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  1. Article ; Online: Effects of magnesium hydroxide morphology on Pb(ii) removal from aqueous solutions.

    Zhu, Donghai / Zhu, Jiachen / Li, Ping / Lan, Shengjie

    RSC advances

    2024  Volume 14, Issue 11, Page(s) 7329–7337

    Abstract: In this study, magnesium hydroxide (MH) particles with distinct morphologies were obtained through direct precipitation and subsequent hydrothermal treatment with various magnesium salts. The synthesized products were systematically characterized and ... ...

    Abstract In this study, magnesium hydroxide (MH) particles with distinct morphologies were obtained through direct precipitation and subsequent hydrothermal treatment with various magnesium salts. The synthesized products were systematically characterized and utilized for the removal of Pb(ii) ions from aqueous solutions. The adsorption process of Pb(ii) by two different MH structures, namely flower globular magnesium hydroxide (FGMH) and hexagonal plate magnesium hydroxide (HPMH), adhered to the Langmuir isotherm and pseudo-second-order model. FGMH exhibited higher Pb(ii) removal capacity (2612 mg g
    Language English
    Publishing date 2024-03-01
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra08040d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: An adaptive algorithm for generating 3D point clouds of the human body based on 4D millimeter-wave radar.

    Huang, Xiaohong / Zhu, Jiachen / Tian, Ziran / Xu, Kunqiang / Liu, Yingchao

    The Review of scientific instruments

    2023  Volume 95, Issue 1

    Abstract: The traditional algorithms for generating 3D human point clouds often face challenges in dealing with issues such as phantom targets and target classification caused by electromagnetic multipath effects, resulting in a lack of accuracy in the generated ... ...

    Abstract The traditional algorithms for generating 3D human point clouds often face challenges in dealing with issues such as phantom targets and target classification caused by electromagnetic multipath effects, resulting in a lack of accuracy in the generated point clouds and requiring manual labeling of the position of the human body. To address these problems, this paper proposes an adaptive method for generating 3D human point clouds based on 4D millimeter-wave radar (Self-Adaptive mPoint, SA-mPoint). This method estimates the rough human point cloud by considering micro-motion and respiration characteristics while combining the echo dynamic with static information. Furthermore, it enhances the density of point cloud generation. It reduces interference from multipath noise through multi-frame dynamic fusion and an adaptive density-based clustering algorithm based on the center points of humans. The effectiveness of the SA-mPoint algorithm is verified through experiments conducted using the TI Millimeter Wave Cascade Imaging Radar Radio Frequency Evaluation Module 77G 4D cascade radar to collect challenging raw data consisting of single-target and multi-target human poses in an open classroom setting. Experimental results demonstrate that the proposed algorithm achieves an average accuracy rate of 97.94% for generating point clouds. Compared to the popular TI-mPoint algorithm, it generates a higher number of point clouds on average (increased by 87.94%), improves the average accuracy rate for generating point clouds (increased by 78.3%), and reduces the running time on average (reduced by 11.41%). This approach exhibits high practicality and promising application prospects.
    MeSH term(s) Humans ; Human Body ; Radar ; Algorithms ; Motion ; Phantoms, Imaging
    Language English
    Publishing date 2023-11-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0181265
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Mitochondrial Genomes of Two Parasitoid Wasps Protapanteles immunis and Parapanteles hyposidrae (Hymenoptera: Braconidae) with Phylogenetic Implications and Novel Gene Rearrangements

    Xiao, Dandan / Wang, Ziqi / Zhu, Jiachen / Zhou, Xiaogui / Tang, Pu / Chen, Xuexin

    Genes (Basel). 2023 Jan. 16, v. 14, no. 1

    2023  

    Abstract: Parapanteles hypsidrae (Wilkinson, 1928) and Protapanteles immunis (Haliday, 1834) are the most important parasitic wasps of Ectropis grisescens Warren and Ectropis obliqua (Prout). We sequenced and annotated the mitochondrial genomes of Pa. hyposidrae ... ...

    Abstract Parapanteles hypsidrae (Wilkinson, 1928) and Protapanteles immunis (Haliday, 1834) are the most important parasitic wasps of Ectropis grisescens Warren and Ectropis obliqua (Prout). We sequenced and annotated the mitochondrial genomes of Pa. hyposidrae and Pr. immunis, which are 17,063 bp and 16,397 bp in length, respectively, and possess 37 mitochondrial genes. We discovered two novel types of gene rearrangement, the local inversion of nad4L in Pa. hyposidrae and the remote inversion of the block cox3-nad3-nad5-nad4 in Pr. immunis, within the mitogenomes of Braconidae. The phylogenetic analysis supported the subfamily Microgastrinae is a monophyletic group, but the tribes Apantelini and Cotesiini within this subfamily are paraphyletic groups.
    Keywords Braconidae ; Ectropis grisescens ; Ectropis obliqua ; gene rearrangement ; genes ; mitochondria ; mitochondrial genome ; monophyly ; paraphyly ; parasitoids
    Language English
    Dates of publication 2023-0116
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2527218-4
    ISSN 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes14010230
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Facile fabrication of Fe

    Zhu, Jiachen / Li, Ping / Yang, Bowen / Lan, Shengjie / Chen, Weiyuan / Zhu, Donghai

    RSC advances

    2023  Volume 13, Issue 47, Page(s) 33403–33412

    Abstract: In this study, we fabricated magnetic ... ...

    Abstract In this study, we fabricated magnetic Fe
    Language English
    Publishing date 2023-11-14
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra05961h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The Mitochondrial Genomes of Two Parasitoid Wasps

    Xiao, Dandan / Wang, Ziqi / Zhu, Jiachen / Zhou, Xiaogui / Tang, Pu / Chen, Xuexin

    Genes

    2023  Volume 14, Issue 1

    Abstract: Parapanteles ... ...

    Abstract Parapanteles hypsidrae
    MeSH term(s) Animals ; Wasps/genetics ; Genome, Mitochondrial ; Phylogeny ; Base Sequence ; Gene Rearrangement
    Language English
    Publishing date 2023-01-16
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2527218-4
    ISSN 2073-4425 ; 2073-4425
    ISSN (online) 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes14010230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Variance-Covariance Regularization Improves Representation Learning

    Zhu, Jiachen / Shwartz-Ziv, Ravid / Chen, Yubei / LeCun, Yann

    2023  

    Abstract: Transfer learning has emerged as a key approach in the machine learning domain, enabling the application of knowledge derived from one domain to improve performance on subsequent tasks. Given the often limited information about these subsequent tasks, a ... ...

    Abstract Transfer learning has emerged as a key approach in the machine learning domain, enabling the application of knowledge derived from one domain to improve performance on subsequent tasks. Given the often limited information about these subsequent tasks, a strong transfer learning approach calls for the model to capture a diverse range of features during the initial pretraining stage. However, recent research suggests that, without sufficient regularization, the network tends to concentrate on features that primarily reduce the pretraining loss function. This tendency can result in inadequate feature learning and impaired generalization capability for target tasks. To address this issue, we propose Variance-Covariance Regularization (VCR), a regularization technique aimed at fostering diversity in the learned network features. Drawing inspiration from recent advancements in the self-supervised learning approach, our approach promotes learned representations that exhibit high variance and minimal covariance, thus preventing the network from focusing solely on loss-reducing features. We empirically validate the efficacy of our method through comprehensive experiments coupled with in-depth analytical studies on the learned representations. In addition, we develop an efficient implementation strategy that assures minimal computational overhead associated with our method. Our results indicate that VCR is a powerful and efficient method for enhancing transfer learning performance for both supervised learning and self-supervised learning, opening new possibilities for future research in this domain.

    Comment: 16 pages, 2 figures
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-06-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Masked Siamese ConvNets

    Jing, Li / Zhu, Jiachen / LeCun, Yann

    2022  

    Abstract: Self-supervised learning has shown superior performances over supervised methods on various vision benchmarks. The siamese network, which encourages embeddings to be invariant to distortions, is one of the most successful self-supervised visual ... ...

    Abstract Self-supervised learning has shown superior performances over supervised methods on various vision benchmarks. The siamese network, which encourages embeddings to be invariant to distortions, is one of the most successful self-supervised visual representation learning approaches. Among all the augmentation methods, masking is the most general and straightforward method that has the potential to be applied to all kinds of input and requires the least amount of domain knowledge. However, masked siamese networks require particular inductive bias and practically only work well with Vision Transformers. This work empirically studies the problems behind masked siamese networks with ConvNets. We propose several empirical designs to overcome these problems gradually. Our method performs competitively on low-shot image classification and outperforms previous methods on object detection benchmarks. We discuss several remaining issues and hope this work can provide useful data points for future general-purpose self-supervised learning.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2022-06-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Membrane Applications in Autologous Cell Therapy.

    Martin, Risto / Lei, Rui / Zeng, Yida / Zhu, Jiachen / Chang, Hong / Ye, Hua / Cui, Zhanfeng

    Membranes

    2022  Volume 12, Issue 12

    Abstract: Stem cell and cell therapies, particularly autologous cell therapies, are becoming a common practice. However, in order for these technologies to achieve wide-scale clinical application, the prohibitively high cost associated with these therapies must be ...

    Abstract Stem cell and cell therapies, particularly autologous cell therapies, are becoming a common practice. However, in order for these technologies to achieve wide-scale clinical application, the prohibitively high cost associated with these therapies must be addressed through creative engineering. Membranes can be a disruptive technology to reshape the bioprocessing and manufacture of cellular products and significantly reduce the cost of autologous cell therapies. Examples of successful membrane applications include expansions of CAR-T cells, various human stem cells, and production of extracellular vesicles (EVs) using hollow fibre membrane bioreactors. Novel membranes with tailored functions and surface properties and novel membrane modules that can accommodate the changing needs for surface area and transport properties are to be developed to fulfil this key role.
    Language English
    Publishing date 2022-11-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2614641-1
    ISSN 2077-0375
    ISSN 2077-0375
    DOI 10.3390/membranes12121182
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Organic-Inorganic Modification of Magnesium Borate Rod by Layered Double Hydroxide and 3-Aminopropyltriethoxysilane and Its Effect on the Properties of Epoxy Resin.

    Zou, Sai / Dang, Li / Li, Ping / Zhu, Jiachen / Lan, Shengjie / Zhu, Donghai

    Polymers

    2022  Volume 14, Issue 17

    Abstract: To alleviate the safety hazards associated with the use of epoxy resin (EP), a multifunctional filler was designed. This study firstly combines the superior mechanical properties of magnesium borate rods (MBR) with the excellent smoke suppression and ... ...

    Abstract To alleviate the safety hazards associated with the use of epoxy resin (EP), a multifunctional filler was designed. This study firstly combines the superior mechanical properties of magnesium borate rods (MBR) with the excellent smoke suppression and flame-retardant characteristics of layered double hydroxide (LDH). H
    Language English
    Publishing date 2022-09-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym14173661
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Enhancing degradation of organic matter in microbial electrolytic cells coupled with anaerobic digestion (MEC-AD) systems by carbon-based materials.

    Li, Mengmeng / Zhang, Qun / Liu, Yang / Zhu, Jiachen / Sun, Faqian / Cui, Min-Hua / Liu, He / Zhang, Tian C / Chen, Chongjun

    The Science of the total environment

    2023  Volume 900, Page(s) 165805

    Abstract: Currently, little information is available on relative contributions among biochar (BC), activated carbon (AC), magnetic BC (MBC), and magnetic AC (MAC) to enhance the effectiveness of a microbial electrolytic cells coupled with anaerobic digestion (MEC- ... ...

    Abstract Currently, little information is available on relative contributions among biochar (BC), activated carbon (AC), magnetic BC (MBC), and magnetic AC (MAC) to enhance the effectiveness of a microbial electrolytic cells coupled with anaerobic digestion (MEC-AD) system and the impact of carbon-based materials on microbial community. In this study, six anaerobic reactors were constructed to demonstrate the effects of different carbon-based materials on organic matter elimination in the MEC-AD system. Remarkably, the reactor containing MBC exhibited a significant increase in organic removal, achieving 95.0 % chemical oxygen demand (COD) eradication. Additionally, the MBC-added MEC-AD reactor yields acetic acid at a rate 2.9 times higher than that of the BC-added reactor. Electrical stimulation enriched electro-producing bacteria such as Pseudomonas (18.1 %) and Gordonia (6.8 %), which were further promoted by the addition of MBC, indicating that the microbial communities cultivated with the MBC could provide the necessary microbiome for the MEC.
    MeSH term(s) Anaerobiosis ; Bioreactors ; Methane ; Charcoal
    Chemical Substances Methane (OP0UW79H66) ; biochar ; Charcoal (16291-96-6)
    Language English
    Publishing date 2023-07-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.165805
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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