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Full-Text Articles in Entire DC Network
Twenty Years Of International Society For Digital Earth: Review And Prospect, Huadong Guo, Zhen Liu, Changlin Wang
Twenty Years Of International Society For Digital Earth: Review And Prospect, Huadong Guo, Zhen Liu, Changlin Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The International Society for Digital Earth (ISDE) was inaugurated in 2004. On the occasion of the 20th anniversary of its establishment, it is of great significance to review and look forward to the global development of Digital Earth. China has made active efforts and achieved remarkable results in using Digital Earth technology to address global challenges. Initiated by the Chinese Academy of Sciences (CAS), ISDE and its Chinese National Committee (CNISDE) were officially established. ISDE has been playing a crucial role in leading the global development of Digital Earth by organizing international academic conferences, publishing world-class academic publications, and fostering …
A Threat Assessment Method In Uncertain Dynamic Environments, Mei Yang, Bingkun Wang, Zhongjie Zhang, Yan Zeng, Jian Huang
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
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
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 Multi-Objective Gait Planning Of Biped Robot Based On Virtual Prototype, Yankai Zhang, Xuesong Wang, Yubin Jin, Dongsheng Zhang
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 …
Hitting The Brakes: State Policies Encouraging Car Use In Pennsylvania Violate The State's Environmental Rights Amendment, Nicole Karem
Hitting The Brakes: State Policies Encouraging Car Use In Pennsylvania Violate The State's Environmental Rights Amendment, Nicole Karem
Seattle Journal of Technology, Environmental, & Innovation Law
No abstract provided.
Don't Forget To Water The Plants: Crafting A Sustainable Framework For Space Launches Under The Inflation Reduction Act, Wyatt Modracek
Don't Forget To Water The Plants: Crafting A Sustainable Framework For Space Launches Under The Inflation Reduction Act, Wyatt Modracek
Seattle Journal of Technology, Environmental, & Innovation Law
The Inflation Reduction Act (IRA) makes great strides toward limiting the consumption of fossil fuels through the incentivization of research and development of sustainable aviation fuel. However, the IRA serves as a reactive measure to the problem of air pollution while missing an opportunity to curtail another coming issue of pollution: space launches. While not as pervasive as commercial air travel, space launches and outer space as a whole are becoming a billion-dollar market with space mining, astro-tourism, and interplanetary travel. The rate of launches has no sign of slowing down, and rather than wait to pass a reactive measure …
The Lived Experiences Of Female Undergraduates At A Private University Regarding Foodways And Wellness: An Interpretive Phenomenological Analysis, Kelly Green Kearns
The Lived Experiences Of Female Undergraduates At A Private University Regarding Foodways And Wellness: An Interpretive Phenomenological Analysis, Kelly Green Kearns
Dissertations - ALL
This dissertation study outlines the topic of food and wellness for female undergraduate college students at a private university in the northeastern US. An extensive literature review on the topic of human interactions with food and wellness as well as the potential impact on female undergraduate students is provided, followed by a proposed qualitative study. This dissertation describes the qualitative method of Interpretive Phenomenological Analysis (IPA) using semi-structured interviews and member-checking meetings to learn about the experiences of eight female undergraduate students at a private university’s experiences with food, eating, sourcing, cooking, and sharing and how these behaviors impact and …
Perceptions Of Communication And Collaboration Between Special Education And Career And Technical Education Teachers, Alexander Novickoff
Perceptions Of Communication And Collaboration Between Special Education And Career And Technical Education Teachers, Alexander Novickoff
Electronic Theses and Dissertations
This dissertation explores the communication and collaboration between Local Education Agency’s (LEA) special education staff and Career and Technical Center (CTC) staff in supporting students with disabilities (SWD). Given the critical role of effective interagency communication in providing comprehensive support to SWD, this study seeks to identify the perceptions, methods, and frequencies of communication between these entities. The research is set within the context of non-comprehensive CTCs in Pennsylvania, where students split their time between their home schools and regional CTCs. Through a quantitative approach, consisting of a detailed survey distributed to both LEA and CTC staff, this study examines …
Interactions Of The Sars-Cov-2 Viral Genome 3’-Untranslated Region With Viral And Host Rnas, Caleb Frye, Mihaela Rita Mihailescu
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 …
Sloshing Analysis Of An Isothermal Fluid In A Cylindrical Tank For Cryogenic Tank Design Using Smoothed Particle Hydrodynamics, Dillon Freeman
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 …
Capacity Of Self Compact Concrete Walls Using Attapulgite As A Partial Replacement Of Cement Under One Way And Two Way Action Restriction, Wissam Kadhim Alsaraj, Luma Abdul Ghani Zghair, Akhlas Hashem Mohammed
Capacity Of Self Compact Concrete Walls Using Attapulgite As A Partial Replacement Of Cement Under One Way And Two Way Action Restriction, Wissam Kadhim Alsaraj, Luma Abdul Ghani Zghair, Akhlas Hashem Mohammed
Al-Esraa University College Journal for Engineering Sciences
This investigation about the structural performance of sustainable self-compact concrete walls exposed to eccentric axial regularly dispersed loading, including the effect of aspect ratio (AR) and slenderness ratio (λ) by one-way and two-way action. The experimental program includes testing ten wall panels, the eccentricity of the loading system equivalent to one-sixth of depth. These wall panels are separated into four groups, each one consisting of three specimens. first and second groups clarify the aspect ratio (H/L) effect. The results indicated for decreasing AR from (0.75 to 0.625), (0.625 to 0.5), and (0.75 to 0.5), the increase of final load is …
Exploring The Benefits Of Feature Selection Based On Bat Algorithm And Deep Learning In Brain Cancer Diagnosis, Noor Fawzi Shafiq
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 …
Unveiling The Hidden Threat: How Wireless Networks Fuel Serious Cyber Attacks, Ibtesam Jomaa Hawi
Unveiling The Hidden Threat: How Wireless Networks Fuel Serious Cyber Attacks, Ibtesam Jomaa Hawi
Al-Esraa University College Journal for Engineering Sciences
The spread of wireless networks has led to an increase in serious cyber attacks due to their weak architecture. This article focuses on reevaluating cybersecurity in wireless network technology by integrating statistical information detection methods and artificial intelligence (AI) algorithms. To construct a wireless networking scenario that accurately reflects real-life conditions, we created a data fabrication that included four pre-existing anomalies as well as four newly introduced anomalies. The synthetic dataset created from these generation processes contains 20 thousand distinguishable values, which are later divided into training and validation sets. Using the strategy described before, we began to analyze the …
Toward Effective Interfaith Relations Between Christianity And Indigenous African Religious Tradition In The Obolo Context In Nigeria – A Decolonial Theological Approach, Jerome Etenduk
Electronic Theses and Dissertations
This study focuses on the need for effective interfaith relations between Christianity and the Indigenous African Religious Tradition (IART) in a post-colonial Obolo context in Nigeria. It explores a history of complex religious crises in Obolo and identifies that Eurocentric/colonial theological imagination constitutes a significant reason for the problematic interfaith relations in Obolo. The dominant Eurocentric/colonial theology is founded on the theoretical framework that assumes that Europe (and America) is the hubris of knowledge. It negates and discounts the knowledge systems of other people. To know, they must learn from Europe and America. In this way, European missionaries to Obolo …
A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson
A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson
Theses and Dissertations
Additive manufacturing (AM) continues to offer new possibilities in both production and economics. Various industries have quickly adopted AM to rapidly produce parts that would be difficult or cost prohibitive otherwise. Despite ongoing innovations that expand the technology's capabilities, significant limitations persist. Most AM processes are restricted by materials available, an inability to produce large parts, or by not achieving material deposition speeds and volumes to allow for certain products feasible. In addition, tight tolerances for features and surfaces cannot be produced without substantial post processing. Some of the post-processing techniques can even affect the material properties of the finished …
Effects Of Active Learning In Physics Experiments On Academic Achievement, Attitudes And Concepts Among Grade-11 Students, Kittikhun Seawsakul
Effects Of Active Learning In Physics Experiments On Academic Achievement, Attitudes And Concepts Among Grade-11 Students, Kittikhun Seawsakul
Journal of Education Studies
One of the problems in learning physics is students’ attitudes. Most students think that physics is difficult to learn and to understand. This causes students' motivation and attitudes of curiosity towards the physics subject to decrease. The objectives of this work were to investigate students' attitudes towards physics and physics concepts, as well as to compare the academic achievement of the sample group before and after studying the lessons based on active learning through physics experiments. The sample group in this study consisted of 31 Grade 11 students, and data collection was conducted over the course of one semester. Data …
Reform Of Laboratory Courses Teaching In Higher Education To Enhance Sustainability In The Post Covid-19 Era, Bin Zhu, Simin Xing
Reform Of Laboratory Courses Teaching In Higher Education To Enhance Sustainability In The Post Covid-19 Era, Bin Zhu, Simin Xing
Journal of Education Studies
The COVID-19 pandemic has brought many difficulties and challenges to laboratory courses, but also promoted the development and prosperity of various teaching methods and made the position of laboratory instruction in higher education contemplated deeply. On the other hand, the monotonous and constant teaching materials and the formalized and theorized examination form have resulted in students' inertia and perfunctory attitude toward the experiment learning. Facing unpredictable futures and students' indifferent mentality, we urgently need to redesign the curriculum to enhance flexibility and resilience, meanwhile, ameliorate educational achievements. It is an important guiding principle of curriculum design to utilize diversified teaching …
Design And Exploration Of Virtual Multi-Scene Classroom Based On Xr Technology, He Shuang
Design And Exploration Of Virtual Multi-Scene Classroom Based On Xr Technology, He Shuang
Journal of Education Studies
With the advent of the global post-epidemic era, the online and offline hybrid teaching mode and virtual learning environment will become the development trend of curriculum teaching and future teaching space. This virtual reality technology has many application cases in the design and business fields, which shows that the multi-scene application based on XR virtual technology is relatively mature and feasible. This study designs experiments for the on-spot teaching space that integrates virtual and reality. The author conducts multi-scene design simulation through the 3D multi-scene software, with the construction of the physical environment, and the recording and tracking of offline …
Effects Of Organizing Mathematics Learning Activity Using Ill-Structured Problem Solving Process And Scaffolding Strategy On Mathematical Reasoning Ability And Attitude Towards Mathematics Of Ninth Grade Students, Apisara Chanhom, Jongkol Thamsuan
Effects Of Organizing Mathematics Learning Activity Using Ill-Structured Problem Solving Process And Scaffolding Strategy On Mathematical Reasoning Ability And Attitude Towards Mathematics Of Ninth Grade Students, Apisara Chanhom, Jongkol Thamsuan
Journal of Education Studies
The purposes of this research were 1) to compare the mathematical reasoning ability of students before and after engaging in organized mathematics learning activities using an ill-structured problem-solving process combined with scaffolding, and 2) to compare the attitudes towards mathematics of students before and after participating in organized mathematics learning activities using an ill-structured problem solving process combined with scaffolding. The sample group consisted of 30 ninth grade students under the Secondary Educational Service Area Office Bangkok 2, selected through purposive sampling. The tools used for the experiment included mathematics lesson plans using the ill-structured problem-solving process combined with scaffolding. …
A Study On Improving The Accuracy And Effectiveness Of Similarity Detection Processes In Text Files Using Nlp Techniques, Noor Abdulmuttaleb Jaafar
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
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 …
Advancing Healthcare Through The Integration Of Digital Twins Technology: Personalized Medicine’S Next Frontier, Sharmin Attaran, Mohsen Attaran
Advancing Healthcare Through The Integration Of Digital Twins Technology: Personalized Medicine’S Next Frontier, Sharmin Attaran, Mohsen Attaran
Marketing Department Faculty Journal Articles
The use of Digital Twin technology has been expanding rapidly, and projections indicate that it will continue to proliferate across various applications, use cases, and industries, including healthcare. In recent years, the healthcare sector has seen an acceleration in digital transformation. This fast-paced change offers both opportunities and risks, especially with emerging technologies like digital twins, which are relatively untested and still in the early stages of adoption in medical care. This paper aims to conduct a literature review to explore how digital twins facilitate intelligent automation in healthcare. It defines the concept, traces the technology’s evolution and development, reviews …
Fail-Safe Logic Design Strategies Within Modern Fpga Architectures, Priya A. Bhakta
Fail-Safe Logic Design Strategies Within Modern Fpga Architectures, Priya A. Bhakta
Electrical and Computer Engineering ETDs
Field Programmable Gate Arrays (FPGAs) are vulnerable to radiation-induced single event upsets (SEUs) and fault injection attacks, requiring the use of redundancy techniques such as fail-safe computing. Fail-safe computing refers to computing systems that revert to a non-operational safe state when a fault occurs. This work investigates circuit-level techniques and implements fail-safe computing processes as mitigation for SEUs and fault injection attacks on FPGAs. The analysis reveals vulnerabilities that exist in FPGAs over those in application-specific integrated circuits (ASIC); thus, requiring a more elaborate network of redundant circuits and checking logic. The reconfiguration capability of FPGAs adds complexity to fail-safe …
Data-Driven Mechanism Design: Jointly Eliciting Preferences And Information, Dirk Bergemann, Marek Bojko, Paul Dütting, Renato Paes Leme, Haifeng Xu, Song Zuo
Data-Driven Mechanism Design: Jointly Eliciting Preferences And Information, Dirk Bergemann, Marek Bojko, Paul Dütting, Renato Paes Leme, Haifeng Xu, Song Zuo
Cowles Foundation Discussion Papers
We study mechanism design when agents hold private information about both their preferences and a common payoff-relevant state. We show that standard message-driven mechanisms cannot implement socially efficient allocations when agents have multidimensional types, even under favorable conditions. To overcome this limitation, we propose data-driven mechanisms that leverage additional post-allocation information, modeled as an estimator of the pay-off relevant state. Our data-driven mechanisms extend the classic Vickrey-Clarke-Groves class. We show that they achieve exact implementation in posterior equilibrium when the state is either fully revealed or the utility is linear in an unbiased estimator. We also show that they achieve …
An Optimization Framework For Data Enrichment: A First Principles Approach To Designing Optimal Smoothers And Splines, Griffin Michael Kearney
An Optimization Framework For Data Enrichment: A First Principles Approach To Designing Optimal Smoothers And Splines, Griffin Michael Kearney
Dissertations - ALL
We develop a general framework for state estimation in systems modeled with stochastic dynamics and noisy measurements. Our approach is based on maximum likelihood estimation and employs a variety of techniques from optimization theory including the calculus of variations and discrete optimization to derive optimality conditions for many different types of problems. We make no rigid assumptions on the form of the mapping from measurements to state-estimate or on the distributions of the random processes, making the framework more general than existing techniques such as splines, Kalman smoothing or Gaussian Process Regressions, which are subject to limiting restrictions and modeling …
On Physical Processes That Work Like Learning Algorithms, Vidyesh Rao Anisetti
On Physical Processes That Work Like Learning Algorithms, Vidyesh Rao Anisetti
Dissertations - ALL
Adaptive behavior is a widespread phenomenon observed in both living and non-living systems, manifesting in diverse forms such as the directional growth of plants in response to sunlight and the directed aging of materials. Such diversity demands a physics-based approach. Thus, the emerging field of physical learning aims to explain these phenomena by drawing analogies between adaptive processes in nature and learning in neural networks, motivating the central question of this thesis: Can physical processes in nature function like learning algorithms? A typical learning algorithm involves two fundamental steps: signaling and weight up- dating. In the Part I of the …
Modeling And Algorithms To Simplify Complex Multi-Clock/Edge Timing Constraints In High Performance Synchronous Digital Circuits, Nagbhushan Veerapaneni
Modeling And Algorithms To Simplify Complex Multi-Clock/Edge Timing Constraints In High Performance Synchronous Digital Circuits, Nagbhushan Veerapaneni
Dissertations - ALL
Complex timing constraints that refer to multiple clocks and/or edges are often used in the design of modern high-performance processors. Such constraints complicate downstream algorithms such as logic synthesis and lead to inefficiencies. The complexity of the overall CAD system can be reduced considerably if we can optimally transform the timing constraints so that they refer only to a single clock and edge. In this dissertation, we show how to model these multi clock/edge timing constraints and describe algorithms to reduce the number of reference clocks/edges. We first introduce the concept of timing specification transformation and define optimality. We formulate …
Enhancing Graph Neural Networks By Editing Graphs, Jiayu Li
Enhancing Graph Neural Networks By Editing Graphs, Jiayu Li
Dissertations - ALL
Graphs are pervasive in both the natural world and various domains of science and engineering. Numerous advanced classifiers, such as Graph Neural Networks (GNNs), have been developed to perform node classification on these graphs. However, as graphs become denser with an increasing number of edges, GNNs often suffer from suboptimal generalization performance due to the presence of task-irrelevant connections. These redundant connections can introduce noise, consume excessive computational resources, and degrade performance. Identifying and preserving critical connections in large-scale graphs, while pruning unnecessary ones, is crucial for enhancing the efficiency and accuracy of GNNs in node classification, particularly for GCNs. …