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Articles 901 - 930 of 12157
Full-Text Articles in Entire DC Network
Mapping And Omics Integration: Towards Precise Rice Disease Resistance Breeding, John Christian Ontoy, Jong Hyun Ham
Mapping And Omics Integration: Towards Precise Rice Disease Resistance Breeding, John Christian Ontoy, Jong Hyun Ham
Faculty Publications
Rice (Oryza sativa), as a staple crop feeding a significant portion of the global population, particularly in Asian countries, faces constant threats from various diseases jeopardizing global food security. A precise understanding of disease resistance mechanisms is crucial for developing resilient rice varieties. Traditional genetic mapping methods, such as QTL mapping, provide valuable insights into the genetic basis of diseases. However, the complex nature of rice diseases demands a holistic approach to gain an accurate knowledge of it. Omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, enable a comprehensive analysis of biological molecules, uncovering intricate molecular interactions within the rice …
Exploring Pathways Toward Open-Hardware Ecosystems To Safeguard Genetic Resources For Biomedical Research Communities Using Aquatic Model Species, Yue Liu, Jack C. Koch, Lucía Arregui, Allyssa Oune, Sarah Bodenstein, Maria T. Gutierrez-Wing, Terrence R. Tiersch
Exploring Pathways Toward Open-Hardware Ecosystems To Safeguard Genetic Resources For Biomedical Research Communities Using Aquatic Model Species, Yue Liu, Jack C. Koch, Lucía Arregui, Allyssa Oune, Sarah Bodenstein, Maria T. Gutierrez-Wing, Terrence R. Tiersch
Faculty Publications
Development of reliable germplasm repositories is critical for preservation of genetic resources of aquatic species, which are widely utilized to support biomedical innovation by providing a foundational source for naturally occurring variation and development of new variants through genetic manipulations. A significant barrier in repository development is the lack of cryopreservation capability and reproducibility across the research community, posing great risks of losing advances developed from billions of dollars of research investment. The emergence of open scientific hardware has fueled a new movement across biomedical research communities. With the increasing accessibility of consumer-level fabrication technologies, such as three-dimensional printers, open …
Energy Compensation For Crop Growth Under Plastic Mulching: Theories, Models, And Limitations, Dianyuan Ding, Ting Li, Lihong Wu, Xi Zhang, Ying Zhao, Hao Feng, Chao Zhang, Ole Wendroth
Energy Compensation For Crop Growth Under Plastic Mulching: Theories, Models, And Limitations, Dianyuan Ding, Ting Li, Lihong Wu, Xi Zhang, Ying Zhao, Hao Feng, Chao Zhang, Ole Wendroth
Faculty Publications
Plastic film mulching (PM) is a useful agronomic means to adapt to the environmental conditions of dryland agriculture and improve crop production. To improve the theoretical framework of PM technology, this study focuses on the interaction between the soil temperature change caused by PM and crop growth. The definition, action mechanism, and simulation of the compensatory effect of PM on growing degree days are introduced to reveal the effect of soil temperature under PM on crop development and growth. Our summary shows that the strength of the warming effect changes with the growth and development of crops, strengthening during the …
The Cospar Planetary Protection Policy For Missions To Icy Worlds: A Review Of History, Current Scientific Knowledge, And Future Directions, P. T. Doran, A. Hayes, O. Grasset, A. Coustenis, O. Prieto-Ballesteros, N. Hedman, O. Al Shehhi, E. Ammannito, M. Fujimoto, F. Groen, J. E. Moores, C. Mustin, K. Olsson-Francis, J. Peng, K. Praveenkumar, P. Rettberg, S. Sinibaldi, V. Ilyin, F. Raulin, Y. Suzuki, K. Xu, L. G. Whyte, M. Zaitsev, J. Buffo, G. Kminek, B. Schmidt
The Cospar Planetary Protection Policy For Missions To Icy Worlds: A Review Of History, Current Scientific Knowledge, And Future Directions, P. T. Doran, A. Hayes, O. Grasset, A. Coustenis, O. Prieto-Ballesteros, N. Hedman, O. Al Shehhi, E. Ammannito, M. Fujimoto, F. Groen, J. E. Moores, C. Mustin, K. Olsson-Francis, J. Peng, K. Praveenkumar, P. Rettberg, S. Sinibaldi, V. Ilyin, F. Raulin, Y. Suzuki, K. Xu, L. G. Whyte, M. Zaitsev, J. Buffo, G. Kminek, B. Schmidt
Faculty Publications
Recent discoveries related to the habitability and astrobiological relevance of the outer Solar System have expanded our understanding of where and how life may have originated. As a result, the Icy Worlds of the outer Solar System have become among the highest priority targets for future spacecraft missions dedicated to astrobiology-focused and/or direct life detection objectives. This, in turn, has led to a renewed interest in planetary protection concerns and policies for the exploration of these worlds and has been a topic of discussion within the COSPAR (Committee on Space Research) Panel on Planetary Protection. This paper summarizes the results …
Complementing Model Species With Model Clades, Makenzie E. Mabry, R. Shawn Abrahams, Ihsan A. Al-Shehbaz, William J. Baker, Simon Barak, Michael S. Barker, Russell L. Barrett, Aleksandra Beric, Samik Bhattacharya, Sarah B. Carey, Gavin C. Conant, John G. Conran, Maheshi Dassanayake, Patrick P. Edger, Jocelyn C. Hall, Yue Hao, Kasper P. Hendriks, Julian M. Hibberd, Graham J. King, Daniel J. Kliebenstein, Marcus A. Koch, Ilia J. Leitch, Frederic Lens, Martin A. Lysak, Alex C. Mcalvay, Michael T.W. Mckibben, Francesco Mercati, Richard C. Moore, Klaus Mummenhoff, Daniel J. Murphy, Lachezar A. Nikolov, Michael Pisias, Eric H. Roalson
Complementing Model Species With Model Clades, Makenzie E. Mabry, R. Shawn Abrahams, Ihsan A. Al-Shehbaz, William J. Baker, Simon Barak, Michael S. Barker, Russell L. Barrett, Aleksandra Beric, Samik Bhattacharya, Sarah B. Carey, Gavin C. Conant, John G. Conran, Maheshi Dassanayake, Patrick P. Edger, Jocelyn C. Hall, Yue Hao, Kasper P. Hendriks, Julian M. Hibberd, Graham J. King, Daniel J. Kliebenstein, Marcus A. Koch, Ilia J. Leitch, Frederic Lens, Martin A. Lysak, Alex C. Mcalvay, Michael T.W. Mckibben, Francesco Mercati, Richard C. Moore, Klaus Mummenhoff, Daniel J. Murphy, Lachezar A. Nikolov, Michael Pisias, Eric H. Roalson
Faculty Publications
Model species continue to underpin groundbreaking plant science research. At the same time, the phylogenetic resolution of the land plant tree of life continues to improve. The intersection of these 2 research paths creates a unique opportunity to further extend the usefulness of model species across larger taxonomic groups. Here we promote the utility of the Arabidopsis thaliana model species, especially the ability to connect its genetic and functional resources, to species across the entire Brassicales order. We focus on the utility of using genomics and phylogenomics to bridge the evolution and diversification of several traits across the Brassicales to …
Cellulose Nanofiber As Mask/Personal Protective Equipment Surface Agent For Enhanced Anti-Bacterial Performance, Sophia Jackson, Jonathan Chen
Cellulose Nanofiber As Mask/Personal Protective Equipment Surface Agent For Enhanced Anti-Bacterial Performance, Sophia Jackson, Jonathan Chen
Faculty Publications
The utilization of face-covering masks as an extended form of personal protective equipment has led to exponential waste measures during the COVID-19 pandemic, with estimations of up to 7200 tons of medical-type waste daily. A primary cause of this waste is surgical layered disposable masks that are constructed by melt-blown nonwovens usually made of non-biodegradable thermoplastic polymers like polypropylene. To increase widespread sustainable options to the public, commercialized or do-it-yourself-based fabric masks serve as a solution, but their resistance to harmful molecules is less than that of the medical-grade masks due to the fabric structure that leaves space for penetration. …
Making Library Student Employment More Meaningful, Jeremy Myntti
Making Library Student Employment More Meaningful, Jeremy Myntti
Faculty Publications
Generally speaking, the twofold mission of a university includes both research and teaching. While each institution has a varying degree of focus on these two overarching missions, universities are in the business of advancing knowledge and producing high-quality graduates ready for a competitive job market.
Review-Charleston Horse Power: Equine Culture In The Palmetto City, Blake Denton
Review-Charleston Horse Power: Equine Culture In The Palmetto City, Blake Denton
Faculty Publications
No abstract provided.
Chemically Amplified, Dry-Develop Poly(Aldehyde) Photoresist, Jose Lopez Ninantay, Anthony Engler, Jared Schwartz, Paul A. Kohl
Chemically Amplified, Dry-Develop Poly(Aldehyde) Photoresist, Jose Lopez Ninantay, Anthony Engler, Jared Schwartz, Paul A. Kohl
Faculty Publications
The catalytic decomposition of poly(phthalaldehyde) with a photoacid generator can be used as dry-develop photoresist, where the exposed film depolymerizes into small molecules to allow the development of features via controlled vaporization. Higher temperatures enabled shorter dry-development times, but also promoted faster photoacid diffusion that compromised pattern fidelity. Trihexylamine was used as a base quencher to counteract acid diffusion in a phthalaldehyde-propanal co-polymer photoresist. The propanal co-monomer in the polymer improves the vaporization rate because it has a higher vapor pressure than phthalaldehyde. Addition of the base quencher was found to improve the contrast, pattern fidelity, and ease-of-handling of the …
Enhanced Microstructural Stability And Hardness Of Multi-Component Nanocrystalline Nickel Alloys Processed Via Mechanical Alloying, Mari Therese S. Burton, B. Chad Hornbuckle, Vincent H. Hammond, Kristopher A. Darling, Helen M. Chan, Christopher J. Marvel, Martin P. Harmer
Enhanced Microstructural Stability And Hardness Of Multi-Component Nanocrystalline Nickel Alloys Processed Via Mechanical Alloying, Mari Therese S. Burton, B. Chad Hornbuckle, Vincent H. Hammond, Kristopher A. Darling, Helen M. Chan, Christopher J. Marvel, Martin P. Harmer
Faculty Publications
Nanocrystalline alloys are noteworthy for their high strength, and nanocrystalline Ni is being investigated for high-temperature applications. However, nanocrystalline alloys are unstable against coarsening, thereby prone to degradation of strength. In this work, two nanocrystalline alloys, Ni–(0, 11 at pct W)–3 at pct Ta–2 at pct Y, were designed to exhibit microstructural stability and high strength by forming nanoscale precipitates, maintaining stable nanoscale grains to exploit Hall–Petch hardening, and decreasing the stacking fault energy of the Ni-based matrix. Produced via high-energy cryogenic mechanical alloying, both alloys exhibited thermal stability and enhanced mechanical properties due to beneficial impurity yttrium oxide/nitride particles …
A Reciprocal Integral Identity Of Coupled Poisson And Laplace Equations In Two Arbitrary Domains Sharing A Common Boundary, Sai Sashankh Rao, Harris Wong
A Reciprocal Integral Identity Of Coupled Poisson And Laplace Equations In Two Arbitrary Domains Sharing A Common Boundary, Sai Sashankh Rao, Harris Wong
Faculty Publications
In solving the coupled vapor and liquid unidirectional flows in micro heat pipes, we discovered numerically an integral identity. After asymptotic and polynomial expansions, the coupled flows yield two reciprocal systems of equations. In system A, a vapor velocity UA obeys the Poisson equation and drives, through an interfacial boundary condition, a liquid velocity WA that satisfies the Laplace equation. In reciprocal system B, a liquid velocity WB obeys the Poisson equation and drives, through another interfacial boundary condition, a vapor velocity UB that satisfies the Laplace equation. We found that the vapor volume flow rate of UB is numerically …
Adaptive Apparel For People With Disabilities: A Systematic Literature Review And Future Research Agenda, Md. Rafiqul Islam Rana M.S.,Ph.D, Kerri Mcbee-Black, Ishtehar Sharif Swazan
Adaptive Apparel For People With Disabilities: A Systematic Literature Review And Future Research Agenda, Md. Rafiqul Islam Rana M.S.,Ph.D, Kerri Mcbee-Black, Ishtehar Sharif Swazan
Faculty Publications
This systematic literature review examines research on adaptive apparel for people with disabilities (PWDs), an underrepresented consumer group. Using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and the theories, contexts, characteristics, and methods (TCCM) framework, 51 articles from three academic databases were analyzed based on specific keywords and inclusion/exclusion criteria. The review highlighted advancements addressing the needs of PWD consumers, such as innovative designs, user-centered methodologies, and inclusive marketing. However, there remain gaps in areas like disability types, methodologies, cultural factors, and societal barriers. The implications of this research underscore the urgent need for the apparel …
Using Tensile And Compressive Stress Superposition During Incremental Forming To Manipulate Martensitic Transformation In Ss304, E M. Mamros, F Maab, A E. Tekkaya, Brad L. Kinsey, J Ha
Using Tensile And Compressive Stress Superposition During Incremental Forming To Manipulate Martensitic Transformation In Ss304, E M. Mamros, F Maab, A E. Tekkaya, Brad L. Kinsey, J Ha
Faculty Publications
Single point incremental forming (SPIF) is a flexible manufacturing process that has applications in industries ranging from biomedical to automotive. In addition to rapid prototyping, which requires easy adaptations in geometry or material for design changes, control of the final part properties is desired. One strategy that can be implemented is stress superposition, which is the application of additional stresses during an existing manufacturing process. Tensile and compressive stresses applied during SPIF showed significant effects on the resulting microstructure in stainless steel 304 truncated square pyramids. Specifically, the amount of martensitic transformation was increased through stress superposed incremental forming. Finite …
Empowering Collaborative Application Development: A Robust Framework For Ad-Hoc Distributed Systems, Imran Abbas Khawaja, Kamran Abid, Uzma Farooq, Zaki Malik
Empowering Collaborative Application Development: A Robust Framework For Ad-Hoc Distributed Systems, Imran Abbas Khawaja, Kamran Abid, Uzma Farooq, Zaki Malik
Faculty Publications
The amalgamation of ubiquity, mobility, computing prowess, storage, and communication of the portable electronic devices including smartphones, wearable devices, tablets have significantly altered the fabric of human existence. The software applications for these mobile devices possess the capability to disseminate and receive information, thereby enable the development of applications that may execute in collaborative manner. However, in situations with ad-hoc connectivity unavailability of infrastructure and communication breakdown are common, which inhibit information sharing across the devices, and hence affect the applications running in the collaborative spaces. Further the applications developers face challenges while developing reliable collaborative applications that can seamlessly …
The Second-Order Features Adjoint Sensitivity Analysis Methodology For Response-Coupled Forward/Adjoint Linear Systems (2nd-Fasam-L): Mathematical Framework And Illustrative Application To An Energy System, Dan Gabriel Cacuci
Faculty Publications
The Second-Order Features Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (abbreviated as “2nd-FASAM-L”), presented in this work, enables the most efficient computation of exactly obtained mathematical expressions of first- and second-order sensitivities of a generic system response with respect to the functions (“features”) of model parameters. Subsequently, the first- and second-order sensitivities with respect to the model’s uncertain parameters, boundaries, and internal interfaces are obtained analytically and exactly, without needing large-scale computations. Within the 2nd-FASAM-L methodology, the number of large-scale computations is proportional to the number of model features (defined as functions of model parameters), as opposed to …
Deterministic Global 3d Fractal Cloud Model For Synthetic Scene Generation, Aaron M. Schinder, Shannon R. Young, Bryan J. Steward, Michael L. Dexter, Andrew Kondrath, Stephen Hinton, Ricardo Davila
Deterministic Global 3d Fractal Cloud Model For Synthetic Scene Generation, Aaron M. Schinder, Shannon R. Young, Bryan J. Steward, Michael L. Dexter, Andrew Kondrath, Stephen Hinton, Ricardo Davila
Faculty Publications
This paper describes the creation of a fast, deterministic, 3D fractal cloud renderer for the AFIT Sensor and Scene Emulation Tool (ASSET). The renderer generates 3D clouds by ray marching through a volume and sampling the level-set of a fractal function. The fractal function is distorted by a displacement map, which is generated using horizontal wind data from a Global Forecast System (GFS) weather file. The vertical windspeed and relative humidity are used to mask the creation of clouds to match realistic large-scale weather patterns over the Earth. Small-scale detail is provided by the fractal functions which are tuned to …
Examining Mechanical Property Differences In Concrete With Natural And Synthetic Fiber Additives, Walid Fouad Edris, Sammy Elbialy, Ayman El-Zohairy, Ashraf Mohamed Soliman
Examining Mechanical Property Differences In Concrete With Natural And Synthetic Fiber Additives, Walid Fouad Edris, Sammy Elbialy, Ayman El-Zohairy, Ashraf Mohamed Soliman
Faculty Publications
The rapid growth of Natural Fiber Laminate (NFL) innovation is a direct response to environmental challenges, positioning these materials as superior alternatives to synthetic fiber composites. This paper delved into the outcomes of an extensive experimental study investigating the influence of sisal fiber (SLF), banana fiber (BF), and glass fiber (GF) on the mechanical and microstructural characteristics of concrete. The water absorption curves were established for sisal fiber concrete (SLFC), banana fiber concrete (BFC), and glass fiber concrete (GFC). Furthermore, Scanning Electron Microscope (SEM) observations were conducted to perform microanalysis and failure analysis of the tested specimens. The results revealed …
Investigating Turbulence Distribution In The Lower Atmosphere Using Time-Lapse Imagery From A Camera Bank, Benjamin C. Wilson, Santasri R. Bose-Pillai, Jack E. Mccrae, Steven T. Fiorino, Robert P. Freeman, Laura R. Slabaugh
Investigating Turbulence Distribution In The Lower Atmosphere Using Time-Lapse Imagery From A Camera Bank, Benjamin C. Wilson, Santasri R. Bose-Pillai, Jack E. Mccrae, Steven T. Fiorino, Robert P. Freeman, Laura R. Slabaugh
Faculty Publications
The atmosphere’s surface layer (first 50–100 m above the ground) is extremely dynamic and is influenced by surface radiative properties, roughness, and atmospheric stability. Understanding the distribution of turbulence in the surface layer is critical to many applications, such as directed energy and free space optical communications. Several measurement campaigns in the past have relied on weather balloons or sonic detection and ranging (SODAR) to measure turbulence up to the atmospheric boundary layer. However, these campaigns had limited measurements near the surface. We have developed a time-lapse imaging technique to profile atmospheric turbulence from turbulence-induced differential motion or tilts between …
Study Of Interface Charges Between In-Situ Grown Dielectric And Gan/Algan Hfet Structure By Metal-Organic Chemical Vapor Deposition, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir
Study Of Interface Charges Between In-Situ Grown Dielectric And Gan/Algan Hfet Structure By Metal-Organic Chemical Vapor Deposition, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir
Faculty Publications
The integration of an oxide layer in metal-oxide-semiconductor high electron mobility transistors (MOSHFETs) plays a crucial role in minimizing gate leakage current and enabling wider gate voltage swings. In this study, we present the fabrication and characterization of GaN/AlGaN heterostructure field-effect transistors (HFETs) capped with a Ga₂O₃ dielectric layer. The oxide was deposited via an in-situ process within a single MOCVD reactor without vacuum interruption. Our findings demonstrate that the in-situ capped HFETs exhibit a significantly lower interface charge density of 4 × 10¹² cm⁻² compared to 1 × 10¹³ cm⁻²·eV⁻¹ observed in ex-situ grown counterparts. These results highlight the …
Study Of Indium-Silicon Co-Doped Gallium Oxide For Effective N-Type Doping, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir
Study Of Indium-Silicon Co-Doped Gallium Oxide For Effective N-Type Doping, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir
Faculty Publications
We present the research efforts to achieve effective n-type doping in gallium oxide (Ga2O3), an ultrawide bandgap semiconductor, grown by metal-organic chemical vapor deposition (MOCVD). The application of semiconductors for power electronics requires wide and ultrawide bandgap materials that can be doped to create higher electron (n-type) or hole (p-type) densities. Ga2O3, with a bandgap of 4.9 eV, is an emerging and promising material. The bandgap of Ga2O3 is much higher than other wide bandgap material that have been adopted by or in the process of adoption by the industry for power electronics. However, the doping of Ga2O3 has some …
Gallium Oxide Based Avalanche Photo Detector, Muhammad Hassan Tahir Mr, Nifat Jahan, Md Ghulam Zakir
Gallium Oxide Based Avalanche Photo Detector, Muhammad Hassan Tahir Mr, Nifat Jahan, Md Ghulam Zakir
Faculty Publications
Gallium oxide (Ga₂O₃), an ultrawide bandgap semiconductor with a bandgap of 4.6 eV and a high critical electric field of 10.3 MV/cm, offers strong potential for high-performance avalanche photodetectors (APDs). This project explores the design and characterization of a Ga₂O₃-based APD featuring doped and undoped epitaxial layers optimized for high electric field generation and low thermal conductivity, enabling stable operation in high-temperature environments. Simulation results show a uniform electric field of 1 MV/cm under a 100 V applied bias, while material characterization confirms excellent surface smoothness with a mean roughness of ~1.1 nm and an electron mobility of 21.7 cm²/V·s …
Totoro: A Scalable Federated Learning Engine For The Edge, Cheng Wei Ching, Xin Chen, Taehwan Kim, Bo Ji, Qingyang Wang, Dilma Da Silva, Liting Hu
Totoro: A Scalable Federated Learning Engine For The Edge, Cheng Wei Ching, Xin Chen, Taehwan Kim, Bo Ji, Qingyang Wang, Dilma Da Silva, Liting Hu
Faculty Publications
Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totoro, a novel scalable FL engine, that enables massive FL applications to run simultaneously on edge networks. The key insight is to explore a distributed hash table (DHT)-based peer-to-peer (P2P) model to re-architect the centralized FL system design into a fully decentralized one. In contrast to previous studies where many FL applications shared one centralized parameter server, Totoro assigns a dedicated parameter server to each individual application. Any edge node can act as any application's coordinator, …
Ion Heating By A Fast Magnetosonic Turbulence In The Solar Corona, Sergei A. Markovskii, Bernard J. Vasquez
Ion Heating By A Fast Magnetosonic Turbulence In The Solar Corona, Sergei A. Markovskii, Bernard J. Vasquez
Faculty Publications
Observational data at heliocentric distances of tens of solar radii suggest that fast magnetosonic modes make up a considerable fraction of the solar wind fluctuations. Furthermore, this fraction appears to increase closer to the Sun. We carry out three-dimensional kinetic simulations with particle ions and fluid electrons to evaluate the proton and alpha-particle heating produced by the damping of the fast waves in the solar corona. Realistic parameters at 5 solar radii, including the fluctuation amplitude, are used. We show that, due to the cyclotron resonance, the alphas are heated preferentially perpendicularly to the magnetic field and much more strongly …
Deep Selenium Donors In Zngep2 Crystals: An Electron Paramagnetic Resonance Study Of A Nonlinear Optical Material, Timothy D. Gustafson, Larry E. Halliburton, Nancy C. Giles, Peter G. Schunemann, Kevin T. Zawilski, J. Jesenovec, Kent L. Averett, Jonathan E. Slagle [*]
Deep Selenium Donors In Zngep2 Crystals: An Electron Paramagnetic Resonance Study Of A Nonlinear Optical Material, Timothy D. Gustafson, Larry E. Halliburton, Nancy C. Giles, Peter G. Schunemann, Kevin T. Zawilski, J. Jesenovec, Kent L. Averett, Jonathan E. Slagle [*]
Faculty Publications
Zinc germanium diphosphide (ZnGeP2) is a ternary semiconductor best known for its nonlinear optical properties. A primary application is optical parametric oscillators operating in the mid-infrared region. Controlled donor doping provides a method to minimize the acceptor-related absorption bands that limit the output power of these devices. In the present study, a ZnGeP2 crystal is doped with selenium during growth. Selenium substitutes for phosphorus and serves as a deep donor. Significant concentrations of native defects (zinc vacancies, germanium-on-zinc antisites, and phosphorous vacancies) are also present in the crystal. Electron paramagnetic resonance (EPR) is used to establish the …
Acoustothermal Transfection For Cell Therapy, Xiufang Liu, Ning Rong, Zhenhua Tian, Joseph Rich, Lili Niu, Pengqi Li, Laixin Huang, Yandai Dong, Wei Zhou, Pengfei Zhang, Yizhao Chen, Congzhi Wang, Long Meng, Tony Jun Huang, Hairong Zheng
Acoustothermal Transfection For Cell Therapy, Xiufang Liu, Ning Rong, Zhenhua Tian, Joseph Rich, Lili Niu, Pengqi Li, Laixin Huang, Yandai Dong, Wei Zhou, Pengfei Zhang, Yizhao Chen, Congzhi Wang, Long Meng, Tony Jun Huang, Hairong Zheng
Faculty Publications
Transfected stem cells and T cells are promising in personalized cell therapy and immunotherapy against various diseases. However, existing transfection techniques face a fundamental trade-off between transfection efficiency and cell viability; achieving both simultaneously remains a substantial challenge. This study presents an acoustothermal transfection method that leverages acoustic and thermal effects on cells to enhance the permeability of both the cell membrane and nuclear envelope to achieve safe, efficient, and high-throughput transfection of primary T cells and stem cells. With this method, two types of plasmids were simultaneously delivered into the nuclei of mesenchymal stem cells (MSCs) with efficiencies of …
Community-Level Post-Hazard Functionality Methodology For Buildings Exposed To Floods, Omar Nofal, Nathanael Rosenheim, Sabarethinam Kameshwar, Jayant Patil, Xiangnan Zhou, John W. Van De Lindt, Leonardo Duenas-Osorio, Eun Jeong Cha, Amin Endrami, Elaina Sutley, Harvey Cutler, Tao Lu, Chen Wang, Hwayoung Jeon
Community-Level Post-Hazard Functionality Methodology For Buildings Exposed To Floods, Omar Nofal, Nathanael Rosenheim, Sabarethinam Kameshwar, Jayant Patil, Xiangnan Zhou, John W. Van De Lindt, Leonardo Duenas-Osorio, Eun Jeong Cha, Amin Endrami, Elaina Sutley, Harvey Cutler, Tao Lu, Chen Wang, Hwayoung Jeon
Faculty Publications
This paper presents a building-level post-hazard functionality model for communities exposed to flood hazards including the interdependencies between the population, buildings, and infrastructure. An existing portfolio of building archetypes is used to model the post-hazard physical flood functionality of different building typologies within the community with the goal of supporting resilience-informed decision-making. Specific fragility-based flood functionality curves were developed for this portfolio to quantify the exceedance probability of a prescribed set of functionality states. While the physical functionality of buildings is significant to the total functionality of a building and community resilience assessment, the functionality of utilities such as power …
From Pumps And Pipes To Data And Discovery: Unifying A New Division, Jeremy Myntti, Megan Mcmillan
From Pumps And Pipes To Data And Discovery: Unifying A New Division, Jeremy Myntti, Megan Mcmillan
Faculty Publications
A reorganization of the Brigham Young University Library in 2020 brought many changes to the library, including the formation of the Metadata and Information Technology (MIT) Division. This new division needed to define a vision for itself, encourage a sense of unity among its employees, and foster collaboration among those employees. This article details how the MIT Division created a Data and Discovery initiative based on the Pumps and Pipes collaboration model, a model which brings seemingly unrelated industries together to discover solutions to their respective challenges by exploring “their neighbor’s toolbox” (Pumps and Pipes, n.d., “What We Do”). Here …
Generating Rate Features For Mobile Applications, Shristi Shrestha, Anas Mahmoud
Generating Rate Features For Mobile Applications, Shristi Shrestha, Anas Mahmoud
Faculty Publications
Mobile application (app) stores employ standardized mechanisms for rating hosted apps, typically in the form of free text reviews and numerical rating scales. App users use these mechanisms to express their opinions about their apps and discover apps that fit their specific needs. However, existing app rating systems do not take into account the operational characteristics of application domains. Thus, generated user reviews are often short, subjective, and one-dimensional. To overcome these limitations, in this paper, we propose a multi-dimensional rating system for mobile apps. Our assumption is that an adaptive goal-based app rating system can prompt users to generate …
Blocks? Graphs? Why Not Both? Designing And Evaluating A Hybrid Programming Environment For End-Users, Nico Ritschel, Felipe Fronchetti, Reid Holmes, Ronald Garcia, David C. Shepherd
Blocks? Graphs? Why Not Both? Designing And Evaluating A Hybrid Programming Environment For End-Users, Nico Ritschel, Felipe Fronchetti, Reid Holmes, Ronald Garcia, David C. Shepherd
Faculty Publications
Many modern end-user development environments support one of two visual modalities: block-based programming or data-flow programming. In this work, we investigate the trade-offs between the two modalities in the context of robotics tasks. These often contain both aspects that are better solved with blocks and others that best fit data-flow programming. To address this style of task, we present and discuss two novel programming environment prototypes, one purely block-based and one a hybrid of blocks and data-flow programming. We compare the designs through a controlled experiment with 113 end-user participants, in which we asked them to solve programming and program …
Surfactant-Specific Ai-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, And Reinforcement Learning For Tailored Surfactant Synthesis, Miriam Nnadili, Andrew N. Okafor, Teslim Olayiwola, David Akinpelu, Revati Kumar, Jose A. Romagnoli
Surfactant-Specific Ai-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, And Reinforcement Learning For Tailored Surfactant Synthesis, Miriam Nnadili, Andrew N. Okafor, Teslim Olayiwola, David Akinpelu, Revati Kumar, Jose A. Romagnoli
Faculty Publications
Molecular design is a critical aspect of various scientific and industrial fields, where the properties of molecules hold significant importance. In this study, a 3-fold methodology design is presented that leverages the power of generative artificial intelligence (AI), predictive modeling, and reinforcement learning to create tailored molecules with desired properties. This model synergistically combines deep learning techniques with Self-Referencing Embedded Strings (SELFIES) molecular representation to build a generative model that generates valid molecules and a graphical neural network model that accurately forecasts molecular properties. The Variational Autoencoder (VAE) coupled with reinforcement learning helps refine molecule generation based on targeted attributes. …