Dispersive surface-response formalism to address nonlocality in extreme plasmonic field confinement by Babaze Antton, Neuman Tomáš, Esteban Ruben, Aizpurua Javier, Borisov Andrei G.

“…An explicit comparison with time-dependent density functional theory (TDDFT) results shows that the dispersive SRF correctly describes the plasmonic response of planar and nonplanar systems featuring extreme field confinement. This work thus significantly extends the applicability range of the SRF, contributing to the development of computationally efficient semiclassical descriptions of light–matter interaction that capture quantum effects.…”
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High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

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Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…The most important and related predictors selected by the Boruta feature selection method were used to develop ML prediction models. …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

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Lightweight deep learning method for end-to-end point cloud registration by Linjun Jiang, Yue Liu, Zhiyuan Dong, Yinghao Li, Yusong Lin

“…In this study, we propose a lightweight deep learning-based registration method that captures features from multiple perspectives to predict overlapping points and mitigate the interference of non-overlapping points. …”
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Predicting abnormal epicardial adipose tissue in psoriasis patients by integrating radiomics from non-contrast chest CT with serological biomarkers by Rui Han, Juan Hou, Ping Xia, Yan Xing, Wenya Liu

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A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting by Honghui Wan, Feiyu Zhao

“…This network effectively extracts features, segments point clouds, and accurately identifies and computes parameters of regular geometric primitives with notable resilience to noise. …”
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M-RSF: a multilevel feedback queue task scheduling mechanism for Unikernel by DONG Bonan, YANG Qiusong, LI Mingshu

“…Unikernel, as a cutting-edge technology in the field of cloud computing, is characterized by its fast start-up speed and minimal resource usage. …”
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Comparative morpho-topometric characteristics of human T_I and T_VI vertebrae in the first period of adulthood and old age by A. A. Balandin, O. A. Chudinov, I. A. Balandina

“…To carry out various diagnostic and therapeutic manipulations in the thoracic spine, a specialist doctor needs a solid body of knowledge about the morphotopometric features of the vertebrae associated with the age and gender of the subject. …”
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Triple band lateral 4-port flexible MIMO antenna for millimeter wave applications at 24/28/38 GHz by Rakesh N. Tiwari, Deepti Sharma, Prabhakar Singh, Bandrevu Guru Kullayappa, Pradeep Kumar, Boya Ranga Swamy, Gulimi Pavan Kumar, S. Rajasekaran

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Protocol for processing and analyzing multiplexed images improves lymphatic cell identification and spatial architecture in human tissue by Justin A. Smith, Drew T. Bloss, MacKenzie D. Williams, Amanda L. Posgai, Todd M. Brusko, Mark A. Atkinson, Clive H. Wasserfall, Maigan A. Brusko

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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and I... by Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim, Hyun Joo Shin, Jeong-Ho Kim, Ji-Hoon Na, Chae Jung Park, Beomseok Sohn

“…The mean absolute Shapley values were computed to quantify the impact of each parameter. …”
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Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

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An Image and State Information-Based PINN with Attention Mechanisms for the Rapid Prediction of Aircraft Aerodynamic Characteristics by Yiduo Kan, Xiangdong Liu, Haikuo Liu

“…Prediction of aircraft aerodynamic parameters is crucial for aircraft design, yet traditional computational fluid dynamics methods remain time-consuming and labor-intensive. …”
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A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

“…Depthwise separable convolutions are first employed to extract local features from the disturbance signals. An efficient softthreshold block is then introduced to reduce noise and redundant features without significantly increasing the model′s parameters or complexity. …”
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Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…The model is deployed on an OrangePi5 Plus edge computing board. Compared with the baseline model, the maximum ice-thickness detection error is 4.2%, the model parameters are reduced by 86.1%, and the detection speed is increased by 74.6%. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Second, the Lightweight Spatial Pyramid Pooling Fast (LSPPF) structure is designed to enhance multiscale feature extraction while accelerating computational speed. …”
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Prostate-specific antigen and prostate-specific antigen kinetics in predicting 18F-sodium fluoride positron emission tomography-computed tomography positivity forfirst bone metasta... by James Yoon, Leslie Ballas, Bhushan Desai, Hossein Jadvar

“…Records were reviewed to obtain data on PSA levels and kinetics at the time of 18F-NaF PET-CT and pathologic features of the prostatectomy specimen, which were then used for receiver operating characteristic (ROC) analysis to determine predictability for 18F-NaF PET positivity. …”
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Polar protic and aprotic solvents induced nonlinear optical and optical limiting properties of Xanthene dye: A DFT Study by Natarajan Arumugam, Abdulrahman I. Almansour, Rohith Ramasamy, Rajadurai Vijay Solomon, A.G. Bharathi Dileepan, Madhappan Santhamoorthy, S. Jeyaram

“…The computational results highlight a clear solvent effect on the enhancement of NLO responses. …”
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