| 1. |
- Gao, Xiang, et al.
(författare)
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Planting Age Identification and Yield Prediction of Apple Orchard Using Time-Series Spectral Endmember and Logistic Growth Model
- 2023
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Ingår i: Remote Sensing. - : MDPI AG. - 2072-4292. ; 15:3, s. 642-642
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Tidskriftsartikel (refereegranskat)abstract
- In response to significant shifts in dietary and lifestyle preferences, the global demand for fruits has increased dramatically, especially for apples, which are consumed worldwide. Growing apple orchards of more productive and higher quality with limited land resources is the way forward. Precise planting age identification and yield prediction are indispensable for the apple market in terms of sustainable supply, price regulation, and planting management. The planting age of apple trees significantly determines productivity, quality, and yield. Therefore, we integrated the time-series spectral endmember and logistic growth model (LGM) to accurately identify the planting age of apple orchard, and we conducted planting age-driven yield prediction using a neural network model. Firstly, we fitted the time-series spectral endmember of green photosynthetic vegetation (GV) with the LGM. By using the four-points method, the environmental carrying capacity (ECC) in the LGM was available, which serves as a crucial parameter to determine the planting age. Secondly, we combined annual planting age with historical apple yield to train the back propagation (BP) neural network model and obtained the predicted apple yields for 12 counties. The results show that the LGM method can accurately estimate the orchard planting age, with Mean Absolute Error (MAE) being 1.76 and the Root Mean Square Error (RMSE) being 2.24. The strong correlation between orchard planting age and apple yield was proved. The results of planting age-driven yield prediction have high accuracy, with the MAE up to 2.95% and the RMSE up to 3.71%. This study provides a novel method to accurately estimate apple orchard planting age and yields, which can support policy formulation and orchard planning in the future.
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| 2. |
- Wang, Zihan, et al.
(författare)
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International trade reduces global phosphorus demand but intensifies the imbalance in local consumption
- 2022
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Ingår i: Science of the Total Environment. - : Elsevier BV. - 0048-9697 .- 1879-1026. ; 830, s. 154484-
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Tidskriftsartikel (refereegranskat)abstract
- International trade has led to increasing levels of economic development; however, its role in altering the global phosphorus (P) demand and local P footprint (PF) is unclear. Here, through a multi-regional input–output (MRIO) analysis, we quantified the PF associated with the global consumption of agricultural products for 159 countries and 169 crops over the period of 1995–2015. The results suggested that the international network of P flows was highly connected and the flow distribution was overridingly driven by developed economies (e.g., USA and Germany) and large emerging economies (e.g., China and India). A decoupling between the PF and economic growth was observed in most countries. The high PF per capita in developed economies was mainly driven by imports from developing countries rather than domestic P applications. Our results also highlighted that international trade had two impacts on global P management. Firstly, it reduced the total global P demand from agricultural production by 16%; secondly, it intensified the imbalance of local P consumption. Therefore, the future sustainable management of P requires consideration of the original suppliers and final consumers along the global supply chains and the associated consequences on P management from both local and global perspectives.
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| 3. |
- Wang, Zihan, et al.
(författare)
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Phosphorus flow analysis for megacities using a coupled city-hinterland approach : Case study of Beijing
- 2021
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Ingår i: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 320
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Tidskriftsartikel (refereegranskat)abstract
- Rapid urbanization has decoupled phosphorus (P) urban consumption and hinterland production, which has accelerated the need for a broader perspective that includes the city and hinterland in managing the P cycle. However, there is a scarcity of frameworks for the combined city and hinterland approach, aimed at quantifying the transboundary P flow between the city and hinterland. In this study, we developed a coupled city-hinterland framework (using Beijing as a case study) to assess the P flow pattern at the source, waste, and transboundary flow using substance flow analysis, and proposed a pathway to identify the key subsystem in the coupled system by sensitivity analysis. Results shows that the P waste within Beijing is due to human consumption, rather than production, while P waste in the hinterland was nearly twice that observed in Beijing. Further, hinterland crop production subsystems were identified as the key subsystem to reduce P rock demand for the whole coupled system; 39% of P rock demand could be reduced by optimizing fertilizer use in the hinterland. In the scenarios that consider an improvement in technology both in Beijing and its hinterland, 64% and 60% of the total P rock demand and waste were reduced, respectively. Therefore, we provided suggestions to reduce P waste in the coupled system. This study provides a broader perspective to evaluate the impacts of urban consumption on the hinterland, which will serve as a basis for policy decisions for sustainable P flow in the supply chain of other similar cities.
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| 4. |
- Wei, Shi-Jie, et al.
(författare)
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Microstructure and magnetocaloric properties of melt-extracted SmGdDyCoAl high-entropy amorphous microwires
- 2024
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Ingår i: Rare Metals. - : Springer Nature. - 1001-0521 .- 1867-7185. ; 43:3, s. 1234-1242
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a systematic investigation of the microstructure and magnetocaloric properties of melt-extracted Sm20Gd20Dy20Co20Al20 high-entropy microwires. The fabricated wires exhibited an amorphous structure, and the temperature interval of the undercooled liquid Delta T was 45 K. The microwires underwent a second-order magnetic transition from a ferromagnetic to a paramagnetic state near the Curie temperature (T-C=52 K). The maximum magnetic entropy change (-Delta S-M(max)), the relative cooling power and the refrigeration capacity reached 6.34 J.kg(-1).K-1, 422.09 J.kg(-1) and 332.94 J.kg(-1), respectively, under a magnetic field change of 5 T. In addition, the temperature-averaged entropy changes with two temperature lifts (3 and 10 K) were 6.32 and 6.27 J.kg(-1).K-1, respectively. The good magnetocaloric performance highlights the significant potential for the Sm20Gd20Dy20Co20Al20 microwires to be used as magnetic refrigerant materials in low-temperature region applications. This work will serve as a valuable reference for future investigations on low-temperature high-entropy magnetocaloric materials.
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| 5. |
- Wishart, David S., et al.
(författare)
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HMDB 5.0 : the Human Metabolome Database for 2022
- 2022
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Ingår i: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 50:D1, s. D622-D631
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Tidskriftsartikel (refereegranskat)abstract
- The Human Metabolome Database or HMDB (https://hmdb.ca) has been providing comprehensive reference information about human metabolites and their associated biological, physiological and chemical properties since 2007. Over the past 15 years, the HMDB has grown and evolved significantly to meet the needs of the metabolomics community and respond to continuing changes in internet and computing technology. This year's update, HMDB 5.0, brings a number of important improvements and upgrades to the database. These should make the HMDB more useful and more appealing to a larger cross-section of users. In particular, these improvements include: (i) a significant increase in the number of metabolite entries (from 114 100 to 217 920 compounds); (ii) enhancements to the quality and depth of metabolite descriptions; (iii) the addition of new structure, spectral and pathway visualization tools; (iv) the inclusion of many new and much more accurately predicted spectral data sets, including predicted NMR spectra, more accurately predicted MS spectra, predicted retention indices and predicted collision cross section data and (v) enhancements to the HMDB's search functions to facilitate better compound identification. Many other minor improvements and updates to the content, the interface, and general performance of the HMDB website have also been made. Overall, we believe these upgrades and updates should greatly enhance the HMDB's ease of use and its potential applications not only in human metabolomics but also in exposomics, lipidomics, nutritional science, biochemistry and clinical chemistry.
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