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Full-Text Articles in Entire DC Network
Numerical And Approximate Analytic Solutions Of Second- Order Nonlinear Boundary Value Problems, Chein-Shan Liu, Jian-Hung Shen, Yung-Wei Chen
Numerical And Approximate Analytic Solutions Of Second- Order Nonlinear Boundary Value Problems, Chein-Shan Liu, Jian-Hung Shen, Yung-Wei Chen
Journal of Marine Science and Technology–Taiwan
The shooting method consists of guessing unknown initial values, transforming a second-order nonlinear boundary value problem (BVP) to an initial value problem and integrating it to obtain the values at the right end to match the specified boundary condition, which acts as a target equation. In the shooting method, the key issue is accurately solving the target equation to obtain highly precise initial values. Due to the implicit and nonlinear property, we develop a generalized derivative-free Newton method (GDFNM) to solve the target equation, which offers very accurate initial values. Numerical examples are examined to show that the shooting method …
Optimization Of Circular Silencers Internally Hybridized With Multiple Reverse Chambers Using The Ga Method, Min-Chie Chiu, Ying-Chun Chang, Tian-Syung Lan, Ho-Sheng Chen
Optimization Of Circular Silencers Internally Hybridized With Multiple Reverse Chambers Using The Ga Method, Min-Chie Chiu, Ying-Chun Chang, Tian-Syung Lan, Ho-Sheng Chen
Journal of Marine Science and Technology–Taiwan
A noise abatement method using an eigen function in conjunction with an optimizer (Genetic Algorithm) under a space-constrain situation is proposed in this study concerning a high order wave propagation effect. An eigen function is used to describe an acoustical field and shorten the acoustical model in a four-pole transfer matrix form. The system’s four-pole matrix estimates the Transmission Loss (TL) for the silencers by multiplying individual four-pole matrices.
Additionally, a case study of an air compressor’s broadband noise elimination is introduced. Three types of circular reverse silencers (silencers A-C) internally hybridized with multiple straight chambers are adopted to efficiently …
Numerical Investigation Of The Uncertainty Of Typhoon Wave Parameters Retrieval Using Hf Radar, Toan Duy Dao, Hwa Chien
Numerical Investigation Of The Uncertainty Of Typhoon Wave Parameters Retrieval Using Hf Radar, Toan Duy Dao, Hwa Chien
Journal of Marine Science and Technology–Taiwan
The aim of this study was to identify the sources of uncertainties of typhoon wave field monitoring using HF radar and to quantitatively assess the bias of the wave parameters, such as significant wave height and mean period, retrieved under various conditions. The strategy was to apply a purely numerical simulation of the Doppler-range spectra and then compare the estimation results to the target. For the quantitative investigation, a numerical test-bed was established. The test-bed was used to simulate the Doppler spectra based on Barrick’s (1972) theory by using the input of the directional wave spectra. The typhoon wave spectra …
A Fused Data Based Real-Time Collision Warning System For Ferries In The Yangtze River, Xiaojia Liu, Ke Zhang, Han Xue, Yingtang Li
A Fused Data Based Real-Time Collision Warning System For Ferries In The Yangtze River, Xiaojia Liu, Ke Zhang, Han Xue, Yingtang Li
Journal of Marine Science and Technology–Taiwan
The risks for ferries in the Yangtze River are relatively high, as they frequently cross the main traffic flows, leading to more intersections with other upwards and downwards ships. Although some studies have developed many models to assess collision risks in the Yangtze River, collision warning studies on ferries are scant. Meanwhile, most of the current collision studies evaluate risk based on AIS data, which are incapable of providing real-time ship information as they are discrete-time series data. In this work, fused data combining radar and AIS data are applied in a real-time ship collision warning model to assess the …
Experimental Study Of The Effect Of A Solid Wing Conveyor On Marine Debris Collection, Erik Sugianto, Jeng-Horng Chen
Experimental Study Of The Effect Of A Solid Wing Conveyor On Marine Debris Collection, Erik Sugianto, Jeng-Horng Chen
Journal of Marine Science and Technology–Taiwan
Marine debris is a global problem that has not been resolved. This has encouraged the emergence of marine debris cleaning technologies, one of which is a conveyor ship. However, how effective conveyors are in collecting waste has not been studied. In this paper, experimental research on conveyors as marine debris collectors is investigated. The capability of catamarans with or without solid wing conveyors to collect marine debris is explored. Three kinds of marine debris collection models are used: no-wing conveyor, a 12.5-cm-long wing conveyor, and an 18.75-cm-long wing conveyor. Artificial marine debris (AMD) is spread on the water surface in …
Solving Nonlinear Boundary Value Problems With Nonlinear Integral Boundary Conditions By Local And Nonlocal Boundary Shape Functions Methods, Chein-Shan Liu, Yung-Wei Chen, Jian-Hung Shen
Solving Nonlinear Boundary Value Problems With Nonlinear Integral Boundary Conditions By Local And Nonlocal Boundary Shape Functions Methods, Chein-Shan Liu, Yung-Wei Chen, Jian-Hung Shen
Journal of Marine Science and Technology–Taiwan
The paper considers the second-order nonlinear boundary value problem (NBVP), which is equipped with nonlinear integral boundary conditions (BCs). Two novel iterative algorithms are developed to overcome the difficulty of NBVP with double nonlinearities involved. In the first iterative algorithm, two nonlocal shape functions incorporating the linear integral terms are derived, and a nonlocal boundary shape function (NBSF) is formulated to assist the solution. Let the solution be the NBSF so that the NBVP can be exactly transformed into an initial value problem. The new variable is a free function in the NBSF, and its initial values are given. For …
Plasmon-Enhanced Quantitative Lateral Flow Assay For Detection Of Neisseria Gonorrhoeae, Jiaqi Wang
Plasmon-Enhanced Quantitative Lateral Flow Assay For Detection Of Neisseria Gonorrhoeae, Jiaqi Wang
McKelvey School of Engineering Graduate Student Theses & Dissertations
(ng)感染是最常见的性传播感染(STI)之一2020年,CDC共677,769例淋病。。。常常因对抗对抗耐药性高度易受到受到困扰困扰。。。因此因此因此因此因此因此因此因此因此快速准确地地检测检测淋病淋病就尤为尤为重要重要淋病的,但其试验时间长费用高的特点为加强加强全球淋病淋病淋病淋病防治防治工作工作工作工作工作工作淋病淋病淋病淋病淋病淋病淋病淋病淋病淋病感染感染感染感染感染,研制淋病感染感染研制研制研制研制一种灵敏,,特异特异,,迫切需要需要发明发明是基石,它基石,廉价廉价敏感。这工作中中中中,我们我们项项,我们我们了了了了了一种所有所有所有所有所有所有所有所有。我们用等离子体光做为超亮光标记,以克服依赖传统金纳米颗粒做为比色标记的横向流动分析的有限度。
Estimation Of Cotton Canopy Parameters Based On Unmanned Aerial Vehicle (Uav) Oblique Photography, Jinyong Wu, Sheng Wen, Yubin Lan, Xuanchun Yin, Jiantao Zhang, Yufeng Ge
Estimation Of Cotton Canopy Parameters Based On Unmanned Aerial Vehicle (Uav) Oblique Photography, Jinyong Wu, Sheng Wen, Yubin Lan, Xuanchun Yin, Jiantao Zhang, Yufeng Ge
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Background: The technology of cotton defoliation is essential for mechanical cotton harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has the advantages of low cost, high efficiency and no mechanical damage to cotton and has been favored and widely used by cotton planters in China. However, there are also some problems of low cotton defoliation rates and high impurity rates caused by unclear spraying amounts of cotton defoliants. The chemical rate recommendation and application should be based upon crop canopy volume rather than on land area. Plant height and leaf area index (LAI) is directly connected to plant canopy structure. …
Development Of A 3d-Printed Microfluidic Droplet-On-Demand System For The Deterministic Encapsulation And Processing Of Biological Materials, Chandler A. Warr
Development Of A 3d-Printed Microfluidic Droplet-On-Demand System For The Deterministic Encapsulation And Processing Of Biological Materials, Chandler A. Warr
Theses and Dissertations
The growing threat of antimicrobial resistance is among the largest concerns in the world today. One method under development to combat this issue is the encapsulation of microbes in microfluidic droplets for single-cell testing. This method may be able to circumvent the need for a traditional positive cell culture which consumes the majority of the testing time using current diagnostic methods. This dissertation presents a method by which to deterministically encapsulate microbes using an artificial intelligence object detection algorithm and a Droplet-On-Demand microfluidic device. To accomplish this, the Droplet-On-Demand microfluidic device was first developed using a unique 3D-printing manufacturing method. …
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
Although Deep Learning Has Been Applied to the Recognition of Diseases and Drugs in Electronic Health Records and the Biomedical Literature, Relatively Little Study Has Been Devoted to the Utility of Deep Learning for the Recognition of Signs and Symptoms. the Recognition of Signs and Symptoms is Critical to the Success of Deep Phenotyping and Precision Medicine. We Have Developed a Named Entity Recognition Model that Uses Deep Learning to Identify Text Spans Containing Neurological Signs and Symptoms and Then Maps These Text Spans to the Clinical Concepts of a Neuro-Ontology. We Compared a Model based on Convolutional Neural Networks …
Small-Separation Speckle Contrast Optical Spectroscopy For Intraoperative Assessment Of Parathyroid Glands Viability During Thyroid Surgery, Connor Berger
Symposium of Student Scholars
The parathyroid glands (PTGs) are often damaged during thyroid surgeries due to a lack of methods identifying PTGs and assessing their viability. Damage to PTGs can cause hypocalcemia, a deficiency of calcium in the body. This complication can lead to detrimental consequences with economic burden. The surgeon’s current method of viability assessment is qualitative and subjective. Our technical solution is to employ an optical technique called speckle contrast optical spectroscopy (SCOS) that noninvasively quantifies the blood flow index (Db) of biological tissues at deep tissue levels (>1cm). The goal of this project is to verify SCOS at small source-detector-separation …
Developing A Test Method To Determine The Maximum Allowable Leakage Limit Of Microbial Ingress For Dialysis Films, Lexi Phillips
Developing A Test Method To Determine The Maximum Allowable Leakage Limit Of Microbial Ingress For Dialysis Films, Lexi Phillips
Fall Student Research Symposium 2022
The purpose of this project is to design and develop a testing-apparatus and test-method to measure the maximum allowable leakage limit (MALL) for films used by Fresenius Medical Care (FMC). The MALL is the greatest leak size that does not pose a risk to the product. This is the first step in developing container closure integrity testing for sterile containers. This test is designed using guidance from USP 1207, a document detailing integrity assurance of packages holding sterile medical products, and 21 CFR 211. This test is focusing on microbial ingress rather than physical or chemical leakage. The test-method design …
Tissue Engineered Representation Of Human Blood Vessel Using Hagfish Protein, Parker Goldsberry, Hayden Johns, Jaden Storrer, Jessop Oliver
Tissue Engineered Representation Of Human Blood Vessel Using Hagfish Protein, Parker Goldsberry, Hayden Johns, Jaden Storrer, Jessop Oliver
Fall Student Research Symposium 2022
Scaffolds used in in vitro cellular growth are a common method of more accurately representing the structure and extracellular matrix of the tissue being grown. Tissue engineers are constantly testing novel biomaterials as scaffolds to determine their representativity of native tissue. One of these such biomaterials is hagfish protein, which when bound together or cross-linked has properties similar to many tissues found in the body. Specifically, there are some properties that could make it a viable option for human blood vessels. Being a simpler organ than most, comparatively, it is also a prime selection for in vitro studies attempting to …
Comparative Study Of Differentiating Human Pluripotent Stem Cells Into Vascular Smooth Muscle Cells In Hydrogel-Based Culture Methods, Qing Liu, Zhen Liu, Hongyu Gu, Yuxia Ge, Xuesheng Wu, Fuxing Zuo, Qian Du, Yuguo Lei, Zhanqi Wang, Haishuang Lin
Comparative Study Of Differentiating Human Pluripotent Stem Cells Into Vascular Smooth Muscle Cells In Hydrogel-Based Culture Methods, Qing Liu, Zhen Liu, Hongyu Gu, Yuxia Ge, Xuesheng Wu, Fuxing Zuo, Qian Du, Yuguo Lei, Zhanqi Wang, Haishuang Lin
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Vascular smooth muscle cells (VSMCs), which provides structural integrity and regulates the diameter of vasculature, are of great potential for modeling vascular-associated diseases and tissue engineering. Here, we presented a detailed comparison of differentiating human pluripotent stem cells (hPSCs) into VSMCs (hPSCs-VSMCs) in four different culture methods, including 2-dimensional (2D) culture, 3-dimensional (3D) PNIPAAm-PEG hydrogel culture, 3-dimensional (3D) alginate hydrogel culture, and transferring 3- dimensional alginate hydrogel culture to 2-dimensional (2D) culture. Both hydrogel-based culture methods could mimic in vivo microenvironment to protect cells from shear force, and avoid cells agglomeration, resulting in the extremely high culture efficiency (e.g., high …
Clove Essential Oil And Nanoclays-Based Active Food Packaging, Kalpani Y. Perera, Shubham Sharma, Amit K. Jaiswal, Swarna Jaiswal
Clove Essential Oil And Nanoclays-Based Active Food Packaging, Kalpani Y. Perera, Shubham Sharma, Amit K. Jaiswal, Swarna Jaiswal
Articles
Active food packaging materials enhance the shelf-life of food products while reducing food waste. The current study aims to develop a biodegradable active food packaging material. The food packaging material was developed with the incorporation of clove essential oil, sodium alginate, gelatin, and nanoclay films were prepared. The influences of nanoclay and clove on the surface, optical, mechanical, chemical, barrier, and pH-indicating properties were studied. The lightness and yellowness increased by 1.06 folds and 3.34 folds when compared to clove (control), respectively. The UV barrier property 0.08±0.01nm in all films, while 8.37 folds reduction in transparency has been observed as …
Nanoclays And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Swarna Jaiswal, Amit K. Jaiswal, Shubham Sharma
Nanoclays And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Swarna Jaiswal, Amit K. Jaiswal, Shubham Sharma
Articles
Bionanocomposite packaging eco-friendly alternatives with enhanced characteristics. This study aimed to develop a bionanocomposite intelligent packaging. Sodium alginate, gelatin, Curcumin (Cur), glycerol, and Nanoclay (NC) films were prepared. The influences of nanoclay and curcumin on the surface, optical, mechanical, chemical, barrier, and pH-indicating properties were studied. The results showed that the lightness of films was reduced by 1.28 folds compared to NC (control) film, while the yellowness of films increased by 5.82 folds. Film transparency was reduced by 9.3 folds and a 3.46 folds increase in UV barrier properties was observed compared to NC (control) film. The highest tensile strength …
Perceived Factors Contributing To The Subjective Wellbeing Of Undergraduate Engineering Students: An Exploratory Study, Muhammad Asghar, Angela Minichiello, Assad Iqbal
Perceived Factors Contributing To The Subjective Wellbeing Of Undergraduate Engineering Students: An Exploratory Study, Muhammad Asghar, Angela Minichiello, Assad Iqbal
Engineering Education Student Research
Engineering education is perceived to be a tough field of study with detrimental effects on the mental health of undergraduate engineering students. High levels of anxiety and depression are reported among this population. Overall, mental health research is often biased toward looking at mental health from a deficit perspective and investigating mental health as a negative phenomenon. This trend also persists in engineering education research. The purpose of this exploratory study, therefore, is to investigate the condition of subjective wellbeing (SWB) of undergraduate engineering students to understand the factors that they perceive as positively contributing to their overall wellbeing in …
Six-Dimensional Single-Molecule Imaging With Isotropic Resolution Using A Multi-View Reflector Microscope, Oumeng Zhang, Zijian Guo, Yuanyuan He, Tingting Wu, Michael D. Vahey, Matthew D. Lew
Six-Dimensional Single-Molecule Imaging With Isotropic Resolution Using A Multi-View Reflector Microscope, Oumeng Zhang, Zijian Guo, Yuanyuan He, Tingting Wu, Michael D. Vahey, Matthew D. Lew
Electrical & Systems Engineering Publications and Presentations
Imaging of both the positions and orientations of single fluorophores, termed single-molecule orientation-localization microscopy, is a powerful tool for the study of biochemical processes. However, the limited photon budget associated with single-molecule fluorescence makes high-dimensional imaging with isotropic, nanoscale spatial resolution a formidable challenge. Here we realize a radially and azimuthally polarized multi-view reflector (raMVR) microscope for the imaging of the three-dimensional (3D) positions and 3D orientations of single molecules, with precisions of 10.9 nm and 2.0° over a 1.5-μm depth range. The raMVR microscope achieves 6D super-resolution imaging of Nile red molecules transiently bound to lipid-coated spheres, accurately resolving …
Cold Plasma Technology In Food Packaging, Kalpani Y. Perera, Jack Prendeville, Amit K. Jaiswal, Swarna Jaiswal
Cold Plasma Technology In Food Packaging, Kalpani Y. Perera, Jack Prendeville, Amit K. Jaiswal, Swarna Jaiswal
Articles
Cold plasma (CP) is an effective strategy to alter the limitations of biopolymer materials for food packaging applications. Biopolymers such as polysaccharides and proteins are known to be sustainable materials with excellent film-forming properties. Bio-based films can be used as an alternative to traditional plastic packaging. There are limitations to biopolymer packaging materials such as hydrophobicity, poor barrier, and thermos-mechanical properties. For this reason, biopolymers must be modified to create a packaging material with the desired applicability. CP is an effective method to enhance the functionality and interfacial features of biopolymers. It etches the film surface allowing for better adhesion …
Prophylaxis And Remediation For Future Pandemic Pathogens-(Lessons From A Post-Covid World), Mark E. Obrenovich, Moncef B. Tayahi, Caryn L. Heidt, Steven N. Emancipator
Prophylaxis And Remediation For Future Pandemic Pathogens-(Lessons From A Post-Covid World), Mark E. Obrenovich, Moncef B. Tayahi, Caryn L. Heidt, Steven N. Emancipator
Michigan Tech Publications, Part 1
Since influenza and coronaviruses are currently deadly and emerging threats worldwide, better treatment, remediation and prevention options are needed. In that regard, a basic understanding of severe acute respiratory syndrome (SARS)-CoV-2/COVID-19 () and other viral pathogen mechanisms of transmission are expected. Unfortunately, unprecedented, and growing distrust of vaccines and even masks or personal protective equipment (PPE) in the United States and elsewhere presents itself as an added challenge. We postulate that development of improved and highly effective prophylactic measures, together with new life-saving therapies that do inhibit or otherwise treat infection of SARS-CoV-2, influenza and other viral pathogens, could be …
Biomechanical And Sensory Feedback Regularize The Behavior Of Different Locomotor Central Pattern Generators, Kaiyu Deng, Alexander J. Hunt, Nicholas Szczecinski, Matthew Tresch, Hillel J. Chiel, Charles Heckman, Roger Quinn
Biomechanical And Sensory Feedback Regularize The Behavior Of Different Locomotor Central Pattern Generators, Kaiyu Deng, Alexander J. Hunt, Nicholas Szczecinski, Matthew Tresch, Hillel J. Chiel, Charles Heckman, Roger Quinn
Mechanical and Materials Engineering Faculty Publications and Presentations
This work presents an in-depth numerical investigation into a hypothesized two-layer central pattern generator (CPG) that controls mammalian walking and how different parameter choices might affect the stepping of a simulated neuromechanical model. Particular attention is paid to the functional role of features that have not received a great deal of attention in previous work: the weak cross-excitatory connectivity within the rhythm generator and the synapse strength between the two layers. Sensitivity evaluations of deafferented CPG models and the combined neuromechanical model are performed. Locomotion frequency is increased in two different ways for both models to investigate whether the model’s …
The Spray-On Bio-Bandage, Kristine Peterson, Amanda Moravek, Abby Edward
The Spray-On Bio-Bandage, Kristine Peterson, Amanda Moravek, Abby Edward
Fall Student Research Symposium 2022
Fibrin is a natural polymer already used in extreme clinical settings as an adhesive and for shallow wounds when activated by the enzyme thrombin. However, current formations contain irritants, are slow drying, and are not easily washed off. This study used a spray-on bandage composed of thrombin and fibrinogen on a monolayer of 3T3 mouse fibroblast cells to test the enhancement of the body's natural healing without the risks of current formulations. The viability and growth of scratched cells were analyzed using live/dead stain assays 0, 1, and 3 days post-treatment. The results of this study showed cell growth, fibrinogen …
2022 - The Third Annual Fall Symposium Of Student Scholars
2022 - The Third Annual Fall Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the Fall 2022 Symposium of Student Scholars, held on November 17, 2022. Includes abstracts from the presentations and posters.
An Empirical Study On The Classification Of Python Language Features Using Eye-Tracking, Jigyasa Chauhan
An Empirical Study On The Classification Of Python Language Features Using Eye-Tracking, Jigyasa Chauhan
School of Computing: Dissertations, Theses, and Student Research
Python, currently one of the most popular programming languages, is an object-
oriented language that also provides language feature support for other programming
paradigms, such as functional and procedural. It is not currently understood how
support for multiple paradigms affects the ability of developers to comprehend that
code. Understanding the predominant paradigm in code, and how developers classify
the predominant paradigm, can benefit future research in program comprehension as
the paradigm may factor into how people comprehend that code. Other researchers
may want to look at how the paradigms in the code interact with various code smells.
To investigate how …
Programming The Properties Of Branched Polymers Through Precision Architectures, Michael R. Dearman
Programming The Properties Of Branched Polymers Through Precision Architectures, Michael R. Dearman
LSU Master's Theses
The glass transition of branched polymers is determined by multiple structural parameters that dictate their inter- and intramolecular interactions, and ultimately, their molecular packing in the amorphous phase. Here we examined the impact of side chain length, backbone length, molecular weight composition, and topology on the glass transition behavior of bottlebrush polymers. Through examining precision bottlebrush polymer libraries (PBP, ĐSC = 1.0), we find the infinite molecular weight Tg is reached at a specific brush length after which the effect of the side-chain length dominates. Being a factor more dominant than the backbone, side-chain length affects the Tg of bottlebrush …
Semantic Segmentation Based Deep Learning Approaches For Weed Detection, Puranjit Singh
Semantic Segmentation Based Deep Learning Approaches For Weed Detection, Puranjit Singh
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Global increase in herbicide use to control weeds has led to issues such as evolution of herbicide-resistant weeds, off-target herbicide movement, etc. Precision agriculture advocates Site Specific Weed Management (SSWM) application to achieve precise and right amount of herbicide spray and reduce off-target herbicide movement. Recent advancements in Deep Learning (DL) have opened possibilities for adaptive and accurate weed recognitions for field based SSWM applications with traditional and emerging spraying equipment; however, challenges exist in identifying the DL model structure and train the model appropriately for accurate and rapid model applications over varying crop/weed growth stages and environment. In our …
Recent Technical Breakthroughs Enable Smart Manufacturing: A Review, Manish Kumar, Shanu Pandey, Kanchan Upadhyay, Pritibala Taunk, Raunak Kumar Tamrakar
Recent Technical Breakthroughs Enable Smart Manufacturing: A Review, Manish Kumar, Shanu Pandey, Kanchan Upadhyay, Pritibala Taunk, Raunak Kumar Tamrakar
Al-Bahir
In human culture, machine learning has long been used to address complicated issues. Machine learning is successful because of the help provided by computational power and sensing technology. Data-driven strategies and the development of artificial intelligence will soon have a significant impact on the industry. Common examples include search engines, picture recognition, biometrics, speech and handwriting recognition, natural language processing, as well as medical diagnostics and credit scores. It is obvious that when artificial intelligence permeates our globe and, more precisely, our lives, numerous challenges will become public. According to predictions, Industry 4.0 or Smart Manufacturing will be the next …
Earlier Snowmelt May Lead To Late Season Declines In Plant Productivity And Carbon Sequestration In Arctic Tundra Ecosystems, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Barbara Bailey, Beniamino Gioli, George Burba, Jordan P. Goodrich, Anna K. Liljedahl, Eugénie S. Euskirchen, Jennifer D. Watts, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Marcin Jackowicz-Korczynski, Albertus J. Dolman, Luca Belelli Marchesini, Roisin Commane, Steven C. Wofsy, Charles E. Miller, David A. Lipson, Josh Hashemi, Kyle A. Arndt, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Xia Song
Earlier Snowmelt May Lead To Late Season Declines In Plant Productivity And Carbon Sequestration In Arctic Tundra Ecosystems, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Barbara Bailey, Beniamino Gioli, George Burba, Jordan P. Goodrich, Anna K. Liljedahl, Eugénie S. Euskirchen, Jennifer D. Watts, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Marcin Jackowicz-Korczynski, Albertus J. Dolman, Luca Belelli Marchesini, Roisin Commane, Steven C. Wofsy, Charles E. Miller, David A. Lipson, Josh Hashemi, Kyle A. Arndt, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Xia Song
Daugherty Water for Food Global Institute: Faculty Publications
Arctic warming is affecting snow cover and soil hydrology, with consequences for carbon sequestration in tundra ecosystems. The scarcity of observations in the Arctic has limited our understanding of the impact of covarying environmental drivers on the carbon balance of tundra ecosystems. In this study, we address some of these uncertainties through a novel record of 119 site-years of summer data from eddy covariance towers representing dominant tundra vegetation types located on continuous permafrost in the Arctic. Here we found that earlier snowmelt was associated with more tundra net CO2 sequestration and higher gross primary productivity (GPP) only in June …
Predictions Of Indentation Stiffness Of Musculoskeletal Regions Using Ultrasound, Sean Doherty
Predictions Of Indentation Stiffness Of Musculoskeletal Regions Using Ultrasound, Sean Doherty
ETD Archive
Tissue indentation response is an important metric for understanding how different musculoskeletal regions respond to loading and is a function of the tissue’s form. Modem imaging techniques provide information about the internal structures of human tissue. Ultrasound remains one of the most common imaging techniques performed, given its portability and low costs. Prior work and data collection on 100 patients involved the collection of ultrasound images at eight different locations across the musculoskeletal extremities. Given the tissue structure information that the medical imaging provided, it was hypothesized that the mechanical properties of the tissue could be predicted from this data. …
Novel Techniques For Quantifying Secondhand Smoke Diffusion Into Children's Bedroom, Sunil Ramchandani
Novel Techniques For Quantifying Secondhand Smoke Diffusion Into Children's Bedroom, Sunil Ramchandani
Computational and Data Sciences (PhD) Dissertations
The impact of secondhand smoking to health of general population, and specifically children, is a well-known phenomenon that researchers have studied for years. In this dissertation, I extend work done within a secondhand smoke intervention to understand and quantity the impact of intervention on flow of smoke air particle concentration from the main room where smoking generates air particle contamination to a room where a child living in the home sleeps. The paper also explores potential modelling techniques to proactively identify and the impact of the smoke air particles with the intent to discourage adults from smoking in the home …