Article
Computer Science, Hardware & Architecture
Xiue Gao, Bo Chen, Panling Jiang, Zhengtao Xiang, Yufeng Chen, Yunming Wang
Summary: This study proposes a hierarchy-entropy-based method for reconfiguring C2 networks, considering the importance of nodes, edges, and hierarchical characteristics to comprehensively satisfy the local and global information of C2 networks. The results demonstrate that this method improves the reconfiguration effect and reduces the reconfiguration cost.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Chemistry, Multidisciplinary
Jinlong Yu, Zhi Li, Lu Jia, Yasheng Zhang
Summary: This paper proposes a control scheme based on switching neural networks for underactuated formation reconfiguration in elliptic orbits with the loss of either the radial or in-track thrust. By using the inherent coupling of system states, the switching neural network technique is adopted to estimate the unmatched disturbances and design the underactuated controller to achieve high-precision underactuated formation reconfiguration.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Shih-Hung Yang, Jyun-We Huang, Chun-Jui Huang, Po-Hsiung Chiu, Hsin-Yi Lai, You-Yin Chen
Summary: The study introduces a temporal attention-aware timestep selection method (TTS) to enhance the interpretability and accuracy of neural activity decoding. This approach efficiently selects crucial timesteps, outperforming state-of-the-art neural decoders while reducing computation time in offline and online prediction.
Article
Computer Science, Hardware & Architecture
Hui Yang, Kaixuan Zhan, Bowen Bao, Qiuyan Yao, Jie Zhang, Mohamed Cheriet
Summary: With the rise of new B5G services, traditional manual network configuration lacks flexibility and timeliness, prompting the need for an intent-driven and self-adapting network architecture. This approach involves analyzing intent requests, utilizing deep reinforcement learning to optimize slicing policies, and employing deep neural evolution network for real-time slicing reconfiguration. The efficiency of this proposal has been verified on an enhanced SDN testbed.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Behavioral Sciences
Qian Ding, Huiting Cai, Manfeng Wu, Guiyuan Cai, Hongying Chen, Wanqi Li, Tuo Lin, Yinghua Jing, Tifei Yuan, Guangqing Xu, Yue Lan
Summary: This study systematically investigated the relationship between resting-state intracortical inhibition or facilitation and inhibitory control, finding a positive correlation between short intracortical facilitation and poorer inhibitory control. This suggests that short intracortical facilitation may serve as a potential physiological biomarker for motor-inhibitory control and have clinical implications for disorders associated with inhibitory control deficits.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Mechanics
Xue Deng, Mingming Guo, Hao Chen, Ye Tian, Jialing Le, Hua Zhang
Summary: This paper proposes a flow field reconstruction algorithm based on deep learning, which utilizes a dual-branch fusion model with a multi-head attention mechanism to accurately reconstruct the flow field structure in a supersonic combustor. It has great significance for predicting the operating performance of a scramjet engine.
Article
Multidisciplinary Sciences
R. Garcia-Cortadella, G. Schwesig, C. Jeschke, X. Illa, Anna L. Gray, S. Savage, E. Stamatidou, I Schiessl, E. Masvidal-Codina, K. Kostarelos, A. Guimera-Brunet, A. Sirota, J. A. Garrido
Summary: Graphene active sensors have emerged as a promising building block for large-scale neural interfaces, demonstrating good performance in wide frequency band sensitivity, stability, and biocompatibility. The authors performed proof-of-concept long-term wireless recording in a freely behaving rodent to illustrate the technology's potential to detect cortical signals from infra-slow to high-gamma frequency bands.
NATURE COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Meysam Yadegar, Mohammadhosein Bakhtiaridoust, Nader Meskin
Summary: This paper proposes an adaptive data-driven fault-tolerant control scheme using the Koopman operator for unknown dynamics subjected to nonlinearities, time-varying loss of effectiveness, and additive actuator faults. The main objective is to design a virtual actuator to hide actuator faults without prior knowledge about the system's dynamics. Based on the Koopman operator theory, an equivalent Koopman predictor is obtained, and a virtual actuator is designed and implemented. The approach demonstrates its efficacy through simulation and comparison study.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Neurosciences
Sara J. Hussain, Mary K. Vollmer, Inaki Iturrate, Romain Quentin
Summary: The release of motor commands coincides with restricted phases of the contralateral sensorimotor beta rhythm, suggesting that the phase of the sensorimotor beta rhythm may shape the timing of voluntary human movement.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Yuval Baumel, Dana Cohen
Summary: The study investigated the interaction between single neurons and LFP in the cerebellar nuclei of freely moving rats. It found that neurons oscillated in the theta frequency band during movement, contingent on the concurrent LFP oscillation power, primarily oscillating when the LFP power was high or low. The study demonstrated a nonlinear, state-dependent entrainment of single neurons to the LFP, contributing to shaping cerebellar output patterns.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Engineering, Biomedical
M. Braecklein, J. Ibanez, D. Y. Barsakcioglu, D. Farina
Summary: The study demonstrated that subjects could control cursor movement and muscle contraction force by modulating the power of neural signal frequencies, showing that beta band activity could be effectively controlled during these processes.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
Zahra Shirmohammadi, Yassin Allivand, Fereshteh Mozaffari, Ahmad Patooghy, Mona Jalal, Sanaz Kazemi Abharian
Summary: This study proposes a new reconfigurable switch architecture called ReNo to enhance the resilience of NoCs against transient faults. The architecture utilizes a local configuration controller logic to adjust the switch's reliability mode based on error rates, minimizing performance and power overheads. Simulation results demonstrate significant reliability improvement and at least 20% performance and power saving compared to existing mechanisms.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
Leonardo Cardinali, Silvestro Roatta, Raffaele Pertusio, Marcella Testa, Cristina Moglia
Summary: This is a video game that utilizes the pupillary accommodative response (PAR) to control the height of a spaceship by adjusting the size of the pupil. The game involves colliding with bubbles to score points, and the height of the spaceship is determined by the pupil area. The game can record changes in pupil size for offline analysis and is intended as a training tool for alternative augmentative communication.
Article
Mathematics
Yichuan Wang, Junxia Ding, Tong Zhang, Yeqiu Xiao, Xinhong Hei
Summary: In recent years, various network attacks have increased, while their details and characteristics are often recorded in Pcap data. Analyzing these details solely through traditional methods is not effective, hence the importance of restoring network attack scenarios through scene reconstruction for detecting and defending against network attacks. This paper proposes an SDN-based network attack scenario recovery method that can regenerate network traffic data by parsing Pcap data and utilizing network topology reconstruction, probability, and packet sequence models. Experimental results show a higher similarity between the reconstructed and actual attack scenarios, providing network defenders with a better understanding of the attackers' posture and enabling them to formulate appropriate security strategies.
Article
Chemistry, Multidisciplinary
Jin-Kun Guo, Haojie Wang, Fengjiao Chang, Jinzhong Ling, Ying Yuan, Xuantao Zhang, Xiaorui Wang
Summary: This study proposes a simple, precise, and scalable batch method for producing double emulsions with monodispersed multicores, using temperature as the main factor. The method allows for simultaneous processing of all emulsion droplets, has great flexibility, good production capacity, and compatibility with microfluidic technologies. It also offers a reversible tool for processing double emulsions with minimal cost and expertise.
Review
Biochemistry & Molecular Biology
Paul Baudin, Louis Cousyn, Vincent Navarro
Summary: LGI1 is a glycoprotein mainly expressed in the brain, involved in central nervous system development and physiology. Mutations in LGI1 are linked to certain types of epilepsy, and autoantibodies against LGI1 are associated with autoimmune encephalitis.
CELLULAR AND MOLECULAR LIFE SCIENCES
(2022)
Article
Clinical Neurology
Aurelie Hanin, Sophie Demeret, Jerome Alexandre Denis, Vi-Huong Nguyen-Michel, Benjamin Rohaut, Clemence Marois, Francoise Imbert-Bismut, Dominique Bonnefont-Rousselot, Pierre Levy, Vincent Navarro, Virginie Lambrecq
Summary: The study discussed the relationship between neuron-specific enolase (NSE) and S100-beta (S100B) levels with EEG activity to evaluate seizure risk in patients with acute brain injury. It was found that NSE levels were positively correlated with EEG scores, and higher NSE levels were associated with an increased risk of seizure recurrence.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
David Henao, Miguel Navarrete, Jose Yesith Juez, Hugo Dinh, Rodrigo Gomez, Mario Valderrama, Michel Le Van Quyen
Summary: This study aimed to investigate the potential usability of in-the-ear electroencephalography for implementing auditory closed-loop stimulation during sleep. The findings suggest that in-ear activity provides enough information to automatically detect sleep slow oscillations in real-time, and successful enhancement of scalp slow oscillations was achieved using in-ear signals.
JOURNAL OF SLEEP RESEARCH
(2022)
Review
Clinical Neurology
Geoffroy Vellieux, Valerio Frazzini, Phintip Pichit, Sophie Dupont, Isabelle Gourfinkel-An, Vincent Navarro
Summary: This study retrospectively reviewed the clinical, neuro-radiological, and electroencephalographical findings of adult patients with Sturge-Weber syndrome (SWS) to describe the course of the disease and characterize uncommon neurological features in adults.
JOURNAL OF NEUROLOGY
(2022)
Article
Neurosciences
Miguel Navarrete, Steven Arthur, Matthias S. Treder, Penelope A. Lewis
Summary: Large slow oscillations (SO) are important for memory consolidation and manipulating them may improve sleep, memory, and immune system. This study used electroencephalography (EEG) to train classifiers and predict the effectiveness of auditory stimulation in enhancing SO and spindle activities. The results offer new insights into SO and spindle dynamics and may contribute to the development of online optimization methods.
Article
Clinical Neurology
Yann Nadjar, Pierre Levy, Vi-Huong Nguyen-Michel, Charles-Edouard Luyt, Louis Puybasset, Vincent Navarro
Summary: This study aimed to identify the features that may predict the outcome of patients with post anoxic coma (PAC) by analyzing electroencephalographic (EEG) patterns. The presence of EEG paroxysms (EP) and their regularity features were strongly associated with poor outcome in PAC patients. A global regularity score derived from visual EEG inspection could be a reliable prognostic tool.
NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Mireia Guix, Xavier Font
Summary: Stakeholder consultations play a significant role in legitimizing the balance of participants, the quality of the process, and its effective results. This study proposes a deliberative digital stakeholder consultation methodology based on an appreciative inquiry approach to materiality assessment. It demonstrates the application of this methodology in a four-month consultation for the European Commission. Through an interactive online consultation due to COVID-19, dynamism and co-creation were facilitated. The appreciative inquiry approach introduced a sense of ownership and legitimacy, contributing to policy development.
ANNALS OF TOURISM RESEARCH
(2022)
Article
Clinical Neurology
Eden Debellemaniere, Clemence Pinaud, Jules Schneider, Pierrick J. Arnal, Alexander J. Casson, Mounir Chennaoui, Mathieu Galtier, Miguel Navarrete, Penelope A. Lewis
Summary: Recent studies have shown that slow oscillations (SOs) can be driven by rhythmic auditory stimulation, which enhances slow-wave sleep (SWS) and improves associated memory and immune function. This study aimed to investigate the impact of applying more than five clicks in a row and the effects of different sound types on driving SOs. The results demonstrated that all three types of sounds tested (pink noise, pure sounds, and pronounced vowels) were able to elicit SOs, with pink noise inducing the most pronounced response.
JOURNAL OF SLEEP RESEARCH
(2022)
Article
Parasitology
Maylin Gonzalez Navarrete, Adnan Hodzic, Belkis Corona-Gonzalez, Matheus Dias Cordeiro, Claudia Bezerra da Silva, Liani Coronado Baez, Dasiel Obregon, Daniel Moura de Aguiar, Amanda Noeli da Silva Campos, Isis Indaiara Goncalves Granjeiro Taques, Alejandra Wu-Chuang, Eugenio Roque Lopez, Elianne Piloto-Sardinas, Lianet Abuin-Denis, Adivaldo Henrique da Fonseca, Alejandro Cabezas-Cruz
Summary: This study characterized the genetic diversity of E. canis in Cuba based on the trp36 gene and identified a new genogroup called the 'Cuba (CUB) genogroup'. Dogs infected with the CUB genogroup showed frequent hemorrhagic lesions, suggesting that genetic diversification of E. canis in Cuba is associated with increased virulence.
PARASITES & VECTORS
(2022)
Article
Neurosciences
Jennifer K. Roebber, Penelope A. Lewis, Vincenzo Crunelli, Miguel Navarrete, Khalid Hamandi
Summary: There is a close relationship between sleep and epilepsy, and this study found that poly-ASM treatment not only changes specific sleep waveforms, but also impacts the coupling of spindles and slow waves. These findings are important for understanding the effects of ASM on sleep and memory in people with epilepsy.
Article
Clinical Neurology
Louis Cousyn, Remy Ben Messaoud, Katia Lehongre, Valerio Frazzini, Virginie Lambrecq, Claude Adam, Bertrand Mathon, Vincent Navarro, Mario Chavez
Summary: The study evaluated whether intracranial EEG connectivity estimated from daily vigilance-controlled resting-state recordings could distinguish interictal from preictal states and be used for daily forecasts of seizure risk using machine learning models. The results showed that connectivity in the theta band provided the best prediction performance.
Letter
Clinical Neurology
Geoffroy Vellieux, Emmanuelle Apartis, Vincent Degos, Philippe Fossati, Vincent Navarro
Article
Clinical Neurology
Miguel Navarrete, Alejandro Osorio-Forero, Angela Gomez, David Henao, Fredy E. Segura-Quijano, Michel Le Van Quyen, Mario Valderrama
Summary: By studying the effect of closed-loop acoustic stimulation on slow wave events during sleep, we found that different types of slow wave events may have distinct functional roles and differential response to external stimuli. However, the impact of closed-loop acoustic stimulation on slow wave synchronization processes is not well understood.
Article
Clinical Neurology
Cedric Dusanter, Marion Houot, Marie Mere, Marisa Denos, Severine Samson, Bastien Herlin, Vincent Navarro, Sophie Dupont
Summary: The aim of this study was to evaluate the specific effects of antiseizure medications (ASMs) on cognition in a group of refractory patients with epilepsy. The results showed that the type and number of ASMs had a significant impact on cognition, especially topiramate (TPM) and sodium valproate (VPA). Based on the findings, it is recommended to reduce the total number of drugs received and avoid medications with unfavorable cognitive profiles.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Amal Fouad, Hamed Azizollahi, Jean-Eudes Le Douget, Francois-Xavier Lejeune, Mario Valderrama, Liliana Mayor, Vincent Navarro, Michel Le Van Quyen
Summary: This study investigates the modulation and spatial distribution of interictal epileptiform discharges and their relationship with seizure onset zones during wake and sleep. The findings suggest that the rate and morphology of these discharges are influenced by brain areas, sleep stages, and seizure onset zones.
BRAIN COMMUNICATIONS
(2022)