Article
Chemistry, Applied
Zhihang Zhuo, Danping Xu, Yaping Li, Biao Pu, Meng Ye
Summary: An effective and reliable HPLC method was established for fingerprint analysis of Zanthoxylum armatum, showing stable and accurate results in similarity evaluation, hierarchical cluster analysis, and principal component analysis. The study found that the quality of Z. armatum samples was good and could be effectively applied in quality assessment.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2021)
Article
Chemistry, Analytical
Yasunori Hamazaki, Masaru Kato, Koji Karasawa
Summary: In this study, a method using fluorescence fingerprint analysis and principal component analysis was developed to discriminate the geographical origin of Picrasma quassioides. The content of methylnigakinone in P. quassioides was successfully determined using this method. The results suggest that the developed method is simple, quick, and of great importance for confirming the origin of P. quassioides.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Chemistry, Analytical
Yasunori Hamazaki, Masaru Kato, Koji Karasawa
Summary: In this study, a method was developed to determine the geographical origin of Picrasma quassioides using fluorescence fingerprint analysis and principal component analysis. The developed method is simple, quick, and has minimal environmental impact.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Neurosciences
Hilmar R. J. van Weering, Tjalling W. Nijboer, Maaike L. Brummer, Erik W. G. M. Boddeke, Bart J. L. Eggen
Summary: Microglia are resident macrophages that play a key role in immune surveillance and maintaining CNS homeostasis. This study provides a computational pipeline for image segmentation, feature extraction, and morphological categorization of microglia using hierarchical clustering on principal components. The pipeline revealed regional variations in microglia morphologies but found no evidence of male-female differences in adult mice. The findings highlight the value of the pipeline for unbiased identification and classification of microglia in CNS (disease) models.
Article
Chemistry, Physical
Wenwen Chen, Ao Li, Jiaolong Wang, Hong Zhong, Jing Yuan, Yong Luo, Jialin Ou, Jian Chen, Liang Li
Summary: In this study, a promising Cat-K inhibitor was identified from a series of compounds using QSAR and molecular docking approaches. Robust three-dimensional QSAR models were built using different molecular fingerprints and minimization algorithms, leading to the discovery of ideal CoMFA and CoMSIA models. Compound 19OX32 was identified as a promising Cat-K inhibitor due to its predicted activity and docking score.
JOURNAL OF MOLECULAR STRUCTURE
(2021)
Article
Forestry
Yitong Li, Yanghua Yu, Yanping Song, Changsheng Wei
Summary: This study aimed to investigate the effect of different planting combinations on the amino acid concentration in the pericarp of Zanthoxylum planispinum and clarify the response to soil factors. The results showed that the planting combination significantly influenced the concentration of amino acids, especially essential amino acids. The concentration of free amino acids mostly increased when combined with Sophora tonkinensis and decreased when combined with Prunus salicina. Principal component analysis indicated that the amino acid concentration was generally higher when combined with Sophora tonkinensis or Lonicera japonica, with the amino acids from Zanthoxylum planispinum and Sophora tonkinensis being closer to the FAO/WHO protein standard. Soil factors such as available potassium, available phosphorus, microbial biomass nitrogen, available calcium, and microbial biomass phosphorus had significant effects on amino acid concentration. Based on soil quality and amino acid quality, planting with Lonicera japonica can improve the amino acid quality of Zanthoxylum planispinum, making it the optimal planting combination.
Article
Chemistry, Applied
Xiaoyu Fan, Tingting Hong, Qilin Yang, Dilei Wang, Jing Peng, Wuqing Xiao, Xueying Yang, Xiaohong Hu, Chongli Yu, Shouying Du, Jie Bai
Summary: A method based on fingerprinting and chemometrics was developed to explore the influence of licorice origin on the quality of fried licorice. The results showed that the model was stable, reliable, and accurate in predicting licorice origin and provided a reference for origin traceability.
Article
Mechanics
Chao Xia, Mengjia Wang, Yajun Fan, Zhigang Yang, Xuzhi Du
Summary: We propose a novel reduced-order model and examine its applicability to the complex three-dimensional turbulent wake of a generic square-backed bluff body called the Ahmed body. Training datasets are obtained by large eddy simulation. The model reduction method consists of a Visual Geometry Group (VGG)-based hierarchical autoencoder (H-VGG-AE) and a temporal convolutional neural network (TCN). The H-VGG-AE-based TCN is more effective in terms of spatiotemporal predictions.
Article
Environmental Sciences
Lijing Wang, Peter K. Kitanidis, Jef Caers
Summary: Bayesian inversion is commonly used to quantify uncertainty of hydrological variables. This paper proposes a hierarchical Bayesian framework to quantify uncertainty of both global and spatial variables. The authors present a machine learning-based inversion method and a local dimension reduction method to efficiently estimate posterior probabilities and update spatial fields. Using three case studies, they demonstrate the importance of quantifying uncertainty of global variables for predictions and the acceleration effect of the local PCA approach.
WATER RESOURCES RESEARCH
(2022)
Article
Computer Science, Information Systems
Ang Li, Jingqi Fu, Huaming Shen, Sizhou Sun
Summary: An indoor positioning algorithm based on principal component analysis (PCA) and adaptive hierarchical clustering has been proposed to improve positioning accuracy by aggregating reference points and conducting cluster-based PCA feature extraction. Experimental results show that this algorithm can increase positioning accuracy by 9.3% compared to traditional fingerprint algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Theory & Methods
Alhadi Bustamam, Haris Hamzah, Nadya A. Husna, Sarah Syarofina, Nalendra Dwimantara, Arry Yanuar, Devvi Sarwinda
Summary: This study aims to develop new DPP-4 inhibitors for the treatment of type 2 diabetes with low adverse effects using QSAR models built with Rotation Forest and Deep Neural Network. K-modes clustering and CatBoost are utilized for molecule selection and feature selection, resulting in QSAR models with high performance metrics. The study concludes that feature selection using CatBoost before building QSAR models is essential for accurate predictions.
JOURNAL OF BIG DATA
(2021)
Article
Food Science & Technology
Huan Cheng, Wenyan Wu, Jin Chen, Haibo Pan, Enbo Xu, Shiguo Chen, Xingqian Ye, Jianle Chen
Summary: The study found that anthocyanin content plays a significant role in distinguishing the geographical origin of black wolfberries, making it a useful chemical marker for identification. By analyzing the chemical compositions and anthocyanin fingerprints of black wolfberries from different provinces, the study identified new individual anthocyanins and demonstrated a clear separation of geographical origins based on anthocyanin profiles.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Jehn-Ruey Jiang, Hanas Subakti, Hui-Sung Liang
Summary: This paper proposes a fingerprint-based indoor localization method called FPFE, utilizing BLE beacon nodes and feature extraction from a database to locate a target device. Experimental results show an average localization error of 0.68 m for FPFE, outperforming other BLE fingerprint-based indoor localization methods.
Article
Biochemistry & Molecular Biology
Kexin Zhou, Meiqi Liu, Jie Gao, Yi Liu, Xiaoliang Ren, Lili Sun, Yanan Liu
Summary: In this study, qualitative and quantitative analysis of Polygonati Rhizoma (PR) from three different origins were performed using chemical fingerprint and chemometrics methods. The results showed that PR samples could be classified into three clusters according to their origins. Pairwise comparison of different species of PR and identification of chemical markers were also conducted. The study provides novel ideas for evaluating herbal products used in Traditional Chinese Medicine (TCM).
CHEMISTRY & BIODIVERSITY
(2023)
Article
Chemistry, Applied
Jiahui Liu, Junzhe Wan, Yu Zhang, Xiaoyan Hou, Guanghui Shen, Shanshan Li, Qingying Luo, Qingye Li, Man Zhou, Xingyan Liu, Chenggang Wen, Xiang Zhu, Zhiqing Zhang
Summary: In this study, the quality indexes and sensory evaluation of Zanthoxylum armatum DC. from the main production areas in Southwest China were analyzed. Correlation analysis, principal component analysis, and cluster analysis were used to comprehensively evaluate the quality characteristics of Z. armatum. The results showed significant correlations between sensory and physicochemical indexes, and a comprehensive evaluation model of quality was established based on principal component analysis. Different grouping results were obtained through cluster analysis, and the content of hydroxyl-sanshools, linalool content, and b* value were identified as the quality characteristic indexes of Z. armatum in Southwest China. This work provides important references for Z. armatum quality evaluation and product development.
Article
Agricultural Engineering
Jingmo Zhou, Shubin Wu, Ying Liu
Summary: Expenditure isolation of lignin and the understanding of its structural variations during different isolation processes are crucial for the high-value utilization of lignin. This study proposed a green deep eutectic solvent (DES) consisting of choline chloride, ethylene glycol, and 4-chlorobenzene sulfonic acid for rapid lignin separation from poplar. The structural variations of DES lignin and its relationship with alkali pre-extraction of hemicellulose were investigated. The results showed that alkali pretreatment enhanced the DES separation of lignin and promoted the cleavage of specific linkages, resulting in reduced molecular weight and thermal stability of isolated DES lignin. Moreover, DES lignin obtained from integrated utilization displayed higher purity and S/G ratio compared to lignin obtained from direct DES treatment.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Yuping Li, Ziyan Xie, Yun Huang, Jiangyi Zeng, Chao Yang, Ling Yuan, Ying Wang, Yongqing Li
Summary: In this study, the characteristic flavonoids (CFs) of three licorice species were identified through integrated metabolic and transcriptomic analysis. The key regulators of CF biosynthesis were also identified. These findings provide valuable information for understanding the biosynthesis of CFs and future breeding of Glycyrrhiza varieties.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Xianjie Pan, Zhaoyi Luo, Fanqi Liu, Quanqian Yi, Yanning Zeng
Summary: This study presents a novel strategy for fabricating fully bio-based epoxy vitrimers using peach gum and itaconic acid, which exhibit superior mechanical properties and thermostability. The materials were characterized and the self-healing and recycling capabilities were evaluated. The results demonstrate the potential of using these materials for sustainable industrial applications.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Mohsen Sabzi-Nojadeh, Mohammad Pouresmaeil, Mina Amani, Mehdi Younessi-Hamzekhanlu, Filippo Maggi
Summary: This study shows that inoculating Summer savory plants with endophytic fungus Trichoderma harzianum can improve plant growth and increase salt tolerance. The fungus enhances growth, restores chlorophyll and antioxidant levels, reduces harmful substances, and increases proline and soluble sugar levels, thereby increasing crop productivity in saline conditions.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Yu Liu, Lei Li, Aichen Zhao, Xiuming Song, Lulu Wei, Mengdi Fang, Chuchu Zheng, Xiaodong Zhu
Summary: This study investigates the impact of peppermint essential oil microcapsules on the unpleasant odor emissions from wax oil coated wood products. The results show that microcapsules can improve the time and stability of odor release.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Mesut Budak, Mirac Kilic, Hikmet Guenal, Ismail Velik, Mesut Sirri
Summary: This study assessed land suitability for rapeseed production using topography, climate, and soil data by analytical hierarchy process (AHP) and the Mamdani Fuzzy Inference System (MFIS). The study area covered land in the Diyarbakir province of southeastern Turkiye. The results indicated the proportions of different land suitability classes and showed the compatibility of AHP and MFIS methods in assessing suitability.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Rui Tian, Yue Liu, Chao Wang, Weikun Jiang, Srinivas Janaswamy, Guihua Yang, Xingxiang Ji, Gaojin Lyu
Summary: In this study, hollow and solid lignin nanoparticles were synthesized through self-assembly and their application in PVA nanocomposite films was investigated. The results showed that the presence of hollow lignin nanoparticles in the films resulted in a room-like network structure, while the solid lignin nanoparticles induced different structural changes. The inclusion of LNPs improved the mechanical properties of the films, and both types of LNPs exhibited good hydrophobicity.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Marcos Vinicius Silva de Andrade, Simone Ribeiro Lucho, Renato Delmondez de Castro, Paulo Roberto Ribeiro
Summary: Stevia rebaudiana Bertoni, commonly known as stevia, is a widely cultivated shrub with highly sweetening metabolites. It has gained significant interest in the food and beverage industries due to its extremely sweet taste and various health benefits. Researchers are currently focused on studying biotechnological strategies to enhance the biosynthesis of stevia plant metabolites for improved cultivation and production.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Eleonora Cintura, Paulina Faria, Luisa Molari, Luca Barbaresi, Dario D'Orazio, Lina Nunes
Summary: This study investigated the properties of Arundo donax as a building material and found that it has strong adaptability, high hygroscopicity, and unique sound absorption behavior. The mechanical tests also demonstrated the applicability of the Arundo donax-based composite. This opens up new possibilities for the further application of Arundo donax-based materials.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Stiina Kotiranta, Juha-Matti Pihlava, Titta Kotilainen, Pauliina Palonen
Summary: The effect of light spectra, particularly far-red and short wavelength radiation, on the growth and secondary metabolites of cannabis is significant. Altering the R:FR ratio can increase the concentration and yield of secondary metabolites, while short wavelength radiation does not significantly affect plant morphology and secondary metabolite concentrations.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Xuze Liu, Fangmin Liang, Jinyuan Cheng, Xuelian Zhou, Jia Wang, Guigan Fang, Kuizhong Shen, Xianzhi Meng, Chen Huang, Arthur J. Ragauskas
Summary: A novel Na2S-facilitated DES pretreatment method was proposed to fractionate moso bamboo, which achieved high lignin removal and preserved most cellulose and hemicellulose with excellent enzymatic digestibility.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Zechun Ren, Xinyuan Zhou, Kejiao Ding, Tong Ji, Hao Sun, Xiang Chi, Yunzhao Wei, Min Xu
Summary: This study prepared a thermal/magnetic/light-triggered multi-stimuli responsive shape memory polymer composite with excellent properties by adding magnetic nanoparticles into a polyurethane composite. The composite showed high shape recovery rate, fast response behavior, and suitability for 3D printing. Controllable external stimuli allowed for dynamic, remote, and precise control of 4D transformations. This work is significant for the design of smart materials and devices.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Yurany Camacho Ardila, Jaiver Efren Jaimes Figueroa, Maria Regina Wolf Maciel
Summary: The higher heating value (HHV) and elemental composition are important properties of biomass, and their prediction using proximate and ultimate analysis is accurate.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Xiaohan Chen, Xianke Wang, Lili Shang, Xinxin Ma, Changhua Fang, Benhua Fei, Huanrong Liu, Shuqin Zhang
Summary: This study focuses on the comprehensive characterization of the three-dimensional (3D) structure of bamboo parenchyma and the evaluation of its tensile and compressive properties, as well as the analysis of its failure mechanisms. The study found that the measured tensile strength and elastic modulus of the parenchyma tissue are 48.81 MPa and 706.48 MPa, respectively. Compression failure modes in parenchyma tissue encompass compression bending and cell fracture, shear failure of the middle lamella, and detachment and debonding of the cell wall.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Agricultural Engineering
Tianfeng Liu, Yuxin Liu, Yunlin Fu, Mengji Qiao, Penglian Wei, Zhigao Liu, Yingjian Li
Summary: This study explored the formation mechanism of agarwood induced by fungus and its potential application in high-quality and high-yielding agarwood production. The results showed that the transition layer played a critical role in the continuous accumulation of agarwood, and the parenchyma cells of the xylem rays and interxylary phloem were the main action site of fungus. The accumulation and distribution of chemical composition in different layers were also investigated. The study identified the drivers of specific compounds and provided a theoretical foundation for future agarwood production.
INDUSTRIAL CROPS AND PRODUCTS
(2024)