FEBE-Net: Feature Exploration Attention and Boundary Enhancement Refinement Transformer Network for Bladder Tumor Segmentation by Chao Nie, Chao Xu, Zhengping Li

“…At present, existing Transformer-based methods have limited ability to restore local detail features and insufficient boundary segmentation capabilities. …”
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Research progress and prospects of virus-like particles in tumor therapy by LIU Chun, CHEN Guoxin, LI Mengtian, ZHAO Yu, MA Zhongren, ZHANG Haixia

“…In recent years, the efficient delivery of gene editing tools using VLPs has provided new possibilities for tumor treatment. …”
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Automatic Identification Model for Landslide Disaster Using Remote Sensing Images Based on Improved Multiresunet by Zhenyu Zhao, Shucheng Tan, Qinghua Zhang, Hui Chen

“…Additionally, the Canny operator is employed to design a lightweight boundary-focused attention (BFA) mechanism, enhancing the model’s ability to emphasize landslide edge features. Furthermore, a new hybrid loss function, adaptive focal and Dice loss (AFD loss), is introduced through the adaptive AdaLoss algorithm by combining focal loss and Dice loss, improving the model’s ability to handle unbalanced samples. …”
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Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing by Amina Belalia, Kamel Belloulata, Adil Redaoui

“…In recent years, deep-network-based hashing has gained prominence in image retrieval for its ability to generate compact and efficient binary representations. …”
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Post-Quantum enhanced Ascon for secure vehicular IoT data integrity by Bhuvaneshwari A. J, Kaythry P., Kishore R., MuthuHarish R

“…However, the vehicular networks are exposed to increased risks from cyberattacks, particularly from incoming quantum computers with the ability to interpret out-of-date conventional codes. …”
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Image-Based Iron Slag Segmentation via Graph Convolutional Networks by Wang Long, Zheng Junfeng, Yu Hong, Ding Meng, Li Jiangyun

“…This work focuses on realizing an efficient and accurate recognition algorithm of iron and slag, which is conducive to realize automatic slagging-off operation. …”
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Experimental and Numerical Investigations of the Hydraulic Characteristics of the Makhool Dam in Iraq: A Review by Fatima Ali Sadiq, Haitham Alaa Hussein, Mohd Remy Rozainy Mohd Arif Zainol

“…This research has also reviewed previous research on CFD software and their ability to simulate previously constructed or under-construction dams to analysis of its hydraulic properties. …”
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Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems by Habib Benbouhenni, Nicu Bizon, Mourad Yessef, Z. M. S. Elbarbary, Ilhami Colak, Badre Bossoufi, Abdulrahmane Al Ayidh

“…Therefore, this experimental work presents a simple and efficient solution that uses a proportional-integral regulator based on a genetic algorithm to regulate the power quality. …”
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CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis by Phi Bya, Duy Tran, Khoi Nguyen, Sorin Draghici, Tin Nguyen

“…Abstract Single-cell technologies have revolutionized our ability to study cellular heterogeneity and dynamics at unprecedented resolutions. …”
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ESO-Based Non-Singular Terminal Filtered Integral Sliding Mode Backstepping Control for Unmanned Surface Vessels by Jianping Yuan, Zhuohui Chai, Qingdong Chen, Zhihui Dong, Lei Wan

“…Theoretical analysis and simulation results demonstrate that the proposed control algorithm improves the convergence speed, adaptive ability, and anti-interference ability in complex environments compared to traditional linear backstepping sliding mode control, thereby enhancing its engineering practicability. …”
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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. AI algorithms, known for their cognitive ability and capacity to learn, adapt, and make decisions, are employed to analyze and forecast student performance, thereby improving educational quality and outcomes. …”
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Characteristics of drug demand reduction structures in Britain and Iran by Hooman Narenjiha, Roya Noori, Maziyar Ghiabi, Hamid-Reza Khoddami-Vishteh

“…</p><p>In total, 17 features of efficient structure were obtained as follow: multi-institutional nature, collaborative inter-institutional activities, clear and relevant inter-institutional and intra-institutional job description, the ability to share the experiences, virtual institutions activity, community-based associations activity, mutual relationships, the existence of feedback sys-tems, evaluation, changeability, the ability to collect data rapidly, being rooted in community, flexibility at the local and regional levels, connection with research centers, updated policymaking, empowering the local level, and seeking the maximum benefit and the minimum resources. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Among the seven comparison models, U-Net-FML has the strongest overall performance, highlighting its engineering value for precise detection and efficient analysis of cracks.…”
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CALPHAD-enabled design of metallic glasses with target properties: Gold-based glass for jewellery by Owain S. Houghton, Yurii P. Ivanov, Nikolaos T. Panagiotopoulos, A. Lindsay Greer

“…A systematic composition-screening method is proposed that is fast and efficient in reducing the vast number of alloy systems to a few that merit detailed study. …”
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Public Debt and Low Interest Rates: Evidence from the Case of Morocco by Hassane Eddassi

“…The accumulation of high levels of public debt impacts the fiscal equilibrium in countries and affects the ability of the government to meet its responsibilities. …”
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Study on the Effectiveness of Slow-Release Fertilizer Combining Maggot waste and Azospirillum brasilense on the Growth of Choy Sum (Brassica rapa var. parachinensis) by Alvin Bowen Wijaya, Achmad Fauzi Kusuma, Clive Nathan Pangestu, Vincenzio Jocelino, Verga Windi Akbar, Dego Yusa Ali

“…Further research is needed to optimize SRF formulations for more effective and efficient application in agriculture.…”
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YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…Secondly, an ASF structure is introduced in the neck, which effectively fuses the different levels of output features extracted by the backbone network and enhances the model’s ability to detect small objects. Subsequently, an additional detection layer is added to the neck, and C2f is replaced by C2f-EMA (CSP bottleneck with two convolutions–efficient multi-scale attention mechanism), which can redistribute feature weights and prioritize relevant features and spatial details across image channels to improve feature extraction. …”
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Unveiling quantum steering by quantum-classical uncertainty complementarity by Kuan-Yi Lee, Jhen-Dong Lin, Karel Lemr, Antonín Černoch, Adam Miranowicz, Franco Nori, Huan-Yu Ku, Yueh-Nan Chen

“…Abstract One of the remarkable aspects of quantum steering is its ability to violate local uncertainty complementarity relations. …”
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Team Recruitment of Collaborative Crowdsensing: A Graph-Based Approach by Hui Liu, Xiaowan Li, Chuang Zhang, Xiaodong Chen, Weipeng Tai

“…Unlike traditional crowdsensing user recruitment, collaborative crowdsensing not only considers users&#x2019; intrinsic abilities (sensing ability, reliability) but also places a greater emphasis on their extrinsic abilities(collaborative abilities). …”
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Insect Bio-inspired Neural Network Provides New Evidence on How Simple Feature Detectors Can Enable Complex Visual Generalization and Stimulus Location Invariance in the Miniature... by Mark Roper, Chrisantha Fernando, Lars Chittka

“…The ability to generalize over naturally occurring variation in cues indicating food or predation risk is highly useful for efficient decision-making in many animals. …”
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