Safety and effectiveness of appropriately and inappropriately dosed rivaroxaban or apixaban versus warfarin in patients with atrial fibrillation: a cohort study with nested case–co... by Luis Alberto García Rodríguez, Pareen Vora, Luke Roberts, Gunnar Brobert, Samuel Fatoba, María Eugenia Sáez, Antonio González-Pérez

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A Comparison of Urine Dilution Ability between Adult Dominant Polycystic Kidney Disease, Other Chronic Kidney Diseases, and Healthy Control Subjects: A Case-Control Study by M. H. Malmberg, F. H. Mose, E. B. Pedersen, J. N. Bech

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Association of Myeloid Cells of Triggering Receptor-1 with Left Ventricular Systolic Dysfunction in BALB/c Mice with Sepsis by Gaosheng Zhou, Lijun Ye, Liang Zhang, Liangqing Zhang, Yuanli Zhang, Liehua Deng, Huaguo Yao

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A multi-trait approach identified 7 novel genes for back pain by Nadezhda M. Belonogova, Elizaveta E. Elgaeva, Irina V. Zorkoltseva, Anatoliy V. Kirichenko, Gulnara R. Svishcheva, Maxim B. Freidin, Frances M. K. Williams, Pradeep Suri, Tatiana I. Axenovich, Yakov A. Tsepilov

“…Using phenotypes and imputed genotypes from the UK Biobank 500k dataset, we generated a multi-trait phenotype by combining 3 BP-related phenotypes: chronic BP, dorsalgia, and intervertebral disk disorders. …”
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Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe by Devara P. Adiningrat, Andrew Skidmore, Michael Schlund, Tiejun Wang, Haidi Abdullah, Marco Heurich

“…These structural metrics were then used as predictors for the final classification of old-growth forests, yielding an overall accuracy of 78%, with a true skill statistic (TSS) of 0.58 for the test dataset. This study demonstrates that using a few structural LiDAR metrics provides more information than a high number of standard LiDAR metrics, particularly for identifying old-growth forests in mixed temperate forests. …”
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The Coronal Power Spectrum from MHD Mode Conversion above Sunspots by Hemanthi Miriyala, Richard J. Morton, Elena Khomenko, Patrick Antolin, Gert J.J. Botha

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Intentional saccadic eye movements in patients with vestibular migraine by Pan Gu, Jing Feng, Lipeng Cai, Huimin Fan, Hailing Wang, Xiaokun Geng, Yuchuan Ding

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Dynamics and drivers of the carbonate system: response to terrestrial runoff and upwelling along the Northeastern Colombian Caribbean coast by Constanza Ricaurte-Villota, Magnolia Murcia-Riaño, José Martín Hernádez-Ayón

“…This study provides a novel 6-year time-series dataset for the carbonate system in the Colombian Caribbean, offering a valuable baseline for assessing the impacts of global warming and ocean acidification in the region.…”
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In ovo delivery of carvacrol triggers expression of chemotactic factors, antimicrobial peptides and pro-inflammatory pathways in the yolk sac of broiler chicken embryos by Mila M. Y. Meijer, Henry van den Brand, Shahram Niknafs, Eugeni Roura

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Estimation of cytoprotective effect of bismuth tripotassium dicitrate on gastric mucosa at <i>H. pylori</i> eradication and long-term drug intake by A. V. Kononov, S. I. Mozgovoi, L. B. Rybkina, S. S. Bunova, A. G. Shimanskaya

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Association of vaginal oestradiol and the rate of breast cancer in Denmark: registry based, case-control study, nested in a nationwide cohort by Christian Torp-Pedersen, Lina Steinrud Mørch, Nelsan Pourhadi, Amani Meaidi, Ellen Christine Løkkegaard

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Direct Photocoagulation Guided by Merged Retinal Images for the Treatment of Focal Diabetic Macular Edema by Yoshihiro Takamura, Takehiro Matsumura, Shogo Arimura, Makoto Gozawa, Masakazu Morioka, YutakaYamada, Masaru Inatani

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Breeding value of potato hybrid clones from the VIR collection revealed in the environments of Kamchatka Territory by A. D. Ivashchenko, T. P. Sherstyukova, O. I. Khasbiullina, E. V. Rogozina

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A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion by Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu

“…In this paper, Set12, BSD68, Set5, CBSD68, and SIDD are used as a test dataset to which different intensities of Gaussian white noise were added for testing and compared with several mainstream denoising methods currently available. …”
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SS-YOLO: A Lightweight Deep Learning Model Focused on Side-Scan Sonar Target Detection by Na Yang, Guoyu Li, Shengli Wang, Zhengrong Wei, Hu Ren, Xiaobo Zhang, Yanliang Pei

“…To validate the detection performance of the model, we conducted experiments on the combined side-scan sonar dataset (SSSD). The results show that our proposed SS-YOLO model achieves average accuracies of 92.4% (mAP 0.5) and 64.7% (mAP 0.5:0.95), outperforming the original YOLOv8 model by 4.4% and 3%, respectively. …”
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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

“…The tests carried out on dataset collected in Nur Hidayah Hospital of Yogyakarta in Indonesia show a great improvement compared to previous studies. …”
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Can CT Image Reconstruction Parameters Impact the Predictive Value of Radiomics Features in Grading Pancreatic Neuroendocrine Neoplasms? by Florent Tixier, Felipe Lopez-Ramirez, Alejandra Blanco, Mohammad Yasrab, Ammar A. Javed, Linda C. Chu, Elliot K. Fishman, Satomi Kawamoto

“…The models’ performance was assessed on an independent dataset of 36 patients. Significant differences, after correction for multiple testing, were observed in 69% of features in the pancreatic volume and 51% in the tumor volume with B20f and I26f kernels. …”
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Mapping Variability of Mycotoxins in Individual Oat Kernels from Batch Samples: Implications for Sampling and Food Safety by Irene Teixido-Orries, Francisco Molino, Bianca Castro-Criado, Monika Jodkowska, Angel Medina, Sonia Marín, Carol Verheecke-Vaessen

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Subclinical Left Ventricular Systolic Dysfunction in Patients with Septic Shock Based on Sepsis-3 Definition: A Speckle-Tracking Echocardiography Study by Pham Dang Hai, Le Lan Phuong, Nguyen Manh Dung, Le Thi Viet Hoa, Do Van Quyen, Nguyen Xuan Chinh, Vu Duy Minh, Pham Nguyen Son

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Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors by Md Abdullah Al Mehedi, Shah Saki, Krutikkumar Patel, Chaopeng Shen, Sagy Cohen, Virginia Smith, Adnan Rajib, Emmanouil Anagnostou, Tadd Bindas, Kathryn Lawson

“…Here, we developed and analyzed a continental‐scale n dataset (along with alternative formulations) calculated from observed velocity, slope, and hydraulic radius in 200,000 surveys conducted over 5,000 U.S. sites. …”
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