Digital Commons Network^™

Ultra‑Low Frequency Oscillation Control Method Considering Dead Zone And Limiting Optimization Of Hydraulic Turbine Governor, Jiawei Wang, De Zhang, Yuzheng Xie, Ancheng Xue

Journal of Electric Power Science and Technology

The dead zone and limiting of a hydraulic turbine governor have a great influence on the characteristics of the ultra-low frequency oscillations (ULFOs), which can even lead to the oscillation of the positive damping system under large disturbance. However, the existing control methods for ULFOs mainly focus on optimizing proportional‑integral‑derivative (PID) control parameters of hydraulic turbine governors to improve system damping, without considering the dead zone and limiting parameters concurrently. This paper proposes a ULFO control method considering the dead zone and limiting optimization of the turbine governor and verifies its effectiveness and superiority. Firstly, in a non-smooth single hydro-generator …

Fault Line Selection And Section Location Method For Asymmetric Distribution Network Based On Fast Switch Arc Suppression Device, Fangyu He, Yanru Ni, Xiangjun Zeng, Kun Yu, Chao Zeng

Journal of Electric Power Science and Technology

In consideration of the problem of high-resistance grounding fault line selection and section location in asymmetric distribution networks, a fault line selection and section location method for asymmetric distribution networks based on the fast switch arc suppression device is proposed. Firstly, the basic principle of the fast switch arc suppression device is analyzed. On this basis, the electrical quantity properties of each feeder in the distribution system prior to and following the operation of the device are analyzed in depth after the high-resistance grounding fault occurs in the system. Through theoretical derivation, it is found that the fault feeder and …

A Two‑Stage Recovery Strategy For Damaged Distribution Networks Considering Cold Load Pick‑Up, Yongpeng Zhang, Lizhen Wu, Jianping Wei, Wei Chen

Journal of Electric Power Science and Technology

The development of intelligent distribution networks has improved the self-healing ability and recovery speed of the power grid. However, when the system encounters large-scale power outages, the recovery process becomes more complex. Therefore, in response to the problem of power interruption in damaged distribution networks, this paper proposes a two-stage recovery strategy for damaged distribution networks that takes into account cold load pick-up (CLPU), aiming to generate a power restoration plan for distribution networks with switch control actions. The first stage generates traditional recovery and distributed power-assisted island power supply recovery plans that support feeder reconfiguration. In the second stage, …

Optimal Business Expansion Model For Distribution Network Considering Load Timing And Power Source Matching, Fuhai Yu, Yongkuo Liu, Qiulin Ding, Chenglong Shen, Anqi Wang

Journal of Electric Power Science and Technology

When business expansion plans of new access loads are formulated for traditional distribution networks, their timing and controllable and interruptible loads are not considered, which can easily cause loads with the same characteristics to be concentrated in the same power source. As a result, the peak and valley values of the power point are overlapped, and thus equipment utilization and business expansion capacity are lowered. In response, this paper proposes an optimal business expansion model for distribution networks, which considers load timing and power source matching. Firstly, the paper proposes a fuzzy C-means clustering method based on the improved nutcracker …

Fault Detection In Switchgear Based On Rfid Sensors And Deep Learning, Zhen Wang, Ziquan Liu, Yongling Lu, Yujie Li

Journal of Electric Power Science and Technology

In order to improve the accuracy of switchgear fault detection, this paper proposes a fault detection algorithm for switchgear based on RFID sensors and deep learning. Firstly, RFID sensing tags are designed to collect the current signals and temperature of the switchgear. Secondly, the collected signals are subjected to deep-level feature extraction through a deep belief network (DBN), and sparse coding (SC) is integrated into the DBN to improve its detection accuracy. Finally, in order to improve the detection speed, an extreme learning machine (ELM) is used to classify and recognize the signals extracted from the features. The experimental results …

A Novel Reactive Power Support And Grounding Fault Control Composite Device Based On Station Resources, Lijun Tang, Xinjun Qian, Hongwen Liu, Chunming Tu, Zejun Huang, Qi Guo

Journal of Electric Power Science and Technology

Owing to the ability of both reactive power support (RPS) and grounding fault control (GFC), composite devices have attracted extensive attention. However, most existing composite devices have some disadvantages, such as high capacity and the need for additional power supply devices. To address these problems, a novel RPS and GFC composite device (RGCD) is proposed in this paper from the idea of making full use of existing station resources. Firstly, the topology and the operation principle of RGCD are introduced. The RGCD is composed of the capacitor and the arc suppression coil in the station and the multi-functional converter (MC). …

Comparison And Evaluation Of Grid‑Connected Performance Of Grid‑Following And Grid‑Forming Stations Based On Game Theory And Improved Topsis, Zhen'ao Yang, Junru Chen, Yushan Liu, Jiajun Guo, Xiqiang Chang

Journal of Electric Power Science and Technology

In order to quantitatively assess the frequency/voltage support effects of grid-following and grid-forming stations, an evaluation index system to quantify the performance of the stations is proposed, considering the power support density and energy support density. First, based on the output response characteristics of grid-following and grid-forming controlled generating units in renewable energy stations, the characteristic quantities of power, voltage, and frequency are observed over multiple time scales in terms of voltage and frequency stability. Second, the coupling relationship between the indicators is considered comprehensively, and the base weights of the indicators are derived using the best-worst method (BWM) and …

Photovoltaic And Energy Storage Charging And Switching Station Siting And Capacity Determination Method Considering Ultra‑High Power, Xiaonan Liu, Jian Zhang, Zhida Zhang, Jianing Duo, Shan Cheng, Shuang Hao, Yue Zhao, Haojie Wang

Journal of Electric Power Science and Technology

Existing studies in the planning of ultra-high power charging and switching stations lack a comprehensive depiction of user behavioral variability and stochasticity and the consideration of collaborative planning of distributed flexible resources such as photovoltaic and energy storage in the station. To this end, a two-tier siting and capacity determination method for integrated photovoltaic and energy storage charging and switching power stations involving multiple coupling factors is proposed. First, an electric vehicle charging and switching load prediction model considering user travel characteristics, temperature, and real-time road conditions is constructed. Second, to take into account user charging and switching needs and …

New Bypass Mmc Sub‑Module And Its Dc Fault Ride‑Through Strategy, Zhibo Wang, Ye Tian, Yidong Zhu

Journal of Electric Power Science and Technology

The DC short-circuit fault current cannot be blocked by the modular multilevel converter (MMC) with traditional half-bridge sub-module (HBSM), which reduces the reliability of MMC based high voltage direct current (MMC-HVDC) systems. In this paper, based on two HBSM systems, a new bypass sub-module named diode clamp dual-half-bridge sub-module (DCDHBSM) with DC fault current blocking capability is proposed. Compared with other sub-modules possessing DC short-circuit current blocking capability, the proposed DCDHBSM requires fewer power devices and has lower operation loss. Moreover, a DC fault ride-through strategy suitable for DCDHBSM is designed, and sorting algorithm is utilized to balance the post-fault …

Study On Electrical Features Of Inter‑Turn Insulation Fault Of 10 Kv Dry‑Type Air‑Core Series Reactor By Field‑Circuit Coupling Method, Lizhi Zhang, Chengjun Cao, Wei Zhang, Kaida Chen, Shijie Lei

Journal of Electric Power Science and Technology

The frequent occurrence of inter-turn short circuit faults of dry-type air-core series reactors in shunt capacitor sets gravely imperils the secure and steady operation of the power system. It is extremely crucial to research the variations of characteristic quantities prior to and subsequent to inter-turn short circuits in dry-type air-core series reactors. In this paper, Maxwell is used to establish the field-circuit coupling model, and the model accuracy is verified by comparing the calculated value of the analytical method with the test value of the manufacturer. On this basis, the inter-turn short-circuit model is constructed, and the electrical quantities when …

Vibration Characteristics And Signal Inversion Of Oil‑Immersed Transformer Based On Electromagnetic‑Structural Field, Feng Huang, Chun Guo, Bingbing Qiu, Xiaodan Qiu, Yi Yang, Fating Yuan, Ruiqing Ji

Journal of Electric Power Science and Technology

As critical equipment in the power system, the operation status of oil-immersed transformers directly affects the safety and stability of the power grid. Based on COMSOL, a finite element simulation software, a 10kV/400V oil-immersed transformer electromagnetic–structural multiphysics coupling calculation model is established to analyze the effect of added/unadded clamping devices on the core vibration displacement. On this basis, the vibration characteristics of the core, windings, and tank wall are analyzed, and their corresponding vibration acceleration signals are extracted. Subsequently, the Kendall and Spearman correlation coefficients are employed to calculate the correlation among the vibration signals of the core, windings, and …

A Hormone-Dependent Trna Half Promotes Cell Cycle Progression Via Destabilization Of P21 Mrna, Takuya Kawamura, Megumi Shigematsu, Yohei Kirino

Department of Biochemistry and Molecular Biology Faculty Papers

tRNA halves are among the most abundant short non-coding RNAs in the cellular transcriptome. Here we report that in androgen receptor-positive LNCaP prostate cancer cells, the hormone-dependent 5'-tRNALysCUU half promoted cell proliferation by facilitating cell cycle progression. Global mRNA profiling upon the 5'-tRNALysCUU half depletion revealed that the mRNA of p21, a negative regulator of the cell cycle, is post-transcriptionally destabilized via a 5'-tRNALysCUU half-driven mechanism. YBX1, identified as a protein interacting with 5'-tRNALysCUU half in the cytosol, was shown to stabilize p21 mRNA. Specific sequences resembling the 5'-tRNALysCUU half, located in the 3'-UTR of p21 mRNA and termed LL588, …

Local And Regional Pastors And Non-Profit Leaders Complete Gardner-Webb’S Searight Pace Grant Writing Course, Office Of University Communications

Gardner-Webb NewsCenter Archive

A group of ministers and non-profit leaders from local and regional ministries recently completed the Searight PACE course, “Grant Writing for Churches and Non- Profits.” Taught by Dr. Bobbie Cox, professor and chair of the Department of Public Service, the five-part series helped participants to develop the skills and resources needed to write successful grants.

Beyond Barriers: Supporting Formerly Incarcerated Students In American Higher Education, Carly Jean Colbert

Journal of Prison Education Research

The United States prison industry is the largest in the world. With the reintroduction of Second Chance Pell in 2015, more people are starting their education while incarcerated, and some attempt to finish after release. However, they are faced with numerous barriers that may prevent graduation. Drawing on Astin’s theory of student involvement, this mixed-methods study examines the challenges that formerly incarcerated people face while pursuing college degrees. Rather than focusing on access, this research focuses on the supports that institutions of higher education can establish to help formerly incarcerated students persist and successfully complete their undergraduate degrees. The findings …

Exploitation Of Plasma Treatment-Assisted Monocarboxylic Cobalt Phthalocyanine Nanorod Growth For High-Efficiency Photodetection Applications, Ahmed Ramzy, Ahmed M. El-Mahalawy, M A. Abd El Ghaffar, Wael A. Abbas

Nanotechnology Research Centre

Here, the effect of cobalt phthalocyanine (CoPC) functionalization by a monocarboxylic group in the form of thermally evaporated thin films followed by plasma treatment for variable time intervals is introduced. The effect of plasma treatment on crystalline structure, molecular structure, and morphology was examined using the XRD, FT-IR, and FE-EEM techniques. Significant modifications were observed in the crystal structure and morphology with increasing plasma treatment time intervals. The plasma treatment for 5 min enhanced the formation of the nanorods along the deposited surface with improved crystallinity. Tracking the optical properties variation of the deposited MCCoPc thin films under plasma treatment …

Amgen Inc V. Celltrion Usa Inc

2025 Decisions

USDC for the District of New Jersey

Nancy Lewen V. Pennsylvania Soldiers And Sailors Home

2025 Decisions

USDC for the Western District of Pennsylvania

Angel Martinez V. Superintendent Forest Sci

2025 Decisions

USDC for the Middle District of Pennsylvania

Automated Approaches To Interpreting And Explaining Machine Learning Models, Tilak Chandrashekar, Tarry Singh, Maged Shaban

SAML-25 Workshop on Statistical and Machine Learning

This paper proposes a novel framework for automating ML model interpretation and explainability across different applications with an emphasis on transparency, trust, and human-centric decisionmaking assistance. Although ML models, particularly advanced structures such as deep neural networks, possess superior predictive powers, their interpretability tends to be obscure, and thus their application in sensitive or regulated domains is impeded. Current XAI techniques, though promising, tend to be post-hoc and are not scalable for real-time or large-scale deployments. This study addresses such concerns by presenting an automated, modular pipeline where interpretation techniques are embedded in the process of developing the ML model. …

University Counseling Center Therapists' Perspectives Of Counseling About Nutrition, Ana Lucia Pacheco

Theses and Dissertations

This study examined university counseling center therapists' perspectives on discussing nutrition in therapy. Despite the established link between nutrition and mental health, minimal research has explored how therapists approach these discussions. This study used interpretative phenomenological analysis (IPA) to analyze semi-structured interviews with 10 university counseling center therapists from the Mountain West region. Four overarching themes emerged: a deficit view of nutrition, perceived utility, ethical practice, and holistic care. Therapists unanimously recognized the connection between nutrition and mental health and primarily discussed nutrition with clients presenting with eating disorders or disordered eating, those who express interest, or as part of …

Japanese And English Code-Mixing: A Study On The Grammar And Functions By L1 Japanese-Speakers In Oregon, Takefumi Ariga

Dissertations and Theses

This thesis examines the phenomenon of code-mixing (CM) among speakers of Japanese as their first language (L1) and of English as their second language (L2) residing in Oregon, the United States. Unlike prior studies that focus on early bilinguals or individuals with mixed linguistic and cultural backgrounds, this study specifically target speakers who began learning English in formal settings through compulsory education or a cram school in Japan. After they had completed high school in Japan, they started living in English-speaking countries.

The participants in this study were two communities. Each group recorded their conversations via their own cell phones, …

Tracking The Kinetics Cellular Glycolysis And Glutaminolysis Pathways Using Vibrational Spectroscopy, Combined With Multivariate Statistical And Machine Learning Approaches For Data Mining, Zohreh Mirveis, Nithin Patil, Hugh Byrne

SAML-25 Workshop on Statistical and Machine Learning

Understanding dynamic metabolic processes within living cells is crucial for gaining insights into cellular function and disease mechanisms. The kinetics of glycolysis and glutaminolysis pathways play significant roles, as alterations in their activity have been linked to various disorders, including cancer and mental health conditions such as bipolar disorder. These pathways therefore hold potential as biomarkers for disease diagnosis and therapy. However, real-time monitoring of their kinetics remains challenging due to the lack of suitable non-invasive techniques. Current gold-standard fluxomics approaches, such as mass spectrometry, are destructive to cells and thus unsuitable for time-resolved studies. In this study, we evaluate …

A Framework For Scalable And Controlled Hallucination Data Collection, Lin Ting Liang

Computer Science Senior Theses

This thesis addresses a key bottleneck in hallucination research: the scarcity and limitations of hallucination benchmark datasets. Existing datasets typically focus on a single type of hallucination and are expensive to produce due to the need for manual prompt creation and annotation. To overcome these challenges, we propose a novel mixture-of-experts (MoE) adversarial framework that actively induces hallucinations. Our framework employs three large language model (LLM) agents that iteratively and adversarially revise prompts to provoke hallucinated responses from a target question-answering model. It automates the generation of both intrinsic hallucinations (logical inconsistencies) and extrinsic hallucinations (inclusion of unverifiable external information). …

‘I Want To Break Free’ - Reflecting On The Use Of Educational Escape Rooms For Entrepreneurial Education And The First Year Experience, Jennifer Cowman

Irish Journal of Academic Practice

This reflective case study explores the use of Educational Escape Rooms (EERs) within a first-year business module at TU Dublin, developed in response to persistent engagement and retention challenges (Shah et al., 2021; Byrne et al., 2012). Using BreakoutEDU kits and guided by best practice principles including alignment, narrative, and debriefing (Nicholson, 2016; Veldkamp et al., 2020a), sequential EERs were implemented over two academic years. The design focused on key entrepreneurial competencies such as collaboration, communication, and problem-solving (Duggins, 2019; Hartman-Caverly, 2022), with tasks embedded in module topics on environmental analysis and introduction to marketing. Observational insights suggest EERs yielded …

Conquer And Prevail Issue 189 June 5 2025, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

Dominant Feature Identification And Index Construction Of Three‑Phase Voltage Imbalance In Substation Area, Wei Zhu, Ningxiao Huang, Huiying Shu, Jie Hu, Ming Tang

Journal of Electric Power Science and Technology

With a large number of power distribution substations (transformers), three-phase imbalance is a commonly observed issue. Due to the high randomness of single-phase loads in the substation area, the amplitude ranking of three-phase voltages and the imbalance degree according to the traditional algorithm change constantly. Based on the feature analysis of the sampled data, differences in the dominant phase amplitudes of three-phase voltages in each substation area during a certain period of time are obtained, identifying the severely unbalanced substation area for manual intervention. This serves as a feasible method to balance costs and benefits. A time-series matrix of the …

Transient Stability Assessment Of Power System In Combination With Update Mechanism, Songkai Liu, Xiao Gong, Chao Yang, Longcheng Liu, Yanzhang Li, Lei Zhang, Yating Zhang

Journal of Electric Power Science and Technology

Power system is a time-varying complex system. In recent years, data-driven machine learning method has been widely used in the field of transient stability assessment of power system. However, when the power system is subjected to a large disturbance and the working condition changes, the machine learning model needs to be trained according to the new operating data. Thus, it is difficult to timely respond to transient stability assessment of the system under the new topology structure. To solve this problem, a model update mechanism is proposed in this paper, which updates the model according to different conditions. In addition, …

Method For Power Grid Nodal Inertia Estimation Based On Maximum Likelihood Identification, Xinfan Jiang, Yonggang Liu, Mingrui Sun, Jinbo Wu, Jingwen Wang, Yunfeng Wen

Journal of Electric Power Science and Technology

In recent years, with the large-scale integration of power electronic interfaced power sources such as wind power and photovoltaics into the power grid, the overall inertia level of the power grid has decreased, and the nodal inertia has shown spatial distribution differences, significantly increasing the risk of system frequency instability. It is urgent to quickly evaluate the distribution of inertia in the power grid so that dispatch and operation personnel can timely formulate effective inertia control measures. Therefore, a method for estimating the power grid nodal inertia based on maximum likelihood identification is proposed. Firstly, by using frequency and active …

Traveling Wave Fault Location Method Of Transmission Line Based On Cpo‑Vmd, Jun Zhou, Zhenguo Qu, Ziang Zhan

Journal of Electric Power Science and Technology

To address the low detection accuracy of traveling wave heads for long-distance transmission line faults as well as the location deviation caused by the clock asynchronization of fault detection devices and the uncertainty of traveling wave velocity, this paper proposes a new fault location method for transmission lines based on improved variational mode decomposition (VMD) combined with Teager-Kaiser energy operator (TKEO) to detect the fault traveling wave head and the double-ended traveling wave location formula independent of timing and wave velocity. Firstly, the crested porcupine optimizer (CPO) is used to optimize VMD parameters. Then the line mode and zero mode …

Power Grid Fault Diagnosis Method Based On Improved Bayesian Network Model And Hht, Chongchong Wu, Jian Wang, Lihuiqian Gong

Journal of Electric Power Science and Technology

The safety and stable operation of power grid is the prerequisite for reliable transmission, transformation, and distribution. Therefore, when the power grid fails, it is very important to locate the fault quickly and accurately and shorten the fault time. Firstly, the information of component switching value and electrical quantity is obtained from the relevant monitoring system of the power grid. The initial decision table of relevant switching value information is formed according to the fault area, and the effective signal of electrical quantity information is extracted. Then, the rough set theory, Bayesian network, Hilbert-Huang transform (HHT), and other theories are …