4,651 research outputs found

    AoA-aware Probabilistic Indoor Location Fingerprinting using Channel State Information

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    With expeditious development of wireless communications, location fingerprinting (LF) has nurtured considerable indoor location based services (ILBSs) in the field of Internet of Things (IoT). For most pattern-matching based LF solutions, previous works either appeal to the simple received signal strength (RSS), which suffers from dramatic performance degradation due to sophisticated environmental dynamics, or rely on the fine-grained physical layer channel state information (CSI), whose intricate structure leads to an increased computational complexity. Meanwhile, the harsh indoor environment can also breed similar radio signatures among certain predefined reference points (RPs), which may be randomly distributed in the area of interest, thus mightily tampering the location mapping accuracy. To work out these dilemmas, during the offline site survey, we first adopt autoregressive (AR) modeling entropy of CSI amplitude as location fingerprint, which shares the structural simplicity of RSS while reserving the most location-specific statistical channel information. Moreover, an additional angle of arrival (AoA) fingerprint can be accurately retrieved from CSI phase through an enhanced subspace based algorithm, which serves to further eliminate the error-prone RP candidates. In the online phase, by exploiting both CSI amplitude and phase information, a novel bivariate kernel regression scheme is proposed to precisely infer the target's location. Results from extensive indoor experiments validate the superior localization performance of our proposed system over previous approaches

    Remote sensing of snow using bistatic radar reflectometry

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    Snow and ice processes are a critical part of the Earth’s hydrological and climate cycles. These processes can serve as an important source of fresh water as well as a cause of flooding. Various missions have been proposed by NASA and ESA for the purpose of remote sensing of snow. This research looks at applying bistatic radar reflectometry to the remote sensing of snow water equivalent. The resulting phase offset from changes in optical path length due to reflection through snow are the primary measurements made. The research uses data from a field campaign in Fraser, CO, involving an instrument collecting direct and reflected from S band during Jan 2015 – Apr 2015. Phase measurements from the field data are made from the two signals and compared to theoretical phase computed from a forward model using in situ data. A moderate correlation (\u3e0.6) is found between the measured and modeled phase

    Training-to-Beat bioreactor for investigating Engineered Cardiac Tissues: design, development & validation

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    In last the decades, advances relevant to the generation of 3D Engineered Cardiac Tissues (ECTs) have been made. In reason of this, ECTs are now considered a great promise for in vitro studies of cardiac development, disease and, eventually, for strategies for the repair of the structure and function of the injured myocardium. Among the several physical stimuli which have been exploited to improve the functionality and maturation of ECTs, a preeminent role has been ascribed to mechanical stimulation. Appropriate mechanical stimulation can be recreated and maintained within bioreactors, which are devices/platforms devoted to mimic the physiological milieu in a monitored/controlled culture environment, where the engineered constructs can be properly stimulated. One main limitation of the bioreactor-based strategy for cardiac tissue engineering applications is that the devices which are currently used are meant to passively apply to ECTs a stimulus predefined by the user, regardless of their level of maturation along the duration of the in vitro culture. In this scenario, and trying to overcome current limitations, a novel bioreactor design has been conceived for the investigation of 3D ECTs with a biomimetic approach. Technically, the here proposed bioreactor is capable (1) to apply native-like or pathologic mechanical stimuli (cyclic strain) by means of a reliable linear actuator operating in a wide range of strains and frequencies, and (2) to monitor in real-time both chemo-physical parameters (e.g. oxygen tension, pH) of the milieu and the mechanical stiffness of ECTs by means of dedicated sensors, eventually adapting the stimulation to the actual stage of maturation of the constructs. As a proof of concept, a first experimental campaign has been carried out with a double aim: (1) to verify the bioreactor feasibility in delivering mechanical cyclical stimulation to 3D fibrin-based, ring shaped Engineered Cardiac Tissues (ECTs); (2) to assess the effect of cyclic strain on tissue maturation, contractility and modification on its mechanical properties. In detail, the bioreactor platform has been preliminarily tested to verify protocols for hold on, sterilization, and control of the delivered mechanical stimuli. Firstly, the suitability of the bioreactor platform in culturing ad-hoc designed constructs, in terms of ease of use and capability in setting the stimulation parameters, has been tested. Then, the observed maturation of ring shaped ECTs subject to sinusoidal cyclic strain within the bioreactor has confirmed the potency of the proposed approach and the instrumental role of mechanical stimulation in ECTs maturation and in the development of an adult-like cardiac phenotype responsive to electrical excitation. Even if further validation steps are required before the implementation of culture strategy fully adaptive in terms of mechanical stimuli applied to the engineered cardiac constructs, the developed bioreactor represents a valuable proof of concept for, in its most advanced operational mode, biomimetic culturing of engineered cardiac constructs

    Seeing the Invisibles:Detection of Peptide Enantiomers, Diastereomers, and Isobaric Ring Formation in Lanthipeptides Using Nanopores

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    Mass spectrometry (MS) is widely used in proteomic analysis but cannot differentiate between molecules with the same mass-to-charge ratio. Nanopore technology might provide an alternative method for the rapid and cost-effective analysis and sequencing of proteins. In this study, we demonstrate that nanopore currents can distinguish between diastereomeric and enantiomeric differences in l- and d-peptides, not observed by conventional MS analysis, down to individual d-amino acids in small opioid peptides. Molecular dynamics simulations suggest that similar to chiral chromatography the resolution likely arises from multiple chiral interactions during peptide transport across the nanopore. Additionally, we used nanopore recordings to rapidly assess 4- and 11-amino acid ring formation in lanthipeptides, a process used in the synthesis of pharmaceutical peptides. The cyclization step requires distinguishing between constitutional isomers, which have identical MS signals and typically involve numerous tedious experiments to confirm. Hence, nanopore technology offers new possibilities for the rapid and cost-effective analysis of peptides, including those that cannot be easily differentiated by mass spectrometry.</p
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