Contradictory Effect of Lymphocyte Therapy and Prednisolone Therapy on CD3+CD8+CD56+ Natural Killer T Population in Women with Recurrent Spontaneous Abortion by Fatemeh Rezayat, Nafiseh Esmaeil, Abbas Rezaei, Roya Sherkat

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Third or fourth branchial pouch sinus lesions: a case series and management algorithm by Yun Li, Kexing Lyu, Yihui Wen, Yang Xu, Fanqin Wei, Haocheng Tang, Siyu Chen, Zhangfeng Wang, Xiaolin Zhu, Weiping Wen, Wenbin Lei

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Confocal Microscopy for Detection of Intracellular Bacteria in Urine Samples of patients Suspected with Urinary Tract Infection: A Cross-sectional Observational Study by Bhagyashri Patil-Takbhate, Nilam Memane, Srikanth Tripathy, Nageswari Gandham, Shahzad Mirza

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Spring reproductive success influences autumnal malarial load in a passerine bird by Pigeault, Romain, Cozzarolo, Camille-Sophie, Wassef, Jérôme, Gremion, Jérémy, Bastardot, Marc, Glaizot, Olivier, Christe, Philippe

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Features of the course of post-COVID-19 primary and recurrent herpetic keratitis by G.I. Drozhzhyna, K.V. Sereda, N.I. Khramenko

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Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction by Fayrouz Allam

Subjects: “…Recurrent neural network…”
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Multi-node cooperation based robust visible light intelligent positioning by Sicong LIU, Danping SU, Tiankuo WEI, Xianyao WANG

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Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm by Juntao Chen, Mingjin Fan

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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

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Use of Attention Maps to Enrich Discriminability in Deep Learning Prediction Models Using Longitudinal Data from Electronic Health Records by Lucía A. Carrasco-Ribelles, Margarita Cabrera-Bean, Jose Llanes-Jurado, Concepción Violán

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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

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R-CNN Based Vehicle Object Detection via Segmentation Capabilities in Road Scenes by Bisma Riaz Chughtai, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Jeongmin Park

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Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems by Shiva Kumar, Mahmoud M. T. Maghrabi, Mohamed H. Bakr, Toshihiko Hirooka, Masataka Nakazawa

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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

Subjects: “…recurrent neural networks…”
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Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance by Sarfaraz Natha, Fareed Ahmed, Mohammad Siraj, Mehwish Lagari, Majid Altamimi, Asghar Ali Chandio

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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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Ablation Depth-Dependent Survival Analysis of Phototherapeutic Keratectomy for Recurrent Corneal Erosion Syndrome by Kunal A. Gadhvi, Georgios Vakros, Alfredo Borgia, Kirithika Muthusamy, Laura de Benito-Llopis, Alexander C. Day, Daniel M. Gore

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Efficacy of PARPi re-maintenance therapy for recurrent ovarian cancer by Yulin Wang, Yunjie Yang, Binghong Guo, Binghong Guo, Xiaoyan Li, Renakezi Tuersun, Ye Cao, Jundong Li, Jihong Liu, Su Li, Tao Liu, Yongwen Huang

Subjects: “…recurrent ovarian cancer…”
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CURRENT POSSIBILITIES OF MAGNETIC – RESONANCE IMAGING IN DETECTION OF OVARIAN CANCER by N. A. Rubtsova, E. G. Novikova, I. Yu. Sychenkova

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The natural immune molecules urinary Tamm–Horsfall protein and pentraxin 3 as predictors for recurrent urinary tract infection severity: a single-center self-control study by Zongping Li, Yingru Xu, Qian Wang, Gang Yuan, Jing Shu, Shiwei Liu, Xuezhong Gong

Subjects: “…Recurrent urinary tract infection…”
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