Effects of Wall Length and Vent on Attaching Jet and Its Switching

The effects of some geometries peculiar to the wallattachment fluidic devices on the attaching jet flow and the switching mechanism were experimentally made clear. And the propriety of the analytical mOdel, which has been used for the theoretical study of these devices, was investigated. The results can be summarized as follows: 1) The existing analytical model of the attaching jet flow is not applicable to the case of relatively short wall length of vent distance. 2) The attaching jet flow never detaches from a sufficiently long side wall with vent. 3) The switching mechanism of the vent type device is always the opposite wall switching. 4) From the viewpoint of the output characteristics of the device, the vent distance has a lower limit in relation to the vent width

Time-Series Analysis of Video Comments on Social Media

In this study, we propose a method to detect unfair rating cheat caused by multiple comment postings focusing on time-series analysis of the number of comments. We defined the videos that obtained a lot of comments by unfair cheat as ‘unfair video’ and defined the videos which obtained without unfair cheat as ‘popular video’. Specifically, our proposed method focused on the difference of chronological distributions of the comments between the popular videos and the unfair videos. As the evaluation result, our proposed method could obtain higher accuracy than that of the baseline method

Biliary reconstruction with right hepatic lobectomy due to delayed management of laparoscopic bile duct injuries: a case report.

We report a case requiring biliary reconstruction with right hepatic lobectomy due to biliary strictures caused by continuous cholangitis after laparoscopic bile duct injury. The patient, a 55-year-old woman, underwent laparoscopic cholecystectomy for cholelithiasis at another hospital. Although a bile leakage from the intraabdominal drain was observed several days after the operation, the patient was not given adequate treatment to stop the leakage. Two months after the initial laparoscopic cholecystectomy, she was referred to our hospital. Endoscopic retrograde cholangiopancreatography (ERCP) showed complete obstruction of the common hepatic duct, which was caused by clipping during laparoscopic cholecystectomy. Cholangiography from percutaneous transhepatic biliary drainage (PTBD) catheters revealed that sections of the secondary branches of the right intrahepatic bile duct had become constricted due to persistent cholangitis. Fortunately, the left hepatic duct was judged to be normal by imaging. Therefore, we elected to perform a right hepatic lobectomy and left hepaticojejunostomy, because we felt that performing a hepaticojejunostomy without hepatic resection would put the patient at risk of continuing to suffer from cholangitis. The patient was discharged on the 55 th postoperative day, and, 5 years after reconstructive surgery, is healthy and has remained free from biliary strictures in the remnant liver. Appropriate decision-making is essential in the treatment of biliary injury after laparoscopic cholecystectomy. Surgeons should not hesitate to perform biliary reconstruction with hepatic resection to reduce the risk of cholangitis or biliary strictures of the remnant liver. More importantly, preoperative clear imaging of the biliary tree and suitable management of any biliary injury which might occur are necessary to avoid having to perform reconstructive surgery.</p

Fluorine-incorporation scheme in fluorinated amorphous silicon prepared by various methods.

Fluorinated amorphous silicon (a-Si:F) films are prepared by three different methods: glow-discharge decomposition of SiF2 gas, magnetron sputtering, and conventional diode sputtering. The incorporation scheme of F atoms is investigated by means of nuclear magnetic resonance (NMR) and infrared (ir) absorption measurements. 19F NMR signals observed at 4.2 K can be simulated by superposing signals from dispersed F atoms, clustered F atoms, SiF4 molecules, and SiF3 species. The content of SiF4 increases by annealing in agreement with an increase in the intensity of ir absorption at 1020 cm-1. 19F NMR signals at 77 K and at room temperature show the effect of motional narrowing because SiF4 molecules move easily in the amorphous network

A fault detection technique based on deep transfer learning from experimental linear actuator to real-world railway door systems

Fault detection for railway door systems based on data-driven approaches has been investigated in recent years due to the massive amount of available monitoring data. Despite much attention to its application, the major challenge is the lack of available faulty datasets to build a reliable model since railway maintenance is usually conducted regularly to avoid significant defects from economic and safety points of view. We aimed to tackle the issue by employing transfer learning. Firstly, we built a long-short term memory-based deep learning model using linear actuator experimental datasets. Then, we employed a transfer learning technique to adjust the deep learning model to be available to real-world railway door systems using a small amount of faulty data. As a result, high fault detection accuracy can be obtained at 0.979 as F1 score. The result reveals that an accurate fault detection model can be built even though a large amount of labelled datasets is unavailable. In addition, the proposed method is applicable to other door systems or electro-mechanical actuators since the method is unspecific to physical mechanisms and fault modes, and the only motor current signal is used in this research. The signal is primarily available from the controller or motor drive without additional sensors