Physical Sciences and Mathematics Commons^™

Best Management Practices: A Community-Based Approach To Construction And Installation, Nathanael J. La Breche

Purdue Journal of Service-Learning and International Engagement

The Wabash River Enhancement Corporation (WREC) is a nonprofit organization dedicated to improving both the health of the Wabash River and the surrounding terrestrial areas. In an effort to improve water quality, their urban cost-share program focuses on supporting green projects within a critical region surrounding the Great Bend of the Wabash River. In this essay, a Purdue student describes his experience as leader of a six-member group who worked with WREC to locate a suitable site within this critical area and implement a green project. They selected the Lighthouse Baptist Church, located in Lafayette, Indiana, since it was experiencing …

The Santa Clara, 2017-10-19, Santa Clara University

The Santa Clara

No abstract provided.

Dodrant-Homomorphic Encryption For Cloud Databases Using Table Lookup, Thomas Schwarz

Mathematics, Statistics and Computer Science Faculty Research and Publications

Users of large commercial databases increasingly want to outsource their database operations to a cloud service providers, but guaranteeing the privacy of data in an outsourced database has become the major obstacle to this move. Encrypting all data solves the privacy issue, but makes many operations on the data impossible in the cloud, unless the service provider has the capacity to decrypt data temporarily. Homomorphic encryption would solve this issue, but despite great and on-going progress, it is still far from being operationally feasible. In 2015, we presented what we now call dodrant-homomorphic encryption, a method that encrypts numeric values …

'Catch The King' Tide With Stormsense On Nov. 5th: How You Can Help Crowd-Source Tidal Flood Event Calibrations For Hampton Roads' Newest Water Level Sensors, Jon Derek Loftis, Harry Wang, David R. Forrest

Presentations

Dr. Derek Loftis presented his recent research related to installing new water level sensors (and some of the early event data the network has captured during Hurricanes Jose and Maria) in many Hampton Roads municipalities with the StormSense Smart Cities project. This presentation also introduces information related VIMS efforts with the CCRFR and local news media in the organization of the 'Catch the King' Tide crowd-sourcing data event using the Sea Level Rise App.

Geology Of Northeastern Nebraska And Environs: Cedar, Dakota, And Dixon Counties In Nebraska, And Plymouth And Woodbury County In Iowa, Robert Matthew Joeckel, Dana Divine, P.R. Hanson, Leslie M. Howard

Conservation and Survey Division

No abstract provided.

Improving Hpc Communication Library Performance On Modern Architectures, Matthew G. F. Dosanjh

Computer Science ETDs

As high-performance computing (HPC) systems advance towards exascale (10^18 operations per second), they must leverage increasing levels of parallelism to achieve their performance goals. In addition to increased parallelism, machines of that scale will have strict power limitations placed on them. One direction currently being explored to alleviate those issues are many-core processors such as Intel’s Xeon Phi line. Many-core processors sacrifice clock speed and core complexity, such as out of order pipelining, to increase the number of cores on a die. While this increases floating point throughput, it can reduce the performance of serialized, synchronized, and latency sensitive code …

Stable Isotopes In The Eye Lenses Of Doryteuthis Plei: Exploring Natal Origins And Migratory Patterns In The Eastern Gulf Of Mexico, Brenna A. Meath

USF Tampa Graduate Theses and Dissertations

Stable isotope analysis is an emerging tool to examine trophic pathways and migratory patterns of marine organisms. Squid are widely distributed in coastal and deep water regions of the Gulf of Mexico. Stable isotope ratios of carbon and nitrogen found within cephalopod tissues can provide information on both trophic level and habitat of their food sources. More recently, ontogenetic changes in stable isotope ratios within squid eye lenses have been documented. Concentric layers of crystallin proteins are added to the lens as the squid ages; the center of the lens contains the oldest layer and the youngest layers are on …

300-X-250-7.Jpg, Susunqq Online

susunqq

Cosm News, Georgia Southern University

College of Science and Mathematics News (2012-2019)

• November 6, 2017: Sigma Xi Distinguished Lecturer: Beth Middleton, Ph.D.

Horticulture, Led Grow Lights, Grow Tents- Perfect For Indoor Gardens.Docx, Sam Sims

Sam Sims

Morphodynamics Of Atolls, Reef Flats, And The Islands Atop Them, Andrew Ashton

Sustainability Seminar Series

The atolls that dot the tropical oceans of (primarily) the Pacific and Indian Oceans contain shallow and emergent coastal environments that often comprise the only subaerial, inhabitable land of many island chains and island nations. Created foremost by calcifying organisms, and composed of both biogenic rocky substrate and detrital sediment, these shallow environments are shaped by waves, currents, and tides. The low-lying, geomorphically active reef islands sitting atop of atolls face considerable hazards from climate change. I will present a series of recent and ongoing research projects addressing the formation mechanisms and potential climate change response of coastal atoll environments, …

Giovanni Badino (1953-2017), Arrigo Cigna, Paolo Forti

International Journal of Speleology

Short obituary of Giovanni Badino.

The Transformation Of Science With Hpc, Big Data, And Ai, Jeffrey Kirk

Commonwealth Computational Summit

High performance computing has matured into an indispensable tool for not only academic research and government labs and agencies, but also for many industry sectors: energy, manufacturing, healthcare, financial services, even digital content creation. More recently, the advent of Big Data has enabled the use of HPC techniques for large scale data analysis, expanding the scope of HPC and the reach of it into more research and enterprise use cases. Since 2012, a new regime of data-driven analytics, deep learning, has erupted in popularity, fueled by both the massive performance increases in HPC technologies and in the explosive rate of …

Harnessing The Data Revolution, Chaitan Baru

Commonwealth Computational Summit

Harnessing Data for 21st Century Science and Engineering (aka Harnessing the Data Revolution, HDR) is one of NSF's six "Big Research Ideas," aimed at supporting fundamental research in data science and engineering; developing a cohesive, federated approach to the research data infrastructure needed to power this revolution; and developing of a 21st-century data-capable workforce. HDR will enable new modes of data-driven discovery allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding by working with domain experts, and accelerate discovery and innovation. This initiative builds on NSF's history of data science investments. …

Tell Me Why? Tell Me More! Explaining Predictions, Iterated Learning Bias, And Counter-Polarization In Big Data Discovery Models, Olfa Nasraoui

Commonwealth Computational Summit

Outline:

What can go Wrong in Machine Learning?

• Unfair Machine Learning
• Iterated Bias & Polarization
• Black Box models

Tell me more: Counter-Polarization

Tell me why: Explanation Generation

Analysis Of Complex Vertebrate Genomes: Computational Challenges And Solutions, Jeramiah J. Smith

Commonwealth Computational Summit

No abstract provided.

Accurate And Scalable Query Over Large Rna‐Seq Experiments, Jinze Liu

Commonwealth Computational Summit

No abstract provided.

Resource Efficient Design Of Quantum Circuits For Quantum Algorithms, Himanshu Thapliyal

Commonwealth Computational Summit

No abstract provided.

Additional Data Via Autonomous Systems To Supplement Traditional Sparse Sources For Weather Forecasting And Atmospheric Science, Suzanne Weaver Smith

Commonwealth Computational Summit

No abstract provided.

Correct Model Selection In Multiple Regression Analyses Of Big Data, Katherine L. Thompson

Commonwealth Computational Summit

Goals:

• Improve statistical modeling in a variety of application areas
• Correctly identify the relationships present in data sets
• Understand the difficulty in choosing the correct statistical model in big data

Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems, Yu Zhao, Guigen Zhang

Commonwealth Computational Summit

A brief discussion on reductive vs integrative investigation

A case study: how integrative computational modeling helps advance the understanding and application of dielectrophoresis (DEP) in various situations

Other applications in advancing the design and development of nanopore, medical devices, novel materials, actuation devices, and coupled spectroscopic techniques, etc.

Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie

Commonwealth Computational Summit

No abstract provided.

Grading Complex Tasks Through Crowdsourcing, Lingyu Lyu

Commonwealth Computational Summit

Crowdsourcing provides huge opportunities and scalability solutions for grading large scale tasks, such as MOOCs.

Reliability and quality of graders and crowdsourced data are challenging issues.

Workers might give random grades, which are spam; or provide biased grades, which need to be corrected.

The budget for hiring graders is limited, in many cases.

Parallelization Of A Three-Dimensional Full Multigrid Algorithm To Simulate Tumor Growth, Dylan Goodin, Chin F. Ng, Hermann B. Frieboes

Commonwealth Computational Summit

We present the performance gains of an openMP implementation of a fully adaptive nonlinear full multigrid (FMG) algorithm to simulate three-dimensional multispecies desmoplastic tumor growth on computer systems of varying processing capabilities. The FMG algorithm is applied to solve a recently published thermodynamic mixture model that uses a diffuse interface approach with fourth-order reaction-advection-diffusion PDEs (Cahn-Hilliard-type equations) that are coupled, nonlinear, and numerically stiff. The model includes multiple cell species and extracellular matrix (ECM), with adhesive and elastic energy contributions in chemical potential terms, as well as including blood and lymphatic vessels represented as continuous vasculatures. Advection-reaction-diffusion PDEs are employed …

The Effect Of Inlet Pulsations On Primary Atomization Of Liquid Jets, Kyle Windland, Prashant Khare

Commonwealth Computational Summit

Objectives

• Elucidate the physics underlying the primary atomization of liquid jets.
• Investigate the effect of inlet pulsations on the atomization process.
• Identify the reliability of numerical predictions using uncertainty quantification techniques (UQ) and sensitivity analyses.

Computational Materials Characterization, Discovery, And Design With High Performance Computing, Qunfei Zhou, Xiaotao Liu, Tyler Maxwell, Thomas John Balk, Matthew J. Beck

Commonwealth Computational Summit

No abstract provided.

New Explainable Active Learning Approach For Recommender Systems, Sami Khenissi, Behnoush Abdollahi, Wenlong Sun, Pegah Sagheb, Olfa Nasraoui

Commonwealth Computational Summit

Introduction and Motivations

• Recommender Systems are intelligent programs that analyze patterns between items and users to predict the user’s taste.

Objective

• Design an efficient Active Learning Strategy to increase the explainability and the accuracy of an “Explainable Matrix Factorization” model.

A Network Tomography Approach For Traffic Monitoring In Smart Cities, Ruoxi Zhang, Sara Newman, Marco Ortolani, Simone Silvestri

Commonwealth Computational Summit

Various urban planning and managing activities required by a Smart City are feasible because of traffic monitoring. As such, this project proposes a network tomography-based approach that can be applied to road networks to achieve a cost-efficient, flexible, and scalable monitor deployment. Due to the algebraic approach of network tomography, the selection of monitoring intersections can be solved through the use of matrices, with its rows representing paths between two intersections, and its columns representing links in the road network. Because the goal of the algorithm is to provide an inexpensive monitor set, this problem can be translated into a …

Bio-Inspired Disaster Response Networks, Vijay K. Shah, Simone Silvestri, Sajal K. Das, Satyaki Roy

Commonwealth Computational Summit

Large-scale natural disasters (e.g., Earthquake, Hurricane) –

• Three times as many disasters between 1980 and 2016 compared to 1940-1980. (EM-DAT – The International Disaster Database)
• Since 1990, 217 million people affected each year. (The New England Journal of Medicine)

Aftermath a disaster,

• Loss of human lives and property
• Lack of food, clean drinking water, shelter etc.
• Disruption of infrastructure networks (e.g. cellular towers) and other public infrastructures (e.g. power sources) – Our focus !

Formation Of Supermassive Black Holes In The Early Universe: High-Resolution Numerical Simulations Of Radiation Transfer Inside Collapsing Gas, Yang Luo, Kazem Ardaneh, Isaac Shlosman, Kentaro Nagamine, John Wise, Mitchell C. Begelman

Commonwealth Computational Summit

Observations of high-redshift quasars reveal that super massive black holes (SMBHs) with masses exceeding 10⁹ M_⊙ formed as early as redshift z ~ 7 [1,3,6]. This means that SMBHs have already formed ~700 million years after the Big Bang. How did such SMBHs could grow so quickly?

In this work, we use a modified and improved version of the blockstructured adaptive mesh refinement (AMR) code ENZO [2] to provide high spatial and temporal resolution for modeling the formation of SMBHs via direct collapse within dark matter (DM) halos at high redshifts. The radiation hydrodynamics equations are solved in …