Digital Commons Network^™

Global, Regional And National Burden Of Maternal Haemorrhage (2000–2021) And Projections To 2050 In 204 Countries And Territories, Mulat Ayele, Bereket Duko, Tenaw Tiruye, Paul R. Ward, Lillian Mwanri, Gavin Pereira, Tegene Atamenta Kitaw, Biruk Beletew Abate, Eyob Shitie Lake, Abebaw Alamrew, Aynalem Yetwale, Gizachew Yilak, Befkad Derese Tilahun, Chalie Mulugeta, Tadele Emagneneh, Amanuel Tesfay Gebremedhin

Research outputs 2022 to 2026

Objective: To estimate the global, regional and national burden of maternal haemorrhage (2000–2021) and its 2050 projections in 204 countries and territories. Design: This study systematic analysis of the burden of maternal haemorrhage sourced data from the Global Burden of Disease (GBD) 2021 study. We estimated the incidence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs) and years of life lost (YLLs) due to maternal haemorrhage. Changes in the burden from 2000 to 2021 were computed using AAPC. To detect statistically notable changes in the trends of maternal haemorrhage metrics between 2000 and 2021, Joinpoint regression analysis using …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …

Ig–Microbiota Binding Patterns In Mothers And Infants: A Scoping Review, Alicia Tan Yi Jia, Christopher S. Peacock, Danielle E. Dye, Claus T. Christophersen

Research outputs 2022 to 2026

Studies characterising the immunoglobulin (Ig)-bound microbiota apply varying methodologies, making comparisons difficult. This scoping review synthesised evidence on Ig–microbiota binding patterns in maternal and infant contexts, identified recurrent Ig-bound and -unbound bacteria across studies, and highlighted knowledge gaps for further study. Nine articles investigating Ig–microbiota binding patterns in stool or breastmilk samples in mothers or infants were included. Ig–microbiota associations were influenced by sample type, Ig-subclass, genetics, and diet. The most important antibody was IgA, with partial functional redundancy with IgM, while IgG appeared more selective for pathobionts. Ig-bound taxa in early life included important commensals and pathobionts, with high …

Influence Of Intended Slow And Fast Eccentric Back Squat Velocity On Subsequent Countermovement Jump Performance, Artemis Zarkadoula, Themistoklis Tsatalas, Anthony D. Kay, Anthony J. Blazevich, Christos Kokkotis, Spyridon Plakias, Brett Anthony Baxter, Alex J. Van Enis, Giannis Giakas, Minas A. Mina

Research outputs 2022 to 2026

Background: The back squat is a key strength and conditioning exercise used to develop lower-limb strength and power, yet little is known about how movement velocity influences its acute performance-enhancing effects, such as improvements in countermovement jump height and power. The present study examined the acute effects of slow (vslow) versus fast (vfast) eccentric-phase velocity during back squats performed withmaximal concentric velocity on subsequent countermovement jump (CMJ) performance, using a randomized, crossover design. Methods: Fourteen male subjects (age = 22.9 ± 1.9 years; height = 1.8 ± 0.1 m; mass = 76.4 ± 8.3 kg) visited the laboratory on two …

Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs, Sarmad Al-Anssari, Dhifaf Sadeq, Hassanain A. Hassan, Ahmed Hamid Al-Taie, Hasan Ali Abood, Mohammed Mahdi, Zain Ul Abedin Arain

Research outputs 2022 to 2026

Oil recovery from carbonate reservoirs is one of the critical challenges in the oil industry due to the strongly oil-wet nature, natural fractures, and the heterogeneity of carbonate rocks. Subsequently, waterflooding can only displace oil from large fractures, leaving the majority of oil trapped in the rock matrix. This work suggests that nanofluid flooding, as a predesigned flooding method, is an alternative to conventional waterflooding. Various concentrations of silica nanofluid at different nanoparticle concentrations were formulated and systematically investigated for their characteristics, stability at reservoir conditions, and their influence on wettability and oil recovery. Silica nanoparticles were sustainably synthesized from …

Numerical Evaluation Of A Zero Poisson’S Ratio Structure In Μ-3d-Printed Self-Expanding Nitinol Stents, Farhana Yasmin, Ana Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Stenting is a minimally invasive treatment used in managing peripheral artery disease (PAD). However, clinical challenges persist, including in-stent thrombosis and restenosis, primarily driven by axial foreshortening or elongation and suboptimal balance between radial stiffness and flexibility inherent to conventional stent designs. This study proposes an innovative arrow-shaped geometry exhibiting zero Poisson’s ratio (ZPR) behaviour for 3D-printed self-expanding Nitinol stents. The complete stent deployment process was modelled using finite element analysis (FEA), including radial crimping and subsequent expansion to enable systematic parametric investigation while accounting for µ-3D printing constraints. Response surface methodology (RSM) rigorously evaluated mechanical performance, defining peak stress, …

Optimizing Fpga And Wafer Test Coverage With Spatial Sampling And Machine Learning: Analysis Of Local Spatial Consistency, Weiquan Wang, K. M.Shahriar Alam Adib, Foisal Ahmed, Riaz Ul Haque Mian

Research outputs 2022 to 2026

Wafer and FPGA testing remains costly in semiconductor manufacturing. This paper studies random sampling, stratified sampling, and k-means sampling under a partial-measurement setting with Gaussian Process Regression (GPR), and introduces Short Distance Elimination (SDE), a spatial screening rule that spreads selected training points over the layout. Combining value-based sampling with SDE yields two hybrid methods: S-SDE, which applies SDE within stratified subsets, and K-SDE, which applies SDE within k-means clusters. A calibration-based protocol fixes the value-group labels and SDE thresholds before target-file prediction. The SDE thresholds are selected from (Formula presented.) configurations in (Formula presented.), excluding (Formula presented.), using local …

Peripheral Neuromuscular Fatigue Responses Of The Knee Extensors To Distinct Concurrent Training Protocols: A Preliminary Study, Tomás T. Freitas, Elena Marín-Cascales, Cristian Marín-Pagán, Linda H. Chung, Antonio Martínez-Serrano, Nicola A. Maffiuletti, Anthony J. Blazevich, Pedro E. Alcaraz

Research outputs 2022 to 2026

Background: This study aimed to investigate the extent and time course of peripheral neuromuscular fatigue of the knee extensors following different concurrent training protocols in recreationally active men. Methods: In a randomized, counterbalanced, crossover design, ten participants completed one exercise session of three concurrent exercise protocols in consecutive weeks and in similar resting conditions: traditional concurrent training (TCT), sprint interval training (SIT), and high-intensity resistance circuit training (HRC). Maximal voluntary isometric contraction (MVIC) and electrically evoked tetanic force of the knee extensors were assessed before, immediately after, and at 24 and 48 h following each exercise session. Linear mixed models …

Recruitment And Retention Of Rural-Dwelling Young Adults Into A Digital Healthy Eating Intervention: Lessons Learned From A Randomized Controlled Trial Of The Veg4me Study, Katherine M. Livingstone, Stephanie R. Partridge, Jonathan C. Rawstorn, Kathleen M. Dullaghan, Yuxin Zhang, Stephanie L. Godrich, Sarah A. Mcnaughton, Gilly A. Hendrie, Lauren C. Blekkenhorst, Ralph Maddison, John C. Mathers, Laura Alston

Research outputs 2022 to 2026

Background/objectives: The study aimed to identify the key methodological challenges and solutions related to recruitment and retention of rural-dwelling young adults into a randomized controlled trial that tests the feasibility of a digital healthy eating intervention (Veg4Me). Methods: Digital registration for a 12-week study was set up as a one-step process without researcher involvement. Participant registrations and recruitment rates were monitored daily using predetermined online preventative measures to identify fraudulent responses and to amend the digital registration process where necessary. Retention rates were monitored daily to identify any necessary amendments to the follow-up protocol. Results: During data collection, n = …

Rvit-Fusionnet: A Local Cross-Attention Feature Fusion-Based Hybrid Framework For Brain Tumor Classification, Naima Islam, Sajeeb Kumar Ray, Md Anwar Hossain, Syed Mohammed Shamsul Islam

Research outputs 2022 to 2026

Accurate brain tumor classification via MRI is essential for diagnosis and treatment. This study introduces RViT-FusionNet, a hybrid deep learning model that integrates convolutional and transformer architectures for enhanced tumor detection. The model utilizes ResNet-50 to capture textural details and a Vision Transformer for extracting global context. A Local Cross-Attention (LCA) module is proposed to align and merge these features, allowing the network to model local structures and long-range dependencies concurrently. To enhance generalization across varied imaging conditions and tumor types, a domain discriminator is included to discern spatial and domain-specific patterns, fostering the learning of domain-invariant representations. The approach …

Sporadic Appetites: Unearthing The Fungal Diets Of Two Mycophagous Mammals Across An Australian Climate Gradient, Rebecca J. Quah, Saul J. Cowen, Robert A. Davis, Harriet R. Mills, Anna J.M. Hopkins

Research outputs 2022 to 2026

Translocating threatened ecosystem engineers may offer the dual benefit of contributing to species conservation and ecosystem restoration. Boodies (burrowing bettong; Bettongia lesueur) and woylies (brush-tailed bettong; Bettongia ogilbyi) are threatened mycophagous marsupials known for their crucial role in ecosystem health through fungal dispersal and bioturbation. As part of restoration efforts across Australia, these bettong species are frequently targeted for translocations, where a better understanding of their fungal dietary requirements is essential for ensuring their resource requirements are met and in predicting their ecological contributions to recipient ecosystems. Here, we used DNA metabarcoding to study the fungal diets of boodies and …

The Effect Of Boosting Dietary Lactobacillus And Phytochemical Rich Foods On Biomarkers Of Longevity—A Phase Ii Randomised Placebo Controlled Trial, Robert J. Thomas, Madeleine Williams, Jeffrey W.F. Aldous, Stacey A. Kenfield, Robert U. Newton

Research outputs 2022 to 2026

As men age, systemic inflammation increases, whereas grip strength (GS) and testosterone levels tend to fall. This rate of decline is known to be influenced by gut microbial health, lifestyle and diet but the role for interventions to slow this decline are less well established. This double-blind randomised controlled trial evaluated the impact, and explored the synergistic potential, of boosting phytochemical rich foods and Lactobacillus probiotics on these physical and biological markers. Two hundred and eight men with untreated early prostate cancer managed with observation only (average age 74 years) received a phytochemical rich supplement (PRS) containing concentrated broccoli, green …

Tracking Continuous Non-Differentiable Trajectories In Euler–Lagrange Systems With Continuous Dynamics, Nilay Kant

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Tracking controllers for Euler–Lagrange systems are designed under the assumption that reference trajectories are continuous, and at least twice differentiable with respect to time. However, this assumption precludes several use cases, such as when a robot end-effector must track a path with corners at constant speed. This paper introduces the control design for tracking continuous but non-differentiable trajectories in fully actuated Euler–Lagrange systems that have continuous-time dynamics. The proposed controller combines a continuous feedback law with impulsive inputs, that are intermittently applied at the instants of non-differentiability. A Lyapunov stability analysis establishes global exponential convergence of the tracking error to …

A Carbon Fiber-Based Self-Sensing Approach For Monitoring Damage Evolution In Coal Pillars, Shan Ning, Weibing Zhu, Jie Gao, Wei Qin, Guang Xu, Jingmin Xu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Under long-term high stress and dynamic disturbances, damage accumulation within underground coal masses can induce sudden instability, posing a considerable threat to coal mine safety. Real-time acquisition of coal damage information is essential for disaster prevention and control. This study proposes a coal damage and fracturing monitoring approach based on a carbon fiber composite mortar (CFCM) coating. By applying the CFCM coating to coal specimen surfaces and monitoring resistance changes, the dynamic evolution of damage can be tracked. The study combines experimental mechanical loading, continuous electrical resistance monitoring and acoustic emission recording with detailed numerical modelling to comprehensively evaluate sensing …

Evaluation Of The Effect Of Vibration On Signal Reflection In Coaxial Cable Connectors For Vibration Sensing In Aircraft Structures And Systems, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Daniel S. Stutts, Jie Huang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper investigates the effects of vibration on signal reflection (S11) in aerospace data transmission line (ADTL) and commercial data transmission line (DTL) connectors for their alternative use as vibration sensors. The impact of vibration on the S11 signal was investigated on five ADTL and four DTL connectors at six vibration frequencies (20 Hz, 40 Hz, 80 Hz, 160 Hz, 320 Hz, and 640 Hz) and four vibration accelerations (0.5G, 1 G, 2 G, and 4G). The experiment was conducted using a split-plot design with a cable type assigned as the main-plot factor, with vibration frequency and acceleration as subplot …

Editorial: Food Safety In The Context Of One Health: Current Trends, Challenges And Perspectives, Daniel Ekhlas, Yosra A Helmy, Federica Savini, Arturo Soro, Elena Alexa

Research Outputs: 2025-Present

No abstract provided.

“I Didn’T Know Architects Do This”: Interventions In The Social Reproduction Of The Architect Figure In Ireland., Miriam Delaney

Doctoral

The architect is widely understood as the producer of architectural artefacts: buildings, feasibility studies, drawings, and specifications. However, architects (as a professional collective identity) are themselves produced by the complex matrix of social relations and structural forces in which they act; the architect is as much a product as the architectural artefacts.

This thesis provides a retrospective critical examination of aspects of my work in expanded forms of architectural practice from 2011 to 2021. My Critical Appraisal of this work focuses less on the content or successes of the Outputs, the products of production, and more on their collective contribution …

Chronic Conditions And Mortality In Medicare Beneficiaries Before And After The Covid-19 Pandemic, R J Waken, Fengxian Wang, Jose F Figueroa, Rishi K Wadhera, Khavya Avula, E John Orav, Anne Mobley Butler, Karen E Joynt Maddox

2020-Current year OA Pubs

IMPORTANCE: There were well-documented changes in health care use during the COVID-19 pandemic. Little is known about whether there were any associated decreases in claims-based comorbidity ascertainment that might have relevance to health services and policy research.

OBJECTIVE: To quantify differences in claims-based comorbidity assessment in Medicare beneficiaries pre- vs post-COVID-19.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data from the 30 Chronic Conditions Warehouse 1- or 2-year lookback claims algorithms to ascertain each comorbidity with exact date ranges for all fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries. Data were analyzed from April 2025 to April 2026.

EXPOSURES: The …

Ai, Medicine, And Social Determinants Of Health Data, Ryan Doyloo, Nicholson Price

Articles

This article examines how medical AI systems are incorporating SDoH data and the governance challenges that follow. The authors show that while SDoH integration can enhance clinical workflows and predictive accuracy — potentially improving outcomes for underserved populations — it also introduces acute risks of proxy discrimination, where facially neutral variables replicate protected characteristics. Surveying U.S., EU, and international frameworks, the authors argue that existing regimes lack clear ex ante guidance to distinguish beneficial from harmful uses of SDoH data. In response, they advance post-market monitoring as a pragmatic and scalable pathway: generating real-world, SDoH-stratified evidence that can support enforcement, …

Lingo4 Coordinates Ilc3-Intrinsic Il-22 Production And Microbiota-Mediated Ilc3 Homeostasis, José L Fachi, Tihana Trsan, Cristiane Sécca, Sarah De Oliveira, Vinícius R Rodovalho, Patrick Fernandes Rodrigues, Wandy L Beatty, Raki Sudan, Shitong Wu, Bishan Bhattarai, Santosh K Panda, Marina Cella, Susan Gilfillan, Marco Colonna

2020-Current year OA Pubs

LINGO4 is a leucine-rich repeat and immunoglobulin-like domain-containing transmembrane protein encoded immediately adjacent to Rorc, the gene for RORγt, raising the possibility that it contributes to the biology of RORγt+ lymphocytes. However, its impact on these cells and resistance to enteric infections has remained unknown. Here, we identify LINGO4 as a critical regulator of group 3 innate lymphoid cells (ILC3s). Lingo4-/- ILC3s exhibit a profound, cell-intrinsic defect in IL-22 production linked to impaired STAT3 activation, mitochondrial dysfunction, elevated ROS, and increased apoptosis. In vivo, Lingo4 deficiency also drives a dysbiotic gut microbiota, resulting in an additional, microbiota-dependent loss of ILC3s. …

A Hybrid Mechano-Thermal Route To Synthesize Reactive Pozzolans From Clay Minerals: A Case Of Kaolinite, Oluwadamilare Charles Adesina, Bryan K. Aylas-Paredes, Brian R. Cherry, Luciano A. Gobbo, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Aluminosilicate resources from unconventional sources offer promising potential for developing low-carbon supplementary cementitious materials (SCMs), yet their activation typically requires energy-intensive thermal processing. Kaolinite is a geographically abundant and highly attractive precursor clay mineral to reduce the clinker factor in concrete. By integrating mechano- and thermo- chemistry sequentially in a novel hybrid mechano-thermal activation (MTA) strategy for clay mineral activation, the dehydroxylation of pure kaolinite polymorphs KGa-1b and KGa-2 for enhanced pozzolanic reactivity is unlocked at temperatures that are lower than those needed for conventional thermal activation (TA). The mechano-chemical activation (MCA) step that induces significant structural defects and disorder …

Public Preferences For Critical Mineral Mining In The U.S.: Evidence From A Discrete Choice Experiment, Bamidele Ajiga, Kwame Awuah-Offei, Mahelet G. Fikru

Mining Engineering Faculty Research & Creative Works

Even though there is widespread recognition that we need to mine more critical minerals for national security and energy needs, concerns about environmental impacts often lead to public opposition to proposed new mining projects. The literature lacks sufficient data from communities with proposed mineral projects to assess drivers of differences in support. This study investigates public preferences for mining projects in three states in the United States with proposed critical minerals projects, using a discrete choice experiment. Respondents evaluated projects that vary in job creation, state tax revenue, tailings reprocessing content, groundwater impacts, and surface water impacts. We also randomly …

Nanobubble Flotation Strategy Of Fluorite Integrating Experimental And Dft Analysis, Ahmed Sobhy, Hadeer El-Shamy, Nourhan Ahmed, Mohsen Farahat

Mining Engineering Faculty Research & Creative Works

The conventional froth flotation of fluorite from quartz-rich ores is reagent-intensive and faces selectivity challenges, impacting its economic and environmental sustainability. This study presents a novel green intensification strategy through the synergistic integration of nanobubble (NB) technology with Density Functional Theory (DFT) simulations. Systematic optimization of sodium oleate (collector) and sodium silicate (depressant) dosages in conjunction with hydrodynamic parameters (air/wash water velocity, NB generation rate) was conducted in both mechanical and column flotation systems. The incorporation of nanobubbles yielded transformative improvements: in mechanical flotation, collector and depressant consumption were reduced by over 50% while maintaining a concentrate grade exceeding 90% …

Review Of Recovery Processes Of Palladium, Platinum, Gold, And Silver From Metallurgical Wastes, Luis Sanchez-Calderon, Marthias Silwamba, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) are precious metals with high economic value and critical industrial significance. Platinum and Pd, in particular, are classified as critical metals by major economies such as the United States, European Union, Japan, and South Korea due to their limited supply and essential roles in clean energy and high-technology applications. The rising market value and criticality of these metals have generated interest in their recovery, not just from primary ores and traditional source materials but also from secondary sources, such as metallurgical wastes. This review provides a thorough evaluation of current and …

Mechanism-Based Assessment Of Respirable Dust Exposure In Miners: Integrating Cfd-Dpm Simulation With Personalized Monitoring For Occupational Health Risk, Jiajun An, Fan Geng, Yuqing Feng, Changgeng Gui, Shihang Li, Xinjian He, Guang Xu, Zheng Zhang, Yibao Wang

Mining Engineering Faculty Research & Creative Works

Respirable dust in confined mine environments represents a significant environmental and occupational health challenge, requiring advanced monitoring and risk assessment methodologies. Current area-level monitoring overlooks the heterogeneity of personal exposure fields and the critical influence of human-ventilation interactions on local contaminant dispersion. This study develops an integrated monitoring-simulation method to quantify multi-worker dust exposure, assessing how worker position and orientation modulate risk under forced ventilation in narrow roadways. Occupational-specific dust sampling provided validation data for a three-dimensional Computational Fluid Dynamics-Discrete Phase Model (CFD-DPM) incorporating human-ventilation interactions. The model integrates a MATLAB-developed breathing function to dynamically couple respiratory cycles with particle …

Effect Of Allocation And Allocation Avoidance Methods On Life-Cycle Impact Results For Tellurium Production From Copper Anode Slimes, Ioanna Paschalidou, Kwame Awuah-Offei, Michael Moats

Mining Engineering Faculty Research & Creative Works

The global transition toward green energy has increased demand for metals and intensified the need for sustainable supply sources. Tellurium (Te), an essential metal for photovoltaics technology, is produced primarily as a by-product of copper refinery slimes treatment. This study conducts a life-cycle assessment (LCA) study of Te production to investigate the effect of environmental impact allocation choices on LCA results in multi-product metal systems. A cradle-to-gate LCA model of the Te product system was developed in SimaPro v9.5.0.1 software by combining industrial data, Ecoinvent v3.7.1 datasets, and literature information. Environmental impacts were quantified using the ReCiPe v1.04 Midpoint method …

Physics-Informed Machine Learning-Aided Framework For Entrainment Fraction In Gas-Liquid Two-Phase Annular Flow, Anadi Mondal, Subash L. Sharma

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The liquid film flow rate or droplet flow rate in annular flow is determined by a parameter known as the entrainment fraction. Conventional empirical correlations are commonly employed for predicting the entrainment fraction; however, their applicability is often restricted to specific operating conditions and working fluids. Recently, a few machine learning (ML) models have been developed to achieve better accuracy in entrainment fraction prediction. However, these models are completely data-driven, meaning they are good for prediction in the interpolated domain, but exhibit limited generalization capability in the extrapolated domain. To address this limitation, a physics-informed machine learning-aided framework (PIMLAF), combining …

Golden And Silver Dark Sirens For Precise H0 Measurement With Hetdex, Yixuan Dang, Ish Gupta, Robin Ciardullo, Erin Mentuch Cooper, Shiksha Pandey, Dustin Davis, Surhud More, Rachel Gray, Hsin Yu Chen, Daniel J. Farrow, Caryl Gronwall, Donghui Jeong, Shun Saito, Donald P. Schneider

Physics Faculty Research & Creative Works

Gravitational waves (GWs) from compact binary coalescences are standard sirens that provide a direct measure of the source's luminosity distance, enabling an independent measurement of the Hubble constant (H0). While a bright siren—a GW event with an identified electromagnetic (EM) counterpart—provided the first such constraint, most detections, currently dominated by black hole mergers, lack EM signatures. A measurement of H0 is still possible with these dark sirens by statistically associating GW events with galaxies in existing catalogs based on the sky localization. In this work, we explore the potential of two subsets of dark sirens categorized by their localization precision: …

Phases And Dynamics Of An Impurity Immersed In One-Dimensional Quantum Droplets, Dimitrios Diplaris, Ilias A. Englezos, Friethjof Theel, Peter Schmelcher, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground-state properties of a single impurity immersed in a one-dimensional quantum droplet medium formed by a two-component Bose mixture. Relying on ab initio simulations, we demonstrate that tuning the impurity–droplet interactions allows to controllably reshape the droplets' density profiles and associated correlation patterns. For attractive impurity-medium couplings, the impurity becomes localized within the droplet, which exhibits a density hump at the vicinity of the impurity, while repulsive interactions facilitate phase separation. Comparing our many-body results with the appropriate extended Gross–Pitaevskii description, we find adequate agreement for the droplet density profiles, with the effective field approach systematically overestimating …

Patient-Reported Distress And Anxiety During Cone-Beam Ct Imaging Sessions With Increased Gantry Rotation Speeds, Atefeh Rezaei, Alex T. Price, Theodore H. Arsenault, Runyon Woods, Rojano Kashani, Angela Y. Jia, Daniel E. Spratt, Clair R. Kueny, Lauren E. Henke

Psychological Science Faculty Research & Creative Works

Introduction We conducted a prospective imaging clinical trial to evaluate rapid cone-beam computed tomography (CBCT) imaging on a C-arm linear accelerator. As part of this trial, we evaluated patient-reported anxiety and distress before and after imaging sessions to evaluate the impact of increased gantry rotation speed on patient experience. Materials and methods Forty patients undergoing radiotherapy (RT) as part of standard clinical care were separately imaged using CBCT imaging on a C-arm linear accelerator with faster gantry rotation (1.5 rpm versus standard 1.0 rpm speed used clinically) as part of an imaging clinical trial. Patient anxiety and distress were evaluated …