Symptom Search: Predicting Symptom and Product Correlations using FDA Adverse Effects Reports

Prescription and over-the-counter drugs are abundant now more than ever, and many people use them on a regular basis. These drugs come with a variety of side e↵ects, ranging from common to very rare. However, the symptoms listed on drug packaging might not be the only symptoms that a consumer might experience when taking a specific drug. When experiencing a symptom, consumers might think they have a disease, turn to the Web for answers, and attempt to diagnose themselves when a disease is not necessarily the cause. Instead, these symptoms might be reactions to medications; however, the first thought that people have when experiencing a symptom is that they most likely have a disease. This often hinders us from thinking of alternative solutions. In addition, people often take multiple drugs simultaneously, which makes pinpointing the source of a bad reaction or unexpected symptom increasingly difficult. These factors make it challenging to locate the true source of a symptom. Our product, Symptom Search, is a tool that assists in this search for answers. Symptom Search uses FDA Adverse Effects Report data and machine learning to provide users with a method to search for potential root causes of their symptoms. Our system conveys how likely given drugs are correlated with given symptoms, and it suggests other products that could be triggering symptoms or reactions based on other users’ interactions with the products

Low-Power Wireless for the Internet of Things: Standards and Applications: Internet of Things, IEEE 802.15.4, Bluetooth, Physical layer, Medium Access Control,coexistence, mesh networking, cyber-physical systems, WSN, M2M

International audienceThe proliferation of embedded systems, wireless technologies, and Internet protocols have enabled the Internet of Things (IoT) to bridge the gap between the virtual and physical world through enabling the monitoring and actuation of the physical world controlled by data processing systems. Wireless technologies, despite their offered convenience, flexibility, low cost, and mobility pose unique challenges such as fading, interference, energy, and security, which must be carefully addressed when using resource-constrained IoT devices. To this end, the efforts of the research community have led to the standardization of several wireless technologies for various types of application domains depending on factors such as reliability, latency, scalability, and energy efficiency. In this paper, we first overview these standard wireless technologies, and we specifically study the MAC and physical layer technologies proposed to address the requirements and challenges of wireless communications. Furthermore, we explain the use of these standards in various application domains, such as smart homes, smart healthcare, industrial automation, and smart cities, and discuss their suitability in satisfying the requirements of these applications. In addition to proposing guidelines to weigh the pros and cons of each standard for an application at hand, we also examine what new strategies can be exploited to overcome existing challenges and support emerging IoT applications

Effects of Self-Esteem and Guardian’s Parenting Style(s) on Future Parenting Styles

This study examined the correlations between an individual\u27s guardian\u27s parenting style, the individual\u27s self esteem, and the individual\u27s future parenting style. Parenting styles were categorized according to Baumrind\u27s three parenting styles: authoritarian, authoritative, and permissive (1966). The Parental Authority Questionnaire was used to determine both past and future parenting styles, and the Rosenberg Self Esteem Scale was used to determine self-esteem levels. As of the writing of this abstract, the results of our study have not been analyzed. More information will be available closer to the date of Senior Scholars