Digital Commons Network^™

The Uses Of Right Heart Catheterization In Cardio-Pulmonary Disease: State-Of-The-Art, Bhavesh Katbamna, Lingling Wu, Mario Rodriguez, Phillip King, Joel Schilling, Jamal Mahar, Ajith P Nair, Hani Jneid, Elizabeth S Klings, Gerald L Weinhouse, Sula Mazimba, Marc A Simon, Markus Strauss, Chayakrit Krittanawong

Faculty, Staff and Students Publications

The right heart catheterization (RHC) remains an important diagnostic tool for a spectrum of cardiovascular disease processes including pulmonary hypertension (PH), shock, valvular heart disease, and unexplained dyspnea. While it gained widespread utilization after its introduction, the role of the RHC has evolved to provide valuable information for the management of advanced therapies in heart failure (HF) and cardiogenic shock (CS) to name a few. In this review, we provide a comprehensive overview on the indications, utilization, complications, interpretation, and calculations associated with RHC.

Baroreflex Function In Cardiovascular Disease, Husam M Salah, Richa Gupta, Albert J Hicks, Kiran Mahmood, Nicholas A Haglund, Amarinder S Bindra, Steve M Antoine, Rachel Garcia, Amin Yehya, Dmitry M Yaranov, Pujan P Patel, Jason P Feliberti, Allman T Rollins, Vishal N Rao, Laurie Letarte, Vikram Raje, Amit H Alam, Patrick Mccann, Nirav Y Raval, Brian Howard, Marat Fudim

Faculty, Staff and Students Publications

The baroreflex system is involved in modulating several physiological functions of the cardiovascular system and can modulate cardiac output, blood pressure, and cardiac electrophysiology directly and indirectly. In addition, it is involved in regulating neurohormonal pathways involved in the cardiovascular function, such as the renin-angiotensin-aldosterone system and vasopressin release. Baroreflex dysfunction is characterized by sympathetic overactivation and parasympathetic withdrawal and is associated with several cardiovascular diseases, such as hypertension, heart failure, and coronary artery disease. Targeting the baroreflex system via invasive (eg, baroreflex activation therapy and endovascular baroreceptor amplification) and noninvasive approaches (eg, slow breathing exercises and exercise training) has …

Mice With Lymphatic Dysfunction Develop Pathogenic Lung Tertiary Lymphoid Organs That Model An Autoimmune Emphysema Phenotype Of Copd, Barbara Summers, Kihwan Kim, Anjali Trivedi, Tyler M Lu, Sean Houghton, Jade Palmer-Johnson, Joselyn Rojas-Quintero, Juan Cala-Garcia, Tania Pannellini, Francesca Polverino, Raphaël Lis, Hasina Outtz Reed

Faculty, Staff and Students Publications

We have previously shown that mice with a loss of C-type lectin-like type II (CLEC2), which have lymphatic dysfunction due to the role of CLEC2 in platelets for maintaining separation between the venous and lymphatic system, develop lung tertiary lymphoid organ (TLO) formation and lung injury that resembles an emphysema phenotype of chronic obstructive pulmonary disease (COPD). We now sought to investigate whether and how TLOs in these mice may play a pathogenic role in lung injury that is relevant to human disease. We found that inhibiting TLO formation using an anti-CD20 antibody in CLEC2-deficient mice partially blocked the development …

Advancing Narcolepsy Advocacy: Bridging Patient Narratives And Systemic Change, Ahmed Salem Bahammam, Lindsay Jesteadt, Hamza Dhafar, Amir Sharafkhaneh

Faculty, Staff and Students Publications

We introduce the Stigma-to-Structure Advocacy Framework, a novel, evidence-based model designed to transform narcolepsy advocacy by systematically bridging patient narratives with structural change. Narcolepsy remains a profoundly underdiagnosed and misunderstood neurological disorder, with persistent diagnostic delays and pervasive cultural stigma undermining patient well-being and access to care. Despite recent progress in awareness and support, advocacy efforts remain fragmented and insufficiently integrated with health policy, particularly in low- and middle-income countries. This perspective advances a strategic evolution of narcolepsy advocacy through the Stigma-to-Structure Advocacy Framework, which is anchored in three pillars: narrative-driven awareness, clinical system integration, and policy activation. Drawing on …

Gut Microbial Community Structure Of The Adult Citrus Root Weevil Diaprepes Abbreviatus, Imilce A Rodriguez-Fernandez, Tasha M Santiago-Rodriguez, Paola G Figueroa-Pratts, Keislamarí Cintrón-Berríos, Nichole D Rodriguez-Cornier, Gary A Toranzos

Faculty, Staff and Students Publications

Diaprepes abbreviatus is an agricultural pest known to affect around 270 plant species across the Caribbean and the United States, posing significant challenges to pest management. Chemical control dominates management, but environmental and health concerns motivate microbiome-informed alternatives. However, limited information exists on the gut anatomy, physicochemical environment, and microbial composition of D. abbreviatus. In this study, we provide the first comprehensive characterization of the gut morphology, pH, and microbiota of adult D. abbreviatus in both females and males collected in Puerto Rico. Using dye-based gut tracing, we identified foregut, midgut, and hindgut or posterior gut compartments, and confirmed the …

Relationships Of Personality Traits With The Taxonomic Composition Of The Gut Microbiome Among Psychiatric Inpatients, William Orme, Sandra L Grimm, Divya S N Vella, J Christopher Fowler, B Christopher Frueh, Benjamin L Weinstein, Joseph Petrosino, Cristian Coarfa, Alok Madan

Faculty, Staff and Students Publications

Objective: Through the brain-gut-microbiome axis, myriad psychological functions that affect behavior share a dynamic, bidirectional relationship with the intestinal microbiome. Little is known about the relationship between personality-a stable construct that influences social- and health-related behaviors-and the bacterial ecosystem. The authors of this exploratory study examined the relationship between general and maladaptive personality traits and the composition of the gut microbiome.

Methods: In total, 105 psychiatric inpatients provided clinical data and fecal samples. Personality traits were measured with the five-factor model of personality, the Structured Clinical Interview for DSM-IV Axis II Personality Disorders, and the Personality Inventory for DSM-5; 16S …

Promoting Angiogenesis/Osteogenesis By A New Copper/Magnesium Hydroxide Hybrid Nanoparticle: In Vitro And In Vivo Investigation, Parsa Khalkhali, Meisam Omidi, Daniela S. Masson-Meyers, Babak Akbari, Mohammad Mehdi Dehghan, Hossein Aminianfar, Saeed Farzad-Mohajeri, Van Mansouri, Lobat Tayebi

School of Dentistry Faculty Research and Publications

In this study, a new hybrid nanoparticle composed of magnesium hydroxide and copper oxide (Mg(OH)2/CuO) with an optimized ratio of magnesium (Mg) to copper (Cu) was designed and incorporated into a 3D-printed scaffold made of polycaprolactone (PCL) and gelatin. These hybrid nanostructures (MCNs) were prepared using a green, solvent-free method. Their topography, surface morphology, and structural properties were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS). The fabricated 3D-printed PCL/Gelatin/MCN scaffolds were investigated in vitro and in vivo. Cell viability tests on murine calvarial preosteoblasts (MC3T3-E1) and human umbilical vein …

The Utility Of Brain Biomarkers In Predicting Survival And Neurological Outcomes In Pediatric Patients After Cardiac Arrest: A Systematic Review And Meta-Analysis, Halla Kamińska, Krzysztof Kurek, Michał Zembala, Sagar Galwankar, Monika Tomaszewska, Shraddha Singh, Nicola Luigi Bragazzi, Michał Pruc, Basar Cander, Francesco Chirico, Amelia Rizzo, Jacek Kubica, Ayman El-Menyar, Anne Lepetit, Pawel Patrzylas, Zubaid Rafique, W Frank Peacock, Łukasz Szarpak

Faculty, Staff and Students Publications

Background: Cardiac arrest in children is associated with high morbidity and mortality, primarily due to neurological injury. Biomarkers linked to brain injury, released into circulation from compromised elements of the neurovascular unit, act as significant prognostic indicators in patients suffering from hypoxic-ischemic brain injury (HIBI) subsequent to the restoration of spontaneous circulation (ROSC) after pediatric cardiac arrest. The aim of this systematic review and meta-analysis is to evaluate the prognostic utility of brain injury biomarkers in predicting neurological outcomes and survival in patients following cardiac arrest in the pediatric population.

Methods: Bibliographic databases (PubMed, the Cochrane Library, and Embase) were …

Diagnostic And Prognostic Value Of Cystatin C In Acute Coronary Syndrome: An Up-To-Date Meta-Analysis, Michal Pruc, Damian Swieczkowski, Basar Cander, Milosz J Jaguszewski, Sagar Galwankar, Salvatore Di Somma, Fatimah Lateef, Indrani Sardesai, Ayman El-Menyar, Michal Zembala, Jacek Kubica, Togay Evrin, Burak Katipoglu, Zubaid Rafique, Frank William Peacock, Lukasz Szarpak

Faculty, Staff and Students Publications

Background: The role of Cystatin C (CysC) in the diagnosis and prognosis of cardiovascular disease, particularly acute coronary syndrome (ACS), is increasingly significant. The goal of this meta-analysis was to assess the diagnostic and prognostic value of CysC in patients with ACS, as well as its association with major adverse cardiovascular events (MACE), defined as mortality, myocardial infarction, heart failure, and stroke.

Methods: The present study is a systematic review and meta-analysis. Using PubMed, Web of Science, Cochrane Library, and Embase, a literature review of cohort and case control studies reporting MACE and using the terms ACS and Cystatin C …

Prognostic Value Of The Monocyte-To-High-Density Lipoprotein-Cholesterol Ratio In Acute Coronary Syndrome Patients: A Systematic Review And Meta-Analysis, Michał Pruc, Jacek Kubica, Maciej Banach, Damian Świeczkowski, Zubaid Rafique, William Frank Peacock, Zbigniew Siudak, Stanisław Surma, Prabath Nanayakkara, Krzysztof Kurek, Anne Lepetit, Łukasz Szarpak

Faculty, Staff and Students Publications

Background: Globally, diseases of the cardiovascular system stand as principal contributors to mortality and are expected to show an upward trajectory. The occurrence of acute coronary syndrome (ACS) has been linked to underlying inflammatory processes. The monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) has garnered significant attention as a prognostic biomarker, encapsulating the synergistic roles of inflammation and lipid metabolism in the pathophysiology of cardiovascular diseases, including ACS.

Aims: This meta-analysis examines the prognostic MHR ratio in ACS patients.

Methods: We systematically searched PubMed, Embase, Scopus, Web of Science, and the Cochrane Library databases to identify the relevant meta-analyses published before February 26, …

‘Antibiotics Are Like Gold’: A Qualitative Study Of Patient Perspectives On The Use Of Antibiotics Without A Prescription, Lindsey A Laytner, Patricia Chen, Barbara Wells Trautner, Susan Nash, Ashley Collazo, Fabrizia Faustinella, Kiara Olmeda, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Larissa Grigoryan

Faculty, Staff and Students Publications

Background: Using antibiotics without a prescription (non-prescription use) is common in the USA and contributes to antibiotic misuse, potentially harming individuals and threatening public health. At the individual level, safety issues related to non-prescription use include adverse drug reactions and disruption of healthy microbiomes. At the public health level, non-prescription use increases the risk of antimicrobial resistance.

Objectives: This qualitative study explored the reasons and motivations underlying non-prescription use among adult outpatients with varying healthcare coverage and education.

Methods: We used purposive sampling to recruit participants who endorsed using non-prescription antibiotics in a larger quantitative survey. Participants were patients recruited …

Analysis Of 1,25-Dihydroxyvitamin D Genomic Action In Human Enteroids And Colonoids Reveals Multiple Regulatory Effects Of Vitamin D In Human Intestinal Physiology, Zachary K Criss, Kali Deans-Fielder, James C Fleet, Sylvia Christakos, Noah Shroyer

Faculty, Staff and Students Publications

Introduction: The intestine has molecular and functional diversity across the proximal-distal and the crypt-villus axes, so it is imperative to determine the common and compartment-specific molecular actions of vitamin D. However, very little work on vitamin D mediated gene regulation has been done in normal human intestine. Here, we examined the impact of 1,25-dihydroxyvitamin D (1,25(OH)2D3) on cultures of human intestinal epithelium derived from duodenum (Dd) and distal colon (Co) biopsies of 6 subjects per tissue.

Methods: Human enteroids and colonoids were cultured for 3 days to promote a stem cell phenotype (undifferentiated, Un) or to induce differentiation (Diff) and …

Vascularized Iliac Crest Bone Graft For The Reconstruction Of Anterior Vertebral Corpus Defects: A Literature Review And Cadaveric Feasibility Study, Jonathan L Jeger, Casey J Martinez, Maria Shvedova, Alec Simoni, Alanna Rebecca, Sebastian Winocour, Alexander E Ropper, Michael Bohl, William J Casey, Maziyar Kalani, Edward M Reece

Faculty, Staff and Students Publications

BACKGROUND: Vertebral body defects pose a significant challenge in spinal reconstructive surgery. Compression fractures of the vertebral corpus are typically treated with vertebral augmentation procedures. There are significant risks associated with the introduction of foreign material in the spine, including infection and pseudarthrosis. Vascularized bone grafts (VBGs) have become a popular alternative for spinal reconstruction in the last decade thanks to their robust blood supply and autologous nature. VBGs have been described predominantly for the reconstruction of posterior vertebral defects. The objective of this study is to describe a novel procedure for the reconstruction of vertebral corpus defects in the …

Clinical Relapse Versus Treatment Failure: The Case For Surveillance For Re-Appearance Of Minimal Measurable Disease In Pediatric Patients With Higher Risk B-All, Paul S. Gaynon, Linwei Li

School of Medicine Publications

No abstract provided.

Impact Of Methicillin-Resistant Staphylococcus Aureus Surveillance And Decolonization In The Nicu: The Texas Children’S Hospital Experience, Nahid Hiermandi, Catherine Foster, Judith Campbell, Krystal Purnell, Elizabeth Tocco, Tjin Koy, Kenneth Nobleza, Duc Nguyen, Lucila Marquez

Faculty, Staff and Students Publications

OBJECTIVE: To determine the impact of screening and decolonization on methicillin-resistant

STUDY DESIGN: This is a single-center retrospective cohort study comparing patient characteristics among MRSA-colonized and MRSA-infected infants, rates of MRSA infection before and after screening with targeted decolonization, and MRSA infection among those receiving single or combined decolonization agents.

SETTING: Texas Children's Hospital Pavilion for Women is a 42-bed level three neonatal intensive care units (NICU) in Houston, TX.

PATIENTS: Neonates admitted to the NICU from 2012 to 2022 were included in analysis of MRSA colonization and infection. The gestational age ranged from 22 weeks to 42 weeks.

INTERVENTIONS: …

Comparative Analysis Of Aav Serotypes For Transduction Of Olfactory Sensory Neurons, Benjamin D W Belfort, Johnathan D Jia, Alexandra R Garza, Anthony M Insalaco, J P Mcginnis, Brandon T Pekarek, Joshua Ortiz-Guzman, Burak Tepe, Hu Chen, Ascent-Pd Investigators, Zhandong Liu, Benjamin R Arenkiel

Faculty, Staff and Students Publications

Olfactory sensory neurons within the nasal epithelium detect volatile odorants and relay odor information to the central nervous system. Unlike other sensory inputs, olfactory sensory neurons interface with the external environment and project their axons directly into the central nervous system. The use of adeno-associated viruses to target these neurons has garnered interest for applications in gene therapy, probing olfactory sensory neuron biology, and modeling disease. To date, there is no consensus on the optimal AAV serotype for efficient and selective transduction of olfactory sensory neurons

Macrowire For Intracranial Thrombectomy: An Early Experience Of A New Device And Technique For Anterior Circulation Large Vessel Occlusion Stroke, Kaustubh Limaye, Sami Al Kasab, Jaidevsinh Dolia, Mohamad Ezzeldin, Daniel Vela Duarte, Vinodh Doss, Sourabh Lahoti, David Hasan, Alejandro Spiotta, Ameer E. Hassan

School of Medicine Publications

Background and Purpose

Mechanical thrombectomy (MT) has become the standard of care for treatment of acute ischemic stroke secondary to large vessel occlusion up to 24 h from the last known normal time. With ADAPT and SOLUMBRA techniques, classically, a large bore aspiration catheter is delivered over a microcatheter and microwire crossing the clot to perform thrombectomy. Recently, a novel macrowire (Colossus 035 in.) has been introduced as a potential alternative to the use of microwire-microcatheter to allow the delivery of the aspiration catheter (ID = 0.070 in. up to 0.088 in.) over a macrowire alone.

Objective

To test the …

Mapping Biomedical Ontology Terms To Ids: Effect Of Domain Prevalence On Prediction Accuracy, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

This study evaluates the ability of large language models (LLMs) to map biomedical ontology terms to their corresponding ontology IDs across the Human Phenotype Ontology (HPO), Gene Ontology (GO), and UniProtKB terminologies. Using counts of ontology IDs in the PubMed Central (PMC) dataset as a surrogate for their prevalence in the biomedical literature, we examined the relationship between ontology ID prevalence and mapping accuracy. Results indicate that ontology ID prevalence strongly predicts accurate mapping of HPO terms to HPO IDs, GO terms to GO IDs, and protein names to UniProtKB accession numbers. Higher prevalence of ontology IDs in the biomedical …

Online Learning-Driven Human Intent Estimation And Control For Human-Robot Interaction, Irfan Ganie, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel Stackelberg-game theoretic multilayer-online learning framework for cooperative control of nonlinear Physical Human-Robot Interaction (pHRI), where the human is modeled as the leader guiding a robot follower. This hierarchical interaction is captured as a dynamic Stackelberg game, with the human's intention estimated in real-time through online multilayer neural networks (MNNs). We introduce SVD-based weight update laws for actor-critic MNNs, which approximate value functions and control inputs for both human and robot, eliminating the need for predefined basis functions. In this framework, the human objective is first inferred and used to guide the robot actions by shaping …

Multi-Model Safe Neuro-Optimal Output Tracking Control Of Autonomous Surface Vessels With Explainable Ai, Behzad Farzanegan, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a safety-aware deep reinforcement learning (DRL)-based trajectory tracking control of autonomous surface vessels (ASVs). A multilayer neural network (MNN) observer estimates the ASV's state and uncertain dynamics. By utilizing the estimate state vector from the observer, a safety-aware DRL-based optimal policy is formulated using control barrier function (CBF) and Karush-Kuhn-Tucker (KKT) conditions. An actor-critic MNN with singular value decomposition (SVD)-based update mitigates vanishing gradients. To enhance adaptability, an online safe lifelong learning (SLL) scheme counters catastrophic forgetting across varying ASV dynamics. The Shapley Additive Explanations (SHAP) method identifies key features influencing the control policy. Simulations on an …

Online Adaptive Optimal Tracking Control Of Uncertain Strict Feedback Discrete-Time Systems With Hardware Verification Using A Quadrotor Uav, Maxwell Geiger, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article considers the infinite time horizon optimal tracking control problem for discrete time (DT) partially uncertain strict feedback systems with application to quadrotor UAVs. First, the strict feedback DT system is transformed into an equivalent affine nonlinear DT system in terms of tracking error dynamics. The optimal tracking control problem is solved using an augmented system approach, where a horizon of future reference trajectory points are used in the augmented state, as compared to using a single point. The internal dynamics of the original nonlinear strict feedback system and the transformed affine system in terms of error dynamics are …

Enhancing Measurement Accuracy In Industrial Applications: The Impact Of Sensor Data Imputation On Model Parameter Estimation, Steven Thompson, Michkath Omanda Bouraima, Maciej Jan Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

Digital twins are meant to revolutionize the manufacturing industry by enabling advanced condition monitoring and predictive maintenance processes. However, disruptions within the manufacturing process, such as sensor malfunctions or connectivity issues are inevitable and will cripple these advanced analysis methods if not properly addressed. Therefore, efficient data management and analysis practices are key to advancing this technology. This work examines the impact of missing data imputation on model parameter estimation, a crucial task in developing models for digital twins. We theoretically derive the Cramer-Rao Lower Bound (CRLB) for a DC signal with an unknown scalar parameter in the presence of …

Active Microwave-Thermographic Signal Reconstruction, Logan M. Wilcox, Emma T. Bohannon, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a coupled electromagnetic (EM) and thermographic nondestructive testing and evaluation (NDT&E) technique. AMT utilizes a radiating EM source (e.g., an antenna) that induces dielectric/magnetic heating on a specimen under test (SUT) which is subsequently spatiotemporally imaged with an infrared (IR) camera. As all antennas have spatial variation in their radiated power density, a nonuniform thermal excitation results within (or on the surface of) the SUT. This nonuniform heating causes uncertainty in defect detection and has the potential to lead to false positives and/or negatives. To this end, thermographic signal reconstruction (TSR), a well-established thermographic signal …

Enhancing Fiber Optic Interferometric Sensing With Microwave Photonics-Based Dispersion Fourier Transform And Integrated Magnitude–Phase Analysis, Chen Zhu, Ruimin Jie, Chenxi Huang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Fiber optic inline interferometers are widely used for high-precision sensing due to their sensitivity, compactness, and immunity to electromagnetic interference. Traditional optical spectral analysis methods suffer from limited dynamic range due to free spectral range (FSR) constraints, while microwave photonic filtering (MPF) techniques based on dispersion Fourier transform (DFT) provide an alternative by mapping optical signals into the radio frequency (RF) domain. However, conventional passband frequency tracking in MPF systems has limited sensitivity, and the recently demonstrated phase-based methods, though highly sensitive, are constrained by phase wrapping beyond 2π. In this work, we propose and experimentally demonstrate an integrated magnitude–phase …

A Cost-Effective Nilm Solution With Three-Point Labelling And Non-Causal Convolution Technique, Yanan Zhang, Gan Zhou, Yanjun Feng, Zhan Liu, Li Huang, Zhi Li, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Although deep learning is increasingly promising in the field of Non-Intrusive Load Monitoring (NILM) these days, the high costs of data recording and labelling represent a significant challenge for the training of supervised models. To address this, a cost-effective sequence-to-points NILM solution is proposed, integrating three-point labelling with non-causal convolution techniques. The approach introduces a semi-automatic labelling framework for obtaining NILM three-point data, which provides a low-cost data collection and labelling solution for large-scale applications. Then, a novel loss function combining coordinate loss and confidence loss is developed to address the positional misalignment and negative sample confusion in sequence-to-points scenario …

Distributed Sapphire Fiber Bragg Grating-Based Thermal Profiling Of Submerged Entry Nozzles, Farhan Mumtaz, Hanok W. Tekle, Bohong Zhang, Xiaodong Li, Sunday Abraham, Bryant Mathis, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This article focuses on the application of sapphire fiber Bragg gratings (FBGs) for instrumentation in submerged entry nozzles (SENs) within the steelmaking industry. The SEN is pivotal for transferring molten steel from a tundish to a mold, while preventing the infiltration of oxygen and nitrogen from the surrounding environment. Maintaining optimal flow conditions in the mold is crucial for ensuring casting process stability and maintaining high-quality steel. Sapphire FBG sensors have been instrumented in SENs to enable distributed thermal mapping for monitoring the health of the SEN. The optical sensor comprises three cascaded sapphire FBGs inscribed using femtosecond (FS) laser …

Filter Based Motor Control For Robotic Applications, Shuzan Kumar Sarkar, Noah Wilding, Shruti Pandey, Nicholas Hawkins, Michael L. Mcintyre

Electrical and Computer Engineering Faculty Research & Creative Works

Controlling coreless DC motor in the field of humanoid robotic application involves considering various surrounding electromagnetic environment interference and sudden change of load with parameters variation of motor dynamics which makes the system complex. This paper presents a filter-based control scheme for a coreless DC motor drive system using an H-bridge inverter as the input circuit of the motor which is easy to implement and cost effective. From the electromagnetic characteristics, the dynamic model of the motor along with the control scheme is implemented in the commercial software PLECS. Then the effectiveness of this approach is validated through simulations demonstrating …

A High Step-Up Soft-Switched Converter Based On Coupled Inductor And Current-Fed Voltage Multiplier, Koosha Choobdari Omran, Reza Beiranvand, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel non-isolated DC-DC converter that combines coupled inductor (CI) and voltage multiplier (VM) techniques is proposed. The leakage energy of the CI is effectively recycled, and soft-switching conditions are achieved for all switches and diodes. Resonance between the leakage inductor of the CI and VM capacitors provides soft-switching conditions, without requiring a separate resonant tank. The use of VM stages not only lowers the voltage stress on semiconductor components but also allows for the use of low-voltage-rated devices, leading to reduced conduction losses, lower cost, and improved efficiency. High voltage gain can be achieved by appropriately …

Balanced Benchmarking Of Zero-Shot And Rag Approaches For Biomedical Term Normalization, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

Normalization of medical concepts to an ontology is a key aspect of the natural language processing of biomedical text. It enables the mapping of medical expressions to standardized ontology terms and their identifiers, thereby enhancing the interoperability and computability of medical concepts. Although large language models (LLMs) can identify and standardize medical terms, they may struggle to accurately map ontology terms to their corresponding ontology identifiers. These challenges arise from the stochastic nature of LLMs, their limited exposure to uncommon ontology identifiers during training, and their lack of an integrated lookup mechanism. We generated test sets of synthetic terms to …

Comparison Of In Situ Plant Area Index And Remotely Sensed Leaf Area Index Of Northeastern American Deciduous, Mixed, And Coniferous Forests For Smapvex19-22, Christopher Cook, Laura Bourgeau-Chavez, Dorthea Vander Bilt, Mary E. Miller, Simon Kraatz, Michael H. Cosh, Victoria R. Kelly, Andreas Colliander

Michigan Tech Publications

Leaf Area Index (LAI) and Plant Area Index (PAI) are critical biophysical parameters for quantifying foliage density of crops and trees. As such they may also be effective metrics to estimate the impact of leafy vegetation on microwave signals, like the radiometer on board NASA’s Soil Moisture Active Passive (SMAP) satellite. This study presents a comprehensive analysis of PAI and LAI measurements acquired through in situ and remotely sensed (RS) methods in diverse forest ecosystems of northeastern America, including deciduous, mixed, and coniferous forests. We compare RS LAI and ground-truth PAI data to understand the variation between the RS LAI …