Article
Soil Science
Fernando San Jose Martinez, Carlos Garcia-Gutierrez Baez, Francisco Javier Caniego Monreal, Fernando Peregrina
Summary: The study found that MFDFA can be used to characterize the dynamics of soil water content, and discovered that long-range correlations are influenced by soil depth. The time series of soil moisture exhibit multifractal behavior, with depth playing a significant role, though no interaction between treatment and depth was observed.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2021)
Article
Physics, Multidisciplinary
Jiao Zhang, Youping Li, Chunqiong Liu, Bo Wu, Kai Shi
Summary: This paper investigates the multi-scale cross-correlation between PM2.5 and O-3 in three metropolises in China and proposes a new multifractal index to evaluate the difficulty degree of coordinated control. The study finds complex correlations between PM2.5 and O-3 at different time points and identifies the influence of meteorological factors on coordinated control.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Environmental
Liping Li, Hao Jin, Yanhao Chen, Shuai Cheng, Huijiang Hu, Sheng Wang
Summary: This paper proposes an effective method for extracting microseismic signals caused by tunnel water inrush based on the VMD method, identifying effective modes through detrend analysis, solving the problem of noise mixing with signals, and improving the signal extraction ability effectively.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Physiology
Biljana Djuric, Katarina Zikic, Zorica Nestorovic, Danijela Lepojevic-Stefanovic, Nebojsa Milosevic, Dejan Zikic
Summary: Aging is a physiological process characterized by progressive changes in all organ systems. The goal of this research was to develop a new diagnostic method using a photoplethysmographic sensor and examine the impact of aging on the cardiovascular system. The results indicated that the aging led to a decrease in the scalar ratio (a (1)/a (2)) in the population of healthy subjects, and changes in the cardiovascular system due to aging can be detected and monitored with this non-invasive method.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Zhonghai Ma, Yugang Geng, Songlin Nie, Hui Ji, Xiaopeng Yan, Haitao Liao
Summary: Due to the COVID-19 pandemic, the demand for remote patient care, especially in rehabilitation requiring direct contact, has increased. Traditional Chinese rehabilitation technologies, such as gua sha, usually require well-trained professionals to perform. To automate and professionalize gua sha, it is necessary to record the nursing and rehabilitation process and replicate it through the development of smart gua sha equipment. This article proposes a new signal processing and sensor fusion method for developing smart gua sha equipment, and experimental results show its superiority over traditional methods.
IEEE SENSORS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Prabhat Pathak, Jooeun Ahn
Summary: Temporal fluctuations in stride parameters during walking exhibit long-range correlations, which can be considered as indicators of gait functionality. Researchers designed shoes with active insoles that delivered vibrations to the soles of feet, and found that supra-threshold vibrations significantly increased the long-range correlations in stride interval and length for healthy young adults.
Article
Environmental Sciences
Huashuai Liu, Fan Yang, Hongchuan Wang
Summary: Climate change puts higher demands on ocean engineering design, and the accurate estimation of design wave heights is crucial for coastal protection and offshore engineering. This study utilized long-term significant wave height data to investigate the long-range correlation and determine thresholds based on changes in correlation. The method offers a rational approach for selecting extreme wave height thresholds and provides automation to mitigate errors associated with subjective judgments in traditional approaches.
Article
Physics, Multidisciplinary
S. Adarsh, L. J. Nityanjaly, Quoc Bao Pham, R. Sarang, Mumtaz Ali, P. Nandhineekrishna
Summary: This study performs multifractal characterization of reference evapotranspiration (ET0) and its controlling factors in five locations in India. The investigation reveals long-term persistence and multifractality of different series under diverse climatic conditions and geographical locations. Higher persistence is observed in ET0 and T-min series, while wind speed series shows the highest multifractality. Differences in persistence and multifractal properties of ET0 estimates by different methods are influenced by geographic locations.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2021)
Article
Engineering, Electrical & Electronic
Fuwang Wang, Hao Wang, Xin Zhou, Rongrong Fu
Summary: Driving fatigue poses a serious threat to traffic safety. In this study, a new method called multifractal detrended fluctuation analysis (MF-DFA) is proposed to detect driver fatigue. The method analyzes the characteristics of electroencephalogram (EEG) signals and shows significant differences in the features of EEG signals corresponding to different driving times. The results demonstrate the effectiveness of the MF-DFA method in detecting driving fatigue.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Kirti Rawal, Gaurav Sethi
Summary: Every woman experiences a menstrual cycle of approximately 28 days, with physical, psychological and behavioral changes affecting heart autonomic activities. Heart Rate Variability (HRV) analysis is a useful tool to study these effects. A novel method proposed in this paper accurately detects HRV variations during different phases of the menstrual cycle.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Maryam Khosroshahi, Javad Poshtan, Yousef Alipouri
Summary: This paper proposes a new method based on the Hurst exponent for evaluating the performance of control loops by estimating the Minimum Variance Index (MVI). The method only requires routine operation data, making it suitable for various industrial control processes.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Oxana Semyachkina-Glushkovskaya, Alexander Khorovodov, Ivan Fedosov, Alexey Pavlov, Alexander Shirokov, Ali Esmat Sharif, Alexander Dubrovsky, Inna Blokhina, Andrey Terskov, Nikita Navolokin, Arina Evsukova, Georgy Karandin, Dariya Elovenko, Maria Tzoy, Vasily Ageev, Ilana Agranovich, Valeria Telnova, Anna Tsven, Elena Saranceva, Tatyana Iskra, Juergen Kurths
Summary: The lymphatic system in the brain meninges and head is crucial in clearing pathogenic A beta protein related to Alzheimer's disease. Developing methods to modulate this clearance process could be revolutionary in AD therapy. A noninvasive music-induced method of opening the blood-brain barrier to stimulate A beta clearance is proposed, showing promising results in studies using imaging techniques.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Hongtao Chang, Rui Ren, Yaqiong Wang, Jiaqi Li
Summary: This study conducted a field measurement in a real-world extra-long highway tunnel for 578 days and analyzed the nonlinear dynamics of traffic pollutants using the Multifractal Detrended Fluctuation Analysis approach. The impacts of traffic and environmental parameters on air quality were quantified using the Random Forest model. The findings indicated that COVID-19 had a considerable impact on tunnel traffic and the bidirectional effect of traffic was the main reason for this phenomenon. An inverse Random Forest model was proposed to predict air pollutants, which showed higher goodness of fit and lower prediction error.
Article
Environmental Sciences
Yijian Zhang, Tong Wu, Xianzhong Zhang, Yue Sun, Yu Wang, Shijie Li, Xinqi Li, Kai Zhong, Zhaoai Yan, Degang Xu, Jianquan Yao
Summary: This paper proposes a method for denoising lidar signals using wavelet transform and ensemble empirical mode decomposition. The simulation results show that the proposed method outperforms other methods in denoising effectiveness and significantly improves retrieval accuracy in actual measurements.
Article
Physiology
Bruce Rogers, David Giles, Nick Draper, Olaf Hoos, Thomas Gronwald
Summary: This study compared oxygen intake and heart rate at the first ventilatory threshold with parameters derived from a predefined DFA a1 value, showing strong agreement between the two in measuring low intensity exercise. Results suggest that reaching a DFA a1 value of 0.75 in an incremental treadmill test is closely associated with crossing the first ventilatory threshold, indicating potential for utilizing DFA a1 as a valid guide for low intensity training zones.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)