Digital Commons Network^™

A Differential Equation–Based Epidemiological Model Of Post-Operative Chronic Pain In Scoliosis Patients With Data-Driven Analysis, Paige Zhu, Padmanabhan Seshaiyer

CODEE Journal

Chronic post-surgical pain (CPSP) is a common and often overlooked complication following surgical correction of idiopathic scoliosis, impacting long-term patient wellbeing despite improvements in surgical outcomes. This project introduces a novel epidemiological framework to model the progression of CPSP using a compartmental structure. By applying a coupled system of nonlinear differential equations, we simulate pain trajectories over time and assess the effectiveness of surgical interventions. The model is implemented for a single-cohort population and extended to a two-cohort design to compare outcomes between Posterior Spinal Fusion (PSIF) and Vertebral Body Tethering (VBT) procedures. Further stratification by patient age enables us …

Ai-Driven Detection Of Neurodevelopmental Disorder From Emotional Speech Using A Hybrid Cnn–Bilstm–Attention Framework, Nayarah Shabir, Parveen Lehana, Sheema Khan

School of Medicine Publications

Neurodevelopmental disorders (NDDs) are associated with impairments in communication, behavior, and social interaction, making accurate diagnosis clinically challenging. Autism Spectrum Disorder (ASD), a major NDD, often exhibits atypical speech patterns characterized by altered prosody and reduced emotional expressiveness. The study proposes a hybrid dual-path framework for ASD detection from emotional speech using two strategies: PCA–GMM-based acoustic modeling and a CNN–BiLSTM–Attention architecture for spectral–temporal feature learning. The proposed framework captures probabilistic, spectral, and temporal speech characteristics for robust ASD classification. Acoustic analysis demonstrated clear separability between ASD and non-ASD speech, while the deep learning framework achieved stable and reliable performance across …

Human Cancer Genomes Harbor The Mutational Signature Of Tobacco-Specific Nitrosamines Nnn And Nnk, Michael Korenjak, Nuri Alpay Temiz, Stéphane Keita, Bérénice Chavanel, Claire Renard, Cécilia Sirand, Jiehong Guo, Et Al.

Michigan Tech Publications

BACKGROUND: Tobacco use is linked to multiple cancer types and a quarter of cancer deaths. Tobacco smoke contains numerous mutagenic chemicals such as polycyclic aromatic hydrocarbons (PAH), however, the mutagenicity of many chemicals in tobacco products remains underexplored. The tobacco-specific nitrosamines 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and N'-nitrosonornicotine (NNN), both International Agency for Research on Cancer (IARC) Group 1 carcinogens, form pre-mutagenic pyridyloxobutyl (POB) DNA adducts, yet little is known about the associated genomic mutation landscape(s) in humans. METHODS: We applied bulk and error-corrected next-generation sequencing to a battery of experimental systems comprising mammalian cell lines and animals exposed to NNK or NNN, …

The Role Of Social Determinants Of Health In Hydroxyurea Adherence Among Persons With Sickle Cell Disease: A Systematic Review, Doreen O. Ugwu, Lori L. Vick, Terika Williams, Aurela Nikaj, Seyi Omeh, Benjamin Becerra Dr., Tilicia Mayo-Gamble

Journal of the Georgia Public Health Association

Objective: Georgia has one of the highest prevalences of sickle cell disease (SCD). For Georgians living with SCD, inadequate medication adherence is associated with important clinical outcomes. One important area that is understudied in SCD is the impact of social determinants of health (SDoH) on medication adherence. A foundational understanding of SDoH is needed to introduce, inform and carry out programs and interventions designed to facilitate hydroxyurea adherence through the state of Georgia.

Method: We conducted a systematic literature review to synthesize the literature on SDoH addressed in studies to improve hydroxyurea adherence in persons with SCD. SDoH were based …

Source-Load Extreme Scenario Generation Method For Integrated Energy Systems Based On Wgan-Gp, Zhengxing Zhong, Tong Xing, Chaoyu Xiong, Dechang Yang, Lijun Zhang

Journal of Electric Power Science and Technology

To enhance the operational security of integrated energy systems (IES) under extreme weather conditions, it is essential to fully consider the impact of extreme scenarios in production scheduling. However, because historical samples of extreme scenarios are scarce, IES face challenges in operational scenario modeling and scheduling, making effective methods for generating extreme scenarios highly significant. To address this issue, a method based on a Wasserstein generative adversarial network with gradient penalty (WGAN-GP) was proposed for generating source-load extreme scenarios in IES. By introducing the Wasserstein distance and gradient penalty, the proposed method improves model training stability, increases the diversity of …

Diagnosis Method For Gis Metal Particle Discharge And Mechanical Faults Based On Ultrasonic And Vibration Signals, Jialuo Chai, Shenjiong Yao, Tongtong Lu, Yingjing Chen, Zhousheng Zhang

Journal of Electric Power Science and Technology

Metal particle discharge and mechanical faults inside gas insulated switchgear (GIS) are key factors affecting its safety performance. These faults can be detected and identified using the ultrasonic and vibration signals generated by them. Simulated experiments of four types of particle discharge, normal operation, and flange bolt loosening were designed on a GIS platform, and the time-frequency domain characteristics of the signals were analyzed. It is found that, in the ultrasonic signals, the frequency bands of linear, spherical, and lump particle discharges are mainly concentrated in 50–60 kHz, while that of flaky particle discharge is concentrated in 15–30 kHz; in …

Lqr Control Based On Ga Optimization For Suppressing Power Oscillations In Fractional-Order Vsg, Jun Zhu, Zhengbin Chen, Jiantang Chen, Haozhuo Wei, Penghui Liu, Ming Yang

Journal of Electric Power Science and Technology

A linear quadratic regulator (LQR) optimized based on the genetic algorithm (GA) was designed to suppress power oscillations in a virtual synchronous generator (VSG) under external disturbances. A state-feedback LQR controller was designed by establishing a small-signal model of the VSG power loop. To optimize the control performance, the GA was used to perform offline optimization of the weight-matrix parameters of LQR. The weight-optimized LQR control law was applied to the fractional-order VSG. The simulation results show that, compared with traditional VSG control, the proposed control strategy can effectively suppress power oscillations, reducing the oscillation overshoots of active and reactive …

A Novel Fault-Tolerant Control Strategy Under Submodule Faults Of Modular Multilevel Converters, Yu Guo, Xiangyang Xia, Runwu Li, Rui Yi

Journal of Electric Power Science and Technology

To address the problems of asymmetric arm operation and fundamental and second-harmonic circulating currents caused by submodule faults in a modular multilevel converter (MMC) under hot standby in a flexible direct current system, a fault-tolerant control strategy coordinated by an improved PIR circulating current control and an inner-loop current sliding mode control is proposed. By introducing a three-parameter notch filter to precisely separate the circulating current components, the improved PIR control achieves the coordinated suppression of fundamental and second-harmonic harmonics. Simultaneously, the traditional PI inner-loop control is replaced by the sliding mode control to significantly improve the dynamic response speed …

Modeling And Stability Improvement Methods For Grid-Connected Systems Of Heterogeneous Distributed Photovoltaic Interconnected Inverters, Diyang Gong, Xiangjin Wang, Junhao Li, Jiayuan Gao, Shuai Huang

Journal of Electric Power Science and Technology

After grid-following and grid-forming heterogeneous interconnected photovoltaic inverters are connected to the power grid, interactive influences easily occur, resulting in the instability of grid-connected inverters and threatening the safe and stable operation of the new energy grid-connected system. Therefore, considering the dynamic influence of photovoltaic direct current side voltage, small-signal impedance models of grid-following, grid-forming, and their interconnected heterogeneous distributed photovoltaic inverters connected to the grid were constructed, respectively, and the adaptability of heterogeneous grid-connected inverters to grid impedance was analyzed. Meanwhile, to expand the adaptation range of heterogeneous interconnected systems to grid impedance and promote the consumption of new …

Optimization Method For Selection And Capacity Configuration Of Electrochemical Energy Storage Batteries Based On Ew-Ahp, Zhouping Shan, Xingwei Zhang, Yu Ming Zhang, Luyu Liu, Hongming Yang

Journal of Electric Power Science and Technology

With the large-scale application of battery energy storage in diverse power system scenarios, the matching of energy storage battery selection with scenario requirements becomes an important issue in power system energy storage planning. Therefore, an optimization selection and capacity configuration method for electrochemical energy storage batteries combining the entropy weight (EW) method and the analytic hierarchy process (AHP), named EW-AHP, was proposed. Firstly, the differentiated requirements of two typical scenarios, peak shaving and frequency regulation, for energy storage batteries were analyzed, and the selection evaluation system and hierarchical structure of the battery energy storage system were established. Secondly, the subjective …

Two-Stage Optimal Scheduling Of Wind-Storage Combined Power Generation System Based On Improved Beetle Swarm Algorithm, Shuai Xiao, Zhiyong Lin, G Chuyu Zhen, Zhiguo Ouyang, Lirou He, Xue Yu

Journal of Electric Power Science and Technology

To solve the problem that wind farms equipped with energy storage systems are difficult to balance the grid peak shaving demand and their own operational efficiency under the condition of limited local information, a two-stage optimal scheduling model for wind-storage combined systems with localized information is proposed. In the day-ahead optimal scheduling stage, based on the easily obtainable total system load curve, the charging and discharging power of the energy storage is actively optimized with the goal of minimizing the peak-valley difference of the net load at the grid connection point; under the premise of not relying on global information, …

An Adaptive Multi-Objective Reactive Power Optimization Control Strategy For Wind-Integrated Power Systems Based On Swarming Genetic Algorithm, Haoyu Liu, Yuan Zhao, Pengfei Dai, Xin Tang, Chongru Liu

Journal of Electric Power Science and Technology

An adaptive multi-objective reactive power optimization control strategy considering the scenario partitioning of wind turbines is proposed to address the issues of voltage fluctuation and reactive power imbalance in new power systems caused by the strong randomness and intermittency of wind power. A multi-scenario collaborative optimization model is constructed using the Weibull wind speed probability distribution. A comprehensive reactive power index based on scenario partitioning is proposed to quantify the impact of wind power output uncertainty, and a dynamic weighting mechanism is designed to adaptively balance the objectives of voltage security and network loss economy. A swarming genetic algorithm, which …

Multi-Objective Interval Optimal Dispatch Method For Regional Power Grid Considering Hydrodynamics, Xiaofeng Yu, Xuan Sheng, Baohua Zhong, Rixin Luo, Shunjiang Lin

Journal of Electric Power Science and Technology

The uncertainties of the power output of renewable energy stations such as wind power and photovoltaic and the hydrodynamic characteristics of the river channel connecting various run-of-river hydropower stations pose a great challenge to the generation dispatch scheduling of the regional power grid containing wind power-photovoltaic-run-of-river hydropower. The Saint-Venant equations are used to describe the dynamic relationship between flow rate and water level in the river channel. The numerical solution of the equations is obtained by the Preissmann difference method, and the convexified equations are further obtained through McCormick envelope and convex envelope relaxation methods. Interval numbers are used to …

Adaptive Reclosing Strategy For Active Distribution Networks Considering Secondary Arc, Zhenxing Li, Xiaorong Zhang, Cong Hu, Yi Zhu, Ruofan Huang, Hanli Weng, Qiujie Wang

Journal of Electric Power Science and Technology

In view of the problem that the current adaptive reclosing scheme for active distribution networks recloses after an inherent delay upon identifying the disappearance of faults, without considering whether the accompanying arc is completely extinguished, an adaptive reclosing strategy for active distribution networks considering secondary arc was proposed. First, measurement points were set at the circuit breaker of the faulted line and the new energy outlet, and the reclosing and new energy off-grid operations were realized without interconnection communication according to the in-situ measured quantities of the two locations. Second, a secondary arc model of the distribution network was established, …

Optimal Power Flow Solving And Feasibility Restoration Method For Distribution Networks Based On Deep Learning, Ji Chen, Huihuang Cai, Weidong Zhong, Minghua Chu, Huan Long, Ziqing Shi

Journal of Electric Power Science and Technology

As the core of optimal dispatching decision-making for distribution networks, optimal power flow (OPF) urgently requires fast calculation methods under large-scale grid frameworks. A deep learning-based OPF solving method oriented toward feasibility restoration was proposed. First, an OPF solving architecture based on state-control variable decomposition was constructed, and an OPF state variable solving model was built based on a deep neural network. Second, to address the problem that OPF results based on deep neural networks fail to satisfy control variable constraints, samples with inequality constraint violations were screened to construct a correction sample set; considering actual physical constraints and supply-demand …

High-Impedance Ground Fault Identification Method For Distribution Networks Based On Data-Knowledge Joint Driving, Ming Chen, Tianle Li, Yilin Chen, Yang Li, Feng Deng

Journal of Electric Power Science and Technology

When a high-impedance ground fault occurs in a distribution network, traditional knowledge-driven methods suffer from low accuracy in threshold selection, while data-driven methods have poor interpretability due to the lack of mechanism support. To address this problem, a data-knowledge joint-driven approach was proposed for identifying high-impedance ground faults in distribution networks. First, wavelet packet time-frequency entropy was used to quantitatively analyze the panoramic characteristics of high-impedance ground faults and normal disturbance conditions, thus revealing significant differences in their time-frequency distributions. Then, by qualitatively analyzing the characteristics of time-frequency energy spectrum matrices at different fault points, the knowledge-driven identification method based …

Dynamic Interleaved Charging And Discharging Strategy For Electric Vehicles Coupling Travel Chains And Regional Characteristics, Qin Yan, Jinxin Wang, Jun Wu, Qisheng Wang, Daoyi Gu

Journal of Electric Power Science and Technology

In view of the increasingly significant differences in the spatiotemporal distribution of regional loads caused by the large-scale development of electric vehicles, an optimization strategy for regional dynamic interleaved electricity prices based on travel chains was proposed, and a three-dimensional coupling mechanism of “user travel characteristics, regional load characteristics, and dynamic time-series response of electricity prices” was constructed to meet the differentiated electricity demand in different regions. Firstly, based on the travel chain theory, the time characteristics of cross-regional movements of electric vehicles were analyzed, and the temporal correlation of electricity price strategies in each region was dynamically adjusted: in …

Layered Energy Management Strategy For Extended-Range Electric Vehicles, Jiayi Wang, Ci Tang, Min Luo, Shihui Zhou, Zhenzhong Wang

Journal of Electric Power Science and Technology

To improve the overall fuel economy of extended-range electric vehicles and optimize battery usage, a hierarchical energy management strategy combining the advantages of model predictive control and fuzzy control was proposed to address the trade-off between real-time control and optimal performance in electric vehicle energy management. An energy flow model for an extended-range electric vehicle, consisting of a generator set, a hybrid energy storage system, and an electric motor, was developed. To optimize equivalent fuel consumption, optimal power allocation between the range extender and the hybrid energy storage system was determined through online rolling optimization using a model predictive controller. …

Preventive Control Method For Transient Stability Of Power System With Wind Power Based On Hybrid Improved Grey Wolf Algorithm, Songkai Liu, Yifan Zhao, Lei Zhang, Wenpei Ding, Yukun Ai, Yuheng Wu, Biqing Ye

Journal of Electric Power Science and Technology

To address the influence of large-scale wind power generation on power system stability, a new preventive control method for the transient stability of power systems was proposed. Firstly, the expression of wind power output was established based on the Weibull distribution. Secondly, in a system containing wind power, energy storage, and flexible load, taking the lowest adjustment cost as the objective function, a transient stability estimator based on a stacked ensemble deep belief network was used as the transient stability constraint to construct a preventive control model. Finally, to solve the problems of insufficient population diversity and easy trapping into …

Multi-Dimensional Feature Fusion Identification Of Tree-Line Grounding Faults, Lei Han, Chun Chen

Journal of Electric Power Science and Technology

High-resistance grounding faults induced by tree-line contact are characterized by weak signal features and difficult fault localization, and are one of the significant hidden risks in power grid operations. Existing studies mostly focus on the feature extraction, monitoring, and early warning of faults, but there are still deficiencies in the precise identification and classification of tree-line grounding faults. To address this issue, a tree-line grounding fault identification method combining Bayesian optimization-extreme gradient boosting (Bayes-XGBoost) was proposed. First, a tree-line grounding fault simulation model was established to simulate the zero-sequence current characteristics of different tree species under high-resistance grounding faults, and …

Generalized Load Modeling Based On Som-Gwo-Tcn Integrated Algorithm, Qikai Zhao, Ying Wang, Jia Min Lyu, Wenqian Fang, Yi Ru, Di Zheng

Journal of Electric Power Science and Technology

To address the complication of load characteristics caused by the extensive integration of distributed generation into distribution networks, a high-precision generalized load modeling method is proposed. Firstly, the self-organizing map (SOM) neural network is utilized to perform feature extraction and dimensionality reduction on grid node load data, and nodes with similar dynamic characteristics are divided into typical subnetwork systems through unsupervised clustering. Secondly, the grey wolf optimization (GWO) algorithm is adopted to perform global optimization on the hyperparameters of the temporal convolutional network (TCN), establishing a generalized load model for the subnetwork systems. Finally, simulation experiments based on the IEEE …

Design Method For End Shape Of Explosion-Proof High-Voltage Cable Joints Based On Virtual Objective Optimization, Xiang Gao, Xin Yang, Honghua Hu, Yafei Huang, Wei Qiu, Yangning Chen, Rui Qin

Journal of Electric Power Science and Technology

For the explosion-proof weak points at the end of the intermediate joint of high-voltage cables, an optimization design method for the end of the explosion-proof copper shell was proposed. By using a finite element calculation method coupling the temperature field, displacement field, and flow field, the stress concentration factor K at the copper shell end of the joint under different deflection angles α was calculated; then, under the deflection angle with the minimum stress concentration factor, a circularization and copper shell thickness coordination design was conducted. Orthogonal experimental design is conducted on the two arc curvature radii and the thickness …

Low-Carbon Optimization In Master-Slave Game Of Integrated Energy System Considering Demand Response Guided By Carbon Quota, Yan Zhang, Ruifang Li, Jian Zhao, Ying Wang, Chuang Song

Journal of Electric Power Science and Technology

To build a green and low-carbon energy operation mode, it is of great significance to study the coordination between carbon quota and demand response, as well as the low-carbon and clean characteristics of hydrogen energy. Therefore, a low-carbon coordinated optimization strategy for the master–slave game of electricity–heat–gas–hydrogen integrated energy system (IES) based on comprehensive demand response guided by carbon quota is proposed. First, given the low-carbon and clean characteristics of hydrogen energy, a hydrogen energy utilization system composed of an electrolytic cell, a methane reactor, and a hydrogen fuel cell is introduced, and an electricity–heat–gas–hydrogen IES coupling model is constructed. …

Fuzzy Robust Low-Carbon Optimal Scheduling Of Island Park Multi-Microgrid Considering Green Hydrogen Trading And Offshore Wind Power–Based Hydrogen Production, Xiaodan Wang, Huanhuan Han, M Ingge Li, Sixing Ji, Boyang Zheng

Journal of Electric Power Science and Technology

Research on offshore wind power-based hydrogen production technology provides an effective way for meeting the energy supply-demand of remote island users and promoting the realization of the goals of “carbon peaking and carbon neutrality.” Therefore, a fuzzy robust optimal operation strategy for an island park multi-microgrid system considering offshore wind power-based hydrogen production and green hydrogen trading was proposed. Firstly, the operation mechanism of offshore wind power-based hydrogen production was explored, and an offshore wind power-based hydrogen production system integrating seawater desalination, offshore wind power-based hydrogen production, hydrogen compression, and hydrogen transportation was constructed. Secondly, to improve green hydrogen consumption, …

High-Frequency Direct Current Converter Based On Gallium Nitride Devices And Planar Magnetic Technology, Zhiyuan Ma, Zhong Xu, Yiping Cui

Journal of Electric Power Science and Technology

With the rapid development of electric vehicles and the energy storage industry, the production scale of high-rate batteries such as lithium batteries expands continuously, and the efficiency and power density of direct current converters in the battery formation process become research hot spots in the industry. In view of the shortcomings of traditional high-gain direct current converters, such as the high voltage stress of high-voltage side devices, the large current stress of low-voltage side devices, and the low efficiency and power density, a high-gain direct current converter topology suitable for the intermediate stage of the battery formation power supply system …

What Strategies Do Some It Leaders Use To Prevent Ransomware Attacks On Healthcare Computer Networks, Sherraine Michelle Houston

Walden Dissertations and Doctoral Studies

No abstract provided.

Elementary Teachers’ Experiences Providing Feedback During 1:1 Writing Conferences, Trina Gould Williams

Walden Dissertations and Doctoral Studies

No abstract provided.

Black Faith-Based Organization Leaders And Their Role In Mental Health, Alyssa Te'rese Green

Walden Dissertations and Doctoral Studies

Blacks age 65+ have more mental health issues than others but underutilize mental health services because of stigma. The purpose of this generic qualitative study was to identify what leaders in Black faith-based organizations believe their role is in supporting their congregants in accessing/attaining mental health services and how they provide support to their elderly congregants who may not have social support that could identify mental health issues. The health belief model and theory of planned behavior were used to explore mental health knowledge and support for the elderly congregants of faith-based organizations. Semistructured interview data from 10 Black religious …

Comprehensive Study On Explainable Artificial Intelligence For Enhanced Decision-Making, Eman Taher, Wessam H. El-Behaidy, Doaa S. Elzanfaly

Computer Science

Artificial Intelligence (AI) models are often criticized for their black-box nature, particularly in high-stakes domains such as finance, healthcare, and business decision-making, where transparency, accountability, and trust are essential. As machine learning advances with more complex architectures, including deep neural networks and ensemble models, the need for explainability becomes increasingly critical. This study focuses on Explainable Artificial Intelligence (XAI) as a key approach to enhance interpretability in classification, regression, and clustering tasks that serve as the foundation of data-driven analytical systems. XAI methods such as SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and Integrated Gradients provide a means …

Perspective On Lessons Not Learned: From Coley’S Toxins To Microbial Drug Delivery, Guidance For Institutional Review Boards (Irbs), Brian P. Hanley, Alejandro J. Betancourt, Gustavo Gross, Wilbur (Bo) Bowne

School of Medicine Publications

The bacterial and toxin methods of cancer treatment date back 130 years. This paradigm rests on nonspecific bacterial-toxin-generated immunotherapy. This high-risk oncology research is experiencing a renaissance of methods that are among the most effective yet. Glioblastomas and other resistant cancers are the modern touchpoint, because of remission history following sepsis. Spurred by recent research deaths, we discuss protocols IRBs should consider in live bacterial or synthetic immuno-stimulatory trials. Human systemic inflammatory response syndrome immunology is unique due to non-functioning SIGLEC-13 and 17, which control excessive Toll-like receptor 4 (TLR-4) signaling. This is not a technicality like human CD8+/CD4+ T …