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Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification.
Sci Rep
December 2024
Department of Computer Science, Birzeit University, P.O. Box 14, Birzeit, West Bank, Palestine.
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. However, their performance is highly dependent on optimal hyperparameter settings, whose fine-tuning is both labor-intensive and time-consuming.
View Article and Find Full Text PDFFactors affecting fatigue progression in multiple sclerosis patients.
Sci Rep
December 2024
Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Riad El-Solh, PO Box 11-0236, 1107 2020, Beirut, Lebanon.
Fatigue is one of the most prevalent and disabling symptoms among patients with MS, but there is limited research investigating the longitudinal determinants of fatigue progression. This study aims to identify the sociodemographic, behavioral and clinical characteristics, and therapeutic regimens that are correlated with worsening fatigue over time in patients diagnosed with MS. This is a retrospective chart review of 483 patients.
View Article and Find Full Text PDFToward mechanistic understanding of wettability alteration in carbonate rocks in the presence of nanoparticles, gelatin biopolymer, and core-shell nanocomposite of FeO@gelatin.
Sci Rep
December 2024
Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Because a significant portion of oil remains in carbonate reservoirs, efficient techniques are essential to increase oil recovery from carbonate reservoirs. Wettability alteration is crucial for enhanced oil recovery (EOR) from oil-wet reservoirs. This study investigates the impact of different substances on the wettability of dolomite and calcite rocks.
View Article and Find Full Text PDFEnvironment-Organism Feedbacks Drive Changes in Ecological Interactions.
Ecol Lett
January 2025
Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Ecological interactions are foundational to our understanding of community composition and function. While interactions are known to change depending on the environmental context, it has generally been assumed that external environmental factors are responsible for driving these dependencies. Here, we derive a theoretical framework which instead focuses on how intrinsic environmental changes caused by the organisms themselves alter interaction values.
View Article and Find Full Text PDFSocial context modulates active avoidance: Contributions of the anterior cingulate cortex in male and female rats.
Neurobiol Stress
January 2025
Department of Psychological Sciences, Kansas State University, Manhattan, KS, 66506, USA.
Actively avoiding danger is necessary for survival. Most research on active avoidance has focused on the behavioral and neurobiological processes when individuals learn to avoid alone, within a solitary context. Therefore, little is known about how social context affects active avoidance.
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