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  1. Article ; Online: Research on Pricing Decision of Fresh Agricultural Products Supply Chain Based on Consumers’ Green Consumption Preference

    Li Fuchang / Feng Xuan

    BIO Web of Conferences, Vol 60, p

    2023  Volume 02009

    Abstract: Based on the background of the optimal pricing of the supply chain of graduate fresh agricultural products, this paper constructs the Stackelberg game model that maximizes the profit function of suppliers and retailers, and discusses the optimal pricing ... ...

    Abstract Based on the background of the optimal pricing of the supply chain of graduate fresh agricultural products, this paper constructs the Stackelberg game model that maximizes the profit function of suppliers and retailers, and discusses the optimal pricing decisions of suppliers and retailers under the condition of comprehensively considering consumers’ green consumption preferences and other influencing factors. Green consumers’ green spending preferences are positively correlated with the profits of supply chain manufacturers and retailers. Numerical experiments verify the verification results of this paper, and finally summarize the relevant conclusions, green consumption preference is conducive to the overall profit improvement of the supply chain.
    Keywords Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Alternative Splicing of RNA Is Excessive in Multiple Sclerosis and Not Linked to Gene Expression Levels: Dysregulation Is Corrected by IFN-β.

    Reder, Anthony T / Goel, Aika / Garcia, Tzintzuni / Feng, Xuan

    Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research

    2024  

    Language English
    Publishing date 2024-05-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1226675-9
    ISSN 1557-7465 ; 1079-9907
    ISSN (online) 1557-7465
    ISSN 1079-9907
    DOI 10.1089/jir.2024.0032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1748: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Novel biomarkers and interferon signature in secondary progressive multiple sclerosis.

    Fogel, Avital / Olcer, Maya / Goel, Aika / Feng, Xuan / Reder, Anthony T

    Journal of neuroimmunology

    2024  Volume 389, Page(s) 578328

    Abstract: Multiple sclerosis (MS) exhibits poor immune regulation and subnormal interferon (IFN-β) signaling. Secondary Progressive MS displays waning exacerbations, relentless neurodegeneration, and diminished benefit of therapy. We find dysregulated serum ... ...

    Abstract Multiple sclerosis (MS) exhibits poor immune regulation and subnormal interferon (IFN-β) signaling. Secondary Progressive MS displays waning exacerbations, relentless neurodegeneration, and diminished benefit of therapy. We find dysregulated serum protein balance (Th1/Th2) and excessive gene expression in Relapsing-Remitting MS vs. healthy controls (8700 differentially-expressed genes, DEG) and intermediate levels in SPMS (3900 DEG). Olfactory receptor genes (chemosensing), and WNT/ß-catenin (anti-inflammatory, repair) and metallothionein (anti-oxidant) gene pathways, have less expression in SPMS than RRMS. IFN-β treatment decreased pro-inflammatory and increased metallothionein gene expression in SPMS. These gene expression biomarkers suggest new targets for immune regulation and brain repair in this neurodegenerative disease.
    MeSH term(s) Humans ; Multiple Sclerosis, Chronic Progressive ; Multiple Sclerosis ; Interferons ; Neurodegenerative Diseases ; Multiple Sclerosis, Relapsing-Remitting ; Biomarkers ; Metallothionein/genetics
    Chemical Substances Interferons (9008-11-1) ; Biomarkers ; Metallothionein (9038-94-2)
    Language English
    Publishing date 2024-03-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 8335-5
    ISSN 1872-8421 ; 0165-5728
    ISSN (online) 1872-8421
    ISSN 0165-5728
    DOI 10.1016/j.jneuroim.2024.578328
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1646: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: Lead tolerance and accumulation characteristics of three Hydrangea cultivars representing potential lead-contaminated phytoremediation plants

    Ma, Wenjie / Zhao, Bing / Lv, Xiaofan / Feng, Xuan

    Horticulture, environment and biotechnology. 2022 Feb., v. 63, no. 1

    2022  

    Abstract: Heavy metal contamination of soil is a serious environmental problem worldwide. With improving ecological awareness, phytoremediation has attracted increasing attention as an economic, efficient, and environmentally friendly method to address heavy metal ...

    Abstract Heavy metal contamination of soil is a serious environmental problem worldwide. With improving ecological awareness, phytoremediation has attracted increasing attention as an economic, efficient, and environmentally friendly method to address heavy metal pollution. Hydrangea plants are not only colorful and aesthetically pleasing, but they also grow vigorously. In this study, we examined the responses of three Hydrangea cultivars to different levels of lead (Pb) stress in terms of their growth responses, biochemical changes, and heavy metal accumulation. We found that (1) no visual heavy metal toxicity symptoms were observed in the three Hydrangea cultivars under any Pb treatment. (2) At low concentrations of Pb (100–200 mg kg⁻¹), the root length of the three cultivars increased significantly compared with that of the control; no significant change was found in shoot biomass in the three cultivars under any Pb treatment. (3) The biochemical changes in response to Pb stress differed between the cultivars. (4) Under all Pb treatments, the Pb concentrations in the roots were significantly higher than those in the shoots of the cultivars, with translocation factor (TF) values < 1. Our results suggest that all three Hydrangea cultivars tested have the potential to tolerate high Pb levels in soil and showed Pb phytostabilization tendencies with features essential for phytoextraction.
    Keywords Hydrangea ; biomass ; biotechnology ; cultivars ; environment ; heavy metals ; horticulture ; lead ; phytoaccumulation ; soil ; soil pollution ; sustainable technology ; toxicity
    Language English
    Dates of publication 2022-02
    Size p. 23-38.
    Publishing place Springer Singapore
    Document type Article
    ZDB-ID 2246298-3
    ISSN 2211-3460 ; 2211-3452 ; 0253-6498
    ISSN (online) 2211-3460
    ISSN 2211-3452 ; 0253-6498
    DOI 10.1007/s13580-021-00381-8
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 7802: Show issues

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  5. Article ; Online: Extraction of the GPR instantaneous centroid frequency based on the envelope derivative operator and ICEEMDAN

    Zhang, Xuebing / Hu, Xin / Qiu, Zheli / Feng, Xuan / Qin, Yuxiang

    Remote Sensing Letters. 2023 May 04, v. 14, no. 5 p.469-478

    2023  

    Abstract: The instantaneous centroid frequency attribute describes how the main frequency changes with the ground-penetrating radar (GPR) signal propagating in the subsurface medium. In this letter, we present a new approach for extracting the instantaneous ... ...

    Abstract The instantaneous centroid frequency attribute describes how the main frequency changes with the ground-penetrating radar (GPR) signal propagating in the subsurface medium. In this letter, we present a new approach for extracting the instantaneous centroid frequency based on the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the envelope derivative operator (EDO). The ICEEMDAN decomposition is fully adaptive, and the instantaneous frequency and the instantaneous energy can be tracked with non-negativity by using the EDO algorithm. To verify the effect of the proposed scheme, we have applied it to a GPR forward model and field data, and made comparisons with the instantaneous centroid frequency schemes shown in the previous literature. It can be observed that the proposed scheme in this letter is less subject to noise interference and can localize subsurface interfaces and anomaly bodies with higher resolution. The proposed scheme can be used as an effective complement to GPR signal processing and interpretation.
    Keywords algorithms ; energy ; ground-penetrating radar ; ground-penetrating radar (GPR) ; intrinsic mode function (IMF) ; instantaneous centroid frequency ; improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) ; envelope derivative operator (EDO)
    Language English
    Dates of publication 2023-0504
    Size p. 469-478.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ISSN 2150-7058
    DOI 10.1080/2150704X.2023.2215942
    Database NAL-Catalogue (AGRICOLA)

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  6. Book ; Online: CHEAT

    Yu, Peipeng / Chen, Jiahan / Feng, Xuan / Xia, Zhihua

    A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts

    2023  

    Abstract: The powerful ability of ChatGPT has caused widespread concern in the academic community. Malicious users could synthesize dummy academic content through ChatGPT, which is extremely harmful to academic rigor and originality. The need to develop ChatGPT- ... ...

    Abstract The powerful ability of ChatGPT has caused widespread concern in the academic community. Malicious users could synthesize dummy academic content through ChatGPT, which is extremely harmful to academic rigor and originality. The need to develop ChatGPT-written content detection algorithms call for large-scale datasets. In this paper, we initially investigate the possible negative impact of ChatGPT on academia,and present a large-scale CHatGPT-writtEn AbsTract dataset (CHEAT) to support the development of detection algorithms. In particular, the ChatGPT-written abstract dataset contains 35,304 synthetic abstracts, with Generation, Polish, and Mix as prominent representatives. Based on these data, we perform a thorough analysis of the existing text synthesis detection algorithms. We show that ChatGPT-written abstracts are detectable, while the detection difficulty increases with human involvement.

    Comment: 9 pages, 6 figures
    Keywords Computer Science - Computation and Language
    Publishing date 2023-04-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Leveraging Urban Big Data for Informed Business Location Decisions

    Xiang, Yan / Chang, Danni / Feng, Xuan

    A Case Study of Starbucks in Tianhe District, Guangzhou City

    2023  

    Abstract: With the development of the information age, cities provide a large amount of data that can be analyzed and utilized to facilitate the decision-making process. Urban big data and analytics are particularly valuable in the analysis of business location ... ...

    Abstract With the development of the information age, cities provide a large amount of data that can be analyzed and utilized to facilitate the decision-making process. Urban big data and analytics are particularly valuable in the analysis of business location decisions, providing insight and supporting informed choices. By examining data relating to commercial locations, it becomes possible to analyze various spatial characteristics and derive the feasibility of different locations. This analytical approach contributes to effective decision-making and the formulation of robust location strategies. To illustrate this, the study focuses on Starbucks cafes in the Tianhe District of Guangzhou City, China. Utilizing data visualization maps, the spatial distribution characteristics and influencing factors of Starbucks locations are analyzed. By examining the geographical coordinates of Starbucks, main distribution characteristics are identified. Through this analysis, it explores the factors influencing the spatial layout of commercial store locations, using Starbucks as a case study. The findings offer valuable insights into the management of industrial layout and the location strategies of commercial businesses in urban environments, opening avenues for further research and development in this field.
    Keywords Computer Science - Human-Computer Interaction
    Subject code 910
    Publishing date 2023-10-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection

    Li, Jiayang / Feng, Xuan / Gu, Tianlong / Chang, Liang

    2023  

    Abstract: Multi-domain fake news detection aims to identify whether various news from different domains is real or fake and has become urgent and important. However, existing methods are dedicated to improving the overall performance of fake news detection, ... ...

    Abstract Multi-domain fake news detection aims to identify whether various news from different domains is real or fake and has become urgent and important. However, existing methods are dedicated to improving the overall performance of fake news detection, ignoring the fact that unbalanced data leads to disparate treatment for different domains, i.e., the domain bias problem. To solve this problem, we propose the Dual-Teacher De-biasing Distillation framework (DTDBD) to mitigate bias across different domains. Following the knowledge distillation methods, DTDBD adopts a teacher-student structure, where pre-trained large teachers instruct a student model. In particular, the DTDBD consists of an unbiased teacher and a clean teacher that jointly guide the student model in mitigating domain bias and maintaining performance. For the unbiased teacher, we introduce an adversarial de-biasing distillation loss to instruct the student model in learning unbiased domain knowledge. For the clean teacher, we design domain knowledge distillation loss, which effectively incentivizes the student model to focus on representing domain features while maintaining performance. Moreover, we present a momentum-based dynamic adjustment algorithm to trade off the effects of two teachers. Extensive experiments on Chinese and English datasets show that the proposed method substantially outperforms the state-of-the-art baseline methods in terms of bias metrics while guaranteeing competitive performance.

    Comment: ICDE 2024
    Keywords Computer Science - Computation and Language
    Subject code 006
    Publishing date 2023-12-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: An Internet-wide Penetration Study on NAT Boxes via TCP/IP Side Channel

    Feng, Xuan / Chen, Shuo / Wang, Haining

    2023  

    Abstract: Network Address Translation (NAT) plays an essential role in shielding devices inside an internal local area network from direct malicious accesses from the public Internet. However, recent studies show the possibilities of penetrating NAT boxes in some ... ...

    Abstract Network Address Translation (NAT) plays an essential role in shielding devices inside an internal local area network from direct malicious accesses from the public Internet. However, recent studies show the possibilities of penetrating NAT boxes in some specific circumstances. The penetrated NAT box can be exploited by attackers as a pivot to abuse the otherwise inaccessible internal network resources, leading to serious security consequences. In this paper, we aim to conduct an Internet-wide penetration testing on NAT boxes. The main difference between our study and the previous ones is that ours is based on the TCP/IP side channels. We explore the TCP/IP side channels in the research literature, and find that the shared-IPID side channel is the most suitable for NAT-penetration testing, as it satisfies the three requirements of our study: generality, ethics, and robustness. Based on this side channel, we develop an adaptive scanner that can accomplish the Internet-wide scanning in 5 days in a very non-aggressive manner. The evaluation shows that our scanner is effective in both the controlled network and the real network. Our measurement results reveal that more than 30,000 network middleboxes are potentially vulnerable to NAT penetration. They are distributed across 154 countries and 4,146 different organizations, showing that NAT-penetration poses a serious security threat.
    Keywords Computer Science - Cryptography and Security
    Subject code 303
    Publishing date 2023-11-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A GPR 2D Teager-Kaiser energy operator based on the multivariate variational mode decomposition

    Zhang, Xuebing / Qin, Yuxiang / Li, Yaoyao / Feng, Xuan / Li, Bonan / Hu, Xin / Song, Zhengchun

    Remote Sensing Letters. 2023 Jan. 02, v. 14, no. 1 p.30-38

    2023  

    Abstract: To delineate the anomalies related to subsurface target bodies and the geophysical events, a novel method based on the effective combination of the multivariate variational mode decomposition (MVMD) and 2D Teager-Kaiser operator (2D-TKEO) is proposed for ...

    Abstract To delineate the anomalies related to subsurface target bodies and the geophysical events, a novel method based on the effective combination of the multivariate variational mode decomposition (MVMD) and 2D Teager-Kaiser operator (2D-TKEO) is proposed for ground-penetrating radar (GPR) data processing in this letter. The proposed method takes advantage of the multi-channel decomposition scheme of MVMD and the multi-directional localization of 2D-TKEO for tracking energy attributes. The time-frequency spectrum can be generated based on the IMF-slices decomposed by the MVMD, on which the 2D-TKEO is introduced to focus the spectrum energy, then the common frequency slices are extracted to reveal the energy components of different frequency ranges. The forward model and GPR field data are applied here to demonstrate that the time-frequency spectrum and the subsequent common-frequency slices based on the proposed MVMD-2DTKEO approach can depict the subsurface target bodies (e.g., voids and pipes) and subsurface layers with higher resolution and better stratigraphic continuity, compared with that of the S-transform and the VMD-1DTKEO.
    Keywords energy ; geophysics ; ground-penetrating radar ; models ; Ground penetrating radar (GPR) ; multivariate variational mode decomposition (MVMD) ; 2D Teager-Kaiser energy operator (2D-TKEO) ; common-frequency slices
    Language English
    Dates of publication 2023-0102
    Size p. 30-38.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ISSN 2150-7058
    DOI 10.1080/2150704X.2022.2154178
    Database NAL-Catalogue (AGRICOLA)

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