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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725651 | PMC |
| http://dx.doi.org/10.1016/j.eclinm.2020.100674 | DOI Listing |
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Research on truck-drone collaborative route planning for rural logistics delivery services.
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Department of Production Engineering, KTH Royal Institute of Technology, 11428, Stockholm, Sweden.
This study investigates the implementation of collaborative route planning between trucks and drones within rural logistics to improve distribution efficiency and service quality. The paper commences with an analysis of the unique characteristics and challenges inherent in rural logistics, emphasizing the limitations of traditional methods while highlighting the advantages of integrating truck and drone technologies. It proceeds to review the current state of development for these two technologies and presents case studies that illustrate their application in rural logistics.
View Article and Find Full Text PDFReal-time monitoring by interferometric light microscopy of phage suspensions for personalised phage therapy.
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Pharmacy Department, Hospices Civils de Lyon, Hôpital E. Herriot, Plateforme FRIPHARM, 69437, Lyon, France.
Phage therapy uses viruses (phages) against antibiotic resistance. Tailoring treatments to specific patient strains requires stocks of various highly concentrated purified phages. It, therefore, faces challenges: titration duration and specificity to a phage/bacteria couple; purification affecting stability; and highly concentrated suspensions tending to aggregate.
View Article and Find Full Text PDFOptimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.
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Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Kyiv, Ukraine.
The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.
View Article and Find Full Text PDFDeep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness.
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BAOBAB Unit, NeuroSpin center, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clustering dFC matrices from resting-state fMRI, we previously described "brain patterns" that underlie different functional configurations of the brain at rest.
View Article and Find Full Text PDFObservation of non-Hermitian boundary induced hybrid skin-topological effect excited by synthetic complex frequencies.
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Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China.
The hybrid skin-topological effect (HSTE) has recently been proposed as a mechanism where topological edge states collapse into corner states under the influence of the non-Hermitian skin effect (NHSE). However, directly observing this effect is challenging due to the complex frequencies of eigenmodes. In this study, we experimentally observe HSTE corner states using synthetic complex frequency excitations in a transmission line network.
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