Article
Chemistry, Multidisciplinary
Hong Zhang, Lizhuang Yang, Haozhi Wang, Bingfeng Cui, Jingxian Wang, Xiaopeng Han, Wenbin Hu
Summary: This study introduces a bulk-phase composite Zn/CNTs anode fabricated by a powder-metallurgy-based strategy, which effectively suppresses dendritic growth and enhances corrosion resistance. The anode demonstrates improved cycling stability and rate performance, providing insights for optimizing metallic anodes.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Jiaxian Zheng, Zihao Huang, Fangwang Ming, Ye Zeng, Binbin Wei, Qiu Jiang, Zhengbing Qi, Zhoucheng Wang, Hanfeng Liang
Summary: In this review, the potential and issues of rechargeable zinc-ion batteries are discussed. The focus is on improving the surface and interface properties of the zinc anode through strategies such as designing and applying zinc anode supports and surface protective layers. Recent progress and promising research directions are also presented.
Article
Electrochemistry
Yuejiao Chen, Qiwen Zhao, Yunyun Wang, Wen Liu, Piao Qing, Libao Chen
Summary: A facile and effective strategy of decorating zinc surface with copper alloy layer has been developed to mitigate Zn dendritic growth, leading to enhanced cycling stability and potential applications of ZIBs.
ELECTROCHIMICA ACTA
(2021)
Article
Chemistry, Multidisciplinary
Kuo Wang, Qianrui Li, Guoli Zhang, Shuo Li, Tong Qiu, Xiao-Xia Liu, Xiaoqi Sun
Summary: Researchers have introduced a low concentration of 3-aminobenzenesulfonic acid additive into zinc electrolyte, regulating the interface environment on the zinc electrode and extending the lifespan of symmetric zinc cells to over 1100 hours. The additive forms a stable solid-electrolyte interphase and allows for higher depth of discharge and cycle life.
Review
Chemistry, Inorganic & Nuclear
Chengyao Zhu, Pengzhou Li, Guiying Xu, Hui Cheng, Guo Gao
Summary: Recently, aqueous Zn-ion batteries (ZIBs) have gained attention as potential energy storage devices due to their high safety, low cost, high volumetric capacity, and environmental friendliness. However, the challenges of Zn anodes in aqueous ZIBs need to be addressed. This review discusses the sources of dendrites growth and side reactions of Zn anodes and explores various strategies for modifying Zn anodes. It also highlights the action mechanisms and modification design of different materials, including carbon-based materials, metals, polymers, and metal-organic frameworks, for enhancing the performance of Zn anodes in aqueous ZIBs.
COORDINATION CHEMISTRY REVIEWS
(2023)
Review
Chemistry, Physical
Jianhang Huang, Xuan Qiu, Nan Wang, Yonggang Wang
Summary: The development of zinc batteries is booming due to the increasing demand for large-scale energy storage systems to integrate renewable energy into the power grid. However, commercialization of aqueous zinc batteries still faces challenges such as parasitic reactions, zinc dendrite formation, and cathode material dissolution. Understanding the Zn2+ storage mechanism and challenges of electrode materials and aqueous electrolytes, as well as actively discussing solutions for commercialization, are the key points of current research.
CURRENT OPINION IN ELECTROCHEMISTRY
(2021)
Article
Chemistry, Multidisciplinary
Yan Xu, Xinhua Zheng, Jifei Sun, Weiping Wang, Mingming Wang, Yuan Yuan, Mingyan Chuai, Na Chen, Hanlin Hu, Wei Chen
Summary: A nucleophilic interfacial layer (NIL) was developed to achieve a stable Zn anode for aqueous Zn batteries, resulting in improved performance and extended lifespan.
Article
Multidisciplinary Sciences
Jindi Wang, Bao Zhang, Zhao Cai, Renming Zhan, Wenyu Wang, Lin Fu, Mintao Wan, Run Xiao, Yangtao Ou, Li Wang, Jianjun Jiang, Zhi Wei Seh, Hong Li, Yongming Sun
Summary: In this work, conformal growth of zinc hydroxide sulfate (ZHS) was achieved on Zn metal foil through a thermal annealing process, improving Zn2+ conductivity and forming a beneficial SEI layer on the Zn electrode. The achieved Zn electrode exhibited remarkable cycling stability and high efficiency, showcasing potential for practical application in energy storage systems.
Article
Materials Science, Multidisciplinary
Z. He, F. Xiong, S. Tan, X. Yao, C. Zhang, Q. An
Summary: Iron metal anode has potential in battery applications, but challenges such as passivation, parasitic hydrogen evolution reaction, and low plating efficiency need to be addressed. Recent progress in developing high-performance iron metal anodes through strategies like electrode additives, electrolyte modification, and nanoarchitecture has been made.
MATERIALS TODAY ADVANCES
(2021)
Review
Chemistry, Multidisciplinary
Mingming Han, Daru Chen, Qiongqiong Lu, Guozhao Fang
Summary: This review focuses on the characteristics, issues, and optimization strategies of static aqueous rechargeable Zn-Iodine batteries (ARZiBs). The energy storage mechanism and fundamental issues of ARZiBs are clarified, and recent progress in cathode fabrication, electrolyte modulation, and separator/anode modification is summarized. The review also provides future research outlook to guide the rational design of advanced ARZiBs.
Article
Chemistry, Physical
Jingyi Ding, Honglin Du, Guohong Cai, Shizhi Huang, Chengyuan Peng, Lulu Wang, Junrong Luo, Xusheng Wang, Mianqi Xue, Xinxiang Zhang, Junliang Sun, Jitao Chen
Summary: Rechargeable aqueous Zn-MnO2 batteries are promising for large-scale energy storage, but the issues of phase transition and structural collapse of MnO2 cathodes still exist. Intercalation of layered MnO2 has become the mainstream strategy, but the characteristics of Mn octahedral layers are often neglected. In this study, the researchers elucidate the impact of layer symmetry on the electrochemical performance of birnessites. The hexagonal birnessite with stabilized Mn(II) ions exhibits better charge storage performance than its monoclinic precursor, due to the generation of layer cation vacancies, interlayer Mn(II) ions, and nanosized morphology. The work provides a new approach for designing high-performance layered cathode materials.
Article
Chemistry, Physical
Wei Wang, Pengjian Zuo, Geping Yin, Chunyu Du, Hua Huo, Yulin Ma, Yunzhi Gao
Summary: By using the Ga-In-Sn-Zn solid-liquid composite (SLC) to construct the SLC-2 electrode, stable and dendrite-free zinc deposition can be achieved, improving the cycle stability of zinc batteries.
ENERGY STORAGE MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Ze He, Jiawei Guo, Fangyu Xiong, Shuangshuang Tan, Yixu Yang, Ruyue Cao, Greta Thompson, Qinyou An, Michael De Volder, Liqiang Mai
Summary: This article introduces improvements made to the Daniell cell to make it rechargeable, including the use of ion exchange membranes as alternatives to salt bridges. These improvements result in increased energy density of the Daniell cell and allow for easy recycling and scalability to higher capacity cells.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Gaurav M. Thorat, Van-Chuong Ho, Junyoung Mun
Summary: Due to its low cost and high safety, metallic zinc has attracted attention as an anode material for zinc aqueous batteries (ZIBs). However, the instability of Zn metal limits the implementation of ZIBs. This study proposes a stable electrolyte based on zinc chloride/ethylene glycol deep eutectic solvent (DES) that allows safe and reversible Zn plating/stripping, resulting in a two-fold increase in cycling life compared to conventional aqueous electrolytes.
FRONTIERS IN CHEMISTRY
(2022)
Article
Chemistry, Physical
Huibing He, Hongyu Qin, Jia Wu, Xingfa Chen, Renshu Huang, Fang Shen, Zhenrui Wu, Guoning Chen, Shibin Yin, Jian Liu
Summary: This article discusses the electrochemistry of zinc, the degradation mechanism of zinc anodes, and the surface engineering strategies to address zinc dendrite issues. It summarizes the mechanisms of different coating materials, and proposes a design principle for an ideal interface layer on the zinc metal.
ENERGY STORAGE MATERIALS
(2021)
Article
Oncology
Jiandong Zhou, Ishan Lakhani, Oscar Chou, Keith Sai Kit Leung, Teddy Tai Loy Lee, Michelle Vangi Wong, Zhen Li, Abraham Ka Chung Wai, Carlin Chang, Ian Chi Kei Wong, Qingpeng Zhang, Gary Tse, Bernard Man Yung Cheung
Summary: Cancer patients with COVID-19 have a significantly higher risk of intubation, ICU admission, and/or mortality due to the immunosuppressant effect of cancer treatments and frequent hospital admissions.
Article
Rheumatology
Shaozhe Cai, Ziwei Hu, Yu Chen, Yuxue Chen, Bingxia Ming, Rongfen Gao, Zhen Li, Cong Ye, Jixin Zhong, Lingli Dong
ANNALS OF THE RHEUMATIC DISEASES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping Liang, Guanjie Yuan, Shichao Li, Yang Peng, Chuou Xu, Thomas Benkert, Daoyu Hu, Min Han, Zhen Li
Summary: This study aimed to investigate the application of multiparametric magnetic resonance imaging (MRI) in assessing renal function, Oxford classification, and prognostic risk of IgA nephropathy (IgAN) patients. The results showed that MRI parameters could differentiate between patients and healthy volunteers, evaluate the correlations among different pathological features, and predict the prognostic risk of patients.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Chemistry, Physical
Huangwei Zhang, Yun Zhong, Jianbo Li, Yaqi Liao, Jialiu Zeng, Yue Shen, Lixia Yuan, Zhen Li, Yunhui Huang
Summary: Using 1-butyl-3-methylimidazolium cation (BMIm(+) ion) as an electrolyte additive can effectively induce the preferential growth of (002) plane and inhibit the formation of Zn dendrites.
ADVANCED ENERGY MATERIALS
(2023)
Article
Oncology
Kangwen He, Yucong Zhang, Shichao Li, Guanjie Yuan, Ping Liang, Qingpeng Zhang, Qingguo Xie, Peng Xiao, Heng Li, Xiaoyan Meng, Zhen Li
Summary: This study investigated the incremental prognostic value of preoperative apparent diffusion coefficient (ADC) histogram analysis in patients with high-risk prostate cancer (PCa) who received adjuvant hormonal therapy (AHT) after radical prostatectomy (RP). The results showed that ADC histogram analysis has incremental prognostic value in predicting biochemical recurrence-free survival (BCR-fs) and combining ADC parameters with clinical parameters can improve the accuracy of BCR-fs prediction.
FRONTIERS IN ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qiuhan Huang, Baodi Deng, Yanchun Wang, Yaqi Shen, Xuemei Hu, Cui Feng, Zhen Li
Summary: This study explored the feasibility of a model combining rFOV DWI-derived radiomics with clinical features in staging CC. A clinical-radiomics model was constructed by extracting radiomics features from ADC maps and selecting key features. The results showed that the clinical-radiomics model had the highest predictive performance in staging CC.
INSIGHTS INTO IMAGING
(2023)
Article
Oncology
Qinyu Li, Yucong Zhang, Man Liu, Heng Li, Wei Guan, Xiaoyan Meng, Zhiquan Hu, Zhihua Wang, Shaogang Wang, Zhen Li, Jihong Liu, Zheng Liu
Summary: This study aims to identify new parameters for predicting outcomes after robot-assisted partial nephrectomy (RPN) by using three-dimensional reconstruction of preoperative enhanced computerized tomography (CT). The study found that a larger tumor bed area (TBA) was associated with longer warm ischemia time (WIT) and tumor resection time as well as elevated postoperative creatinine. TBA and distance from the tumor to the first bifurcation of the renal artery (DTA) were independent risk factors for prolonged WIT, and the combination of TBA, DTA, and RENAL score had a higher predictive effect for WIT compared to the RENAL score alone.
FRONTIERS IN ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Peng, Jiali Li, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li, Ihab Kamel
Summary: This study aimed to explore the feasibility of using chemical shift-encoded magnetic resonance imaging (CSE-MRI) and diffusion-weighted imaging (DWI) to predict the histopathological features of rectal adenocarcinoma. The results demonstrated that CSE-MRI can quantitatively assess the histopathological features of rectal adenocarcinoma and has good diagnostic ability.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Biotechnology & Applied Microbiology
Yang Peng, Xianlun Zou, Gen Chen, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li
Summary: This study investigated the relationship between IDEAL-IQ/amide proton transfer MRI parameters and histopathological factors of rectal cancer. The results showed significant differences in PDFF, R2*, and MTRasym (3.5 ppm) based on different tumor stages, lymph node metastasis, tumor grade, and MRF and EMVI status. The MR parameters were positively correlated with histopathological features of rectal cancer. PDFF exhibited a higher diagnostic ability compared to MTRasym (3.5 ppm) in distinguishing metastatic from non-metastatic lymph nodes.
BIOENGINEERING-BASEL
(2023)
Article
Computer Science, Information Systems
Ping Liang, Jiannan Yang, Weilan Wang, Guanjie Yuan, Min Han, Qingpeng Zhang, Zhen Li
Summary: Early diagnosis and prediction of CKD progress are crucial for personalized treatment and improving patients' quality of life. This study explores the intelligibility of machine learning and deep learning models for ESRD prediction in CKD patients. The deep learning model achieves high accuracy and provides intelligible insights into CKD progression. This study provides solid data-driven evidence for using machine learning in CKD clinical management and treatment.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Cybernetics
Zhongzhi Xu, Weibin Cheng, Zhen Li, Gary Tse, Fengshi Jing, Wanmin Lian, Junzhang Tian, Qingpeng Zhang
Summary: This study aimed to develop a scoring system for mass screening of low bone density in women aged 50 years or older using basic body check-up items as variables. Age, BMI, SBP, glucose, and TCL were significantly associated with the risk of LBD, and the proposed scoring system had precision, recall, c-statistic, and F1-score of 0.66, 0.83, 0.73, and 0.74 respectively. Artificial neural networks showed better performance in all measurements.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Peng, Jiali Li, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li, Ihab Kamel
Summary: This study investigated the feasibility of using CSE-MRI and DWI to predict the histopathological features of rectal adenocarcinoma. The results showed that CSE-MRI can be used as a noninvasive biomarker for assessing the histopathological features of rectal adenocarcinoma, and it has better diagnostic performance than ADC.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shichao Li, Zhouyan Liao, Kangwen He, Yaqi Shen, Shan Hu, Zhen Li
Summary: This study investigated the relationship between computed tomography (CT)-measured abdominal adipose tissue and the pathological grade of clear cell renal cell carcinoma (ccRCC). The results showed that the intermuscular fat index (IFI) was significantly higher in high-grade ccRCC patients compared to low-grade patients for both males and females. Other fat-related parameters were significantly lower in high-grade ccRCC male patients, but not in female patients. IFI was found to be a reliable independent predictor of high-grade ccRCC for both males and females.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shichao Li, Kangwen He, Guanjie Yuan, Xingwang Yong, Xiaoyan Meng, Cui Feng, Yi Zhang, Ihab R. Kamel, Zhen Li
Summary: ZOOMit DKI and CEST imaging can be valuable in predicting the WHO/ISUP grade and pathological T stage in ccRCC. Tumors with higher WHO/ISUP grades and pT stages tend to have lower ADC, MD, and S-sat (3.5 ppm)/S-0 values, while higher MK and MTRasym (3.5 ppm) values. The combination of MTRasym (3.5 ppm) and MD showed the best diagnostic performance for WHO/ISUP grading.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ziling Zhou, Ziman Xiong, Ran Cheng, Qingyu Luo, Yuanqiu Li, Qingguo Xie, Peng Xiao, Daoyu Hu, Xuemei Hu, Yaqi Shen, Zhen Li
Summary: This study investigates the effectiveness of volumetric visceral adipose tissue (VAT) features extracted using radiomics and a three-dimensional convolutional neural network (3D-CNN) approach in differentiating Crohn's disease (CD) and ulcerative colitis (UC). The results show that radiomics analysis with the least absolute shrinkage and selection operator (LASSO) had the highest AUC value, indicating its potential diagnostic value. The developed 3D-CNN model and radiomics analysis with principal component analysis (PCA) also showed comparable performance in characterizing CD and UC. Clinical covariates were adjusted in the models, and the LASSO model with adjustment of clinical covariates reached the highest AUC value.
EUROPEAN RADIOLOGY
(2023)
