A Hybrid-Powered Wireless System for Multiple Biopotential Monitoring

Chronic diseases are the top cause of human death in the United States and worldwide. A huge amount of healthcare costs is spent on chronic diseases every year. The high medical cost on these chronic diseases facilitates the transformation from in-hospital to out-of-hospital healthcare. The out-of-hospital scenarios require comfortability and mobility along with quality healthcare. Wearable electronics for well-being management provide good solutions for out-of-hospital healthcare. Long-term health monitoring is a practical and effective way in healthcare to prevent and diagnose chronic diseases. Wearable devices for long-term biopotential monitoring are impressive trends for out-of-hospital health monitoring. The biopotential signals in long-term monitoring provide essential information for various human physiological conditions and are usually used for chronic diseases diagnosis. This study aims to develop a hybrid-powered wireless wearable system for long-term monitoring of multiple biopotentials. For the biopotential monitoring, the non-contact electrodes are deployed in the wireless wearable system to provide high-level comfortability and flexibility for daily use. For providing the hybrid power, an alternative mechanism to harvest human motion energy, triboelectric energy harvesting, has been applied along with the battery to supply energy for long-term monitoring. For power management, an SSHI rectifying strategy associated with triboelectric energy harvester design has been proposed to provide a new perspective on designing TEHs by considering their capacitance concurrently. Multiple biopotentials, including ECG, EMG, and EEG, have been monitored to validate the performance of the wireless wearable system. With the investigations and studies in this project, the wearable system for biopotential monitoring will be more practical and can be applied in the real-life scenarios to increase the economic benefits for the health-related wearable devices

May 18th, 2017

In the Big Data era, graph processing has been widely used to represent complex system structure, capture data dependency and uncover relationship insights. Due to the ever-growing graph scale and algorithm complexity, several distributed graph processing frameworks have attracted many interests from both academia and industry. In this talk, I will investigate how to achieve the trade-off between performance and cost for large scale graph processing on the Cloud. System-aware and machine learning models are developed to predict the performance of distributed graph processing tasks. Consequently, cost-efficient resource provisioning strategies could be recommended by selecting a certain number of VMs with specified capability subject to the predefined resource price and user preference. At the end of this talk, I will briefly introduce our recent projects on urban computing, disease simulation and social network analytics based on graph processing and real world data

Protein sliding and hopping kinetics on DNA

Using Monte-Carlo simulations, we deconvolved the sliding and hopping kinetics of GFP-LacI proteins on elongated DNA from their experimentally observed seconds-long diffusion trajectories. Our simulations suggest the following results: (1) in each diffusion trajectory, a protein makes on average hundreds of alternating slides and hops with a mean sliding time of several tens of ms; (2) sliding dominates the root mean square displacement of fast diffusion trajectories, whereas hopping dominates slow ones; (3) flow and variations in salt concentration have limited effects on hopping kinetics, while in vivo DNA configuration is not expected to influence sliding kinetics; furthermore, (4) the rate of occurrence for hops longer than 200 nm agrees with experimental data for EcoRV proteins

Labor Unions and Occupational Safety: Event-Study Analysis Using Union Elections

This study examines the dynamic relationship between union elections and occupational safety among manufacturing establishments. Data on union elections come from the National Labor Relations Board, and data on workplace inspections and accident case rates come from the Occupational Safety and Health Administration. The results indicate that union elections improved occupational safety. First, workplace inspections trended upwards before the election, then decreased immediately after the election, due almost entirely to employee complaints. Second, accident case rates were relatively stable before the election, then trended downwards after the election, due to accidents involving days away from work, job restrictions, and job transfers. These effects are evident regardless of the election outcome. Based on the value of statistical injury, the improvement in occupational safety is equivalent to an increase in the hourly wage between $0.47 and$2.62

Revisiting the Merits of a Mandatory Large Group Classroom Learning Format: an MD-MBA Perspective

The role of classroom learning in medical education is rapidly changing. To promote active learning and reduce student stress, medical schools have adopted policies such as pass/fail curriculums and recorded lectures. These policies along with the rising importance of the USMLE (United States Medical Licensing Examination) exams have made asynchronous learning popular to the detriment of classroom learning. In contrast to this model, modern day business schools employ mandatory large group classes with assigned seating and cold-calling. Despite similar student demographics, medical and business schools have adopted vastly different approaches to the classroom. When examining the classroom dynamic at business schools with mandatory classes, it is evident that there’s an abundance of engaging discourse and peer learning objectives that medical schools share. Mandatory classes leverage the network effect just like social media forums such as Facebook and Twitter. That is, the value of a classroom discussion increases when more students are present to participate. At a time when students are savvy consumers of knowledge, the classroom is competing against an explosion of study aids dedicated to USMLE preparation. Certainly, the purpose of medical school is not solely about the efficient transfer of knowledge – but to train authentic, competent, and complete physicians. To accomplish this, we must promote the inimitable and deeply personal interactions amongst faculty and students. When viewed through this lens, mandatory classes might just be a way for medical schools to leverage their competitive advantage in educating the complete physician

Method and apparatus for conducting structural health monitoring in a cryogenic, high vibration environment

Sensors affixed to various such structures, where the sensors can withstand, remain affixed, and operate while undergoing both cryogenic temperatures and high vibrations. In particular, piezoelectric single crystal transducers are utilized, and these sensors are coupled to the structure via a low temperature, heat cured epoxy. This allows the transducers to monitor the structure while the engine is operating, even despite the harsh operating conditions. Aspects of the invention thus allow for real time monitoring and analysis of structures that operate in conditions that previously did not permit such analysis. A further aspect of the invention relates to use of piezoelectric single crystal transducers. In particular, use of such transducers allows the same elements to be used as both sensors and actuators

Engaging Art through Internet: A Study of Marketing Strategy for Chinese Arts E-Commerce

48 pagesThe Chinese government is currently pursuing an "Internet Plus" action plan that seeks to drive economic growth through the integration of internet technology into manufacturing and business. With the rise of the internet and e-commerce, there has been a rapid increase in online sales of Chinese art. Despite the importance and influence of the internet in the art market, China is still inexperienced in arts e-commerce, and the country’s e-commerce is too “new” to have much success in targeting buyers. Although China is still in the initial stages of art e-commerce development, many art trading websites are springing up, which further fuels the development of the art market. In this thesis, the author analyzes the current marketing strategies used by art trading websites and proposes development strategies and suggestions in order to further develop art e-commerce in China