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1,937 results on '"Dong, Wen"'

76. Temporal and spatial variations of disinfection by-products in South Taihu's drinking water, Zhejiang Province, China

Author

Tao Liu, Min Zhang, Dong Wen, Yun Fu, Jianhua Yao, Guojian Shao, and Zhang Peng

Subjects
dbps, drinking water, influencing factors, taihu, Public aspects of medicine, RA1-1270
Abstract

Some disinfection by-products (DBPs) in drinking water present a potential safety concern. This study focuses on the elements influencing DBPs formation. A total of 120 water samples were collected from 10 different drinking water facilities spanning 5 counties within Huzhou, Zhejiang Province, China. Concentrations of trihalomethanes (THMs) and haloacetic acids (HAAs) were observed to be 14.5 and 27.4 μg/L, respectively, constituting 34 and 64% of the total DBPs. Seasonal fluctuations demonstrated that HAAs, THMs, halonitromethanes (HNMs), and haloacetonitriles (HANs) followed a similar pattern with higher levels in summer or autumn compared to spring. Importantly, the concentrations of HAAs and THMs were markedly higher in Taihu-sourced water compared to other sources. Geographically, Nanxun exhibited the highest levels of total DBPs, HAAs, and THMs, while Deqing and Changxing demonstrated significantly lower levels. Correlation studies between water quality parameters and DBPs revealed that factors such as chloride content, temperature, and residual chlorine positively influenced DBPs formation, whereas turbidity negatively affected it. Principal component analysis suggested similar formation processes for HANs, haloketones (HKs), HNMs, and THMs. Factors such as temperature, chemical oxygen demand (COD), and residual chlorine were identified as significant contributors to the prevalence of HAAs. HIGHLIGHTS Twenty classes of DBPs and eight kinds of water quality parameters were monitored.; The impacts of water source and season were different between DBP species.; The temperature and COD played important roles in HAAs occurrence.;

Published
2023
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77. Modified hindfoot alignment radiological evaluation and application in the assessment of flatfoot

Author

Jing-Qi Liang, Yan Zhang, Liang Liu, Xiao-Dong Wen, Pei-Long Liu, Xin-Quan Yang, Xiao-Jun Liang, and Hong-Mou Zhao

Subjects
Hindfoot alignment, Radiology measurement, Flatfoot, Diseases of the musculoskeletal system, RC925-935
Abstract

Abstract Background Alignment is indispensable for the foot and ankle function, especially in the hindfoot alignment. In the preoperative planning of patients with varus or valgus deformity, the precise measurement of the hindfoot alignment is important. A new method of photographing and measuring hindfoot alignment based on X-ray was proposed in this study, and it was applied in the assessment of flatfoot. Methods This study included 28 patients (40 feet) with flatfeet and 20 volunteers (40 feet) from January to December 2018. The hindfoot alignment shooting stand independently designed by our department was used to take hindfoot alignment X-rays at 10 degree, 15 degree, 20 degree, 25 degree, and 30 degree. We measured the modified tibio-hindfoot angle (THA) at the standard hindfoot aligment position (shooting at 20 degree) and evaluated consistency with the van Dijk method and the modified van Dijk method. In addition, we observed the visibility of the tibiotalar joint space from all imaging data at five projection angles and evaluated the consistency of the modified THA method at different projection angles. The angle of hindfoot valgus of flatfoot patients was measured using the modified THA method. Results The mean THA in the standard hindfoot aligment view in normal people was significantly different among the three evaluation methods (P

Published
2023
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78. TDM: Trustworthy Decision-Making via Interpretability Enhancement

Author

Lyu, Daoming, Yang, Fangkai, Kwon, Hugh, Dong, Wen, Yilmaz, Levent, and Liu, Bo

Subjects
Computer Science - Machine Learning
Abstract

Human-robot interactive decision-making is increasingly becoming ubiquitous, and trust is an influential factor in determining the reliance on autonomy. However, it is not reasonable to trust systems that are beyond our comprehension, and typical machine learning and data-driven decision-making are black-box paradigms that impede interpretability. Therefore, it is critical to establish computational trustworthy decision-making mechanisms enhanced by interpretability-aware strategies. To this end, we propose a Trustworthy Decision-Making (TDM) framework, which integrates symbolic planning into sequential decision-making. The framework learns interpretable subtasks that result in a complex, higher-level composite task that can be formally evaluated using the proposed trust metric. TDM enables the subtask-level interpretability by design and converges to an optimal symbolic plan from the learned subtasks. Moreover, a TDM-based algorithm is introduced to demonstrate the unification of symbolic planning with other sequential-decision making algorithms, reaping the benefits of both. Experimental results validate the effectiveness of trust-score-based planning while improving the interpretability of subtasks.

Published
2021
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