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Articles 156001 - 156030 of 5149864
Full-Text Articles in Entire DC Network
Gpu Performance In A Linux Enviroment, Nathanael W. Haines
Gpu Performance In A Linux Enviroment, Nathanael W. Haines
Summer Interdisciplinary Research Symposium
GPUs are used for both recreational purposes and extremely important simulations for things like earthquake prediction in addition to mathematical modeling. In all cases it is critical that the GPUs used are chosen effectively, as these tend to be very expensive components. By benchmarking a variety of GPUs running on GNU/Linux with a roster of different benchmarks, this project provides information of the capabilities of GPUs running with GNU/Linux, which is common in research settings. This is compared to the expected performance levels of each GPU as stated in selected online sources and manufacturer claims, which are typically geared towards …
The Effectiveness Of Hypoglossal Nerve Stimulation Compared To Cpap In Obstructive Sleep Apnea, Jared L. Roland
The Effectiveness Of Hypoglossal Nerve Stimulation Compared To Cpap In Obstructive Sleep Apnea, Jared L. Roland
Summer Interdisciplinary Research Symposium
Objective:
This study evaluates whether hypoglossal nerve stimulation (HNS) yields superior improvements in reducing apnea episodes, alleviating daytime sleepiness, and enhancing quality of life compared with continuous positive airway pressure (CPAP) among adult patients with obstructive sleep apnea (OSA) who are intolerant of CPAP therapy.
Methods:
A systematic literature search was conducted in PubMed, MEDLINE and Google Scholar using combinations of “hypoglossal nerve stimulation,” “obstructive sleep apnea,” and “CPAP.” PubMed yielded 337 records; MEDLINE, 105; Google Scholar, 1,080. After duplicate removal, titles and abstracts were screened against inclusion criteria: adults (≥18 years) with body mass index (BMI) < 32 kg/m², documented CPAP intolerance or failure, apnea–hypopnea index (AHI) 15–65 events/hour, English-language full texts published since 2019. Exclusion criteria were prior upper‐airway surgery, BMI > 35 kg/m², AHI …
Retinal Imaging As An Innovative Modality For Ckd Screening, Evan Minger
Retinal Imaging As An Innovative Modality For Ckd Screening, Evan Minger
Summer Interdisciplinary Research Symposium
Abstract
Objective: This study evaluates the potential use of retinal imaging as a screening tool for chronic kidney disease (CKD). Since CKD is often caused by systemic conditions such as diabetes and hypertension, the microvascular damage found in the kidneys may also appear in the retina. This research explores whether retinal microvascular changes correlate with CKD indicators, potentially offering a non-invasive alternative or adjunct to traditional laboratory screening.
Methods: A structured literature search was conducted using PubMed, MEDLINE with full text, and Google Scholar. Search terms included combinations of "Retinal Imaging," "Retinopathy," "CKD," and "Risk." PubMed yielded 39 results for …
Mortality Outcomes In Traumatic Brain Injury: Mannitol Vs. Hypertonic Saline, Abigail G. Gemeinhart
Mortality Outcomes In Traumatic Brain Injury: Mannitol Vs. Hypertonic Saline, Abigail G. Gemeinhart
Summer Interdisciplinary Research Symposium
Abstract
Objective: To evaluate whether mannitol or hypertonic saline (HS) is associated with a lower mortality rate in the management of increased intracranial pressure (ICP) in patients with traumatic brain injuries (TBI).
Methods: A systematic literature search was conducted using Google Scholar and the Valparaiso University Library database to identify studies comparing mannitol and hypertonic saline in the treatment of elevated ICP due to TBI. Search terms included variations of “mannitol,” “hypertonic saline,” “intracranial pressure,” “traumatic brain injury,” and “mortality.” A total of 3,280 results were retrieved from an initial Google Scholar search, 2,350 from a more specific …
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mansoura Engineering Journal
Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …
Reviving Heritage, Soreya Ganda
Reviving Heritage, Soreya Ganda
Bachelor of Architecture Theses - 5th Year
Niger’s cultural identity is shaped by a rich mosaic of ethnic groups, including the Hausa, Zarma-Songhai, Tuareg, and Fulani, each with distinct traditions, building practices, and relationships to the land. For centuries, these communities lived according to their own social and spatial systems, rooted in environment-specific knowledge and craftsmanship. This balance was disrupted during the French colonial period, which began in the late 19th century and lasted until Niger’s independence in 1960. Colonial administration redrew territorial boundaries, centralized authority, and introduced foreign materials, aesthetics, and construction standards, redefining how people built and interacted with their environments. While Niger now appears …
Resilience Enhancement Strategy For Distribution Network Considering Coordination Of Intelligent Soft Open Points And Multiple Emergency Resources, Zifa Liu, Wenbo Xue
Resilience Enhancement Strategy For Distribution Network Considering Coordination Of Intelligent Soft Open Points And Multiple Emergency Resources, Zifa Liu, Wenbo Xue
Journal of Electric Power Science and Technology
In view of the significant impact of extreme events on power system security, enhancing grid resilience has become a research hotspot. Therefore, a pre-event prevention and post-event coordinated recovery strategy considering intelligent soft open points (SOPs) and multiple emergency resources is proposed to improve the resilience of the distribution system. In the pre-event stage, to effectively reduce post-event resource scheduling time, a robust optimization model considering the uncertainty of power output is constructed based on predicted fault scenarios. A column-and-constraint generation algorithm is used to obtain pre-event deployment decisions. In the post-event stage, to minimize the curtailed load power through …
Optimal Switch Allocation In Distribution Networks Considering Interruption Frequency And Source‑Load Uncertainty, Yang Liu, Chun Wang, Min Zhang, Fei Wang
Optimal Switch Allocation In Distribution Networks Considering Interruption Frequency And Source‑Load Uncertainty, Yang Liu, Chun Wang, Min Zhang, Fei Wang
Journal of Electric Power Science and Technology
To reduce the system’s interruption frequency, a coordinated optimization method for load switches and circuit breakers in a distribution network is proposed, with the system’s average interruption frequency introduced as a constraint. By considering the uncertainty of distributed generation and load, a sample matrix is generated using Latin hypercube sampling, and the uncertainty problem is transformed into a deterministic problem by applying a multi-scenario analysis method. To improve the efficiency of island partitioning, a heuristic method is proposed to determine the scope of islands. Case analysis is carried out on an improved IEEE RBTS-BUS6 F4 distribution system. The results show …
Short‑Term Power Load Forecast Method Based On Fully‑Connected Spatio‑Temporal Graph, Zhiyuan Xu, Zhuoyao Miao, Zhuo Long, Gongping Wu, Feng Deng, Le Deng
Short‑Term Power Load Forecast Method Based On Fully‑Connected Spatio‑Temporal Graph, Zhiyuan Xu, Zhuoyao Miao, Zhuo Long, Gongping Wu, Feng Deng, Le Deng
Journal of Electric Power Science and Technology
Short-term load forecast is an important task in power systems. However, existing studies have overlooked the spatio-temporal adjacency between multi-sequence loads. In some cases, considering this spatio-temporal adjacency can improve the prediction accuracy. To address this problem, a fully‑connected graph-based graph convolutional neural network (FCGCN) is proposed. The network first encodes the multi-sequence load data into the node feature matrix of the graph, which is combined with the method of position encoding to increase the order information of the load data. The adjacency matrix of the graph is built by using the dynamic time warping (DTW) algorithm, thus forming a …
Optimal Siting Of Offshore Booster Station For Wind Power Collection System Based On Dmst‑Pso Algorithm, Yan Li, Xiaokun Liu, Wenqian Zhao, Haoyuan Song, Guancheng Zhen, Yuwei Liang
Optimal Siting Of Offshore Booster Station For Wind Power Collection System Based On Dmst‑Pso Algorithm, Yan Li, Xiaokun Liu, Wenqian Zhao, Haoyuan Song, Guancheng Zhen, Yuwei Liang
Journal of Electric Power Science and Technology
The siting of offshore booster stations for power collection systems has an important impact on the construction and operation costs of offshore wind farms. The siting problem of offshore booster stations is essentially an optimization problem based on the topology of the submarine cable. The key to siting optimization of the offshore booster station lies in determining the optimal submarine cable routing. A DMST‑PSO algorithm, combining the dynamic minimum spanning tree (DMST) algorithm with dynamic edge weights and the particle swarm optimization (PSO) algorithm, is proposed for the siting of offshore booster stations for wind power collection systems, aiming at …
Adaptive Two‑Stage Robust Optimization Scheduling Method For Wind And Solar Power Storage Based On I‑C&Cg Algorithm, Yalong Chen, Guannan Lou, Liantao Ji, Pu Wang, Xiuyan Jing, Jingwen Huang
Adaptive Two‑Stage Robust Optimization Scheduling Method For Wind And Solar Power Storage Based On I‑C&Cg Algorithm, Yalong Chen, Guannan Lou, Liantao Ji, Pu Wang, Xiuyan Jing, Jingwen Huang
Journal of Electric Power Science and Technology
As the integration of renewable energy such as wind and solar power greatly increases, the challenges such as wind and solar power curtailment, voltage out-of-limit, and reverse power flow are becoming increasingly prominent in power systems. Pumped storage stands out as the most mature and cost-effective large-scale energy storage solution, which can be combined with renewable energy to help mitigate the fluctuation of renewable energy, improve the system operation flexibility, and enhance the reliability of power supply. The conventional wind-solar power storage and control methods have low efficiency in solving complex scenarios such as uncertain wind and solar power output, …
Bi‑Level Scheduling Optimization Strategy For Active Shared Energy Storage Communities, Xin Jin, Tingzhe Pan, Zongyi Wang, Wangzhang Cao, Heyang Yu
Bi‑Level Scheduling Optimization Strategy For Active Shared Energy Storage Communities, Xin Jin, Tingzhe Pan, Zongyi Wang, Wangzhang Cao, Heyang Yu
Journal of Electric Power Science and Technology
To address the proactivity of shared energy storage undermined by individual user-driven energy storage behavior and the diminished effectiveness and economic efficiency of day-ahead scheduling plans formulated by shared energy storage plants caused by load prediction errors, a bi-level scheduling optimization strategy is proposed for active shared energy storage communities. First, a community structure with prosumers utilizing active shared energy storage is designed. Second, a master-slave game decision-making model is constructed, where the shared energy storage power plant acts as the leader and the prosumer cluster as the follower. A genetic algorithm is used to solve the optimal day-ahead scheduling …
Islanded Microgrid Control Strategy Based On Improved Consensus Algorithm, Zewen Li, Ziling Mao, Yuanchuan Wang, Juncheng Fu, Yixiang Xia
Islanded Microgrid Control Strategy Based On Improved Consensus Algorithm, Zewen Li, Ziling Mao, Yuanchuan Wang, Juncheng Fu, Yixiang Xia
Journal of Electric Power Science and Technology
The convergence speed for islanded microgrid systems using classical consensus control is slow, but the current improved consensus algorithm makes it difficult to meet the requirements of “plug and play” for distributed generation. Therefore, an improved consensus algorithm is proposed. By introducing the overall error elimination term, the information exchange between each distributed generation and the overall error elimination term acquisition are achieved without changing the original topology, and the stability of the improved consensus algorithm is verified through simulation. Subsequently, a control strategy based on the improved consensus algorithm is proposed, achieving frequency stability and precise power distribution for …
Active Damping Control Based On Virtual Resistance For Stand‑Alone Dc Microgrid, Xin Tang, Shuai Wang, Zhen Li, Xin Huang
Active Damping Control Based On Virtual Resistance For Stand‑Alone Dc Microgrid, Xin Tang, Shuai Wang, Zhen Li, Xin Huang
Journal of Electric Power Science and Technology
Due to the presence of a large number of constant power loads (CPLs) in a stand‑alone DC microgrid, the damping of the DC microgrid is reduced, leading to oscillations and even significant drops in the DC bus voltage. To address this issue, an active damping method is proposed to improve system stability. The damping of the converter is increased to suppress the resonant peak by connecting a virtual resistance in parallel at the port of the energy storage converter without adding extra sensors. The method for designing the active damping parameters is provided, and the effect of the proposed parallel …
Power System And Comprehensive Energy Knowledge Graph Based On Neo4j Graph Database, Xiaolong Ren, Xi Chen, Hengbin Si, Shuang Tian
Power System And Comprehensive Energy Knowledge Graph Based On Neo4j Graph Database, Xiaolong Ren, Xi Chen, Hengbin Si, Shuang Tian
Journal of Electric Power Science and Technology
At present, the scale of the power grid is expanding, and the amount of knowledge in power systems is increasing explosively. In order to organize, manage, and utilize mass knowledge effectively, knowledge graph technology is introduced into the field of power systems and comprehensive energy systems. Common relational databases of Oracle and structured query language (SQL) need to use tables to store data and query and analyze data through complex relationships, which is more complicated when dealing with complex relationships. The Neo4j graph database represents data as nodes and edges, which makes the correlation between entities and relationships intuitively expressed …
Impedance Reshaping Strategy For Grid‑Connected Inverter Based On Grid Impedance Identification Via Dual Harmonic Injection, Zhijun Li, Yaxin Wang
Impedance Reshaping Strategy For Grid‑Connected Inverter Based On Grid Impedance Identification Via Dual Harmonic Injection, Zhijun Li, Yaxin Wang
Journal of Electric Power Science and Technology
Under weak grid conditions, the interaction between the control function of the grid-connected inverter and the grid impedance will reduce the phase margin of the inverter, aggravate the harmonic oscillations, and even lead to instability of the grid-connected systems. Traditional impedance reshaping strategies for grid-connected inverters can improve the stable operation of the grid-connected system. However, with the growing integration of large shares of new energy sources and new types of loads, the grid impedance presents random variations, which undermines the effectiveness of traditional impedance reshaping strategies designed for fixed scenarios. To solve this problem, an impedance reshaping strategy based …
Two‑Level Pricing Strategy For Electric Vehicle Charging Stations Based On Multi‑Agent Stackelberg Game, Lei Yu, Rui Wang, Shan Cheng, Lyuzerui Yuan, Xinhao Lin, Tao Ran
Two‑Level Pricing Strategy For Electric Vehicle Charging Stations Based On Multi‑Agent Stackelberg Game, Lei Yu, Rui Wang, Shan Cheng, Lyuzerui Yuan, Xinhao Lin, Tao Ran
Journal of Electric Power Science and Technology
To address the existing challenges in the orderly scheduling of electric vehicle (EV) charging and discharging, including the insufficient characterization of dispatchable capacity, inadequate consideration of multi-agent interests, and improper pricing mechanisms for charging stations, a two-level pricing strategy for EV charging stations based on a multi-agent Stackelberg game model is proposed. Firstly, in consideration of factors influencing charging behavior, the responsiveness of EV users is assessed, and a model for predicting the dispatchable capacity of charging stations is developed. Secondly, the game relationships among various agents are discussed. According to the EV user response willingness and the theory of …
Prediction Of Underground Cable Health Index Based On Iga‑Bp Neural Network, Jinbo Huang, Guoping Zou, Jiange Jiao, Xiangrong Chen, Tianjian Zhao
Prediction Of Underground Cable Health Index Based On Iga‑Bp Neural Network, Jinbo Huang, Guoping Zou, Jiange Jiao, Xiangrong Chen, Tianjian Zhao
Journal of Electric Power Science and Technology
With cable equipment being widely deployed, cable faults have threatened the safe operation of the power grid. Traditional operation and maintenance work has difficulty in accurately predicting the current health status of cable insulation. To address this issue, a cable health index prediction method based on an improved genetic algorithm-back propagation (IGA-BP) neural network model is proposed. Since the rate of parameter change in underground cables varies at different aging stages, the method incorporates recent aging trend characteristics into both the fitness function and mutation operator during parameter optimization. By distinguishing individuals based on these aging characteristics, the model enhances …
Research On Corrosion Diagnosis For Grounding Grid Based On Improved Seagull Optimization Algorithm, Liangde Xu, Ting Guo, Xun Lu, Xinmiao Liu, Zhonghao Chen, Linlin Hu, Shiying Li, Peizhun Li, Fubo Zou
Research On Corrosion Diagnosis For Grounding Grid Based On Improved Seagull Optimization Algorithm, Liangde Xu, Ting Guo, Xun Lu, Xinmiao Liu, Zhonghao Chen, Linlin Hu, Shiying Li, Peizhun Li, Fubo Zou
Journal of Electric Power Science and Technology
When an existing open station is converted into a terminal station arranged within the user’s premises, due to the generally compact area of the station, the reliability requirements for the grounding grid are higher, and the diagnosis and evaluation of the corrosion status of the grounding grid are becoming increasingly important. At present, the main method for diagnosing corrosion in grounding grids without excavation relies on electrical network theory analysis. However, this method is prone to having more branches than the number of observable nodes in diagnosis, leading to a high degree of uncertainty. Therefore, an improved seagull optimization algorithm …
Boiling Springs Circuit Quarterly Conference Records 1887-1890, Boiling Springs Circuit Quarterly Conference, Orangeburg District
Boiling Springs Circuit Quarterly Conference Records 1887-1890, Boiling Springs Circuit Quarterly Conference, Orangeburg District
Methodist Local Church Records
No abstract provided.
Black Swamp Circuit Quarterly Conference Records 1872-1890, Black Swamp Circuit Quarterly Conference
Black Swamp Circuit Quarterly Conference Records 1872-1890, Black Swamp Circuit Quarterly Conference
Methodist Local Church Records
No abstract provided.
Campobello Circuit Sunday School Records 1891-1894, Campobello Circuit Quarterly Conference
Campobello Circuit Sunday School Records 1891-1894, Campobello Circuit Quarterly Conference
Methodist Local Church Records
No abstract provided.
Boiling Springs Circuit Quarterly Conference Records 1895-1898, Boiling Springs Circuit Quarterly Conference, Orangeburg District
Boiling Springs Circuit Quarterly Conference Records 1895-1898, Boiling Springs Circuit Quarterly Conference, Orangeburg District
Methodist Local Church Records
No abstract provided.
Campobello Circuit Quarterly Conference Records 1891-1894, Campobello Circuit Quarterly Conference
Campobello Circuit Quarterly Conference Records 1891-1894, Campobello Circuit Quarterly Conference
Methodist Local Church Records
No abstract provided.
Campobello Circuit Quarterly Conference Records 1895-1896, Campobello Circuit Quarterly Conference
Campobello Circuit Quarterly Conference Records 1895-1896, Campobello Circuit Quarterly Conference
Methodist Local Church Records
No abstract provided.
Bucksville Station Quarterly Conference Records 1883-1886, Bucksville Station Quarterly Conference
Bucksville Station Quarterly Conference Records 1883-1886, Bucksville Station Quarterly Conference
Methodist Local Church Records
No abstract provided.
Bucksville Station Quarterly Conference Records 1887-1890, Bucksville Station Quarterly Conference
Bucksville Station Quarterly Conference Records 1887-1890, Bucksville Station Quarterly Conference
Methodist Local Church Records
No abstract provided.
Bucksville Station Quarterly Conference Records 1895-1898, Bucksville Station Quarterly Conference
Bucksville Station Quarterly Conference Records 1895-1898, Bucksville Station Quarterly Conference
Methodist Local Church Records
No abstract provided.
Bucksville Station Quarterly Conference Records 1891-1894, Bucksville Station Quarterly Conference
Bucksville Station Quarterly Conference Records 1891-1894, Bucksville Station Quarterly Conference
Methodist Local Church Records
No abstract provided.
Campobello Circuit Quarterly Conference Records1887-1890, Campobello Circuit Quarterly Conference
Campobello Circuit Quarterly Conference Records1887-1890, Campobello Circuit Quarterly Conference
Methodist Local Church Records
No abstract provided.