Results 121 to 130 of about 173,284 (257)

From tumor‐centric to ecosystem‐based hypotheses in brain tumor research and care

Molecular Oncology, EarlyView.
Primary brain tumors, whether in adults or children, present a major challenge because of their dramatic prognosis and the ongoing lack of efficient therapeutic approaches. In recent years, a shift has occurred from tumor‐centric concepts to a more holistic view of these tumors as dynamic ecosystems.
Julie Gavard, Flavie Bénard, Eva Billat, Margaux Le Guyon, Victoria Maltret, Laura Merlet, Chloé Astrid Walter, Tony Avril, Eric Chevet   +8 more
wiley   +1 more source

Income Rank and Upward Comparisons [PDF]

Many studies have argued that relative income predicts individual well-being. More recently, it has been suggested that the relative rank of an individual’s income, rather than how that income compares to a mean or reference income, is important.
Brown, Gordon D.A., Boyce, Christopher J.   +1 more
core  

KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning. [PDF]

Sci Rep
Qiu H, Ning Y, Li J, Zhu X, Gong Y, Yan L, Guan F, Zhang J, Feng F, Xu Z, Wang Q, Li P.   +11 more
europepmc   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

SBoRA: Low-Rank Adaptation with Regional Weight Updates

This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adaptation (LoRA) and Orthogonal Adaptation.
Li, Kun, Wu, Haoxuan, Liu, Yuyang, Zhang, Tianqi, Wang, Zhuohan, Jiang, Zeyu, Po, Lai-Man, Yu, Wing-Yin   +7 more
core  

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models [PDF]

Training Large Language Models (LLMs) poses significant memory challenges, making low-rank adaptation methods an attractive solution. Previously, Low-Rank Adaptation (LoRA) addressed this by adding a trainable low-rank matrix to the frozen pre-trained ...
Du, Y, Wang, J, Yu, Y, Liu, XH
core  

From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]

Sensors (Basel)
Kim J, Kang H, Chang S.
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

CROSS-MODAL FINE-TUNING OF 3D CONVOLUTIONAL FOUNDATION MODELS FOR ADHD CLASSIFICATION WITH LOW-RANK ADAPTATION. [PDF]

Proc IEEE Int Symp Biomed Imaging
Kao JP, Rho S, Lazarev S, Cho HH, Xing F, Shin T, Kuo CJ, Woo J.   +7 more
europepmc   +1 more source