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旨在为核桃高品质育种和深化功能性产品开发提供参考，对新疆地区13份核桃仁的灰度值进行测定，以灰度值为指标进行聚类分析，将13份核桃仁分为浅色核桃仁和深色核桃仁2组，对2组核桃仁的含油率、主要化学成分（气味物质、脂肪酸、生育酚、总酚、矿质元素）进行测定，并采用正交偏最小二乘判别分析（OPLS-DA）和皮尔逊法对核桃仁颜色与化学成分进行关联分析。结果表明：聚类分析得到浅色核桃仁和深色核桃仁的灰度值分别为93.13~99.88和60.72~68.66；2组核桃仁的含油率和气味物质无显著差异（p>0.05）；浅色核桃仁的花生烯酸、γ-生育酚、总生育酚、总酚、P、Ca、Mn、Fe、Na、Ba含量显著高于深色核桃仁（p0.05). The light group demonstrated significantly higher levels of eicosenoic acid, γ-tocopherol, total tocopherols, total phenol, P, Ca, Mn, Fe, Na and Ba compared to the amber group (p

Abstract Drying techniques are being used more and more to extend the shelf life of industrial products. Drying could influnce the content of phenolics in food and their antioxidant activity. This study estimated the effects of different drying methods (freeze drying (FD), gradient hot air drying (GHD), and constant hot air drying (CHD)) on phenolic profiles and antioxidant activities in walnut kernels. With a maximum content of 3.61 mg g−1, GHD was found to be the most effective in preserving total phenols, while CHD and FD had maximum contents of 2.66 mg g−1 and 1.96 mg g−1, respectively. The concentration of most monomeric phenols detected in the kernels increased with temperature, particularly in the free and bound forms. Gallic acid (free form) levels in GHD2 (194.54 µg g−1) were 55.77 and 60.08 times higher, respectively, than in FD and CHD. GHD dried walnuts had higher antioxidant activity than FD and CHD dried walnuts. Furthermore, bioinformatics analysis revealed three key metabolic pathways associated with the mechanisms underlying drying changes. The GHD technique, according to these findings, is a better choice for drying walnut in order to preserve its phenolics and antioxidant activity. Graphical Abstract

With the increasing penetration level of electric vehicles (EVs) in distribution networks, the limited capacity of distribution networks has become a bottleneck for EV integration. Considering the difficulties of capacity expansion in distribution networks, especially in large cities, integrating EVs with photovoltaic (PV) generation systems and battery energy storage systems has become a possible technical solution for distribution networks. However, uncertainties in the PV generation systems and EV loads make planning and operating methods difficult for such systems. This paper presents an evaluation model that simulates the uncertainties of EV and PV power generation systems using a large number of stochastic scenarios generated by the Monte Carlo method to assess the revenue of various operators under multiple possible scenarios. Multiple operation constraints were considered in the proposed method, including voltage deviations, capacity limitation of the transformer, EV owner satisfaction, and other physical constraints. In order to accelerate the evaluation process of the EVs, the Distflow equations for distribution networks were applied in the proposed evaluation model. The results of case studies indicate that the maximum capacity of EVs with different scenarios can be calculated by the proposed model.

Introduction: With the installation of advanced metering infrastructures, the operation data of EVs in the distribution networks can be obtained with time intervals of seconds and minutes. Based on these operation data, the impacts of integrating EVs into the distribution networks can be calculated and discussed.Methods: In this paper, an improved clustering algorithm with a new distance index for the daily curves of different types of EVs was proposed. The different types of EVs can be classified into several typical groups and the required number of operation scenarios can be reduced. After reducing the large-scale database to typical clusters, research can be conducted on the characteristics of EVs specific to certain scenarios.Results and discussion: In this way, the capability of integrating different types of EVs into the distribution network, such as fast EV charging stations, slow EV charging stations, and EV bus charging stations, is assessed from the perspective of load capacity size. The proposed clustering algorithm was verified with practical operation data.

The analysis of the phenolic profile in the walnut pellicle (WP) and its exploitability can help to promote the valorization of the industrial waste from walnut production. Three forms of 33 monomeric phenols in WPs were quantified based on our previously established LC-MS/MS method. The levels of protocatechuic acid and 4-hydroxybenzoic acid in the WPs were the highest, exceeding 400 μg/g. Antioxidant tests revealed that all three phenolic forms of WPs were effective antioxidants (IC50: 2.12–35.05 µg/mL). The findings also revealed that drying temperature had a substantial type-dependent effect on phenolics and their antioxidant ability in WPs. KEGG enrichment analysis found that drying method has the greatest impact on WPs phenols in six metabolic pathways. Besides, 11 active substances in WPs were identified by a compound-targeted activity screening approach, indicating that WPs could be used as a natural antioxidant source in the development of medical and nutraceutical products.

Because of information loss during the conversion between a geometric digital prototype and a performance digital prototype in developing a complex mechanical product, the model-driven architecture of a digital prototype was constructed. By analyzing the constituent elements of a STEP file, the platform independent model based on the digital prototype was established. The platform specific model conversion method from the model-driven platform independent model to the UG software, the Adams software and the Abaqus software was proposed. Based on the heterogeneous software interface and the scripting language, the model-driven modules of the above three types of software were developed and verified with numerical instances. The verification results show that the use of the model-driven method can share the model information on the special software for a mechanical digital prototype and that the model-driven modules thus developed can perform the quick simulation analysis and output its results in time.

Researchers are increasingly turning to roadway traffic flow theory to propose effective solutions for challenges such as traffic congestion and low efficiency in waterway transportation. However, since roadway traffic flow theory was originally developed for highway transportation, its direct application to waterways raises questions due to the inherent differences between the two modes of transportation. Meanwhile, research results and methodologies from other transportation modes can provide valuable insights for studying waterway traffic flow theory. Addressing these questions is essential for advancing research in this field. This research conducts a comparative analysis to explore the similarities and differences between typical transportation modes and waterway transportation, examining how these distinctions affect the application of existing traffic flow theories. It also categorizes recent research outcomes related to traffic flow theories from various transportation modes based on their relevance to waterway traffic flow theory. The discussion includes the applicability of these models and methods in the context of waterway transportation, considering the unique characteristics of waterway traffic. Finally, this study highlights current challenges in applying traffic flow theories to waterways and offers suggestions for future research. [ABSTRACT FROM AUTHOR]