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Articles 3691 - 3720 of 6302
Full-Text Articles in Engineering
The Tensile Root Strength Of Emergent Coastal Macrophytes, Lauris Olivia Hollis
The Tensile Root Strength Of Emergent Coastal Macrophytes, Lauris Olivia Hollis
LSU Doctoral Dissertations
Spartina patens is a dominant emergent macrophyte in fresh, intermediate, and brackish marshes along the Atlantic and Gulf coasts of United States where its biomechanical properties are a key component of wetland health and resilience. Its root biomass and tensile root strength are essential for anchorage, erosion protection, and are important determinants of soil strength. Nutrients and the herbicide atrazine are suspected of negatively impacting this wetland plant and others. The objectives of this study were to: 1) ascertain the tensile root strength of five emergent coastal macrophytes in coastal estuaries, and 2) test the effects of nutrient addition, atrazine …
People Like Me: Providing Relatable And Realistic Role Models For Underrepresented Minorities In Stem To Increase Their Motivation And Likelihood Of Success, Nir Aish, Philip Asare, Elif Eda Miskioglu
People Like Me: Providing Relatable And Realistic Role Models For Underrepresented Minorities In Stem To Increase Their Motivation And Likelihood Of Success, Nir Aish, Philip Asare, Elif Eda Miskioglu
Faculty Conference Papers and Presentations
Despite efforts to increase participation of racial and ethnic minorities (excluding Asians) in science, technology, engineering and mathematics (STEM) in the United States, this group remains underrepresented in these fields. Many efforts to increase minority participation focus on support structures to help this group “get through” the pipeline. However, less attention has been paid to increasing their intrinsic motivation to pursue careers in STEM. Our work is focused on increasing this intrinsic motivation, looking at role models as external influences. Underrepresented minorities are faced with a limited role model pool and in many cases with role models (who we call …
Asd Biomarker Detection On Fmri Images: Feature Learning With Data Corruptions By Analyzing Deep Neural Network Classifier Outcomes, Xiaoxiao Li 6984086
Asd Biomarker Detection On Fmri Images: Feature Learning With Data Corruptions By Analyzing Deep Neural Network Classifier Outcomes, Xiaoxiao Li 6984086
Yale Day of Data
Autism spectrum disorder (ASD) is a complex neurological and developmental disorder. It emerges early in life and is generally associated with lifelong disability. Finding the biomarkers associated with ASD is extremely helpful to understand the underlying roots of the disorder and find more targeted treatment. Previous studies suggested brain activations are abnormal in ASDs, hence functional magnetic resonance imaging (fMRI) has been used to identify ASD. In this work we addressed the problem of interpreting reliable biomarkers in classifying ASD vs. control; therefore, we proposed a 2-step pipeline: 1) classifying ASD and control fMRI images by deep neural network, and …
Combinations Of Plant Water-Stress And Neonicotinoids Can Lead To Secondary Outbreaks Of Banks Grass Mite (Oligonychus Pratensis Banks), Alice Ruckert, L. Niel Allen, Ricardo A. Ramirez
Combinations Of Plant Water-Stress And Neonicotinoids Can Lead To Secondary Outbreaks Of Banks Grass Mite (Oligonychus Pratensis Banks), Alice Ruckert, L. Niel Allen, Ricardo A. Ramirez
Civil and Environmental Engineering Faculty Publications
Spider mites, a cosmopolitan pest of agricultural and landscape plants, thrive under hot and dry conditions, which could become more frequent and extreme due to climate change. Recent work has shown that neonicotinoids, a widely used class of systemic insecticides that have come under scrutiny for non-target effects, can elevate spider mite populations. Both water-stress and neonicotinoids independently alter plant resistance against herbivores. Yet, the interaction between these two factors on spider mites is unclear, particularly for Banks grass mite (Oligonychus pratensis; BGM). We conducted a field study to examine the effects of water-stress (optimal irrigation = 100% …
Developing Pennycress ( Thlaspi Arvense ) As A Biodiesel Feedstock Crop And Plant Model System, Michaela Mcginn
Developing Pennycress ( Thlaspi Arvense ) As A Biodiesel Feedstock Crop And Plant Model System, Michaela Mcginn
Theses and Dissertations
Thlapsi arvense L. (pennycress) is currently being developed as a profitable oilseed-producing winter annual cover crop with extreme cold tolerance and a rapid life cycle that can be grown on fallow farmland throughout the U.S. Midwest Corn Belt, controlling soil erosion and nutrient runoff while serving as an additional source of income for the American farmer without displacing food crops. The research comprising this dissertation demonstrates that pennycress can serve as a user-friendly model system highly similar to Arabidopsis thaliana, and is well-suited for both laboratory and field experimentation, being readily employable in existing growth facilities. After 10 generations of …
The Santa Clara, 2018-02-22, Santa Clara University
The Santa Clara, 2018-02-22, Santa Clara University
The Santa Clara
No abstract provided.
The Santa Clara, 2018-02-15, Santa Clara University
The Santa Clara, 2018-02-15, Santa Clara University
The Santa Clara
No abstract provided.
The Santa Clara, 2018-02-08, Santa Clara University
The Santa Clara, 2018-02-08, Santa Clara University
The Santa Clara
No abstract provided.
No-Releasing Polymers And Uses Thereof, Megan C. Frost, Genevieve Romanowicz
No-Releasing Polymers And Uses Thereof, Megan C. Frost, Genevieve Romanowicz
Michigan Tech Patents
The present invention provides stable, photosensitive polymers that release NO response to intensity and wavelength of light, methods of making such polymers and methods using such polymers.
Stabilization Of Lead (Pb) And Zinc (Zn) In Contaminated Rice Paddy Soil Using Starfish: A Preliminary Study, Deok Hyun Moon, Inseong Hwang, Agamemnon Koutsospyros, Kyung Hoon Cheong, Yong Sik Ok, Won Hyun Ji, Jeong Hun Park
Stabilization Of Lead (Pb) And Zinc (Zn) In Contaminated Rice Paddy Soil Using Starfish: A Preliminary Study, Deok Hyun Moon, Inseong Hwang, Agamemnon Koutsospyros, Kyung Hoon Cheong, Yong Sik Ok, Won Hyun Ji, Jeong Hun Park
Civil Engineering Faculty Publications
Lead (Pb) and zinc (Zn) contaminated rice paddy soil was stabilized using natural (NSF) and calcined starfish (CSF). Contaminated soil was treated with NSF in the range of 0-10 wt.% and CSF in the range of 0-5 wt.% and cured for 28 days. Toxicity characteristic leaching procedure (TCLP) test was used to evaluate effectiveness of starfish treatment. Scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDX) analyses were conducted to investigate the mechanism responsible for effective immobilization of Pb and Zn. Experimental results suggest that NSF and CSF treatments effectively immobilize Pb and Zn in treated rice paddy soil. TCLP levels for …
The Santa Clara, 2018-02-01, Santa Clara University
The Santa Clara, 2018-02-01, Santa Clara University
The Santa Clara
No abstract provided.
A Real-Time Wireless Sweat Rate Measurement System For Physical Activity Monitoring, Andrew Brueck, Tashfin Iftekhar, Alicja B. Stannard, Kumar Yelamarthi, Tolga Kaya
A Real-Time Wireless Sweat Rate Measurement System For Physical Activity Monitoring, Andrew Brueck, Tashfin Iftekhar, Alicja B. Stannard, Kumar Yelamarthi, Tolga Kaya
Exercise Science Faculty Publications
There has been significant research on the physiology of sweat in the past decade, with one of the main interests being the development of a real-time hydration monitor that utilizes sweat. The contents of sweat have been known for decades; sweat provides significant information on the physiological condition of the human body. However, it is important to know the sweat rate as well, as sweat rate alters the concentration of the sweat constituents, and ultimately affects the accuracy of hydration detection. Towards this goal, a calorimetric based flow-rate detection system was built and tested to determine sweat rate in real …
The Santa Clara, 2018-01-25, Santa Clara University
The Santa Clara, 2018-01-25, Santa Clara University
The Santa Clara
No abstract provided.
Analytical Approaches To Improve Accuracy In Solving The Protein Topology Problem, Kamal Al Nasr, Feras Yousef, Ruba Jebril, Christopher Jones
Analytical Approaches To Improve Accuracy In Solving The Protein Topology Problem, Kamal Al Nasr, Feras Yousef, Ruba Jebril, Christopher Jones
Computer Science Faculty Research
To take advantage of recent advances in genomics and proteomics it is critical that the three-dimensional physical structure of biological macromolecules be determined. Cryo-Electron Microscopy (cryo-EM) is a promising and improving method for obtaining this data, however resolution is often not sufficient to directly determine the atomic scale structure. Despite this, information for secondary structure locations is detectable. De novo modeling is a computational approach to modeling these macromolecular structures based on cryo-EM derived data. During de novo modeling a mapping between detected secondary structures and the underlying amino acid sequence must be identified. DP-TOSS (Dynamic Programming for determining the …
The Santa Clara, 2018-01-18, Santa Clara University
The Santa Clara, 2018-01-18, Santa Clara University
The Santa Clara
No abstract provided.
Water Supply In Developing Countries, Jason K. Hawes, Ernest R. Blatchley Iii, Audrey Caprio, Andrew T. Kanach
Water Supply In Developing Countries, Jason K. Hawes, Ernest R. Blatchley Iii, Audrey Caprio, Andrew T. Kanach
Engagement & Service-Learning Summit
No abstract provided.
Correlation Of Structure, Function And Protein Dynamics In Gh7 Cellobiohydrolases From Trichoderma Atroviride, T. Reesei And T. Harzianum, Anna S. Borisova, Elena V. Eneyskaya, Suvamay Jana, Silke F. Badino, Jeppe Kari, Antonella Amore, Magnus Karlsson, Henrik Hansson, Mats Sandgren, Michael E. Himmel, Peter Westh, Christina M. Payne, Anna A. Kulminskaya, Jerry Ståhlberg
Correlation Of Structure, Function And Protein Dynamics In Gh7 Cellobiohydrolases From Trichoderma Atroviride, T. Reesei And T. Harzianum, Anna S. Borisova, Elena V. Eneyskaya, Suvamay Jana, Silke F. Badino, Jeppe Kari, Antonella Amore, Magnus Karlsson, Henrik Hansson, Mats Sandgren, Michael E. Himmel, Peter Westh, Christina M. Payne, Anna A. Kulminskaya, Jerry Ståhlberg
Chemical and Materials Engineering Faculty Publications
Background: The ascomycete fungus Trichoderma reesei is the predominant source of enzymes for industrial conversion of lignocellulose. Its glycoside hydrolase family 7 cellobiohydrolase (GH7 CBH) TreCel7A constitutes nearly half of the enzyme cocktail by weight and is the major workhorse in the cellulose hydrolysis process. The orthologs from Trichoderma atroviride (TatCel7A) and Trichoderma harzianum (ThaCel7A) show high sequence identity with TreCel7A, ~ 80%, and represent naturally evolved combinations of cellulose-binding tunnel-enclosing loop motifs, which have been suggested to influence intrinsic cellobiohydrolase properties, such as endo-initiation, processivity, and off-rate.
Results: The TatCel7A, ThaCel7A, …
The Santa Clara, 2018-01-11, Santa Clara University
The Santa Clara, 2018-01-11, Santa Clara University
The Santa Clara
No abstract provided.
2018 - Integrated Regional Water Management Plan Of The Greater Monterey County Region – Updated
2018 - Integrated Regional Water Management Plan Of The Greater Monterey County Region – Updated
Miscellaneous Monterey and San Luis Obispo County Documents and Reports
Integrated regional water management (IRWM) is an approach to water resource management in California that is being strongly promoted by the State as a way to increase regional self-sufficiency. IRWM offers an approach for managing the uncertainties that lie ahead, particularly in light of climate change. The IRWM planning process brings together water and natural resource managers, along with other community stakeholders, to collaboratively plan for and ensure the region’s continued water supply reliability, improved water quality, flood management, and healthy functioning ecosystems—allowing for creative new solutions and greater efficiencies. This IRWM Plan has been developed for the Greater Monterey …
Production Of Genetically Engineered Golden Syrian Hamsters By Pronuclear Injection Of The Crispr/Cas9 Complex, Rong Li, Jinxin Miao, Seokhwan Song, Il-Keun Kong, Yaohe Wang, Zhongde Wang
Production Of Genetically Engineered Golden Syrian Hamsters By Pronuclear Injection Of The Crispr/Cas9 Complex, Rong Li, Jinxin Miao, Seokhwan Song, Il-Keun Kong, Yaohe Wang, Zhongde Wang
Animal, Dairy, and Veterinary Science Faculty Publications
The pronuclear (PN) injection technique was first established in mice to introduce foreign genetic materials into the pronuclei of one-cell stage embryos. The introduced genetic material may integrate into the embryonic genome and generate transgenic animals with foreign genetic information following transfer of the injected embryos to foster mothers. Following the success in mice, PN injection has been applied successfully in many other animal species. Recently, PN injection has been successfully employed to introduce reagents with gene-modifying activities, such as the CRISPR/Cas9 system, to achieve site-specific genetic modifications in several laboratory and farm animal species. In addition to mastering the …
Superelastic And Ph-Responsive Degradable Dendrimer Cryogels Prepared By Cryo-Aza-Michael Addition Reaction, Juan Wang, Hu Yang
Superelastic And Ph-Responsive Degradable Dendrimer Cryogels Prepared By Cryo-Aza-Michael Addition Reaction, Juan Wang, Hu Yang
Chemical and Life Science Engineering Publications
Dendrimers exhibit super atomistic features by virtue of their well-defined discrete quantized nanoscale structures. Here, we show that hyperbranched amine-terminated polyamidoamine (PAMAM) dendrimer G4.0 reacts with linear polyethylene glycol (PEG) diacrylate (575 g/mol) via the aza-Michael addition reaction at a subzero temperature (−20 °C), namely cryo-aza-Michael addition, to form a macroporous superelastic network, i.e., dendrimer cryogel. Dendrimer cryogels exhibit biologically relevant Young’s modulus, high compression elasticity and super resilience at ambient temperature. Furthermore, the dendrimer cryogels exhibit excellent rebound performance and do not show significant stress relaxation under cyclic deformation over a wide temperature range (−80 to 100 °C). The …
Optimization Of Wavelength Selection For Multispectral Image Acquisition: A Case Study Of Atrial Ablation Lesions, Huda Asfour, S. Guan, Narine Muselimyan, Luther M. Swift, Murray Loew, Narine Sarvazyan
Optimization Of Wavelength Selection For Multispectral Image Acquisition: A Case Study Of Atrial Ablation Lesions, Huda Asfour, S. Guan, Narine Muselimyan, Luther M. Swift, Murray Loew, Narine Sarvazyan
Pharmacology and Physiology Faculty Publications
In vivo autofluorescence hyperspectral imaging of moving objects can be challenging due to motion artifacts and to the limited amount of acquired photons. To address both limitations, we selectively reduced the number of spectral bands while maintaining accurate target identification. Several downsampling approaches were applied to data obtained from the atrial tissue of adult pigs with sites of radiofrequency ablation lesions. Standard image qualifiers such as the mean square error, the peak signal-to-noise ratio, the structural similarity index map, and an accuracy index of lesion component images were used to quantify the effects of spectral binning, an increased spectral distance …
Approaches To Denoise The Diffuse Optical Signals For Tissue Blood Flow Measurement, Peng Zhang, Zhiguo Gui, Yu Shang
Approaches To Denoise The Diffuse Optical Signals For Tissue Blood Flow Measurement, Peng Zhang, Zhiguo Gui, Yu Shang
Faculty & Staff Scholarship
Various diseases are relevant to the abnormal blood flow in tissue. Diffuse correlation spectroscopy (DCS) is an emerging technology to extract the blood flow index (BFI) from light electric field temporal autocorrelation data. To account for tissue heterogeneity and irregular geometry, we developed an innovative DCS algorithm (i.e., the Nth order linear algorithm, or simply the NL algorithm) previously, in which the DCS signals are fully utilized through iterative linear regressions. Under the framework of NL algorithm, the BFI to be extracted is significantly influenced by the linear regression approach adopted. In this study, three approaches were proposed and evaluated …
Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko
Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko
Faculty & Staff Scholarship
The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental and theoretical studies, and it can be formulated as a nonlinear dynam- ical system. The underlying mechanism responsible for locomotor behavior can be expressed as the process of leaky integration with resetting states generating appropriate phases for changing body velocity. The low-dimensional input to the CPG model generates the bilateral pattern of swing and stance modulation for each limb and is consistent with the desired …
Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert
Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert
Faculty & Staff Scholarship
This study aimed to identify whether a research participant’s body-mass index (BMI) can be correctly identified from their facial image (photograph) in order to improve data capturing in dissemination and implementation research. Facial BMI (fBMI) was measured using an algorithm formulated to identify points on each enrolled participant’s face from a photograph. Once facial landmarks were detected, distances and ratios between them were computed to characterize facial fatness. A regression function was then used to represent the relationship between facial measures and BMI values to then calculate fBMI from each photo image. Simultaneously, BMI was physically measured (mBMI) by trained …
Quantum Confined Peptide Assemblies With Tunable Visible To Near-Infrared Spectral Range, Kai Tao, Zhen Fan, Leming Sun, Pandeeswar Makam, Zhen Tian, Mark Ruegsegger, Shira Shaham-Niv, Derek Hansford, Ruth Aizen, Zui Pan, Scott Galster, Jianjie Ma, Fan Yuan, Mingsu Si, Songnan Qu, Mingjun Zhang, Ehud Gazit, Junbai Li
Quantum Confined Peptide Assemblies With Tunable Visible To Near-Infrared Spectral Range, Kai Tao, Zhen Fan, Leming Sun, Pandeeswar Makam, Zhen Tian, Mark Ruegsegger, Shira Shaham-Niv, Derek Hansford, Ruth Aizen, Zui Pan, Scott Galster, Jianjie Ma, Fan Yuan, Mingsu Si, Songnan Qu, Mingjun Zhang, Ehud Gazit, Junbai Li
Faculty & Staff Scholarship
Quantum confined materials have been extensively studied for photoluminescent applica- tions. Due to intrinsic limitations of low biocompatibility and challenging modulation, the utilization of conventional inorganic quantum confined photoluminescent materials in bio- imaging and bio-machine interface faces critical restrictions. Here, we present aromatic cyclo-dipeptides that dimerize into quantum dots, which serve as building blocks to further self-assemble into quantum confined supramolecular structures with diverse morphologies and photoluminescence properties. Especially, the emission can be tuned from the visible region to the near-infrared region (420 nm to 820 nm) by modulating the self-assembly process. Moreover, no obvious cytotoxic effect is observed for …
Graphene Nanoplatelets-Sericin Surface-Modified Gum Alloy For Improved Biological Response, Valentina Mitran, Valentina Dinca, Raluca Ion, Vasile D. Cojocaru, Patricia Neacsu, Cerasela Zoica Dinu, Laurentiu Rusen, Simona Brajnicov, Anca Bonciu, Maria Dinescu, Doina Raducanu, Ioan Dan
Graphene Nanoplatelets-Sericin Surface-Modified Gum Alloy For Improved Biological Response, Valentina Mitran, Valentina Dinca, Raluca Ion, Vasile D. Cojocaru, Patricia Neacsu, Cerasela Zoica Dinu, Laurentiu Rusen, Simona Brajnicov, Anca Bonciu, Maria Dinescu, Doina Raducanu, Ioan Dan
Faculty & Staff Scholarship
In this study a “Gum Metal” titanium-based alloy, Ti-31.7Nb-6.21Zr-1.4Fe-0.16O, was synthesized by melting and characterized in order to evaluate its potential for biomedical applications. The results showed that the newly developed alloy presents a very high strength, high plasticity and a low Young's modulus relative to titanium alloys currently used in medicine. For further bone implant applications, the newly synthesized alloy was surface modified with graphene nanoplatelets (GNP), sericin (SS) and graphene nanoplatelets/sericine (GNP–SS) composite films via Matrix Assisted Pulsed Laser Evaporation (MAPLE) technique. The characterization of each specimen was monitored by scanning electron microscopy (SEM), atomic force microscopy (AFM), …
Development Of Low Frequency Electron Paramagnetic Resonance Methods And Instrumentation For Biological Applications, Laura A. Buchanan
Development Of Low Frequency Electron Paramagnetic Resonance Methods And Instrumentation For Biological Applications, Laura A. Buchanan
Electronic Theses and Dissertations
EPR is a powerful biophysical tool that can be used to measure tumor physiology. With the addition of magnetic field gradients, the spectral properties of paramagnetic species can be mapped. To facilitate EPR imaging, methods and instrumentation at frequencies between 250 MHz and 1 GHz were developed.
At low spin concentrations, the rapid scan background signal is often many times larger than the EPR signal of interest. To help remove the background contribution, a data acquisition procedure that takes advantage of a cross-loop resonator and bipolar power supplies was developed at 250 MHz. In this procedure, two scans are collected. …
Integrated Analysis Of The Value Of Wetland Services In Coastal Adaptation; Methodology And Case Study Of Hampton-Seabrook Estuary, New Hampshire, Paul Kirshen, Semra Aytur, David M. Burdick, Diane Foster, Tom Lippmann, Ellen Douglas, Sydney Nick, Chris Watson
Integrated Analysis Of The Value Of Wetland Services In Coastal Adaptation; Methodology And Case Study Of Hampton-Seabrook Estuary, New Hampshire, Paul Kirshen, Semra Aytur, David M. Burdick, Diane Foster, Tom Lippmann, Ellen Douglas, Sydney Nick, Chris Watson
Jackson Estuarine Laboratory
The present impacts from coastal storms and high tides grow significantly over time due to SLR even over the relatively short period to 2060. Hydrodynamic model simulations of storm surge with and without sea level rise scenarios show that although flooding and inundation increases with increasing subtidal forcing and higher sea level, dissipation of the tide and storm surge in the estuary channel somewhat limits the maximum inundation that might otherwise be expected in the back marsh areas. The estuary is dominated by high marsh, which lies high in the intertidal zone and by 2060 it will convert to mostly …
Tolle Lege Works Published In 2018, Mcquade Library
Tolle Lege Works Published In 2018, Mcquade Library
Bibliographies
Compiled Tolle Lege bibliography of works published by members of the Merrimack College Community in 2018. Works include journal articles, books, book chapters, conference presentations and posters, and more.