Dynamic simulations of feeding and respiration of the early Cambrian periderm-bearing cnidarian polyps by Yiheng Zhang, Xing Wang, Jian Han, Juyue Xiao, Yuanyuan Yong, Chiyang Yu, Ning Yue, Jie Sun, Kaiyue He, Wenjing Hao, Tao Zhang, Bin Wang, Deng Wang, Xiaoguang Yang

“…Here, we simulate the contraction and expansion of the microscopic periderm-bearing olivooid Quadrapyrgites via the fluid-structure interaction computational fluid dynamics (CFD) method to investigate their feeding and respiratory activities. …”
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Structural, Electronic, and Nonlinear Optical Characteristics of Europium-Doped Germanium Anion Nanocluster EuGe<i>_n</i>⁻ (<i>n</i> = 7–20): A Theoretical Inv... by Chenliang Hao, Xueyan Dong, Chunli Li, Caixia Dong, Zhaofeng Yang, Jucai Yang

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Geometrical Evolution Pattern and Spectroscopic Properties of Terbium-Doped Germanium Anionic TbGe<i>_n</i> (<i>n</i> = 6–17) Nanoclusters: From Tb-Lined to Tb-Encapsulat... by Chenliang Hao, Jucai Yang

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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…To address these issues, we propose MemGT, an unsupervised multivariate time series anomaly detection method that offers high accuracy, good robustness, and noise resistance for various data patterns in complex cloud environments. Our approach utilizes a Transformer encoder and dynamic graph structure learning to extract spatio-temporal features of monitoring metrics in cloud computing systems in parallel. …”
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A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM by Jiang Rong, Wangtu Xu, Yanjie Wen

“…Origin–Destination (OD) prediction offers comprehensive insights into urban mobility patterns but remains challenging due to high dimensionality, data sparsity, and complex spatiotemporal dependencies. …”
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Hive Mind Online: Collective Sensing in Times of Disinformation by Shuyuan Mary Ho, Jeffrey Nickerson, Qian Zhang

“…The study advances the use of computational efficacy to support the supposition of collective sensing—by analyzing individual social actors’ communicative language and interaction within group contexts. …”
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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

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The Mercedes-Benz Sign in the Gallbladder by Amine Naggar, Mohamed Fadil, Badr Kabila, Hounayda Jerguigue, Youssef Omor, Rachida Latib

“…The “Mercedes-Benz” sign is a term used to describe a triradiate pattern of gas found within gallstones. This pattern was initially observed on abdominal radiographs and later confirmed on computed tomography. …”
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An Exploration of the Use of Educational Robotics in Preschool Education by Veronica Mihaela Rus, Beatrice Almășan

“…Decomposition, abstraction, pattern recognition and algorithms were the four components of computational thinking analyzed and all obtained a score above the mean of the Likert scale used. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

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“Stocking Pattern Metabolic Captivity” of Legs on 18F-FDG PET-CT in Necrotizing Fasciitis: Potential Complimentary Role in Differential Diagnosis and Assessment of Disease Extent i... by Sunita Nitin Sonavane, Sandip Basu

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PyNET-Q&#x00D7;Q: An Efficient PyNET Variant for Q&#x00D7;Q Bayer Pattern Demosaicing in CMOS Image Sensors by Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Albert No

“…Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. However, their computational demands often make them unsuitable for mobile settings. …”
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AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model by Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos

“…AERO features an adaptive period detection mechanism that dynamically identifies dominant periodicities in multivariate workload data, allowing it to adjust to varying patterns and abrupt changes. With fewer than 1,000 parameters, AERO is highly suitable for deployment on edge devices with limited computational capacity. …”
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Sleep hygiene games and gamification: where are we and where are we heading? by Zilu Liang, Zilu Liang, Edward Melcer, Nhung Huyen Hoang, Kingkarn Khotchasing

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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…We also devise an improved method for robustly identifying ghost images, thereby enhancing computational reliability. We have advanced the state of the art by optimizing Twinkle specifically for heterogeneous computing devices by taking into account the unique task and cache memory dispatching patterns of GPUs, while the compatibility with the traditional computing architectures of CPUs is still maintained. …”
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Online News Sites and Journalism 2.0: Reader Comments on Al Jazeera Arabic by Muhammad M. Abdul-Mageed

“…Specifically, the themes, frequency, and regional coverage of readers’ comments—and in general, their activity levels and distribution—are considered, with a goal to increase knowledge of convergent media and computer-mediated communication (CMC), as well as shed light on the interactivity strategies adopted by influential news producers. …”
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A Computational Analysis Based on Automatic Digitization of Movement Tracks Reveals the Altered Diurnal Behavior of the Western Flower Thrips, <i>Frankliniella occidentalis</i>, Su... by Chunlei Xia, Gahyeon Jin, Falguni Khan, Hye-Won Kim, Yong-Hyeok Jang, Nam Jung, Yonggyun Kim, Tae-Soo Chon

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Phased Antenna-Array Synthesis Using Taylor-Series Expansion and Neural Networks by Adel Kouki, Ramzi Kheder, Ridha Ghayoula, Issam El Gmati, Lassaad Latrach, Wided Amara, Leila Ben Ayed, Jaouhar Fattahi

“…Traditional methods often rely on complex analytical formulations or numerical optimizations, leading to suboptimal solutions or high computational costs. The proposed method uses Taylor-series expansion to derive analytical expressions for PAA radiation patterns and beamforming characteristics, simplifying the optimization process. …”
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Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach by Kavitha Dhanushkodi, Akila Bala, Nithin Kodipyaka, V. Shreyas

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An Algorithm for Mining Frequent Approximate Subgraphs with Structural and Label Variations in Graph Collections by Daybelis Jaramillo-Olivares, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad

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