1,406 research outputs found
Anomalous diffusivity and electric conductivity for low concentration electrolytes in nanopores
The dynamic properties of electrolytes in nanopores were studied using the equilibrium and non-equilibrium molecular dynamic simulations. The realistic primitive model and the restrictive primitive models that were widely used in liquid state theory were applied to the electrolyte model. The electrolytic ions that were found to be immersed in the water were treated as dielectric continuum or macroscopic dielectric continuum. Simulation studies for the discrete solvent primitive model were performed and detailed analysis of the characteristics of the ion radial density functions was done.published_or_final_versio
A cost-effective digital forensic investigation model
Computers operate at discrete points in time and hence digital traces are discrete events in temporal logic that re°ect the occurrence of computer processes. From the perspective of a digital investigation, it is the duty of digital investigators or forensic examiners to retrieve digital traces so as to prove or to refute the alleged computer acts. Given the resource constraints of most organizations and the limited time-frame available for the examination, it is not always feasible or indeed necessary for forensic examiners to retrieve all the related digital traces and to conduct a thorough digital forensic analysis. It is therefore the aim of this paper to propose a model that can o®er swift and practical digital examination in a cost-effective manner.postprin
The Effectiveness and Sustainability of a Universal School-Based Programme for Preventing Depression in Chinese Adolescents: A Follow-Up Study Using Quasi-Experimental Design
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Evaluation of a Digital Game-Based Learning Program for Enhancing Youth Mental Health: A Structural Equation Modeling of the Program Effectiveness
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Population Factors Affecting Initial Diffusion Patterns of H1N1
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Maintaining hard disk integrity with digital legal professional privilege (LPP) data
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An Early Warning System for Detecting H1N1 Disease Outbreak - A Spatio-temporal Approach
The outbreaks of new and emerging infectious diseases in recent decades have caused widespread social and economic disruptions in the global economy. Various guidelines for pandemic influenza planning are based upon traditional infection control, best practice and evidence. This article describes the development of an early warning system for detecting disease outbreaks in the urban setting of Hong Kong, using 216 confirmed cases of H1N1 influenza from 1 May 2009 to 20 June 2009. The prediction model uses two variables – daily influenza cases and population numbers – as input to the spatio-temporal and stochastic SEIR model to forecast impending disease cases. The fairly encouraging forecast accuracy metrics for the 1- and 2-day advance prediction suggest that the number of impending cases could be estimated with some degree of certainty. Much like a weather forecast system, the procedure combines technical and scientific skills using empirical data but the interpretation requires experience and intuitive reasoning.postprin
Effects of geographic scale on population factors in acute disease diffusion analysis
Objective To explore socio-demographic data of the population as proxies for risk factors in disease transmission modeling at different geographic scales. Methods Patient records of confirmed H1N1 influenza were analyzed at three geographic aggregation levels together with population census statistics. Results The study confirmed that four population factors were related in different degrees to disease incidence, but the results varied according to spatial resolution. The degree of association actually decreased when data of a higher spatial resolution were used. Conclusions We concluded that variables at suitable spatial resolution may be useful in improving the predictive powers of models for disease outbreaks.published_or_final_versio
Use of interferon gamma release assay to assess latent tuberculosis infection among healthcare workers in Hong Kong
Key Messages
1. Overall baseline interferon gamma release assay positivity was 20.7%.
2. The conversion to interferon gamma release assay positivity at 3 months was 8.85% in the exposed group and 4.54% in the non-exposed group using the conventional cut-off of 0.35 IU/mL.
3. When grey zone results (0.2I-0.7 IU/mL) were included, the proportion of non-specific conversions and reversions could be reduced.
4. Interferon gamma release assay can be an adjunct tool in contact investigation of latent tuberculosis infection in healthcare workers.published_or_final_versio
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Evidence of a structural quantum critical point in (CaxSr1-x)3Rh4Sn13 from a lattice dynamics study
Approaching a quantum critical point (QCP) has been an effective route to
stabilize superconductivity. While the role of magnetic QCPs has been
extensively discussed, similar exploration of a structural QCP is scarce due to
the lack of suitable systems with a continuous structural transition that can
be conveniently tuned to 0~K. Using inelastic X-ray scattering, we examine the
phonon spectrum of the nonmagnetic quasi-skutterudite
(CaSr)RhSn, which represents a precious system to
explore the interplay between structural instabilities and superconductivity by
tuning the Ca concentration . We unambiguously detect the softening of
phonon modes around the M point on cooling towards the structural transition.
Intriguingly, at , the soft mode energy squared at the M point
extrapolates to zero at ~K, providing the first compelling
microscopic evidence of a structural QCP in
(CaSr)RhSn. The enhanced phonon density-of-states
at low energy provides the essential ingredient for realizing strong-coupling
superconductivity near the structural QCP
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