LipidBlast templates as flexible tools for creating new in-silico tandem mass spectral libraries.

Tandem mass spectral libraries (MS/MS) are usually built by acquiring experimentally measured mass spectra from chemical reference compounds. We here show the versatility of in-silico or computer generated tandem mass spectra that are directly obtained from compound structures. We use the freely available LipidBlast development software to generate 15 000 MS/MS spectra of the glucuronosyldiacylglycerol (GlcADG) lipid class, recently discovered for the first time in plants. The generation of such an in-silico MS/MS library for positive and negative ionization mode took 5 h development time, including the validation of the obtained mass spectra. Such libraries allow for high-throughput annotations of previously unknown glycolipids. The publicly available LipidBlast templates are universally applicable for the development of MS/MS libraries for novel lipid classes

Von K\'arm\'an vortex street in a Bose-Einstein condensate

Vortex shedding from an obstacle potential moving in a Bose-Einstein condensate is investigated. Long-lived alternately aligned vortex pairs are found to form in the wake, as for the von K\'arm\'an vortex street in classical viscous fluids. Various patterns of vortex shedding are systematically studied and the drag force on the obstacle is calculated. It is shown that the phenomenon can be observed in a trapped system.Comment: 4 pages, 5 figure

A GIS-based Support Tool for Exploring Land Use Policy Considering Future Depopulation and Urban Vulnerability to Natural Disasters – A Case Study of Toyohashi City, Japan -

AbstractIn Japan, where the aging society is progressing due to depopulation and a high risk of natural disasters, such as earthquakes and floods, many actual urban master plans (MPs) do not consider the relation between countermeasures for future depopulation and disaster mitigation. Local governments do not regard long-term depopulation as a viable opportunity to establish land use policy that promotes reasonable land use by aggregating urban land use to areas with low risk.This paper proposes the development of a tool for the exploration of land use policy that realizes an intensive urban structure by considering future depopulation and urban vulnerability to natural disasters. The tool serves as a GIS-based database of information about disaster risk for floods and earthquakes, future populations, previous and existing urban land use conditions, urban structures. The following results are obtained from a case study. First, experts such as local government can distinguish areas with high risk by two types of areas: 1) areas characterized by a slow progression of depopulation and aging and 2) areas in which it is difficult to sustain the local community and provide public services due to the progression of depopulation and aging. The results of this study can confirm various data on urban structures, such as transportation infrastructure, and core urban areas that provide life services and land use history. Reasonable land use countermeasures for reducing disaster risk can be explored by considering previous and existing conditions of urban land use

Web Omnidirectional Image Viewer for Field Event Extraction

A Web-based image viewer for observing an omnidirectional image of fields is proposed. Conventional monitoring systems are monitoring a narrow area of fields, and their image viewers are not optimized for comparing accumulated images. We implemented two functions of the viewer to compare images and conducted an experiment to evaluate their performance. The experimental results showed that Time-travel mode, which partially shows another image in a circular region on an omnidirectional image, had a high degree of usability for extracting field events from accumulated images. The proposed system can help farmers capture comprehensive, panoramic views of their farm for field management.</jats:p

Application of Robotics for Therapeutic Exercise of Neural Disorder

Background: The application of robots for rehabilitation has been developing over the past decade. In neuro-rehabilitation, motor learning has become an important topic. To maximize the effect of motor learning, we need to clarify the key muscle and adequate intensity

A Preliminary Test of Measurement of Joint Angles and Stride Length with Wireless Inertial Sensors for Wearable Gait Evaluation System

The purpose of this study is to develop wearable sensor system for gait evaluation using gyroscopes and accelerometers for application to rehabilitation, healthcare and so on. In this paper, simultaneous measurement of joint angles of lower limbs and stride length was tested with a prototype of wearable sensor system. The system measured the joint angles using the Kalman filter. Signals from the sensor attached on the foot were used in the stride length estimation detecting foot movement automatically. Joint angles of the lower limbs were measured with stable and reasonable accuracy compared to those values measured with optical motion measurement system with healthy subjects. It was expected that the stride length measurement with the wearable sensor system would be practical by realizing more stable measurement accuracy. Sensor attachment position was suggested not to affect significantly measurement of slow and normal speed movements in a test with the rigid body model. Joint angle patterns measured in 10 m walking with a healthy subject were similar to common patterns. High correlation between joint angles at some characteristic points and stride velocity were also found adequately. These results suggested that the wireless wearable inertial sensor system could detect characteristics of gait