Digital Commons Network^™

Front Matter, Information Literacy Collab

Information Literacy Collab

No abstract provided.

Full Issue, Information Literacy Collab

Information Literacy Collab

No abstract provided.

Editor's Note, Robert Rabe

Journal of 20th Century Media History

Editor's Note for Vol. 4, Issue 1 (2026)

Mental Health Challenges Associated With Social Media Use And Effective Management Strategies: A Systematic Literature Review, Ebrahim Timol, Kebashnee Moodley

The African Journal of Information Systems

This study conducts a Systematic Literature Review (SLR) to investigate the mental health challenges associated with increasing social media (SM) usage. The review compares these effects across youth and adult age groups and explores how mental health issues related to SM use have evolved before, during, and after the COVID-19 pandemic. Through a comprehensive search of databases including ProQuest, Scopus, JSTOR, and Google Scholar, 43 relevant articles were analyzed using thematic analysis. The findings reveal that social media usage exacerbates mental health issues such as depression, anxiety, fear of missing out (FOMO), social and financial comparisons. The COVID-19 pandemic notably …

The Use Of Public Relations Departments In Palestinian Private Companies In The Northern Governorates On Social Media And Its Impact On Achieving Competitive Advantage, Ahmed Ammar

This study aimed to examine the use of public relations departments in private Palestinian companies in the northern governorates for social media and their impact on achieving competitive advantage. The study adopted a descriptive-analytical approach, with data collected via a questionnaire distributed to a sample of 49 employees in public relations and related administrative roles. Descriptive analysis indicated that digital content management, media communication, audience engagement, relationship building, and performance monitoring and strategic analysis are all key factors in enhancing competitive advantage, with varying levels of impact. Multiple regression analysis showed that digital content management and media communication and audience …

Technical Disclosure: The Urban Biosphere Ziggurat (Ubz), Affordable Housing And Urban Planning, Christopher L. Eckes

Defensive Publications Series

Current high-density urban housing models in the United States routinely fail because they optimize strictly for initial cost-per-square-foot, resulting in double-loaded corridor containment layouts that restrict natural light, induce community stagnation, and induce severe benefit "cliff effects" on upwardly mobile residents. The Urban Biosphere Ziggurat (UBZ) framework resolves this systemic crisis by decoupling high-tech, factory-precise structural engineering from regional, artistic architectural cladding. This disclosure outlines a scalable, non-speculative structural chassis integrated into a Community Land Trust (CLT) and Limited-Equity Housing Cooperative (LEHC) [1.5] governance ecosystem, permanently divesting real estate from predatory international speculation. [1]

To maximize municipal feasibility …

Concurrent Presentation And Evaluation Of Multi-Stream Media, Guillaume Vernon Bailey

Defensive Publications Series

Current techniques for displaying vertical videos on landscape displays suffer from inefficient use of lateral screen space and rely on linear navigation that yields limited, dwell-time-based engagement data. The disclosed technology addresses this by replacing single-video presentation with a concurrent multi-stream interface, displaying multiple vertical videos side-by-side in a user interface on a screen of a television. The disclosed technology maintains one media content item in an active playback state while keeping peripheral media content items in a subdued state, such as dimmed or paused. Users navigate horizontally to shift the active focus or vertically to populate a completely new …

A Scholarship, A Calling, And A Bright Future, July 02, 2026, Tisa Mason Ed.D.

Heart of a Tiger Columns

No abstract provided.

Power Flow Calculation Method And Application Of Low-Frequency Alternating Current Transmission System For Offshore Wind Power Based On Dru, Hao Yu, Yuwei Yao, Minjia Zheng, Honglin Chen, Zhengmin Zuo, Chenxin Yu, Haishun Sun

Journal of Electric Power Science and Technology

The low-frequency alternating current transmission system for offshore wind power based on a diode rectifier unit (DRU) is a novel technical scheme with application prospects for the grid connection of deep-sea offshore wind power. Due to the uncontrollability of the DRU, the operation state of the low-frequency alternating current system is controlled by wind turbines using a grid-forming amplitude-phase control mode. To analyze the relationship between system operation state and wind power control characteristics, a power flow calculation model of the DRU-based low-frequency alternating current transmission system for offshore wind power was established. Definite conditions and equations to be solved …

A Novel Fault Location Method For Renewable Energy Transmission Lines Based On Time-Domain Transient Voltage Fitting, Li Zhang, Shengnan Li, Shiyao Wang, Shoudong Xu, Ligen Xie, Jinrui Tang

Journal of Electric Power Science and Technology

Affected by the control strategy and parameters of renewable energy units, once a fault occurs in a renewable energy transmission line, the short-circuit current on the renewable energy side exhibits characteristics such as controlled amplitude, sudden phase change, and a high proportion of non-power-frequency components, which leads to the failure of traditional double-end and single-end fault location methods based on power-frequency components. To address this problem, higher-order fault transient differential equations of the renewable energy transmission line before and after the fault point were provided. A joint equation system for solving fault distance was constructed based on the time-domain sampled …

Secondary Frequency Regulation Control And Economic Evaluation Method For Energy Storage Stations Considering Active State-Of-Charge Recovery, Cuomu Yixi, Zhuangxi Tan, Lamu Jiayang, Yuzhou Chen, Li He, Keke Yan

Journal of Electric Power Science and Technology

A secondary frequency regulation control strategy and an economic evaluation method that accounts for active state-of-charge (SOC) recovery were proposed for energy storage stations to improve their frequency regulation performance and cost-effectiveness in secondary frequency regulation. First, the control principles of large-scale energy storage stations in secondary frequency regulation were described, and their power support requirements were analyzed. A frequency support strategy that combines area control error (ACE) and area regulation requirement (ARR) was proposed for energy storage stations. Second, the decoupling characteristics between system frequency support requirements and active SOC recovery requirements were analyzed. Based on active SOC recovery …

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 …

Pascal Gedeon V. Usa

2026 Decisions

USDC for the Eastern District of Pennsylvania

Dairy And Food Science Student Newsletter, July 2, 2026, Department Of Dairy And Food Science

Dairy and Food Science Student Newsletter

Fun Networking Opportunities this Summer
ADSA Quiz Bowl Champions
New AS degree in Dairy Technology
Internships
Scholarships
Job Opportunities

Daniel Lewis V. Superintendent Phoenix Sci

2026 Decisions

USDC for the Eastern District of Pennsylvania

Cotton/Soybean Insect Newsletter, July 02, 2026, Jeremy K. Greene

Clemson University Cotton/Soybean Insect Newsletter

No abstract provided.

Reframing The "Weekend Effect": From Hospital "Failure" To System-Level Selection, Jonathan Dawson, Aditya Loganathan, Nicholas Melucci, Michael Friedman, Maeve Mclaughlin, Marissa Potenza, Erica Valdovinos, Robert Shesser

URGENT Matters

No abstract provided.

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 …

Multi-Factor Influence Analysis On Temperature Rise Of Tulip Contacts In Handcart Circuit Breakers, Honglei Deng, Yu Chen, Feiyang Han, Ziheng Gao

Journal of Electric Power Science and Technology

Tulip contacts are widely used in power systems due to their high reliability. However, with the increase of operation years and the cyclic variation of boundary loads, their contact parts are prone to degradation, leading to overheating faults. Temperature rise, as a key parameter characterizing the evolution of thermal faults, is commonly used to monitor the contact state of switchgear. The GC 5-630 tulip contact is taken as the research object. A three-dimensional electro-thermal-mechanical multiphysics coupling model is established based on the finite element analysis method to analyze the influence laws of different factors on the temperature rise of the …

Low-Carbon Economic Dispatch For Multi-Park Integrated Energy Systems Considering Electricity-Carbon Coupling And Differentiated Demand Response, Liwei Yang, Fei Jiang, Xinhe Zhang, Zhenlan Dou, Xiaojia Zhang

Journal of Electric Power Science and Technology

In order to reduce the carbon emissions of park integrated energy systems and to explore the demand response potential of different types of loads, a low-carbon economic dispatch method for multi-park integrated energy systems considering electricity–carbon coupling and differentiated demand response is proposed. Considering the electricity–carbon coupling among different parks and the characteristics of the external carbon trading market, a multi-park carbon trading model with a stepped external carbon trading mechanism is constructed; in view of the differences in energy demands and demand response capabilities of users in different parks, a differentiated demand response model including flexible and adjustable electrical …

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 …