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Incorporating multilevel dynamic game and robust multi-objective optimization for cross-border river governance: A Lancang–Mekong case study

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Journal of Cleaner Production 2025年 513卷

作者： Yang, Ruijia Feng, Jingchun Tang, Jiansong Saga, Ryosuke Business School Hohai University Nanjing211100 China College of Computer Science and Software Engineering Hohai University Nanjing211100 China of Informatics Osaka Metropolitan University Osaka559-8531 Japan

Transboundary river governance faces increasingly complex economic, ecological, and political challenges, yet existing single-round approaches often fail to capture the dynamic negotiations and extreme uncertainty inherent in multi-country resource management. This paper proposes an integrated decision-making framework that couples a multilevel dynamic game with robust multi-objective optimization in the Lancang–Mekong River Basin, aiming to generate politically feasible and stable water-allocation strategies even under severe drought or market shocks. First, an initial robust optimization identifies a Pareto set balancing economic returns, equitable distribution, and ecological flow requirements. These solutions feed into a multi-round dynamic game model, which simulates strategic adjustments and compensation mechanisms among upstream and downstream countries. A subsequent second-stage optimization incorporates negotiation feedback to further improve both political acceptability and resilience. Results indicate that compensation incentives can effectively induce upstream stakeholders to increase critical dry-season releases by 5–10 %, thereby raising downstream ecological flow satisfaction by 10–15 percentage points and boosting agricultural production by up to 8–10 % under drought conditions. Sensitivity analyses confirm that multi-round game negotiations coupled with robust optimization maintain cooperation cohesion and risk tolerance under diverse hydro-economic scenarios. The findings underscore the utility of phased compensation, flexible reservoir releases, and multilateral funding to foster enduring cross-border cooperation in international river basins. © 2025 Elsevier Ltd

关键词： Risk perception

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Assessing the Maturity of Blockchain-based Supply Chain Management and Logistics: Comprehensive Examination of the Current Situation

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Procedia computer Science 2025年 253卷 2458-2467页

作者： Umut Şener Murat Tahir Çaldağ Ebru Gökalp Graduate School of Informatics Middle East Technical University Ankara Türkiye Department of Technology and Knowledge Management Baskent University Ankara Türkiye Department of Computer Engineering Hacettepe University Ankara Türkiye

Blockchain technology, a transformative force in digital transactions, has emerged as a significant enabler of secure, transparent, and traceable operations within supply chain management and logistics (SCML). Its immutable nature facilitates enhanced management of SCML activities by seamlessly integrating information flow throughout the value chain, and substantially increasing data integrity and operational reliability. While organizations are attracted to these capabilities, they still lack comprehensive guidelines to fully benefit from blockchain in SCML. There is a fundamental need to assist organizations in assessing and enhancing their blockchain-based SCML capabilities. Maturity models (MMs) are tools that help organizations assess and improve their processes, providing step-by-step guidelines from basic to advanced levels of maturity. Therefore, this study aims to identify and analyze MMs focused on blockchain-based SCML. An extensive systematic literature review (SLR) was conducted, and thirteen relevant studies were identified and evaluated against a comprehensive set of quality criteria. The analysis revealed that none of the existing MMs fully satisfied all criteria, highlighting a significant gap in the field. This research provides a thorough systematic analysis of MMs for blockchain-based SCML, offering an in-depth view of their levels, dimensions, research focuses, domains, industry targets, and their quality evaluation. The significance of this study lies in identifying the necessity for an MM specifically designed for blockchain-based SCML, addressing a critical gap in the current literature. These findings contribute to the growing body of knowledge on blockchain integration in SCML and provide a foundation for future research.

关键词： Blockchain Supply Chain Management Logistics Logistics 4.0 Maturity Model Assessment

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The Role of Digital Health Literacy and Socioeconomic Factors in Colorectal Cancer Screening: Machine Learning Analysis of HINTS Data

The Role of Digital Health Literacy and Socioeconomic Factor...

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18th International Joint Conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

作者： Kim, Sujin Dahal, Madhav Bhakta, Avinash Bae, Jihye Division of Biomedical Informatics University of Kentucky 725 Rose Street LexingtonKY United States Deptment of Electrical and Computer Engineering University of Kentucky 512 Administration Drive LexingtonKY United States Department of Surgery University of Kentucky 800 Rose Street LexingtonKY United States

While colorectal cancer (CRC) screening rates are on the rise, significant disparities persist, particularly among underserved populations, highlighting ongoing challenges in achieving equitable access to preventive care. This study utilizes machine learning models to analyze multi-year data from the Health Information National Trends Survey (HINTS), identifying critical factors influencing CRC screening adherence across three distinct time periods (2003–2008, 2011–2013, 2018–2020). Using Random Forest and Logistic Regression models, interpreted through Shapley Additive exPlanations values, we examine the impact of sociodemographic characteristics, digital health engagement, and digital literacy on CRC screening behaviors. Findings reveal that age, prior screening behavior, and digital literacy are key predictors;individuals with higher digital literacy, for example, exhibited a 22% higher likelihood of adhering to CRC screening guidelines. Age emerged as a dominant factor, with screening rates peaking at 43% in the 50–64 age group. These results suggest that interventions targeting digital health literacy and enhancing provider communication may effectively improve CRC screening rates among underserved populations. This study underscores the value of data-driven approaches in informing public health strategies to increase CRC screening adherence and reduce health disparities. © 2025 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Electronic health record

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Partition-Based Cache Replacement to Manage Shared L2 Caches

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Chinese Journal of Electronics 2025年第3期23卷 464-467页

作者： Juan Fang Jing Wang Chengyan Li Zhicheng Yao Weimao Ke College of Computer Science Beijing University of Technology Beijing China College of Information Engineering Capital Normal University Beijing China College of Computing and Informatics Drexel University Chapel Hill NC USA

The Least recently used (LRU) replacement has been widely employed by on-chip shared caches. With the increase of cache associativity, the performance gap between LRU and theoretical optimal re-placement algorithm is significant, motivating us to design alternative replacement algorithms to improve cache performance. We propose a Partition-based cache replacement (PCR) algorithm to manage multi-core shared L2 caches. PCR takes into consideration recency and frequency information of cache access, and cache resource interference among multiple competing applications. PCR is effective to filter out the less frequently reused blocks through a dynamic insertion/promotion policy based on the target partitions, and ensures that some fraction of the working set is retained in the cache to contribute to more hits. Our evaluation shows that PCR improves performance of an 8-core system by an average of 11.3% over LRU-based cache.

关键词： Power demand Multicore processing Heuristic algorithms Education Interference Filtering algorithms Information filters Partitioning algorithms System-on-chip

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Extremely Large Full Duplex MIMO for Simultaneous Downlink Communications and Monostatic Sensing at Sub-THz Frequencies

arXiv

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arXiv 2025年

作者： Alexandropoulos, George C. Gavras, Ioannis Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens16122 Greece Department of Electrical and Computer Engineering University of Illinois ChicagoIL60601 United States

The in-band Full Duplex (FD) technology is lately gaining attention as an enabler for the emerging paradigm of Integrated Sensing and Communications (ISAC), which envisions seamless integration of sensing mechanisms for unconnected entities into next generation wireless networks. In this paper, we present an FD Multiple-Input Multiple-Output (MIMO) system with extremely large antenna arrays at its transceiver module, which is optimized, considering two emerging analog beamforming architectures, for simultaneous DownLink (DL) communications and monostatic-type sensing intended at the sub-THz frequencies, with the latter operation relying on received reflections of the transmitted information-bearing signals. A novel optimization framework for the joint design of the analog and digital transmit beamforming, analog receive combining, and the digital canceler for the self-interference signal is devised with the objective to maximize the achievable DL rate, while meeting a predefined threshold for the position error bound for the unknown three-dimensional parameters of a passive target. Capitalizing on the distinctive features of the beamforming architectures with fully-connected networks of phase shifters and partially-connected arrays of metamaterials, two ISAC designs are presented. Our simulation results showcase the superiority of both proposed designs over state-of-the-art schemes, highlighting the role of various system parameters in the trade-off between the communication and sensing functionalities. © 2025, CC BY-NC-ND.

关键词： Metamaterial antennas

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Evaluating Beam Sweeping for AoA Estimation with an RIS Prototype: Indoor/Outdoor Field Trials

Evaluating Beam Sweeping for AoA Estimation with an RIS Prot...

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IEEE Conference on Wireless Communications and Networking

作者： Dimitris Vordonis Dimitris Kompostiotis Vassilis Paliouras George C. Alexandropoulos Florin Grec Electrical and Computer Engineering Department University of Patras Greece Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece European Space Agency (ESA) Noordwijk Netherlands

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Reconfigurable Intelligent Surfaces (RISs) have emerged as a promising technology to enhance wireless communication systems by enabling dynamic control over the propagation environment. However, practical experiments are crucial towards the validation of the theoretical potential of RISs while establishing their real-world applicability, especially since most studies rely on simplified models and lack comprehensive field trials. In this paper, we present an efficient method for configuring a 1-bit RIS prototype at sub-6 GHz, resulting in a codebook oriented for beam sweeping; an essential protocol for initial access and Angle of Arrival (AoA) estimation. The measured radiation patterns of the RIS validate the theoretical model, demonstrating consistency between the experimental results and the predicted beamforming behavior. Furthermore, we experimentally prove that RIS can alter channel properties and by harnessing the diversity it provides, we evaluate beam sweeping as an AoA estimation technique. Finally, we investigate the frequency selectivity of the RIS and propose an approach to address indoor challenges by leveraging the geometry of environment.

关键词： Geometry Wireless communication Protocols Prototypes Reconfigurable intelligent surfaces Size measurement Real-time systems Gain Wideband Antenna radiation patterns

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SIGCSE Reads 2025: Community Connections through Fiction 2025

SIGCSE Reads 2025: Community Connections through Fiction

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Proceedings of the 56th ACM Technical Symposium on computer Science Education V. 2

作者： Rebecca Bates Judy Goldsmith Valerie Summet Nanette Veilleux Integrated Engineering Minnesota State University Mankato Mankato MN USA Computer Science University of Kentucky Lexington KY USA Mathematics and Computer Science Rollins University Winter Park FL USA Computer Science and Informatics Simmons College Boston MA USA

ISBN: (纸本)9798400705328

Have you read any of the common reads for SIGCSE 2025? Now's your chance to talk about them (or other science fiction)! Our novel selection, Light from Uncommon Stars, by Ryka Aoki (https://***/books/9781250789075/lightfromuncommonstars), and a short story with a long title by Pittsburgh author Timons Esaias, "Excerpts from the Text of an Explanatory Stele Erected for our Edification by the Scholars of the Outer Orion Tendril" (https://***/esaias0921/) will be featured, but we welcome all book discussion. If you're interested in books, whether on a personal, academic, or pedagogical level, come join us in this BoF and discuss one or more of the books and short story. We'll provide potential topics and discussion questions targeting how to incorporate these books into a CS course, but the discussion will be open. The BoF will close with a discussion of potential books and stories for the 2026 conference.

关键词： broadening participation

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Supervised methods of machine learning for email classification: a literature survey

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Systems Science and Control engineering 2025年第1期13卷

作者： AlShaikh, Muath Alrajeh, Yasser Alamri, Sultan Melhem, Suhib Abu-Khadrah, Ahmed Cybersecurity Department College of Engineering Al Ain University Abu Dhabi United Arab Emirates Department of Computer Science College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia Department of Electrical Engineering Al-Balqa Applied University Faculty of Engineering As-Salt Jordan

In today’s digital landscape, email is acknowledged as a critical conduit for global data exchanges. With a surge in data volume, malefactors exploit user identities, leading to data misuse. Cybercriminals employ electronic transgressions such as phishing and spam to orchestrate security infractions. Machine learning counters these breaches using myriad techniques, demonstrating significant efficiency in identifying phishing emails. We can divide machine learning into two types: supervised and unsupervised. Supervised learning requires pre-training the model on labelled datasets, amalgamating classification, and regression learning. Notably, supervised methodologies such as support vector machines (SVMs), naive Bayes, decision trees, neural networks, random forests, and deep learning have been exploited for spam filtering. This review delves into issues concerning spam filtering and email classification through supervised machine learning techniques, offering a comprehensive evaluation of strategies, methods, performance indicators, and the benefits and drawbacks of different research. This information allows researchers to assess the efficiency and effectiveness of supervised learning algorithms, laying the foundation for advanced email categorization techniques. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Support vector regression

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Near-Field Localization with Dynamic Metasurface Antennas at THz: A CRB Minimizing Approach

arXiv

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arXiv 2025年

作者： Gavras, Ioannis Alexandropoulos, George C. Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens16122 Greece Department of Electrical and Computer Engineering University of Illinois ChicagoIL60601 United States

The recent trend for extremely massive antenna arrays and high frequencies facilitates localization and sensing, offering increased angular and range resolution. In this letter, we focus on the emerging technology of Dynamic Metasurface Antennas (DMAs) and present a novel framework for the design of their analog beamforming weights, targeting high accuracy near-field localization at the THz frequency band. We derive the Cramér-Rao Bound (CRB) for the estimation of the positions of multiple users with a DMA-based receiver, which is then utilized as the optimization objective for the receiver’s discrete tunable states of its metamaterials. Leveraging the DMA structure, we reformulate the localization objective into a constrained Rayleigh quotient maximization problem, which is efficiently solved via two schemes: one based on projection and a greedy one. Our simulation results verify the validity of our near-field localization analysis, showcasing the effectiveness of the proposed near-field localization designs over the optimum exhaustive search solution and state-of-the-art schemes. © 2025, CC BY-NC-ND.

关键词： Cramer-Rao bounds

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Optimizing symbol visibility through displacement

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Applied Mathematics and Computation 2025年 505卷

作者： Gärtner, Bernd Kalani, Vishwas M. Reddy, Meghana Meulemans, Wouter Speckmann, Bettina Stojaković, Miloš Department of Computer Science ETH Zürich Switzerland Department of Computer Science and Engineering I.I.T. Delhi India Department of Mathematics and Computer Science TU Eindhoven Netherlands Department of Mathematics and Informatics Faculty of Sciences University of Novi Sad Serbia

In information visualization, the position of symbols often encodes associated data values. When visualizing data elements with both a numerical and a categorical dimension, positioning in the categorical axis admits some flexibility. This flexibility can be exploited to reduce symbol overlap, and thereby increase legibility. In this paper, we initialize the algorithmic study of optimizing symbol legibility via a limited displacement of the symbols. Specifically, we consider closed unit square symbols that need to be placed at specified y-coordinates. We optimize the drawing order of the symbols as well as their x-displacement, constrained within a rectangular container, to maximize the minimum visible perimeter over all squares. If the container has width and height at most 2, there is a point that stabs all squares. In this case, we prove that a staircase layout is arbitrarily close to optimality and can be computed in O(nlog⁡n) time. If the width is at most 2, there is a vertical line that stabs all squares, and in this case, we design a 2-approximation algorithm (assuming fixed container height) that runs in O(nlog⁡n) time. As it turns out that a minimum visible perimeter of 2 is always achievable with a generic construction, we measure this approximation with respect to the visible perimeter exceeding 2. We show that, despite its simplicity, the algorithm gives asymptotically optimal results for certain instances. © 2025 Elsevier Inc.

关键词： Approximation algorithms

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