP is compared and analyzed with ant colony algorithm optimization based MLP (ACO-MLP), gravity search algorithm optimization based MLP (GSA-MLP), and differential evolution algorithm optimization based MLP (DE-MLP). The simulation results on six datasets show that under the same experimental conditions, GJO-MLP shows better optimization performance compared to the other three algorithms. The slope deformation prediction model based on GJO-MLP is applied to the slope deformation prediction of Baorixile open-pit mine and Huapingzi slope deformation prediction. The results show that under the same conditions, compared to the other three algorithms, the slope deformation prediction model based on GJO-MLP not only show better predictive performance in predicting slope deformation data, but also has better feasibility and robustness.

Combined with the characteristics of open-pit mines in China, the definition of intelligent open-pit mines is given. This paper introduces the overall network architecture, business architecture and collaborative process of the intelligent open-pit mine. The overall network architecture of cloud, edge and end is adopted to realize the collaborative correlation of various production links in the open-pit mine by accessing multi-source heterogeneous data and fully applying advanced technologies such as big data and cloud computing. The business architecture adopts the "5 layers + 3 system" model. The "5 layers" from bottom to top are the basic equipment layer, business data layer, analysis service layer, analysis business layer and analysis presentation layer. And the "3 systems" are data analysis standard system, safety specification standard system, metadata and code specification standard system. The bottom-up collaboration of intelligent open-pit mine should realize "basic + data" support, mine production system collaboration, disaster risk analysis collaboration and business decision-making collaboration. The key technologies such as unmanned technology, digital twin technology, big data collection and analysis technology, risk monitoring and early warning technology of intelligent open-pit mine are discussed. It is pointed out that technologies such as big data and artificial intelligence will become the core driver of open-pit mine intelligence. The platform-based architecture will become the common choice for future intelligent open-pit mine systems.

In order to solve the problem of unmanned truck transportation scheduling in open-pit mines, the minimum sum of fuel cost, fixed start-up cost, breakdown maintenance cost, and network base station construction and maintenance cost are taken as the objective functions. The mining amount of mining station, crushing amount of crushing station, truck number and truck transportation workload are taken as the constraint conditions. The optimization model of unmanned truck transportation scheduling in open-pit mines is established. To solve the problem of imbalance between global exploration and local mining ability in the tunicate swarm algorithm, an improved tunicate swarm algorithm (ITSA) based on Singer mapping and adaptive updating mechanism of parameter position is proposed. And it is applied to solve the optimization model of unmanned truck transportation scheduling in open-pit mines. Singer mapping is introduced to enhance the distribution of the initial tunicate swarm in the solution space and accelerate the compression of the solution space, thus improving the convergence speed of the algorithm. Through the adaptive updating mechanism of parameter position, the positions of the tunicate and the optimal tunicate are adjusted to increase the search range of the solution space. Therefore, the algorithm jumps out of the local optimization. The simulation results show that ITSA has better convergence precision, convergence speed and stability compared with the four population intelligent optimization algorithms of grey wolf optimization algorithm (GWO), whale optimization algorithm (WOA), atom search optimization algorithm (ASO) and tunicate swarm algorithm (TSA). In the unimodal benchmark function, the evaluation indexes of ITSA are far better than those of the other four algorithms, which shows that ITSA has better local mining capacity. In the multi-peak benchmark function, the evaluation indexes of ITSA show better optimization performance, which indicates that ITSA has better global exploration performance. The practical application scenario verification shows that ITSA has faster convergence speed and higher convergence precision when used for solving the unmanned truck transportation scheduling optimization model. And ITSA reduces the truck transportation cost and transportation distance.

In the historical background of "festivalization of culture", to clarify the meaning of festivals is a prerequisite for accomplishing the cultural value of festivals. By interpreting relevant western cultural theories, especially Pieper’s statements, this article argues that "in tune with the world" is the fundamental meaning of festivals. Considered as a result, "in tune with the world" means metaphysical needs are satisfied, and when taken as a prerequisite, "in tune with the world" should rely on totality strength. The enlightenment rationality breaks away from the field of metaphysics due to overemphasis on reflection, which results in the discontinuity of totality strength in the transition from old to new. This is the fundamental reason why some current festivals cannot realize their own values. Therefore, emphasizing a festival’s cultural connotation and exploring the possibility of re-endowing festivals with charm should be the top priority of research on festivals.

Development program is the critical guidance for reservoir development. Implementation of the program has the authority and the principle. However, with limited exploratory data and some uncertainty, implementation of the program has both rigid part and elastic part. Rigid parts of development program were described in aspect of development methods and techniques. The causes of the deviations in original reserves evaluation, well pattern design, productivity prediction, production allocation and recovery prediction were analyzed. Hence, based on reservoir engineering theory and methods, adjustment of the measures and deployment in the original proposal is necessary in the implementation of the development program. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effectiveness of tibial transverse transport (TTT) combined with nose ring drain (NRD) in the treatment of severe diabetic foot ulcer., Methods: The clinical data of 60 patients with severe diabetic foot (Wagner grade 3 or 4) ulcer who were admitted between April 2017 and August 2020 and met the selection criteria were retrospectively analyzed. Among them, 30 cases were treated with TTT combined with NRD (TTT+NRD group), and 30 cases were treated with TTT (TTT group). There was no significant difference in gender, age, diabetes duration, preoperative glycated hemoglobin, comorbidities, wound area, and duration, side, and grade of diabetic foot ( P >0.05). The wound healing time, wound healing rate, amputation rate, recurrence rate, duration of antibiotic therapy, hospital stay, number of hospitalizations, and number of operations were recoreded and compared between the two groups., Results: No obvious surgical complications occurred in the two groups. Patients in both groups were followed up 3-13 months, with an average of 5.7 months. The duration of antibiotic therapy and hospital stay in the TTT+NRD group were significantly shorter than those in the TTT group ( P <0.05). There was no significant difference in wound healing time, wound healing rate, number of hospitalizations, and number of operations between the two groups ( P >0.05). During follow-up, there was no recurrence of ulcer in the TTT+NRD group while 2 recurrent cases (6.7%) in the TTT group. The difference in recurrence rate was not significant ( P =0.492). One case (3.3%) in the TTT+NRD group underwent amputation due to acute lower extremity vascular embolism, and 1 case (3.3%) in the TTT group underwent amputation due to secondary necrosis. The difference in amputation rate was not significant between the two groups ( P =1.000)., Conclusion: TTT combined with NRD is an effective method for the treatment of severe diabetic foot ulcers with deep infections or relatively closed cavities or sinuses. It can shorten the time of antibiotic use and the length of hospitalization; and the NRD has a good drainage effect without obvious comorbidities, procedure and the postoperative care are simple and easy to obtain materials.

Objective: To explore the accuracy of endoscopic ultrasound (EUS) in preoperative staging of rectal cancer and to guide the treatment of transanal endoscopic microsurgery (TEM) in early rectal cancer., Methods: Clinical data of 80 patients with rectal cancer receiving EUS examination for preoperative staging in our department between June and December 2012 were retrospectively analyzed. Consistence comparison of EUS preoperative staging and pathological staging was performed to identify the accuracy of EUS preoperative staging. All the patients underwent operation within 1 week after EUS examination. According to preoperative staging, early rectal cancer(Tis or T1N0M0) patients with lesions less 20 cm to anus underwent TEM., Results: The overall accuracy of EUS for preoperative T stage was 68.8%(55/80), and for T1, T2, T3, T4 was 91.3%(73/80), 83.8%(68/80), 77.5%(62/80), 85.0%(67/80), which had a good consistence with postoperative pathological T staging(Kappa=0.562). The overall accuracy of EUS for preoperative N stage was 52.7%(39/74), and for N0, N1, N2 stage was 64.9%(48/74), 55.4%(41/74), 85.1%(63/74), which had a poor consistence with postoperative pathological N staging(Kappa=0.235). Six patients underwent TEM successfully, with mean operation time 99(65 to 123) min, without intraoperative and postoperative complication, and were discharged 2-3 days after operation. Enteroscope showed good recovery 1 month later. Pathology confirmed that all the lesions were early rectal cancer. During postoperative follow-up of 14.8 (11 to 19) months, there was no local recurrence and distant metastasis., Conclusion: Preoperative EUS has a good accuracy with pathologic T stage, and can guide TEM in early rectal cancer.