Digital Commons Network^™

The Climate Impact Of Tropical Peatland Degradation, René Dommain, Steve Frolking, Aurich Jeltsch-Thömmes, Fortunat Joos, John Couwenberg, Paul Glaser, Alexander Cobb, Charles Harvey

Faculty Publications

Southeast Asia is a global hotspot of peatland degradation and related greenhouse gas emissions. Anthropogenic impacts, mainly associated with agricultural conversion, shift Southeast Asian peatlands from carbon sinks to significant carbon sources. Here we first describe the impacts of anthropogenic drainage on landscape-scale carbon dynamics of individual peatlands and then use an impulse‐response model of radiative forcing to quantify the climate impacts of peat-carbon losses. Whereas water-table elevation (i.e. drainage depth) determines the magnitude of CO2 emissions at the site-scale, the geometric arrangement of artificial drainage networks determines carbon losses on the landscape-scale. Among all peatland greenhouse gas fluxes, the …

“How Come I Don’T Look Like That”: The Negative Impact Of Wishful Identification With Influencers On Follower Well-Being, Ruonan Zhang, Trinideé Mercado, Yu Chen, Nicky Chang Bi

Faculty Publications

Purpose Building on Social Comparison Theory and Parasocial Relationship Theory, this study is designed to investigate how followers’ wishful identification with YouTube influencers is associated with their psychological well-being and how parasocial relationships with influencers moderate this association. Design/methodology/approach Influencer-fan data (N = 504) is collected through a Qualtrics survey in collaboration with a real-life influencer on YouTube. Hayes Process Modeling was used to conduct mediation and moderation analyses. Findings Results indicate that enjoyment of influencers’ videos positively leads to followers’ wishful identification, which negatively impacts their well-being. The parasocial relationship with the influencer was found to be a significant …

Impact Of Vaporization On Drop Aerobreakup, B. Boyd, S. Becker, Yue Stanley Ling

Faculty Publications

Aerodynamic breakup of vaporizing drops is commonly seen in many spray applications. While it is well known that vaporization can modulate interfacial instabilities, the impact of vaporization on drop aerobreakup is poorly understood. Detailed interface-resolved simulations were performed to systematically study the effect of vaporization, characterized by the Stefan number, on the drop breakup and acceleration for different Weber numbers and density ratios. It is observed that the resulting asymmetric vaporization rates and strengths of Stefan flow on the windward and leeward sides of the drop hinder bag development and prevent drop breakup. The critical Weber number thus generally increases …

Bound States And Particle Production By Breather-Type Background Field Configurations, Abhishek Rout, Brett Altschul

Faculty Publications

We investigate the interaction of fermion fields with oscillating domain walls, inspired by breather-type solutions of the sine-Gordon equation, a nonlinear system of fundamental importance. Our study focuses on the fermionic bound states and particle production induced by a time-dependent scalar background field. The fermions couple to two domain walls undergoing harmonic motion, and we explore the resulting dynamics of the fermionic wave functions. We demonstrate that while fermions initially form bound states around the domain walls, the energy provided by the oscillatory motion of the scalar field induces an outward flux of fermions and antifermions, leading to particle production …

Applying Machine‐Learning Methods To Laser Acceleration Of Protons: Lessons Learned From Synthetic Data, Ronak Desai, Thomas Zhang, J. J. Felice, Ricky Oropeza, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik

Faculty Publications

In this study, we consider three different machine-learning methods—a three-hidden-layer neural network, support vector regression, and Gaussian process regression—and compare how well they can learn from a synthetic data set for proton acceleration in the Target Normal Sheath Acceleration regime. The synthetic data set was generated from a previously published theoretical model by Fuchs et al. 2005 that we modified. Once trained, these machine-learning methods can assist with efforts to maximize the peak proton energy, or with the more general problem of configuring the laser system to produce a proton energy spectrum with desired characteristics. In our study, we focus …

Motivational Dysregulation With Melanocortin 4 Receptor Haploinsufficiency, Alex M. Steiner, Robert F. Roscoe, Rosemarie M. Booze, Charles F. Mactutus

Faculty Publications

Obesity, by any standard, is a global health crisis. Both genetic and dietary contributions to the development and maintenance of obesity were integral factors of our experimental design. As mutations of the melanocortin 4 receptors (MC4R) are the leading monogenetic cause of obesity, MC4R haploinsufficient rats were fed a range of dietary fat (0–12 %) in a longitudinal design. Physiological and motivational assessments were performed using a locomotor task, a 5-choice sucrose preference task, an operant task with fixed and progressive ratios, as well as a distraction operant task. Dendritic spine morphology of medium spiny neurons (MSNs) of the nucleus …

Strategies To Alleviate Flickering: Bayesian And Smoothing Methods For Deep Learning Classification In Video, Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce A. Cox, Trevor Bihl

Faculty Publications

Excerpt: Increasing reliance on autonomous systems requires confidence in the accuracies produced from computer vision classification algorithms. Computer vision (CV) for video classification provides phenomenal abilities, but it often suffers from “flickering” of results. Flickering occurs when the CV algorithm switches between declared classes over successive frames. Such behavior causes a loss of trust and confidence in their operations.

Sound Innovations For Biofabrication And Tissue Engineering, Mengxi Wu, Zhiteng Ma, Zhenhua Tian, Joseph Rich, Xin He, Jianping Xia, Ye He, Kaichun Yang, Shujie Yang, Kam W. Leong, Luke P. Lee, Tony Jun Huang

Faculty Publications

Advanced biofabrication techniques can create tissue-like constructs that can be applied for reconstructive surgery or as in vitro three-dimensional (3D) models for disease modeling and drug screening. While various biofabrication techniques have recently been widely reviewed in the literature, acoustics-based technologies still need to be explored. The rapidly increasing number of publications in the past two decades exploring the application of acoustic technologies highlights the tremendous potential of these technologies. In this review, we contend that acoustics-based methods can address many limitations inherent in other biofabrication techniques due to their unique advantages: noncontact manipulation, biocompatibility, deep tissue penetrability, versatility, precision …

Time Domain Spectral Lidar Enabled By Cascaded Raman In A Hydrogen-Filled Transmitter, Richard K. Martin, Trevor L. Courtney, Arielle M. Adams, Daniel E. Leaird, Luke Ausley, Christian K. Keyser

Faculty Publications

We introduce what we believe to be novel spectral light detection and ranging (LiDAR) architectures that enable ultra-compact systems by a transition from spectral signal processing in space (gratings) to processing in time. The architectures leverage temporal dispersion and the unique spectro-temporal waveforms produced from the cascaded Raman scattering generated in the (H₂) filled hollow core fiber. The characterized Raman source yields as many as six Raman orders from 1.06-1.70 μm; their unique spectro-temporal waveforms are measured. System performance simulations based on measured Raman waveforms show that high accuracy measurement of range and reflectivity are possible with proper …

Limitations Of Beam-Control Compensation, Matthew Kalensky, Darren Getts, Matthias T. Banet, Derek J. Burrell, Milo W. Hyde, Mark F. Spencer

Faculty Publications

In this paper, we use wave-optics simulations to explore the limitations of beam-control compensation. We evaluate performance in terms of the normalized power in a diffraction-limited bucket for the cases of no beam-control compensation, perfect phase compensation, and perfect full-field compensation. From these results, we are able to arrive at the following conclusions: (1) without any form of beam-control compensation, performance begins to degrade when D/r₀ > 1; (2) with perfect phase compensation, performance begins to degrade when D/r₀ > 1 and (λ/r₀)/θ₀ > 1; and (3) with perfect full-field compensation, performance begins to degrade when D/r_{0 …}

Ultra-Relativistic Electron Flux Enhancement Under Persistent High Speed Solar Wind Stream, L R. Alves, L A. Da Silva, V Deggeroni, J P. Marchezi, P R. Jauer, G B D Silva, D G. Sibeck

Faculty Publications

The physical mechanisms usually applied to explain the relativistic electron enhancement have been delved into to elucidate non-adiabatic electron acceleration resulting in the ultra-relativistic electron population observed in the outer radiation belt. We considered multisatellite observations of the solar wind parameters, magnetospheric waves, and particle flux to report an unusual local acceleration of ultra-relativistic electrons under a prolonged high-speed solar wind stream (HSS). A corotating interaction region reaches the Earth’s bowshock on August 3, 2016, causing a minor geomagnetic storm. Following this, the magnetosphere was driven for 72 h by a long-term HSS propagating at 600 km/s. During this period, …

Ultra-Relativistic Electron Flux Enhancement Under Persistent High Speed Solar Wind Stream, L R. Alves, L A. Da Silva, V Deggeroni, J P. Marchezi, P R. Jauer, G B D Silva, D G. Sibeck

Faculty Publications

The physical mechanisms usually applied to explain the relativistic electron enhancement have been delved into to elucidate non-adiabatic electron acceleration resulting in the ultra-relativistic electron population observed in the outer radiation belt. We considered multisatellite observations of the solar wind parameters, magnetospheric waves, and particle flux to report an unusual local acceleration of ultra-relativistic electrons under a prolonged high-speed solar wind stream (HSS). A corotating interaction region reaches the Earth’s bowshock on August 3, 2016, causing a minor geomagnetic storm. Following this, the magnetosphere was driven for 72 h by a long-term HSS propagating at 600 km/s. During this period, …

Exploring In-Service Science Teachers' Self-Perceptions Of Competence And Pedagogical Approaches To Socioscientific Issues In Education, Arberore Bicaj, Fatlume Berisha, Rachel Gisewhite

Faculty Publications

Global education experts are increasingly prioritizing scientific literacy development. Science education is key to enhancing scientific literacy, fostering social responsibility, and supporting economic growth by equipping individuals with essential scientific knowledge and skills. In the past two decades, socioscientific issues (SSI) have greatly influenced science education research, improving students’ ability to apply scientific knowledge in real-world contexts and advancing functional scientific literacy. Given the strong evidence that socioscientific issues (SSI) enhance scientific literacy and social responsibility skills, understanding SSI role in science education is crucial for developing countries aiming to boost economic and social growth. This research aimed to understand …

The Suppression Of Ocean Waves By Biogenic Slicks, Nathan J. M. Laxague, Christopher Zappa, Shantanu Soumya, Oliver Wurl

Faculty Publications

Surface waves are significantly damped by biogenic surfactants which accumulate at the ocean's surface from the high latitudes to the tropics. The growth, development, and breaking of short wind-driven surface waves is a key mediator of the air-sea exchange of momentum, heat, and trace gases consequently, the effect of surfactant compounds in the uppermost millimeters of the ocean in damping short surface waves bears on earth's climatic processes. The mechanisms through which surfactants suppress waves have been studied in great detail through careful laboratory experimentation in quasi one-dimensional wave tanks. However, the spatial scales over which this damping occurs in …

Inferring Tlb Configuration With Performance Tools, Cristian Agredo, Tor J. Langehaug, Scott R. Graham

Faculty Publications

Modern computing systems are primarily designed for maximum performance, which inadvertently introduces vulnerabilities at the micro-architecture level. While cache side-channel analysis has received significant attention, other Central Processing Units (CPUs) components like the Translation Lookaside Buffer (TLB) can also be exploited to leak sensitive information. This paper focuses on the TLB, a micro-architecture component that is vulnerable to side-channel attacks. Despite the coarse granularity at the page level, advancements in tools and techniques have made TLB information leakage feasible. The primary goal of this study is not to demonstrate the potential for information leakage from the TLB but to establish …

From "Open Ocean" To "Exposed Aquaculture": Why And How We Are Changing The Standard Terminology Describing "Offshore Aquaculture", Tyler Sclodnick, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Nils Goseberg, Kevin Gerald Heasman, Wolf Isbert, Gesche Krause, Daniel Wieczorek, Till Markus, Bela H. Buck

Faculty Publications

The term “offshore” with regards to aquaculture has hitherto encompassed various perspectives, including technology, geographic location, legal jurisdiction, and more. To resolve the ambiguity in this term and understand its implications for current and future aquaculture development, “offshore” should be resolved into two separate metrics: distance from shore and energy exposure. The United Nations Convention on the Law of the Sea (UNCLOS) distinguishes between internal waters, territorial sea, contiguous zone, exclusive economic zone (EEZ), and the high seas, but currently has no precise definition for “offshore” in its provisions, and therefore no applicable laws pertaining to “offshore” aquaculture. Regulating a …

Temperature Anisotropy Instabilities Driven By Intermittent Velocity Shears In The Solar Wind, Simon Opie, Daniel Verscharen, Christopher H K Chen, Christopher J. Owen, Philip A. Isenberg, Luca Sorriso-Valvo, Luca Franci, Lorenzo Matteini

Faculty Publications

Where and under what conditions the transfer of energy between electromagnetic fields and particles takes place in the solar wind remains an open question. We investigate the conditions that promote the growth of kinetic instabilities predicted by linear theory to infer how turbulence and temperature-anisotropy-driven instabilities are interrelated. Using a large dataset from Solar Orbiter, we introduce the radial rate of strain, a novel measure computed from single-spacecraft data, which we interpret as a proxy for the double-adiabatic strain rate. The solar wind exhibits high absolute values of the radial rate of strain at locations with large temperature anisotropy. We …

From "Open Ocean" To "Exposed Aquaculture": Why And How We Are Changing The Standard Terminology Describing "Offshore Aquaculture", Tyler Sclodnick, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Nils Goseberg, Kevin Gerald Heasman, Wolf Isbert, Gesche Krause, Daniel Wieczorek, Till Markus, Bela H. Buck

Faculty Publications

The term “offshore” with regards to aquaculture has hitherto encompassed various perspectives, including technology, geographic location, legal jurisdiction, and more. To resolve the ambiguity in this term and understand its implications for current and future aquaculture development, “offshore” should be resolved into two separate metrics: distance from shore and energy exposure. The United Nations Convention on the Law of the Sea (UNCLOS) distinguishes between internal waters, territorial sea, contiguous zone, exclusive economic zone (EEZ), and the high seas, but currently has no precise definition for “offshore” in its provisions, and therefore no applicable laws pertaining to “offshore” aquaculture. Regulating a …

Temperature Anisotropy Instabilities Driven By Intermittent Velocity Shears In The Solar Wind, Simon Opie, Daniel Verscharen, Christopher H K Chen, Christopher J. Owen, Philip A. Isenberg, Luca Sorriso-Valvo, Luca Franci, Lorenzo Matteini

Faculty Publications

Where and under what conditions the transfer of energy between electromagnetic fields and particles takes place in the solar wind remains an open question. We investigate the conditions that promote the growth of kinetic instabilities predicted by linear theory to infer how turbulence and temperature-anisotropy-driven instabilities are interrelated. Using a large dataset from Solar Orbiter, we introduce the radial rate of strain, a novel measure computed from single-spacecraft data, which we interpret as a proxy for the double-adiabatic strain rate. The solar wind exhibits high absolute values of the radial rate of strain at locations with large temperature anisotropy. We …

Human Hnrnpa1 Reorganizes Telomere-Bound Replication Protein A, Sophie L. Granger, Richa Sharma, Vikas Kaushik, Mortezaali Razzaghi, Masayoshi Honda, Paras Gaur, Divya S. Bhat, Sabryn M. Labenz, Jenna E. Heinen, Blaine A. Williams, S. M. Ali Tabei, Marcin W. Wlodarski

Faculty Publications

Human replication protein A (RPA) is a heterotrimeric ssDNA binding protein responsible for many aspects of cellular DNA metabolism. Dynamic interactions of the four RPA DNA binding domains (DBDs) with DNA control replacement of RPA by downstream proteins in various cellular metabolic pathways. RPA plays several important functions at telomeres where it binds to and melts telomeric G-quadruplexes, non-canonical DNA structures formed at the G-rich telomeric ssDNA overhangs. Here, we combine single-molecule total internal reflection fluorescence microscopy (smTIRFM) and mass photometry (MP) with biophysical and biochemical analyses to demonstrate that heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) specifically remodels RPA bound to …

Rural-Urban Disparities And Trends In Cancer Screening: An Analysis Of Behavioral Risk Factor Surveillance System Data (2018-2022), Gabriel A. Benavidez, Ami E. Sedani, Tisha Moniek Felder Phd, Msw, Matthew Asare, Charles R. Rogers

Faculty Publications

Background

Despite evidence of the benefit of routine cancer screenings, data show a concerning decline in cancer screening uptake for multiple cancers. This analysis aimed to examine rural-urban differences in recent trends for being up-to-date with screenings for breast, cervical, and colorectal cancers.

Methods

We used 2018, 2020, and 2022 Behavioral Risk Factor Surveillance System data to assess up-to-date cancer screening status among eligible adults in the United States. We calculated weighted prevalence estimates overall and stratified by county-level rural-urban classification. We used survey-weighted multivariable logistic regression models to examine rural-urban disparities in cancer screening up-to-date status by year.