Using Ftir-Atr To Predict Saccharification From Enzymatic Hydrolysis Of Physically Pretreated Lignocellulosic Biomass,
2020
Bucknell University
Using Ftir-Atr To Predict Saccharification From Enzymatic Hydrolysis Of Physically Pretreated Lignocellulosic Biomass, Rajasri Alaparthi
Master’s Theses
Producing biofuels from lignocellulosic biomass (i.e., non-edible plants) can reduce greenhouse gas emissions. The main challenge in converting lignocellulose to fuel, however, lies in the bioconversion process of biomass to sugars. To overcome the recalcitrance of the plant cell walls, pretreatment (e.g., ball milling) can be coupled with enzymatic hydrolysis to produce sugar monomers (e.g., glucose and xylose). The research question in this thesis study was “Can Fourier Transform Infrared Spectroscopy Attenuated Total Reflectance (FTIR-ATR) applied to untreated and physically pretreated lignocellulosic biomasses coupled with chemometric analysis predict sugar yields from enzymatic hydrolysis?” PLS models were constructed by correlating the …
A Comparison Of Data-Driven And Process-Based Modeling For Nutrient Estimation In A Eutrophic Reservoir,
2020
University of Texas at El Paso
A Comparison Of Data-Driven And Process-Based Modeling For Nutrient Estimation In A Eutrophic Reservoir, Yohtaro Kobayashi
Open Access Theses & Dissertations
As land use around bodies of water changes, the need to model the body of water increases. Models help to educate, understand, and predict the state of water. Process-based models are commonly used in modelling bodies of water, but there are challenges with these kinds of models. They require data which can be difficult for certain communities to obtain due to logistics or cost, are computationally intensive, technically complicated, and require calibration. In contrast, a data-driven model simply connect relationships from the data, are not as computationally intensive nor technically complicated, and do not require calibration. This research compared a …
Life Cycle Studies To Evaluate The Physiological And Biochemical Effects Of Copper Oxide And Surface-Coated Titanium Dioxide Nanoparticles On Green Onion (Allium Fistulosum) And Carrot (Daucus Carota L.) Plants: Insights Utilizing Two-Photon Microscopy And Spectroscopy,
2020
University of Texas at El Paso
Life Cycle Studies To Evaluate The Physiological And Biochemical Effects Of Copper Oxide And Surface-Coated Titanium Dioxide Nanoparticles On Green Onion (Allium Fistulosum) And Carrot (Daucus Carota L.) Plants: Insights Utilizing Two-Photon Microscopy And Spectroscopy, Yi Wang
Open Access Theses & Dissertations
With the recent increase of nanomaterial production, nano copper oxide (nCuO) and surface-modified titanium dioxide nanoparticles (nTiO2) are among the most widely applied nanoparticles in industry and daily lives. Their use has resulted in accumulation in soils as a consequence of their direct or indirect release. Hence, these NPs may raise a potential risk to crops cultivated in soils. Moreover, the physiological effects of nCuO on green onion (Allium fistulosum) and surface-coated nTiO2 on full-grown carrot (Daucus carota L.) are still unknown. Green onion is characterized by its high content of the antioxidant allicin, and carrot is a worldwide economic …
Implementation Of Real-Time Decision Support Technology At Akron Water Reclamation Facility,
2020
The University of Akron
Implementation Of Real-Time Decision Support Technology At Akron Water Reclamation Facility, Hunter Durbin
Williams Honors College, Honors Research Projects
Advances in computer science, data analytics, hardware, and software are changing the way that sewer collection systems are able to operate. By combining these technologies into something called a Real-Time Decision Support System (RTDSS), operators of sewer collection systems can make operational decisions supported by data being recorded throughout the sewer system in real-time. A RTDSS has the potential to optimize the available capacity of a sewer collection system at a lower cost compared to traditional construction solutions. The City of Akron is in the process of implementing a RTDSS in their sewer collection system. This report analyzes how the …
Water Condensation Collection For Disaster Relief,
2020
The University of Akron
Water Condensation Collection For Disaster Relief, Tyler Gaydosh
Williams Honors College, Honors Research Projects
Numerous populations experience sudden, unexpected circumstances where drinking water supply may be compromised. Current leading response strategies include the delivery of disposable water bottles, a simple and effective way of meeting the demand of fresh drinking water. The lack of reusability results in problems with waste and cost. Any response to provide drinking water to a population in these circumstances must consider a prolonged crisis and these limitations: minimal delivery opportunities, power supply, and waste management (e.g., aftereffects of Hurricane Maria in Puerto Rico). A review of alternatives for water collection was done to determine a viable collection method that …
Evaluation And Modeling Of Electrodialysis For High-Recovery Brackish Water Desalination,
2020
University of Texas at El Paso
Evaluation And Modeling Of Electrodialysis For High-Recovery Brackish Water Desalination, Shahrouz Jafarzade Ghadimi
Open Access Theses & Dissertations
This research investigates the feasibility of desalination of brackish water with electrodialysis (ED), using laboratory testing and mathematical modeling. Several experiments were performed to characterize ion-specific transport and to evaluate tradeoffs between salinity removal and specific energy consumption. A 200 cm2 Ameridia ED stack was used to perform desalination experiments with real brackish groundwater from the Kay Bailey Hutchison desalination plant in El Paso, Texas, and the results showed limiting current density of 160 A/m2 for 5 cm/s. A higher conductivity reduction was observed for flow velocity of 5 cm/s compared to 13 cm/s. Ion transport selectivity (based on relative …
Field Assessment Of Interreplicate Variability From Eight Electromagnetic Soil Moisture Sensors,
2020
University of Nebraska–Lincoln
Field Assessment Of Interreplicate Variability From Eight Electromagnetic Soil Moisture Sensors, Tsz Him Lo, Daran Rudnick, Jasreman Singh, Hope Njuki Nakabuye, Abia Katimbo, Derek M. Heeren, Yufeng Ge
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Interreplicate variability—the spread in output values among units of the same sensor subjected to essentially the same condition—can be a major source of uncertainty in sensor data. To investigate the interreplicate variability among eight electromagnetic soil moisture sensors through a field study, eight units of TDR315, CS616, CS655, HydraProbe2, EC5, 5TE, and Teros12 were installed at a depth of 0.30 m within 3 m of each other, whereas three units of AquaSpy Vector Probe were installed within 3 m of each other. The magnitude of interreplicate variability in volumetric water content (θv) was generally similar between a static …
Development And Application Of A Performance And
Operational Feasibility Guide To Facilitate Adoption
Of Soil Moisture Sensors,
2020
University of Nebraska-Lincoln
Development And Application Of A Performance And Operational Feasibility Guide To Facilitate Adoption Of Soil Moisture Sensors, Meetpal S. Kukal, Suat Irmak, Kiran Sharma
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Soil moisture sensors can be effective and promising decision-making tools for diverse applications and audiences, including agricultural managers, irrigation practitioners, and researchers. Nevertheless, there exists immense adoption potential in the United States, with only 1.2 in 10 farms nationally using soil moisture sensors to decide when to irrigate. This number is much lower in the global scale. Increased adoption is likely hindered by lack of scientific support in need assessment, selection, suitability and use of these sensors. Here, through extensive field research, we address the operational feasibility of soil moisture sensors, an aspect which has been overlooked in the past, …
Effects Of Farrowing Stall Layout And Number Of Heat Lamps On Sow And Piglet Production Performance,
2020
Iowa State University
Effects Of Farrowing Stall Layout And Number Of Heat Lamps On Sow And Piglet Production Performance, Suzanne M. Leonard, Hongwei Xin, Tami M. Brown-Bandl, Brett C. Ramirez, Somak Dutta, Gary A. Rohrer
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Most farrowing facilities in the United States use stalls and heat lamps to improve sow and piglet productivity. This study investigated these factors by comparing production outcomes for three different farrowing stall layouts (traditional, expanded creep area, expanded sow area) and use of one or two heat lamps. Data were collected on 427 sows and their litters over one year. Results showed no statistical differences due to experimental treatment for any of the production metrics recorded, excluding percent stillborn. Parity one sows had fewer piglets born alive (p < 0.001), lower percent mortality (p = 0.001) and over-lay (p = 0.003), and a …
Influence Of Watershed Characteristics On Streambed Hydraulic Conductivity Across
Multiple Stream Orders,
2020
University of Nebraska - Lincoln
Influence Of Watershed Characteristics On Streambed Hydraulic Conductivity Across Multiple Stream Orders, Olufemi P. Abimbola, Aaron R. Mittelstet, Troy E. Gilmore, Jesse T. Korus
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Streambeds are critical hydrological interfaces: their physical properties regulate the rate, timing, and location of fluxes between aquifers and streams. Streambed vertical hydraulic conductivity (Kv) is a key parameter in watershed models, so understanding its spatial variability and uncertainty is essential to accurately predicting how stresses and environmental signals propagate through the hydrologic system. Most distributed modeling studies use generalized Kv estimates from column experiments or grain-size distribution, but Kv may include a wide range of orders of magnitude for a given particle size group. Thus, precisely predicting Kv spatially has remained conceptual, experimental, …
Cover Crop Productivity And Subsequent Soybean Yield In The Western Corn Belt,
2020
University of Nebraska-Lincoln
Cover Crop Productivity And Subsequent Soybean Yield In The Western Corn Belt, Katja Koehler-Cole, Roger W. Elmore, Humberto Blanco-Canqui, Charles A. Francis, Charles Shapiro, Christopher A. Proctor, Sabrina J. Ruis, Derek M. Heeren, Suat Irmak, Richard Ferguson
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Cover crops (CC) in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] rotations may prevent N loss and provide other ecosystem services but CC productivity in the western Corn Belt is limited by the short growing season. Our objective was to assess CC treatment and planting practice effects on CC biomass, spring soil nitrate concentrations, and soybean yield at two rainfed sites in eastern and one irrigated site in south-central Nebraska over 4 years. Cover crop treatments (cereal rye [Secale cereale L.] [RYE] and a mix of rye, legume, and brassica species [MIX]) were planted …
Calibration Of A Common Shortwave Multispectral Camera System For Quantitative Agricultural Applications,
2020
University of Nebraska-Lincoln
Calibration Of A Common Shortwave Multispectral Camera System For Quantitative Agricultural Applications, J. Burdette Barker, Wayne Woldt, Brian Wardlow, Christopher Michael Usher Neale, Mitchell S. Maguire, Bryan Leavitt, Derek M. Heeren
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Unmanned aerial systems (UAS) for collecting multispectral imagery of agricultural fields are becoming more affordable and accessible. However, there is need to validate calibration of sensors on these systems when using them for quantitative analyses such as evapotranspiration, and other modeling for agricultural applications. The results of laboratory testing of a MicaSense (Seattle, WA, USA) RedEdge™ 3 multispectral camera and MicaSense Downwelling Light Sensor (irradiance sensor) system using a calibrated integrating sphere were presented. Responses of the camera and irradiance sensor were linear over many light levels and became non-linear at light levels below expected real-world, field conditions. Simple linear …
High-Throughput Screening Of Clinically Approved Drugs That Prime Nonviral Gene Delivery To Human Mesenchymal Stem Cells,
2020
University of Nebraska-Lincoln
High-Throughput Screening Of Clinically Approved Drugs That Prime Nonviral Gene Delivery To Human Mesenchymal Stem Cells, Tyler Kozisek, Andrew Hamann, Albert Nguyen, Michael Miller, Sarah Plautz, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Background: Human mesenchymal stem cells (hMSCs) are intensely researched for applications in cell therapeutics due to their unique properties, however, intrinsic therapeutic properties of hMSCs could be enhanced by genetic modification. Viral transduction is efficient, but suffers from safety issues. Conversely, nonviral gene delivery, while safer compared to viral, suffers from inefficiency and cytotoxicity, especially in hMSCs. To address the shortcomings of nonviral gene delivery to hMSCs, our lab has previously demonstrated that pharmacological ‘priming’ of hMSCs with the glucocorticoid dexamethasone can significantly increase transfection in hMSCs by modulating transfection-induced cytotoxicity. This work seeks to establish a library of transfection …
Deep Learning Predicts Microbial Interactions From Self-Organized Spatiotemporal Patterns,
2020
Pacific Northwest National Laboratory
Deep Learning Predicts Microbial Interactions From Self-Organized Spatiotemporal Patterns, Joon-Yong Lee, Natalie C. Sadler, Robert G. Egbert, Christopher R. Anderton, Kirsten S. Hofmockel, Janet K. Jansson, Hyun-Seob Song
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patterns for predicting microbial interactions is currently lacking. Here we propose supervised deep learning as a new tool for network inference. An agent-based model was used to simulate the spatiotemporal evolution of two interacting organisms under diverse growth and interaction scenarios, the data of which was subsequently used to train deep neural networks. For small-size domains (100 mm x 100 mm) over which interaction coefficients are assumed to be invariant, we …
Swine Slurry Characteristics As Affected By Selected Additives And Disinfectants,
2020
University of Nebraska - Lincoln
Swine Slurry Characteristics As Affected By Selected Additives And Disinfectants, Jon Duerschner, Shannon L. Bartelt-Hunt, Kent Eskridge, John E. Gilley, Xu Li, Amy M. Schmidt, Daniel D. Snow
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Current swine industry practice is to house animals in confinement facilities which capture and store feces and urine as slurry in pits below the production area. Additives and disinfectants may be introduced into the manure pits. This study was conducted to measure the effects of additives and disinfectants on temporal changes in swine slurry characteristics. Slurry from a commercial swine production facility in southeast Nebraska, USA was collected and transferred to 57 L reactors located within a greenhouse. Selected additives and disinfectants were added to the reactors and physical properties, chemical characteristics, and antibiotic concentrations were monitored for 40 days. …
Influence Of Setback Distance On Antibiotics And Antibiotic Resistance Genes In Runoff And Soil Following The Land Application Of Swine Manure Slurry,
2020
University of Nebraska - Lincoln
Influence Of Setback Distance On Antibiotics And Antibiotic Resistance Genes In Runoff And Soil Following The Land Application Of Swine Manure Slurry, Maria C. Hall, Noelle Mware, John E. Gilley, Shannon L. Bartelt-Hunt, Daniel D. Snow, Amy M. Schmidt Schmidt, Kent M. Eskridge, Xu Li
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The environmental spread of antibiotics and antibiotic resistance genes (ARGs) from the land application of livestock wastes can be a potential public health threat. The objective of this study was to assess the effects of setback distance, which determines how close manure may be applied in relation to surface water, on the transport of antibiotics and ARGs in runoff and soil following land application of swine manure slurry. Rainfall simulation tests were conducted on field plots covered with wheat residues, each of which contained an upslope manure region where slurry was applied and an adjacent downslope setback region that did …
Geostatistical Features Of Streambed Vertical Hydraulic Conductivities In Frenchman Creek Watershed In
Western Nebraska,
2020
University of Nebraska - Lincoln
Geostatistical Features Of Streambed Vertical Hydraulic Conductivities In Frenchman Creek Watershed In Western Nebraska, Olufemi P. Abimbola, Aaron R. Mittelstet, Troy E. Gilmore
Department of Agricultural and Biological Systems Engineering: Faculty Publications
This study evaluated the spatial variability of streambed vertical hydraulic conductivity (Kv) in different stream morphologies in the Frenchman Creek Watershed, Western Nebraska, using different variogram models. Streambed Kv values were determined in situ using permeameter tests at 10 sites in Frenchman, Stinking Water and Spring Creeks during the dry season at baseflow conditions. Measurements were taken both in straight and meandering stream channels during a 5 day period at similar flow conditions. Each test site comprised of at least three transects and each transect comprised of at least three Kv measurements. Linear, Gaussian, exponential …
Evaluation Of Low-Cost Depth Cameras For Agricultural Applications,
2020
“Luiz de Queiroz” College of Agriculture & University of Nebraska-Lincoln & University of Illinois at Urbana Champaign
Evaluation Of Low-Cost Depth Cameras For Agricultural Applications, Isabella C.F.S. Condotta, T. M. Brown-Brandl, Santosh Pitla, John P. Stinn, Késia O. Silva-Miranda
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Low-cost depth-cameras have been used in many agricultural applications with reported advantages of low cost, reliability and speed of measurement. However, some problems were also reported and seem to be technology- related, so understanding the limitations of each type of depth camera technology could provide a basis for technology selection and the development of research involving its use. The cameras use one or a combination of two of the three available technologies: structured light, time-of-flight (ToF), and stereoscopy. The objectives were to evaluate these different technologies for depth sensing, including measuring accuracy and repeatability of distance data and measurements at …
Classification Of Tactile And Motor Velocity-Evoked Hemodynamic Response In Primary Somatosensory And Motor Cortices As Measured By Functional Near-Infrared Spectroscopy,
2020
University of Nebraska - Lincoln
Classification Of Tactile And Motor Velocity-Evoked Hemodynamic Response In Primary Somatosensory And Motor Cortices As Measured By Functional Near-Infrared Spectroscopy, Mohsen Hozan, Jacob Greenwood, Michaela Sullivan, Steven M. Barlow
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Functional near-infrared spectroscopy (fNIRS) is an emerging technique in studying cerebral hemodynamics; however, consensus on the analysis methods and the clinical applications has yet to be established. In this study, we demonstrate the results of a pilot fNIRS study of cerebral hemodynamic response (HR) evoked by pneumotactile and sensorimotor stimuli on the dominant hand. Our goal is to find the optimal stimulus parameters to maximally evoke HR in the primary somatosensory and motor cortices. We use a pulsatile pneumatic array of 14 tactile cells that were attached to the glabrous surface of the dominant hand, with a patterned stimulus that …
Glucocorticoid Priming Of Nonviral Gene Delivery To Hmscs Increases Transfection By Reducing Induced Stresses,
2020
University of Nebraska - Lincoln
Glucocorticoid Priming Of Nonviral Gene Delivery To Hmscs Increases Transfection By Reducing Induced Stresses, Andrew Hamann, Tyler Kozisek, Kelly Broad, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Human mesenchymal stem cells (hMSCs) are under study for cell and gene therapeutics because of their immunomodulatory and regenerative properties. Safe and efficient gene delivery could increase hMSC clinical potential by enabling expression of transgenes for control over factor production, behavior, and differentiation. Viral delivery is efficient but suffers from safety issues, while nonviral methods are safe but highly inefficient, especially in hMSCs. We previously demonstrated that priming cells with glucocorticoids (Gcs) before delivery of DNA complexes significantly increases hMSC transfection, which correlates with a rescue of transfection-induced metabolic and protein synthesis decline, and apoptosis. In this work, we show …
