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  1. Article ; Online: Synergistic Enhancement of Carrier Migration by SnO

    Chen, Pengfei / Li, Jin / Wang, Jianing / Deng, Lihan

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 4

    Abstract: Organic dyes in natural waters jeopardize human health. Whether semiconductor materials can effectively degrade dyes has become a challenge for scientific research. Based on this, this study rationally prepared different nanocomposites to remove organic ... ...

    Abstract Organic dyes in natural waters jeopardize human health. Whether semiconductor materials can effectively degrade dyes has become a challenge for scientific research. Based on this, this study rationally prepared different nanocomposites to remove organic dyes effectively. Pure SnO
    Language English
    Publishing date 2024-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29040854
    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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  2. Article: Estimation of Winter Wheat Grain Protein Content Based on Multisource Data Assimilation

    Chen, Pengfei

    Remote Sensing. 2020 Sept. 30, v. 12, no. 19

    2020  

    Abstract: Data assimilation is a robust method to predict crop biophysical and biochemical parameters. However, no previous study has attempted to predict grain protein content (GPC) at a regional scale using this method. This study explored the feasibility of ... ...

    Abstract Data assimilation is a robust method to predict crop biophysical and biochemical parameters. However, no previous study has attempted to predict grain protein content (GPC) at a regional scale using this method. This study explored the feasibility of designing an assimilation model for wheat GPC estimation using remote sensing, a crop growth model, and a priori knowledge. The data included a field experiment and regional sampling data, and Landsat Operational Land Imager images were employed, with the CERES (Crop Environment REsource Synthesis)-Wheat model used as simulation model. To select an optimal method for data assimilation in GPC prediction, different state variable scenarios and cost function solving algorithm scenarios were compared. Additionally, to determine whether a priori information could improve GPC prediction, the collected leaf area index (LAI) and leaf N content sampling data and the range of GPC in the study region were used to constrain the data assimilation process. Furthermore, the data assimilation method was compared to the use of only the CERES-Wheat model. The results showed that GPC could be predicted by remote sensing observation, a crop growth model, and a priori knowledge at regional scale, where the use of data assimilation improved the GPC prediction compared to using only the CERES-Wheat model.
    Keywords Crop Environment Resource Synthesis models ; Landsat ; algorithms ; environment ; estimation ; field experimentation ; grain protein ; information ; knowledge ; land ; leaf area index ; leaves ; nitrogen content ; prediction ; protein content ; remote sensing ; sampling ; simulation models ; synthesis ; winter wheat
    Language English
    Dates of publication 2020-0930
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    Note NAL-light
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs12193201
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Effect of crop spectra purification on plant nitrogen concentration estimations performed using high-spatial-resolution images obtained with unmanned aerial vehicles

    Chen, Pengfei / Wang, Fangyong

    Field Crops Research. 2022 Nov., v. 288 p.108708-

    2022  

    Abstract: Estimating plant nitrogen concentrations (PNCs) with remote sensing technology is critical for ensuring precise field nitrogen (N) management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with ... ...

    Abstract Estimating plant nitrogen concentrations (PNCs) with remote sensing technology is critical for ensuring precise field nitrogen (N) management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with high spatial resolutions that can be used to clearly identify soil and vegetation. Previously, many spectral indices were designed to remove soil effects to obtain optimal PNC predictions. Herein, we attempt to enhance the PNC prediction accuracy only by removing soil pixels in high-resolution images. Thus, we aimed to collect a dataset containing different crops and image types to investigate whether removing soil pixels to purify crop spectra can improve PNC estimations. For this purpose, N fertilizer experiments were conducted on cotton (Gossypium hirsutum L.), wheat (Triticum aestivum L.) and maize (Zea mays L.), and multispectral and hyperspectral UAV images and PNCs were collected at different growth stages. The multispectral images had actual high spatial resolutions, while the hyperspectral images had virtual high spatial resolutions constructed by fusing high resolution panchromatic images and coarse resolution hyperspectral images. These images represent two typical UAV image types. First, for each crop, the relative changes and driving forces associated with the purified and nonpurified spectra were analyzed under different growth stage, N treatment. Then, three commonly used methods, the spectral index (SI), partial least squares regression (PLSR) and artificial neural network (ANN) methods were used to design PNC prediction model using purified and nonpurified spectra respectively. The results showed the differences between purified and nonpurified spectra were affected by the proportion of crop pixel, sunlit soil pixel and sunshade soil pixel in image. This influence had various trends and magnitudes among different N treatment, growth stages and crop types. It is better to remove soil pixels in imagery, when designing PNC prediction model for plants across growth stages, crop types or even in a single growth stage. The results from actual high spatial resolution images demonstrated this point, with the best PNC prediction model from purified spectra. When considering virtual high spatial resolution image, as the spectrum obtained for each vegetation pixel still represented a mixed vegetation and soil spectrum, removing soil pixels showed no improved performance for PNC estimation. These results provide a reference for others to reasonably choose an optimal data-processing method for constructing PNC prediction models.
    Keywords Gossypium hirsutum ; Triticum aestivum ; Zea mays ; altitude ; corn ; cotton ; data collection ; developmental stages ; neural networks ; nitrogen ; nitrogen content ; nitrogen fertilizers ; plant nitrogen content ; prediction ; research ; soil ; vegetation ; wheat ; Purifying spectra ; High spatial resolution image ; Unmanned aerial vehicle
    Language English
    Dates of publication 2022-11
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 435684-6
    ISSN 1872-6852 ; 0378-4290
    ISSN (online) 1872-6852
    ISSN 0378-4290
    DOI 10.1016/j.fcr.2022.108708
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 3096: Show issues

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  4. Article: Education for sustainable development in the business programme to develop international Chinese college students’ sustainability in Thailand

    Chiang, Mengtien / Chen, Pengfei

    Journal of cleaner production. 2022 Nov. 10, v. 374

    2022  

    Abstract: It is considered to be crucial for firms to incorporate the notion of sustainability in their business to achieve success in today's ever-changing commercial world. Hence, it is essential that students' awareness of sustainability and related actions is ... ...

    Abstract It is considered to be crucial for firms to incorporate the notion of sustainability in their business to achieve success in today's ever-changing commercial world. Hence, it is essential that students' awareness of sustainability and related actions is enhanced by embedding this notion in the curriculum in 21st century business education. Guidelines for developing a sustainability-based curriculum are provided in Education for Sustainable Development (ESD) and Principles for Responsible Management Education (PRME). Since previous researchers have mentioned the need to move the development of a sustainability curriculum in higher education institutions (HEIs) to the experimental stage, the aim of this study was to enhance the sustainability learning outcomes of undergraduate students in business programmes based on designing a PRME-based ESD course. 96 students participated in a quasi-experimental intervention. The project performance of both the experimental group (EG) and control group (CG) was used as a pre-test and post-test, and the results indicated that the students' sustainability learning outcomes were effectively enhanced by the PRME-based ESD course. Therefore, the PRME can be used as a framework for the reform of the business curriculum for sustainability, and the ESD's Sustainable Development Goals (SDGs) 8, 9, 11, 12, and 17 can be undergraduate business students' basic learning objectives.
    Keywords curriculum ; sustainable development ; Thailand
    Language English
    Dates of publication 2022-1110
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2022.134045
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Predictive value of soluble suppression of tumorigenicity 2 in atrial fibrillation: a systematic review and meta-analysis.

    Chen, Pengfei / Zhang, Jie / Du, Jianpeng / Shi, Dazhuo / Zhang, He

    Frontiers in cardiovascular medicine

    2024  Volume 10, Page(s) 1308166

    Abstract: Purpose: Atrial fibrosis is the main pathological basis for the pathogenesis and progression of atrial fibrillation (AF). Soluble suppression of tumorigenicity 2 (sST2) is involved in fibrosis. Recent studies have explored its predictive value in AF ... ...

    Abstract Purpose: Atrial fibrosis is the main pathological basis for the pathogenesis and progression of atrial fibrillation (AF). Soluble suppression of tumorigenicity 2 (sST2) is involved in fibrosis. Recent studies have explored its predictive value in AF outcomes. We performed this study to assess whether sST2 is an independent biomarker of AF outcomes and explore the potential mechanism.
    Methods: PubMed, Web of Science, EMBASE, and Cochrane Library databases were searched systematically from inception through July 1, 2023, to identify relevant studies. Outcomes of interest included occurrence, recurrence, and major adverse cardiac events (MACEs) of AF. This meta-analysis was reported following the criteria outlined in PRISMA 2020, and the protocol was registered in PROSPERO (number: CRD42023459789). All statistical analyses were performed using the STATA version 16.
    Result: Twenty four studies with 14,755 patients were included in the meta-analysis. The meta-analyses found that sST2 was significantly associated with the risk of occurrence [HR:1.04, 95% CI: 1.02-1.07,
    Conclusions: Higher sST2 was association with an increased risk of occurrence, recurrence, and MACEs of AF. Assessing sST2 can be used as a potential screening method to predict AF outcomes.
    Systematic review registration: PROSPERO (CRD42023459789).
    Language English
    Publishing date 2024-01-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2023.1308166
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Bioactive peptides derived from fermented foods: Preparation and biological activities

    Guo, Qingyan / Chen, Pengfei / Chen, Xianggui

    Journal of Functional Foods. 2023 Feb., v. 101 p.105422-

    2023  

    Abstract: Bioactive peptides (BAPs) with potential health benefits are gaining popularity as people become more health-conscious. Fermented foods are produced through the vigorous metabolic activities of numerous microorganisms, which convert macromolecules in the ...

    Abstract Bioactive peptides (BAPs) with potential health benefits are gaining popularity as people become more health-conscious. Fermented foods are produced through the vigorous metabolic activities of numerous microorganisms, which convert macromolecules in the food matrix into bioactive components, including BAPs. Access to endogenous BAPs in fermented foods reduces costs while simplifying isolation steps and provides a high-quality direct source of BAPs. Fermented foods-derived BAPs have been shown to have antihypertensive, antioxidant, and antibacterial activities; however, there is a lack of information on the production of BAPs through fermented foods, and a large number of BAPs resources in fermented foods have not been effectively explored. Therefore, this review introduces the current research status, preparation methods, biological functions, and digestive stability of BAPs in fermented foods, followed by a discussion of the shortcomings in current research and future directions to provide a foundation for applications of BAPs in fermented foods in the food and pharmaceutical fields.
    Keywords antioxidants ; fermentation ; food matrix ; peptides ; Fermented food ; Bioactive peptide ; Isolation ; Antihypertensive ; Antioxidant ; Antimicrobial ; BAP ; SARS-CoV-2 ; SCFA ; LAB ; SSF ; SmF ; MSPE ; HPLC ; RP-HPLC ; UPLC ; FPLC ; SEC ; LC-MS/MS ; MALDI-TOF-MS ; IR-MALDESI MS ; LC-QQQ-MS ; ACE ; NMR ; GI ; RAS ; KVOS ; RCS ; SBP ; DBP ; PWV ; LF ; NEPS ; ROS ; RNS ; TRB ; FRB ; hMPO ; AMP ; EV71 ; IMD
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2511964-3
    ISSN 1756-4646
    ISSN 1756-4646
    DOI 10.1016/j.jff.2023.105422
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 7830: Show issues

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  7. Article ; Online: Development of high strength polyvinyl alcohol gel for water shutoff in carbonate reservoirs

    Chen Jin / Ge Jijiang / Wang Wenhui / Chen Pengfei / Chen Weixiong

    E3S Web of Conferences, Vol 375, p

    2023  Volume 01049

    Abstract: To provide a high-strength, non-resin organic plugging agent for water shutoff in carbonate fracture and cave reservoirs, a high-strength gel was prepared with polyvinyl alcohol 1788 as gelant and p-phthalaldehyde as crosslinker in this study. By ... ...

    Abstract To provide a high-strength, non-resin organic plugging agent for water shutoff in carbonate fracture and cave reservoirs, a high-strength gel was prepared with polyvinyl alcohol 1788 as gelant and p-phthalaldehyde as crosslinker in this study. By selecting latent acids rather than strong acid such as hydrochloric acid and sulfuric acid as catalysts, and by adding clay and sulphonated phenolic resin as stabilisers to the gelation, the drawbacks of short gelation time of polyvinyl alcohol and high dehydration rate of the formed gel soaking in brine were overcame. The evaluation results showed that the gellant composed of 7wt% polyvinyl alcohol, 4wt% clay, 0.3wt% aldehyde crosslinker, 0.25wt% latent acid, 1.5wt% sulfonated phenolic resin, and 0.3wt% hexamethylenetetramine had a gelation time of 2 h at 130 °C. The storage modulus of the gel was up to 2000 Pa, and the dehydration rate of the gel after soaking in synthetic brine for 30 days was less than 15%. Furthermore, the breakthrough pressure gradient in a slim tube with a diameter of 3mm reached 15 MPa / m, which indicated that the gel is a temperature and salinity resistant plugging agent with strong plugging ability.
    Keywords water plugging ; crosslinked polyvinyl alcohol ; latent acid ; Environmental sciences ; GE1-350
    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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  8. Article ; Online: Magnesium complexes supported by a dianionic double layer nitrogen-phosphorus ligand: a synthesis and reactivity study.

    Li, Yafei / Chen, Pengfei / Zhu, Qin / Zhu, Congqing

    Dalton transactions (Cambridge, England : 2003)

    2023  Volume 52, Issue 42, Page(s) 15467–15474

    Abstract: A heterobimetallic complex [MeN( ... ...

    Abstract A heterobimetallic complex [MeN(CH
    Language English
    Publishing date 2023-10-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt01657a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Multi-objective evolutionary multitasking algorithm based on cross-task transfer solution matching strategy.

    Sun, Hao / Chen, Pengfei / Hu, Ziyu / Wei, Lixin

    ISA transactions

    2023  Volume 138, Page(s) 504–520

    Abstract: The superior performance of evolutionary multitasking (EMT) algorithms is largely owing to the potential synergy between tasks. Current EMT algorithms only involve a unidirectional process of transferring individuals from the source task to the target ... ...

    Abstract The superior performance of evolutionary multitasking (EMT) algorithms is largely owing to the potential synergy between tasks. Current EMT algorithms only involve a unidirectional process of transferring individuals from the source task to the target task. This method does not consider the search preference of the target task in the process of finding transferred individuals; therefore, the potential synergy between tasks is not fully utilized. Herein, we propose a bidirectional knowledge transfer method, which refers to the search preference of the target task in the process of finding transferred individuals. These transferred individuals fit the search process well for the target task. In addition, an adaptive strategy for adjusting the intensity of the knowledge transfer is proposed. This method enables the algorithm to adjust the intensity of knowledge transfer independently according to the living conditions of the individuals to be transferred to balance the convergence of the population with the computational intensity of the algorithm. The proposed algorithm is compared with comparison algorithms on 38 multi-objective multitasking optimization benchmarks. Experimental results show that the proposed algorithm is not only outperforming other comparison algorithms in more than 30 benchmarks, but also has considerable convergence efficiency.
    Language English
    Publishing date 2023-03-13
    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.2023.03.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Efficacy and safety of

    Chen, Pengfei / Gao, Zhuye / Guo, Ming / Pan, Deng / Zhang, He / Du, Jianpeng / Shi, Dazhuo

    Frontiers in pharmacology

    2024  Volume 15, Page(s) 1353662

    Abstract: Purpose: ...

    Abstract Purpose:
    Language English
    Publishing date 2024-03-21
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2024.1353662
    Database MEDical Literature Analysis and Retrieval System OnLINE

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