Article
Behavioral Sciences
Rui Sun, Andy S. K. Cheng, Cynthia Chan, Janet Hsiao, Adam J. Privitera, Junling Gao, Ching-hang Fong, Ruoxi Ding, Akaysha C. Tang
Summary: This study presents a novel method for tracking eye movement using EEG signals, making it easier to study the neural mechanisms underlying natural cognition in the context of free eye movement.
BRAIN AND BEHAVIOR
(2023)
Article
Engineering, Electrical & Electronic
Haifeng Wu, Dong Li, Mingzhi Lu, Yu Zeng
Summary: This paper proposes a method using inverse-sparse transform and second order blind identification (SOBI) for separating brain activation areas, with lower computational complexity. Experimental results demonstrate that the method has faster running time and lower separation errors compared to traditional approaches.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Biomedical
Christos Stergiadis, Vasiliki-Despoina Kostaridou, Manousos A. Klados
Summary: This study evaluates the performance of the five most common BSS algorithms and finds that Adaptive Mixture ICA was the best performing method.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Engineering, Biomedical
Federico Barban, Michela Chiappalone, Gaia Bonassi, Dante Mantini, Marianna Semprini
Summary: The study aims to evaluate various EEG cleaning methods based on blind source separation, providing an overview of their advantages, downsides, and best field of application. By testing and scoring different procedures on datasets corrupted by noise sources and using an iterative multistep approach, it was found that different scenarios require different approaches.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Giorgio Biagetti, Laura Falaschetti, Paolo Crippa, Michele Alessandrini, Claudio Turchetti
Summary: Hardware/software co-simulation is a technique that helps design and validate digital circuits controlled by embedded processors. This paper presents a simple solution to co-simulate VHDL designs with the controlling firmware, without requiring any changes to the existing code.
Article
Clinical Neurology
Adam John Privitera, Rui Sun, Akaysha C. Tang
Summary: Neuroimaging research provides evidence for the existence of functional networks active during rest conditions. This study investigates the similarities between a globally-distributed resting-state network (gRSN) and the neural generators underlying the widely-studied P3 component. The findings suggest that the gRSN may serve as a resting-state network for detecting and responding to novelty.
PSYCHIATRY RESEARCH-NEUROIMAGING
(2022)
Article
Computer Science, Information Systems
Achmad Rizal, Sugondo Hadiyoso, Ahmad Zaky Ramdani
Summary: The digital system proposed in this study utilizes the Hjorth descriptor method for feature extraction and KNN algorithm for classification prediction, achieving up to 90.74% accuracy in real-time classification of normal, inter-ictal, and ictal EEG on a FPGA device. With classification results generated within 0.015 s, this system aims to tackle the challenges of visual inspection and computer processing to detect epileptic EEG efficiently using low-cost resources while maintaining high performance and real-time implementation.
Article
Chemistry, Analytical
Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese
Summary: Brain-computer interfaces provide an alternative/additional channel for individuals with severe motor disabilities to communicate and interact with the world. This paper proposes a portable embedded BCI system based on P300, which allows real-time processing of EEG data for communication and domotic controls.
Article
Computer Science, Hardware & Architecture
Sameh Attia, Vaughn Betz
Summary: Recently, checkpoint-based debugging flows have been developed to enable moving the design state between FPGA and a simulator, providing a software-like debugging experience. However, these flows can only be used for self-contained systems since they assume the entire system state can be moved to a simulator. In this article, a transaction-based co-simulation framework called StateLink is introduced, which allows a part of the system to run in a simulator while still interacting with other system components in hardware. StateLink extends the functionality of checkpoint-based debugging frameworks and speeds up the simulation of tasks in large systems.
ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay, Tirtha Sankar Das
Summary: The work proposes a technique for designing and implementing an information hiding scheme using hardware-software co-simulation, aiming to improve design verification efficiency and reduce development costs for DSP solutions. The scheme embeds information bits into the host image using the LSB matching technique, tested on a Spartan-3A DSP edition board and showing potential for application-specific events and low-cost hardware implementation through a graphical user interface.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Theory & Methods
B. M. Prabhu Prasad, Khyamling Parane, Basavaraj Talawar
Summary: In this study, a new NoC simulation acceleration framework based on FPGA is proposed by mapping the NoC router components on FPGA hard blocks, resulting in a significant reduction in the use of logic blocks and optimization of the latency of the NoC.
Article
Engineering, Biomedical
Marcelo Grilo, Caroline P. A. Moraes, Bruno F. Oliveira Coelho, Ana Beatriz R. Massaranduba, Denis Fantinato, Rodrigo P. Ramos, Aline Neves
Summary: This study proposes two methods for removing artifacts in Electroencephalogram (EEG) signal analysis. Two new Blind Source Separation (BSS) algorithms based on Mutual Information (MI) with Gaussian kernel and Epanechnikov kernel were used. The classic SOBI algorithm was also used for comparison. The performance evaluation was done in an emotion recognition scenario using EEG signals. After extracting independent components using BSS algorithms, artifacts were identified and removed using MARA. High Order Crossings (HOC) and Hjorth features were extracted from the cleaned EEG signal and used as inputs to a SVM classifier. The results showed the importance of artifact removal, with even the simplest method achieving a gain of about 12%. Additionally, the algorithm based on the Epanechnikov kernel outperformed the others, achieving an accuracy of 80.13% and having the advantage of simplicity and lower computational cost compared to the Gaussian kernel algorithm.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Interdisciplinary Applications
Rafal Kielbik, Krzysztof Halagan, Kamil Rudnicki, Grzegorz Jablonski, Piotr Polanowski, Jaroslaw Jung
Summary: This paper discusses the implementation of the molecular diffusion model called Dynamic Lattice Liquid (DLL). Two algorithms, sequential and parallel, are examined for implementing this model. The theoretical considerations presented indicate limitations of the sequential approach. The proposed parallel algorithm overcomes these limitations but requires dedicated hardware. An example of such hardware, the FPGA-based HPC system called ARUZ, is presented.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Mengqiao Lan, Libo Huang, Ling Yang, Sheng Ma, Run Yan, Yongwen Wang, Weixia Xu
Summary: This paper introduces an effective method, FPGA-enhanced design flow, to address the optimization challenges in modern processor design. By reconsidering FPGA simulation as a performance simulation method, the proposed method improves the accuracy and efficiency of performance simulation for out-of-order processors.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Jalel Ktari, Tarek Frikha, Nader Ben Amor, Leila Louraidh, Hela Elmannai, Monia Hamdi
Summary: With the increasing use of IoT in various fields, this study focuses on its application in the healthcare sector. The researchers propose a platform based on IoMT for monitoring patients' health, using Blockchain technology to ensure data security and confidentiality. The system collects data from smart sensors such as blood pressure and EEG signals, encrypts them, and stores them in an embedded Blockchain node. Preliminary results demonstrate the effectiveness of this platform as a potential low-cost and secure Electronic Health Record (EHR) solution.
Article
Allergy
Casey G. Cohen, Wei W. Zhao, Danbing Ke, Liane Beaudette, Duncan Lejtenyi, Christine McCusker, Xun Zhang, Edmond S. Chan, Julia E. M. Upton, Eyal Grunebaum, Ann E. Clarke, Bruce D. Mazer, Moshe Ben-Shoshan
Summary: Food desensitization via oral immunotherapy (OIT) is gaining acceptance in clinical practice. This study aimed to assess factors associated with the probability of reaching the maintenance dose in cow's milk (CM) OIT. The results showed that higher levels of CM-specific IgE decreased the likelihood of reaching maintenance, whereas an increased cumulative CM dose at entry challenge increased the likelihood.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE
(2022)
Article
Materials Science, Paper & Wood
Xun Zhang, Li Li, Feng Xu
Summary: A novel strategy is proposed to analyze the orientation of cellulose microfibrils without prior knowledge. The direction of cellulose microfibrils can be determined by the polarization-dependent Raman signal intensity. This strategy was successfully used to study variations in molecular orientation in the cell wall of balsa wood.
Article
Oncology
Hui Gao, Haijing Wu, Yue Zhang, Zhiming Chen, Zhongchun Qi, Mingyi Wang, Peng Cheng
Summary: This study analyzed the recurrence patterns, survival outcomes, and prognostic factors in patients with cervical cancer receiving locoregional therapy for oligometastases. The study found that locoregional therapy can achieve long-term survival, especially in patients with small lesions. Additionally, tumor size was identified as the only prognostic factor for overall survival.
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
(2023)
Article
Chemistry, Physical
Zheng Wei, Xun-An Zhang, Feng Sun, William Yi Wang
Summary: This study investigates the structure-property-performance relationship of a designed steel mega-sub controlled structural system (MSCSS) under earthquake waves. The findings suggest that the MSCSS configurations effectively optimize vibration responses, reduce acceleration, and outperform traditional megaframe structures. Additionally, when the horizontal connections are broken, the displacement of the megastructure is smaller than that of the substructure.
Article
Chemistry, Multidisciplinary
Yi Yu, Yaofeng Yuan, Ke-Yin Ye
Summary: An environmentally friendly and efficient method for synthesizing vicinal diamines has been developed, which does not require the use of chemical oxidants or transition-metal catalysts and can be conveniently converted into other vicinal diamine derivatives.
CHEMICAL COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Yushuai Yao, Yi Yu, Cheng Du, Liu Wan, Yan Zhang, Jian Chen, Ting Xiao, Mingjiang Xie
Summary: In this study, porous carbon materials with oxygen doping were synthesized using different templates with varying basicity. The results showed that the strength of template basicity influenced the surface functionalities and electrochemical performances of the derived carbon materials. Systematic investigations revealed a relationship between the basic strength of the template and the content of electrochemically active oxygen species and microporosity of the derived materials. O-PCN-20, templated by a 20% K/Mg(OH)2 solution, exhibited excellent supercapacitor performances with high specific capacitance, rate capability, energy density, and cycling stability, making it a promising electrode material for energy storage devices.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Chemistry, Applied
Tianpeng Yin, Yi Yu, Qinghua Liu, Guoyuan Zhu, Liping Bai, Wei Zhang, Zhihong Jiang
Summary: Aloe vera, a popular and widely cultivated plant, is attracting increasing attention from the food industry. In this study, the secondary metabolites in Aloe vera were rapidly identified using NMR-based dereplication, and new compounds were discovered. The results demonstrate that Aloe vera is a promising natural source for the food industry, and highlight the power of NMR technology in exploring secondary metabolites from plant resources.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Multidisciplinary
Qunle Ouyang, Yuxuan Zeng, Yi Yu, Lei Tan, Xiangmei Liu, Yufeng Zheng, Shuilin Wu
Summary: This study explores the sonocatalytic properties of TiO2 nanoparticles with different phases and finds that anatase-brookite TiO2 has the best antibacterial efficiency. It provides a new noninvasive and efficient treatment strategy for wound biofilm infection.
Article
Engineering, Electrical & Electronic
Ben Meunier, John Cosmas, Kareem Ali, Nawar Jawad, Geoffrey Eappen, Xun Zhang, Hongxiu Zhao, Wei Li, Hequn Zhang
Summary: With the increasing demand for cost-effective, reliable, and highly accurate positioning, Visible Light Positioning (VLP) using non-Lambertian sources is considered as a promising solution. This paper evaluates the practical RSSI data obtained during a measurement campaign using non-Lambertian Total Internal Reflection (TIR) lenses and proposes a Halo Lens Compensation (HLC) method for accurate calibration of non-Lambertian sources. The results show significant reductions in positioning error and comparable accuracy to existing literature using Lambertian sources.
IEEE TRANSACTIONS ON BROADCASTING
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Lin, Yingjie Zhou, Xun Zhang, Yipeng Liu, Ce Zhu
Summary: Binary feature descriptors are widely used in visual measurement tasks, but they may not perform well for long-term visual measurement tasks due to their sensitivity to illumination variations. This study presents an illumination-insensitive binary (IIB) descriptor that leverages the local inter-patch invariance exhibited in multiple spatial granularities to deal with unfavorable illumination variations. Numerical experiments demonstrate that the proposed IIB descriptor outperforms state-of-the-art binary descriptors and some float descriptors.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Xuanbang Chen, Yuhao Wang, Xiaodong Liu, Zhenghai Wang, Xun Zhang, Fuhui Zhou, Derrick Wing Kwan Ng
Summary: This letter proposes a hybrid active-passive single-order equalizer to expand the bandwidth of LED and support the design of resource-constrained transmitter front-end. The effectiveness of the equalizer is verified through practical experimental tests, with the LED's bandwidth extended significantly.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Chemistry, Organic
Xiao-Bin Zhu, Yi Yu, Yaofeng Yuan, Ke-Yin Ye
Summary: The electrochemical multicomponent reaction (e-MCR) enables the green and sustainable preparation of diverse vicinal sulfenyltetrazoles using readily available unactivated olefins, thiols, azidotrimethylsilane, and acetonitrile.
ORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Engineering, Electrical & Electronic
Dayu Shi, Xun Zhang, Ziqi Liu, Xuanbang Chen, Xiaodong Liu, Jintao Wang, Jian Song, Andrei Vladimirescu
Summary: This article presents a physics-based compact model for gallium nitride multiple quantum well light-emitting diodes (LEDs) tailored for visible light communication (VLC) systems. The model takes into account the internal physical mechanisms and predicts the illumination and communication performance of the LED in VLC systems. The accuracy of the model is validated experimentally in a complete VLC transmission system.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Chemistry, Analytical
Meihong Ge, Xiuli Zhang, Guoliang Zhou, Siyu Chen, Zijian Wu, Liaoyuan Li, Yuman Nie, Yaoxiong Wang, Yi Yu, Dongyue Lin, Pan Li, Liangbao Yang
Summary: The aggregation of nanoparticles is crucial for the formation of hot spots in the flocculation-enhanced Raman spectroscopy (FLERS) method. This study utilized in situ liquid cell transmission electron microscopy (TEM) coupled with an in situ high-speed camera to analyze the particle behaviors during flocculation. The results demonstrated the stable existence of flocculation with nanoparticles positioned at a gap of 7-9 nm, which ensured the high stability and sensitivity of the FLERS method. FLERS was successfully applied for the in situ noninvasive probing of cupping effect substances, providing insights into the scientific principle behind traditional Chinese medicine.
Article
Construction & Building Technology
Yanjie Xiao, Xun'an Zhang, Feng Yue, Muhammad Moman Shahzad, Xinwei Wang, Buqiao Fan
Summary: This paper proposes an improved DSM-based seismic fragility analysis method using active learning, which enhances computational efficiency and accuracy by optimizing surrogate models and design of experiments. The numerical example verifies the effectiveness and feasibility of the method, showing that MFVCS has better seismic performance.
