Digital Commons Network^™

Analysis Of Monthly And Annual Air Temperature Trends In Port-Said City, Egypt, Amna S. Dabbous, Yasser M. El-Wakeel, Tarek M. El-Geziry

Blue Economy

This study examined fluctuations in a long-term air temperature record in Port Said to determine the existence or absence of climate change in this significant Egyptian metropolis. The data period runs 31 years, from 1991 to 2021. The study investigated the homogeneity of the annual data and used a linear regression approach to characterize the trend of air temperature variations during the study period. Furthermore, the Mann-Kendall test was used to assess trend significance, as well as anomaly calculations to statistically specify severe air temperature episodes. The results showed that the data were homogeneous. Monthly mean air temperatures increased at …

Tweeting Over Time: Twitter/X For Communication, Assessment, And Growth In Middle Level Teacher Education, Toni M. Williams

Current Issues in Middle Level Education

This article shares how preservice Middle Level teacher candidates used social media, specifically Twitter/X as both a resource and a tool and how that tool became important in assessing student growth and knowledge building which, in turn, informed instructional planning for the teacher education classroom. This is paramount for teacher educators and the future educators they teach, as they are preparing to create a variety of engagements for learning in teacher education programs and in middle level classrooms. Creating an online community is a means in which all preservice teachers can use their voices while at the same time having …

Tcas Benchmark, Vol. 14, No. 3, 2000, Wendy Lockwood, Marvin Glasgow, Glynn Osburn

North Texas Archeological Society Records

Volume fourteen and issue three of TCAS Benchmark

Tcas Benchmark, Vol. 13, No. 8, 1999, Glynn Osburn, Marvin Glasgow, Jesse Todd, Pennie Lowetz

North Texas Archeological Society Records

Volume thirteen and issue eight of TCAS Benchmark

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

The Contingencies Of Chinese Diasporic Identities In Charlson Ong’S Speculative Fiction, Joseph Ching Velasco

Kritika Kultura

Charlson Ong’s award-winning novel An Embarrassment of Riches (2000) creatively narrates the history of the Chinese diaspora as an overdetermined event in the Southeast Asian Region. The novel explores the politics of belonging, displacement, identity, and territory through a/n (re)imagined nation built primarily on Philippine historical and cultural contingencies. This essay seeks to explore the junctures and vicissitudes of the Chinese diaspora in the region through the following questions: How is hybridity manifested by selected characters and other cultural elements in the narrative? Second, how do the perceptions of homeland, marked by ambivalence and contradiction, operate in the narrative? And …

The (Mis)Education Of The Filipino Writer: The Tiempo Age And Institutionalized Creative Writing In The Philippines, Conchitina Cruz

Kritika Kultura

According to Merlie Alunan, the writers Edilberto and Edith Tiempo, founders of the Silliman University National Writers Workshop, have so influenced Philippine literary production that the latter half of the twentieth century and “a few more decades hereafter” can be called “The Tiempo Age.” This essay examines the relationship of aesthetics and politics in institutionalized creative writing in the Philippines by unpacking the politics of the Silliman Workshop’s autonomous aesthetics. It situates the origins, pedagogy, and imagined community of the Silliman Workshop within the network of American colonial education in the Philippines, American cultural diplomacy, and institutionalized creative writing in …

Optimization Of The Starch Chitosan-Based Flocculant Crosslinked By Ethylene Glycol Dimethacrylate On Removing Dypro 19 Textile Dye From Wastewater, Asep Nurohmat Majalis, Putri Ramadhani, Hendris Hendarsyah Kurniawan, Axel Dimaz Sanusi Pasaribu, Hafiizh Prasetia, Fitri Yuliani, Andreas Andreas, Hartati Hartati

Karbala International Journal of Modern Science

Dyes used in industry, especially textile dyes, are one of the water pollutants that receive much attention because they are potentially toxic, carcinogenic, mutagenic, and generally challenging to decompose naturally. Textile dyes from wastewater can be removed through coagulation-flocculation. However, conventional coagulation-flocculation based on Fe and Al salts and synthetic polymers often leaves residual pollution. In this research, the performance of the new biopolymer-based flocculant, namely starch-ethylene glycol dimetacrylate-chitosan (SEC), which can act as coagulants and flocculants in solid-liquid separation of textile dyes, has been optimized using response surface methodology (RSM) approach. The influences of several independent variables, such …

Breast Cancer Area Identification In Mammograms Using Expectation Maximization Gaussian Mixture Model, Rizki Khoirun Nisa, Dian Kurniasari, Favorisen R. Lumbanraja, Warsono Warsono

Karbala International Journal of Modern Science

Breast cancer accounts for 25% of all cancer diagnoses and 16% of cancer-related deaths among women globally, with high mortality rates due to late diagnosis. Early detection relies on imaging techniques such as mammography, histopathology, and breast ultrasound, with mammography being the gold standard due to its proven to detect breast cancer, thus it is effective for breast cancer treatment. However, mammogram images often produce noise and artefacts, complicating early-stage cancer detection and emphasizing the need for advanced image processing. Clustering algorithms such as K-means and Expectation Maximization - Gaussian Mixture Model (EM-GMM) have shown potential in image segmentation. This …

Simulation Of Cascade Failure In Urban Rail Transit Hypernetworks Based On Hypergraph Theory, Zijin Han, Mingjun Qian, Xixian Wang, Kaiyue Zhang

Journal of System Simulation

Abstract: In order to enhance the resilience of urban rail transit networks to ensure stable operations and passenger safety in the face of emergencies, hypergraph theory is introduced to construct a hypergraph based urban rail transit hypernetwork model, and a nonlinear load-capacity cascading failure model based on passenger flow weighting is established. In response to the passenger evacuation process at actual transportation network stations, a load redistribution mechanism is proposed, taking into consideration both the network level and the importance of passenger flow. To address scenarios where stations in actual traffic networks can still accommodate loads during shutdowns, a node …

A Fast Federated Learning-Based Crypto-Aggregation Scheme And Its Simulation Analysis, Boshen Lü, Xiao Song

Journal of System Simulation

Abstract: To solve the problem of increased computation and communication costs caused by using homomorphic encryption (HE) to protect all gradients in traditional cryptographic aggregation (cryptoaggregation) schemes, a fast crypto-aggregation scheme called RandomCrypt was proposed. RandomCrypt performed clipping and quantization to fix the range of gradient values and then added two types of noise on the gradient for encryption and differential privacy (DP) protection. It conducted HE on noise keys to revise the precision loss caused by DP protection. RandomCrypt was implemented based on a FATE framework, and a hacking simulation experiment was conducted. The results show that the proposed …

Critical Node Identification Method For Unmanned Aerial Vehicle Cluster Considering Localized Features, Chenglong Shi, Xiang Hua, Dong Wang, Jinjin Zhang, Tianqi Jiang, Yuanzhang Dang

Journal of System Simulation

Abstract: Aiming at the problem that the UAV cluster critical node identification methods focus on the global network and ignore the correlation between nodes and their local features, a critical nodes identification method for unmanned aerial vehicle cluster considering local features is proposed. An unmanned aerial vehicle cluster network model is constructed based on complex network theory. The Laplacian energy is introduced to evaluate the importance of node within two hops, and information entropy is combined to evaluate the importance of node in a specific motif to comprehensive identify the critical nodes. Simulation results demonstrate that this method identifies critical …

Optimization Of Urban Agglomeration Transportation Network Evacuation Paths, Bowei He, Chengbing Li, Shida Nie, Jialin Wang

Journal of System Simulation

Abstract: Given the complexity of the internal transportation network structure within urban agglomerations and the presence of numerous alternative routes, this paper proposes an enhanced ant colony algorithm to address the evacuation path problem of urban agglomeration transportation networks. A comprehensive urban agglomeration transportation network model is constructed, in which the issue of virtual transfer edges within the urban scope is considered and a weighting function is constructed taking into account the travelling time cost and the transferring time cost. Optimizations are applied to the ant colony algorithm, constructing an adaptive adjustment of state transitions and an information pheromone update …

A Threat Assessment Method In Uncertain Dynamic Environments, Mei Yang, Bingkun Wang, Zhongjie Zhang, Yan Zeng, Jian Huang

Journal of System Simulation

Abstract: A threat assessment method based on priori information and dynamic observation results is studied for the existence of dynamic uncertainty in complex war systems. The data mining is applied to obtain prior knowledge on the battlefield situation and construct an equipment-related confidence matrix. The sensor model is constructed to dynamically update the number of blue-side entities under the current situation by using the Bayesian method and considering both intelligence and observation results. The threat evaluation indicators and their weights are determined, and the TOPSIS method is used to finish the threat assessment. This method can well describe the complex …

Research On Adaptive Scheduling Of Single-Arm Cluster Tools For Throughput Ratio Of Multiple Wafer Types With Concurrent Processing, Chunrong Pan, Yu Cui, Wenqing Xiong, Hao Zhou, Jiliang Luo

Journal of System Simulation

Abstract: Concurrent processing makes the wafer fabrication process prone to deadlocks and completion node ambiguity. A Petri net model is established to describe the system operation process by taking for the single-arm cluster tools for fully parallel processing of two wafer types as the research object, and a control strategy is developed to avoid the system deadlock. Based on the Petri net model, the temporal properties of the system is analyzed based on earliest starting strategy, and the action cycle sequence of robot is determined during the monitoring cycle for different scenarios of lot switching in a single production monitoring …

Research On Latent Space-Based Anime Face Style Transfer And Editing Techniques, Haixin Deng, Fengquan Zhang, Nan Wang, Wancai Zhang, Jierui Lei

Journal of System Simulation

Abstract: To address issues such as image distortion and style uniformity in existing anime style transfer networks within the field of image simulation, we propose the TGFE-TrebleStyleGAN (textguided facial editing with TrebleStyleGAN) for anime facial style transfer and editing. This framework leverages vector guidance within the latent space to generate facial imagery and incorporates a detail control module and a feature control module to constrain the aesthetic attributes of the generated images. The images generated by the transfer network serve as style control signals and constraints for fine-grained segmentation. Text-to-image generation technology captures correlations between styletransferred images and semantic information. …

Research On Digital Twin Simulation Method Of Industrial Robot Integrated With Reinforcement Learning, Tianyue Miao, Lu Wang, Jiaxiao He, Nenggang Xie

Journal of System Simulation

Abstract: In response to the lack of comprehensive functionality and limited application scenarios in the current field of industrial robot digital twin systems, which results in low versatility, a method for constructing a digital twin system for industrial robots with high versatility is proposed. A four-dimensional system architecture for the digital twin is designed, and the components and functions of the four-dimensional system are analyzed, based on the system level planning of the four-dimensional system, the concept of integrating reinforcement learning into the virtual replacement of real concept is defined. By constructing a multi-attribute virtual model and using TCP communication …

Research On Multi-Objective Gait Planning Of Biped Robot Based On Virtual Prototype, Yankai Zhang, Xuesong Wang, Yubin Jin, Dongsheng Zhang

Journal of System Simulation

Abstract: A multi-objective gait optimization method based on virtual prototype is proposed to address the difficulty of balancing personalisation and performance in gait planning for bipedal robots. A scale prototype of a planar underactuated biped robot is created according to the body structure of Chinese people, and an identification approach is used to determine the robot's exact inertial parameters. A virtual prototype of the robot is created, and three optimization goals—speed, energy use, and stability are developed. Using the enhanced NSGA-II algorithm, the Pareto optimal solution set for the robot multi-objective gait planning issue is produced. Numerous gaits that conform …

Interactions Of The Sars-Cov-2 Viral Genome 3’-Untranslated Region With Viral And Host Rnas, Caleb Frye, Mihaela Rita Mihailescu

Electronic Theses and Dissertations

This dissertation focuses on the characterization of RNA-RNA interactions within the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome and with host microRNAs. As the causative agent of coronavirus disease 2019 (COVID-19), SARS-CoV-2 has evolved rapidly since its appearance. This has warranted prompt characterization of the virus particularly of its single stranded RNA (ssRNA) genome. By using a combination of bioinformatics, biophysics, and/or biological assays, we analyzed the SARS-CoV-2 viral genomic RNA and uncovered interactions of genomic RNA with host RNAs, highlighting an underutilized method of targeting RNA viruses. We showed here that the conserved elements in the viral genomic …

Factors Affecting Involvement Of Parents Of Students With Learning Disabilities In Saudi Elementary Schools, Mohammed Alyahya

Electronic Theses and Dissertations

The research explores the factors that influence parental involvement in school children with learning disabilities in Riyadh, Saudi Arabia. Understanding these factors is crucial, as parental involvement is widely recognized as essential for the academic success of children, particularly those with learning disabilities. This study used a quantitative approach to collect data from parents of students with learning disabilities, including parents' age, gender, income, employment status, and parental beliefs (responsibilities and capabilities). The findings reveal that parental beliefs regarding their responsibilities towards their child's education are the only significant predictor of parental involvement. In contrast, other variables, including age, gender, …

Sloshing Analysis Of An Isothermal Fluid In A Cylindrical Tank For Cryogenic Tank Design Using Smoothed Particle Hydrodynamics, Dillon Freeman

The Plymouth Student Scientist

This paper investigates the capability of Smoothed Particle Hydrodynamics to model the free surface sloshing response of an isothermal fluid in a cylindrical geometry. Eleven frequencies for two horizontal driving amplitudes (0.5 mm & 2.0 mm) were validated against experimental results and the influence of the starting direction of the tanks acceleration on the steady state response was investigated. The SPH results reproduced the overall behaviour of the experimental data closely over the range of frequencies tested, but produced higher amplitudes with greater variance in the region of the tanks natural frequency. Furthermore good symmetry was observed between sidewalls for …

Development Of A Computational Model To Assess Wave Overtopping Performance Of Floating Structures Using Smoothed Particle Hydrodynamics, Emily Knott

The Plymouth Student Scientist

Wave overtopping in foul weather presents a hazard to sailors and offshore workers. Predicting the overtopping performance of a ship or structure is important to safety and performance but existing methods are either low accuracy or computationally expensive, and every design must be analysed separately. Smoothed Particle Hydrodynamics (SPH) may be used in the creation of less computationally expensive numerical simulations for overtopping analysis.

This paper extends upon the basic SPH method to incorporate wave generation and rigid body motion, enabling the wave overtopping performance of fixed and floating structures to be determined in two dimensions. This extended model was …

An Exploratory Analysis Of Within And Between-Testlet Local Item Dependence In A Medical School Admission Situational Judgment Test Using Exploratory Structural Equation Modeling, Ester Sampson

Theses and Dissertations

To use a Cronbach's alpha coefficient or IRT methods on measuring instruments, both unidimensionality and local item dependence (LID) conditions need to be met. Moreover, LID can potentially introduce an unintended additional dimension into the test at the expense of the constructs of interest. Situational judgment tests use testlet structures, and thus likely present degrees of LID. We explored the latent structure and degrees of local item dependence in a situational judgment test (SJT) used by a Western United States medical school (WMS) for admission purposes. I used a fully deidentified data set from a group of 560 examinees who …

Impact Of Self-Efficacy On Motivation In Recent Business Graduates, Steven James Chapman

JWU Dissertations & Theses

Each year throughout the United States, millions of bachelor’s degrees are conferred to recent graduates, and 17% of those graduates earned a business degree (Hanson, 2024). The problem this study addressed was rooted in the commonly held belief that recent graduates with a bachelor’s degree in business were not prepared with the skill sets needed to be successful and positively impact organizations (Berger, 2023; Molinsky & Pisman, 2019). The purpose of this research was to determine the skills that employers and recent graduates deem as most important for recent graduates with a bachelor’s degree in business to possess in a …

Quantifying Interpretation Reproducibility In Vision Transformer Models With Tavac., Yue Zhao, Dylan Agyemang, Yang Liu, J Matthew Mahoney, Sheng Li

Faculty Research 2024

Deep learning algorithms can extract meaningful diagnostic features from biomedical images, promising improved patient care in digital pathology. Vision Transformer (ViT) models capture long-range spatial relationships and offer robust prediction power and better interpretability for image classification tasks than convolutional neural network models. However, limited annotated biomedical imaging datasets can cause ViT models to overfit, leading to false predictions due to random noise. To address this, we introduce Training Attention and Validation Attention Consistency (TAVAC), a metric for evaluating ViT model overfitting and quantifying interpretation reproducibility. By comparing high-attention regions between training and testing, we tested TAVAC on four public …

Exploring The Benefits Of Feature Selection Based On Bat Algorithm And Deep Learning In Brain Cancer Diagnosis, Noor Fawzi Shafiq

Al-Esraa University College Journal for Engineering Sciences

Brain cancer is considered one of the most dangerous types that must be treated as soon as possible. Therefore, it is necessary to detect brain cancer in its early stages to enhance the diagnosis of the condition. This study proposes to combine the bat algorithm (BA) with deep learning methods to identify and classify brain tumors in medical images accurately.

In this paper, the bat algorithm was used to select distinctive features from the input brain images. The Bat Algorithm (BA) is a metaheuristic optimization algorithm that mimics the echolocation behavior of bats. It efficiently explores the feature space to …

A Study On Improving The Accuracy And Effectiveness Of Similarity Detection Processes In Text Files Using Nlp Techniques, Noor Abdulmuttaleb Jaafar

Al-Esraa University College Journal for Engineering Sciences

The rapid expansion of the Internet has revolutionized access to information, especially in the area of unstructured data, most of which consists of textual content. While instant access to information brings many advantages, it has also given rise to a prevalent problem – plagiarism. Copying and reusing materials without proper permission poses a significant threat to academic integrity and integrity. Rates of plagiarism, especially in academic and scientific publications, have risen with the advent of the Internet, reaching alarming levels, such as 60% in student projects. This study examines the proposed model that includes computation of similarity using cosine coefficients, …

Intersection Braking Guidance For Trams Based On Lineside Signs, Wencong Tong, Jing Teng, Junxian Li, Xing Yao, Zhongjie Zhang

Journal of System Simulation

Abstract: Trams need to brake frequently due to signal control and safety speed limits at intersections. Due to the inaccuracy of distance judgment, tram drivers tend to reserve extra braking distance at intersections, resulting in lower braking coefficients and a decrease in speed. An intersection braking guidance method using lineside signs is proposed for trams to reduce braking distance redundancy and improve running speed. Drivers are guided to brake with the shortest possible distance by marking the initial braking position and speed of trams with fixed lineside signs. A tram driving simulation system was developed based on a vehicle dynamics …

A Systematic Approach To Vehicle Suspension Modeling: Integrating Experimental Testing And Simulation-Based Validation, Naoufel Ghannami

Honors Theses

This thesis explores the dynamic behavior of suspension systems using a radio-controlled (RC) vehicle as the study unit. By combining experimental drop testing and the Mississippi State Autonomous Vehicle Simulator (MAVS), the research focuses on determining key suspension parameters, including the spring constant and damping coefficient, which define the stiffness and energy dissipation characteristics of the system. The RC vehicle's suspension system provided a controlled platform for studying these dynamics under both real-world and simulated conditions. Experimental drop testing involved capturing the vehicle's response to impact using an accelerometer, while MAVS simulations modeled a controlled compression and release of the …

School System And Student Performance: Examining Science And Mathematics Achievement In Pakistan, Sadia Muzaffar Bhutta, Sohail Ahmad, Aisha Naz Ansari

Institute for Educational Development, Karachi

Public and private school systems are the two largest providers of formal school education in Pakistan, differing significantly in their governance, resources, and practices. While previous studies showed differences in Student Learning Outcomes (SLOs), often favouring private schools, these comparisons remained largely descriptive. This paper compares elementary grade students’ performance in mathematics and science between public and private schools in Pakistan, accounting for factors such as grade level and geographical region. A cross-sectional survey was conducted with 15,391 students from grades 5, 6, and 8, selected through a multistage sampling technique from a total of­­ 153 public and private schools …