RESUMEN
Objective To investigate the treatment of female bladder neck obstruction by 1470nm laser transurethral modified enlarged female bladder neck obstruction(FBNO).Methods The clinical data of 34 patients with FBNO from January 2019 to November 2021 were retrospectively analyzed.The patient underwent a 1470nm laser transurethral modified enlarged bladder neck incision.The 1470nm laser was used to vaporise the bladder neck at 12 o'clock(lithotomy),and the incision site was expanded along the bladder neck to 9 o'clock and 3 o'clock to form a semi-circular surgical wound.The patients were followed up for complications,scored form of Bristol female lower urinary tract symptoms questionnaire(BFLUTS-SF)urination symptom subscale,quality of life(QoL)score and the maximum urinary flow rate(Qmax),detrusor pressure at maximum flow rate(PdetQmax),post-void residual(PVR)were reviewed at 1,4,and 10 months after operation.Results After 10 months of follow-up,the subjective indexes of BFLUTS-SF and QoL scores were significantly improved compared with those before operation(P<0.001),and the objective indexes of Qmax,PdetQmax,and PVR were significantly improved compared with those before operation(P<0.001).Two patients had mild urgency urinary incontinence and urinary tract infection symptoms half a month after operation,and the symptoms were improved after anti-infection and pelvic floor rehabilitation treatment.During the follow-up period,there were no complications such as vesicovaginal fistula,stress urinary incontinence,or recurrent bladder neck obstruction.Conclusion 1470nm laser transurethral modified enlarged bladder neck resection can effectively relieve bladder neck obstruction without significant postoperative complications,with high safety and good patient satisfaction.
RESUMEN
Private cloud is an internal cloud featuring multi-tenant,dynamic configuration and optimization infrastructure,which enables developers to achieve service self-deployment and self-hosting within security coverage of the enterprise data center.This paper introduced the concept of cloud computing.Then it went on to present the private cloud architecture of the hospital by analysis of problems in the hospital including information construction costs,management and maintenance,and information expansion.In the end,the authors analyzed the cloud computing service model,hospital private cloud architecture,along with outcome analysis for hospital private cloud implementations.
RESUMEN
As a commonly used non-contact flatness detection method, laser triangular detection method is designed with low cost, but it cannot avoid measurement errors caused by strip steel vibration effectively. This paper puts forward a dynamic flatness image processing method based on improved laser triangular detection method. According to the practical application of strip steel straightening, it completes the image pre-processing, image feature curve extraction and calculation of flatness elongation using digital image processing technology. Finally it eliminates elongation measurement errors caused by the vibration.
RESUMEN
As a commonly used non-contact flatness detection method, laser triangular detection method is designed with low cost, but it cannot avoid measurement errors caused by strip steel vibration effectively. This paper puts forward a dynamic flatness image processing method based on improved laser triangular detection method. According to the practical application of strip steel straightening, it completes the image pre-processing, image feature curve extraction and calculation of flatness elongation using digital image processing technology. Finally it eliminates elongation measurement errors caused by the vibration.
RESUMEN
Confirmation of basic technological parameters of tension levellers is the most important factor of leveling strip. Up to now, most factories have used experts' experience to decide these parameters, without any established rule to follow. For better quality of strip, a valid method is needed to decide technological parameters precisely and reasonably. In this paper, a method is used based on neural network and genetic algorithm. Neural network has a good ability to extract rules from work process of tension levellers. Then using neural network, which has learned from a lot of working samples, to be the evaluation of fitness, genetic algorithm could easily find the best or better technological parameters. At the end of this paper, examinations are given to show the effect of this method.