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Sexually Dimorphic Oxytocin Receptor-Expressing (Oxtr) Neurons In The Anteroventral Periventricular Nucleus (Avpv) In The Postpartum Female Mouse Are Involved In Maternal Behavior, Kaustubh Sharma, Armita A. Govar, Bandana Ghimire, Katsuhiko Nishimori, Elizabeth Hammock, Ryoichi Teruyama Oct 2023

Sexually Dimorphic Oxytocin Receptor-Expressing (Oxtr) Neurons In The Anteroventral Periventricular Nucleus (Avpv) In The Postpartum Female Mouse Are Involved In Maternal Behavior, Kaustubh Sharma, Armita A. Govar, Bandana Ghimire, Katsuhiko Nishimori, Elizabeth Hammock, Ryoichi Teruyama

Faculty Publications

Maternal care is crucial for the survival and development of offspring. Oxytocin modulates maternal behavior by binding to oxytocin receptors (OXTRs) in various parts of the brain. Previously, we showed that OXTRs are expressed in the anteroventral periventricular nucleus (AVPV) of female, but not male mice. Because the AVPV is involved in the regulation of maternal behavior and oxytocin enhances its induction, this finding leads to the hypothesis that the female specific population of OXTR neurons in the AVPV regulates maternal behavior. To address this hypothesis, OXTR-Venus reporter mice were used to assess if expression levels of OXTR in the …

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Association Of Prolactin With All-Cause And Cardiovascular Mortality Among Patients With Type 2 Diabetes: A Real-World Study, Yun Shen, Qing Yang, Tingting Hu, Yaxin Wang, Lei Chen, Fei Gao, Wei Zhu, Gang Hu, Jian Zhou, Chunfang Wang, Yuqian Bao Oct 2023

Association Of Prolactin With All-Cause And Cardiovascular Mortality Among Patients With Type 2 Diabetes: A Real-World Study, Yun Shen, Qing Yang, Tingting Hu, Yaxin Wang, Lei Chen, Fei Gao, Wei Zhu, Gang Hu, Jian Zhou, Chunfang Wang, Yuqian Bao

Population and Public Health Science Faculty Publications

Aims The association between prolactin and mortality has been less studied, and findings were inconsistent among different populations. We aimed to investigate the association between serum prolactin (PRL) and mortality among patients with type 2 diabetes. Methods We performed a retrospective cohort study of 10 907 patients with at least 2 prolactin measurements within 2 years since and results their first inpatient diagnosis of type 2 diabetes. Baseline and mean values of serum PRL were used as exposures. A multivariable-adjusted Cox proportional hazards model was used to estimate the association between PRL and mortality. During a mean follow-up of 5.34 …

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Spatial And Wavelet Analysis Of Precipitation And River Discharge During Operation Of The Three Gorges Dam, China, Lirong Yin, Lei Wang, Barry D. Keim, Kory Konsoer, Zhengtong Yin, Mingzhe Liu, Wenfeng Zheng Oct 2023

Spatial And Wavelet Analysis Of Precipitation And River Discharge During Operation Of The Three Gorges Dam, China, Lirong Yin, Lei Wang, Barry D. Keim, Kory Konsoer, Zhengtong Yin, Mingzhe Liu, Wenfeng Zheng

Faculty Publications

The Three Gorges Dam and Reservoir on the Yangtze River is one of the world's largest dams. After the dam's construction in 1997, the reservoir started filling up, expanding to a size of over 600 km2. Therefore, its possible influence on maintaining the size and water level of this waterbody is significant and concerning. This research utilized wavelet coherence analysis to examine the temporal correlation and phase coherence among various datasets, including dam injection (1998–2018) and discharge (2003–2018) data, ground station precipitation data along the Yangtze River (1998–2020), and river discharge raster maps 1998–2018. The analysis revealed a strong coherence …

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Loss Aversion In The Control Of Attention, Sunghyun Kim, Melissa R. Beck, Yang Seok Cho Oct 2023

Loss Aversion In The Control Of Attention, Sunghyun Kim, Melissa R. Beck, Yang Seok Cho

Faculty Publications

Loss aversion is a psychological bias where an increase in loss is perceived as being larger than an equivalent increase in gain. In the present study, two experiments were conducted to explore whether attentional control reflects loss aversion. Participants performed a visual search task. On each trial, a red target and a green target were presented simultaneously, and participants were free to search for either one. Participants always gained points when they searched for a gain color target (e.g., red). However, they gained or lost points when they searched for a gain-loss color target (e.g., green). In Experiment 1, the …

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Deficiency Of Healthcare Accessibility Of Elderly People Exposed To Future Extreme Coastal Floods: A Case Study Of Shanghai, China, Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang Oct 2023

Deficiency Of Healthcare Accessibility Of Elderly People Exposed To Future Extreme Coastal Floods: A Case Study Of Shanghai, China, Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang

Faculty Publications

Socioeconomic development, subsidence, and climate change have led to high flood risks in coastal cities, making the vulnerable, especially elderly people, more prone to floods. However, we mostly do not know how the accessibility of life-saving public resources for the elderly population will change under future scenarios. Using Shanghai as a case, this study introduced a new analytical framework to fill this gap. We integrated for the first time models of coastal flooding, local population growth, and medical resource supply-demand estimation. The results show that under an extreme scenario of coastal flooding in the year 2050, in the absence of …

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U-Net-Lstm: Time Series-Enhanced Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng Oct 2023

U-Net-Lstm: Time Series-Enhanced Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Change detection of natural lake boundaries is one of the important tasks in remote sensing image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons in each layer can only be propagated to the upper layer, and the processing of samples is independent at each moment. However, for time-series data with transferability, the learned change information needs to be recorded and utilized. To solve the above problems, we propose a lake boundary change prediction model combining U-Net and LSTM. The ensemble of LSTMs helps to improve the overall accuracy and robustness of the model by capturing …

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Coir/Glass Hybrid Fiber Reinforced Thermoset Polymer Composite Laminates With Room-Temperature Self-Healing And Shape Memory Functions, Sakil Mahmud, John Konlan, Jenny Deicaza, Guoqiang Li Oct 2023

Coir/Glass Hybrid Fiber Reinforced Thermoset Polymer Composite Laminates With Room-Temperature Self-Healing And Shape Memory Functions, Sakil Mahmud, John Konlan, Jenny Deicaza, Guoqiang Li

Faculty Publications

Natural fibers have a lot of potentials as renewable reinforcements for polymers. However, their lower load-carrying capacity compared with synthetic fibers made it a challenge to use them as polymer reinforcements. When a laminated composite beam is bent, the normal stress is the highest on the top and bottom layers and zero in the midplane due to the (non)linear distribution of normal strain. Even though the shear stress is the highest in the midplane, most polymers can tolerate the high shear stress. Therefore, hybrid composite laminates with strong synthetic glass fibers stacked over the core of weak natural coir fiber …

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Machine-Learning-Based Thermal Conductivity Prediction For Additively Manufactured Alloys, Uttam Bhandari, Yehong Chen, Huan Ding, Congyuan Zeng, Selami Emanet, Paul R. Gradl, Shengmin Guo Oct 2023

Machine-Learning-Based Thermal Conductivity Prediction For Additively Manufactured Alloys, Uttam Bhandari, Yehong Chen, Huan Ding, Congyuan Zeng, Selami Emanet, Paul R. Gradl, Shengmin Guo

Faculty Publications

Thermal conductivity (TC) is greatly influenced by the working temperature, microstructures, thermal processing (heat treatment) history and the composition of alloys. Due to computational costs and lengthy experimental procedures, obtaining the thermal conductivity for novel alloys, particularly parts made with additive manufacturing, is difficult and it is almost impossible to optimize the compositional space for an absolute targeted value of thermal conductivity. To address these difficulties, a machine learning method is explored to predict the TC of additive manufactured alloys. To accomplish this, an extensive thermal conductivity dataset for additively manufactured alloys was generated for several AM alloy families (nickel, …

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Additive Friction Stir Deposition Of Metallic Materials: Process, Structure And Properties, Jiayun Shao, Arash Samaei, Tianju Xue, Xiaoyu Xie, Shengmin Guo, Jian Cao, Eric Macdonald, Zhengtao Gan Oct 2023

Additive Friction Stir Deposition Of Metallic Materials: Process, Structure And Properties, Jiayun Shao, Arash Samaei, Tianju Xue, Xiaoyu Xie, Shengmin Guo, Jian Cao, Eric Macdonald, Zhengtao Gan

Faculty Publications

Additive friction stir deposition (AFSD) is a relatively new additive manufacturing technique to fabricate parts in solid state below the melting temperature. Due to the solid-state nature, AFSD benefits from lower residual stresses as well as significantly lower susceptibility to porosity, hot-cracking, and other defects compared to conventional fusion-based metallic additive manufacturing. These unique features make AFSD a promising alternative to conventional forging for fabricating large structures for aerospace, naval, nuclear, and automotive applications. This review comprehensively summarizes the advances in AFSD, as well as the microstructure and properties of the final part. Given the rapidly growing research in AFSD, …

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The Standard For Assessing Water Resistance Properties Of Lubricating Grease Using Contact Angle Measurements, Koottaparambil Lijesh, Roger A. Miller, Raj Shah, Khosro Shirvani, Michael M. Khonsari Oct 2023

The Standard For Assessing Water Resistance Properties Of Lubricating Grease Using Contact Angle Measurements, Koottaparambil Lijesh, Roger A. Miller, Raj Shah, Khosro Shirvani, Michael M. Khonsari

Faculty Publications

Many grease-lubricated machines operate in wet environments, and are vulnerable to contamination because of water exposure. Reports suggest that even the presence of 1% water in grease reduces the life of a bearing by 90%. Nevertheless, only a few qualitative tests and standards are available to characterize the water resistance properties of greases. In this paper, we propose a standard for evaluating the water resistance properties of greases by studying their hydrophobic and hydrophilic nature via a custom-designed apparatus for measuring the grease contact angle. In this approach, a water droplet is dispensed onto the surface of the grease and …

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In Situ Prediction Of Metal Fatigue Life Using Frequency Change, Ali Mahmoudi, Mohammad A. Amooie, Lijesh Koottaparambil, Michael M. Khonsari Oct 2023

In Situ Prediction Of Metal Fatigue Life Using Frequency Change, Ali Mahmoudi, Mohammad A. Amooie, Lijesh Koottaparambil, Michael M. Khonsari

Faculty Publications

A reliable technique for rapid prediction of the remaining useful life (RUL) of components experiencing fatigue degradation is introduced. The approach is based on measuring the temperature signature of a component upon rapidly changing its operating frequency for a short period of time. The temperature variations caused by alterations in plastic work rate are correlated to the loading history. The efficacy of the approach is investigated by conducting a series of axial fatigue tests on stainless steel 316 specimens. The material characterization involves subjecting the material to a constant amplitude fatigue load at 4 Hz and 12 Hz frequencies. The …

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Comparative Analyses Of Covariance Matrix Adaptation And Iterative Ensemble Smoother On High-Dimensional Inverse Problems In High-Resolution Groundwater Modeling, Shuo Yang, Frank T.C. Tsai, Peter Bacopoulos, Christopher E. Kees Oct 2023

Comparative Analyses Of Covariance Matrix Adaptation And Iterative Ensemble Smoother On High-Dimensional Inverse Problems In High-Resolution Groundwater Modeling, Shuo Yang, Frank T.C. Tsai, Peter Bacopoulos, Christopher E. Kees

Faculty Publications

Parameter estimation is an inverse problem which is crucial to reliable groundwater model predictions and management. Numerous techniques have been developed to address this challenging problem. This study aims to compare the performance of a stochastic optimization method, covariance matrix adaptation-evolution strategy (CMA-ES), and a data assimilation method, Levenberg-Marquardt based iterative ensemble smoother (ES-LM), on solving inverse problems in groundwater modeling. This study also presents a parallelization strategy to accelerate their implementation. The comparative analysis involves synthetic inverse problems and a real-world case study of calibrating a high-resolution groundwater model. Results from the synthetic problems suggest that both the CMA-ES …

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Coupled Wellbore-Reservoir Modelling To Evaluate Co2 Injection Rate Distribution Over Thick Multilayer Storage Zones, Mohamed Abdelaal, Mehdi Zeidouni Oct 2023

Coupled Wellbore-Reservoir Modelling To Evaluate Co2 Injection Rate Distribution Over Thick Multilayer Storage Zones, Mohamed Abdelaal, Mehdi Zeidouni

Faculty Publications

Technical and economic feasibility of Geologic CO2 Storage (GCS) projects requires maximizing the amount of stored CO2 per unit pore space of the storage zone per well. Considering injection through a fully penetrating vertical well in a multi-layer thick aquifer, CO2 would be unevenly distributed over the aquifer thickness, underutilizing the available pore space. In this work, we use coupled wellbore-reservoir modelling to investigate the interplay between the parameters that control CO2 pore-space filling. Flow capacity profile and gravity/buoyancy override are the primary factors controlling CO2 flux into a layered system. In addition, a higher fraction of CO2 would flow …

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Weakly Forced Thunderstorms In The Southeast Us Are Stronger Near Urban Areas, P. Miller, N. Debbage Sep 2023

Weakly Forced Thunderstorms In The Southeast Us Are Stronger Near Urban Areas, P. Miller, N. Debbage

Faculty Publications

While cities are well documented to enhance precipitation through the urban rainfall effect (URE), the distinguishing characteristics of urban-influenced storms that help establish the URE are poorly understood. The purpose of this study is to examine the morphological traits (i.e., size, duration, intensity, etc.) and near-storm environmental conditions of weakly forced thunderstorms (WFTs) occurring near urban areas in the Southeast US relative to storms forming in surrounding rural areas. Urban WFTs are found to have higher reflectivities, are more likely to contain hail, and produce more lightning than nearby non-urban storms, but their sizes and shapes are statistically indistinguishable. When …

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Patient Specific Normalized Glandular Dose Range Estimate For Mammography, Lacey Medlock Sep 2023

Patient Specific Normalized Glandular Dose Range Estimate For Mammography, Lacey Medlock

LSU Master's Theses

Breast cancer is the most common type of cancer among women in the United States. It is also the second leading cause of death by cancer among women in the United States. Early detection is key to preventing fatalities. There are over 39 million mammography screening procedures performed yearly [3]. We know that exposure to radiation, including in routine mammography, may induce secondary cancers [4]. Thus, it is important to be able to accurately estimate the dose delivered to a patient during breast cancer screening. The dose delivered to a patient is regulated in the US and in many other …

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Self-Healing Composite Of Thermoset Polymer And Programmed Super Contraction Fibers, Guoqiang Li, Harper Meng Sep 2023

Self-Healing Composite Of Thermoset Polymer And Programmed Super Contraction Fibers, Guoqiang Li, Harper Meng

College of Engineering Patents

No abstract provided.

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Methods And Compositions For Thiol-Acrylate Based Matertals For 3d Cell Culturing In A Microfluidic Device, Adam Melvin, John Pojman, Anowar Khan Sep 2023

Methods And Compositions For Thiol-Acrylate Based Matertals For 3d Cell Culturing In A Microfluidic Device, Adam Melvin, John Pojman, Anowar Khan

College of Engineering Patents

Provided are thiol-acrylate hydrogels and tunable cell culture materials including thiol-acrylate hydrogels, and methods of making thereof. Also provided are systems for forming three-dimensional cell culture scaffolds including the materials, and methods of culturing cells, including cancer cells, using thiol-acrylate hydrogels and tunable cell culture materials. The materials herein can be used in microfluidic droplet-generating devices.

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Quantification Of Solution-Free Red Blood Cell Staining By Sorption Kinetics Of Romanowsky Stains To Agarose Gels, Chae Yun Bae, Hamid Esmaeili, Syed A. Zamin, Min Jeong Seol, Eunmi Hwang, Suk Kyung Beak, Younghoon Song, Bhuvnesh Bharti, Jangwook P. Jung Sep 2023

Quantification Of Solution-Free Red Blood Cell Staining By Sorption Kinetics Of Romanowsky Stains To Agarose Gels, Chae Yun Bae, Hamid Esmaeili, Syed A. Zamin, Min Jeong Seol, Eunmi Hwang, Suk Kyung Beak, Younghoon Song, Bhuvnesh Bharti, Jangwook P. Jung

Faculty Publications

The imaging and quantification of stained red blood cells (RBCs) are important for identifying RBCs in hematology and for diagnosing diseased RBCs or parasites in cytopathology. Romanowsky staining has been used traditionally to produce hues in blood cells using a mixture of anionic eosin Y and cationic methylene blue and azure B. While Romanowsky stains have been widely used in cytopathology, end-users have experienced problems with varying results in staining due to the premature precipitation or evaporation of methanol, leading to the inherent inconsistency of solution-based Romanowsky staining. Herein, we demonstrate that the staining and destaining of blood smears are …

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Greater Male Variability In Daily Energy Expenditure Develops Through Puberty, Lewis G. Halsey, Vincent Careau, Philip N. Ainslie, Heliodoro Alemán-Mateo, Lene F. Andersen, Liam J. Anderson, Leonore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Soren Brage, Maciej S. Buchowski, Nancy Butte, Stephan G. Camps, Regian Casper, Graeme L. Close, Lisa H. Colbert, Jamie A. Cooper, Richard Cooper, Prasangi Dabare, Sai Krupa Das, Peter S.W. Davies, Sanjoy Deb, Christine Delisle Nyström, William Dietz, Lara R. Dugas, Simon Eaton, Ulf Ekelund Sep 2023

Greater Male Variability In Daily Energy Expenditure Develops Through Puberty, Lewis G. Halsey, Vincent Careau, Philip N. Ainslie, Heliodoro Alemán-Mateo, Lene F. Andersen, Liam J. Anderson, Leonore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Soren Brage, Maciej S. Buchowski, Nancy Butte, Stephan G. Camps, Regian Casper, Graeme L. Close, Lisa H. Colbert, Jamie A. Cooper, Richard Cooper, Prasangi Dabare, Sai Krupa Das, Peter S.W. Davies, Sanjoy Deb, Christine Delisle Nyström, William Dietz, Lara R. Dugas, Simon Eaton, Ulf Ekelund

Faculty Publications

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at …

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End Block Dynamics In Unentangled Polymers By Dielectric Spectroscopy, Mengchun Wu, Karin J. Bichler, Bruno Jakobi, Alyssa Grzesiowski, Gerald J. Schneider Sep 2023

End Block Dynamics In Unentangled Polymers By Dielectric Spectroscopy, Mengchun Wu, Karin J. Bichler, Bruno Jakobi, Alyssa Grzesiowski, Gerald J. Schneider

Faculty Publications

Dielectric spectroscopy measures the dynamics of polymer melts over a broad frequency range. Developing a theory for the spectral shape can extend the analysis of dielectric spectra beyond determining relaxation times from the peak maxima and adds physical meaning to shape parameters determined with empirical fit functions. Toward this goal, we use the experimental results on unentangled poly(isoprene), and unentangled poly(butylene oxide), polymer melts, to test whether the concept of end blocks could be one reason for the Rouse model deviating from experimental data. These end blocks have been suggested by simulations and neutron spin echo spectroscopy and are a …

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Synthesis, Crystal And Electronic Structure Of The Zintl Phase Ba16sb11. A Case Study Uncovering Greater Structural Complexity Via Monoclinic Distortion Of The Tetragonal Ca16sb11 Structure Type., Sviatoslav Baranets, Alexander Ovchinnikov, S. M.Gayomi K. Samarakoon, Svilen Bobev Sep 2023

Synthesis, Crystal And Electronic Structure Of The Zintl Phase Ba16sb11. A Case Study Uncovering Greater Structural Complexity Via Monoclinic Distortion Of The Tetragonal Ca16sb11 Structure Type., Sviatoslav Baranets, Alexander Ovchinnikov, S. M.Gayomi K. Samarakoon, Svilen Bobev

Faculty Publications

The binary Zintl phase Ba16Sb11 has been synthesized and structurally characterized. Detailed studies via single-crystal X-ray diffraction methods indicate that although Ba16Sb11 appears to crystallize in the tetragonal Ca16Sb11 structure type (space group P (Figure presented.) 21m with a=13.5647(9) Å, c=12.4124(12) Å, Z=2, R1=3.14 %; wR2=4.77 %), there exists an extensive structural disorder. Some Ba16Sb11 crystals were found to be monoclinic and the structure was solved and refined in space group P21 (a=18.3929(12) Å, b=13.5233(8) Å, c=18.3978(12) Å, β=94.6600(10)°; Z=4, R1=5.84 %; wR2=9.58 %). The latter corresponds to a 2-fold superstructure of the tetragonal one, which provides a disorder-free structural …

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Cationic Cobalt(Ii) Bisphosphine Hydroformylation Catalysis: In Situ Spectroscopic And Reaction Studies, Drew M. Hood, Ryan A. Johnson, David J. Vinyard, Frank R. Fronczek, George G. Stanley Sep 2023

Cationic Cobalt(Ii) Bisphosphine Hydroformylation Catalysis: In Situ Spectroscopic And Reaction Studies, Drew M. Hood, Ryan A. Johnson, David J. Vinyard, Frank R. Fronczek, George G. Stanley

Faculty Publications

[HCo(CO)x(bisphosphine)](BF4), x = 1-3, is a highly active hydroformylation catalyst system, especially for internal branched alkenes. In situ infrared spectroscopy (IR), electron paramagnetic resonance (EPR), and nuclear magnetic resonance studies support the proposed catalyst formulation. IR studies reveal the formation of a dicationic Co(I) paramagnetic CO-bridged dimer, [Co2(μ-CO)2(CO)(bisphosphine)2]2+, at lower temperatures formed from the reaction of two catalyst complexes via the elimination of H2. DFT studies indicate a dimer structure with square-pyramidal and tetrahedral cobalt centers. This monomer-dimer equilibrium is analogous to that seen for HCo(CO)4, reacting to eliminate H2 and form Co2(CO)8. EPR studies on the catalyst …

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Highly Flexible, Self-Bonding, Self-Healing, And Conductive Soft Pressure Sensors Based On Dicarboxylic Cellulose Nanofiber Hydrogels, Ragab Abouzeid, Mohammad Shayan, Tongyao Wu, Jaegyoung Gwon, Timo A. Kärki, Qinglin Wu Sep 2023

Highly Flexible, Self-Bonding, Self-Healing, And Conductive Soft Pressure Sensors Based On Dicarboxylic Cellulose Nanofiber Hydrogels, Ragab Abouzeid, Mohammad Shayan, Tongyao Wu, Jaegyoung Gwon, Timo A. Kärki, Qinglin Wu

Faculty Publications

Conductive hydrogels have gained a great deal of interest in the flexible electronics industry because of their remarkable inherent properties. However, a significant challenge remains for balancing hydrogel’s conductivity, self-healing, and strength properties. Herein, double network ionic hydrogels were fabricated by concurrently introducing borax into dicarboxylic cellulose nanofiber (DCNFs) and polyacrylamide (PAM) hydrogels. The incorporation of borax provided a superabsorbent feature to the PAM/DCNF hydrogels (without borax) with the equilibrium water absorption rate increased from 552 to 1800% after 42 h. The compressive strength of the prepared hydrogel was 935 kPa compared to 132 kPa for the PAM hydrogel, with …

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Chitosan-Coated Lignin Nanoparticles Enhance Adsorption And Proliferation Of Alcanivorax Borkumensis At The Hexadecane-Water Interface, Amber J. Pete, Jin Gyun Lee, Michael G. Benton, Bhuvnesh Bharti Sep 2023

Chitosan-Coated Lignin Nanoparticles Enhance Adsorption And Proliferation Of Alcanivorax Borkumensis At The Hexadecane-Water Interface, Amber J. Pete, Jin Gyun Lee, Michael G. Benton, Bhuvnesh Bharti

Faculty Publications

Bioremediation of oil spills occurs when indigenous microbes metabolize petroleum hydrocarbons. Rapid proliferation of hydrocarbon-consuming bacteria near the oil-water interface is vital to optimizing the oil biodegradation rate. Adding nanoparticles (NPs) to microbial systems can enhance the bacterial growth rate. However, the role of NP source material and surface charge on their ability to impact bacterial growth and oil-water interface characteristics is poorly understood. Here, we investigate the role of NP composition and surface chemistry on the growth rate of hydrocarbon-consuming bacteria and its attachment to the oil-water interface. We use Alcanivorax borkumensis as a model organism because of its …

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Structured Ethical Review For Wastewater-Based Testing In Support Of Public Health, Devin A. Bowes, Amanda Darling, Erin M. Driver, Devrim Kaya, Rasha Maal-Bared, Lisa M. Lee, Kenneth Goodman, Sangeet Adhikari, Srijan Aggarwal, Aaron Bivins, Zuzana Bohrerova, Alasdair Cohen, Claire Duvallet, Rasha A. Elnimeiry, Justin M. Hutchison, Vikram Kapoor, Ishi Keenum, Fangqiong Ling, Deborah Sills, Ananda Tiwari, Peter Vikesland, Ryan Ziels, Cresten Mansfeldt Sep 2023

Structured Ethical Review For Wastewater-Based Testing In Support Of Public Health, Devin A. Bowes, Amanda Darling, Erin M. Driver, Devrim Kaya, Rasha Maal-Bared, Lisa M. Lee, Kenneth Goodman, Sangeet Adhikari, Srijan Aggarwal, Aaron Bivins, Zuzana Bohrerova, Alasdair Cohen, Claire Duvallet, Rasha A. Elnimeiry, Justin M. Hutchison, Vikram Kapoor, Ishi Keenum, Fangqiong Ling, Deborah Sills, Ananda Tiwari, Peter Vikesland, Ryan Ziels, Cresten Mansfeldt

Faculty Publications

Wastewater-based testing (WBT) for SARS-CoV-2 has rapidly expanded over the past three years due to its ability to provide a comprehensive measurement of disease prevalence independent of clinical testing. The development and simultaneous application of WBT measured biomarkers for research activities and for the pursuit of public health goals, both areas with well-established ethical frameworks. Currently, WBT practitioners do not employ a standardized ethical review process, introducing the potential for adverse outcomes for WBT professionals and community members. To address this deficiency, an interdisciplinary workshop developed a framework for a structured ethical review of WBT. The workshop employed a consensus …

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Heat, Hurricanes, And Health: Effects Of Natural Disturbances On Angling Effort, Stephen R. Midway, Paul W. Miller Sep 2023

Heat, Hurricanes, And Health: Effects Of Natural Disturbances On Angling Effort, Stephen R. Midway, Paul W. Miller

Faculty Publications

Recreational angling is a very popular outdoor activity that is weather-dependent, although investigations of this relationship are rare. This study used weekly fishing effort (2015–2021) estimates throughout coastal Louisiana to understand how effort changed in response to weather conditions. Although we found evidence for some effect of all the weather variables, temperature reported the greatest number of monthly effects, along with an overall declining effect throughout the year. We also examined how tropical storms and hurricanes reduce fishing effort, but that effort recovers rapidly after the storm. Finally, we examined fishing effort during the first year of the pandemic (2020) …

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Lipid Correction For Carbon Stable Isotope Analysis Of Yellowfin Tuna, Michael A. Dance, Mitchell S. Lovell Sep 2023

Lipid Correction For Carbon Stable Isotope Analysis Of Yellowfin Tuna, Michael A. Dance, Mitchell S. Lovell

Faculty Publications

Carbon stable isotopes (δ13C) are widely used in ecological studies to understand diet, food web dynamics, and movements of marine fishes. Still, δ13C is influenced by lipid content and often requires chemical extraction or mathematical correction. Here, we developed a species-specific mathematical lipid correction for white muscle tissue of yellowfin tuna (Thunnus albacares), a highly migratory finfish of considerable economic and ecological value. Lipid extraction was conducted on yellowfin tuna white muscle tissue (C:N range: 2.96–6.49), and both linear and non-linear lipid correction models for δ13C were fitted and assessed. Lipid extraction increased δ …

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Serum Sulfur-Containing Amino Acids And Risk Of Maternal Gestational Diabetes And Adverse Growth Patterns In Offspring, Ninghua Li, Jing Li, Hui Wang, Yijuan Qiao, Weiqin Li, Ming Gao, Enqing Liu, Zhijie Yu, Gang Hu, Zhongze Fang, Junhong Leng, Xilin Yang Sep 2023

Serum Sulfur-Containing Amino Acids And Risk Of Maternal Gestational Diabetes And Adverse Growth Patterns In Offspring, Ninghua Li, Jing Li, Hui Wang, Yijuan Qiao, Weiqin Li, Ming Gao, Enqing Liu, Zhijie Yu, Gang Hu, Zhongze Fang, Junhong Leng, Xilin Yang

Population and Public Health Science Faculty Publications

Background: To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. Methods: We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. Results: High serum methionine and …

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New Frontiers In The Measurement Of Energy Metabolism, Alexandra Niclou, Philippe St-Martin, Leanne M. Redman, Audrey Bergouignan Sep 2023

New Frontiers In The Measurement Of Energy Metabolism, Alexandra Niclou, Philippe St-Martin, Leanne M. Redman, Audrey Bergouignan

Clinical Research Faculty Publications

This perspective highlights three key areas of current and future energy metabolism research: intergenerational health, climate change, and interplanetary exploration. We describe the recent advances in determining estimated energy requirements for a large subset of the general population using the gold standard method for free-living total daily energy expenditure estimates, the doubly labeled water method. The global rise in overweight and obesity demands particular attention to energy requirements in pregnancy and early life, as accumulating evidence contributes to our understanding of intergenerational health transmission and the potential for epigenetic programming in utero. We also acknowledge some gaps in necessary guidelines …

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The World's 100 Worst Invasive Alien Insect Species Differ In Their Characteristics From Related Non-Invasive Species, Zihua Zhao, Cang Hui, Shuo Peng, Shanqing Yi, Zhihong Li, Gadi V.P. Reddy, Mark Van Kleunen Sep 2023

The World's 100 Worst Invasive Alien Insect Species Differ In Their Characteristics From Related Non-Invasive Species, Zihua Zhao, Cang Hui, Shuo Peng, Shanqing Yi, Zhihong Li, Gadi V.P. Reddy, Mark Van Kleunen

Faculty Publications

While there has been great interest in species characteristics that promote invasiveness, still little is known about the characteristics that distinguish invasive from non-invasive insects. Using a database on the naturalised distributions of alien insects and expert opinions about their impacts, we identified the world's 100 worst invasive insect species. By comparing species characteristics reported in the literature using a meta-analysis, between the 100 worst invasive species and related non-invasive species, we found that invasive insects overall have more pathways of introduction, occur in more habitats, have higher fecundities, higher voltinism, more genes, shorted lifespans and faster development from egg …

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