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IEEE Transactions on Nanobioscience

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
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
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
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
Bowen Tan, Zicheng Zhao, Zhe Zhang, Shengbin Li, Shuai Cheng Li
Published by the Combined DNA Index System (CODIS) program of the Federal Bureau of Investigation (FBI) in 1997, the 13 core short tandem repeat (STR) loci are widely adopted as genetic markers in forensic applications, e.g., identity testing and paternity testing. However, these loci may be biased and suffer from reduced sensitivities towards specific population groups. In addition, the rapid growth of entries in forensic databases raises the chance of random hits, which can cause false recognitions of criminal suspects...
June 7, 2017: IEEE Transactions on Nanobioscience
Tooba Khan, Bilgesu A Bilgin, Ozgur B Akan
Computational methods have been extensively used to understand underlying dynamics of molecular communication methods employed by nature. One very effective and popular approach is to utilize a Monte Carlo simulation. Although it is very reliable, this method can have a very high computational cost, which in some cases renders the simulation impractical. Therefore, in this paper, for the special case of an excitatory synaptic molecular communication channel, we present a novel mathematical model for the diffusion and binding of neurotransmitters that takes into account the effects of synaptic geometry in three-dimensional space and re-absorption of neurotransmitters by the transmitting neuron...
May 23, 2017: IEEE Transactions on Nanobioscience
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
Qianyi Zhan, Jiawei Zhang, Philip Yu, Sherry Emery, Junyuan Xie
Anti-tobacco mass media campaigns are designed to influence tobacco users. It has been proved that campaigns will produce users' changes in awareness, knowledge, and attitudes, and also produce meaningful behavior change of audience. Antismoking television advertising is the most important part in the campaign. Meanwhile nowadays successful online social networks are creating new media environment, however little is known about the relation between social conversations and anti-tobacco campaigns. This paper aims to infer social influence of these campaigns, and the problem is formally referred to as the Social Influence inference of anti-Tobacco mass mEdia campaigns (SITE) problem...
May 23, 2017: IEEE Transactions on Nanobioscience
Xiaoqin Tang, Dennis V D Zwaan, Alan Zammit, Kristian F D Rietveld, Fons J Verbeek
To improve the effectiveness and efficiency of the optical projection tomography (OPT) 3D reconstruction, we presented a fast post-processing pipeline including cropping, background subtraction, center of rotation (COR) correction and 3D reconstruction. Regarding to the COR correction, a novel algorithm based on interest point detection of sinogram is proposed by considering the principle of OPT imaging. Instead of locating the COR on single sinogram, we intermittently and evenly select sinograms in the detected full range of specimen to make the located COR more convincing...
May 23, 2017: IEEE Transactions on Nanobioscience
Bige D Unluturk, M Siblee Islam, Sasitharan Balasubramaniam, Stepan Ivanov
The progress of molecular communication is tightly connected to the progress of nanomachine design. State-of-the-art states that nanomachines can be built either from novel nanomaterials by the help of nanotechnology or they can be built from living cells which are modified to function as intended by synthetic biology. With the growing need of biomedical applications of MC, we focus on developing bio-compatible communication systems by engineering the cells to become MC nanomachines. Since this approach relies on modifying cellular functions, the improvements in the performance can only be achieved by integrating new biological properties...
May 23, 2017: IEEE Transactions on Nanobioscience
Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Juan Wang
High dimensionality has become a typical feature of biomolecular data. In this paper, a novel dimension reduction method named p-norm singular value decomposition (PSVD) is proposed to seek the low-rank approximation matrix to the biomolecular data. To enhance the robustness to outliers, the Lp-norm is taken as the error function and the Schatten p-norm is used as the regularization function in the optimization model. To evaluate the performance of PSVD, the Kmeans clustering method is then employed for tumor clustering based on the low-rank approximation matrix...
May 18, 2017: IEEE Transactions on Nanobioscience
Jianliang Gao, Bo Song, Weimao Ke, Xiaohua Hu
Coverage and consistency are two most considered metrics to evaluate the effectiveness of network alignment. But they are a pair of contradictory evaluation metrics in PPI network alignment. It is difficult, if not impossible, to achieve high coverage and consistency simultaneously. Furthermore, existing methods of multiple PPI network alignment mostly ignore k-coverage or k-consistency, where k indicates the number of aligned species. In this paper, we propose BalanceAli, a novel approach for global alignment of multiple PPI networks that achieves high k-coverage and k-consistency simultaneously...
May 18, 2017: IEEE Transactions on Nanobioscience
Chen Zhang, Tianzhu Liang, Philip Mok, Weichuan Yu
In ultrasound image analysis, speckle tracking methods are widely applied to study the elasticity of body tissue. However, "feature-motion decorrelation" still remains as a challenge for speckle tracking methods. Recently, a coupled filtering method and an affine warping method were proposed to accurately estimate strain values when the tissue deformation is large. The major drawback of these methods is the high computational complexity. Even the GPU-based program requires a long time to finish the analysis...
May 17, 2017: IEEE Transactions on Nanobioscience
Ranjita Dash, Jose Luis Risco-Martin, Ashok Kumar Turuk, Vinod Pangracious, Jose L Ayala, Amartya Majumdar
Three-dimensional network-on-chip systems are getting popular among the integrated circuit (IC) manufacturer because of reduced latency, heterogeneous integration of technologies on a single chip, high yield, and consumption of less interconnecting power. However, the addition of functional units in the Z-direction has resulted in higher on-chip temperature and appearance of local hotspots on the die. The increase in temperature degrades the performance, lifetime, reliability, and increases the maintenance cost of 3-D ICs...
May 15, 2017: IEEE Transactions on Nanobioscience
Gaetano Valenza, Athanasios Vasilakos
New knowledge on multi-scale temporal dynamics linking nanobio-time series, seasonal changes, immune response, and gut mictobiota can milestone (neuro)science soon.
May 12, 2017: IEEE Transactions on Nanobioscience
Neha Mehrotra, Ravi M Tripathi, Fahmina Zafar, M P Singh
The removal of dichlorvos contamination from water is challenging task because of the presence of direct carbon to phosphorous covalent bond which make them resistant to chemical and thermal degradation. Although there have been reports in the literature for degradation of dichlorvos using nanomaterials but those are based on photocatalysis. In this study, we report a simple and rapid method for catalytic degradation of dichlorvos using protein capped zero valent iron nanoparticles (FeNPs). We have developed unprecedented reliable, clean, nontoxic, eco-friendly and cost effective biological method for the synthesis of uniformly distributed FeNPs...
May 2, 2017: IEEE Transactions on Nanobioscience
Ujjwol Barman, Gargi Mukhopadhyay, Namami Goswami, Siddhartha S Ghosh, Roy P Palathinkal
This paper reports a novel electrochemical method for detection of Glutathione (GSH) using Glutathione-S-Transferase (GST) - ZnO composite nanoparticles to investigate the prospects of the method for detection of cancer at an early stage. The purified GST enzyme was bound with ZnO nanoparticles by electrostatic interactions and the nanocomposite was dropcast on a silicon dioxide wafer. The GST functionalized deposited layer was then used as a chemiresistive channel to detect conjugation reaction between GSH and 1-Chloro-2,4-Dinitrobenzene (CDNB)...
April 26, 2017: IEEE Transactions on Nanobioscience
Ergin Dinc, Ozgur B Akan
In nano-bio networks, multiple transmitter-receiver pairs will operate in the same medium. Both inter-symbol interference and multi-user interference can cause saturation at the receiver side, and this effect may cause an outage. Thus, we propose a tractable framework to calculate the theoretical operating points for fully absorbing receiver.
April 12, 2017: IEEE Transactions on Nanobioscience
Chunmei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu
In modern molecular biology, the hotspots and difficulties of this field are identifying characteristic genes from gene expression data. Traditional reconstruction-error- minimization model Principal Component Analysis (PCA) as a matrix decomposition method uses quadratic error function, which is known sensitive to outliers and noise. Hence it is necessary to learn a good PCA method when outliers and noise exist. In this paper, we develop a novel PCA method enforcing P-norm on error function and graph-Laplacian regularization term for matrix decomposition problem, which is called as PgLPCA...
March 31, 2017: IEEE Transactions on Nanobioscience
Hamideh Ramezani, Ozgur B Akan
Understanding the fundamentals of communication among neurons, known as neuro-spike communication, leads to reach bio-inspired nanoscale communication paradigms. In this work, we focus on a part of neuro-spike communication, known as axonal transmission, and propose a realistic model for it. The shape of the spike during axonal transmission varies according to previously applied stimulations to the neuron and these variations affect the amount of information communicated between neurons. Hence, to reach an accurate model for neurospike communication, the memory of axon and its effect on the axonal transmission should be considered, which are not studied in the existing literature...
March 28, 2017: IEEE Transactions on Nanobioscience
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