A new approach to neural network via double hierarchy linguistic information: Application in robot selection

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 129, P. 107581 - 107581

Published: Dec. 12, 2023

Language: Английский

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High performance lanthanum-doped nickel cobalt ferrites on titanium carbide MXene electrode material for superior hybrid device and precision creatinine sensing

Applied Physics A, Journal Year: 2025, Volume and Issue: 131(3)

Published: Feb. 24, 2025

Language: Английский

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Evolving brain network dynamics in early childhood: Insights from modular graph metrics

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120740 - 120740

Published: July 23, 2024

Modular dynamic graph theory metrics effectively capture the patterns of information interaction during human brain development. While existing research has employed modular algorithms to examine overall impact changes in community structure throughout development, there is a notable gap understanding cross-community within different functional networks early childhood and their potential contributions efficiency transmission. This study seeks address this by tracing trajectories structural modeling transmission efficiency. We analyzed 194 imaging scans from 83 children aged 2 8 years, who participated passive viewing magnetic resonance sessions. Utilizing sliding windows algorithms, we evaluated three spatiotemporal metrics-temporal flexibility, diversity, within-community diversity-and four centrality metrics: degree centrality, eigenvector between-community centrality. Mixed-effects linear models revealed significant age-related increases temporal flexibility default mode network (DMN), executive control (ECN), salience (SN), indicating frequent adjustments these childhood. Additionally, diversity SN also displayed increases, highlighting its broad pattern interactions. Conversely, language exhibited decreases, reflecting network's gradual specialization. Furthermore, our findings indicated across DMN, ECN, SN, network, dorsal attention while increased significantly for SN. However, remained stable all These results suggest that interactions communities remains stable. Finally, mediation analysis was conducted explore relationships between age, metrics, both global local based on structure. The primarily mediated relationship age decrease efficiency, those increase suggests developmental trajectory integration segregation, with playing pivotal role transformation. provides novel insights into mechanisms which development impacts through networks.

Language: Английский

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Underwater robots and key technologies for operation control

Cyborg and Bionic Systems, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Over time, the utilization of Underwater Vehicle-Manipulator System (UVMS) has steadily increased in exploring and harnessing marine resources. However, underwater environment poses big challenges for controlling, navigating, communicating with UVMS. These have not only spurred continuous advancement related technologies, but also made development UVMS even more captivating. This article firstly provides a review status discusses current limitations future directions, then reviews detail dynamic hydrodynamic modeling methods, analyzes principles, advantages, disadvantages various approaches. Then, we try to 2 key technologies operation control including positioning navigation vehicle-manipulator coordinated Finally, reasonable prospect is given.

Language: Английский

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Proteostasis disruption and senescence in Alzheimer’s disease pathways to neurodegeneration

Brain Research, Journal Year: 2024, Volume and Issue: 1845, P. 149202 - 149202

Published: Aug. 30, 2024

Language: Английский

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Hydrogel integrating CBEO-CINcocktail (Cinnamomum pauciflorum Nees bark oil enriched with cinnamaldehyde) loaded nanosponges exhibited potent antibacterial activity against carbapenem resistant bacterial pathogens - in vitro and in vivo evaluation

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 225, P. 120503 - 120503

Published: Jan. 21, 2025

Language: Английский

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Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery

Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Intelligent predictive networks of swimming of microorganism for tangent hyperbolic fluid flow with heat and mass transfer and Thompson and Troian slip conditions using Levenberg-Marquardt algorithm

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 152, P. 110749 - 110749

Published: April 15, 2025

Language: Английский

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Batteries for small-scale robotics

MRS Bulletin, Journal Year: 2024, Volume and Issue: 49(2), P. 115 - 124

Published: Feb. 1, 2024

Abstract The advent of small-scale robots holds immense potential for revolutionizing various industries, particularly in the domains surgery and operations within confined spaces that are currently inaccessible to conventional tools. However, their tethered nature dependence on external power sources impede progress. To surmount these challenges, integration batteries into diminutive emerges as a promising solution. This article explores robots, focusing “hard” “soft” approaches. challenges integrating rigid microrobots discussed. Various battery materials suitable microfabrication explored, along with creating three-dimensional structures optimize performance limited space. emphasizes need flexible deformable technologies seamlessly integrate soft robotic systems. Challenges related flexibility, stretchability, biocompatibility addressed. concept distributed mobile energy units, where smaller assemble larger bank, is proposed scalability adaptability. Extracting from environment, inspired by fuel cells, reduces reliance traditional batteries. offers valuable insights propelling advancements autonomous versatile By overcoming current limitations, integrated will unlock full across industries. Graphical abstract

Language: Английский

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Smart healthcare systems: A new IoT-Fog based disease diagnosis framework for smart healthcare projects

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 15(10), P. 102941 - 102941

Published: July 8, 2024

A new paradigm for supporting medical services, especially beneficial metropolitan regions and individuals experiencing homelessness who use technological communications, is fog-based healthcare service management integrated with the Internet of Things (IoT). This allows flexible transformation health data into personalized, meaningful knowledge, potentially having a significant impact on practices in communities where departments are not actively engaged. Fog computing IoT crucial components today's system, facilitating vast amounts big disease prediction diagnosis. However, there risk incorrect diagnosis when patient has multiple illnesses. paper aims to develop model cardiovascular diseases diabetes using combination AI approaches. The proposed encompasses collection, preprocessing, classification, parameter setting. Wearables sensors, which part IoT, facilitate easy while artificial intelligence methods this detection. As an example intelligent systems, approach employs Smart Healthcare-Crow Search Optimization (SH-CSO) algorithm diagnose diseases. By adjusting "weight" "bias" parameters systems model, CSO enhances classification data. application significantly improves diagnostic outcomes model. efficacy SH-CSO was validated records. Results demonstrated that could maximum accuracy 97.26% heart 96.16%.

Language: Английский

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