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  1. Article ; Online: Nutrient uptake and assimilation in fragrant rosewood (Dalbergia odorifera T.C. Chen) seedlings in growing media with un-composted spent mushroom residue.

    Li, Xiaowen / Xia, Haitao / Wang, Jinwang / Chen, Qiuxia

    PloS one

    2021  Volume 16, Issue 4, Page(s) e0249534

    Abstract: The purpose of this study was to detect nutrient uptake and assimilation in woody plants subjected to growing media with some peat replaced by spent mushroom residue (SMR). Fragrant rosewood (Dalbergia odorifera T.C. Chen) seedlings were cultured in five ...

    Abstract The purpose of this study was to detect nutrient uptake and assimilation in woody plants subjected to growing media with some peat replaced by spent mushroom residue (SMR). Fragrant rosewood (Dalbergia odorifera T.C. Chen) seedlings were cultured in five types of growing media with SMR and peat in volumetric proportions of 0% (control), 25%, 50%, 75%, and 100%. With the increase of SMR proportion, ammonium- and nitrate-nitrogen (N) concentrations declined but available phosphorus (P) concentration and electrical conductance both increased. Seedlings in the full SMR substrates showed obvious mortality. Seedlings in substrates with SMR in proportions higher than 25% showed symptoms of excessive N and P toxicities. The utilization efficiency for P was highest in the 25% SMR growing-media. Mineral N in substrates had a positive relationship with growth and biomass but not with glutamine synthetase activity. Available P was negatively related with acid phosphatase activity in both leaves and roots. Un-composted SMR can replace 25% of peat in growing media for fragrant rosewood seedlings, benefitting P uptake and assimilation.
    Language English
    Publishing date 2021-04-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0249534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Molecular mechanism of salinity and waterlogging tolerance in mangrove

    Liu, Huizi / An, Xia / Liu, Xing / Yang, Sheng / Liu, Yu / Wei, Xin / Li, Xiaowen / Chen, Qiuxia / Wang, Jinwang

    Frontiers in plant science

    2024  Volume 15, Page(s) 1354249

    Abstract: Mangrove forests are colloquially referred to as "Earth's kidneys" and serve many important ecological and commercial functions. Salinity and waterlogging stress are the most important abiotic stressors restricting the growth and development of mangroves. ...

    Abstract Mangrove forests are colloquially referred to as "Earth's kidneys" and serve many important ecological and commercial functions. Salinity and waterlogging stress are the most important abiotic stressors restricting the growth and development of mangroves.
    Language English
    Publishing date 2024-02-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2024.1354249
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

    Xu, Chang / Wang, Jinwang / Yang, Wen / Yu, Huai / Yu, Lei / Xia, Gui-Song

    International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) ISPRS journal of photogrammetry and remote sensing. 2022 Aug., v. 190

    2022  

    Abstract: Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains a few pixels. State-of-the-art object detectors do not provide satisfactory results on tiny objects due to the lack of supervision from discriminative features. ...

    Abstract Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains a few pixels. State-of-the-art object detectors do not provide satisfactory results on tiny objects due to the lack of supervision from discriminative features. Our key observation is that the Intersection over Union (IoU) metric and its extensions are very sensitive to the location deviation of the tiny objects, which drastically deteriorates the quality of label assignment when used in anchor-based detectors. To tackle this problem, we propose a new evaluation metric dubbed Normalized Wasserstein Distance (NWD) and a new RanKing-based Assigning (RKA) strategy for tiny object detection. The proposed NWD-RKA strategy can be easily embedded into all kinds of anchor-based detectors to replace the standard IoU threshold-based one, significantly improving label assignment and providing sufficient supervision information for network training. Tested on four datasets, NWD-RKA can consistently improve tiny object detection performance by a large margin. Besides, observing prominent noisy labels in the Tiny Object Detection in Aerial Images (AI-TOD) dataset, we are motivated to meticulously relabel it and release AI-TOD-v2 and its corresponding benchmark. In AI-TOD-v2, the missing annotation and location error problems are considerably mitigated, facilitating more reliable training and validation processes. Embedding NWD-RKA into DetectoRS, the detection performance achieves 4.3 AP points improvement over state-of-the-art competitors on AI-TOD-v2. Datasets, codes, and more visualizations are available at: https://chasel-tsui.github.io/AI-TOD-v2/.
    Keywords aerial photography ; data collection ; detectors ; information networks ; journals ; photogrammetry ; product labeling ; remote sensing ; testing
    Language English
    Dates of publication 2022-08
    Size p. 79-93.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1007774-1
    ISSN 0924-2716
    ISSN 0924-2716
    DOI 10.1016/j.isprsjprs.2022.06.002
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: RNA-seq and phytohormone analysis reveals the culm color variation of

    Jiao, Yulian / Zeng, Hu / Xia, Haitao / Wang, Yueying / Wang, Jinwang / Jin, Chuan

    PeerJ

    2022  Volume 10, Page(s) e12796

    Abstract: Background: The clumping bamboo : Methods: Millions of clean reads were generated and assembled into 604,900 transcripts, and 383,278 unigenes were acquired with RNA-seq technology. The quantification of ABA, IAA, JA, GA: Results: Differential ... ...

    Abstract Background: The clumping bamboo
    Methods: Millions of clean reads were generated and assembled into 604,900 transcripts, and 383,278 unigenes were acquired with RNA-seq technology. The quantification of ABA, IAA, JA, GA
    Results: Differential expression analysis showed that 449 unigenes were differentially expressed genes (DEGs), among which 190 DEGs were downregulated and 259 DEGs were upregulated in
    Language English
    Publishing date 2022-01-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.12796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Learning to Extract Building Footprints From Off-Nadir Aerial Images.

    Wang, Jinwang / Meng, Lingxuan / Li, Weijia / Yang, Wen / Yu, Lei / Xia, Gui-Song

    IEEE transactions on pattern analysis and machine intelligence

    2022  Volume 45, Issue 1, Page(s) 1294–1301

    Abstract: Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer vision technologies. Existing approaches mainly assume that the roof and footprint of a building are well overlapped, which may not ... ...

    Abstract Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer vision technologies. Existing approaches mainly assume that the roof and footprint of a building are well overlapped, which may not hold in off-nadir aerial images as there is often a big offset between them. In this paper, we propose an offset vector learning scheme, which turns the building footprint extraction problem in off-nadir images into an instance-level joint prediction problem of the building roof and its corresponding "roof to footprint" offset vector. Thus the footprint can be estimated by translating the predicted roof mask according to the predicted offset vector. We further propose a simple but effective feature-level offset augmentation module, which can significantly refine the offset vector prediction by introducing little extra cost. Moreover, a new dataset, Buildings in Off-Nadir Aerial Images (BONAI), is created and released in this paper. It contains 268,958 building instances across 3,300 aerial images with fully annotated instance-level roof, footprint, and corresponding offset vector for each building. Experiments on the BONAI dataset demonstrate that our method achieves the state-of-the-art, outperforming other competitors by 3.37 to 7.39 points in F1-score. The codes, datasets, and trained models are available at https://github.com/jwwangchn/BONAI.git.
    Language English
    Publishing date 2022-12-05
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2022.3162583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Ion recognition properties of 2,2'-bibenzimidazole regulated by ammonium-modified pillar[5]arenes.

    Yao, Hong / Hu, Yin-Ping / Yang, Hao-Ran / Yang, Bao-Hong / Wang, Jin-Wang / Zhang, You-Ming / Wei, Tai-Bao / Lin, Qi

    The Analyst

    2023  Volume 148, Issue 6, Page(s) 1221–1226

    Abstract: With the increasing issues of environmental degradation and health problem, the selective detection of toxic ions has attracted considerable attention from researchers. Chemical fluorescent sensors with the advantages of facile operation, high ... ...

    Abstract With the increasing issues of environmental degradation and health problem, the selective detection of toxic ions has attracted considerable attention from researchers. Chemical fluorescent sensors with the advantages of facile operation, high sensitivity, rapid response, and easy visualization are emerging as powerful detection tools towards ions. However, the selective recognition of ions is always hindered by the presence of other interfering substances. Herein, we show that supramolecular host-guest interaction based on a pillar[5]arene provides a new opportunity to regulate the ionic recognition properties of guest molecules. A pillar[5]arene-based host-guest complex HG was constructed through the host-guest interaction between ammonium functionalized pillar[5]arene (HAP5) and 2,2'-bibenzimidazole (G). The host-gust complex HG can realize the successive, highly selective, and sensitive detection of specific ions. It was found that only in the presence of HAP5, the sensitivity towards cations was evidently enhanced, and selective successive recognition for I
    Language English
    Publishing date 2023-03-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 210747-8
    ISSN 1364-5528 ; 0003-2654
    ISSN (online) 1364-5528
    ISSN 0003-2654
    DOI 10.1039/d3an00095h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Physiological and transcriptomic analysis of the mangrove species Kandelia obovata in response to flooding stress.

    Liu, Shuangshuang / Yang, Sheng / Liu, Huizi / Hu, Qingdi / Liu, Xing / Wang, Jinwang / Wang, Jiayu / Xin, Wenzhen / Chen, Qiuxia

    Marine pollution bulletin

    2023  Volume 196, Page(s) 115598

    Abstract: Flooding stress on mangroves is growing continually with rising sea level. In this study, the physiology and transcriptome of the mangrove species Kandelia obovata under flooding stress were analyzed. With increasing inundation time, malondialdehyde (MDA) ...

    Abstract Flooding stress on mangroves is growing continually with rising sea level. In this study, the physiology and transcriptome of the mangrove species Kandelia obovata under flooding stress were analyzed. With increasing inundation time, malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH), soluble sugar (SS), soluble protein (SP), and proline (Pro) content declined, while peroxidase (POD) and ascorbate peroxidase (APX) activity rose significantly. According to the KEGG pathway enrichment analysis, upregulated differentially expressed genes (DEGs) were enriched in the plant hormone signaling pathway. Furthermore, MYB44 and MYB108 genes from the MYB transcription factor family and RAP2.12, DREB2B, and ERF4 genes from the AP2/ERF family were up-regulated under flooding conditions. A strong correlation was established between the expression levels of 12 DEGs under flooding stress and RNA sequencing data and was verified by qRT-PCR. These results provide new insights into the molecular mechanism of K. obovata in response to flooding stress.
    MeSH term(s) Rhizophoraceae/metabolism ; Transcriptome ; Gene Expression Profiling ; Antioxidants/metabolism ; Superoxide Dismutase/metabolism ; Glutathione/metabolism ; Stress, Physiological
    Chemical Substances Antioxidants ; Superoxide Dismutase (EC 1.15.1.1) ; Glutathione (GAN16C9B8O)
    Language English
    Publishing date 2023-10-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001296-2
    ISSN 1879-3363 ; 0025-326X
    ISSN (online) 1879-3363
    ISSN 0025-326X
    DOI 10.1016/j.marpolbul.2023.115598
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Development of an Autonomous Unmanned Aerial Manipulator Based on a Real-Time Oriented-Object Detection Method.

    Lin, Shijie / Wang, Jinwang / Peng, Rui / Yang, Wen

    Sensors (Basel, Switzerland)

    2019  Volume 19, Issue 10

    Abstract: Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potential in mobile 3-dimensional grasping applications, but they still suffer from some difficulties impeding their board applications, such as target detection and indoor positioning. ... ...

    Abstract Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potential in mobile 3-dimensional grasping applications, but they still suffer from some difficulties impeding their board applications, such as target detection and indoor positioning. For the autonomous grasping mission, the UAMs need ability to recognize the objects and grasp them. Considering the efficiency and precision, we present a novel oriented-object detection method called Rotation-SqueezeDet. This method can run on embedded-platforms in near real-time. Besides, this method can give the oriented bounding box of an object in images to enable a rotation-aware grasping. Based on this method, a UAM platform was designed and built. We have given the formulation, positioning, control, and planning of the whole UAM system. All the mechanical designs are fully provided as open-source hardware for reuse by the community. Finally, the effectiveness of the proposed scheme was validated in multiple experimental trials, highlighting its applicability of autonomous aerial rotational grasping in Global Positioning System (GPS) denied environments. We believe this system can be deployed to many potential workplaces which need UAM to accomplish difficult manipulation tasks.
    Language English
    Publishing date 2019-05-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s19102396
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

    Wang, Jinwang / Xu, Chang / Yang, Wen / Yu, Lei

    2021  

    Abstract: Detecting tiny objects is a very challenging problem since a tiny object only contains a few pixels in size. We demonstrate that state-of-the-art detectors do not produce satisfactory results on tiny objects due to the lack of appearance information. Our ...

    Abstract Detecting tiny objects is a very challenging problem since a tiny object only contains a few pixels in size. We demonstrate that state-of-the-art detectors do not produce satisfactory results on tiny objects due to the lack of appearance information. Our key observation is that Intersection over Union (IoU) based metrics such as IoU itself and its extensions are very sensitive to the location deviation of the tiny objects, and drastically deteriorate the detection performance when used in anchor-based detectors. To alleviate this, we propose a new evaluation metric using Wasserstein distance for tiny object detection. Specifically, we first model the bounding boxes as 2D Gaussian distributions and then propose a new metric dubbed Normalized Wasserstein Distance (NWD) to compute the similarity between them by their corresponding Gaussian distributions. The proposed NWD metric can be easily embedded into the assignment, non-maximum suppression, and loss function of any anchor-based detector to replace the commonly used IoU metric. We evaluate our metric on a new dataset for tiny object detection (AI-TOD) in which the average object size is much smaller than existing object detection datasets. Extensive experiments show that, when equipped with NWD metric, our approach yields performance that is 6.7 AP points higher than a standard fine-tuning baseline, and 6.0 AP points higher than state-of-the-art competitors. Codes are available at: https://github.com/jwwangchn/NWD.

    Comment: Codes are available at: https://github.com/jwwangchn/NWD. Its expanded work is accepted by the ISPRS J P & RS (https://www.sciencedirect.com/science/article/pii/S0924271622001599?dgcid=author)
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2021-10-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Development and characterization of 29 InDel markers from the Mangrove Kandelia obovata genome using a resequencing dataset

    Liu, Xing / Liu, Yu / Yang, Sheng / Wang, Jinwang / Lu, Xiang / Wei, Xin / Wang, Wenqing / Wang, Jiayu / Chen, Qiuxia

    Conservation genetics resources. 2022 Sept., v. 14, no. 3

    2022  

    Abstract: Insertion-deletion (InDel) markers are widely employed in genetic studies. The rapid advancement of DNA sequencing technology has enabled the development of a large number of InDel makers from the genomes of non-model plants to become more efficient and ... ...

    Abstract Insertion-deletion (InDel) markers are widely employed in genetic studies. The rapid advancement of DNA sequencing technology has enabled the development of a large number of InDel makers from the genomes of non-model plants to become more efficient and cost-effective. In this study, we identified 29 polymorphic InDel markers utilized in conservation genetics using the Kandelia obovata genome resequencing dataset. PIC values ranged from 0.186 to 0.375 while the values of Hₒ and Hₑ varied from 0.118 to 0.471 and from 0.208 to 0.500, respectively. To the best of our knowledge, this is by far the most extensive set of InDel markers generated for K. obovata. These markers might prove valuable to further the collective understanding of geographically distinct populations, evolutionary relationships, as well as the conservation genetics of K. obovata.
    Keywords DNA ; Kandelia ; conservation genetics ; cost effectiveness ; data collection ; genome ; sequence analysis
    Language English
    Dates of publication 2022-09
    Size p. 263-266.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 2508018-0
    ISSN 1877-7260 ; 1877-7252
    ISSN (online) 1877-7260
    ISSN 1877-7252
    DOI 10.1007/s12686-022-01272-5
    Database NAL-Catalogue (AGRICOLA)

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