Results 111 to 120 of about 9,716,149 (241)

Locality constrained low-rank sparse learning for object tracking

open access: yes, 2015
In this paper, we present a locality constrained low rank sparse learning algorithm for object tracking under the particle filter framework. Locality should be as important as the sparsity.
Fan BJ(范保杰)   +3 more
core   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

open access: yesFEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise   +5 more
wiley   +1 more source

Knit-FLUX: Simulation of Knitted Fabric Images Based on Low-Rank Adaptation of Diffusion Models

open access: yesApplied Sciences
Generative model-assisted design has become a trend, providing a new paradigm for knitted fabric image generation. The FLUX diffusion model was chosen to generate images in this study and was compared to other generative models.
Xiaochen Liu   +4 more
doaj   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

open access: yesFEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos   +9 more
wiley   +1 more source

The ubiquitin system in normal and infected germinal center B cells

open access: yesFEBS Letters, EarlyView.
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis   +2 more
wiley   +1 more source

SimLoRA for enhanced domain specific LLM fine tuning using attention weighted low rank adaptation and RLHF

open access: yesDiscover Computing
The digital transformation of public services has created an urgent demand for intelligent question-answering (QA) systems that can deliver both accurate and context-aware responses. While Low-Rank Adaptation (LoRA) enables efficient fine-tuning of large
Wujian Yang   +5 more
doaj   +1 more source

Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques

open access: yesIEEE Open Journal of the Computer Society
The focus of Artificial Intelligence (AI) has progressed from exploring whether Large Language Models (LLMs) can transform domain-specific tasks to understanding how to optimise their impact.
Chaithanya Vamshi Sai   +5 more
doaj   +1 more source

Climate change adaptation in the boardroom [PDF]

open access: yes, 2013
Climate adaptation is recognised by many of the world’s largest businesses as a global risk and one that requires critical attention. The World Economic Forum’s 2013 Global Risks Perception Survey, identified the ‘failure of climate change adaptation and
Mark Baker-Jones   +2 more
core  

Metastatic niche shaped by host factors influences disseminated cancer cell fate

open access: yesFEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward   +2 more
wiley   +1 more source

Performance and Computational Cost of Full and Parameter-Efficient Fine Tuning for Arabic Sentiment Classification Across Training Set Sizes

open access: yesComputation
Pre-trained language models are typically adapted to downstream tasks via full fine tuning. However, this entails substantial computational and memory overhead.
Teif Aldaajani   +3 more
doaj   +1 more source

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