Digital Commons Network^™

The First Amendment And Refusals To Deal, Eugene Volokh

University of the Pacific Law Review

No abstract provided.

Optimal Experimental Planning Of Reliability Experiments Based On Coherent Systems, Yang Yu

Statistical Science Theses and Dissertations

In industrial engineering and manufacturing, assessing the reliability of a product or system is an important topic. Life-testing and reliability experiments are commonly used reliability assessment methods to gain sound knowledge about product or system lifetime distributions. Usually, a sample of items of interest is subjected to stresses and environmental conditions that characterize the normal operating conditions. During the life-test, successive times to failure are recorded and lifetime data are collected. Life-testing is useful in many industrial environments, including the automobile, materials, telecommunications, and electronics industries.

There are different kinds of life-testing experiments that can be applied for different purposes. …

The Hipaa Privacy Rule At Age 25: Privacy For Equitable Ai, Barbara J. Evans

UF Law Faculty Publications

This Article argues that unconsented access to data is not ethically problematic in and of itself. What has made it problematic is the weak framework of alternative protections that the Privacy Rule prescribes when data are used without individual consent. This Article proposes specific measures to strengthen those protections so that the pursuit of greater health care equity need not imply a loss of meaningful privacy standards.

Part I describes two competing visions of how to protect data privacy, examining the roots of ongoing discontent with the Privacy Rule and tracing policymakers’ original rationale for fashioning a major federal privacy …

Fair’S Fair: How Public Benefit Considerations In The Fair Use Doctrine Can Patch Bias In Artificial Intelligence Systems, Patrick K. Lin

Indiana Journal of Law and Social Equality

The impact of artificial intelligence (AI) expands relentlessly despite well documented examples of bias in AI systems, from facial recognition failing to differentiate between darker-skinned faces to hiring tools discriminating against female candidates. These biases can be introduced to AI systems in a variety of ways; however, a major source of bias is found in training datasets, the collection of images, text, audio, or information used to build and train AI systems. This Article first grapples with the pressure copyright law exerts on AI developers and researchers to use biased training data to build algorithms, focusing on the potential risk …

Teaching Learning Newsletter Vol 3 Issue 2, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

A Comparison Of Confidence Intervals In State Space Models, Jinyu Du

Statistical Science Theses and Dissertations

This thesis develops general procedures for constructing confidence intervals (CIs) of the error disturbance parameters (standard deviations) and transformations of the error disturbance parameters in time-invariant state space models (ssm). With only a set of observations, estimating individual error disturbance parameters accurately in the presence of other unknown parameters in ssm is a very challenging problem. We attempted to construct four different types of confidence intervals, Wald, likelihood ratio, score, and higher-order asymptotic intervals for both the simple local level model and the general time-invariant state space models (ssm). We show that for a simple local level model, both the …

Evaluating An Mhealth Application For Cancer Survivors With Disabilities Through Usability Testing, Kevin Baez

University Honors Program Senior Projects

The effect of cancer treatment can cause difficulties in a cancer survivor's life due to the risk of attaining a long-term disability which has potential negative cognitive, psychological, physical, and social consequences. Furthermore, post-treatment support has been shown to be severely limited, leaving many to deal with new obstacles and struggles on their own. With no real support system in place, cancer survivors with disabilities can be lost during post-cancer transition. However, mHealth interventions have been proven to effectively aid users in dealing with various health issues. We aim to support and empower cancer survivors through an application called, WeCanManage. …

Extended Sentinel Monitoring Of Helicoverpa Zea Resistance To Cry And Vip3aa Toxins In Bt Sweet Corn: Assessing Changes In Phenotypic And Allele Frequencies Of Resistance, Galen P. Dively, Tom P. Kuhar, Sally V. Taylor, Helene Doughty, Kristian Holmstrom, Daniel O. Gilrein, Brian A. Nault, Joseph Ingerson-Mahar, Anders Huseth, Dominic Reisig, Shelby Fleischer, David Owens, Kelley Tilmon, Francis Reay-Jones, Pat Porter, Jocelyn Smith, Julien Saguez, Jason Wells, Caitlin Congdon, Holly Byker, Bryan Jensen, Chris Difonzo, William D. Hutchison, Eric Burkness, Robert J. Wright, Michael Crossley, Heather Darby, Tom Bilbo, Nicholas Seiter, Christian Krupke, Craig Abel, Brad S. Coates, Bradley Mcmanus, Billy Fuller, Jeffrey Bradshaw, Julie A. Peterson, David Buntin, Silvana L. Vieira De Paula Moraes, Katelyn Kesheimer, Whitney Crow

Department of Entomology: Faculty Publications

Transgenic corn and cotton that produce Cry and Vip3Aa toxins derived from Bacillus thuringiensis (Bt) are widely planted in the United States to control lepidopteran pests. The sustainability of these Bt crops is threatened because the corn earworm/bollworm, Helicoverpa zea (Boddie), is evolving a resistance to these toxins. Using Bt sweet corn as a sentinel plant to monitor the evolution of resistance, collaborators established 146 trials in twenty-five states and five Canadian provinces during 2020–2022. The study evaluated overall changes in the phenotypic frequency of resistance (the ratio of larval densities in Bt ears relative to densities in non-Bt ears) …

Mining And Black-Box Learning Of Relationship-Based Access Control Policies, Ravishankar Padmavathi Iyer

Legacy Theses & Dissertations (2009 - 2024)

Information systems collect a huge volume of data about individuals such as social interactions, health/educational records, etc. To protect such data and mitigate privacy risks, access control policies specify what actions different users are authorized to perform in a system. It is important to obtain an accurate specification of the access control policy implemented in a system to 1) safely and effectively use the system as end-users and 2) ensure that it meets developers' expectations of security/privacy. Unfortunately, most systems today do not come with a clearly documented access control policy. Even worse, the access controls implemented in a system …

Near-Optimal Motion Planning Algorithms Via A Topological And Geometric Perspective, Aakriti Kumari Upadhyay

Computer Science Theses & Dissertations

Motion planning is a fundamental problem in robotics, which involves finding a path for an autonomous system, such as a robot, from a given source to a destination while avoiding collisions with obstacles. The properties of the planning space heavily influence the performance of existing motion planning algorithms, which can pose significant challenges in handling complex regions, such as narrow passages or cluttered environments, even for simple objects. The problem of motion planning becomes deterministic if the details of the space are fully known, which is often difficult to achieve in constantly changing environments. Sampling-based algorithms are widely used among …

2023-2024 Fordham Law School Faculty Bibliography, Fordham Law School

Faculty Bibliography

Bibliography of Fordham Law School faculty publications in print from July 2023-June 2024.

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Well-Conditioned T-Matrix Formulation For Scattering By A Dielectric Obstacle, Murat Enes Hati̇poğlu, Fati̇h Di̇kmen

Turkish Journal of Electrical Engineering and Computer Sciences

The classic formulation of the extended boundary condition method is revisited to inject the regularization operators for the unknown coefficients of the eigen-function expansions for the travelling and standing waves throughout the dielectric scatterer. It is shown that, using the new definitions, the existing algorithm of the scattering field calculation can be kept the same for its well-conditioned version. This is exemplified for scalar 2D problems for both TM and TE polarization under illumination of a line source. The condition numbers of the matrix operators in the new version of the algorithm are drastically reduced when the regularization interfaces are …

Lightweight Deep Neural Network Models For Electromyography Signal Recognition For Prosthetic Control, Ahmet Mert

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, lightweight deep learning methods are proposed to recognize multichannel electromyography (EMG) signals against varying contraction levels. The classical machine learning, and signal processing methods namely, linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), root mean square (RMS), and waveform length (WL) are adopted to convolutional neural network (CNN), and long short-term memory neural network (LSTM). Eight-channel recordings of nine amputees from a publicly available dataset are used for training and testing the proposed models considering prosthetic control strategies. Six class hand movements with three contraction levels are applied to WL and RMS-based feature extraction. After that, they …

A Practical Framework For Early Detection Of Diabetes Using Ensemble Machine Learning Models, Qusay Saihood, Emrullah Sonuç

Turkish Journal of Electrical Engineering and Computer Sciences

The diagnosis of diabetes, a prevalent global health condition, is crucial for preventing severe complications. In recent years, there has been a growing effort to develop intelligent diagnostic systems for diabetes utilizing machine learning (ML) algorithms. Despite these efforts, achieving high accuracy rates using such systems remains a significant challenge. Recent advancements in ensemble ML methods offer promising opportunities for early detection of diabetes, as they are known to be faster and more cost-effective than traditional approaches. Therefore, this study proposes a practical framework for diagnosing diabetes that involves three stages. The data preprocessing stage encompasses several crucial tasks, including …

Improving Unet Segmentation Performance Using An Ensemble Model In Images Containing Railway Lines, Mehmet Sevi̇, İlhan Aydin

Turkish Journal of Electrical Engineering and Computer Sciences

This study aims to make sense of the autonomous system and the railway environment for railway vehicles. For this purpose, by determining the railway line, information about the general condition of the line can be obtained along the way. In addition, objects such as pedestrian crossings, people, cars, and traffic signs on the line will be extracted. The rails and the rail environment in the images will be segmented with a semantic segmentation network. In order to ensure the safety of rail transport, computer vision, and deep learning-based methods are increasingly used to inspect railway tracks and surrounding objects. In …

Aerocom: Summer 2023, John D. Odegard School Of Aerospace Sciences

Aerocom: John D. Odegard School of Aerospace Sciences Alumni Magazine

No abstract provided.

Monitoring And Modeling Urban Heat Patterns In The State Of Iowa, Usa Utilizing Mobile Sensors And Geospatial Data, Clemir Abbeg Coproski

Dissertations and Theses @ UNI

No abstract provided.

A New Equation To Predict The Shear Strength Of Recycled Aggregate Concrete Z Push-Off Specimens, Thanongsak Imjai, Fetih Kefyalew, Pakjira Aosai, Reyes Garcia, Boksun Kim, Hasan M. Abdalla, Sudharshan N. Raman

School of Engineering, Computing and Mathematics

This article investigates the shear behaviour of Recycled Aggregate Concrete (RAC) Z push-off specimens. Fifteen specimens with different replacement levels of recycled concrete aggregate (RCA = 0 %, 25 %, 50 %, 75 % and 100 %) were tested. It is shown that a 100 % RCA replacement level reduces shear strength by 17.3 %. The shear behaviour of the specimens was further analysed using nonlinear finite element analysis (FEA). The results show that the shear strength results from the FEA and Digital Image Correlation measurements agree well (within 5 %) with the experimental results. This study proposes a new …

Quality Of Growth And Poverty In Low Income Countries: The Role Of Manufacturing, Raul V. Fabella, Sarah Lynne S. Daway-Ducanes, Geoffrey M. Ducanes

DLSU Business & Economics Review

Both the Millennium Development Goals (MDGs) which ended in 2015, and its replacement the Sustainable Development Goals (SDGs) of the United Nations which will end in 2030, target the eradication of poverty. The 2020 Covid pandemic has seriously worsened poverty incidence in many low income countries, and recovering lost ground is paramount. As low income economies try to establish a new normal, they need to aim not only for higher overall economic growth but also for a higher quality of economic growth for improved inclusion outcome. Higher quality means more inclusion per unit growth. We discuss how for the same …

A Review Of Solar Hybrid Photovoltaic-Thermal (Pv-T) Collectors And Systems, Todd Otanicar

Mechanical and Biomedical Engineering Faculty Publications and Presentations

In this paper, we provide a comprehensive overview of the state-of-the-art in hybrid PV-T collectors and the wider systems within which they can be implemented, and assess the worldwide energy and carbon mitigation potential of these systems. We cover both experimental and computational studies, identify opportunities for performance enhancement, pathways for collector innovation, and implications of their wider deployment at the solar-generation system level. First, we classify and review the main types of PV-T collectors, including air-based, liquid-based, dual air–water, heat-pipe, building integrated and concentrated PV-T collectors. This is followed by a presentation of performance enhancement opportunities and pathways for …

"The End Of Learning Is Gracious Living": A Centennial Of Life In Mary Trowbridge Hall, Kalmazoo College, Hunter Lorain Magrum

Historic Preservation Final Projects

No abstract provided.

Water Current, Volume 55, No. 2, Summer 2023

Water Current Newsletter

No abstract provided.

Droughtscape, Summer 2023, National Drought Mitigation Center

DroughtScape: Quarterly Newsletter of the National Drought Mitigation Center (2007–2023)

DroughtScape, Summer 2023

Population-Specific Responses In Eastern Oysters Exposed To Low Salinity In The Northern Gulf Of Mexico, Kyle A. Sirovy, Sandra M. Casas, Jerome F. La Peyre, Morgan W. Kelly

Faculty Publications

Eastern oysters, Crassostrea virginica, are facing rapid environmental changes in the northern Gulf of Mexico and can respond to these changes via plasticity or evolution. Plastic responses can immediately buffer against environmental changes, although this buffering may impact the organism’s ability to evolve in subsequent generations. While plasticity and evolution are not mutually exclusive, the relative contribution and interaction between them remains unclear. In this study, we investigated the roles of plastic and evolved responses of C. virginica acclimated to low salinity using a common garden experiment with four populations exposed to two salinities. We used three transcriptomic analyses (edgeR, …

Economic Transformation And Growth In The Philippines: An Analysis Of Political Settlements, Rents, And Deals, Jesus Felipe, Desher Edgar Empeño, Brendan Emmanuel A. Miranda

Angelo King Institute for Economic and Business Studies (AKI)

The main gateway for the Philippines to develop and become an upper-middle-income economy—and eventually, a high-income economy—is to expedite the shift of workers out of agriculture and to produce and export more complex products with a higher income elasticity of demand. The actual growth rate is constrained by the balance-of-payments equilibrium growth rate, about 6%—the maximum the country can attain without incurring balance-of-payments problems. We use the Pritchett-Sen-Werker political-economy framework to analyze the role of different types of firms and the deals environment during successive Philippine administrations until the current one. Due to their economic size and political power, only …

Diaasq: A Benchmark Of Conversational Aspect-Based Sentiment Quadruple Analysis, Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji

Research Collection School Of Computing and Information Systems

The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society. The current ABSA works, however, are mostly limited to the scenario of a single text piece, leaving the study in dialogue contexts unexplored. To bridge the gap between fine-grained sentiment analysis and conversational opinion mining, in this work, we introduce a novel task of conversational aspect-based sentiment quadruple analysis, namely DiaASQ, aiming to detect the quadruple of target-aspect-opinion-sentiment in a dialogue. We manually construct a large-scale high-quality DiaASQ dataset in both Chinese and English languages. We deliberately develop a neural model to benchmark …

Norfolk Integrated Waste-Energy Framework, Emma Kurtz, Abigail Schroeder, Jonah Mcdowell

Project Energy Nebraska: Student Projects

Environmental Engagement in the Community projects, spring 2023 A poster titled Norfolk Integrated Waste-Energy Framework for client City of Norfolk, Nebraska and Nebraska Public Power District.

Faculty sponsor: David Gosselin

Acorporation, Inc.: Corporate Form As Art Project And Advocacy, Chad Erpelding, Ruth Jebe, Jeff Lingwall

Art, Design & Visual Studies Faculty Publications and Presentations

Development of the corporation was a key turning point in the institutional history of business. The concepts of life beyond the existence of its founders, limited liability, and the ability to accumulate massive amounts of capital through stock ownership changed the nature of commercial practice in the United States and around the world. This has not been without controversy, particularly as large corporations began to capture much of modern economic life. Great economic power has not always meant great responsibility, and concepts of corporate citizenship and legal “personhood” remain subjects of debate. Similarly, how corporations do, or ought to, navigate …

Encoding And Storage Of Information In Mechanical Metamaterials, Zhiqiang Meng, Hujie Yan, Mingchao Liu, Wenkai Qin, Guy M Genin, Chang Qing Chen

2020-Current year OA Pubs

Information processing using material's own properties has gained increasing interest. Mechanical metamaterials, due to their diversity of deformation modes and wide design space, can be used to realize information processing, such as computing and storage. Here a mechanical metamaterial system is demonstrated for material-based encoding and storage of data through programmed reconfigurations of the metamaterial's structured building blocks. Sequential encoding and decoding are achieved in the three-dimensional (3D) printed pixelated mechanical metamaterial via kirigami-based "pixels" with programmable, temperature-dependent bistability. The mechanical metamaterial is demonstrated via a multistep deformation of encoding messages of texts and surfaces with arrays of binary data, …