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Total Energy Expenditure Is Repeatable In Adults But Not Associated With Short-Term Changes In Body Composition, Rebecca Rimbach, Yosuke Yamada, Hiroyuki Sagayama, Philip N. Ainslie, Lene F. Anderson, Liam J. Anderson, Lenore Arab, Issaad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Lara R. Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk Dec 2022

Total Energy Expenditure Is Repeatable In Adults But Not Associated With Short-Term Changes In Body Composition, Rebecca Rimbach, Yosuke Yamada, Hiroyuki Sagayama, Philip N. Ainslie, Lene F. Anderson, Liam J. Anderson, Lenore Arab, Issaad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Lara R. Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk

Clinical Research Faculty Publications

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but …

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Evaluating The Viscoelastic Properties Of Alligator Skin Gelatin, Alligel, Compared To Mammalian And Fish Gelatins, Sarah E. Jimenez Dec 2022

Evaluating The Viscoelastic Properties Of Alligator Skin Gelatin, Alligel, Compared To Mammalian And Fish Gelatins, Sarah E. Jimenez

Honors Capstones

No abstract provided.

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Examining The Symbioses Between Bioluminescent Vibrio Species And Ponyfishes In The Indian Ocean And Between Vibrio Species And Crassostrea Virginica In The Gulf Of Mexico, Alexandra Chauvin Dec 2022

Examining The Symbioses Between Bioluminescent Vibrio Species And Ponyfishes In The Indian Ocean And Between Vibrio Species And Crassostrea Virginica In The Gulf Of Mexico, Alexandra Chauvin

Honors Capstones

No abstract provided.

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Hurricane Girls, Kallie Comardelle Dec 2022

Hurricane Girls, Kallie Comardelle

Honors Capstones

No abstract provided.

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The Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use: Protocol For A Quasi-Experimental Design, Cara Joyce, Talar W. Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M. Thompson, Juan C. Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K. Oguss, Richard S. Cooper, Majid Afshar Dec 2022

The Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use: Protocol For A Quasi-Experimental Design, Cara Joyce, Talar W. Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M. Thompson, Juan C. Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K. Oguss, Richard S. Cooper, Majid Afshar

Faculty Publications

Background: Automated and data-driven methods for screening using natural language processing (NLP) and machine learning may replace resource-intensive manual approaches in the usual care of patients hospitalized with conditions related to unhealthy substance use. The rigorous evaluation of tools that use artificial intelligence (AI) is necessary to demonstrate effectiveness before system-wide implementation. An NLP tool to use routinely collected data in the electronic health record was previously validated for diagnostic accuracy in a retrospective study for screening unhealthy substance use. Our next step is a noninferiority design incorporated into a research protocol for clinical implementation with prospective evaluation of clinical …

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Ecry1gb.1ig, A Novel Chimeric Cry Protein With High Efficacy Against Multiple Fall Armyworm (Spodoptera Frugiperda) Strains Resistant To Different Gm Traits, Hyunsook Chae, Zhimou Wen, Travis Hootman, Jo Himes, Qianqian Duan, Joel Mcmath, Jesse Ditillo, Richard Sessler, Jared Conville, Ying Niu, Phillip Matthews, Fabricio Francischini, Fangneng Huang, Matthew Bramlett Dec 2022

Ecry1gb.1ig, A Novel Chimeric Cry Protein With High Efficacy Against Multiple Fall Armyworm (Spodoptera Frugiperda) Strains Resistant To Different Gm Traits, Hyunsook Chae, Zhimou Wen, Travis Hootman, Jo Himes, Qianqian Duan, Joel Mcmath, Jesse Ditillo, Richard Sessler, Jared Conville, Ying Niu, Phillip Matthews, Fabricio Francischini, Fangneng Huang, Matthew Bramlett

Faculty Publications

Spodoptera frugiperda (fall armyworm, FAW) is one of the most devastating insect pests to corn and soybean production in the Americas and is rapidly expanding its range worldwide. It is known to be hard to control either by chemical insecticide applications or by GM. Although the use of GM traits can be an effective way to control this pest, it is very rare to find native insecticidal proteins that provide the necessary level of FAW control in crop fields where FAW pressure and damage are high. Insecticidal Cry proteins sourced from Bacillus thuringiensis have been heavily utilized in the development …

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Comparative Analysis Of 3d Printed Bridge Construction In Louisiana, Amirhosein Jafari, Ali Kazemian, Sarah Ataei Dec 2022

Comparative Analysis Of 3d Printed Bridge Construction In Louisiana, Amirhosein Jafari, Ali Kazemian, Sarah Ataei

Data

A construction 3D printing system could result in automated infrastructure development at reduced cost and time, significantly boosting overall productivity. Although there has been a growing interest in using construction 3D printing for projects such as house construction, implementing this innovative technology for infrastructure development, particularly bridge construction, has not been investigated as extensively. This study aims to compare the environmental impact of precast and 3D concrete printing (3DCP) techniques with a pedestrian bridge case study, located in Louisiana, where the bridge elements were 3D printed off-site and then transported and assembled on the bridge site. A detailed cradle-to-site life …

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Comparative Analysis Of 3d Printed Bridge Construction In Louisiana, Amirhosein Jafari, Ali Kazemian, Sarah Ataei Dec 2022

Comparative Analysis Of 3d Printed Bridge Construction In Louisiana, Amirhosein Jafari, Ali Kazemian, Sarah Ataei

Publications

A construction 3D printing system could result in automated infrastructure development at reduced cost and time, significantly boosting overall productivity. Although there has been a growing interest in using construction 3D printing for projects such as house construction, implementing this innovative technology for infrastructure development, particularly bridge construction, has not been investigated as extensively. This study aims to compare the environmental impact of precast and 3D concrete printing (3DCP) techniques with a pedestrian bridge case study, located in Louisiana, where the bridge elements were 3D printed off-site and then transported and assembled on the bridge site. A detailed cradle-to-site life …

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Development Of Ultra-High Performance Engineered Geopolymer Composites (Uhp-Egcs), Hassan Noorvand, Miladin Radovic, Marwa Hassan, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen Dec 2022

Development Of Ultra-High Performance Engineered Geopolymer Composites (Uhp-Egcs), Hassan Noorvand, Miladin Radovic, Marwa Hassan, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen

Data

This study investigated the possibility of developing novel UHP-EGC materials for the repair and new construction of transportation infrastructure in Region 6 by utilizing locally available resources. To this end, the geopolymers (GPs) in this study were synthesized by activating metakaolin (MK) with potassium silicate and sodium silicate solutions. The solutions were manufactured in the laboratory by dissolving silica fume and potassium hydroxide (KOH) or sodium hydroxide (NaOH) in deionized water. MK-based GP binders, mortars, and fiber-reinforced composites were manufactured and evaluated to determine their density, compressive strength, tensile properties, and slant shear bond strength to Portland cement concrete (PCC). …

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Spatial And Temporal Changes Of Sand Mining In The Yangtze River Basin Since The Establishment Of The Three Gorges Dam, Yugai Ma, Yingying Chai, Y. Jun Xu, Zijun Li, Shuwei Zheng Dec 2022

Spatial And Temporal Changes Of Sand Mining In The Yangtze River Basin Since The Establishment Of The Three Gorges Dam, Yugai Ma, Yingying Chai, Y. Jun Xu, Zijun Li, Shuwei Zheng

Faculty Publications

The global demand for sand and gravel is at 50 billion tons per year, far exceeding global resource capacities. It reached 7.6 billion tons in 2021 in the Yangtze River Basin (YRB), China. However, production is severely limited in the YRB. Therefore, the incongruity between the supply and demand of river sand is prominent. Wise management of decreasing sand resources in the YRB has become critical since the Three Gorges Dam became operational in 2003. This study synthesized spatial and temporal changes in sand mining activities and quantities along the Yangtze River and its major tributaries from 2004 to 2020. …

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Channel Bed Adjustment Of The Lowermost Yangtze River Estuary From 1983 To 2018: Causes And Implications, Ming Tang, Heqin Cheng, Yijun Xu, Hao Hu, Shuwei Zheng, Bo Wang, Zhongyong Yang, Lizhi Teng, Wei Xu, Erfeng Zhang, Jiufa Li Dec 2022

Channel Bed Adjustment Of The Lowermost Yangtze River Estuary From 1983 To 2018: Causes And Implications, Ming Tang, Heqin Cheng, Yijun Xu, Hao Hu, Shuwei Zheng, Bo Wang, Zhongyong Yang, Lizhi Teng, Wei Xu, Erfeng Zhang, Jiufa Li

Faculty Publications

Deltaic channels are significant landforms at the interface of sediment transfer from land to oceanic realms. Understanding the dynamics of these channels is urgent because delta processes are sensitive to climate change and adjustments in human activity. To obtain a better understanding of the morphological processes of large deltaic channels, this study assessed the evolution and response mechanism of the South Channel and South Passage (SCSP) in the Yangtze Estuary between 1983 to 2018 using hydrology, multibeam echo sounding and historical bathymetry datasets. Decadal changes in riverbed volume and erosion/deposition patterns in the SCSP were assessed. The results showed that …

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Expression Of The Preadipocyte Marker Zfp423 Is Dysregulated Between Well-Differentiated And Dedifferentiated Liposarcoma, Thanh N. Dang, Rafael P. Tiongco, Loren M. Brown, Jessica L. Taylor, John M. Lyons, Frank H. Lau, Z. Elizabeth Floyd Dec 2022

Expression Of The Preadipocyte Marker Zfp423 Is Dysregulated Between Well-Differentiated And Dedifferentiated Liposarcoma, Thanh N. Dang, Rafael P. Tiongco, Loren M. Brown, Jessica L. Taylor, John M. Lyons, Frank H. Lau, Z. Elizabeth Floyd

Division of Basic Science Faculty Publications

Background: Well-differentiated and dedifferentiated liposarcomas are rare soft tissue tumors originating in adipose tissue that share genetic abnormalities but have significantly different metastatic potential. Dedifferentiated liposarcoma (DDLPS) is highly aggressive and has an overall 5-year survival rate of 30% as compared to 90% for well-differentiated liposarcoma (WDLPS). This discrepancy may be connected to their potential to form adipocytes, where WDLPS is adipogenic but DDLPS is adipogenic-impaired. Normal adipogenesis requires Zinc Finger Protein 423 (ZFP423), a transcriptional coregulator of Perixosome Proliferator Activated Receptor gamma (PPARG2) mRNA expression that defines committed preadipocytes. Expression of ZFP423 in preadipocytes is promoted by Seven-In-Absentia Homolog …

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Covid-19 Vaccination Boosts The Potency And Breadth Of The Immune Response Against Sars-Cov-2 Among Recovered Patients In Wuhan, Hong Liang, Xuanxuan Nian, Junzheng Wu, Dong Liu, Lu Feng, Jia Lu, Yan Peng, Zhijun Zhou, Tao Deng, Jing Liu, Deming Ji, Ran Qiu, Lianzhen Lin, Yan Zeng, Fei Xia, Yong Hu, Taojing Li, Kai Duan, Xinguo Li, Zejun Wang, Yong Zhang, Hang Zhang, Chen Zhu, Shang Wang, Xiao Wu, Xiang Wang, Yuwei Li, Shihe Huang, Min Mao, Huanhuan Guo, Yunkai Yang, Rui Jia, Jingwei Xufang, Xuewei Wang Dec 2022

Covid-19 Vaccination Boosts The Potency And Breadth Of The Immune Response Against Sars-Cov-2 Among Recovered Patients In Wuhan, Hong Liang, Xuanxuan Nian, Junzheng Wu, Dong Liu, Lu Feng, Jia Lu, Yan Peng, Zhijun Zhou, Tao Deng, Jing Liu, Deming Ji, Ran Qiu, Lianzhen Lin, Yan Zeng, Fei Xia, Yong Hu, Taojing Li, Kai Duan, Xinguo Li, Zejun Wang, Yong Zhang, Hang Zhang, Chen Zhu, Shang Wang, Xiao Wu, Xiang Wang, Yuwei Li, Shihe Huang, Min Mao, Huanhuan Guo, Yunkai Yang, Rui Jia, Jingwei Xufang, Xuewei Wang

Division of Basic Science Faculty Publications

The immunity of patients who recover from coronavirus disease 2019 (COVID-19) could be long lasting but persist at a lower level. Thus, recovered patients still need to be vaccinated to prevent reinfection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or its mutated variants. Here, we report that the inactivated COVID-19 vaccine can stimulate immunity in recovered patients to maintain high levels of anti-receptor-binding domain (RBD) and anti-nucleocapsid protein (NP) antibody titers within 9 months, and high neutralizing activity against the prototype, Delta, and Omicron strains was observed. Nevertheless, the antibody response decreased over time, and the Omicron variant exhibited …

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Interindividual Differences In Trainability And Moderators Of Cardiorespiratory Fitness, Waist Circumference, And Body Mass Responses: A Large-Scale Individual Participant Data Meta-Analysis, Jacob T. Bonafiglia, Paul A. Swinton, Robert Ross, Neil M. Johannsen, Corby K. Martin, Timothy S. Church, Cris A. Slentz, Leanna M. Ross, William E. Kraus, Jeremy J. Walsh, Glen P. Kenny, Gary S. Goldfield, Denis Prud’Homme, Ronald J. Sigal, Conrad P. Earnest, Brendon J. Gurd Dec 2022

Interindividual Differences In Trainability And Moderators Of Cardiorespiratory Fitness, Waist Circumference, And Body Mass Responses: A Large-Scale Individual Participant Data Meta-Analysis, Jacob T. Bonafiglia, Paul A. Swinton, Robert Ross, Neil M. Johannsen, Corby K. Martin, Timothy S. Church, Cris A. Slentz, Leanna M. Ross, William E. Kraus, Jeremy J. Walsh, Glen P. Kenny, Gary S. Goldfield, Denis Prud’Homme, Ronald J. Sigal, Conrad P. Earnest, Brendon J. Gurd

Clinical Research Faculty Publications

Although many studies have assumed variability reflects variance caused by exercise training, few studies have examined whether interindividual differences in trainability are present following exercise training. The present individual participant data (IPD) meta-analysis sought to: (1) investigate the presence of interindividual differences in trainability for cardiorespiratory fitness (CRF), waist circumference, and body mass; and (2) examine the influence of exercise training and potential moderators on the probability that an individual will experience clinically important differences. The IPD meta-analysis combined data from 1879 participants from eight previously published randomized controlled trials. We implemented a Bayesian framework to: (1) test the hypothesis …

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Social Inequalities In Climate Change-Attributed Impacts Of Hurricane Harvey, Kevin T. Smiley, Ilan Noy, Michael F. Wehner, Dave Frame, Christopher C. Sampson, Oliver E.J. Wing Dec 2022

Social Inequalities In Climate Change-Attributed Impacts Of Hurricane Harvey, Kevin T. Smiley, Ilan Noy, Michael F. Wehner, Dave Frame, Christopher C. Sampson, Oliver E.J. Wing

Faculty Publications

Climate change is already increasing the severity of extreme weather events such as with rainfall during hurricanes. But little research to date investigates if, and to what extent, there are social inequalities in climate change-attributed extreme weather event impacts. Here, we use climate change attribution science paired with hydrological flood models to estimate climate change-attributed flood depths and damages during Hurricane Harvey in Harris County, Texas. Using detailed land-parcel and census tract socio-economic data, we then describe the socio-spatial characteristics associated with these climate change-induced impacts. We show that 30 to 50% of the flooded properties would not have flooded …

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Predicting Energy Intake In Adults Who Are Dieting And Exercising, Corey Gerving, Robert Lasater, James Starling, Danielle M. Ostendorf, Leanne M. Redman, Chad Estabrooks, Kevin Cummiskey, Vincent Antonetti, Diana M. Thomas Dec 2022

Predicting Energy Intake In Adults Who Are Dieting And Exercising, Corey Gerving, Robert Lasater, James Starling, Danielle M. Ostendorf, Leanne M. Redman, Chad Estabrooks, Kevin Cummiskey, Vincent Antonetti, Diana M. Thomas

Clinical Research Faculty Publications

Background: When a lifestyle intervention combines caloric restriction and increased physical activity energy expenditure (PAEE), there are two components of energy balance, energy intake (EI) and physical activity energy expenditure (PAEE), that are routinely misreported and expensive to measure. Energy balance models have successfully predicted EI if PAEE is known. Estimating EI from an energy balance model when PAEE is not known remains an open question. Objective: The objective was to evaluate the performance of an energy balance differential equation model to predict EI in an intervention that includes both calorie restriction and increases in PAEE. Design: The Antonetti energy …

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Multidisciplinary Collaboration To Develop A Digital Health Solution For Early Detection Of Cognitive Decline In Primary Care, Robin C. Hilsabeck, Jeffrey N. Keller, Maya L. Henry, Paul Toprac, Paul Rathouz, Varshinee Sreekanth, Avery Largent, Joshua Chang, Jessy Li, Lokesh Pugalenthi, Thomas Parsons, Heather E. Cuevas, Suzanne Schmitz Dec 2022

Multidisciplinary Collaboration To Develop A Digital Health Solution For Early Detection Of Cognitive Decline In Primary Care, Robin C. Hilsabeck, Jeffrey N. Keller, Maya L. Henry, Paul Toprac, Paul Rathouz, Varshinee Sreekanth, Avery Largent, Joshua Chang, Jessy Li, Lokesh Pugalenthi, Thomas Parsons, Heather E. Cuevas, Suzanne Schmitz

Clinical Research Faculty Publications

Background: Developing digital healthcare solutions that facilitate rapid identification and effective management of patients with Alzheimer disease and related disorders (ADRD) is an area of intense study. A critical juncture for these efforts involves the early detection of cognitive decline. Because primary care providers (PCPs) are the first line of medical care, they are often the first to hear concerns about cognitive decline. However, under-diagnosis of ADRD in primary care settings is widely recognized, as are the many barriers to routine cognitive screening. While information about brief cognitive screening tools for detecting ADRD is plentiful, PCPs remain uncertain about which …

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Dissociation Of Tau Pathology And Neuronal Hypometabolism Within The Atn Framework Of Alzheimer’S Disease, Michael Tran Duong, Sandhitsu R. Das, Xueying Lyu, Long Xie, Hayley Richardson, Sharon X. Xie, Paul A. Yushkevich, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Leslie M. Shaw, Enchi Liu, Tom Montine, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gustavo Jimenez-Maggiora, Danielle Harvey, Matthew Bernstein, Nick Fox, Paul Thompson, Norbert Schuff, Charles Decarli, Bret Borowski Dec 2022

Dissociation Of Tau Pathology And Neuronal Hypometabolism Within The Atn Framework Of Alzheimer’S Disease, Michael Tran Duong, Sandhitsu R. Das, Xueying Lyu, Long Xie, Hayley Richardson, Sharon X. Xie, Paul A. Yushkevich, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Leslie M. Shaw, Enchi Liu, Tom Montine, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gustavo Jimenez-Maggiora, Danielle Harvey, Matthew Bernstein, Nick Fox, Paul Thompson, Norbert Schuff, Charles Decarli, Bret Borowski

Clinical Research Faculty Publications

Alzheimer’s disease (AD) is defined by amyloid (A) and tau (T) pathologies, with T better correlated to neurodegeneration (N). However, T and N have complex regional relationships in part related to non-AD factors that influence N. With machine learning, we assessed heterogeneity in 18F-flortaucipir vs. 18F-fluorodeoxyglucose positron emission tomography as markers of T and neuronal hypometabolism (NM) in 289 symptomatic patients from the Alzheimer’s Disease Neuroimaging Initiative. We identified six T/NM clusters with differing limbic and cortical patterns. The canonical group was defined as the T/NM pattern with lowest regression residuals. Groups resilient to T had less hypometabolism than expected …

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Non-Destructive Quality Evaluation Of Tropical Fruit (Mango And Mangosteen) Purée Using Near-Infrared Spectroscopy Combined With Partial Least Squares Regression, Pimpen Pornchaloempong, Sneha Sharma, Thitima Phanomsophon, Kraisuwit Srisawat, Wasan Inta, Panmanas Sirisomboon, Witoon Prinyawiwatkul, Natrapee Nakawajana, Ravipat Lapcharoensuk, Sontisuk Teerachaichayut Dec 2022

Non-Destructive Quality Evaluation Of Tropical Fruit (Mango And Mangosteen) Purée Using Near-Infrared Spectroscopy Combined With Partial Least Squares Regression, Pimpen Pornchaloempong, Sneha Sharma, Thitima Phanomsophon, Kraisuwit Srisawat, Wasan Inta, Panmanas Sirisomboon, Witoon Prinyawiwatkul, Natrapee Nakawajana, Ravipat Lapcharoensuk, Sontisuk Teerachaichayut

Faculty Publications

Mango and mangosteen are commercially important tropical fruits with a short shelf life. Fruit processing is one of the alternatives to extend the shelf life of these fruits. Purée is one of the processed products of fresh fruit. In this research, the quality of mango and mangosteen purée was analyzed. Titratable acidity (TA) and total soluble solids (TSS) were predicted using non-destructive near-infrared (NIR) spectroscopy. A partial least squares regression (PLSR) model was developed based on the NIR spectra with a wavelength ranging from 800 to 2500 nm. The PLSR model returned a coefficient of determination (r2) and a ratio …

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Characterization Of A Stress-Enhanced Promoter From The Grass Halophyte, Spartina Alterniflora L., Sonali Sengupta, Necla Pehlivan, Venkata Mangu, Kanniah Rajasekaran, Niranjan Baisakh Dec 2022

Characterization Of A Stress-Enhanced Promoter From The Grass Halophyte, Spartina Alterniflora L., Sonali Sengupta, Necla Pehlivan, Venkata Mangu, Kanniah Rajasekaran, Niranjan Baisakh

Faculty Publications

Stress-inducible promoters are vital for the desirable expression of genes, especially transcription factors, which could otherwise compromise growth and development when constitutively overexpressed in plants. Here, we report on the characterization of the promoter region of a stress-responsive gene SaAsr1 from monocot halophyte cordgrass (Spartina alterniflora). Several cis-acting elements, such as ABRE (ABA-responsive element), DRE-CRT (dehydration responsive-element/C-Repeat), LTRE (low temperature-responsive element), ERE (ethylene-responsive element), LRE (light-responsive element), etc. contributed at varying degrees to salt-, drought- and ABA-enhanced expression of gusA reporter gene in Arabidopsis thaliana under the full-length promoter, pAsr11875 and its deletion derivatives with an assortment of cis-regulatory motifs. …

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Improving Customer Satisfaction For Smes In Emerging Countries: A Comparative Study Of Hungary And Indonesia, Santi Setyaningsih, Peter Kelle Dec 2022

Improving Customer Satisfaction For Smes In Emerging Countries: A Comparative Study Of Hungary And Indonesia, Santi Setyaningsih, Peter Kelle

Faculty Publications

Improving Customer Satisfaction (CS) is a key strategical goal for companies, especially for Small and Medium-Sized Enterprises (SMEs). The objective of this research is to find and rank the major factors supporting CS. We focus on SMEs in two emerging markets located in two countries with different geographical and supply chain environments. We test a conceptual framework that includes several factors supporting CS. The data were collected from Hungarian and Indonesian SMEs by online questionnaire. We used statistical analysis such as Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Model (SEM) to test our model and hypothesis. …

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Angles Between Subspaces And Nearly Optimal Approximation In Gfem, Robert Lipton, Paul Sinz, Michael Stuebner Dec 2022

Angles Between Subspaces And Nearly Optimal Approximation In Gfem, Robert Lipton, Paul Sinz, Michael Stuebner

Faculty Publications

The Generalized Finite Element Methods (GFEM) are known for accurately resolving local features in heterogeneous media. Recent numerical experiments have shown that the use of local bases made from A-harmonic extensions of well chosen boundary data have nearly optimal approximation properties. In this paper we show that the explanation is geometric and given by the angle between any finite dimensional approximation space and the optimal finite dimensional approximation space introduced in (Babǔska and Lipton, 2011). The effect of the angle is quantified by an upper bound on the convergence rate. This rate is seen in the numerical simulations where local …

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Smart Quantum Statistical Imaging Beyond The Abbe-Rayleigh Criterion, Narayan Bhusal, Mingyuan Hong, Ashe Miller, Mario A. Quiroz-Juárez, Roberto De J. León-Montiel, Chenglong You, Omar S. Magaña-Loaiza Dec 2022

Smart Quantum Statistical Imaging Beyond The Abbe-Rayleigh Criterion, Narayan Bhusal, Mingyuan Hong, Ashe Miller, Mario A. Quiroz-Juárez, Roberto De J. León-Montiel, Chenglong You, Omar S. Magaña-Loaiza

Faculty Publications

The wave nature of light imposes limits on the resolution of optical imaging systems. For over a century, the Abbe-Rayleigh criterion has been utilized to assess the spatial resolution limits of imaging instruments. Recently, there has been interest in using spatial projective measurements to enhance the resolution of imaging systems. Unfortunately, these schemes require a priori information regarding the coherence properties of “unknown” light beams and impose stringent alignment conditions. Here, we introduce a smart quantum camera for superresolving imaging that exploits the self-learning features of artificial intelligence to identify the statistical fluctuations of unknown mixtures of light sources at …

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Health Physics Workforce In The United States, Michael A. Noska, Caridad Borrás, E. Vincent Holahan, Shaheen A. Dewji, Thomas E. Johnson, Jerry W. Hiatt, Wayne D. Newhauser, John W. Poston, Nolan Hertel Dec 2022

Health Physics Workforce In The United States, Michael A. Noska, Caridad Borrás, E. Vincent Holahan, Shaheen A. Dewji, Thomas E. Johnson, Jerry W. Hiatt, Wayne D. Newhauser, John W. Poston, Nolan Hertel

Faculty Publications

No abstract provided.

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Medical Physics Workforce In The United States, Wayne D. Newhauser, Dustin A. Gress, Michael D. Mills, David W. Jordan, Steven G. Sutlief, Melissa C. Martin, Edward Jackson Dec 2022

Medical Physics Workforce In The United States, Wayne D. Newhauser, Dustin A. Gress, Michael D. Mills, David W. Jordan, Steven G. Sutlief, Melissa C. Martin, Edward Jackson

Faculty Publications

No abstract provided.

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Detecting Quantum Critical Points Of Correlated Systems By Quantum Convolutional Neural Network Using Data From Variational Quantum Eigensolver, Nathaniel Wrobel, Anshumitra Baul, Ka Ming Tam, Juana Moreno Dec 2022

Detecting Quantum Critical Points Of Correlated Systems By Quantum Convolutional Neural Network Using Data From Variational Quantum Eigensolver, Nathaniel Wrobel, Anshumitra Baul, Ka Ming Tam, Juana Moreno

Faculty Publications

Machine learning has been applied to a wide variety of models, from classical statistical mechanics to quantum strongly correlated systems, for classifying phase transitions. The recently proposed quantum convolutional neural network (QCNN) provides a new framework for using quantum circuits instead of classical neural networks as the backbone of classification methods. We present the results from training the QCNN by the wavefunctions of the variational quantum eigensolver for the one-dimensional transverse field Ising model (TFIM). We demonstrate that the QCNN identifies wavefunctions corresponding to the paramagnetic and ferromagnetic phases of the TFIM with reasonable accuracy. The QCNN can be trained …

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Probiotic Incorporation Into Yogurt And Various Novel Yogurt-Based Products, Douglas W. Olson, Kayanush J. Aryana Dec 2022

Probiotic Incorporation Into Yogurt And Various Novel Yogurt-Based Products, Douglas W. Olson, Kayanush J. Aryana

Faculty Publications

Probiotics are commonly added to yogurt to provide many health benefits for the consumer. A description is provided for some commonly used probiotics in yogurt. A GRAS (generally recognized as safe) list of probiotic bacteria that can be added to yogurt or similar types of products is provided. Additionally, prebiotics, synbiotics (combination of prebiotics and probiotics), postbiotics, paraprobiotics, and psychobiotics can be added to yogurt. Probiotic yogurt can come in various forms in addition to spoonable yogurt, and yogurt can be used as an ingredient in other food products. Many useful functional ingredients can be applied to probiotic yogurt. The …

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Long-Term Interactive Corrosion Between International Simple Glass And Stainless Steel, Chandi Mohanty, Xiaolei Guo, Huseyin Kaya, Stephane Gin, Kun Yang, Zelong Zhang, Seong H. Kim, Jie Lian, Jianwei Wang, Gerald S. Frankel Dec 2022

Long-Term Interactive Corrosion Between International Simple Glass And Stainless Steel, Chandi Mohanty, Xiaolei Guo, Huseyin Kaya, Stephane Gin, Kun Yang, Zelong Zhang, Seong H. Kim, Jie Lian, Jianwei Wang, Gerald S. Frankel

Faculty Publications

The interactive corrosion between stainless steel 316 (SS) and International Simple Glass (ISG) has been studied for 12 months. The samples were placed in intimate contact to create crevice corrosion conditions on SS in a 0.6 M NaCl solution with and without 142 ppm dissolved silica species enriched in 29Si. Corrosion on SS was observed with large pits located close to the crevice mouth at the end of 1 year in 0.6 M NaCl solution. The SS corrosion was also associated with the dissolution of nearby glass in a highly localized manner. When the leaching solution was saturated with …

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Dual Nature Of Magnetic Nanoparticle Dispersions Enables Control Over Short-Range Attraction And Long-Range Repulsion Interactions, Ahmed Al Harraq, Aubry A. Hymel, Emily Lin, Thomas M. Truskett, Bhuvnesh Bharti Dec 2022

Dual Nature Of Magnetic Nanoparticle Dispersions Enables Control Over Short-Range Attraction And Long-Range Repulsion Interactions, Ahmed Al Harraq, Aubry A. Hymel, Emily Lin, Thomas M. Truskett, Bhuvnesh Bharti

Faculty Publications

Competition between attractive and repulsive interactions drives the formation of complex phases in colloidal suspensions. A major experimental challenge lies in decoupling independent roles of attractive and repulsive forces in governing the equilibrium morphology and long-range spatial distribution of assemblies. Here, we uncover the ‘dual nature’ of magnetic nanoparticle dispersions, particulate and continuous, enabling control of the short-range attraction and long-range repulsion (SALR) between suspended microparticles. We show that non-magnetic microparticles suspended in an aqueous magnetic nanoparticle dispersion simultaneously experience a short-range depletion attraction due to the particulate nature of the fluid in competition with an in situ tunable long-range …

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Assessing Aerodynamic Loads On Low-Rise Buildings Considering Reynolds Number And Turbulence Effects: A Review, Md Faiaz Khaled, Aly Mousaad Aly Dec 2022

Assessing Aerodynamic Loads On Low-Rise Buildings Considering Reynolds Number And Turbulence Effects: A Review, Md Faiaz Khaled, Aly Mousaad Aly

Faculty Publications

This paper presents an extensive review of existing techniques used in estimating design wind pressures considering Reynolds number and turbulence effects, as well as a case study of a reference building investigated experimentally. We shed light on the limitations of current aerodynamic testing techniques, provisions in design standards, and computational fluid dynamics (CFD) methods to predict wind-induced pressures. The paper highlights the reasons for obstructing the standardization of the wind tunnel method. Moreover, we introduce improved experimental and CFD techniques to tackle the identified challenges. CFD provides superior and efficient performance by employing wall-modeled large-eddy simulation (WMLES) and hybrid RANS-LES …

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