At the Bishkek geodynamic test area in the Northern Tien Shan, complex electromagnetic monitoring was conducted, including a wide frequency range by magnetotelluric sounding in various modifications and induction sounding with a controlled impulse source
E. A. Bataleva, V. A. Mukhamadeeva
doaj +1 more source
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation [PDF]
We present a novel family of deep neural architectures, named partially exchangeable networks (PENs) that leverage probabilistic symmetries. By design, PENs are invariant to block-switch transformations, which characterize the partial exchangeability ...
Frellsen, Jes +3 more
core +2 more sources
Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data [PDF]
Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution.
Behr, Yannik +2 more
core +2 more sources
KNET: A Multitask Deep Neural Net Kinase Activity Profiler
Deep learning (DL) is a powerful machine learning technology based on multi-layer (deep) neural networks that has shown impressive success across a wide range of domains, including, recently, in drug discovery, utilizing structural features of small molecules to predict biological activity. Utilizing Python and the Celery, Flask, and DeepChem libraries
Turner, John +2 more
openaire +1 more source
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge
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
Co-designing transformation research:lessons learned from research on deliberate practices for transformation [PDF]
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
Experimental Detection of Sign-Reversal Pairing in Iron-Based Superconductors
We propose a modified Josephson corner-junction experiment which can test whether the order parameter in the iron pnictides changes sign between the electron and hole pockets of the Fermi surface.Comment: 2 pages, 2 figures; After this paper was ...
Phillips, Philip, Wu, Jiansheng
core +1 more source
Seismotectonic study of the Fergana region (Southern Kyrgyzstan): distribution and kinematics of local seismicity [PDF]
We present new seismicity and focal-mechanism data for the Fergana basin and surrounding mountain belts in western Kyrgyzstan from a temporary local seismic network.
Abdybachaev, U. +8 more
core +2 more sources
Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects [PDF]
Finite mixture models are routinely applied to time course microarray data. Due to the complexity and size of this type of data the choice of good starting values plays an important role.
Bar-Joseph +24 more
core +1 more source
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability.
N. Sashi Prabha, N. Rama Rao
doaj +1 more source

