Secure Smart Contract Based on Blockchain to Prevent the Non-Repudiation Phenomenon by Noor Sabah Mohammed, Omar Abdulrahman Dawood, Ali Makki Sagheer, Ahmed Adil Nafea

“…Experiments showed us the complexity of time and cost when using the (ECC) algorithm and using (RSA) algorithm depending on the size and length of the key. …”
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Errors and complications with post-traumatic frontal deformities of the elbow joint corrected with supracondylar osteotomy with the Ilizarov apparatus by Yuri P. Soldatov, Alexander N. Diachkov

“…Discussion The number of complications in patients of the treatment group was seven times less compared to literature data, while the total number of complications after supracondylar osteotomy of the humerus and Ilizarov fixation was 1.6 times lower. …”

PBD-YOLO: Dual-Strategy Integration of Multi-Scale Feature Fusion and Weak Texture Enhancement for Lightweight Particleboard Surface Defect Detection by Haomeng Guo, Zheming Chai, Huize Dai, Lei Yan, Pengle Cheng, Jianhua Yang

“…To address these issues, this study proposed PBD-YOLO (Particleboard Defect-You Only Look Once), a lightweight YOLO-based algorithm with multi-scale feature fusion and weak texture enhancement capabilities. …”
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Prospective external validation of the automated PIPRA multivariable prediction model for postoperative delirium on real-world data from a consecutive cohort of non-cardiac surgery... by Mary-Anne Kedda, Kelly A Reeve, Nayeli Schmutz Gelsomino, Michela Venturini, Felix Buddeberg, Martin Zozman, Reto Stocker, Philipp Meier, Marius Möller, Simone Pascale Wildhaber, Benjamin T Dodsworth

“…Objectives Postoperative delirium (POD) is a common complication in surgical patients over 60, increasing morbidity, mortality and hospital stays. While international guidelines recommend risk screening, resource constraints limit implementation. …”
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RGB and Point Cloud-Based Intelligent Grading of Pepper Plug Seedlings by Fengwei Yuan, Guoning Ma, Qinghao Zeng, Jinghong Liu, Zhang Xiao, Zhenhong Zou, Xiangjiang Wang

“…Subsequently, a deep learning-based leaf recognition algorithm processes the segmented RGB images to determine leaf count, while another deep learning-based algorithm segments the leaves in the 2D point cloud images to extract their spatial information. …”
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Recognition of State of Health Based on Discharge Curve of Battery by Signal Temporal Logic by Jing Ning, Bing Xiao, Wenhui Zhong

“…Compared with the existing machine learning algorithms, in terms of the mean runtime, the STL algorithm is superior to the CNN-BiLSTM-MHA model, RNN-LSTM-GRU model, and EC-MKRVM model. …”
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DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data by Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis

“…While Filigree is a user-friendly tool, it has certain limitations when used for the analysis of large-scale metabolomics datasets. …”
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Technology and Security Analysis of Cryptocurrency Based on Blockchain by Chao Yu, Wenke Yang, Feiyu Xie, Jianmin He

“…However, the principle of the hash algorithm (SHA256) confirms ownership. Meanwhile, SHA256 is infeasible to compute in the reverse direction and is difficult to attack. …”
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Resource Management Across Edge Server in Mobile Edge Computing by Saifur Rahman, Mazhar Hussain, Syed Ibad Ali Shah, Zaiwar Ali, Muhammad Ayaz Khan, Grzegorz Nowakowski, Marek Sieja, Muhammad Irfan, Fazal Muhammad

“…The Edge device (Ed) does not have enough computational resources, so it offloads its tasks to nearby Mobile Edge Servers (MES), while sometimes offloading tasks to MES causes MES to overload. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

“…<b>Methods:</b> We analyzed electronic health records from four university hospitals in Salzburg, Austria, focusing on X-rays performed between 2012 and 2021 following CVC procedures. A custom-built NLP algorithm identified cases of pneumothorax from radiologists’ reports and clinician requests, while excluding cases with contraindications such as chest injuries, prior pneumothorax, or missing data. …”
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An Automatic Welding Seam Extraction Method for Butt Workpieces with Varying Seam Widths Based on DLP Vision by Linbo Hao, Huaming Wang, Zeyu Sun, Yiming Wang, Bin Li, Shaohua Jiang, Zhiqiang Liu

“…Planar butt seams are common in industrial sites, while the current seam extraction schemes are difficult to cope with butt seams with varying widths. …”
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Towards a practical management of fatigue in systemic lupus erythematosus by Thierry Martin, Matthias Schneider, Pierre-Edouard Gavand, Philippe Mertz, Aurélien Schlencker

“…In patients with active disease, remission is the most appropriate therapeutic target while symptomatic support is needed in case of damage. …”
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Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

“…Ablation experiment results show that introducing K-means clustering improves the model’s running speed, while the improved QPSO algorithm and the introduction of multiple kernel functions enhance the model’s accuracy. …”
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Delineation of 3D crustal seismic structures beneath western Tibet and the Himalayan range using local earthquake tomography by Arghya Kusum Dey, Niptika Jana, Rahul Biswas

“…Preliminary events located using the VELEST algorithm resulted in the development of a 1-D velocity model through inversion, which was then used in the TomoDD algorithm to relocate earthquakes and generate a high-resolution 3-D velocity structure model. …”
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Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

“…The experimental results indicate that the mean absolute error (MAE) of the original algorithm was 14.58%, while the MAE of the improved FastICA decreased by 10.31%, dropping to 4.27%. …”
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Multiscale Structural Information-Based Laplacian Generative Adversarial Network Representation Learning by Yan Liu, Xi Chen, Zheng Lu, Ziyue Wu

“…NRL aims to learn low-dimensional representations of nodes while preserving their structural information, and preserving multiscale structural information of nodes is important for NRL. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…To gauge the effectiveness of the proposed IWOA algorithm, evaluation metrics like precision, accuracy, recall, and F1-score were used. …”
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Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection by Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang

“…Further analysis reveals that our algorithm generates more compact models, focusing on the inclusion of important features.…”
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Fast sparse representative tree splitting via local density for large-scale clustering by Renmin Wang, Jie Li

“…Extensive experiments on synthetic and real-world data sets (up to 20 million samples) demonstrate the algorithm’s superiority: it achieves higher clustering accuracy than state-of-the-art methods while reducing runtime. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…Then, based on the weight of the evaluation index, the group algorithm analysis in landscape design is proposed, which is a generalized definition of the standard model. …”
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