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Articles 211 - 240 of 12143
Full-Text Articles in Entire DC Network
Piezoelectric Energy Harvesting From Roadways: Challenges, Advances, And Future Directions, Heba Gaber, Mohamed Abdelraheem
Piezoelectric Energy Harvesting From Roadways: Challenges, Advances, And Future Directions, Heba Gaber, Mohamed Abdelraheem
Faculty Publications
As the global demand for renewable energy intensifies, piezoelectric energy harvesting from roadways has emerged as a promising avenue for sustainable power generation. This systematic literature review analyzes 61 peer-reviewed studies to assess the feasibility, performance, and potential of integrating piezoelectric systems into roadway infrastructure. While technology faces challenges, such as high installation costs, limited energy output, and a scarcity of thorough economic evaluations, findings suggest it holds considerable promise as a supplementary renewable energy source. The review analyzes the operational characteristics and efficiencies of various piezoelectric transducers, identifies key factors influencing system performance, and evaluates recent technological advances. It …
Streams Guidelines: Standards For Technical Reporting In Environmental And Host-Associated Microbiome Studies, Julia M. Kelliher, Chloe Mirzayi, Sarah R. Bordenstein, Aaron Oliver, Christina A. Kellogg, Eneida L. Hatcher, Maureen Berg, Petr Baldrian, Mashael Aljumaah, Cassandra Maria Luz Miller, Christopher Mungall, Vlastimil Novak, Alexis Palucki, Ethan Smith, Nazifa Tabassum, Gregory Bonito, J. Rodney Brister, Patrick S. Chain, Mingfei Chen, Samuel Degregori, Xuefeng Peng, Et. Al.
Streams Guidelines: Standards For Technical Reporting In Environmental And Host-Associated Microbiome Studies, Julia M. Kelliher, Chloe Mirzayi, Sarah R. Bordenstein, Aaron Oliver, Christina A. Kellogg, Eneida L. Hatcher, Maureen Berg, Petr Baldrian, Mashael Aljumaah, Cassandra Maria Luz Miller, Christopher Mungall, Vlastimil Novak, Alexis Palucki, Ethan Smith, Nazifa Tabassum, Gregory Bonito, J. Rodney Brister, Patrick S. Chain, Mingfei Chen, Samuel Degregori, Xuefeng Peng, Et. Al.
Faculty Publications
The interdisciplinary nature of microbiome research, coupled with the generation of complex multi-omics data, makes knowledge sharing challenging. The Strengthening the Organization and Reporting of Microbiome Studies (STORMS) guidelines provide a checklist for the reporting of study information, experimental design and analytical methods within a scientific manuscript on human microbiome research. Here, in this Consensus Statement, we present the standards for technical reporting in environmental and host-associated microbiome studies (STREAMS) guidelines. The guidelines expand on STORMS and include 67 items to support the reporting and review of environmental (for example, terrestrial, aquatic, atmospheric and engineered), synthetic and non-human host-associated microbiome …
Extreme Bandgap Recessed-Gate Metal Oxide Semiconductor Heterostructure Field Effect Transistors With Drain Current 0.28 A Mm−1 And Threshold Voltage −1.5 V, Abdullah Al Mamun Mazumder, Abdullah Mamun, Kenneth Stephenson, Kamal Hussain, Tariq Jamil, Grigory Simin, Asif Khan
Extreme Bandgap Recessed-Gate Metal Oxide Semiconductor Heterostructure Field Effect Transistors With Drain Current 0.28 A Mm−1 And Threshold Voltage −1.5 V, Abdullah Al Mamun Mazumder, Abdullah Mamun, Kenneth Stephenson, Kamal Hussain, Tariq Jamil, Grigory Simin, Asif Khan
Faculty Publications
Herein, the first demonstration of hybrid high-k oxide (ZrO2-Al2O3) incorporation into extreme bandgap (EBG) Al0.87Ga0.13N/Al0.64Ga0.36N metal-oxide-semiconductor heterostructure field-effect transistors (MOSHFETs) is presented, with both planar and recessed-gate designs on the same AlN/sapphire template with a state-of-the-art low contact resistance of 1.4 Ω mm (contact resistivity, ρc ≈ 5.7 × 10−6 Ω cm2). The recessed-gate MOSHFETs achieve a threshold voltage shift of ΔVTH = 5.8 V, highlighting improved channel control. Static output measurements reveal a peak drain current (IDS) of 340 mA mm−1 for the planar …
The Tamads2-Tatbl21 Module Enhances Wheat Resistance To Stripe Rust By Activating Tagkl-Mediated Immunity, Shijia Zhao, Hao Chu, Yanan Lu, Jiaqi Chen, Xu Wang, Guangxiang Tian, Mingjing Zhang, Pengyu Song, Yanhui Zhang, Guihua Bai, Gangming Zhan, Zhensheng Kang, Wenming Zheng, Zhengqing Fu, Na Liu
The Tamads2-Tatbl21 Module Enhances Wheat Resistance To Stripe Rust By Activating Tagkl-Mediated Immunity, Shijia Zhao, Hao Chu, Yanan Lu, Jiaqi Chen, Xu Wang, Guangxiang Tian, Mingjing Zhang, Pengyu Song, Yanhui Zhang, Guihua Bai, Gangming Zhan, Zhensheng Kang, Wenming Zheng, Zhengqing Fu, Na Liu
Faculty Publications
Wheat stripe rust (Puccinia striiformis f. sp. tritici, Pst) poses a catastrophic threat to global food security. While MADS-box transcription factors regulate development and abiotic stress, their roles in plant-pathogen immunity remain enigmatic. In this study, we identified TaMADS2, a Pst-induced MADS-box gene, as a positive regulator of wheat resistance. Functional analyses demonstrated that TaMADS2 overexpression significantly enhanced Pst resistance, whereas its knockdown rendered wheat more susceptible. Further investigation revealed that TaMADS2 interacts with trichome birefringence-like protein 21 (TaTBL21) to activate glycerol kinase-like (TaGKL) expression. Silencing TaGKL in wild-type or TaMADS2-overexpressing lines …
An Updated Perspective On Learning, Andrew S. Gibbons Iii
An Updated Perspective On Learning, Andrew S. Gibbons Iii
Faculty Publications
The subject of human learning is revisited. The emergence of new research findings in cognitive neuroscience and related disciplines using new imaging tools and techniques has revealed the existence of not one but two complementary learning systems. A newly-discovered prospection process, interacting with both memory systems, has been revealed as the pivotal mechanism of learning that leads to new experience and new memory records. The universal impact of emotion on this process also receives a new emphasis. This, coupled with the ever-present social environment, show learning to be the result of conversational activity. The existence of this more complete and …
Preliminary Investigation Of Cislunar Disposal Reachability Via Electric Propulsion For Selected L2 Lagrange Point Orbit Families, Ryan M. Sargent, Robert A. Bettinger, Carl R. Hartsfield
Preliminary Investigation Of Cislunar Disposal Reachability Via Electric Propulsion For Selected L2 Lagrange Point Orbit Families, Ryan M. Sargent, Robert A. Bettinger, Carl R. Hartsfield
Faculty Publications
This paper investigates the disposal of end-of-life spacecraft from selected orbit families in the Earth-Moon system, specifically the L2 Lyapunov and Halo families. Rather than focusing on impulsive burns with chemical propulsion systems, this paper examines disposal using continuous thrust generated by Hall thrusters, a form of electric propulsion. Leveraging the Circular Restricted Three Body Problem (CR3BP) as the dynamical framework, various levels of ΔV are evaluated in single-maximum burn and multiple-burn concepts of operation to evaluate the potential for spacecraft minimizing their transit of cislunar space and reaching the Earth’s gravitational sphere of influence in order to enter …
Microgrid Black Start Challenges: The Role Of Grid-Forming Inverters, Gab-Su Seo, Wenzong Wang, Behrooz Mirafzal
Microgrid Black Start Challenges: The Role Of Grid-Forming Inverters, Gab-Su Seo, Wenzong Wang, Behrooz Mirafzal
Faculty Publications
Grid-forming (GFM) inverters are becoming increasingly important for future power systems, particularly in establishing and restarting microgrids after blackouts. The use of GFM inverters enables microgrids to operate independently of utility power and provide key advantages over synchronous generators in black start scenarios, including rapid startup and stable voltage and frequency support for critical loads. However, inverter-driven black start introduces unique challenges and operational considerations. This article examines key challenges and solutions, emphasizing inverter design, control strategies, and microgrid system requirements. Drawing on analysis, simulation, and experimental results, this article highlights the central role of GFM inverters in ensuring reliable …
Mapping Intellectual Property Abuses In The Pharmaceutical Field, S. Sean Tu, Ana Santos Rutschman
Mapping Intellectual Property Abuses In The Pharmaceutical Field, S. Sean Tu, Ana Santos Rutschman
Faculty Publications
This Viewpoint details intellectual property abuses in the pharmaceutical industry involving patents, trademarks, copyrights, and trade secrets.
Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte
Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte
Faculty Publications
Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …
User Interface And Watchstation Improvements Required For Multi-Vehicle Usv Operations, Val Schmidt, Joshua Bergeron
User Interface And Watchstation Improvements Required For Multi-Vehicle Usv Operations, Val Schmidt, Joshua Bergeron
Faculty Publications
In October 2024, the University of New Hampshire and NOAA’s Uncrewed Systems Office embarked on a mapping mission in the Gulf of Maine, simultaneously operating two DriX Un-crewed Surface Vehicles. Goals of the project were focused on testing hypotheses related to concepts of operation, including the safety of operations, cognitive loading of operators, management of vehicle endurance, vehicle logistics, maintenance and field support, refueling and a host of others.
Nitrogen Oxides In The Remote Marine Environment: Implications For Oceanic Emissions And Photolysis Of Particulate Nitrate, Foroozan Arkian, Chelsea Thompson, Jeff Peischl, Ilann Bourgeois, Jack E. Dibb, Jose L. Jimenez, Pedro Campuzano-Jost, Jianghanyang Li, Steven Morey, Brian C. Mcdonald, Steven Wofsy, Siyuan Wang
Nitrogen Oxides In The Remote Marine Environment: Implications For Oceanic Emissions And Photolysis Of Particulate Nitrate, Foroozan Arkian, Chelsea Thompson, Jeff Peischl, Ilann Bourgeois, Jack E. Dibb, Jose L. Jimenez, Pedro Campuzano-Jost, Jianghanyang Li, Steven Morey, Brian C. Mcdonald, Steven Wofsy, Siyuan Wang
Faculty Publications
Nitric oxide (NO) in the remote marine atmosphere is underestimated by chemistry-climate models. We explore the potential oceanic emissions of NO and its impacts using a global chemistry-climate model with a newly developed oceanic NO emission inventory, considering the abiotic photochemical production of NO in the seawater. The results are evaluated using global observations from the NASA Atmospheric Tomography Mission (ATom). We propose that the photochemical production of NO from the photolysis of dissolved inorganic nitrite and nitrate in the surface seawater could lead to an oceanic NOx source of ∼3 Tg N per year, which could explain the missing …
On The Derivation Of The Ungerboeck Observation Model For Offset Qpsk, Michael Rice
On The Derivation Of The Ungerboeck Observation Model For Offset Qpsk, Michael Rice
Faculty Publications
This report derives maximum likelihood sequence estimator for Offset QPSK (OQPSK) operating over frequency selective channel. The maximum likelihood sequence estimator takes the form of the Viterbi Algorithm operating on a trellis defined intersymbol interference caused by the frequency selective channel. Because the distorted pulse shape does not satisfy the Nyquist no-ISI criterion, the matched filter output samples contain correleted noise. The derivation uses Ungerboeck’s method to create a recursive causal metric suitable for use with the Viterbi Algorithm.
A Fragility Framework For Surface Erosion With Application To Earthen Dam Breaching, Ege C. Kurter, Ayman Mokhtar Nemnem, M. Hanif Chaudhry, Jasim Imran
A Fragility Framework For Surface Erosion With Application To Earthen Dam Breaching, Ege C. Kurter, Ayman Mokhtar Nemnem, M. Hanif Chaudhry, Jasim Imran
Faculty Publications
Overtopping failures of earthen dams are a growing concern under intensifying extreme rainfall. This study introduces a probabilistic fragility framework that combines hydrologic modeling, hydraulic analysis, and soil erodibility to assess erosion risk under uncertain load and resistance. Fragility curves derived from Monte Carlo simulations quantify erosion initiation and severity as functions of rainfall depth and excess shear stress. Application to multiple dams affected during the 2015 South Carolina floods reproduces observed outcomes ranging from complete breach to no damage. The framework also captures cascading effects, where failure of an upstream structure increases downstream loading and erosion potential. Compared with …
Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska
Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska
Faculty Publications
With the rising prevalence of metabolic diseases, infections, and mental health disorders, there is a growing demand for noninvasive diagnostic tools that enable early detection and continuous health monitoring. In this context, exhaled breath biomarkers provide insight into physiological and pathological processes. Electrochemical breath sensors (EBSs) have emerged as a promising platform for rapid, real-time, and cost-effective disease tracking via the detection of volatile breath biomarkers, such as NH3, NO, and CO2. Recent advancements in electrode materials, biological recognition elements, and sensor architectures—spanning nanomaterials, enzymes, aptamers, and molecularly imprinted polymers—have enhanced the analytical performance of EBSs. …
Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska
Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska
Faculty Publications
With the rising prevalence of metabolic diseases, infections, and mental health disorders, there is a growing demand for noninvasive diagnostic tools that enable early detection and continuous health monitoring. In this context, exhaled breath biomarkers provide insight into physiological and pathological processes. Electrochemical breath sensors (EBSs) have emerged as a promising platform for rapid, real-time, and cost-effective disease tracking via the detection of volatile breath biomarkers, such as NH3, NO, and CO2. Recent advancements in electrode materials, biological recognition elements, and sensor architectures—spanning nanomaterials, enzymes, aptamers, and molecularly imprinted polymers—have enhanced the analytical performance of EBSs. …
A Fragility Framework For Surface Erosion With Application To Earthen Dam Breaching, Ege C. Kurter, Ayman Mokhtar Nemnem, M. Hanif Chaudhry, Jasim Imran
A Fragility Framework For Surface Erosion With Application To Earthen Dam Breaching, Ege C. Kurter, Ayman Mokhtar Nemnem, M. Hanif Chaudhry, Jasim Imran
Faculty Publications
Overtopping failures of earthen dams are a growing concern under intensifying extreme rainfall. This study introduces a probabilistic fragility framework that combines hydrologic modeling, hydraulic analysis, and soil erodibility to assess erosion risk under uncertain load and resistance. Fragility curves derived from Monte Carlo simulations quantify erosion initiation and severity as functions of rainfall depth and excess shear stress. Application to multiple dams affected during the 2015 South Carolina floods reproduces observed outcomes ranging from complete breach to no damage. The framework also captures cascading effects, where failure of an upstream structure increases downstream loading and erosion potential. Compared with …
Local Injection Of Particles For Retinoic Acid Drug Delivery Improves Muscle Structure And Modulates Inflammation In Mice Recovering From Cast Immobilization, Candice V. Cheung, Regina A. Searcy, Kidochukwu J. Atube, Nicholas A. Colonna, Kelsey E. Krusen, Kate J. Cappage, Khufu M. Holly, R. Paul Ward Pratz, Jessie H. Fournier, Vitali Sikirzhytski Ph.D.
Local Injection Of Particles For Retinoic Acid Drug Delivery Improves Muscle Structure And Modulates Inflammation In Mice Recovering From Cast Immobilization, Candice V. Cheung, Regina A. Searcy, Kidochukwu J. Atube, Nicholas A. Colonna, Kelsey E. Krusen, Kate J. Cappage, Khufu M. Holly, R. Paul Ward Pratz, Jessie H. Fournier, Vitali Sikirzhytski Ph.D.
Faculty Publications
Disuse muscle atrophy secondary to acute illness or injury prolongs recovery and increases risk of permanent disability as a result of reduced muscle strength and myofiber damage upon reambulation. However, there are no pharmacotherapies to support muscle growth and repair following prolonged immobility. We propose that all-trans retinoic acid (ATRA) may support recovery of atrophied muscle via modulation of satellite cells and macrophages. Clinical application of ATRA is hindered by solubility, stability, and the need for high systemic doses. Therefore, in the current study, we developed poly(lactide-co-glycolide) (PLG) particles for local injection and extended release of ATRA (ATRA-PLG) and investigated …
Expanding Functionalities Of Immune Receptors Through Simultaneous Transfer Of Sensor And Helper Nlrs, Dongjiao Wang, Qibin Wu, Daowen Wang, Youxiong Que, Zheng Qing Fu
Expanding Functionalities Of Immune Receptors Through Simultaneous Transfer Of Sensor And Helper Nlrs, Dongjiao Wang, Qibin Wu, Daowen Wang, Youxiong Que, Zheng Qing Fu
Faculty Publications
No abstract provided.
Does Your Church's Online Presence Need An Upgrade?, S. Joseph Kidder
Does Your Church's Online Presence Need An Upgrade?, S. Joseph Kidder
Faculty Publications
No abstract provided.
Under-Marketing Women’S Sport: The Gendered Labor Of Value Co-Creation In U.S. Women’S Soccer, Tarlan Chahardovali Ph.D., Joshua I. Newman Ph.D.
Under-Marketing Women’S Sport: The Gendered Labor Of Value Co-Creation In U.S. Women’S Soccer, Tarlan Chahardovali Ph.D., Joshua I. Newman Ph.D.
Faculty Publications
Research Question: This study explores how professional women soccer players in the U.S. perceived the role of institutional actors in value co-creation during a pivotal period in the sport’s development. It examines the marketing responsibilities players were expected to undertake and how this labor shaped their experiences and self-perceptions. Research Methods: Guided by value co-creation and value realization frameworks, this study draws on semi-structured interviews with 22 current and former professional women soccer players. Data were analyzed in two stages: first cycle coding, followed by pattern coding to consolidate labor themes into constructs reflecting athletes’ experiences of institutional support, promotional …
Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher
Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher
Faculty Publications
Pyrolysis of 24 samples of foliage from three U.S. regions with frequent wildland fires (Southeastern U.S., northern Utah and Southern California) was studied in a fuel-rich flat-flame burner system at 765 ◦C (for Southeastern U.S. samples) and 725 ◦C (for northern Utah and Southern California species), with a heating rate of approximately 180 ◦C/s. These conditions were selected to mimic the conditions of wildland fires. Individual plant samples were introduced to the high temperature zone in a flat-flame burner and pyrolysis products were collected. Tar was extracted and later analyzed by GC/MS. Light gases were collected and analyzed by GC/TCD. …
A Gas-Tight Bonding/Sealing Of Different Bulk Ceramics For Robust Oxygen Separation At Ultra-High Temperatures, Guoan Wang, Xingjian Xue
A Gas-Tight Bonding/Sealing Of Different Bulk Ceramics For Robust Oxygen Separation At Ultra-High Temperatures, Guoan Wang, Xingjian Xue
Faculty Publications
Oxygen transport membrane (OTM) is an economic technology for oxygen separation and high-purity oxygen production. To mitigate various issues induced by high temperatures, intermediate temperature OTM technology has been pursued in recent years. However, in certain circumstances, high operating temperatures are unavoidable, such as in situ oxygen production using OTMs for direct oxy-combustion. Nevertheless, the lack of reliable high temperature gas-tight sealing imposes great challenges on OTM technology for such applications. Herein, a novel sealing strategy is developed to obtain a gas-tight bonding/sealing of two different bulk ceramics using ceramic slurry in combination with phase inversion process. The sealing strategy …
Applying Machine Learning Methods To Laser Acceleration Of Protons: Synthetic Data For Exploring The High Repetition Rate Regime, John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Christopher M. Orban, Michael L. Dexter, Anil K. Patnaik
Applying Machine Learning Methods To Laser Acceleration Of Protons: Synthetic Data For Exploring The High Repetition Rate Regime, John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Christopher M. Orban, Michael L. Dexter, Anil K. Patnaik
Faculty Publications
Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom inherent to the laser‐plasma interactions. Machine learning can play an important role in this task, as our work examines. Building on our earlier work in Desai et al. 2024, we generate a large ∼1.5 million data point synthetic data set for proton acceleration using a physics‐informed analytic model that we …
Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet
Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet
Faculty Publications
Proficiency in machine learning (ML) and the associated computational math foundations have become critical skills for engineers. Required areas of proficiency include the ability to use available ML tools and the ability to develop new tools to solve engineering problems. Engineers also need to be proficient in using generative artificial intelligence (AI) tools in a variety of contexts, including as an aid to learning, research, writing, and code generation. Using these tools properly requires a solid understanding of the associated computational math foundation. Without this foundation, engineers will struggle with developing new tools and can easily misuse available ML/AI tools, …
Online Cyber-Physical Neural Network Model For Real-Time Hybrid Simulation, Faisal Nissar Malik, Liang Cao, James Ricles, Austin Downey
Online Cyber-Physical Neural Network Model For Real-Time Hybrid Simulation, Faisal Nissar Malik, Liang Cao, James Ricles, Austin Downey
Faculty Publications
Real-time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analyticaland an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure ismodeled physically in the laboratory. The two substructures are kinematically linked together at their interface degrees of freedom,and the coupled equations of motion are solved in real-time to obtain the response of the complete system. A key challenge inapplying RTHS to large or complex structures is the limited availability of physical devices, which makes it difficult to representall required experimental components simultaneously. The present study addresses this challenge by introducing …
A New Low-Rate Stable Hydrogel Cathode For Aqueous Zn-Ion Batteries, Roya Rajabi, Shichen Sun, Jamil A. Khan, Morgan Stefik, Kevin Huang
A New Low-Rate Stable Hydrogel Cathode For Aqueous Zn-Ion Batteries, Roya Rajabi, Shichen Sun, Jamil A. Khan, Morgan Stefik, Kevin Huang
Faculty Publications
Aqueous Zn-ion batteries (ZIBs) are attractive candidates for large-scale energy storage owing to the abundance, low cost, and intrinsic safety of Zn metal. However, their practical application is hindered by poor cycle stability, especially at low current densities, due to cathode dissolution and limited electrochemically active sites (EAS). Herein, a hydrogel-based cathode comprising ammonium vanadate, carbon black, and a Zn-ion-conducting carboxymethyl chitosan–acrylamide hydrogel matrix doped with Zn(ClO4)2 is reported. This design establishes a continuous Zn-ion-conducting network, thereby maximizing EAS density throughout the electrode volume. The ZIB with the hydrogel cathode exhibits outstanding cycling stability, with 77% capacity retention after 2000 …
Fuel Adulteration Detection Using Open-Ended Coaxial Line And Circular Waveguide Techniques, Abdulrahman Alofi, Ahmed Shamseldin, Sharif Iqbal M. Sheikh, Hussein Attia
Fuel Adulteration Detection Using Open-Ended Coaxial Line And Circular Waveguide Techniques, Abdulrahman Alofi, Ahmed Shamseldin, Sharif Iqbal M. Sheikh, Hussein Attia
Faculty Publications
Fuel adulteration, the practice of blending lower-quality substances like kerosene with gasoline, poses significant challenges for ensuring fuel quality and safety. This study investigates two electromagnetic-based methods for detecting such adulteration: the open-ended coaxial line method and the circular waveguide method. The results reveal that the open-ended coaxial line technique is particularly effective in detecting kerosene contamination, identifying levels as low as 10% by measuring changes in the dielectric constant of the gasoline-kerosene mixture. Operating in the frequency range of 0.25–1.25 GHz, this method captures subtle changes in permittivity. In contrast, the circular waveguide method evaluates contamination by monitoring shifts …
Joint Neutrino Oscillation Analysis From The T2k And Nova Experiments, S. Abubakar, M. A. Acero, B. Acharya, P. Adamson, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, D. Azevedo, A. Back, N. Balashov, P. Baldi, A. Bambah, E. F. Barenboim, A. Bashyal, A. Basti, K. Bromberg, N. Buchanan, Roberto Petti
Joint Neutrino Oscillation Analysis From The T2k And Nova Experiments, S. Abubakar, M. A. Acero, B. Acharya, P. Adamson, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, D. Azevedo, A. Back, N. Balashov, P. Baldi, A. Bambah, E. F. Barenboim, A. Bashyal, A. Basti, K. Bromberg, N. Buchanan, Roberto Petti
Faculty Publications
The landmark discovery that neutrinos have mass and can change type (or flavour) as they propagate—a process called neutrino oscillation1,2,3,4,5,6—has opened up a rich array of theoretical and experimental questions being actively pursued today. Neutrino oscillation remains the most powerful experimental tool for addressing many of these questions, including whether neutrinos violate charge-parity (CP) symmetry, which has possible connections to the unexplained preponderance of matter over antimatter in the Universe7,8,9,10,11. Oscillation measurements also probe the mass-squared differences between the different neutrino mass states (Δm2), whether there are two light states and a heavier …
Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli
Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli
Faculty Publications
The vertical sorting of streambed grains is a key control on river channel stability and sediment transport rates. In this study, we report on burial depths and mobility characteristics of coarse sediment in a small gravel-bed stream using an extensive data set of nearly 1,500 magnetically tagged tracer grains, deployed and annually surveyed between 2004 and 2018. We observe that sediment burial correlates with grain size and event magnitude, and we identify correlations between the burial depths of coarse grains and their mobility, residence time, and travel distance characteristics. A particularly large event in 2007 produced significant vertical sorting which …
Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv
Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv
Faculty Publications
Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …