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Article ; Online: Ni Single-Atom Bual Catalytic Electrodes for Long Life and High Energy Efficiency Zinc-Iodine Batteries.

Qu, Wentao / Zhu, Jian / Cao, Guozhong / Chen, Shulin / Tan, Yongwen / Chen, Baohui / Zhang, Ming

Small (Weinheim an der Bergstrasse, Germany)

2024 , Page(s) e2310475

Abstract: Zinc-iodine batteries (Zn-I2) are extremely attractive as the safe and cost-effective scalable energy storage system in the stationary applications. However, the inefficient redox kinetics and "shuttling effect" of iodine species result in unsatisfactory ...

Abstract	Zinc-iodine batteries (Zn-I2) are extremely attractive as the safe and cost-effective scalable energy storage system in the stationary applications. However, the inefficient redox kinetics and "shuttling effect" of iodine species result in unsatisfactory energy efficiency and short cycle life, hindering their commercialization. In this work, Ni single atoms highly dispersed on carbon fibers is designed and synthesized as iodine anchoring sites and dual catalysts for Zn-I2 batteries, and successfully inhibit the iodine species shuttling and boost dual reaction kinetics. Theoretical calculations indicate that the reinforced d-p orbital hybridization and charge interaction between Ni single-atoms and iodine species effectively enhance the confinement of iodine species. Ni single-atoms also accelerate the iodine conversion reactions with tailored bonding structure of I─I bonds and reduced energy barrier for the dual conversion of iodine species. Consequently, the high-rate performance (180 mAh g
Language	English
Publishing date	2024-01-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2168935-0
ISSN	1613-6829 ; 1613-6810
ISSN (online)	1613-6829
ISSN	1613-6810
DOI	10.1002/smll.202310475
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Book ; Online: A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling

Qu, Wentao / Shao, Yuantian / Meng, Lingwu / Huang, Xiaoshui / Xiao, Liang

2023

Abstract: Point cloud upsampling (PCU) enriches the representation of raw point clouds, significantly improving the performance in downstream tasks such as classification and reconstruction. Most of the existing point cloud upsampling methods focus on sparse point ...

Abstract	Point cloud upsampling (PCU) enriches the representation of raw point clouds, significantly improving the performance in downstream tasks such as classification and reconstruction. Most of the existing point cloud upsampling methods focus on sparse point cloud feature extraction and upsampling module design. In a different way, we dive deeper into directly modelling the gradient of data distribution from dense point clouds. In this paper, we proposed a conditional denoising diffusion probability model (DDPM) for point cloud upsampling, called PUDM. Specifically, PUDM treats the sparse point cloud as a condition, and iteratively learns the transformation relationship between the dense point cloud and the noise. Simultaneously, PUDM aligns with a dual mapping paradigm to further improve the discernment of point features. In this context, PUDM enables learning complex geometry details in the ground truth through the dominant features, while avoiding an additional upsampling module design. Furthermore, to generate high-quality arbitrary-scale point clouds during inference, PUDM exploits the prior knowledge of the scale between sparse point clouds and dense point clouds during training by parameterizing a rate factor. Moreover, PUDM exhibits strong noise robustness in experimental results. In the quantitative and qualitative evaluations on PU1K and PUGAN, PUDM significantly outperformed existing methods in terms of Chamfer Distance (CD) and Hausdorff Distance (HD), achieving state of the art (SOTA) performance.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Publishing date	2023-12-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Percutaneous radiofrequency ablation and endoscopic neurotomy for lumbar facet joint syndrome: are they good enough?

Du, Ruihuan / Gao, Jing / Wang, Bo / Zhang, Jing / Meng, Meng / Wang, Jingzuo / Qu, Wentao / Li, Zhonghai

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

2023 Volume 33, Issue 2, Page(s) 463–473

Abstract: Objective: Lumbar facet joint (LFJ) syndrome is one of the common causes of low back pain (LBP). There are different views on percutaneous and endoscopic radiofrequency. The purpose of this systematic review and meta-analysis is to explore the ... ...

Abstract	Objective: Lumbar facet joint (LFJ) syndrome is one of the common causes of low back pain (LBP). There are different views on percutaneous and endoscopic radiofrequency. The purpose of this systematic review and meta-analysis is to explore the therapeutic effect of radiofrequency ablation on LBP originating from LFJ and compare the therapeutic effect of percutaneous radiofrequency ablation and endoscopic neurotomy. Methods: We included randomized controlled trials which compared the efficiency of percutaneous radiofrequency ablation and conservative treatment (sham procedures, facet joint injection, physiotherapy, exercise, or oral medication) or compared the efficiency of percutaneous radiofrequency ablation and endoscopic neurotomy for LFJ syndrome. We searched in PubMed and Web of Science from inception to March 27, 2023. Meta-analysis was performed using RevMan 5.4 software. Results: A total of 11 randomized controlled trials were included. Among them, nine studies were used for evaluating efficiency of percutaneous radiofrequency ablation, and two studies were used for evaluating efficiency of endoscopic neurotomy. Pooled data from two studies reporting outcomes at 1 year did not show a benefit from facet joint denervation by comparing the percutaneous radiofrequency ablation and conservative treatment (standardized mean difference (SMD) = -0.87, 95% confidence interval (CI) [-2.10, 0.37], P = 0.17). There was no significant difference between percutaneous radiofrequency ablation and endoscopic neurotomy at 1-month follow-up (mean difference (MD) = -0.13, 95%CI [-0.18, -0.44], P = 0.41). At 12-month follow-up the pain relief in the endoscopic neurotomy was significantly better than that in the percutaneous radiofrequency ablation group (MD = 1.98, 95%CI [1.60, 2.36], P < 0 .0001). Conclusion: The LBP was significantly relieved shortly after percutaneous radiofrequency ablation. Compared with percutaneous radiofrequency ablation, endoscopic neurotomy seems to have a longer effect. A longer follow-up period is needed to confirm its effectiveness.
MeSH term(s)	Humans ; Low Back Pain/etiology ; Low Back Pain/surgery ; Zygapophyseal Joint/surgery ; Conservative Treatment ; Endoscopy ; Radiofrequency Ablation
Language	English
Publishing date	2023-12-23
Publishing country	Germany
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review
ZDB-ID	1115375-1
ISSN	1432-0932 ; 0940-6719
ISSN (online)	1432-0932
ISSN	0940-6719
DOI	10.1007/s00586-023-08078-5
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Jg. 1995 - 2021: Lesesall (2.OG)
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Book ; Online: GMF

Huang, Xiaoshui / Qu, Wentao / Zuo, Yifan / Fang, Yuming / Zhao, Xiaowei

General Multimodal Fusion Framework for Correspondence Outlier Rejection

2022

Abstract: Rejecting correspondence outliers enables to boost the correspondence quality, which is a critical step in achieving high point cloud registration accuracy. The current state-of-the-art correspondence outlier rejection methods only utilize the structure ... ...

Abstract	Rejecting correspondence outliers enables to boost the correspondence quality, which is a critical step in achieving high point cloud registration accuracy. The current state-of-the-art correspondence outlier rejection methods only utilize the structure features of the correspondences. However, texture information is critical to reject the correspondence outliers in our human vision system. In this paper, we propose General Multimodal Fusion (GMF) to learn to reject the correspondence outliers by leveraging both the structure and texture information. Specifically, two cross-attention-based fusion layers are proposed to fuse the texture information from paired images and structure information from point correspondences. Moreover, we propose a convolutional position encoding layer to enhance the difference between Tokens and enable the encoding feature pay attention to neighbor information. Our position encoding layer will make the cross-attention operation integrate both local and global information. Experiments on multiple datasets(3DMatch, 3DLoMatch, KITTI) and recent state-of-the-art models (3DRegNet, DGR, PointDSC) prove that our GMF achieves wide generalization ability and consistently improves the point cloud registration accuracy. Furthermore, several ablation studies demonstrate the robustness of the proposed GMF on different loss functions, lighting conditions and noises.The code is available at https://github.com/XiaoshuiHuang/GMF. Comment: Accepted by IEEE RAL
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2022-10-31
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Homogeneous Age-hardening of Large-sized Al-Sc Foams via Micro-alloying with Zr and Ti.

Chu, Xuming / Wang, Tianze / Yang, Donghui / Peng, Xiangyang / Hou, Shuo / Chen, Shuai / Lu, Guangyao / Jiao, Meiyuan / Wu, Yuan / Rempel, Andrey A / Qu, Wentao / Li, Hongxiang / Wang, Hui

Materials (Basel, Switzerland)

2024 Volume 17, Issue 6

Abstract: Al-based foams have drawn increasing attention from industry due to their integration of structure and functional properties. However, large-sized Al-based foams still cannot be homogeneously strengthened by long-time aging due to their low thermal ... ...

Abstract	Al-based foams have drawn increasing attention from industry due to their integration of structure and functional properties. However, large-sized Al-based foams still cannot be homogeneously strengthened by long-time aging due to their low thermal conductivity. In this study, we proposed an age-hardening approach that was applied in large-sized Al-0.16Sc-0.17Zr (wt.%) foams via micro-alloying with Zr and Ti compared with Al-0.21Sc foams; it not only achieved homogeneous strength by long-term aging but also reduced the cost of the alloy by substituting Zr and Ti for the more expensive Sc content. The results show that the Al
Language	English
Publishing date	2024-03-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17061269
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Two helices from one chiral centre - self organization of disc shaped chiral nanoparticles.

Yu, Huanan / Qu, Wentao / Liu, Feng / Mehl, Georg H

Chemical science

2020 Volume 12, Issue 5, Page(s) 1778–1782

Abstract: Gold nanoparticles (AuNPs) have been prepared and surface-functionalized with a mixture of 1-hexanethiol co-ligands and chiral discogen ligands separated from a disulfide ... ...

Abstract	Gold nanoparticles (AuNPs) have been prepared and surface-functionalized with a mixture of 1-hexanethiol co-ligands and chiral discogen ligands separated from a disulfide function
Language	English
Publishing date	2020-12-08
Publishing country	England
Document type	Journal Article
ZDB-ID	2559110-1
ISSN	2041-6539 ; 2041-6520
ISSN (online)	2041-6539
ISSN	2041-6520
DOI	10.1039/d0sc05100d
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Book ; Online: EPCL

Huang, Xiaoshui / Huang, Zhou / Li, Sheng / Qu, Wentao / He, Tong / Hou, Yuenan / Zuo, Yifan / Ouyang, Wanli

Frozen CLIP Transformer is An Efficient Point Cloud Encoder

2022

Abstract: The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained models. However, pretraining such a strong model is difficult in the 3D point ... ...

Abstract	The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained models. However, pretraining such a strong model is difficult in the 3D point cloud field due to the limited amount of point cloud sequences. This paper introduces \textbf{E}fficient \textbf{P}oint \textbf{C}loud \textbf{L}earning (EPCL), an effective and efficient point cloud learner for directly training high-quality point cloud models with a frozen CLIP transformer. Our EPCL connects the 2D and 3D modalities by semantically aligning the image features and point cloud features without paired 2D-3D data. Specifically, the input point cloud is divided into a series of local patches, which are converted to token embeddings by the designed point cloud tokenizer. These token embeddings are concatenated with a task token and fed into the frozen CLIP transformer to learn point cloud representation. The intuition is that the proposed point cloud tokenizer projects the input point cloud into a unified token space that is similar to the 2D images. Comprehensive experiments on 3D detection, semantic segmentation, classification and few-shot learning demonstrate that the CLIP transformer can serve as an efficient point cloud encoder and our method achieves promising performance on both indoor and outdoor benchmarks. In particular, performance gains brought by our EPCL are $\textbf{19.7}$ AP$_{50}$ on ScanNet V2 detection, $\textbf{4.4}$ mIoU on S3DIS segmentation and $\textbf{1.2}$ mIoU on SemanticKITTI segmentation compared to contemporary pretrained models. Code is available at \url{https://github.com/XiaoshuiHuang/EPCL}. Comment: AAAI2024
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2022-12-08
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Synthesis, characterization and antitumor activity of the germanium-quercetin complex

Zhai Guangyu / Zhu Wei / Duan Yandan / Qu Wentao / Yan Zitong

Main Group Metal Chemistry, Vol 35, Iss 3-4, Pp 103-

2012 Volume 109

Abstract: Quercetin-germanium (Ge) (IV) complex was synthesized in the laboratory. The structure and physicochemical properties of the complex were characterized utilizing thermal and spectroscopic (UV-vis, IR and 1H NMR) analysis. The antitumor activity of ... ...

Abstract	Quercetin-germanium (Ge) (IV) complex was synthesized in the laboratory. The structure and physicochemical properties of the complex were characterized utilizing thermal and spectroscopic (UV-vis, IR and 1H NMR) analysis. The antitumor activity of quercetin-Ge (IV) compound was evaluated by the MTT method. The complex was subjected to biological tests in vitro using four tumor cell lines (PC-3, Hela, EC9706 and SPC-A-1). The quercetin-Ge (IV) complex showed significant cytotoxicity against four tumor cell lines.
Keywords	antitumor ; flavonoids ; quercetin-germanium (ge) (iv) complexation ; spectroscopy ; Chemistry ; QD1-999
Language	English
Publishing date	2012-09-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Synthesis, Spectral and Antioxidant Properties of Tin(II)-Rutin Complex

Zhail, Guang-yu / Qu, Wen-tao / Yan, Zi-tong / Zhu, Wei / Duan, Yan-dan / Wang, Jing-ping

Chemistry of natural compounds. 2014 Oct., v. 50, no. 4

2014

Abstract: Rutin is one of the most common flavonoids present in nature that has a wide range of biological properties. A Tin(II)-rutin complex was synthesized from the raw material rutin and SnCl₂ in an alkaline solution. The complex was characterized by UV-vis, ... ...

Abstract	Rutin is one of the most common flavonoids present in nature that has a wide range of biological properties. A Tin(II)-rutin complex was synthesized from the raw material rutin and SnCl₂ in an alkaline solution. The complex was characterized by UV-vis, IR, ¹H NMR, and ¹³C NMR spectroscopy. We evaluated the free radical scavenging activity using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method, and the results showed that pure rutin was more effective than the Tin(II)-rutin complex in terms of antioxidant activity. Supplementing diet by foods rich in rutin and other flavonoids, such as vegetables and fruits, may contribute to removing free radicals and heavy metal ions in our body.
Keywords	antioxidant activity ; free radical scavengers ; free radicals ; fruits ; heavy metals ; metal ions ; nuclear magnetic resonance spectroscopy ; rutin ; tin ; vegetables
Language	English
Dates of publication	2014-10
Size	p. 624-628.
Publishing place	Springer-Verlag
Document type	Article
ZDB-ID	213866-9
ISSN	0009-3130
ISSN	0009-3130
DOI	10.1007/s10600-014-1039-0
Database	NAL-Catalogue (AGRICOLA)

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Zs.A 3107: Show issues

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Synthesis, Spectral and Antioxidant Properties of Tin(II)-Rutin Complex

Zhail, Guang-yu / Qu, Wen-tao / Yan, Zi-tong / Zhu, Wei / Duan, Yan-dan / Wang, Jing-ping

Chemistry of natural compounds

Volume v. 50,, Issue no. 4

Abstract	Rutin is one of the most common flavonoids present in nature that has a wide range of biological properties. A Tin(II)-rutin complex was synthesized from the raw material rutin and SnCl₂ in an alkaline solution. The complex was characterized by UV-vis, IR, ¹H NMR, and ¹³C NMR spectroscopy. We evaluated the free radical scavenging activity using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method, and the results showed that pure rutin was more effective than the Tin(II)-rutin complex in terms of antioxidant activity. Supplementing diet by foods rich in rutin and other flavonoids, such as vegetables and fruits, may contribute to removing free radicals and heavy metal ions in our body.
Keywords	antioxidant activity ; metal ions ; fruits ; free radical scavengers ; vegetables ; rutin ; tin ; nuclear magnetic resonance spectroscopy ; heavy metals ; free radicals
Language	English
Document type	Article
ISSN	0009-3130
Database	AGRIS - International Information System for the Agricultural Sciences and Technology

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