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Articles 21091 - 21120 of 715031
Full-Text Articles in Entire DC Network
Modeling And Simulation Of Traffic Signal Control Based On Mlp With Improved Gcn-Td3, Deqi Huang, Yating Tu, Zhenhua Zhang, Xin Guo
Modeling And Simulation Of Traffic Signal Control Based On Mlp With Improved Gcn-Td3, Deqi Huang, Yating Tu, Zhenhua Zhang, Xin Guo
Journal of System Simulation
Abstract: To address the issues of uneven traffic flow at urban intersections, limited road capacity, and the poor coordination of existing traffic signal control algorithms, a traffic signal control algorithm based on graph convolutional reinforcement learning was proposed. By utilizing a multilayer perceptron, the dynamic features of vehicles and phase information at the controlled intersection and its neighboring intersections were extracted. A graph convolutional neural network was then employed to aggregate these vehicle dynamic features into potential features representing regional traffic. The control strategy was derived through multiple iterations of an improved twin delayed deep deterministic policy gradient (TD3) algorithm. …
Dynamic Order Scheduling For Pick-And-Pass System Considering Workload Balance And Learning Effects, Weihong Liu, Sixiang Zhao, Dali Zhang, Zhenhui Jiang
Dynamic Order Scheduling For Pick-And-Pass System Considering Workload Balance And Learning Effects, Weihong Liu, Sixiang Zhao, Dali Zhang, Zhenhui Jiang
Journal of System Simulation
Abstract: In e-commerce logistics, the hybrid pick-and-pass systems offer both complexity and flexibility, enabling adaptation to a wider range of order picking scenarios. Therefore, they have been widely used. However, this also complicates the order scheduling problem, particularly when both workload balance and pickers' learning effects need to be considered. Efficiently scheduling orders to reduce picking time under these conditions poses a significant challenge. This study began by constructing a mathematical model for the static scheduling problem with known orders. Based on this model, a simulation model of hybrid pick-and-pass zones was developed, and a scheduling rule incorporating multiple system …
Simulation And Optimization Of Continuous Motion Control Based On Spiking Reinforcement Learning, Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Zhe Ma
Simulation And Optimization Of Continuous Motion Control Based On Spiking Reinforcement Learning, Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Zhe Ma
Journal of System Simulation
Abstract: To improve the model robustness for multi-degree-of-freedom continuous motion control, an intelligent motion control algorithm was proposed based on the Actor-Critic reinforcement learning framework and spiking neural networks. This algorithm integrateed the Actor network with spiking population coding and enhanced model training performance by introducing feature transformation methods. The Critic network was used to evaluate the effectiveness of the motion control. The results show that, compared to other reinforcement learning algorithms, the average reward value of this method increases by more than 10%. The simulation results validate the effectiveness of the model in improving multi-degree-of-freedom continuous control performance.
Decarbonization Is Happening In U.S. Higher Education, But Carbon Neutrality Goals Alone Are Not Delivering It, Alexander R. Barron, Nubraz F. Khan, Greta Anesko, Emma S. Larsen, Junwen Ding, Shey P. Sanges, Aaron L. Strong
Decarbonization Is Happening In U.S. Higher Education, But Carbon Neutrality Goals Alone Are Not Delivering It, Alexander R. Barron, Nubraz F. Khan, Greta Anesko, Emma S. Larsen, Junwen Ding, Shey P. Sanges, Aaron L. Strong
Environmental Science and Policy: Faculty Publications
Carbon neutrality emerged as an overall framework for climate action several decades ago, with the assumption that institutions would follow a carbon management hierarchy - reducing their own emissions (i.e. decarbonization) and relying on high-quality offsets to address any residual emissions. In practice, offsets and other accounting-based emissions reductions have often dominated both discussion and action. However, sector-wide studies examining the balance between decarbonization and offsetting have been limited. Here, we examine 23 U.S. Higher Education Institutions (HEIs) that have declared carbon neutrality and contrast their direct (Scope 1) greenhouse gas emissions reduction efforts with a broader universe of U.S. …
Distributed Dispatch Method For Distribution Network And Microgrid Considering Diverse Regulating Resources, Yanbo Chen, Jiahao Yin, Tuben Qiang, Haoxin Tian, Yuxin Liang, Zhi Zhang
Distributed Dispatch Method For Distribution Network And Microgrid Considering Diverse Regulating Resources, Yanbo Chen, Jiahao Yin, Tuben Qiang, Haoxin Tian, Yuxin Liang, Zhi Zhang
Journal of System Simulation
Abstract: Traditional centralized optimization-based dispatch methods for distribution networks struggle to balance the interests of multiple stakeholders while ensuring economic efficiency and operational reliability of the system. To address this issue, a distributed dispatch method for distribution network and microgrid considering diverse regulating resources was proposed. The operational models of the distribution network and microgrid were established by comprehensively incorporating active management elements and demand response mechanisms. A fuzzy chance-constrained method was employed to model the uncertainty in renewable energy output, thereby constructing a coordinated optimization dispatch model for distribution network and microgrid under renewable generation uncertainty. An improved goal …
Deep Learning Modeling Of Multi-Scale Characteristics Of Large-Scale Wind Turbine Gearbox, Yang Hu, Zihao Li, Deyi Fu, Ziqiu Song, Fang Fang, Jizhen Liu
Deep Learning Modeling Of Multi-Scale Characteristics Of Large-Scale Wind Turbine Gearbox, Yang Hu, Zihao Li, Deyi Fu, Ziqiu Song, Fang Fang, Jizhen Liu
Journal of System Simulation
Abstract: To address challenges in characterizing high-frequency vibrations of wind turbine gearboxes, the long computation time of rigid-flexible coupled multi-body dynamics models, and the complexity of configuring gearbox models across multiple scenarios, this study proposed a deep learning modeling method for multi-scale operation using full-condition digital testing. The study proposed a cascaded extended simulation scheme based on stream data-driven OpenFAST and Adams and utilized dynamic mode decomposition technology to construct a multi-scale dataset for the flexible multi-body dynamics characteristics of the gearbox under all operating conditions of the wind turbine. Based on this dataset, a digital surrogate model covering multiple …
Path Planning For Mobile Robots Based On Improved Rrt-Connect And Dwa Fusion, Yi Luo, Jia Deng
Path Planning For Mobile Robots Based On Improved Rrt-Connect And Dwa Fusion, Yi Luo, Jia Deng
Journal of System Simulation
Abstract: To improve the efficiency and quality of dynamic path planning for mobile robots in complex environments, this paper proposed a path planning algorithm that combined an improved RRT-connect with the DWA. Two expanding random trees were introduced for alternating expansion, and a dynamically restricted sampling area was set to reduce the randomness of the sampling process while ensuring the probability completeness of the algorithm. A target bias adaptive step size strategy was employed to enhance the target orientation of the random tree expansion process. A greedy strategy was adopted to prune redundant nodes in the path and smooth the …
A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques, Rusheng Ju, Dongdong Chen, Yunxiu Zeng, Jiyuan Liu, Sihang Qiu, Peng Zhou
A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques, Rusheng Ju, Dongdong Chen, Yunxiu Zeng, Jiyuan Liu, Sihang Qiu, Peng Zhou
Journal of System Simulation
Abstract: To address the challenges of traditional evaluation systems, such as internal module coupling, lack of reusability, and poor adaptability to multi-domain evaluation needs, a three-tier decoupled technical evaluation framework of "data + service + application" was designed. A strategy was proposed for extracting high-value information from massive audio and video data based on key events, resolving the problem of unstructured evaluation data processing. A design method combining general and dedicated evaluation model templates was proposed, improving the general applicability of the evaluation model. An expert knowledge-driven comprehensive integrated discussion and evaluation environment was constructed using qualitative and …
Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li
Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li
Journal of System Simulation
Abstract: In order to reduce cost losses caused by delivery delays, distributed heterogeneous hybrid flowshop scheduling problems under combined buffer conditions of finite buffer and zero-wait were studied. A hybrid estimation of distribution algorithm based on Q-learning was proposed to minimize total weighted earliness and tardiness. For the combined buffer, dynamic decoding was designed based on the average factory allocation strategy and the shortest path method. The initial job group was optimized by reverse learning. Q-learning was embedded in the probabilistic model for intelligent searching and updating based on the group state. Reconstruction of the job group was completed using …
Synthesis Of Vinyl Esters Of Aromatic Carboxylic Acids In The Presence Of Zn/Sioc, Zno/Sioc, And Ni/Sioc Catalytic Systems, Shavkat Tursunov, Askar Parmanov, Suvankul Nurmanov, Odiljon Ziyadullayev, Dilshod Boykobilov, Liudmila Khoroshko, Monika Wilamowska-Zawlocka, Balanand Santhosh, Olim Ruzimuradov
Synthesis Of Vinyl Esters Of Aromatic Carboxylic Acids In The Presence Of Zn/Sioc, Zno/Sioc, And Ni/Sioc Catalytic Systems, Shavkat Tursunov, Askar Parmanov, Suvankul Nurmanov, Odiljon Ziyadullayev, Dilshod Boykobilov, Liudmila Khoroshko, Monika Wilamowska-Zawlocka, Balanand Santhosh, Olim Ruzimuradov
Turkish Journal of Chemistry
In this work, various aromatic monocarboxylic and dicarboxylic acids were subjected for the first time to a vinylation reaction with acetylene under heterogeneous catalytic conditions using catalytic systems based on silicon oxycarbide supported on silicon carbide (SiC): zinc silicon oxycarbide (Zn/SiOC), zinc oxide silicon oxycarbide (ZnO/SiOC), and nickel silicon oxycarbide (Ni/SiOC). The influence of the nature of the starting materials, temperature, reaction duration, solvent, and catalyst type on the yield of vinyl esters was investigated. The vinylation reaction of aromatic carboxylic acids with acetylene was carried out at 1:2 molar ratio, using a Zn/SiOC-50 catalytic system at a loading of …
The Theoretical Investigation Of The Stability And The Racemization Of Pristine, Functionalized, And Doped Expanded Helicenes, Bedi̇rhan Öztürk, Berkay Sütay
The Theoretical Investigation Of The Stability And The Racemization Of Pristine, Functionalized, And Doped Expanded Helicenes, Bedi̇rhan Öztürk, Berkay Sütay
Turkish Journal of Chemistry
The Hückel aromatic and Möbius aromatic compounds, consisting of topologically different arrangements of adjacent benzene rings in the polycyclic aromatic hydrocarbon (PAH) family, have long attracted interest in both synthesis and theoretical chemistry. Among these, [n]-azene and [n]-circulene derivatives are more thoroughly explored due to their simple architectures and more accessible synthesis pathways. However, there are active ongoing studies on the synthesis of both [n]-helicene and expanded [n]-helicene structures, as well as Möbius circulenes, which are Möbius isomers of [n]-circulenes. In this regard, there is limited information available on both the experimental and theoretical characterization of the synthesized molecules. In …
How Fair Workweek Laws Affect Labor Markets: A New York City Case Study, Joseph Pickens, Aaron Sojourner
How Fair Workweek Laws Affect Labor Markets: A New York City Case Study, Joseph Pickens, Aaron Sojourner
Upjohn Institute Policy and Research Briefs
No abstract provided.
Examining Children’S Intuitive Understanding Of Mechanical Systems With A Gears Assembly Task, Nicole Taboada
Examining Children’S Intuitive Understanding Of Mechanical Systems With A Gears Assembly Task, Nicole Taboada
Theses
Children’s causal reasoning about machines and their components is crucial for acquiring knowledge about science and math. Mechanistic understanding involves knowing how parts can be effectively connected to work together as a functional mechanical system. Little is known about how children’s understanding of mechanical systems develops across the lifespan. Legare and Lombrozo (2014) developed a gears assembly task to assess children’s understanding and learning of mechanics but did not track this skill across ages. The present study adapted the gears assembly task to measure mechanistic understanding in children between the ages of 4 to 11 years and adults. The goal …
Impact Of Information Security Awareness Training On Knowledge, Attitude, And Behavior: A K-12 Case Study, Michael S. Robbins, Christopher Robbins
Impact Of Information Security Awareness Training On Knowledge, Attitude, And Behavior: A K-12 Case Study, Michael S. Robbins, Christopher Robbins
Journal of Cybersecurity Education, Research and Practice
Abstract— Information security breaches remain a serious threat across all sectors, often exploiting human factors rather than technical flaws. This study examines how a structured Information Security Awareness (ISA) training program influences employees’ knowledge of security policies, attitudes towards those policies, and self-reported security behaviors within a K-12 educational environment. A quantitative pre-test/post-test design was employed with 201 staff members (administrators, teachers, and support personnel) in a public school district. Participants completed the Human Aspects of Information Security Questionnaire (HAIS-Q) before and after undergoing an interactive cybersecurity training program. Statistical analysis revealed a significant improvement in information security knowledge, attitudes, …
Socio-Scientific Issue-Based Challenge To Students' Chemical Literacy, Suratman S. Naim, La Kolo
Socio-Scientific Issue-Based Challenge To Students' Chemical Literacy, Suratman S. Naim, La Kolo
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
Chemistry has an important role in global challenges. Chemistry learning has not integrated an interdisciplinary approach to improving students' chemical literacy, enabling them to provide solutions to socio-scientific and environmental problems through the application of chemical concepts. This study aimed to determine the effect of the socio-scientific issues-based challenge strategy on students' chemical literacy. This study used a quantitative methods design with an embedded model. The sample consisted of tenth-grade students of SMA Negeri 1 East Halmahera in the 2025/2026 academic year from two sample classes. The experimental class was taught with the socio-scientific issues-based challenges strategy, while the control …
The Tax Adviser, Volume 4, Number 11, November 1973, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 4, Number 11, November 1973, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
The Big Bang Theory’S Blurred (Tele)Vision Of Scientific Ethics: Some Thoughts For Educators Who Want To Change The Channel, Lee-Anne Broadhead, Sean J. Howard
The Big Bang Theory’S Blurred (Tele)Vision Of Scientific Ethics: Some Thoughts For Educators Who Want To Change The Channel, Lee-Anne Broadhead, Sean J. Howard
Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy
This article investigates the way the popular American television program The Big Bang Theory represents the pursuit of scientific knowledge and reflects on the cultural and educational implications of the show’s contradictory problematization and valorization of the reductionist method at the core of modern Eurocentric science. Drawing on story-lines relating to military research, animal experimentation, and pharmaceutical drug trials, we consider the show’s precarious balance of implicit critique (the consistent exposé of systematically violent, often unethical research) and overt celebration (the presentation of science as “cool,” and its practitioners as flawed but endearing). This tension, we argue, enhances the show’s …
Maintaining An Effective Irs Examination Program— A Positive Approach, John F. Hanlon
Maintaining An Effective Irs Examination Program— A Positive Approach, John F. Hanlon
Tax Adviser
No abstract provided.
Home Coming Vistor Guide, Prairie View A&M University
Home Coming Vistor Guide, Prairie View A&M University
Homecoming
No abstract provided.
Understanding The Role Of Sentiment And Emotion For Predicting Forced Displacement, Helge Marahrens, Ameeta Agrawal, Ali Arab, Katharine Donato, Yaguang Liu, Nathan Wycoff, Mohamed Ahmed, Colin Hwang, Lina Laghzaoui, Kate Liggio, Multiple Additional Authors
Understanding The Role Of Sentiment And Emotion For Predicting Forced Displacement, Helge Marahrens, Ameeta Agrawal, Ali Arab, Katharine Donato, Yaguang Liu, Nathan Wycoff, Mohamed Ahmed, Colin Hwang, Lina Laghzaoui, Kate Liggio, Multiple Additional Authors
Computer Science Faculty Publications and Presentations
Digital trace data play an important role determining where and when people will move during migration crises because of their detailed temporal and spatial granularity. Yet, identifying variables that reliably serve as early indicators of movement remains a challenging task. Within this context, we conduct an in-depth analysis of two types of variables that can be constructed from social media data – sentiment and emotion. Sentiment is conceptually broad and easier to detect from social media posts, while emotion is conceptually nuanced and more difficult to determine. We investigate the potential of both sentiment and emotion of Twitter/X posts as …
The Tax Adviser, Volume 4, Number 6, June 1973, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 4, Number 6, June 1973, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
How The Irs Evaluates And Promotes Revenue Agents, Raymond F. Harless
How The Irs Evaluates And Promotes Revenue Agents, Raymond F. Harless
Tax Adviser
No abstract provided.
Index: Subject Index—12 Months Ended February 1973; Author Index—12 Months Ended February 1973, American Institute Of Certified Public Accountants
Index: Subject Index—12 Months Ended February 1973; Author Index—12 Months Ended February 1973, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Tax Clinic, William J. Schwanbeck
Tax Trends, Harry Z. Garian
Every Day Is Selection Day, Richard S. Helstein, Alan R. Bialeck
Every Day Is Selection Day, Richard S. Helstein, Alan R. Bialeck
Tax Adviser
No abstract provided.
Utilizing Interactive Ebook For Language Learning: Designing A Computer-Assisted Approach For Basic English Listening, Ita Sarmita Samad, Umiyati Jabri, Ismail Ismail, Mustakim Mustakim, Rahmad Risan, Imam Akbar
Utilizing Interactive Ebook For Language Learning: Designing A Computer-Assisted Approach For Basic English Listening, Ita Sarmita Samad, Umiyati Jabri, Ismail Ismail, Mustakim Mustakim, Rahmad Risan, Imam Akbar
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
The low listening skill ability of the students at Muhammadiyah University of Enrekang is a challenge because it is often making them failing to obtain an English competency certificate as a requirement for a proposal seminar. This research aims to develop an interactive eBook to help the students improve their listening skills by focusing on 2 things, doing needs analysis and designing eBook listening prototype. This research uses the research and development (R&D) design. There are 9 English lecturers and 40 students as participants which taken purpossively. The instrument used is a survey and analyzed qualitatively. The results show that …
Quantifying Single, Compound And Cascading Climate Extremes: Implications For Agricultural Resilience In California, Shahryar Fazli, Wenzhao Li, Rejoice Thomas, Surendra Maharjan, Mohammad Sina Jahangiri, Andre Daccache, Hesham Morgan, Mohamed Allali, Hesham El-Askary
Quantifying Single, Compound And Cascading Climate Extremes: Implications For Agricultural Resilience In California, Shahryar Fazli, Wenzhao Li, Rejoice Thomas, Surendra Maharjan, Mohammad Sina Jahangiri, Andre Daccache, Hesham Morgan, Mohamed Allali, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
As climate change intensifies, extreme weather increasingly threatens California’s Central Valley (CV), a vital agricultural region exposed to rising risks from heatwaves (HW), droughts (DR), and compound extremes. These events disrupt crop productivity and broader processes like water demand, pest dynamics, and soil stability, posing systemic risks. This study examines the spatiotemporal dynamics of HW, coldwaves (CW), DR, excessive rainfall (ER), and their compound (e.g., HWDR) and cascading forms from 1951 to 2025, using NOAA nClimGrid-Daily data. We assessed trends in frequency, intensity, and duration over long-term (1951–2025) and mid-term (1981–2025) periods. Results show increasing HW and DR in the …
Enhanced Particle Interactions In Highly Curved Spacetime, Bradley Shapiro
Enhanced Particle Interactions In Highly Curved Spacetime, Bradley Shapiro
Dartmouth College Ph.D Dissertations
Compact objects, such as black holes and neutron stars, are known to be surrounded by dense clouds of particles, including but not limited to photons, various plasmas, and potentially dark matter and gravitons. These environments are of immense research interest, not only for the purpose of understanding the compact objects they surround, but also in the search to identify new particles, especially dark matter. However, certain particle physics calculations are well developed in flat spacetime but intractable in curved spacetime. In this thesis, I present a formalism by which some of these calculations may be made tractable within a perturbative …
Home Range Size And Habitat Usage Of Hatchling And Juvenile Wood Turtles (Glyptemys Insculpta) In Iowa, Jeffrey W. Tamplin, Joshua G. Otten, Samuel W. Berg, Nadia E. Patel, Jacob B. Tipton, Justine M.R. Radunzel
Home Range Size And Habitat Usage Of Hatchling And Juvenile Wood Turtles (Glyptemys Insculpta) In Iowa, Jeffrey W. Tamplin, Joshua G. Otten, Samuel W. Berg, Nadia E. Patel, Jacob B. Tipton, Justine M.R. Radunzel
Faculty Publications
The Wood Turtle (Glyptemys insculpta) is an endangered species in the state of Iowa and a species of conservation concern across their entire range. The Iowa population is characterized by high levels of adult and egg predation, displays little or no annual recruitment, and harbors an extremely low number of juveniles (7.3%). Home range and habitat usage studies of hatchling and juvenile Wood Turtles are limited to a few studies, and only one study of juveniles exists from the state of Iowa. Over a 10 yr period, we conducted a radiotelemetry study in Iowa on seven juvenile wood turtles for …