2026
article
OpenAlex
Yunjing Wang, Cong Wang, Xiaoyu Han, Jiayuan Ji et autres
cn, jp
(code pays fourni par la source)
2026
article
OpenAlex
Yu Wang, Yuyang Han, Jiayuan Ji, Fei Xu
Abstract In this work, fluorine-containing polybenzimidazole (6FPBI) and a benzimidazole-based guanidinium salt (TMG/BIM) were synthesized, and the composite membranes, denoted as 6FPBI-X, were subsequently prepared by incorporating TMG/BIM into the 6FPBI matrix. Compared to the pristine 6FPBI membrane, the incorporation of TMG/BIM …
cn
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Qingkang Zeng, Ryoya Watanabe, Juntong Ha, Tsunehisa Tanaka et autres
To fill the research gap in two-phase anaerobic digestion (TPAD) of rice straw, this study assessed the performance of a thermophilic–mesophilic TPAD system over 180 days in terms of methane production, energy balance, and microbial community structure and compared it with a …
jp
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Yong Zu, Jiayuan Ji, S S Chen, Zhixi Feng
Modern wastewater treatment plants (WWTPs) face challenges from increasing influent loads, strict regulations, and operational volatility. Existing machine learning and deep learning models often rely on single-target point predictions and fail to capture multivariate, temporally coupled, multi-step dynamics, while also underutilizing heterogeneous …
cn, jp
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Jiayuan Ji, Akinori Shimizu, Tatsuya Okubo, Yuichiro Kanematsu et autres
Abstract Effective implementation of municipal sludge treatment technologies requires systematic evaluation across environmental, economic, and technical dimensions under site-specific constraints. This study develops a modeling framework to compare alternative sludge treatment technology combinations at municipal wastewater treatment plants (WWTPs). A total of …
jp
(code pays fourni par la source)
Accès ouvert
2026
review
OpenAlex
Jiayuan Ji, Teng Cui, Kai Dang, Yi Zhou et autres
Background: Recurrence of kidney stone disease (KSD) remains a significant challenge in current clinical practice. There is a paucity of systematic evidence of independent risk factors and performance of early prediction models for KSD recurrence. Hence, this paper intended to systematically evaluate …
cn
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Teng Cui, Yang Yang, Dirk Lange, Xiangyu Wang et autres
BACKGROUND: The incidence and recurrence rate of nephrolithiasis have been increasing annually. Recent evidence highlights a close association between the composition and function of the gut microbiome and the occurrence and recurrence of kidney stones. We performed a multi-omic study to investigate …
cn
(code pays fourni par la source)
Accès ouvert
2026
other
OpenAlex
T X Cui, Yang Yang, Dirk Lange, Xiangyu Wang et autres
Abstract Background The incidence and recurrence rate of nephrolithiasis have been increasing annually. Recent evidence highlights a close association between the composition and function of the gut microbiome and the occurrence and recurrence of kidney stones. We performed a multi-omic study to …
cn, ca
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
T X Cui, Yang Yang, Dirk Lange, Xiangyu Wang et autres
Supplementary material 1.
cn, ca
(code pays fourni par la source)
Accès ouvert
2026
other
OpenAlex
T X Cui, Yang Yang, Dirk Lange, Xiangyu Wang et autres
Abstract Background The incidence and recurrence rate of nephrolithiasis have been increasing annually. Recent evidence highlights a close association between the composition and function of the gut microbiome and the occurrence and recurrence of kidney stones. We performed a multi-omic study to …
cn, ca
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
T X Cui, Yang Yang, Dirk Lange, Xiangyu Wang et autres
Supplementary material 1.
cn, ca
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Junjie Yu, Zhonghua Zheng, Jialing Ni, Jiayuan Ji
Machine learning (ML) is a promising approach for anaerobic membrane bioreactor (AnMBR) modeling. However, its complexity poses challenges for researchers who lack expertise in ML. To address the challenges of model selection and hyperparameter optimization in ML, we employed automated machine learning …
gb, jp
(code pays fourni par la source)