Digital Commons Network^™

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Deep Learning Approach For Microwave Imaging Based On Deep Convolutional Asymmetric Encoder-Decoder Structure And Physics-Induced Loss, He Ming Yao, Shiji Song, Michael Kwok Po Ng, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we introduce an innovative deep learning (DL) methodology designed for real-time quantitative microwave imaging (MWI). Our approach is centered around the utilization of a deep convolutional asymmetric encoder-decoder structure (DCAEDS), which requires only a single-frequency far-field measurement of the electromagnetic (EM) scattered field as input and subsequently predicts the contrasts (permittivities) of the target materials. During the offline training process, we incorporate an EM forward solver specifically crafted to compute the EM scattered field generated by the predicted target contrasts (permittivities) produced by the DCAEDS. The DCAEDS is seamlessly integrated with this EM forward solver to optimize …

Femtosecond-Laser-Inscribed Cladding Fiber Bragg Gratings: Architectures, Design Trade-Offs And Future Sensing Opportunities, Koustav Dey, Rex E. Gerald, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Femtosecond (fs) laser inscription enables fiber Bragg gratings (FBGs) to be positioned beyond the fiber core, including within the cladding, thereby expanding control over modal interactions and directional sensing. These cladding fiber Bragg gratings (CLFBGs) extend FBG functionality through interactions with core, cladding, and evanescent fields. Their operation does not involve fundamentally different grating physics; rather, core-mode, cladding-mode, and coupled-mode responses depend on power distribution, modal overlap with the laser-inscribed refractive-index modulation (RIM), grating position, fiber geometry, modal excitation, and interrogation configuration. This Perspective reviews advances in CLFBG fabrication, optical characteristics, sensing mechanisms, and applications. Cladding-waveguide-assisted, evanescent-field-coupled, and direct cladding-mode-excitation …

Large Language Models For Neurology: A Mini Review, Donald C. Wunsch, Daniel B. Hier

Electrical and Computer Engineering Faculty Research & Creative Works

Large language models have the potential to transform neurology by augmenting diagnostic reasoning, streamlining documentation, and improving workflow efficiency. This Mini Review surveys emerging applications of large language models in Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy, with emphasis on ambient documentation, multimodal data integration, and clinical decision support. Key barriers to adoption include bias, privacy, reliability, and regulatory alignment. Looking ahead, neurology-focused language models may develop greater fluency in biomedical ontologies and FHIR standards, improving data interoperability and supporting more seamless collaboration between clinicians and AI systems. Two future developments have the potential to be particularly impactful: (1) …

Waveguide-Assisted Single-Mode Fiber Bragg Gratings In A Highly Multimode Coreless Fiber Via Femtosecond Laser Inscription For Extreme Temperature Quasi-Distributed Thermal Sensing, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a potential quasi-distributed thermal mapping optical sensing system for extreme temperatures, leveraging femtosecond (fs) laser inscribed single-mode fiber Bragg gratings (FBGs) and a waveguide within coreless, highly multimode optical fiber, resulting in a single-mode structure. Unlike doped single-mode fibers, coreless fibers composed of silica rods prevent issues associated with dopant migration and ensure data accuracy. The strategic placement of point-by-point FBGs in a cascaded formation on the fs-laser inscribed waveguide facilitates localized multipoint sensing. The long-term stability of the proposed waveguide-assisted FBG system was assessed over 24 hours at elevated temperatures (1000°C), showing no hysteresis during heating …

Distributed Temperature Sensing In The Spray-Cooled Shell Of A 150-Ton Dc Electric Arc Furnace Using Brillouin Optical Fiber Technology, Farhan Mumtaz, Yeshwanth Reddy Mekala, Koustav Dey, Rony Kumer Saha, Ogbole Collins Inalegwu, Manoj Kumar Pullagura, Bohong Zhang, Muhammad Roman, Nicholas Dionise, Zane Voss, Jeffrey D. Smith, Ronald J. O'Malley, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents the deployment and validation of a Brillouin - distributed temperature sensing (DTS) system for real-time thermal monitoring of the spray-cooled upper shell of a 150-ton direct current Electric Arc Furnace (DC EAF) at Big River Steel Plant, Osceola, AR, USA. A four-channel Brillouin DTS system from OZ Optics was employed, with one active channel instrumented using an in-house-fabricated Brillouin scattering-depressed single-mode optical fiber (SMF28e+). The 60 m optical fiber sensor was fabricated, with 20 m allocated for thermal measurement and 40 m used as lead-in fiber to isolate the interrogator from the furnace environment. The fiber was …

Gauge-Invariant Gravitational Wave Polarization In Metric F(R) Gravity With Cosmological Implications, Ramesh Radhakrishnan, David Mcnutt, Delaram Mirfendereski, Alejandro Pinero, Eric Davis, William Julius, Gerald Cleaver

Physics & Astronomy Faculty Publications

We develop a fully gauge-invariant analysis of gravitational-wave polarizations in metric 𝑓⁡(𝑅) gravity with a particular focus on the modified Starobinsky model 𝑓⁡(𝑅) =𝑅 +𝛼⁢𝑅2 −2⁢Λ, whose constant-curvature solution 𝑅𝑑 =4⁢Λ provides a natural de Sitter background for both early- and late-time cosmology. Linearizing the field equations around this background, we derive the Klein–Gordon equation for the curvature perturbation 𝛿⁢𝑅 and show that the scalar propagating mode acquires a mass 𝑚2𝜓 =1/(6⁢𝛼), highlighting how the same scalar degree of freedom governs inflationary dynamics at high curvature and the propagation of gravitational waves in the current accelerating Universe. Using the scalar–vector–tensor …

Gpu And Pso Accelerated Low-Latency Fully-Coherent All-Sky Search For Compact Binary Coalescences, Soumya D. Mohanty

Physics & Astronomy Faculty Publications

The fully-coherent all-sky (FCAS) search, which combines data from a gravitational wave detector network into a single likelihood function, is the preferred method prescribed by statistical theory for Gaussian noise. However, so far, its exorbitant computational cost has blocked its use for compact binary coalescence searches. We introduce a solution combining Particle Swarm Optimization with Graphics Processing Unit (GPU) acceleration that is ≈ 50-fold faster than real-time analysis. This transforms the prospect of a low-latency FCAS search on all GW data into a practical reality for the first time. With large-scale simulations enabled by this speedup, we examine the issue …

Efficient Search For Detection Candidates Using A Peak Finder Strategy For All-Sky-All-Frequency Gravitational Wave Radiometer, Arindam Sharma, Deepali Agarwal, Sanjit Mitra

Physics & Astronomy Faculty Publications

The first all-sky-all-frequency (ASAF) radiometer search was conducted using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. The significance of this search lies in its fast and unmodeled approach, leveraging a cross-correlation technique to identify common signals across the detector network. As a result, this method serves as an excellent alternative to search for unknown or poorly modeled continuous wave sources and narrow band components of the gravitational wave (GW) background. For continuous wave sources whose waveform can be modeled, this method can serve as the first stage of a hierarchical scheme by …

Lessons Learned From An Epic Transformation Of A Radiation Oncology Department In Guatemala: Keys To Success, Edgar Ruiz, Hiram A Gay, Milton Ixquiac, Angel Velarde, Baozhou Sun, Jose García-Ramirez, Eric Laugeman, Benjamin Li, Jeff Michalski, Vicky De Falla, Geoff Hugo, Jacaranda Van Rheenen

Faculty, Staff and Students Publications

Purpose: We describe the radical modernization of a radiation oncology department in a developing country, Guatemala, from 2015 to the beginning of 2024. The Instituto de Cancerología y Hospital Dr. Bernardo del Valle S (INCAN) is the only public radiotherapy clinic serving patient referrals from the Ministry of Public Health and Social Assistance program.

Methods and materials: We describe the state of the radiation oncology department in 2015 versus 2024 while chronicling its gradual transformation. This multifaceted collaboration involved academic centers, government agencies, International Atomic Energy Agency (IAEA), industry, and nonprofits and continues to this day. We analyze the infrastructure, …

Assessment Of In-Frame Indel Variants In An Unsolved Cohort Of Inherited Retinal Diseases Using Machine Learning, David E Rauch, Meng Wang, Muhammad Jafar Hussain Hafiz, Daniel C Brock, Yumei Li, Molly Marra, Mark E Pennesi, Paul Yang, Everett Lesley, Irma Lopez, Robert Koenekoop, Edward Ryan Collantes, Joanne Bolinao, Rui Chen

Faculty, Staff and Students Publications

The standard for in silico pathogenicity prediction of in-frame insertions and deletions (indels) is less established compared to other types of variations. We aimed to systematically assess the performance of in silico machine learning (ML) tools on a patient cohort with inherited retinal diseases (IRDs). The performance of four ML tools (CADD, FATHMM-indel, VEST4, and MetaRNN-indel) was compared. Among them, MetaRNN-indel showed the best overall results. MetaRNN-indel was then applied to 1013 unsolved IRD patients, identifying two likely pathogenic causal variants in two unrelated IRD patients by confirming clinical phenotypes. Hence, our findings indicate that reliable prediction of the pathogenicity …

Strategies And Challenges For The Recruitment Of Young Healthy Participants In The Dietary Approaches To Longevity And Health (Dial Health) Pilot Trial, Hannah E Cabre, Courtney M Peterson, Gareth R Dutton, Kimberly L Drews, Stephanie T Broyles, Robert Dubin, Laura Q Rogers, Catherine Champagne, Dennis T Villareal, Daniel S Hsia, Leanne M Redman, Corby K Martin

Faculty, Staff and Students Publications

Background: Understanding the impact of nutrition on human aging requires long-term trials in young, healthy, unmedicated adults. As part of the Dietary Approaches for Longevity and Health (DiAL Health) pilot project, we evaluated strategies for recruiting this population for aging-related dietary intervention studies.

Methods: We analyzed recruitment costs to enroll 70 participants (ages 25-49, BMI 22.0-29.9 kg/m2) across two DiAL Health sites and used NHANES data (2017-March 2020) to estimate the proportion of U.S. adults meeting partial trial eligibility. Additionally, a formative study surveyed 492 U.S. adults (≥18 years) to assess interest in aging-focused dietary trials.

Results: Of 2049 applicants …

Sewers To Solutions: A Guide To Wastewater Pathogen Monitoring, Justin R Clark, Anthony W Maresso

Faculty, Staff and Students Publications

Wastewater-based epidemiology (WBE) is the analysis of wastewater to detect pathogen levels or activity for public health awareness or action. Pioneered in the 1940s, WBE underwent a resurgence during the COVID-19 pandemic, providing important information about number of cases, outbreaks, and seasonal impact. With advancements in detection technologies and growing interest in environmental surveillance, WBE is poised to become a standard practice in public health monitoring. Here, we provide an overview of the current state of the art of pathogen WBE, including methods of molecular detection, analysis of wastewater data, real-world applications and programs, public health interventions, and benefits and …

Clinical Factors And Diagnoses Associated With Inappropriate Urine Culture Ordering In Primary Care, Marissa Valentine-King, Barbara W Trautner, Michael A Hansen, Roger Zoorob, Lisa C K Danek, Kenneth Muldrew, Forrest Hudson, Robert L Atmar, Larissa Grigoryan

Faculty, Staff and Students Publications

Objective: Evaluate the prevalence and risk factors for inappropriately ordered urine cultures in primary care.

Design: Cross-sectional study using chart reviews.

Setting: Two primary care, safety-net clinics in Houston, Texas.

Patients: Non-pregnant adults without a urinary catheter who had a urine culture and a primary care visit between 11/2018 and 3/2020.

Methods: We classified patients lacking physician documentation of the following symptoms as having an inappropriately ordered urine culture: dysuria, frequency, urgency, hematuria, fever, chills, costovertebral angle tenderness, nephrolithiasis, and pain (suprapubic, pelvic, or flank). We extracted patient demographics, visit-related diagnostic codes, past medical history, and urine culture results. Diagnostic …

In Vivo Volumetric Visualization And Quantification Of Cumulus Expansion In Mice With Intravital Optical Coherence Tomography, Kohei Umezu, Frank J Brooks, Irina Larina

Faculty, Staff and Students Publications

Ovulation is preceded by a critical physiological process known as cumulus expansion, during which the cumulus cell layer surrounding the oocyte undergoes structural remodeling. Despite the recognized importance of this process for reproductive success, live quantitative imaging of cumulus expansion has not been previously achieved due to limitations of current imaging technologies for deeply located ovaries. In this study, we employed intravital optical coherence tomography for three-dimensional visualization of mouse follicles containing cumulus-oocyte complexes (COC) within the physiological context of the ovary, both ex vivo and in vivo. This method enabled time-lapse measurement of cumulus layer thickness and COC …

Survodutide For Treatment Of Obesity: Baseline Characteristics Of Participants In A Randomized, Double-Blind, Placebo-Controlled, Phase 3 Trial (Synchronize™-1), Carel W Le Roux, Sean Wharton, Biykem Bozkurt, Elke Platz, Gabriele Bleckert, Samina Ajaz Hussain, Martina Brueckmann, Elena Startseva, Isabel M Kloer, Lee M Kaplan

Faculty, Staff and Students Publications

Aims: Survodutide, a novel glucagon receptor and glucagon-like peptide-1 (GLP-1) receptor dual agonist, elicited significant weight loss in a phase 2 trial in individuals with obesity without type 2 diabetes (T2D). Two multinational phase 3 trials are investigating survodutide for obesity management in individuals with or without T2D. We report the baseline characteristics of participants in the SYNCHRONIZE-1 trial in adults with obesity without T2D (ClinicalTrials.gov: NCT06066515).

Materials and methods: Participants aged ≥18 years with BMI ≥30 or ≥27 kg/m2 with ≥1 obesity complication without T2D were randomized 1:1:1 to double-blind, once-weekly, subcutaneous injections of survodutide (up-titrated to 3.6 …

Spinning-Induced Exertional Rhabdomyolysis Without Acute Kidney Injury, Yolanda V. Gutierrez, Ronald Shaju, Alyssa L. Sepulveda, Joaquin Rivera, Aamir Ahmad

School of Medicine Publications

Rhabdomyolysis is a condition with a myriad of causes, including both traumatic and non-traumatic. Traumatic conditions are observed in crush injuries, compartment syndrome, and fractures, while non-traumatic rhabdomyolysis is commonly seen due to exertional heat stroke, extreme physical exercise, and dehydration. This case report explores two cases of extreme non-traumatic rhabdomyolysis caused by indoor cycling, also known as spinning. A common complication of severe rhabdomyolysis is acute kidney injury (AKI), which increases the risk of renal failure. Rapid interventions such as aggressive intravenous fluids are necessary to prevent kidney function loss. In this case report, two sisters, on two separate …

Hemispherotomy For Drug-Resistant Epilepsy In A Low-Resource Setting: Surgical Outcomes And Quality Of Life In 23 Children Treated In A Hybrid Program In Panama, Emmajane G Rhodenhiser, David Bonda, Carmen Baez, Hannah K Weiss, Yosef Dastagirzada, Guzman Aranda, Laurent Bruggeman, Ameeta Grover, Shaun D Rodgers, Ruben Kuzniecky, Yvonne Zelenka-Kuzniecky, Howard L Weiner, Eveline Teresa Hidalgo

Faculty, Staff and Students Publications

Introduction: Hemispherotomy is an effective treatment for children with drug-resistant epilepsy (DRE). While hemispherotomy techniques and indications have evolved, access remains predominantly constrained to high-resource settings.

Methods: We performed a retrospective analysis of children who underwent hemispherotomy from 2011 to 2023 by a hybrid team, including local Panamanian and US neurologists, neurosurgeons, and EEG technicians and analyzed surgical, epilepsy, and quality of life (QoL) parameters. Follow-up data were collected according to the International Consortium for Health Outcomes Measurement (ICHOM) guidelines for children with epilepsy.

Results: Twenty-three children underwent hemispherotomy. The median age at surgery was 10 years (range 2-20). The …

Intercornual Distance And Postoperative Reproductive Outcomes In Moderate-To-Severe Intrauterine Adhesions: A Retrospective Cohort Study, Yifu He, Xingping Zhao, Huan Huang, Changfa Shu, Xiaoming Guan, Jia Guo, Dabao Xu

Faculty, Staff and Students Publications

Study question: Does intercornual distance (ICD), as reflected by intrauterine stent size during hysteroscopic adhesiolysis, have an association with reproductive outcomes and provide information for postoperative risk stratification in women with moderate-to-severe intrauterine adhesions?

Summary answer: A smaller ICD was independently associated with a lower likelihood of clinical pregnancy within 1 year of the final hysteroscopy and may offer additional information for postoperative risk stratification in women with moderate-to-severe intrauterine adhesions.

What is known already: Reproductive outcomes following treatment for moderate-to-severe intrauterine adhesions vary considerably. Existing severity classifications offer limited discrimination within this group. The potential association between ICD and …

Una Nueva Herramienta Para Estimar El Volumen Muscular Independientemente De La Edad, El Sexo Y El Nivel De Actividad Física, José J. Rivera-Sánchez, Laura P. Burgos-Morelos, Daniel Castillo-Castillo, Gerardo Méndez-Suárez, Juan C. Lopez-Alvarenga, Damián Carrillo-Ruíz

School of Medicine Publications

Antecedentes: Actualmente, la evaluación del volumen muscular requiere técnicas invasivas o de imagen, lo que aumenta los costos y retrasa la evaluación, y las mediciones antropométricas con frecuencia son inexactas.

Objetivo: Desarrollar una fórmula matemática para estimar el volumen del cuádriceps.

Material y métodos: Se evaluaron 127 sujetos: 40 adultos sedentarios de 20 a 35 años, 47 atletas adultos de 20 a 45 años y 40 adultos sedentarios de 70 a 94 años. Se dividieron en grupos de desarrollo y de validación. Se realizaron mediciones de variables antropométricas y fuerza de agarre, y se desarrolló la fórmula de predicción del …

Disrupted Intrathalamic And Thalamocortical Structural Covariance Networks In Posttraumatic Stress Disorder, Nick Steele, Ahmed Hussain, Delin Sun, C Lexi Baird, Courtney Russell, Neda Jahanshad, Lauren E Salminen, Miranda Olff, Jessie L Frijling, Dick J Veltman, Saskia B J Koch, Laura Nawijn, Mirjam Van Zuiden, Li Wang, Ye Zhu, Gen Li, Dan J Stein, Jonathan Ipser, Sheri Koopowitz, Yuval Neria, Xi Zhu, Orren Ravid, Sigal Zilcha-Mano, Amit Lazarov, Benjamin Suarez-Jimenez, Ashley A Huggins, Jennifer Stevens, Kerry Ressler, Tanja Jovanovic, Sanne J H Van Rooij, Negar Fani, Emily L Dennis, David F Tate, David X Cifu, William C Walker, Elisabeth A Wilde, Ivan Rektor, Pavel Říha, Milissa L Kaufman, Lauren A M Lebois, Justin T Baker, Anthony King, Israel Liberzon, Mike Angstadt, Nicholas D Davenport, Seth G Disner, Scott R Sponheim, Thomas Straube, David Hofmann, Guang Ming Lu, Rongfeng Qi, Amit Etkin, Adi Maron-Katz, Xin Wang, Austin Kunch, Hong Xie, Yann Quidé, Wissam El-Hage, Shmuel Lissek, Hannah Berg, Steven E Bruce, Josh Cisler, Marisa Ross, Ryan Herringa, Daniel W Grupe, Jack B Nitschke, Richard J Davidson, Christine Larson, Terri A Deroon-Cassini, Carissa W Tomas, Jacklynn M Fitzgerald, Brandee Feola, Jennifer U Blackford, Bunmi O Olatunji, Geoffrey May, Steven M Nelson, Evan M Gordon, Chadi G Abdallah, Ruth Lanius, Maria Densmore, Jean Théberge, Richard W J Neufeld, Paul M Thompson, Rajendra A Morey

Faculty, Staff and Students Publications

The thalamus is a heterogeneous structure crucial for corticocortical communication, affective–perceptual integration, motor preparation, and memory-related functions. Posttraumatic stress disorder (PTSD) is characterized by various symptoms that likely relate to thalamic functions. Group-level and individual differential structural covariance (SC) analyses were conducted on intrathalamic, thalamocortical, and thalamosubcortical volumetric networks by segmenting structural MRI data from 2,784 subjects (PTSD n = 1,306; controls n = 1,478) into 25 thalamic nuclei per hemisphere. We found that PTSD was associated with stronger intrathalamic and thalamocortical network strength and stronger SC between the limbic thalamus and the somatomotor and auditory thalamus. PTSD severity was …

Pediatric Both Bone Fracture Leading To Median Nerve Entrapment: A Case Report, Joshua Lyndon Dale, Frank Gerold

School of Medicine Publications

Introduction: Both-bone forearm fractures are common in pediatric patients and most often result from a fall onto an outstretched hand. Although rare, nerve entrapments, particularly of the median nerve, can occur, especially following closed reduction.

Case report: We present the case of a 13-year-old male who sustained a both-bone forearm fracture while on vacation in Mexico. The injury was managed with closed reduction and casting. Despite appropriate treatment, the patient developed progressive numbness, tingling, and thenar atrophy in the median nerve distribution. Electromyography and nerve conduction studies confirmed significant median nerve dysfunction. Surgical exploration revealed the median nerve entrapped in …

Non-Congenital Hsv-1 Keratitis In An Immunocompetent 9-Month-Old Infant, Caleb A Casanova, Stephanie Trejo Corona, Stephen F Pflugfelder

Faculty, Staff and Students Publications

Isolated, non-congenital herpes simplex virus type 1 (HSV-1) keratitis in immunocompetent infants is exceedingly rare and may be easily misdiagnosed, leading to delays in appropriate antiviral therapy. This case is unique in that it describes HSV-1 keratitis in a healthy 9-month-old infant presenting without systemic illness, initially treated as bacterial conjunctivitis. The patient presented with unilateral eye pain, redness, and corneal opacification. Subsequent evaluation revealed HSV-1 keratitis, and the patient was treated with intravenous acyclovir in combination with topical moxifloxacin and topical ganciclovir, resulting in complete resolution of symptoms within one week. This case adds to the limited literature on …

3d Geometric Modelling And Clinical Validation Of Lower Limb And Preliminary 2-Year Post-Operative Clinical Outcomes Of Neutral Boundary Alignment In Total Knee Arthroplasty, Bruno Violante, Lorenzo Deveza, Francesco Pollara, Giovanni Rusconi, Gianroberto Ferreri, Alessandro Annibaldi, Ilwhan Park

Faculty, Staff and Students Publications

Purpose: To introduce a novel three-dimensional (3D) modelling concept for lower limb alignment in total knee arthroplasty (TKA), termed neutral boundary alignment (NBA) and to present preliminary clinical data supporting this physics-based custom alignment strategy.

Methods: NBA is defined as the alignment at which the knee joint line is parallel to the ground during the mid-stance phase of gait, achieving static equilibrium with the NBA axis aligned to gravity. A theoretical geometric model of the lower limb was developed, integrating principles of physics to describe this condition. Preliminary clinical validation was performed using radiographic data from an initial cohort of …

Professionalism In Practice: A Novel Approach To Integrating Small Doses Of Case-Based Professionalism Education Into Monthly Grand Rounds., Allison H Taylor, Andrew Caruso, Kelley Arredondo, Ellen M Friedman, Stacey R Rose

Faculty, Staff and Students Publications

Introduction: Professionalism is a critical construct across the health professions, though learners and faculty report feeling underprepared to navigate difficult situations; education in professionalism is challenged by the absence of a universal definition, time constraints due to overcrowded curricula, and the lack of consistent messaging to learners and faculty.

Methods: Professionalism in Practice (PiP) was developed to provide small doses (∼5 minutes) of case-based professionalism education as part of an existing educational forum (Grand Rounds) to optimize attendance of both learners and faculty. Each vignette highlighted a common professionalism challenge and was aligned with an AAMC professional competency. Sessions were …

Functional Analysis Of Genes Enriched In Male Reproductive Organs: Validation Via Fertility Assessment Of 14 Knockout Mouse Lines, Kazumasa Takemoto, Katarzyna Kent, Kaori Nozawa, Shingo Tonai, Ahn H Pham, Terumi Fujimoto, Thomas X Garcia, Martin M Matzuk, Masahito Ikawa, Keizo Tokuhiro

Faculty, Staff and Students Publications

Tissue-restricted gene expression serves as a key indicator of functional importance within specific organs. Despite advances in high-throughput sequencing and genome editing over the past decade, this principle remains the gold standard for identifying candidate genes for functional studies. In reproductive biology, testis-restricted expression is anticipated to indicate genes crucial for gametogenesis, given the conserved features shared between spermatogenesis and oogenesis. Concurrently, rapid evolution of spermatogenesis-related genes is well documented and thought to arise through duplication and subsequent mutation of ubiquitously expressed genes. In this study, we established 14 knockout (KO) mouse lines for male reproductive organ-enriched genes, all of …