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Measuring Peer Mentoring Effectiveness in Computing Courses: A Case study in Data Analytics for Cybersecurity
(IEEE, 2020-02-20)Computing courses often suffer from lack of diversity. In this paper we evaluate an intervention method of peer mentoring to help increase interest in data analytics in cybersecurity. We present a text mining approach to ... -
Sociodemographic patterns of pain in an urban community sample: an examination of intersectional effects of sex, race, age, and poverty status
(International Association for the Study of Pain ( IASP), 2020-01-07)Pain disparities based on race, sex, age, and socioeconomic status have been well documented. This study aimed to examine interactions among these sociodemographic factors on self-reported bodily pain in an urban community ... -
Qualitative and Quantitative Analysis of the Corneal Endothelium With Smartphone Specular Microscopy
(Wolters Kluwer, 2020-02-14)Purpose: We sought to demonstrate the feasibility of a lower-cost, portable method for qualitative and quantitative analysis of the corneal endothelium using a smartphone and slit lamp biomicroscope. Methods: In this study ... -
Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements
(EGU Publications, 2019-10-23)The global variability of clouds and their interactions with aerosol and radiation make them one of our largest uncertainties related to global radiative forcing. The droplet size distribution (DSD) of clouds is an excellent ... -
Hidden Trigger Backdoor Attacks
(2019-12-21)With the success of deep learning algorithms in various domains, studying adversarial attacks to secure deep models in real world applications has become an important research topic. Backdoor attacks are a form of adversarial ... -
Fooling Network Interpretation in Image Classification
(2019-09-24)Deep neural networks have been shown to be fooled rather easily using adversarial attack algorithms. Practical methods such as adversarial patches have been shown to be extremely effective in causing misclassification. ... -
Adversarial Patches Exploiting Contextual Reasoning in Object Detection
(2019-12-21)The utilization of spatial context to improve accuracy in most fast object detection algorithms is well known. The detectors increase inference speed by doing a single forward pass per image which means they implicitly use ... -
A simple baseline for domain adaptation using rotation prediction
(2019-12-26)Recently, domain adaptation has become a hot research area with lots of applications. The goal is to adapt a model trained in one domain to another domain with scarce annotated data. We propose a simple yet effective method ... -
DomainScope: A disease network based on protein domain connections
(2019-11-20)Protein domains are highly conserved functional units of proteins. Because they carry functionally significant information, the majority of the coding disease variants are located on domains. Additionally, domains are ... -
Linkages of Calcium Induced Calcium Release in a Cardiomyocyte Simulated by a System of Seven Coupled Partial Differential Equations
Cardiac arrhythmias affect millions of adults in the U.S. each year. This irregularity in the beating of the heart is often caused by dysregulation of calcium in cardiomyocytes, the cardiac muscle cell. Cardiomyocytes ... -
Efficient Product Inventory Maintenance for Black Friday Sale via Spark Big Data System
Black Friday fever attracts customers from far and wide. Excitement also leads to frantic chaos for e-commerce websites. To help ease the burden on the e-commerce companies managing the traffic as well as inventory is of ... -
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification
(2018-10-31)A self-organizing map (SOM) is a type of competitive artificial neural network, which projects the high dimensional input space of the training samples into a low dimensional space with the topology relations preserved. ... -
Effect of Surface Topography on Particle Deposition from Liquid Suspensions in Channel Flow
(MDPI, 2020-01-05)A Eulerian—Lagrangian model has been developed to simulate particle attachment to surfaces with arc-shaped ribs in a two-dimensional channel flow at low Reynolds numbers. Numerical simulation has been performed to improve ... -
Quantum scrambling and the growth of mutual information
(2020-02-07)Quantum information scrambling refers to the loss of local recoverability of quantum information, which has found widespread attention from high energy physics to quantum computing. In the present analysis we propose a ... -
Optimal Entropy Compression and Purification in Quantum Bits
(2020-01-02)Global unitary transformations (optswaps) that optimally increase the bias of any mixed computation qubit in a quantum system - represented by a diagonal density matrix - towards a particular state of the computational ... -
Computational Study of Flapping Wing Response to Vertical Gusts at Low Reynolds Numbers
(American Institute of Aeronautics and Astronautics, 2020-01-05)This work presents a computational study of an oscillating NACA0012 airfoil’s response to vertical gusts at low Reynolds numbers. The gust is created by a cross-flow ducted floor jet and its interaction with a freestream ... -
3D Path-Following using MRAC on a Millimeter-Scale Spiral-Type Magnetic Robot
(IEEE, 2020-01-24)This paper focuses on the 3D path-following of a spiral-type helical magnetic swimmer in a water-filled workspace. The swimmer has a diameter of 2.5 mm, a length of 6 mm, and is controlled by an external time-varying ... -
Debottlenecking mevalonate pathway for antimalarial drug precursor amorphadiene biosynthesis in Yarrowia lipolytica
(Elsevier B.V., 2020-06-10)World Health Organization reports that half of the population in developing countries are at risk of malaria infection. Artemisinin, the most potent anti-malaria drug, is a sesquiterpene endoperoxide extracted from the ... -
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints
Reinforcement learning (RL) has shown success in solving complex sequential decision making tasks when a well defined reward function is available. For agents acting in the real world, these reward functions need to be ... -
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series
The problem of frequent and anomalous patterns discovery in time series has received a lot of attention in the past decade. Addressing the common limitation of existing techniques, which require a pattern length to be known ...
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