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Full-Text Articles in Physical Sciences and Mathematics
Building And Optimizing A Spectroelectrochemical System For The Study Of Shewanella Putrefaciens, Jonathan Muscolino
Building And Optimizing A Spectroelectrochemical System For The Study Of Shewanella Putrefaciens, Jonathan Muscolino
Master's Theses
Shewanellaceae are among the most widely studied electroactive microorganisms. This study reports on Shewanella putrefaciens under anaerobic conditions during applied potential while monitored by spectroscopy. The attachment of the microbe Shewanella putrefaciens onto an indium tin oxide electrode was found to occur after 2 hr of +0.2 V applied potential. Microbial detachment occurred with a 5 mV/s scan rate cyclic voltammogram from +0.2 V to -0.5 V to +0.2 V. This was confirmed through use of a spectroelectrochemical apparatus utilizing a standard 3 electrode setup with evanescent wave spectroscopy.
Metrics Dashboard Services: A Framework For Analyzing Free/Open Source Team Repositories, Fnu Shilpika
Metrics Dashboard Services: A Framework For Analyzing Free/Open Source Team Repositories, Fnu Shilpika
Master's Theses
Software engineering as practiced today (especially in the industry) is no longer about the stereotypical monolithic life cycle processes (e.g. waterfall, spiral, etc.) found in most software engineering textbooks. These heavyweight methods historically have impeded progress for small/medium sized development teams owing to their inherent complexity and rather limited data collection strategies that predominated the 1980s until relatively recently in the mid-2000s. The discipline and practice of software engineering includes software quality, which has an established theoretical foundation for doing software metrics. Software metrics are a critical tool which provide continuous insight to products and processes and help build reliable …
Activity Recognition For Incomplete Spinal Cord Injury Subjects Using Hidden Markov Models, Pichleap Sok
Activity Recognition For Incomplete Spinal Cord Injury Subjects Using Hidden Markov Models, Pichleap Sok
Master's Theses
Successful activity recognition in patients with motor disabilities can improve patient care by providing researchers and clinicians with valuable information on patient movements and quality of life in real-world settings. Understanding the everyday activities of patients is important for rehabilitation. For researchers, having convenient, objective, and continuous data can drastically improve outcome measures to better compare therapies, and ultimately make recommendations. For clinicians, individual assessment of compliance and outcomes outside the clinic can be more objective, permitting much more tailored recommendations to patients. Most importantly, for individual patients, activity recognition can make this improved health care possible by simply having …