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IEEE Transactions on Nanobioscience

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https://www.readbyqxmd.com/read/28809706/cluster-synchronization-of-coupled-genetic-regulatory-networks-with-delays-via-aperiodically-adaptive-intermittent-control
#1
Zhi-Hong Guan, Dandan Yue, Bin Hu, Tao Li, Feng Liu
In this paper, we study the cluster synchronization of coupled genetic regulatory networks with time-varying delays via aperiodically adaptive intermittent control on some nodes. The network is intermittently coupled and the intra-cluster coupling strength is adaptively adjusted. The graph of the coupling topology of each cluster is only required to have a directed spanning tree. Two cases of delays are considered. In the first case, by using the switching Lyapunov-based function and Razumikhintype technique, the cluster synchronization criterion is presented which indicates that the cluster synchronization is realized via the aperiodically adaptive intermittent control...
August 10, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28796620/transport-of-liposome-encapsulated-drugs-in-voxelized-computational-model-of-human-brain-tumors
#2
A Bhandari, A Bansal, A Singh, N Sinha
There are many obstacles to transport of chemotherapeutic drugs to tumor cells that lead to irregular and non-uniform uptake of drugs inside tumors. Study of these transport problems will help in accurate prediction of drug transport and optimizing treatment strategy. To this end, liposome mediated drug delivery has emerged as an excellent anticancer therapy due to its ability to deliver drugs at site of action and reducing the chances of side effects to the healthy tissues. In this study, a computational fluid dynamics (CFD) model based on realistic vasculature of human brain tumor is presented...
August 7, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28792903/hydrocalumite-thin-films-for-polyphenol-biosensor-elaboration
#3
A Soussou, I Gammoudi, A Kalboussi, C Grauby-Heywang, T Cohen-Bouhacina, Z M Baccar
Hybrid thin films based on Hydrocalumite (Ca2AlCl layered double hydroxide LDH) and tyrosinase enzyme have been used for the elaboration of a high sensitive amperometric biosensor detecting polyphenols extracted from green tea. Structural properties of LDH nanomaterials were characterized by X-ray powder diffraction and Infra-Red spectroscopy, confirming its crystalline phase and chemical composition. Ca2AlCl-LDHs-thin films were deposited by spin-coating, and studied by Atomic Force Microscopy (AFM) to obtain information about the surface morphology of this host matrix before and after enzyme's immobilization...
August 7, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28792902/identification-of-the-uncertainty-structure-to-estimate-the-acoustic-release-of-chemotherapeutics-from-polymeric-micelles
#4
Ali Wadi, Mamoun Abdel-Hafez, Ghaleb A Husseini
This paper estimates the acoustic drug release from micelles after accurately identifying the underlying statistical noise characteristics in experimental data. The drug release is measured as a change in fluorescence as ultrasound is applied. First, the noise structure affecting the process dynamics and the measurement process is identified in terms of statistical covariance of the aforementioned quantities. Then, the identified covariance magnitudes are utilized to estimate the dynamics of drug release. The performance of different filters is investigated...
August 4, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28742046/a-fast-algorithm-for-analysis-of-molecular-communication-in-artificial-synapse
#5
Bilgesu A Bilgin, Ozgur B Akan
In this paper we analyse molecular communications (MC) in a proposed artificial synapse (AS), whose main difference from biological synapses (BSs) is that it is closed, i.e., transmitter molecules cannot diffuse out from AS. Such a setup has both advantages and disadvantages. Besides higher structural stability, being closed, AS never runs out of transmitters. Thus, MC in AS is disconnected from outer environment, which is very desirable for possible intra-body applications. On the other hand, clearance of transmitters from AS has to be achieved by transporter molecules on the presynaptic membrane of AS...
July 21, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28727556/effective-screening-and-classification-of-cervical-precancer-biopsy-imagery
#6
Jaidip Jagtap, Nishigandha Patil, Abdul K Parchur, Chayanika Pantola, Asha Agarwal, Kiran Pandey, Asima Pradhan
Microscope images of biopsy samples of cervical precancers conventionally discriminated by histopathology, the current "gold standard" for cancer detection, showed that their correlation properties are segregated into different classes. The correlation domains clearly indicate increasing cellular clustering in different grades of precancer compared to their normal counterparts. This trend indicates the probability of pixel distribution of the corresponding tissue images. Because the cell density is not uniform in the higher grades, the skewness (asymmetry of a distribution), kurtosis (sharpness of a distribution), entropy (randomness), and standard deviation are affected...
July 18, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28715334/exploring-the-feasibility-of-a-dna-computer-design-of-an-alu-using-sticker-based-dna-model
#7
Mayukh Sarkar, Prasun Ghosal, Saraju P Mohanty
Since its inception, DNA computing has advanced to offer an extremely powerful, energy-efficient emerging technology for solving hard computational problems with its inherent massive parallelism and extremely high data density. This would be much more powerful and general purpose when combined with other existing well known algorithmic solutions that exist for conventional computing architectures using a suitable ALU. Thus, a specifically designed DNA ALU that can address operations suitable for both domains can mitigate the gap between these two...
July 13, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28708564/improved-statistical-fault-detection-technique-and-application-to-biological-phenomena-modeled-by-s-systems
#8
Majdi Mansouri, Mohamed Nounou, Hazem Nounou
In our previous work [1], we have demonstrated the effectiveness of the linear multiscale PCA-based moving window (MW)- generalized likelihood ratio test (GLRT) technique over the classical PCA and MSPCA-based GLRT methods. The developed fault detection algorithm provided optimal properties by maximizing the detection probability for a particular false alarm rate with different values of windows, however, most real systems are nonlinear, which make the linear PCA method not able to tackle the issue of nonlinearity to a great extent...
July 12, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28708563/evolving-spatial-clusters-of-genomic-regions-from-high-throughput-chromatin-conformation-capture-data
#9
Xiangtao Li, Shijing Ma, Ka-Chun Wong
High-throughput chromosome-conformation-capture (Hi-C) methods have revealed a multitude of structural insights into interphase chromosomes. In this paper, we elucidate the spatial clusters of genomic regions from Hi-C contact maps by formulating the underlying problem as a global optimization problem. Given its nonconvex objective and nonnegativity constraints, we implement several evolutionary algorithms and compare their performance with non-negative matrix factorization, revealing novel insights into the problem...
July 11, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28692983/robust-principal-component-analysis-regularized-by-truncated-nuclear-norm-for-identifying-differentially-expressed-genes
#10
Ya-Xuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Hai-Jun Li
Identifying differentially expressed genes from thousands of genes is a challenging task. Robust Principal Component Analysis (RPCA) is an efficient method in the identification of differentially expressed genes. RPCA method uses nuclear norm to approximate the rank function. However, theoretical studies showed that the nuclear norm minimizes all singular values, so it may not be the best solution to approximate the rank function. The truncated nuclear norm is defined as the sum of some smaller singular values, which may achieve a better approximation of the rank function than nuclear norm...
July 4, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28692982/multi-dielectric-brownian-dynamics-and-design-space-exploration-studies-of-permeation-in-ion-channels
#11
May Siksik, Vikram Krishnamurthy
This paper proposes a multi-dielectric Brownian Dynamics (BD) simulation framework for Design-Space-Exploration (DSE) studies of ion-channel permeation. The goal of such DSE studies is to estimate the channel modeling-parameters that minimize the mean-squared-error between the simulated and expected "permeation characteristics". To address this computational challenge, we use a methodology based on statistical inference that utilizes knowledge of channel structure to prune the design space. We demonstrate the proposed framework and DSE methodology using a case study based on the KcsA ion channel in which the design space is successfully reduced from a 6-dimensional space to a 2-dimensional space...
July 4, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28682262/cell-like-spiking-neural-p-systems-with-request-rules
#12
Linqiang Pan, Tingfang Wu, Yansen Su, Athanasios V Vasilakos
Cell-like spiking neural P systems (in short, cSN P systems) are a class of distributed and parallel computation models inspired by both the way in which neurons process information and communicate to each other by means of spikes and the compartmentalized structures of living cells. cSNP systems have been proved to be Turing universal if more spikes can be produced by consuming some spikes or spikes can be replicated. In this work, in order to answer the open problem whether this functioning of producing more spikes and replicating spikes can be avoided by using some strategy without the loss of computation power, we introduce cSN P systems with request rules, which have classical spiking rules and forgetting rules, and also request rules in the skin membrane...
July 3, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28650820/terahertz-channel-model-and-link-budget-analysis-for-intrabody-nanoscale-communication
#13
Hadeel Elayan, Raed M Shubair, Josep M Jornet, Pedram Johari
Nanosized devices operating inside the human body open up new prospects in the healthcare domain. In vivo wireless nanosensor networks (iWNSNs) will result in a plethora of applications ranging from intrabody health-monitoring to drug- delivery systems. With the development of miniature plasmonic signal sources, antennas and detectors, wireless communications among intrabody nanodevices will expectedly be enabled at both the Terahertz Band (0.1-10 THz) as well as optical frequencies (400-750 THz). This result motivates the analysis of the phenomena affecting the propagation of electromagnetic signals inside the human body...
June 22, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28644811/applying-pattern-recognition-to-high-resolution-images-to-determine-cellular-signaling-status
#14
Michael F Lohrer, Darrin M Hanna, Yang Liu, Kang-Hsin Wang, Fu-Tong Liu, Ted A Laurence, Gang-Yu Liu
Two frequently used tools to acquire high-resolution images of cells are scanning electron microscopy (SEM) and atomic force microscopy (AFM). The former provides a nanometer resolution view of cellular features rapidly and with high throughput, while the latter enables visualizing hydrated and living cells. In current practice, these images are viewed by eye to determine cellular status, e.g. activated versus resting. Automatic and quantitative data analysis is lacking. This work develops an algorithm of pattern recognition that works very effectively for AFM and SEM images...
June 21, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28641266/an-approach-to-identifying-phenomena-accompanying-micro-and-nanoparticles-in-contact-with-irregular-vessel-walls
#15
K Talaska, A Ferreira
OBJECTIVE: The objective of this manuscript is to present the method for determining the nature and values of the forces needed to set micro and nanoparticles sitting immobile at the blood vessel wall in motion. METHODS: The problem was tackled in two ways. Microparticles were examined as objects coming into contact with the wall with the actual large arteriole-type vessel structure. The forces acting on microparticles 10 μm, 30 μm and 50 μm in diameter were determined: drag force FD, lift force FL, electrostatic force FE and gravity force FG...
June 19, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28622672/physiological-effects-of-single-and-multi-walled-carbon-nanotubes-on-rice-seedlings
#16
Hao Zhang, Mengxia Yue, Xueke Zheng, Chengshen Xie, Hong Zhou, Lijia Li
In this paper, single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) were found to accelerate leaf growth and development of rice seedlings at a low concentration (20 mg/L), accompanied with the increased chlorophyll content and net photosynthetic rate (PN). Quantitative real-time polymerase chain reaction (RT-PCR) results indicated that both SWCNTs and MWCNTs significantly increased expression of genes associated with chloroplast development and cell sizes. Further analysis revealed that the abscisic acid (ABA) content decreased and the gibberellin (GA) content increased while the content of O2 and H2O2 was slightly elevated and the activities of antioxidative enzymes (SOD, EC 1...
June 14, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28613180/atomic-force-microscopy-in-characterizing-cell-mechanics-for-biomedical-applications-a-review
#17
Mi Li, Dan Dang, Lianqing Liu, Ning Xi, Yuechao Wang
Cell mechanics is a novel label-free biomarker for indicating cell states and pathological changes. The advent of atomic force microscopy (AFM) provides a powerful tool for quantifying the mechanical properties of single living cells in aqueous conditions. The wide use of AFM in characterizing cell mechanics in the past two decades have yielded remarkable novel insights in understanding the development and progression of certain diseases such as cancer, showing the huge potential of cell mechanics for practical applications in the field of biomedicine...
June 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28613179/unsupervised-learning-of-spike-pattern-for-seizure-detection-and-wavefront-estimation-of-high-resolution-micro-electrocorticographic-%C3%AE-ecog-data
#18
Yilin Song, Yao Wang, Jonathan Viventi
For the past few years, we have developed flexible, active, multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the electrical activity of the brain, the analytical methods to process, categorize and respond to the huge volumes of seizure data produced by these devices have not yet been developed. In this work we proposed an unsupervised learning framework for spike analysis, which by itself reveals spike pattern...
June 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28541903/alzheimer-s-disease-classification-based-on-individual-hierarchical-networks-constructed-with-3d-texture-features
#19
Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan
Brain network plays an important role in representing abnormalities in Alzheimers disease (AD) and mild cognitive impairment (MCI), which includes MCIc (MCI converted to AD) and MCInc (MCI not converted to AD). In our previous study, we proposed an AD classification approach based on individual hierarchical networks constructed with 3D texture features of brain images. However, we only used edge features of the networks without node features of the networks. In this study, we propose a framework of the combination of multiple kernels to combine edge features and node features for AD classification...
May 23, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28809667/nonlinear-dynamic-complexity-and-sources-of-resting-state-eeg-in-abstinent-heroin-addicts
#20
Qinglin Zhao, Hua Jiang, Bin Hu, Yonghui Li, Ning Zhong, Mi Li, Wenhua Lin, Quanying Liu
It has been reported that chronic heroin intake induces both structural and functional changes in human brain; however, few studies have investigated the carry-over adverse effects on brain after heroin withdrawal. In this paper, we examined the neurophysiological differences between the abstinent heroin addicts (AHAs) and healthy controls (HCs) using nonlinear dynamic analysis and source localization analysis in resting-state electroencephalogram (EEG) data; 5 min resting EEG data from 20 AHAs and twenty age-, education-, and gender-matched HCs were recorded using 64 electrodes...
July 2017: IEEE Transactions on Nanobioscience
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