4,944 research outputs found
Amnestic Mild Cognitive Impairment and Early Alzheimer's Disease in an Asian Memory Clinic – Evidence for a Clinical Spectrum
Objectives: To determine if mild cognitive impairment (MCI) represents a continuum of cognitive and functional deficits. Methods: Clinical data of 164 subjects with no dementia (ND, n = 52), uncertain dementia (n = 69), and mild probable Alzheimer’s disease (AD, n = 43) were reviewed. Uncertain dementia patients were classified as pre-MCI (n = 11), early amnestic MCI (e-aMCI, n = 15) and late amnestic MCI (l-aMCI, n = 15). Cognitive assessments [Chinese Mini-Mental State Examination (CMMSE) and a validated neuropsychological battery], functional assessments (Lawton’s scale for instrumental activities of daily living) and neuroimaging (ischemic lesions and medial temporal lobe atrophy) were reviewed. Results: ND, aMCI and mild AD subjects demonstrated a significant trend for worsening performance for all cognitive and functional measures (ANOVA, p Conclusions: Clinical delineation of aMCI allows the differentiation of those likely to progress for better correlation to biomarker development
Multivariate dynamic kernels for financial time series forecasting
The final publication is available at http://link.springer.com/chapter/10.1007/978-3-319-44781-0_40We propose a forecasting procedure based on multivariate dynamic kernels, with the capability of integrating information measured at different frequencies and at irregular time intervals in financial markets. A data compression process redefines the original financial time series into temporal data blocks, analyzing the temporal information of multiple time intervals. The analysis is done through multivariate dynamic kernels within support vector regression. We also propose two kernels for financial time series that are computationally efficient without a sacrifice on accuracy. The efficacy of the methodology is demonstrated by empirical experiments on forecasting the challenging S&P500 market.Peer ReviewedPostprint (author's final draft
The Use of Colorful Semantics to Improve Sentence Construction in Writing Sentences Among Year Four Pupils
This action research was set out to develop pupils' writing skill using colorful semantics. The main two objectives established from the outset were to develop pupils' sentence construction and improve my teaching practice in sentence construction teaching respectively. As the researcher, I conducted this classroom action research to 31 pupils which comprised 17 males and 14 females of Year 4J of SJK(C) Cheng Siu 2 in Malaysia. The data was gathered through pre- writing test and post- writing test, pupils' work as well as teacher's reflective journal. Over the course of four weeks, I introduced colorful semantics to my pupils in accordance to the sequence of ‘who', ‘what doing', ‘what' and ‘where'. As can be induced from the findings, colorful semantics was statistically significant to pupils' sentence construction through the enhancement of pupils' ability to understand words of each sentence part and also to write sentence in the correct order. The findings also depicted that utilization of colorful semantics improved my teaching practice to become a reflective, passionate, and motivational teacher. Therefore, the positive results warrant further research into colorful semantics with suggestions to integrate Information, Communication, and Technology (ICT) into lessons and expose pupils to more sentence types
Effect of sodium hypochlorite on microleakage of composite restorations bonded with a polyalkenoic containing adhesive system
Abstract no. 905published_or_final_versio
Quantum limited particle sensing in optical tweezers
Particle sensing in optical tweezers systems provides information on the
position, velocity and force of the specimen particles. The conventional
quadrant detection scheme is applied ubiquitously in optical tweezers
experiments to quantify these parameters. In this paper we show that quadrant
detection is non-optimal for particle sensing in optical tweezers and propose
an alternative optimal particle sensing scheme based on spatial homodyne
detection. A formalism for particle sensing in terms of transverse spatial
modes is developed and numerical simulations of the efficacy of both quadrant
and spatial homodyne detection are shown. We demonstrate that an order of
magnitude improvement in particle sensing sensitivity can be achieved using
spatial homodyne over quadrant detection.Comment: Submitted to Biophys
Origin of ferromagnetism in (Zn,Co)O from magnetization and spin-dependent magnetoresistance
In order to elucidate the nature of ferromagnetic signatures observed in
(Zn,Co)O we have examined experimentally and theoretically magnetic properties
and spin-dependent quantum localization effects that control low-temperature
magnetoresistance. Our findings, together with a through structural
characterization, substantiate the model assigning spontaneous magnetization of
(Zn,Co)O to uncompensated spins at the surface of antiferromagnetic nanocrystal
of Co-rich wurtzite (Zn,Co)O. The model explains a large anisotropy observed in
both magnetization and magnetoresistance in terms of spin hamiltonian of Co
ions in the crystal field of the wurtzite lattice.Comment: 6 pages, 6 figure
The rigidity of periodic body-bar frameworks on the three-dimensional fixed torus
We present necessary and sufficient conditions for the generic rigidity of
body-bar frameworks on the three-dimensional fixed torus. These frameworks
correspond to infinite periodic body-bar frameworks in with a
fixed periodic lattice.Comment: 31 pages, 12 figure
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