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Articles 2011 - 2040 of 45702
Full-Text Articles in Entire DC Network
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
Faculty Publications
Micromechanical modelling of particulate composites with non-ellipsoidal particle shapes presents significant challenges because analytical approaches based on the fundamental results of Eshelby cannot be used. On the other side, direct numerical evaluations by finite element analysis can involve high computational cost in the case when particle features have small radius of curvature, sharp edges and require extremely fine meshes. This paper proposes substituting the exact particle shape with a surrogate model producing approximately the same contribution to the effective elastic moduli. We illustrate our approach by considering rotationally symmetric 3D particle shapes with the external surface defined by the Laplace's …
Le Ministère Et L'Intelligence Artificielle, Rogelio Paquini
Le Ministère Et L'Intelligence Artificielle, Rogelio Paquini
Faculty Publications
No abstract provided.
The Sanctuary In Historical Perspective: Exploring The Development Of A Core Adventist Belief, Denis Kaiser
The Sanctuary In Historical Perspective: Exploring The Development Of A Core Adventist Belief, Denis Kaiser
Faculty Publications
No abstract provided.
Regulating Crypto Intermediaries, Eric D. Chason
Regulating Crypto Intermediaries, Eric D. Chason
Faculty Publications
Early 2024 produced a dramatic rebound in cryptocurrency markets as Bitcoin hit an all-time high price in March 2024. This surge was fueled in large part by judicial and regulatory action. After years of denials and a high-profile defeat in court, the U.S. Securities and Exchange Commission (SEC) finally approved the first exchange-traded funds (ETFs) for Bitcoin in January 2024. Many believe that these approvals will lead to a greater shift of investment funds into crypto. Crypto regulation is not, however, ready for this shift. While ETFs have clear treatment under current law, other institutions lack the same clarity or …
Extraterritoriality's Empire: How Self-Determination Limits Extraterritorial Lawmaking, Evan J. Criddle
Extraterritoriality's Empire: How Self-Determination Limits Extraterritorial Lawmaking, Evan J. Criddle
Faculty Publications
In recent years, a growing number of countries have courted controversy by regulating activities outside their borders. They have used extraterritorial lawmaking to cultivate competitive global markets, strengthen or weaken data privacy, combat foreign terrorism and military aggression, promote human rights abroad, and suppress political dissent at home. This Article explores whether extraterritorial lawmaking can be reconciled with the right to self-determination under international law. I argue that the right to self-determination entitles each national polity to determine the laws and institutions by which it is governed within its territory. Extraterritorial lawmaking violates the right to self-determination when it subjects …
Real-Time Synthesis Of A Nonuniformly Correlated, Partially Coherent Beam Using An Optical Coordinate Tansformation, Milo W. Hyde Iv
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
Return To Eden: God’S Design For Human Sexuality In The Song Of Songs, Richard M. Davidson
Faculty Publications
No abstract provided.
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
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, …
The Good News Of The Investigative Judgment: Finding Joy In An Unlikely Doctrine, Richard M. Davidson
The Good News Of The Investigative Judgment: Finding Joy In An Unlikely Doctrine, Richard M. Davidson
Faculty Publications
No abstract provided.
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
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, …
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
Faculty Publications
Micromechanical modelling of particulate composites with non-ellipsoidal particle shapes presents significant challenges because analytical approaches based on the fundamental results of Eshelby cannot be used. On the other side, direct numerical evaluations by finite element analysis can involve high computational cost in the case when particle features have small radius of curvature, sharp edges and require extremely fine meshes. This paper proposes substituting the exact particle shape with a surrogate model producing approximately the same contribution to the effective elastic moduli. We illustrate our approach by considering rotationally symmetric 3D particle shapes with the external surface defined by the Laplace's …
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
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 …
High-Latitude Observations Of Dissipation-Range Turbulence By The Ulysses Spacecraft During The Solar Minimum Of 1993–96: The Spectral Break And Anisotropy, Abigale S. Watson, Charles W. Smith, Anastasia V. Marchuk, Matthew R. Argall, Colin J. Joyce, Philip A. Isenberg, Bernard J. Vasquez, Nathan A. Schwadron, Neil Murphy
High-Latitude Observations Of Dissipation-Range Turbulence By The Ulysses Spacecraft During The Solar Minimum Of 1993–96: The Spectral Break And Anisotropy, Abigale S. Watson, Charles W. Smith, Anastasia V. Marchuk, Matthew R. Argall, Colin J. Joyce, Philip A. Isenberg, Bernard J. Vasquez, Nathan A. Schwadron, Neil Murphy
Faculty Publications
We examine Ulysses magnetic field observations from 1993 to 1996 as the spacecraft made its first fast-latitude scan from the southern to the northern hemisphere. Most of the observations we use are representative of high-latitude solar minimum conditions. We examine magnetic field power spectra characteristics of interplanetary turbulence at high frequencies, where the spectrum breaks from an inertial range into the ion dissipation range. The onset and spectral index of the dissipation spectrum are consistent with low-latitude observations at 1 au. Both ranges have a ratio of power in perpendicular magnetic field components to parallel components near 3. The power …
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
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 …
Dynamic Localization Of Endoplasmic Reticulum During Tetrahymena Conjugation, Guerrier Sabrice, Michael Patterson, Kaitlin Crofton, Michael Tucker, Shyhiem Walker
Dynamic Localization Of Endoplasmic Reticulum During Tetrahymena Conjugation, Guerrier Sabrice, Michael Patterson, Kaitlin Crofton, Michael Tucker, Shyhiem Walker
Faculty Publications
Changes in lipid composition at membrane fusion sites in mating Tetrahymena are thought to involve the endoplasmic reticulum (ER), but its localization to these sites has not been observed. Here we show ER distribution during Tetrahymena mating using TtRET1-GFP and GFP-KDEL. We find that both markers localize to perinuclear membranes and tubular structures that connect perinuclear membrane to plasma membrane at fusion sites. Interestingly, both markers disappear from parental macronuclei after emergence of zygotic macronuclei. These similarities in localization of established ER marker, GFP-KDEL, and TtRET1-GFP reveal TtRET1-GFP as a useful new live cell marker for the ER in Tetrahymena.
A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel
A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel
Faculty Publications
A large literature has shown money demand functions constructed from simple-sum aggregates are unstable. We revisit the controversy surrounding the instability of money demand by examining cointegrating income-money relationships with the Divisia monetary aggregates for the U.S., and compare them with their simple-sum counterparts. We innovate by conducting a more granular analysis of various monetary assets and their associated user costs. We find characterizing money demand with simple-sum measures only works well in a period preceding 1980. Divisia aggregates, their components, and their user costs provide a more reliable interpretation of money demand. Subsample analysis across 1980 and 2008 suggests …
Accurate Crystal Structure Prediction Of New 2d Hybrid Organic–Inorganic Perovskites, Nima Karimitari, William J. Baldwin, Evan W. Muller, Zachary J.L. Bare, W. Joshua Kennedy, Gábor Csányi, Christopher Sutton
Accurate Crystal Structure Prediction Of New 2d Hybrid Organic–Inorganic Perovskites, Nima Karimitari, William J. Baldwin, Evan W. Muller, Zachary J.L. Bare, W. Joshua Kennedy, Gábor Csányi, Christopher Sutton
Faculty Publications
Low-dimensional hybrid organic–inorganic perovskites (HOIPs) are promising electronically active materials for light absorption and emission. The design space of HOIPs is extremely large, as a variety of organic cations can be combined with different inorganic frameworks. This not only allows for tunable electronic and mechanical properties but also necessitates the development of new tools for in silico high throughput analysis of candidate materials. In this work, we present an accurate, efficient, and widely applicable machine learning interatomic potential (MLIP) trained on 86 diverse experimentally reported HOIP materials. This MLIP was tested on 73 experimentally reported perovskite compositions and achieves a …
Lignin Cationization For The Removal Of Phosphates And Nitrates From Effluents Of Wastewater Treatment Plants, Fannyuy V. Kewir, Carlos E. Astete, Divine B. Nde, Jessica R. Eberhard, W. David Constant, Cristina M. Sabliov
Lignin Cationization For The Removal Of Phosphates And Nitrates From Effluents Of Wastewater Treatment Plants, Fannyuy V. Kewir, Carlos E. Astete, Divine B. Nde, Jessica R. Eberhard, W. David Constant, Cristina M. Sabliov
Faculty Publications
The removal of phosphates and nitrates from wastewater treatment plant (WWTP) effluents is important for preventing pollution of receiving waters. In this study, we chemically modified alkaline lignin (aLN) with quaternary ammonium groups to obtain biodegradable cationic lignin (cLN). We characterized the cLN and tested its efficacy for removing phosphates and nitrates in a lab setting and on field-collected WWTP samples. Adsorption isotherm and kinetic studies were performed in aqueous media, and the effects of several variables (contact time, pH, initial concentration, and adsorbent dose) were investigated. The Langmuir isotherm described phosphate and nitrate adsorption well, with R2 values of …
Flexible Operation Of Nuclear Hybrid Energy Systems For Load Following And Water Desalination, An Ho, Blake W. Billings, John Hedengren, Kody M. Powell
Flexible Operation Of Nuclear Hybrid Energy Systems For Load Following And Water Desalination, An Ho, Blake W. Billings, John Hedengren, Kody M. Powell
Faculty Publications
Nuclear hybrid energy systems (NHES) have the potential to provide dependable and emission-free electricity to the grid while also increasing the flexibility and reliability of the electrical grid. Molten salt reactor (MSR) technology can provide consistent, carbon-free electricity while also increasing efficiency, security, and sustainability and reducing nuclear waste. This study investigates the integration of Molten Salt Reactors (MSR) and conventional Pressurized Water Reactors (PWR) with desalination technologies: Direct Contact Membrane Distillation (DCMD), Multi-Stage Flash Distillation (MSFD), and Reverse Osmosis (RO). Dynamic first-principles models were developed and tested using real grid data from the New York Independent System Operator. The …
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
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 Power Of Homeownership: The Case For Iowa Heartland Habitat For Humanity, Esha Jayswal, Joseph Ugrin, Disa Cornish, Brent Buhr, Ali Parrish
The Power Of Homeownership: The Case For Iowa Heartland Habitat For Humanity, Esha Jayswal, Joseph Ugrin, Disa Cornish, Brent Buhr, Ali Parrish
Faculty Publications
This research examines the impact of financially assisted homeownership for Iowa Heartland Habitat for Humanity home recipients as measured in life satisfaction. We develop and assess a model with homeownership as the independent variable and financial well-being, current health, and psychological well-being as mediating variables that impact life satisfaction. We utilize data from 184 Iowa Heartland Habitat for Humanity homeowners and applicants to test the model. The findings show that homeownership through Iowa Heartland Habitat for Humanity is related to life satisfaction. That relationship is partially mediated by financial well-being, current health, and psychological well-being, where the mediating variables amplify …
The Elephant In The Dark Room: A Response To Fair Notice, The Rule Of Law And Reforming Qualified Immunity, Teressa E. Ravenell
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
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
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 …
Finite Element Modeling And Analysis Of Rc Shear Walls With Cutting-Out Openings, Islam M. Saad, Mohamed Emara, Ayman El-Zohairy, Sherif El-Beshlawy
Finite Element Modeling And Analysis Of Rc Shear Walls With Cutting-Out Openings, Islam M. Saad, Mohamed Emara, Ayman El-Zohairy, Sherif El-Beshlawy
Faculty Publications
In recent decades, reinforced concrete (RC) shear walls have been one of the best structural solutions to resist lateral load in high-rise buildings. Shear wall openings are essential for preparations and architectural requirements, which weaken the wall, reducing bearing capacity, energy absorption, and stiffness while also causing stress concentrations. This paper presents a comprehensive finite element (FE) investigation of the behavior and performance of RC shear walls with openings and subjected to lateral loads. The study aims to evaluate the influence of various parameters, such as opening location, size, wall aspect ratio, axial load, and concrete strength, which affect the …
Removal Of Common Antimicrobial Agents By Sustained Low- Efficiency Dialysis, Joanna Q. Hudson Pharmd, Bcps, Fasn, Fccp, Madelyn N. Hilgers Bs, Pharmd Candidate, Elvira O. Gosmanova Md
Removal Of Common Antimicrobial Agents By Sustained Low- Efficiency Dialysis, Joanna Q. Hudson Pharmd, Bcps, Fasn, Fccp, Madelyn N. Hilgers Bs, Pharmd Candidate, Elvira O. Gosmanova Md
Faculty Publications
Adequate dosing of antimicrobials is paramount for treating infections in critically ill patients undergoing kidney replacement therapy; however, little is known about antimicrobial removal by sustained low-efficiency dialysis (SLED). The objective was to quantify the removal of cefepime, daptomycin, meropenem, piperacillin–tazobactam, and vancomycin in patients undergoing SLED. Adult patients ≥18 years with acute kidney injury (AKI) or end-stage kidney disease receiving one of the select antimicrobials and requiring SLED were included. Blood and dialysate flow rates were maintained at 250 and 100 mL/min, respectively. Simultaneous arterial and venous blood samples for the analysis of antibiotic concentrations were collected hourly for …
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
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
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 …
Australian Nursing And Midwifery Curriculum Design Blind Spots: A Qualitative Study Through The Prism Of Unplanned Pregnancy, Lydia Mainey, Sandra Downing, Mary-Clare Balnaves, Joyce Cappiello, Jemma King, Ann Peacock, Lisa Peberdy, Judith Dean
Australian Nursing And Midwifery Curriculum Design Blind Spots: A Qualitative Study Through The Prism Of Unplanned Pregnancy, Lydia Mainey, Sandra Downing, Mary-Clare Balnaves, Joyce Cappiello, Jemma King, Ann Peacock, Lisa Peberdy, Judith Dean
Faculty Publications
There is rising concern about the work readiness of nursing and midwifery graduates. Using the prism of unplanned pregnancy to understand Australian academics' perspectives of teaching this topic may highlight challenges associated with the current national education accreditation model and contribute to the dearth of international research on nursing and midwifery education accreditation. This study aimed to explore Australian academics' perspectives on teaching unplanned pregnancy prevention and care to undergraduate nursing and midwifery students. A constructivist qualitative study of undergraduate nursing and midwifery academics in Australia. We constructed three major themes from the thematic analysis: accreditation barriers and conflicting agendas, …
Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach
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 …