Results 131 to 140 of about 2,255 (170)
The recognition and assessment of pain in people with profound intellectual disabilities by nurses: An appreciative inquiry. [PDF]
Goodall M, Irving K, Nevin M.
europepmc +1 more source
Enhanced solute transport and steady mechanical stimulation in a novel dynamic perifusion bioreactor increase the efficiency of the in vitro culture of ovarian cortical tissue strips. [PDF]
Fragomeni G +11 more
europepmc +1 more source
Adverse Effects of Pesticides on the Ovary: Evidence from Epidemiological and Toxicological Studies. [PDF]
Wang L, Ma X, Liu J.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A Study of Seismic Noise Level at the KNET Stations
Journal of Volcanology and Seismology, 2020We estimated the level of seismic noise for stations of the KyrgyzNetwork (KNET) for 19 years of its operation (1999–2017) in real time. For each channel of a seismic station (east–west, north–south, vertical) we selected fifteen-minute segments of 100-Hz seismic noise distributed over all seasons of the year (March, June, September, and December) and ...
N A Sycheva
exaly +2 more sources
The stress state of the northern Tien Shan crust based on the KNET seismic network data
Russian Geology and Geophysics, 2016Abstract In this study we present a detailed analysis of natural stresses in the Northern Tien Shan crust averaged in a window of 10–15 km obtained from seismological data of the local KNET network. The transformation of focal mechanism data into the parameters of the stress tensor was based on the method of cataclastic analysis of ...
Yu L Rebetsky, N A Sycheva
exaly +5 more sources
ACM Transactions on Information Systems, 2015
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. Most recent efforts have proposed several efficient methods to learn word embeddings from context such that they can encode both semantic ...
Qing Cui, Hanjun Dai, Tie-Yan Liu
exaly +2 more sources
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. Most recent efforts have proposed several efficient methods to learn word embeddings from context such that they can encode both semantic ...
Qing Cui, Hanjun Dai, Tie-Yan Liu
exaly +2 more sources
KNET: Integrating Hypermedia and Normative Bayesian Modeling
Machine Intelligence and Pattern Recognition, 1990Abstract KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks. Such networks serve as graphical representations for decision models, in which the knowledge engineer must define clearly the alternatives, states, preferences, and relationships that constitute a decision basis.
Gregory F Cooper
exaly +2 more sources
Vestnik NÂC RK, 2020
A comparative analysis of the KNET waveforms of underground nuclear explosions conducted at regional distances at the Lop Nor test site (China) in 1992–1996, as well as tectonic earthquakes with epicenters in the same area, was carried out for the purposes of seismic discrimination.
A. V. Beryozina +3 more
exaly +2 more sources
A comparative analysis of the KNET waveforms of underground nuclear explosions conducted at regional distances at the Lop Nor test site (China) in 1992–1996, as well as tectonic earthquakes with epicenters in the same area, was carried out for the purposes of seismic discrimination.
A. V. Beryozina +3 more
exaly +2 more sources
2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2022
Shun Zou, Feifan Liao
exaly +2 more sources
Shun Zou, Feifan Liao
exaly +2 more sources

