Digital Commons Network^™

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 …

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 …

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 …

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) …

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 …

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.

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 (FUS_IBB), carrying the importin β binding (IBB) domain, is …

Final Outcomes From A Phase 2 Trial Of Posoleucel In Allogeneic Hematopoietic Cell Transplant Recipients., Sanjeet S. Dadwal, Rajat Bansal, Michael W. Schuster, Jean A. Yared, Douglas Myers, Michelle Matzko, Sama Adnan, David Mcneel, Julie Ma, Sarah A. Gilmore, Spyridoula Vasileiou, Ann M. Leen, Joshua A. Hill, Jo-Anne H. Young

Manuscripts, Articles, Book Chapters and Other Papers

Allogeneic hematopoietic cell transplantation (allo-HCT) recipients are susceptible to viral infections. We conducted a phase 2 trial evaluating the safety and rate of clinically significant infections (CSIs; viremia requiring treatment or end-organ disease) after infusion of posoleucel, a partially HLA-matched, allogeneic, off-the-shelf, multivirus-specific T-cell investigational product for preventing CSIs with adenovirus, BK virus, cytomegalovirus, Epstein-Barr virus, human herpesvirus-6, or JC virus. This open-label trial enrolled allo-HCT recipients at high risk based on receiving grafts from umbilical cord blood, haploidentical, mismatched, or matched unrelated donors; post-HCT lymphocytes of <180/mm3; or use of T-cell depletion. Posoleucel dosing was initiated within 15 to 49 days of allo-HCT and subsequently every 14 days for up to 7 doses. The primary end point was the number of CSIs due to the 6 target viruses by week 14. Of the 26 patients enrolled, only 3 (12%) had a CSI by week 14, each with a single target virus. In vivo expansion of functional virus-specific T cells detected via interferon-γ enzyme-linked immunosorbent spot assay was associated with viral control. Persistence of posoleucel-derived T-cell clones for up to 14 weeks after the last infusion was confirmed by T-cell-receptor deep sequencing. Five patients (19%) had acute graft-versus-host disease grade 2 to 4. No patient experienced cytokine release syndrome. All 6 deaths were due to relapse or disease progression. allo-HCT recipients at high risk who received posoleucel had low rates of CSIs from 6 targeted viruses. Repeat posoleucel dosing was generally safe and well tolerated and associated with functional immune reconstitution. This trial was registered at www.ClinicalTrials.gov as #NCT04693637.

Novel Thermoplastic Microvalves Based On An Elastomeric Cyclic Olefin Copolymer., Katie Childers, Ian M. Freed, Mateusz L. Hupert, Benjamin Shaw, Noah Larsen, Paul Herring, Jeanne H. Norton, Farhad Shiri, Judy Vun, Keith August, Małgorzata A. Witek, Steven A. Soper

Manuscripts, Articles, Book Chapters and Other Papers

Microfluidic systems combine multiple processing steps and components to perform complex assays in an autonomous fashion. To enable the integration of several bio-analytical processing steps into a single system, valving is used as a component that directs fluids and controls introduction of sample and reagents. While elastomer polydimethylsiloxane has been the material of choice for valving, it does not scale well to accommodate disposable integrated systems where inexpensive and fast production is needed. As an alternative to polydimethylsiloxane, we introduce a membrane made of thermoplastic elastomeric cyclic olefin copolymer (eCOC), that displays unique attributes for the fabrication of reliable valving. …

Lessons From Brazil: Implementing Participatory Budgeting In Albuquerque, Professor Marcelo Nerling, Latin American And Iberian Institute

LAII Events

Tuesday, September 10, 2024 | 03:00 pm - 05:00 pm

Latin American and Iberian Institute (801 Yale Blvd NE)

801 Yale Blvd NE (campus building #165)

About: Participatory budgeting is a democratic process in which community members directly decide how to allocate a portion of a public budget, giving them a say in funding decisions that affect their lives. Participatory Budgeting is being implemented in ABQ’s 6th City Council District. This form of participatory democracy originated in Porto Alegre, Brazil in the late 1980s, and has spread throughout the world. However, PB can be a very different political project depending …

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 …

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 K^b-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, K^b-TSYKFESV-specific CD8⁺ T cells fully protected male and female mice from …

The Prospector, September 10, 2024, Utep Student Publications

The Prospector

No abstract provided.

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.

Model Predictive Control Of A Grid-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, John Hedengren, Kody Powell, Matthew Memmott

Faculty Publications

This research delves into the integration and control of a Thermal Energy Storage (TES) system with a Small Modular Reactor (SMR), specifically the NuScale VOYGR SMR module in RELAP5-3D. The research methodology centered on modeling the NuScale VOYGR SMR, a light water pressurized water reactor (LWR) with a power output capacity of 77 MWe per module. The reactor and plant details were sourced from NuScale's final safety analysis report and supplemented by information from the NuScale website. The SMR plays a crucial role in energy generation, and to manage and dispatch the produced energy effectively, a robust storage system …

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.

Harnessing The Therapeutic Effects Of Nature For Chronic Pain: A Role For Immersive Virtual Reality? A Narrative Review, Alexander Smith, Kayleigh Wyles, Sonia Medina Herandez, Sophie Clarke, Patricia Schofield, Sam Hughes

School of Psychology

Background and Objective There is a growing interest in the relationship between nature and pain relief. Evidence from environmental psychology, neuroscience and physiology-based studies point towards analgesic effects of nature being mediated through various cognitive, affective and/or autonomic factors. Being able to harness these therapeutic effects using immersive virtual reality (VR) could help to optimize and improve accessibility of nature-based environments as part of chronic pain management plans. In this narrative review, we present evidence supporting a new theoretical framework for nature-based analgesia and suggest ways for applying this through immersive VR. Databases and Data Treatment We provide an overview …

Multi Attribute Neutrosophic Optimization Technique Foroptimal Crop Selection In Ariyalur District, Angammal S, Hannah Grace G, Nivetha Martin, Florentin Smarandache

Neutrosophic Sets and Systems

Ranking crops is a vital part of sustainable farming practices. A deliberate strategy that incorporates multi-criteria decision-making is essential for achieving sustainability in agriculture. The process of choosing crops involves a lot of unknowns and unpredictable elements. The neutrosophic set, characterized by the three independent degrees of truth (T), falsity (F), and indeterminacy (I), is more adept at handling incomplete data. The current study combines single-valued multi-criteria neutrosophic programming with the TOPSIS approach to examine the crop selection process in the Ariyalur district. This study incorporated expert advice and a thorough literature analysis to identify the fundamental criteria for developing …

On Neutrosophic Normed Spaces Of I-Convergence Diferencesequences Defned By Modulus Function, Vakeel A. Khan, Mohammad Arshad

Neutrosophic Sets and Systems

In this paper, we introduce the neutrosophic I-convergent difference sequence spaces I(Y) (Δ)(f) and I0(Y) (Δ) (f) defined by modulus function. Also, we define an open ball B(x, ϵ, γ)(f) in neutrosophic norm space defined by modulus function. Furthermore, We construct new topological spaces and look into various topological aspects in neutrosophic I-convergent difference sequence spaces I(Y) (Δ)(f) and I0(Y) (Δ) (f) defined by modulus function

Comparative Analysis Of Neutrosophic, Pythagorean Neutrosophic, And Fermatean Neutrosophic Soft Matrices In The Context Of Industrial Accidents: A Case Study, Smruthi P., Abinaya S., Dharunya S., R. Sundareswaran, Shanmugapriya M., Said Broumi

Neutrosophic Sets and Systems

Industrial accidents pose significant risks to human lives, the environment, and economic stability. This study presents a comparative analysis of three plithogenic frameworks—Neutrosophic soft sets, Pythagorean neutrosophic soft sets, and Fermatean neutrosophic soft sets—aiming to model and analyze industrial accidents. The primary objective is to evaluate the effectiveness of these soft sets in handling the uncertainties, complexities, and imprecisions inherent in accident data. Utilizing Dhar's (2021) algorithm for Neutrosophic soft matrices, we introduce a new parameter called a risk score, which consolidates various values for each industry or parameter into a singular magnitude. Our findings indicate that neutrosophic soft sets …

Neutrosophic Semi Δ-Preopen Sets And Neutrosophic Semi Δ-Pre Continuity, Mahima Thakur, F. Smarandache, S. S. Thakur

Neutrosophic Sets and Systems

The purpose of this paper is to introduce the concepts of neutrosophic semi δ-preopen sets and neutrosophic semi δ-precontinuous mappings in neutrosophic topological spaces and obtain some of their properties and characterizations.

Neutrosophic Sets And Systems {Special Issue: Mediterranean Conference On Three Decades Of Neutrosophic And Plithogenic Theories And Applications (Meconet 2024)}, Vol. 73, 2024, Florentin Smarandache, Mohamed Abdel-Basset, Giorgio Nordo, Maikel Y. Leyva-Vázquez

Neutrosophic Sets and Systems

the whole volume

Three Decades Of Neutrosophic And Plithogenic Theories With Their Applications (1995 - 2024), Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Evolution Of Physical, Thermal, And Mechanical Properties Of Poly(Methyl Methacrylate)-Based Elium Thermoplastic Polymer During Polymerization, Swapnil S. Bamane, Prathamesh Deshpande, Sagar Patil, Marianna Maiaru, Gregory Odegard

Michigan Tech Publications

Elium-based thermoplastic composites are a key material for future use in the marine, wind energy, and automotive industries because of their recyclability and ease of manufacture. To optimize the processing of the Elium composites to yield optimal structural properties, computational process modeling can be used to relate processing parameters to residual stresses and material durability. The key ingredient for reliable and accurate process modeling is the evolution of physical, thermal, and mechanical properties during polymerization. The objective of this study is to use molecular dynamics to predict the mass density, bulk modulus, shear modulus, Young’s modulus, Poisson’s ratio, glass transition …

A Comparison Of Reading Strategies Among Spanish Speaking University Students In Different Programs Of English For Specific Purposes Based On An Indeterminate Likert Scale, Andrea Sofía Ribadeneira Vacacela

Neutrosophic Sets and Systems

This study examines the relationships of reading strategies among different English for Specific Purposes (ESP) programs. Ninety-seven students in four ESP programs in Ecuador were surveyed regarding their reading strategies. The results found that there were not significant differences among the four strategies. These findings were dis-cussed regarding whether differences in reading strategies could potentially influence teaching effectiveness, learning outcomes, and English language applications. The survey was administered to a random sample ob-tained from four Ecuadorian universities for 97 ESP students. For the survey, we applied an Indeterminate Likert Scale. Unlike the classic Likert Scale, the indeterminate variant asks the …

A Note On Generalized Heptagonal Neutrosophic Sets, Subasree R, Basarikodi K, Saeid Jafari, G. Nordo

Neutrosophic Sets and Systems

The concept of a Generalized Heptagonal Neutrosophic set is introduced and its properties are examined in this paper. We also discussed about the interior and closure operators of the Generalized Heptagonal neutrosophic set.

Exploring Topological Characteristics Of Neutrosophic Banach Spaces, Pandiselvi. M, Jeyaraman. M

Neutrosophic Sets and Systems

The open mapping theorem, the closed graph theorem, and other topological characteristics of neurosophic Banach spaces are examined in this paper. Moreover, in neutrosophic normed spaces, the closedness characteristics of the sum of two linear operators has been studied.

New Multi‑Criteria Decision Making Technique Based On Neutrosophic Qualiflex Method, Antonios Paraskevas, Michael Madas

Neutrosophic Sets and Systems

The field of Multicriteria Decision Making (MCDM) has advanced significantly, with methods like QUALIFLEX playing a key role by integrating concordance and discordance measures for robust decision outcomes. This paper introduces an innovative extension, neutrosophic QUALIFLEX, which incorporates neutrosophic sets to better handle uncertainty and indeterminacy. Neutrosophic logic manages truth, indeterminacy, and falsity simultaneously, offering a nuanced approach compared to traditional models. The scope of this article is the application of neutrosophic QUALIFLEX to staff selection in business, a scenario often plagued by high uncertainty. Preliminary results show that neutrosophic QUALIFLEX provides superior performance, delivering more accurate and reliable rankings …

Improved Method Of Interval Valued Neutrosophic Matrix Composition And Its Application In Medical Diagnosis, S. Sathiya, A. Puspalatha

Neutrosophic Sets and Systems

Neutrosophic sets are an important branch of topology that addresses issues with inconsistent, indeterminate, and uncertain situations in everyday life. Interval valued neutrosophic sets, known as subclasses of neutrosophic sets, have been specifically designed to address problems with a set of numbers in the real unit of interval rather than just a single number. Interval valued neutrosophic(IVN) matrix plays an influential role in decision making problems with indeterminant and inconsistent information. The objective of the paper is to discuss the concepts and operations of IVN matrix theory and propose a newly concept of an improved method of IVN matrix composition …

A Neutrosophic Approach For Breast Mass Detection In Digital Mammogram Images, Sofia Jennifer J, Kalaivani C

Neutrosophic Sets and Systems

Breast cancer is the most common type of cancer that affect women and yet there is no substantive cure. On early diagnosis of breast lesions with this size using mammogram would help the affected tumor patients have a good survival rate. Detecting cancer cells is a challenging task and hence we propose a single valued neutrosophic approach for segmenting breast tumor lesions in mammogram images. In this neutrosophic approach, the intensity values are represented as truth, indeterminacy and falsity membership in where the indeterminacy are noise, and the breast regions are the true and falsity values. The computations of these …