Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…These SA-PA signals exhibit distinct characteristics, including dependence of intensity on the source depths and symmetry in far-field angular patterns. Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Exploiting β‐Lactams‐Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual‐Digital PCR by Jiumei Hu, Liben Chen, Pengfei Zhang, Fan‐En Chen, Hui Li, Kuangwen Hsieh, Sixuan Li, Johan H. Melendez, Tza‐Huei Wang

“…Distinct patterns of bacterial lysis and DNA fragmentation are uncovered in susceptible strains. …”
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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…However, the degradation data of WTs exhibit complex patterns and are often interfered with by noise, making it challenging to extract meaningful features from the data. …”
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Specificity, propagation, and memory of pericentric heterochromatin by Katharina Müller‐Ott, Fabian Erdel, Anna Matveeva, Jan‐Philipp Mallm, Anne Rademacher, Matthias Hahn, Caroline Bauer, Qin Zhang, Sabine Kaltofen, Gunnar Schotta, Thomas Höfer, Karsten Rippe

“…Abstract The cell establishes heritable patterns of active and silenced chromatin via interacting factors that set, remove, and read epigenetic marks. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…Furthermore, a fusion attention mechanism with asymmetric query-key-value matrices is introduced to dynamically fuse historical wind power temporal patterns with refined NWP features, optimizing prediction outcomes. …”
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Clinical and pathological analysis of primary well-differentiated neuroendocrine tumors in the kidney- a case series by Dan Yuan, Jing Wu, Dong-Yue Wang, Jin-Jing Wang

“…Microscopic findings: Characteristic trabecular/rosette-like patterns, uniform cells with “salt-and-pepper” chromatin, and rare mitotic activity. …”
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De l’hypothese de Sapir-Whorf au prototype : sources et genese de la theorie d’Eleanor Rosch. by Jean-Michel Fortis

“…This paper deals with the origins of the theory of categorization developed by Eleanor Rosch in the 1970s. It is divided into two parts. …”
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Construction and Evaluation of a Domain-Related Risk Model for Prognosis Prediction in Colorectal Cancer by Xiangjun Cui, Yongqiang Xing, Guoqing Liu, Hongyu Zhao, Zhenhua Yang

“…Validation confirmed their prognostic value, with significant differences in survival, clinical features, immune patterns, and immunotherapy responses between the high- and low-risk groups. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…They can also vary from person to person, which makes it harder to extract features and understand the signals. Additionally, this variability, influenced by genetic and cognitive factors, presents challenges for developing subject-independent solutions. …”
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A step forward in enhancing the health-promoting properties of whole tomato as a functional food to lower the impact of non-communicable diseases by Pier Giorgio Natali, Pier Giorgio Natali, Mauro Piantelli, Alessandra Sottini, Margherita Eufemi, Cristina Banfi, Luisa Imberti

“…Although WTFS may be susceptible to further improvements and clinical scrutiny, its composition embodies the features of advanced functional foods to ease adherence to dietary patterns, that is, the Mediterranean diet, aimed at contrasting and mitigating the low-grade inflammation, thus being interceptive or preventive of non-communicable diseases.…”
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LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis by Alongkorn Kurilung, Suphitcha Limjiasahapong, Kwanjeera Wanichthanarak, Weerawan Manokasemsan, Khwanta Kaewnarin, Kassaporn Duangkumpha, Siriphan Manocheewa, Rossarin Tansawat, Roongruedee Chaiteerakij, Intawat Nookaew, Yongyut Sirivatanauksorn, Sakda Khoomrung

“…Post‑targeted screening identified 29 additional metabolites and assigned them to level 1 (m/z, RT, isotope pattern, and MS/MS spectra matched to reference standards) based on the Metabolomics Standards Initiative guidelines. …”
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A Novel Hypoxia-Immune Signature for Gastric Cancer Prognosis and Immunotherapy: Insights from Bulk and Single-Cell RNA-Seq by Mai Hanh Nguyen, Hoang Dang Khoa Ta, Doan Phuong Quy Nguyen, Viet Huan Le, Nguyen Quoc Khanh Le

“…Single-cell RNA-seq data from the TISCH database were used to explore gene expression patterns across cell types. <b>Results</b>: Five genes (<i>TGFB3</i>, <i>INHA</i>, <i>SERPINE1</i>, <i>GPC3</i>, <i>SRPX</i>) were identified. …”
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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…Smart meter data is compressed using Principal Component Analysis (PCA) and K-means clustering to extract representative consumption patterns, i.e., prototypes, achieving a 92% reduction in dataset size while preserving critical anomaly-relevant features. …”
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Identity negotiation on the LIHKG platform: a grounded theory study of Mainland Chinese immigrants’ adaptation to Hong Kong society by Lingxiao Zhang, Tao Shen

“…Results reveal a dynamic identity negotiation process characterized by four patterns (integrative, confrontational, collaborative, and avoidance) that immigrants strategically employ across different contexts. …”
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Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…The novelty of this work resides in the developed network architecture. In comparison to previous research, this work presents a deep binarized neural network featuring two hidden layers, each containing 256 units to effectively capture the spike characteristics of complex neural data. …”
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Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving by Wenli Dong, Weining Fang, Hanzhao Qiu, Haifeng Bao

“…Results: The results of statistical analysis confirmed the effectiveness of this paradigm in inducing SA level changes, revealing significant relationships between SA levels and key physiological metrics, including eye movement patterns, ECG features (e.g., heart rate variability), and EEG power spectral density across theta, alpha, and beta bands. …”
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System Approach to the Combined Use of Large Language Models and Classical Models in Foresight Tasks by Володимир Савастьянов, Михайло Столяр

“…The main result of the proceeding is that the patterns that reveal LLMs under certain settings can also be identified by classical models. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…AnyLogic's visualization tools helped pinpoint process bottlenecks. The developed model features adaptability, allowing parameter adjustments to align with organizational specifics. …”
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Complex immunohistochemical and molecular study on 5 cases of ovarian juvenile granulosa cell tumors reveals a consistent alteration in the PI3K/AKT/mTOR signaling pathway by Adam Šafanda, Nikola Hájková, Michaela Kendall Bártů, Marián Švajdler, Radoslav Matěj, Jitka Hausnerová, Tomáš Zima, Pavel Dundr, Kristýna Němejcová

“…All tumors showed the wild-type pattern of p53 expression. Regarding predictive markers, all tumors were HER2 negative and did not express PD-L1. …”
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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…However, it is still a challenging mission to develop a model with high predictability that captures the horizontal‐vertical features of ionospheric electrodynamics. …”
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