Results 151 to 160 of about 9,649,421 (248)

Association of Clonal Hematopoiesis With Incident, Late‐Onset, Seropositive Rheumatoid Arthritis

Arthritis &Rheumatology, Volume 78, Issue 10, Page 2063-2073, October 2026.
Objective Clonal hematopoiesis (CH), defined by acquired driver mutations in hematopoietic stem cells, is associated with many inflammatory diseases of aging. We investigated whether CH and its subtypes, CH of indeterminate potential (CHIP) and mosaic chromosomal alteration (mCA), are associated with incident rheumatoid arthritis (RA) and whether ...
Kun Zhao, Yash Pershad, J. Brett Heimlich, Michelle Ormseth, C. Michael Stein, Brian Sharber, Caitlyn Vlasschaert, Alexander G. Bick, Robert W. Corty   +8 more
wiley   +1 more source

Dynamic LoRA Fine-Tuning of DINOv3 for Multi-Component Pasture Biomass Estimation. [PDF]

Sensors (Basel)
Sen S, Dhankhar N, Bayat A.
europepmc   +1 more source

BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation

In recent years, Parameter-Efficient Fine-Tuning (PEFT) methods like Low-Rank Adaptation (LoRA) have significantly enhanced the adaptability of large-scale pre-trained models.
Bao, Junwei, Jiang, Hongfei, Song, Yang, Wang, Qiushi, Fan, Yuchen   +4 more
core  

A Mechanism for Analyzing the Energy Consumption and Environmental Impact of LoRa Sensors Over Time

International Journal of Communication Systems, Volume 39, Issue 15, October 2026.
An SPN‐based mechanism, validated against NS‐3 with MAPE below 0.3%, reveals how packet generation rate and spreading factor shape LoRa sensor lifetime, energy consumption, and operational CO2$$ {}_2 $$ emissions, supporting sustainable planning of large‐scale IoT deployments. ABSTRACT Long Range (LoRa) sensors are widely adopted in Internet of Things (
Vandirleya Barbosa, Melissa Alves, Iago Almeida, Iure Fé, Jean Araujo, Francisco Airton Silva   +5 more
wiley   +1 more source

GME-Init: Gamma-Moment Equalization for LoRA Initialization in Parameter-Efficient Fine-Tuning. [PDF]

Entropy (Basel)
Lin Y, Li C, Shen Z, Liu J, Zeng M.
europepmc   +1 more source

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning

Low-Rank Adaptation (LoRA) drives research to align its performance with full fine-tuning. However, significant challenges remain: (1) Simply increasing the rank size of LoRA does not effectively capture high-rank information, which leads to a ...
Tang, Chuanyu, Zhang, Zhenyu, Zhang, Wenyuan, Chen, Yilong, Shang, Junyuan, Huang, Yong, Liu, Tingwen   +6 more
core  

DataEX‐Sc: A Specialized Parsing Model for Materials Science Scatter Plots Based on Multi‐Strategy Fusion and Bidirectional Optimization

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
We present DataEX_Sc, a specialized model for parsing scatter plots, to make valuable contributions to data‐driven materials science. It improves accuracy by 0.23 (absolute F1 gain when relative error threshold = 0.02) over full‐automatic tools and boosts efficiency by 80% compared with semi‐automated tools.
Qianxue Tang, Guisen Liu, Zhuliang Li, Lei Zhang, Yao Shen   +4 more
wiley   +1 more source

Structured low-rank approximation with missing data

The approach of SIAM J. Matrix Anal. Appl., 26(4):1083--1099 for solving structured total least squares problems is generalized to weighted structured low-rank approximation with missing data. The method proposed is based on elimination of the correction
Markovsky, Ivan, Usevich, Konstantin
core   +1 more source

Automated extraction and evaluation of business process entities and relations via pre-trained models

Dianxin kexue
In the context of digital transformation, accurate modeling of power industry business processes is considered crucial for achieving intelligent operation and standardized management.
Wan Xiang, Li Shan, Liu Zesan, Zhang Bin, Tong Shuaichen, Gou Yi, Zhao Shuman   +6 more
doaj  

Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach. [PDF]

J Med Internet Res
Hao Z, Duan Y, Wang Y.
europepmc   +1 more source