Better Architecture, Better Software, Better Research

Better software drives better research, a fundamental principle in the research software engineering community. Similarly, better architecture underpins better software, a core belief in the software engineering research community. Therefore, we advocate and emphasize the importance of designing robust architectures for research software to elevate the quality of research outcomes, and illustrate this with two case studies.</p

Infection of protoplasts from yeast with tobacco mosaic virus

PROTOPLASTS from higher plant cells can become infected with plant viruses under special conditions, and it has been shown that yeast cells can become infected with viruses normally found in different fungal genera . We thought that naked yeast cells (yeast protoplasts) might provide a suitable system for demonstrating the infection of yeast cells with a virus such as tobacco mosaic virus (TMV). We report here how we infected yeast protoplasts with TMV and measured its multiplication in them.Peer reviewe

The science and practice of pharmacy /

V. 1. Pharmaceutical operations and the manufacture of pharmacopoeial substances. -- v. 2. The physical and chemical examination of pharmacopoeial substances

Infection of protoplasts from yeast with tobacco mosaic virus

PROTOPLASTS from higher plant cells can become infected with plant viruses under special conditions, and it has been shown that yeast cells can become infected with viruses normally found in different fungal genera . We thought that naked yeast cells (yeast protoplasts) might provide a suitable system for demonstrating the infection of yeast cells with a virus such as tobacco mosaic virus (TMV). We report here how we infected yeast protoplasts with TMV and measured its multiplication in them

Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction

AbstractThis International Programme on Landslide (IPL) Project 202 paper presents a scalable remote piloted aircraft system (RPAS) platform that streamlines unoccupied aerial vehicle (UAV) flight operations for data capture, cloud processing and image rendering to inventory and monitor slow-moving landslides along the national railway transportation corridor in southwestern British Columbia, Canada. Merging UAV photogrammetry, ground-based real-time kinematic global navigation satellite system (RTK-GNSS) measurements, and satellite synthetic aperture radar interferometry (InSAR) datasets best characterizes the distribution, morphology and activity of landslides over time. Our study shows that epochal UAV photogrammetry, benchmarked with periodic ground-based RTK-GNSS measurements and satellite InSAR platforms with repeat visit times of weeks (e.g., RADARSAT-2 and SENTINEL-1) to days (e.g. RADARSAT Constellation Mission) provides rapid landslide monitoring capability with cm-scale precision and accuracy.</jats:p

Benchmarked RADARSAT-2, SENTINEL-1 and RADARSAT Constellation Mission Change-Detection Monitoring at North Slide, Thompson River Valley, British Columbia: ensuring a Landslide-Resilient National Railway Network

In this research note, we demonstrate the applicability of interferometric analyses (InSAR) of RADARSAT 2 (RS2), SENTINEL 1 (S1) and RADARSAT Constellation Mission (RCM) datasets to characterize and monitor landslides along a high-risk section of the national railway transportation corridor traversing the Thompson River valley, British Columbia. As a geomorphically active landform, the North Slide is an ideal case study for field-testing and evaluating slope change-detection monitoring incorporating satellite, aerial and ground-based geospatial technologies. RS2, S1 and RCM InSAR datasets provide valuable baseline spatial and temporal information on movement of the landslide near critical railway infrastructure when benchmarked with real-time kinematic (RTK) global navigation satellite system (GNSS) measurements, uninhabited aerial vehicle (UAV) photogrammetry, bathymetric soundings, and ground observations. We demonstrate that monitoring unstable slopes and infrastructure at risk with multiple high spatial- and temporal-resolution satellite SAR platforms is a cost-effective natural hazard management practice that also provides important geoscience information to help develop appropriate mitigation and climate adaptation measures