Read by QxMD icon Read

IEEE Transactions on Nanobioscience

Hadeel Elayan, Cesare Stefanini, Raed M Shubair, Josep Miquel Jornet
In-vivo Wireless Nanosensor Networks (iWNSNs) are paving the way towards transformative healthcare solutions. These networks are expected to enable a plethora of applications including drug-delivery, bio-sensing, and health monitoring. With the development of miniature plasmonic signal sources, antennas and detectors, wireless communications among intrabody nanodevices will expectedly be enabled in the Terahertz (THz) frequency band (0.1-10 THz). Several propagation models were recently developed to analyze and assess the feasibility of intra-body electromagnetic (EM) nanoscale communication...
September 6, 2018: IEEE Transactions on Nanobioscience
Nanoparticles Zeeshan, K S Daya, Prem Saran Tirumalai, Evangelyn Alocilja
In this paper, we used the distinguishable surface charge and mass of different bacterial strains for label free detection and differentiation of pathogen through impedance and magnetohydrodynamic analysis. For isolation of Escherichia coli and Staphylococcus aureus, functionalized magnetic nanoparticles (MNPs) were used. Proposed method is aimed at minimizing extensive chemical preparation and labour intensive conventional microbiological processing thereby reducing the detection time. Pathogens isolated from broth cultures using MNPs were subjected to impedance rate measurement through an arduino based automated impedance sensor along with differentiation on the basis of Larmor's motion through Magnetohydrodynamic (MHD) approach...
August 13, 2018: IEEE Transactions on Nanobioscience
R Ray, J Basu, W A Gazi, N Samanta, K Bhattacharyya, C Roy Chaudhuri
Recently, graphene nanogrid sensor has been reported to be capable of sub-femtomolar sensing of Hepatitis B (Hep-B) surface antigen in buffer. However, for such low concentration of Hep-B in serum, it has been observed during real time operation, that there is an overlap of around 50% in the drain-source current sensitivity values between different concentrations of the target biomolecule, in the range of 0.1 fM to 100 fM. This has been attributed to the fact that the concentration of non-specific antigen in serum being significantly higher than that of the target antigen, there is a considerable deviation in the number of captured target antigen for the same concentration...
August 6, 2018: IEEE Transactions on Nanobioscience
Prakash Rewatkar, Sanket Goel
The present work establishes a membraneless, co-laminar flow-based approach to develop a cost-effective microfluidic paper-based analytical device for enzymatic biofuel cell (μPAD-EBFC). The developed μPAD-EBFC supporting the self-capillary fluid transport action, consists of Y-shaped paper microchannel with the fuel (glucose) and oxidant (O2) streaming in parallel over carbon nanotube (CNT) based bucky paper (BP) electrodes modified with biocompatible electrocatalytic enzymes such as Glucose oxidase (GOx) and Laccase without any additional redox cofactor...
July 18, 2018: IEEE Transactions on Nanobioscience
Sudabe Jafari, Houshang Alizadeh, Daryoush Davoodi, Parisa Jonoubi, Ahmad Majd, Zahra-Sadat Shobbar, Mojtaba Zamani
The ever-increasing use of silver nanoparticles (nAg) in various products necessitates investigation of the behavior of biological systems encountering these particles. In this study, considering maize as a biological model, the effects of colloidal nAg (<80nm) on its cell culture were investigated. For comparison purposes, silver nitrate was used as a representative of silver ion (Ag+). After stabilization of cell suspensions, they were treated with nAg and Ag+ (1 mg/l), then cell suspension growth was measured and the microscopic analysis and a cell viability test were performed...
July 17, 2018: IEEE Transactions on Nanobioscience
Qianyi Zhan, Sherry Emery, Philip Yu, Chongjun Wang, Yuan Liu
E-cigarettes(vape) are now the most commonly used tobacco product among youth in the United States. Ads are claiming e-cigarettes help smokers quit, but most of them contain nicotine, which can cause addiction and harm the developing adolescent brain. Therefore national, state and local health organizations have proposed anti-vaping campaigns to warn the potential risks of e-cigarettes. However, there is some evidence that these products may reduce harm for adult users who reduce or quit combustible cigarette smoking, and little evidence that e-cigarettes cause long-term harm, pro-vaping advocates have used this equivocal evidence base to oppose the anti-vaping media campaign messaging, generating a very high volume of oppositional messages on social media...
July 12, 2018: IEEE Transactions on Nanobioscience
Omar I Al-Surkhi, Reem Y Naser
Bioimpedance spectroscopy is a promising method for tissue ischemia monitoring; it is used in this research to study ischemia and cell morphology using bioimpedance measurements of rabbit liver tissue. The current paper presents the evolution of Cole parameters and cell parameters with time, and establishes a relation between cellular morphological changes during cell ischemia with bioimpedance measurements at different frequencies. The general behavior of ischemic liver tissue has been analyzed. Evolution of Cole parameters were extrapolated from BIS measurements and their behavior was studied with respect to time...
July 5, 2018: IEEE Transactions on Nanobioscience
Shreya Ghosh, Debopam Datta, Shreya Chaudhry, Mitra Dutta, Michael A Stroscio
This study reports an optical 'turn off' aptasensor, which is comprised of a deoxyribonucleic acid aptamer attached to a quantum dot on the 5' terminus and gold nanoparticle on the 3' terminus. The photoluminescence intensity is observed to decrease upon progressive addition of the target protein tumor necrosis factor-alpha to the sensor. For PBS based TNF-alpha samples, the beacon exhibited 19 - 20% quenching at around 22 nM concentration. The photoluminescence intensity and the quenching efficiency showed a linear decrease and a linear increase respectively between 0 to 22...
July 2, 2018: IEEE Transactions on Nanobioscience
Tatsuya Suda, Tadashi Nakano
The authors of this paper have been involved in molecular communication since its conception. The authors describe their decade-and-a-half long personal journey of the molecular communication research and share their observations and thoughts on how the molecular communication research started and expanded to flourish. They also share their thoughts on research challenges that they hope the molecular communication research community addresses in the coming decade.
July 2, 2018: IEEE Transactions on Nanobioscience
Nafiseh Salek, Ali Bahrami-Samani, Simindokht Shirvani-Arani, Sara Vosoghi, Ali Yousefi, Mohammad Ghannadi-Maragheh
In this paper, the metal organic framework (MOF) concept is contributed to rearrange the bone-seeking agent composed of carrier-free lutetium-177 (Lu-177), 1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraaminomethylenephosphonate (DOTMP) and cupper (II) (Cu (II)) for preparation of a potential agent for treatment of bone metastases. The product was characterized (infra-red spectroscopy, IR, and X-ray diffraction analysis) and quality-controlled (radio-thin layer chromatography, (RTLC)). The stability and in vitro hydroxyapatite binding was checked up to 1...
July 2018: IEEE Transactions on Nanobioscience
Arjun P Athreya, Alan J Gaglio, Junmei Cairns, Krishna R Kalari, Richard M Weinshilboum, Liewei Wang, Zbigniew T Kalbarczyk, Ravishankar K Iyer
This paper demonstrates the ability of mach- ine learning approaches to identify a few genes among the 23,398 genes of the human genome to experiment on in the laboratory to establish new drug mechanisms. As a case study, this paper uses MDA-MB-231 breast cancer single-cells treated with the antidiabetic drug metformin. We show that mixture-model-based unsupervised methods with validation from hierarchical clustering can identify single-cell subpopulations (clusters). These clusters are characterized by a small set of genes (1% of the genome) that have significant differential expression across the clusters and are also highly correlated with pathways with anticancer effects driven by metformin...
July 2018: IEEE Transactions on Nanobioscience
Wenhui Xing, Xiaohui Yuan, Lin Li, Lun Hu, Jing Peng
As a significant determinant in the development of named entity recognition, phenotypic descriptions are normally presented differently in biomedical literature with the use of complicated semantics. In this paper, a novel approach has been proposed to identify plant phenotypes by adopting word embedding to sentence embedding cascaded approach. We make use of a word embedding method to find high-frequency phenotypes with original sentences used as input in a sentence embedding method. In doing so, a variety of complicated phenotypic expressions can be recognized accurately...
July 2018: IEEE Transactions on Nanobioscience
Hamideh Ramezani, Ozgur B Akan
Understanding the communication theoretical capabilities of information transmission among neurons, known as neuro-spike communication, is a significant step in developing bio-inspired solutions for nanonetworking. In this paper, we focus on a part of this communication known as synaptic transmission for pyramidal neurons in the Cornu Ammonis area of the hippocampus location in the brain and propose a communication-based model for it that includes effects of spike shape variation on neural calcium signaling and the vesicle release process downstream of it...
July 2018: IEEE Transactions on Nanobioscience
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Jing Gao, Aidong Zhang
Predicting patients' risk of developing certain diseases is an important research topic in healthcare. Accurately identifying and ranking the similarity among patients based on their historical records is a key step in personalized healthcare. The electric health records (EHRs), which are irregularly sampled and have varied patient visit lengths, cannot be directly used to measure patient similarity due to the lack of an appropriate representation. Moreover, there needs an effective approach to measure patient similarity on EHRs...
July 2018: IEEE Transactions on Nanobioscience
Anuradha Welivita, Indika Perera, Dulani Meedeniya, Anuradha Wickramarachchi, Vijini Mallawaarachchi
Bioinformatics research continues to advance at an increasing scale with the help of techniques such as next-generation sequencing and the availability of tool support to automate bioinformatics processes. With this growth, a large amount of biological data gets accumulated at an unprecedented rate, demanding high-performance and high-throughput computing technologies for processing such datasets. Use of hardware accelerators, such as graphics processing units (GPUs) and distributed computing, accelerates the processing of big data in high-performance computing environments...
July 2018: IEEE Transactions on Nanobioscience
Ming Zhu, Gexiang Zhang, Qiang Yang, Haina Rong, Weitao Yuan, Mario J Perez-Jimenez
Automatic design of mechanical procedures solving abstract problems is a relevant scientific challenge. In particular, automatic design of membranes systems performing some prefixed tasks is an important and useful research topic in the area of Natural Computing. In this context, deterministic membrane systems were designed in order to capture the values of polynomials with natural numbers coefficients. Following that work, this paper extends the previous result to polynomials with integer numbers coefficients...
July 2018: IEEE Transactions on Nanobioscience
Shirin Salehi, Naghmeh S Moayedian, Shaghayegh Haghjooy Javanmard, Eduard Alarcon
In this paper, a multiple transmitter local drug delivery system associated with encapsulated drug transmitters is investigated. One of the limitations of drug delivery systems is the reservoir capacity. In order to improve the lifetime of drug transmitting nanomachines, and, hence, the longevity of drug delivery scenario, the system is associated with encapsulated drug transmitters. Encapsulated drugs are incapable of reaction with the environment unless they are unpacked in a drug transmitter nanomachine...
July 2018: IEEE Transactions on Nanobioscience
Wen Cao, Nicholas Czarnek, Juan Shan, Lin Li
Diabetic retinopathy (DR) is an eye abnormality caused by long-term diabetes and it is the most common cause of blindness before the age of 50. Microaneurysms (MAs), resulting from leakage from retinal blood vessels, are early indicators of DR. In this paper, we analyzed MA detectability using small 25 by 25 pixel patches extracted from fundus images in the DIAbetic RETinopathy DataBase - Calibration Level 1 (DIARETDB1). Raw pixel intensities of extracted patches served directly as inputs into the following classifiers: random forest (RF), neural network, and support vector machine...
July 2018: IEEE Transactions on Nanobioscience
Yaodong Du, Rania Almajalid, Juan Shan, Ming Zhang
This paper explored the hidden biomedical information from knee magnetic resonance (MR) images for osteoarthritis (OA) prediction. We have computed the cartilage damage index (CDI) information from 36 informative locations on tibiofemoral cartilage compartment from 3-D MR imaging and used principal component analysis (PCA) analysis to process the feature set. Four machine learning methods (artificial neural network (ANN), support vector machine, random forest, and naïve Bayes) were employed to predict the progression of OA, which was measured by the change of Kellgren and Lawrence (KL) grade, Joint Space Narrowing on Medial compartment (JSM) grade, and Joint Space Narrowing on Lateral compartment (JSL) grade...
July 2018: IEEE Transactions on Nanobioscience
Hong Peng, Jinlong Chao, Sirui Wang, Jie Dang, Fengqi Jiang, Bin Hu, Dennis Majoe
As a promising non-invasive technique, functional near-infrared spectroscopy (fNIRS) can easily detect the hemodynamic responses of cortical brain activities. This paper investigated the multiclass classification of motor imagery (MI) based on fNIRS; ten healthy individuals were recruited to move an object using their imagination. A multi-channel continuous-wave fNIRS equipment was applied to obtain the signals from the prefrontal cortex. A combination of ensemble empirical mode decomposition and independent component analysis method was used to solve the signal-noise frequency spectrum aliasing issues caused by the Mayer wave (0...
July 2018: IEEE Transactions on Nanobioscience
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"