Results 111 to 120 of about 337,942 (263)

Mapping quantitative trait loci underlying body weight changes that act at different times during high‐fat diet challenge in collaborative cross mice

Animal Models and Experimental Medicine, EarlyView.
Over one billion people worldwide suffer from obesity, and the number is continually rising. Animal models, especially mouse models, are crucial to identifying the genetic components of complex disorders and exploring the potential applications of these genetic findings.
Hanifa J. Abu‐Toamih Atamni, Iqbal M. Lone, Ilona Binenbaum, Kareem Midlej, Eleftherios Pilalis, Richard Mott, Aristotelis Chatziioannou, Fuad A. Iraqi   +7 more
wiley   +1 more source

Diversified Adaptive Stock Selection Using Continual Graph Learning and Ensemble Approach

IEEE Access
Stock selection is essential for portfolio diversification to reduce risks and maximize profits. However, stock selection is challenging owing to the non-stationary nature of stock markets.
Jae-Seung Kim, Sang-Ho Kim, Ki-Hoon Lee
doaj   +1 more source

Research progress on biomarkers of traumatic brain injury

Animal Models and Experimental Medicine, EarlyView.
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen, Si Cheng, Shuyi Chen, Mengyue Wang, Tangying Li, Weicheng Xu, Yifan Zhang, Ping Yuan, Lei Shi   +8 more
wiley   +1 more source

Continual Semi-Supervised Malware Detection

Machine Learning and Knowledge Extraction
Detecting malware has become extremely important with the increasing exposure of computational systems and mobile devices to online services. However, the rapidly evolving nature of malicious software makes this task particularly challenging. Despite the
Matthew Chin, Roberto Corizzo
doaj   +1 more source

Deep Generative Replay-Based Personalization With Conditional Latent Attention for Diffusion Models

IEEE Access
Recent research on text-to-image diffusion models has involved personalization methods to learn novel concepts from a few user-provided images for target image generation.
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama   +4 more
doaj   +1 more source

T. rex cognition was T. rex‐like—A critical outlook on diverging views of the neurocognitive evolution in dinosaurs

The Anatomical Record, EarlyView.
Abstract A recent debate has emerged between Caspar et al. (2024) and Herculano‐Houzel (2023) on inferring extinct dinosaur cognition by estimating brain neuron counts. While thought‐provoking, the discussion largely overlooks the function of cognition, as well as partly neglects the difficulties involved in estimating neuron numbers, which according ...
Thomas Rejsenhus Jensen, Ivo Jacobs, Kristina Kverková, Lona Lalić, Alexandra Polonyiová, Patrik Stehlík, Stephan A. Reber, Mathias Osvath   +7 more
wiley   +1 more source

CALM: Continual Associative Learning Model via Sparse Distributed Memory

Technologies
Sparse Distributed Memory (SDM) provides a biologically inspired mechanism for associative and online learning. Transformer architectures, despite exceptional inference performance, remain static and vulnerable to catastrophic forgetting.
Andrey Nechesov, Janne Ruponen
doaj   +1 more source

‘SOMS BrainSpace’: A digital serious game for undergraduate neuroscience

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is challenging for many undergraduates, requiring strong visuospatial skills and a deep understanding of complex concepts. This study developed and evaluated SOMS BrainSpace, a digital serious game for neuroanatomy education, using a mixed methods approach.
Anthony Tran, Jin Y. Huang, Craig R. Campbell, Elizabeth M. Hegedus   +3 more
wiley   +1 more source

Medical Jargon: A game‐based anatomy and physiology review for high school students in a summer pathway program

Anatomical Sciences Education, EarlyView.
Abstract Active learning strategies, particularly game‐based learning (GBL), have been shown to enhance student engagement and knowledge acquisition across various educational contexts. This study investigates the impact of a GBL activity, “Medical Jargon,” for high school students learning anatomy and physiology while participating in the 2024 Summer ...
Andrew Bloh, Juan Riesta, Adedayo Adepoju, Maria Soto‐Greene, Jeremy J. Grachan   +4 more
wiley   +1 more source

Parabolic Continual Learning

Regularizing continual learning techniques is important for anticipating algorithmic behavior under new realizations of data. We introduce a new approach to continual learning by imposing the properties of a parabolic partial differential equation (PDE) to regularize the expected behavior of the loss over time. This class of parabolic PDEs has a number
Yang, Haoming, Hasan, Ali, Tarokh, Vahid
openaire   +2 more sources