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Parameters Identification Of Lithium Battery Based On Forgetting Factor Recursive Least Square Algorithm With Improved Initial Value, Wen Wang, Huaze Shi, Yufei Yue, Longji Li, Chuanping Wu, Yuxuan Tong Sep 2024

Parameters Identification Of Lithium Battery Based On Forgetting Factor Recursive Least Square Algorithm With Improved Initial Value, Wen Wang, Huaze Shi, Yufei Yue, Longji Li, Chuanping Wu, Yuxuan Tong

Journal of Electric Power Science and Technology

Accurate estimation of the state of charge (SOC) of lithium-ion batteries relies on precise model parameters. When using the forgetting factor recursive least square (FFRLS) algorithm for parameter identification of the equivalent circuit model of lithium-ion batteries, improper selection of initial iterative values can lead to low identification accuracy and slow convergence speed. To address this issue, circuit analysis is combined with the FFRLS algorithm, and then an improved initial value-FFRLS (IIV-FFRLS) algorithm is proposed. Firstly, offline identification is performed to obtain the equivalent circuit model parameters corresponding to various SOC points, which are then fitted using a polynomial function. …

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A Recipe For Feeding Ourselves: New Hampshire’S First-Ever Food System Strategic Plan Is Underway, Robbin Ray Sep 2024

A Recipe For Feeding Ourselves: New Hampshire’S First-Ever Food System Strategic Plan Is Underway, Robbin Ray

Media Relations

No abstract provided.

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Icing Prediction Model Of Transmission Line Based On Ihho‑Hkelm, Li Huang, Shuang Song, Chuang Liu, Junjun Wang, Dan Hu, Qixin He, Weiyi Lu Sep 2024

Icing Prediction Model Of Transmission Line Based On Ihho‑Hkelm, Li Huang, Shuang Song, Chuang Liu, Junjun Wang, Dan Hu, Qixin He, Weiyi Lu

Journal of Electric Power Science and Technology

To further improve the accuracy of transmission line icing prediction, a prediction model based on an improved Harris hawks optimization(IHHO) algorithm optimizing hybrid kernel extreme learning machine(HKELM) is proposed. The hybrid kernel function is introduced into the kernel extreme learning machine to form HKELM. The IHHO algorithm is improved by strategies such as golden sine, nonlinear decreasing inertia weight, and Gaussian random walk. The IHHO algorithm is then utilized to optimize the weight vector and kernel parameters of HKELM, establishing a transmission line icing prediction model based on IHHO-HKELM. The input variables of the icing prediction model are determined by …

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Risk Zone Assessment Of Rainstorm Induced Waterlogging Associated Outage Of Distribution System With Consideration Of Micro‑Topography, Le Wang, Jie Tang, Yuanfei Huang, Ke Wang, Zenghong Jian Sep 2024

Risk Zone Assessment Of Rainstorm Induced Waterlogging Associated Outage Of Distribution System With Consideration Of Micro‑Topography, Le Wang, Jie Tang, Yuanfei Huang, Ke Wang, Zenghong Jian

Journal of Electric Power Science and Technology

Influenced by climate change, heavy rainfall and waterlogging have shown an increasing trend in recent years. The distribution system with a small power supply radius and insufficient flexibility in location selection is prone to large-scale power outages caused by waterlogging. Analysis points out that due to the lack of detailed records of waterlogging levels, there is a benchmark missing problem in the planning and construction of distribution systems in terms of waterlogging protection. Therefore, referring to disaster prevention methods such as ice disasters in power systems, and based on the analysis of storm inundation using a two-dimensional hydrodynamic model, this …

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Llm4tdd: Best Practices For Test Driven Development Using Large Language Models, Sanyogita Piya, Allison Sullivan Sep 2024

Llm4tdd: Best Practices For Test Driven Development Using Large Language Models, Sanyogita Piya, Allison Sullivan

Association of Computing Machinery Open Access Agreement Publications-Archive

In today’s society, we are becoming increasingly dependent on software systems. However, we also constantly witness the negative impacts of buggy software. Program synthesis aims to improve software correctness by automatically generating the program given an outline of the expected behavior. For decades, program synthesis has been an active research field, with recent approaches looking to incorporate Large Language Model. This paper explores the concept of LLM4TDD, where we guide Large Language Models to generate code iteratively using a test-driven development methodology. We conduct an empirical evaluation using ChatGPT and coding problems from LeetCode to investigate the impact of different …

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Remembering Lost Lives And Collective Healing From Trauma: Homicides, Incarceration, And Pain-Driven Advocacy In The Jane And Finch Community, Ardavan Eizadirad, Devon Jones, Greg Leslie, Tamasha Grant Sep 2024

Remembering Lost Lives And Collective Healing From Trauma: Homicides, Incarceration, And Pain-Driven Advocacy In The Jane And Finch Community, Ardavan Eizadirad, Devon Jones, Greg Leslie, Tamasha Grant

Education Faculty Publications

This article serves as a vessel for knowledge mobilization and activism as research, intertwining remembrance of lost lives and communal healing by sharing collective pain amongst the authors and bolstering mutual support. Guided by personal encounters with violence including death, homicides, and incarceration, four authors comprising a teacher, social worker, and two community activists, unveil their 20-year+ advocacy journey in the Jane and Finch community in Toronto, Canada including their involvement with programs and services through the non-profit organization Youth Association for Academics, Athletics, and Character Education (YAAACE). The pain and suffering are shared as symptoms of systemic trauma inflicted …

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Transformer Fault Diagnosis Based On Dga And Tpe‑Lightgbm, Jinxin Yang, Caibo Liao, Xiong Hu, Wenqing Zhu, Xu Zhang, Bang Liu Sep 2024

Transformer Fault Diagnosis Based On Dga And Tpe‑Lightgbm, Jinxin Yang, Caibo Liao, Xiong Hu, Wenqing Zhu, Xu Zhang, Bang Liu

Journal of Electric Power Science and Technology

Dissolved gas analysis (DGA) is significant for early warning and diagnosis of transformer faults. To enhance the accuracy and reliability of transformer fault diagnosis, a transformer fault diagnosis method is proposed based on the tree-structured parzen estimator (TPE) algorithm to optimize the light gradient boosting machine (LightGBM). Firstly, a 16-dimensional DGA feature set including gas ratios and encodings in oil is established, and the least absolute shrinkage and selection operator (LASSO) algorithm is used to select effective feature quantities for transformer fault diagnosis. Secondly, a transformer fault diagnosis method based on LightGBM is constructed, and the TPE algorithm is introduced …

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Cover And Contents Sep 2024

Cover And Contents

Turkish Journal of Mathematics

No abstract provided.

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Comprehensive Computational Study On Transient Heat Transfer In Functionally Graded Longitudinal Fins Under Time-Varying Laser Heating, Hüseyi̇n Demi̇r, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keleş Sep 2024

Comprehensive Computational Study On Transient Heat Transfer In Functionally Graded Longitudinal Fins Under Time-Varying Laser Heating, Hüseyi̇n Demi̇r, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keleş

Turkish Journal of Mathematics

The present study assumes that the material properties of the fin vary by a force rule in the axial direction, with the exception of the thermal relaxation coefficient, which is assumed to be constant. The temperature distribution in the longitudinal fin with homogeneous cross-section exposed to the laser heat source is numerically investigated. This is because these constraints lead to a linear differential equation with partial solutions that can't be analytically resolved using conventional methods, except for a few elementary order functions. Consequently, a linear or non-linear system of equations as a function of time is obtained by transforming a …

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A Note On The Hull And Linear Complementary Pair Of Cyclic Codes, Zohreh Aliabadi, Tekgül Kalayci Sep 2024

A Note On The Hull And Linear Complementary Pair Of Cyclic Codes, Zohreh Aliabadi, Tekgül Kalayci

Turkish Journal of Mathematics

The Euclidean hull of a linear code C is defined as C ∩ C⊥ , where C⊥ denotes the dual of C underthe Euclidean inner product. A linear code with the trivial hull is called a linear complementary dual (LCD) code. Apair (C,D) of linear codes of length n over the finite field Fq is called a linear complementary pair (LCP) of codes ifC ⊕ D = Fnq. More generally, a pair (C,D) of linear codes of the same length over Fq is called a linear ℓ -intersectionpair of codes if C ∩D has dimension ℓ as a vector space …

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A Non-Newtonian Conics In Multiplicative Analytic Geometry, Aykut Has, Beyhan Yilmaz Sep 2024

A Non-Newtonian Conics In Multiplicative Analytic Geometry, Aykut Has, Beyhan Yilmaz

Turkish Journal of Mathematics

In this study, conics (circle, ellipse, hyperbola) are characterized by taking into account basic multiplicationoperations in multiplicative space. For this purpose, firstly multiplicative axes and regions are introduced. Additionally,the multiplicative cone definition is given and visualized on the figure. General definitions and theorems of non-Newtonianconics are given. Additionally, examples were given and drawings were made to make the resulting characterizations andtheorems more memorable.

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Two‑Stage Optimization Of Virtual Power Plant Participating In Secondary Frequency Regulation Using Improved Quantum Particle Swarm Optimization Algorithm, Jingkai Zhu, Yong Cui, Yang Du, Wei Jian, Bing Liu, Zhaoyu Sun Sep 2024

Two‑Stage Optimization Of Virtual Power Plant Participating In Secondary Frequency Regulation Using Improved Quantum Particle Swarm Optimization Algorithm, Jingkai Zhu, Yong Cui, Yang Du, Wei Jian, Bing Liu, Zhaoyu Sun

Journal of Electric Power Science and Technology

As a new type of regional energy management system, the virtual power plant (VPP) can efficiently participate in the secondary frequency regulation auxiliary services of the power grid through the coordinated optimal scheduling of "source-load-storage". This paper introduces the internal structure of the VPP, and models and analyzes the characteristics of new energy units and controllable loads. A two-stage scheduling model for the VPP participating in secondary frequency regulation is established, which can balance the net profit and frequency regulation effect of secondary frequency regulation. An improved quantum particle swarm optimization (QPSO) algorithm with adaptive weights is studied. By introducing …

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Detection And Defense Of Multi‑Area Interconnected Power System Based On Cubature Kalman Filter Under Hybrid Attacks, Mengyan Chang, Yonghui Liu Sep 2024

Detection And Defense Of Multi‑Area Interconnected Power System Based On Cubature Kalman Filter Under Hybrid Attacks, Mengyan Chang, Yonghui Liu

Journal of Electric Power Science and Technology

This paper takes the multi-regional interconnected power system as the research object, and studies the detection and defense of multi-region interconnected power system under hybrid attack. Firstly, a mathematical model of multi-regional interconnected power system is established, the location and type of network attacks suffered by multi-regional interconnected power system are analyzed, and false data injection attacks and denial of service attack models are established. Secondly, diagnose denial of service attacks based on whether packets are received, and the recently received packet compensates for the lost packet, the defense of denial-of-service attack is realized. Then, based on the cubature Kalman …

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Short‑Term Prediction Method Of Distributed Pv Output Power Based On K‑I‑Elm Multi‑Model Integration, Zhuohan Jiang, Shengyu Zhou, Yuqing He, Renjun Zhou, Chenhao Sun Sep 2024

Short‑Term Prediction Method Of Distributed Pv Output Power Based On K‑I‑Elm Multi‑Model Integration, Zhuohan Jiang, Shengyu Zhou, Yuqing He, Renjun Zhou, Chenhao Sun

Journal of Electric Power Science and Technology

In response to the "dual carbon" strategy, a new type of power system with a high proportion of renewable energy access has become the next development goal. As one of the main forms of current energy generation, photovoltaic (PV) power generation has characteristics such as multi-source, heterogeneous, and high-dimensional data distribution, which makes the mechanisms and effects of different features relatively complex and subsequently increases the difficulty of predicting the output of distributed PV systems. To address this, multiple categories of data mining models are integrated to construct an K-I-ELM prediction method for short-term PV output prediction in complex data …

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An Identification Method Based On Mtf Visualization And Improved Densenet For Power Quality Disturbances, Shuai Shi, Ziwen Chen, Dongmei Huang, Qi He, Yuan Sun, Wei Hu Sep 2024

An Identification Method Based On Mtf Visualization And Improved Densenet For Power Quality Disturbances, Shuai Shi, Ziwen Chen, Dongmei Huang, Qi He, Yuan Sun, Wei Hu

Journal of Electric Power Science and Technology

Aiming at the problems of complex process and insufficient refinement of artificial feature selection in traditional power quality disturbances (PQDs) classifier, a new PQD recognition method based on Markov transition field visualization and improved DenseNet is proposed. Firstly, the one-dimensional PQD signal is mapped into a two-dimensional image by MTF. Then, the image is input into an improved DenseNet with a new channel attention mechanism. Finally, the network is trained to extract features from a large number of samples by itself, so as to realize the correct recognition of PQD signals. The example results show that: in the case of …

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Small Signal Stability Analysis Of Power System Considering Railway Traction Load Access, Xiaofeng Jiang, Xiaoyan Han, Pengyu Pan, Gang Chen Sep 2024

Small Signal Stability Analysis Of Power System Considering Railway Traction Load Access, Xiaofeng Jiang, Xiaoyan Han, Pengyu Pan, Gang Chen

Journal of Electric Power Science and Technology

With the rapid development of electrified railways, the traction load of electrified railways has become the largest single load in China's power system, but the impact of its load characteristics on the small-signal stability of the power system is still unclear. Therefore, an equivalent mathematical model of the traction load of electrified railways is established, and based on this, a small-signal model of the power system considering the access of traction loads is constructed. Secondly, using eigenvalue analysis methods, the impacts of locomotive speed, locomotive quantity, and the access location and proportion of traction loads on the small-signal stability of …

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Stability Analysis Of Flexible Direct Current Transmission System With Differential Flatness Control, Zheng Feng, Hui Li, Xinqiao Fan, Sijia Liu, Kun Qi Sep 2024

Stability Analysis Of Flexible Direct Current Transmission System With Differential Flatness Control, Zheng Feng, Hui Li, Xinqiao Fan, Sijia Liu, Kun Qi

Journal of Electric Power Science and Technology

When an AC system operates asymmetrically, unreasonable control parameter values at the converter station can affect the stable operation of the flexible DC transmission system. Therefore, a small-signal model of the converter station with differential flatness control under asymmetric conditions is proposed. Simultaneously, combining the internal characteristics of the modular multilevel converter (MMC) with the dynamic models of various subsystems such as the circulating current suppressor and the DC line, a global small-signal model for the two-terminal flexible DC transmission system is established. Based on this, the impact of the control parameters on system stability is analyzed by the changes …

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Short‑Term Output Prediction Of Wind Turbine Based On Arima‑Lstm‑Rbf Combined Model, Wenjie Zheng, Huijuan Tan, Ruifeng Zhao, Zhanqiang Xu, Yu Cai, Xinyue Zhu Sep 2024

Short‑Term Output Prediction Of Wind Turbine Based On Arima‑Lstm‑Rbf Combined Model, Wenjie Zheng, Huijuan Tan, Ruifeng Zhao, Zhanqiang Xu, Yu Cai, Xinyue Zhu

Journal of Electric Power Science and Technology

In response to China's "dual carbon" goals, the proportion of new energy sources, represented by wind power, in the power output for power grids continues to increase. Effective wind turbine output prediction is particularly important for formulating grid scheduling and power generation plans ahead of time. Due to the strong irregularity and seasonality of wind power data, a single model prediction method cannot solve the problem of wind power intermittency while ensuring prediction accuracy. To address this, a combined model using the autoregressive integrated moving average (ARIMA) time series, long- and short-term memory (LSTM) network, and radial basis function (RBF) …

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Small Signal Stability Assessment Of Grid‑Connected System For Grid‑Following/Grid‑Forming Hybrid New Energy Stations Based On Tcn, Tao Lin, Zhengyang Lin, Chen Li, Jun Li Sep 2024

Small Signal Stability Assessment Of Grid‑Connected System For Grid‑Following/Grid‑Forming Hybrid New Energy Stations Based On Tcn, Tao Lin, Zhengyang Lin, Chen Li, Jun Li

Journal of Electric Power Science and Technology

To support the rapid switching of unit control modes in grid-following/grid-forming hybrid new energy stations and achieve safe and stable operation of these stations that can adapt to changes in grid strength, a rapid assessment method for small-signal stability of grid-connected systems in grid-following/grid-forming hybrid new energy stations based on temporal convolutional network (TCN) is proposed. Specifically, an aggregated impedance model for grid-following/grid-forming hybrid new energy stations is constructed, and the small-signal stability margin of the grid-connected system is obtained through eigenvalue calculations. Furthermore, using the short-circuit ratio of the grid-connected system and the information on the grid-following/grid-forming control mode …

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Flexible Load Conformance: A Work-In-Progress White Paper, Dana Paresa, Robert B. Bass Sep 2024

Flexible Load Conformance: A Work-In-Progress White Paper, Dana Paresa, Robert B. Bass

Electrical and Computer Engineering Faculty Publications and Presentations

Utilities have used residential loads for providing grid services to utility customers for decades, particularly for demand response. However, the number of customers participating in such programs remains low. New Flexible Load Management strategies for providing grid services have the potential to accelerate customer participation. Efforts to improve customer participation and experience will result in increased load balancing capacity of demand response, which will benefit both customers and electric utilities. This white paper investigates whether current smart grid devices (specifically water heaters) can provide needed services while meeting ANSI/CTA-2045 standard requirements.

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Systems And Methods For Solar Thermal Osmosis Desalination, D. Yogi Goswami, Martina Leveni, Eydhah Almatrafi Sep 2024

Systems And Methods For Solar Thermal Osmosis Desalination, D. Yogi Goswami, Martina Leveni, Eydhah Almatrafi

USF Patents

Disclosed herein is a solar thermal osmosis desalination system comprising a forward osmosis subsystem and a reverse osmosis subsystem where the forward osmosis subsystem is configured to receive solar thermal heat and generate power that can be used to operate the reverse osmosis subsystem.

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Addressing Dispersion In Mis-Measured Multivariate Binomial Outcomes: A Novel Statistical Approach For Detecting Differentially Methylated Regions In Bisulfite Sequencing Data., Kaiqiong Zhao, Karim Oualkacha, Yixiao Zeng, Cathy Shen, Kathleen Klein, Lajmi Lakhal-Chaieb, Aurélie Labbe, Tomi Pastinen, Marie Hudson, Inés Colmegna, Sasha Bernatsky, Celia M T Greenwood Sep 2024

Addressing Dispersion In Mis-Measured Multivariate Binomial Outcomes: A Novel Statistical Approach For Detecting Differentially Methylated Regions In Bisulfite Sequencing Data., Kaiqiong Zhao, Karim Oualkacha, Yixiao Zeng, Cathy Shen, Kathleen Klein, Lajmi Lakhal-Chaieb, Aurélie Labbe, Tomi Pastinen, Marie Hudson, Inés Colmegna, Sasha Bernatsky, Celia M T Greenwood

Manuscripts, Articles, Book Chapters and Other Papers

Motivated by a DNA methylation application, this article addresses the problem of fitting and inferring a multivariate binomial regression model for outcomes that are contaminated by errors and exhibit extra-parametric variations, also known as dispersion. While dispersion in univariate binomial regression has been extensively studied, addressing dispersion in the context of multivariate outcomes remains a complex and relatively unexplored task. The complexity arises from a noteworthy data characteristic observed in our motivating dataset: non-constant yet correlated dispersion across outcomes. To address this challenge and account for possible measurement error, we propose a novel hierarchical quasi-binomial varying coefficient mixed model, which …

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Variants In Lrrc7 Lead To Intellectual Disability, Autism, Aggression And Abnormal Eating Behaviors., Jana Willim, Daniel Woike, Daniel Greene, Sarada Das, Kevin Pfeifer, Weimin Yuan, Anika Lindsey, Omar Itani, Amber L. Böhme, Debora Tibbe, Hans-Hinrich Hönck, Fatemeh Hassani Nia, Undiagnosed Diseases Network, Michael Zech, Theresa Brunet, Laurence Faivre, Arthur Sorlin, Antonio Vitobello, Thomas Smol, Cindy Colson, Kristin Baranano, Krista Schatz, Allan Bayat, Kelly Schoch, Rebecca Spillmann, Erica E. Davis, Erin Conboy, Francesco Vetrini, Konrad Platzer, Sonja Neuser, Janina Gburek-Augustat, Alexandra Noel Grace, Bailey Mitchell, Alexander Stegmann, Margje Sinnema, Naomi Meeks, Carol Saunders, Maxime Cadieux-Dion, Juliane Hoyer, Julien Van-Gils, Jean-Madeleine De Sainte-Agathe, Michelle L. Thompson, E Martina Bebin, Monika Weisz-Hubshman, Anne-Claude Tabet, Alain Verloes, Jonathan Levy, Xenia Latypova, Sönke Harder, Gary A. Silverman, Stephen C. Pak, Tim Schedl, Kathleen Freson, Andrew Mumford, Ernest Turro, Christian Schlein, Vandana Shashi, Hans-Jürgen Kreienkamp Sep 2024

Variants In Lrrc7 Lead To Intellectual Disability, Autism, Aggression And Abnormal Eating Behaviors., Jana Willim, Daniel Woike, Daniel Greene, Sarada Das, Kevin Pfeifer, Weimin Yuan, Anika Lindsey, Omar Itani, Amber L. Böhme, Debora Tibbe, Hans-Hinrich Hönck, Fatemeh Hassani Nia, Undiagnosed Diseases Network, Michael Zech, Theresa Brunet, Laurence Faivre, Arthur Sorlin, Antonio Vitobello, Thomas Smol, Cindy Colson, Kristin Baranano, Krista Schatz, Allan Bayat, Kelly Schoch, Rebecca Spillmann, Erica E. Davis, Erin Conboy, Francesco Vetrini, Konrad Platzer, Sonja Neuser, Janina Gburek-Augustat, Alexandra Noel Grace, Bailey Mitchell, Alexander Stegmann, Margje Sinnema, Naomi Meeks, Carol Saunders, Maxime Cadieux-Dion, Juliane Hoyer, Julien Van-Gils, Jean-Madeleine De Sainte-Agathe, Michelle L. Thompson, E Martina Bebin, Monika Weisz-Hubshman, Anne-Claude Tabet, Alain Verloes, Jonathan Levy, Xenia Latypova, Sönke Harder, Gary A. Silverman, Stephen C. Pak, Tim Schedl, Kathleen Freson, Andrew Mumford, Ernest Turro, Christian Schlein, Vandana Shashi, Hans-Jürgen Kreienkamp

Manuscripts, Articles, Book Chapters and Other Papers

Members of the leucine rich repeat (LRR) and PDZ domain (LAP) protein family are essential for animal development and histogenesis. Densin-180, encoded by LRRC7, is the only LAP protein selectively expressed in neurons. Densin-180 is a postsynaptic scaffold at glutamatergic synapses, linking cytoskeletal elements with signalling proteins such as the α-subunit of Ca2+/calmodulin-dependent protein kinase II. We have previously observed an association between high impact variants in LRRC7 and Intellectual Disability; also three individual cases with variants in LRRC7 had been described. We identify here 33 individuals (one of them previously described) with a dominant neurodevelopmental disorder due …

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What Does A Scientist Look Like? Children's Perceptions Of Scientist Gender And Skin Tone, Angelina Joy, Channing J. Mathews, Adam Hartstone-Rose, Kelly Lynn Mulvaney Sep 2024

What Does A Scientist Look Like? Children's Perceptions Of Scientist Gender And Skin Tone, Angelina Joy, Channing J. Mathews, Adam Hartstone-Rose, Kelly Lynn Mulvaney

Purdue Center for Early Learning Faculty and Staff Publications

When asked to draw a scientist, children typically draw a gender stereotypical male representation; however, research has not yet assessed these representations in terms of scientist stereotypical skin tone. The current study examined children's (N = 69, 66.7% female, Mage = 7.60, SD = 2.13) scientist perceptions by analyzing both the gender and skin tone of their scientist drawings as well as stereotypical features represented (lab coats, scientific instruments, etc.). This study also examined how these perceptions as reflected in the drawings were related to children's explicit gender stereotypes and their science growth mindset. Boys were less likely …

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The Roles Of Cd4+ T Cell Help, Sex, And Dose In The Induction Of Protective Cd8+ T Cells Against A Lethal Poxvirus By Mrna-Lnp Vaccines, Samita Kafle, Brian Montoya, Lingjuan Tang, Ying Tam, Hiromi Muramatsu, Norbert Pardi, Luis Sigal Sep 2024

The Roles Of Cd4+ T Cell Help, Sex, And Dose In The Induction Of Protective Cd8+ T Cells Against A Lethal Poxvirus By Mrna-Lnp Vaccines, Samita Kafle, Brian Montoya, Lingjuan Tang, Ying Tam, Hiromi Muramatsu, Norbert Pardi, Luis Sigal

Department of Microbiology and Immunology Faculty Papers

The role of CD4+ T cells in the induction of protective CD8+ T cells by mRNA lipid nanoparticle (LNP) vaccines is unknown. We used B6 or Tlr9−/− mice depleted or not of CD4+ T cells and LNP vaccines loaded with mRNAs encoding the ectromelia virus (ECTV) MHC class I H-2 Kb-restricted immunodominant CD8+ T cell epitope TSYKFESV (TSYKFESV mRNA-LNPs) or the ECTV EVM158 protein, which contains TSYKFESV (EVM-158 mRNA-LNPs). Following prime and boost with 10 μg of either vaccine, Kb-TSYKFESV-specific CD8+ T cells fully protected male and female mice from …

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Engineered Nls-Chimera Downregulates Expression Of Aggregation-Prone Endogenous Fus, Miyuki Hayashi, Amandeep Girdhar, Ying-Hui Ko, Kevin Kim, Jacquelyn Depierro, Joseph R. Buchler, Nikhita Arunprakash, Aditya Bajaj, Gino Cingolani, Lin Guo Sep 2024

Engineered Nls-Chimera Downregulates Expression Of Aggregation-Prone Endogenous Fus, Miyuki Hayashi, Amandeep Girdhar, Ying-Hui Ko, Kevin Kim, Jacquelyn Depierro, Joseph R. Buchler, Nikhita Arunprakash, Aditya Bajaj, Gino Cingolani, Lin Guo

Department of Biochemistry and Molecular Biology Faculty Papers

Importin β-superfamily nuclear import receptors (NIRs) mitigate mislocalization and aggregation of RNA-binding proteins (RBPs), like FUS and TDP-43, which are implicated in neurodegenerative diseases. NIRs potently disaggregate RBPs by recognizing their nuclear localization signal (NLS). However, disease-causing mutations in NLS compromise NIR binding and activity. Here, we define features that characterize the anti-aggregation activity of NIR and NLS. We find that high binding affinity between NIR and NLS, and optimal NLS location relative to the aggregating domain plays a role in determining NIR disaggregation activity. A designed FUS chimera (FUSIBB), carrying the importin β binding (IBB) domain, is …

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The Prospector, September 10, 2024, Utep Student Publications Sep 2024

The Prospector, September 10, 2024, Utep Student Publications

The Prospector

No abstract provided.

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2024-10-09 Seattle U Hosts Annual Student Involvement Fair, Abdullah El-Sherbeeny Sep 2024

2024-10-09 Seattle U Hosts Annual Student Involvement Fair, Abdullah El-Sherbeeny

The Spectator Online

No abstract provided.

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Big Geospatiotemporal Data Approaches To Monitoring And Mitigating Environmental Impacts In Agriculture, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Arafath Nihar, Yinghui Wu, Jeffrey Yarus, Roger H. French Sep 2024

Big Geospatiotemporal Data Approaches To Monitoring And Mitigating Environmental Impacts In Agriculture, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Arafath Nihar, Yinghui Wu, Jeffrey Yarus, Roger H. French

Student Scholarship

This research explores the application of geospatial techniques for global agricultural monitoring, integrating satellite imagery and soil data to assess crop health and soil conditions. Our approach provides actionable insights to improve agricultural productivity and sustainability, addressing food security challenges through advanced machine learning models.

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Neuroinflammation And Brain Health Risks In Veterans Exposed To Burn Pit Toxins, Athena Brooks, Brian Sandri, Joshua Nixon, Timothy Nurkiewicz, Paul Barach, Janeen Trembley, Tammy Butterick Sep 2024

Neuroinflammation And Brain Health Risks In Veterans Exposed To Burn Pit Toxins, Athena Brooks, Brian Sandri, Joshua Nixon, Timothy Nurkiewicz, Paul Barach, Janeen Trembley, Tammy Butterick

College of Population Health Faculty Papers

Military burn pits, used for waste disposal in combat zones, involve the open-air burning of waste materials, including plastics, metals, chemicals, and medical waste. The pits release a complex mixture of occupational toxic substances, including particulate matter (PM), volatile organic compounds (VOCs), heavy metals, dioxins, and polycyclic aromatic hydrocarbons (PAHs). Air pollution significantly impacts brain health through mechanisms involving neuroinflammation. Pollutants penetrate the respiratory system, enter the bloodstream, and cross the blood-brain barrier (BBB), triggering inflammatory responses in the central nervous system (CNS). Chronic environmental exposures result in sustained inflammation, oxidative stress, and neuronal damage, contributing to neurodegenerative diseases and …

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