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  1. Article ; Online: Analysis of spatial spillover effects and influencing factors of transportation carbon emission efficiency from a provincial perspective in China.

    Zhang, Wenyu / Han, Xue / Ding, Qi / Zhang, Dawei

    Environmental science and pollution research international

    2024  Volume 31, Issue 8, Page(s) 12174–12193

    Abstract: Globally, the transportation industry has become one of the leading sectors in carbon emission, and all countries are committed to environmental protection and energy conservation while experiencing rapid development. Under China's "dual-carbon" goal, ... ...

    Abstract Globally, the transportation industry has become one of the leading sectors in carbon emission, and all countries are committed to environmental protection and energy conservation while experiencing rapid development. Under China's "dual-carbon" goal, the carbon emission problem hinders the construction of China's green transportation system and affects the high-quality development of transportation, so it is of great significance to study the spatial pattern of carbon emission efficiency in the transportation industry and the factors affecting it. Firstly, this paper measures the carbon emission value of transportation in 30 provinces in China from 2010 to 2020 based on the IPCC method and measures the carbon emission efficiency through the super-efficiency slack-based measurement model. Secondly, spatial autocorrelation analysis was conducted to determine the spatial clustering characteristics of the efficiency values. Finally, two spatial Durbin models are constructed to measure the spatial spillover effects and analyze the short-term immediate effects of each influencing factor on the static model and the long-term effects of the dynamic model considering the time lag of the transportation carbon emission efficiency. The results of the study show that (1) the average value of efficiency in the central and eastern regions is basically higher than 0.5; in the western and northeastern regions, it is basically lower than 0.3.The overall efficiency of carbon emission in the region shows a fluctuating upward trend but with increasing regional differences. (2) The number of regions with positive spatial correlation increased from 21 to 25 during the study period, and the degree of provincial transportation carbon emission efficiency agglomeration increased. (3) Although urbanization and energy intensity have a large detrimental influence on transportation carbon emission efficiency, environmental regulation has a major favorable effects on it both long and short term. Population scale, opening level, and urbanization all have significant spatial spillover effects. Accordingly, relevant policy recommendations are put forward to provide theoretical guidance for promoting the realization of low-carbon transportation.
    MeSH term(s) Carbon/analysis ; China ; Urbanization ; Conservation of Natural Resources ; Efficiency ; Economic Development
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-01-16
    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/s11356-024-31840-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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  2. Article ; Online: A novel mixed frequency sampling discrete grey model for forecasting hard disk drive failure.

    Chen, Rongxing / Xiao, Xinping / Gao, Mingyun / Ding, Qi

    ISA transactions

    2024  Volume 147, Page(s) 304–327

    Abstract: The mixed data sampling (MIDAS) model has attracted increasing attention due to its outstanding performance in dealing with mixed frequency data. However, most MIDAS model extension studies are based on statistical methods or machine learning models, ... ...

    Abstract The mixed data sampling (MIDAS) model has attracted increasing attention due to its outstanding performance in dealing with mixed frequency data. However, most MIDAS model extension studies are based on statistical methods or machine learning models, which suffer from insufficient prediction performance and stability in small sample environments. To solve this problem, this paper proposes a novel mixed frequency sampling discrete grey model (MDGM(1, N)), which is a coupled form of the MIDAS model and discrete grey multivariate model. By adjusting the structure parameters, the model can be adapted to different sampling frequencies data, and degenerate into several types of grey models. Then, the unbiasedness and stability of the model are proved using the mathematical analysis method and numerical random experiment. The meta-heuristic algorithm is introduced to obtain the optimal weight parameters and the maximum lag order, improving the model's fitting ability to mixed frequency data. To demonstrate the effectiveness of the new model, a model evaluation system consisting of traditional evaluation metrics and a monotonicity test is established. Taking four hard disk drive failure datasets as research cases, the performance of the proposed model is compared with seven mainstream benchmark models. The results show that the proposed model has excellent applicability and outperforms other competition models in terms of validity, stability, and robustness. Furthermore, it is observed that the reported uncorrectable errors and the command timeout have a greater impact on hard disk drive failure. Finally, the new model is employed to forecast the failure of four hard disk drives. The forecasting results indicate that in the next four time points with a cycle of 21 days beginning in April 2023, the failure of the smaller capacity hard disk drives (0055 and 0086, corresponding to 8TB and 10TB) show a decreasing trend, reaching 67.442% and 89.7683%, respectively. The failure of the other larger capacity hard disk drives (0007 and 0138, corresponding to 12TB and 14TB) has increased, with a growth rate of 17.1016% and 123.7899%.
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2024.02.023
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  3. Article: Recent Advances in the Development of Metal–Organic Frameworks for Propylene and Propane Separation

    Ding, Qi / Zhang, Sui

    Energy & fuels. 2022 July 01, v. 36, no. 14

    2022  

    Abstract: Separation of propylene (C₃H₆) and propane (C₃H₈) is a vital step for the manufacture of high-purity C₃H₆ as an important energy source and critical raw material in the petrochemical industry. Due to their similar sizes and properties, the separation of ... ...

    Abstract Separation of propylene (C₃H₆) and propane (C₃H₈) is a vital step for the manufacture of high-purity C₃H₆ as an important energy source and critical raw material in the petrochemical industry. Due to their similar sizes and properties, the separation of C₃H₆ and C₃H₆ is challenging and currently relies on energy-intensive cryogenic distillation. Metal–organic framework (MOF)-assisted adsorptive separation and membrane-based separation are revolutionary energy-saving technologies that can enable efficient gas purification under mild conditions. This review presents the current progress in C₃H₆/C₃H₈ separation achieved with MOFs and MOF-based membranes. The different separation mechanisms (including equilibrium separation, kinetic separation, gate-opening effect, molecular sieving, and combination of them) along with the materials design principles that contribute to benchmark C₃H₆/C₃H₈ separation are discussed. Diverse creative strategies for the fabrication of high-quality MOF membranes (both continuous membranes and mixed-matrix membranes) to surpass the tradeoff between selectivity and gas permeability are summarized. Lastly, this review also outlines the major challenges and opportunities of MOFs to be used for practical C₃H₆/C₃H₈ separation.
    Keywords coordination polymers ; distillation ; energy ; energy conservation ; manufacturing ; oil and gas industry ; permeability ; propane ; propylene ; raw materials
    Language English
    Dates of publication 2022-0701
    Size p. 7337-7361.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 1483539-3
    ISSN 1520-5029 ; 0887-0624
    ISSN (online) 1520-5029
    ISSN 0887-0624
    DOI 10.1021/acs.energyfuels.2c01427
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: The Epigenetic Effects of Coffee.

    Ding, Qi / Xu, Yan-Ming / Lau, Andy T Y

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 4

    Abstract: In this review, we discuss the recent knowledge regarding the epigenetic effects of coffee extract and the three essential active ingredients in coffee (caffeine, chlorogenic acid, and caffeic acid). As a popular beverage, coffee has many active ... ...

    Abstract In this review, we discuss the recent knowledge regarding the epigenetic effects of coffee extract and the three essential active ingredients in coffee (caffeine, chlorogenic acid, and caffeic acid). As a popular beverage, coffee has many active ingredients which have a variety of biological functions such as insulin sensitization, improvement of sugar metabolism, antidiabetic properties, and liver protection. However, recent researches have shown that coffee is not only beneficial for human, but also bad, which may be due to its complex components. Studies suggest that coffee extract and its components can potentially impact gene expression via alteration of DNA methylation, histone modifications, and ncRNA expression; thus, exert long lasting impacts on the epigenome. More importantly, coffee consumption during pregnancy has been linked to multiple negative effects on offspring due to epigenetic modifications; on the other hand, it has also been linked to improvements in many diseases, including cancer. Therefore, understanding more about the epigenetic effects associated with coffee components is crucial to finding ways for improving human health.
    MeSH term(s) Humans ; Caffeine/pharmacology ; Chlorogenic Acid/pharmacology ; Epigenesis, Genetic ; Hypoglycemic Agents/pharmacology ; Liver ; Coffee/chemistry
    Chemical Substances Caffeine (3G6A5W338E) ; Chlorogenic Acid (318ADP12RI) ; Hypoglycemic Agents ; Coffee
    Language English
    Publishing date 2023-02-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28041770
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  5. Article ; Online: Mutual effects of microplastics and microbes: tiny things have big impacts.

    Ding, Qi / Yu, Jing / Wang, Dali / You, Jing

    Future microbiology

    2023  Volume 18, Page(s) 159–162

    MeSH term(s) Microplastics/pharmacology ; Plastics/pharmacology ; Gastrointestinal Microbiome
    Chemical Substances Microplastics ; Plastics
    Language English
    Publishing date 2023-03-14
    Publishing country England
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2254620-0
    ISSN 1746-0921 ; 1746-0913
    ISSN (online) 1746-0921
    ISSN 1746-0913
    DOI 10.2217/fmb-2022-0237
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control.

    Ding, Qi / Zhao, Huimin

    Soft computing

    2021  Volume 25, Issue 18, Page(s) 11955–11963

    Abstract: The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enterprises, logistics cost is an important factor ...

    Abstract The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enterprises, logistics cost is an important factor that affects the operation effect and consumer experience. Based on this, this study proposes cost control methods for e-commerce logistics in the prevention and control of COVID-19 environment. In this study, based on the actual environment of COVID-19 prevention and control, the logistics cost algorithm during the epidemic period is designed on the basis of the analysis of the influencing factors of e-commerce logistics cost, and the cross-border logistics strategy that conforms to the background of COVID-19 prevention and control and the demand of e-commerce logistics cost control is developed to better reduce the operating cost of logistics enterprises. The e-commerce logistics cost control method proposed in this article is effective in the prevention and control of new crown pneumonia, and the overall actual cost is within the budgeted cost range. The experimental results prove that the e-commerce logistics cost control method designed in this paper can help e-commerce companies achieve good economic benefits and proves that it has higher application advantages.
    Language English
    Publishing date 2021-02-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1476598-6
    ISSN 1433-7479 ; 1432-7643
    ISSN (online) 1433-7479
    ISSN 1432-7643
    DOI 10.1007/s00500-021-05624-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Identification of hub genes distinguishing subtypes in endometrial stromal sarcoma through comprehensive bioinformatics analysis.

    Zhang, Ruiqi / Zhao, Weilin / Zhu, Xingyao / Liu, Yuhua / Ding, Qi / Yang, Caiyun / Zou, Hong

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 37

    Abstract: Diagnosing low-grade and high-grade endometrial stromal sarcoma (LG-ESS and HG-ESS) is a challenge. This study aimed to identify biomarkers. 22 ESS cases were analyzed using Illumina microarrays. Differentially expressed genes (DEGs) were identified via ... ...

    Abstract Diagnosing low-grade and high-grade endometrial stromal sarcoma (LG-ESS and HG-ESS) is a challenge. This study aimed to identify biomarkers. 22 ESS cases were analyzed using Illumina microarrays. Differentially expressed genes (DEGs) were identified via Limma. DEGs were analyzed with String and Cytoscape. Core genes were enriched with GO and KEGG, their pan-cancer implications and immune aspects were studied. 413 DEGs were found by exome sequencing, 2174 by GSE85383 microarray. 36 common genes were identified by Venn analysis, and 10 core genes including RBFOX1, PCDH7, FAT1 were selected. Core gene GO enrichment included cell adhesion, T cell proliferation, and KEGG focused on related pathways. Expression was evaluated across 34 cancers, identifying immune DEGs IGF1 and AVPR1A. Identifying the DEGs not only helps improve our understanding of LG-ESS, HG-ESS but also promises to be potential biomarkers for differential diagnosis between LG-ESS and HG-ESS and new therapeutic targets.
    MeSH term(s) Female ; Humans ; Sarcoma, Endometrial Stromal/diagnosis ; Sarcoma, Endometrial Stromal/genetics ; Biomarkers, Tumor/metabolism ; Gene Expression Profiling ; Endometrial Neoplasms/diagnosis ; Endometrial Neoplasms/genetics ; Computational Biology
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-47668-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Chiral Cu

    Si, Qingrui / Wang, Fang / Ding, Qi / Yang, Weimin / Lin, Hengwei / Xu, Chuanlai / Li, Si

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2311275

    Abstract: Nanomaterials with biomimetic catalytic abilities have attracted significant attention. However, the stereoselectivity of natural enzymes determined by their unique configurations is difficult to imitate. In this work, a kind of chiral ... ...

    Abstract Nanomaterials with biomimetic catalytic abilities have attracted significant attention. However, the stereoselectivity of natural enzymes determined by their unique configurations is difficult to imitate. In this work, a kind of chiral Cu
    Language English
    Publishing date 2024-01-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202311275
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Cold Sintering Mediated Engineering of Polycrystalline SnSe with High Thermoelectric Efficiency.

    Lu, Wenbin / Wu, Shilong / Ding, Qi / Si, Mingming / Luo, Wei / Fan, Yuchi / Jiang, Wan

    ACS applied materials & interfaces

    2024  Volume 16, Issue 4, Page(s) 4671–4678

    Abstract: Despite the attractive thermoelectric properties in single crystals, the fabrication of high-performance polycrystalline SnSe by a cost-effective strategy remains challenging. In this study, we prepare the undoped SnSe ceramic with remarkable ... ...

    Abstract Despite the attractive thermoelectric properties in single crystals, the fabrication of high-performance polycrystalline SnSe by a cost-effective strategy remains challenging. In this study, we prepare the undoped SnSe ceramic with remarkable thermoelectric efficiency by the combination of a cold sintering process (CSP) and thermal annealing. The high sintering pressure during CSP induces not only highly oriented grains but also a high concentration of lattice dislocations and stacking faults, which leads to large lattice strain that can shorten the phonon relaxation time. Meanwhile, the thermal annealing breaks the highly resistive SnO
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c15970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Modulation by Co (II) Ion of Optical Activities of L/D-glutathione (GSH)-modified Chiral Copper Nanoclusters for Sensitive Adenosine Triphosphate Detection.

    Ding, Qi / Yang, Weimin / Xing, Xinhe / Lin, Hengwei / Xu, Chuanlai / Xu, Liguang / Li, Si

    Angewandte Chemie (International ed. in English)

    2024  Volume 63, Issue 17, Page(s) e202401032

    Abstract: Chiral nanoscale enantiomers exhibit different biological effects in living systems. However, their chirality effect on the detection sensitivity for chiral biological targets still needs to be explored. Here, we discovered that ... ...

    Abstract Chiral nanoscale enantiomers exhibit different biological effects in living systems. However, their chirality effect on the detection sensitivity for chiral biological targets still needs to be explored. Here, we discovered that Co
    MeSH term(s) Copper ; Adenosine Triphosphate ; Nanostructures ; Luminescence ; Glutathione
    Chemical Substances Copper (789U1901C5) ; Adenosine Triphosphate (8L70Q75FXE) ; Glutathione (GAN16C9B8O)
    Language English
    Publishing date 2024-03-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202401032
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