Article
Engineering, Electrical & Electronic
Satendra Kumar, Sudip Misra
Summary: This article investigates the economic interaction between a single base station and multiple content owners for content delivery, and designs a fair incentive mechanism to motivate content owners for content delivery.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Optics
Guan-Jie Fan-Yuan, Feng-Yu Lu, Shuang Wang, Zhen-Qiang Yin, De-Yong He, Zheng Zhou, Jun Teng, Wei Chen, Guang-Can Guo, Zheng-Fu Han
Summary: Untrusted node networks implemented by MDI-QKD are crucial for the quantum Internet. Upgrading existing networks to MDI networks can be achieved with the NSA-MDI scheme, improving network survivability and meeting diverse security and bandwidth demands.
PHOTONICS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Ze-Zhou Sun, Dong Pan, Dong Ruan, Gui-Lu Long
Summary: In this paper, we propose a one-sided measurement-device-independent quantum secure direct communication (1SMDI-QSDC) protocol that is independent of detection loopholes and weakens the requirement for state preparation. Realistic experimental settings are used to analyze the secrecy capacity of this protocol, and the results show that our protocols can achieve secure communication over a few hundred kilometers. Furthermore, we find that the coding technology of increasing capacity using masking (INCUM) can mitigate the degradation of the maximum distance of secure communication when the state preparation is highly untrustworthy.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Mansi Peer, Vivek Ashok Bohara, Anand Srivastava
Summary: This study introduces a novel multi-hop device-to-device communication framework to connect to an active base station and maximize the number of covered users in a disaster-affected area within a given time frame. The proposed algorithm, formulated as an integer linear programming problem, offers a low complexity solution with significant reduction in processing time compared to the optimal solution. It outperforms traditional shortest path routing based scheduling in terms of coverage in disaster-affected areas.
Article
Neurosciences
Melanie Segado, Robert J. Zatorre, Virginia B. Penhune
Summary: The study shows overlapping brain activity in compensation for introduced feedback perturbations between cello playing and singing, while differences are observed when ignoring. These differences primarily center around the relevant motor effectors (hand, larynx).
Article
Physics, Multidisciplinary
Chao Zhang, Wen-Hao Zhang, Pavel Sekatski, Jean-Daniel Bancal, Michael Zwerger, Peng Yin, Gong-Chu Li, Xing-Xiang Peng, Lei Chen, Yong-Jian Han, Jin-Shi Xu, Yun-Feng Huang, Geng Chen, Chuan-Feng Li, Guang-Can Guo
Summary: This letter presents a general and robust device-independent method for detecting and quantifying genuine multipartite entanglement in various realistic quantum states.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Chao Zhang, Wen-Hao Zhang, Pavel Sekatski, Jean-Daniel Bancal, Michael Zwerger, Peng Yin, Gong-Chu Li, Xing-Xiang Peng, Lei Chen, Yong-Jian Han, Jin-Shi Xu, Yun-Feng Huang, Geng Chen, Chuan-Feng Li, Guang-Can Guo
Summary: This study explores a general and robust device-independent method for certifying and quantifying the presence of genuine multipartite entanglement, relying solely on bipartite Bell inequalities. By using this method, several important classes of entangled states have been successfully tested, and genuine multipartite entanglement has been certified in weakly entangled non-standard states.
PHYSICAL REVIEW LETTERS
(2022)
Article
Computer Science, Information Systems
Niloofar Bahadori, Mahmoud Nabil, Brian Kelley, Abdollah Homaifar
Summary: This paper proposes a novel scheme for the efficient initialization of CCN-based D2D networks in the mmWave band, improving network throughput through decentralized peer association and antenna beamwidth selection.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Physics, Multidisciplinary
Yuyan Wei, Siying Wang, Yajing Zhu, Tao Li
Summary: Multiparty quantum communication is a vital branch of quantum networks, allowing secure transmission of private information among legitimate parties. The proposed sender-controlled measurement-device-independent protocol ensures security and reliability in secret sharing by checking quantum channel security and receiver reliability before encoding private messages. It is a convenient solution for multiparty quantum communication.
FRONTIERS OF PHYSICS
(2022)
Article
Engineering, Electrical & Electronic
Mohamed Elnourani, Siddharth Deshmukh, Baltasar Beferull-Lozano, Daniel Romero
Summary: This paper focuses on the optimization of power and channel allocation in device-to-device (D2D) communications, proposing a joint resource allocation scheme for both uplink and downlink. The objective is to maximize the overall network rate while maintaining fairness among D2D pairs. The study also considers imperfect channel-state-information (CSI) and desired quality-of-service (QoS).
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Quantum Science & Technology
Yong-Li Yang, Yu-Guang Yang, Yi-Hua Zhou, Wei-Min Shi, Dan Li
Summary: In this study, a measurement-device-independent quantum wireless network communication protocol is proposed, which aims to address the issues of malicious node attacks and the drawback of shared states between nodes.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Physics, Multidisciplinary
Lan Zhou, Yu-Bo Sheng
Summary: This paper introduces a hyperentanglement-based one-step DI-QSDC protocol, which enhances the security of QSDC by simplifying the experiment and reducing message loss. The protocol eliminates message loss and errors caused by channel noise through hyperentanglement heralded amplification and hyperentanglement purification, and significantly extends the communication distance.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2022)
Article
Quantum Science & Technology
Guang Ping He
Summary: This study proposes an MDI-QKD protocol that only requires individual measurements and classical operations, reducing the technical requirements for Bob and Charlie during implementation.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Mathematics
Alexis Kosmidis, Georgios Ioannidis, Georgios Vokas, Stavros Kaminaris
Summary: This study presents a revolutionary real-time control technique called the four-wheel independent steering system for electric vehicles. It combines neural networks with fuzzy logic to achieve precise control of the four steering wheels. The system monitors the condition of each wheel, ensuring that even in the case of wheel failure, the vehicle can maintain its course.
Article
Engineering, Electrical & Electronic
Ye Sun, Fan Li, Gang Li, Xiaorui Ma, Qinghua Gao, Miao Pan, Jie Wang
Summary: This paper introduces a lightweight device-free wireless sensing method based on edge intelligence techniques. By using network pruning and network quantization, the complexity and storage requirement of the sensing system can be reduced while maintaining good sensing performance.
IEEE SENSORS JOURNAL
(2022)
Meeting Abstract
Clinical Neurology
M. Qubad, C. V. Barnes-Scheufler, M. Schaum, E. Raspor, L. Roesler, P. Benjamin, G. Rainer, A. Reif, R. Bittner
EUROPEAN NEUROPSYCHOPHARMACOLOGY
(2021)
Article
Engineering, Biomedical
Assunta Ciarlo, Andrea G. Russo, Sara Ponticorvo, Francesco di Salle, Michael Luhrs, Rainer Goebel, Fabrizio Esposito
Summary: This study assessed the performance of semantic rt-fMRI-NF in multiple subjects and sessions, showing that subjects can successfully modulate and maintain a target mental state when guided by rt-RSA derived feedback.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Katrin Amunts, Javier DeFelipe, Cyriel Pennartz, Alain Destexhe, Michele Migliore, Philippe Ryvlin, Steve Furber, Alois Knoll, Lise Bitsch, Jan G. Bjaalie, Yannis Ioannidis, Thomas Lippert, Maria V. Sanchez-Vives, Rainer Goebel, Viktor Jirsa
Summary: Understanding the human brain is a Grand Challenge for 21st century research. Computational approaches and dynamic generative multiscale models are instrumental for linking brain structure and function. The intersection of neuroscience, computing, and robotics has the potential to advance neuro-inspired technologies. To facilitate research sharing and collaboration, the Human Brain Project has launched the digital neuroscience research infrastructure EBRAINS.
Article
Clinical Neurology
Zeena Britt Sanders, Melanie K. Fleming, Tom Smejka, Marilien C. Marzolla, Catharina Zich, Sebastian W. Rieger, Michael Luhrs, Rainer Goebel, Cassandra Sampaio-Baptista, Heidi Johansen-Berg
Summary: Chronic stroke survivors can use real-time fMRI neurofeedback to self-regulate motor cortex activity, leading to improvements in gross motor performance of the affected limb and structural brain changes.
Article
Multidisciplinary Sciences
Mishal Qubad, Catherine Barnes-Scheufler, Michael Schaum, Eva Raspor, Lara Rosler, Benjamin Peters, Carmen Schiweck, Rainer Goebel, Andreas Reif, Robert A. Bittner
Summary: The use of localizer paradigms to define regions of interest (ROIs) is important in studying the visual system with fMRI. However, the interindividual variability of the cerebral cortex poses challenges for group-level analyses. Cortex-based alignment (CBA) techniques have been shown to reduce this variability and improve statistical power. In this study, CBA was evaluated for visual field localizer paradigms, and the results confirmed its utility for studying the visual system in group analyses. CBA is particularly relevant for studying neuropsychiatric disorders with increased interindividual macroanatomical variability.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Omer Faruk Gulban, Saskia Bollmann, Laurentius (Renzo) Huber, Konrad Wagstyl, Rainer Goebel, Benedikt A. Poser, Kendrick Kay, Dimo Ivanov
Summary: This study provides a dataset of measured T 2* values in the living human brain using 7 Tesla MRI at a mesoscopic scale. The dataset includes visualizations that reveal fine-scale cortical substructures and demonstrates consistent T * 2 values across subjects. This dataset is important for anatomical investigations of the human brain and improving our understanding of the T 2*-weighted (f)MRI signal.
Article
Neurosciences
Alessandra Pizzuti, Laurentius (Renzo) Huber, Omer Faruk Gulban, Amaia Benitez-Andonegui, Judith Peters, Rainer Goebel
Summary: Researchers have used ultra-high field functional magnetic resonance imaging (fMRI) to investigate the microscopic features of direction-selective neurons in the motion sensitive area of the human brain. They have found that blood volume-sensitive fMRI can be used to detect the columnar organization of this brain area at a larger scale. This study provides new insights and possibilities for understanding the mesoscopic functional organization of the human brain.
Review
Neurosciences
Ke Jia, Rainer Goebel, Zoe Kourtzi
Summary: Functional magnetic resonance imaging (fMRI) has limitations in temporal and spatial resolution. Recent advances in ultra-high field (UHF) fMRI provide a submillimeter resolution tool to study laminar and columnar circuits and map small subcortical areas. UHF fMRI offers unprecedented spatial resolution and improves our understanding of the brain's organization and visual cognition.
ANNUAL REVIEW OF VISION SCIENCE
(2023)
Article
Neurosciences
Cynthia Van de Wauw, Lars Riecke, Rainer Goebel, Amanda Kaas, Bettina Sorger
Summary: In brain-based communication, modulated brain signals are used to interact with the outside world, providing an alternative option for paralyzed patients. Most communication brain-computer interface (BCI) paradigms require intact visual capabilities and impose a high cognitive load, but a better-suited, less demanding approach may use auditorily-cued selective somatosensory attention to tactile stimulation.
Article
Neurosciences
Sebastian Dresbach, Laurentius (Renzo) Huber, Omer Faruk Gulban, Rainer Goebel
Summary: Layers and columns are the dominant processing units in the human cortex, and the blood oxygenation dependent (BOLD) signal is biased towards unwanted signals from large veins. This study shows that the vascular space occupancy (VASO) contrast can enhance the interpretability of layer-fMRI results by capturing complementary information of locally specific changes in cerebral blood volume (CBV) without the unwanted sensitivity amplifications of large veins. The study also develops a VASO acquisition procedure with short acquisition time and high spatial resolution, demonstrating the ability to capture layer-specific hemodynamic responses with high spatio-temporal resolution.
Article
Behavioral Sciences
Ruben Andreas Bressler, Sophie Raible, Michael Luehrs, Ralph Tier, Rainer Goebel, David E. Linden
Summary: The study focused on training Dutch police recruits in the Special Forces using real-time fMRI neurofeedback to regulate their emotions in high-stress situations. The training resulted in successful downregulation of brain activity, but no significant differences were found between the neurofeedback group and the control group in behavioral tasks.
Review
Radiology, Nuclear Medicine & Medical Imaging
Dimo Ivanov, Federico De Martino, Elia Formisano, Francisco J. Fritz, Rainer Goebel, Laurentius Huber, Sriranga Kashyap, Valentin G. Kemper, Denizhan Kurban, Alard Roebroeck, Shubharthi Sengupta, Bettina Sorger, Desmond H. Y. Tse, Kamil Uludag, Christopher J. Wiggins, Benedikt A. Poser
Summary: This article reviews the 9.4 T work done in Maastricht, including functional and anatomical imaging experiments. By utilizing specific techniques and optimized coils, the researchers were able to obtain high-quality imaging results and highlight the technical challenges and practical issues associated with ultra-high field MRI.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Steve Bates, Serge O. Dumoulin, Paul J. M. Folkers, Elia Formisano, Rainer Goebel, Aidin Haghnejad, Rick C. Helmich, Dennis Klomp, Anja G. van der Kolk, Yi Li, Aart Nederveen, David G. Norris, Natalia Petridou, Stefan Roell, Tom W. J. Scheenen, Menno M. Schoonheim, Ingmar Voogt, Andrew Webb
Summary: We propose a vision for a 14 Tesla MR system, which includes a novel whole-body magnet design using high temperature superconductor, a console and associated electronic equipment, an optimized radiofrequency coil setup for proton measurement in the brain, and a high-performance gradient set. This system has significant applications in neuroscience and medical research, allowing for fine-grained observation of neural activity and structural abnormalities.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Rainer Goebel, Rick van Hoof, Salil Bhat, Michael Luhrs, Mario Senden
Summary: This study presents a proof-of-concept research using a 7 Tesla fMRI to decode imagined letter shapes in the first letter speller BCI. New tools were developed to enable real-time retinotopic mapping for encoding and decoding. The results showed that the classification performance of generated activity patterns during imagery reached 80% accuracy in each individual using two different letter shapes.
10TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI2022)
(2022)