Bioterrorism

Serum mannan-binding lectin in patients with pulmonary tuberculosis: Its lack of a relationship to the disease and response to treatment.

Lectin pathway mediates complement activation, which is activated by many microorganisms. This study aimed at determining the serum levels of mannose-binding lectin (MBL) in patients with pulmonary tuberculosis, assessing its relationship to antiuberculosis treatment response, and comparing them with a control group. This cross-sectional study was conducted on patients with pulmonary tuberculosi...

Holographic deep learning for rapid optical screening of anthrax spores.

Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous studies for decades, the limited sensitivity of conventional biochemical methods essentially requires preprocessing steps and thus has limitations to be used in realistic settings of biological warfare. We present an optical method for rapid and label-free screening of spores through the synergistic ...

Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns.

The interaction of social networks with the external environment gives rise to non-stationary activity patterns reflecting the temporal structure and ...

Treadmill vs. overground walking: different response to physical interaction.

Rehabilitation of human motor function is an issue of growing significance, and human-interactive robots offer promising potential to meet the need. F...

Onset of luteolytic action of exogenous prostaglandinF-2α during estrous cycle in goats.

The objectives of these two experiments were to determine the day of onset of luteolysis after exogenous PGF-2α administration during the estrous cycl...

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.

We present a framework for combining a cardiac motion atlas with non-motion data. The atlas represents cardiac cycle motion across a number of subject...

Using machine learning to model dose-response relationships.

RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies...

Classifying Response Correctness across Different Task Sets: A Machine Learning Approach.

Erroneous behavior usually elicits a distinct pattern in neural waveforms. In particular, inspection of the concurrent recorded electroencephalograms ...

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, ...

Anti-IgG-anchored liquid crystal microdroplets for label free detection of IgG.

The orientational variation of 4-cyano-4'-pentyl biphenyl (5CB) molecules in LC microdroplets in response to IgG antigen (IgG) interactions has been u...

A Matter of Perspective: Comparison of the Characteristics of Persons with HIV Infection in the United States from the HIV Outpatient Study, Medical Monitoring Project, and National HIV Surveillance System.

Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the United States (US) captured in surveillance and other o...

A graph-based N-body approximation with application to stochastic neighbor embedding.

We propose a novel approximation technique, bubble approximation (BA), for repulsion forces in an N-body problem, where attraction has a limited range...

Functional connectivity correlates of response inhibition impairment in anorexia nervosa.

Anorexia nervosa (AN) is a disorder characterized by high levels of cognitive control and behavioral perseveration. The present study aims at explorin...

Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response.

Zebrafish larvae display a rapid and characteristic swimming behaviour after abrupt light onset or offset. This light-induced locomotor response (LLR)...

Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors.

Anthrax is a highly lethal, acute infectious disease caused by the rod-shaped, Gram-positive bacterium Bacillus anthracis. The anthrax toxin lethal fa...

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by l...

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.

Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become a standard component of diagnosis and staging in o...

Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing.

Language production requires selection of the appropriate sentence structure to accommodate the communication goal of the speaker - the transmission o...

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explicit hypotheses made to simplify the analysis. In thi...

An integrated Taguchi and response surface methodological approach for the optimization of an HPLC method to determine glimepiride in a supersaturatable self-nanoemulsifying formulation.

We studied the application of Taguchi orthogonal array (TOA) design during the development of an isocratic stability indicating HPLC method for glimep...