An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning.

Bi-directional search is a widely used strategy to increase the success and convergence rates of sampling-based motion planning algorithms. Yet, few results are available that merge both bi-directional search and asymptotic optimality into existing optimal planners, such as PRM*, RRT*, and FMT*. The objective of this paper is to fill this gap.

Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables.

The usage of decision support tools in emergency departments, based on predictive models, capable of estimating the probability of admission for patients in the emergency department may give nursing staff the possibility of allocating resources in advance. We present a methodology for developing and building one such system for a large specialized care hospital using a logistic regression and an artificial neural network model using nine routinely collected variables available right at the end of the triage process.A database of 255.

Fertility Intention, Son Preference, and Second Childbirth: Survey Findings from Shaanxi Province of China.

China is characterized by a low fertility intention, a strong preference for sons, as well as a stringent birth control policy. In this study, we used data from a Fertility Intention and Behavior Survey of 2101 questionnaires conducted in 2013 in Shaanxi Province of northwestern China, and event history analysis methods to examine the effect of fertility intention and preference for sons on the probability of having a second child. The results not only validate the correlation of fertility intention with having a second child empirically, even in the low fertility intention and stringent birth control context of China, but also show that women with a preference for sons were less likely to have a second child.

A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents.

Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's intention during the dialogue and uses this prediction to dynamically adapt the dialogue model of the system taking into consideration the user's needs and preferences. We have evaluated our proposal to develop a user-adapted spoken dialogue system that facilitates tourist information and services and provide a detailed discussion of the positive influence of our proposal in the success of the interaction, the information and services provided, and the quality perceived by the users.

Differential Features between Chronic Skin Inflammatory Diseases Revealed in Skin-Humanized Psoriasis and Atopic Dermatitis Mouse Models.

Psoriasis and atopic dermatitis are chronic and relapsing inflammatory diseases of the skin affecting a large number of patients worldwide. Psoriasis is characterized by a T helper type 1 and/or T helper type 17 immunological response, whereas acute atopic dermatitis lesions exhibit T helper type 2-dominant inflammation. Current single gene and signaling pathways-based models of inflammatory skin diseases are incomplete.

Liquid Crystal Microlenses for Autostereoscopic Displays.

Three-dimensional vision has acquired great importance in the audiovisual industry in the past ten years. Despite this, the first generation of autostereoscopic displays failed to generate enough consumer excitement. Some reasons are little 3D content and performance issues.

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems.

This paper proposes a statistical framework to develop user-adapted spoken dialog systems. The proposed framework integrates two main models. The first model is used to predict the user's intention during the dialog.

DE-based tuning of PI(λ)D(μ) controllers.

A new method that relies on evolutionary computation concepts is proposed in this paper to tune the parameters of fractional order PI(λ)D(μ) controllers, in which the orders of the integral and derivative parts, λ and μ, respectively, are fractional. The main advantage of the fractional order controllers is that the increase in the number of parameters in the controller allows an increase in the number of control specifications that can be met. A Differential Evolution (DE) algorithm is proposed to make the controlled system fulfill different design specifications in time and frequency domains.

From cumulative cultural transmission to evidence-based medicine: evolution of medicinal plant knowledge in Southern Italy.

In Mediterranean cultures written records of medicinal plant use have a long tradition. This written record contributed to building a consensus about what was perceived to be an efficacious pharmacopeia. Passed down through millennia, these scripts have transmitted knowledge about plant uses, with high fidelity, to scholars and laypersons alike.

Workload, time and costs of the informal cares in patients with tele-monitoring of pacemakers: the PONIENTE study.

Objectives: The purpose of this study was to assess the burden borne by and the costs to informal caregivers of patients with remotely monitored (RM) pacemakers.

Methods: The PONIENTE study was a controlled, non-randomised clinical trial, with data collected from informal caregivers, 12 months after implantation of pacemakers. The survey on disabilities, personal autonomy, and dependency situations was used to gather information on demographic and social characteristics, levels of professionalism, time and types of care, difficulties in providing care, health status, professional aspects, economic and family or leisure impacts due to informal caregiving for patients with pacemakers.

Kullback-Leibler Divergence-Based Differential Evolution Markov Chain Filter for Global Localization of Mobile Robots.

One of the most important skills desired for a mobile robot is the ability to obtain its own location even in challenging environments. The information provided by the sensing system is used here to solve the global localization problem. In our previous work, we designed different algorithms founded on evolutionary strategies in order to solve the aforementioned task.

Human Identification Using Compressed ECG Signals.

As a result of the increased demand for improved life styles and the increment of senior citizens over the age of 65, new home care services are demanded. Simultaneously, the medical sector is increasingly becoming the new target of cybercriminals due the potential value of users' medical information. The use of biometrics seems an effective tool as a deterrent for many of such attacks.

Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software.

Although emergency department visit forecasting can be of use for nurse staff planning, previous research has focused on models that lacked sufficient resolution and realistic error metrics for these predictions to be applied in practice. Using data from a 1100-bed specialized care hospital with 553,000 patients assigned to its healthcare area, forecasts with different prediction horizons, from 2 to 24 weeks ahead, with an 8-hour granularity, using support vector regression, M5P, and stratified average time-series models were generated with an open-source software package. As overstaffing and understaffing errors have different implications, error metrics and potential personnel monetary savings were calculated with a custom validation scheme, which simulated subsequent generation of predictions during a 4-year period.

Urinary Metabolomic Profiling Reveals the Effect of Shenfu Decoction on Chronic Heart Failure in Rats.

Shenfu decoction (SFD) can be used to treat patients with sign of Yangqi decline or Yang exhaustion related to chronic heart failure (CHF). We conducted a gas chromatography with time-of-flight mass spectrometer (GC/TOF-MS)-based metabolomic study to increase the understanding of CHF and assess the efficacies and mechanisms of SFD in treating CHF induced by coronary artery ligation in rats. Based on unsupervised principal component analysis, there was a clear separation between the CHF and sham surgery group, which revealed that CHF disturbed the metabolism of endogenous substances and significantly altered the urine metabolite fingerprints.

Acute respiratory distress syndrome after convalescent plasma use: treatment of a patient with Ebola virus disease contracted in Madrid, Spain.

Background: In the current epidemic of Ebola virus disease, health-care workers have been transferred to Europe and the USA for optimised supportive care and experimental treatments. We describe the clinical course of the first case of Ebola virus disease contracted outside of Africa, in Madrid, Spain.

Methods: Herein we report clinical, laboratory, and virological findings of the treatment of a female nurse assistant aged 44 years who was infected with Ebola virus around Sept 25-26, 2014, while caring for a Spanish missionary with confirmed Ebola virus disease who had been medically evacuated from Sierra Leone to La Paz-Carlos III University Hospital, Madrid.

High hepatitis C virus prevalence and incidence in a community cohort of young heroin injectors in a context of extensive harm reduction programmes.

Background: Cohort studies on hepatitis C virus (HCV) among drug injectors are scarcer than studies on HIV. Combined harm reduction interventions (HRIs) can prevent HCV infection. Spain has a medium-high coverage of HRIs.

Temperature-phase converter based on a LC cell as a variable capacitance.

The main characteristic of liquid crystals is that their properties, both electrical and optical, can be modified through a convenient applied signal, for instance a certain voltage. This tunable behavior of liquid crystals is directly related to the orientation of their nanometric components with respect to a director direction. However, the initial alignment is a fabrication-dependent parameter and may be either planar or homeotropic.

Legal and policy foundations for global generic competition: Promoting affordable drug pricing in developing societies.

The so-called 'TRIPS flexibilities' restated in 2001 by the World Trade Organization's Doha Declaration on TRIPS and Public Health offer a variety of policy avenues for promoting global price-based competition for essential medicines, and thus for improving access to affordable medicines in the developing world. In recent years, developing countries and international organisations alike have begun to explore the potentialities of global generic markets and competition generally, and also of using compulsory licensing to remedy anti-competitive practices (e.g.

Physics of beer tapping.

The popular bar prank known in colloquial English as beer tapping consists in hitting the top of a beer bottle with a solid object, usually another bottle, to trigger the foaming over of the former within a few seconds. Despite the trick being known for a long time, to the best of our knowledge, the phenomenon still lacks scientific explanation. Although it seems natural to think that shock-induced cavitation enhances the diffusion of CO2 from the supersaturated bulk liquid into the bubbles by breaking them up, the subtle mechanism by which this happens remains unknown.

A novel high-sensitivity, low-power, liquid crystal temperature sensor.

A novel temperature sensor based on nematic liquid crystal permittivity as a sensing magnitude, is presented. This sensor consists of a specific micrometric structure that gives considerable advantages from other previous related liquid crystal (LC) sensors. The analytical study reveals that permittivity change with temperature is introduced in a hyperbolic cosine function, increasing the sensitivity term considerably.

Using Cook's distance in polytomous logistic regression.

The previously unknown asymptotic distribution of Cook's distance in polytomous logistic regression is established as a linear combination of independent chi-square random variables with one degree of freedom. An exhaustive approach to the analysis of influential covariates is developed and a new measure for the accuracy of predictions based on such a distribution is provided. Two examples with real data sets (one with continuous covariates and the other with both qualitative and quantitative covariates) are presented to illustrate the approach developed.

Directional Scattering of Semiconductor Nanoparticles Embedded in a Liquid Crystal.

Light scattering by semiconductor nanoparticles has been shown to be more complex than was believed until now. Both electric and magnetic responses emerge in the visible range. In addition, directional effects on light scattering of these nanoparticles were recently obtained.

Liquid Crystal Lensacons, Logarithmic and Linear Axicons.

Until now, several attempts have been made to obtain axicons by using liquid crystals. Previous results had always a considerable deviation from the linear response and the resulting aperture is square. In addition, classical fabrications methods are expensive and only produce fixed phase profiles.

Simulation of Waveforms of a Ferrite Inductor with Saturation and Power Losses.

We propose a model of an equivalent electrical circuit specifically designed for a ferrite inductor excited by a sinusoidal waveform. The purpose of this model is its use in a circuit simulator. We calculate the model parameters by means of Finite Elements in 2D which leads to significant computational advantages over the 3D model.