Digital Commons Network^™

Power Supply Restoration Strategy Considering Regulation Capability Of Flexible Resources, Dejin Feng, Yi Zhao, Xiaoyi Qian, Wenyao Sun

Journal of Electric Power Science and Technology

The rapid development of new energy technologies will make them the main source of power generation in the future. However, the intermittent and fluctuating characteristics of new energy power generation make it highly susceptible to environmental influences. In view of insufficient power supply in urban distribution networks under extreme weather conditions, a power supply restoration strategy considering the regulation capability of flexible resources is proposed. Firstly, air conditioners and electric vehicles, which are typical adjustable flexible resources in urban distribution networks, are modeled, and their regulation capabilities are evaluated. Next, based on the evaluation results, the optimal power supply restoration …

Online Modeling Method Of Comprehensive Load Model For New Power System Based On Measurement Information, Guihua Qiu, Zijia Kuang, Shuhong Wu

Journal of Electric Power Science and Technology

The load model has an important influence on the simulation analysis results of the power system, but the current load modeling methods are difficult to adapt to the diversity and time-varying characteristics of the new power system load in terms of model accuracy and computational efficiency. To address this issue, an online modeling method of the comprehensive load model for the new power system based on measurement information is proposed. Firstly, the dominant factors affecting the comprehensive load model are analyzed based on the activation subspace of parameter space. Then, according to the characteristics of the daily output curve of …

Strategy For Improving Wind‑Solar Consumption Rate In Mountainous Cities Based On Vmd‑Bi‑Lstm And V2g, Li Cai, Bingjie Shang, Qingshan Xu, Juan Yan, Haihong Bian, Yi Zhang, Xiaojiang Zou

Journal of Electric Power Science and Technology

To address the current energy abandonment phenomenon of new energy sources such as wind power and photovoltaic power, an orderly charging and discharging strategy for electric vehicles (EVs) is proposed to promote wind-solar consumption. This strategy uses the vehicle-to-grid (V2G) interaction technology and aims to maximize the regional wind-solar consumption rate, minimize power load fluctuation, and maximize the power company’s electricity sales benefit in the context of mountainous cities by establishing a multi-objective charging model. The output of wind power and photovoltaic power is predicted using variational mode decomposition combined with a bidirectional long short-term memory (Bi-LSTM) network. Based on …

Research On Real‑Time Power Scheduling Optimization Considering Renewable Energy Characteristics, Guoming Luo, Xiaoyun Huang, Xinming Fan

Journal of Electric Power Science and Technology

In power systems with large amounts of renewable energy and high variability, conventional scheduling methods cannot adequately accommodate the effects of the above variability. A scheduling optimization method is proposed to evaluate the optimal unit participation factor by considering the variability of solar, wind, and load demand. Both sequential and dynamic models are used, and variability and uncertainty costs are considered in the optimization process. Since the participation factor fitting function is optimized only once at the beginning of the scheduling interval, the dimensions of the proposed scheduling optimization model are the same as those of the conventional method. The …

Ies‑Plan Platform‑Based Planning And Design Solution For Integrated Energy Systems, Mingyang Gao, Suyang Zhou, Wei Gu, Qingquan Chen, Yue Qiu, Aobo Guan

Journal of Electric Power Science and Technology

Establishing an integrated energy system (IES) is an effective means to promote the efficient utilization of energy resources. Reasonable planning and design software for IESs can provide tailored design solutions according to engineering needs. However, the lack of multi-scenario-compatible planning software remains a bottleneck for the widespread industrial application of IESs. To address this issue, a comprehensive and highly reliable IES plan (IES-PLAN) design platform has been developed to scientifically guide users in designing reliable, low-carbon, and efficient IESs. The platform offers a graphical interaction interface, allowing users to flexibly set planning scenarios and goals based on their needs. To …

Research On Coordinated Control Strategy Employing D‑Statcom Based On Voltage Transient Rate Of Change, Wenglong Li, Xiu Yang, Xiaoli Zhao, Danzhen Gu, Xuejun Xiong, Yajun Zhang, Yuyao Feng

Journal of Electric Power Science and Technology

To solve serious problems such as equipment shutdown caused by voltage dips due to short-circuit faults in distribution networks, a coordinated control strategy employing a distribution network static synchronous compensator (D-STATCOM) based on the voltage transient rate of change is proposed. Firstly, the control of voltage by the traditional control strategy is improved. An undervoltage module is activated when a short-circuit fault occurs in the distribution network, increasing the reactive power output of D-STATCOM to suppress the voltage dip during the fault. At the end of the fault, an overvoltage module is activated to decrease the reactive power output of …

Lindenwood Digest, July 23, 2025, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

July 23, 2025 Blazer Weekly, University Of Alabama At Birmingham

Blazer Weekly (student newsletter)

No abstract provided.

Fsec Meeting Minutes July 23, 2025, University Of Rhode Island Faculty Senate

Faculty Senate Executive Committee Minutes

No abstract provided.

Temporal And Generational Changes In Depression Among Young American Adults, Ashley W. Kranjac, Dinko Kranjac, Valentine Chung

Sociology Faculty Articles and Research

The prevalence of depression among young American adults has risen significantly over the past two decades, but the mechanisms that underlie the population-level changes in depressive symptoms severity remain unclear. We used data from the 2005–2023 National Health and Nutrition Examination Survey (NHANES) and hierarchical age–period–cohort (HAPC) analysis to examine developmental (i.e., age), life stage (i.e., period), and generational (i.e., cohort) distribution of depressive symptoms among American adults aged 20–30 years old over an 18-year period. Our model results indicate that the probability of either mild, moderate, or severe depression increased among young adult females and males between 2005 and …

Michael Aquino V. Michael Breede

2025 Decisions

USDC for the District of New Jersey

Usa V. Antuane Gregory

2025 Decisions

USDC for the District of New Jersey

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

New York City Housing Authority, Red Hook West Houses V. Mercado

All Decisions

The court granted a tenant's motion to vacate a final judgment and dismiss the non-payment petition without prejudice. The landlord, a housing authority, failed to use the mandatory Notice of Petition form prescribed by court rules, which resulted in a defective notice. The court found this was not a minor error but caused prejudice to the pro se tenant, as it omitted crucial information about available legal and financial resources. As a result, the final judgment and warrant of eviction were vacated, and the case was dismissed.

The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari

Journal of Accounting Auditing and Business

This study aims to analyze the effect of underwriter’s reputation and firm age on IPO pricing decision among companies that went public on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. A quantitative approach was employed using multiple linear regression to examine the relationships between variables. The study’s sample consists of 229 companies that conducted IPOs within the specified period. The independent variables include underwriter’s reputation, categorized based on transaction volume rankings, and firm age, calculated as the difference between the year of establishment and the IPO year. The dependent variable is IPO pricing decision, represented by …

Changing Aspen Stand Structure Following Large Carnivore Restoration In Yellowstone, Luke E. Painter, Robert L. Beschta, William J. Ripple

Aspen Bibliography

Restoration of large carnivores in northern Yellowstone National Park in the late 20th century resulted in a sustained reduction of Rocky Mountain elk (Cervus canadensis) and their herbivory, facilitating new growth of quaking aspen (Populus tremuloides) saplings. In 2020–21, we examined 87 randomly selected, previously sampled aspen stands across northern Yellowstone, combining random plots with stand-wide observations. Forty-three percent of stands contained a new cohort of small trees (5–10 cm dbh), the first documented recruitment of overstory aspen trees in northern Yellowstone since the 1940s. Both aspen saplings ( ≥2 m tall) and small trees were …

Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala

School of Computing: Dissertations, Theses, and Student Research

Multi-agent systems (MAS) possess significant potential for modeling real-world scenarios requiring coordinated actions (like wildfire fighting or ridesharing) among autonomous entities or agents (e.g., wildfire fighting agents) in complex, dynamic environments. Effective decision-theoretic planning (where each agent must carefully consider both the immediate and the future situations or states, and coordinate with the other agents (neighbors) to evaluate what needs to be done at present) within MAS, especially multiagent planning, where the planning agent directly models its neighbors in order to estimate their optimal actions, is critical, yet challenged by factors like partial observability, openness, and diverse agent types with …

Longitudinal Associations Between Waking Movement Behaviors And Health-Related Quality Of Life In Older Adults: A Compositional Data Analysis Approach, Jaclyn P. Maher, Alexander Jochim, Yeongjun Seo, Brynn L. Hudgins, Iman F. Khan, Peyton A. Greco, Emily M. Postlehwait, Om L. Patel, Krista S. Leonard, Chih-Hsiang Yang, Denver M. Y. Brown

Faculty Publications

Objectives

Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using …

An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin

Engineering and Technology

The proliferation of fake news across digital platforms poses a significant threat to democratic processes, public health, and social cohesion in the United States. Manual fact-checking and traditional moderation approaches are increasingly inadequate due to the scale, speed, and sophistication of misinformation campaigns. This presents an AI-driven framework for real-time fake news detection, designed to serve as an intelligent filter for news platforms operating within the US media ecosystem. Leveraging natural language processing (NLP) techniques and machine learning algorithms—including supervised classifiers and deep learning models such as BERT and LSTM—the framework identifies deceptive content with high precision and low latency. …

Physical Activity Mediates Age Differences In Cognition Among Tsimane Forager-Horticulturalists, Phoebe E. Imms, Nikhil N. Chaudhari, Daniel Cummings, Daniel Eid Rodriguez, Giuseppe Barisano, Paul L. Hooper, M. Katherine Sayre, Edmond Seabright, Randall C. Thompson, M. Linda Sutherland, James D. Sutherland, Benjamin C. Trumble, Michael Gurven, Jonathan Stieglitz, Caleb E. Finch, Hillard S. Kaplan, Wendy J. Mack, Margaret Gatz, Andrei Irimia

ESI Publications

Background: The Tsimane and Moseten of the Bolivian Amazon are highly physically active and exhibit low rates of cognitive impairment and brain atrophy.

Methods: We use structural equation modelling to examine how their physical activity levels mediate the relationship between (1) age and cognition, and (2) age and cognition via brain volume (BV).

Results: Tsimane males (n = 305, mean ± SD age = 59.94 ± 9.68) and Tsimane females (n = 265, mean ± SD age = 59.28 ± 9.79) exhibit significantly higher levels of physical activity than Moseten males (n = 106, mean ± SD …

Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

Montclair State University Scholarship & Creative Works

Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …

Utilizing The Combinatory Power Of Chemotherapeutic Compounds In Triple Negative Breast Cancer Cells, Matthew I. Hyder

Biology Summer Fellows

Breast cancer is the leading cause of cancer-related deaths among women worldwide and the second most common cause of cancer deaths in women in the United States. Genetic variants that increase the risk of breast cancer include mutations in the breast cancer susceptibility genes 1 and 2 (BRCA1 and BRCA2). Apoptosis, or programmed cell death, is a natural process that helps the body remove aged cells. However, in cancer, deregulated apoptotic signaling—especially the activation of anti-apoptotic mechanisms—enables cancer cells to evade this process, leading to uncontrolled proliferation, tumor survival, therapeutic resistance, and cancer recurrence. Most anti-cancer drugs function as chemotherapeutic …

The End Of Faith, The Beginning Of Glory, Maria Lai C.S.J.

Say Something Theological: The Student Journal of Theological Studies

On April 21, 2025, Pope Francis passed away after twelve years of remarkable service to the Catholic Church and to the world. This reflection centers on Francis’ papacy and legacy, asking important questions related to the meaning and purpose of life and inviting us to contemplate his discipleship as a follower of Jesus Christ.

Editor’S Introduction, Eryn Reyes Leong

Say Something Theological: The Student Journal of Theological Studies

Volume 8 of Say Something Theological is dedicated to Pope Francis, Pope Leo XIV, and the future of the Catholic Church. It features the work of Loyola Marymount University’s graduate theology students and staff, who offer thoughtful and well-reasoned papers that probe theological and pastoral questions relating to the Christian tradition and the concrete practice of the Christian faith.

Transmission And Distribution Coordination Model Considering Risk Of Flexibility Supply And Demand Imbalance, Zhongkuan Han, Yu Shen, Zhensong Zeng

Journal of Electric Power Science and Technology

A high proportion of distributed energy sources connected to the grid makes the problem of insufficient system flexibility increasingly prominent, while the coupling of transmission and distribution networks further increases. First, the traditional flexibility demand model is improved based on the probability box method, and the probability box boundaries are truncated through a variable confidence interval and the conditional value-at-risk method to improve the conservatism of the probability box boundaries. Subsequently, economic models of the transmission network and the distribution network are established, respectively, and a transmission and distribution coordination model considering the risk of flexibility supply and demand imbalance …

Ground Fault Detection Of Dc System Ring Network Based On Improved Hho‑Wnn, Zhen Yang, Yongxiang Li, Yanru Zhao, Juan Mo, Tao Gao

Journal of Electric Power Science and Technology

A direct current (DC) system is key to maintaining the normal operation of a substation. To address the difficulties of detecting ground faults in DC system ring networks, a ground fault detection method combining Harris Hawk optimization (HHO) and wavelet neural network (WNN) is proposed based on the traditional low-frequency signal injection method. The proposed method first collects the status of the ring network operation by low-frequency signal injection and then applies the Mallat wavelet decomposition algorithm to decompose the initial signal of each branch into four layers. The low-frequency coefficient waveforms are obtained, and the waveform energy is calculated …

Model Analysis Of Typical Areas With Safe Power Supply Via 10 Kv Lines, Wei Zhu, Ruzhou Hong, Aiyuan Li, Yanyao Zhou

Journal of Electric Power Science and Technology

Power supply via 10 kV lines is generally achieved in a radial branch structure, and low voltage problems are prone to occur at the end of the branch lines. The analysis of typical areas with safe power supply via 10 kV lines is the basis for the study of distribution network expansion and planning methods. The voltage drop characteristics of 10 kV lines are analyzed, and a simplified calculation method for the voltage drop along the line is derived. The power supply areas of the 10 kV distribution network are decomposed into four typical supply area models: rectangular, diamond-shaped, front-triangular, …

Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M

Theses and Dissertations

Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …

The Influence Of Myocardin Effector Genes On The Tgf-Beta Smad3 Signaling Pathway In Human Pleural Mesothelial Cells, Hema Chandra Hrushi Dusharla

Biotechnology Theses

Pleural Fibrosis (PF) involves excessive extracellular matrix (ECM) deposition, mainly by myofibroblasts, leading to pleural thickening and impaired lung function. Pleural mesothelial cells (PMCs) contribute via mesothelial and mesenchymal transition (MesoMT), triggered by cytokines like TGF-β. Our lab identified Myocardin (MyoCD), a transcriptional co-activator of cardiac and smooth muscle, is a master regulator of pleural fibrosis through interactions with serum response factor (SRF) and Smad2/3 transcription factors which initiate fibrosis signaling. RNA sequencing and qPCR analysis revealed that silencing MyoCD decreased the expression of CTNNB1, MDFI, and Tspan2. MDFI emerged as a potent candidate, as this gene affecting the expression …

Staff Education To Outpatient Healthcare Staff On Managing Patients With Aggressive Behaviors, Adeline Fonkem Asonganyi

Walden Dissertations and Doctoral Studies

The aim of this staff educational project was to improve staff knowledge by educating healthcare staff on how to minimize patients’ aggressiveness and provide a safer, more therapeutic environment for patients and healthcare providers. Patients with mental health problems can exhibit violent behavior, posing threats to patient safety and the safety of healthcare workers. To address this practice gap, I conducted a literature review; 509 articles were identified and then narrowed to 23 articles specific to this topic. The project question for my study was: Does implementing an educational program for nurses and mental health specialists on strategies to reduce …