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JOURNAL ARTICLE
Stylianos Tzeis, Edward P Gerstenfeld, Jonathan Kalman, Eduardo B Saad, Alireza Sepehri Shamloo, Jason G Andrade, Chirag R Barbhaiya, Tina Baykaner, Serge Boveda, Hugh Calkins, Ngai-Yin Chan, Minglong Chen, Shih-Ann Chen, Nikolaos Dagres, Ralph J Damiano, Tom De Potter, Isabel Deisenhofer, Nicolas Derval, Luigi Di Biase, Mattias Duytschaever, Katia Dyrda, Gerhard Hindricks, Meleze Hocini, Young-Hoon Kim, Mark la Meir, Jose Luis Merino, Gregory F Michaud, Andrea Natale, Isabelle Nault, Santiago Nava, Takashi Nitta, Mark O'Neill, Hui-Nam Pak, Jonathan P Piccini, Helmut Pürerfellner, Tobias Reichlin, Luis Carlos Saenz, Prashanthan Sanders, Richard Schilling, Boris Schmidt, Gregory E Supple, Kevin L Thomas, Claudio Tondo, Atul Verma, Elaine Y Wan, Daniel Steven, Michael-Joseph Agbayani, T Jared Bunch, Aman Chugh, Juan Carlos Díaz, James V Freeman, Carina Abigail Hardy, Hein Heidbuchel, Sofian Johar, Dominik Linz, Bart Maesen, Peter A Noseworthy, Seil Oh, Andreu Porta-Sanchez, Tatjana Potpara, Gerardo Rodriguez-Diez, Frederic Sacher, Piotr Suwalski, Serge A Trines
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017...
March 30, 2024: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
#22
JOURNAL ARTICLE
Translation and validation of the Hungarian version of the Birth Satisfaction Scale-Revised (BSS-R).
Hunor Abrán, Kálmán Kovács, Zalán Horvát, Edina Erőss, Caroline J Hollins Martin, Colin R Martin
BACKGROUND: Evidence relating maternal birth experience to a range of maternal and neonatal outcomes is increasingly compelling. Consequently valid and reliable self-report of birth experience from the mothers perspective is critical. AIM: The current study sought to translate and validate a Hungarian-language version of the Birth Satisfaction Scale-Revised (BSS-R). METHOD: Following forward and backwards translation into Hungarian, the Hungarian BSS-R (HU-BSS-R) was administered to women in a major Transylvanian hospital maternity unit within 72 h postpartum...
March 26, 2024: Midwifery
#23
JOURNAL ARTICLE
Pyungwon Kang, Philippe N Tobler, Peter Dayan
We and other animals learn because there is some aspect of the world about which we are uncertain. This uncertainty arises from initial ignorance, and from changes in the world that we do not perfectly know; the uncertainty often becomes evident when our predictions about the world are found to be erroneous. The Rescorla-Wagner learning rule, which specifies one way that prediction errors can occasion learning, has been hugely influential as a characterization of Pavlovian conditioning and, through its equivalence to the delta rule in engineering, in a much wider class of learning problems...
April 3, 2024: Neurobiology of Learning and Memory
#24
JOURNAL ARTICLE
Ahmadreza Masoum, Lars Nerger, Matteo Willeit, Andrey Ganopolski, Gerrit Lohmann
Using the climate model CLIMBER-X, we present an efficient method for assimilating the temporal evolution of surface temperatures for the last deglaciation covering the period 22000 to 6500 years before the present. The data assimilation methodology combines the data and the underlying dynamical principles governing the climate system to provide a state estimate of the system, which is better than that which could be obtained using just the data or the model alone. In applying an ensemble Kalman filter approach, we make use of the advances in the parallel data assimilation framework (PDAF), which provides parallel data assimilation functionality with a relatively small increase in computation time...
2024: PloS One
#25
JOURNAL ARTICLE
Zukai Sun, Hengying Xu, Jingshuai Qiao, Mingjiao Wang, Yining Zhang, Chenglin Bai, Lishan Yang, Weibin Sun, Fan Yang
Extreme scenario of lightning strikes would generate ultra-fast rotation of state-of-polarization (RSOP) up to 5.1 Mrad/s and large polarization mode dispersion (PMD) in optical ground wire (OPGW). Unfortunately, the conventional multiple modulus algorithm (MMA) cannot equalize these polarization impairments in polarization division multiplexing (PDM) probabilistic constellation shaping (PCS)-64QAM system. Moreover, due to unavoidable linearization errors and higher modulation order, the extended Kalman filter based on measurement equations of concatenated multiplication (EKF-CM) is highly unstable and fails under such scenarios...
March 11, 2024: Optics Express
#26
JOURNAL ARTICLE
Guangmin Li, Ya Zhang, Shiwei Fan, Chunzhi Liu, Fei Yu, Xiaofeng Wei, Wenling Jin
The bionic polarization sensor (PS)/MEMS inertial measurement unit (MIMU) integrated system can provide reliable attitude and heading information for unmanned vehicles in the case of GNSS rejection. However, the existing measurement methods have poor adaptability to inclining, sheltering, and other harsh environments, and do not make full use of the complementary characteristics of the gyroscopes, accelerometers, and PS, which seriously affects the system performance. Therefore, this paper proposes an attitude and heading measurement method based on an adaptive complementary Kalman filter (ACKF), which corrects the gyroscopes according to the gravity measured by the accelerometers to improve the attitude accuracy and fuses the IMU heading and tilt-compensated polarization heading by Kalman optimal estimation...
March 11, 2024: Optics Express
#27
JOURNAL ARTICLE
Mingjin Gao, Yuhang Li, Fan Zhang, Jiehao Wang, Shuyang He, Huijian Liang, Yumin Zhang, Lianqing Zhu, Xiaoshun Jiang, Qiang Liu
Dispersion plays a great role in ultrafast laser oscillators, ultrashort pulse amplifiers, and many other nonlinear optical dynamics. Therefore, dispersion measurement is crucial for device characterization, system design and nonlinear dynamics investigation therein. In this work, we demonstrate a versatile approach, i.e., Kalman filtering-aided white-light interferometry, for group delay dispersion (GDD) characterization. Extended Kalman filter is adopted to track the cosine-like interferogram, and to eliminate the unintended bias and the envelope, providing a nearly ideal phase retrieval and GDD estimation...
March 25, 2024: Optics Express
#28
JOURNAL ARTICLE
Yuan Tian, Xiaodong Hu, Songmao Chen, Yixin Zhao, Xuan Zhang, Dingjie Wang, Weihao Xu, Meilin Xie, Wei Hao, Xiuqin Su
The increasing risk posed by space debris highlights the need for accurate localization techniques. Spaceborne single photon Lidar (SSPL) offers a promising solution, overcoming the limitations of traditional ground-based systems by providing expansive coverage and superior maneuverability without being hindered by weather, time, or geographic constraints. This study introduces a novel approach leveraging non-parametric Bayesian inference and the Dirichlet process mixture model (DPMM) to accurately determine the distance of space debris in low Earth orbit (LEO), where debris exhibits nonlinear, high dynamic motion characteristics...
March 25, 2024: Optics Express
#29
JOURNAL ARTICLE
Peng Li, Mao Wang, Zhao Zhang, Bing Zhang, Yankun Wang
The relative attitude estimation between chasers and uncooperative targets is an important prerequisite for executing in orbit service (OOS) tasks. Only by efficiently obtaining relative pose parameters can chasers design close-range rendezvous trajectories close to uncooperative targets. The focus of this article is on active systems, such as TOF cameras or LIDAR. This paper proposes an attitude estimation scheme to obtain relative attitude parameters between uncooperative targets. This scheme utilizes LIDAR to obtain three-dimensional point clouds of non-cooperative targets, extracts key points and simplifies the number of point clouds through joint farthest point sampling and point cloud feature analysis, and then uses point fast feature histograms (FPFHs) and robust iterative closest point algorithms to achieve point cloud registration between every two frames...
March 10, 2024: Applied Optics
#30
JOURNAL ARTICLE
Gourab Saha, Chaopeng Shen, Jonathan Duncan, Raj Cibin
Accurate and frequent nitrate estimates can provide valuable information on the nitrate transport dynamics. The study aimed to develop a data-driven modeling framework to estimate daily nitrate concentrations at low-frequency nitrate monitoring sites using the daily nitrate concentration and stream discharge information of a neighboring high-frequency nitrate monitoring site. A Long Short-Term Memory (LSTM) based deep learning (DL) modeling framework was developed to predict daily nitrate concentrations. The DL modeling framework performance was compared with two well-established statistical models, including LOADEST and WRTDS-Kalman, in three selected basins in Iowa, USA: Des Moines, Iowa, and Cedar River...
April 1, 2024: Journal of Environmental Management
#31
JOURNAL ARTICLE
Longbin Zeng, Jianfeng Feng, Wenlian Lu
Recent experimental observations have supported the hypothesis that the cerebral cortex operates in a dynamical regime near criticality, where the neuronal network exhibits a mixture of ordered and disordered patterns. However, A comprehensive study of how criticality emerges and how to reproduce it is still lacking. In this study, we investigate coupled networks with conductance-based neurons and illustrate the co-existence of different spiking patterns, including asynchronous irregular (AI) firing and synchronous regular (SR) state, along with a scale-invariant neuronal avalanche phenomenon (criticality)...
March 15, 2024: Heliyon
#32
JOURNAL ARTICLE
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, Nicol S Harper, Rafal Bogacz
One of the key problems the brain faces is inferring the state of the world from a sequence of dynamically changing stimuli, and it is not yet clear how the sensory system achieves this task. A well-established computational framework for describing perceptual processes in the brain is provided by the theory of predictive coding. Although the original proposals of predictive coding have discussed temporal prediction, later work developing this theory mostly focused on static stimuli, and key questions on neural implementation and computational properties of temporal predictive coding networks remain open...
April 1, 2024: PLoS Computational Biology
#33
JOURNAL ARTICLE
Sebastian Alexandru Popa, Adriana Morar, Alexandra Ban-Cucerzan, Emil Tîrziu, Viorel Herman, Mirela Imre, Tiana Florea, Doru Morar, Răzvan-Tudor Pătrînjan, Kálmán Imre
Campylobacter spp. is recognized as one of the most common pathogens involved in the development of gastrointestinal infections in humans. The current study aimed to enhance the knowledge on the occurrence and molecular characterization of Campylobacter spp. in pigs and cattle origin caecum samples (n = 56) collected in one year, from nine Romanian slaughterhouses, and to determine the antimicrobial resistance profile of the isolated strains. All Campylobacter spp. strains (n = 41) isolated from swine and cattle caecum samples were analyzed in terms of antimicrobial resistance, in accordance with the EURL protocol and with the Commission Implementing Decision No...
April 1, 2024: Veterinary Research Communications
#34
JOURNAL ARTICLE
Limei Liang, Shuai Liu, Haotian Xu, Rong Su, Yueyang Li
In this paper we focus on the distributed cyber attack detection and physical fault diagnosis problem for a class of interconnected large-scale systems (ILSSs). In the proposed scheme, apart from node measurement, edge measurement is also used to construct distributed Kalman filter to estimate the state of each subsystem. The gain matrices of Kalman filter are determined by minimizing the covariance of estimation error in the attack-free and fault-free case, which reduces the false alarm rate of cyber attack detection and physical fault diagnosis...
March 18, 2024: ISA Transactions
#35
JOURNAL ARTICLE
Carlos Muñoz-Poblete, Cristian González-Aguirre, Robert H Bishop, David Cancino-Baier
This work is focused on developing a self-calibration algorithm for an orientation estimation of cattle movements based on a quaternion Kalman filter. The accelerometer signals in the earth's frame provide more information to confirm that the cow is performing a jump to mount another cow. To obtain the measurements in the earth's frame, we propose a self-calibration method based on a strapdown inertial navigation system (SINS), which does not require intervention by the user once deployed in the field. The self-calibration algorithm uses a quaternion-based Kalman filter to predict the angular orientation with bias correction, and update it based on the measurements of accelerometers and magnetometers...
March 13, 2024: Sensors
#36
JOURNAL ARTICLE
Qiyang Hu, Shunan Wu, Fanchen Meng, Zhigang Wu
On-orbit servicing using a space robot is gaining popularity among the space community for both economic and safety aspects. In particular, the estimation of the relative motion of a noncooperative target is a challenging problem. This study presents a relative motion estimation scheme based on stereovision for noncooperative targets considering multiple solutions of rotational parameters. Specifically, the mass distribution of the target is identified based on the least-square method and the principle of conservation of angular momentum...
March 12, 2024: Sensors
#37
JOURNAL ARTICLE
Leopold G Beuken, Joshua L Priest, Travis Hainsworth, J Sean Humbert
Modern ski design is an inherently time-consuming process that involves an iterative feedback loop comprised of design, manufacturing and in-field qualitative evaluations. Additionally consumers can only rely on qualitative evaluation for selecting the ideal ski, and due to the variation in skier styles and ability levels, consumers can find it to be an inconsistent and expensive experience. We propose supplementing the design and evaluation process with data from in-field prototype testing, using a modular sensor array that can be ported to nearly any ski...
March 11, 2024: Sensors
#38
JOURNAL ARTICLE
Ines Miloud, Sebastien Cauet, Erik Etien, Jack P Salameh, Alexandre Ungerer
This paper aims at achieving real-time optimal speed estimation for an induction motor using the Extended Kalman filter (EKF). Speed estimation is essential for fault diagnosis in Motor Current Signature Analysis (MCSA). The estimation accuracy is obtained by exploring the noise covariance matrices estimation of the EKF algorithm. The noise covariance matrices are determined using a modified subspace model identification approach. In order to reach this goal, this method compares an estimated model of a deterministic system, derived from available input-output datasets (using voltage-current sensors), with the discrete-time state-space representation used in the Kalman filter equations...
March 7, 2024: Sensors
#39
JOURNAL ARTICLE
Xiong Jiang, Tao Liu, Jie Duan, Maosheng Hou
A gyroscope-free strapdown inertial navigation system (GFSINS) solves the carrier attitude through the reasonable spatial combination of accelerometers, with a particular focus on the precision of angular velocity calculation. This paper conducts an analysis of a twelve-accelerometer configuration scheme and proposes an angular velocity fusion algorithm based on the Kalman filter. To address the sign misjudgment issue that may arise when calculating angular velocity using the extraction algorithm, a sliding window correction method is introduced to enhance the accuracy of angular velocity calculation...
February 29, 2024: Micromachines
#40
JOURNAL ARTICLE
Jianhua Cheng, Zili Wang, Bing Qi, He Wang
Combined SINS/GPS navigation systems have been widely used. However, when the traditional combined SINS/GPS navigation system travels between tall buildings, in the shade of trees, or through tunnels, the GPS encounters frequent signal blocking, which leads to the interruption of GPS signals, and as a result, the combined SINS/GPS-based navigation method degenerates into a pure inertial guidance system, which will lead to the accumulation of navigation errors. In this paper, an adaptive Kalman filtering algorithm based on polynomial fitting and a Taylor expansion is proposed...
March 10, 2024: Entropy
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