Assessment of Racial Misclassification Among American Indian and Alaska Native Identity in Cancer Surveillance Data in the United States and Considerations for Oral Health: A Syste... by Amanda J. Llaneza, Alex Holt, Julie Seward, Jamie Piatt, Janis E. Campbell

“…Oral health is associated with cancer incidence and survival; however, misclassification adds another layer of complexity to understanding the impact of poor oral health. …”
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Rewiring the Brain Through the Gut: Insights into Microbiota–Nervous System Interactions by Ilinca Savulescu-Fiedler, Serban-Nicolae Benea, Constantin Căruntu, Andreea-Simona Nancoff, Corina Homentcovschi, Sandica Bucurica

“…Microbial modulation of host gene expression via epigenetic mechanisms, including microRNAs, adds another layer of complexity. The gut has a crucial role as an active sensory and signaling organ capable of influencing higher-order brain functions. …”
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Jitter Error Correction for the HaiYang-3A Satellite Based on Multi-Source Attitude Fusion by Yanli Wang, Ronghao Zhang, Yizhang Xu, Xiangyu Zhang, Rongfan Dai, Shuying Jin

“…The registration accuracy of the multispectral images from the Coastal Zone Imager improved from 0.568 to 0.350 pixels. The time complexity is low with the single-layer linear traversal structure. …”
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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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Cybersecurity Framework for IoT-Integrated Electric Power Information Systems by Mamyrbayev Orken, Berdysheva Dinara Abdumauvlenovna, Zhetpisbayeva Ainur Tursynkanovna, Nurbapa Mekebayev, Tansaule Serikov, Shermantayeva Zhazira, Kydyrbekova Aizat

“…This study develops and evaluates a comprehensive cybersecurity framework tailored for IoT-integrated power grids, addressing the unique vulnerabilities and complexities of these critical systems. A multi-layered security approach was designed, incorporating device authentication, encrypted communication, and machine learning-based anomaly detection. …”
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Signal Detection in Intelligent Reflecting Surface-Assisted NOMA Network Using LSTM Model: A ML Approach by Haleema Sadia, Hafsa Iqbal, Syed Fawad Hussain, Nasir Saeed

“…Further, to optimize the phase shifts of IRS, we exploit a low complexity iterative solution using the element-wise block coordinate descent (EBCD) method. …”
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A cross-stage features fusion network for building extraction from remote sensing images by Xiaolong Zuo, Zhenfeng Shao, Jiaming Wang, Xiao Huang, Yu Wang

“…The efficiency analysis reveals that the proposed CFF-Net achieves a great balance between building extraction performance and complexity/efficiency, with faster convergence and higher robustness.…”
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“New” Antigenic Targets and Methodological Approaches for Refining Laboratory Diagnosis of Antiphospholipid Syndrome by Roberta Misasi, Antonella Capozzi, Agostina Longo, Serena Recalchi, Emanuela Lococo, Cristiano Alessandri, Fabrizio Conti, Guido Valesini, Maurizio Sorice

“…Antiphospholipid antibodies (aPLs) are a heterogeneous group of antibodies directed against phospholipids or protein/phospholipid complexes. Currently, aPLs are assessed using either “solid-phase” assays that identify anticardiolipin antibodies and anti-β2-glycoprotein I antibodies or “liquid-phase” assay that identifies lupus anticoagulant. …”
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A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model by Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain

“…In this article, we introduce a system for efficient anomaly detection that can function in surveillance networks with a modest level of complexity. The proposed method starts by obtaining spatiotemporal features from a group of frames. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…Thanks to the proposed pruning strategy, it is possible to reduce the ANN complexity significantly, thereby achieving a higher data throughput with the GPU-based implementation. …”
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Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism by Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong, Xiaoshuang Zhang

“…Existing fusion methods normally struggle to effectively align sonar and AIS data in both time and space subject to the complexity of the problem. In this study, the Dynamic Time Warping (DTW) algorithm is applied to align sonar and AIS data in the time domain. …”
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Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond by Anas Alashqar, Ehsan Olyaei Torshizi, Raed Mesleh, Werner Henkel

“…Physical-layer secret key generation (PSKG) has emerged as a promising technique for enhancing wireless security in Internet of Things (IoT) networks by exploiting the reciprocity of uplink and downlink channels. …”
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DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

“…Furthermore, DN-ShapeIoU, a novel loss function, has been established to enhance detection accuracy, and depthwise separable convolutions have been included to decrease computational complexity. The experimental results showed that the proposed model outperformed YOLOV8n in terms of mAP50, mAP95, precision, and FPS while reducing GFLOPs and parameter count. …”
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Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…Finally, a dense output layer is used for classification. The proposed model is evaluated on both the BACH dataset and all four magnification levels of the BreakHis dataset. …”
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Exon: An Oblivious Exactly-Once Messaging Protocol With Reliable Delegation by Ziad Kassam, Paulo Sergio Almeida, Ali Shoker

“…Ensuring EO delivery ends up at the middleware layer, at the cost of higher complexity and lack of obliviouness—due to the use of permanent per-peer state. …”
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…The research effectively addresses the vanishing gradient problem by replacing the traditional Rectified Linear Unit (ReLU) activation function with Leaky ReLU, while simplifying the network structure through the use of a Global Average Pooling layer to reduce model complexity. Additionally, the residual structure is fine-tuned to adapt to dynamic environmental features, thereby enhancing the model’s capability to recognize swing actions. …”
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Sorption of molecular hydrogen on the graphene-like matrix doped by N- and B-atoms by M. T. Kartel, V. V. Lobanov, E. M. Demyanenko, Wang Bo, A. G. Grebenyuk, O. S. Karpenko

“…To take into account the dispersion contributions to the energy of formation of intermolecular complexes that occur during the formation of adsorption supramolecular structures, Grimme’ dispersion correction is used - D3. …”
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Influencing factors systems analysis for the cultivated land protection policies implementation in China: a hybrid DEMATEL-ISM-MICMAC model by Yanwei Zhang, Xinhai Lu

“…In conclusion, the Multi-layer hierarchical structure influencing factor model used in this paper helps to deepen the research on the implementation ability of CLPP.…”
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Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection by Hariprasad Holla, Shashidhar Reddy Polepalli, Arun Ambika Sasikumar

“…Explicit computational overhead analysis demonstrates that our proposed defense approach introduces modest additional training complexity (approximately 25% overhead) without significantly impacting inference speed, explicitly confirming practical feasibility for real-time deployment. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…Additionally, we explore the use of TinyViT to reduce computational complexity and propose an attention mechanism to dynamically enhance feature representation. …”
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