Science Bldg. Ann Arbor

Looking south. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Oct. 19, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

South facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Oct. 19, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

South facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Nov. 3, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

North facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Nov. 11, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

South facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Nov. 18, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

North facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Nov. 18, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

North facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Dec. 18, 1914. Irwin + Leighton

Science Bldg. Ann Arbor

South facade. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos taken by Lyndon for contractor and given to UM Building & Grounds. On image: Science Bldg., Ann Arbor. Dec. 18, 1914. Irwin + Leighton

New Science Bldg. and cor [corner] Chemistry Bldg.

From southeast. Chemistry building on right. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. On verso: Please return to J. T. Gleason, New York. Also: G.R. Swain, 713 East University Ave., Ann Arbor, Mich. #5940

Zwischen Anpassung und Widerstand: Critical Science Literacy in der Wissensgesellschaft

In der gegenwärtigen "Wissensgesellschaft" spielt wissenschaftliches Wissen eine zentrale Rolle, um gesellschaftliche Verhältnisse herzustellen oder zu reproduzieren. Ein kritischer Umgang mit (wissenschaftlichem) Wissen - eine "critical science literacy" - eröffnet Möglichkeiten des Widerstands in der Wissensgesellschaft und kann damit als demokratische Grundfertigkeit begriffen werden. Im vorliegenden Beitrag gehen die Autorinnen den Möglichkeiten einer critical science literacy im Spannungsverhältnis von Anpassung und Widerstand nach. Sie werfen einen Blick auf die historische Entwicklung der Debatte um scientific literacy - ursprünglich nur als naturwissenschaftliche Grundkompetenz gedacht, aber mit einem durchaus kritisch reflexiven und demokratischen Moment - im Kontext demokratisch-kapitalistischer Verhältnisse. Sie verstehen critical science literacy als eine auf allen Ebenen der Wissensgenerierung und -bildung verantwortungsvolle, kollektive und eingreifende Praxis in gesellschaftliche Auseinandersetzungen. (DIPF/Orig.)

Contribuição para a valorização, geoconservação e gestão da jazida fossilífera de Cacela (Parque Natural da Ria Formosa, Algarve, Portugal)

Dissertação de mest. em Gestão e Conservação da Natureza, Faculdade de Ciências do Mar e do Ambiente, Univ. do Algarve, 2004

Improving taro (Colocasia esculenta var. esculenta) production using biotechnological approaches

Taro (Colocasia esculenta L. Schott) is an important crop worldwide but is of particular significance in many Pacific Island countries where it forms part of the staple diet and serves as an export commodity. Escalating pest and disease problems are jeopardizing taro production with serious implications to food security and trade. Biotechnological approaches to addressing pest and disease problems, such as somatic embryogenesis and transgenesis, are potentially viable options. However, despite biotechnological advancements in higher profile agronomic crops, such progress in relation to Colocasia esculenta var. esculenta has been slow. This paper reviews taro biology, highlights the cultural and economic significance of taro in Pacific Island countries and discusses the progress made towards the molecular breeding of this important crop to date.

Using text-spotting to query the world

The world we live in is well labeled for the benefit of humans but to date robots have made little use of this resource. In this paper we describe a system that allows robots to read and interpret visible text and use it to understand the content of the scene. We use a generative probabilistic model that explains spotted text in terms of arbitrary search terms. This allows the robot to understand the underlying function of the scene it is looking at, such as whether it is a bank or a restaurant. We describe the text spotting engine at the heart of our system that is able to detect and parse wild text in images, and the generative model, and present results from images obtained with a robot in a busy city setting.