Digital Commons Network^™

Meteorological Influence On Site Selection For A Hypothetical Nuclear Power Plant Near Yanbu, Saudi Arabia, Abdulwahab Albesher, Daud Bin Mohamad, Mohammed M. Damoom, Othman A. Fallatah

Journal of King Abdulaziz University: Engineering Sciences

Kingdom of Saudi Arabia (KSA) is known as a heavy reliant oil country particularly for economic and energy sectors. KSA seeks to diversify their economy and energy sources and gradually phase out oil dependance to achieve net zero emission by 2060. Nuclear energy is a reliable energy source that can replace oil. KSA had declared previously on multiple occasions that they wish to enrich their nuclear fuel from their uranium reserve. There are numbered studies regarding suitability of Nuclear Power Plant (NPP) sites in KSA mainly focused on geological and geographic aspects. One of these sites was Yanbu city. The …

Radiation Exposure And Safety Practices In Dental Radiology: A Literature Review, Abdullah Awn Alsubaie, Majdi Rashed Alnowaimi, Nada Othman Bamashmous, Afnan Darwesh, Abdu Mohammed Saeed, Essam Mohammed Banoqitah

Journal of King Abdulaziz University: Engineering Sciences

Background: Although exposure to even low doses of ionizing radiation can cause cell damage and increase the risk of cancer, dental radiography remains an essential tool for making the correct diagnosis and planning treatment. Despite the advancements in dental radiography, significant global variations in the knowledge, attitudes, and practices (KAP) of dental professionals persist, including those practicing in the Middle East and Saudi Arabia. Its continued necessity highlights the importance of continuously and thoroughly evaluating the compliance to safety standards according to international guidelines. Aim: This review aims to ascertain prevailing occupational radiation exposure levels, evaluate the knowledge and awareness, …

A Comparative Study Of Ore Reserve Estimation Methods: Traditional Triangulation Vs. Geovia Surpac & Maptek Vulcan At The Al Khabra Phosphate Deposit, Saudi Arabia, Hussein A. Saleem, Mostafa A-B Ebrahim, Gamal S. Abdelhaffez, Abdul Majeed Al Aenezi

Journal of King Abdulaziz University: Engineering Sciences

Ore reserve estimation drives mining's economic viability. Reserve estimation in mining involves determining the amount of economically extractable minerals in a given deposit. This study, using 63 boreholes, conducts a comparison of triangulation, Geovia Surpac, and Maptek Vulcan for Al Khabra's phosphate reserves, Saudi Arabia. It computes grade, volume, and tonnage, revealing a 2.05% difference in Surpac and 0.68% in Vulcan. Specifically, the traditional triangulation method yielded a reserve of 278.6 million tonnes (Mt) at an average grade of 21.75% P₂O₅. In comparison, Geovia Surpac estimated 284.3 Mt, and Maptek Vulcan estimated 280.5 Mt at a …

What Safety Data Misses, And How We Learn To See It, Mike Rayo

Grand Rounds

ACCME Objectives

1. Differentiate reliability, robustness and resilience (graceful extensibility).
2. Differentiate incident-based, capability-based, and adaptation-based perspectives.
3. Understand how different perspective miss what systems can hide.
4. Understand the benefits and difficulties of an Operational Health Management program.

ANCC Learning Outcomes

1. Maintain and advance knowledge and skills related to pediatric conditions seen in our region.
2. Increase collaboration across professions of the healthcare team.

Goodness-Of-Fit Test For The Kumaraswamy Distribution Via Energy Distance Approach With Applications To Real Data, Joseph Njuki, Thomas Gilbert

Mathematics and Statistics

In this article, we develop a goodness-of-fit test for the Kumaraswamy distribution based on energy statistics. Due to the availability of its quantile (inverse) function, the Kumaraswamy distribution has been shown to be the preferred alternative to the Beta distribution, since both have bounded support in the (0,1) interval. The proposed test procedure is simple and more powerful against general alternatives. Under different settings, simulations show that the proposed test is capable of being well controlled for any given significance (nominal) levels. In terms of power comparisons, the proposed test outperforms other existing methods in different settings. We then apply …

Defining Civil Rico's "Inquiry To Business Or Property" Requirement: The Supreme Court Takes A Few Steps, Says It Punts, But Actually Fumbles, Randy D. Gordon

Penn State Law Review (2003 - Present)

No abstract provided.

The Objective Reasonableness Of Employee Reporting: An Analysis Of The Circuit Split Regarding The Whistleblower Provision Of The Sarbanes-Oxley Act, Madison E. Steinmann

Penn State Law Review (2003 - Present)

No abstract provided.

``Evaluation Of Molybdenum Content In 99Mo/99mTc Generators Eluate'', Sunnia Shafiq, Hafiz Khush Naseeb Ahmad, Hina Manzoor, Sadiqullah Sadiqullah, Hashir Saeed, Muhammad Sadiq, Shehla Iftikhar

Journal of King Abdulaziz University: Engineering Sciences

Objective This study aimed to assess the reliability and purity of technetium-99m (^99mTc) generators produced by the Pakistan Institute of Nuclear Science and Technology (PINSTECH), known as PAKGEN, by evaluating the molybdenum (⁹⁹Mo) breakthrough levels over five years. Maintaining low ⁹⁹Mo levels is crucial for patient safety and high-quality diagnostic imaging in nuclear medicine. Methods: 189 PAKGEN ^99m Tc generators were tested at the Centre for Nuclear Medicine and Radiotherapy (CENAR) in Quetta, Pakistan, from December 2019 to December 2023. Each generator was eluated daily from Monday to Saturday, and the molybdenum content in the …

Data Driven Estimation Of Pore Size Using 1d Light Emissions For Laser Powder Bed Fusion Additive Manufacturing, Jose Galarza, Jorge Barron, Luis Jimenez, Tamer Oraby, Jianzhi Li, Farid Ahmed

Manufacturing & Industrial Engineering Faculty Publications

The quality assurance of the Laser Powder Bed Fusion Process (LPBF) has been extensively investigated over the last decade for in-situ monitoring of metal additive manufacturing. The process inherently generates voids within the bulk of the part, which can detrimentally affect the quality of the printed part. The characterization of these voids by estimating their size and identifying their geometrical features remains a challenge. This study introduces a Machine Learning (ML) based framework for estimating void sizes of varying geometries using layer-wise one-dimensional (1D) average light intensity signal obtained from the optical tomography system during the 3D printing of metallic …

The Lived Experience Of African Immigrants Receiving Mental Health Services In The U.S., Ori Adure Onazi

Walden Dissertations and Doctoral Studies

No abstract provided.

The Impact Of Policing On The Mental Health Of Black Communities, Roishetta Sibley Ozane

Walden Dissertations and Doctoral Studies

No abstract provided.

Exploring The Social Structures Developed By The Internally Displaced Persons (Idps) To Govern Their Lives During Displacement, A Burkina Faso Case Study, Abdou-Salam Savadogo

Walden Dissertations and Doctoral Studies

No abstract provided.

A Qualitative Analysis Of Citizen Response To The 2025 Post Fire Recovery In Los Angeles, Richard Vaughn

Walden Dissertations and Doctoral Studies

No abstract provided.

Experiences Of Recent High School Graduates In Missouri Regarding Stress Management And Coping Skills Within Their Health Education Curriculum, Courtney Faye Thomas

Walden Dissertations and Doctoral Studies

No abstract provided.

University Counselors' Experiences With Providing Services To Students Of Color, Kim Ridley

Walden Dissertations and Doctoral Studies

No abstract provided.

Beyond A Corrective Experience: Reimagining Liberation In Special Education, Erin Elise Macnabb

Doctoral Dissertations

This qualitative study establishes a critical bridge between special education and liberatory pedagogy, positioning these historically siloed fields as interdependent for systemic justice. While Special Education Teachers (SETs) daily work involves resisting systemic oppression, special education has been historically excluded from liberatory pedagogy and instead focused on medicalized models and deficit based assumptions. The separation of liberatory pedagogy and special education contributes to professional siloing and a culture of compliance that prioritizes bureaucratic processes over the meaningful and radical work of SETs.

The research utilizes a qualitative design rooted in Collaborative Critical Inquiry (CCI) where an intentional sample of veteran, …

The Effectiveness Of Mastery Learning On Student Achievement Across Stem Disciplines: A Meta-Analysis, Francis Siangco Estabillo

Doctoral Dissertations

Mastery learning has been one of the most extensively researched instructional strategies in education, studied continuously since the 1960s. Prior meta-analyses have consistently found positive effects of mastery learning on student learning outcomes, however, none have examined its effectiveness on student achievement explicitly within science, technology, engineering, and mathematics (STEM) disciplines.

This comprehensive meta-analysis investigated the effectiveness of the mastery-learning instructional strategy on student achievement across STEM disciplines in K-12 and higher-education contexts. A systematic literature search yielded 85 studies with combined sample sizes of 10,244 participants that met the inclusion criteria. Heterogeneity was assessed using Q,I^{2 …}

Your Land Is My Land: Why Utah's Public Land Belongs To The United States, Corey Gardner

Penn State Law Review (2003 - Present)

No abstract provided.

Automatic Speed Guidance Method And Simulation Evaluation For Trams At Intersections, Jing Teng, Wencong Tong, Zhongjie Zhang, Xing Yao, Junxian Li

Journal of System Simulation

To address the lack of speed regulation mechanism and the high dispersion of operational time in the current manual driving mode, this paper proposes an automatic speed guidance method for trams at intersections. Considering the speed disturbances caused by potential traffic conflicts at intersections, an initial decision point for safe passage speed at an intersection is established, dividing the operational curve into deterministic segments and disturbance-response segments.To verify the effectiveness of the method, a case study of Songjiang Tram Line 1 is conducted.Driving simulation experiments are performed to obtain manual driving trajectories, and a dynamic trajectory simulation model …

Returns To Green Tasks In Europe: Evidence From Online Job Vacancies, Leanne Cass, Federico Fabio Frattini, Aurélien Saussay, Misato Sato, Francesco Vona

Fondazione Eni Enrico Mattei Working Papers

There is growing evidence that green jobs have higher skill requirements, but whether they offer sufficient wage incentives to encourage workers to acquire those skills remains unclear. We study the green wage premium and its drivers to isolate the average return to green tasks using online job vacancy (OJV) data for EU countries over the period 2018-2023. We develop a transparent LLM-based approach to classify job vacancies as green when they list at least one green task. Green jobs pay a premium of 5.5% relative to comparable postings within the same occupation, and this estimate is little changed when controlling …

Capacity Market Trading Strategies Of Generators Based On Per-Maddpg Algorithm, Yanbin Li, Zhaolun Pan, Xinyue Ma, Minghao Song, Yujie Hu, Xiaoda Xue

Journal of System Simulation

Considering the issue of how power generators trade off their quantity and price bidding strategies to maximize profits in different capacity market environments, a capacity market bidding equilibrium model is constructed. Recognizing the limitations of traditional solution methods, which rely on the assumption of complete information and have low utilization of historical trading strategy information, a capacity market trading simulation method based on prioritized experience replay multi- agent deep deterministic policy gradient (PER-MADDPG) is proposed. The action space is constructed using quantity bidding strategy and price bidding strategy, and the state space is constructed using historical transaction strategies and winning …

An Automated Generation Method For Combat Simulation Scenarios Based On Large Language Models, Zhiming Dong, Zhongqi Hu, Haoran Dai, Jiancheng Gao

Journal of System Simulation

To address the issue of low efficiency in generating traditional army tactical combat simulation scenarios, an automated generation method based on large language models is proposed. The large language model invokes a semantic segmentation algorithm to parse and restructure the combat scenario, forming semantic modules. Utilizing a multi-agent collaborative framework based on the model contextual protocol, the large language model drives each agent to extract simulation elements from the corresponding semantic modules, constructing a knowledge graph of scenario elements. Using this knowledge graph as a retrieval medium, the method employs a dense retrieval algorithm to achieve precise matching between simulation …

Robust Identification Of Black-Box Nonlinear Ssm Using Expectation-Maximization, Xiaonan Li, Tao Chao, Ping Ma, Ming Yang, Yuxuan Wang

Journal of System Simulation

To address the robust identification problem of nonlinear state space models (SSM) with outliers, missing observations, and unknown state equations, this paper proposes a modeling method based on eigenfunction expansion, Gaussian-process state-space models (GP-SSM), and Student-t distribution. The proposed approach consists of: modeling the state transition function using eigenfunctions and pre-encoding the priors of basis function coefficients via GP-SSM to enhance flexibility; modeling observations as a Student-t distribution with unknown parameters to enhance robustness against outliers; proposing the enhanced particle Gibbs with ancestor sampling (EPGAS) algorithm to adapt to state estimation in scenarios with missing observations; and deriving unknown model …

Multi-Agent Cbs Path Planning Algorithm Based On Minimum Planning Margin First, Longxiao Liang, Jianlin Mao, Niya Wang, Chengyuan Fang, Wenna Zhou

Journal of System Simulation

To address the problems of chain effect and insufficient solving efficiency in the conflict tree (CT) expansion of the traditional conflict-based search (CBS) framework, a minimum-margin-first CBS algorithm based on planning margin was proposed. The calculation of planning margin was introduced into the underlying A* search, and the robots with the minimum margin were prioritized in the high-level conflict resolution, to suppress the chain expansion of the CT while ensuring path optimality.Simulation experiments show that the proposed algorithm significantly reduces the amount of CT node expansion and the number of root node conflicts and effectively improves the solving efficiency, …

Topology Identification Of Complex Dynamical Networks Under Dynamical Saturation Inputs, Haoyu Wang, Yayong Wu, Guoping Jiang, Ying Zheng, Xuanxin Zhou

Journal of System Simulation

In view of the problem that the controller inputs in actual engineering systems are vulnerable to the constraints of dynamical saturation and delayed dynamical saturation, which makes it difficult for the topology identification of complex dynamical networks to adapt to real physical scenarios, a topology identification method based on the drive-response mechanism was proposed. A response network with the same dynamical characteristics and node scale as the original network was constructed, and the dynamical equation of synchronization error between the drive-response networks was established. A controller with dynamical saturation and delayed dynamical saturation and a topology identifier were designed, and …

Robust Two-Stage Mimo-Ofdm Channel Estimation Method Against Sensing Errors, Yi Peng, Jun Wang, Qingqing Yang, Jianming Wang, Hui Li

Journal of System Simulation

To address the challenges of performance degradation, high pilot overhead, and high computational complexity in traditi onal channel estimation methods for integrated sensing and communication (ISAC) assisted MIMO-OFDM systems when radar sensing information contains errors, this paper proposes a robust two-stage sparse channel estimation framework designed to be tolerant of sensing errors. In the first stage, a residual energy weighted simultaneous orthogonal matching pursuit (REW-SOMP) algorithm is designed. Leveraging locally adaptive dictionary expansion and a residual- weighted path selection mechanism, it accurately captures communication-associated paths even under sensing errors. The second stage introduces an adaptive penalty factor alternating direction method …

Dynamic Task Planning For Wargaming Based On Large Language Models, Yingang Liu, Ming Ma, Ronghua Zhang

Journal of System Simulation

To address the problems of great difficulty in intelligent decision-making and insufficient dynamism in task planning caused by the complex adversarial environment and strong uncertainty in wargaming tasks, this paper proposed a hierarchical Agent collaborative decision-making framework based on large and small model synergy.Through a multi-level structure, the hierarchical decoupling and dynamic coordination of battlefield tasks were achieved. A memory management module was constructed, and a query optimization mechanism driven by large language models was introduced to dynamically perceive the decision-making process and query intent, completing the semantic reconstruction and context completion of raw queries. A time-driven two-stage task …

Ultra-Short-Term Photovoltaic Power Prediction Based On Improved Patchtst Considering Data Drift, Huawei Mei, Penghui Yang, Yang Yu

Journal of System Simulation

Existing PV power prediction methods often suffer from limited accuracy and robustness due to three key shortcomings: relying on single-point mapping that cannot fully extract local temporal patterns; inadequate exploration of the global temporal dependencies in PV output, and failure to account for prevalent data drift phenomena. To overcome these limitations,an improved patch time series transformer (PatchTST) based approach is proposed for ultra-short-term PV power prediction. The methodology applies rough set theory for feature dimensionality reduction, effectively preserving critical decision information by analyzing both feature-label relationships and inter-feature correlations. An enhanced PatchTST model with a modified channel-independent mechanism extracts …

Sos Effectiveness Evaluation Method Based On Fuzzy Functional Dependency Network Analysis, Hongjia Su, Cheng Zhang, Fei Liu

Journal of System Simulation

Functional dependency network analysis (FDNA) enables modeling functional dependencies among equipment in a system of systems (SoS) and then computing the whole SoS effectiveness based on the effectiveness of each equipment, thus overcoming the deficiency of traditional SoS effectiveness evaluation based on tree-like index systems. However, critical parameters such as strength/criticality of dependency in this methodology currently rely on subjective empirical assignments, where the deviations resulting from subjectivity may compromise the accuracy of effectiveness evaluation. To address this limitation, this paper proposes a fuzzy FDNA (FFDNA)-based SoS effectiveness evaluation method. This method constructs a functional dependency network (FDN) model …

Multi-Agent Reinforcement Learning Method For Wargame Simulation Based On Suboptimal Demonstration Guidance, Zicong Zhou, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin

Journal of System Simulation

To address issues such as fixed behavior patterns and insufficient adaptability in complex adversarial environments exhibited by traditional wargame agent decision-making models, this paper proposes a multi-agent reinforcement learning method based on suboptimal demonstrations (MARLSD). The proposed method integrates reward relabeling with a self-imitation learning mechanism, effectively improving the training efficiency of multi-agent reinforcement learning algorithms in environments with large state-action spaces and sparse rewards, even when only a small number of suboptimal demonstrations are available, while encouraging agents to explore better strategies. Experimental results show that, compared with baselines such as QMIX and MAGAIL, MARLSD significantly improves performance and …