We report 2 cases of pancreatic endocrine tumors that caused obstruction of the main pancreatic duct(MPD).A 49-year-old asymptomatic man was referred to our institution because dilation of the MPD was revealed by abdo...We report 2 cases of pancreatic endocrine tumors that caused obstruction of the main pancreatic duct(MPD).A 49-year-old asymptomatic man was referred to our institution because dilation of the MPD was revealed by abdominal ultrasonography(US).No tumor was detected by endoscopic ultrasonography,computed tomography(CT),and magnetic resonance imaging(MRI).The diameter of the MPD was > 20 mm at the body,and no dilation was noted at the head.Although malignancy was not confirmed through cytology or imaging,pancreatic cancer was strongly suspected.Pancreaticoduo-denectomy was performed.Pathological and immunohistochemical examination revealed a 5 mm × 3 mm serotonin-positive endocrine tumor.Fibrosis was present around the MPD and seemed to cause stricture.A 32-year-old asymptomatic man had elevated serum amylase,and US demonstrated dilation of the MPD.No tumor was detected by CT and MRI.Pancreatic cancer was suspected due to stricture and dilation of the MPD.Pancreatectomy of middle part of pancreas was performed.Pathological and immunohistochemical examination revealed a serotonin-positive endocrine tumor sized 5 mm × 4 mm.We report 2 cases of serotonin-positive pancreatic endocrine tumors that caused stricture of the MPD in spite of the small size of the tumor.展开更多
P2P traffic has always been a dominant portion of Internet traffic since its emergence in the late 1990s. The method used to accurately classify P2P traffic remains a key problem for Internet Service Producers （ISPs...P2P traffic has always been a dominant portion of Internet traffic since its emergence in the late 1990s. The method used to accurately classify P2P traffic remains a key problem for Internet Service Producers （ISPs） and network managers. This paper proposes a novel approach to the accurate classification of P2P traffic at a fine-grained level, which depends solely on the number of special flows during small time intervals. These special flows, named Clustering Flows （CFs）, are de- fined as the most frequent and steady flows generated by P2P applications. Hence we are able to classify P2P applications by detecting tlle appearance of corresponding CFs. Com- pared to existing approaches, our classifier can realise high classification accuracy by ex- ploiting only several generic properties of flows, instead of extracting sophisticated fea- tures from host behaviours or transport layer data. We validate our framework on a large set of P2P traffic traces using a Support Vector Machine （SVM）. Experimental results show that our approach correctly classifies P2P ap- plications with an average true positive rate of above 98% and a negligible false positive rate of about 0.01%.展开更多
文摘We report 2 cases of pancreatic endocrine tumors that caused obstruction of the main pancreatic duct(MPD).A 49-year-old asymptomatic man was referred to our institution because dilation of the MPD was revealed by abdominal ultrasonography(US).No tumor was detected by endoscopic ultrasonography,computed tomography(CT),and magnetic resonance imaging(MRI).The diameter of the MPD was > 20 mm at the body,and no dilation was noted at the head.Although malignancy was not confirmed through cytology or imaging,pancreatic cancer was strongly suspected.Pancreaticoduo-denectomy was performed.Pathological and immunohistochemical examination revealed a 5 mm × 3 mm serotonin-positive endocrine tumor.Fibrosis was present around the MPD and seemed to cause stricture.A 32-year-old asymptomatic man had elevated serum amylase,and US demonstrated dilation of the MPD.No tumor was detected by CT and MRI.Pancreatic cancer was suspected due to stricture and dilation of the MPD.Pancreatectomy of middle part of pancreas was performed.Pathological and immunohistochemical examination revealed a serotonin-positive endocrine tumor sized 5 mm × 4 mm.We report 2 cases of serotonin-positive pancreatic endocrine tumors that caused stricture of the MPD in spite of the small size of the tumor.
基金supported by the National Natural Science Foundation of China under Grants No.61170286,No.61202486
文摘P2P traffic has always been a dominant portion of Internet traffic since its emergence in the late 1990s. The method used to accurately classify P2P traffic remains a key problem for Internet Service Producers （ISPs） and network managers. This paper proposes a novel approach to the accurate classification of P2P traffic at a fine-grained level, which depends solely on the number of special flows during small time intervals. These special flows, named Clustering Flows （CFs）, are de- fined as the most frequent and steady flows generated by P2P applications. Hence we are able to classify P2P applications by detecting tlle appearance of corresponding CFs. Com- pared to existing approaches, our classifier can realise high classification accuracy by ex- ploiting only several generic properties of flows, instead of extracting sophisticated fea- tures from host behaviours or transport layer data. We validate our framework on a large set of P2P traffic traces using a Support Vector Machine （SVM）. Experimental results show that our approach correctly classifies P2P ap- plications with an average true positive rate of above 98% and a negligible false positive rate of about 0.01%.
