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Three‐dimensional displacement monitoring over long distances has been a long‐standing concern in the structural health monitoring industry. In this study, a multi‐degree‐of‐freedom slope displacement monitoring method is developed by fusing computer vision and the 3D point triangulation method. Attributed to this method, the problems of outdoor binocular camera calibration, multi‐target mismatching, and outdoor illumination effects were solved. First, a two‐stage camera calibration method is proposed to accurately calibrate intrinsic and extrinsic camera parameters under a large field of view and long working distance conditions. Second, the adaptive spatial‐frequency method is proposed to calculate the coding and pixel coordinates of the monitored target. In this step, to solve the problem of mismatching monitored points in different camera frames, the Augmented Reality University of Cordoba code is introduced to provide a unique identity code for each monitored point. To mitigate the impact of illumination and other factors on pixel coordinate calculation, an adaptive pixel coordinate calculation method that combines information from the spatial and frequency domains is proposed., Third, based on the intrinsic and extrinsic parameters of the stereo camera and the pixel coordinates of the monitored points, the 3D coordinates of the monitored points are obtained through triangulation. Finally, the accuracy experiments and stability experiments are conducted. According to the results of the experiments, the measurement distance is positively correlated with the measurement error. And the baseline length is negatively correlated with the measurement error in the z‐direction. Ultimately, we suggest that the ratio of baseline length to measurement distance should be greater than 40%. When the recommended value is satisfied, the measurement error is less than 1 mm when the measurement distance is less than 40 m. When the measurement distance is equal to 90 m, the measurement error is less than 5 mm. Meanwhile, stability experiments of the algorithm were carried out, and in a period of outdoor validation experiments, the fluctuations were only sub‐millimeter, demonstrating good anti‐interference performance. Moreover, the method proposed in this study successfully monitored a landslide disaster in Guangxi, which demonstrated its outstanding practical application capabilities. [ABSTRACT FROM AUTHOR]

β-Thalassemia is a genetic disease characterized by the defective synthesis of the hemoglobin tetramer β-globin chains. So far, a number of mutations have been identified and associated with this genetic disease. A high incidence of thalassemia has been found in Guangxi (China). Herein, we report a case of a patient with slightly increased HbA2 levels (4.6%). Based on the clinical data and laboratory findings, the patient was diagnosed with β-thalassemia. Routine genetic screening tests were negative. Sequencing revealed an A deletion at codon 30 (HBB: c.91delA) and the genotype of this patient was βCD30M/β. This mutation changes the splice receptor site of intron 1 from AG to GG, which likely abolishes splicing at the normal 5′ splicing site and may cause β0-thalassemia. Based on hematological and clinical evaluations, this novel mutation was regarded as a β0-thalassemia allele. A homozygosity or compound heterozygosity of this mutation and other β0-thalassemia alleles can lead to severe thalassemia disease. [ABSTRACT FROM AUTHOR]