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Kayhan Erciyes
Biological networks such as protein interaction networks, gene regulation networks, and metabolic pathways are examples of complex networks that are large graphs with small-world and scale-free properties. An analysis of these networks has a profound eff...
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Zhaoxin Yue, Bing Yan, Huaizhi Liu and Zhe Chen
Underwater creatures play a vital role in maintaining the delicate balance of the ocean ecosystem. In recent years, machine learning methods have been developed to identify underwater biologicals in the complex underwater environment. However, the scarci...
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Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil and Nick Gamez
Modeling of physical processes as partial differential equations (PDEs) is often carried out with computationally expensive numerical solvers. A common, and important, process to model is that of laser interaction with biological tissues. Physics-informe...
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Bei Liu, Xian Zhang, Xiao Zou, Jing Cao and Ziqi Peng
Biological tissue damage monitoring is an indispensable part of high-intensity focused ultrasound (HIFU) treatment. As a nonlinear method, multi-scale permutation entropy (MPE) is widely used in the monitoring of biological tissue. However, the tradition...
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Vidya Manian, Harshini Gangapuram, Jairo Orozco, Heeralal Janwa and Carlos Agrinsoni
Spaceflight microgravity affects normal plant growth in several ways. The transcriptional dataset of the plant model organism Arabidopsis thaliana grown in the international space station is mined using graph-theoretic network analysis approaches to iden...
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Liu Zhu, Hongyan Zhang, Dan Cao, Yalan Xu, Lanzhi Li, Zilan Ning and Lei Zhu
Drought stress-related gene identification is vital in revealing the drought resistance mechanisms underlying rice and for cultivating rice-resistant varieties. Traditional methods, such as Genome-Wide Association Studies (GWAS), usually identify hundred...
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Lekshmi S. Nair, Swaminathan Jayaraman and Sai Pavan Krishna Nagam
Link prediction finds the future or the missing links in a social?biological complex network such as a friendship network, citation network, or protein network. Current methods to link prediction follow the network properties, such as the node?s centrali...
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Robert Kleijnen, Markus Robens, Michael Schiek and Stefan van Waasen
Accelerated simulations of biological neural networks are in demand to discover the principals of biological learning. Novel many-core simulation platforms, e.g., SpiNNaker, BrainScaleS and Neurogrid, allow one to study neuron behavior in the brain at an...
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Sasan Adibi
This paper presents the mHealth Predictive Outbreak for COVID-19 (mPOC) framework, an autonomous platform based on wearable Internet of Medical Things (IoMT) devices for outbreak prediction and monitoring. It utilizes real-time physiological and environm...
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Rocco A. Scollo, Antonio G. Spampinato, Georgia Fargetta, Vincenzo Cutello and Mario Pavone
Disease phenotypes are generally caused by the failure of gene modules which often have similar biological roles. Through the study of biological networks, it is possible to identify the intrinsic structure of molecular interactions in order to identify ...
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Virgaudas Puodziukas, Ausra Svarpliene, Aivaras Braga
Pág. 965 - 972
In the first decade of XXI century, considerable changes took place in the world and in Lithuania, and together with a 20-year experience of road development and maintenance in independent Lithuania, they force to re-assess the attitude towards roads, th...
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Jun Feng, Zhenting Li, Shizhen Zhang, Chun Bao, Jingxian Fang, Yun Yin, Bolei Chen, Lei Pan, Bing Wang and Yu Zheng
When plants encounter external environmental stimuli, they can adapt to environmental changes through a complex network of metabolism?gene expression?metabolism within the plant cell. In this process, changes in the characteristics of plant cells are a p...
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Marin Ordulj, Danijela ?antic, Frano Matic, Slaven Jozic, Stefanija ?estanovic, Mladen ?olic, Jere Ve?a and ?ivana Nincevic Gladan
Artificial neural network analysis (ANN) is used to study the seasonal distribution of viruses and microbial food web (MFW) components in the open Adriatic Sea. The effect of viruses within the MFW is often overlooked, although viruses play an important ...
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Zheng Liu, Yaoming Zhuang, Pengrun Jia, Chengdong Wu, Hongli Xu and Zhanlin Liu
For aquaculture resource evaluation and ecological environment monitoring, the automatic detection and identification of marine organisms is critical; however, due to the low quality of underwater images and the characteristics of underwater biological d...
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Serafino Cicerone and Gabriele Di Stefano
The mixture of data in real life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their r...
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Said Lakhal,Zouhair Guennoun
Pág. 107 - 112
The Wireless Body Area Network (WBAN) contains a set of sensors, placed in the patient?s environment, to detect the vital signs and transmit the results towards the relevant services that interact in urgent cases. The present work exposes&...
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Bruno Carpentieri
The increase in memory and in network traffic used and caused by new sequenced biological data has recently deeply grown. Genomic projects such as HapMap and 1000 Genomes have contributed to the very large rise of databases and network traffic related to...
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Haifeng Li, Zuoqin Shi, Li Chen, Zhenqi Cui, Sumin Li and Ling Zhao
The cultural meme is the smallest unit constituting a dynasty's culture, which has the same inheritance and variability as biological genes. Here, based on the name of cultural relics, we extract cultural memes through semantic word segmentation, word fr...
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Tekin Evrim Ozmermer
Pág. 44 - 57
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinus...
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James Buckman and Sean Higgins
Sandstones and many carbonates (e.g., oolitic limestone and other grainstones), comprise solid particulates (grains) and pores, which have a given pore network architecture relationship, and associated porosity?permeability values. Over time, through the...
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