Art, Performance and Ritual in Benin City

2007 ◽  
Author(s):  
Charles Gore
Keyword(s):  
Benin City ◽  
Art Performance

GEOPHYSICAL AND WATER QUALITY INDEX SURVEYS OF GROUNDWATER QUALITY AROUND UGBOR DUMPSITE IN BENIN CITY, EDO STATE, NIGERIA, WEST AFRICA.

2016 ◽  
Vol 12 (3) ◽  
pp. 4383-4393
Author(s):  
Osabuohien Idehen
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Dry Season ◽  
Depth Range ◽  
Benin City ◽  
Physico Chemical ◽  
Vertical Electric Sounding ◽  
Geoelectric Layer

This study takes a look into groundwater quality at Ugbor Dumpsite area using water quality index (WQI), 2-Dimensional (2-D) geophysical resistivity tomography and vertical electric sounding (VES).The geophysical resistivity methods employed revealed the depth to aquifer, the geoelectric layers being made up of lateritic topsoil, clayed sand and sand. Along the trasverse line in the third geoelectric layer of lateral distance of 76 m to 100 m is a very low resistivity of 0.9 to 13 m from a depth range o f about 3 to 25 m beneath the surface- indicating contamination. Water samples were collected and analyzed at the same site during the raining season and during the dry season. The value of water quality index during the raining season was 115.92 and during the dry season was 147.43. Since values at both seasons were more than 100, it implies that the water is contaminated to some extent and therefore poor for drinking purpose. The Water Quality Index was established from important analyses of biological and physico-chemical parameters with significant health importance. These values computed for dumpsite area at Ugbor were mostly contributed by the seasonal variations in the concentrations of some parameters, such as, conductivity, total dissolved solids, hardness, alkalinity, chlorides, nitrates, calcium,  phosphates, zinc, which showed significant differences (P<0.01 and P<0.05) in seasonal variation.

Der Tod als ästhetisches Experiment

2012 ◽  
Vol 57 (2) ◽  
pp. 150-161
Author(s):  
Leander Scholz
Keyword(s):  
Self Determination ◽  
Modern Concept ◽  
Work Of Art ◽  
The Social ◽  
Art Performance ◽  
Humanistic Tradition

Als der Künstler Gregor Schneider im Frühjahr 2008 ein Kunstprojekt ankündigte, bei dem ein Mensch, der im Sterben liegt, im Rahmen einer künstlerischen Performance ausgestellt werden sollte, waren die Reaktionen überwiegend äußerst kritisch. Während Gregor Schneider sein Projekt explizit als einen humanistischen Beitrag verstand, der sich gegen die Tabuisierung des Sterbens richten sollte, sahen die meisten Kommentatoren darin eine pietätslose Preisgabe des Sterbenden an die voyeuristischen Blicke des Publikums. Vor dem Hintergrund dieser Diskussion geht der Aufsatz der Frage nach, was es bedeutet, den Tod eines Menschen wie ein künstlerisches Werk zu inszenieren, und ordnet den Anspruch einer nicht nur ethischen, sondern auch ästhetischen Selbstbestimmung angesichts des Todes in die humanistische Tradition des modernen Werkgedankens ein.<br><br>In the spring of 2008, the artist Georg Schneider announced an art performance with a mortally ill person. Most of the responses to this art project were very critical. While the artist argued that the exhibition of a dying person should be understood as a humanistic intervention against the social taboo of death, commentators often criticized the exhibition as voyeuristic. Based on this discussion, the article explores what it means to stage a dying person as a piece of art and investigates the historical conditions of this project by locating the longing for ethic and aesthetic self-determination within the humanistic tradition of the modern concept of the work of art.

scholarly journals PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Changyong Li ◽  
Yongxian Fan ◽  
Xiaodong Cai
Keyword(s):  
Image Segmentation ◽  
Deep Learning ◽  
State Of The Art ◽  
Experimental Results ◽  
Actual Situation ◽  
Controlled Experiments ◽  
Biomedical Image ◽  
Segmentation Methods ◽  
Art Performance

Abstract Background With the development of deep learning (DL), more and more methods based on deep learning are proposed and achieve state-of-the-art performance in biomedical image segmentation. However, these methods are usually complex and require the support of powerful computing resources. According to the actual situation, it is impractical that we use huge computing resources in clinical situations. Thus, it is significant to develop accurate DL based biomedical image segmentation methods which depend on resources-constraint computing. Results A lightweight and multiscale network called PyConvU-Net is proposed to potentially work with low-resources computing. Through strictly controlled experiments, PyConvU-Net predictions have a good performance on three biomedical image segmentation tasks with the fewest parameters. Conclusions Our experimental results preliminarily demonstrate the potential of proposed PyConvU-Net in biomedical image segmentation with resources-constraint computing.

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