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IEEE Transactions on Nanobioscience

Hamdan Awan, Chun Tung Chou
This paper considers the capacity of a diffusion-based molecular communication link assuming the receiver uses chemical reactions. The key contribution is we show that enzymatic reaction cycles, which is a class of chemical reactions commonly found in cells consisting of a forward and a backward enzymatic reaction, can improve the capacity of the communication link. The technical difficulty in analysing enzymatic reaction cycles is that their reaction rates are nonlinear. We deal with this by assuming that the amount of certain chemicals in the enzymatic reaction cycle is large...
September 18, 2017: IEEE Transactions on Nanobioscience
Nadra Bohli, Hanen Chammem, Olivier Meilhac, Laurence Mora, Adnane Abdelghani
Glycosylated albumin is considered as a potentially accurate indicator of shorter-term average glucose concentration compared to the current standard HbA1c and as such, it's attracting the interest of the scientific community as a possible diagnosis marker for diabetic patients. The purpose of this paper is to achieve a better understanding of the glycation effect of albumin on its electrochemical properties. That is done through the use of Interdigitated gold microelectrodes (IDGE) as support in a label free impedimetric immunosensor for detection of human serum albumin detection in glycated (GA) and non-glycated (HSA) form...
September 14, 2017: IEEE Transactions on Nanobioscience
Jin Liu, Min Li, Yi Pan, Fang-Xiang Wu, Xiaogang Chen, Jianxin Wang
With structural magnetic resonance imaging (MRI) images, conventional methods for the classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness independently at different regions of interest (ROIs) without considering the correlation between these regions. In this study we proposed an improved method for the classification of SCZ and HC based on individual hierarchical brain networks constructed from structural MRI images. Our method involves constructing individual hierarchical networks where each node and each edge in these networks represents a ROI and the correlation between a pair of ROIs, respectively...
September 11, 2017: IEEE Transactions on Nanobioscience
B-A Behrens, A Bouguecha, M Lerch, H Windhagen, A Almohallami
We developed a numerical model to describe the bone remodelling process in periprosthetic bone tissues and validated it by means of dual energy X-ray absorptiometry methods (DEXA) with different types of hip implants. In this study we applied the numerical model to investigate the influence of implant size and of the size of the porous coated area on bone remodelling in a periprosthetic human femur in an effort to define properties of implants which would reduce bone remodelling after total hip arthroplasty...
September 11, 2017: IEEE Transactions on Nanobioscience
Xiao-Hu Hao, Gui-Jun Zhang, Xiao-Gen Zhou
Protein structure prediction can be considered as a multimodal optimization problem for sampling the protein conformational space associated with an extremely complex energy landscape. To address this problem, a conformational space sampling method using multi-subpopulation differential evolution, MDE, is proposed. MDE first devotes to generate given numbers of concerned modal under the ultrafast shape recognition based modal identification protocol, which regards each individual as one modal at beginning. Then, differential evolution is used for keeping the preserved modal survival in the evolution process...
September 5, 2017: IEEE Transactions on Nanobioscience
Hongzhi Guo, Josep Miquel Jornet, Qiaoqiang Gan, Zhi Sun
In the last few decades, the development of miniature biological sensors that can detect and measure different phenomena at the nanoscale has led to transformative disease diagnosis and treatment techniques. Among others, biofunctional Raman nanoparticles have been utilized in vitro and in vivo for multiplexed diagnosis and detection of different biological agents. However, existing solutions require the use of bulky lasers to excite the nanoparticles and similarly bulky and expensive spectrometers to measure the scattered Raman signals, which limit the practicality and applications of this nano-biosensing technique...
September 4, 2017: IEEE Transactions on Nanobioscience
Song Qiu, Werner Haselmayr, Bin Li, Chenglin Zhao, Weisi Guo
In multi-cellular organisms, molecular signaling spans multiple distance scales and is essential to tissue structure and functionality. Molecular communications is increasingly researched and developed as a key subsystem in the Internet-of-Nano-Things (IoNT) paradigm. Whilst short range microscopic diffusion communications is well understood, longer range channels can be inefficient and unreliable. Static and mobile relays have been proposed in both conventional wireless systems and molecular communication contexts...
August 18, 2017: IEEE Transactions on Nanobioscience
Rupesh Singh, Srinivas Rajaraman, Madhusudhanan Balasubramanian
PURPOSE: A novel nanoparticle mediated methodology for laser photocoagulation of the inner retina to achieve tissue selective treatment is presented. METHODS: Transport of 527 nm, 577 nm, and 810 nm laser, heat deposition and eventual thermal damage in vitreous, retina, RPE, choroid and sclera were modelled using Bouguer-Beer-Lambert law of absorption and solved numerically using the finite volume method. Nanoparticles were designed using Mie theory of scattering...
August 18, 2017: IEEE Transactions on Nanobioscience
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
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
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
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
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
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
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
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
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
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
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
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
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