Bioenergetic Habitat Suitability Curves for Instream Flow Modeling: Introducing User‐Friendly Software and its Potential Applications

Fisheries ◽  
2020 ◽  
Vol 45 (11) ◽  
pp. 605-613
Author(s):  
Sean M. Naman ◽  
Jordan S. Rosenfeld ◽  
Jason R. Neuswanger ◽  
Eva C. Enders ◽  
John W. Hayes ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Flow Modeling ◽  
Instream Flow ◽  
Potential Applications ◽  
User Friendly

A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment

2006 ◽  
Vol 22 (5) ◽  
pp. 503-523 ◽  
Author(s):  
Behrouz Ahmadi-Nedushan ◽  
André St-Hilaire ◽  
Michel Bérubé ◽  
Élaine Robichaud ◽  
Nathalie Thiémonge ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Habitat Suitability ◽  
Aquatic Habitat ◽  
Instream Flow

scholarly journals Stk: An Extendable Python Framework for Automated Molecular and Supramolecular Structure Assembly and Discovery

2021 ◽  
Author(s):  
Lukas Turcani ◽  
Andrew Tarzia ◽  
Filip Szczypiński ◽  
Kim Jelfs
Keyword(s):  
Chemical Space ◽  
General Structure ◽  
Molecular Structures ◽  
Structure Generation ◽  
Supramolecular Materials ◽  
Existing Structures ◽  
Potential Applications ◽  
Speed Up ◽  
User Friendly ◽  
Structure Assembly

<div>Computational software workflows are emerging as all-in-one solutions to speed up the discovery of new materials.</div><div>Many computational approaches require the generation of realistic structural models for property prediction and candidate screening. However, molecular and supramolecular materials represent classes of materials with many potential applications for which there is no go-to database of existing structures or general protocol for generating structures. Here, we report a new version of the supramolecular toolkit, <i>stk</i>, an open-source, extendable and modular Python framework for general structure generation of (supra)molecular structures. Our construction approach follows a bottom-up process and minimises the input required from the user, making <i>stk</i> user-friendly and applicable to many material classes. This version of <i>stk</i> includes metal-containing structures and rotaxanes as well as general implementation and interface improvements. Additionally, this version includes built-in tools for exploring chemical space with an evolutionary algorithm and tools for database generation and visualisation. The latest version of <i>stk</i> is freely available at github.com/lukasturcani/stk</div>

Bone Remodeling Simulation Using Abaqus Subroutine USDFLD

2010 ◽  
Author(s):  
Xiangyi Cheryl Liu ◽  
Sekar Govindarajan ◽  
Subham Sett
Keyword(s):  
Bone Remodeling ◽  
Orthopedic Implants ◽  
Element Analysis ◽  
Adaptive Process ◽  
Potential Applications ◽  
Bone Remodeling Simulation ◽  
User Friendly ◽  
Bone Tissue Remodeling ◽  
Replacement Design

Numerical simulation of the adaptive process of bone tissue remodeling can be a useful tool for implant designers, analysts or physicians to achieve long term success of orthopedic implants. While several remodeling theories have been proposed for finite element analysis (FEA), their implementation often requires considerable expertise and can be time consuming. One of the leading bone remodeling algorithms is implemented with Abaqus non-linear FEA in a user-friendly manner, and its potential applications in total hip replacement design are demonstrated in this paper.

scholarly journals DarkCideS  1.0, a global database for  bats in karsts and caves

2021 ◽  
Author(s):  
Krizler C. Tanalgo ◽  
John Aries G. Tabora ◽  
Hernani Fernandes Magalhães Oliveira ◽  
Danny Haelewaters ◽  
Chad T. Beranek ◽  
...  
Keyword(s):  
Life Histories ◽  
Ecological Status ◽  
Species Traits ◽  
Population Declines ◽  
Global Database ◽  
Potential Applications ◽  
Cave Ecosystems ◽  
Taxonomic Groups ◽  
User Friendly ◽  
Terrestrial Biomes

Understanding biodiversity patterns as well as drivers of population declines, and range losses provides crucial baselines for monitoring and conservation. However, the information needed to evaluate such trends remains unstandardised and sparsely available for many taxonomic groups and habitats, including the cave-dwelling bats and cave ecosystems. Here, we present the DarkCideS 1.0, a global database of bat caves and bat species based on curated data from the literature, personal collections, and existing datasets. The database contains information for geographical distribution, ecological status, species traits, and parasites and hyperparasites for 679 bat species known to occur in caves or use caves in their life-histories. The database contains 6746 georeferenced occurrences for 402 cave-dwelling bat species from 2002 cave sites in 46 countries and 12 terrestrial biomes. The database has been developed to be a collaborative, open-access, and user-friendly platform, allowing continuous data-sharing among the community of bat researchers and conservation biologists. The database has a range of potential applications in bat research and enables comparative monitoring and prioritisation for conservation.

A Review of Artificial Intelligence Technologies to Achieve Machining Objectives

2019 ◽  
pp. 138-159 ◽  
Author(s):  
Deivanathan R.
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Optimization Techniques ◽  
Computer Integrated Manufacturing ◽  
Potential Applications ◽  
Continuous Interaction ◽  
User Friendly

Bridging the design, planning and manufacturing departments of a production enterprise is not a conclusive effort for the implementation of computer integrated manufacturing. Continuous interaction and seamless exchange of information among these functions is needed and requires the maintenance of a large database and user-friendly search and optimization techniques. Among several artificial intelligence techniques capable of the above task, four important and popular ones are, expert systems, artificial neural networks, fuzzy logic and genetic algorithms. In this chapter, these four techniques have been conceptually studied in detail and exemplified by reviewing an application in the manufacturing domain. Successful implementations of artificial intelligence that are recently reported in machining domain are also reviewed, suggesting potential applications in the future.

scholarly journals Recent Advances and Challenges in the Development of Radiofrequency HTS Coil for MRI

2021 ◽  
Vol 9 ◽  
Author(s):  
Aimé Labbé ◽  
Gilles Authelet ◽  
Bertrand Baudouy ◽  
Cornelis J. van der Beek ◽  
Javier Briatico ◽  
...  
Keyword(s):  
Low Noise ◽  
Electric Response ◽  
Field Coupling ◽  
Potential Applications ◽  
Anomalous Skin Effect ◽  
Bio Imaging ◽  
Imaging Artifacts ◽  
Magnetic Resonance Imaging Mri ◽  
User Friendly ◽  
Copper Coil

Radiofrequency (RF) coils fashioned from high-temperature superconductor (HTS) have the potential to increase the sensitivity of the magnetic resonance imaging (MRI) experiment by more than a dozen times compared to conventional copper coils. Progress, however, has been slow due to a series of technological hurdles. In this article, we present the developments that recently led to new perspectives for HTS coil in MRI, and challenges that still need to be solved. First, we recall the motivations for the implementations of HTS coils in MRI by presenting the limits of cooled copper coil technology, such as the anomalous skin effect limiting the decrease of the electric resistance of normal conductors at low temperature. Then, we address the progress made in the development of MRI compatible cryostats. New commercially available low-noise pulsed-tube cryocoolers and new materials removed the need for liquid nitrogen-based systems, allowing the design of cryogen-free and more user-friendly cryostats. Another recent advance was the understanding of how to mitigate the imaging artifacts induced by HTS diamagnetism through field cooling or temperature control of the HTS coil. Furthermore, artifacts can also originate from the RF field coupling between the transmission coil and the HTS reception coil. Here, we present the results of an experiment implementing a decoupling strategy exploiting nonlinearities in the electric response of HTS materials. Finally, we discuss the potential applications of HTS coils in bio-imaging and its prospects for further improvements. These include making the technology more user-friendly, implementing the HTS coils as coil arrays, and proposing solutions for the ongoing issue of decoupling. HTS coil still faces several challenges ahead, but the significant increase in sensitivity it offers lends it the prospect of being ultimately disruptive.

Computational Motor Control and Human Factors: Modeling Movements in Real and Possible Environments

2003 ◽  
Vol 45 (1) ◽  
pp. 5-27 ◽  
Author(s):  
Steven A. Jax ◽  
David A. Rosenbaum ◽  
Jonathan Vaughan ◽  
Ruud G. J. Meulenbroek
Keyword(s):  
Motor Control ◽  
Human Factors ◽  
Task Demands ◽  
Current State ◽  
Control Research ◽  
Recent Developments ◽  
Potential Applications ◽  
User Friendly ◽  
Human Factors Modeling ◽  
Human Factors Research

An aim of human factors research is to have models that allow for the advance design of user-friendly environments. This is still a distant dream because existing models are not yet sufficiently sophisticated. Models in the domain of motor control are a case in point, but recent developments in computational motor control suggest that the gap between the current state of modeling in this area and the desired state is shrinking. To illustrate this point, we review principles of motor control research that any model of motor control must accommodate. Then we describe a model that captures many of the capacities of actors in the everyday world, including the capacity to reach for objects in different ways depending on factors such as the ease with which different joints can rotate, the required speed of movement, and whether obstacles are present. The model relies on the ideas that goal postures are internally specified before movements are generated, that tasks are defined with flexibly ordered constraint hierarchies, and that movements can be shaped according to task demands. Actual or potential applications of this research include designing and testing possible environments where motor components play a key role.

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