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The primitive neuroectodermal tumor (PNET) in female reproductive system is clinically rare. There is no standard treatment regimen, and the prognosis is very poor. We report one case of unusual ovarian PNET, menstrual abnormality was the main symptom. There was a history of uterine leiomyoma. The serum tumor markers were not significantly increased. Meanwhile, there was no abnormal imaging findings. On October 20, 2022, the laparoscopic total hysterectomy, bilateral salpingectomy and bilateral ovariectomy was given under endotracheal general anesthesia. Postoperative pathology confirmed the diagnosis of ovarian small round cell malignant tumor. After surgery, the alternating chemotherapy with vincristine, doxorubicin liposomes, cyclophosphamide-ifosfamide and etoposide was given 5 cycles and showed no recurrence. By summarizing the clinical characteristics of such a rare tumor, it aims to improve clinicians′ understanding of the disease, so as to provide early diagnosis and effective treatment, and to improve the survival of patients. [ABSTRACT FROM AUTHOR]

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Primitive neuroectodermal tumor (PNET) is divided into central and peripheral types. Peripheral PNET belongs to the family of Ewing′ s sarcoma. Its occurrence is due to abnormal gene regulation, thus the primitive stem cells differentiate into different stages of neural epithelialcells which is similar to pediatric central nervous system tumors morphologically. The histological and clinical biological behavior of the peripheral PNET are similar to extra-osteous Ewing′s sarcoma. Ovarian primary PNET is peripheral PNET, belonging to the ovarian monoderm teratoma, which is extremely rare and metastasizes early, relapses easily with poor prognosis. The clinical manifestation is lack of specificity, and patients always show with chief complaints with abdominal pain, abdominal distention and pelvic mass. The pathology is the gold standard for diagnosis. There is still no exact guideline for treatment, and most articles regarding this neoplasm have been case reports because of its rarity. Only seventeen cases of ovarian primary PNET had been reported in the English language literature between 1975 and 2017. And we reported four additional cases treated at the Peking Union Medical College Hospital to depict the clinical behavior, treatment strategies and prognosis of the ovarian primary PNET. [ABSTRACT FROM AUTHOR]

Aimirg at the problem of difficult to recognize and understand the hand-drawn symbols, because of irregular and fuzzy, the features of hand-drawn electrical symbols, stroke segmentation of the symbols, the identification of the primitive type, structural relations between primitives, the types of the similarity between symbols and other aspects were studied, and a new recognition method for hand-drawn electrical symbols based on structural relationship between primitives was proposed. First of all, hand-drawn electrical symbols were segmented into several primitives based on their characteristics. Then attributed relational graph was used to describe the attribution of the primitives and the structural relationship between primitives in hand-drawn electrical symbols. And a method for calculating the similarity of hand-drawn electrical symbols matching based on attributed relational graph was proposed. Finally, through calculating the similarity between the unknown symbol and the symbol in template library, the unknown hand-drawn electrical symbol was recognized successfully. The results indicate that the proposed method can be used to construct an effective, trainable, multiline character recognizer, which is not affected by the direction, the size and the drawing order of the symbol. [ABSTRACT FROM AUTHOR]

This paper presents an extraction method of dual-tree complex wavelet domain primitive co-occurrence matrix. Local features of texture are described and characteristic values of image texture are extracted by using dual-tree complex wavelet domain as the analysis domain, and texture primitive as the basis. Experiments show that multi-scaled and multi-directional texture features can be effectively extracted by using this method while paying attention to local randomness and overall regularity. Thus the extracted features have good clustering separation and within-class sample difference. [ABSTRACT FROM AUTHOR]

Layout problem is regarding the study on the arrangement of the order and position of the objects according to the design requirements, while layout migration design is a new and efficient layout method based on the existing layout. In the automatic control system of rail transportation, the sensor layout of the auto gate plays an important role in the identification of human body and objects. In order to achieve the rapid design of auto gate for different geographical environments, firstly, sensors in auto gate layout are taken as the research object and broken down into various kinds of primitives, multiple primitive types are proposed, the topological-structure-based primitive migration transformation method is analyzed, and the crowd characteristics factors and the mathematical expression of the mechanical structure constraints are studied. Secondly, the primitive motions and interference analysis algorithm based on the bounding circle search is proposed, whose parameters can be adjusted according to the solution precision, and multi-objective normalization function is utilized to search for the optimum solution out of all the feasible solutions for each primitive. Finally, with the help of the visualization compile platform Visual Basic, the method is applied to the sensor layout design for the auto gate with eighteenpair sensors and fast sensor layout design of auto gate for different geographical environment is achieved. [ABSTRACT FROM AUTHOR]