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Authors: Chen, Jing

Article Type: Research Article

Abstract: Efficient and reliable fresh agricultural products supply chain is the key to meet the demand of consumers for fresh agricultural products, and also the guarantee for suppliers to realize their economic benefits. Therefore, a multi-dimensional analysis model of agricultural products supply chain competition based on fuzzy mean value is proposed. Firstly, the information distribution model of multi-dimensional analysis of agricultural product supply chain competition is proposed. On this basis, the multi-dimensional analysis information scheduling fusion of agricultural product supply chain competition is processed. Then, the application of mean value fuzzy in agricultural product supply chain is analyzed. According to the …identification module of agricultural product information code, the fuzzy comprehensive evaluation model of supply chain and the mean fuzzy analytic hierarchy process, the competition of agricultural product supply chain is established Dimension analysis model. The experimental results show that the performance score of agricultural product supply chain is higher, the accuracy of supply chain information diagnosis is higher, and the clustering of agricultural product supply chain information diagnosis is better. Show more

Keywords: Mean fuzzy, agricultural product supply chain, competition multidimensional analysis model, mean fuzzy analytic hierarchy process

DOI: 10.3233/JIFS-210962

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 2, pp. 3591-3602, 2021

Authors: Chen, Jing | Wang, Xiaoxuan | Wu, Yujing

Article Type: Research Article

Abstract: The use of image fusion technology in the area of information processing is continuing to advance in depth thanks to ongoing hardware advancements and related research. An enhanced convolutional neural network approach is developed to fuse visible and infrared images, and image pre-processing is carried out utilising an image alignment method with edge detection in order to gain more accurate and trustworthy image information. The performance of the fast wavelet decomposition, convolutional neural network, and modified convolutional neural network techniques is compared and examined using four objective assessment criteria. The experimental findings demonstrated that the picture alignment was successful with …an offset error of fewer than 3 pixels in the horizontal direction and an angle error of less than 0.3∘ in both directions. The revised convolutional neural network method increased the information entropy, mean gradient, standard deviation, and edge detection information by an average of 46.13%, 39.40%, 19.91%, and 3.72%. The runtime of the modified approach was lowered by 19.42% when compared to the convolutional neural network method, which enhanced the algorithm’s performance and boosted the effectiveness of picture fusion. The image fusion accuracy reached 98.61%, indicating that the method has better fusion performance and is of practical value for improving image fusion quality. Show more

Keywords: Image fusion, convolutional neural networks, residual networks, visible and infrared images, information entropy

DOI: 10.3233/JCM-247272

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1665-1678, 2024

Authors: Chen, Jing | Wang, Huan | Zhu, Jing

Article Type: Research Article

Abstract: BACKGROUND: Hypertensive disorders during pregnancy pose significant risks to both maternal and fetal health, necessitating safe and effective therapeutic interventions. OBJECTIVE: This study aimed to investigate the potential of an extract derived from Falcaria vulgaris (FV), loaded with exosomes to form the Exo/FV complex, as a novel therapeutic agent for the management of hypertension in pregnant mice: antioxidants, antimicrobials, and phenolic compounds present in FV lower blood pressure. METHODS: The isolation of exosomes was done by ultracentrifugation methods and the FV was loaded into the exosomes by electroporation method. RESULTS: The Exo/FV was found to be spherical with diameter ranges …from 20 to 30 nm and they were tested for biocompatibility in NHI 3T3 cell lines and found to be effective. This research investigated in vivo hypertension in mice induced by L-NAME and treated with FV and Exo/FV and found that AChE and MAO determine mice’s redox state tends to reduce blood pressure. Increased non-protein thiol (NP-SH) and decreased lipid peroxidation were also found, and PDE-5, ACE, Arginase, and MDA activity has also been tested. CONCLUSION: This analysis showed that Exo/FV effectively treated hypertension during pregnancy. Show more

Keywords: Hypertension, Falcaria vlugaris, exosomes, In vivo, Exo/FV

DOI: 10.3233/BME-240053

Citation: Bio-Medical Materials and Engineering, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Li, Shuang | Khan, Alick | Chen, Jing | Tan, Jun

Article Type: Research Article

Abstract: We report the case of a 19-year old man who presented to our institution with a history of pain of one week in the ulnar side of the left wrist and continuous pressing sensation in the palm. According to patient, there was no history of acute hand trauma. The conventional roentgenograms did not show the fracture and computerized tomographic (CT) scanning demonstrated a complete fracture of the hook of the hamate. The patient was given a surgical intervention and the hamate bone was reduced through a palmar skin incision. After surgery, the operated hand was immobilized in a wrist brace …and the patient was put on a rehabilitation protocol. At the last follow-up, the patient was able to return to normal living activities without any symptoms. We reviewed the latest articles of the past 18 years and compared the research studies related to the diagnosis and treatment of the hamate hook fracture. Our conclusion is that CT scan is the most effective diagnostic tool for detecting the hamate hook fracture. Three-dimensionally (3D) reconstructed images based of CT could provide more accurate and insight illustration for better evaluation in surgical planning. Show more

Keywords: Hamate hook fracture, open reduction and internal fixation, computed tomography, 3D reconstruction

DOI: 10.3233/XST-190497

Citation: Journal of X-Ray Science and Technology, vol. 27, no. 4, pp. 765-772, 2019

Authors: Jiang, Feng | Lin, Chunhua | Chen, Jing | Wu, Chutian

Article Type: Research Article

Abstract: New energy integration is thought to be one of the most potential solutions to support the power system with a sustainable energy infrastructure. However, new energy is an uncertain power generation resource, and the electricity generated by it has the characteristics of randomness, intermittency and reverse peak regulation. Its large-scale integration into the power grid makes the operation and reliability scheduling of the power system more challenging. It was important to build a wireless sensing and monitoring network to monitor the power and change trend of the new energy field (station) in real time. The energy consumption of wireless sensing …monitoring network is an important factor to improve the reliability of new energy scheduling. Based on the energy consumption of the wireless sensing monitoring network built by the new energy scheduling, the compression sensing technology was integrated and the network routing protocol (I-LEACH protocol) was optimized. The sampling data was transmitted by the cluster head node at the compression rate of 0.6, the improved OMP (Orthogonal Matching Pursuit) algorithm was reconstructed to achieve reliable data transmission, and the network energy consumption was further reduced. Compared with the I-LEACH routing protocol network, the experiments show that the network residual energy of the proposed method increased by 22% and the life cycle increased by about 30%. This method is helpful to improve the reliability of new energy power dispatching system and it can provide reference for realizing the reliability scheduling of new energy power system. Show more

Keywords: I-LEACH, cluster head node, OMP

DOI: 10.3233/JIFS-222980

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, pp. 1743-1756, 2023

Authors: Wang, Huanmin | Chen, Jing | Yuan, Xunfeng | Chen, Yao | Zhang, Hui

Article Type: Research Article

Abstract: Electric vehicle (EV) wireless charging technology has recently attracted a lot of attention and has a broad potential for commercial application development. A fundamental performance indicator of wireless charging systems is efficient transmission. Magnetic coupling mechanism design and circuit parameters have the greatest effects on the transmission efficiency of the system. In this study, the output power and efficiency of the wireless power transfer (WPT) circuit were theoretically computed based on the LCC-type resonant network. Simulation studies demonstrate that the transmission efficiency and output gain deviate significantly from the expected value when circuit parameters are changed. To improve transmission efficiency, …the optimal impedance configuration was created using a semi-controlled rectifier circuit. Based on electromagnetic field theory and equivalent magnetic circuit model, a new contactless transformer structure was optimized and created, and the new contactless transformer had a higher coupling coefficient. The coil offset had a greater impact on the transmission efficiency. The results indicate that within a certain distance, the coupling coil offset had no impact on transmission efficiency, and beyond that distance, the transmission efficiency was almost non-existent. Both the feasibility of the practical verification and the accuracy of the theoretical study were tested using a low-power wireless charging experimental setup. This paper provides design guidelines for wireless charging systems using circuit parameter sensitivity analysis and contactless transformer optimization design. Show more

Keywords: Wireless charging, parameter sensitivity, contactless transformer, electric vehicle

DOI: 10.3233/JAE-220084

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 72, no. 1, pp. 69-86, 2023

Authors: Chen, Jing | Zhao, Haitong | Liu, Mingxin | Liu, Miaomiao

Article Type: Research Article

Abstract: For the problem of low discrimination accuracy of evolutionary events in dynamic social networks, a community evolution model (EMNI) based on node influence and multi-attribute fusion is proposed. Firstly, the topological structure information of nodes is obtained by random walk and local clustering coefficient, and the influence of nodes is evaluated according to the topological structure of nodes. Secondly, in order to improve the accuracy of discriminating community similarity, a community similarity discrimination method based on multi-attribute fusion is proposed. The model EMNI combined the characteristics of community stability and community difference, and redefined seven evolutionary events. Finally, the effectiveness …of the EMNI model in identifying community evolution events is verified on different data sets. The experimental results show that the EMNI model is better than GED, PECT and SGCI, which is able to identify more evolutionary events and the distribution of events is also more balanced. Show more

Keywords: Community evolution, node influence, EMNI, community stability, community difference

DOI: 10.3233/IDA-216485

Citation: Intelligent Data Analysis, vol. 27, no. 3, pp. 791-807, 2023

Authors: Gang, Huixin | Zhang, Qian | Chen, Jing | Qin, Dong | Huo, Junwei

Article Type: Research Article

Abstract: BACKGROUND: R2R3-MYB transcription factor (TF) family plays important roles in various biological processes in many plants, especially in the regulation of plant flavonoid accumulation. The fruit of Lonicera caerulea contains abundant anthocyanin. OBJECTIVE: The R2R3-MYB TF family was systematically analyzed according to the RNA-seq data, and the R2R3-MYB candidate genes that were involved in anthocyanin biosynthesis in the fruit of Lonicera caerulea were screened. METHODS: The R2R3-MYB TFs in Lonicera caerulea were identified, and the physical and chemical properties, protein conserved sequence alignment and motifs of each R2R3-MYB TFs were analyzed using bioinformatics methods. The expression levels of these genes …and anthocyanin levels in different tissues and different developmental stages of fruit were determined by RT-qPCR and pH shift method. RESULTS: A total of 59 genes encoding R2R3-MYB TFs in Lonicera caerulea were identified and clustered into 20 subgroups (C1 to C20) based on the relationship to AtR2R3-MYBs. Expression profiles showed that the expression of CL6086 and CL552 in fruit were higher than other tissues, and upregulated in the veraison fruit compared to the green ripe fruit. As the expression of the two genes was concurrent with the anthocyanin content, and showed high correlation with anthocyanin biosynthetic structural genes, they were considered as closely related to anthocyanin biosynthesis in the fruit. CONCLUSION: The results provide a systematic analysis of LcR2R3-MYBs, and the foundation for further molecular mechanisms research of anthocyanin biosynthesis regulated by R2R3-MYB in the fruit of Lonicera caerulea . Show more

Keywords: Lonicera caerulea, R2R3-MYB, anthocyanin, fruit, expression pattern

DOI: 10.3233/JBR-210008

Citation: Journal of Berry Research, vol. 11, no. 4, pp. 669-687, 2021

Authors: Sun, Yong | Yang, Yiwei | Chen, Jing | Xue, Keli | Li, Min

Article Type: Research Article

Abstract: This paper addresses prevalent issues of suboptimal compatibility between the heating exchanger and the thermal storage unit, poor safety performance, and overall insufficient heat exchange efficiency within the application of heating exchangers in electric heating solid energy storage heating systems. Experimental testing and numerical simulation studies were conducted. The research investigates the effect of the temperature of inlet air as well as velocity on the heat exchange performance of the heating exchanger as well as temperature variations of single-row heat pipes. Drawing upon these change patterns, an optimized heating exchanger structure is proposed and subsequently investigated through optimization simulation studies. …The study results indicate that the best overall optimization effect is achieved with a heating exchanger arranged with finned tube combinations of 4 mm in two rows, 6 mm in two rows, 8 mm in two rows, 10 mm in two rows, 12 mm in two rows, and 14 mm in ten rows arranged successively from front to back. When the heating exchanger’s inlet air speed is relatively high, this combination’s heat exchange capacity surpasses the original structure. Additionally, the uniformity of air-side temperature drop improved by 44.89%, while the finned area was reduced by 25.62%. Show more

Keywords: Electric heating solid energy storage heating system, finned tube heating exchanger, heat exchange performance, temperature non-uniformity coefficient

DOI: 10.3233/JCM-247137

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1283-1302, 2024

Authors: Hou, Jinhui | Zeng, Huanqiang | Cai, Lei | Zhu, Jianqing | Chen, Jing | Cai, Canhui

Article Type: Research Article

Abstract: Handwritten numeral recognition is a challenging problem in the character recognition field due to the large variation in the writing styles of different persons and high similarity in the contour of different numerals. To address this problem, an effective multi-task learning network (MTLN) for handwritten numeral recognition is presented in this paper. Based on the observation that the writing style could play an effective complementary role to the learned feature extracted from numerals, the proposed MTLN simultaneously performs the handwritten numeral learning module and the writing style learning module. Consequently, the determination of scratchy/non-scratchy in the writing style learning module …can effectively assist the handwritten numeral learning module to obtain a more robust and distinguishable feature so as to improve the recognition performance. Extensive experiments on multiple existing handwritten numeral datasets have demonstrated that the proposed MTLN can effectively improve the recognition accuracy, and outperform multiple state-of-the-art methods. Show more

Keywords: Handwritten numeral recognition, multi-task learning network, convolutional neural network

DOI: 10.3233/JIFS-169862

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 843-850, 2019