Article
Environmental Sciences
Di Huang, Lirong Gao, Minghui Zheng, Lin Qiao, Chi Xu, Kunran Wang, Shuang Wang
Summary: A non-target screening method was developed to quickly analyze multiple soil samples from a contaminated area. The study identified the types of organic compounds present in the soil samples and determined potential pollutants that may pose risks to the environment. This research is important for assessing environmental risks.
ENVIRONMENTAL RESEARCH
(2022)
Review
Computer Science, Artificial Intelligence
Wouter M. Kouw, Marco Loog
Summary: This review categorizes approaches in domain adaptation into sample-based, feature-based, and inference-based methods, highlighting the importance of conditions for formulating bounds on cross-domain generalization error.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Wenjie Mu, Bo Yin, Xianqing Huang, Jiali Xu, Zehua Du
Summary: This paper proposes a convolutional neural network model based on temporal-frequency attention to effectively learn time and frequency features from Log-Mel spectrogram. By designing experiments to verify the influence of specific frequency bands on model classification and introducing two new attention mechanisms, the network model's representation ability is greatly improved, demonstrating the effectiveness of the proposed method on two public datasets.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Hyeyun Lee, Soyoung Lee, Jaeseong Kim, Heesoo Jung, Kyung Jae Yoon, Srinivas Gandla, Hogun Park, Sunkook Kim
Summary: With the help of AI-based algorithms, the accuracy of gesture recognition using sEMG signals has increased. An array of bipolar stretchable sEMG electrodes, combined with a self-attention-based graph neural network, is developed to achieve highly accurate gesture recognition. The system can differentiate static and dynamic gestures with about 97% accuracy using a single trial per gesture. The array also has skin-like attributes and can provide stable EMG signals even after long-term testing and multiple reuses.
NPJ FLEXIBLE ELECTRONICS
(2023)
Article
Chemistry, Applied
Valber Elias de Almeida, David Douglas de Sousa Fernandes, Paulo Henrique Goncalves Dias Diniz, Adriano de Araujo Gomes, Germano Veras, Roberto Kawakami Harrop Galvao, Mario Cesar Ugulino Araujo
Summary: This paper introduces a new algorithm, PCA-DP-LDA, for solving classification problems of food data using PCA and LDA. Compared with conventional methods, PCA-DP-LDA achieves more parsimonious and interpretable results, with similar or better classification performance.
Article
Engineering, Electrical & Electronic
Xiaobo Zhu, Jiale Gao, Yijie Dai, Jianguo Zhang, Weidong Zhang, Daying Sun, Wenhua Gu
Summary: A novel human gait recognition method is proposed in this study, which effectively combines grid-less planar flexible pressure sensors and multilayer heterogeneous machine learning algorithms to accurately characterize the dynamic gait features of the human body. This method not only has high accuracy and low cost, but also has advantages such as multifunctionality, portability, and real-time monitoring. It provides important technical support for early intervention and rehabilitation treatments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Agnieszka Jastrzebska
Summary: This paper proposes a new approach to time series classification by transforming scalar time series into a two-dimensional space of amplitude and change of amplitude and using visual pattern recognition for classification. The effectiveness of the method is demonstrated through experiments and comparison with state-of-the-art approaches. The conversion of raw time series into images and feature extraction opens up possibilities for applying standard clustering algorithms.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Review
Immunology
Lu Zhang, Cui Jiao, Lingjuan Liu, Aiping Wang, Li Tang, Yi Ren, Peng Huang, Jie Xu, Dingan Mao, Liqun Liu
Summary: NLRC5, the largest member of the NLR family, plays a significant role in inflammatory processes, angiogenesis, immunity, and apoptosis by regulating various signaling pathways. Recent studies have also linked NLRC5 with neuronal development and CNS diseases.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Plant Sciences
Qian Xu, Jianrong Cai, Lixin Ma, Bin Tan, Ziqi Li, Li Sun
Summary: Huanglongbing (HLB) is a highly contagious and devastating citrus disease that causes huge economic losses to the citrus industry. Timely detection of the HLB infection status of plants and removal of diseased trees are effective ways to reduce losses. In this study, a vision system was developed for rapid HLB detection in the field, using reflection-transmission image acquisition and a step-by-step classification model.
Article
Environmental Sciences
Mengqi Yan, Hongkai Zhu, Yumeng Shi, Ke Xu, Shucong Chen, Qiang Zou, Hongwen Sun, Kurunthachalam Kannan
Summary: This study found the simultaneous presence of multiple flame retardants in indoor dust collected from Tianjin, China, with organophosphate flame retardants being the most dominant. The study also identified multiple sources of flame retardants in the indoor microenvironment and suggested the need for continued monitoring and efforts to reduce exposure through dust ingestion.
ENVIRONMENTAL POLLUTION
(2022)
Review
Environmental Sciences
D. M. Mazur, E. A. Detenchuk, A. A. Sosnova, V. B. Artaev, A. T. Lebedev
Summary: Environmental exposure assessment is crucial in identifying local priority pollutants and potential threats. Moscow is experiencing rapid growth, leading to environmental changes that require regular monitoring for classic pollutants and new contaminants. Gas chromatography - high resolution time-of-flight mass spectrometry was used to analyze snow samples collected in Moscow, revealing hundreds of organic compounds that could pose health risks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Information Systems
Ammar Mohammed Ali Alqadasi, Mohd Shahrizal Sunar, Sherzod Turaev, Rawad Abdulghafor, Md Sah Hj Salam, Abdulaziz Ali Saleh Alashbi, Ali Ahmed Salem, Mohammed A. H. Ali
Summary: This paper proposes a Rule-Based Phoneme Duration Algorithm to improve phoneme classification in Qur'anic recitation. The algorithm achieves outstanding accuracy, ranging from 99.87% to 100%, according to the Medd type. The obtained results significantly contribute to Qur'anic recitation recognition models.
Article
Computer Science, Information Systems
Abdul Wahab Muzaffar, Farhan Riaz, Tarik Abuain, Waleed Abdel Karim Abu-Ain, Farhan Hussain, Muhammad Umar Farooq, Muhammad Ajmal Azad
Summary: In this study, a novel rotation and scale invariant texture classification method based on Gabor filters is proposed. These filters are designed to capture the visual content of the images by their impulse responses, which are sensitive to rotation and scaling. The proposed method rearranges the filter responses and calculates patterns after binarizing the responses based on a specific threshold. The effectiveness of the proposed feature extraction method is demonstrated through experiments on famous texture datasets, and it is shown to be more robust to noise compared to other state-of-the-art methods considered in the study.
Article
Computer Science, Artificial Intelligence
Grazia Lo Sciuto, Giacomo Capizzi, Rafi Shikler, Christian Napoli
Summary: Physical defects in organic solar cells can reduce their functionality, emphasizing the need for proper detection and classification of these defects. Zernike moments are utilized to represent texture variations caused by defects, with high resistance to noise. An elliptical basis function neural network is used for classification, achieving an impressive 89.3% correct classification rate.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Review
Engineering, Electrical & Electronic
Ali Hanif, Muhammad Muaz, Azhar Hasan, Muhammad Adeel
Summary: This review article presents the evolution and recent advances in radar micro-Doppler based signature analysis and feature extraction. It also discusses the applications of micro-Doppler-based target classification techniques in defense and commercial sectors. The limitations and future trends in this field are also discussed.
IEEE SENSORS JOURNAL
(2022)
Correction
Biochemical Research Methods
Yong Wang, Suhua Yu, Rui Li, Jing Wan, Yuheng Wang, Zongli Huo, Chunyong Wu, Li Mi, Songqin Liu
JOURNAL OF CHROMATOGRAPHY A
(2024)
Review
Biochemical Research Methods
Israel D. Souza, Maria Eugenia C. Queiroz
Summary: Organic-silica hybrid monolithic materials have gained significant attention in separation science and sample preparation due to their unique properties. This review summarizes the characteristics, current status, and recent developments of these materials, as well as discusses synthesis methods, characterization techniques, and strategies for improving extraction efficiency in various applications.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Bhagwat Upreti, Bhanu Prasad Vempatapu, Jagdish Kumar, Pankaj K. Kanaujia
Summary: Lubricating oils are essential for the effective performance of internal combustion engines. This study presents a new HPLC method for determining additives in finished lubricating oils and polar substances in used engine oils.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zongqing Huang, Haoju Hua, Xiuzhen Du, Zipeng Zhen, Wei Zhao, Jun Feng, Ji-an Li
Summary: This study successfully isolated VHHs against the SUMO protein for the first time using biopanning of an immune camelid nanobody library. The VHHs were coupled to agarose resins to form affinity chromatography resins, allowing for one-step purification of various SUMO fusions.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Xueting Qiu, Xuben Hou, Yue Yang, Hao Fang, Fei Cui, Xinying Yang
Summary: In this study, a new method based on electrophoretically mediated microanalysis was developed for the investigation of PTPRO enzymatic activity. The method was successfully used to determine the kinetics of PTPRO and the inhibitory concentration of PTPRO inhibitors. The method exhibited improved accuracy and reduced consumption compared to traditional methods.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Feifei Luo, Mengmeng Hao, Lei Zhang, Yangguo Xie, Wei Hou, Hongya Wang, Zhongli Zhang
Summary: In this study, a comprehensive screening and structure elucidation of 23 nonvolatile organic compounds (NVOCs) in two antibody drugs was conducted. Seven previously unreported compounds were identified. A quantitative method with high sensitivity, accuracy, and precision was developed for evaluating the safety of NVOCs in drug products.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zuzana Vosahlova, Kveta Kalfkova, Martin Gilar, Jakub Szymarek, Maria Mazurkiewicz-Beldzinska, Sylwia Studzi
Summary: A hydrophilic interaction liquid chromatography method was developed for the separation and identification of oligonucleotide impurities and metabolites, and successfully applied to the analysis of serum samples from Spinraza-treated patients.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Aswanidevi Kongasseri, Thirumalai Madhesan, Sangeetha Krishna Kumar, Sushmitha Pedugu Sivaraman, Suchashrita Mitra, Pitchaiah Kancharlapalli Chinaraga, C. V. S. Brahmmananda Rao, Sivaraman Nagarajan, Prabhakaran Deivasigamani, Akhila Maheswari Mohan
Summary: This study focuses on the sequential separation of trivalent lanthanides using modified C-18 silica-packed supports and reversed-phase HPLC technique. By tuning the column modifiers and separation parameters, the researchers achieved systematic separation of Ln(3+). The results showed that the choice of column modifiers and fine-tuning of the modification procedure were crucial for achieving excellent separation.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Raquel Perez-Robles, Szabolcs Fekete, Robert Kormany, Natalia Navas, Davy Guillarme
Summary: There is a mismatch between the sample diluent and the mobile phase in HILIC analysis, leading to analyte breakthrough and peak distortion. Adding a weak solvent for pre-injection can effectively prevent these issues and improve sensitivity.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Oleg Pokrovskiy, Irina Rostovschikova, Konstantin Ustinovich, Ilya Voronov, Dmitry Kosyakov
Summary: A chromatography-like propagation of water through the material bed was observed during supercritical fluid extraction of aroma plants with high moisture content, which could be significant for modeling the kinetics of supercritical fluid extraction of non-volatile compounds.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Yasar Kemal Recepoglu, Ozguer Arar, Asli Yuksel
Summary: Biosorption using phosphorylated hazelnut shell waste (FHS) is a promising method for lithium removal and recovery. This study investigated the performance of a continuous-flow packed-bed column system using FHS for ultra-low level lithium removal. The results showed that the lihium biosorption capacity of the FHS column was unaffected by the bed height, but decreased with increasing flow rate.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Jian Sun, Zheheng Zheng, Zixiao Jia, Jiabin Wang, Xucong Lin
Summary: In this study, an ionic covalent organic framework (iCOF) surface grafting monolithic sorbent was prepared for in-tube solid-phase microextraction (SPME) of aristolochic acids (AAs) in various samples. The density of quaternary ammonium ions in the iCOF was modulated for enhanced adsorption of AAs. The iCOF surface grafting monolithic sorbent was confirmed by different means. Several operating conditions were optimized to develop the online in-tube SPME-HPLC method, which showed good linearity, low limits of detection, and high recoveries for AAs in serum samples. This study presents a feasible approach for the application of COF-based monolithic sorbents in sample preparation.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zeng Wen, Ruihan Peng, Die Gao, Jing Lin, Jia Zeng, Zhou Li, Famin Ke, Zhining Xia, Dandan Wang
Summary: A chitosan-alginate sponge with multiple cross-linking networks was developed for adsorption and enrichment of anionic dyes from food samples. The sponge showed better three-dimensional network structure, mechanical behavior, and stability compared to pure chitosan and alginate sponges. The adsorption performance and selectivity of the sponge were systematically studied, and it maintained high adsorption capacity and selectivity for anionic dyes. The sponge also showed satisfactory reusability and was successfully combined with high-performance liquid chromatography for the enrichment and detection of anionic dyes in candy and cocktail samples.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Hairong Zhang, Xiaojuan Jiang, Dandan Zhang, Yuexin Yang, Qiang Xie, Caisheng Wu
Summary: Analysis of in vivo exposure to traditional Chinese medicine using mass spectrometry is helpful for identifying effective ingredients and developing new drugs. This study focused on Forsythia suspensa (Lian Qiao) and used metabolomics technology to explore its in vivo exposure. By comparing the differences before and after administration, a complete set of nontargeted analysis strategies for TCM exposure was established. The study identified 393 Lian Qiao-related chemical components in mice after administration, including prototypes and metabolites. This study provides a reference for research on the active ingredients of Lian Qiao in vivo.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Oscar Castejon-Musulen, Ricardo Lopez, Ignacio Ontan, Vicente Ferreira
Summary: A quantitative analytical method was developed and validated in this study to determine the concentrations of 81 aroma-relevant wine volatiles. The method utilizes stir bar sorptive extraction and multidimensional gas chromatography with flame ionization detector or mass spectrometer. The method demonstrated good linearity, reproducibility, and recovery, and was successfully applied to analyze 20 wine samples.
JOURNAL OF CHROMATOGRAPHY A
(2024)