Article
Automation & Control Systems
Runmei Li, Zherui Zhong, Jin Chai, Jian Wang
Summary: This paper proposes a CC-LSTM vehicle trajectory prediction model that combines clustering analysis and feature fusion, which can meet the real-time and accuracy requirements of autonomous vehicles in complex driving environments.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Shaohua Jiang, Zheng Chen
Summary: This paper studied speech recognition based on the DTW algorithm and introduced the specific steps of speech recognition. Experimental results showed that DTW-based speech recognition has a high recognition rate and fast recognition speed.
Article
Biochemistry & Molecular Biology
Michael Altenbuchinger, Henry Berndt, Robin Kosch, Iris Lang, Juergen Doenitz, Peter J. Oefner, Wolfram Gronwald, Helena U. Zacharias
Summary: Untargeted metabolomics is a powerful tool for discovering disease biomarkers and understanding the underlying mechanisms. Nuclear magnetic resonance (NMR) spectroscopy, due to its reproducibility and cost effectiveness, is well-suited for large-scale untargeted metabolomics studies. This study introduces a novel 1D NMR feature extraction procedure called Bucket Fuser (BF), which improves the detection of metabolic biomarkers by dynamically constructing NMR metabolite features. BF outperforms existing methods in extracting metabolite signals and identifying statistically significant features in differential metabolite analyses. The BF algorithm is computationally efficient and can handle small sample sizes.
Article
Chemistry, Applied
Mu Zhao, Ting Li, Fan Yang, Xinyue Cui, Tingting Zou, Huanlu Song, Ye Liu
Summary: This study characterized the composition of volatile aroma compounds and key aroma-active compounds in dried Hanyuan Zanthoxylum bungeanum. The results identified several key aroma-active compounds such as myrcene and limonene.
Article
Computer Science, Information Systems
I. Michael Revina, W. R. Sam Emmanuel
Summary: Facial expression recognition is a powerful tool for social communication, involving preprocessing, feature extraction, and classification stages, with performance of different FER techniques compared based on the number of expressions recognized and algorithm complexity.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Review
Agriculture, Multidisciplinary
R. Manavalan
Summary: This paper presents a comprehensive computational method for diagnosing cotton leaf diseases to improve productivity by analyzing various stages of the plant-pathogen system. The paper finds that current automated identification methods for cotton crop diseases are still in their infancy and discusses the issues behind the computational approaches of plant pathogens in-depth. The strengths and weaknesses of existing methods are highlighted, and future directions for research are presented. Therefore, there is a need for novel, fully automatic computer-assisted systems to detect and classify numerous diseases in cotton plants.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Chemistry, Applied
Xuejie Li, Xiangquan Zeng, Huanlu Song, Yu Xi, Yan Li, Bowen Hui, He Li, Jian Li
Summary: GC x GC-O-TOF-MS and GC-IMS have been increasingly used in complex food flavor analysis, but few studies have applied these techniques to identify the aroma components of tomato pastes. This study comprehensively characterized the aroma profiles of cold and hot break tomato pastes using SAFE-GC-O-MS, SAFE-GC x GC-O-TOF-MS, and HS-GC-IMS for the first time. A total of 274 volatile compounds were identified, which is far more than previously reported.
Article
Energy & Fuels
Sumit Kumar, Suryendu Dutta
Summary: The study demonstrates the improved characterisation of aromatic hydrocarbon biomarkers using comprehensive GC x GC-TOFMS, which helps in resolving many individual peaks. This technique achieved exceptional chromatographic separation of higher plant triterpenoids, triaromatic steroids, and methylated 2-methyl-2-(4,8,12-trimethyltridecyl) chromans in a complex aromatic fraction of a Cenozoic crude oil.
Article
Engineering, Biomedical
S. Balasubramaniam, K. Satheesh Kumar
Summary: The COVID-19 pandemic has had a detrimental impact on people's lives worldwide. This study presents a COVID-19 detection system with three key steps: preprocessing, feature extraction, and classification. Various deep learning and texture feature extraction methods are applied, and multiple classification models, including SVM, CNN, NN, and RF, are used for accurate and precise classification.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Review
Medicine, General & Internal
Taqwa Ahmed Alhaj, Inshirah Idris, Fatin A. Elhaj, Tusneem A. Elhassan, Muhammad Akmal Remli, Maheyzah Md Siraj, Mohd Shafry Mohd Rahim
Summary: COVID-19 was first discovered in Wuhan in December 2019 and has since affected every region in the world, causing thousands of illnesses and hundreds of deaths. The combination of medical imaging and artificial intelligence has the potential to enhance the efficiency of the public health system and provide faster and more reliable detection of COVID-19. This study proposes a new taxonomy for the early stages of COVID-19 detection, taking into account all phases prior to classification.
Review
Computer Science, Information Systems
Sanasam Inunganbi
Summary: This paper presents an overview of the research progress and application demand in the field of character recognition. It discusses the history, steps, and techniques of character recognition, and highlights the importance of offline handwritten recognition systems.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Chemistry, Applied
Yanmei Zhang, Xiaobei Li, Zhiyong Zhao, E. Hengchao, Tingting Fan, Hui Dong, Xiangwei He, Xiaoyan Zhao, Lihua Tang, Changyan Zhou
Summary: This study used a new method to detect and quantify the metabolites in two cultivars of morel mushrooms. The results showed that the flavor differences between the two morel cultivars were closely related to the content of lipids, carbohydrates, amino acids and derivatives, alcohols and ketones.
Article
Computer Science, Information Systems
Zhaobin Wang, Xiong Gao, Jing Yang, Qizhen Yan, Yaonan Zhang
Summary: In this paper, we propose a fusion-based method for human ear recognition, which consists of preprocessing, feature extraction, and classification decision. The experimental results demonstrate the superiority of our algorithm in terms of accuracy on six commonly used datasets.
MULTIMEDIA SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
Summary: This article reviews the design principles and different node embedding techniques for network representation learning (NRL) over homogeneous networks. It introduces a unified reference framework for comparing different node embedding algorithms and highlights representative methods and models used at different stages of the node embedding model learning process. This survey not only helps researchers and practitioners gain an in-depth understanding of different NRL techniques but also provides practical guidelines for designing and developing the next generation of NRL algorithms and systems.
ACM COMPUTING SURVEYS
(2023)
Article
Food Science & Technology
Xiaobei Li, Yanmei Zhang, E. Hengchao, Xiangwei He, Jianying Li, Xiaoyan Zhao, Changyan Zhou
Summary: This study aimed to investigate the volatile profiles of M. sextelata under three dehydration methods: freeze, hot air, and natural air drying. It was found that comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry was the best choice to differentiate the volatile profiles. Freeze-dried samples had the most abundant volatile compounds, while hot air-drying promoted the production of compounds with roasted flavor and natural air-drying resulted in unpleasant acids releasing.
FOOD RESEARCH INTERNATIONAL
(2023)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)