Institution
Worcester Polytechnic Institute
Education•Worcester, Massachusetts, United States•
About: Worcester Polytechnic Institute is a education organization based out in Worcester, Massachusetts, United States. It is known for research contribution in the topics: Population & Data envelopment analysis. The organization has 6270 authors who have published 12704 publications receiving 332081 citations. The organization is also known as: WPI.
Topics: Population, Data envelopment analysis, Supply chain, Nonlinear system, Finite element method
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors provide updated information on the energy potential and breadth of liquid biofuel biotechnology, including bio-diesel, ethanol, and algal-based biodiesel.
Abstract: The global population is expected to increase by approximately 3 billion people by 2050. With this increase in population, industry, transportation the cost of fossil fuels will grow dramatically. New technologies are needed for fuel extraction using feedstocks that do not threaten food security, cause minimal or no loss of natural habitat and soil carbon. At the same time, waste management has to be improved and environmental pollution should be minimized or eliminated. Liquid biofuels such as lignocellulosic-based ethanol from plant biomass and algal-based biodiesel are sustainable, alternative biofuels that could stabilize national security and provide clean energy for future generations. Ideally, the technology should also foster recycling of agricultural feedstocks and improve soil fertility and human health. This article provides updated information on the energy potential and breadth of liquid biofuel biotechnology.
149 citations
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TL;DR: The cumulative effects of molecular weight and concentration on the structural transitions in the electrospun polymer have been studied in this article, where experiments have been conducted with water as the solvent for molecular weights of polyvinyl alcohol (PVA) ranging from 9500g/mol to 155,000 g/mol.
149 citations
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07 Nov 2010TL;DR: The tool, Margrave, offers powerful features for firewall analysis, including enumerating consequences of configuration edits, detecting overlaps and conflicts among rules, tracing firewall behavior to specific rules, and verification against security goals.
Abstract: Writing and maintaining firewall configurations can be challenging, even for experienced system administrators. Tools that uncover the consequences of configurations and edits to them can help sysadmins prevent subtle yet serious errors. Our tool, Margrave, offers powerful features for firewall analysis, including enumerating consequences of configuration edits, detecting overlaps and conflicts among rules, tracing firewall behavior to specific rules, and verification against security goals. Margrave differs from other firewall-analysis tools in supporting queries at multiple levels (rules, filters, firewalls, and networks of firewalls), comparing separate firewalls in a single query, supporting reflexive ACLs, and presenting exhaustive sets of concrete scenarios that embody queries. Margrave supports real-world firewall-configuration languages, decomposing them into multiple policies that capture different aspects of firewall functionality. We present evaluation on networking-forum posts and on an in-use enterprise firewall-configuration.
149 citations
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TL;DR: Insight is provided into the factors that shape users’ decisions to continue using mHealth apps, as well as other likely decision scenarios after the initial use experience, which provide important implications for design of m health apps to increase long-term engagement of the users.
Abstract: Background Mobile health (mHealth) apps that support individuals pursuing health and wellness goals, such as weight management, stress management, smoking cessation, and self-management of chronic conditions have been on the rise. Despite their potential benefits, the use of these tools has been limited, as most users stop using them just after a few times of use. Under this circumstance, achieving the positive outcomes of mHealth apps is less likely. Objective The objective of this study was to understand continued use of mHealth apps and individuals' decisions related to this behavior. Methods We conducted a qualitative longitudinal study on continued use of mHealth apps. We collected data through 34 pre- and postuse interviews and 193 diaries from 17 participants over two weeks. Results We identified 2 dimensions that help explain continued use decisions of users of mHealth apps: users' assessment of mHealth app and its capabilities (user experience) and their persistence at their health goals (intent). We present the key factors that influence users' assessment of an mHealth app (interface design, navigation, notifications, data collection methods and tools, goal management, depth of knowledge, system rules, actionable recommendations, and user system fit) and relate these factors to previous literature on behavior change technology design. Using these 2 dimensions, we developed a framework that illustrated 4 decisions users might make after initial interaction with mHealth apps (to abandon use, limit use, switch app, and continue use). We put forth propositions to be explored in future research on mHealth app use. Conclusions This study provides insight into the factors that shape users' decisions to continue using mHealth apps, as well as other likely decision scenarios after the initial use experience. The findings contribute to extant knowledge of mHealth use and provide important implications for design of mHealth apps to increase long-term engagement of the users.
149 citations
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TL;DR: In this paper, a front tracking method is presented for simulations of dendritic growth of pure substances in the presence of flow, where the liquid-solid interface is explicitly tracked and the latent heat released during solidification is calculated using the normal temperature gradient near the interface.
148 citations
Authors
Showing all 6336 results
Name | H-index | Papers | Citations |
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Andrew G. Clark | 140 | 823 | 123333 |
Ming Li | 103 | 1669 | 62672 |
Joseph Sarkis | 101 | 482 | 45116 |
Arthur C. Graesser | 95 | 614 | 38549 |
Kevin J. Harrington | 85 | 682 | 33625 |
Kui Ren | 83 | 501 | 32490 |
Bart Preneel | 82 | 844 | 25572 |
Ming-Hui Chen | 82 | 525 | 29184 |
Yuguang Fang | 79 | 572 | 20715 |
Wenjing Lou | 77 | 311 | 29405 |
Bernard Lown | 73 | 330 | 20320 |
Joe Zhu | 72 | 231 | 19017 |
Y.S. Lin | 71 | 304 | 16100 |
Kevin Talbot | 71 | 268 | 15669 |
Christof Paar | 69 | 399 | 21790 |