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Articles 57241 - 57270 of 302482

Full-Text Articles in Physical Sciences and Mathematics

Internal And External Factors’ Influence On Recycling: Insights From A Laboratory Experiment With Observed Behavior, Nooh Linder, Sonny Rosenthal, Patrik Sorqvist, Stephan Barthel Jul 2021

Internal And External Factors’ Influence On Recycling: Insights From A Laboratory Experiment With Observed Behavior, Nooh Linder, Sonny Rosenthal, Patrik Sorqvist, Stephan Barthel

Research Collection College of Integrative Studies

Internal psychological factors, such as intentions and personal norms, are central predictors of pro-environmental behavior in many theoretical models, whereas the influence from external factors such as the physical environment is seldom considered. Even rarer is studying how internal factors interact with the physical context in which decisions take place. In the current study, we addressed the relative influence and interaction of psychological and environmental factors on pro-environmental behavior. A laboratory experiment presented participants (N = 399) with a choice to dispatch a used plastic cup in a recycling or general waste bin after participating in a staged “yogurt taste …

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Recent Advances In Network-Based Methods For Disease Gene Prediction, Sezin Kircali Ata, Min Wu, Yuan Fang, Ou-Yang Le, Chee Keong Kwoh, Xiao-Li Li Jul 2021

Recent Advances In Network-Based Methods For Disease Gene Prediction, Sezin Kircali Ata, Min Wu, Yuan Fang, Ou-Yang Le, Chee Keong Kwoh, Xiao-Li Li

Research Collection School Of Computing and Information Systems

Disease-gene association through Genome-wide association study (GWAS) is an arduous task for researchers. Investigating single nucleotide polymorphisms (SNPs) that correlate with specific diseases needs statistical analysis of associations. Considering the huge number of possible mutations, in addition to its high cost, another important drawback of GWAS analysis is the large number of false-positives. Thus, researchers search for more evidence to cross-check their results through different sources. To provide the researchers with alternative and complementary low-cost disease-gene association evidence, computational approaches come into play. Since molecular networks are able to capture complex interplay among molecules in diseases, they become one of …

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An Adaptive Large Neighborhood Search For The Green Mixed Fleet Vehicle Routing Problem With Realistic Energy Consumption And Partial Recharges, Vincent F. Yu, Panca Jodiawan, Aldy Gunawan Jul 2021

An Adaptive Large Neighborhood Search For The Green Mixed Fleet Vehicle Routing Problem With Realistic Energy Consumption And Partial Recharges, Vincent F. Yu, Panca Jodiawan, Aldy Gunawan

Research Collection School Of Computing and Information Systems

This study addresses a variant of the Electric Vehicle Routing Problem with Mixed Fleet, named as the Green Mixed Fleet Vehicle Routing Problem with Realistic Energy Consumption and Partial Recharges. This problem contains three important characteristics — realistic energy consumption, partial recharging policy, and carbon emissions. An adaptive Large Neighborhood Search heuristic is developed for the problem. Experimental results show that the proposed ALNS finds optimal solutions for most small-scale benchmark instances in a significantly faster computational time compared to the performance of CPLEX solver. Moreover, it obtains high quality solutions for all medium- and large-scale instances under a reasonable …

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On The Generalizability Of Neural Program Models With Respect To Semantic-Preserving Program Transformations, Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang Jul 2021

On The Generalizability Of Neural Program Models With Respect To Semantic-Preserving Program Transformations, Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Context: With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as predicting method names in given programs that cannot be easily done by traditional program analysis techniques. Although such neural program models have been tested on various existing datasets, the extent to which they generalize to unforeseen source code is largely unknown. Objective: Since it is very challenging to test neural program models on all unforeseen programs, in this paper, we propose to evaluate the generalizability of neural program models with respect …

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Make It Easy: An Effective End-To-End Entity Alignment Framework, Congcong Ge, Xiaoze Liu, Lu Chen Chen, Baihua Zheng, Yunjun Gao Jul 2021

Make It Easy: An Effective End-To-End Entity Alignment Framework, Congcong Ge, Xiaoze Liu, Lu Chen Chen, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Entity alignment (EA) is a prerequisite for enlarging the coverage of a unified knowledge graph. Previous EA approaches either restrain the performance due to inadequate information utilization or need labor-intensive pre-processing to get external or reliable information to perform the EA task. This paper proposes EASY, an effective end-to-end EA framework, which is able to (i) remove the labor-intensive pre-processing by fully discovering the name information provided by the entities themselves; and (ii) jointly fuse the features captured by the names of entities and the structural information of the graph to improve the EA results. Specifically, EASY first introduces NEAP, …

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Attack As Defense: Characterizing Adversarial Examples Using Robustness, Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun Jul 2021

Attack As Defense: Characterizing Adversarial Examples Using Robustness, Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun

Research Collection School Of Computing and Information Systems

As a new programming paradigm, deep learning has expanded its application to many real-world problems. At the same time, deep learning based software are found to be vulnerable to adversarial attacks. Though various defense mechanisms have been proposed to improve robustness of deep learning software, many of them are ineffective against adaptive attacks. In this work, we propose a novel characterization to distinguish adversarial examples from benign ones based on the observation that adversarial examples are significantly less robust than benign ones. As existing robustness measurement does not scale to large networks, we propose a novel defense framework, named attack …

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Privacy-Preserving Proof Of Storage For The Pay-As-You-Go Business Model, Tong Wu, Guomin Yang, Yi Mu, Fuchun Guo, Robert H. Deng Jul 2021

Privacy-Preserving Proof Of Storage For The Pay-As-You-Go Business Model, Tong Wu, Guomin Yang, Yi Mu, Fuchun Guo, Robert H. Deng

Research Collection School Of Computing and Information Systems

Proof of Storage (PoS) enables a cloud storage provider to prove that a client's data is intact. However, existing PoS protocols are not designed for the pay-as-you-go business model in which payment is made based on both storage volume and duration. In this paper, we propose two PoS protocols suitable for the pay-as-you-go storage business model. The first is a time encapsulated Proof of Retrievability (PoR) protocol that ensures retrievability of the original file upon successful auditing by a client. Considering the large size of outsourced data, we then extend the protocol to a privacy-preserving public auditing protocol which allows …

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Emotioncues: Emotion-Oriented Visual Summarization Of Classroom Videos, Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu Jul 2021

Emotioncues: Emotion-Oriented Visual Summarization Of Classroom Videos, Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu

Research Collection School Of Computing and Information Systems

Analyzing students' emotions from classroom videos can help both teachers and parents quickly know the engagement of students in class. The availability of high-definition cameras creates opportunities to record class scenes. However, watching videos is time-consuming, and it is challenging to gain a quick overview of the emotion distribution and find abnormal emotions. In this paper, we propose EmotionCues, a visual analytics system to easily analyze classroom videos from the perspective of emotion summary and detailed analysis, which integrates emotion recognition algorithms with visualizations. It consists of three coordinated views: a summary view depicting the overall emotions and their dynamic …

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Enacting Systemic Change: The Evolving Landscape Of Computer Science Education In The State Of Wisconsin, Heather Bort Jul 2021

Enacting Systemic Change: The Evolving Landscape Of Computer Science Education In The State Of Wisconsin, Heather Bort

Dissertations (1934 -)

Over the last decade, the Systems Lab at Marquette University has undertaken a grand challenge to positively impact learners and educators in the state of Wisconsin with computer science education innovation. We have moved through a progression in maturity around recognizing the need for and implementing a propagation plan to achieve this desired outcome. This work showcases several novel innovations with increasing overall effectiveness in creating a more diverse community of computer science educators and learners in the state. We demonstrate a pattern of increased engagement, sustainable change, and measurable impact, that has resulted in a more accessible and inclusive …

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Marina: Faster Non-Convex Distributed Learning With Compression, Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtarik Jul 2021

Marina: Faster Non-Convex Distributed Learning With Compression, Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtarik

Research Collection School Of Computing and Information Systems

We develop and analyze MARINA: a new communication efficient method for non-convex distributed learning over heterogeneous datasets. MARINA employs a novel communication compression strategy based on the compression of gradient differences that is reminiscent of but different from the strategy employed in the DIANA method of Mishchenko et al. (2019). Unlike virtually all competing distributed first-order methods, including DIANA, ours is based on a carefully designed biased gradient estimator, which is the key to its superior theoretical and practical performance. The communication complexity bounds we prove for MARINA are evidently better than those of all previous first-order methods. Further, we …

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Unified Conversational Recommendation Policy Learning Via Graph-Based Reinforcement Learning, Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam Jul 2021

Unified Conversational Recommendation Policy Learning Via Graph-Based Reinforcement Learning, Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

Research Collection School Of Computing and Information Systems

Conversational recommender systems (CRS) enable the traditional recommender systems to explicitly acquire user preferences towards items and attributes through interactive conversations. Reinforcement learning (RL) is widely adopted to learn conversational recommendation policies to decide what attributes to ask, which items to recommend, and when to ask or recommend, at each conversation turn. However, existing methods mainly target at solving one or two of these three decision-making problems in CRS with separated conversation and recommendation components, which restrict the scalability and generality of CRS and fall short of preserving a stable training procedure. In the light of these challenges, we propose …

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Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc. Jul 2021

Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Atlantic Richfield Response To Comments Bpsou Draft Final Data Management Plan, Atlantic Richfield Company Jul 2021

Atlantic Richfield Response To Comments Bpsou Draft Final Data Management Plan, Atlantic Richfield Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc. Jul 2021

Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc. Jul 2021

Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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10568969 Edd, Pioneer Technical Services, Inc. Jul 2021

10568969 Edd, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc. Jul 2021

Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Design & Remedial Action, The Langdon Group, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Machine Learning Using Host/Guest Energy Histograms To Predict Adsorption In Metal–Organic Frameworks: Application To Short Alkanes And Xe/Kr Mixtures, Zhao Li, Benjamin J. Bucior, Haoyuan Chen, Maciej Haranczyk, J. Ilja Siepmann, Randall Q. Snurr Jul 2021

Machine Learning Using Host/Guest Energy Histograms To Predict Adsorption In Metal–Organic Frameworks: Application To Short Alkanes And Xe/Kr Mixtures, Zhao Li, Benjamin J. Bucior, Haoyuan Chen, Maciej Haranczyk, J. Ilja Siepmann, Randall Q. Snurr

Chemistry Faculty Publications and Presentations

A machine learning (ML) methodology that uses a histogram of interaction energies has been applied to predict gas adsorption in metal–organic frameworks (MOFs) using results from atomistic grand canonical Monte Carlo (GCMC) simulations as training and test data. In this work, the method is first extended to binary mixtures of spherical species, in particular, Xe and Kr. In addition, it is shown that single-component adsorption of ethane and propane can be predicted in good agreement with GCMC simulation using a histogram of the adsorption energies felt by a methyl probe in conjunction with the random forest ML method. The results …

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Disorder Driven Asymmetry And Singular Red Emission In Doped Lu2hf2o7 Nanocrystals With No Charge Compensating Defects, Santosh K. Gupta, Mitzy A. Penilla Garcia, Jose P. Zuniga, Bhupendra B. Srivastava, Yuanbing Mao Jul 2021

Disorder Driven Asymmetry And Singular Red Emission In Doped Lu2hf2o7 Nanocrystals With No Charge Compensating Defects, Santosh K. Gupta, Mitzy A. Penilla Garcia, Jose P. Zuniga, Bhupendra B. Srivastava, Yuanbing Mao

Chemistry Faculty Publications and Presentations

High performance luminescent materials possess low symmetry, high color purity, no charge compensating defects, and high quantum yield. In this work, we have synthesized Lu2Hf2O7 (LuHO) and Lu2Hf2O7:Eu3+ (LuHOE) nanocrystals (NCs) using a molten salt synthesis and confirmed that both are stabilized in defect fluorite structure with a high degree of structural disordering. The LuHO NCs depicted green emission under ultraviolet irradiation, which decreases and increases after being treated in oxidizing and reducing environments, respectively, confirming the role of oxygen vacancies in the emission process. The LuHOE NCs (i) show excitation wavelength-dependent host to dopant energy transfer efficiency, …

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Bridging The Simulation-To-Reality Gap: Adapting Simulation Environment For Object Recognition, Hardik Yogesh Sonetta Jul 2021

Bridging The Simulation-To-Reality Gap: Adapting Simulation Environment For Object Recognition, Hardik Yogesh Sonetta

Electronic Theses and Dissertations

Rapid advancements in object recognition have created a huge demand for labeled datasets for the task of training, testing, and validation of different techniques. Due to the wide range of applications, object models in the datasets need to cover both variations in geometric features and diverse conditions in which sensory inputs are obtained. Also, the need to manually label the object models is cumbersome. As a result, it becomes difficult for researchers to gain access to adequate datasets for the development of new methods or algorithms. In comparison, computer simulation has been considered a cost-effective solution to generate simulated data …

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The Effects Of Sugar Osmolytes On Reverse Micelle Systems, Jenna Deckard, Bridget Gourley Phd Jul 2021

The Effects Of Sugar Osmolytes On Reverse Micelle Systems, Jenna Deckard, Bridget Gourley Phd

Annual Student Research Poster Session

Reverse Micelles (RM) are nanoscopic pools of water encapsulated by an amphipathic surfactant molecule that allows the water pool to be suspended in a nonpolar solvent. We use RM systems because they allow for the study of water and dissolved osmolyte interactions in confinement. Gaining an understanding of how sugars interact with water in confinement has significant implications for biological systems. This project seeks to understand the effects of galactose as an osmolyte on the interactions, loading limits, and size of RMs when compared to RMs containing only water and RMs containing glucose. Galactose and glucose have slight structural differences, …

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Edge Influence On Forest Composition In A Pine-Oak Forest In Central Mexico, Isidro Avila, Dana Dudle Phd Jul 2021

Edge Influence On Forest Composition In A Pine-Oak Forest In Central Mexico, Isidro Avila, Dana Dudle Phd

Annual Student Research Poster Session

Deforestation in central Mexico comes as a direct consequence of the increase in agriculture demand and has resulted in the creation of more habitat edges. Changes in land usage for agriculture and resource extraction has resulted in habitat destruction and degradation; these same mechanisms have led to habitat fragmentation by producing smaller, and isolated fragments separated by human-transformed land cover. The loss of continuous area has resulted in greater exposure to human dominated landscapes resulting in changes to the structure and function of the remaining fragment. To quantify, document, and describe the edge influence on forest composition fragmented by an …

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Expression Of Lactate Dehydrogenase (Ldha) Wt And A320t Mutant, Natalie Husby, John Csehill, Ian Longen, Ellie Reece, Daniel Gurnon Phd Jul 2021

Expression Of Lactate Dehydrogenase (Ldha) Wt And A320t Mutant, Natalie Husby, John Csehill, Ian Longen, Ellie Reece, Daniel Gurnon Phd

Annual Student Research Poster Session

The human genome has a length of approximately 3 billion base pairs, containing a total of over 20,000 genes, which can all be subjected to mutations that cause variations in the genome. Variations in a genome can be potentially either benign or pathogenic, but it can be difficult to distinguish whether a variant is one or the other, leading to tens of thousands being classified as variants of unknown significance (VUS). Our lab was particularly interested in the VUSs in lactate dehydrogenase (LDHA), an oxidoreductase enzyme that catalyzes the reversible conversion of pyruvate to lactate, an important component to anaerobic …

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Extracting The Mean Lifetime Of The Neutron, Adam Forward, Muhammad Omer Sajid, Alexander Komives Phd Jul 2021

Extracting The Mean Lifetime Of The Neutron, Adam Forward, Muhammad Omer Sajid, Alexander Komives Phd

Annual Student Research Poster Session

Neutrons can be stable only when bound to the nucleus of an atom through the strong force. For every passing second, there is a probability that any isolated neutron will decay into a proton, an electron and an antineutrino. However, for the past 15 or so years, the only two neutron lifetime measurement methods have consistently shown lifetimes differing by over 8 seconds. One of the lifetime measurement methods is called the "beam method: and the other is called the "bottle method." While the measured lifetimes from the beam and bottle methods differ, as shown in the figure titled "Published …

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Effect Of A Hexylamine Derivative On Cancer Cell Viability, Rachel Delancey, Bamlak Deju, Jeff Hansen Phd, Nipun Chopra Phd Jul 2021

Effect Of A Hexylamine Derivative On Cancer Cell Viability, Rachel Delancey, Bamlak Deju, Jeff Hansen Phd, Nipun Chopra Phd

Annual Student Research Poster Session

2-[(p-Chlorophenyl)hydroxymethyl]-1-[(methylamino)hexyl]cyclohexanol is a drug produced by hexyl amine and an epoxide through an aldol epoxidation reaction. Motifs of β-amino alcohols and nonpolar R groups in organic compounds have been found to have cytotoxic properties. Past studies in Dr. Hansen’s lab has shown that this hexylamine derivative has similar LC50 values to other antitumor agents. They also found that the drug was cytotoxic to HL-60 cancer cells. No other cell lines have been tested with this drug. Our study investigates the effect of our compound on varying cell lines to further determine its anticancer properties. Mouse NIH/3T3, Human HEK293, and Human …

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Diversity Oriented Synthesis Of Furan Epoxide, Yuhui Wei, Jeff Hansen Phd Jul 2021

Diversity Oriented Synthesis Of Furan Epoxide, Yuhui Wei, Jeff Hansen Phd

Annual Student Research Poster Session

In this project, we are doing the Diversity Oriented Synthesis of Furan Epoxide. There are two main reactions we are trying to accomplish with the epoxide which are the Achmatowicz reaction with the furan ring, and the epoxide ring opening reaction with amine. During this summer, we are able to make the amino alcohol and the Achmatowicz product has been made from the previous semester. We were also trying to get Achmatowicz reaction happening with the amino alcohol product. However, the result doesn't show the expected structure and still needs further research. Besides organic chemistry synthesis, we also tested the …

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Diversity Oriented Synthesis Of Sulfur Containing Epoxide Compounds, Monica Stefaniak, Jeff Hansen Phd Jul 2021

Diversity Oriented Synthesis Of Sulfur Containing Epoxide Compounds, Monica Stefaniak, Jeff Hansen Phd

Annual Student Research Poster Session

Diversity oriented synthesis is a drug discovery approach that allows the creation of a wide variety of new compounds that can each have exciting new characteristics. Previous research involving the opening of epoxide rings with amine groups has shown promising results with regards to bioactivity. Our research involved finding a simple procedure to open the epoxide ring using various thiol groups such as octanethiol, hexanethiol, and benzenethiol. We are hoping to develop a library of new sulfur containing compounds that show promising characteristics, such as pharmacological activity. In our project, we synthesized multiple new sulfur containing compounds and verified their …

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Numerical Approaches Of Pricing European Options In The Cox-Ross-Rubenstein Models, Hai Phan, Seonguk Kim Phd Jul 2021

Numerical Approaches Of Pricing European Options In The Cox-Ross-Rubenstein Models, Hai Phan, Seonguk Kim Phd

Annual Student Research Poster Session

The Cox-Ross-Rubinstein (CRR) market mode is used to price European and American Options without complex elements, including dividends, stocks, and stock indexes paying a continuous dividend yield, futures, and currency options. The model is an elegant, simple, but strong model to explain the general economic intuition behind option pricing and its principal techniques. In the paper, the CRR model's numerical elements and equations are indicated, and a practical event is examined to demonstrate the application of the model in the financial market. To make it easier to understand, figures, including tables and graphs, are also included to visualize and simplify …

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Resilience Of Transportation Systems To Disasters, Nangga (Ga Nan) Oirat, Suman Balasubramanian Phd Jul 2021

Resilience Of Transportation Systems To Disasters, Nangga (Ga Nan) Oirat, Suman Balasubramanian Phd

Annual Student Research Poster Session

We used graph theory's centrality measures to process the resiliency of rail stations in India. Centrality measures are the principles of processing, while Python is the tool of processing.

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Copper-Catalyzed Transfer Hydrogenation, Deuteration, And Selective Transfer Hydrodeuteration Of Aryl Alkynes, Kiera Behlow Jul 2021

Copper-Catalyzed Transfer Hydrogenation, Deuteration, And Selective Transfer Hydrodeuteration Of Aryl Alkynes, Kiera Behlow

Master's Theses (2009 -)

Transfer hydrogenation utilizes a non-H2 source of hydrogen to reduce double and triple bonds, utilizing transition metal catalysts in addition to some organocatalysts. The use of earth-abundant first row transition metals with ligands that fine tune the reactivity of the catalyst allows for the selective reduction of unsaturated functionalities by utilizing cheap and ubiquitous hydrogen sources such as water and various alcohols. This precludes the need for highly flammable H2 gas, which is often used with heterogeneous catalysts that offer limited selectivity and functional group tolerability. Catalysts optimized for the transfer hydrogenation of the desired functionality can be implemented to …

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