96 research outputs found

    Magnetically Recoverable Silica-Decorated Ferromagnetic-Nanoceria Nanocatalysts and Their Use with

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    Silica-decorated ferrite nanoparticles, a new kind, coated with ceric ammonium nitrate (CAN), have been prepared successfully by simple coprecipitation techniques. Powder X-ray diffraction spectroscopy (PXRD), Fourier transform-infrared spectroscopy (FT-IR), field emission-scanning electron microscope (FE-SEM), wavelength-dispersive X-ray spectroscopy (WDX), energy-dispersive spectroscopy (EDS), inductive coupled plasma-optical emission spectroscopy (ICP-OES), and thermogravimetric analysis (TGA) techniques were used to characterize these nanoparticles. The catalysts are further studied for catalytic activity in solvent-free conditions. Importantly, these nanoparticles have been collected from the reaction mixture using an external magnet and recycled up to minimum of 15 cycles with no substantial loss of catalytic characteristics

    Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy

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    We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referred to as cross-frequency coupling and apply it to electrophysiological recordings from the brain to infer cross-frequency coupling. The current metrics used to quantify the cross-frequency coupling in neuroscience cannot detect if two frequency components in non-Gaussian brain recordings are statistically independent or not. Our MI-in-frequency metric, based on Shannon's mutual information between the Cramer's representation of stochastic processes, overcomes this shortcoming and can detect statistical dependence in frequency between non-Gaussian signals. We then describe two data-driven estimators of MI-in-frequency: one based on kernel density estimation and the other based on the nearest neighbor algorithm and validate their performance on simulated data. We then use MI-in-frequency to estimate mutual information between two data streams that are dependent across time, without making any parametric model assumptions. Finally, we use the MI-in- frequency metric to investigate the cross-frequency coupling in seizure onset zone from electrocorticographic recordings during seizures. The inferred cross-frequency coupling characteristics are essential to optimize the spatial and spectral parameters of electrical stimulation based treatments of epilepsy.Comment: This paper is accepted for publication in IEEE Transactions on Signal Processing and contains 15 pages, 9 figures and 1 tabl

    How Can Flaxseed be Utilized as Functional Food

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    Although vegetables and fruits are unquestionably important components of food, incorporating herbs and spices into one’s diet has become a must to improve one’s health in today’s world. Due to rising popularity among health-conscious consumers, studies on functional foods such as herbs are a growing field in food science. Flaxseed (Linum Usitatissimum L.), which comes from the flax plant, an annual herb, is gaining interest as a functional food ingredient due to its high levels of alpha-linolenic acid (ALA), lignans, and fiber. Flaxseed consumption in the diet helps to prevent serious illnesses such as heart disease, cancer, diabetes, obesity, gastrointestinal, renal, and bone problems. Type II diabetes, in particular, is one of the great healthcare challenges of the twenty-first century, as it has engulfed children, adolescents, and young adults alike. While standard risk factors for type II diabetes are genetics, living style, and behavioral aspects, this article focuses on preventing or controlling the disease through dietary changes. To the best of our knowledge, review articles on the commercial use of flaxseed in the formulation of numerous food products with low glycemic index and their impact on diabetes are hardly available. The data from the previous 5 years is used to compile this report

    Immunity Boosting Health Drink Mixes: A Patent Based Review

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    357-369Health drink mixes are granulated or powdered beverages that require little effort to reconstitute before utilization. They have been used for a long time as flavor enhancers in beverages.From traditional drink mixes to the latest; their ingredients have been served clearly in this article. The changing ingredients focus on the fact that now they are not seen as only taste enhancers because researches have brought them to a new level. A literature study revealed that along with the use of nutritious ingredients, efforts have been made to reduce artificial sweeteners, preservatives, colors, and flavors in them. But many more improvements are yet to be done.The aim of this systematic review is a detailed study of thecomposition of health drink mixes and giving ideas about advancement in health drink mixes for health freaks that need to be sound through wholesome products especially forimmunity boosting.Since patent-based data is the most reliable and comprehensive, this analysis focuses on patents from the previous years that strive to boost immunity through the use of a variety of plant-based substances in the production of health drink mixes

    Immunity Boosting Health Drink Mixes: A Patent Based Review

    Get PDF
    Health drink mixes are granulated or powdered beverages that require little effort to reconstitute before utilization. They have been used for a long time as flavor enhancers in beverages.From traditional drink mixes to the latest; their ingredients have been served clearly in this article. The changing ingredients focus on the fact that now they are not seen as only taste enhancers because researches have brought them to a new level. A literature study revealed that along with the use of nutritious ingredients, efforts have been made to reduce artificial sweeteners, preservatives, colors, and flavors in them. But many more improvements are yet to be done.The aim of this systematic review is a detailed study of the composition of health drink mixes and giving ideas about advancement in health drink mixes for health freaks that need to be sound through wholesome products especially for immunity boosting.Since patent-based data is the most reliable and comprehensive, this analysis focuses on patents from the previous years that strive to boost immunity through the use of a variety of plant-based substances in the production of health drink mixes

    Binding Pattern Determination Of Class of Antifungal Drugs

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    Crystal Structure of cytochrome p450 2B4 has 476 amino acids, through docking approach we have attempted to explain the specificity of CYP2B4, total 28 imidazole drug were used for the studies as antifungal drugs in which bound bifonazole (reference) shows the binding energy of -8.67 kcal/mol .Compound Miconazole shows the minimum binding energy of -10.45 kcal/mol. The 2B4-bifonazole structure identified 10 residues (ALA 298, GLY 299, GLU 301, THR 302, ILE 363, VAL 292) within 6.5 Å of the active site of bifonazole. GLU 301, THR 302 are also located in 6.5 Å of the bound ligand in 2B4 structure. Due to the presence of the multiple binding substrates in cytochrome p450, it acts as the major target of many drugs in xenobiotic metabolism.
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    Endogenous Fluctuations in Cortical State Selectively Enhance Different Modes of Sensory Processing in Human Temporal Lobe

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    The degree of synchronized fluctuations in neocortical network activity can vary widely during alertness. One influential idea that has emerged over the past few decades is that perceptual decisions are more accurate when the state of population activity is desynchronized. This suggests that optimal task performance may occur during a particular cortical state - the desynchronized state. Here we show that, contrary to this view, cortical state can both facilitate and suppress perceptual performance in a task-dependent manner. We performed electrical recordings from surface-implanted grid electrodes in the temporal lobe while human subjects completed two perceptual tasks. We found that when local population activity is in a synchronized state, network and perceptual performance are enhanced in a detection task and impaired in a discrimination task, but these modulatory effects are reversed when population activity is desynchronized. These findings indicate that the brain has adapted to take advantage of endogenous fluctuations in the state of neural populations in temporal cortex to selectively enhance different modes of sensory processing during perception in a state-dependent manner

    Magnetite-Supported Montmorillonite (K10) (Nanocat-Fe-Si-K10): An Efficient Green Catalyst for Multicomponent Synthesis of Amidoalkyl Naphthol†

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    Montmorillonite (K10) loaded on magnetite silica-coated nanoparticles was made using simple co-precipitation methods. The prepared nanocat-Fe-Si-K10 was analyzed using some techniques including field emission-scanning electron microscopy (FE-SEM), inductive coupling plasma-optical emission spectroscopy (ICP-OES), X-ray diffraction (XRD), thermo-gravimetric analysis (TGA), Fourier transmission-infrared spectra (FT-IR), energy dispersive X-ray spectroscopy (EDS), and wavelength-dispersive spectroscopy (WDX). The catalytic activity of the synthesized nanocat-Fe-Si-K10 has been examined in one-pot multicomponent transformations for the synthesis of 1-amidoalkyl 2-naphthol derivatives under solvent-free conditions. Nanocat-Fe-Si-K10 was determined to be very active, having the ability to be reused 15 times without significant loss of catalytic activity. The suggested technique has several advantages, including excellent yield, minimum reaction time, a straightforward workup, and catalyst recycling, all of which are essential green synthetic aspects

    The Spatiotemporal Dynamics of Semantic Integration in the Human Brain

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    Language depends critically on the integration of lexical information across multiple words to derive semantic concepts. Limitations of spatiotemporal resolution have previously rendered it difficult to isolate processes involved in semantic integration. We utilized intracranial recordings in epilepsy patients (n = 58) who read written word definitions. Descriptions were either referential or non-referential to a common object. Semantically referential sentences enabled high frequency broadband gamma activation (70-150 Hz) of the inferior frontal sulcus (IFS), medial parietal cortex, orbitofrontal cortex (OFC) and medial temporal lobe in the left, language-dominant hemisphere. IFS, OFC and posterior middle temporal gyrus activity was modulated by the semantic coherence of non-referential sentences, exposing semantic effects that were independent of task-based referential status. Components of this network, alongside posterior superior temporal sulcus, were engaged for referential sentences that did not clearly reduce the lexical search space by the final word. These results indicate the existence of complementary cortical mosaics for semantic integration in posterior temporal and inferior frontal cortex
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