Results 71 to 80 of about 2,403,325 (304)

UCTLFANet: a low-rank fine-tuning model for microalgae image segmentation

Scientific Reports
The fine-tuning module optimizes the model’s parameter structure while conserving computing resources. We introduce UCTLFANet, a low-rank fine-tuning model, for microalgae image segmentation. This model supports morphological analysis, cell counting, and
Ziyue Liu, Yuan Cheng, Dan Liu, Meiyi Jiang, Wenhao Yue, Shuo Yan, Fengyu Tian, Liming Cao, Daoming Jia, Yanbo Jiang, Hai Bi   +10 more
doaj   +1 more source

A Resource-Efficient Approach to Fine-Tuning a BERT-Base Model for Sentiment Analysis

Computers
Fine-tuning a BERT-Base model for specific tasks, such as sentiment analysis, has become resource-intensive and often requires high computational power and memory.
Abdullah M. Basahel, Shreyanth H. Giriyappa, Furqan Alam, Tahani Saleh Mohammed Alnazzawi, Saqib Qamar, Adnan Ahmed Abi Sen   +5 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

SAM-FGF: SAM fine grained fine-tuning for ophthalmic image segmentation

Journal of King Saud University: Computer and Information Sciences
With increasing reliance on multi-structural analysis in ophthalmic diagnosis and treatment, accurate segmentation of ocular structures and lesions is essential for effective clinical decision-making. Multi-modal imaging, such as color fundus photography
Yuancong Liang, Weihua Yang, Junan Huo, Yueqin Diao, Shiqi Zhou, Yanwu Xu, Huihui Fang, Wei Chi   +7 more
doaj   +1 more source

Neural specialization of print processing in second language learning: A longitudinal ERP study of Chinese children learning English

Developmental Cognitive Neuroscience
The N1 component of event-related potentials (ERP) reflects print tuning and lexicality effects. Previous studies have shown that for a second learned writing system, tuning and lexical effects are associated with age and ability.
Xin Huang, Jai Dellosa Ariza, Shuting Huo, Jason Chor Ming Lo, Catherine McBride, Urs Maurer   +5 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Fine-tuning the impairment argument

Journal of Medical Ethics, 2020
Perry Hendricks’ original impairment argument for the immorality of abortion is based on the impairment principle: if impairing an organism to some degree is immoral, thenceteris paribus, impairing it to a higher degree is also immoral. Since abortion impairs a fetus to a higher degree than fetal alcohol syndrome (FAS) and giving a fetus FAS is immoral,
Bruce Philip Blackshaw, Perry Hendricks
openaire   +3 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Fine-Tuning vs. RAG: A Position Paper from the Perspective of LLM-Based Cybersecurity Modeling

Computing&AI Connect
Large Language Models (LLMs) have revolutionized natural language processing (NLP) tasks, enabling critical capabilities across domains such as business, finance, and cybersecurity analysis.
Mohammad Amaz Uddin, Iqbal H. Sarker
doaj   +1 more source