Article
Engineering, Civil
Jian Chen, Michael J. Chajes, Harry W. Shenton, Christos Aloupis
Summary: Structural health monitoring allows efficient and accurate evaluation of bridge conditions. This study proposes a novel methodology using statistical pattern recognition to detect abnormal responses in the Indian River Inlet Bridge. The methodology calculates strain threshold indices and establishes decision boundaries, effectively detecting simulated damage and providing practical guidance for bridge owners.
JOURNAL OF BRIDGE ENGINEERING
(2022)
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
Chemistry, Multidisciplinary
Brandon J. Furey, Benjamin J. Stacy, Tushti Shah, Rodrigo M. Barba-Barba, Ramon Carriles, Alan Bernal, Bernardo S. Mendoza, Brian A. Korgel, Michael C. Downer
Summary: Colloidal nanocrystalline silicon quantum dots (nc-SiQDs) excited by two-photon in the near-infrared (NIR) range have potential applications in deep biological imaging. The two-photon absorption (2PA) cross section of colloidal nc-SiQDs is measured, and it is found to be smaller for smaller diameter nanocrystals. The efficiencies of nc-SiQDs for bioimaging using two-photon excited photoluminescence (2PE-PL) are compared to other quantum dots and molecular fluorophores and found to be comparable or superior at greater depths.
Article
Engineering, Manufacturing
Fei Cheng, Jingyan Dong
Summary: This study proposed an online statistical pattern recognition method using an incremental adaptive support vector machine to detect severe tip wear in nanomachining. By analyzing the nanomachining force data, the method achieved accurate detection and monitoring of tip wear, showing promising results for online damage detection in the nanomachining process.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Review
Chemistry, Analytical
Vinayak Juvekar, Hyo Won Lee, Dong Joon Lee, Hwan Myung Kim
Summary: Two-photon microscopy is an important tool for deep-tissue imaging, providing high-resolution fluorescence images beyond millimeter depths. Recent research has focused on developing innovative strategies and probes for quantitative analysis using two-photon fluorescence.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
M. Altinay Gunler Pirim, Hakan Tora, Kasim Oztoprak, Ismail Butun
Summary: This paper proposes a novel feature generator framework for handwritten digit classification, which includes a two-stage cascaded feature generator. The proposed framework outperforms state-of-the-art techniques and achieves high accuracies on MNIST and USPS datasets when coupled with MDC and SVM classifiers.
Article
Computer Science, Artificial Intelligence
Pawel Ksieniewicz
Summary: The paper proposes a new ensemble method - Covariance-signature Concept Selector - for the classification of data stream susceptible to the concept drift phenomenon. Unlike existing methods, this method performs static classifier selection by assessing model similarity to the currently processed data chunk as a concept selector. Experimental analysis demonstrates the advantage of this method over state-of-the-art methods in addressing specific problems and its high potential in practical applications.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Xinying Pang, Ying Zhang, Yitian Xu
Summary: In this paper, a novel method called MTTHSVM is proposed to address multi-task classification problems. It generates two hyperspheres for each task, enabling better representation of the distribution information of training samples. The method outperforms RMTL and DMTSVM in terms of computational efficiency. Experimental results validate the effectiveness of MTTHSVM.
INFORMATION SCIENCES
(2022)
Article
Engineering, Civil
Saharnaz Nazari, Hai Huang, Tong Qiu
Summary: This study utilizes statistical pattern recognition technique and data input from SmartRock sensors to develop a method for timely detection of ballast fouling. The method successfully distinguishes between different ballast conditions based on the data sets obtained. The study shows the potential suitability of this method for maintenance planning.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Chemistry, Multidisciplinary
Xianghua Wu, Yuxun Lu, Bo Liu, Yu Chen, Junfeng Zhang, Ying Zhou
Summary: Hydrogen sulfide (H2S) serves as a crucial signaling molecule in biological systems and can be utilized as a trigger for new drug release, benefiting cancer bio-imaging and therapy. The designed fluorescent theranostic prodrug compound can specifically react with H2S, releasing active therapeutic components, showing potential for cancer treatment.
CHINESE CHEMICAL LETTERS
(2021)
Article
Chemistry, Applied
Simon Pascal, San-Hui Chi, Alexei Grichine, Veronique Martel-Frachet, Joseph W. Perry, Olivier Maury, Chantal Andraud
Summary: This study reports the synthesis and optical properties investigation of amino-heptamethines, providing new insights into the two-photon absorption of this type of chromophores and exploring their potential for bio-imaging of living cells.
Article
Engineering, Biomedical
Hui Wang, Pingao Huang, Tinghan Xu, Guanglin Li, Yong Hu
Summary: This paper presents a novel approach for myoelectric control by designing a fabric myoelectric armband to reduce electrode shifts. A fully unsupervised adaptive method called hybrid serial classifier (HSC) is proposed to eliminate the need for retraining. The performance of the approach is investigated using a dataset of forearm motion and compared with other algorithms, showing higher classification accuracy.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Automation & Control Systems
Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak
Summary: The detection of disinformation is challenging in the modern world due to the decentralized nature of communication media and the lack of initial verification of published content. This paper proposes an Alphabet Flatting method, which is a modification of the preprocessing method for feature extraction from large language corpora. The method employs pattern recognition and Natural Language Processing models to construct classifier ensembles that can compete with state-of-the-art models in environments with time constraints. Thorough evaluations through computer experiments show the potential usefulness of this method in automatic systems for preventing the spread of fake news.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Biotechnology & Applied Microbiology
Peng Li, Haonan Zhan, Sijian Tao, Zhuohao Xie, Jiahao Huang
Summary: This study develops a biosensor for the effective determination of malathion using aptamers, gold nanoparticles, and polycationic proteins. The aggregation of gold nanoparticles is hindered by the interaction between aptamers and polycationic proteins, resulting in a color change from red to blue when aptamer-specific malathion is introduced. The assay has a detection limit as low as 1.48 μg/L and shows high selectivity and good applicability for the quantification of malathion.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Engineering, Environmental
Chu-Yao Zhong, Liangyan Xiao, Jielin Zhou, Zhifeng Chen, Yibo Chen, Jin Z. Zhang, Zhao-Qing Liu
Summary: Developing biocompatible two-photon photoluminescence bio-probes is challenging. This study encapsulated single perovskite nanocrystals into silica nanoshells to prevent leakage and investigated their photoluminescence properties and potential for bio-imaging. The core-shell nanocrystals exhibited good two-photon absorption properties and emitted green light. They also demonstrated excellent biocompatibility and higher fluorescence intensity in cell imaging compared to the control group under 800 nm laser illumination.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Neurosciences
Yang He, Jun Tang, Meng Zhang, Junjie Ying, Dezhi Mu
Summary: This study investigated the protective effects and mechanisms of human placenta derived mesenchymal stem cells (hPMSCs) transplantation in a rat model of hypoxic-ischemic encephalopathy (HIE). The results showed that hPMSCs transplantation reduced apoptosis and improved long-term neurological prognosis. Furthermore, the downregulation of Sema 3A/NRP-1 expression and activation of the PI3K/Akt/mTOR signaling pathway played a key role in the protective effects of hPMSCs.
Article
Neurosciences
Emily L. Isenstein, Edward G. Freedman, Jiayi Xu, Ian A. DeAndrea-Lazarus, John J. Foxe
Summary: This study evaluated electrophysiological discrimination of parametric somatosensory stimuli in healthy young adults to understand how the brain processes the duration of tactile information. The results showed that participants did not electrophysiologically discriminate between 100 and 115 ms, but they exhibited distinct electrophysiological responses when the deviant stimuli were 130, 145, and 160 ms. These findings contribute to a better understanding of tactile sensitivity in different clinical conditions.
Article
Neurosciences
Juliana R. Souza, Ludmila Lima-Silveira, Daniela Accorsi-Mendonca, Benedito H. Machado
Summary: This study demonstrates that A2A receptors play a crucial role in modulating synaptic transmission in the NTS neurons and are required for the enhancement of glutamatergic transmission observed under short-term sustained hypoxia conditions.
Article
Neurosciences
Miki Hashizume, Rina Ito, Rie Suge, Yasushi Hojo, Gen Murakami, Takayuki Murakoshi
Summary: The basolateral amygdaloid complex (BLA) is closely involved in the formation of emotional memories, including both aversive memory and contextual fear memory. Acute sleep deprivation (SD) disrupts the acquisition of tone-associated fear memory in juvenile rats, but has no significant effect on contextual fear memory. Slow network oscillation in the amygdala contributes to the formation of amygdala-dependent fear memory in relation to sleep.
Article
Neurosciences
Qunxian Wang, Shipeng Guo, Dongjie Hu, Xiangjun Dong, Zijun Meng, Yanshuang Jiang, Zijuan Feng, Weihui Zhou, Weihong Song
Summary: GSDME plays a crucial role in the pathogenesis of Alzheimer's disease by regulating the switch from apoptosis to pyroptosis and participating in neuroinflammatory response. Knockdown of GSDME has been shown to improve cognitive impairments, indicating that GSDME could be a therapeutic target for Alzheimer's disease.