- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Safety Warnings and Signage
- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Stroke Rehabilitation and Recovery
- Injury Epidemiology and Prevention
- Pharmaceutical Practices and Patient Outcomes
- Urban Transport and Accessibility
- Advanced Statistical Process Monitoring
- Muscle activation and electromyography studies
- Occupational Health and Safety Research
- Optimal Experimental Design Methods
- Social Media in Health Education
- Technology Assessment and Management
- Patient Safety and Medication Errors
- AI in Service Interactions
- Smart Agriculture and AI
- Epilepsy research and treatment
- Clinical Reasoning and Diagnostic Skills
- Motor Control and Adaptation
- Spectroscopy and Chemometric Analyses
- Military Strategy and Technology
- Botulinum Toxin and Related Neurological Disorders
- Heart Rate Variability and Autonomic Control
Ben-Gurion University of the Negev
2015-2024
The Technological College of Beer Sheva
2015-2016
Software (Spain)
2011
Harvard University
2010
University of Miami
2009
Assaf Harofeh Medical Center
2009
Tel Aviv University
1994-2001
<h3>Objective</h3> To examine and compare the temporal trends in melanoma incidence stage at diagnosis among whites, Hispanics, blacks Florida from 1990 to 2004. <h3>Design</h3> Cross-sectional retrospective analysis. <h3>Setting</h3> Cancer Data System. <h3>Patients</h3> Melanoma cases with known race/ethnicity reported <h3>Main Outcome Measures</h3> Age-adjusted diagnosis. <h3>Results</h3> Of 41 072 of melanoma, 39 670 were for white non-Hispanics (WNHs), 1148 Hispanics (WHs), 254 blacks....
Low-resolution nuclear magnetic resonance (LR-NMR) relaxometry is a powerful tool that can be harnessed for characterizing constituents in complex materials. Conversion of the relaxation signal into continuous distribution components an ill-posed inverse Laplace transform problem. The most common numerical method implemented today dealing with this kind problem based on L2-norm regularization. However, sparse representation methods via L1 regularization and convex optimization are relatively...
A biomarker that will enable the identification of patients at high-risk for developing post-injury epilepsy is critically required. Microvascular pathology and related blood–brain barrier dysfunction neuroinflammation were shown to be associated with epileptogenesis after injury. Here we used prospective, longitudinal magnetic resonance imaging quantitatively follow in rats following status epilepticus, late electrocorticography identify epileptic animals post-mortem immunohistochemistry...
Identification and quantification of small RNAs are challenging because their short length, high sequence similarities within microRNA (miRNA) families, the existence miRNA isoforms O -methyl 3′ modifications. In this study, detection performance three high-throughput commercial platforms, Agilent Affymetrix microarrays Illumina next-generation sequencing, was systematically comprehensively compared. The ability to detect miRNAs shown depend strongly on platform modifications sequence. Using...
Background The extent to which the upper-limb flexor synergy constrains or compensates for arm motor impairment during reaching is controversial. This can be quantified with a minimal marker set describing movements of arm-plane. Objectives To determine whether and how (a) in patients chronic stroke contributes different workspace locations (b) deficits characterized by arm-plane motion. Methods Sixteen post-stroke 8 healthy control subjects made unrestrained targets located ipsilateral,...
Assigning lifelike qualities to robotic agents (Anthropomorphism) is associated with complex affective interpretations of their behavior. These anthropomorphized perceptions are traditionally elicited through robots' designs. Yet, aerial robots (or drones) present a special case due – non-anthropomorphic design, and prior research shows conflicting evidence on perception as either person-like, animal-like, or machine-like. In this work, we explore how people perceive drones in...
In an attempt to evaluate EEG changes associated with dementia in Parkinson's disease (PD), we performed frequency analysis three groups of 10 subjects each; two PD, and one normal control group. The PD patient were matched for age, sex, severity duration disease, but discordant the existence dementia. Normals age- sex-matched healthy volunteers. relative alpha amplitude was significantly decreased demented patients, unrelated motor disability. There a nonsignificant consistent trend...
1H low field nuclear magnetic resonance (LF-NMR) relaxometry has been suggested as a tool to distinguish between different molecular ensembles in complex systems with differential segmental or whole motion and/or morphologies. In biodiesel applications the structure versus liquid-phase packing morphologies of fatty acid methyl esters (FAMEs) influences physico-chemical characteristics fuel, including flow properties, operability during cold weather, blending, and more. Still, their liquid...
Three advanced natural interaction modalities for mobile robot guidance in an indoor environment were developed and compared using two tasks quantitative metrics to measure performance workload. The first modality is based on direct physical requiring the human user push order displace it. second third exploit a 3-D vision-based human-skeleton tracking allowing guide by either walking front of it or pointing toward desired location. In task, participants asked between different rooms...
Data on individual feed intake of dairy cows, an important variable for farm management, are currently unavailable in commercial dairies. A real-time machine vision system including models that able to adapt multiple types was developed predict cows. Using a Red-Green-Blue-Depth (RGBD) camera, images piles two different (lactating cows' and heifers' feed) were acquired research farm, range weights under varied configurations illuminations. Several intake: Transfer Learning (TL) based...