Psychological studies have demonstrated sex differences in performance and tactics for route learning. Route information can be encoded in different ways, such as the survey perspective (as in maps) and the route perspective (as we experience the world). Here we show, using functional magnetic resonance imaging, that men and women use the same brain areas to learn routes from both perspectives, and that the observed sex differences in route learning are not due to differences in the parts of the brain being used. We also show that many of the same brain areas are used in route learning from both perspectives, such as the parahippocampus, precuneus, posterior cingulate gyrus and middle frontal gyrus. However, paired comparisons of route learning from both perspectives shows that the survey perspective activates the superior and middle temporal gyri and the angular gyrus, which are not activated in the route perspective.
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Sensors (Basel)
January 2025
School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. UAVs equipped with object detection systems are increasingly used in fields like smart transportation, disaster warning, and emergency rescue. However, due to factors such as the environment, lighting, altitude, and angle, UAV images face challenges like small object sizes, high object density, and significant background interference, making object detection tasks difficult.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Faculty of Engineering and Applied Science, Memorial University of Newfoundland (MUN), St. John's, NL A1B 3X5, Canada.
The retreat of Arctic sea ice has opened new maritime routes, offering faster shipping opportunities; however, these routes present significant navigational challenges due to the harsh ice conditions. To address these challenges, this paper proposes a deep learning-based Arctic ice risk management architecture with multiple modules, including ice classification, risk assessment, ice floe tracking, and ice load calculations. A comprehensive dataset of 15,000 ice images was created using public sources and contributions from the Canadian Coast Guard, and it was used to support the development and evaluation of the system.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, P.O. Box 9086, Addis Ababa, Ethiopia.
Background: Africa's involvement in clinical trials remains very low. Although the crucial role of training initiatives in building clinical trial capacity in Africa has been documented, current efforts fall short as they lack alignment with local contexts. This study aimed to design, develop, implement, and evaluate an innovative clinical trial operations training program for Africa.
View Article and Find Full Text PDFNano Converg
January 2025
School of Chemical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Electrochemical water splitting, which encompasses the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER), offers a promising route for sustainable hydrogen production. The development of efficient and cost-effective electrocatalysts is crucial for advancing this technology, especially given the reliance on expensive transition metals, such as Pt and Ir, in traditional catalysts. This review highlights recent advances in the design and optimization of electrocatalysts, focusing on density functional theory (DFT) as a key tool for understanding and improving catalytic performance in the HER and OER.
View Article and Find Full Text PDFSci Rep
January 2025
Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, 11586, Riyadh, Saudi Arabia.
The Internet of Vehicles (IoV) transforms the automobile industry through connected vehicles with communication infrastructure that improves traffic control, safety and information, and entertainment services. However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle's sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment.
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