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  1. Article ; Online: Biogas production prediction model of food waste anaerobic digestion for energy optimization using mixup data augmentation-based global attention mechanism.

    Geng, Zhiqiang / Shi, Xinwei / Ma, Bo / Chu, Chong / Han, Yongming

    Environmental science and pollution research international

    2024  Volume 31, Issue 6, Page(s) 9121–9134

    Abstract: Achieving rapid, efficient, and cost-effective anaerobic digestion (AD) of food waste is a key means to improve the efficiency of food waste treatment. However, in view of the shortage of historical anaerobic digestion data, the limitation of general ... ...

    Abstract Achieving rapid, efficient, and cost-effective anaerobic digestion (AD) of food waste is a key means to improve the efficiency of food waste treatment. However, in view of the shortage of historical anaerobic digestion data, the limitation of general neural networks in predicting biogas production, and its sensitivity to abnormal variation points, achieving accurate prediction of biogas production is not easy. This paper proposes a novel biogas production prediction model of food waste AD for energy optimization based on the mixup data augmentation integrating an improved global attention mechanism long short-term memory (LSTM). Taking the AD data of the actual factory as samples, the mixup data augmentation is introduced to generate virtual samples with the similar distribution as original samples. Then original samples and generated virtual samples are used as the input of the global attention mechanism LSTM to establish the food waste AD biogas production prediction model. Finally, the proposed method is applied in the biogas production prediction of actual food waste treatment plants. Compared with other industrial modeling models, the experimental results show that the proposed method has the highest prediction accuracy of 0.988, which performs well in predicting biogas production and can effectively guide and timely adjust feed configuration of AD plants.
    MeSH term(s) Food Loss and Waste ; Food ; Anaerobiosis ; Biofuels/analysis ; Refuse Disposal ; Bioreactors ; Methane/analysis
    Chemical Substances Food Loss and Waste ; Biofuels ; Methane (OP0UW79H66)
    Language English
    Publishing date 2024-01-06
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-31653-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Cell wall remodeling promotes callus formation in poplar.

    Zhang, Geng / Liu, Peipei / Zhang, Guifang / Yao, Xiaomin / Wang, Xinwei / Zhang, Yueqian / Lin, Jinxing / Cui, Yaning / Li, Xiaojuan

    Molecular horticulture

    2024  Volume 4, Issue 1, Page(s) 16

    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Letter
    ISSN 2730-9401
    ISSN (online) 2730-9401
    DOI 10.1186/s43897-024-00093-4
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  3. Book ; Online: Towards Higher Pareto Frontier in Multilingual Machine Translation

    Huang, Yichong / Feng, Xiaocheng / Geng, Xinwei / Li, Baohang / Qin, Bing

    2023  

    Abstract: Multilingual neural machine translation has witnessed remarkable progress in recent years. However, the long-tailed distribution of multilingual corpora poses a challenge of Pareto optimization, i.e., optimizing for some languages may come at the cost of ...

    Abstract Multilingual neural machine translation has witnessed remarkable progress in recent years. However, the long-tailed distribution of multilingual corpora poses a challenge of Pareto optimization, i.e., optimizing for some languages may come at the cost of degrading the performance of others. Existing balancing training strategies are equivalent to a series of Pareto optimal solutions, which trade off on a Pareto frontier. In this work, we propose a new training framework, Pareto Mutual Distillation (Pareto-MD), towards pushing the Pareto frontier outwards rather than making trade-offs. Specifically, Pareto-MD collaboratively trains two Pareto optimal solutions that favor different languages and allows them to learn from the strengths of each other via knowledge distillation. Furthermore, we introduce a novel strategy to enable stronger communication between Pareto optimal solutions and broaden the applicability of our approach. Experimental results on the widely-used WMT and TED datasets show that our method significantly pushes the Pareto frontier and outperforms baselines by up to +2.46 BLEU.

    Comment: Accepted by ACL2023
    Keywords Computer Science - Computation and Language
    Subject code 004
    Publishing date 2023-05-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: OmniKnight

    Huang, Yichong / Feng, Xiaocheng / Geng, Xinwei / Qin, Bing

    Multilingual Neural Machine Translation with Language-Specific Self-Distillation

    2022  

    Abstract: Although all-in-one-model multilingual neural machine translation (MNMT) has achieved remarkable progress in recent years, its selected best overall checkpoint fails to achieve the best performance simultaneously in all language pairs. It is because that ...

    Abstract Although all-in-one-model multilingual neural machine translation (MNMT) has achieved remarkable progress in recent years, its selected best overall checkpoint fails to achieve the best performance simultaneously in all language pairs. It is because that the best checkpoints for each individual language pair (i.e., language-specific best checkpoints) scatter in different epochs. In this paper, we present a novel training strategy dubbed Language-Specific Self-Distillation (LSSD) for bridging the gap between language-specific best checkpoints and the overall best checkpoint. In detail, we regard each language-specific best checkpoint as a teacher to distill the overall best checkpoint. Moreover, we systematically explore three variants of our LSSD, which perform distillation statically, selectively, and adaptively. Experimental results on two widely-used benchmarks show that LSSD obtains consistent improvements towards all language pairs and achieves the state-of-the-art
    Keywords Computer Science - Computation and Language
    Publishing date 2022-05-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Emerging Trends of Carbon-Based Quantum Dots: Nanoarchitectonics and Applications.

    Guan, Xinwei / Li, Zhixuan / Geng, Xun / Lei, Zhihao / Karakoti, Ajay / Wu, Tom / Kumar, Prashant / Yi, Jiabao / Vinu, Ajayan

    Small (Weinheim an der Bergstrasse, Germany)

    2023  Volume 19, Issue 17, Page(s) e2207181

    Abstract: Carbon-based quantum dots (QDs) have emerged as a fascinating class of advanced materials with a unique combination of optoelectronic, biocompatible, and catalytic characteristics, apt for a plethora of applications ranging from electronic to ... ...

    Abstract Carbon-based quantum dots (QDs) have emerged as a fascinating class of advanced materials with a unique combination of optoelectronic, biocompatible, and catalytic characteristics, apt for a plethora of applications ranging from electronic to photoelectrochemical devices. Recent research works have established carbon-based QDs for those frontline applications through improvements in materials design, processing, and device stability. This review broadly presents the recent progress in the synthesis of carbon-based QDs, including carbon QDs, graphene QDs, graphitic carbon nitride QDs and their heterostructures, as well as their salient applications. The synthesis methods of carbon-based QDs are first introduced, followed by an extensive discussion of the dependence of the device performance on the intrinsic properties and nanostructures of carbon-based QDs, aiming to present the general strategies for device designing with optimal performance. Furthermore, diverse applications of carbon-based QDs are presented, with an emphasis on the relationship between band alignment, charge transfer, and performance improvement. Among the applications discussed in this review, much focus is given to photo and electrocatalytic, energy storage and conversion, and bioapplications, which pose a grand challenge for rational materials and device designs. Finally, a summary is presented, and existing challenges and future directions are elaborated.
    Language English
    Publishing date 2023-01-24
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202207181
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Human MUS81: A Fence-Sitter in Cancer.

    Chen, Sisi / Geng, Xinwei / Syeda, Madiha Zahra / Huang, Zhengming / Zhang, Chao / Ying, Songmin

    Frontiers in cell and developmental biology

    2021  Volume 9, Page(s) 657305

    Abstract: MUS81 complex, exhibiting endonuclease activity on specific DNA structures, plays an influential part in DNA repair. Research has proved that MUS81 is dispensable for embryonic development and cell viability in mammals. However, an intricate picture has ... ...

    Abstract MUS81 complex, exhibiting endonuclease activity on specific DNA structures, plays an influential part in DNA repair. Research has proved that MUS81 is dispensable for embryonic development and cell viability in mammals. However, an intricate picture has emerged from studies in which discrepant gene mutations completely alter the role of MUS81 in human cancers. Here, we review the recent understanding of how MUS81 functions in tumors with distinct genetic backgrounds and discuss the potential therapeutic strategies targeting MUS81 in cancer.
    Language English
    Publishing date 2021-03-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2021.657305
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Identification of highly reliable risk genes for Alzheimer's disease through joint-tissue integrative analysis.

    Wang, Yong Heng / Luo, Pan Pan / Geng, Ao Yi / Li, Xinwei / Liu, Tai-Hang / He, Yi Jie / Huang, Lin / Tang, Ya Qin

    Frontiers in aging neuroscience

    2023  Volume 15, Page(s) 1183119

    Abstract: Numerous genetic variants associated with Alzheimer's disease (AD) have been identified through genome-wide association studies (GWAS), but their interpretation is hindered by the strong linkage disequilibrium (LD) among the variants, making it difficult ...

    Abstract Numerous genetic variants associated with Alzheimer's disease (AD) have been identified through genome-wide association studies (GWAS), but their interpretation is hindered by the strong linkage disequilibrium (LD) among the variants, making it difficult to identify the causal variants directly. To address this issue, the transcriptome-wide association study (TWAS) was employed to infer the association between gene expression and a trait at the genetic level using expression quantitative trait locus (eQTL) cohorts. In this study, we applied the TWAS theory and utilized the improved Joint-Tissue Imputation (JTI) approach and Mendelian Randomization (MR) framework (MR-JTI) to identify potential AD-associated genes. By integrating LD score, GTEx eQTL data, and GWAS summary statistic data from a large cohort using MR-JTI, a total of 415 AD-associated genes were identified. Then, 2873 differentially expressed genes from 11 AD-related datasets were used for the Fisher test of these AD-associated genes. We finally obtained 36 highly reliable AD-associated genes, including APOC1, CR1, ERBB2, and RIN3. Moreover, the GO and KEGG enrichment analysis revealed that these genes are primarily involved in antigen processing and presentation, amyloid-beta formation, tau protein binding, and response to oxidative stress. The identification of these potential AD-associated genes not only provides insights into the pathogenesis of AD but also offers biomarkers for early diagnosis of the disease.
    Language English
    Publishing date 2023-06-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2558898-9
    ISSN 1663-4365
    ISSN 1663-4365
    DOI 10.3389/fnagi.2023.1183119
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  8. Article: Antecedents of Residents' Pro-tourism Behavioral Intention: Place Image, Place Attachment, and Attitude.

    Shen, Ke / Geng, Chuan / Su, Xinwei

    Frontiers in psychology

    2019  Volume 10, Page(s) 2349

    Abstract: Few prior studies have investigated place image from the residents' perspective, how this and residents' place attachment influence attitude to tourism, and consequent reactions. Accordingly, this study aims to develop a model for local residents' pro- ... ...

    Abstract Few prior studies have investigated place image from the residents' perspective, how this and residents' place attachment influence attitude to tourism, and consequent reactions. Accordingly, this study aims to develop a model for local residents' pro-tourism behavioral intention and to discover the relationships between constructs. Analysis was based on a sample of 370 residents in Huangshan City, China. Results indicate that residents' attitude to tourism positively affects their pro-tourism behavioral intention. Residents' place image is found to positively relate to place attachment and attitude to tourism, while place attachment is also related to attitude and pro-tourism behavioral intention. In addition, attitude to tourism mediates place image's and place attachment's respective relationships with pro-tourism behavioral intention. Lastly, place image indirectly impacts residents' attitude to tourism and pro-tourism behavioral intention through place attachment. However, the positive relationship between place image and pro-tourism behavioral intention is not supported. Theoretical and practical implications are discussed.
    Language English
    Publishing date 2019-10-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2019.02349
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Human MUS81

    Sisi Chen / Xinwei Geng / Madiha Zahra Syeda / Zhengming Huang / Chao Zhang / Songmin Ying

    Frontiers in Cell and Developmental Biology, Vol

    A Fence-Sitter in Cancer

    2021  Volume 9

    Abstract: MUS81 complex, exhibiting endonuclease activity on specific DNA structures, plays an influential part in DNA repair. Research has proved that MUS81 is dispensable for embryonic development and cell viability in mammals. However, an intricate picture has ... ...

    Abstract MUS81 complex, exhibiting endonuclease activity on specific DNA structures, plays an influential part in DNA repair. Research has proved that MUS81 is dispensable for embryonic development and cell viability in mammals. However, an intricate picture has emerged from studies in which discrepant gene mutations completely alter the role of MUS81 in human cancers. Here, we review the recent understanding of how MUS81 functions in tumors with distinct genetic backgrounds and discuss the potential therapeutic strategies targeting MUS81 in cancer.
    Keywords human MUS81 ; endonuclease ; DNA damage response ; cancer therapy ; chromosomal instability ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: CHSY3

    Li, Xinwei / Fan, Yongfei / Zhang, Yue / Wang, Yanyan / Zhao, Menglin / Tang, Mingyue / Li, Huiyuan / Mi, Jiaqi / Geng, Zhijun / Wang, Zishu / Su, Fang

    Frontiers in genetics

    2022  Volume 13, Page(s) 876588

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2022-04-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.876588
    Database MEDical Literature Analysis and Retrieval System OnLINE

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