A secure double spectrum auction scheme by Jiaqi Wang, Ning Lu, Ziyang Gong, Wenbo Shi, Chang Choi

“…Spectrum auctions came into being, which can effectively utilize spectrum resources. Because of the complexity of the electronic spectrum auction network environment, the security of spectrum auction can not be guaranteed. …”
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Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths by Mohamed M. Fathi, Md Abdullah Al Mehedi, Virginia Smith, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry

“…Deep-learning applications have recently shown promise for runoff predictions; however, they usually require longer input data sequences, especially for high-temporal resolution simulations, thus leading to increased model complexity. To address these challenges, this study evaluates the robustness of two novel approaches using Long Short-Term Memory (LSTM) models. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…However, due to the different shapes and sizes of ships, as well as the complexity and fluctuation of lighting and weather, existing ship instance segmentation approaches frequently struggle to accomplish correct contour segmentation. …”
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Evaluating Thermal Insulation Strategies for High-Rise Residential Buildings in Sarajevo by Florian Teichmann, Azra Korjenic, Lamija Balić, Mirela Idrizović, Aldin Turković, Amir Ljubijankić, Venera Simonović, Sanela Klarić

“…To maximize energy savings and ensure sustainable urban housing, stronger interdisciplinary collaboration, improved funding mechanisms, and adherence to fire-safety standards are necessary. …”
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Energy Efficient Multi-Active/Multi-Passive Antenna Arrays for Portable Access Points by Muhammad Haroon Tariq, Shuai Zhang, Christos Masouros, Constantinos B. Papadias

“…The MAMP is designed based on radiation conditions which were produced during the research to ensure that the radiation properties of the array were good.…”
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Transmitting Double-D Coil to Wirelessly Recharge the Battery of a Drone with a Receiving Coil Integrated in the Landing Gear by Wassim Boumerdassi, Tommaso Campi, Silvano Cruciani, Francesca Maradei, Mauro Feliziani

“…Consequently, the design reduces overall weight and system complexity while minimizing potential destabilization of the drone’s flight dynamics. …”
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Assessing the need for general anesthesia versus inhalational sedation using modified mohan scale in pediatric dental patients by Sriram Swetha, Bagmar R. Mehul, Jayakumar Priya

“…Background: Effective behavior management is vital in pediatric dentistry to ensure positive treatment in uncooperative children. …”
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Hepatic gluconeogenesis and regulatory mechanisms in lactating ruminants: A literature review by Guoyan Wang, Yuanyuan Zhu, Dingping Feng, Junhu Yao, Yangchun Cao, Lu Deng

“…Abstract The conversion of various non‐sugar substances, such as propionate and lactate, produced by rumen microbial fermentation into glucose by hepatic gluconeogenesis is the main way to ensure an adequate supply of glucose to the mammary gland of ruminants. …”
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Developments and clinical experiences in collagenase chemonucleolysis for lumbar disc herniation: a narrative review by Hao Zhang, Chi Zhang, Lin Li, Ming-liang Hu, Jian-ning Zhao, Zhang Zheng, Wen-feng Ding

“…While chemonucleolysis offers advantages such as minimal invasiveness and cost-effectiveness, its complexity necessitates a multidisciplinary approach. …”
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Algorithms for online fault tolerance server consolidation by Boyu Li, Bin Wu, Meng Shen, Hao Peng, Weisheng Li, Hong Zhang, Jie Gan, Zhihong Tian, Guangquan Xu

“…We study a novel replication mechanism to ensure service continuity against multiple simultaneous server failures. …”
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Prediction of regional water resources carrying capacity based on stochastic simulation: A case study of Beijing-Tianjin-Hebei Urban Agglomeration by Wentao Xu, Junliang Jin, Jianyun Zhang, Shanshui Yuan, Ming Tang, Yanli Liu, Tiesheng Guan

“…Traditional prediction methods obtained a definite WRCC value but fail to reflect the uncertainty of WRCC changes and limit reference for the optimal allocation of water resources. To ensure the accuracy, availability and comprehensiveness of prediction, this paper adopts the improved principal component analysis (PCA) to screen indicators, and predicts the WRCC through the coupled model of Monte Carlo and Grey Wolf Optimization-Support Vector Machine(GWO-SVM), addressing single result issues and computational complexity. …”
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Exploring the impact of an electronic health record implementation on user experiences across clinical programmes in a large Canadian community hospital: a qualitative study by Walter P Wodchis, Shelley Vanderhout, Kerry Kuluski, Terence Tang, Lucas Seuren, Jason X Nie, Elizabeth Mansfield, Chris Hayes, Robert Reid, Shipra Taneja, Christine L Heidebrecht, Rujuta Giri

“…Customising the system interface and iteratively codesigning how health system staff incorporate the technology into their workflows are crucial to ensure an EHR seamlessly integrates across different settings, fosters high-quality care delivery and minimises user friction.…”
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Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system by Kai Janning, Abdalsalam Housin, Christopher Schulte, Frederik Erkens, Luca Frenken, Laura Herbst, Bastian Nießing, Robert H. Schmitt, Robert H. Schmitt

“…The focus is on the development of a motion planning algorithm and its validation in dynamic environments, which are becoming increasingly relevant in modern adaptive production sites.ResultsOn the MAS demonstrator with four active agents, ten different scenarios were created with varying degrees of complexity in terms of route planning. In addition, external disturbances that hinder the execution of the paths were simulated. …”
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Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models by Dimitrios K. Nasiopoulos, Konstantinos I. Roumeliotis, Damianos P. Sakas, Kanellos Toudas, Panagiotis Reklitis

“…While somewhat effective, these conventional approaches often struggled to capture the complexity and nuance of financial language. Recent advancements in deep learning, particularly transformer-based models like GPT and BERT, have significantly enhanced sentiment analysis by capturing intricate linguistic patterns. …”
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Predictive optimization using long short-term memory for solar PV and EV integration in relatively cold climate energy systems with a regional case study by Tao Hai, Ali B. M. Ali, Diwakar Agarwal, Ankit Punia, Megha Jagga, Ali E. Anqi, M. Ahmedi, Husam Rajab, Narinderjit Singh Sawaran Singh, Mohammad Taghavi

“…The study emphasizes the need for innovative approaches to address these complexities and ensure consistent energy performance in dynamic conditions. …”
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Teaching methods, facilities, and institutions in student ultrasound education (SUSE): e-learning, simulation, and ultrasound skills labs by Daum Nils, Schwanemann Jannis, Blaivas Michael, Prats Michael Ignacio, Hari Roman, Hoffmann Beatrice, Jenssen Christian, Krutz Alexander, Lucius Claudia, Neubauer Ricarda, Recker Florian, Sirli Roxana, Westerway Susan Cambell, Zervides Constantinos, Nürnberg Dieter, Barth Gregor, Nourkami-Tutdibi Nasenien, Dietrich Christoph Frank

“…However, simulation equipment's high cost and technical complexity strain budgets and require specialized staff and training. …”
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Conduction defects and arrhythmias in mdx mice are not associated with a degeneration of the cardiac Purkinje network by Juliette Vahdat, Jakob Sauer, Jessica Marksteiner, Karlheinz Hilber, Lucile Miquerol

“…At baseline, only mdx mice presented premature ventricular complexes (PVC), and a greater prevalence of PVC was observed after β-adrenergic stimulation in these mice. …”
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HyperTransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Hyperspectral Image Classification by Xin Dai, Zexi Li, Lin Li, Shuihua Xue, Xiaohui Huang, Xiaofei Yang

“…However, existing fusion approaches face three critical challenges: (1) insufficient synergy between spectral and spatial feature learning due to rigid coupling mechanisms; (2) high computational complexity resulting from redundant attention calculations; and (3) limited adaptability to spectral redundancy and noise in small-sample scenarios. …”
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High Genetic Diversity Among <i>Bacillus cereus</i> Isolates Contaminating Donated Milk at a Canadian Human Milk Bank by Mathew Gene, Jennifer L. Guthrie, Kevin Li, Sarah Teatero, Aimee Paterson, Angel Li, Alain Doyen, Deborah Yamamura, Sarah Khan, Jocelyn A. Srigley, Debbie Stone, Deborah L. O’Connor, Susan Poutanen, Sharon Unger, Allison McGeer, Nahuel Fittipaldi

“…Our findings emphasize that while genomic analyses offer major valuable insights, they alone are insufficient to address the complexities of <i>B. cereus</i> contamination in HMBs. …”
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Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management by Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila M. Saporetti, L. Goliatt

“…Furthermore, the model presented less complexity in the generated expressions. The results suggest that the EPEFS model holds promise as a robust and interpretable tool for drought forecasting, with potential applications in early warning systems and mitigation strategies.…”
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