Applications of machine learning techniques to a sensor-network-based prosthesis training system.

In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. Limb prosthesis vendors thus desire to offer the leg-amputee a complete and well-organized training process, but they often fail to do so owing to the factors such as the limited support of human resource and financial condition of the amputee.

[Relationship between D2-40-labeled lymphatic vessel invasion and lymph node metastasis of breast cancer].

Objective: To investigate the feasibility of D2-40 labeling for detecting lymphatic vessels in breast cancer tissues and the clinicopathological implications of lymphatic vessel invasion (LVI).

Methods: Immunohistochemistry was used to detect the expression of D2-40 and lymphatic invasion in 72 cases of breast cancer and 15 benign breast tumor tissues, and their correlations to the clinicopathological factors were analyzed.

Results: The positivity rate of LVI was 69.

[Expressions of D2-40 and CD34 in invasive ductal carcinoma of the breast and the clinical implications].

Objective: To investigate the expression of D2-40 and CD34 in invasive ductal carcinoma of the breast and the clinical significance.

Methods: D2-40 and CD34 expressions were detected immunohistochemically in 108 cases of invasive ductal carcinoma of the breast and 30 cases of breast fibroadenoma. The lymphatic microvessel density (LMD) and the microvessel density (MD), marked by D2-40 and CD34, respectively, were calculated and their relationship with the clinicopathological factors was analyzed.