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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 Jul 2026

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 …

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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 Jul 2026

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, …

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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 Jul 2026

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 …

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Multi-Objective Interval Optimal Dispatch Method For Regional Power Grid Considering Hydrodynamics, Xiaofeng Yu, Xuan Sheng, Baohua Zhong, Rixin Luo, Shunjiang Lin Jul 2026

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 …

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Adaptive Reclosing Strategy For Active Distribution Networks Considering Secondary Arc, Zhenxing Li, Xiaorong Zhang, Cong Hu, Yi Zhu, Ruofan Huang, Hanli Weng, Qiujie Wang Jul 2026

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, …

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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 Jul 2026

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 …

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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 Jul 2026

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 …

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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 Jul 2026

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 …

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Optimized Configuration Of Power Sources For Distributed Photovoltaic Power Stations Based On Bi-Level Programming, Xing He, Shuai Yang, Cong Wu, Rui Huang, Mouhai Liu Jul 2026

Optimized Configuration Of Power Sources For Distributed Photovoltaic Power Stations Based On Bi-Level Programming, Xing He, Shuai Yang, Cong Wu, Rui Huang, Mouhai Liu

Journal of Electric Power Science and Technology

The large-scale integration of distributed photovoltaics (DPV) poses significant threats to the safe and stable operation of distribution networks, creating an urgent need to optimize the configuration of power resources. A bi-level programming model that considers the dynamic clustering of DPV was proposed; it uses an improved adaptive genetic algorithm for dynamic DPV cluster partitioning. Based on the proposed bi-level programming model, the dynamic optimized configuration of power resources was achieved, node voltages were maintained, and power losses were reduced. The results show that, compared with the voltage optimization scheme, the comprehensive optimization approach reduces the total cost by 4.68%. …

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Layered Energy Management Strategy For Extended-Range Electric Vehicles, Jiayi Wang, Ci Tang, Min Luo, Shihui Zhou, Zhenzhong Wang Jul 2026

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. …

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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 Jul 2026

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 …

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Collaborative Planning Of Distributed Energy Storage In Industrial Parks Considering Stepped Carbon Trading And Demand-Side Response, Shuai Huang, Jing Gao, Jinya Zhou, Keteng Jiang, Jian Xiong, Caiqian Wang, Qian Hu Jul 2026

Collaborative Planning Of Distributed Energy Storage In Industrial Parks Considering Stepped Carbon Trading And Demand-Side Response, Shuai Huang, Jing Gao, Jinya Zhou, Keteng Jiang, Jian Xiong, Caiqian Wang, Qian Hu

Journal of Electric Power Science and Technology

With the aggravation of global climate change and the energy crisis, distributed energy storage systems play an important role in reducing users’ energy consumption costs and carbon emissions. However, few studies fully consider the synergy of various demand-side responses and flexible resources when planning distributed energy storage systems. To solve this problem, first, a stepped carbon trading calculation method considering carbon quotas and a characterization method for demand-side responses were proposed, and the elasticity matrix was used to characterize the transfer-type and reduction-type responses. Then, a collaborative planning method for distributed energy storage in industrial parks considering stepped carbon trading …

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Research On Resonance Detection And Suppression Methods For Wind Farms With Svg, Jikai Chen, Ziming Mu, Shuangshuang Yao, Qianxin Li, Jiayang Zhang, Zhuang Chu, Haoru Li Jul 2026

Research On Resonance Detection And Suppression Methods For Wind Farms With Svg, Jikai Chen, Ziming Mu, Shuangshuang Yao, Qianxin Li, Jiayang Zhang, Zhuang Chu, Haoru Li

Journal of Electric Power Science and Technology

To address the resonance problem of wind farms with grid-following (GFL) static var generator (SVG), a resonance detection model based on the fuzzy cognitive map (FCM) algorithm was proposed. Granular computing combined with Fourier transform was used to preprocess the operation data of the constructed wind farm. Based on the processed data, the model was trained, and the detection accuracy test was completed. By using the overall sequence impedance model of the constructed wind farm combined with the impedance analysis method, the influence of SVG using GFL and grid-forming (GFM) control on the overall stability of the wind farm system …

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Multi-Dimensional Feature Fusion Identification Of Tree-Line Grounding Faults, Lei Han, Chun Chen Jul 2026

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 …

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Generalized Load Modeling Based On Som-Gwo-Tcn Integrated Algorithm, Qikai Zhao, Ying Wang, Jia Min Lyu, Wenqian Fang, Yi Ru, Di Zheng Jul 2026

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 …

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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 Jul 2026

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 …

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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 Jul 2026

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. …

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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 Jul 2026

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, …

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Early Warning And Fault Diagnosis Of Abnormal States In Key Components Of Power Maintenance Equipment Under Complex Disturbance Of Power Grid Lines, Zhuang Liu, Huanqing Cai, Guiwei Shao, Houxuan Liu, Zhike Wen, Bo Zhang Jul 2026

Early Warning And Fault Diagnosis Of Abnormal States In Key Components Of Power Maintenance Equipment Under Complex Disturbance Of Power Grid Lines, Zhuang Liu, Huanqing Cai, Guiwei Shao, Houxuan Liu, Zhike Wen, Bo Zhang

Journal of Electric Power Science and Technology

Transmission line maintenance is an important way to ensure highly reliable power supply. The adoption of intelligent power maintenance equipment to replace manual labor has become a trend. Transmission line maintenance equipment operates in the environment of high-altitude strong wind disturbance and strong electric interference for a long time, and its key components are easily damaged, which leads to failures. Therefore, it is significant to accurately diagnose the faults of intelligent power maintenance equipment for ensuring the safe and stable operation of the power grid. In this paper, spatial-temporal graphs are created from the measured signals by short-time Fourier transform, …

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High-Frequency Direct Current Converter Based On Gallium Nitride Devices And Planar Magnetic Technology, Zhiyuan Ma, Zhong Xu, Yiping Cui Jul 2026

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 …

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The Relationship Between Emotional Intelligence And Leadership Styles Among African American Female Law Enforcement Supervisors, Hudson Cutno, Jr. Jul 2026

The Relationship Between Emotional Intelligence And Leadership Styles Among African American Female Law Enforcement Supervisors, Hudson Cutno, Jr.

Walden Dissertations and Doctoral Studies

No abstract provided.

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Elementary Teachers’ Experiences Providing Feedback During 1:1 Writing Conferences, Trina Gould Williams Jul 2026

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

Walden Dissertations and Doctoral Studies

No abstract provided.

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Mandatory Arrest Laws: Breaking The Cycle Of Violence In Colorado And Nebraska, Ryann Lavata Livingstone Jul 2026

Mandatory Arrest Laws: Breaking The Cycle Of Violence In Colorado And Nebraska, Ryann Lavata Livingstone

Walden Dissertations and Doctoral Studies

No abstract provided.

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Parental Participation And Engagement In North Carolina Medicaid Enhanced Mental Health Services For Children And Adolescents, Jonathan Andrew Traylor Jul 2026

Parental Participation And Engagement In North Carolina Medicaid Enhanced Mental Health Services For Children And Adolescents, Jonathan Andrew Traylor

Walden Dissertations and Doctoral Studies

Parental participation and engagement (PPE) are positively associated with improved treatment outcomes for children receiving mental health services; however, parental involvement remains inconsistent among culturally diverse and economically disadvantaged families served through North Carolina Medicaid enhanced mental health services. Barriers to communication, collaboration, and sustained engagement may limit parents’ active participation in treatment planning and service delivery. The purpose of this basic qualitative study was to explore PPE among culturally diverse and economically disadvantaged parents whose children received North Carolina Medicaid enhanced mental health services. The ecological perspective of human development constituted the theoretical framework for this study. Data were …

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Effective Strategies For Retaining Millennial Employees In Small Southern Retail Businesses, Justin Nathaniel Moore Jul 2026

Effective Strategies For Retaining Millennial Employees In Small Southern Retail Businesses, Justin Nathaniel Moore

Walden Dissertations and Doctoral Studies

Small retail businesses in the Southern United States continue to experience costly millennial employee turnover, threatening workforce stability and long-term business sustainability. This issue is important to small Southern retail business owners because turnover increases staffing costs, disrupts customer service, and weakens organizational performance. The purpose of this qualitative pragmatic inquiry was to explore strategies some small Southern U.S. retail business owners use to improve millennial employee retention. The job demands–resources model grounded the research project. Participants were six owner-operators in Virginia, Alabama, and Tennessee with at least 5 years of leadership experience managing millennial employees. Data were collected through …

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Black Faith-Based Organization Leaders And Their Role In Mental Health, Alyssa Te'rese Green Jul 2026

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 …

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Telling On Themselves: A Qualitative Study On The Linguistic Markers Of Deception In High-Stakes Speech, James Butcher Jul 2026

Telling On Themselves: A Qualitative Study On The Linguistic Markers Of Deception In High-Stakes Speech, James Butcher

Walden Dissertations and Doctoral Studies

Deception detection in forensic and legal settings has historically relied on behavioral and nonverbal cues. Extensive research has demonstrated that these indicators are unreliable and prone to bias. This reliance has a significant impact on investigations, legal outcomes, and public trust. Although linguistic research has identified individual markers of deceptive speech, limited attention has been given to how multiple linguistic cues interact in real-world, high-stakes contexts. The purpose of this qualitative study was to examine how pronoun shifts, avoidance language, and equivocation cluster together during high-stakes deceptive speech. Truth-default theory (TDT) served as the theoretical foundation, and critical discourse analysis …

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Ucf Pegasus Plan - Kindergarten - Time, Continuity, And Change, Enrique M. Perez Hernandez, Taya L. Green, Mia J. Derham, Anna V. Ly, Dyana Soto Jul 2026

Ucf Pegasus Plan - Kindergarten - Time, Continuity, And Change, Enrique M. Perez Hernandez, Taya L. Green, Mia J. Derham, Anna V. Ly, Dyana Soto

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this Tiny Time Travelers unit, students will explore and compare life from the past to life in the present consistently making real world connections. They will record their understanding of each lesson through a pre-made unit long journal.

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Recommendations For Conducting Ethical Network Research, Francisca Ortiz Ruiz, Paola Tubaro, José Luis Molina, Jennifer Watling Neal, Raffaele Vacca, Jana Diesner, Jimi Adams, Michelle Birkett, Jenny Godley, Juniper Lovato, Michael Schönhuth, Laura Teves, Michael Zimmer Jul 2026

Recommendations For Conducting Ethical Network Research, Francisca Ortiz Ruiz, Paola Tubaro, José Luis Molina, Jennifer Watling Neal, Raffaele Vacca, Jana Diesner, Jimi Adams, Michelle Birkett, Jenny Godley, Juniper Lovato, Michael Schönhuth, Laura Teves, Michael Zimmer

Faculty Publications

Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national working group. The article is divided in three main sections where there are certain recommendations identified for each one of them: data collections, use, and availability. Discovering how others addressed and solved problems can be a way for all of us to improve …

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Hypoglossal Nerve Stimulation For Obstructive Sleep Apnea: A Systematic Review And Meta-Analysis On Responder-Based Outcomes And Between-Study Heterogeneity, Clemens Heiser, Marcel Braun, Colin Huntley, Michael Hutz, Thomas Michael Kaffenberger, Maurits Boon Jul 2026

Hypoglossal Nerve Stimulation For Obstructive Sleep Apnea: A Systematic Review And Meta-Analysis On Responder-Based Outcomes And Between-Study Heterogeneity, Clemens Heiser, Marcel Braun, Colin Huntley, Michael Hutz, Thomas Michael Kaffenberger, Maurits Boon

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

Background: Hypoglossal nerve stimulation (HNS) is an established surgical therapy for adults with moderate-to-severe obstructive sleep apnea (OSA) who are intolerant to positive airway pressure. Although aggregate response rates of ~70–80% have been reported, substantial variability across clinical settings remains poorly understood. Prior meta-analyses have largely emphasized pooled continuous outcomes, limiting interpretation of responder-based endpoints and drivers of between-study heterogeneity. Methods: A PRISMA-compliant systematic review and meta-analysis was performed. MEDLINE, Embase, and Cochrane CENTRAL were searched from inception through 31 December 2025. Eligible studies enrolled adults with OSA treated with implantable HNS, reported Sher-defined response (≥50% AHI reduction and residual …

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