Additive manufacturing(AM),also known as three-dimensional printing,is gaining increasing attention from academia and industry due to the unique advantages it has in comparison with traditional subtractive manufacturi...Additive manufacturing(AM),also known as three-dimensional printing,is gaining increasing attention from academia and industry due to the unique advantages it has in comparison with traditional subtractive manufacturing.However,AM processing parameters are difficult to tune,since they can exert a huge impact on the printed microstructure and on the performance of the subsequent products.It is a difficult task to build a process-structure-property-performance(PSPP)relationship for AM using traditional numerical and analytical models.Today,the machine learning(ML)method has been demonstrated to be a valid way to perform complex pattern recognition and regression analysis without an explicit need to construct and solve the underlying physical models.Among ML algorithms,the neural network(NN)is the most widely used model due to the large dataset that is currently available,strong computational power,and sophisticated algorithm architecture.This paper overviews the progress of applying the NN algorithm to several aspects of the AM whole chain,including model design,in situ monitoring,and quality evaluation.Current challenges in applying NNs to AM and potential solutions for these problems are then outlined.Finally,future trends are proposed in order to provide an overall discussion of this interdisciplinary area.展开更多
Objective： The aim of our study was to retrospectively analyze 15 patients＇ clinical materials with laparoscopic resection of liver neoplasms. Methods： From December 2007, a total of 15 patients with liver neoplasm...Objective： The aim of our study was to retrospectively analyze 15 patients＇ clinical materials with laparoscopic resection of liver neoplasms. Methods： From December 2007, a total of 15 patients with liver neoplasms were performed with laparoscopic hepatectomy, and their clinical materials, perioperative dates, postoperative complications, postoperative recovery and short-term curative effects were analyzed and summarized respectively. Results： Laparoscopic hepatectomy （LH） were performed in 15 patients, including 1 case underwent laparoscopic hepatic left Iobectomy, 1 case of left lateral hepatectomy, 13 cases of partial liver resection. Fourteen cases of total laparoscopic liver resections for liver neoplasms, 1 case of hand-assisted laparoscopic liver resection of the tumor, there was no conversion to open approach. Of the 15 patients with liver neoplasms, 13 cases of hepatic neoplasms with the maximum diameter was 8 cm× 8 cm × 9 cm, 9 cases of the borderline micro hepatocellular carcinoma （MHCC） with the diameter not more than 2 cm, 3 cases of hepatic benign tumor. The mean operation time was （120 ± 30） min, and the intraoperative average hemorrhage was 100 mL, beginning to eat and get out of bed following 1-2 days of operation. The average postoperative hospitalization was 8 days, WBC, ALl＇, AST, albumin, bilirubin returned to normal after one week of operation. There were no postoperative complications such as hemorrhage, bile leakage or air embolism etc. Twelve patients with HCC were confirmed by postoperative pathology, 1 case of liver smooth muscle lipoma, 2 case of hepatic hemangioma. By one year of followed-up in 12 cases of HCC, the longest survival was 38 months, and no recurrence or death, 1 year survival rate was 100%. Conclusion： Among the choice of cases, the advantages of LH for liver neoplasms compared with open surgery were less trauma, faster recovery and less blood loss. it is safe and effective for choosing a reasonable surgical indication, especially for peripheral micro hepatocellular carcinoma.展开更多
文摘Additive manufacturing(AM),also known as three-dimensional printing,is gaining increasing attention from academia and industry due to the unique advantages it has in comparison with traditional subtractive manufacturing.However,AM processing parameters are difficult to tune,since they can exert a huge impact on the printed microstructure and on the performance of the subsequent products.It is a difficult task to build a process-structure-property-performance(PSPP)relationship for AM using traditional numerical and analytical models.Today,the machine learning(ML)method has been demonstrated to be a valid way to perform complex pattern recognition and regression analysis without an explicit need to construct and solve the underlying physical models.Among ML algorithms,the neural network(NN)is the most widely used model due to the large dataset that is currently available,strong computational power,and sophisticated algorithm architecture.This paper overviews the progress of applying the NN algorithm to several aspects of the AM whole chain,including model design,in situ monitoring,and quality evaluation.Current challenges in applying NNs to AM and potential solutions for these problems are then outlined.Finally,future trends are proposed in order to provide an overall discussion of this interdisciplinary area.
文摘Objective： The aim of our study was to retrospectively analyze 15 patients＇ clinical materials with laparoscopic resection of liver neoplasms. Methods： From December 2007, a total of 15 patients with liver neoplasms were performed with laparoscopic hepatectomy, and their clinical materials, perioperative dates, postoperative complications, postoperative recovery and short-term curative effects were analyzed and summarized respectively. Results： Laparoscopic hepatectomy （LH） were performed in 15 patients, including 1 case underwent laparoscopic hepatic left Iobectomy, 1 case of left lateral hepatectomy, 13 cases of partial liver resection. Fourteen cases of total laparoscopic liver resections for liver neoplasms, 1 case of hand-assisted laparoscopic liver resection of the tumor, there was no conversion to open approach. Of the 15 patients with liver neoplasms, 13 cases of hepatic neoplasms with the maximum diameter was 8 cm× 8 cm × 9 cm, 9 cases of the borderline micro hepatocellular carcinoma （MHCC） with the diameter not more than 2 cm, 3 cases of hepatic benign tumor. The mean operation time was （120 ± 30） min, and the intraoperative average hemorrhage was 100 mL, beginning to eat and get out of bed following 1-2 days of operation. The average postoperative hospitalization was 8 days, WBC, ALl＇, AST, albumin, bilirubin returned to normal after one week of operation. There were no postoperative complications such as hemorrhage, bile leakage or air embolism etc. Twelve patients with HCC were confirmed by postoperative pathology, 1 case of liver smooth muscle lipoma, 2 case of hepatic hemangioma. By one year of followed-up in 12 cases of HCC, the longest survival was 38 months, and no recurrence or death, 1 year survival rate was 100%. Conclusion： Among the choice of cases, the advantages of LH for liver neoplasms compared with open surgery were less trauma, faster recovery and less blood loss. it is safe and effective for choosing a reasonable surgical indication, especially for peripheral micro hepatocellular carcinoma.
