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Alaska's Kenai fisheries are managed for maximum efficiency while ensuring fair allocation across multiple stakeholder groups and long term sustainability of the fishery. Managers must work to meet the fishery's goals while adapting their commercial and subsistence eco-service management practices to meet changing ecological conditions. Pre- and in-season fishery management practices are supported...
Genes that share transcription factors are biologically driven to show a more likely measurable correlation in their gene expression. No modern method of visualization displays these intricate co-expression and correlation patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression...
Analysis of spatio-temporal data is a common research topic that requires the interpolations of unknown locations and the predictions of feature observations by utilizing information about where and when the data were observed. One of the most difficult problems is to make predictions of unknown locations. Tensor factorization methods are popular in this field because of their capability of handling...
Big data analysis has been pervasively adopted as a method to analyze the tremendous amount of daily generated high throughput data in an efficient and accurate manner. Among the series of tools available in the field of big biomedical data, correlation networks are one of the most powerful tools for modelling gene expression, which is important in the study of disease and ageing. With the help of...
With the recent advances in sequencing technology, researchers now have opportunities to study microbiomes associated with various environments. Recent studies have shown that the composition of microbiomes in our bodies and our environments play a significant role in our health. For example, 90% of human DNA is composed of bacterial microbiomes. In this study, we propose a systems biology approach...
In this paper, we introduce the diversity of extortion by setting individuals' extortion capacities related to their degrees and study the evolution of cooperation on the heterogeneous BA scale-free network with the normalized payoff mechanism. We find that when individuals' extortion factors are negatively correlation with their degrees, extortioners can act as catalysts to make cooperation dominate...
In the study of complex networks, identifying important nodes in propagation contributes a lot to the control of diffusion. Since real-world networks are often closely interacted, it seems promising to generalize the ranking algorithms of nodes to multi-layer networks. In this paper, the iterative resource allocation method is extended to interconnected networks for the identification of influential...
This study, part of an ongoing global study, aims to advance information society research and practice by examining and understanding the information and communication technologies (ICT) adoption in enterprises in the context of the sustainable information society (SIS). In this study, the ICT adoption is described by four components. i.e. outlay on ICT, information culture, ICT management, and ICT...
The existing methods for monitoring of technological processes are analyzed by means of software and hardware. Theoretical foundations of the proposed method of control over the parameters of quasi-stationary technological process are substantiated. Software interaction between the operator and intellectual sensor information system with a deep level of parallelization of computational processes is...
Sorafenib is the only clinically approved drug for hepatocellular carcinoma (HCC), but its response rate is relatively poor. Recently, it has been shown that tissue hypoxia and perfusion have predictive correlation with HCC response to sorafenib treatment. In this study, we investigate the correlation of photoacoustic-ultrasonic (PAUS) imaging biomarkers for oxygen saturation (SO2) and perfusion to...
Educational environments are different in each country, though the subjects are almost the same: students, families, teachers, schools, school systems, government supervision — ministry. The system parameters' relationships are determined using similar factors: the overall economic situation, the organization of the education system, the financial support of the state, and others. But still, the effectiveness...
We performed large scale classical molecular dynamics simulations (MDS) of a solvated microtubule (MT) composed of 42 tubulin heterodimers to examine vibrational energy absorption and dissipation mechanisms, and to describe the expected behavior of the MT following terahertz (THz) excitation. We computed MT absorption spectra and vibrational density of states in the THz regime, and performed an analysis...
Public safety has been discussed for many years, but how to use and understand crime data is still difficult. Limitations of previous research were mainly restricted by technology. The significant technological advance since last century provided a tool for researchers to compute large amount of data and complicate models while shrinking process time too. This research tried to combine results from...
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt stacked hourglass networks to generate attention maps from features at multiple resolutions with various semantics. The Conditional Random Field (CRF) is utilized to model the correlations among neighboring regions in the attention...
As conventional tools for assessing and improving the ability of older adults to perform functional tasks that entail executive functions (EF) are limited, there is a need to identify alternate approaches including the use of simulated environments. The objectives of this study were (1) to investigate differences in EF in older and young adults as determined by their performance on the Adapted Four-Item...
This paper aims at the comparison of the network power for Pearson-Hamming networks built using the chi-squared functional set, and Bayes-Hamming networks built using the hyperbolic functional set. To configure these networks a correlation matrix of biometric data is calculated. At the nest step the data are sorted. Low-correlated data are converted with Pearson-Hamming networks, high-correlated data...
Online Social Networks (OSNs) are widely utilized in viral marketing campaigns exploiting the word-of-mouth effect. Various propagation models have been proposed to describe the way cascades unfold in OSNs. Based on the existing propagation models, several studies address the problem of influence maximization, where the objective is to identify an appropriate subset of users to initiate the spread...
Statistical craniofacial reconstruction methods have become an important research aspect in computer-aided craniofacial reconstruction. The existing joint statistical craniofacial reconstruction method based on PCA modeling is not scientific in terms of forensic anthropology, and its description ability for the shape correlation of skull and face is inadequate. So, partial least squares regression...
This paper discusses the application of five t-GARCH models to the problem of accurately modeling three univariate but mutually dependent wind speed series taken from three US metering sites distant few kilometers from each other. Besides a benchmark model consisting of three independent univariate t-GARCH models, a t-CCC, a t-DCC, a t-copula/t-CCC and a t-copula/t-DCC model will be estimated, studied...
Analog computational circuits have been demonstrated to provide substantial improvements in power and speed relative to digital circuits, especially for applications requiring extreme parallelism but only modest precision. Deep machine learning is one such area and stands to benefit greatly from analog and mixed-signal implementations. However, even at modest precisions, offsets and non-linearity...
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