Efficient Phase Retrieval via Improved Binary Amplitude Modulation Masks by Chao Yang, Cheng Xu, Hui Pang, Jun Lan, Lixin Zhao, Song Hu, Wei Yan, Xianchang Zhu

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Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

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INTERNET USE OF POLISH BY POLISH MELBURNIANS: IMPLICATIONS FOR MAINTENANCE AND TEACHING by Michael Fitzgerald, Robert Debski

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CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT by Usman Wijaya, Yogi Yulianto, Emon Haryanto

“… Numerous studies have employed computer vision algorithms to analyze images of concrete damage. …”
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STUDENTS WRITING EMAILS TO FACULTY: AN EXAMINATION OF E-POLITENESS AMONG NATIVE AND NON-NATIVE SPEAKERS OF ENGLISH by Sigrun Biesenbach-Lucas

“…This study combines interlanguage pragmatics and speech act research with computer-mediated communication and examines how native and non-native speakers of English formulate low- and high-imposition requests to faculty. …”
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Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Attaporn Khaesawad, Yosuke Fukuchi, Vibol Yem, Nobuyuki Nishiuchi

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Social Media Toxic Content Filtering System using SOIR Model by Nidhi Bhandari, Rachna Navalakhe, G.L Prajapati

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DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis by Hasina Attaullah, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, Thorsten Jungeblut

“…This work presents a novel approach using smart home data to detect early signs of neurodegeneration through continuous monitoring of sleep patterns and daily activity routines. In a smart home environment, sensors passively monitor daily routines, sleep quality, and mobility patterns of the elderly persons. …”
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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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Prognostic model of socio-pedagogical assistance to employment of university graduates by Ljubov G. Pak, Elena G. Kameneva, Ljubov A. Kochemasova, Yulia A. Sokolova

“…The methodological block of the authors model was characterized, reflecting the conceptual ideas of acmeological and activity scientific approaches, patterns and the general scientific principles arising from them (professional orientation; focus on self-development of key competencies; subjectivity; expediency and conscious perspective; activity polyphonism). …”
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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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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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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

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FORMATION OF FUND OF ESTIMATED MEANS WHEN STUDYING NATIONAL HISTORY BY MEANS OF THE INFORMATIVE AND ACTIVE MATRIX by Tamara B. Tarabrina, Olga B. Voloshina

“…In article the problem of measurability of knowledge and formation of competences of profes-sional education when studying discipline "History" is considered. …”
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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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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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