153 research outputs found

    The use of the Infection and Treatment Method vaccine in controlling East Coast Fever in Kenya: Does gender matter for adoption and impact?

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    United States Agency for International DevelopmentInternal Revie

    Impact of emotional states on the effective range of electric vehicles

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    Over the last decade, a large interest in reducing transportation dependence on fossil fuels as well as the cost reduction in battery technologies, have driven the electric cars market uptake. However, information is scarce about factors that affect the driving range. Besides the battery’s capacity, other factors may affect the overall vehicle’s range, for instance: driving behavior, fluctuations in temperature, number of battery cycles, etc. Accordingly, this paper proposes an approach to evaluate the impact of emotions and driving behavior on the range of electric cars using physiological signals and vehicle performance features. This work was developed in three stages. During the first stage, the heart rate and galvanic skin response of 20 volunteers were recorded from biosensors. The vehicle’s data was obtained from a driving simulator. Afterward, the driving profile was used as an input source to simulate an object-oriented electric vehicle model to estimate the driving range. Finally, during the third stage, feature selection techniques and subject-dependent classifiers were evaluated using metrics such as the accuracy and the area under the curve. Support-vector machines with radial kernel and tree-bagged models provided the best global performance with the bio-signals and driving performance subsets to discriminate between calm and aggressive driving. Results showed that driving behavior could be evaluated from physiological and vehicle features. Furthermore, the subjects’ statements showed that users’ beliefs, thoughts, and prior social contexts influence the way they perceive driving behavior. Reductions in the range of up to 68% when driving aggressively compared to a calm manner were found. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature

    Detection and Analysis of ERPs for Social Cognition Evaluation

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    This paper describes an approach for elicitation, acquisition, and analysis of event-related potentials (ERPs) for social cognition evaluation. We used images of emotional content that were classified into three groups according to their valence: pleasant, unpleasant, and neutral. An application for stimuli generation based on the emotional oddball paradigm (EOP) was developed, and a commercial wireless EEG headset was used for signal acquisition. The ERPs of 13 volunteers for the three types of stimuli were obtained and analyzed to extract the N100 and P300 components. The results show increased amplitudes in ERP components due to unpleasant stimuli and longer latencies observed in neutral stimuli. © 2022 IEEE

    Comprehensive Review of Distracted Driving Programs in the United States

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    With advances in technology throughout the course of time, distracted driving is at an all-time high in the United States. Even with high numbers, distraction is likely underreported because the behavior is difficult to detect during crash investigation, and police reports likely understate its incidents. According to NHTSA’s newest analysis of 2021 fatal crash data, fatalities in distraction-affected crashes increased by 12% from 2020 to 2021, a total of 8.2% of all fatalities reported. The impact of distracted driving has recently worsened. A study estimated distraction was involved in 29% of all crashes by observing driver behavior in the real world in 2019. The purpose of this study is 1) to understand the safety performance of distracted driving in the State of Florida; 2) to investigate state laws across the nation to understand the policies and programs that combat distracted driving

    Peptide-Based Scaffolds Support Human Cortical Progenitor Graft Integration to Reduce Atrophy and Promote Functional Repair in a Model of Stroke

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    Stem cell transplants offer significant hope for brain repair following ischemic damage. Pre-clinical work suggests that therapeutic mechanisms may be multi-faceted, incorporating bone-fide circuit reconstruction by transplanted neurons, but also protection/regeneration of host circuitry. Here, we engineered hydrogel scaffolds to form "bio-bridges" within the necrotic lesion cavity, providing physical and trophic support to transplanted human embryonic stem cell-derived cortical progenitors, as well as residual host neurons. Scaffolds were fabricated by the self-assembly of peptides for a laminin-derived epitope (IKVAV), thereby mimicking the brain's major extracellular protein. Following focal ischemia in rats, scaffold-supported cell transplants induced progressive motor improvements over 9 months, compared to cell- or scaffold-only implants. These grafts were larger, exhibited greater neuronal differentiation, and showed enhanced electrophysiological properties reflective of mature, integrated neurons. Varying graft timing post-injury enabled us to attribute repair to both neuroprotection and circuit replacement. These findings highlight strategies to improve the efficiency of stem cell grafts for brain repair
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