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The Somalia Affair And The Transformation Of Canadian Military Justice, Preston Lim Sep 2023

The Somalia Affair And The Transformation Of Canadian Military Justice, Preston Lim

Faculty Publications

No abstract provided.

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Computation Of High-Order Sensitivities Of Model Responses To Model Parameters—Ii: Introducing The Second-Order Adjoint Sensitivity Analysis Methodology For Computing Response Sensitivities To Functions/Features Of Parameters, Dan Gabriel Cacuci Sep 2023

Computation Of High-Order Sensitivities Of Model Responses To Model Parameters—Ii: Introducing The Second-Order Adjoint Sensitivity Analysis Methodology For Computing Response Sensitivities To Functions/Features Of Parameters, Dan Gabriel Cacuci

Faculty Publications

This work introduces a new methodology, which generalizes the extant second-order adjoint sensitivity analysis methodology for computing sensitivities of model responses to primary model parameters. This new methodology enables the computation, with unparalleled efficiency, of second-order sensitivities of responses to functions of uncertain model parameters, including uncertain boundaries and internal interfaces, for linear and/or nonlinear models. Such functions of primary model parameters customarily describe characteristic “features” of the system under consideration, including correlations modeling material properties, flow regimes, etc. The number of such “feature” functions is considerably smaller than the total number of primary model parameters. By enabling the computations …

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Acceleration Of Turbulent Combustion Dns Via Principal Component Transport, Anuj Kumar, Martin Rieth, Opeoluwa Owoyele, Jacqueline H. Chen, Tarek Echekki Sep 2023

Acceleration Of Turbulent Combustion Dns Via Principal Component Transport, Anuj Kumar, Martin Rieth, Opeoluwa Owoyele, Jacqueline H. Chen, Tarek Echekki

Faculty Publications

We investigate the implementation of principal component (PC) transport to accelerate the direct numerical simulation (DNS) of turbulent combustion flows. The acceleration is achieved using the transport of PCs and the tabulation of the closure terms in the PC-transport equations using machine learning. Further acceleration is achieved by a treatment for bottlenecks associated with the acoustic time steps for low Mach number flows. The approach is implemented in 2D and 3D on a laboratory scale lean premixed methane-air flame stabilized on a slot burner. DNS based on the transport of thermochemical scalars (species and energy) is also carried out, first …

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Investigation Of Welding Repair Methods For Thermoplastic Composite Joints, Wencai Li, Genevieve Palardy Sep 2023

Investigation Of Welding Repair Methods For Thermoplastic Composite Joints, Wencai Li, Genevieve Palardy

Faculty Publications

Repair is a common process to extend the service life of composite structures, and there is a need for techniques compatible with thermoplastic composites (TPCs). As the assembly of TPC joints through welding is gaining importance, evaluating their potential for repairability is essential. This work aims to develop novel techniques to repair welded TPC joints: 1) Successive repair (three cycles) of broken joints by ultrasonic-assisted method with neat and nanocomposite films, and 2) one-step repair using ultrasonic welding (USW) and resistance heating. It was found from tensile testing that multi-walled carbon nanotube/polypropylene (MWCNT/PP) films partially restored the lap shear strength …

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A Sensitive Strain Sensor Based On Multi-Walled Carbon Nanotubes/Polyaniline/Silicone Rubber Nanocomposite For Human Motion Detection, Seyedmajid Hosseini, Mohsen Norouzi, Jian Xu Sep 2023

A Sensitive Strain Sensor Based On Multi-Walled Carbon Nanotubes/Polyaniline/Silicone Rubber Nanocomposite For Human Motion Detection, Seyedmajid Hosseini, Mohsen Norouzi, Jian Xu

Faculty Publications

Strain sensors play a pivotal role in quantifying stress and strain across diverse domains, encompassing engineering, industry, and medicine. Their applicability has recently extended into the realm of wearable electronics, enabling real-time monitoring of body movements. However, conventional strain sensors, while extensively employed, grapple with limitations such as diminished sensitivity, suboptimal tensile strength, and susceptibility to environmental factors. In contrast, polymer-based composite strain sensors have gained prominence for their capability to surmount these challenges. The integration of carbon nanotubes (CNTs) as reinforcing agents within the polymer matrix ushers in a transformative era, bolstering mechanical strength, electrical conductivity, and thermal stability. …

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Cybercompetitions: A Survey Of Competitions, Tools, And Systems To Support Cybersecurity Education, Tyler Balon, Ibrahim (Abe) Baggili Sep 2023

Cybercompetitions: A Survey Of Competitions, Tools, And Systems To Support Cybersecurity Education, Tyler Balon, Ibrahim (Abe) Baggili

Faculty Publications

Over the last decade, industry and academia have worked towards raising students’ interests in cybersecurity through game-like competitions to fill a shortfall of cybersecurity professionals. Rising interest in video games in combination with gamification techniques make learning fun, easy, and addictive. It is crucial that cybersecurity curricula enhance and expose cybersecurity education to a diversified student body to meet workforce demands. Gamification through cybercompetitions is one method to achieve that. With a vast list of options for competition type, focus areas, learning outcomes, and participant experience levels we need to systematize knowledge of attributes that ameliorate cybercompetitions. In the wake …

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Assessing The Threat Of Rosetta 2 On Apple Silicon Devices, Raphaela Mettig, Charles Glass, Andrew Case, Golden G. Richard Sep 2023

Assessing The Threat Of Rosetta 2 On Apple Silicon Devices, Raphaela Mettig, Charles Glass, Andrew Case, Golden G. Richard

Faculty Publications

In November 2020, Apple introduced a new architecture, Apple Silicon, that would power all new laptops and desktops. Based on ARM64 and with many custom features added by Apple, this marked a complete switch from the Intel-based systems that have powered Apple laptops and desktops for many years. With such a radical change, it was obvious that many existing digital forensics and incident response techniques would need to be re-evaluated on the platform. Similarly, several new additions to the operating system are interesting as potential abuse vectors for malware and malicious actors. In this paper, we document our effort to …

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The Town That Built Its Own River: La Plaza Del Cerro At Taos County New Mexico, José A. Rivera Ph.D Sep 2023

The Town That Built Its Own River: La Plaza Del Cerro At Taos County New Mexico, José A. Rivera Ph.D

Faculty Publications

Cerro is an unincorporated community in Taos County, New Mexico, and is situated near New Mexico State Highway 522 heading north to the Colorado border. Nearby is Cerro de Guadalupe, a peak that has an elevation of 8,796 feet and Cerro at 7,490 feet. The connection to Guadalupe Mountain gave the town its original name as “La Plaza del Cerro de Guadalupe.” Cerro was established in the early 1850s by settlers who arrived from nearby Questa and Taos. By itself, Guadalupe Mountain did not provide sufficient water to sustain an agrarian economy based on farming and livestock ranching as was …

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A Rough Dombi Bonferroni Based Approach For Public Charging Station Type Selection, Muhammet Deveci, Nuh Erdogan, Dragan Pamucar, Sadik Kucuksari, Umit Cali Sep 2023

A Rough Dombi Bonferroni Based Approach For Public Charging Station Type Selection, Muhammet Deveci, Nuh Erdogan, Dragan Pamucar, Sadik Kucuksari, Umit Cali

Faculty Publications

As the transition to electric mobility accelerates, charging infrastructure is rapidly expanding. Publicly accessible chargers, also known as electric vehicle supply equipment (EVSE), are critical not only for further promoting the transition but also for mitigating charger access anxiety among electric vehicle (EV) users. It is essential to install the proper EVSE configuration that meets the EV user's various considerations. This study presents a multi-criteria decision-making (MCDM) framework for determining the best performing public EVSE type from multiple EV user perspectives. The proposed approach combines a new MCDM model with an optimal public charging station model. While the optimal model …

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Bacterial Extraction And Concentration From Blood Through Filtration Processes, Ryan L. Wood, Rebecca Prymak, Evelyn Welling, Alayna Bedwell, Jordan T. Wood, Damian E. Teasley, Magdalena Crofts, Hope Callister Anderson, Clifton M. Anderson, W Cameron Beard, Jacob Stepan, Alexandra Carter, William G. Pitt Aug 2023

Bacterial Extraction And Concentration From Blood Through Filtration Processes, Ryan L. Wood, Rebecca Prymak, Evelyn Welling, Alayna Bedwell, Jordan T. Wood, Damian E. Teasley, Magdalena Crofts, Hope Callister Anderson, Clifton M. Anderson, W Cameron Beard, Jacob Stepan, Alexandra Carter, William G. Pitt

Faculty Publications

Blood stream infections (BSIs) are challenging to rapidly and precisely diagnose. Current clinical diagnostic methods for BSI identification require culturing the blood sample for many hours prior to identifying the bacteria and possible antibiotic resistance. Removing the culturing step from the bacterial identification process of a BSI provides a significant reduction in the processing time, but shifts the rate-limiting step from the growth time to the concentration procedure, since CFU levels in clinical blood samples can be as low as 10 CFU/mL in blood. This study developed a novel whole blood filtration method to concentrate bacteria from a BSI without …

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Transferrin-Targeted Liposomes In Glioblastoma Therapy: A Review, Paul Kawak, Nour M Al Sawaftah, William G. Pitt, Ghaleb A. Husseini Aug 2023

Transferrin-Targeted Liposomes In Glioblastoma Therapy: A Review, Paul Kawak, Nour M Al Sawaftah, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Glioblastoma (GBM) is a highly aggressive brain tumor, and its treatment is further complicated by the high selectivity of the blood–brain barrier (BBB). The scientific community is urgently seeking innovative and effective therapeutic solutions. Liposomes are a promising new tool that has shown potential in addressing the limitations of chemotherapy, such as poor bioavailability and toxicity to healthy cells. However, passive targeting strategies based solely on the physicochemical properties of liposomes have proven ineffective due to a lack of tissue specificity. Accordingly, the upregulation of transferrin receptors (TfRs) in brain tissue has led to the development of TfR-targeted anticancer therapeutics. …

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Recommended Separation Distances For 1.3 Ammunition And Explosives, Clint Guymon, Ming Liu, Josephine Covino Aug 2023

Recommended Separation Distances For 1.3 Ammunition And Explosives, Clint Guymon, Ming Liu, Josephine Covino

Faculty Publications

Separation Distances are used throughout the world to protect people and assets from the potential hazardous effects from propellants, explosives, and pyrotechnics. The current separation distances for Hazard Division (HD) 1.3 substances and articles used in the United States, in some cases, may not adequately protect against the effects from heat flux and debris when those substances and articles are ignited in a confined structure. Multiple tests in such a confined scenario with HD 1.3 substances have shown that the heat flux and debris hazards could result in injury at distances beyond the current specified explosives safety separation distance (ESSD). …

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Machine Learning For Low Signal-To-Noise Ratio Detection, Fred Lacy, Angel Ruiz-Reyes, Anthony Brescia Aug 2023

Machine Learning For Low Signal-To-Noise Ratio Detection, Fred Lacy, Angel Ruiz-Reyes, Anthony Brescia

Faculty Publications

Sensor networks collect data that is often contaminated by noise. Therefore, it is often necessary to analyze sensor data to determine if a signal is present. This research project utilizes a machine learning algorithm that is able to detect a signal in the presence of noise. The algorithm incorporates the long short-term memory (LSTM) method to determine the presence or absence of a signal in the midst of white Gaussian noise. This machine learning approach was tested with computer generated data and has an accuracy of at least 98% for signal-to-noise levels greater than -12 dB. Furthermore, this algorithm can …

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Monodisperse Sub-100 Nm Au Nanoshells For Low-Fluence Deep-Tissue Photoacoustic Imaging, Luis D.B. Manuel, Vinoin Devpaul Vincely, Carolyn L. Bayer, Kevin M. Mcpeak Aug 2023

Monodisperse Sub-100 Nm Au Nanoshells For Low-Fluence Deep-Tissue Photoacoustic Imaging, Luis D.B. Manuel, Vinoin Devpaul Vincely, Carolyn L. Bayer, Kevin M. Mcpeak

Faculty Publications

Nanoparticles with high absorption cross sections will advance therapeutic and bioimaging nanomedicine technologies. While Au nanoshells have shown great promise in nanomedicine, state-of-the-art synthesis methods result in scattering-dominant particles, mitigating their efficacy in absorption-based techniques that leverage the photothermal effect, such as photoacoustic (PA) imaging. We introduce a highly reproducible synthesis route to monodisperse sub-100 nm Au nanoshells with an absorption-dominant optical response. Au nanoshells with 48 nm SiO2 cores and 7 nm Au shells show a 14-fold increase in their volumetric absorption coefficient compared to commercial Au nanoshells with dimensions commonly used in nanomedicine. PA imaging with Au nanoshell …

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Simultaneous Multistep Transformer Architecture For Model Predictive Control, Junho Park, Mohammad Reza Babaei, Samuel Arce Munoz, Ashwin N. Venkat, John Hedengren Aug 2023

Simultaneous Multistep Transformer Architecture For Model Predictive Control, Junho Park, Mohammad Reza Babaei, Samuel Arce Munoz, Ashwin N. Venkat, John Hedengren

Faculty Publications

Transformer neural networks have revolutionized natural language processing by effectively addressing the vanishing gradient problem. This study focuses on applying Transformer models to time-series forecasting and customizing them for a simultaneous multistep-ahead prediction model in surrogate model predictive control (MPC). The proposed method showcases improved control performance and computational efficiency compared to LSTM-based MPC and one-step-ahead prediction models using both LSTM and Transformer networks. The study introduces three key contributions: (1) a new MPC system based on a Transformer time-series architecture, (2) a training method enabling multistep-ahead prediction for time-series machine learning models, and (3) validation of the enhanced time …

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Don't Fear The Artificial Intelligence: A Systematic Review Of Machine Learning For Prostate Cancer Detection In Pathology, Aaryn Frewing, Alexander B. Gibson, Richard Robertson, Paul Urie, Dennis Della Corte Aug 2023

Don't Fear The Artificial Intelligence: A Systematic Review Of Machine Learning For Prostate Cancer Detection In Pathology, Aaryn Frewing, Alexander B. Gibson, Richard Robertson, Paul Urie, Dennis Della Corte

Faculty Publications

The adoption of whole slide image (WSI) scanners in clinical practice was accelerated by US Food and Drug Administration approval in 2017, which allowed primary pathologic diagnoses to be made on scanned images. Images in the digital domain allow the application of pathology artificial intelligence (AI), including clinical decision support with algorithms performing specific diagnoses.1,2 These algorithms, if trained properly, could go beyond the ability of human observation to detect and quantify features that are not recognizable by human perception.1,3,4

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Ph-Dependent Solution Micellar Structure Of Amphoteric Polypeptoid Block Copolymers With Positionally Controlled Ionizable Sites, Meng Zhang, Yun Liu, Xiaobing Zuo, Shuo Qian, Sai Venkatesh Pingali, Richard E. Gillilan, Qingqiu Huang, Donghui Zhang Aug 2023

Ph-Dependent Solution Micellar Structure Of Amphoteric Polypeptoid Block Copolymers With Positionally Controlled Ionizable Sites, Meng Zhang, Yun Liu, Xiaobing Zuo, Shuo Qian, Sai Venkatesh Pingali, Richard E. Gillilan, Qingqiu Huang, Donghui Zhang

Faculty Publications

While solution micellization of ionic block copolymers (BCP) with randomly distributed ionization sites along the hydrophilic segments has been extensively studied, the roles of positionally controlled ionization sites along the BCP chains in their micellization and resulting micellar structure remain comparatively less understood. Herein, three amphoteric polypeptoid block copolymers carrying two oppositely charged ionizable sites, with one fixed at the hydrophobic terminus and the other varyingly positioned along the hydrophilic segment, have been synthesized by sequential ring-opening polymerization method. The presence of the ionizable site at the hydrophobic segment terminus is expected to promote polymer association toward equilibrium micellar structures …

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Determination Of A Surrogate For Plutonium Electrorefining, Greg Chipman, Bryant Johnson, Suhee Choi, Chao Zhang, Michael Simpson, Devin Rappleye Aug 2023

Determination Of A Surrogate For Plutonium Electrorefining, Greg Chipman, Bryant Johnson, Suhee Choi, Chao Zhang, Michael Simpson, Devin Rappleye

Faculty Publications

Conducting research experiments on plutonium electrorefining is difficult due to the significant hazards and regulations associated with nuclear materials. Finding a surrogate for plutonium electrorefining studies would enable more fundamental research to be conducted. Potential surrogates were first identified by determining the physical properties required to conduct electrorefining at the same conditions commonly used in plutonium electrorefining, a molten metal and molten CaCl2 at 1123 K. Ce-CeCl3, In-InCl3, and Pb-PbCl2 were the only potential surrogates identified using these constraints. Sn-SnCl2 was also tested at these same conditions. More potential surrogates were identified by …

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Computational Investigations Of The Water Structure At The Α-Al2o3(0001)-Water Interface, Xiaoliu Zhang, Christopher G. Arges, Revati Kumar Aug 2023

Computational Investigations Of The Water Structure At The Α-Al2o3(0001)-Water Interface, Xiaoliu Zhang, Christopher G. Arges, Revati Kumar

Faculty Publications

The α-Al2O3(0001)-water interface is investigated using ab initio molecular dynamics (AIMD) simulations. The spectral signatures of the vibrational sum frequency generation (vSFG) spectra of OH stretching mode for water molecules at the interface are related to the interfacial water orientation, hydrogen bond network, and water dissociation process at different water/alumina interfaces. Significant differences are found between alumina surfaces at different hydroxylation levels, namely, Al-terminated and O-terminated α-Al2O3(0001). By calculating the vibrational sum frequency generation spectrum and its imaginary component from AIMD results, the structure of interfacial waters as well as the termination of alumina slab are related to the spectral …

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Thermal Blooming With Laser-Induced Convection: Radial Basis Function Simulation, Benjamin F. Akers, Steven T. Fiorino, Jonah A. Reeger Aug 2023

Thermal Blooming With Laser-Induced Convection: Radial Basis Function Simulation, Benjamin F. Akers, Steven T. Fiorino, Jonah A. Reeger

Faculty Publications

The propagation of a high energy laser through a nearly stagnant absorbing medium is studied. The absorption values and time scale of the problem are such that the laser induces convective heat currents transverse to the beam. These currents couple to the laser via the refractive index, causing time dependent thermal blooming. A numerical method is developed and applied to the model in [ J. Electromagn. Waves Appl. 33, 96 (2019) ], using radial basis functions for spatial differencing, which allows for irregular point spacings and a wide class of geometries. Both the beam and laser-induced fluid dynamics are …

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On The Evaluation Of Entropy Threshold For Debonding During Crack Prorogation Using Dic Technique, A. Mahmoudi, M. R. Khosravani, M. M. Khonsari, Tamara Reinicke Aug 2023

On The Evaluation Of Entropy Threshold For Debonding During Crack Prorogation Using Dic Technique, A. Mahmoudi, M. R. Khosravani, M. M. Khonsari, Tamara Reinicke

Faculty Publications

The accumulated entropy at the crack tip of a semi-circular bending (SCB) specimen is investigated to obtain a threshold for material fracture and interatomic debonding. The presented approach uses the experimental data obtained from the Digital Image Correlation (DIC) technique and strain maps superposed to SCB specimens to measure the plastic flow at the crack tip. The Swift strain hardening model is utilized to calculate the stress domain at the crack tip and, consequently, the plastic strain energy and entropy accumulation. Results show that the crack surface propagates when the generated entropy at the crack tip reaches a critical limit. …

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An Improved Framework For Estimating Organic Carbon Content Of Mangrove Soils Using Loss-On-Ignition And Coastal Environmental Setting, Joshua L. Breithaupt, Havalend E. Steinmuller, Andre S. Rovai, Kevin M. Engelbert, Joseph M. Smoak, Lisa G. Chambers, Kara R. Radabaugh, Ryan P. Moyer, Amanda Chappel, Derrick R. Vaughn, Thomas S. Bianchi, Robert R. Twilley, Paulo Pagliosa, Miguel Cifuentes-Jara, Danilo Torres Aug 2023

An Improved Framework For Estimating Organic Carbon Content Of Mangrove Soils Using Loss-On-Ignition And Coastal Environmental Setting, Joshua L. Breithaupt, Havalend E. Steinmuller, Andre S. Rovai, Kevin M. Engelbert, Joseph M. Smoak, Lisa G. Chambers, Kara R. Radabaugh, Ryan P. Moyer, Amanda Chappel, Derrick R. Vaughn, Thomas S. Bianchi, Robert R. Twilley, Paulo Pagliosa, Miguel Cifuentes-Jara, Danilo Torres

Faculty Publications

The use of loss on ignition (LOI) measurements of soil organic matter (SOM) to estimate soil organic carbon (OC) content is a decades-old practice. While there are limitations and uncertainties to this approach, it continues to be necessary for many coastal wetlands researchers and conservation practitioners without access to an elemental analyzer. Multiple measurement, reporting, and verification (MRV) standards recognize the need (and uncertainty) for using this method. However, no framework exists to explain the substantial differences among equations that relate SOM to OC; consequently, equation selection can be a haphazard process leading to widely divergent and inaccurate estimates. To …

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Does The Community Choice Aggregation Approach Advance Distributed Generation Development? A Case Study Of Municipalities In California, Robin M. Rotman, Jun Deng Aug 2023

Does The Community Choice Aggregation Approach Advance Distributed Generation Development? A Case Study Of Municipalities In California, Robin M. Rotman, Jun Deng

Faculty Publications

Globally, decentralized energy systems are gaining popularity due to their potential for energy accessibility, energy resilience, and sustainability benefits. Existing research on an energy system decentralization approach, community choice aggregation (CCA), shows its ability to lower energy costs and increase renewable electricity consumption for U.S. communities. Nevertheless, research on the relationship between CCA and distributed electricity generation development is lacking. This paper fills this gap by investigating if the CCA approach associates with distributed generation capacity interconnection in California municipalities. The finding shows that although the average capacity has increased for all municipalities throughout the study period, contrary to proponents’ …

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Fermi-Gbm Discovery Of Grb 221009a: An Extraordinarily Bright Grb From Onset To Afterglow, S. Lesage, P. Veres, M. S. Briggs, A. Goldstein, D. Kocevski, E. Burns, C. A. Wilson-Hodge, P. N. Bhat, D. Huppenkothen, C. L. Fryer, R. Hamburg, J. Racusin, E. Bissaldi, E. Bissaldi, W. H. Cleveland, S. Dalessi, C. Fletcher, M. M. Giles, B. A. Hristov, C. M. Hui, B. Mailyan, C. Malacaria, S. Poolakkil, O. J. Roberts, A. Von Kienlin, J. Wood, M. Ajello, M. Arimoto, L. Baldini, J. Ballet, M. G. Baring, D. Bastieri, J. Becerra Gonzalez Aug 2023

Fermi-Gbm Discovery Of Grb 221009a: An Extraordinarily Bright Grb From Onset To Afterglow, S. Lesage, P. Veres, M. S. Briggs, A. Goldstein, D. Kocevski, E. Burns, C. A. Wilson-Hodge, P. N. Bhat, D. Huppenkothen, C. L. Fryer, R. Hamburg, J. Racusin, E. Bissaldi, E. Bissaldi, W. H. Cleveland, S. Dalessi, C. Fletcher, M. M. Giles, B. A. Hristov, C. M. Hui, B. Mailyan, C. Malacaria, S. Poolakkil, O. J. Roberts, A. Von Kienlin, J. Wood, M. Ajello, M. Arimoto, L. Baldini, J. Ballet, M. G. Baring, D. Bastieri, J. Becerra Gonzalez

Faculty Publications

We report the discovery of GRB 221009A, the highest flux gamma-ray burst (GRB) ever observed by the Fermi Gamma-ray Burst Monitor (Fermi-GBM). This GRB has continuous prompt emission lasting more than 600 s, which smoothly transitions to afterglow emission visible in the Fermi-GBM energy range (8 keV-40 MeV), and total energetics higher than any other burst in the Fermi-GBM sample. By using a variety of new and existing analysis techniques we probe the spectral and temporal evolution of GRB 221009A. We find no emission prior to the Fermi-GBM trigger time (t 0; 2022 October 9 at 13:16:59.99 UTC), indicating that …

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Science Diplomacy From The Global South: The Case Of Intergovernmental Science Organizations, Anna Lena Rüland, Nicolas Rüffin, Katharina Cramer, Prosper Ngabonziza, Manoj Saxena, Stefan Skupien Aug 2023

Science Diplomacy From The Global South: The Case Of Intergovernmental Science Organizations, Anna Lena Rüland, Nicolas Rüffin, Katharina Cramer, Prosper Ngabonziza, Manoj Saxena, Stefan Skupien

Faculty Publications

Intergovernmental science organizations (IGSOs) address many challenges of the 21st century. Several countries of the Global South have joined established IGSOs or have created new ones. Yet we know little about their interests in IGSOs. Our study addresses this blind spot by investigating which objectives Southern actors pursue in IGSOs and under which conditions they are likely to achieve their objectives. Using insights from three strands of literature, we compare four IGSOs with Southern participation: the European Organization for Nuclear Research, the International Thermonuclear Experimental Reactor, the Square Kilometer Array, and the African Lightsource. We show that countries of the …

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Unlocking The Potential Of Kinase Targets In Cancer: Insights From Canceromicsnet, An Ai-Driven Approach To Drug Response Prediction In Cancer, Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A. Stanfield, Ifeanyi K. Uche, Paul J.F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski Aug 2023

Unlocking The Potential Of Kinase Targets In Cancer: Insights From Canceromicsnet, An Ai-Driven Approach To Drug Response Prediction In Cancer, Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A. Stanfield, Ifeanyi K. Uche, Paul J.F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski

Faculty Publications

Deregulated protein kinases are crucial in promoting cancer cell proliferation and driving malignant cell signaling. Although these kinases are essential targets for cancer therapy due to their involvement in cell development and proliferation, only a small part of the human kinome has been targeted by drugs. A comprehensive scoring system is needed to evaluate and prioritize clinically relevant kinases. We recently developed CancerOmicsNet, an artificial intelligence model employing graph-based algorithms to predict the cancer cell response to treatment with kinase inhibitors. The performance of this approach has been evaluated in large-scale benchmarking calculations, followed by the experimental validation of selected …

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U-Net-Stn: A Novel End-To-End Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Zhengtong Yin, Xuan Liu, Xiaolu Li, Wenfeng Zheng Aug 2023

U-Net-Stn: A Novel End-To-End Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Zhengtong Yin, Xuan Liu, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Detecting changes in land cover is a critical task in remote sensing image interpretation, with particular significance placed on accurately determining the boundaries of lakes. Lake boundaries are closely tied to land resources, and any alterations can have substantial implications for the surrounding environment and ecosystem. This paper introduces an innovative end-to-end model that combines U-Net and spatial transformation network (STN) to predict changes in lake boundaries and investigate the evolution of the Lake Urmia boundary. The proposed approach involves pre-processing annual panoramic remote sensing images of Lake Urmia, obtained from 1996 to 2014 through Google Earth Pro Version 7.3 …

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Object-Oriented Remote Sensing Approaches For The Detection Of Terrestrial Impact Craters As A Reconnaissance Survey, Habimana Emmanuel, Jaehyung Yu, Lei Wang, Sung Hi Choi, Digne Edmond Rwabuhungu Rwatangabo Aug 2023

Object-Oriented Remote Sensing Approaches For The Detection Of Terrestrial Impact Craters As A Reconnaissance Survey, Habimana Emmanuel, Jaehyung Yu, Lei Wang, Sung Hi Choi, Digne Edmond Rwabuhungu Rwatangabo

Faculty Publications

The purpose of this study is to employ a remote sensing reconnaissance survey based on optimal segmentation parameters and an object-oriented random forest approach to the identification of possible terrestrial impact craters from the global 30-m resolution SRTM DEM. A dataset consisting of 94 confirmed and well-preserved terrestrial impact craters, 104 volcanic calderas, and 124 valleys were extracted from real-world surface features. For craters with different sizes, eight optimal scale parameters from 80 to 3000 have been identified using multi-resolution segmentation, where the scale parameters have a positive correlation (R2 = 0.78) with the diameters of craters. The object-oriented random …

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Thermophysical Properties Of Additively Manufactured (Am) Grcop-42 And Grcop-84, Yehong Chen, Congyuan Zeng, Huan Ding, Selami Emanet, Paul R. Gradl, David L. Ellis, Shengmin Guo Aug 2023

Thermophysical Properties Of Additively Manufactured (Am) Grcop-42 And Grcop-84, Yehong Chen, Congyuan Zeng, Huan Ding, Selami Emanet, Paul R. Gradl, David L. Ellis, Shengmin Guo

Faculty Publications

Additive manufacturing (AM) has enabled new opportunities of high-performance alloys for use in complex components across the aerospace, industrial, automotive, and energy industries. These industries have growing interest in copper alloys and AM for high-performance heat exchangers such as rocket engine combustion chambers. GRCop copper alloys, such as GRCop-84 (Cu-8Cr-4 Nb at%) and GRCop-42 (Cu-4Cr-2 Nb at%), have high thermal conductivity and high mechanical properties at elevated operating temperatures. In this paper, thermophysical properties for GRCop-84 and GRCop-42 produced using laser powder bed fusion (L-PBF) are examined. While L-PBF parameters and resulting microstructures can be achieved in a laboratory environment, …

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A Conceptual Investigation Of Transition To Self-Driven Turbidity Currents From Along-Shelf Current-Supported Turbidity Currents, Celalettin E. Ozdemir, Liangyi Yue, Haq Murad Nazari, George Xue, Samuel J. Bentley, Shuo Yang, Sayed O. Hofioni, Robert Forney, Saber Aradpour Aug 2023

A Conceptual Investigation Of Transition To Self-Driven Turbidity Currents From Along-Shelf Current-Supported Turbidity Currents, Celalettin E. Ozdemir, Liangyi Yue, Haq Murad Nazari, George Xue, Samuel J. Bentley, Shuo Yang, Sayed O. Hofioni, Robert Forney, Saber Aradpour

Faculty Publications

Wave- and current-supported turbidity currents (WCSTCs) are one of the sediment delivery mechanisms from the inner shelf to the shelf break. Therefore, they play a significant role in the global cycles of geo-chemically important particulate matter. Recent observations suggest that WCSTCs can transform into self-driven turbidity currents close to the continental margin. However, little is known regarding the critical conditions that grow self-driven turbidity currents out of WCSTCs. This is in part due to the knowledge gaps in the dynamics of WCSTCs regarding the role of density stratification. Especially the effect of sediment entrainment on the amount of sediment suspension …

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