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Articles 151 - 180 of 3445

Full-Text Articles in Engineering

Comparative Study Of Mof's In Phosphate Adsorption, Eniya Karunamurthy Jan 2023

Comparative Study Of Mof's In Phosphate Adsorption, Eniya Karunamurthy

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High concentrations of phosphate are known to adversely affect the environment. Excess phosphate can lead to eutrophication that eventually fosters uncontrollable growth of aquatic plants and algae. This can result in depletion of oxygen content which adversely impacts underwater organism’s survival rates. Metal organic frameworks (MOFs) consist of organic linkers in conjunction with metal ions or clusters arranged within a crystalline structure. They are highly porous and have larger surface area due to their ability to possess extensive void spaces while remaining bulky in nature. MOFs can absorb phosphate from aqueous solutions. We have investigated the use of commercially available …

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Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens, James P. Maclennan Jan 2023

Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens, James P. Maclennan

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Deploying Mandatory Access Controls (MAC) is a popular way to provide host protection against malware. Unfortunately, current implementations lack the flexibility to adapt to emergent malware threats and are known for being difficult to configure. A core tenet of MAC security systems is that the policies they are deployed with are immutable from the host while they are active. This work looks at deploying a MAC system that leverages using encrypted security tokens to allow for redeploying policy configurations in real-time without the need to stop a running process. This is instrumental in developing an adaptive framework for security systems …

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Characterization Of Aerosol Jet Printed Silver Thin Films Sintered By A Scanning Laser, William A. Metzger Jan 2023

Characterization Of Aerosol Jet Printed Silver Thin Films Sintered By A Scanning Laser, William A. Metzger

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Direct write printing, which is part of additive manufacturing (AM) technology, offers unique capabilities that can complement traditional methods of electronics fabrication. Printing of electrical interconnects via aerosolization is one of the areas in AM that is very important in electronics fabrication. Post-print sintering is a critical step in printed electrical interconnects because it strongly influences the electrical resistivity of the interconnects. Interconnects require the lowest possible resistivity to achieve better performance. Thermal sintering is the most common technique employed in printed interconnects. However, it is limited to substrates that can handle the high temperature requirement for sintering. For polymers …

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Fault Diagnosis And Accommodation In Quadrotor Simultaneous Localization And Mapping Systems, Anthony J. Green Jan 2023

Fault Diagnosis And Accommodation In Quadrotor Simultaneous Localization And Mapping Systems, Anthony J. Green

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Simultaneous Localization and Mapping (SLAM) is the process of using distance measurements to points in the surrounding environment to build a digital map and perform localization. It has been observed that featureless environments like tunnels or straight hallways will cause positioning faults in SLAM. This research investigates the fault diagnosis and accommodation problem for a laser-rangefinder-based SLAM systems on a quadrotor. A potential solution of using optical flow as velocity estimate and an extended Kalman filter (EKF) to perform position estimation is proposed. A fault diagnosis method for detecting faults in positional SLAM data or optical flow velocity data is …

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Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung Jan 2023

Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung

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Calibration plays a critical role in the optimal performance of algorithms in digital beamforming arrays. Phase incoherency between elements results in poor beamforming with decreased gain and higher sidelobes, leading to a decrease in accuracy and sensitivity of measurements. A similar problem exists in performing multi-pass interferometric SAR (IFSAR) processing of SAR data stacks to generate topological maps of the scene, where phase errors translate to height errors. By treating each SAR image in the data stack like an element of a uniform linear array, this thesis explores several phase calibration techniques that can be used to calibrate digital beamforming …

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A Machine Learning Framework For Hypersonic Vehicle Design Exploration, Atticus Beachy Jan 2023

A Machine Learning Framework For Hypersonic Vehicle Design Exploration, Atticus Beachy

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The design of Hypersonic Vehicles (HVs) requires meeting multiple unconventional and often conflicting design requirements in a hostile, high-energy environment. The most fundamental difference between ordinary aerospace design and hypersonic flight is that the extreme conditions of hypersonic flight require parts to perform multiple functions and be tightly integrated, resulting in significant coupled effects. Critical couplings among the disciplines of aerodynamics, structures, propulsion, and thermodynamics must be investigated in the early stages of design exploration to reduce the risk of requiring major design changes and cost overruns later. In addition, due to a lack of validated test data within the …

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Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal Jan 2023

Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal

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Heart failure is a syndrome which effects a patient’s quality of life adversely. It can be caused by different underlying conditions or abnormalities and involves both cardiovascular and non-cardiovascular comorbidities. Heart failure cannot be cured but a patient’s quality of life can be improved by effective treatment through medicines and surgery, and lifestyle management. As effective treatment of heart failure incurs cost for the patients and resource allocation for the hospitals, predicting length of stay of these patients during each hospitalization becomes important. Heart failure can be classified into two types: left sided heart failure and right sided heart failure. …

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Bandgap Engineering Of 2d Materials And Its Electric And Optical Properties, Kumar Vishal Jan 2023

Bandgap Engineering Of 2d Materials And Its Electric And Optical Properties, Kumar Vishal

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Since their invention in 1958, Integrated Circuits (ICs) have become increasingly more complex, sophisticated, and useful. As a result, they have worked their way into every aspect of our lives, for example: personal electronic devices, wearable electronics, biomedical sensors, autonomous driving cars, military and defense applications, and artificial intelligence, to name some areas of applications. These examples represent both collectively, and sometimes individually, multi-trillion-dollar markets. However, further development of ICs has been predicted to encounter a performance bottleneck as the mainstream silicon industry, approaches its physical limits. The state-of-the-art of today’s ICs technology will be soon below 3nm. At such …

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Investigation Of Surface Roughness Effects On Additively Manufactured Metals Under Dynamic Loading, Rachel Elizabeth Tullis Jan 2023

Investigation Of Surface Roughness Effects On Additively Manufactured Metals Under Dynamic Loading, Rachel Elizabeth Tullis

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The as-printed surfaces of parts produced through laser powder bed fusion are significantly rougher than surfaces produced through traditional manufacturing processes. This increased roughness can have a significant impact on mechanical properties, with perhaps the most notable detriment in the fatigue life of the part. Therefore, the as-printed surface roughness in additively manufactured materials must be studied more extensively to determine its impact on fatigue performance. This work investigates the surface roughness of additively manufactured specimens through the investigation of processing parameters and their effects on surface roughness in metal additive manufacturing. Furthermore, the relationships between as-printed surface roughness and …

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Kv2.1 Dysfunction Underlies The Onset Of Symptoms In Sod1-G93a Mouse Model Of Als, Andrew J. Deutsch Jan 2023

Kv2.1 Dysfunction Underlies The Onset Of Symptoms In Sod1-G93a Mouse Model Of Als, Andrew J. Deutsch

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Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which targets motoneurons (MNs), yet underlying disease mechanisms are not well understood. Evaluating the intrinsic excitability of MNs in ALS could lead to a better understanding of mechanisms causing neurodegeneration. The SOD1-G93A (SOD) model is the most commonly studied animal model of ALS. However, past studies have shown highly conflicting results on SOD MN excitability. Interestingly, I show that depending on the level of membrane depolarization, SOD MNs show opposite results of both hyper- and hypo-excitability. This reveals that differences in the methodology of measuring excitability can heavily impact the study results. …

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Lipin1 Improves Membrane Integrity In Dystrophic Muscles Of Mdx Mice, Abdulrahman Jama Jan 2023

Lipin1 Improves Membrane Integrity In Dystrophic Muscles Of Mdx Mice, Abdulrahman Jama

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Duchenne muscular dystrophy (DMD) is an X-linked genetic disorder that affects 1 in 3500 male births worldwide. It is characterized by mutations in the dystrophin gene that results in the loss of functional dystrophin. Dystrophin deficiency leads to instability of the sarcolemma alongside increased inflammation, necrosis and fibrosis resulting in membrane rupture and eventual muscle fiber death. There are currently no effective treatments for DMD. Here we show that Lipin1 expression is significantly downregulated at the mRNA and protein levels in gastrocnemius muscle of mdx mice, the DMD mouse model. Lipin1 has a dual function as a phosphatidic acid phosphatase …

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Dna Instability At (Attct) Microsatellites In Human Cells, Venicia Alhawach Jan 2023

Dna Instability At (Attct) Microsatellites In Human Cells, Venicia Alhawach

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Microsatellites are short tandem repeats of DNA (1-9 nucleotides) that are unstable in the genome. They can expand and contract which leads to mutations and rearrangements that jeopardize genomic integrity. When encountered by a replication fork, repeats of these microsatellites can form non-B DNA structures which cause replication forks to stall and collapse eventually leading to double stranded breaks (DSBs) and replication stress. One form of repair of replication dependent DSBs happens via break induced replication (BIR), a highly mutagenic repair pathway. The main objective of this study is to understand how ATTCT pentanucleotide repeats affect replication and chromosomal instability …

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Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn Jan 2023

Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn

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As our world has become dependent upon software for nearly every aspect of modern society, software security has followed as an essential feature. The first line of defense against vulnerabilities is secure coding. While today’s programmers are carefully taught secure coding best practices, they can make mistakes or intentionally introduce vulnerable code. The traditional backstop to human errors and insider threats is the adoption of automated security analysis tools. These analysis tools have limitations. Static analysis suffers from high false positive rates that may cause annoyance and complacency among developers. Dynamic analysis can be difficult to set up and very …

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Microsatellite Induced Genomic Instability And Mutagenesis Through Break Induced Replication, Rujuta Yashodhan Gadgil Jan 2023

Microsatellite Induced Genomic Instability And Mutagenesis Through Break Induced Replication, Rujuta Yashodhan Gadgil

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Faithful DNA replication is essential to maintain genomic integrity. Compromises in this process are among the prime causes of cancer and other genetic disorders. Among several factors that can interfere with error-free DNA replication, the formation of non-B DNA structures by microsatellite sequences is critical. Microsatellites are 1-9 bp long tandem repetitive regions that can form secondary structures like hairpins, triplex, Gquadruplex etc. and undergo expansions due to replication fork stalling to cause several diseases. Hairpin forming microsatellites have been shown to induce DNA DSBs and lead to genetic instability and mutagenesis. The goal of this study is to understand …

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Developing An In Vitro Validated 3d In Silico Internal Carotid Artery Sidewall Aneurysm Model, Hang Yi, Zifeng Yang, Mark Johnson, Luke Bramlage, Bryan Ludwig Dec 2022

Developing An In Vitro Validated 3d In Silico Internal Carotid Artery Sidewall Aneurysm Model, Hang Yi, Zifeng Yang, Mark Johnson, Luke Bramlage, Bryan Ludwig

Mechanical and Materials Engineering Faculty Publications

Introduction: Direct quantification of hemodynamic factors applied to a cerebral aneurysm (CA) remains inaccessible due to the lack of technologies to measure the flow field within an aneurysm precisely. This study aimed to develop an in vitro validated 3D in silico patient-specific internal carotid artery sidewall aneurysm (ICASA) model which can be used to investigate hemodynamic factors on the CA pathophysiology. Methods: The validated ICASA model was developed by quantifying and comparing the flow field using particle image velocimetry (PIV) measurements and computational fluid dynamics (CFD) simulations. Specifically, the flow field characteristics, i.e., blood flowrates, normalized velocity profiles, flow streamlines, …

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Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor Nov 2022

Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor

Electrical Engineering Faculty Publications

The feasibility of a 220 - 330 GHz zero order axicon generated Bessel beam for corneal water content was explored. Simulation and experimental data from the 25-degree cone angle hyperbolic-axicon lens illuminating metallic spherical targets demonstrate a monotonically decreasing, band integrated, backscatter intensity for increasing radius of curvature from 7 - 11 mm, when lens reflector and optical axis are aligned. Further, for radii >= 9.5 mm, maximum signal was obtained with a 1 mm transverse displacement between lens and reflector optical axes arising from spatial correlation between main lobe and out of phase side lobes. Thickness and permittivity parameter …

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Hierarchical Structure And Properties Of The Bone At Nano Level, Farah Hamandi, Tarun Goswami Nov 2022

Hierarchical Structure And Properties Of The Bone At Nano Level, Farah Hamandi, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Bone is a highly hierarchical complex structure that consists of organic and mineral components represented by collagen molecules (CM) and hydroxyapatite crystals (HAC), respectively. The nanostructure of bone can significantly affect its mechanical properties. There is a lack of understanding how collagen fibrils (CF) in different orientations may affect the mechanical properties of the bone. The objective of this study is to investigate the effect of interaction, orientation, and hydration on atomic models of the bone composed of collagen helix (CH) and HAC, using molecular dynamics simulations and therefrom bone-related disease origins. The results demonstrate that the mechanical properties of …

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Residual Properties Of Silicone (Med-4719) Lead With Leads From Retrieved Devices, Anmar Salih, Tarun Goswami Nov 2022

Residual Properties Of Silicone (Med-4719) Lead With Leads From Retrieved Devices, Anmar Salih, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Leads are designed for in vivo applications, however, for a definite period of time. In-vivo environment affects the mechanical behavior of implantable devices, therefore, there is a need to evaluate the residual properties of implantable leads used with pacemakers, defibrillator and neuro-stimulators. Silicone (MED-4719) lead is widely used in cardiac implantable electronic devices made by different manufacturers. . We collected 150 devices (with or without leads) from Anatomical Gift Program of the Wright State University. The objective of this study was to investigate the residual properties of Silicone (MED-4719) lead with different in vivo exposure time and compare the properties …

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Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang Nov 2022

Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

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Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin Nov 2022

Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The ability of low intensity vibration (LIV) to combat skeletal decline in Duchenne Muscular Dystrophy (DMD) was evaluated in a randomized controlled trial. Twenty DMD boys were enrolled, all ambulant and treated with glucocorticoids (mean age 7.6, height adjusted Z scores [HAZ] of hip bone mineral density [BMD] −2.3). Ten DMD boys were assigned to stand for 10 min/d on an active LIV platform (0.4 g at 30 Hz), while 10 stood on a placebo device. Baseline and 14 month bone mineral content (BMC) and BMD of spine, hip, and total body were measured with DXA, and trabecular bone density …

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Machine Learning For Aiding Blood Flow Velocity Estimation Based On Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang Oct 2022

Machine Learning For Aiding Blood Flow Velocity Estimation Based On Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

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Traumatic Brain Injury Biomarkers, Simulations And Kinetics, Celeste Hicks, Akshima Dhiman, Chauntel Barrymore, Tarun Goswami Oct 2022

Traumatic Brain Injury Biomarkers, Simulations And Kinetics, Celeste Hicks, Akshima Dhiman, Chauntel Barrymore, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

This paper reviews the predictive capabilities of blood-based biomarkers to quantify traumatic brain injury (TBI). Biomarkers for concussive conditions also known as mild, to moderate and severe TBI identified along with post-traumatic stress disorder (PTSD) and chronic traumatic encephalopathy (CTE) that occur due to repeated blows to the head during one’s lifetime. Since the pathways of these biomarkers into the blood are not fully understood whether there is disruption in the blood–brain barrier (BBB) and the time it takes after injury for the expression of the biomarkers to be able to predict the injury effectively, there is a need to …

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Therapeutic Efficacies Of Nano Carriers In Delivering Drugs, Bailey Krueger, Taylor Frazier, Sheila Galbreath, Tarun Goswami Oct 2022

Therapeutic Efficacies Of Nano Carriers In Delivering Drugs, Bailey Krueger, Taylor Frazier, Sheila Galbreath, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The drug release rates of poorly soluble medications such as doxorubicin has been investigated in this paper. Since the drug was fixed, different carriers used to deliver it and their release rates compiled from literature were evaluated in this paper. Even though targeting of drugs is very important in drug delivery, it is not within the scope of this paper. However, functionalization of the carrier may provide this benefit, those constructs are included for comparison in terms of hybrid constructs. Dendrimer, micelles and hybrid constructs used in the delivery of doxorubicin compared in this paper with respect to carrier size …

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Therapeutic Efficacies Of Nano Carriers In Delivering Drugs, Bailey Krueger, Taylor Frazier, Sheila Galbreath, Tarun Goswami Oct 2022

Therapeutic Efficacies Of Nano Carriers In Delivering Drugs, Bailey Krueger, Taylor Frazier, Sheila Galbreath, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The drug release rates of poorly soluble medications such as doxorubicin has been investigated in this paper. Since the drug was fixed, different carriers used to deliver it and their release rates compiled from literature were evaluated in this paper. Even though targeting of drugs is very important in drug delivery, it is not within the scope of this paper. However, functionalization of the carrier may provide this benefit, those constructs are included for comparison in terms of hybrid constructs. Dendrimer, micelles and hybrid constructs used in the delivery of doxorubicin compared in this paper with respect to carrier size …

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Safe Zones In Hip-Implant Designs To Resist Dislocation, Himanshu Bhatt, Tarun Goswami Oct 2022

Safe Zones In Hip-Implant Designs To Resist Dislocation, Himanshu Bhatt, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Major contributing parameters to hip implant dislocation include preoperative, intra-operative and post-operative factors. Implant geometry are design as well as non-design related. Femoral and acetabular component design features causing dislocation and/or resisting it are elucidated. Twelve implants were designed during this investigation were analyzed for dislocation resistance. A safe zone, establishes combinations of implant dimensions, was analyzed for all the 12 implants where implants were dislocation resistant. Head diameters between 26 mm to 32 mm, neck diameters closer to 14 mm, and neck angle between 25 to 35º were examined to be the safest ranges for hip implant designs.

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Secure Mimo Communication System With Frequency Hopping Aided Ofdm-Dcsk Modulation, Wenduo Qiu, Yimu Yang, Yan Feng, Lin Zhang, Zhiqiang Wu Oct 2022

Secure Mimo Communication System With Frequency Hopping Aided Ofdm-Dcsk Modulation, Wenduo Qiu, Yimu Yang, Yan Feng, Lin Zhang, Zhiqiang Wu

Electrical Engineering Faculty Publications

In this paper, a multiple-input multiple-output (MIMO) communication system with frequency hopping (FH) aided orthogonal frequency division multiplexing differential chaotic shift keying (OFDM-DCSK) modulation is proposed. Our objective is to improve the security of MIMO communication system which is encoded by space time block coding (STBC). In order to combat the eavesdropping or malicious attacks due to the broadcast characteristics of wireless communication system, we propose to use DCSK and FH modules to encrypt the information, and hide the user data in the chaotic sequences, where the initial value of chaotic sequences and the method of generating FH module are …

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A Symmetric Matrix-Aided Mimo To Improve Reliability For Maritime Visible Light Communications, You Zhang, Yan Feng, Lin Zhang, Zhiqiang Wu Oct 2022

A Symmetric Matrix-Aided Mimo To Improve Reliability For Maritime Visible Light Communications, You Zhang, Yan Feng, Lin Zhang, Zhiqiang Wu

Electrical Engineering Faculty Publications

Turbulence in natural environments affects the reliability of communication. In this paper, we propose a symmetric matrix-assisted multiple-input multiple-output (MIMO) maritime visible light communication (VLC) system to confront turbulence and improve reliability. In our design, by exploiting the repeatability of elements in the symmetric matrix, the matrix can expand the Euclidean distance between signals and effectively restrains the interference between signals, thus improving the reliability of maritime VLC systems. In addition, we derive the theoretical symbol error rate (SER) of the proposed scheme. Then, simulation results are provided to validate the theoretical SER. In addition, the SER performances of the …

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Toward Mental Effort Measurement Using Electrodermal Activity Features, William Romine, Noah Schroeder, Tanvi Banerjee, Josephine Graft Sep 2022

Toward Mental Effort Measurement Using Electrodermal Activity Features, William Romine, Noah Schroeder, Tanvi Banerjee, Josephine Graft

Computer Science and Engineering Faculty Publications

The ability to monitor mental effort during a task using a wearable sensor may improve productivity for both work and study. The use of the electrodermal activity (EDA) signal for tracking mental effort is an emerging area of research. Through analysis of over 92 h of data collected with the Empatica E4 on a single participant across 91 different activities, we report on the efficacy of using EDA features getting at signal intensity, signal dispersion, and peak intensity for prediction of the participant's self-reported mental effort. We implemented the logistic regression algorithm as an interpretable machine learning approach and found …

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Leveraging Natural Learning Processing To Uncover Themes In Clinical Notes Of Patients Admitted For Heart Failure, Ankita Agarwal, Krishnaprasad Thirunarayan, William Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee Sep 2022

Leveraging Natural Learning Processing To Uncover Themes In Clinical Notes Of Patients Admitted For Heart Failure, Ankita Agarwal, Krishnaprasad Thirunarayan, William Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee

Computer Science and Engineering Faculty Publications

Heart failure occurs when the heart is not able to pump blood and oxygen to support other organs in the body as it should. Treatments include medications and sometimes hospitalization. Patients with heart failure can have both cardiovascular as well as non-cardiovascular comorbidities. Clinical notes of patients with heart failure can be analyzed to gain insight into the topics discussed in these notes and the major comorbidities in these patients. In this regard, we apply machine learning techniques, such as topic modeling, to identify the major themes found in the clinical notes specific to the procedures performed on 1,200 patients …

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Developing Scaling Laws To Predict Compressive Mechanical Properties And Determine Geometrical Parameters Of Modified Bcc Lattice Structures, Hasanain Abdulhadi, Abdalsalam Fadeel, Tahseen A. Alwattar, Ahsan Mian Sep 2022

Developing Scaling Laws To Predict Compressive Mechanical Properties And Determine Geometrical Parameters Of Modified Bcc Lattice Structures, Hasanain Abdulhadi, Abdalsalam Fadeel, Tahseen A. Alwattar, Ahsan Mian

Mechanical and Materials Engineering Faculty Publications

The objective of this study is to develop generalized empirical closed-form equations to predict the compressive mechanical properties and determine geometrical parameters. To achieve that, 117 models are built and analyzed using ABAQUS/CAE 2016 to provide two types of reliable data: one for lattice mechanical properties based on finite element method and the other for geometrical parameters using the measurements of ABAQUS diagnostic tool. All the models are created by modifying the basic feature of body-centered cubic lattice structure based on a range of strut angles, a set of relative densities, and two design sets. Also, the influence of lattice …

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