Vacancy-ordered halide perovskites have received great interest in optoelectronic applications. In this work, we report the novel inorganic halide CsMnSbCl with a distinctive 10H (10-layer hexagonal) perovskite polytype structure with (hcccc) stacking. CsMnSbCl has 30% B-site vacancies ordered at both corner- and face-sharing sites, resulting in [MnSbCl] columns, i.
View Article and Find Full Text PDFTwo-dimensional (2D) organic-inorganic hybrid copper halide perovskites have drawn tremendous attention as promising multifunctional materials. Herein, by incorporating -, -, and -chlorine substitutions in the benzylamine structure, we first report the influence of positional isomerism on the crystal structures of chlorobenzylammonium copper(II) chloride perovskites ACuCl. 2D polar ferromagnets (3-ClbaH)CuCl and (4-ClbaH)CuCl (ClbaH = chlorobenzylammonium) are successfully obtained.
View Article and Find Full Text PDFWe present the influence of positional isomerism on the crystal structure of fluorobenzylammonium copper(II) chloride perovskites ACuCl by incorporating , -, and -fluorine substitution in the benzylamine structure. Two-dimensional (2D) polar ferromagnet (3-FbaH)CuCl (3-FbaH = 3-fluorobenzylammonium) is successfully obtained, which crystallizes in a polar orthorhombic space group 2 at room temperature. In contrast, both (2-FbaH)CuCl (2-FbaH = 2-fluorobenzylammonium) and (4-FbaH)CuCl (4-FbaH = 4-fluorobenzylammonium) crystallize in centrosymmetric space groups 2/ and at room temperature, respectively, displaying significant differences in crystal structures.
View Article and Find Full Text PDFBackground: Gait difficulties in Parkinson's disease have been related to problems shifting the center of gravity forward. We previously showed reduced forward stepping latencies for people with Parkinson's disease after one session of adaptation to upward visual shifts, which produces downward motor after-effects and potentially shifts the center of gravity forward. Here we tested if repeated prism adaptation improved gait and postural control in Parkinson's disease through a parallel, double-blind, randomized, sham-controlled trial.
View Article and Find Full Text PDFWe present three new hybrid copper(II) chloride layered perovskites of generic composition ACuCl or ACuCl, which exhibit three distinct structure types. (-PdH)CuCl (-PdH = protonated -phenylenediamine) adopts a Dion-Jacobson (DJ)-like layered perovskite structure type and exhibits a very large axial thermal contraction effect upon heating, as revealed via variable-temperature synchrotron X-ray powder diffraction (SXRD). This can be attributed to the contraction of an interlayer block, via a slight repositioning of the -PdH moiety.
View Article and Find Full Text PDFParkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms and loss of dopaminergic neurons of the substantia nigra. Inflammation and cell death are recognized aspects of PD suggesting that strategies to monitor and modify these processes may improve the management of the disease. Inflammasomes are pro-inflammatory intracellular pattern recognition complexes that couple these processes.
View Article and Find Full Text PDFA family of hybrid Perovskite-oxalates ("Perovzalates") of general composition ALiM(CO) (A = K, Rb, Cs; M = Fe, Co, Ni) are presented. All eight new compounds are isostructural with the previously reported examples NHLiFe(CO) and KLiFe(CO), crystallising in the rhombohedral space group R3[combining macron]c, with a∼11.3-11.
View Article and Find Full Text PDFThe title compound is the first example of a layered fluoroperovskite containing an interlayer organic cation. Preliminary magnetic characterisation is reported, and structural relationships to related layered perovskites are discussed.
View Article and Find Full Text PDFNeuroinflammation is a well-characterized pathophysiology occurring in association with the progression of Parkinson's disease. Characterizing the cellular and molecular basis of neuroinflammation is critical to understanding its impact on the incidence and progression of PD and other neurologic disorders. Inflammasomes are intracellular pro-inflammatory pattern-recognition receptors capable of initiating and propagating inflammation.
View Article and Find Full Text PDFBackground: Recognizing the factors associated with falling in Parkinson's disease (PD) would improve identification of at-risk individuals.
Objective: To examine frequency of falling and baseline characteristics associated with falling in PD using the National Institute of Neurological Disorders and Stroke (NINDS) Exploratory Trials in PD Long-term Study-1 (NET-PD LS-1) dataset.
Methods: The LS-1 database included 1741 early treated PD subjects (median 4year follow-up).
For spintronic devices excited by a sudden magnetic or optical perturbation, the torque acting on the magnetization plays a key role in its precession and damping. However, the torque itself can be a dynamical quantity via the time-dependent anisotropies of the system. A challenging problem for applications is then to disentangle the relative importance of various sources of anisotropies in the dynamical torque, such as the dipolar field, the crystal structure or the shape of the particular interacting magnetic nanostructures.
View Article and Find Full Text PDFAutoantibodies to the voltage-gated potassium channel (VGKC) complex cause a spectrum of non-paraneoplastic neurologic syndromes including limbic encephalitis (LE). We report a case of a man with LE who underwent a course of therapeutic plasma exchange (TPE) in addition to other immunomodulatory therapies and experienced sustained clinical resolution of his symptoms. This report adds to the existing literature supporting TPE in cases of LE due to VGKC complex autoantibodies.
View Article and Find Full Text PDFTo elucidate the cortical control of handwriting, we examined time-dependent statistical and correlational properties of simultaneously recorded 64-channel electroencephalograms (EEGs) and electromyograms (EMGs) of intrinsic hand muscles. We introduced a statistical method, which offered advantages compared to conventional coherence methods. In contrast to coherence methods, which operate in the frequency domain, our method enabled us to study the functional association between different neural regions in the time domain.
View Article and Find Full Text PDFParkinson disease (PD) is a common complex neurodegenerative disorder with an underlying genetic etiology that has been difficult to dissect. Although some PD risk genes have been discovered, most of the underlying genetic etiology remains unknown. To further elucidate the genetic component, we have undertaken a genome-wide linkage screen in an isolated founder population of Amish living in the Midwestern United States.
View Article and Find Full Text PDFAm J Med Genet B Neuropsychiatr Genet
July 2010
Hierarchical clustering is frequently used for grouping results in expression or haplotype analyses. These methods can elucidate patterns between measures that can then be applied to discerning their validity in discriminating between experimental conditions. Here a hierarchical clustering method is used to analyze the results of an imaging genetics study using multiple brain morphology and cognitive testing endpoints for older adults with amnestic mild cognitive impairment (MCI) or cognitive complaints (CC) compared to healthy controls (HC).
View Article and Find Full Text PDFWe demonstrate that the thermal response of uncalibrated atomic force microscope cantilevers can be used to extract the density and the viscosity of viscous liquids with good accuracy. Temperature dependent thermal noise spectra were measured in water/poly(ethylene glycol) mixtures. Empirical parameters characteristic of the resonance behavior of the system were extracted from data recorded for one of the solutions at room temperature.
View Article and Find Full Text PDFBackground: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions.
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