Nephrology Worldwide 2021
DOI: 10.1007/978-3-030-56890-0_20
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Nephrology in China

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Cited by 6 publications
(9 citation statements)
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References 176 publications
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“…However, in Chinese hospitals, access to advanced specialized training is often limited. 55 To overcome these challenges, healthcare institution managers should prioritize specialized training for medical personnel. Thus, the study highlights the need for an integrated approach that considers the unique perspectives and contributions of both doctors and nurses in the realm of DKD management, aiming to bridge the gap in clinical practice for optimized patient outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…However, in Chinese hospitals, access to advanced specialized training is often limited. 55 To overcome these challenges, healthcare institution managers should prioritize specialized training for medical personnel. Thus, the study highlights the need for an integrated approach that considers the unique perspectives and contributions of both doctors and nurses in the realm of DKD management, aiming to bridge the gap in clinical practice for optimized patient outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Donor grafts were allocated by the Organ Procurement Organization through the China Organ Transplant Response System, which is an encrypted national network run electronically to ensure fairness and transparency in the organ allocation process. 28,29 Except for the general organ allocation principles, the following priorities were adopted for pediatric recipients: (1) kidneys from donors aged <2 y were allocated preferentially to <5-y-old recipients; (2) kidneys from ≥2- and <7-y-old donors were allocated preferentially to <14-y-old recipients; (3) kidneys from ≥7- and <18-y-old donors were allocated preferentially to <18-y-old recipients. 30 Pediatric kidneys for transplantation were treated as national rather than only local or regional resources for pediatric recipients.…”
Section: Methodsmentioning
confidence: 99%
“…A model-based IR approach, where docids are embedded into the model, was first introduced in (Metzler et al, 2021;Tay et al, 2022). Since then, several other models (Wang et al, 2022;Zhuang et al, 2022;Zhou et al, 2022b) incorporating a query augmentation module have been developed to enhance the performance. Moreover, the model-based IR framework has been extended to knowledge-intensive language tasks, leading to notable improvements in performance (Chen et al, 2022a;Bevilacqua et al, 2022;Chen et al, 2022b).…”
Section: Related Workmentioning
confidence: 99%
“…Building upon DSI, SEAL (Bevilacqua et al, 2022) uses n-grams within passages as potential identifiers. DSI-QG (Zhuang et al, 2022), NCI (Wang et al, 2022), and Ultron (Zhou et al, 2022b) incorporate query generation modules for data augmentation.…”
Section: Baselinesmentioning
confidence: 99%