What trans-vaginal ultrasound parameters are better correlated with a shorter labor induction to vaginal delivery interval? A prospective observational cohort study by Serena Xodo, Maria De Martino, Giovanni Baccarini, Elisa Rizzante, Valentina Zanin, Stefania Liviero, Lisa Celante, Marta Angelini, Lorenza Driul

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Key prognostic risk factors linked to poor functional outcomes in cerebral venous sinus thrombosis: a systematic review and meta-analysis by Lili Lin, Senfeng Liu, Wei Wang, Xiao-kuo He, Muhammad Hibatullah Romli, Ruthpackiavathy Rajen Durai

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Persistent opioid use among patients who underwent intermediate-to-major elective surgery at a Swiss cantonal hospital: a prospective cohort study by Flavia Breitenmoser, Aaron Rixecker, Rahel Naef, Pascal Probst, Nils Horn, Markus K. Müller, Alexander Dullenkopf, JoEllen Welter

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Association of 5α-reductase inhibitor prescription with immunotherapy efficacy in metastatic renal cell carcinoma: a multicenter retrospective analysis by Lin Yang, Hai Huang, Qiong Wang, Peng Wu, Ke Chen, Weijia Li, Bisheng Cheng, Jilin Wu, Jianghua Yang, WenTai Shangguan, Wenxue Huang, Cunzhen Ma, Zhuohang Li, Boyuan Sun

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VEGF-A cis-located SNPs on human chromosome 6 associated with VEGF-A plasma levels and survival in a coronary disease cohort by J. C. Meza-Alvarado, A. P. Pilbrow, C. M. Frampton, V. A. Cameron, A. M. Richards, R. W. Troughton, R. N. Doughty, R. A. Page, B. Mallard, C. Bromhead, B. R. Palmer

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Matrix Metalloproteinases 7 and 10 Are Prognostic Biomarkers for Systemic Cardiovascular Risk in Individuals with Peripheral Artery Disease by Ben Li, Farah Shaikh, Houssam Younes, Batool Abuhalimeh, Abdelrahman Zamzam, Rawand Abdin, Mohammad Qadura

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Study on the Complexity Evolution of the Aviation Network in China by Shuolei Zhou, Cheng Li, Shiguo Deng

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Transforming departmental culture: Empowering a department through appreciative inquiry by Kerry K Robinson, Michele A Parker, Symphony D Oxendine

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THE DOMESTIC STOCK MARKET REQUIRES CHANGE by P. Akinin, V. Akinina, R. Bolatchieva

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Comparison of Bar Formation Mechanisms. II. Does a Tidally Induced Bar Grow Faster than an Internally Developed Bar? by Yirui Zheng, Juntai Shen, Xufen Wu, Bin-Hui Chen

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Leveraging Diverse Cell-Death Patterns to Decipher the Interactive Relation of Unfavorable Outcome and Tumor Microenvironment in Breast Cancer by Yue Li, Ting Ding, Tong Zhang, Shuangyu Liu, Jinhua Wang, Xiaoyan Zhou, Zeqi Guo, Qian He, Shuqun Zhang

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Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation by D. Gilboa, Akhil Garg, M. Shapiro, M. Meseguer, Y. Amar, N. Lustgarten, N. Desai, T. Shavit, V. Silva, A. Papatheodorou, A. Chatziparasidou, S. Angras, J. H. Lee, L. Thiel, C. L. Curchoe, Y. Tauber, D. S. Seidman

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A Multicomponent Strategy to Improve HIV Pre-Exposure Prophylaxis in a Southern US Jail: Protocol for a Type 3 Hybrid Implementation-Effectiveness Trial by Ank E Nijhawan, Jana Kholy, Julia L Marcus, Timothy P Hogan, Robin T Higashi, Jacqueline Naeem, Laura Hansen, Brynn Torres, Barry-Lewis Harris, Song Zhang, Douglas Krakower

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Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

“…In addition, training on this benchmark dataset proposes an improved feeding intensity evaluation network, which achieves a good balance in prediction accuracy and parameter memory and offers the possibility of subsequent deployment of the model on mobile. …”
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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects by Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi

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Dissecting the link between PD-1/PD-L1-based immunotherapy and cancer pain: mechanisms, research implications, and artificial intelligence perspectives by Marco Cascella, Brigida Miranda, Carmen Gagliardi, Lucia Santaniello, Milena Mottola, Alida Mancusi, Laura Ferrara, Federica Monaco, Francesca Gargano, Francesco Perri, Alessandro Ottaiano, Maurizio Capuozzo, Ornella Piazza, Stefano Pepe, Anna Crispo, Agostino Guida, Giovanni Salzano, Giustino Varrassi, Luigi Liguori, Francesco Sabbatino, The TRIAL Group

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Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications by Yiheng Ding, Ziqiang Wei, Chaoyun Wang, Xinyue Li, Bingbing Li, Xueting Liu, Zhijie Fu, Hongwei Mo, Hong Zhang

“…In contrast, the Swin transformer showed single-model (macular), single-model (optic disk), and multimodel average accuracies of 82.25%, 74.936%, and 85.06%, respectively, for predicting hypertension.ConclusionThe changes caused by hypertension on the fundus vessels can be observed more accurately and efficiently using OCTA image features through deep learning. …”
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Analyse de l’impact du conformisme social sur l’adoption de l’e-learning dans un pays en développement by Novice Patrick Bakehe, Jules Mandeng Ma Ntamack, Roukiya Hassan

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Important factors for the entrepreneurship in Central Europe by Ján Dvorský, Zora Petráková, Gentjan Çera, Andrea Folvarčna

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Important factors for the entrepreneurship in Central Europe by Ján Dvorský, Zora Petráková, Gentjan Çera, Andrea Folvarčna

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