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  1. 6321

    FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification by Peixian Zhuang, Xiaochen Zhang, Hao Wang, Tianxiang Zhang, Leiming Liu, Jiangyun Li

    Published 2025-01-01
    “…Convolutional neural networks and Transformers have garnered substantial attention in hyperspectral image (HSI) classification, and recently Mamba has made significant progress in modeling long sequences. …”
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  2. 6322

    “Doctor, I Want to Be Like This!”: Exploring Global Beauty Body Standards Through a Multicenter Survey by Damiano Tambasco, MD, Jordi Mir, MD, Alfredo Hoyos, MD, David Sieber, MD, Mauricio Viaro, MD, Jack Zamora, MD, Carlos Manfrim, MD, Edwin Zara, MD, Federica Tomaselli, MD, Christian Montes, MD, Miriam Isola, MD, Maria De Martino, MD, Pier Camillo Parodi, MD, Roberta Albanese, MD, Mario Mendanha, MD

    Published 2025-01-01
    “…Plastic surgery aims to enhance patients’ positive features and improve perceived flaws without seeking complete transformation. The body is a living organism, not a sculptural object to be reshaped at will. …”
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  3. 6323

    Meat species authentication using portable hyperspectral imaging by Yuewen Yu, Yuewen Yu, Wei Chen, Wei Chen, Wei Chen, Dongjie Zhao, Dongjie Zhao, Hanwen Zhang, Hanwen Zhang, Wenliang Chen, Wenliang Chen, Rong Liu, Rong Liu, Chenxi Li, Chenxi Li

    Published 2025-04-01
    “…To improve generalization, the model transfer method was also developed to achieve model sharing across instruments, providing a reliable solution for rapid assessment of meat species.ResultsThe results demonstrate that the model transfer method can effectively correct the spectral differences due to instrument variation and improve the robustness of the model. …”
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  4. 6324
  5. 6325

    Responsiveness of European countries to the population mental health needs: A cross-national comparison study by Celso Arango, Andrea Fiorillo, Geert Dom, Javier-David Lopez-Morinigo

    Published 2025-01-01
    “…Bivariate correlations between Headway-transformed KPI scores, which were standardised in a 1–10 Likert Scale (1: worst performance; 10: best performance), tested for putative associations. …”
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  6. 6326

    Transfer Learning Based on Multi-Branch Architecture Feature Extractor for Airborne LiDAR Point Cloud Semantic Segmentation with Few Samples by Jialin Yuan, Hongchao Ma, Liang Zhang, Jiwei Deng, Wenjun Luo, Ke Liu, Zhan Cai

    Published 2025-07-01
    “…The existing deep learning-based Airborne Laser Scanning (ALS) point cloud semantic segmentation methods require a large amount of labeled data for training, which is not always feasible in practice. …”
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  7. 6327

    Variations in salivary microbiota and metabolic phenotype related to oral lichen planus with psychiatric symptoms by Kuichi Chen, Yuqi Qin, Li Yan, Yunmei Dong, Shiping Lv, Jingyi Xu, Ning Kang, Zhuoyan Luo, Yiyun Liu, Juncai Pu, Fangchun Chen, Xin Jin

    Published 2025-07-01
    “…Abstract Background Oral lichen planus (OLP) is a common chronic inflammatory disease of the oral mucosa with a certain tendency for malignant transformation. The etiology and pathogenesis of OLP remain unclear, and the relationship between psychiatric factors and the development of OLP has attracted much attention in recent years. …”
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  8. 6328

    Evaluation of the Diversities in the Inflammatory Responses in Cats With Bacterial and Viral Infections by Songul Erhan, Bengu Bilgic, Ezgi Ergen, Mert Erek, Elif Ergul Ekiz, Mukaddes Ozcan, Mehmet Erman Or, Banu Dokuzeylul, Erdal Matur

    Published 2024-11-01
    “…Results No statistically significant difference was noted in serum TNF‐α, IL‐1β and IL‐10 concentrations of the infected cats (p = 0.996, p = 0.160 and p = 0.930, respectively). …”
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  9. 6329

    Transvaginal ultrasound and magnetic resonance imaging in detecting rectosigmoid deep infiltrating endometriosis: a comparative meta-analysis by Ziwei Xu, Ziwei Xu, Yisheng Li, Yisheng Li, Yingying Wang, Yiting Wan, Yiting Wan, Jing Chen, Jing Chen

    Published 2025-03-01
    “…Statistical analysis indicated no significant differences in sensitivity (p = 0.86) or specificity (p = 0.50) between the two imaging techniques. …”
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  10. 6330
  11. 6331

    Economic impact of prolonged tracheal extubation times on operating room time overall and for subgroups of surgeons: a historical cohort study by Franklin Dexter, Anil A. Marian, Richard H. Epstein

    Published 2025-01-01
    “…Proportions were analyzed after arcsine transformation, and the inverse taken to report results. …”
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  12. 6332

    Variability of the Linguistic Consciousness development of an Individual in the Artificial Bilingualism Conditions by Наталя Токарева, Марина Цегельська

    Published 2023-04-01
    “…The purpose of this study was to outline the variable markers of the individual linguistic awareness/consciousness development in the conditions of artificial bilingualism. Methods. The main method of the study was the method of selective observation with the fixation of markers of the linguistic awareness development and qualitative indicators of respondents' mastery of English as a foreign language in the artificial bilingualism conditions. …”
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  13. 6333

    Associations of leucocyte subtypes and platelet parameters with kidney cancer risk in the UK Biobank cohort by Sofia Christakoudi, Konstantinos K. Tsilidis, Marc J. Gunter, Elio Riboli

    Published 2025-08-01
    “…Abstract Background Kidney cancer is related to obesity and inflammation and platelets are involved in thrombo-inflammation, but the prospective associations of individual leucocyte subtypes and platelet parameters with kidney cancer risk are unclear. Methods Using data from the UK Biobank cohort and multivariable Cox proportional hazards models, we obtained hazard ratios (HR per one standard deviation increase) with 95% confidence intervals (95%CI) for the mutually adjusted associations of inflammatory markers and platelet parameters (log-transformed), and allometric obesity indices (body mass index (BMI), a body shape index (ABSI), hip index) with kidney cancer risk (overall, by sex, and by follow-up time with a cut-off at 6 years). …”
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  14. 6334

    Advances in colorectal cancer screening and detection: a narrative review on biomarkers, imaging and preventive strategies by Adil khan, Uswa Hasana, Iman Anum Nadeem, Swara Punit Khatri, Shayan Nawaz, Qurat Ulain Makhdoom, Shahab Wazir, Kirtan Patel, Mohamd Ghaly

    Published 2025-04-01
    “…There are still issues with the global implementation of screening, including differences in access to screening between socioeconomic and racial groups. …”
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  15. 6335

    Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions by Tomita K, Nishida T, Kitaguchi Y, Kitazawa K, Miyake M

    Published 2025-05-01
    “…Kosei Tomita,1 Takashi Nishida,2 Yoshiyuki Kitaguchi,3 Koji Kitazawa,4,* Masahiro Miyake5,* 1Department of Ophthalmology, Kawasaki Medical School, Okayama, Japan; 2Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA; 3Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan; 4Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan; 5Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan*These authors contributed equally to this workCorrespondence: Takashi Nishida, University of California, 9415 Campus Point Drive, San Diego, La Jolla, CA, 92093-0946, USA, Email t.nishida.opt@gmail.comPurpose: To compare the diagnostic accuracy of Generative Pre-trained Transformer with Vision (GPT)-4, GPT-4 with Vision (GPT-4V), and GPT-4o for clinical questions in ophthalmology.Patients and Methods: The questions were collected from the “Diagnosis This” section on the American Academy of Ophthalmology website. …”
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  16. 6336

    Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

    Published 2025-01-01
    “…Most existing ORSI-SOD methods rely on pre-trained CNN- or Transformer-based backbones to extract features from ORSIs, followed by multi-level feature aggregation. …”
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  17. 6337

    “CONFESSIONS” BY J.-J. ROUSSEAU: TECHNIQUES OF AESTHETIC INFLUENCE AND STRATEGY OF READER’S RECEPTION by Olena K. Cherniavska, Iryna Ye. Rozhdestvenska

    Published 2024-06-01
    “…The research was conducted using historic-functional, hermeneutic, receptive, and theoretical analysis methods. An attempt is made in this paper to show how the process of “decoding” the meanings intended by the author in the text takes place. …”
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  18. 6338

    Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

    Published 2025-03-01
    “…To address the issue of long-distance dependencies in convolutional operations, a window multi-head attention mechanism (swin transformer) was integrated to design the uranium microparticle detection network. …”
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  19. 6339

    Abstract 194: Impact of Pre‐treatment Cerebral Microbleeds on the Outcomes of Endovascular Thrombectomy by Mohamed Elfil, Hazem S. Ghaith, Ahmed Bayoumi, Ahmed Elmashad, Mohammad Aladawi, Mina Al‐Ani, Zaid Najdawi, Fawaz Al‐Mufti

    Published 2023-11-01
    “…A significant reduction in the likelihood of achieving a favorable functional outcome, as measured by the modified Rankin Scale (mRS), was observed in patients with CMBs (Risk Ratio (RR) 0.70, 95% Confidence Interval (CI): 0.53 ‐ 0.91, P=0.01). No significant differences were observed between the two groups in terms of successful revascularization (RR 0.93, 95% CI [0.74 to 1.17], P=0.51), mortality (RR 0.93, 95% CI [0.74 to 1.17], P=0.51), hemorrhagic transformation (RR 0.93, 95% CI [0.59 to 1.45], P=0.74), and parenchymal hematoma (RR 1.23, 95% CI [0.79 to 1.91], P=0.35). …”
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  20. 6340

    Multidisciplinary DRG management for rational medication in obstetrics: a cost analysis in Zhejiang Province by Qiqin Zhang, Geer Zhang, Shuangneng Yang, Meng Zhang, Shujuan Shu, Mengdan Zhao

    Published 2025-05-01
    “…This represents a transformation from reactive cost control to proactive medication optimization. …”
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