Results 41 to 50 of about 2,218 (164)

Influence of station topography and Moho depth on the mislocation vectors for the Kyrgyz Broadband Seismic Network (KNET) [PDF]

open access: yesGeophysical Journal International, 2013
Deviations of slowness and backazimuth from theoretically calculated values, the so-called mislocation vectors, are measured for the Kyrgyz Broadband Seismic Network (KNET) in the Tien Shan region. 870 events have been analysed for arrivals of P and PKP waves from all azimuths.
Erdmann Jacobeit   +2 more
openaire   +1 more source

ICTD for Healthcare in Ghana: Two Parallel Case Studies

open access: yes, 2009
This paper examines two parallel case studies to promote remote medical consultation in Ghana. These projects, initiated independently by different researchers in different organizations, both deployed ICT solutions in the same medical community in the ...
Aoki, Paul M.   +4 more
core   +2 more sources

Quantification of Degradation Rate Constants in Aquifer Materials Using Carbon‐14 Chlorinated Ethenes

open access: yesGroundwater Monitoring &Remediation, Volume 45, Issue 4, Page 101-112, Fall 2025.
Abstract Among the most challenging sites to remediate are those where the groundwater is contaminated with large, dilute plumes of tetrachloroethene (PCE), trichloroethene (TCE), cis‐1,2‐dichloroethene (cDCE), and vinyl chloride (VC). Monitored natural attenuation (MNA) may be a viable strategy, but relevant mechanisms such as abiotic degradation can ...
David L. Freedman   +3 more
wiley   +1 more source

Analysis of seismic noise level at high-mountain stations of the KNET network

open access: yesIOP Conference Series: Earth and Environmental Science, 2019
Abstract In this work we estimate level of seismic noise at Kyrgyz Network’s (KNET) high-mountain stations for 19 years of the time this network operated in real-time mode (1999-2017). To do that for each channel (E – west-east, N – south-north and Z – vertical, all with 100 Hz sample rate) of each station we made fifteen-minute (900 ...
N A Sycheva, A N Mansurov
openaire   +1 more source

Co-designing transformation research:lessons learned from research on deliberate practices for transformation [PDF]

open access: yes, 2016
Co-production of new knowledge can enhance open and integrative research processes across the social and natural sciences and across research/science, practice and policy interrelationships.
Fazey, Ioan   +6 more
core   +3 more sources

Small strain shear modulus of saturated and unsaturated cohesive soils under anisotropic consolidation

open access: yesSoils and Foundations
Cohesive soils in nature are created under anisotropic stress and have various stress histories. Embankments generate greater vertical loads underground. Moreover, associated excavation activities can exacerbate the extensional stress state.
Ngoc Bao Le   +2 more
doaj   +1 more source

On the role of synaptic stochasticity in training low-precision neural networks [PDF]

open access: yes, 2018
Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes.
Baldassi, Carlo   +6 more
core   +5 more sources

In‐Stream Nitrogen Dynamics in a Point Source Influenced Headwater Stream During Baseflow Conditions

open access: yesWater Resources Research, Volume 60, Issue 9, September 2024.
Abstract Hydrochemical signatures are often traced back to their original sources using data collected at catchment outlets. However, this approach introduces uncertainties, as signals may add up, cancel each other out, or be subject to transformation processes. Specifically rural point sources, such as communal wastewater treatment plants (WWTPs), are
Caroline Spill   +2 more
wiley   +1 more source

SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching

open access: yesRemote Sensing
Due to the distant acquisition and bird’s-eye perspective of remote sensing images, ground objects are distributed in arbitrary scales and multiple orientations.
Keliang Liu   +4 more
doaj   +1 more source

KNET: A General Framework for Learning Word Embedding using Morphological Knowledge

open access: yes, 2014
Neural network techniques are widely applied to obtain high-quality distributed representations of words, i.e., word embeddings, to address text mining, information retrieval, and natural language processing tasks. Recently, efficient methods have been proposed to learn word embeddings from context that captures both semantic and syntactic ...
Cui, Qing   +4 more
openaire   +2 more sources

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