Multipurpose zero watermarking algorithm for medical image based on SVD and SAE by Jieli SUN, Yanxia ZHAO, Zenghui ZHOU, Sheng XING

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Multipurpose zero watermarking algorithm for medical image based on SVD and SAE by Jieli SUN, Yanxia ZHAO, Zenghui ZHOU, Sheng XING

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Development of Digital Flow Valve Applied to Aero-Engine Fuel Control and Research on Performance of Its Flow Characteristics by Yuesong Li

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TRACE: Transformer-Based Risk Assessment for Clinical Evaluation by Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos Karantzalos

“…The proposed architecture features a shared representation of the clinical data obtained by integrating specialized embeddings of each data modality, enabling the detection of high-risk individuals using Transformer encoder layers. To assess the effectiveness of the proposed method, a strong baseline based on non-negative multi-layer perceptrons (MLPs) is introduced. …”
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Structure-Aware and Format-Enhanced Transformer for Accident Report Modeling by Wenhua Zeng, Wenhu Tang, Diping Yuan, Hui Zhang, Pinsheng Duan, Shikun Hu

“…SAFE-Transformer adopts a dual-stream encoding architecture to separately model symbolic section features and heading text, integrates hierarchical depth and format types into positional encodings, and introduces a dynamic gating unit to adaptively fuse headings with paragraph semantics. …”
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Non-canonical activation of MAPK signaling by the lncRNA ASH1L-AS1-encoded microprotein APPLE through inhibition of PP1/PP2A-mediated ERK1/2 dephosphorylation in hepatocellular car... by Lei Zhao, Ke Si, Shenjian Luo, Lantian Zhang, Shuai Mao, Wenliang Zhang

“…Long non-coding RNAs (lncRNAs) can encode microproteins that play key roles in cancer. …”
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Disentangling effects of the DR and DQ isomers encoded by the HLA class II haplotype DRB1*15:01/DQB1*06:02 to help establish the true risk allele for FVIII inhibitor development in... by Vincent P. Diego, Bernadette W. Luu, Marcio A. Almeida, Raja Rajalingam, Marco Hofmann, Jacob A. Galan, Eron G. Manusov, Jerry S. Powell, Jerry S. Powell, Long V. Dinh, Henry Mead, Henry Mead, Huy Huynh, Anne M. Verhagen, Juan M. Peralta, Paul V. Lehmann, Paul V. Lehmann, Satish Kumar, Eli J. Fine, Joanne E. Curran, Harald H. Goring, Miguel A. Escobar, Sarah Williams-Blangero, Eugene Maraskovsky, John Blangero, Tom E. Howard, Tom E. Howard, Tom E. Howard

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Chinese Paper-Cutting Style Transfer via Vision Transformer by Chao Wu, Yao Ren, Yuying Zhou, Ming Lou, Qing Zhang

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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model by Waqar Khalid, Yazeed Alkharijah, Syed Muhammad Usman, Shehzad Khalid

“…The model features a customized convolutional auto-encoder decoder that inputs 3-dimensional features. …”
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Evolution and maintenance of a large multidrug-resistant plasmid in a Salmonella enterica Typhimurium host under differing antibiotic selection pressures by Ming Cheng, Jing-Jing Dai, Jin-Fei Zhang, Yu-Ting Su, Si-Qi Guo, Ruan-Yang Sun, Dong Wang, Jian Sun, Xiao-Ping Liao, Sheng Chen, Liang-Xing Fang

“…In addition, strong parallel mutations in chromosomal arcA were associated with pJXP9 carriage in Salmonella Typhimurium from diverse treatments. …”
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It is all in the [MASK]: Simple instruction-tuning enables BERT-like masked language models as generative classifiers by Benjamin Clavié, Nathan Cooper, Benjamin Warner

“…In this work, we introduce ModernBERT-Large-Instruct, a 0.4B-parameter encoder model that leverages its masked language modeling (MLM) head for generative classification. …”
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RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference by Wenying Guo, Shengdong Du, Jie Hu, Fei Teng, Yan Yang, Tianrui Li

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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator by Nafisa Mehtaj, Sourav Banerjee

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Assessing Pancreatic Fat and Its Correlation with Liver Fat in Suspected MASLD Patients Using Advanced Deep Learning Techniques from MRI Images by Hay Ching Cherrie Fung, Juan Pablo Meneses, Nirusha Surendran, Numan Kutaiba, Yasmeen George, Enes Makalic, Sergio Uribe

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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…The results underscore the ability to leverage transformer-primarily based architectures for strong cancer-type prediction and classification. …”
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Fixation sequences in imagery and in recognition during the processing of pictures of real-world scenes by Katherine Humphrey, Geoffrey Underwood

“…Scan patterns were compared with a string-editing algorithm. Close similarities were observed between experimental phases that involved more similar tasks (e.g., initial encoding vs. recognition, and immediate imagery vs. delayed imagery). …”
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Mock Modularity at Work, or Black Holes in a Forest by Sergei Alexandrov

“…In recent years, it was found that they capture the generating functions of the number of microstates of BPS black holes appearing in compactifications of string theory with 8 and 16 supercharges. This review describes these results and their applications, which range from the actual computation of these generating functions for both compact and non-compact compactification manifolds (encoding, respectively, Donaldson–Thomas and Vafa–Witten topological invariants) to the construction of new non-commutative structures on moduli spaces of Calabi–Yau threefolds.…”
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Exploring Virulence Characteristics of Clinical <i>Escherichia coli</i> Isolates from Greece by Lazaros A. Gagaletsios, Elisavet Kikidou, Christos Galbenis, Ibrahim Bitar, Costas C. Papagiannitsis

“…All isolates were typed by MLST. String production, biofilm formation and serum resistance were examined for all isolates. …”
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Mismatch response to polysyllabic nonwords: a neurophysiological signature of language learning capacity. by Johanna G Barry, Mervyn J Hardiman, Dorothy V M Bishop

“…Electrophysiologically measured mismatch responses were recorded to changes in consonants as participants passively listened to a repeating four syllable CV-string. The consonant change could occur in one of four positions along the CV-string and we predicted that: (a) if nonword repetition depended purely on auditory discrimination ability, then reduced mismatch responses to all four consonant changes would be observed in the poor nonword-repeaters, (b) if it depended on encoding or decay of information in a capacity-limited phonological store, then a position specific decrease in mismatch response would be observed, (c) if neither cognitive capacity was involved, then the two groups of participants would provide equivalent mismatch responses. …”
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New improved hybrid genetic algorithm for optimizing facility layout design of reconfigurable manufacturing system by Xiaoxiao Wei, Jiafan Sun, Haojin Jiao

“…After matched crossover and mutation operations on the layout encoding string, a small adaptive chaotic perturbation is applied to the genetically optimized optimal solution. …”
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