A three dimensional model of the photosynthetic membranes of Ectothiorhodospira halochloris

The three dimensional organization of the complete photosynthetic apparatus of the extremely halophilic, bacteriochlorophyll b containing Ectothiorhodospira halochloris has been elaborated by several techniques of electron microscopy. Essentially all thylakoidal sacs are disc shaped and connected to the cytoplasmic membrane by small membraneous ldquobridgesrdquo. In sum, the lumina of all thylakoids (intrathylakoidal space) form one common periplasmic space. Thin sections confirm a paracrystalline arrangement of the photosynthetic complexes in situ. The ontogenic development of the photosynthetic apparatus is discussed based on a structural model derived from serial thin sections

The sacrifice of a throne being an account of the life of Amadeus, Duke fo Aosta, sometime king of Spain

328 p., [5] h. de lám

Stetson, Damon oral history interview

Damon Stetson was born August 1, 1915 in Hanover, Massachusetts. He attended Bates College where he took part in cross-country track and student reporting. He was an English major with the senior honors thesis topic: Charles Dickens: a social reformer. He graduated with honors in the class of 1936. He attended Columbia, receiving a master’s of science degree, and then began work with the Newark Evening News. He served in the Navy (intelligence) during World War II, and then worked for the New York Times, eventually in labor reporting. He headed the Detroit bureau of the Times in 1955. Erik Remsen, the interviewer, was a Bates College student and grandson of Damon

Scientific names of organisms : attribution, rights, and licensing

© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Research Notes 7 (2014): 79, doi:10.1186/1756-0500-7-79.As biological disciplines extend into the ‘big data’ world, they will need a names-based infrastructure to index and interconnect distributed data. The infrastructure must have access to all names of all organisms if it is to manage all information. Those who compile lists of species hold different views as to the intellectual property rights that apply to the lists. This creates uncertainty that impedes the development of a much-needed infrastructure for sharing biological data in the digital world. The laws in the United States of America and European Union are consistent with the position that scientific names of organisms and their compilation in checklists, classifications or taxonomic revisions are not subject to copyright. Compilations of names, such as classifications or checklists, are not creative in the sense of copyright law. Many content providers desire credit for their efforts. A ‘blue list’ identifies elements of checklists, classifications and monographs to which intellectual property rights do not apply. To promote sharing, authors of taxonomic content, compilers, intermediaries, and aggregators should receive citable recognition for their contributions, with the greatest recognition being given to the originating authors. Mechanisms for achieving this are discussed

Fifty-second supplement to the American Ornithologists\u27 Union Check-list of North American Birds

Volume: 12

Contributions of Monoclonal Antibodies With Anti-Neural Cell Adhesion Molecule Like Activity to Peripheral Nerve Regeneration.

Tubes containing monoclonal antibodies with anti-neural cell adhesion molecule (N-CAM)-like activity were applied to transected sciatic nerves to attempt to perturb the recovery of muscle function. Physiological recordings were used to estimate the return of function. The decline of implanted antibody over 28 days was estimated. No significant immune responses were detected in response to the implanted material. Electron microscopic and immunohistological analyses evaluated particular cellular disruptions in nerves due to the presence of these antibodies with anti-N-CAM like activity. Histological sections of fixed experimental nerves consistently revealed abnormal gaps between Schwann cells of regenerating nerves. This specific Schwann cell abnormality was not present in nerves of control animals and was no longer observed in experimental nerves after 60 days of survival. This time course was associated with antibody clearance and restoration of muscle function. We proposed that perturbed Schwann cell adhesive interactions disrupted the advance of neurites across nerve gaps and resulted in delayed regeneration. The data implicated N-CAM as a potential contributor to nerve regeneration

UAS-SfM for coastal research : geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery

© The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Remote Sensing 9 (2017): 1020, doi:10.3390/rs9101020.The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and visual reflectance datasets that rival existing lidar and imagery standards. Here, we use SfM to produce an elevation point cloud, an orthomosaic, and a digital elevation model (DEM) from data collected by UAS at a beach and wetland site in Massachusetts, USA. We apply existing methods to (a) determine the position of shorelines and foredunes using a feature extraction routine developed for lidar point clouds and (b) map land cover from the rasterized surfaces using a supervised classification routine. In both analyses, we experimentally vary the input datasets to understand the benefits and limitations of UAS-SfM for coastal vulnerability assessment. We find that (a) geomorphic features are extracted from the SfM point cloud with near-continuous coverage and sub-meter precision, better than was possible from a recent lidar dataset covering the same area; and (b) land cover classification is greatly improved by including topographic data with visual reflectance, but changes to resolution (when <50 cm) have little influence on the classification accuracy.This project was funded by the U.S. Geological Survey (USGS) Coastal and Marine Geology Program and the Department of the Interior Northeast Climate Science Center