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https://www.readbyqxmd.com/read/28654883/removal-of-chromium-vi-from-aqueous-solutions-using-surface-modified-composite-nanofibers
#1
Alaa Mohamed, W S Nasser, T A Osman, M S Toprak, M Muhammed, A Uheida
A novel material composite nanofibers (PAN-CNT/TiO2-NH2) based on adsorption of Cr(VI) ions, was applied. Polyacrylonitrile (PAN) and carbon nanotube (CNTs)/titanium dioxide nanoparticles (TiO2) functionalized with amine groups (TiO2-NH2) composite nanofibers have been fabricated by electrospinning. The nanostructures and the formation process mechanism of the obtained PAN-CNT/TiO2-NH2 composite nanofibers are investigated using FTIR, XRD, XPS, SEM, and TEM. The composite nanofibers were used as a novel adsorbent for removing toxic chromium Cr(VI) in aqueous solution...
June 20, 2017: Journal of Colloid and Interface Science
https://www.readbyqxmd.com/read/28654830/analysis-of-variations-of-correlation-dimension-and-nonlinear-interdependence-for-the-prediction-of-pediatric-myoclonic-seizures-a-preliminary-study
#2
Mohamad Amin Sharifi Kolarijani, Susan Amirsalari, Mohsen Reza Haidari
In this preliminary study, we evaluated the predictive ability of Correlation Dimension (CD) and Nonlinear Interdependence (NI) for seizures in pediatric myoclonic epilepsy patients. Scalp EEG recordings of eight diagnosed cases of myoclonic epilepsy were analyzed using Receiver Operating Curve (ROC) for discriminating the preictal period from interictal period. Furthermore, based on clinical seizure characteristics and EEG data, the spatiotemporal patterns of measures in clinically relevant areas of the brain were compared with other areas for each patient...
June 17, 2017: Epilepsy Research
https://www.readbyqxmd.com/read/28654324/conceptual-and-experimental-tools-to-understand-spatial-effects-and-transport-phenomena-in-nonlinear-biochemical-networks-illustrated-with-patchy-switching
#3
Rebecca R Pompano, Andrew H Chiang, Christian J Kastrup, Rustem F Ismagilov
Many biochemical systems are spatially heterogeneous and exhibit nonlinear behaviors, such as state switching in response to small changes in the local concentration of diffusible molecules. Systems as varied as blood clotting, intracellular calcium signaling, and tissue inflammation are all heavily influenced by the balance of rates of reaction and mass transport phenomena including flow and diffusion. Transport of signaling molecules is also affected by geometry and chemoselective confinement via matrix binding...
June 20, 2017: Annual Review of Biochemistry
https://www.readbyqxmd.com/read/28653366/method-and-excel-vba-algorithm-for-modeling-master-recession-curve-using-trigonometry-approach
#4
Kristijan Posavec, Marco Giacopetti, Marco Materazzi, Steffen Birk
A new method was developed and implemented into an Excel Visual Basic for Applications (VBAs) algorithm utilizing trigonometry laws in an innovative way to overlap recession segments of time series and create master recession curves (MRCs). Based on a trigonometry approach, the algorithm horizontally translates succeeding recession segments of time series, placing their vertex, that is, the highest recorded value of each recession segment, directly onto the appropriate connection line defined by measurement points of a preceding recession segment...
June 26, 2017: Ground Water
https://www.readbyqxmd.com/read/28653335/-catlas-an-mri-based-three-dimensional-cortical-atlas-and-tissue-probability-maps-for-the-domestic-cat-felis-catus
#5
Daniel Stolzberg, Carmen Wong, Blake E Butler, Stephen G Lomber
Brain atlases play an important role in effectively communicating results from neuroimaging studies in a standardized coordinate system. Furthermore, brain atlases extend analysis of functional magnetic resonance imaging (MRI) data by delineating regions of interest over which to evaluate the extent of functional activation as well as measures of inter-regional connectivity. Here we introduce a three-dimensional atlas of the cat cerebral cortex based on established cytoarchitectonic and electrophysiological findings...
June 27, 2017: Journal of Comparative Neurology
https://www.readbyqxmd.com/read/28653244/%C3%AE-hydroxybutyric-acid-ghb-pharmacokinetics-and-pharmacodynamics-semi-mechanistic-and-physiologically-relevant-pk-pd-model
#6
Rutwij A Dave, Kristin E Follman, Marilyn E Morris
An overdose of γ-hydroxybutyric acid (GHB), a drug of abuse, results in fatality caused by severe respiratory depression. In this study, a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model was developed to characterize monocarboxylate transporter 1 (MCT1)-mediated transport of GHB, as well as effects of GHB on respiration frequency, for IV doses of 200, 600, and 1500 mg/kg in rats. The proposed PK/PD model for GHB consists of nonlinear metabolism of GHB in the liver, MCT1-mediated renal reabsorption with physiologically relevant concurrent fluid reabsorption, MCT1-mediated uptake into the brain, and direct effects of binding of GHB to GABAB receptors on the PD parameter, respiration frequency...
June 26, 2017: AAPS Journal
https://www.readbyqxmd.com/read/28652496/harnessing-temporal-modes-for-multi-photon-quantum-information-processing-based-on-integrated-optics
#7
G Harder, V Ansari, T J Bartley, B Brecht, C Silberhorn
In the last few decades, there has been much progress on low loss waveguides, very efficient photon-number detectors and nonlinear processes. Engineered sum-frequency conversion is now at a stage where it allows operation on arbitrary temporal broadband modes, thus making the spectral degree of freedom accessible for information coding. Hereby the information is often encoded into the temporal modes of a single photon. Here, we analyse the prospect of using multi-photon states or squeezed states in different temporal modes based on integrated optics devices...
August 6, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28651184/computational-study-of-structural-optoelectronic-and-nonlinear-optical-properties-of-dynamic-solid-state-chalcone-derivatives
#8
Aijaz Rasool Chaudhry, Ahmad Irfan, Shabbir Muhammad, Abdullah G Al-Sehemi, R Ahmed, Zhang Jingping
In the present study, we use the state of art density functional theory (DFT) techniques to calculate the structural, optoelectronic and nonlinear optical (NLO) properties for two novel chalcone derivatives. The geometrical structures of chalcone derivatives compound 1 and 2 are optimized using periodic boundary conditions (PBC) in solid-state phase as well as isolated single molecular geometry in the gas phase. The reasonable agreement is found among experimental, solid-state and gas phase single molecular geometries, which provide us, further confidence to explore the potential of above-entitled derivatives as good functional materials for electro-optical applications...
May 29, 2017: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/28651043/visualizing-the-contributions-of-virtual-states-to-two-photon-absorption-cross-sections-by-natural-transition-orbitals-of-response-transition-density-matrices
#9
Kaushik D Nanda, Anna I Krylov
Observables such as two-photon absorption cross-sections cannot be computed from the wave functions of the initial and final states alone because of their nonlinear nature. Rather, they depend on the entire manifold of the excited states, which follows from the familiar sum-over-states expressions of second- and higher-order properties. Consequently, the interpretation of the computed nonlinear optical properties in terms of molecular orbitals is not straightforward and usually relies on approximate few-states models...
June 26, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28650838/adaptive-neural-network-finite-time-output-feedback-control-of-quantized-nonlinear-systems
#10
Fang Wang, Bing Chen, Chong Lin, Jing Zhang, Xinzhu Meng
This paper addresses the finite-time tracking issue for nonlinear quantized systems with unmeasurable states. Compared with the existing researches, the finite-time quantized feedback control is considered for the first time. By proposing a new finite-time stability criterion and designing a state observer, a novel adaptive neural output-feedback control strategy is raised by backstepping technique. Under the presented control scheme, the finite-time quantized feedback control problem is coped with without limiting assumption for nonlinear functions...
June 26, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28650829/time-varying-system-identification-using-an-ultra-orthogonal-forward-regression-and-multiwavelet-basis-functions-with-applications-to-eeg
#11
Yang Li, Wei-Gang Cui, Yu-Zhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei
A new parametric approach is proposed for nonlinear and nonstationary system identification based on a time-varying nonlinear autoregressive with exogenous input (TV-NARX) model. The TV coefficients of the TV-NARX model are expanded using multiwavelet basis functions, and the model is thus transformed into a time-invariant regression problem. An ultra-orthogonal forward regression (UOFR) algorithm aided by mutual information (MI) is designed to identify a parsimonious model structure and estimate the associated model parameters...
June 22, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28650648/indian-ocean-dipole-and-cryptosporidiosis-in-australia-short-term-and-nonlinear-associations
#12
Aparna Lal, Masahiro Hashizume, Simon Hales
The Indian Ocean Dipole (IOD) is a global climate phenomenon that influences the spread of human infectious diseases through climate extremes including droughts and floods. The Dipole Mode Index (DMI), which measures the strength of the IOD, is one of the main indicators of rainfall variability across Australia. Using an ecological, time-series approach we examined the short-term and nonlinear relationship between the DMI and weekly cryptosporidiosis reported from 2001 to 2012 across the temperate, subtropical, and tropical climate zones in Australia, controlling for season, long-term trends, and cryptosporidiosis counts from the past week...
June 26, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28649843/pb-pb8-basket-like-cluster-based-lead-tellurate-nitrate-kleinman-forbidden-nonlinear-optical-crystal-pb9te2o13-oh-no3-3
#13
Yi-Gang Chen, Nan Yang, Xing-Xing Jiang, Yao Guo, Xian-Ming Zhang
The first lead tellurate-nitrate nonlinear-optical (NLO) crystal, Pb9Te2O13(OH)(NO3)3, featuring a 3D anionic diamondlike toplogical structural motif formulated as [Pb9O13](8-) constructed by unique nonanuclear basket-shaped Pb@Pb8O14 clusters has been hydrothermally achieved, in which the Pb@Pb8O14 cluster shows a core-shell structure with one PbO10 polyhedron enclosed by eight PbOx (x = 3 and 4) polyhedera via edge and face sharing. The hexavalent Te in TeO5(OH) octahedra is linked to a [Pb9O13](8-) cluster to form a rare [Pb9Te2O13(OH)](3+) cationic framework...
June 26, 2017: Inorganic Chemistry
https://www.readbyqxmd.com/read/28649330/dual-tracer-based-isotope-turnover-rates-in-a-highly-invasive-mysid-limnomysis-benedeni-from-lake-constance
#14
Elizabeth Yohannes, Karl-Otto Rothhaupt
Understanding the ecological patterns of invasive species and their habitats require an understanding of the species' foraging ecology. Stable carbon (δ(13)C) and nitrogen (δ(15)N) isotope values provide useful information into the study of animal ecology and evolution, since the isotope ratios of consumers reflect consumer's dietary patterns. Nevertheless, the lack of species- and element-specific laboratory-derived turnover rates could limit their application. Using a laboratory-based dual stable isotope tracer approach (Na(15) NO 3 and NaH(13) CO 3), we evaluated the δ(15)N and δ(13)C isotope turnover rates in full-grown adult invasive Limnomysis benedeni from Lake Constance...
June 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28649196/estimation-of-time-varying-intrinsic-and-reflex-dynamic-joint-stiffness-during-movement-application-to-the-ankle-joint
#15
Diego L Guarín, Robert E Kearney
Dynamic joint stiffness determines the relation between joint position and torque, and plays a vital role in the control of posture and movement. Dynamic joint stiffness can be quantified during quasi-stationary conditions using disturbance experiments, where small position perturbations are applied to the joint and the torque response is recorded. Dynamic joint stiffness is composed of intrinsic and reflex mechanisms that act and change together, so that nonlinear, mathematical models and specialized system identification techniques are necessary to estimate their relative contributions to overall joint stiffness...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28649195/modulating-stdp-balance-impacts-the-dendritic-mosaic
#16
Nicolangelo Iannella, Thomas Launey
The ability for cortical neurons to adapt their input/output characteristics and information processing capabilities ultimately relies on the interplay between synaptic plasticity, synapse location, and the nonlinear properties of the dendrite. Collectively, they shape both the strengths and spatial arrangements of convergent afferent inputs to neuronal dendrites. Recent experimental and theoretical studies support a clustered plasticity model, a view that synaptic plasticity promotes the formation of clusters or hotspots of synapses sharing similar properties...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28649168/the-scandinavian-fantasy-the-sources-of-intergenerational-mobility-in-denmark-and-the-us
#17
Rasmus Landersø, James J Heckman
This paper examines the sources of differences in social mobility between the U.S. and Denmark. Measured by income mobility, Denmark is a more mobile society, but not when measured by educational mobility. There are pronounced nonlinearities in income and educational mobility in both countries. Greater Danish income mobility is largely a consequence of redistributional tax, transfer, and wage compression policies. While Danish social policies for children produce more favorable cognitive test scores for disadvantaged children, these do not translate into more favorable educational outcomes, partly because of disincentives to acquire education arising from the redistributional policies that increase income mobility...
January 2017: Scandinavian Journal of Economics
https://www.readbyqxmd.com/read/28649016/epileptic-seizure-detection-based-on-imbalanced-classification-and-wavelet-packet-transform
#18
Qi Yuan, Weidong Zhou, Liren Zhang, Fan Zhang, Fangzhou Xu, Yan Leng, Dongmei Wei, Meina Chen
PURPOSE: Automatic seizure detection is significant for the diagnosis of epilepsy and the reduction of massive workload for reviewing continuous EEG recordings. METHODS: Compared with the long non-seizure periods, the durations of the seizure events are much shorter in the continuous EEG recordings. So the seizure detection task can be regarded as an imbalanced classification problem. In this paper, a novel method based on the weighted extreme learning machine (ELM) is proposed for seizure detection with imbalanced EEG data distribution...
June 8, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28648553/escitalopram-plasma-levels-and-antidepressant-response
#19
Vincenzo Florio, Stefano Porcelli, Alois Saria, Alessandro Serretti, Andreas Conca
Major Depression Disorder (MDD) has a highly variable treatment response due to the large inter-individual variation in the pharmacokinetics and pharmacodynamics of drug treatments. In detail the correlation between plasma level and efficacy has been much debated. Among first-line drugs for MDD, one of the most used is escitalopram. In the present study we investigated the association between serum concentration of escitalopram (SCE) and antidepressant response (AR). 70 MDD patients treated with escitalopram monotherapy were recruited and followed for three months...
June 22, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28647688/antihypertensive-medication-adherence-and-risk-of-cardiovascular-disease-among-older-adults-a-population-based-cohort-study
#20
Quanhe Yang, Anping Chang, Matthew D Ritchey, Fleetwood Loustalot
BACKGROUND: Antihypertension medication (antihypertensive) adherence lowers risk of cardiovascular disease (CVD); few studies have examined this association among older adults. METHODS AND RESULTS: We assessed this association among Medicare fee-for-service beneficiaries aged 66 to 79 years who were newly diagnosed with hypertension and initiated on antihypertensives in 2008-2009 (n=155 597). We calculated proportion of days covered (PDC) during follow-up, using proportional subdistribution hazard models, to examine association between antihypertensive adherence and a composite CVD outcomes, including first incident of fatal/nonfatal acute myocardial infarction, ischemic heart disease, stroke/transient ischemic attack, and heart failure...
June 24, 2017: Journal of the American Heart Association
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