Tob is a member of the anti-proliferative protein family, which functions in transcription and mRNA decay. We have previously demonstrated that Tob is involved in the general mechanism of mRNA decay by mediating mRNA deadenylation through interaction with Caf1 and a general RNA-binding protein, PABPC1. Here, we focus on the role of Tob in the regulation of specific mRNA. We show that Tob binds directly to a sequence-specific RNA-binding protein, cytoplasmic polyadenylation element-binding protein 3 (CPEB3). CPEB3 negatively regulates the expression of a target by accelerating deadenylation and decay of its mRNA, which it achieves by tethering to the mRNA. The carboxyl-terminal RNA-binding domain of CPEB3 binds to the carboxyl-terminal unstructured region of Tob. Tob then binds Caf1 deadenylase and recruits it to CPEB3 to form a ternary complex. The CPEB3-accelerated deadenylation was abrogated by a dominant-negative mutant of either Caf1 or Tob. Together, these results indicate that Tob mediates the recruitment of Caf1 to the target of CPEB3 and elicits deadenylation and decay of the mRNA. Our results provide an explanation of how Tob regulates specific biological processes.

No abstract

This paper proposes detection method of ships using navigationahmage sequence analyzed by HSV transform ． The reg 重 on constructed with same color can be detected for specifying a Hue range ． But it is difficult to decide a color of a target ship ． So we proposed detection methods of ships by distribut 圭 on of Hue variance ． W 合 verified the advantages of the proposed methods by processing images captured at the Tbkyo port and Tokyo Bay． As a result ， the operator method was judged to be the most excellent 。 The operator method divides the image into a sma11 rectangular area ， and to calculate the variance of Hue in the area ． The areas 出 at include ships have many colors ， so the variance will be high． We scanned the image with operator and check the variance ， because the area wiIh high variance includes ships．It tumed out that it was not possible to detect wemn the Rain and Fog conditions ． As for these conditions ， we can solve by taking a picture by the infrared camera simukaneously and using value parameteL Keywords ： lmage processing ， Informat 加 system ， HSV ， Variance ， Image sequence ， 1＞α V ' gatien system

This papcr proposes a method for beatings measurement of ships that dctected using navigational image scquence ． This proposal method can measure bearings of ships by throc data ． There are the arrangement between a camera and a hull ． 【 he course ofown ship ， and coordinates of ships detcctcd from the image． We eva 且 ua し cd 1he effectiveness of the present method by applying iUo images taken at Tokyo Bay， In this experiment ， on board the shlp ， we obtained approximately 6 − h running video images． These included approximately 2 − h or rし匚nning imagcs that Gaptured other ships crossing in front of moni 〔 or ' s own ship ． The result by lhc proposal technique was compared wlth the resul 匸of mcasuring in the visual observation by navigator ． In 159measurcmcnts ， the difference was within レ degree on 92 ％ ofcomparlson result ． The i鼡 egratiQD of navigation equipment as typified by ECDIS and the image prQcessing systcm pre8ented in this

This paper proposes a detection method of movilg ships through a navigational image sequence taken by multi − sensor ． The marine accidents mostly occurred within 3 nautical miles from the coastal lirlc or in the por し Most of them were collision or stranding ． Meanwhile 75％ of the marine accidents were caused by hum 跚 error ♪ due to insufficient loekout ． To deal with this problem， we suggest the application of image − processing techniques to automate the lookout system ． This system used the infrared cam ¢ ra together with the video camera ， since the apPlication of the video camera caushlg j 皿 sufflcient exposure during the night ， or thc detection of ships was di伍 cult under rain condition ． The multi − sensor camera system composed of the video camera with CCD (Charge Coupled Device) sensor and the in 飴 rcd camera with SOI (Silicon On Insulator) diode sensor ． We verified the advantage f辷om the experiment at Tokyo Bay

The main cause ofthe collision between ships is the insufficient lookout Therefore ， the monitoring system that supports the lookout has been required ． This paper proposes the technique that extracts ships and obstructions from the navigational image sequence taken at the bridge ． It has been difficult to separate the ship from the complicated background by the conventional technique ． In the proposed technique the image sequence is converted into Hue ， Saturation and Value， Then ， it is divided into regions from the value ofeach pixel ． The moving vector is calculated by the collatien betWeen images ofthe region ． The ship is extracted by the classification ofthe property ofthis moving vector ． By this technique ， it becomes possible that only the ship can be robustly detected from the lmage wlth the complicated background such as channels ， waterways