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Regulation Of Bacterial Virulence Genes By Pecs Family Transcription Factors, George C. Nwokocha, Arpita Ghosh, Anne Grove Oct 2024

Regulation Of Bacterial Virulence Genes By Pecs Family Transcription Factors, George C. Nwokocha, Arpita Ghosh, Anne Grove

Faculty Publications

Bacterial plant pathogens adjust their gene expression programs in response to environmental signals and host-derived compounds. This ensures that virulence genes or genes encoding proteins, which promote bacterial fitness in a host environment, are expressed only when needed. Such regulation is in the purview of transcription factors, many of which belong to the ubiquitous multiple antibiotic resistance regulator (MarR) protein family. PecS proteins constitute a subset of this large protein family. PecS has likely been distributed by horizontal gene transfer, along with the divergently encoded efflux pump PecM, suggesting its integration into existing gene regulatory networks. Here, we discuss the …


Comparative Transcriptomic Analyses Reveal Differences In The Responses Of Diploid And Triploid Eastern Oysters To Environmental Stress, Rujuta V Vaidya, Sarah Bodenstein, Dildorakhon Rasulova, Jerome F La Peyre, Morgan W Kelly Oct 2024

Comparative Transcriptomic Analyses Reveal Differences In The Responses Of Diploid And Triploid Eastern Oysters To Environmental Stress, Rujuta V Vaidya, Sarah Bodenstein, Dildorakhon Rasulova, Jerome F La Peyre, Morgan W Kelly

Faculty Publications

Triploid oysters are commonly used as the basis for production in the aquaculture of eastern oysters along the USA East and Gulf of Mexico coasts. While they are valued for their rapid growth, incidents of triploid mortality during summer months have been well documented in eastern oysters, especially at low salinity sites. We compared global transcriptomic responses of diploid and triploid oysters bred from the same three maternal source populations at two different hatcheries and outplanted to a high (annual mean salinity = 19.4 ± 6.7) and low (annual mean salinity = 9.3 ± 5.0) salinity site. Oysters were sampled …


Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton Oct 2024

Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton

Faculty Publications

The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …


Scaling The Polymerization Of Polyaldehydes Through Continuous Flow Synthesis, Jared M. Schwartz, Paul A. Kohl, Anthony Engler Oct 2024

Scaling The Polymerization Of Polyaldehydes Through Continuous Flow Synthesis, Jared M. Schwartz, Paul A. Kohl, Anthony Engler

Faculty Publications

A plug flow reactor was constructed to scale the synthesis of metastable, phthalaldehyde-based polymers to achieve production rates of 1–2 kg per day. The flow-induced mixing and in-line polymerization quench and precipitation sequences resulted in improved polymer purity and long-term stability compared to the same materials made from a conventional batch process. Cryogenic rheology was used to probe the complex fluid dynamics encountered during the polymerization of PPA homopolymers. It is envisioned that this continuous flow manufacturing approach could be extended to other low ceiling temperature or aldehyde monomer systems to help implement and support a plastic circular economy. Graphical …


Reframing And Advancing Academic Mentorship To Support New And Early Career Faculty Members, Juanita-Dawne R. Bacsu, Patricia C. Heyn, Steffi Kim, Zahra Rahemi, Monique J. Brown, Darina V. Petrovsky, Justine S. Sefcik, Jodi L. Southerland, Jeremy Holloway, Elyse Couch, Ayse Malatyali, Matthew L. Smith Oct 2024

Reframing And Advancing Academic Mentorship To Support New And Early Career Faculty Members, Juanita-Dawne R. Bacsu, Patricia C. Heyn, Steffi Kim, Zahra Rahemi, Monique J. Brown, Darina V. Petrovsky, Justine S. Sefcik, Jodi L. Southerland, Jeremy Holloway, Elyse Couch, Ayse Malatyali, Matthew L. Smith

Faculty Publications

Mentorship is critical to fostering professional growth and career development in academia. However, academic mentorship is often an informal activity that is overlooked and under researched. There is much ambiguity and uncertainty surrounding mentorship roles and strategies in academia. This paper provides recommendations and strategies to reframe and advance academic mentorship to support new and early career faculty.


Innovation Challenges In The Air Force Sbir Program: From The Small Businesses’ Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., R. David Fass Oct 2024

Innovation Challenges In The Air Force Sbir Program: From The Small Businesses’ Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., R. David Fass

Faculty Publications

Every year the United States invests $3.2 billion in the Small Business Innovation Research (SBIR) program to promote innovation among the nation’s small businesses. Half of this investment is from the DoD. This research considers the challenges faced by small businesses innovating with the DoD, particularly those awarded SBIR contracts with the United States Air Force. The authors surveyed 286 unique small businesses that were previously awarded an Air Force SBIR contract. By asking the survey respondents open-ended questions and categorizing their responses, they pinpoint unaddressed challenges from the small business perspective. By categorizing survey responses through Qualitative Content Analysis, …


Innovation Challenges In The Air Force Sbir Program: From The Small Businesses' Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., Robert D. Fass Oct 2024

Innovation Challenges In The Air Force Sbir Program: From The Small Businesses' Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., Robert D. Fass

Faculty Publications

Every year the United States invests $3.2 billion in the Small Business Innovation Research (SBIR) program to promote innovation among the nation’s small businesses. Half of this investment is from the DoD. This research considers the challenges faced by small businesses innovating with the DoD, particularly those awarded SBIR contracts with the United States Air Force. The authors surveyed 286 unique small businesses that were previously awarded an Air Force SBIR contract. By asking the survey respondents open-ended questions and categorizing their responses, they pinpoint unaddressed challenges from the small business perspective. By categorizing survey responses through Qualitative Content Analysis, …


Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine Oct 2024

Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine

Faculty Publications

The authors use historical information obtained from the Cost Assessment Data Enterprise to estimate recurring production unit cost for DoD avionics via cost estimating relationships (CERs). The specific modeled responses include mean unit cost, median unit cost, and the 100th production unit cost (T100) utilizing learning curve theory. For T100, the authors adopt both a multiplicative and an additive error for CER comparison. Recommended CERs consist of the mean unit cost and the T100 utilizing a multiplicative error. Moreover, results reveal that weight has a significant effect on cost as well as a potential underaccounting of real price change or …


Real-Time Synthesis Of A Nonuniformly Correlated, Partially Coherent Beam Using An Optical Coordinate Tansformation, Milo W. Hyde Iv Oct 2024

Real-Time Synthesis Of A Nonuniformly Correlated, Partially Coherent Beam Using An Optical Coordinate Tansformation, Milo W. Hyde Iv

Faculty Publications

We design, build, and validate an optical system for generating light beams with complex spatial coherence properties in real time. Beams of this type self-focus and are resistant to turbulence degradation, making them potentially useful in applications such as optical communications. We begin with a general theoretical analysis of our proposed design. Our approach starts by generating a Schell-model (uniformly correlated or shift-invariant) source by spatially filtering incoherent light. We then pass this light through an optical coordinate transformer, which converts the Schell-model source into a nonuniformly correlated field. After the general analysis, we discuss system engineering, including trade-offs among …


Return To Eden: God’S Design For Human Sexuality In The Song Of Songs, Richard M. Davidson Oct 2024

Return To Eden: God’S Design For Human Sexuality In The Song Of Songs, Richard M. Davidson

Faculty Publications

No abstract provided.


Using Variable-Resolution Grids To Model Precipitation From Atmospheric Rivers Around The Greenland Ice Sheet, Annelise Waling, Adam Herrington, Katharine Duderstadt, Jack E. Dibb, Elizabeth A. Burakowski Sep 2024

Using Variable-Resolution Grids To Model Precipitation From Atmospheric Rivers Around The Greenland Ice Sheet, Annelise Waling, Adam Herrington, Katharine Duderstadt, Jack E. Dibb, Elizabeth A. Burakowski

Faculty Publications

Atmospheric rivers (ARs) are synoptic-scale features that transport moisture poleward and may cause short-duration, high-volume melt events on the Greenland ice sheet (GrIS). In contrast with traditional climate modeling studies that rely on coarse (1 to 2°) grids, this project investigates the effectiveness of variable-resolution (VR) grids in modeling ARs and their subsequent precipitation using refined grid spacing (0.25 and 0.125°) around the GrIS and 1° grid spacing for the rest of the globe in a coupled land–atmosphere model simulation. VR simulations from the Community Earth System Model version 2.2 (CESM2.2) bridge the gap between the limitations of global and …


The Elephant In The Dark Room: A Response To Fair Notice, The Rule Of Law And Reforming Qualified Immunity, Teressa E. Ravenell Sep 2024

The Elephant In The Dark Room: A Response To Fair Notice, The Rule Of Law And Reforming Qualified Immunity, Teressa E. Ravenell

Faculty Publications

In response to Professor Chapman’s Fair Notice, the Rule of Law, and Reforming Qualified Immunity, this article examines the viability of Chapman’s proposal to reform qualified immunity by focusing on the “fair notice” rationale. Chapman argues that government officials should not be shielded from liability in cases where they acted in bad faith, violated criminal laws, or engaged in conduct malum in se. This article explores whether such a proposal could meaningfully alter qualified immunity litigation and concludes that significant procedural and historical barriers make this reform unlikely to succeed.


Comparing The Health Information Practices Of Sapphic People By Age Group And Generation, Vanessa Lynn Kitzie Sep 2024

Comparing The Health Information Practices Of Sapphic People By Age Group And Generation, Vanessa Lynn Kitzie

Faculty Publications

This qualitative research examines how sapphic people (i.e., umbrella term inclusive of lesbian, bisexual, and pansexual trans femmes, mascs, nonbinary people, and ciswomen) in South Carolina navigate informational barriers within healthcare systems. An information practices lens that examines how sapphic people create, seek, use, and share information to achieve desired healthcare outcomes describes such navigation. The research focuses on how intersectional identities, with a particular emphasis on age and considerations of race/ethnicity, geography, and gender, mediate these practices and their outcomes. The research uses participant data from semi-structured interviews and focus groups with 34 sapphic people about their health information …


High-Fidelity Machine Learning Techniques For Driver Drowsiness Detection, Yasser Ismail, Ebenezer Essel, Abeer Abdelhamid, Mahmoud Darwich, Fahmi Khalifa, Fred Lacy Sep 2024

High-Fidelity Machine Learning Techniques For Driver Drowsiness Detection, Yasser Ismail, Ebenezer Essel, Abeer Abdelhamid, Mahmoud Darwich, Fahmi Khalifa, Fred Lacy

Faculty Publications

It is devastating that daily, there is an ample number of car crashes that cause damage to automobiles, onboard passengers get injured, and others tend to lose their lives. Road crashes are fast rising across the globe and have drawn many road safety commissions and concerned individuals to discuss ways to reduce this menacing situation drastically. With the introduction of artificial intelligence and technological advancement, the government and state commissions have beckoned on the various universities and research institutions to develop methods to curb the rise of automobile crashes. Some causes of these crashes include drunk driving and drowsiness, the …


Exploring Barriers To Effective Covid-19 Risk Mitigation, Recovery, And Chronic Disease Self-Management: A Qualitative Multilevel Perspective, Gayenell S. Magwood Phd, Rn, Faha, Faan, Charles Ellis Jr, Chanita Hughes Halbert, Ebony Allen Toussaint, Jewel Scott Phd, Rn, Fnp-C, Lynne S. Nemeth Sep 2024

Exploring Barriers To Effective Covid-19 Risk Mitigation, Recovery, And Chronic Disease Self-Management: A Qualitative Multilevel Perspective, Gayenell S. Magwood Phd, Rn, Faha, Faan, Charles Ellis Jr, Chanita Hughes Halbert, Ebony Allen Toussaint, Jewel Scott Phd, Rn, Fnp-C, Lynne S. Nemeth

Faculty Publications

Introduction: Many research activities have focused on SARS-CoV-2 infection and subsequent COVID-19 respiratory illness during the pandemic. However, significant racial inequities emerged months after the COVID-19 pandemic began. The similarity between racial/ ethnic disparities in COVID-19 and those for other diseases raised awareness about the context for risk exposure and healthcare access. The purpose of this study is to examine social and structural determinants of health among COVID-19 survivors, carepartners, and the perspectives of healthcare stakeholders who experienced disruption during the early pandemic.
Material and methods: A purposive sample of interviews (n=9) and focus groups (n=10) were used to collect …


The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe Sep 2024

The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe

Faculty Publications

Precise gamma-ray spectral analysis is crucial in high-stakes applications, such as nuclear security. Research efforts toward implementing machine learning (ML) approaches for accurate analysis are limited by the resemblance of the training data to the testing scenarios. The underlying spectral shape of synthetic data may not perfectly reflect measured configurations, and measurement campaigns may be limited by resource constraints. Consequently, ML algorithms for isotope identification must maintain accurate classification performance under domain shifts between the training and testing data. To this end, four different classifiers (Ridge, Random Forest, Extreme Gradient Boosting, and Multilayer Perceptron) were trained on the same dataset …


Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach Sep 2024

Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach

Faculty Publications

As we face multiple environmental crises (e.g. climate change, nutrient pollution, freshwater scarcity), there is often a disconnect between an entity’s activities and the pollution resulting from that activity. Footprint tools help address this disconnect. They are effective in educating people, institutions and communities on how their resource use results in environmental pollution and what we can do to moderate that pollution. These tools connect an entity’s activities with the associated pollution. Footprint tools are also constantly evolving. As we better understand how to best estimate emissions—especially from sources further removed like those from the supply chain—the guidance and methods …


Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach Sep 2024

Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach

Faculty Publications

As we face multiple environmental crises (e.g. climate change, nutrient pollution, freshwater scarcity), there is often a disconnect between an entity’s activities and the pollution resulting from that activity. Footprint tools help address this disconnect. They are effective in educating people, institutions and communities on how their resource use results in environmental pollution and what we can do to moderate that pollution. These tools connect an entity’s activities with the associated pollution. Footprint tools are also constantly evolving. As we better understand how to best estimate emissions—especially from sources further removed like those from the supply chain—the guidance and methods …


Beyond Covid: Towards A Transdisciplinary Synthesis For Understanding Responses And Developing Pandemic Preparedness In Alaska, Taylor P. Van Doren, Ryan A. Brown, Guangqing Chi, Patricia Cochran, Katie Cueva, Laura Eichelberger, Ruby Fried, Stacey Fritz, Micah B. Hahn, Ron Heintz, Davin Holen, Andrey N. Petrov Sep 2024

Beyond Covid: Towards A Transdisciplinary Synthesis For Understanding Responses And Developing Pandemic Preparedness In Alaska, Taylor P. Van Doren, Ryan A. Brown, Guangqing Chi, Patricia Cochran, Katie Cueva, Laura Eichelberger, Ruby Fried, Stacey Fritz, Micah B. Hahn, Ron Heintz, Davin Holen, Andrey N. Petrov

Faculty Publications

Pandemics are regularly occurring events, and there are foundational principles of pandemic preparation upon which communities, regions, states, and nations may draw upon for elevated preparedness against an inevitable future infectious disease threat. Many disciplines within the social sciences can provide crucial insight and transdisciplinary thinking for the development of preparedness measures. In 2023, the National Science Foundation funded a conference of circumpolar researchers and Indigenous partners to reflect on COVID-19-related research. In this article, we synthesise our diverse social science perspectives to: (1) identify potential areas of future pandemic-related research in Alaska, and (2) pose new research questions that …


Prevailing Issues And Actions In Urban Best Practices Across Latin America And The Caribbean, Fabio Capra-Ribeiro Sep 2024

Prevailing Issues And Actions In Urban Best Practices Across Latin America And The Caribbean, Fabio Capra-Ribeiro

Faculty Publications

This research examines urban best practices (BPs) across Latin America and the Caribbean to illuminate the prevalent issues and actions associated with these locally implemented initiatives. An analysis of 45 BPs from the UN-Habitat repository was conducted using both quantitative and qualitative methods, organized into three phases. The first phase focused on collecting data such as BP sources, countries of origin, and years of implementation. The second phase identified common problems and actions within the BPs. The third phase involved a cross-sectional analysis to identify significant patterns and trends. The study found that many BPs originated from the Dubai International …


Neurosymbolic Cognitive Methods For Enhancing Foundation Model-Based Reasoning, Kaushik Roy, Siyu Wu, Alessandro Oltramari Sep 2024

Neurosymbolic Cognitive Methods For Enhancing Foundation Model-Based Reasoning, Kaushik Roy, Siyu Wu, Alessandro Oltramari

Faculty Publications

Foundation models have emerged as powerful tools, exhibiting extraordinary performance across various tasks, such as language processing, visual recognition, code generation, and human-centered engagement. However, recent studies have highlighted their limitations when grounded, abstract, and generalized reasoning capabilities are required. Complex tasks often involve multiple hierarchical reasoning steps, which are typical features of human thinking processes. In fact, in this chapter we claim that cognitively-inspired computational models, such as the so-called Common Model of Cognition, are key to enable complex reasoning within foundation model-based artificial intelligence (AI) systems. We investigate neurosymbolic approaches for mapping AI system components to those of …


Formation And Microwave Losses Of Hydrides In Superconducting Niobium Thin Films Resulting From Fluoride Chemical Processing, Carlos G. Torres-Castanedo, Dominic P. Goronzy, Thang Pham, Anthony Mcfadden, Nicholas Materise, Paul Masih Das, Matthew Cheng, Dmitry Lebedev, Stephanie M. Ribet, Mitchell J. Walker, David A. Garcia-Wetten, Cameron J. Kopas, Jayss Marshall, Ella Lachman, Nikolay Zhelev, James A. Sauls, Joshua Y. Mutus, Corey Rae H. Mcrae, Vinayak P. Dravid, Michael J. Bedzyk, Mark C. Hersam Sep 2024

Formation And Microwave Losses Of Hydrides In Superconducting Niobium Thin Films Resulting From Fluoride Chemical Processing, Carlos G. Torres-Castanedo, Dominic P. Goronzy, Thang Pham, Anthony Mcfadden, Nicholas Materise, Paul Masih Das, Matthew Cheng, Dmitry Lebedev, Stephanie M. Ribet, Mitchell J. Walker, David A. Garcia-Wetten, Cameron J. Kopas, Jayss Marshall, Ella Lachman, Nikolay Zhelev, James A. Sauls, Joshua Y. Mutus, Corey Rae H. Mcrae, Vinayak P. Dravid, Michael J. Bedzyk, Mark C. Hersam

Faculty Publications

Superconducting niobium (Nb) thin films have recently attracted significant attention due to their utility for quantum information technologies. In the processing of Nb thin films, fluoride-based chemical etchants are commonly used to remove surface oxides that are known to affect superconducting quantum devices adversely. However, these same etchants can also introduce hydrogen to form Nb hydrides, potentially negatively impacting microwave loss performance. Here, comprehensive materials characterization of Nb hydrides formed in Nb thin films as a function of fluoride chemical treatments is presented. In particular, secondary-ion mass spectrometry, X-ray scattering, and transmission electron microscopy reveal the spatial distribution and phase …


The Past And Future Of The Fisheries And Marine Ecosystem Model Intercomparison Project, Camilla Novaglio, Andrea Bryndum-Buchholz, Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Cheryl S. Harrison, Ryan F. Heneghan, Olivier Maury, Kelly Ortega-Cisneros, Colleen M. Petrik, Kelsey E. Roberts, Julia L. Blanchard Sep 2024

The Past And Future Of The Fisheries And Marine Ecosystem Model Intercomparison Project, Camilla Novaglio, Andrea Bryndum-Buchholz, Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Cheryl S. Harrison, Ryan F. Heneghan, Olivier Maury, Kelly Ortega-Cisneros, Colleen M. Petrik, Kelsey E. Roberts, Julia L. Blanchard

Faculty Publications

Climate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) is a network and framework that provides standardised ensemble projections of the impacts of climate change and fisheries on ocean life and the benefits that it provides to people. Since its official launch in 2013 as a small, self-organized project within the larger Inter-Sectoral Impact Model Intercomparison Project, the FishMIP community has grown substantially and contributed to key international policy processes, such as the Intergovernmental Panel on Climate Change Assessment …


Theory And Practice Of Mediation Representation, John Lande Sep 2024

Theory And Practice Of Mediation Representation, John Lande

Faculty Publications

These days, American attorneys regularly represent clients in mediation. This representation is a complex process, and attorneys and law students need guidance about how to serve clients well in this context. This article offers a theoretical framework for analyzing mediation representation based on Real Practice System Theory. It reviews books that outline elements of mediation representation and identify practical techniques that attorneys can use when representing clients in mediation. It supplies several suggestions for faculty who teach mediation, including teaching courses combining the perspectives of both mediators and mediation representatives.


Real Practice Systems Project Menu Of Checklists For Attorneys In Mediation, John Lande Sep 2024

Real Practice Systems Project Menu Of Checklists For Attorneys In Mediation, John Lande

Faculty Publications

This is a detailed menu of checklists for attorneys representing clients in mediation, including actions before, during, and after mediation sessions. The checklists include items about information to provide on websites, compliance with ethical requirements, and reflection and improvement of techniques. They are intended to prompt attorneys to become more conscious and intentional in their work, helping them to develop routines and strategies for dealing with recurring problems.

The checklists are extensive but not exhaustive. They are not recipes to follow strictly, thoughtlessly, or completely. Instead, they should help attorneys decide what to do in any specific case or in …


Reconstructive Evolutionary Morphology: Tracing The Historical Process Of Modifications Of Complex Systems Driven By Natural Selection Through Changing Ecological Conditions, Dominique G. Homberger Sep 2024

Reconstructive Evolutionary Morphology: Tracing The Historical Process Of Modifications Of Complex Systems Driven By Natural Selection Through Changing Ecological Conditions, Dominique G. Homberger

Faculty Publications

There is general consensus among evolutionary biologists that natural selection drives phenotypic modifications within populations over generational time. How to reconstruct this historical process, however, has been discussed mostly in theoretical terms, and recommendations and explanations on how to translate such theoretical insights into practice are needed. The present study aims at providing a theory-supported practical guide on how to reconstruct historical evolutionary processes by applying a morphology-centered approach through a series of interdependent steps of descriptive morphology, functional analysis, ecological observation, integration of paleoecological data, and evolutionary synthesis. Special attention is given to the development of tests regarding the …


Toward A Comparative Framework For Studies Of Altitudinal Migration, David Vander Pluym, Nicholas A. Mason Sep 2024

Toward A Comparative Framework For Studies Of Altitudinal Migration, David Vander Pluym, Nicholas A. Mason

Faculty Publications

The study and importance of altitudinal migration has attracted increasing interest among zoologists. Altitudinal migrants are taxonomically widespread and move across altitudinal gradients as partial or complete migrants, subjecting them to a wide array of environments and ecological interactions. Here, we present a brief synthesis of recent developments in the field and suggest future directions toward a more taxonomically inclusive comparative framework for the study of altitudinal migration. Our framework centers on a working definition of altitudinal migration that hinges on its biological relevance, which is scale-dependent and related to fitness outcomes. We discuss linguistic nuances of altitudinal movements and …


Fake Base Station Detection And Link Routing Defense, Sourav Purification, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang Sep 2024

Fake Base Station Detection And Link Routing Defense, Sourav Purification, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang

Faculty Publications

Fake base stations comprise a critical security issue in mobile networking. A fake base station exploits vulnerabilities in the broadcast message announcing a base station’s presence, which is called SIB1 in 4G LTE and 5G NR, to get user equipment to connect to the fake base station. Once connected, the fake base station can deprive the user of connectivity and access to the Internet/cloud. We discovered that a fake base station can disable the victim user equipment’s connectivity for an indefinite period of time, which we validated using our threat prototype against current 4G/5G practices. We designed and built a …


An Intelligent Impulsive Noise Mitigation With Deep Learning Method, Guo Yang, Yuwen Qian, Zikun Wang, Xiangwei Zhou, Wen Wu Sep 2024

An Intelligent Impulsive Noise Mitigation With Deep Learning Method, Guo Yang, Yuwen Qian, Zikun Wang, Xiangwei Zhou, Wen Wu

Faculty Publications

To enable message transmission among sensors and equipment, power line communication (PLC) is a widely adopted smart grid. However, due to the occurrence of impulsive noise (IN), reliable transmissions over PLC channels in the smart grid are challenging. Therefore, in this paper, we propose an adaptive noise mitigation scheme to clip the IN with the sliding window-based method, where the altitude of the received signal in the current time slots is obtained by computing the average altitude of signals in the previous and next time slots. To detect the states of IN and dynamically estimate the power threshold of signals …


Shifting Baselines: Visualizing Climate Change In America’S National Parks, Lee Lines Sep 2024

Shifting Baselines: Visualizing Climate Change In America’S National Parks, Lee Lines

Faculty Publications

No abstract provided.