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https://www.readbyqxmd.com/read/28912157/approaching-the-ground-truth-revealing-the-functional-organization-of-human-multisensory-stc-using-ultra-high-field-fmri
#1
Francesco Gentile, Nienke van Atteveldt, Federico De Martino, Rainer Goebel
Integrating inputs across sensory systems is a property of the brain that is vitally important in everyday life. More than two decades of fMRI research have revealed crucial insights on multisensory processing, yet the multisensory operations at the neuronal level in humans have remained largely unknown. Understanding the fine-scale spatial organization of multisensory brain regions is fundamental to shed light on their neuronal operations. Monkey electrophysiology revealed that the bimodal superior temporal cortex (bSTC) is topographically organized according to the modality preference (visual, auditory and bimodal) of its neurons...
September 14, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28780230/self-assembly-phase-behaviour-and-structural-behaviour-as-observed-by-scattering-for-classical-and-non-classical-microemulsions
#2
REVIEW
Sylvain Prévost, Michael Gradzielski, Thomas Zemb
In this review, we discuss the conditions for forming microemulsions, systems which are thermodynamically stable mixtures of oil and water made stable by the presence of an interfacial film containing surface active molecules. There are several types of microemulsions, depending largely on the stiffness of the amphiphilic monolayer that separates the oily and the aqueous micro-domain. We first discuss and compare the phase behaviour of these different types, starting from the classical microemulsion made from a flexible surfactant film but then also moving on to less classical situations: this occurs when the interfacial film is stiff or when microemulsions are formed in the absence of a classical surfactant...
July 18, 2017: Advances in Colloid and Interface Science
https://www.readbyqxmd.com/read/28699731/in-situ-grown-s-nanosheets-on-cu-foam-an-ultrahigh-electroactive-cathode-for-room-temperature-na-s-batteries
#3
Bin-Wei Zhang, Yun-Dan Liu, Yun-Xiao Wang, Lei Zhang, Ming-Zhe Chen, Wei-Hong Lai, Shu-Lei Chou, Hua-Kun Liu, Shi-Xue Dou
Room-temperature sodium-sulfur batteries are competitive candidates for large-scale stationary energy storage because of their low price and high theoretical capacity. Herein, pure S nanosheet cathodes can be grown in situ on three-dimensional Cu foam substrate with the condensation between binary polymeric binders, serving as a model system to investigate the formation and electrochemical mechanism of unique S nanosheets on the Cu current collectors. On the basis of the confirmed conversion reactions to Na2S, The constructed cathode exhibits ultrahigh initial discharge/charge capacity of 3189/1403 mAh g(-1)...
July 17, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28660575/lipid-identification-by-untargeted-tandem-mass-spectrometry-coupled-with-ultra-high-pressure-liquid-chromatography
#4
Gabriel B Gugiu
Lipidomics refers to the large-scale study of lipids in biological systems (Wenk, Nat Rev Drug Discov 4(7):594-610, 2005; Rolim et al., Gene 554(2):131-139, 2015). From a mass spectrometric point of view, by lipidomics we understand targeted or untargeted mass spectrometric analysis of lipids using either liquid chromatography (LC) (Castro-Perez et al., J Proteome Res 9(5):2377-2389, 2010) or shotgun (Han and Gross, Mass Spectrom Rev 24(3):367-412, 2005) approaches coupled with tandem mass spectrometry. This chapter describes the former methodology, which is becoming rapidly the preferred method for lipid identification owing to similarities with established omics workflows, such as proteomics (Washburn et al...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28607052/efficient-ultra-high-affinity-chromatography-in-a-one-step-purification-of-complex-proteins
#5
Marina N Vassylyeva, Sergiy Klyuyev, Alexey D Vassylyev, Hunter Wesson, Zhuo Zhang, Matthew B Renfrow, Hengbin Wang, N Patrick Higgins, Louise T Chow, Dmitry G Vassylyev
Protein purification is an essential primary step in numerous biological studies. It is particularly significant for the rapidly emerging high-throughput fields, such as proteomics, interactomics, and drug discovery. Moreover, purifications for structural and industrial applications should meet the requirement of high yield, high purity, and high activity (HHH). It is, therefore, highly desirable to have an efficient purification system with a potential to meet the HHH benchmark in a single step. Here, we report a chromatographic technology based on the ultra-high-affinity (Kd ∼ 10(-14)-10(-17) M) complex between the Colicin E7 DNase (CE7) and its inhibitor, Immunity protein 7 (Im7)...
June 27, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28396293/the-impact-of-ultra-high-field-mri-on-cognitive-and-computational-neuroimaging
#6
Federico De Martino, Essa Yacoub, Valentin Kemper, Michelle Moerel, Kamil Uludag, Peter De Weerd, Kamil Ugurbil, Rainer Goebel, Elia Formisano
The ability to measure functional brain responses non-invasively with ultra high field MRI (7 T and above) represents a unique opportunity in advancing our understanding of the human brain. Compared to lower fields (3 T and below), ultra high field MRI has an increased sensitivity, which can be used to acquire functional images with greater spatial resolution, and greater specificity of the blood oxygen level dependent (BOLD) signal to the underlying neuronal responses. Together, increased resolution and specificity enable investigating brain functions at a submillimeter scale, which so far could only be done with invasive techniques...
April 7, 2017: NeuroImage
https://www.readbyqxmd.com/read/28373404/precancer-atlas-to-drive-precision-prevention-trials
#7
Avrum Spira, Matthew B Yurgelun, Ludmil Alexandrov, Anjana Rao, Rafael Bejar, Kornelia Polyak, Marios Giannakis, Ali Shilatifard, Olivera J Finn, Madhav Dhodapkar, Neil E Kay, Esteban Braggio, Eduardo Vilar, Sarah A Mazzilli, Timothy R Rebbeck, Judy E Garber, Victor E Velculescu, Mary L Disis, Douglas C Wallace, Scott M Lippman
Cancer development is a complex process driven by inherited and acquired molecular and cellular alterations. Prevention is the holy grail of cancer elimination, but making this a reality will take a fundamental rethinking and deep understanding of premalignant biology. In this Perspective, we propose a national concerted effort to create a Precancer Atlas (PCA), integrating multi-omics and immunity - basic tenets of the neoplastic process. The biology of neoplasia caused by germline mutations has led to paradigm-changing precision prevention efforts, including: tumor testing for mismatch repair (MMR) deficiency in Lynch syndrome establishing a new paradigm, combinatorial chemoprevention efficacy in familial adenomatous polyposis (FAP), signal of benefit from imaging-based early detection research in high-germline risk for pancreatic neoplasia, elucidating early ontogeny in BRCA1-mutation carriers leading to an international breast cancer prevention trial, and insights into the intricate germline-somatic-immunity interaction landscape...
April 1, 2017: Cancer Research
https://www.readbyqxmd.com/read/28371584/ultrasmall-ferrite-nanoparticles-synthesized-via-dynamic-simultaneous-thermal-decomposition-for-high-performance-and-multifunctional-t1-magnetic-resonance-imaging-contrast-agent
#8
Huan Zhang, Li Li, Xiao Li Liu, Ju Jiao, Cheng-Teng Ng, Jia Bao Yi, Yan E Luo, Boon-Huat Bay, Ling Yun Zhao, Ming Li Peng, Ning Gu, Hai Ming Fan
Large-scale synthesis of monodisperse ultrasmall metal ferrite nanoparticles as well as understanding the correlations between chemical composition and MR signal enhancement is critical for developing next-generation, ultrasensitive T1 magnetic resonance imaging (MRI) nanoprobes. Herein, taking ultrasmall MnFe2O4 nanoparticles (UMFNPs) as a model system, we report a general dynamic simultaneous thermal decomposition (DSTD) strategy for controllable synthesis of monodisperse ultrasmall metal ferrite nanoparticles with sizes smaller than 4 nm...
April 25, 2017: ACS Nano
https://www.readbyqxmd.com/read/28282850/fully-printed-flexible-single-chip-rfid-tag-with-light-detection-capabilities
#9
Aniello Falco, Jose F Salmerón, Florin C Loghin, Paolo Lugli, Almudena Rivadeneyra
A printed passive radiofrequency identification (RFID) tag in the ultra-high frequency band for light and temperature monitoring is presented. The whole tag has been manufactured by printing techniques on a flexible substrate. Antenna and interconnects are realized with silver nanoparticles via inkjet printing. A sprayed photodetector performs the light monitoring, whereas temperature measurement comes from an in-built sensor in the silicon RFID chip. One of the advantages of this system is the digital read-out and transmission of the sensors information on the RFID tag that ensures reliability...
March 8, 2017: Sensors
https://www.readbyqxmd.com/read/28269558/a-110-nw-in-channel-sigma-delta-converter-for-large-scale-neural-recording-implants
#10
M Rezaei, E Maghsoudloo, M Sawan, B Gosselin
Advancement in wireless and microsystems technology have ushered in new devices that can directly interface with the central nervous system for stimulating and/or monitoring neural circuitry. In this paper, we present an ultra low-power sigma-delta analog-to-digital converter (ADC) intended for utilization into large-scale multi-channel neural recording implants. This proposed design, which provides a resolution of 9 bits using a one-bit oversampled ADC, presents several desirable features that allow for an in-channel ADC scheme, where one sigma-delta converter is provided for each channel, enabling development of scalable systems that can interface with different types of high-density neural microprobes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227813/a-110-nw-in-channel-sigma-delta-converter-for-large-scale-neural-recording-implants
#11
M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin
Advancement in wireless and microsystems technology have ushered in new devices that can directly interface with the central nervous system for stimulating and/or monitoring neural circuitry. In this paper, we present an ultra low-power sigma-delta analog-to-digital converter (ADC) intended for utilization into large-scale multi-channel neural recording implants. This proposed design, which provides a resolution of 9 bits using a one-bit oversampled ADC, presents several desirable features that allow for an in-channel ADC scheme, where one sigma-delta converter is provided for each channel, enabling development of scalable systems that can interface with different types of high-density neural microprobes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28168253/electrochemical-micro-nano-machining-principles-and-practices
#12
REVIEW
Dongping Zhan, Lianhuan Han, Jie Zhang, Quanfeng He, Zhao-Wu Tian, Zhong-Qun Tian
Micro/nano-machining (MNM) is becoming the cutting-edge of high-tech manufacturing because of the increasing industrial demand for supersmooth surfaces and functional three-dimensional micro/nano-structures (3D-MNS) in ultra-large scale integrated circuits, microelectromechanical systems, miniaturized total analysis systems, precision optics, and so on. Taking advantage of no tool wear, no surface stress, environmental friendliness, simple operation, and low cost, electrochemical micro/nano-machining (EC-MNM) has an irreplaceable role in MNM...
February 7, 2017: Chemical Society Reviews
https://www.readbyqxmd.com/read/28157956/tdm-interrogation-of-intensity-modulated-usfbgs-network-based-on-multichannel-lasers
#13
Jalal Rohollahnejad, Li Xia, Rui Cheng, Yanli Ran, Udaya Rahubadde, Jiaao Zhou, Lin Zhu
We report a large-scale multi-channel fiber sensing network, where ultra-short FBGs (USFBGs) instead of conventional narrow-band ultra-weak FBGs are used as the sensors. In the time division multiplexing scheme of the network, each grating response is resolved as three adjacent discrete peaks. The central wavelengths of USFBGs are tracked with the differential detection, which is achieved by calculating the peak-to-peak ratio of two maximum peaks. Compared with previous large-scale hybrid multiplexing sensing networks (e...
January 23, 2017: Optics Express
https://www.readbyqxmd.com/read/27881881/spintronic-nanodevices-for-bioinspired-computing
#14
Julie Grollier, Damien Querlioz, Mark D Stiles
Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable computing systems. Applications span from automatic classification for big data management, through unmanned vehicle control, to control for biomedical prosthesis. However, one of the major challenges of fabricating bioinspired hardware is building ultra-high-density networks out of complex processing units interlinked by tunable connections. Nanometer-scale devices exploiting spin electronics (or spintronics) can be a key technology in this context...
October 2016: Proceedings of the IEEE
https://www.readbyqxmd.com/read/27868222/adaptive-partitioning-by-local-density-peaks-an-efficient-density-based-clustering-algorithm-for-analyzing-molecular-dynamics-trajectories
#15
Song Liu, Lizhe Zhu, Fu Kit Sheong, Wei Wang, Xuhui Huang
We present an efficient density-based adaptive-resolution clustering method APLoD for analyzing large-scale molecular dynamics (MD) trajectories. APLoD performs the k-nearest-neighbors search to estimate the density of MD conformations in a local fashion, which can group MD conformations in the same high-density region into a cluster. APLoD greatly improves the popular density peaks algorithm by reducing the running time and the memory usage by 2-3 orders of magnitude for systems ranging from alanine dipeptide to a 370-residue Maltose-binding protein...
January 30, 2017: Journal of Computational Chemistry
https://www.readbyqxmd.com/read/27807979/low-voltage-continuous-electrospinning-patterning
#16
Xia Li, Zhaoying Li, Liyun Wang, Guokun Ma, Fanlong Meng, Robyn H Pritchard, Elisabeth L Gill, Ye Liu, Yan Yan Shery Huang
Electrospinning is a versatile technique for the construction of microfibrous and nanofibrous structures with considerable potential in applications ranging from textile manufacturing to tissue engineering scaffolds. In the simplest form, electrospinning uses a high voltage of tens of thousands volts to draw out ultrafine polymer fibers over a large distance. However, the high voltage limits the flexible combination of material selection, deposition substrate, and control of patterns. Prior studies show that by performing electrospinning with a well-defined "near-field" condition, the operation voltage can be decreased to the kilovolt range, and further enable more precise patterning of fibril structures on a planar surface...
November 30, 2016: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/27774377/shifting-the-sun-solar-spectral-conversion-and-extrinsic-sensitization-in-natural-and-artificial-photosynthesis
#17
Lothar Wondraczek, Esa Tyystjärvi, Jorge Méndez-Ramos, Frank A Müller, Qinyuan Zhang
Solar energy harvesting is largely limited by the spectral sensitivity of the employed energy conversion system, where usually large parts of the solar spectrum do not contribute to the harvesting scheme, and where, of the contributing fraction, the full potential of each photon is not efficiently used in the generation of electrical or chemical energy. Extrinsic sensitization through photoluminescent spectral conversion has been proposed as a route to at least partially overcome this problem. Here, we discuss this approach in the emerging context of photochemical energy harvesting and storage through natural or artificial photosynthesis...
December 2015: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
https://www.readbyqxmd.com/read/27743356/high-throughput-analysis-of-the-igg-n-glycome-by-uplc-flr
#18
Maja Pučić-Baković
As biological and clinical relevance of glycosylation is becoming more apparent, interest in large scale studies of the glycome is growing. Glycans attached to immunoglobulin G (IgG) were shown to be essential for its function and IgG glycosylation was shown to change with various processes, making IgG one of the most studied glycoproteins. Many approaches including liquid chromatography, capillary gel electrophoresis, and mass spectrometry were developed to study IgG glycosylation. Generation of high-quality glycomics data in a high-throughput fashion requires reproducible and robust sample preparation and accurate and reliable quantitative analysis...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27732887/attention-reorganizes-connectivity-across-networks-in-a-frequency-specific-manner
#19
Soyoung Kwon, Masataka Watanabe, Elvira Fischer, Andreas Bartels
Attention allows our brain to focus its limited resources on a given task. It does so by selective modulation of neural activity and of functional connectivity (FC) across brain-wide networks. While there is extensive literature on activity changes, surprisingly few studies examined brain-wide FC modulations that can be cleanly attributed to attention compared to matched visual processing. In contrast to prior approaches, we used an ultra-long trial design that avoided transients from trial onsets, included slow fluctuations (<0...
January 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/27729529/fast-fmri-can-detect-oscillatory-neural-activity-in-humans
#20
Laura D Lewis, Kawin Setsompop, Bruce R Rosen, Jonathan R Polimeni
Oscillatory neural dynamics play an important role in the coordination of large-scale brain networks. High-level cognitive processes depend on dynamics evolving over hundreds of milliseconds, so measuring neural activity in this frequency range is important for cognitive neuroscience. However, current noninvasive neuroimaging methods are not able to precisely localize oscillatory neural activity above 0.2 Hz. Electroencephalography and magnetoencephalography have limited spatial resolution, whereas fMRI has limited temporal resolution because it measures vascular responses rather than directly recording neural activity...
October 25, 2016: Proceedings of the National Academy of Sciences of the United States of America
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