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Scientific Journal of King Faisal University: Humanities and Management Sciences

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Scientific Journal of King Faisal University: Humanities and Management Sciences

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Scientific Journal of King Faisal University: Humanities and Management Sciences

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Scientific Journal of King Faisal University: Humanities and Management Sciences

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Fostering Student Inquiry With Perspective Taking And Music: The Geography Detective Activity, William Gary G. Cole

Teaching Social Studies in the Peach State

This article introduces the Geography Detective activity, an inquiry-based instructional strategy that integrates perspective taking and music to foster student engagement and disciplinary thinking in a ninth-grade World Geography classroom. Centered on the song “Cecilia” by The Mulligan Brothers, the activity invites students to analyze lyrics as historical evidence, investigate geographical and historical contexts, and construct evidence-based interpretations of time, place, and events embedded within the narrative. Through guided and open-ended inquiry, students adopt the role of “history detectives,” grappling with ambiguity, evaluating sources, and defending plausible conclusions rather than seeking predetermined answers. Grounded in research on inquiry-based learning, perspective …

Building The Foundation For Stem In Toddler Classrooms: Practical Strategies For Novice Teachers, Melissa L. Johnson

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Young children are natural explorers, and even in the toddler years, they demonstrate the inquiry behaviors foundational to later science, technology, engineering, and mathematics (STEM) learning. However, early STEM experiences are often underutilized in toddler classrooms, primarily due to misconceptions about children's capabilities and a lack of developmentally appropriate resources. This article, written for novice educators, offers practical strategies and examples to help integrate STEM into toddler classrooms. Drawing on current research, national standards, and classroom-based implementation strategies, this piece outlines how to create engaging environments that support toddlers' curiosity and emerging STEM thinking across science, technology, engineering and mathematics.

Radiomics Analysis Of Deltoid Muscle On Preoperative Shoulder Imaging For Reverse Total Shoulder Arthroplasty, Henry Lee Bs, Christina Hills Bs, Connor Sakis, Humza Bhatti Bs, Arya Sharma, Perra Razoky Md, Prateek Chintalapati Md, Lisa Doan Bs, Adam Alessi Phd, Jared Mahylis Md, Stephanie Muh Md, Chad Klochko Md

Medical Student Research Symposium

Title: Radiomics Analysis of Deltoid Muscle on Preoperative Shoulder Imaging for Reverse Total Shoulder Arthroplasty

Authors: Henry J. Lee BS, Christina Hill BS, Connor Sakis BS, Humza Bhatti BS, Arya Sharma, Perra Razoky MD, Prateek Chintalapati MD, Lisa Doan BS, Adam Alessio PhD, Jared Mahylis MD, Stephanie Muh MD, Chad Klochko MD

Background: Studies have shown that increased preoperative deltoid volume is associated with improved postoperative outcomes in reverse total shoulder arthroplasty (rTSA). Radiomics is a field which uses mathematics and machine learning for image analysis. It shows promise as a tool for characterizing the deltoid preoperatively. This study …

Characterizing Stiffness Dynamics Of Normal And Malignant Breast Spheroids Using Brillouin Microscopy, Razanne Rafat Zaghloul, Karlin Hilai, Chenjun Shi, Jitao Zhang

Medical Student Research Symposium

Background: Breast cancer progression and metastasis are closely linked to alterations in the mechanical properties of tumor cells and their microenvironment. Softer, more deformable cells are often associated with higher metastatic potential. While atomic force microscopy (AFM) is the current gold standard for mechanical characterization, it is limited to surface measurements and can damage 3D cultures. It remains unclear how the mechanical properties evolve over time in normal versus malignant spheroids. This study utilizes Brillouin light-scattering microscopy, a non-contact and label-free optical technique, to assess stiffness changes in normal and malignant breast epithelial spheroids over time. Understanding these mechanical signatures …

Environmental Mercury Alters Immune Pathways Linked To Autoimmune Risk In Mice Mirroring Humans, Maurgan Lee, Paul Stemmer, Randall Gill, Allen Rosenspire, Anil Aranha, Heather Gibson

Medical Student Research Symposium

Background and Purpose: Mercury is a pervasive environmental contaminant, and human epidemiologic studies have linked chronic low-level exposure to increased autoimmune disease-risk. Dysregulated lymphocyte activation and impaired signaling tolerance are central mechanisms in human autoimmunity. Protein phosphorylation governs lymphocyte differentiation and function, alterations in phosphoproteomic networks may represent a signature of immune disruption. This study evaluates how low dose mercury exposure modifies B and T cell abundance and intracellular signaling patterns in BALB/c and Diversity Outbred (DO) mice.

Methods: BALB/c and DO mice were exposed to low dose HgCl2 in their water for two weeks or provided standard water controls. …

Generative Audio Replacement Via Temporal And Spectral Matching, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

A system related to generative audio replacement via temporal and spectral matching. The system extracts a Semantic Audio Profile from a reference audio track including temporal features and spectral/tonal features, generates replacement audio using a generative model conditioned on the profile with temporal control signals for beat alignment, performs source separation to preserve dialogue and sound effects, and mixes the generated audio with preserved stems to produce synchronized replacement audio.

Spectral Retriever For Large Language Model (Llm) Multi Agent Systems, Andrea Morandi, Saurabh Gupta

Defensive Publications Series

When artificial intelligence (AI) agents search large product catalogs, conventional retrieval systems often return the wrong document because they compress each document into a single summary vector, losing small but critical details that distinguish one product from another. Proposed herein is a spectral retriever technique that addresses this problem by examining documents at multiple levels of detail at the same time, from individual product identifiers to overall document meaning. The spectral retriever technique automatically determines whether a query calls for fine-grained matching, broader semantic understanding, or an intermediate level of granularity, without domain-specific rules or model retraining.

Hydrosynbio H₂O-Matrix System: Integrated Bio-Photonic Water Synthesis Platform With Hybrid Apccm+Depb Gas Separation And Ai-Neural Optimization, Mohammed Hani Jebreen

Defensive Publications Series

The HydroSynBio™ H₂O-Matrix System is a novel integrated bio-photonic platform for atmospheric water synthesis. The system combines dual-chamber photobioreactors using Chlamydomonas reinhardtii for biological hydrogen production and Elodea canadensis for oxygen production, powered by solar energy.

The core inventive step is a hybrid low-energy gas separation technology (APCCM asymmetric polymer-ceramic membrane + DEPB dynamic electrochemical potential barrier) coupled with pulsed pressure-swing adsorption, enabling efficient separation of biologically generated H₂ and O₂. The separated gases are then catalytically recombined in a Pt/C PEM reverse fuel cell to produce pure water.

The entire process is optimized in real-time by an AI-neural controller …

The Degree To Which Female Science Teachers In Riyadh Possess 21st-Century Skills, Haya Bint Mohammed Bin Abdullah Al-Subaie

University of Bisha Journal for Educational Sciences

This study aimed to identify the degree to which female science teachers in Riyadh possess 21st-century skills. A descriptive survey methodology was utilized. A random sample of 278 science female teachers from middle public schools for the year 1446 AH was selected. To achieve the research objectives, a questionnaire comprising 50 items was developed, covering three primary dimensions: Learning and Creativity, Digital Literacy, and Life and Career Skills. The validity and reliability of the instrument were verified using appropriate statistical methods. The results showed that the degree of female science teachers’ possession of 21st-Century Skill was high, with a relative …

The Analytic Hierarchy Process As A Tool For Architectural Quality Assessment: A Case Study On Municipal Facades, Gül Şebnem Tutal, Fatma Demet Aykal

HBRC Journal

This study evaluates the façade quality of three municipal buildings using the Analytic Hierarchy Process (AHP) to identify strengths, weaknesses, and improvement priorities in public architecture. Although façade design has been widely studied, quantitative and integrated assessment frameworks for municipal building façades remain limited. To address this gap, the study integrates the Design Quality Indicator (DQI) with AHP within a Multi-Criteria Decision Making (MCDM) framework, proposing a systematic and replicable evaluation model. The research assesses three main DQI criteria-functionality, building quality, and impact-subdivided into twelve sub-criteria and analyzed through pairwise comparison matrices. Data were collected through structured expert interviews with …

Kebebasan Hakim Memutus Perkara Dalam Konteks Pancasila (Ditinjau Dari Keadilan “Substantif”), Ery Setyanegara

Jurnal Hukum & Pembangunan

Abstract

Assessing The Use Of Synthetic Tabular Data: An Analysis Of The Adult Dataset, Abdullah Balamash

Journal of King Abdulaziz University: Engineering Sciences

In this study, we evaluate the effectiveness of synthetic data generated using the Gaussian Copula (GC) and Conditional Tabular Generative Adversarial Network (CTGAN) models within the Synthetic Data Vault (SDV) framework by applying it to the Adult data set [1]. This is done in three steps:(1) Training and Testing on Real Data (Baseline), (2) Training on Synthetic Data and Testing on Real Data (TSTR), (3) Training on (Synthetic + Real Data) and Testing on Real Data (Augmentation with Real Data), (4) Minority Class Oversampling. The TSTR results show that synthetic data preserves the predictive features of baseline data. Augmentation with …

Scope Of Utilizing Waste Marble Dust In Concrete: Statistical And Surface Response Approach, Khatib Zada Farhan

Journal of King Abdulaziz University: Engineering Sciences

The sludge produced from marble processing has become a significant environmental hazard in major marble mining and processing countries. Utilizing marble dust (MD) as a partial replacement for cement offers benefits: it reduces the need for landfill disposal, which can lead to air and water pollution, and it decreases the consumption of cement, which contributes to the global carbon footprint. This study examines the key properties of concrete incorporated with MD and develops a composite mix with the optimal MD content using response surface methodology. The influence of MD/Cement ratio, Water/Cementitious material ratio, and parameters indicating important constitutive elements in …

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 …

Detection Method For Laboratory Ppe Compliance Wearing Based On Human Key Points, Lijun Peng, Tingqi Su, Peijin Liu, Lin He, Xiewu Zhou, Minxin Zhang

Journal of System Simulation

To address the problems of high missed detection rate and inaccurate judgment of wearing compliance when multi-scale and multi-category targets of laboratory personnel's safety protective equipment are detected in a complex laboratory environment, this paper proposes a laboratory personnel's standard personal protective equipment (PPE) wearing detection method (multi-scale multi- target joint key point detection method, MSMT-JKDM) that integrates multi-scale features and human keypoints. The multi-scale adaptive down sampling (MSA-Down) module and the cascaded group attention transformer (CGA Former) are introduced to enhance the feature representation ability of PPE (especially small targets such as goggles and gloves) in laboratory detection scenarios, …

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 …

Optimizing Gated Rnns, Joshua Paul Fechete

Honors Projects

Gated recurrent neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) help fix instability present in normal recurrent neural networks. This allows them to be used for various real-world tasks, and due to their architecture, they are uniquely qualified to handle variable sized input such as text. However, even before training can begin on a machine learning model, various hyperparameters must be chosen to decide how the model will be architectured. Choosing good hyperparameters is vital for creating a model that performs well but is not larger and more computationally expensive to run than it needs …

The Joy Of Shopping: Thrill Of The Treasure Hunt, Jane Gu, Cristina Nistor, Matthew Selove

Business Faculty Articles and Research

People sometimes enjoy the thrill of the hunt, which implies search can generate joy in addition to costs. Some customers say they enjoy searching for unique items such as vintage T-shirts and luxury handbags, and managers at warehouse stores, thrift stores, and many online selling platforms say they design their store format to offer a treasure hunt experience. We develop a model in which customers enjoy searching for a treasure. Our model’s search utility function includes a term based on the treasure’s net value, a term based on the instantaneous likelihood of discovering treasure, and a constant term reflecting other …

A Quantitative Study On Broadband Access Rates In K-12 Schools And Student Academic Achievement, Tonya Michelle Todd

Electronic Theses and Dissertations

As technology evolves, so do K-12 educational platforms and policies. However, research into broadband access’s influence on student academic achievement is limited and some are outdated. Without adequate knowledge on the topic, educational and policy leaders are at risk of misallocating educational technology funds. Given the substantial monetary investment involved in the implementation of this public education policy and the limited research on the influence of broadband access rates on student academic achievement, the purpose of this study is to investigate whether the SC Educational Technology Plan’s broadband expansion influenced student academic performance.

This quantitative study sought to determine whether …

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, …

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 …

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 …

Robot Trajectory Planning And Adjustment Method For Abnormal Pose Of Actuator, Lang Qin, Jiacheng Xie, Xiaojun Qiao, Xuewen Wang, Zhijie Xiao

Journal of System Simulation

To address the influence of the abnormal pose of the robot actuator on the robot trajectory, an adaptive planning and adjustment method of trajectory based on virtual-real fusion was proposed. AR technology was introduced to couple with the robot kinematics model, and the hardware dependence on multiple sensors was replaced by synchronous comparison of three-dimensional virtual and real poses; AR gestures and voice interaction were combined to simplify the operation process; based on the actual pose of the actuator, the trajectory of the robot terminal axis was dynamically adjusted. The experimental results show that this method breaks through the technical …

A Decade Of Coffee Research In Indonesia, Philippines, And Vietnam (2015–2024): Bibliometric And Thematic Insights For Philippine Coffee Science, Analiza D. Resurreccion, Christian P. Gopez, Henry Leen A. Magahis, Leslie Anne L. Liwanag, Feorillo A. Demeterio Iii

Forest and Society

Coffee is a key agricultural commodity in Southeast Asia, with Vietnam and Indonesia ranking among the world's leading producers, while the Philippines faces declining output and fragmented research efforts. This study compares coffee-related research in Indonesia, Philippines, and Vietnam from 2015 to 2024 to inform strategies for strengthening Philippine coffee science. A mixed-methods scientometric and thematic approach was applied to a corpus of Scopus-indexed journal articles. Descriptive bibliometric indicators were used to examine research productivity, citation visibility, collaboration structures, institutional participation, funding composition, and disciplinary coverage. Longitudinal patterns in selected indicators were assessed using non-parametric trend analysis (Kendall's τ and …

The Lawyer Is In!: Copyright Litigation Over Time, Ellen Amatangelo, Marissa Bischoff, Morgan Capitan, Jack Newman

Faculty Publications

This presentation is an overview of copyright litigation that has affected libraries. The session provides a hands-on look at specific cases and how they have affected and changed library work over time. A lawyer from the BYU Copyright Office provides commentary on each case and librarians discuss the impact of these cases on library policy. This helps to alleviate librarians' fear of copyright and legislation and provides guiding principles for the future.

This session was hosted by the Copyright Education Roundtable and presented at the Utah Library Association 2026 Annual Conference.

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 …