Biological processes on Arctic continental shelves: Ice-ocean-biotic interactions

1995 ◽  
pp. 231-261 ◽  
Author(s):  
Jacqueline M. Grebmeier ◽  
Walker O. Smith ◽  
Robert J. Conover
Keyword(s):  
Biotic Interactions ◽  
Biological Processes ◽  
Continental Shelves

The marine benthos of Arctic and sub-Arctic continental shelves

Polar Record ◽  
1975 ◽  
Vol 17 (111) ◽  
pp. 595-626 ◽  
Author(s):  
Mark A. Curtis
Keyword(s):  
Life Science ◽  
Science Studies ◽  
The Arctic ◽  
Biological Research ◽  
Bottom Fauna ◽  
Polar Regions ◽  
Biological Processes ◽  
Arctic Seas ◽  
Marine Life ◽  
Continental Shelves

The study of marine life from the bottom of Arctic and sub-Arctic seas has long been a topic of scientific interest, and such work represents an important part of contemporary biological research in the polar regions. Contributions to this field have been made through the collective efforts of investigators from many nations over the years and include findings of considerable significance for life science studies as a whole, as well as for specific polar problems. Together with contemporary research on the pelagic and planktonic biota of northern waters, current work on the bottom fauna (benthos) offers much potential for developing our fundamental knowledge of biological processes in the Arctic seas.

scholarly journals gen3sis: A general engine for eco-evolutionary simulations of the processes that shape Earth’s biodiversity

PLoS Biology ◽  
2021 ◽  
Vol 19 (7) ◽  
pp. e3001340
Author(s):  
Oskar Hagen ◽  
Benjamin Flück ◽  
Fabian Fopp ◽  
Juliano S. Cabral ◽  
Florian Hartig ◽  
...  
Keyword(s):  
Biotic Interactions ◽  
R Package ◽  
Biological Processes ◽  
Ecological Traits ◽  
Biodiversity Patterns ◽  
Diversity Gradient ◽  
Dynamic Landscapes ◽  
Alternative Hypotheses ◽  
Model Engine ◽  
Evolutionary Simulations

Understanding the origins of biodiversity has been an aspiration since the days of early naturalists. The immense complexity of ecological, evolutionary, and spatial processes, however, has made this goal elusive to this day. Computer models serve progress in many scientific fields, but in the fields of macroecology and macroevolution, eco-evolutionary models are comparatively less developed. We present a general, spatially explicit, eco-evolutionary engine with a modular implementation that enables the modeling of multiple macroecological and macroevolutionary processes and feedbacks across representative spatiotemporally dynamic landscapes. Modeled processes can include species’ abiotic tolerances, biotic interactions, dispersal, speciation, and evolution of ecological traits. Commonly observed biodiversity patterns, such as α, β, and γ diversity, species ranges, ecological traits, and phylogenies, emerge as simulations proceed. As an illustration, we examine alternative hypotheses expected to have shaped the latitudinal diversity gradient (LDG) during the Earth’s Cenozoic era. Our exploratory simulations simultaneously produce multiple realistic biodiversity patterns, such as the LDG, current species richness, and range size frequencies, as well as phylogenetic metrics. The model engine is open source and available as an R package, enabling future exploration of various landscapes and biological processes, while outputs can be linked with a variety of empirical biodiversity patterns. This work represents a key toward a numeric, interdisciplinary, and mechanistic understanding of the physical and biological processes that shape Earth’s biodiversity.

scholarly journals gen3sis: the general engine for eco-evolutionary simulations on the origins of biodiversity

2021 ◽  
Author(s):  
Oskar Hagen ◽  
Benjamin Flück ◽  
Fabian Fopp ◽  
Juliano S. Cabral ◽  
Florian Hartig ◽  
...  
Keyword(s):  
Environmental Filtering ◽  
Biotic Interactions ◽  
R Package ◽  
Biological Processes ◽  
Ecological Traits ◽  
Biodiversity Patterns ◽  
Diversity Gradient ◽  
Dynamic Landscapes ◽  
Alternative Hypotheses ◽  
Model Engine

AbstractUnderstanding the origins of biodiversity has been an aspiration since the days of early naturalists. The immense complexity of ecological, evolutionary and spatial processes, however, has made this goal elusive to this day. Computer models serve progress in many scientific fields, but in the fields of macroecology and macroevolution, eco-evolutionary models are comparatively less developed. We present a general, spatially-explicit, eco-evolutionary engine with a modular implementation that enables the modelling of multiple macroecological and macroevolutionary processes and feedbacks across representative spatio-temporally dynamic landscapes. Modelled processes can include environmental filtering, biotic interactions, dispersal, speciation and evolution of ecological traits. Commonly observed biodiversity patterns, such as α, β and γ diversity, species ranges, ecological traits and phylogenies, emerge as simulations proceed. As a case study, we examined alternative hypotheses expected to have shaped the latitudinal diversity gradient (LDG) during the Earth’s Cenozoic era. We found that a carrying capacity linked with energy was the only model variant that could simultaneously produce a realistic LDG, species range size frequencies, and phylogenetic tree balance. The model engine is open source and available as an R-package, enabling future exploration of various landscapes and biological processes, while outputs can be linked with a variety of empirical biodiversity patterns. This work represents a step towards a numeric and mechanistic understanding of the physical and biological processes that shape Earth’s biodiversity.

Fluorescent potentiometric dyes for membrane-potential imaging

1994 ◽  
Vol 52 ◽  
pp. 166-167
Author(s):  
Leslie M. Loew
Keyword(s):  
Membrane Potential ◽  
Single Cells ◽  
Quantitative Imaging ◽  
Optical Recording ◽  
Biological Processes ◽  
Major Focus ◽  
The Past ◽  
Excitable Systems ◽  
Major Application ◽  
The Impact

A major application of potentiometric dyes has been the multisite optical recording of electrical activity in excitable systems. After being championed by L.B. Cohen and his colleagues for the past 20 years, the impact of this technology is rapidly being felt and is spreading to an increasing number of neuroscience laboratories. A second class of experiments involves using dyes to image membrane potential distributions in single cells by digital imaging microscopy - a major focus of this lab. These studies usually do not require the temporal resolution of multisite optical recording, being primarily focussed on slow cell biological processes, and therefore can achieve much higher spatial resolution. We have developed 2 methods for quantitative imaging of membrane potential. One method uses dual wavelength imaging of membrane-staining dyes and the other uses quantitative 3D imaging of a fluorescent lipophilic cation; the dyes used in each case were synthesized for this purpose in this laboratory.

Apoptosis and development

2003 ◽  
Vol 39 ◽  
pp. 11-24 ◽  
Author(s):  
Justin V McCarthy
Keyword(s):  
Drosophila Melanogaster ◽  
Mammalian Cells ◽  
Cell Number ◽  
Model Organisms ◽  
Biological Processes ◽  
Nematode Caenorhabditis Elegans ◽  
Apoptotic Pathway ◽  
Genetic Pathways ◽  
Evolutionarily Conserved ◽  
Multicellular Organisms

Apoptosis is an evolutionarily conserved process used by multicellular organisms to developmentally regulate cell number or to eliminate cells that are potentially detrimental to the organism. The large diversity of regulators of apoptosis in mammalian cells and their numerous interactions complicate the analysis of their individual functions, particularly in development. The remarkable conservation of apoptotic mechanisms across species has allowed the genetic pathways of apoptosis determined in lower species, such as the nematode Caenorhabditis elegans and the fruitfly Drosophila melanogaster, to act as models for understanding the biology of apoptosis in mammalian cells. Though many components of the apoptotic pathway are conserved between species, the use of additional model organisms has revealed several important differences and supports the use of model organisms in deciphering complex biological processes such as apoptosis.

A Dynamic Systems Approach to Personality

2001 ◽  
Vol 6 (3) ◽  
pp. 172-176 ◽  
Author(s):  
Lawrence A. Pervin
Keyword(s):  
Dynamic Systems ◽  
Systems Approach ◽  
Biological Processes ◽  
Recent Advances ◽  
Dynamic View ◽  
The Future ◽  
History Of

David Magnusson has been the most articulate spokesperson for a holistic, systems approach to personality. This paper considers three concepts relevant to a dynamic systems approach to personality: dynamics, systems, and levels. Some of the history of a dynamic view is traced, leading to an emphasis on the need for stressing the interplay among goals. Concepts such as multidetermination, equipotentiality, and equifinality are shown to be important aspects of a systems approach. Finally, attention is drawn to the question of levels of description, analysis, and explanation in a theory of personality. The importance of the issue is emphasized in relation to recent advances in our understanding of biological processes. Integrating such advances into a theory of personality while avoiding the danger of reductionism is a challenge for the future.

Mechanisms of Signaling through Urokinase Receptor and the Cellular Response

1999 ◽  
Vol 82 (08) ◽  
pp. 305-311 ◽  
Author(s):  
Yuri Koshelnick ◽  
Monika Ehart ◽  
Hannes Stockinger ◽  
Bernd Binder
Keyword(s):  
Cell Surface ◽  
Proteolytic Activity ◽  
Tumor Invasion ◽  
Cellular Response ◽  
Transmembrane Protein ◽  
Urokinase Receptor ◽  
Biological Processes ◽  
In Vivo Models ◽  
Proteolytic Activation ◽  
Core Proteins

IntroductionThe urokinase-urokinase receptor (u-PA-u-PAR) system seems to play a crucial role in a number of biological processes, including local fibrinolysis, tumor invasion, angiogenesis, neointima and atherosclerotic plaque formation, inflammation, and matrix remodeling during wound healing and development.1-6 Binding of urokinase to its specific receptor provides cells with a localized proteolytic potential. It stimulates conversion of cell surface-bound plasminogen into active plasmin, which, in turn, is required for proteolytic degradation of basement membrane components, including fibronectin, collagen, laminin, and proteoglycan core proteins.7 Moreover, plasmin activates other matrix-degrading enzymes, such as matrix metalloproteinases.8 Overexpression of u-PA/u-PAR correlates with tumor invasion and metastasis formation,9-13 while reduction of cell-surface bound u-PA and inhibition of u-PAR expression leads to a significant decrease of invasive and metastatic activity.14 Specific antagonists that suppress binding of u-PA to u-PAR have been shown to inhibit cell-surface plasminogen activation, tumor growth, and angiogenesis both in vitro and in vivo models.15,16 Independently of its proteolytic activity, u-PA is implicated in many biological processes that seem to require u-PAR-mediated intracellular signal transduction, such as proliferation, chemotactic movement and adhesion, migration, and differentiation.17 Data obtained in the late 1980s indicated that u-PA not only provides cells with local proteolytic activity, but might also be capable of transducing signals to the cell.18-22 At that time, however, the u-PAR has just been isolated, cloned, and identified as a glycosylphosphatidylinositol (GPI)-linked protein and not a transmembrane protein. Signaling via the u-PAR was, therefore, regarded as being unlikely, and the effects of u-PA on cell proliferation18-22 were thought to be mediated by proteolytic activation of latent growth factors. The assumption of direct signaling via u-PAR was, in fact, considered controversial, until about 10 years later when a physical association between u-PAR and signaling proteins was found.23 From this report on, several proteins associated with u-PAR have been identified. Now, u-PAR seems to be part of a large “signalosome” associated and interacting with several proteins on both the outside and inside of the cell.

The Datalogical Drug Mule

2017 ◽  
Vol 3 (3) ◽  
pp. 9-29
Author(s):  
Juan Llamas-Rodriguez
Keyword(s):  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Data Driven ◽  
Biological Processes ◽  
Cultural Narratives ◽  
Government Documents ◽  
Human Labor ◽  
Information And Communication ◽  
Data Capturing ◽  
Legal Structures

Borders and bodies are increasingly regulated by data-capturing mechanisms spread across the world through information and communication technologies. This article traces the features and implications of such a border-body datalogical entanglement through the figure of the drug mule. It analyzes government documents and recorded case studies to argue that this figure emerges from an assemblage of cultural narratives, legal structures, human labor, technical practices, and biological processes. The datalogical drug mule is already implicated in a struggle over what, and how, data is meaningful and actionable. Investigating this figure allows us to begin disentangling the data-driven mechanisms that constitute modern borders and bodies while at the same time accounting for analog continuities in contemporary practices of border security.

Electrical Capacitance Volume Tomography (ECVT) for industrial and medical applications-An Overview

2015 ◽  
Vol 11 (1) ◽  
pp. 2897-2908
Author(s):  
Mohammed S.Aljohani
Keyword(s):  
Imaging Technique ◽  
Three Dimensional ◽  
Biological Processes ◽  
Electrical Capacitance ◽  
Image Reconstruction Techniques ◽  
Phase Dynamics ◽  
Non Invasive ◽  
Electrical Capacitance Volume Tomography ◽  
And Performance ◽  
Optimization And Performance

Tomography is a non-invasive, non-intrusive imaging technique allowing the visualization of phase dynamics in industrial and biological processes. This article reviews progress in Electrical Capacitance Volume Tomography (ECVT). ECVT is a direct 3D visualizing technique, unlike three-dimensional imaging, which is based on stacking 2D images to obtain an interpolated 3D image. ECVT has recently matured for real time, non-invasive 3-D monitoring of processes involving materials with strong contrast in dielectric permittivity. In this article, ECVT sensor design, optimization and performance of various sensors seen in literature are summarized. Qualitative Analysis of ECVT image reconstruction techniques has also been presented.

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