Article
Chemistry, Multidisciplinary
An-Ju Hsueh, Nurul Asyikeen Ab Mutalib, Yusuke Shirato, Hiroaki Suzuki
Summary: Bipolar electrodes with arrays of cathodic and anodic poles were developed for use in closed bipolar systems. The sensitivity and linear range of the device could be adjusted by changing the driving voltage and the area ratio between the cathodic and anodic poles. The device was capable of sensing and imaging H2O2 as well as detecting DNA.
Article
Engineering, Environmental
Jiawei He, Yulin Xu, Sai Luo, Jingsheng Miao, Xiaosong Cao, Yang Zou
Summary: Multi-resonance (MR) emitters based on boron-nitrogen doped polycyclic aromatic hydrocarbons are advanced materials for organic light-emitting diodes (OLEDs) with high photoluminescence quantum yield and narrowband emission spectra. However, the development of pure-red MR emitters has been challenging due to weak charge transfer and large molecular weight. This study successfully designed and synthesized two novel MR emitters, PXZBNO and PTZBNO, by introducing strong electron donating moieties. These emitters exhibited pure-red emission, high efficiency, and color purity, making them promising for OLED applications.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Biomedical
Xiaohui Chen, Zicong Zhang, Wenshuai Luo, Zeyan Zhuang, Zujin Zhao, Lei Wang, Dong Wang, Ben Zhong Tang
Summary: In this study, a photoactivatable fluorescent probe, TPA-DHPy, was designed to monitor the changes of lipid droplets and endoplasmic reticulum in cancer cells under oxidative stress. The probe could induce in situ oxidative stress and inhibit tumor growth through photodynamic therapy.
Article
Engineering, Environmental
C. Genethliou, I. E. Triantaphyllidou, D. Giannakis, M. Papayianni, L. Sygellou, A. G. Tekerlekopoulou, P. Koutsoukos, D. V. Vayenas
Summary: In this study, natural zeolite was used for the simultaneous removal of NH4+-N, d-COD and color from SLL, showing efficient removal of NH4+-N under optimized conditions and the potential for slow release nitrogen fertilizer. SEM and XPS analysis revealed significant changes in zeolite structure and ion exchange during the adsorption process.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Materials Science, Ceramics
Wasim Ullah Khan, Waheed Ullah Khan, Zhiqi Ye, Mebrouka Boubeche, Tian Shi, Dilfaraz Khan, Yueli Zhang
Summary: A series of Sm3+-activated Ca3Gd(AlO)3(BO3)4 red-emitting phosphors were prepared and characterized. The optimal doping concentration of 4mol% showed excellent luminescent and thermal stability properties. Ultimately, the investigated phosphor demonstrated excellent chemical stability.
CERAMICS INTERNATIONAL
(2022)
Article
Chemistry, Analytical
Chunfei Wang, Hengyi Fu, Jingyun Tan, Xuanjun Zhang
Summary: A reversible pH-responsive fluorescent probe, BP, was designed and synthesized based on protonation and deprotonation-induced oxazolidine ring open and close. The probe exhibited strong fluorescence response to pH, making it suitable for labeling intracellular pH-dependent organelles. In living cells, BP showed good colocalization with mitochondria and lysosomes, attributed to the pH-induced structure tautomerism effect.
Article
Chemistry, Applied
Qin Ouyang, Li Wang, Bosoon Park, Rui Kang, Quansheng Chen
Summary: This study evaluated the feasibility of identifying multiple chemical constituents in matcha using VNIR-HSI technology, achieving best predictive accuracy with BOSS-PLS models for caffeine, tea polyphenols, free amino acids, TPs to FAAs ratio, and chlorophyll. The findings highlight the potential of VNIR-HSI as a rapid and nondestructive method for quantifying chemical constituents in matcha simultaneously.
Article
Computer Science, Interdisciplinary Applications
Julien Coatleven, Anthony Michel
Summary: We propose a nested Gibbs energy minimization method for simultaneous chemical and phase equilibrium calculations. This method relies on a new formulation of the Lagrange multiplier based inner sub-problem with fixed activity coefficients. By using a sufficient condition for global optimality with fixed activity coefficients equivalent to the tangent plane distance criterion, we describe two equivalent algorithms, a combinatorial and a complementarity based one, to solve this new sub-problem robustly while always incorporating all phases.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Jiaxin Hong, Jinzheng Zhang, Qianhua Li, Guoqiang Feng
Summary: Complex intracellular processes require the cooperation of multiple organelles. Realtime tracking of their interplays is important for understanding biological processes. We report a single fluorescent probe (SFP) that can simultaneously differentiate and visualize three important organelles: mitochondria, lysosomes, and lipid droplets. This smart probe allows for the real-time and simultaneous tracking of the interplays of these organelles for the first time.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Ze-Yi Yu, Wen-Hua Luo, Jia-En Wang, Hong-Juan Diao, Tian-Ying Wu, Shu-Tang Zeng, Xiu-Cai Chen, Zhi-Shu Huang, Jia-Heng Tan, Shuo-Bin Chen
Summary: Since many pivotal questions in chemical biology involve the interaction of multiple analytes, it is crucial to study multiple analytes simultaneously. Researchers have discovered a dual-responsive probe called DR1, which can selectively recognize DNA and RNA and evaluate the effects of inhibitors on screening platforms. This study provides a new tool for monitoring cellular DNA and RNA simultaneously and offers insights for developing dual-channel probes for multiple biomolecules.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Computer Science, Information Systems
Yongwei Li, Filiberto Pla, Marten Sjostrom, Ruben Fernandez-Beltran
Summary: Recent studies have shown the potential and advantages of different light field information processes. In this paper, the interaction between color interpolation and depth estimation in light field is addressed, proposing a probabilistic approach to handle these two processing steps jointly. Experimental results demonstrate that both image interpolation quality and depth estimation can benefit from their interaction.
Article
Materials Science, Multidisciplinary
Michael Altgen, Muhammad Awais, Daniela Altgen, Andre Kluppel, Gerald Koch, Mikko Makela, Andrea Olbrich, Lauri Rautkari
Summary: This study investigated the distribution of phenol-formaldehyde resin in impregnation-treated beech wood using imaging techniques at different length scales. The results revealed process-dependent heterogeneity in resin distribution and demonstrated the potential of combining chemical imaging techniques for efficient treatments of biomaterials.
MATERIALS & DESIGN
(2023)
Article
Optics
Sanduni I. Fernando, Jason T. Martineau, Robert J. Hobson, Thien N. Vu, Brian Baker, Brian D. Mueller, Rajesh Menon, Erik M. Jorgensen, Jordan M. Gerton
Summary: By engineering the point-spread function (PSF) of single molecules, different fluorophore species can be imaged simultaneously and distinguished by their unique PSF patterns. In this study, we inserted a silicon-dioxide phase plate at the Fourier plane of the detection path of a wide-field fluorescence microscope to generate distinguishable PSFs (X-PSFs) at different wavelengths. We demonstrated that the resulting PSFs can be localized spatially and spectrally using a maximum-likelihood estimation algorithm and can be used for hyper-spectral super-resolution microscopy of biological samples.
Article
Chemistry, Analytical
Hyo Won Lee, Tanmay Kumar Pati, In-Jeong Lee, Jeong-Mi Lee, Bo Ra Kim, Sun Young Kwak, Hwan Myung Kim
Summary: In this study, we developed a fluorescent probe that selectively monitors the plasma membrane in live samples, showing bright fluorescence and high selectivity in cells and tissues.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Applied
Mingwei Wang, Chunliu Yang, Jiankun Cao, Hongyuan Yan, Fengxia Qiao
Summary: In recent years, the presence of multiple plant growth regulators in foods and their toxicity to human health has raised the need for simultaneous multiple monitoring. A new method utilizing a dual-template hydrophilic molecularly imprinted resin (DHMIR) coupled with HPLC has been established, allowing for rapid, accurate, and high-selective determination of multiple plant growth regulators in red wines. The DHMIR combines the advantages of hydrophilic resin and dual-template molecular imprinting, overcoming the shortcomings of traditional imprinting materials in water and low efficiency in extracting multiple targets. Under optimized conditions, the proposed method demonstrates high sensitivity (2.29-3.94 ng/mL) and recoveries (80.9-109.0%) using only 15 mg DHMIR. This study provides an effective strategy for the determination of multiple analytes in food samples that is rapid, accurate, low-cost, and high-selective.
Article
Automation & Control Systems
Fan Wang, Zidong Wang, Jinling Liang, Carlos Silvestre
Summary: This article addresses the recursive filtering problem of a two-dimensional system array with random sensor failures and dynamic quantizations. The occurrence of sensor failures is governed by a random variable with known statistical properties. To deal with data transmission over networks with limited bandwidth, a dynamic quantizer is utilized to compress raw measurements into quantized ones. The main objective of this article is to design a recursive filter that guarantees a locally minimal upper bound on the filtering error variance. To support the filter design, the states of the dynamic quantizer and the target plant are integrated into an augmented system, which enables the derivation of an upper bound on the filtering error variance and its subsequent minimization at each step. The expected filter gain is parameterized by solving coupled difference equations. Furthermore, the article discusses the monotonicity of the resulting minimum upper bound with respect to the quantization level and investigates its boundedness. Finally, the effectiveness of the developed filtering strategy is demonstrated through a simulation example.
Article
Engineering, Electrical & Electronic
Chuang Wang, Zidong Wang, Weibo Liu, Yuxuan Shen, Hongli Dong
Summary: This article proposes a two-stage deep offline-to-online transfer learning framework (DOTLF) for long-distance pipeline leakage detection (PLD). At the offline training stage, a feature transfer-based long short-term memory network with regularization information (TL-LSTM-Ri) is developed to extract domain-invariant features and early fault features. At the online detection stage, the trained TL-LSTM-Ri is used for motion prediction to monitor the pipeline's operating condition in real time. The DOTLF is successfully applied to real-time PLD on long-distance oil-gas pipeline data, and experimental results demonstrate its effectiveness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
Summary: This study proposes a Constraintinduced Symmetric Nonnegative Matrix Factorization (C-SNMF) model for community detection. Experimental results demonstrate that the proposed model significantly outperforms benchmarks and state-of-the-art models in achieving highly-accurate community detection results.
INFORMATION FUSION
(2023)
Article
Computer Science, Artificial Intelligence
Zhongyi Zhao, Zidong Wang, Lei Zou, Yun Chen, Weiguo Sheng
Summary: This paper studies the distributed fusion estimation problem for a class of nonlinear networked systems with unknown-but-bounded (UBB) noises. It proposes a zonotopes-based distributed fusion estimator by designing local estimators and fusion methods. The effectiveness of the proposed method is illustrated through a numerical example.
INFORMATION FUSION
(2023)
Article
Optics
Tianpeng Luo, Jing Yuan, Jin Chang, Yanfeng Dai, Hui Gong, Qingming Luo, Xiaoquan Yang
Summary: In traditional fluorescence microscopy, achieving a large uniform imaging field with high resolution is difficult. In this study, we developed a confocal fluorescence microscope that combines a microlens array with a spatial light modulator to address this issue. Our system uses a multi-spot array generated by a spatial light modulator and a microlens array to form an optical probe array. We introduced a multi-spot adaptive pixel-reassignment method for image scanning microscopy (MAPR-ISM) to improve spatial resolution. Additionally, we employed an optimized double weighted Gerchberg-Saxton algorithm (ODWGS) with signal feedback from the camera to generate a uniform image. Our prototype system provides a lateral resolution of approximately 0.82 μm with about 1.6 times resolution enhancement after ISM processing, and exhibits a nonuniformity of 3% across the entire imaging field. Experimental results with fluorescent beads, mouse brain slices, and melanoma slices were presented to validate the applicability and effectiveness of our system.
Article
Optics
K. A. I. X. I. A. N. Liu, Y. U. X. U. A. N. Jiang, W. E. N. S. O. N. G. LI, H. A. I. T. A. O. Chen, Q. I. N. G. M. I. N. G. Luo, Y. O. N. G. Deng
Summary: In this study, a spatially adaptive split Bregman network (SSB-Net) was proposed to overcome the spatial nonuniformity of measurement sensitivity and ill-posed reconstruction in mesoscopic fluorescence molecular tomography (MFMT) in reflective geometry. The SSB-Net was derived from the split Bregman algorithm and utilized residual blocks and 3D convolution neural networks (3D-CNNs) to learn spatially nonuniform error compensation, spatially dependent proximal operator, and sparsity transformation. Simulations and experiments showed that the SSB-Net enabled high-fidelity MFMT reconstruction within a depth of a few millimeters, paving the way for practical reflection-mode diffuse optical imaging technique.
Article
Optics
Xiaojun Zhao, Guangcai Liu, Rui Jin, Hui Gong, Qingming Luo, Xiaoquan Yang
Summary: Fluorescence microscopy is often affected by system and sample-induced aberration, which can be solved by image deconvolution. We proposed a novel Richardson-Lucy model-driven deconvolution framework that improves reconstruction performance and speed. Within this framework, we designed two kinds of neural networks that are partially interpretable compared to previous deep learning methods. We introduced Richardson-Lucy into deep feature space, which has better generalizability than convolutional neural networks (CNN). We further accelerated the process with an unmatched backprojector, achieving a five times faster reconstruction speed than classic RL. Our deconvolution approaches outperform both CNN and traditional methods in terms of image quality for blurred images caused by out-of-focus or imaging system aberration.
Article
Automation & Control Systems
Kaiqun Zhu, Zidong Wang, Qing-Long Han, Guoliang Wei
Summary: This article investigates the distributed set-membership fusion filtering problem for nonlinear 2-D shift-varying systems subject to unknown-but-bounded noises over sensor networks. It introduces a logarithmic-type encoding-decoding mechanism for each sensor node to enhance transmission security and relieve communication burden. A distributed set-membership filter is designed to determine the local ellipsoidal set that contains the system state. A new ellipsoid-based fusion rule is developed to form the fused ellipsoidal set with a globally smaller volume. Sufficient conditions are derived for the existence of the desired distributed set-membership filters and fusion weights.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Gheorghita Ghinea, Hongjian Liu
Summary: This article investigates the distributed formation-containment (FC) control problem for a class of discrete-time multiagent systems (DT-MASs) under the event-triggered communication mechanism. A novel dynamic event-triggered (DET) mechanism is developed to save communication cost and improve resource utilization. Based on available relative outputs, a distributed FC control scheme under the DET mechanism is proposed for all leaders and followers. The goal is to design an FC controller such that all leaders achieve formation shape and all followers converge into a convex hull. The considered DT-MASs are decoupled into a diagonal form using the Laplacian matrix property and inequality technique, and two sufficient conditions are established to ensure the desired FC performance. The FC controller parameters are obtained based on the solutions to two matrix inequalities depending on the maximum and minimum nonzero eigenvalues of the Laplacian matrix. An illustrative example is provided to verify the effectiveness of the developed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Weihao Song, Zidong Wang, Zhongkui Li, Hongli Dong, Qing-Long Han
Summary: This paper investigates the particle filtering problem for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations include on-off stochastic coupling, non-Gaussian noises, and measurement censoring. A random access protocol is used to alleviate data collision over the networks, and two expressions of the modified likelihood function are established to weaken the adverse effects from measurement censoring. A protocol-based filter is designed in the auxiliary particle filtering framework to generate new particles and assign weights based on the derived likelihood function. The developed filtering scheme is demonstrated to be practicable and effective through a multi-target tracking application.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong, Hongjian Liu
Summary: This paper investigates the joint state and unknown input estimation (SUIE) problem for multi-machine power grids within energy networks under the event-triggered mechanism. It develops easy-to-implement algorithms to estimate the field voltage and mechanical torque of the synchronous generator (SG), which are generally difficult to be measured in engineering practice. An event-based transmission strategy is used to coordinate the massive PMU-based signal transmissions, and an event-based joint SUIE algorithm is designed to guarantee and minimize the estimation error covariances of both the unknown input and the state. Simulation experiments on the IEEE 39-bus system validate the developed estimation algorithm.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong
Summary: This article studies the problem of state estimation in a class of renewable-electricity-generation-based microgrids with measurement outliers. A state-space system model is proposed for microgrids using the physical laws of power systems, without considering prior knowledge of the measurement outliers. To enhance insensitivity against measurement outliers, an outlier-resistant SE algorithm is developed with two distinct features: adopting a saturation function to constrain the innovation term in the state estimator and minimizing the estimation error covariance by selecting proper gain parameters. Simulation studies on a benchmark islanded microgrid with two renewable-electricity-generation units are conducted to illustrate the validity of the developed algorithm.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Junwan Zhu, Jingrui Duan, Zhigang Lu, Zhanliang Wang, Huarong Gong, Yubin Gong
Summary: To improve the performance of sine waveguide traveling wave tubes, a new elliptical beam-tunnel sine waveguide slow wave structure (EBTSW-SWS) is proposed. Compared to the traditional SW-SWS, the EBTSW-SWS has a wider passband and higher interaction impedance. Particle-in-cell simulation results show that the EBTSW-TWT can provide more than 70 W of output power with a maximum efficiency of 4.85% in the frequency range of 200-260 GHz.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Hengli Cheng, Bo Shen, Jie Sun
Summary: In this paper, the distributed fusion filtering issue is investigated for multi-sensor systems with the constraints from both time-correlated fading channels and energy harvesters. A dynamic energy-allocated rule is proposed to properly deal with the energy supply relationship between a battery and multiple sensors. The local filter is designed to minimize the upper bound of the local filtering error covariance under the effects of the time-correlated fading channels and energy harvesters, and the fusion estimates are obtained using the covariance intersection approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Chemistry, Analytical
Yang Dong, Shaomeng Wang, Jingyu Guo, Zhanliang Wang, Huarong Gong, Zhigang Lu, Zhaoyun Duan, Yubin Gong
Summary: This paper proposes an angular radial extended interaction amplifier (AREIA) that consists of a pair of angular extended interaction cavities, which show potential in improving the beam-wave interaction capability of W-band extended interaction klystrons (EIKs). Compared to conventional radial cavities, the angular cavities greatly reduce ohmic loss area and increase characteristic impedance. Particle-in-cell (PIC) results demonstrate the superiority of the proposed design in terms of output power and beam-wave interaction capacity compared to conventional EIAs under certain conditions.
