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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Tools And Strategies For The Patterning Of Bioactive Molecules And Macromolecules, Daniel J. Valles
Tools And Strategies For The Patterning Of Bioactive Molecules And Macromolecules, Daniel J. Valles
Dissertations, Theses, and Capstone Projects
Hypersurface Photolithography (HP) is a printing method for fabricating structures and patterns composed of soft materials bound to solid surfaces and with ~1 micrometer resolution in the x, y, and z dimensions. This platform leverages benign, low intensity light to perform photochemical surface reactions with spatial and temporal control of irradiation, and, as a result, is particularly useful for patterning delicate organic and biological material. In particular, surface- initiated controlled radical polymerizations can be leveraged to create arbitrary polymer and block- copolymer brush patterns. Chapter 1 will review the advances in instrumentation architectures from our group that have made these …
Molecular Dynamics Simulations Of Self-Assemblies In Nature And Nanotechnology, Phu Khanh Tang
Molecular Dynamics Simulations Of Self-Assemblies In Nature And Nanotechnology, Phu Khanh Tang
Dissertations, Theses, and Capstone Projects
Nature usually divides complex systems into smaller building blocks specializing in a few tasks since one entity cannot achieve everything. Therefore, self-assembly is a robust tool exploited by Nature to build hierarchical systems that accomplish unique functions. The cell membrane distinguishes itself as an example of Nature’s self-assembly, defining and protecting the cell. By mimicking Nature’s designs using synthetically designed self-assemblies, researchers with advanced nanotechnological comprehension can manipulate these synthetic self-assemblies to improve many aspects of modern medicine and materials science. Understanding the competing underlying molecular interactions in self-assembly is always of interest to the academic scientific community and industry. …
The Impact Of User Control And Transparency In App Design On Privacy Concerns And Behavior Of Mobile App Users, Arwa Alawajy
The Impact Of User Control And Transparency In App Design On Privacy Concerns And Behavior Of Mobile App Users, Arwa Alawajy
Dissertations, Theses, and Capstone Projects
Mobile apps have unprecedented access to sensitive personal information. The increasing commodification of mobile-user data motivates us to explore the vital role of app developers in protecting users’ privacy. This dissertation examines the privacy of mobile app users from the perspective of HCI. According to Communication Privacy Management (CPM) theory, people believe they own their personal information and have the right to control how or with whom they share this information. In practice, individuals manage their privacy system and the boundaries between the public and private domain. Users make privacy disclosure decisions according to their individual characteristics and the perceptions …
Efficient Protocols For Multi-Party Computation, Tahereh Jafarikhah
Efficient Protocols For Multi-Party Computation, Tahereh Jafarikhah
Dissertations, Theses, and Capstone Projects
Secure Multi-Party Computation (MPC) allows a group of parties to compute a join function on their inputs without revealing any information beyond the result of the computation. We demonstrate secure function evaluation protocols for branching programs, where the communication complexity is linear in the size of the inputs, and polynomial in the security parameter. Our result is based on the circular security of the Paillier's encryption scheme. Our work followed the breakthrough results by Boyle et al. [9; 11]. They presented a Homomorphic Secret Sharing scheme which allows the non-interactive computation of Branching Programs over shares of the secret inputs. …
Applying Deep Learning On Financial Sentiment Analysis, Cuiyuan Wang
Applying Deep Learning On Financial Sentiment Analysis, Cuiyuan Wang
Dissertations, Theses, and Capstone Projects
Portfolio Investment has always been appealing to investors and researchers. In the past, people tend to use historical trading information of the securities to predict the return or manage the portfolio. Nowadays, the literature has been proved that the market sentiment could predict asset prices. Specifically, it has been shown that the stock market movement is related to financial news and social media events. Thus, it becomes necessary to extract the sentiment of the financial news. We explicitly introduce the application of dictionary methods, traditional machine learning models and deep learning models on text classification. The experiment results show that …
The Legacy Of Car-Share And Light-Rail Transit For Mobility And Accessibility Improvements In Economically Marginalized Neighborhoods In The New York Metro Area, Kyeongsu Kim
Dissertations, Theses, and Capstone Projects
This dissertation explores the value of the car-share program and a new light rail system with respect to their impact on mobility and accessibility improvements in economically and transportation access-wise marginalized neighborhoods in NYC and its adjacent communities. It consists of three main essays that took deep dives into how each new service or system altered mobility or accessibility for those in need. The first essay (Chapter 2) investigates car-share vehicle utilization rates of the Zipcar across NYC. It assesses the utilization rates by vehicle type, service location, time period, and weekday usage compared to weekend activity. With a multivariate …