Dominion of Canada and Colony of Newfoundland Gazetteer and Classified Business Directory (1899)

Business directory for Canada and Newfoundland for the year 1899

Thesaurus of english words and phrases classified and arranged so asto facilitate the expression of ideas and assiet in literary composition

UANL

A Practical Grammar in Which Words, Phrases, and Sentences are Classified According to Their Offices and...

UANL

Next Generation Catalogs (NGCs) : Meeting User Needs with Metadata and Search Technology

Recommendations • Become a beta partner with vendor • Test load collections before going live • Update cataloging codes to benefit your community • Don’t expect to drastically change cataloging practices

THE SLOAN DIGITAL SKY SURVEY CO-ADD: A GALAXY PHOTOMETRIC REDSHIFT CATALOG

We present and describe a catalog of galaxy photometric redshifts (photo-z) for the Sloan Digital Sky Survey (SDSS) Co-add Data. We use the artificial neural network (ANN) technique to calculate the photo-z and the nearest neighbor error method to estimate photo-z errors for similar to 13 million objects classified as galaxies in the co-add with r < 24.5. The photo-z and photo-z error estimators are trained and validated on a sample of similar to 83,000 galaxies that have SDSS photometry and spectroscopic redshifts measured by the SDSS Data Release 7 (DR7), the Canadian Network for Observational Cosmology Field Galaxy Survey, the Deep Extragalactic Evolutionary Probe Data Release 3, the VIsible imaging Multi-Object Spectrograph-Very Large Telescope Deep Survey, and the WiggleZ Dark Energy Survey. For the best ANN methods we have tried, we find that 68% of the galaxies in the validation set have a photo-z error smaller than sigma(68) = 0.031. After presenting our results and quality tests, we provide a short guide for users accessing the public data.

Microbial load in instruments used in surgeries classified as clean

Introduction / objectives The number of orthopedic surgery, especially surgery of total hip and knee, have been more frequent due to technological advances. This study aims to determine the microbial load in the instruments used in clean surgeries, quantifying and identifying the genus and species of microbial growth.Methods Orthopedic surgical instruments were immersed, after use, in sterile water, sonicated in ultrasonic washer and consecutively shaken. Then, the lavage was filtered through a 0.45micron membrane, the result was incubated in aerobic medium, anaerobic medium and medium for fungi and yeasts. Results In clean surgeries, results showed that 47% of used instruments had microbiological growth in the range of 1 to 100 CFU/instrument. The most prevalent organism was Staphylococcus coagulase negative (28%), followed by Bacillus subtilis (11%).This study refuted the hypothesis that clean surgeries happen in micro-organismsfree surgery field. Conclusion The microbiological findings reinforce the importance of antibiotic prophylaxis, practice already well established for this category of surgical procedure.

Do boys and girls shere the same characteristics when they are equally classified as active or inactive?

[EN] Participation in regular physical activity in young ages is associated with health benefits. Understanding the correlated factors of physical activity is essential for the development and improvement of public health intervention. The aim of this study was to compare boys and girls when they are classified as active or inactive.

A rare case of a large spinal meningioma with mediastinal extension and malignant behavior classified histologically as benign

AIM To report a rare case of a spinal WHO grade I meningioma extending through intervertebral foramina C7 to D4 with an extensive mediastinal mass and infiltration of the vertebrae, and to discuss the malignant behavior of a tumor classified as benign. METHODS (Clinical Presentation, Histology, and Imaging): A 54-year-old man suffered from increasing lower back pain with gait difficulties, weakness and numbness of the lower extremities, as well as urge incontinence. CT scan of the thorax and MRI scan of the spine revealed a large prevertebral tumor, which extended to the spinal canal and caused compression of the spinal cord at the levels of C7 to D4 leading to myelopathy with hyperintense signal alteration on T2-weighted MRI images. The signal constellation (T1 with and without contrast, T2, TIR) was highly suspicious for infiltration of vertebrae C7 to D5. Somatostatin receptor SPECT/CT with (111)In-DTPA-D: -Phe-1-octreotide detected a somatostatin receptor-positive mediastinal tumor with infiltration of multiple vertebrae, dura, and intervertebral foramina C7-D4, partially with Krenning score >2. Percutaneous biopsies of the mediastinal mass led to histopathological findings of WHO grade I meningioma of meningothelial subtype. RESULTS (Therapy): C7 to D4 laminoplasty was performed, and the intraspinal, extradural part of the tumor was microsurgically removed. Postoperative stereotactic radiation therapy was done using the volumetric modulated arc therapy (VMAT) technique (RapidArc). No PRRNT with (90)Y-DOTA-TOC was done. CONCLUSIONS Due to the rare incidence and complex presentation of this disease not amenable to complete surgical resection, an individualized treatment approach should be worked out interdisciplinarily. The treatment approach should be based not only on histology but also on clinical and imaging findings. Close clinical and radiological follow-up may be mandatory even for benign tumors.

The comprehensiveness of the ESHRE/ESGE classification of female genital tract congenital anomalies: a systematic review of cases not classified by the AFS system.

STUDY QUESTION How comprehensive is the recently published European Society of Human Reproduction and Embryology (ESHRE)/European Society for Gynaecological Endoscopy (ESGE) classification system of female genital anomalies? SUMMARY ANSWER The ESHRE/ESGE classification provides a comprehensive description and categorization of almost all of the currently known anomalies that could not be classified properly with the American Fertility Society (AFS) system. WHAT IS KNOWN ALREADY Until now, the more accepted classification system, namely that of the AFS, is associated with serious limitations in effective categorization of female genital anomalies. Many cases published in the literature could not be properly classified using the AFS system, yet a clear and accurate classification is a prerequisite for treatment. STUDY DESIGN, SIZE AND DURATION The CONUTA (CONgenital UTerine Anomalies) ESHRE/ESGE group conducted a systematic review of the literature to examine if those types of anomalies that could not be properly classified with the AFS system could be effectively classified with the use of the new ESHRE/ESGE system. An electronic literature search through Medline, Embase and Cochrane library was carried out from January 1988 to January 2014. Three participants independently screened, selected articles of potential interest and finally extracted data from all the included studies. Any disagreement was discussed and resolved after consultation with a fourth reviewer and the results were assessed independently and approved by all members of the CONUTA group. PARTICIPANTS/MATERIALS, SETTING, METHODS Among the 143 articles assessed in detail, 120 were finally selected reporting 140 cases that could not properly fit into a specific class of the AFS system. Those 140 cases were clustered in 39 different types of anomalies. MAIN RESULTS AND THE ROLE OF CHANCE The congenital anomaly involved a single organ in 12 (30.8%) out of the 39 types of anomalies, while multiple organs and/or segments of Müllerian ducts (complex anomaly) were involved in 27 (69.2%) types. Uterus was the organ most frequently involved (30/39: 76.9%), followed by cervix (26/39: 66.7%) and vagina (23/39: 59%). In all 39 types, the ESHRE/ESGE classification system provided a comprehensive description of each single or complex anomaly. A precise categorization was reached in 38 out of 39 types studied. Only one case of a bizarre uterine anomaly, with no clear embryological defect, could not be categorized and thus was placed in Class 6 (un-classified) of the ESHRE/ESGE system. LIMITATIONS, REASONS FOR CAUTION The review of the literature was thorough but we cannot rule out the possibility that other defects exist which will also require testing in the new ESHRE/ESGE system. These anomalies, however, must be rare. WIDER IMPLICATIONS OF THE FINDINGS The comprehensiveness of the ESHRE/ESGE classification adds objective scientific validity to its use. This may, therefore, promote its further dissemination and acceptance, which will have a positive outcome in clinical care and research. STUDY FUNDING/COMPETING INTERESTS None.

Classified Adélie penguin colonies from Landsat data

Breeding distribution of the Adelie penguin, Pygoscelis adeliae, was surveyed with Landsat-7 Enhanced Thematic Mapper Plus (ETM+) data along the coastline of Antarctica, an area covering approximately 330° of longitude. An algorithm was designed to minimize the radiometric contribution from exogenous sources and to retrieve Adelie penguin colony location and spatial extent from the ETM+ data. In all, 9143 individual pixels were classified as belonging to an Adelie penguin colony class out of the entire dataset of 195 ETM+ scenes, where the dimension of each pixel is 30 m by 30 m, and each scene is approximately 180 km by 180 km. Pixel clustering identified a total of 187 individual Adelie penguin colonies, ranging in size from a single pixel (900 m**2) to a maximum of 875 pixels (0.788 km**2). Colony retrievals have a very low error of commission, on the order of 1 percent or less, and the error of omission was estimated to be 2.9 percent by population based on comparisons with direct observations from surveys across east Antarctica. Thus, the Landsat retrievals can successfully locate Adelie penguin colonies that account for ~97 percent of a regional population. Geographic coordinates and the spatial extent of each colony retrieved from the Landsat data are available publically. Regional analysis found several areas where the Landsat retrievals suggest populations that are significantly larger than published estimates. Six Adelie penguin colonies were found that are believed to be unreported in the literature.

Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data

The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modeling.

Atlantic salmon (Salmo salar) parr as a model to predict the optimum inclusion of air classified faba bean protein concentrate in feeds for seawater salmon

Peer reviewed