Digital Commons Network^™

Evidence For A Shock-Compressed Magnetic Field In The Northwestern Rim Of Vela Jr. From X-Ray Polarimetry, Dmitry A. Prokhorov, Yi Jung Yang, Riccardo Ferrazzoli, Jacco Vink, Patrick Slane, Enrico Costa, Stefano Silvestri, Ping Zhou, Niccolò Bucciantini, Alessandro Di Marco, Martin C. Weisskopf, Luca Baldini, Victor Doroshenko, Steven R. Ehlert, Jeremy Heyl, Philip Kaaret, Dawoon E. Kim, Frédéric Marin, Tsunefumi Mizuno, Chi Yung Ng, Melissa Pesce-Rollins, Carmelo Sgrò, Paolo Soffitta, Douglas A. Swartz, Toru Tamagawa, Fei Xie, Iván Agudo, Lucio A. Antonelli, Matteo Bachetti, Wayne H. Baumgartner, Ronaldo Bellazzini, Stefano Bianchi, Stephen D. Bongiorno

Faculty Publications

Synchrotron X-ray emission has been detected from nearly a dozen young supernova remnants (SNRs). X-rays of synchrotron origin exhibit linear polarization in a regular, non-randomly oriented magnetic field. The significant polarized X-ray emission from four such SNRs has already been reported on the basis of observations with the Imaging X-ray Polarimetry Explorer (IXPE). The magnetic-field structure as derived from IXPE observations is radial for Cassiopeia A, Tycho's SNR, and SN 1006, and tangential for RX J1713.7-3946. The latter together with the recent detection of a tangential magnetic field in SNR 1E 0102.2-7219 by the Australia Telescope Compact Array in the …

-Decay Half-Life Predictions With Support Vector Machine, Amir Jalili, Feng Pan, Jerry P. Draayer, Ai Xi Chen, Zhongzhou Ren

Faculty Publications

In this study, we investigate the application of support vector machines utilizing a radial basis function kernel for predicting nuclear -decay half-lives. Our approach integrates a comprehensive set of physics-derived features, including characteristics derived from nuclear structure, to systematically evaluate their impact on predictive accuracy. In addition to traditional parameters such as proton and neutron numbers, as well as terms based on the liquid drop model (e.g., volume, surface, Coulomb features), we incorporate decay energies and orbital angular momentum quantum numbers for both parent and daughter nuclei. Our analysis of 2232 nuclear data points demonstrates that the use of the …

Uncertainty Quantification Of Collective Nuclear Observables From The Chiral Potential Parametrization, Kevin S. Becker, Kristina D. Launey, Andreas Ekström, Tomáš Dytrych, Daniel Langr, Grigor H. Sargsyan, Jerry P. Draayer

Faculty Publications

We perform an uncertainty estimate of quadrupole moments and B(E2) transition rates that inform nuclear collectivity. In particular, we study the low-lying states of ⁶Li and ¹²C using the ab initio symmetry-adapted no-core-shell model. For a narrow standard deviation of approximately 1% on the low-energy constants which parametrize high-precision chiral potentials, we find output standard deviations in the collective observables ranging from approximately 3%-6%. The results mark the first step towards a rigorous uncertainty quantification of collectivity in nuclei that aims to account for all sources of uncertainty in ab initio descriptions of challenging collective and clustering observables.

Epitaxial Films And Devices Of Transparent Conducting Oxides: La:Basno3, Prosper Ngabonziza, Arnaud P. Nono Tchiomo

Faculty Publications

This paper reviews recent developments in materials science and device physics of high-quality epitaxial films of the transparent perovskite La-doped barium stannate, La:BaSnO3. It presents current efforts in the synthesis science of epitaxial La:BaSnO3 films for achieving reduced defect densities and high electron mobility at room temperature. We discuss the scattering mechanisms and the route toward engineering defect-free epitaxial La:BaSnO3 heterostructures. By combining chemical surface characterization and electronic transport studies, special emphasis is laid on the proper correlation between the transport properties and the electronic band structure of La:BaSnO3 films and heterostructures. For application purposes, interesting optical properties of La:BaSnO3 …

Systematic Improvements In Transmon Qubit Coherence Enabled By Niobium Surface Encapsulation, Mustafa Bal, Akshay A. Murthy, Shaojiang Zhu, Francesco Crisa, Xinyuan You, Ziwen Huang, Tanay Roy, Jaeyel Lee, David Van Zanten, Roman Pilipenko, Ivan Nekrashevich, Andrei Lunin, Daniel Bafia, Yulia Krasnikova, Cameron J. Kopas, Ella O. Lachman, Duncan Miller, Josh Y. Mutus, Matthew J. Reagor, Hilal Cansizoglu, Jayss Marshall, David P. Pappas, Kim Vu, Kameshwar Yadavalli, Jin Su Oh, Lin Zhou, Matthew J. Kramer, Florent Lecocq, Dominic P. Goronzy, Carlos G. Torres-Castanedo, P. Graham Pritchard, Vinayak P. Dravid, James M. Rondinelli

Faculty Publications

We present a transmon qubit fabrication technique that yields systematic improvements in T1 relaxation times. We encapsulate the surface of niobium and prevent the formation of its lossy surface oxide. By maintaining the same superconducting metal and only varying the surface, this comparative investigation examining different capping materials, such as tantalum, aluminum, titanium nitride, and gold, as well as substrates across different qubit foundries demonstrates the detrimental impact that niobium oxides have on coherence times of superconducting qubits, compared to native oxides of tantalum, aluminum or titanium nitride. Our surface-encapsulated niobium qubit devices exhibit T1 relaxation times 2–5 times longer …

Metabarcoding The Arctic Ocean Helps Reveal Its Hidden Microbial Community Composition, Rafet Çağrı Öztürk, Yahya Terzi, Sheila Rodríguez-Machado, Ersan Başar, Ali Muzaffer Feyzioğlu, Dilek Ustaoğlu, Ertuğrul Ağırbaş, Prosanta Chakrabarty

Faculty Publications

The Arctic Ocean supports a unique and dynamic microbial community, yet its composition, structure, and response to environmental shifts remain incompletely understood. In this study, 16S rRNA gene metabarcoding (targeting the V3-V4 and V4-V5 hypervariable regions) was used to assess surface water microbial diversity across 20 stations in the Barents Sea, focusing on latitudinal variations within two contrasting current systems: the West Spitsbergen Current (WSC) and the East Spitsbergen Current (ESC). Our results showed that the microbial community is dominated by three primary families—Pseudoalteromonadaceae, Moraxellaceae, and Flavobacteriaceae (14.20%). Comparative analysis of the V3-V4 and V4-V5 regions reveals that each region …

Global Well-Posedness For Supercritical Sqg With Perturbations Of Radially Symmetric Data, Aynur Bulut, Hongjie Dong

Faculty Publications

We study the global well-posedness of the supercritical dissipative surface quasi-geostrophic (SQG) equation, a key model in geophysical fluid dynamics. While local well-posedness is known, achieving global well-posedness for large initial data remains open. Motivated by enhanced decay in radial solutions, we aim to establish global well-posedness for small perturbations of potentially large radial data. Our main result shows that for small perturbations of radial data, the SQG equation admits a unique global solution.

Creating A Bio-Based Circular Economy From Louisiana Sugarcane Byproducts, G. Aita, D. Bhatnagar, G. O. Bruni, M. Deliberto, G. Eggleston, A. Finger, K. Gravois, M. Isied, W. Judice, K. T. Klasson, I. M. Lima, J. L. Purswell, M. Souliman, E. Terrell, B. S. Tubaña, H. L. Waguespack, J. J. Wang, P. M. White

Faculty Publications

Abstract: Sugarcane (Saccharum officinarum) is Louisiana's number one row crop. Growing and processing sugarcane produces significant amounts of byproducts, including bagasse, crop residue, molasses, filter-press mud, and boiler fly ash. These products represent an important opportunity to generate value-added and specialty products and enhance sugarcane's sustainability by facilitating a circular economy, where agricultural by-products are reused instead of disposing them (linear economy), in order to reduce resource use and energy demand. Examples of value-added products range from biochar, construction materials, animal feed, biofuels, nanoparticles, and fertilizer. Paramount to the success of the bio-based circular economy is creating useful products that …

Management Strategies For Preventing And Recovering From Bermudagrass Winterkill, W. J. Hutchens, T. Q. Carr, A. J. Patton, C. A. Bigelow, E. J. Deboer, J. M. Goatley, D. L. Martin, D. S. Mccall, G. L. Miller, J. S. Powlen, M. D. Richardson, M. Xiang

Faculty Publications

Bermudagrass (Cynodon spp. Rich) is a warm-season grass that is widely planted throughout tropical, sub-tropical, and even temperate climates, and it generally requires fewer inputs than most cool-season turfgrasses. In recent years, the area of adaptation for bermudagrass has progressively expanded to cooler climates due to the development of more cold-tolerant cultivars. The expanded area of adaptation as well as the reduced inputs required to maintain healthy turfgrass have made bermudagrass a popular choice in areas of marginal adaptation. In these areas, the greatest threat to bermudagrass health and survivability is winterkill. This management guide seeks to describe winterkill: what …

Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, …

Current Situation And Prospect Of Geospatial Ai In Air Pollution Prediction, Chunlai Wu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming increasingly prominent. This article briefly reviews the utilization of geographic artificial intelligence (AI) in air pollution. Firstly, this paper conducts a literature metrology analysis on the research of geographical AI used in air pollution. That is, 607 documents are retrieved from the Web of Science (WOS) using appropriate keywords, and literature metrology analysis is conducted using Citespace to summarize research hotspots and frontier countries in this field. Among them, China plays a constructive role in the fields of geographic …

International Pcos Guideline Clinical Research Priorities Roadmap: A Co-Designed Approach Aligned With End-User Priorities In A Neglected Women's Health Condition, H. J. Teede, M. Gibson, J. Laven, A. Dokras, L. J. Moran, T. Piltonin, M. Costello, A. Mousa, A. E. Joham, C. T. Tay, Wiebke Arlt, Ricardo Azziz, Adam Balen, Lisa Bedson, Lorna Berry, Jacky Boivin, Jacqueline Boyle, Leah Brennan, Wendy Brown, Tania Burgert, Maureen Busby, Carolyn Ee, Rhonda M. Garad, Cheryce Harrison, Roger Hart, Marie Misso, Rachel Morman, Angelica Lindén Hirschberg, Tuong Ho, Kathleen Hoeger, Sonia Jitpiriyaroj, Cailin Jordan, Richard S. Legro, Rong Li

Clinical Research Faculty Publications

Background: Polycystic ovary syndrome (PCOS) is a common endocrinopathy with significant reproductive, metabolic, and psychological complications. Consensus on PCOS clinical research priorities across end-users is fundamental and necessitates a robust co-development of a clinical research roadmap to guide international research efforts. Methods: A multistage process included: i) international surveys of women and healthcare providers to identify research priorities and unmet needs; ii) interrogation of systematic reviews conducted for the International PCOS Guideline to identify research gaps; iii) International PCOS Guideline Network consensus generated clinical research roadmap; and iv) international peer review for external validation. Findings: A codesigned survey engaging 1278 …

Detecting N-Phenyl-2-Naphthylamine, L-Arabinose, D-Mannose, L-Phenylalanine, L-Methionine, And D-Trehalose Via Photocurrent Measurement, Feng Li, Ruoxi Yang, Jian Xu, Guohai Xu, Ye Wu

Faculty Publications

The concentration of small molecules reflects the normality of physiological processes in the human body, making the development of simple and efficient detection equipment essential. In this work, inspired by a facile strategy in point-of-care detection, two devices were fabricated to detect small molecules via photocurrent measurement. A linear response of the photocurrent against the concentration of the small molecules was found. In the first device, metal ions were introduced into gel substrates made by xanthan gum to enhance photocurrent response. N-phenyl-2-naphthylamine was measured when iron or manganese ions were used. L-Phenylalanine was measured when the gel was modified by …

Cryo-Em Structure Of A Photosystem I Variant Containing An Unusual Plastoquinone Derivative In Its Electron Transfer Chain, Christopher J. Gisriel, Vasily Kurashov, David F. Iwig, Brandon P. Russell, David J. Vinyard, Gary W. Brudvig, John H. Golbeck, K. V. Lakshmi

Faculty Publications

Photosystem I (PS I) is a light-driven oxidoreductase responsible for converting photons into chemical bond energy. Its application for renewable energy was revolutionized by the creation of the MenB deletion (ΔmenB) variant in the cyanobacterium Synechocystis sp. PCC 6803, in which phylloquinone is replaced by plastoquinone-9 with a low binding affinity. This permits its exchange with exogenous quinones covalently coupled to dihydrogen catalysts that bind with high affinity, thereby converting PS I into a stable solar fuel catalyst. Here, we reveal the 2.03-Å-resolution cryo-EM structure of a recent MenB variant of PS I. The quinones and their binding environment are …

Beyond Surrealism: The Developing Keyboard Style Of André Souris, Melanie T. Mallard

LSU Doctoral Dissertations

André Souris (1899-1970) is perhaps best known as a musical contributor to the Belgian surrealist group founded by Paul Nougé, but he assumed many roles throughout his life, including composer, writer, director, and promoter of modern music. His various interests influenced the style of his compositions, which remain largely unpublished and have received little scholarly attention beyond researchers of surrealism. Through this survey of many of Souris’ works for keyboard, I attempt to lay the groundwork for further discussion about Souris’ musical contributions not only through the lens of surrealism but also throughout his compositional career. This descriptive analysis of …

Metabolic Scaling, Energy Allocation Tradeoffs, And The Evolution Of Humans’ Unique Metabolism, Andrew K. Yegian, Steven B. Heymsfield, Eric R. Castillo, Manfred J. Müller, Leanne M. Redman, Daniel E. Lieberman

Clinical Research Faculty Publications

All organisms use limited energy to grow, survive, and reproduce, necessitating energy allocation tradeoffs, but there is debate over how selection impacted metabolic budgets and tradeoffs in primates, including humans. Here, we develop a method to compare metabolic rates as quotients of observed relative to expected values for mammals corrected for size, body composition, environmental temperature, and phylogenetic relatedness. Contrary to previous analyses, these quotients reveal that nonhuman primates have total metabolic rates expected for similar-sized mammals in similar environments. In addition, data from several small-scale societies show that humans evolved exceptionally high resting, activity, and total metabolic rates apparently …

Understanding Mechanisms For Coastal Marsh Sustainability In A Changing Climate, Ashley R. Booth

LSU Doctoral Dissertations

In the Chenier Plain of Louisiana and Texas, coastal marshes are subject to high rates of relative sea level rise (RSLR), restricted sedimentation, and declining elevation attributed to subsidence and decades of intensive management. These marshes were created via mineral sedimentation but now largely accrete via organic matter accumulation. This organic matter accumulation (OMA) – or the balance between plant productivity and decomposition – is essential for maintaining elevation and thus long-term sustainability. However, management for elevation is complicated by a poor understanding of how abiotic factors like flooding and salinity impact processes driving OMA and elevation. To better understand …

Safeguarding Ecological Knowledge From The Effects Of Climate Change: An Archival Approach, Daena Jean Carrillo

LSU Doctoral Dissertations

Creating resources that facilitate the preservation of community-based archives and ecological knowledge in the Louisiana coastal region is integral to its survival amongst the effects of climate change. Research and records created and stored within the Louisiana coastal region have a higher predisposition to the drastic and pervasive effects of climate change and natural disasters. Modern archivists can insert themselves into the work of climate change action through their advocacy of safeguarding collections that have been created by communities and individuals through raw scientific and observational data and unpublished research. Just as archivists continue to frame their professional work around …

Integrated Sustainability Analysis Of A Shared Micro-Mobility System In University Campus: Life-Cycle Assessment And User Impact Study Of Electric Scooters, Md Afif Rahman Chowdhury

LSU Master's Theses

The objective of this study is to evaluate the environmental, economic, and social impacts of implementing e-scooter technology on the LSU campus. The study is structured into three main parts: (1) an environmental life-cycle assessment of e-scooters, (2) a comparative environmental and economic impact assessment of e-scooters, cars, and campus shuttle buses, and (3) a comprehensive survey of e-scooter users to assess their characteristics, satisfaction levels, and comfort while using e-scooters on the LSU campus.

To achieve the objectives of the study, a life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw …

Vision-Language Integration For Enhanced Locomotion Mode Prediction, Ehsan Ahmadi

LSU Master's Theses

Wearable exoskeletons offer significant potential in enhancing human mobility in industrial environments. However, their adaptability to dynamic, task-intensive settings presents challenges, especially in accurately predicting locomotion modes such as ladder climbing, stair navigation, low-space movement, and obstacle navigation. This research proposes a multimodal framework that integrates visual data and speech commands to improve locomotion mode prediction in unpredictable environments. Multimodal data was collected using smart glasses, capturing both the user’s perspective (field-of-view, FOV) and voice during locomotion tasks. State-of-the-art models—CLIP, ImageBind, and GPT-4o—process these visual and linguistic inputs to predict locomotion activities. The models were evaluated in zero-shot and fine-tuned …

Forensicllm: A Local Large Language Model For Digital Forensics, Binaya Sharma

LSU Master's Theses

Large Language Models (LLMs) excel in diverse natural language tasks but often lack specialization in fields like digital forensics. Their reliance on cloud-based APIs or high-performance computers restricts their use in resource-limited environments, and response hallucinations could compromise their applicability in forensic contexts. We introduce ForensicLLM, a 4-bit quantized LLaMA-3.1-8B model fine-tuned using Retrieval Augmented Fine-tuning (RAFT) on 6,739 Q&A samples extracted from 1,082 digital forensic research articles and curated digital artifacts. Evaluation on 2,244 Q&A samples showed that ForensicLLM outperformed the base LLaMA-3.1-8B model by 4.06%, 5.43%, and 15.79% on BERTScore F1, BGE-M3 cosine similarity, and G-Eval, respectively. Compared …

Measuring And Modeling Grease Degradation, Alan Gurt

LSU Doctoral Dissertations

Lubricating grease is an ideal lubricant for many devices such as roller bearings, journal bearings, slide bearings, gears, and many types of joints due to its simplicity. Once grease is put in place, it can often provide adequate lubrication for extended periods of time without the need for a complex supply system that would generally be needed for oil lubrication. However, during prolonged use, various degradation mechanisms change the physical and chemical properties of grease, possibly leading to inadequate performance and machinery failure.

In order to succinctly quantify the degradation of grease, it is essential to have robust, meaningful test …

Development Of Machine Learning-Based Tool For Prediction Of Long-Term Field Performance Of Asphalt Concrete Overlays In A Hot And Humid Climate, Elise Mansour

LSU Doctoral Dissertations

The performance of pavement plays a critical role in Maintenance, Rehabilitation and Reconstruction (MR&R) for highway agencies. Reliable and accurate estimation of pavement performance can be instrumental in prioritization of the limited resources and funding for highway agencies. The latter requires robust prediction models that can handle large-scale, real-world data and can forecast pavement performance in the long run. Unfortunately, the traditional performance prediction models have raised concerns regarding their efficiency and accuracy. It is because these models were based on a limited number of explanatory variables, were not up-to-date and were designed for forecasting short-term (up to five years) …

Effect Of Workload And Trust On Automation Levels In Human-Robot Collaboration, Abhiram Maddula

LSU Master's Theses

Automation is becoming increasingly common in manufacturing and assembly plants. The future lies in hybrid workspaces where the strengths of humans and robots complement each other, with robots excelling in precision, speed, and strength, and humans excelling in creativity, emotional intelligence, and complex decision-making. Collaborative robots can foster a more efficient and productive work environment by bridging the gap between human and machine capabilities. This study examines how semi-automated and automated modes impact human-robot collaboration, focusing on mental workload, trust, and task performance.

In this experiment, 58 participants performed a primary task alongside a collaborative robot assembling a miniature lamppost …

Gastrointestinal Ischemia In The Horse: Preoperative Detection And Surgical Intervention, Michael P. St. Blanc

LSU Master's Theses

The objective of this study was to evaluate the utility of calprotectin, a protein released by activated leukocytes during inflammation, in the detection of gastrointestinal ischemia in horses with signs of abdominal pain (colic). Additionally, one-layer end-to-end anastomoses of the descending colon were critically evaluated in comparison to two-layer closures. For the calprotectin portion of the study, samples were obtained from ten control horses and nineteen clinical cases assigned to three treatment groups (non-strangulating, strangulating small intestinal, or strangulating large intestinal lesions). Objective data was collected from each patient, and calprotectin concentration in serum and peritoneal fluid was determined using …

Evaluating Growth Of Coastal Grass In Recycled Glass Sand: Evidence For Safe Application In Coastal Restoration, Allison B. Huddleston

Honors Capstones

Louisiana’s coastal land loss results from complex interactions of anthropogenic and naturally occurring processes that impact sediment supply in the Mississippi river delta. Given the coastline's vital role in the state’s economy, Louisiana has made significant investments in coastal restoration projects, including planting native vegetation and adding borrowed sediments. The amount of sediment needed to maintain Louisiana’s existing coastline exceeds the available amount that could be extracted, and state officials have since identified this lack of sustainable sediment resources as a critical limitation for future restoration projects. One proposed solution to address this shortage is using recycled crushed glass cullet …

Mobilizing The Masks Of Carnaval For A Re-Reading Of Zobel's Rue Cases-Nègres, Benjamin E. Tilson

Tête à Tête: Journal of Francophone Studies

The identity of Caribbean literature, subject to the forces of domination and exclusion, has long been contested from both within and outside of its field. Alternately described as imitating, reappropriating, indigenizing and reductionist, Caribbean writers have sought to carve out a space for works that are received as authentic without recourse to fetishes. Drawing upon the works of Maryse Condé, the Creolists and anthropologic studies of Carnaval, the present work attempts to analyze what might be termed alternative narratives, characters and symbols in Joseph Zobel’s novel La Rue Cases-Nègres and its filmic adaptation by Euzhan Palcy through the lens of …

De La Saleté A La Poésie : Portrait De La France Périphérique Dans L’Été Des Charognes De Simon Johannin, Julie Catel

Tête à Tête: Journal of Francophone Studies

Simon Johannin's debut novel, "L'Été des charognes," published in 2017, offers a vivid portrayal of life in La Fourrière, an isolated village located in the Vosges. This area falls within what the French sociologist Christophe Guilluy terms 'France périphérique,' which refers to rural regions plagued by poverty and a sense of neglect. Through the perspective of an adolescent narrator, Johannin depicts the village's harsh daily reality, emphasizing its pervasive violence and the filth that characterizes its landscape. The narrative is saturated with descriptions of unpleasant odors, particularly from the decomposing carcasses of farm animals awaiting disposal, which permeate the village …

Pooled Analysis Of Physical Activity, Sedentary Behavior, And Sleep Among Children From 33 Countries, Kar Hau Chong, Thomas Suesse, Penny L. Cross, Sarah T. Ryan, Eivind Aadland, Oluwayomi Aoko, Ankhmaa Byambaa, Valerie Carson, Jean Philippe Chaput, Hayley Christian, Dylan P. Cliff, Marieke De Craemer, Clarice Maria De Lucena Martins, Christine Delisle Nyström, Catherine E. Draper, Asmaa El Hamdouchi, Alex Antonio Florindo, Hongyan Guan, Amy S. Ha, Najmeh Hamzavi Zarghani, Kylie D. Hesketh, Mohammad Sorowar Hossain, Jajat Jajat, Thanh Kim, Denise Koh, Anna V. Kontsevaya, Nicholas Kuzik, Marja H. Leppänen, Marie Löf, Himangi Lubree, Kim Meredith-Jones, Tawonga W. Mwase-Vuma, Johan Y.Y. Ng, Rachel Novotny

Population and Public Health Science Faculty Publications

Importance: The prevalence estimates of physical activity, sedentary behavior, and sleep (collectively known as movement behaviors) in 3-and 4-year-old children worldwide remains uncertain. Objective: To report the proportion of 3-and 4-year-old children who met the World Health Organization guidelines for physical activity, sedentary behavior, and sleep across 33 countries. Design, Setting, and Participants: Pooled analysis of data from 14 cross-sectional studies (July 2008 to September 2022) identified through systematic reviews and personal networks. Thirty-Three countries of varying income levels across 6 geographical regions. Each study site needed to have at least 40 children aged 3.0 to 4.9 years with valid …

Short Communication: Numerically Simulated Time To Steady State Is Not A Reliable Measure Of Landscape Response Time, Nicole M. Gasparini, Adam M. Forte, Katherine R. Barnhart

Faculty Publications

Quantifying the timescales over which landscapes evolve is critical for understanding past and future environmental change. Computational landscape evolution models are one tool among many that have been used in this pursuit. We compare numerically modeled times to reach steady state for a landscape adjusting to an increase in rock uplift rate. We use three different numerical modeling libraries and explore the impact of time step, grid type, numerical method for solving the erosion equation, and metric for quantifying the time to steady state. We find that modeled time to steady state is impacted by all of these variables. Time …