Digital Commons Network^™

High-Resolution, Fast-Response Optical Fiber Temperature Sensor With A Large Measurement Range Based On Fiber-Tip Alumina Fabry-Pérot Interferometer, Ruimin Jie, Chen Zhu, Robert Abbott, Michael Davis, Xiong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We present an alumina-tip optical fiber Fabry-Pérot interferometric temperature sensor exhibiting high-temperature performance, rapid response, and high resolution. Fabricated by fusion splicing an alumina micro disk directly to a single-mode fiber, the sensor achieves robust, stable operation without complex fabrication processes or adhesives. Experimental evaluation confirms a measurement range extending to 1000°C, with sensitivity of 28.66 pm/°C, a resolution of 0.042°C, and a rapid response time of approximately 13 ms. Compared to state-of-the-art optical fiber FPI sensors, our alumina-tip sensor offers superior overall performance, effectively addressing critical demands for high-resolution, fast-response temperature measurement in extreme environments including aerospace, structural monitoring, …

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 …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Integrating Optical And Radiofrequency Interferometry For Enhanced Phase Sensing, Ruimin Jie, Zhaopeng Zhang, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Interferometry is a crucial investigative technique used across diverse fields to achieve high-precision measurements. It works by analyzing the phase difference between two interfering waves, which results from variations in optical path lengths within an interferometer. We introduce a novel method for directly measuring changes in the phase difference within an optical interferometer, importantly, with the added advantage of a controllable enhancement factor. This approach is achieved through a two-step process: first, the optical phase difference is encoded into a sub-GHz radiofrequency (RF) signal using microwave-photonic manipulation; then, RF interferometry-assisted phase amplification is implemented at the destructive interference point. In …

Online Lifelong Optimal Adaptive Control Of Partially Uncertain Strict Feedback Discrete-Time Systems With Application To Quadrotor Uavs, Maxwell Geiger, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article considers the infinite time horizon optimal adaptive tracking control of partially uncertain strict feedback discrete-time (DT) systems with application to quadrotor uncrewed aerial vehicles (UAVs). First, the strict feedback DT system is transformed into an equivalent affine nonlinear DT system in terms of the tracking error dynamics. The optimal adaptive tracking control problem is solved using an augmented system approach, where a horizon of future bounded reference trajectory points is used in the augmented state, when compared to using a single point. It is assumed that the internal dynamics of the strict feedback system are unknown, but the …

Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems, Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In sensor-driven dynamic systems, missing data can severely degrade parameter estimation accuracy. This article investigates the impact of missing data on phase estimation in a mass-spring-damper system using an information-theoretic framework based on the Cramér-Rao Lower Bound (CRLB). Closed-form CRLB expressions are derived for four scenarios: complete data, missing completely at random (MCAR) deletion, MCAR-based imputation, and missing at random (MAR) missingness via a selection-weighted formulation. These bounds are used as theoretical benchmarks to evaluate classical imputation methods (last observation carried forward (LOCF), linear interpolation) and advanced approaches (Kalman filtering, Rauch-Tung-Striebel (RTS) smoothing, Bayesian inference, and transformer-based imputation) through Monte …

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 …

Nash Equilibrium Strategies For Multicluster Pursuit–Evasion Game With Disturbances: A Prescribed-Time Convergence Approach, Lei Xue, Xian Yu, Yongbao Wu, Jian Liu, Changyin Sun, D. C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article investigates the problem of prescribed-time Nash equilibrium (NE) seeking for a multicluster pursuit–evasion game (PEG) subject to external disturbances. To mitigate the impact of disturbances and reach the NE within a user-defined prescribed time, a prescribed-time disturbance observer (PTDO) is devised to estimate and compensate for them. Based on this observation, a novel control algorithm is developed, which facilitates collaboration among multiple pursuers to capture multiple evaders within the prescribed time. It is theoretically demonstrated that the designed algorithm ensures prescribed-time convergence to the NE of the multicluster PEG with disturbances. Finally, numerical simulations are conducted to verify …

Real-Time Multiregional Market-To-Market Congestion Management Through Exchange Of Relief Cost Curve, Haotian Chen, Yonghong Chen, Jose Daniel Lara, Jarrad Wright, Matthew Bossart, Sebastian De Jesus Machado, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a novel method for multiregional market-to-market (M2M) coordinated congestion management. It identifies shortcomings in existing M2M approaches, where Regional Transmission Organizations (RTOs) exchange shadow prices and relief requests to optimize congestion relief allocations across interconnected regions. Two methods are proposed to enhance flow and price convergence. The first method proposes that both Regional Transmission Organizations (RTOs) use state-estimator flows directly to determine relief requirements, eliminating delays and potential oscillations caused by using market flows calculated from the prior period under existing M2M approach. The second method involves exchanging transmission relief cost curves, enabling each RTOs to integrate …

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 …

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

Effect Of Sample Properties On Short-Circuited Waveguide Measurements For Materials Characterization, Alexander Hook, Jared Sinkey, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave materials characterization measurements can be performed using a number of well-established approaches. One such approach, the filled transmission line approach featuring a short-circuited rectangular waveguide (SC-RWG) sample holder, is known to have sample placement restrictions related to measurement viability. This work focuses on this approach and addresses the measurement restrictions within the context of sample length and dielectric properties. The complex reflection properties, S11, of a sample placed in a SC-RWG sample holder are studied to quantitively define when a sample must be offset from the SC-end. The impact of the sample holder is also studied from a measurement …

[Introduction To] Shakers At The Center : Manifesting Spirits & Spectacles In Nineteenth-Century America, Douglas L. Winiarski

Bookshelf

Edited by Douglas WIniarski.

"Exploring the theological, social, and cultural dimensions of one of America’s most ambitious prophetic movements

The Shakers’ Era of Manifestations ranks among the most astounding events in American religious history. During the 1840s, members of the United Society of Believers in Christ’s Second Appearing embarked on an audacious project of receiving visions, revelations, and other manifestations from the spirit world and convincing both themselves and the world’s people of their reality. Gifted Shakers known as “instruments” surrendered their bodies to possessing spirits and celestial beings who, in turn, provided the Believers with an unimaginable number of …

Restoring The Wild East: Predicting Public Support For Cougar And Red Wolf Reintroduction In The Eastern United States, Benjamin Ghasemi, Jeremy T. Bruskotter, John A. Vucetich, L. Mark Elbroch, Robyn S. Wilson, Neil H. Carter, Axel Moehrenschlager, Shelby Perry, Joseph W. Hinton

Michigan Tech Publications

Restoring large carnivores to human-dominated landscapes remains ecologically and socially contentious, though reintroduction may offer important benefits where coexistence is possible. Yet, efforts to reintroduce cougars (Puma concolor) and red wolves (Canis rufus) in the Eastern U.S. face major challenges, largely due to human-caused mortality and opposition. We employed the hazard acceptance model and structural equation modeling to investigate the socio-psychological drivers of public support for reintroduction. Survey data were collected from residents of the Eastern U.S. for cougars (n = 2665) and red wolves (n = 3825). For both species, support was positively associated with perceived personal and societal …

Organ Chips And Translational Research: Identifying And Examining New Ethical Issues, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

Organ chips, also known as organ-on-a-chip devices, tissue chips, or microphysiological systems, have emerged over the last decade as a promising translational technology amidst growing concern about the translational crisis between laboratory research and patient bedside. Pointing to high rates of failure between nonhuman animal models and safety and efficacy in humans, organ chips and similar new approach methods have attracted substantial public and private investment. As human-cell-based alternatives to animal models, organ chips promise more predictive, efficient, and ethical platforms for pharmaceutical and toxicity testing. Engineered cultivation systems that enable cells to assemble into tissue-like structures (e.g. kidney, brain, …

Anything But Endo: Diagnostic Buck-Passing In Endometriosis Diagnosis, Rita Dexter, Megan Kitts, Heather Welty, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

People living with endometriosis, a disease in which tissue similar to the lining of the uterus grows elsewhere in the body, often experience prolonged diagnostic journeys because of symptom variability, normalisation of period pain and other symptoms, and lack of awareness of the condition. In this article, we analyse the endometriosis diagnostic journey through the lens of epistemic injustice. Drawing on in-depth interviews with 52 people living with endometriosis in the United States, we introduce the concept of diagnostic buck-passing to characterise the phenomenon wherein individuals who seek treatment for their symptoms end up stuck in a cycle of seeing …

Differences Between Government, Consortium, And Private Database Stewards Impacting The Genomic Data Market: A Survey Of U.S. Academic Genetic Researchers., Amanda K Greene, J Denard Thomas, Kaitlyn Jaffe, Luyun Chen, Kerry A Ryan, Brian J Zikmund-Fisher, J Scott Roberts, Amy L Mcguire, Katherine Hendy, Kayte Spector-Bagdady

Center for Medical Ethics and Health Policy Staff Publications

Background: Despite major shifts in U.S. federal government data sharing requirements, their impact, and relation to researcher choice of database, are underexplored. This study surveyed genetic researchers regarding trends, priorities, perceptions of quality, impact on research outcomes, and genomic data sharing and use across government, consortium, and private databases.

Methods: As part of an exploratory sequential mixed methods project, we surveyed 294 U.S.-based genomic academic researchers.

Results: Genetic researchers generally have a choice between databases, which allows them to prioritize data quality. This might explain recent trends toward the use of government and consortium databases away from private ones. Respondents …

Can I Get A Witness? The Ethical Dimensions Of Family Presence In Patient Suffering, Jennifer Blumenthal-Barby, Trevor M Bibler, Holland Kaplan, Adam Omelianchuk, Joanna Smolenski

Center for Medical Ethics and Health Policy Staff Publications

For patients who are suffering, the bedside presence of a family member can provide comfort, and many people hold that there is moral value in being present with a conscious, suffering patient. Yet what is the moral significance of the absence of family members when a patient is minimally conscious or unconscious and not aware of their absence? Clinicians are often troubled when family members and surrogate decision-makers who are able to spend a significant amount of time at an unconscious, seriously ill patient's bedside do not do so. Clinicians feel frustrated that they must bear the burden of witnessing …

Clinicians’ Views On A Patient Decision Aid For Deep Brain Stimulation In Parkinson’S Disease, Hillary S King, Jennifer Blumenthal-Barby, Benjamin H Levi, Sol De Jesus, Harini Sarva, Laura Y Cabrera

Center for Medical Ethics and Health Policy Staff Publications

Introduction: For people with Parkinson's disease (PD), deciding whether to pursue deep brain stimulation (DBS) has become increasingly complex. Evidence suggests current approaches to collaborative decision-making may fall short of accepted standards. Thus, a decision support intervention, such as a patient decision aid (PtDA) may be warranted. PtDAs have been shown to improve patients' knowledge, expectations, and participation in decision-making for other, similar healthcare decisions. We therefore sought to assess neurologists' awareness of, and experience using, PtDAs, and to solicit their opinions on the ideal features of a PtDA for PD patients considering DBS.

Methods: Sixteen United States-based neurology clinicians …

Toward Ethical Provenance Tracking: The Ga4gh Model Data Access Agreement (Daa), Alexander Bernier, Bartha Maria Knoppers, Jonathan Lawson, Robyn Mcdougall, Maili Raven-Adams, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Standardizing contractual clauses that govern data access enables research institutions to responsibly steward genomic and related health data while enabling its efficient downstream reuse.

Methods: We describe a document analysis study using both qualitative and comparative law analytical approaches to identify the most common categories of clauses from 29 different data access agreements used by human biomedical research consortia globally. We furthermore characterized the legal positions and standard practices for each common element of the agreement and synthesized across them to develop model clauses. A total of 3 discussion sessions were organized virtually to refine the clauses among members …

Imagining Genomics And Population Health In 2050: Anticipating Future Research, Policy, And Governance Needs, Bartha Maria Knoppers, Yann Joly, Ma Apos N H Zawati, Habiba Alsafar, Jeffrey C Barrett, Laura Blackburn, Brian Hon-Yin Chung, Martina C Cornel, Edward S Dove, David Glazer, Calvin Wai-Loon Ho, Muin J Khoury, Anna C F Lewis, Anneke Lucassen, Peter F R Mills, Colin Mitchell, Nicola Mulder, Ainsley J Newson, Anthony Ng, Paul D P Pharoah, Vasiliki Rahimzadeh, Megan C Roberts, Saskia C Sanderson, Jeffrey M Skopek, Ron Zimmern, Eric M Meslin

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Raymond Noordam, Wenyi Wang, Pavithra Nagarajan, Heming Wang, Michael R Brown, Amy R Bentley, Qin Hui, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa De Las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter J Van Der Most, Natasha L Pacheco, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanying Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-Hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Ileana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jörgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpeläinen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangco, Annemarie I Luik, Jintao Ma, James B Meigs, Joseph B Mccormick, Cristina Menni, Ilja M Nolte, Jill M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Teder-Laving, Rima Triatin, Michael Y Tsai, Henry Völzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Mägi, Alisa K Manning, Fumihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda Wjh Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems Van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter Wf Wilson, Patricia A Peyser, Patricia B Munroe, Paul S De Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana Van Heemst

Faculty, Staff and Student Publications

Background and aims: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets.

Methods: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) …

Spatial Evolution In Temporal Dynamics Of Hemodynamic Response Function In Human Superior Colliculi With Ultra-High-Resolution Mri At 9.4t, Nooshin J Fesharaki, Artemy Vinogradov, David Ress, Jung Hwan Kim

Faculty, Staff and Student Publications

The superior colliculus (SC) plays a crucial role in multisensory integration, visual information processing, saccadic target selection, visual selective attention, and decision making. In particular, the SC has a key role in oculomotor coordination, following a rostro-caudal organization. The rostral SC, which corresponds to foveal representation, is linked to fixation, microsaccades, smooth pursuit, and vergence adjustments. In contrast, the caudal SC, representing more peripheral visual field, is associated with the large gaze shifts (saccades). However, evidence regarding whether this functional gradient is preserved in the human SC remains limited. In this study, we employed a sequence-following visual-motor task to specifically …

Polyfluoroalkyl Substances And Altered Glucose Homeostasis In Adolescents Following Bariatric Surgery, Elizabeth Costello, Brittney O Baumert, Zhenjiang Li, Vishal Midya, Shudi Pan, Justin R Ryder, Thomas H Inge, Todd M Jenkins, Stephanie Sisley, Stavra A Xanthakos, Anita Courcoulas, Douglas I Walker, Nikos Stratakis, Damaskini Valvi, Scott M Bartell, Angela L Slitt, Rohit Kohli, Sarah Rock, Michele A La Merrill, Sandrah P Eckel, Max T Aung, Rob Mcconnell, David V Conti, Lida Chatzi

Children’s Nutrition Research Center Staff Publications

Objectives: Bariatric surgery is an effective treatment for severe obesity and associated metabolic comorbidities. Exposure to polyfluoroalkyl substance (PFAS) before bariatric surgery may attenuate improvements in glucose metabolism and explain some of the heterogeneity in post-surgery outcomes.

Design: This is an observational cohort study.

Methods: Adolescents (n = 186) enrolled in the Teen-Longitudinal Assessment of Bariatric Surgery study were included. Eight-PFAS congeners were measured in plasma before surgery. Linear and logistic regressions were used to examine cross-sectional associations between log2-transformed PFAS (ng/mL) and fasting glucose, insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR). Linear mixed …

Limosilactobacillus Reuteri Alleviates Proinflammatory T-Cell-Mediated Liver Injury And Transcriptomic Changes In Immunocompromised Mice, Ana Fadhel Alvarez, Zheng Yin, Beanna Okeugo, Alexander Banerjee, Meng Luo, Christopher M Taylor, Salomea Giorgberidze, Vaishali Harne, Rambabu Majji, Melissa N Munroe, Ji Ho Suh, Stephen T C Wong, Kang Ho Kim, Hari Krishna Yalamanchili, Suhair Al Salihi, Jon Marc Rhoads, Yuying Liu

Children’s Nutrition Research Center Staff Publications

Background: A deficiency of immunosuppressive regulatory T cells, as seen in scurfy (SF) mice or in IPEX syndrome in humans, can lead to multiorgan inflammation. Oral administration of the probiotic Limosilactobacillus reuteri Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM) 17938 prolongs survival and reduces Th1- and Th2-associated inflammation in SF mice. It remains unclear how DSM 17938-educated SF-CD4+ T cells modulate T-cell-liver communication.

Methods: To characterize CD4+ T cells from SF mice orally administered DSM 17938 (Prob-SF-CD4+ T cells) and to compare them with CD4+ T cells from SF mice (SF-CD4+ T cells), cells isolated from SF spleens were …

Corticotropin-Releasing Factor Neurons In The Bed Nucleus Of The Stria Terminalis Modulate Avoidance Behaviors And Feeding, Juan Manuel Romero, Shae-Marie Stafford-Trujillo, Mitzy Mendoza, Pey-Shyuan Chin, Snigdha Srivastava, Mikhail Kochukov, Qingchun Tong, Benjamin Russell Arenkiel

The Brown Foundation: Institute of Molecular Medicine

Introduction: Animals rely on defensive avoidance of exposed or potentially threatening environments as a fundamental survival strategy, often expressing this behavior as thigmotaxis, or a preference for the periphery of an open space. However, researchers still do not understand how neural circuits coordinate avoidance behavior with competing physiological drives such as feeding. In this study, we investigate how corticotropin-releasing factor (CRF)-expressing neurons in the bed nucleus of the stria terminalis (BNST) integrate environmental avoidance and feeding behavior.

Methods: We used adult male and female mice and applied fiber photometry to monitor BNST CRF neuronal activity in vivo. We performed both …

Cerebellar Motor And Non-Motor Contributions To Dystonia Pathophysiology And Treatment, Linda H Kim, Cheryl Brandenburg, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Dystonia is a complex neurological disorder characterized by sustained or intermittent abnormal movements and/or postures. However, dystonia's non-motor symptoms, particularly the sleep disturbances, are critical yet underexplored concerns that affect all ages. Here, we synthesize current knowledge on the motor and non-motor domains of dystonia, emphasizing the functional interconnections and plasticity within cerebellar motor, cognitive, and sleep-associated circuits to motivate more comprehensive and effective treatments that improve overall quality of life.

Borderplex Business Barometer, Volume 10, Number 3, Thomas M. Fullerton Jr., Steven L. Fullerton

Border Region Modeling Project

No abstract provided.

El Paso Business Cycle Downturn Analysis: 1991 – 2025, Steven L. Fullerton, Thomas M. Fullerton Jr.

Border Region Modeling Project

Recession indicator research for the United States and other national economies has accelerated since 2019. Because of relative ease of implementation, these indices show much promise and expand the business cycle toolkit for applied economists, policy analysts, and business planners. From a regional perspective, a potentially attractive feature of these indices is fairly minimal data requirements. This study extends this branch of the business cycle literature into the realm of regional economics. An application of the framework is developed for El Paso, Texas, USA. That metropolitan economy is a natural candidate for this type of exploratory analysis because of the …