A Two-Step Damage Diagnostic Approach Based on Static Strain Energy and Model-Updating via the Equilibrium Optimizer by Behrouz Safa, Asghar Rasouli, Yahya Nasira

“…., damage values. This optimization algorithm is used given that it has not been applied to damage detection problems before. …”
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Adolescent Psychological Assistance Treatment Strategy Integrating Home-School Coordination and Network Information by Yaling Li

“…According to the corresponding network information intelligent algorithm, this paper constantly adjusts the coordination strategy between family and school and guides teenagers to internalize the corresponding excellent behaviour into their own habits. …”
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Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D by Tian Ni, Can Sima, Wenzhong Zhang, Junlin Wang, Jia Guo, Lindan Zhang

“…In addition, an underwater docking positioning algorithm leveraging multiple markers was implemented. …”
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Anti malicious KGC certificateless signature scheme based on blockchain and domestic cryptographic SM9 by Fei TANG, Ning GAN, Xianggui YANG, Jinyang WANG

“…The certificateless cryptosystem can solve the problems of certificate management and key escrow at the same time, but its security model always assumes that Type II adversary (named malicious KGC) will not launch public key replacement attacks.This security assumption has certain limitations in real-world applications.As an efficient identity-based cryptographic scheme, SM9 signature scheme adopts R-ate bilinear pairing which has good security and high computational efficiency.However, it requires KGC to generate and manage keys for users, so it has the problem of key escrow.In view of the above problems, a certificateless signature scheme against malicious KGC was constructed based on blockchain and SM9 signature algorithm.Based on the properties of decentralization and tamper-proof of blockchain, the proposed scheme used the smart contract to record part of the public key corresponding to the user’s secret value on the blockchain.Then, the verifier can revoke the smart contract to query the user’s public key during the signature verification stage.Therefore, the proposed scheme ensured the authenticity of the user’s public key.The user’s private key consisted of the partial private key generated by KGC and a secret randomly chosen by the user.The user required the partial private key generated by KGC to endorse his identity identifier when the user generates the private key for the first time.Subsequently, the private key can be independently updated by changing the secret and the corresponding partial public key.During this process, the identity remains unchanged, which provided a viable solution for key management in decentralized application scenarios.The blockchain relied on the consensus mechanism to ensure the consistency of the distributed data.Based on the traceability of the blockchain, the change log of user’s partial public key was stored in the blockchain, which can trace the source of malicious public key replacement attacks and thereby prevent malicious KGC from launching public key replacement attacks.According to the experimental simulation and security proof results, the total overhead of signature and verification of the proposed scheme is only 7.4ms.Compared with similar certificateless signature schemes, the proposed scheme can effectively resist public key replacement attacks and has higher computational efficiency.…”
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Characteristics of Land Use Changes in Nansha District,Guangzhou Based on GF-1 Remote Sensing Images by CHEN Guangcheng, YU Huanghao, LI Binquan, CHEN Cheng, XU Dong, SUN Jinyan

“…The type of land use can reflect regional economic,social,and ecological benefits.In order to gain a deeper understanding of the composition and changes of land use in Nansha District,this paper selected the GF-1 PMS data in 2016,2017,and 2022 for preprocessing and used support vector machine algorithm oriented to supervised classification for remote sensing image interpretation.According to the results of field investigation and correction,the overall accuracy of the corrected land-use products was above 90%,and the Kappa coefficient was above 0.85.The land use transfer matrix in Nansha District from 2017 to 2021 was constructed,and a comparative analysis was carried out in combination with the land use planning in 2025.In 2017,the main land use type in Nansha District was water area,accounting for 40%.By 2021,the impervious surface has increased by 10% (14.39 km²),mainly from the transfer of cultivated land (8.06 km²) and water area (7.48 km²).The water area has decreased by 3% (10.63 km²),of which the conversion to impervious surface accounts for 70% of the total reduction area;cultivated land,forests,and grasslands have a small reduction.The urbanization process of Huangge Town and Nansha Street is the fastest,and the impervious surface area has increased significantly.The cultivated land in Dongchong Town and Dagang Town has been reduced on a small scale.A large amount of water areas in Wanqingsha Town and Longxue Street have been invaded by impervious surfaces.Compared with the overall urban planning of Nansha District in 2025,except for Zhujiang Street and Wanqingsha Town,the construction of the underlying surface of other towns and streets in Nansha District is basically completed.At the same time,the proportion of water areas,forests,and grasslands in Nansha District that are encroached by impervious surfaces is relatively high.In order to avoid damage to the ecological environment,it is necessary to strike a balance between social and economic development and ecological environment protection.…”
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Extrication following a motor vehicle collision: a consensus statement on behalf of The Faculty of Pre-hospital Care, Royal College of Surgeons of Edinburgh by Tim Nutbeam, Rob Fenwick, Charlotte Haldane, Caroline Leech, Emily Foote, Simon Todd, David Lockey

“…Results Consensus was achieved for all 12 statements, emphasising self-extrication as a preferred, primary approach, reducing extrication time, and moving away from absolute movement minimisation. The U-STEP OUT algorithm was endorsed as a decision-making tool. Key themes included interdisciplinary collaboration, use of operational and clinical decision aids, and enhanced training. …”
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Low-Cost Driver Monitoring System Using Deep Learning by Hady A. Khalil, Sherif A. Hammad, Hossam E. Abd El Munim, Shady A. Maged

“…In addition to the deep learning CNN which runs on Raspberry Pi CPU, we utilize the Raspberry Pi GPU to run a head pose estimation algorithm to boost the system’s accuracy.…”
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Trends in scientific output on the lesbian, gay, bisexual, and transgender (LGBT) community research: A bibliometric analysis of the literature by David AN, Kavita BATRA

“…Key points covered in the study were the development and trend of scientific effort and research themes in the LGBT topic, identified through the Bigram model and Latent Dirichlet Allocation algorithm. Results: A total of 21,221 publication records were retrieved from the PubMed database. …”
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RNA-BioLens: A Novel Raspberry Pi-Based Digital Microscope With Image Processing for Acute Lymphoblastic Leukemia Detection by Angeline Dwi Sanjaya, Rachmad Setiawan, Nada Fitrieyatul Hikmah

“…To address these challenges, this study presents a simplified digital microscope system integrated with the YOLOv4 (You Only Look Once) algorithm combined with additional segmentation and feature extraction methods designed explicitly for ALL cell detection. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…To address the issue of chaotic optical gradient feature and non-target interference factors affecting the feature extraction effect of chaotic optical surface microcracks in silicon nitride ceramic bearing rollers, an algorithm for extracting microcrack features from chaotic optical surfaces of silicon nitride ceramic bearing rollers based on multi-scale wavelet transform enhancement and optimized PSO-FCM coupling is proposed. …”
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Open Issues in Statistical Forecasting of Solar Proton Events: A Machine Learning Perspective by Mirko Stumpo, Simone Benella, Monica Laurenza, Tommaso Alberti, Giuseppe Consolini, Maria Federica Marcucci

“…The best performance is obtained by using the SMOTE algorithm, leading to probability of detection of 0.83 and a FAR of 0.39. …”
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Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment by Dewei Li, Yufang Gao, Ruoyi Li, Weiteng Zhou

“…The models are solved by the method of successive algorithm. Finally, the hybrid assignment models are applied to Beijing urban rail transit network for validation. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. …”
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Generalized Centered Binomial Distribution for Bimodal Lattice Signatures by Seungwoo Lee, Joo Woo, Jonghyun Kim, Jong Hwan Park

“…Finally, we compare the performance of our variant to GALACTICS, a previous constant-time implementation of BLISS. While the signing algorithm of our variant is about 3.3 times slower than that of GALACTICS, GCBD can serve as an alternative to the discrete Gaussian distribution for designing bimodal lattice signatures.…”
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Prediction of miRNA-circRNA Associations Based on k-NN Multi-Label with Random Walk Restart on a Heterogeneous Network by Zengqiang Fang, Xiujuan Lei

“…First, in the conventional Random Walk Restart Heterogeneous (RWRH) algorithm, the computational method simply converts the circRNA/miRNA similarity network into the transition probability matrix; in contrast, we take the influence of the neighbor of the node in the network into account, which can suggest or stress some potential associations. …”
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Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

“…A K-Means clustering algorithm is then applied to conduct the clustering analysis. …”
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A novel FPGA‐Based Bi input‐reduced order extended Kalman filter for speed‐sensorless direct torque control of induction motor with constant switching frequency controller by Remzi Inan

“…The proposed BI‐ROEKF is created by applying two different non‐linear and linear system input functions obtained from two different IM models to the single reduced order extended Kalman filter (ROEKF) algorithm. Thus, the order and the computational burden of the EKF are reduced. …”
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The Mediation of Circulating Inflammatory Proteins in the Causal Pathway from Immune Cells to COPD by Yan K, Wang Y, Xin P

“…Lastly, a two-step approach was employed to ascertain the proportion of inflammatory proteins that mediate immune cell-mediated effects in COPD.Results: The combination of the inverse variance weighting method and the Bayesian weighting algorithm identified 30 immune cells that were found to be causally associated with COPD, as well as eight inflammatory proteins that were associated with COPD. …”
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A Pseudopotential Lattice Boltzmann Method for Simulation of Two-Phase Flow Transport in Porous Medium at High-Density and High–Viscosity Ratios by Eslam Ezzatneshan, Reza Goharimehr

“…Then, according to the results obtained, a conclusion has been made to choose an efficient numerical algorithm, including an appropriate collision operator, a realistic EoS, and an accurate forcing scheme, for simulation of multiphase flow transport through a porous medium. …”
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Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…Finally, we used RT-qPCR, immunofluorescence, Western blotting and Elisa to validate hub gene expression in MASLD and T2DM mouse models.ResultsThis analysis identified 20 genes shared by MASLD and T2DM that were enriched in the bile secretion, phototransduction, cancer, carbohydrate digestion and absorption, cholesterol/glycerol metabolism, and retinol metabolism. The LASSO algorithm and ROC curve identified Retinol Dehydrogenase 10 (RDH10) as the best diagnostic gene for MASLD and T2DM. …”
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