A5101527409- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Membrane-based Ion Separation Techniques
- Membrane Separation Technologies
- Solar-Powered Water Purification Methods
- Building Energy and Comfort Optimization
- Energy Efficiency and Management
- Epilepsy research and treatment
- Advanced Radiotherapy Techniques
- Cancer survivorship and care
- Hybrid Renewable Energy Systems
- Gastroesophageal reflux and treatments
- Electrohydrodynamics and Fluid Dynamics
- Management of metastatic bone disease
- Frailty in Older Adults
- Chronic Myeloid Leukemia Treatments
- Anorectal Disease Treatments and Outcomes
- Hip and Femur Fractures
- Photovoltaic Systems and Sustainability
- Electric Power System Optimization
- Bariatric Surgery and Outcomes
- Hemophilia Treatment and Research
- Family Support in Illness
- Environmental Impact and Sustainability
- Cancer-related cognitive impairment studies
Liverpool Hospital
2016-2023
The University of Texas at Austin
2023
Dell Children's Medical Center of Central Texas
2023
Indiana Institute of Technology
2019-2022
University of Utah
2015-2021
South Western Sydney Local Health District
2019
Ingham Institute
2016
Camden and Campbelltown Hospitals
2016
University of Ottawa
2010-2015
Western University
2009
The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently become a reliable tool the medical domain. empirical automatic learning is used tasks such as decision support, imaging, protein-protein interaction, extraction knowledge, for overall patient management care. ML envisioned by which computer-based systems can be integrated healthcare order to get better, more efficient This paper describes ML-based methodology building an application...
To realize the broader benefits of electronic patient-reported outcome measures (ePROMs) in routine care, we used RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to inform translation a clinically effective ePROM system (hereafter referred as PRM system) into practice. The study aimed evaluate processes success implementing care patients diagnosed with lung cancer.A controlled before-and-after mixed-methods was undertaken. Data sources included self-report...
Patient-reported outcome (PRO) measures have been used widely to screen for depression, anxiety, and symptoms in cancer patients. Computer-based applications that collect patients' responses transfer them the treating health professional real time potential improve patient well-being outcomes.This study will test feasibility acceptability of a newly developed eHealth system which facilitates PRO data capture from patients, linkage retrieval support clinical decisions self-management, ongoing...
Stochastic optimization of a district energy system (DES) is investigated with renewable systems integration and uncertainty analysis to meet all three major types consumption: electricity, heating, cooling. A buildings on the campus University Utah used as case study for analysis. The proposed DES incorporates solar photovoltaics (PV) wind turbines power generation along using existing electrical grid. combined heat (CHP) provides thermal heating. Natural gas boilers supply remaining...
Pressure retarded osmosis is a technique for recovering salinity gradient energy, and new technology proposed as renewable energy resource. Two water bodies with differing salt concentrations are separated by membrane which permeable to but not salt, driven toward the section of high salinity, where its hydraulic pressure can be recovered hydroelectric power. This paper briefly describes PRO development, design simple custom-built bench-scale demonstration module. The feasibility process...
Pressure retarded osmosis (PRO) is a process for renewable energy conversion that makes use of salinity gradient between two bodies water. A semipermeable membrane separates solutions: the draw solution, with higher salinity, and feed lower salinity. In this study, three system design choices bench-scale PRO systems were investigated: mesh spacer opening area, hydraulic pressure difference, relative flow rates. Mesh spacers provide mechanical support to membrane, but can reduce water flux....
Abstract In Australia, the outbreak of pandemic (H1N1) 2009 began in Melbourne, Victoria; first 17 days, Victorian Infectious Diseases Reference Laboratory detected 977 cases. Although laboratory had a plan place, retrospective evaluation found 3 major variations from assumptions: 1) higher peak demand not limited by case definition, 2) prolonged because containment attempts continued despite widespread influenza, and 3) unexpected influence negative test results on public health actions....
Introduction: Fecal incontinence (FI) is under-treated in elderly women rural areas due to limited access healthcare resources such as biofeedback therapies. Sacral neuromodulation (SNM) was initially indicated for urinary but has emerged a treatment option FI. This study aims evaluate the efficacy of SNM with severe refractory FI Texas. Methods: retrospective analysis questionnaires patients before and after undergoing within year clinic The assessed frequency (never = 0 point, rarely 1...
Introduction: Gastric band erosion is a feared complication of laparoscopic adjustable gastric banding (AGB). We report case life-threatening that required multidisciplinary management. Case Description/Methods: The patient 55-year-old man with history morbid obesity treated AGB in Mexico 7 years ago. He presented to the ER acute severe epigastric abdominal pain, nausea, vomiting, intolerance any oral intake. CT scan showed into stomach wrapping around left artery. was admitted by...
Objective: Approximately half of all children and adults newly diagnosed with epilepsy also show behavioral and/or cognitive difficulties upon evaluation. While neuropsychological screening is recommended as a routine part care at seizure onset, in reality, access to often restricted by many factors. In order better define the extent problem, we developed survey understand how frequently youth new onset currently undergo evaluation or whether virtual assessment tools are used extend care....
Abstract In this study, a framework is developed to perform two-stage stochastic programming in district energy system. This optimizes the sizing of components minimize total cost and operating CO2 emissions. Uncertainties electricity demand, solar irradiance, wind speed, emissions are considered. A group buildings at University Utah used as case study test optimization framework. novel by forming an open-source framework, considering with more details compared previous studies literature,...
In this study, a framework is developed to perform two-stage stochastic programming in district energy system.This optimizes the sizing of components minimize total cost and operating CO 2 emissions.Uncertainties electricity demand, solar irradiance, wind speed, emissions are considered.A group buildings at University Utah used