23 research outputs found

    Developing a Comprehensive Pesticide Health Effects Tracking System for an Urban Setting: New York City’s Approach

    Get PDF
    In recent years, there have been substantial investments and improvements in federal and state surveillance systems to track the health effects from pesticide exposure. These surveillance systems help to identify risk factors for occupational exposure to pesticides, patterns in poisonings, clusters of disease, and populations at risk of exposure from pesticide use. Data from pesticide use registries and recent epidemiologic evidence pointing to health risks from urban residential pesticide use make a strong case for understanding better the sale, application, and use of pesticides in cities. In this article, we describe plans for the development of a pesticide tracking system for New York City that will help to elucidate where and why pesticides are used, potential risks to varied populations, and the health consequences of their use. The results of an inventory of data sources are presented along with a description of their relevance to pesticide tracking. We also discuss practical, logistical, and methodologic difficulties of linking multiple secondary data sources with different levels of person, place, and time descriptors

    XAI: Using Smart Photobooth for Explaining History of Art

    Get PDF
    The rise of Artificial Intelligence has led to advancements in daily life, including applications in industries, telemedicine, farming, and smart cities. It is necessary to have human-AI synergies to guarantee user engagement and provide interactive expert knowledge, despite AI’s success in "less technical" fields. In this article, the possible synergies between humans and AI to explain the development of art history and artistic style transfer are discussed. This study is part of the "Smart Photobooth" project that is able to automatically transform a user’s picture into a well-known artistic style as an interactive approach to introduce the fundamentals of the history of art to the common people and provide them with a concise explanation of the various art painting styles. This study investigates human-AI synergies by combining the explanation produced by an explainable AI mechanism with a human expert’s insights to provide reasons for school students and a larger audience

    Mutation in \u3ci\u3eATG5\u3c/i\u3e reduces autophagy and leads to ataxia with developmental delay

    Get PDF
    Autophagy is required for the homeostasis of cellular material and is proposed to be involved in many aspects of health. Defects in the autophagy pathway have been observed in neurodegenerative disorders; however, no genetically-inherited pathogenic mutations in any of the core autophagy-related (ATG) genes have been reported in human patients to date. We identified a homozygous missense mutation, changing a conserved amino acid, in ATG5 in two siblings with congenital ataxia, mental retardation, and developmental delay. The subjects’ cells display a decrease in autophagy flux and defects in conjugation of ATG12 to ATG5. The homologous mutation in yeast demonstrates a 30-50% reduction of induced autophagy. Flies in which Atg5 is substituted with the mutant human ATG5 exhibit severe movement disorder, in contrast to flies expressing the wild-type human protein. Our results demonstrate the critical role of autophagy in preventing neurological diseases and maintaining neuronal health

    Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Project

    Get PDF
    peer reviewedThe advent of Artificial Intelligence (AI) has brought about significant changes in our daily lives with applications including industry, smart cities, agriculture, and telemedicine. Despite the successes of AI in other "less-technical" domains, human-AI synergies are required to ensure user engagement and provide interactive expert knowledge. This is notably the case of applications related to art since the appreciation and the comprehension of art is considered to be an exclusively human capacity. This paper discusses the potential human-AI synergies aiming at explaining the history of art and artistic style transfer. This work is done in the context of the "Smart Photobooth" a project which runs within the AI & Art pavilion. The latter is a satellite event of Esch2022 European Capital of Culture whose main aim is to reflect on AI and the future of art. The project is mainly an outreach and knowledge dissemination project, it uses a smart photo-booth, capable of automatically transforming the user's picture into a well-known artistic style (e.g., impressionism), as an interactive approach to introduce the principles of the history of art to the open public and provide them with a simple explanation of different art painting styles. Whereas some of the cuttingedge AI algorithms can provide insights on what constitutes an artistic style on the visual level, the information provided by human experts is essential to explain the historical and political context in which the style emerged. To bridge this gap, this paper explores Human-AI synergies in which the explanation generated by the eXplainable AI (XAI) mechanism is coupled with insights from the human expert to provide explanations for school students as well as a wider audience. Open issues and challenges are also identified and discussed

    Mutation in \u3ci\u3eATG5\u3c/i\u3e reduces autophagy and leads to ataxia with developmental delay

    Get PDF
    Autophagy is required for the homeostasis of cellular material and is proposed to be involved in many aspects of health. Defects in the autophagy pathway have been observed in neurodegenerative disorders; however, no genetically-inherited pathogenic mutations in any of the core autophagy-related (ATG) genes have been reported in human patients to date. We identified a homozygous missense mutation, changing a conserved amino acid, in ATG5 in two siblings with congenital ataxia, mental retardation, and developmental delay. The subjects’ cells display a decrease in autophagy flux and defects in conjugation of ATG12 to ATG5. The homologous mutation in yeast demonstrates a 30-50% reduction of induced autophagy. Flies in which Atg5 is substituted with the mutant human ATG5 exhibit severe movement disorder, in contrast to flies expressing the wild-type human protein. Our results demonstrate the critical role of autophagy in preventing neurological diseases and maintaining neuronal health
    corecore