Results 91 to 100 of about 6,363,735 (307)

Appendix A. Aboveground net primary productivity for each species within each shrub community and their corresponding k values.

open access: yes, 2016
Aboveground net primary productivity for each species within each shrub community and their corresponding k ...
Michelle C. Mack (728491)   +2 more
core   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

Comparison of net primary productivity (NPP) computed by the CASA and BIOME-BGC models from 2001 to 2013.

open access: yes, 2018
Comparison of net primary productivity (NPP) computed by the CASA and BIOME-BGC models from 2001 to 2013.
Huali Song (4849885)   +4 more
core   +1 more source

Image_2_Human Appropriated Net Primary Productivity of Complex Mosaic Landscapes.TIFF

open access: yes, 2020
Quantifying human impact on the environment is increasingly important and particularly so in complex mosaic landscapes. Such landscapes are prolific in the developing world, notably in West African, small holder cocoa farming communities.
Stephen Adu-Bredu (4347064)   +5 more
core   +1 more source

Inverse Design of Nanoparticulate Materials

open access: yesAdvanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré   +5 more
wiley   +1 more source

Principal component analysis of edaphic variables and components of net primary productivity in two pluvial tropical forests of Chocó, Colombia.

open access: yes, 2017
Principal component analysis of edaphic variables and components of net primary productivity in two pluvial tropical forests of Chocó, Colombia.
Flavio Moreno (3692560)   +1 more
core   +1 more source

Near‐Infrared Imaging of H2O2 in Plants With Nanosensors Under Environmentally Changing Conditions

open access: yesAdvanced Materials, EarlyView.
This paper reports a ratiometric nanosensor enabling robust, multivariate detection of stress signals (H2O2) in plants, with high resistance to light fluctuations and mechanical disturbances. Single‐walled carbon nanotubes serve as the sensor, Egyptian Blue nanosheets serve as a stable reference, and plant autofluorescence serves as a label‐free ...
Jiaqi Li   +8 more
wiley   +1 more source

Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types

open access: yesRemote Sensing, 2019
Understanding and monitoring the dynamics of rangeland heterogeneity through time and across space is critical for the effective management and conservation of rangeland systems and the sustained supply of the ecosystem goods and services they provide ...
Nathaniel P. Robinson   +5 more
doaj   +1 more source

Data_Sheet_1_Human Appropriated Net Primary Productivity of Complex Mosaic Landscapes.docx

open access: yes, 2020
Quantifying human impact on the environment is increasingly important and particularly so in complex mosaic landscapes. Such landscapes are prolific in the developing world, notably in West African, small holder cocoa farming communities.
Stephen Adu-Bredu (4347064)   +5 more
core   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

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