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 …
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 …
Robotic Detection And Grasp Of Maize And Sorghum:
Stem Measurement With Contact,
2020
University of Nebraska-Lincoln
Robotic Detection And Grasp Of Maize And Sorghum: Stem Measurement With Contact, Abbas Atefi, Yufeng Ge, James C. Schnable
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Frequent measurements of the plant phenotypes make it possible to monitor plant status during the growing season. Stem diameter is an important proxy for overall plant biomass and health. However, the manual measurement of stem diameter in plants is time consuming, error prone, and laborious. The use of agricultural robots to automatically collect plant phenotypic data for trait measurements can overcome many of the drawbacks of manual phenotyping. The objective of this research was to develop a robotic system that can automatically detect and grasp the stem, and measure its diameter of maize and sorghum plants. The robotic system comprises …
Rapeseed Stand Count Estimation At Leaf Development Stages With Uav Imagery And Convolutional Neural Networks,
2020
Huazhong Agricultural University, Wuhan & Ministry of Agriculture, Wuhan
Rapeseed Stand Count Estimation At Leaf Development Stages With Uav Imagery And Convolutional Neural Networks, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie, Jian Zhang
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of tillering leaves is strongly related to its growth stages. However, no field study has been reported on estimating rapeseed stand count by the number of leaves recognized with convolutional neural networks (CNNs) in unmanned aerial vehicle (UAV) imagery. The objectives of this study were to provide a case for rapeseed stand counting with reference to the existing knowledge of the number of leaves …
Temporal Trend Analysis Of Meteorological Variables And Reference Evapotranspiration In The Inter-Mountain Region Ofwyoming,
2020
University of Florida
Temporal Trend Analysis Of Meteorological Variables And Reference Evapotranspiration In The Inter-Mountain Region Ofwyoming, Vivek Sharma, Christopher Nicholson, Antony Bergantino, Suat Irmak, Dannele Peck
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Long-term trends in reference evapotranspiration (ETref) and its controlling factors are critical pieces of information in understanding how agricultural water requirements and water resources respond to a variable and changing climate. In this study, ETref, along with climate variables that directly and indirectly impact it, such as air temperature (T), incoming solar radiation (Rs), wind speed (u), relative humidity (RH), and precipitation (P), are discussed. All variables are analyzed for four weather stations located in irrigated agricultural regions of inter-mountain Wyoming: Pinedale, Torrington, Powell, andWorland. Non-parametric MannKendall (MK) trend test and Theil–Sen’s slope estimator were used to determine the statistical …
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
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 …
Review—Single Walled Carbon Nanotubes As Optical Sensors For Biological Applications,
2020
University of Nebraska - Lincoln
Review—Single Walled Carbon Nanotubes As Optical Sensors For Biological Applications, Eric M. Hofferber, Joseph A. Stapleton, Nicole M. Iverson
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Since the discovery of the band gap fluorescence from single walled carbon nanotubes (SWNT) many advancements have been made towards the use of these unique fluorophores as optical biosensors in vitro, ex vivo in vivo. Attention has been given to these pure carbon structures due to their photostability, tunable properties, and bright near infrared emission that falls in the tissue transparency window. This review highlights some of the major advancements in the field of SWNT biosensors over the last two decades with a focus given to recent advances in biological applications.
Predicting Total Petroleum Hydrocarbons In Field Soils With
Vis–Nir Models Developed On Laboratory-Constructed
Samples,
2020
University of Nebraska - Lincoln
Predicting Total Petroleum Hydrocarbons In Field Soils With Vis–Nir Models Developed On Laboratory-Constructed Samples, Nuwan Wijewardane, Post Doc Research Associate, Yufeng Ge, Natasha Sihota, Thomas Hoelen, Toni Miao, David C. Weindorf
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Accurate quantification of petroleum hydrocarbons (PHCs) is required for opti- mizing remedial efforts at oil spill sites. While evaluating total petroleum hydro- carbons (TPH) in soils is often conducted using costly and time-consuming lab- oratory methods, visible and near-infrared reflectance spectroscopy (Vis–NIR) has been proven to be a rapid and cost-effective field-based method for soil TPH quantification. This study investigated whether Vis–NIR models calibrated from laboratory-constructed PHC soil samples could be used to accurately estimate TPH concentration of field samples. To evaluate this, a laboratory sample set was constructed by mixing crude oil with uncontaminated soil samples, and two field …
Within-Field Variability In Granular Matrix Sensor Data And Its Implications For Irrigation Scheduling,
2020
University of Nebraska-Lincoln
Within-Field Variability In Granular Matrix Sensor Data And Its Implications For Irrigation Scheduling, T. Lo, H.C. Pringle Iii, Daran Rudnick, Geng Bai, L. Jason Krutz, D.M. Gholson, Xin Qiao
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Even when located within the same field, multiple units of the same soil moisture sensor rarely report identical values. Such within-field variability in soil moisture sensor data is caused by natural and manmade spatial heterogeneity and by inconsistencies in sensor construction and installation. To better describe this variability, daily soil water tension values from 14-23 sets of granular matrix sensors during the middle part of four soybean site-years in the Mississippi Delta were analyzed. The soil water tension data were found to follow approximately normal distributions, to exhibit moderately high temporal rank stability, and to show strong positive correlation between …
Teacher Level Factors And Student Achievement In A Cyber-Enabled Engineering Education Professional Development Program,
2020
Purdue University
Teacher Level Factors And Student Achievement In A Cyber-Enabled Engineering Education Professional Development Program, Wei Zakharov, Johannes Strobel, Heidi A. Diefes-Dux
Department of Agricultural and Biological Systems Engineering: Faculty Publications
This study investigates the impact of an elementary engineering education teacher professional development program on student learning. The results show a significant increase in students’ knowledge in science from pre- to post-test as well as in engineering design from grade two to grade four. Further, the study uses multilevel modeling to quantitatively analyze the impact of differences among teachers on the engineering design achievement of their students. Different predictive relationships between demographic and social capital factors at the teacher level and student achievement are identified and implications for educational policymaking and practices are discussed.
The Fluxnet2015 Dataset And The Oneflux Processing Pipeline For Eddy Covariance Data,
2020
Lawrence Berkeley National Laboratory, Berkeley, CA
The Fluxnet2015 Dataset And The Oneflux Processing Pipeline For Eddy Covariance Data, Gilberto Pastorello, Timothy Arkebauer, Dave P. Billesbach, Anatoly Gitelson, Adam Liska, Andrew Suyker, Elizabeth Walter-Shea, More Than 200 Other
Adam Liska Papers
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as …
Using Statistical Learning Approaches To Understand Trends And Variability Of Tornadoes Across The Continental United States,
2020
CUNY City College
Using Statistical Learning Approaches To Understand Trends And Variability Of Tornadoes Across The Continental United States, Niloufar Nouri
Dissertations and Theses
The annual frequency of tornadoes during 1950-2018 across the major tornado-impacted states were examined and modeled using anthropogenic and large-scale climate covariates in a hierarchical Bayesian inference framework. Anthropogenic factors include increases in population density and better detection systems since the mid-1990s. Large-scale climate variables include El Niño Southern Oscillation (ENSO), Southern Oscillation Index (SOI), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), Arctic Oscillation (AO), and Atlantic Multi-decadal Oscillation (AMO). The model provides a robust way of estimating the response coefficients by considering pooling of information across groups of states that belong to Tornado Alley, Dixie Alley, and Other …
Effect Of Fly Ash In Southeast Asia On The Properties Of Concrete,
2020
Faculty of Engineering
Effect Of Fly Ash In Southeast Asia On The Properties Of Concrete, Thwe Thwe Win
Chulalongkorn University Theses and Dissertations (Chula ETD)
A wide use of fly ash (FA) as a supplementary cementitious material (SCM) can result in an enhancement in its durability performance in our civil engineering applications. Although FA is either agricultural or industrial by-product and is abundant for use in cement and concrete works for many decades now, the utilization of FA still has a practical challenge. The challenge is due to variability and their heterogeneity. In Southeast Asia, fly ash is used in concrete production replacing cement as a pozzolanic material. However, there are few standard guidelines for using fly ash across the region. This study evaluates the …
Control Of Energy Storage Utilisation For A Building Integrated Microgrid Using Multi-Objective Metaheuristic Optimisation Methods,
2020
Department of Process, Energy & Transport Engineering, Cork Institute of Technology, Cork, Ireland
Control Of Energy Storage Utilisation For A Building Integrated Microgrid Using Multi-Objective Metaheuristic Optimisation Methods, Quang An Phan
Theses
The aim of this thesis was to develop and analyse optimisation strategies for commercial buildings with integrated microgrids, in order to find optimal trade-offs between maximising profitability and facilitating renewable energy from the national power grid. The continued proliferation of microgrids, as well as the increase in electricity produced by renewable energy sources on the Irish national grid has necessitated the requirement for these strategies. Models to simulate the performance of a photovoltaic system, wind turbine and battery bank were developed and validated. The most suitable optimisation algorithm to generate an optimal charge/discharge rate schedule for a battery bank was …
Tracing Sources Of Natural Organic Matter, Trihalomethanes And Metals In Groundwater From A Karst Region,
2020
Trinity College Dublin, Ireland
Tracing Sources Of Natural Organic Matter, Trihalomethanes And Metals In Groundwater From A Karst Region, Connie O'Driscoll, Eoin Mcgillicuddy, Peter Croot, Pamela Bartley, John Mcmyler, Jerome Sheahan, Liam Morrison
Articles
Groundwater offers an important source for drinking water around the world; however, groundwater quality is under increasing pressure and is particularly vulnerable in karst areas. Total organic carbon (TOC) is significantly related to groundwater quality and when not removed by water treatment processes can give rise to the formation of disinfection by-products trihalomethanes (THMs) above the level of compliance. This study investigated the source of organic matter giving rise to the THM exceedances in a groundwater supply in a karst area. Results highlighted that source water for this groundwater supply was prone to surface water infiltration linked to rainfall events; …
Carbon-Based Interlayers In Perovskite Solar Cells,
2020
ITMO University
Carbon-Based Interlayers In Perovskite Solar Cells, Aleksandr P. Litvin, Xiaoyu Zhang, Kevin Berwick, Anatoly V. Fedorov, Weitao Zheng, Alexander V. Baranov
Articles
Perovskites are solution-processed, high-performance semiconductors of interest in low-cost photovoltaics. The interfaces between the perovskite photoactive layers and the top and bottom contacts are crucial for efficient charge transport and minimizing trapping. Control of the collection of charge carriers at these interfaces is decisive to device performance. Here, we review recent progress in the realization of efficient perovskite solar cells using cheap, easily processed, stable, carbon-based interlayers. Interface materials including graphene, carbon nanotubes, fullerenes, graphene quantum dots and carbon dots are introduced and their influence on device performance is discussed.
Wastewater Treatment Fatty Acids For Biodiesel Production,
2020
University of Nebraska-Lincoln
Wastewater Treatment Fatty Acids For Biodiesel Production, Zachary Christman
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Wastewater scum is the thick oily substance that floats on top of the primary and secondary tanks within a wastewater treatment plant. Scum has a 30% to 60% lipid content making it an excellent resource for the biodiesel industry. Also the use of scum would reduce the cost of current management practices such as landfill disposal or incineration. In this article there is an overview of lipid byproducts currently being produced at wastewater treatment plants today. This is followed by a presentation showing a full length process for turning wastewater scum into biodiesel raw material.
A Computational Analysis Of Marine Fenders Under Heavy Weather Mooring Conditions,
2020
University of North Florida
A Computational Analysis Of Marine Fenders Under Heavy Weather Mooring Conditions, Zachary Eskew
UNF Graduate Theses and Dissertations
Dynamic loading of marine fenders is a situation that is unique to the United States Navy (USN), due to the use of Heavy Weather Mooring (HWM) for naval vessels during extreme weather events, such as hurricanes. Traditional analysis has not been concerned with the fender reaction on vessel hulls. However, newer classes of Naval ships, such as the Littoral Combat Ships (LCS), have designs that emphasize speed and agility, resulting in them having thinner hulls more susceptible to damage from fenders. In traditional analysis, fenders are modeled as idealized springs, with static- load derived spring constants from manufacturer charts. This …
Lidar Assessment To Monitor Bridge Response Under Live And Dead Loads,
2019
University of Nebraska-Lincoln
Lidar Assessment To Monitor Bridge Response Under Live And Dead Loads, Daniel Watson
Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research
Understanding how a bridge structure responds to various loads in a time and resource-efficient approach is vital in characterizing bridge health. Bridge health monitoring is an evaluation of the structural condition and performance, which optimizes limited transportation budgets by prioritizing the bridges that are in the most need for retrofit or replacement. Identifying and remedying issues will mitigate long-term problems and ensure that the bridge remains open to service for all legal loads. In contrast, health monitoring and load rating will determine if a bridge can only carry traffic up to a certain weight or speed, requiring a bridge load …
