Results 51 to 60 of about 1,700,598 (262)
Drug Design, Development and Therapy, 2020 Farid Badria,1 Eman Mazyed2 1Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt; 2Department of Pharmaceutical Technology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, EgyptCorrespondence: Eman MazyedDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Kafrelsheikh University, POB 33516 ...
Badria,Farid, Mazyed,Eman
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
Modeling Topics in DFA-Based Lemmatized Gujarati Text
Sensors, 2023 Topic modeling is a machine learning algorithm based on statistics that follows unsupervised machine learning techniques for mapping a high-dimensional corpus to a low-dimensional topical subspace, but it could be better.
Uttam Chauhan +9 more
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Fighting PTSD with Horses [PDF]
, 2020 After determining my research topic, the effects of therapeutic riding in treating mental disorders, I volunteered at a therapeutic riding center throughout the semester.
Fletcher, Gillian
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
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Exploring pre-service teachers' understanding of statistical variation: Implications for teaching and research [PDF]
, 2007 Concerns about the importance of variation in statistics education and a lack of research in this topic led to a preliminary study which explored pre-service teachers’ ideas in this area.
Sharma, Sashi
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Latent Topic Text Representation Learning on Statistical Manifolds [PDF]
, 2018 The explosive growth of text data requires effective methods to represent and classify these texts. Many text learning methods have been proposed, like statistics-based methods, semantic similarity methods, and deep learning methods. The statistics-based
Chen, H, Cohn, AG, Jiang, B, Li, Z
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FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
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From A to Z: Asymptotic expansions by van Zwet [PDF]
, 1999 Refinements of first-order asymptotic results are reviewed, with a number of Ph.D. projects supervised by van Zwet serving as stepping stones. Berry-Esseen bounds and Edgeworth expansions are discussed for $R$-, $L$- and $U$-statistics.
Albers, W.
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Anomaly Detection by Robust Statistics
, 2017 Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential.
Hubert, Mia, Rousseeuw, Peter J.
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