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Article ; Online: Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification.

Qin, Zequn / Zhang, Pengyi / Li, Xi

IEEE transactions on pattern analysis and machine intelligence

2024 Volume 46, Issue 5, Page(s) 2555–2568

Abstract: Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problems of efficiency and challenging scenarios like severe occlusions and extreme lighting conditions. Inspired by human perception, ...

Abstract	Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problems of efficiency and challenging scenarios like severe occlusions and extreme lighting conditions. Inspired by human perception, the recognition of lanes under severe occlusions and extreme lighting conditions is mainly based on contextual and global information. Motivated by this observation, we propose a novel, simple, yet effective formulation aiming at ultra fast speed and the problem of challenging scenarios. Specifically, we treat the process of lane detection as an anchor-driven ordinal classification problem using global features. First, we represent lanes with sparse coordinates on a series of hybrid (row and column) anchors. With the help of the anchor-driven representation, we then reformulate the lane detection task as an ordinal classification problem to get the coordinates of lanes. Our method could significantly reduce the computational cost with the anchor-driven representation. Using the large receptive field property of the ordinal classification formulation, we could also handle challenging scenarios. Extensive experiments on four lane detection datasets show that our method could achieve state-of-the-art performance in terms of both speed and accuracy. A lightweight version could even achieve 300+ frames per second(FPS). Our code is at https://github.com/cfzd/Ultra-Fast-Lane-Detection-v2.
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2022.3182097
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition.

Dou, Huanzhang / Zhang, Pengyi / Zhao, Yuhan / Jin, Lu / Li, Xi

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

2024 Volume PP

Abstract: Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walking pattern within the sparse boundary representation. Therefore, most ... ...

Abstract	Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walking pattern within the sparse boundary representation. Therefore, most pixels in the silhouette are under-sensitive to the walking pattern since the sparse boundary lacks dense spatial-temporal information, which is suitable to be represented with dense texture. To enhance the sensitivity to the walking pattern while maintaining the robustness of recognition, we present a Complementary Learning with neural Architecture SearcH (CLASH) framework, consisting of walking pattern sensitive gait descriptor named dense spatial-temporal field (DSTF) and neural architecture search based complementary learning (NCL). Specifically, DSTF transforms the representation from the sparse binary boundary into the dense distance-based texture, which is sensitive to the walking pattern at the pixel level. Further, NCL presents a task-specific search space for complementary learning, which mutually complements the sensitivity of DSTF and the robustness of the silhouette to represent the walking pattern effectively. Extensive experiments demonstrate the effectiveness of the proposed methods under both in-the-lab and in-the-wild scenarios. On CASIA-B, we achieve rank-1 accuracy of 98.8%, 96.5%, and 89.3% under three conditions. On OU-MVLP, we achieve rank-1 accuracy of 91.9%. Under the latest in-the-wild datasets, we outperform the latest silhouette-based methods by 16.3% and 19.7% on Gait3D and GREW, respectively.
Language	English
Publishing date	2024-02-16
Publishing country	United States
Document type	Journal Article
ISSN	1941-0042
ISSN (online)	1941-0042
DOI	10.1109/TIP.2024.3360870
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Repair of Rabbit Knee Cartilage by Bipolar Radiofrequency with Different Energy Settings and Recovery Periods.

Fu, Sun / Cai, Bing / Yao, Gong / Zhang, Pengyi

Discovery medicine

2023 Volume 35, Issue 179, Page(s) 1071–1076

Abstract: Background: Arthroscopic bipolar radiofrequency energy (bRFE) is a common method for minimally invasive treatment of cartilage injuries. The benefits of bRFE are still controversial, and its safety has become the focus of attention.: Objective: This ... ...

Abstract	Background: Arthroscopic bipolar radiofrequency energy (bRFE) is a common method for minimally invasive treatment of cartilage injuries. The benefits of bRFE are still controversial, and its safety has become the focus of attention. Objective: This study aimed to reveal the effects of energy setting and recovery period on the efficacy and safety of bRFE. Methods: The New Zealand white rabbit knee cartilage injury model was established, and bRFE was used to treat the cartilage with different energy settings, including 20 W and 40 W, and recovery periods of 0 and 1 month. By observing the immediate and late results on damaged cartilage, along with chondrocyte apoptosis, the effects of energy setting and recovery period on the efficacy and safety of bRFE were accessed. Results: The pathological conditions, surface profile and chondrocyte viability in the bRFE treatment group produced greater late effects and were significantly better than those in the model group. Nevertheless, bRFE produced a timely injury that resulted in an increased rate of apoptosis ( Conclusions: bRFE can effectively trim and improve the cartilage lesion area, and reduce cracks. Although bRFE produced timely chondrocyte damage, this was alleviated on subsequent recovery. Therefore, bRFE with appropriate energy is beneficial to the recovery of cartilage damage, proper attention should be paid to the recovery period.
MeSH term(s)	Rabbits ; Animals ; Cartilage, Articular/injuries ; Cartilage, Articular/pathology ; Cartilage, Articular/surgery ; Chondrocytes
Language	English
Publishing date	2023-12-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2415544-5
ISSN	1944-7930 ; 1944-7930
ISSN (online)	1944-7930
ISSN	1944-7930
DOI	10.24976/Discov.Med.202335179.103
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Green synthesis of a hydrophobic metal-organic gel for the capture of trace odorous hexanal from humid air.

Rehman, Sadia / Zheng, Xianming / Zhang, Pengyi

Journal of hazardous materials

2022 Volume 441, Page(s) 129852

Abstract: The development of superhydrophobic adsorbents for the capture of trace volatile organic compounds (VOCs) from humid indoor air is still a challenge. Herein, we reported the formation of a granular zinc-based metal-organic gel, i.e., ZIF-412(gel) by ... ...

Abstract	The development of superhydrophobic adsorbents for the capture of trace volatile organic compounds (VOCs) from humid indoor air is still a challenge. Herein, we reported the formation of a granular zinc-based metal-organic gel, i.e., ZIF-412(gel) by optimizing the synthesis conditions. The thermally stable xerogel exhibited high surface area (1008 m
Language	English
Publishing date	2022-08-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1491302-1
ISSN	1873-3336 ; 0304-3894
ISSN (online)	1873-3336
ISSN	0304-3894
DOI	10.1016/j.jhazmat.2022.129852
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Fabrication of MnO

He, Yunjuan / Zhang, Pengyi / Yang, Jie / Wang, Shan / Li, Jinge

Journal of environmental sciences (China)

2022 Volume 134, Page(s) 34–43

Abstract: Herein, the coating of ... ...

Abstract	Herein, the coating of MnO
MeSH term(s)	Aluminum ; Manganese Compounds ; Oxides ; Temperature ; Ozone
Chemical Substances	Aluminum (CPD4NFA903) ; Manganese Compounds ; Oxides ; Ozone (66H7ZZK23N)
Language	English
Publishing date	2022-05-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1092300-7
ISSN	1878-7320 ; 1001-0742
ISSN (online)	1878-7320
ISSN	1001-0742
DOI	10.1016/j.jes.2022.04.031
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Widespread mismatch between satellite observed vegetation greenness and temperature isolines during 2000–2020 in China

Pengyi Zhang / Pengchao Zhang / Zhouyuan Li / Tianming Ma / Tianxiao Ma

Ecological Indicators, Vol 147, Iss , Pp 110018- (2023)

2023

Abstract: Warming is projected to increase the greenness of vegetation and lead to geographic shifts in vegetation isolines across China. However, it is unclear whether the shift of greenness isolines can keep pace with that of temperature isolines because ... ...

Abstract	Warming is projected to increase the greenness of vegetation and lead to geographic shifts in vegetation isolines across China. However, it is unclear whether the shift of greenness isolines can keep pace with that of temperature isolines because vegetation activity is always limited by resource availability and relatively slow acclimation mechanisms. In addition, how natural and anthropogenic factors affect this mismatch is poorly understood. Based on remote sensing observations over the last two decades (2000–2020), we systematically evaluated how vegetation greenness shifts respond to warming trends in China. The result showed a widespread mismatch between temperature and greenness. 74 % of the area showed isolines of greenness lag behind or move in the opposite direction to the isolines of temperature. We also found the temperature-greenness mismatch is strongly determined by elevation, slope, vegetation type, and human activity. The magnitude of the mismatch decreased inversely with slope and elevation but increased when human activity increased. The mean magnitude of mismatch between temperature and greenness in velocity was the greatest for deciduous forest (0.45 km/year), followed by grass, shrubs, and evergreen forest. This systematic analysis of the temperature-greenness mismatch has important implications for the sustainable management of vegetation under climate change. Our study underscored the importance of understanding the role of topography, vegetation, and human activity when studying the temperature-greenness mismatch.
Keywords	Climate warming ; Latitudinal shift ; Vegetation greenness ; Velocity ; Anthropogenic effects ; Ecology ; QH540-549.5
Subject code	910
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: GaitMPL: Gait Recognition With Memory-Augmented Progressive Learning.

Dou, Huanzhang / Zhang, Pengyi / Zhao, Yuhan / Dong, Lin / Qin, Zequn / Li, Xi

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

2024 Volume 33, Page(s) 1464–1475

Abstract: Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait patterns. It is inherently challenging due to the various covariates and the properties of silhouettes (textureless and colorless), which result in two kinds ... ...

Abstract	Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait patterns. It is inherently challenging due to the various covariates and the properties of silhouettes (textureless and colorless), which result in two kinds of pair-wise hard samples: the same pedestrian could have distinct silhouettes (intra-class diversity) and different pedestrians could have similar silhouettes (inter-class similarity). In this work, we propose to solve the hard sample issue with a Memory-augmented Progressive Learning network (GaitMPL), including Dynamic Reweighting Progressive Learning module (DRPL) and Global Structure-Aligned Memory bank (GSAM). Specifically, DRPL reduces the learning difficulty of hard samples by easy-to-hard progressive learning. GSAM further augments DRPL with a structure-aligned memory mechanism, which maintains and models the feature distribution of each ID. Experiments on two commonly used datasets, CASIA-B and OU-MVLP, demonstrate the effectiveness of GaitMPL. On CASIA-B, we achieve the state-of-the-art performance, i.e., 88.0% on the most challenging condition (Clothing) and 93.3% on the average condition, which outperforms the other methods by at least 3.8% and 1.4%, respectively. Code will be available at https://github.com/WhiteDOU/GaitMPL https://github.com/WhiteDOU/GaitMPL.
MeSH term(s)	Humans ; Gait ; Learning ; Pedestrians
Language	English
Publishing date	2024-02-23
Publishing country	United States
Document type	Journal Article
ISSN	1941-0042
ISSN (online)	1941-0042
DOI	10.1109/TIP.2022.3164543
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Room temperature synthesis of monolithic MIL-100(Fe) in aqueous solution for energy-efficient removal and recovery of aromatic volatile organic compounds

Zheng, Xianming / Rehman, Sadia / Zhang, Pengyi

Journal of hazardous materials. 2023 Jan. 15, v. 442

2023

Abstract: The removal and recovery of volatile organic compounds (VOCs) are widely used in many industrials. Unfortunately, most conventional porous materials not only have low VOCs uptake, but also need to be regenerated at relatively high temperature. Metal- ... ...

Abstract	The removal and recovery of volatile organic compounds (VOCs) are widely used in many industrials. Unfortunately, most conventional porous materials not only have low VOCs uptake, but also need to be regenerated at relatively high temperature. Metal-organic frameworks (MOFs) have great potential for the removal and recovery of VOCs as their record-breaking gas adsorption capacity, easy regeneration, tunable pore structure and functional groups. Whereas, powdered MOFs are hardly implemented in industrial fields owing to their low bulk density and high pressure drop. Exploring a green method to prepare granular MOFs for the removal and recovery of VOCs is still a challenge. Herein, we report the room temperature green synthesis of a stable Fe-based MOF monolith by using water as the solvent without applying high pressure and chemical binders. The static and dynamic experiments show that the optimized centimeter-scale monolith has high porosity and mechanical strength, and exhibits much better adsorption performance for representative aromatic VOCs (benzene, toluene and p-xylene), than commercial activated carbon and activated carbon fiber under the same conditions. Remarkably, as-synthesized monolith can be rapidly regenerated at lower temperature. These results clearly demonstrate the advantages of MOF monoliths in removing and recovering VOCs, and also provide new insight into the effects of drying temperature, washing and centrifugation procedures on MOF shaping.
Keywords	activated carbon ; adsorption ; ambient temperature ; aqueous solutions ; benzene ; bulk density ; carbon fibers ; centrifugation ; energy efficiency ; porosity ; solvents ; strength (mechanics) ; toluene ; volatile organic compounds ; xylene
Language	English
Dates of publication	2023-0115
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1491302-1
ISSN	1873-3336 ; 0304-3894
ISSN (online)	1873-3336
ISSN	0304-3894
DOI	10.1016/j.jhazmat.2022.129998
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Integrated metabolomics and network pharmacology study on the mechanism of herbal pair of danggui-kushen for treating ischemia heart disease.

Chen, Pengyi / Pang, Chengguo / Bai, Lincheng / Zhang, Yulong / Dong, Peiliang / Han, Hua

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

2024 Volume 1239, Page(s) 124121

Abstract: DangGui-KuShen (DK) is a well-known classic traditional Chinese medicine recipe that improves blood circulation, eliminates moisture, and detoxifies, and is frequently used in the treatment of cardiovascular problems. Some protective effects of DK on ... ...

Abstract	DangGui-KuShen (DK) is a well-known classic traditional Chinese medicine recipe that improves blood circulation, eliminates moisture, and detoxifies, and is frequently used in the treatment of cardiovascular problems. Some protective effects of DK on cardiovascular disease have previously been identified, but its precise mechanism remains unknown. The goal of this study is to combine metabolomics and network pharmacology to investigate DK's protective mechanism in Ischemic Heart Disease(IHD) rat models. A combination of metabolomics and network pharmacology based on UPLC-Q-TOF/MS technology was used in this study to verify the effect of DK on IHD through enzyme-linked immunosorbent assay, HE staining, and electrocardiogram, and it was determined that DK improves the synergistic mechanism of IHD. In total, 22 serum differential metabolites and 26 urine differential metabolites were discovered, with the majority of them involved in phenylalanine, tyrosine, and tryptophan biosynthesis, glycine, serine, and threonine metabolism, arginine and proline metabolism, aminoacyl-tRNA biosynthesis, purine metabolism, and other metabolic pathways. Furthermore, using network pharmacology, a composite target pathway network of DangGui and KuShen for treating IHD was created, which is primarily associated to the tumor necrosis factor (TNF) signaling pathway, P53 signaling, and HIF-1 signaling pathways. The combined research indicated that the NF-B signaling pathway and the HIF-1 signaling pathway are critical in DK treatment of IHD. This study clearly confirms and expands on current knowledge of the synergistic effects of DG and KS in IHD.
Language	English
Publishing date	2024-04-10
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1180823-8
ISSN	1873-376X ; 0378-4347 ; 1570-0232 ; 1387-2273
ISSN (online)	1873-376X
ISSN	0378-4347 ; 1570-0232 ; 1387-2273
DOI	10.1016/j.jchromb.2024.124121
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Atomically Dispersed Y or La on Birnessite-Type MnO

Zhang, Huiyu / Zheng, Xianming / Xu, Tongzhou / Zhang, Pengyi

ACS applied materials & interfaces

2021 Volume 13, Issue 15, Page(s) 17532–17542

Abstract: Room-temperature catalytic decomposition of low-concentration volatile organic compounds (VOCs) in indoor air is an exciting dream to solve their pollution. Herein, two kinds of rare-earth elements (Y and La) were separately doped into birnessite-type ... ...

Abstract	Room-temperature catalytic decomposition of low-concentration volatile organic compounds (VOCs) in indoor air is an exciting dream to solve their pollution. Herein, two kinds of rare-earth elements (Y and La) were separately doped into birnessite-type MnO
Language	English
Publishing date	2021-04-07
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.1c01433
Database	MEDical Literature Analysis and Retrieval System OnLINE

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