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Investigations on the mechanism of progesterone in inhibiting endometrial cancer cell cycle and viability via regulation of long noncoding RNA NEAT1/microRNA‐146b‐5p mediated Wnt/β‐catenin signaling
Progesterone exerted suppressive influence on endometrial cancer progression via regulation of lncRNA NEAT1/miR‐146b‐5p‐mediated Wnt/β‐catenin signaling pathway, which might reveal new strategies for developing more effective therapeutics.
Chronic nodules of sigmoid perforation caused by incarcerated intrauterine contraception device
A case of a patient who has suffered from abdominal pain after 4 years of placement of an IUD, and found that the IUD was incarcerated by ultrasound, which revealed that the incarcerated IUD caused uterine perforation and sigmoid perforations for a long time.
Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
Novel differentially expressed proteins in the ovarian tissues of women with PCOS that can serve as potential biomarkers for the diagnosis and development of novel therapeutics for the treatment of PCOS using molecular interventions are identified.
Effect of frugivorous birds on the establishment of a naturally regenerating population of Chinese yew in ex situ conservation.
It is suggested that the conservation system of the Chinese yew should be composed of yews, avian dispersers and habitats for seed germination and seedling growth.
Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia
The radiomics model has good performance for distinguishing COVID-19 pneumonia from influenza virus pneumonia and may aid in the diagnosis of COVID -19 pneumonia.
Effect of pelvic floor muscle treatment combined with levator ani muscle contraction in the treatment of maternal vaginal wall relaxation
Pelvic floor muscle therapy combined with levator ani muscle contraction exercise is an effective, safe, simple, noninvasive, painless method for the treatment of postpartum vaginal wall relaxation and worthy to be continuously clinically used.
Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks
An image quality control framework using the deep learning technique was developed to segment and evaluate lumbar spine x-ray images according to a defined quality control standard and provides a reliable and efficient method to identify the shape of the lumbr spine while automatically determining the radiographic image quality.