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  1. 12941

    Combining systemic inflammation biomarkers with traditional prognostic factors to predict surgical site infections in elderly hip fracture patients: a risk factor analysis and dyna... by Yuhui Guo, Chengsi Li, Haichuan Guo, Peiyuan Wang, Xuebin Zhang

    Published 2025-01-01
    “…Multivariable analysis identified traditional prognostic factors older age (OR = 1.08, 95% CI 1.04–1.12), ASA class III-IV (OR = 2.46, 95% CI 1.32–4.56), surgical delay ≥ 6 days (OR = 3.59, 95% CI 1.36–9.47), surgical duration > 180 min (OR = 2.72, 95% CI 1.17–6.35), and systemic inflammation biomarkers Platelet-to-lymphocyte ratio (PAR) ≥ 6.6 (OR = 2.25, 95% CI 1.17–4.33) and Systemic Immune-Inflammation Index (SII) ≥ 541.1 (OR = 2.24, 95% CI 1.14–4.40) as independent predictors of SSI. …”
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  2. 12942

    Empirical Study of Far-Field Radio Frequency Wireless Power Transfer Testbed for Underground Mines Based on 1.8 GHz by Anabi Hilary Kelechi, Frimpong Samuel

    Published 2025-01-01
    “…In this study, we proposed, designed and performed an empirical study with a military-grade class A radio frequency wireless power transfer (RF-WPT) testbed. …”
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  3. 12943

    A Retrospective Claims-Based Study Evaluating Clinical and Economic Burden Among Patients With Moderate to Severe Osteoarthritis Pain in the United States by Patricia B. Schepman, Sheena Thakkar, Rebecca L. Robinson, Craig G. Beck, Deepa Malhotra, Birol Emir, Ryan N. Hansen

    Published 2022-03-01
    “…**Background:** There has been limited evaluation of medication adherence, healthcare resource utilization (HCRU), and healthcare costs over time in patients with osteoarthritis (OA), and stratification by pain severity level has not been reported. …”
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  4. 12944

    A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection by Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, Wenna Chen, Ganqin Du

    Published 2025-01-01
    “…In the binary classification tasks, both the D-E group (Bonn dataset) and the Interictal-Ictal group (New Delhi dataset) achieved 100% accuracy, 100% sensitivity, 100% specificity, 100% precision, and 100% F1-score. In the three-class classification task A-D-E on the Bonn dataset, the model performed excellently, achieving 96.19% accuracy, 95.08% sensitivity, 97.34% specificity, 97.49% precision, and 96.18% F1-score. …”
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  5. 12945

    Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques by Sadia Sabrin Nodi, Manoranjan Paul, Nathan Robinson, Liang Wang, Sabih ur Rehman, Muhammad Ashad Kabir

    Published 2025-01-01
    “…So, the course of action is to find the prediction accuracy of MSC for both page level and chip level by evaluating multiple deep learning methods combined with a patch-based mechanism. …”
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  6. 12946

    Il modello della fessura coesiva in trazione e compressione per la valutazione della duttilità degli elementi strutturali in calcestruzzo armato by Marco Paggi, Giuseppe Mancini, Mauro Corrado, Alberto Carpinteri

    Published 2009-01-01
    “…Nel passato, in particolare, si è studiato in maniera approfondita l’effetto della classe di duttilità dell’acciaio, mentre il ruolo degli effetti di scala, evidenziato da più campagne sperimentali, non è stato ancora del tutto chiarito. …”
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  7. 12947

    New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

    Published 2025-02-01
    “…In terms of climate ranges, the posterior probability of the Mediterranean biome reveals the greatest change, with an average boreal winter (December–February) temperature of <span class="inline-formula">10<sup>∘</sup>C</span> and an annual precipitation of 700 mm for Lake Kinneret during the Holocene. …”
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  8. 12948

    Genome-wide identification of the Sec14 gene family and the response to salt and drought stress in soybean (Glycine max) by Jinyu Zhang, Liying Zou, Li Wang, Dongchao Zhang, Ao Shen, Yongqi Lei, Maoni Chao, Xinjuan Xu, Zhiwei Xue, Zhongwen Huang

    Published 2025-01-01
    “…Based on the classification method used for Arabidopsis Sec14 members, GmSec14s can be categorized into three classes: GmPITP1 to GmPITP37, GmSFH1 to GmSFH25, and GmPATL1 to GmPATL15. …”
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  9. 12949

    CD200R1 immune checkpoint blockade by the first-in-human anti-CD200R1 antibody 23ME-00610: molecular mechanism and engineering of a surrogate antibody by Cristina Melero, S. Jimmy Budiardjo, Anahita Daruwalla, Lance Larrabee, Oleg Ganichkin, Alexander J. Heiler, Jill Fenaux, Ben Chung, Germaine Fuh, Yao-Ming Huang

    Published 2024-12-01
    “…Blockade of CD200R1-dependent signaling enhances T cell-mediated antitumor activity in vitro and in vivo. 23ME–00610 is a potential first-in-class, humanized IgG1 investigational antibody that binds hCD200R1 with high affinity. …”
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  10. 12950

    Evaluation of undergraduate dental students’ awareness, knowledge, and attitudes towards teledentistry: does a course enhance this? by Gökçen Akçiçek, Ezgi Katı, Hatice Yağmur Zengin

    Published 2025-01-01
    “…All analyses were conducted using IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp. …”
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  11. 12951

    Tousled-like kinase loss confers PARP inhibitor resistance in BRCA1-mutated cancers by impeding non-homologous end joining repair by Min-ah Kim, Banseok Kim, Jihyeon Jeon, Jonghyun Lee, Hyeji Jang, Minjae Baek, Sang-Uk Seo, Dongkwan Shin, Anindya Dutta, Kyung Yong Lee

    Published 2025-01-01
    “…Given that DSBs are highly cytotoxic, PARP inhibitors (PARPi), a prominent class of anticancer drugs, are designed to target tumors with HR deficiency (HRD), such as those harboring BRCA mutations. …”
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  12. 12952

    Extracellular electron transfer genes expressed by candidate flocking bacteria in cable bacteria sediment by Jamie J. M. Lustermans, Mantas Sereika, Laurine D. W. Burdorf, Mads Albertsen, Andreas Schramm, Ian P. G. Marshall

    Published 2025-01-01
    “…Cable bacteria extend the influence of oxygen to several centimeters, revealing a new class of anaerobic microbial metabolism with cable bacteria as electron acceptors. …”
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  13. 12953

    Whole-genome analysis of a ST45-SCCmec IVa (2B)-t116 methicillin-resistant Staphylococcus aureus strain isolated from the sputum of a 5-year-old child with pneumonia by Lin Huang, Rui Guo, Jingxian Lin, Xiaowei Li, Zhicong Li, Limei Zhang, Wenting Li, Rui Xue, Cheng Zhang, Xiaosan Feng, Xiaobin Li, Xiaobin Li

    Published 2025-01-01
    “…The SCCmec IVa (2B) carried by SA2107 contained the class B mec gene complex (IS431-mecA-ΔmecR1-IS1272) and type 2 ccr gene complex (ccrA2 and ccrB2). …”
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  14. 12954

    Adverse events of hepatic anti-fibrotic agents in phase 3 and above clinical trials: a descriptive analysis of the WHO-VigiAccess database by Yuwei Liu, Yuwei Liu, Xu Zhao, Xu Zhao, Xinrui Wang, Xinrui Wang, Qiang Zhou, Qiang Zhou

    Published 2025-01-01
    “…The ADR reports were retrieved from the WHO-VigiAccess database, with data categorized by demographic characteristics, geographic distribution, and System Organ Classes (SOCs). The most frequently reported ADRs were identified through descriptive analysis. …”
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  15. 12955

    Genetically predicted causal link between the plasma lipidome and pancreatic diseases: a bidirectional Mendelian randomization study by Liaoyi Lin, Yingbao Huang, Songzan Qian, Lifang Chen, Houzhang Sun

    Published 2025-01-01
    “…As for validation, 14 and 9 lipid species were correlated with acute and chronic pancreatitis of UK Biobank. Some lipid classes showed significant effects both in the FinnGen consortium and UK Biobank datasets.ConclusionsThe findings of this study indicate a potential genetic predisposition linking the plasma lipidome to pancreatic diseases and good prospects for future pancreatic disease clinical trials.…”
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  16. 12956

    Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

    Published 2020-01-01
    “…The network consists of a set of max-pooling and convolution layers to identify pixel-wise class labels and prediction of the mask. The second model is based on FCN called U-Net with Encoder-Decoder architecture. …”
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  17. 12957

    Mieux vaut prévenir que guérir : développement d’une trousse d’outils en santé et sécurité du travail (SST) pour les nouveaux immigrants qui utilisent les services d’établissement... by Agnieszka Kosny, Marni Lifshen, Peter Smith, Ron Saunders, Roland Rhooms

    Published 2014-04-01
    “…Material had to be delivered in a way that could incorporate class discussion, exercises and questions. Settlement staff wanted some guidance around how to address difficult questions and issues related to these topics. …”
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  18. 12958

    Single-cell RNA-seq reveals immune cell heterogeneity and increased Th17 cells in human fibrotic skin diseases by Cheng-Cheng Deng, Xue-Yan Xu, Yan Zhang, Long-Can Liu, Xuan Wang, Jun-Yi Chen, Liu-Yi Yao, Ding-Heng Zhu, Bin Yang

    Published 2025-01-01
    “…However, upregulated genes in keloid M1 macrophages, M2 macrophages, and cDC2 are associated with the MHC class II protein complex assembly and antigen assembly, indicating that macrophages and cDC2 are active in keloids. …”
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  19. 12959

    Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models by Wylie BJ, Kaali S, Duttweiler L, Ae-Ngibise KA, Mujtaba M, Tawiah C, Gibson E, Calafat AM, Ospina M, Jack DJ, Agyei O, Lee AG, Roberts DJ, Boamah-Kaali EA, Factor-Litvak P, Modest AM, Hauser R, Coull BA, Asante KP

    Published 2025-02-01
    “…Extending multiple informant models to account for the complex data structure allowed us to discern effects in opposing directions by distinct pesticide classes. While estimated effects for a given week were modest, prolonged or repeated exposures could result in larger cumulative impacts.…”
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  20. 12960

    Le Prince de Miguasha au musée du Parc de Miguasha by Gaëlle Mazé

    Published 2016-12-01
    “…Découverte pour la première fois en 1879 dans la formation géologique d’Escumiac en Gaspésie, Eusthenopteron foordi appartient à la classe des Sarcoptérygiens ou vertébrés à membres charnus1. …”
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