Article
Multidisciplinary Sciences
Su Keun Jeong
Summary: Memorability refers to how well an image is remembered or forgotten. Most studies on memorability have been conducted in Western cultures and with culturally biased images. This study recruited participants from South Korea and the US to examine whether image memorability is consistent across these cultures. The findings suggest the possibility of cross-cultural consistency in image memorability and that individual differences do not fully account for it.
SCIENTIFIC REPORTS
(2023)
Article
Ecology
Suyash Sawant, Chiti Arvind, Viral Joshi, V. V. Robin
Summary: Birdsong plays a critical role in mate attraction and territorial defense. This study introduces a new method, the Note Variability Index (NVI), which quantifies song complexity by considering intra-song note variability and spectral features of notes, eliminating the need for manual note classification and providing a quick and automated approach for analyzing bird songs. The NVI outperforms conventional complexity methods by capturing the variation in spectro-temporal shapes of notes and can be easily implemented for diverse song structures across different bird species.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Chemistry, Multidisciplinary
Riccardo Rossi, Silvia Cesaroni, Francesca Bombarda, Pasquale Gaudio, Michela Gelfusa, Marco Marinelli, Gianluca Verona Rinati, Emmanuele Peluso
Summary: The high confinement mode (H-mode) is the optimal regime for energy production through nuclear fusion, but it also leads to the occurrence of edge localized modes (ELMs). These ELMs can cause high thermal and particle loads on the plasma-facing components (PFC) of the next generation devices. Mitigating ELMs through pellet pacing is a promising technique to reduce these loads. This study proposes a method to assess and characterize the pacing efficiency by analyzing the correlation between measured pellets and ELMs time traces. The results obtained from JET data using a new type of diagnostic based on synthetic diamond sensors show the potential of this approach.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Elias Ebrahimzadeh, Mohammad Shams, Masoud Seraji, Seyyed Mostafa Sadjadi, Lila Rajabion, Hamid Soltanian-Zadeh
Summary: The proposed method in this study uses epileptic components time series detected on EEG to fit the Generalized Linear Model (GLM), enabling more precise localization and future behavior prediction of epileptic generators compared to traditional methods. Results on data from 30 patients with refractory epilepsy showed significant improvements in terms of concordance and contribution. The method also demonstrated superior delineation of spike-generating networks, contributing to the enhancement of EEG-fMRI effectiveness and providing a more realistic perception of neural behavior in epileptic generators.
FRONTIERS IN NEUROLOGY
(2021)
Article
Chemistry, Analytical
Abhishek Tiwari, Gordon Gray, Parker Bondi, Amin Mahnam, Tiago H. H. Falk
Summary: Photoplethysmography (PPG) is a popular biological modality used to measure blood volume changes. It can provide information about various physiological parameters, but accurate measurement requires good-quality PPG signals. In this work, a new PPG quality metric based on modulation spectrum properties is proposed and tested using real data.
Article
Medicine, General & Internal
Salih T. A. Ozcelik, Hakan Uyanik, Erkan Deniz, Abdulkadir Sengur
Summary: Blood pressure is the pressure exerted by blood in the veins against the vein walls. High blood pressure, also known as hypertension, is a major health problem that reduces quality of life, causes severe damage to the body, and has a high mortality rate. Rapid and effective diagnosis is crucial, and in this study, an automatic diagnosis of hypertension is proposed using ballistocardiography signals transformed into time-frequency domain and classified with ConvMixer architecture, which showed excellent results and short operation time compared to classical architectures.
Article
Engineering, Multidisciplinary
Pedro Urda, Javier F. Aceituno, Sergio Munoz, Jose L. Escalona
Summary: This paper presents the design, construction, and experimental validation of a scaled railway vehicle for automated and quick surveying of experimental scaled track geometry. The measurements of the automated recording vehicle (ARV) are validated by comparison with a precise but slow manual measuring method (MMM). The results show a good agreement between the ARV measurements and the MMM results.
Article
Multidisciplinary Sciences
Lara Hauke, Shwetha Narasimhan, Andreas Primessnig, Irina Kaverina, Florian Rehfeldt
Summary: FAFCK is a tool for fast and accurate analysis of FAs and SFs, enabling automated detection and recording of relevant information, facilitating the study and evaluation of force transmission mechanisms between cells and their surrounding environment.
Article
Optics
Yu Zhang, Meng-ting Wu, Ming-yu Tang, Feng-ying Ma, Er-jun Liang, Yan-li Du, Zhi-young Duan, Qiao-xia Gong
Summary: Single-shot FINCH technology utilizes three dual-lens patterns mixed into a phase mask to achieve real-time imaging of dynamic objects.
Article
Engineering, Electrical & Electronic
Kapil Gupta, Varun Bajaj, Irshad Ahmad Ansari
Summary: Obstructive sleep apnea (OSA) is a severe respiratory disorder that can cause cardiovascular complications. Deep learning models using ECG signals have shown promising results in automated OSA detection.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Industrial
Taha J. Alhindi, Jaeseung Baek, Young-Seon Jeong, Myong K. Jeong
Summary: For automobile manufacturers, reducing vehicle interior noise is crucial for improving customer satisfaction. This paper proposes a novel automated windshield wiper fault-detection system that outperforms existing methods in accurately identifying faulty wipers. By utilizing a binarization approach and matrix-factorization technique, meaningful features are extracted from sound signals to classify the wiper's condition.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
Summary: The study proposes an automated identification method for schizophrenia using time-frequency analysis and convolutional neural network, achieving an accuracy of 93.36%. Compared to traditional methods, this approach shows superior efficiency in feature extraction and has the potential to aid in diagnosing schizophrenia.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Organic
Guillaume Coin, Tuo Jiang, Samuele Bordi, Paula L. Nichols, Benedikt M. Wanner, Jeffrey W. Bode
Summary: The development of an automated process for Suzuki-Miyaura cross couplings is described, which involves automatic completion of the entire reaction, workup, and product isolation without any user involvement except for loading the starting materials and reaction capsule. This practical and simple method has been successfully demonstrated for the production of desired biaryl products using various aryl bromides and boronic acids, and it is also effective for late-stage functionalization of aryl halides in bioactive molecules.
Article
Engineering, Biomedical
Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Summary: In this paper, a novel framework is proposed for automated sleep staging based on sleep medicine guidance. The framework captures time-frequency characteristics of sleep EEG signals and utilizes a Transformer model with an attention-based module for staging decisions. The method achieves state-of-the-art results and demonstrates high inter-rater reliability, with important implications for healthcare and neuroscience research.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Astronomy & Astrophysics
Joost P. Wardenier, Vivien Parmentier, Elspeth K. H. Lee, Michael R. Line, Ehsan Gharib-Nezhad
Summary: In this study, the atmosphere of ultra-hot Jupiter WASP-76b was simulated under various conditions using a global circulation model, showing that the cross-correlation signal is primarily driven by temperature structure, rotation, and dynamics. The experiments revealed that the precise distribution of iron across the atmosphere has minimal impact on the signal and can be explained by iron condensation or temperature asymmetry.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Ornithology
Dean Evans, Jennie Pearce, Jennifer R. Foote
WILSON JOURNAL OF ORNITHOLOGY
(2017)
Article
Ornithology
L. Hodgson, J. R. Waas, J. R. Foote
JOURNAL OF AVIAN BIOLOGY
(2018)
Article
Behavioral Sciences
Lauren P. Fitzsimmons, Jennifer R. Foote, Laurene M. Ratcliffe, Daniel J. Mennill
Article
Behavioral Sciences
Jennifer R. Foote, Lauren P. Fitzsimmons, Daniel J. Mennill, Laurene M. Ratcliffe
Article
Behavioral Sciences
Lauren P. Fitzsimmons, Jennifer R. Foote, Laurene M. Ratcliffe, Daniel J. Mennill
BEHAVIORAL ECOLOGY
(2008)
Article
Behavioral Sciences
Jennifer R. Foote, Lauren P. Fitzsimmons, Daniel J. Mennill, Laurene M. Ratcliffe
Article
Zoology
Jennifer R. Foote, Erica Palazzi, Daniel J. Mennill
BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING
(2013)
Article
Zoology
Blaine J. Landsborough, Jennifer R. Foote, Daniel J. Mennill
BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING
(2019)
Article
Ornithology
Jennifer R. Foote, Colleen A. Barber
WILSON JOURNAL OF ORNITHOLOGY
(2009)
Article
Ornithology
Adrianna Bruni, Jennifer R. Foote
WILSON JOURNAL OF ORNITHOLOGY
(2014)
Article
Ecology
Daniel J. Mennill, Matthew Battiston, David R. Wilson, Jennifer R. Foote, Stephanie M. Doucet
METHODS IN ECOLOGY AND EVOLUTION
(2012)
Article
Behavioral Sciences
Jennifer R. Foote, Laura K. Nanni, Rebecca Schroeder
Article
Ornithology
Adrianna Bruni, Daniel J. Mennill, Jennifer R. Foote
JOURNAL OF ORNITHOLOGY
(2014)
Article
Ornithology
Kerry Perrault, Lynnea M. Lobert, Mandy Ehnes, Jennifer R. Foote
JOURNAL OF ORNITHOLOGY
(2014)