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  1. Book ; Online: Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning

    Bi, Keping / Sun, Xiaojie / Guo, Jiafeng / Cheng, Xueqi

    2024  

    Abstract: Multi-aspect dense retrieval aims to incorporate aspect information (e.g., brand and category) into dual encoders to facilitate relevance matching. As an early and representative multi-aspect dense retriever, MADRAL learns several extra aspect embeddings ...

    Abstract Multi-aspect dense retrieval aims to incorporate aspect information (e.g., brand and category) into dual encoders to facilitate relevance matching. As an early and representative multi-aspect dense retriever, MADRAL learns several extra aspect embeddings and fuses the explicit aspects with an implicit aspect "OTHER" for final representation. MADRAL was evaluated on proprietary data and its code was not released, making it challenging to validate its effectiveness on other datasets. We failed to reproduce its effectiveness on the public MA-Amazon data, motivating us to probe the reasons and re-examine its components. We propose several component alternatives for comparisons, including replacing "OTHER" with "CLS" and representing aspects with the first several content tokens. Through extensive experiments, we confirm that learning "OTHER" from scratch in aspect fusion is harmful. In contrast, our proposed variants can greatly enhance the retrieval performance. Our research not only sheds light on the limitations of MADRAL but also provides valuable insights for future studies on more powerful multi-aspect dense retrieval models. Code will be released at: https://github.com/sunxiaojie99/Reproducibility-for-MADRAL.

    Comment: accepted by ecir2024 as a reproducibility paper
    Keywords Computer Science - Information Retrieval
    Subject code 006
    Publishing date 2024-01-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Molecular complexation properties of Cd

    Tu, Xiaojie / Xu, Pingping / Zhu, Yuxuan / Mi, Wujuan / Bi, Yonghong

    Ecotoxicology and environmental safety

    2023  Volume 263, Page(s) 115378

    Abstract: A detailed understanding the metals binding with algal organic matter (AOM) is essential to gain a deeper insight into the toxicity and migration of metals in algae cell. However, the molecular complexation mechanism of the metals binding with AOM ... ...

    Abstract A detailed understanding the metals binding with algal organic matter (AOM) is essential to gain a deeper insight into the toxicity and migration of metals in algae cell. However, the molecular complexation mechanism of the metals binding with AOM remains unclear. In this study, cadmium ion (Cd
    MeSH term(s) Cadmium/toxicity ; Scenedesmus ; Tryptophan ; Chlorophyceae ; Tyrosine
    Chemical Substances Cadmium (00BH33GNGH) ; Tryptophan (8DUH1N11BX) ; Tyrosine (42HK56048U)
    Language English
    Publishing date 2023-08-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 436536-7
    ISSN 1090-2414 ; 0147-6513
    ISSN (online) 1090-2414
    ISSN 0147-6513
    DOI 10.1016/j.ecoenv.2023.115378
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Clinical Evidence of the Relationship Between Alanine Aminotransferase and Diabetic Kidney Disease.

    Bi, Yaru / Yang, Yang / Yuan, Xiaojie / Wang, Jiping / Liu, Zhiyuan / Tian, Suyan / Sun, Chenglin

    Diabetes, metabolic syndrome and obesity : targets and therapy

    2024  Volume 17, Page(s) 261–269

    Abstract: Aim: Multiple studies have investigated the association between alanine aminotransferase (ALT) and diabetes mellitus (DM); however, only a few studies have specifically examined the relationship between ALT and diabetic kidney disease (DKD). This study ... ...

    Abstract Aim: Multiple studies have investigated the association between alanine aminotransferase (ALT) and diabetes mellitus (DM); however, only a few studies have specifically examined the relationship between ALT and diabetic kidney disease (DKD). This study aimed to investigate the relationship between ALT and DKD using clinical data.
    Methods: A cross-sectional study was conducted on 668 individuals that included non-DM (N=281), DM without DKD (N=160), and DKD (N=227) patients. A generalized additive model (GAM) was used to examine the dose-response relationship between ALT and DKD risk. We also analyzed the data from the US National Health and Nutrition Examination Survey (NHANES) 2015-2018 using the same statistical methods; 4481, 1110, and 671 individuals were included in the non-DM, DM without DKD, and DKD groups, respectively.
    Results: The changes in ALT activity among the non-DM, DM without DKD, and DKD groups showed a similar pattern in both our clinical data and the NHANES dataset. ALT activity increases with the onset of DM, whereas ALT activity decreases when DM progresses to DKD. The GAM revealed a nonlinear
    Conclusion: A
    Language English
    Publishing date 2024-01-20
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494854-8
    ISSN 1178-7007
    ISSN 1178-7007
    DOI 10.2147/DMSO.S442165
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Efficiency Enhancing Technique for Rod Fiber Picosecond Amplifiers with Optimal Mode Field Matching.

    Liu, Danni / Mao, Xiaojie / Bi, Guojiang / Li, Tianqi / Zang, Dawei / Sun, Ninghui

    Micromachines

    2023  Volume 14, Issue 2

    Abstract: A high power and high quality picosecond laser is crucial in MEMS fabrication regarding micromachines. Optimal seed beam coupling is an important precondition to enhance laser efficiency. However, empirical coupling limits its development. In this paper, ...

    Abstract A high power and high quality picosecond laser is crucial in MEMS fabrication regarding micromachines. Optimal seed beam coupling is an important precondition to enhance laser efficiency. However, empirical coupling limits its development. In this paper, the physical parameters related to coupling are determined. The relationships among them are established under optical mode matching constraints to satisfy optimal seed beam coupling. According to a theoretical analysis, the focal length cut-off and the optimal coupling position of the coupling lens are acquired. A maximum transmittance of 87.2% is acquired with a 6 W input seed power in the validation experiment. In further power amplification experiments, a diffraction-limited beam quality is achieved, with M
    Language English
    Publishing date 2023-02-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi14020450
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A novel ZIF-L/PEI thin film nanocomposite membrane for removing perfluoroalkyl substances (PFASs) from water: Enhanced retention and high flux.

    Bi, Yujie / Meng, Xiangmin / Tan, Zhijun / Geng, Qianqian / Peng, Jixing / Yong, Qiaozhi / Sun, Xiaojie / Guo, Mengmeng / Wang, Xinping

    The Science of the total environment

    2024  Volume 925, Page(s) 171727

    Abstract: Membrane separation technology is widely recognized as an effective method for removing perfluoroalkyl substances (PFASs) in water treatment. ZIF-L, a metal-organic framework (MOF) family characterized by its mat-like cavities and leaf-like morphology, ... ...

    Abstract Membrane separation technology is widely recognized as an effective method for removing perfluoroalkyl substances (PFASs) in water treatment. ZIF-L, a metal-organic framework (MOF) family characterized by its mat-like cavities and leaf-like morphology, has garnered considerable interest and has been extensively employed in fabricating thin-film nanocomposite (TFN) membranes. In this study, a robust, high-performance TFN membrane to remove PFASs in a nanofiltration (NF) process was created through an interfacial polymerization approach on the surface of polysulfone (PSF), incorporating ZIF-L within the selective layer. The TFN membrane modified by adding 5 wt% ZIF-L (relative to the weight of ethylene imine polymer (PEI)) exhibits 2.3 times higher water flux (up to 47.56 L·m
    Language English
    Publishing date 2024-03-16
    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.2024.171727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Association between liver enzymes and type 2 diabetes: a real-world study.

    Bi, Yaru / Yang, Yang / Yuan, Xiaojie / Wang, Jiping / Wang, Tuo / Liu, Zhiyuan / Tian, Suyan / Sun, Chenglin

    Frontiers in endocrinology

    2024  Volume 15, Page(s) 1340604

    Abstract: Aim: This study aimed to examine the association of liver enzymes, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl-transferase (GGT), with type 2 diabetes (T2D) risk, particularly their dose-response ... ...

    Abstract Aim: This study aimed to examine the association of liver enzymes, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl-transferase (GGT), with type 2 diabetes (T2D) risk, particularly their dose-response relationship.
    Methods: This cross-sectional study enrolled participants aged >20 years old who underwent physical examination at our local hospital from November 2022 to May 2023. A generalized additive model (GAM) was fit to assess the dose-response relationship between liver enzymes and T2D risk. Furthermore, data from the UK Biobank (n=217,533) and National Health and Nutrition Examination Survey (NHANES 2011-2018; n= 15,528) were analyzed to evaluate whether the dose-response relationship between liver enzymes and T2D differed by population differences.
    Results: A total of 14,100 participants were included (1,155 individuals with T2D and 12,945 individuals without diabetes) in the analysis. GAM revealed a non-linear relationship between liver enzymes and T2D risk (
    Conclusion: Liver enzymes were non-linearly associated with T2D risk in different populations, including China, the UK, and the US. Elevated ALT and GGT levels, within a certain range, could increase T2D risk. More attention should be given to liver enzyme levels for early lifestyle intervention and early T2D prevention. Further studies are necessary to explore the mechanism of the non-linear association between liver enzymes and T2D risk.
    MeSH term(s) Humans ; Young Adult ; Adult ; Diabetes Mellitus, Type 2/epidemiology ; Nutrition Surveys ; Cross-Sectional Studies ; Alanine Transaminase ; Liver
    Chemical Substances Alanine Transaminase (EC 2.6.1.2)
    Language English
    Publishing date 2024-02-20
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2024.1340604
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Insights into the Enhanced Photogeneration of Hydroxyl Radicals from Chlorinated Dissolved Organic Matter.

    Wan, Dong / Song, Gaofei / Mi, Wujuan / Tu, Xiaojie / Zhao, Yafei / Bi, Yonghong

    Environmental science & technology

    2023  Volume 58, Issue 1, Page(s) 805–815

    Abstract: Free available chlorine has been and is being applied in global water treatment and readily reacts with dissolved organic matter (DOM) in aquatic environments, leading to the formation of chlorinated products. Chlorination enhances the photoreactivity of ...

    Abstract Free available chlorine has been and is being applied in global water treatment and readily reacts with dissolved organic matter (DOM) in aquatic environments, leading to the formation of chlorinated products. Chlorination enhances the photoreactivity of DOM, but the influence of chlorinated compounds on the photogeneration of hydroxyl radicals (
    MeSH term(s) Hydroxyl Radical/analysis ; Hydroxyl Radical/chemistry ; Dissolved Organic Matter ; Photolysis ; Oxidation-Reduction ; Carboxylic Acids ; Water Pollutants, Chemical/analysis
    Chemical Substances Hydroxyl Radical (3352-57-6) ; Dissolved Organic Matter ; Carboxylic Acids ; Water Pollutants, Chemical
    Language English
    Publishing date 2023-12-29
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.3c08257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Toxicokinetics of recombinant human fibroblast growth factor 21 for injection in cynomolgus monkey for 3 months.

    Lu, Chao / Jin, Lei / Bi, Jianing / Jin, Hongyi / You, Xinyi / Peng, Lulu / Fan, Haibing / Wang, Huan / Wang, Liangshun / Fan, Zhengkai / Wang, Xiaojie / Liu, Baohua

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1176136

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2023-05-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1176136
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Temperature sensitive self-assembling hydroxybutyl chitosan nanoparticles with cationic enhancement effect for multi-functional applications

    Bi, Shichao / Kong, Ming / Cheng, Xiaojie / Chen, Xiguang

    Carbohydrate polymers. 2021 Feb. 15, v. 254

    2021  

    Abstract: Hydroxybutyl chitosan (HBC) with different degree of substitution (DS) were prepared using a homogeneous reaction system (KOH/urea), which could achieve temperature-dependent reversible morphological transition in aqueous solution. During hydrophobic ... ...

    Abstract Hydroxybutyl chitosan (HBC) with different degree of substitution (DS) were prepared using a homogeneous reaction system (KOH/urea), which could achieve temperature-dependent reversible morphological transition in aqueous solution. During hydrophobic assembly, amino groups on HBC chains exposed on the surface of nanoparticles formed a poly-cationic structure. The structure of HBCs was characterized by FTIR, ¹³C NMR, XRD, TGA and rheology. The morphology and assembly mechanism of HBC nanoparticles were studied by TEM, AFM and DLS. Also, the results of coagulation, bacteriostatic, superoxide anion clearance and anionic contaminant removal tests suggested that HBC nanoparticles had excellent flocculation and removal effect of anionic composites. Moreover, the cytocompatibility test indicated that HBC could effectively promote proliferation and division of mouse fibroblast, mouse embryonic fibroblast and rat bone marrow mesenchymal stem cells. These cationic HBC nanoparticles exhibited great potential in multi-functional applications.
    Keywords antibacterial properties ; aqueous solutions ; bone marrow ; chitosan ; coagulation ; fibroblasts ; flocculation ; hydrophobicity ; mice ; rats ; rheology ; superoxide anion ; temperature ; urea
    Language English
    Dates of publication 2021-0215
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 1501516-6
    ISSN 1879-1344 ; 0144-8617
    ISSN (online) 1879-1344
    ISSN 0144-8617
    DOI 10.1016/j.carbpol.2020.117199
    Database NAL-Catalogue (AGRICOLA)

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  10. Book ; Online: Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search

    Sun, Xiaojie / Yu, Lulu / Wang, Yiting / Bi, Keping / Guo, Jiafeng

    2023  

    Abstract: An effective ranking model usually requires a large amount of training data to learn the relevance between documents and queries. User clicks are often used as training data since they can indicate relevance and are cheap to collect, but they contain ... ...

    Abstract An effective ranking model usually requires a large amount of training data to learn the relevance between documents and queries. User clicks are often used as training data since they can indicate relevance and are cheap to collect, but they contain substantial bias and noise. There has been some work on mitigating various types of bias in simulated user clicks to train effective learning-to-rank models based on multiple features. However, how to effectively use such methods on large-scale pre-trained models with real-world click data is unknown. To alleviate the data bias in the real world, we incorporate heuristic-based features, refine the ranking objective, add random negatives, and calibrate the propensity calculation in the pre-training stage. Then we fine-tune several pre-trained models and train an ensemble model to aggregate all the predictions from various pre-trained models with human-annotation data in the fine-tuning stage. Our approaches won 3rd place in the "Pre-training for Web Search" task in WSDM Cup 2023 and are 22.6% better than the 4th-ranked team.

    Comment: 4 pages, 2 figures, WSDM Cup 2023
    Keywords Computer Science - Information Retrieval
    Subject code 006
    Publishing date 2023-02-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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