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Articles 20671 - 20700 of 198032
Full-Text Articles in Engineering
Graph Theory And Graph Neural Network Assisted High-Throughput Crystal Structure Prediction And Screening For Energy Conversion And Storage, Joshua Ojih, Mohammed Al-Fahdi, Yagang Yao, Jianjun Hu, Ming Hu
Graph Theory And Graph Neural Network Assisted High-Throughput Crystal Structure Prediction And Screening For Energy Conversion And Storage, Joshua Ojih, Mohammed Al-Fahdi, Yagang Yao, Jianjun Hu, Ming Hu
Faculty Publications
Prediction of crystal structures with desirable material properties is a grand challenge in materials research, due to the enormous search space of possible combinations of elements and their countless arrangements in 3D space. Despite the recent progress of a few crystal structure prediction algorithms, most of those methods only target a few specific material families or are restricted to simple systems with limited element diversity. Moreover, these algorithms are usually coupled with first principles calculations and thus are computationally expensive and very time consuming. Therefore, establishing a workflow that can generate a large number of hypothetical structures with diverse elements …
Raman Spectroscopy Of Gan On Si With Varied Thin Film Thickness For High-Temperature Semiconductor Devices, Manika Tun Nafisa
Raman Spectroscopy Of Gan On Si With Varied Thin Film Thickness For High-Temperature Semiconductor Devices, Manika Tun Nafisa
Symposium of Student Scholars
This study explores the potential of GaN on Si thin films as a promising material for high-temperature semiconductor devices, owing to its impressive thermal properties and performance characteristics. Two GaN on Si samples were grown using Metal Organic Chemical Vapor Deposition (MOCVD), with different film thicknesses, and their potential for high-temperature applications was comprehensively assessed by performing Raman spectroscopy at various temperature levels. The experimental results provided valuable insights into the material's behavior at elevated temperatures. At 300°C, the GaN E2 (High) peak showed a Raman shift at 562.38 cm⁻¹ for high-thickness samples and 561.49 cm⁻¹ for low-thickness samples. …
Temporospatial Deep Learning Strategies For Prediction Of Disease Progression In Radiology, John D. Mayfield
Temporospatial Deep Learning Strategies For Prediction Of Disease Progression In Radiology, John D. Mayfield
USF Tampa Graduate Theses and Dissertations
While the fields of machine learning and medicine are deeply rooted in axiomatic scientific principles, there is an element of art that makes the practice imperfect, yet innately human. As the two fields have seen the greatest overlap in their collective history, there remains a chasm between them in terms of practical translation for the patients who desire and deserve personalized medicine. As presented in this dissertation, I and my collaborators have contributed to the groundwork for future exploration of predicting disease progression by identifying signals within sequential medical imaging to provide a temporospatial relationship upon which we can make …
Mbe Growth Of Sb Based Alloys Using Interfacial Misfit Arrays For Mwir Devices, Fatih Furkan Ince
Mbe Growth Of Sb Based Alloys Using Interfacial Misfit Arrays For Mwir Devices, Fatih Furkan Ince
Optical Science and Engineering ETDs
This thesis explores the monolithic integration of antimonide based narrow bandgap semiconductors on commercially available substrates for mid-wave infrared (MWIR) devices. The research focuses on the integration and growth of antimonide based alloys using the interfacial misfit dislocation (IMF) arrays to enhance the cost efficiency, manufacturability and performance. The study particularly investigates the relaxation mechanisms of antimonide alloys on InAs and InP substrates, assessing the impact of mismatch strain on the quality of epilayers. The IMF arrays are examined using high-resolution transmission electron microscopy (HR-TEM) and x-ray diffraction (XRD), revealing information about the effective strain relief mechanisms behind IMF arrays …
Relative Vectoring Using Dual Object Detection For Autonomous Aerial Refueling, Derek B. Worth, Jeffrey L. Choate, James Lynch, Scott L. Nykl, Clark N. Taylor
Relative Vectoring Using Dual Object Detection For Autonomous Aerial Refueling, Derek B. Worth, Jeffrey L. Choate, James Lynch, Scott L. Nykl, Clark N. Taylor
Faculty Publications
Once realized, autonomous aerial refueling will revolutionize unmanned aviation by removing current range and endurance limitations. Previous attempts at establishing vision-based solutions have come close but rely heavily on near perfect extrinsic camera calibrations that often change midflight. In this paper, we propose dual object detection, a technique that overcomes such requirement by transforming aerial refueling imagery directly into receiver aircraft reference frame probe-to-drogue vectors regardless of camera position and orientation. These vectors are precisely what autonomous agents need to successfully maneuver the tanker and receiver aircraft in synchronous flight during refueling operations. Our method follows a common 4-stage process …
New Models For Estimating Minimum Miscibility Pressure Of Pure And Impure Carbon Dioxide Using Artificial Intelligence Techniques, Attia Attia, Ahmed Ashraf Soliman Eng., John Shahat Eng., Sayed Gomaa Prof., Fares Ashraf El Salamony Prof.
New Models For Estimating Minimum Miscibility Pressure Of Pure And Impure Carbon Dioxide Using Artificial Intelligence Techniques, Attia Attia, Ahmed Ashraf Soliman Eng., John Shahat Eng., Sayed Gomaa Prof., Fares Ashraf El Salamony Prof.
Petroleum Engineering and Gas
CO2 miscible flooding stands out as one of the most-commonly employed and promising processes in enhanced oil recovery. The key factor for ensuring success in designing and executing CO2 injection projects lies in the precise determination of the Minimum Miscibility Pressure (MMP). Despite significant research endeavors in measuring and predicting the MMP through the use of empirical, analytical, numerical, and experimental approaches, the need for a comprehensive, accurate, efficient, and easy-to-use model remains. In response to this gap, our study developed various predictive models with 205 datasets, including well-established ones such as Artificial Neural Network (ANN), Random Forest (RF), and …
Assessment Of Educational Facilities In Osogobo Metropolis Nigeria, Dele S. Ogundahunsi, Martins B. Gasu, Samuel B. Adedotun, Olayiwola Olayode, Akintayo O. Ojo, Christiana Olayode
Assessment Of Educational Facilities In Osogobo Metropolis Nigeria, Dele S. Ogundahunsi, Martins B. Gasu, Samuel B. Adedotun, Olayiwola Olayode, Akintayo O. Ojo, Christiana Olayode
CSID Journal of Infrastructure Development
This study assessed educational facilities in the Osogbo metropolis, Nigeria, aiming to evaluate the available educational facilities, examine student and staff satisfaction levels, and analyze their availability across schools in the area. The sample consisted of 476 schools, from which 73 were randomly selected. A multistage sampling procedure was employed to sample 1,863 pupils/students and 87 teachers for questionnaire administration, complemented by observation. Data were analyzed using Mean Weighted Average, Summation of Weighted Value, and Analysis of Variance. Findings showed that 63.4% of primary schools had the listed facilities, while 75% of secondary schools reported 81% availability. Public primary school …
Increasing The Dissolution Rate Of Polystyrene Waste In Solvent-Based Recycling, Rita Kol, Ruben Denolf, Gwendoline Bernaert, Dave Manhaeghe, Ezra Bar Ziv, George W. Huber, Norbert Niessner, Michiel Verswyvel, Angeliki Lemonidou, Dimitris S. Achilias, Steven De Meester
Increasing The Dissolution Rate Of Polystyrene Waste In Solvent-Based Recycling, Rita Kol, Ruben Denolf, Gwendoline Bernaert, Dave Manhaeghe, Ezra Bar Ziv, George W. Huber, Norbert Niessner, Michiel Verswyvel, Angeliki Lemonidou, Dimitris S. Achilias, Steven De Meester
Michigan Tech Publications
Solvent-based recycling of plastic waste is a promising approach for cleaning polymer chains without breaking them. However, the time required to actually dissolve the polymer in a lab environment can take hours. Different factors play a role in polymer dissolution, including temperature, turbulence, and solvent properties. This work provides insights into bottlenecks and opportunities to increase the dissolution rate of polystyrene in solvents. The paper starts with a broad solvent screening in which the dissolution times are compared. Based on the experimental results, a multiple regression model is constructed, which shows that within several solvent properties, the viscosity of the …
Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito
Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito
Progress in Scale Modeling, an International Journal
This article was written to introduce philosophical background of scale modeling, where Zen philosophy was applied to overcome the limitation of logical thinking and hypotheses-driven deductive science. Three specific reasons are as follows. The first is related to the law approach in scale modeling; it uses the kufu principle, originated in Zen Buddhism, together with the other three scientific methods: experimental, theoretical, and computational. The second reason is because scale modeling seeks relativistic understanding by attempting to realize similarity; the concept is closer to Eastern philosophy rather than absolute understanding cultivated by deductive science. The third is in the educational …
03.04.2024 Orsp Connect, Liz Williamson
03.04.2024 Orsp Connect, Liz Williamson
ORED Newsletter
ORSP On-demand Training for PIs, Liz Williamson spotlight, Grant for Studying Clean Energy Production Awarded, NIH Simplified Peer Review Framework.
Adsorption Of Crystal Violet Dye From Synthetic Wastewater By Ball-Milled Royal Palm Leaf Sheath, Neloy Sen, Nawrin Rahman Shefa, Kismot Reza, Sk Md Ali Zaker Shawon, Md. Wasikur Rahman
Adsorption Of Crystal Violet Dye From Synthetic Wastewater By Ball-Milled Royal Palm Leaf Sheath, Neloy Sen, Nawrin Rahman Shefa, Kismot Reza, Sk Md Ali Zaker Shawon, Md. Wasikur Rahman
Physics & Astronomy Faculty Publications
The current study shows that using a batch approach to remove crystal violet dye from synthetic wastewater is feasible when using royal palm leaf sheath powder as an adsorbent. In order to investigate the effects of many parameters, including starting concentration, pH effect, dye concentration, adsorbent dose, contact time, and temperature, experiments were carried out under various operating conditions. Maximum removal was obtained at pH 6 and at a concentration of 100 ppm, which are considered as ideal values. The influence of pH and dye concentration was shown to be substantial. Langmuir, Freundlich, and Temkin isotherm models were fitted to …
Machine Learning A Universal Harmonic Interatomic Potential For Predicting Phonons In Crystalline Solids, Huiju Lee, Yi Xia
Machine Learning A Universal Harmonic Interatomic Potential For Predicting Phonons In Crystalline Solids, Huiju Lee, Yi Xia
Mechanical and Materials Engineering Faculty Publications and Presentations
Phonons, as quantized vibrational modes in crystalline materials, play a crucial role in determining a wide range of physical properties, such as thermal and electrical conductivity, making their study a cornerstone in materials science. In this study, we present a simple yet effective strategy for deep learning harmonic phonons in crystalline solids by leveraging existing phonon databases and state-of-the-art machine learning techniques. The key of our method lies in transforming existing phonon datasets, primarily represented in interatomic force constants, into a force-displacement representation suitable for training machine learning universal interatomic potentials. By applying our approach to one of the largest …
How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal
How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal
The Qualitative Report
Qualitative researchers can benefit from using generative artificial intelligence (GenAI), such as different versions of ChatGPT—GPT-3.5 or GPT-4, Google Bard—now renamed as a Gemini, and Bing Chat—now renamed as a Copilot, in their studies. The scientific community has used artificial intelligence (AI) tools in various ways. However, using GenAI has generated concerns regarding potential research unreliability, bias, and unethical outcomes in GenAI-generated research results. Considering these concerns, the purpose of this commentary is to review the current use of GenAI in qualitative research, including its strengths, limitations, and ethical dilemmas from the perspective of critical appraisal from South Asia, Nepal. …
Blow-Spun Hybrid Pcl-Peo/Hnts Scaffolds With Enhanced Biological And Mechanical Properties, Meichen Liu
Blow-Spun Hybrid Pcl-Peo/Hnts Scaffolds With Enhanced Biological And Mechanical Properties, Meichen Liu
Doctoral Dissertations
With the development of technology and engineering, nanotechnology has been a multidisciplinary scientific field applied in nearly all science areas, including medicine, genetics, food industry, robotics. In this respect, nanomedicine has gained increasing attention and been a useful, effective therapy for cancer diagnosis, gene transfer, and drug delivery. To design an ideal nano drug delivery system with controlled drug releasing and improved encapsulated drug’s pharmacokinetic and pharmacodynamic profiles, hydrogels and polymer composites have witnessed increased research interest during the last decades. Recently, numerous polymers have been studied to fabricate the ideal wound dressing with biocompatibility, biodegradability, porous structural, and suitable …
Development Of An Integrated Workflow For Nucleosome Modeling And Simulations, Ran Sun
Development Of An Integrated Workflow For Nucleosome Modeling And Simulations, Ran Sun
Doctoral Dissertations
Nucleosomes are the building blocks of eukaryotic genomes and thus fundamental to to all genetic processes. Any protein or drug that binds DNA must either cooperate or compete with nucleosomes. Given that a nucleosome contains 147 base pairs of DNA, there are approximately 4^147 or 10^88 possible sequences for a single nucleosome. Exhaustive studies are not possible. However, genome wide association studies can identify individual nucleosomes of interest to a specific mechanism, and today's supercomputers enable comparative simulation studies of 10s to 100s of nucleosomes. The goal of this thesis is to develop and present and end-to-end workflow that serves …
Selective Targeting Of Microglia By Quantum Dots And Green Synthesis Of Metal Organic Biohybrids; Applications In Dynamic Cell And Assay Systems, Navya Uppu
Doctoral Dissertations
Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting approximately 15% of the worldwide population. Part of the glioma microenvironment are microglia, resident immune cells of the CNS that were thought to be involved in the pathogenesis of diverse neurodegenerative diseases. Though it remains uncertain what triggers microglial activation in these disorders, targeting and tracking microglial functions using nanotools like Quantum Dots (QDs) could help us elucidate them in such neurological diseases. This research focuses on the comparative study of different QDs formulations and their selective uptake by brain microglia in primary cultures …
Development And Characterization Of Injectable, Cell-Encapsulated Chitosan-Genipin Hydrogels, Tyler R. Priddy-Arrington
Development And Characterization Of Injectable, Cell-Encapsulated Chitosan-Genipin Hydrogels, Tyler R. Priddy-Arrington
Doctoral Dissertations
Over 150,000 patients undergo lower extremity amputation every year in the United States, most commonly caused by complications due to diabetes mellitus, peripheral vascular disease, and trauma. Diseased or damaged tissues that are unable to naturally repair themselves must either be fully removed or replaced, otherwise the injuries can lead to further complications such as infection or death. Tissue resection and amputation, as forms of removing damaged tissue, are not favorable to patients as they can cause pain, reduce mobility, and negatively impact quality of life. However, replacing lost or damaged tissues with donor tissues carries the risks of tissue …
Integration Of Advanced Qualification Program Into Aviation Education, Jorge L. D. Albelo, Victor Fraticelli Rivera, Robert L. Thomas
Integration Of Advanced Qualification Program Into Aviation Education, Jorge L. D. Albelo, Victor Fraticelli Rivera, Robert L. Thomas
Journal of Aviation Technology and Engineering
The Federal Aviation Administration places aviation safety as a top priority, continuously striving to improve safety standards within the National Airspace System. In 2004, the Federal Aviation Administration introduced the Advanced Qualification Program (AQP) as an alternative methodology for pilot training and evaluation. This study explores the impact of AQP-centered aviation education on student performance, particularly in the context of learning advanced jet transport systems. The AQP model, based on aligning training with operational aviation requirements, emphasizes cognitive skill training and evaluation. Theoretical foundations underpinning this study include Karp’s integrated aviation learning model, which seamlessly integrates various instructional approaches, fostering …
Nanobiosensors As A New Diagnostic Approach For Alzheimer's Disease, Elsa Anna George, Jyothsna Manikkath
Nanobiosensors As A New Diagnostic Approach For Alzheimer's Disease, Elsa Anna George, Jyothsna Manikkath
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Carbon Dots For Drug Delivery And Diagnostic Applications, Sneha Bhat
Carbon Dots For Drug Delivery And Diagnostic Applications, Sneha Bhat
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Glucose- Functionalized Gold Nanoparticles In Lead Detection, Sharmila Nadumane, Nirmal Mazumder, Krishna Kishore Mahato, Rajib Biswas
Glucose- Functionalized Gold Nanoparticles In Lead Detection, Sharmila Nadumane, Nirmal Mazumder, Krishna Kishore Mahato, Rajib Biswas
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Towards Safer Nanomedicine: Embracing Safety-By-Design In Biomedical Research, Mugdha Kulkarni
Towards Safer Nanomedicine: Embracing Safety-By-Design In Biomedical Research, Mugdha Kulkarni
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Safe Use Of Nanomaterials: A Review On Nanotoxicity And Nanosafety, Punith Krishna Alahari
Safe Use Of Nanomaterials: A Review On Nanotoxicity And Nanosafety, Punith Krishna Alahari
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Nanotechnology In Food Science: Opportunities And Challenges, Raksha S Shettigar, Usha Yogendra Nayak
Nanotechnology In Food Science: Opportunities And Challenges, Raksha S Shettigar, Usha Yogendra Nayak
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Nanomechanics In Pharmaceutical Formulations, Neha Memane
Nanomechanics In Pharmaceutical Formulations, Neha Memane
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Nanobiorevolution In The Cosmos: Medicine's Quantum Leap To The Stars, Rishabh Agarwala, Ankitha Suresh, Bhisham Narayan Singh
Nanobiorevolution In The Cosmos: Medicine's Quantum Leap To The Stars, Rishabh Agarwala, Ankitha Suresh, Bhisham Narayan Singh
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Nanorobotics: Revolutionized Technology In Modern Science, Vidya Radhakrishna Prabhu, Usha Y Nayak
Nanorobotics: Revolutionized Technology In Modern Science, Vidya Radhakrishna Prabhu, Usha Y Nayak
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Volume Contractible Antimony-Bromide As Promising Negative Electrode For Libs, Ankit Dev Singh, Srijan Sengupta
Volume Contractible Antimony-Bromide As Promising Negative Electrode For Libs, Ankit Dev Singh, Srijan Sengupta
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
Development Of Novel, Reliable And Cost-Effective Aluminium-Nickel High-Capacity Intermetallic Batteries For Stationary Utility-Scale Energy Storage Applications, Ayan Dey, Srijan Sengupta
Development Of Novel, Reliable And Cost-Effective Aluminium-Nickel High-Capacity Intermetallic Batteries For Stationary Utility-Scale Energy Storage Applications, Ayan Dey, Srijan Sengupta
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.
High Purity Hydrogen Production Using Sorption Enhanced Steam Methane Reforming (Sesmr), Anvith Reddy Singireddy, M Mukunda Vani
High Purity Hydrogen Production Using Sorption Enhanced Steam Methane Reforming (Sesmr), Anvith Reddy Singireddy, M Mukunda Vani
International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'
No abstract provided.