Results 131 to 140 of about 247,556 (284)

Fine-Tuning a Large Language Model for the Classification of Diseases Caused by Environmental Pollution

Applied Sciences
Environmental pollution poses an increasing threat to public health, particularly in urban areas with high levels of pollutant exposure. To address this challenge, this study proposes a model based on fine-tuning the LLaMA 3 large language model for the ...
Julio Fernando Hernández-Angeles, Alberto Jorge Rosales-Silva, Jean Marie Vianney-Kinani, Juan Pablo Francisco Posadas-Durán, Francisco Javier Gallegos-Funes, Erick Velázquez-Lozada, Armando Adrián Miranda-González, Dilan Uriostegui-Hernandez, Juan Manuel Estrada-Soubran   +8 more
doaj   +1 more source

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

Molecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad, Mahmood Hachim, Tom Bertin, Karolina Penderecka, Rifat Hamoudi, Saif Khan, Rui Henrique, Natalie Bergmoser, Manit Arya, Kalle Sipila, Matteo Vietri Rudan, Asif Muneer, Aamir Ahmed   +12 more
wiley   +1 more source

TACS-Net: Temporal-Aware Customer Segmentation Network

IEEE Open Journal of the Computer Society
Customer segmentation is essential for personalized marketing, customer retention, and strategic decision-making. Traditional segmentation methods, such as k-Means and Gaussian Mixture Models, rely on static features and fail to capture the evolving ...
Abu Sadat Mohammad Shaker, Md Tohidul Islam, A T M Omor Faruq, Hritika Barua, Uland Rozario, M. F. Mridha, Md. Jakir Hossen   +6 more
doaj   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

Molecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken, Maartje Witsen, Emile E. Voest, Krijn K. Dijkstra   +3 more
wiley   +1 more source

HybridATNet: Multi-Scale Attention and Hybrid Feature Refinement Network for Remote Sensing Image Super-Resolution

IEEE Access
Remote sensing image super-resolution faces significant challenges, including detail loss, sensor noise, and atmospheric interference that compromise image quality for critical applications.
Naveed Sultan, Watchara Ruangsang, Supavadee Aramvith   +2 more
doaj   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Unsupervised Deep Image Stitching for Remote Sensing: Aligning Features Across Large-Scale Geometric Distortions

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote-sensing images frequently exhibit complex and extensive geometric distortions due to the characteristics of imaging platforms and conditions.
Linwei Qiu, Chang Liu, Gongzhe Li, Xiaomeng Dong, Fengying Xie, Zhenwei Shi   +5 more
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Transformations debugging transformations

, 2017
Abstract: Practical model transformation (MT) frameworks are usually composed of multiple execution contexts, building an overall workflow by abstracting different aspects of execution. This heterogeneity brings additional challenges to debugging, which must address a combination of quite different graphical and textual formalisms.
Jukks, Maris, Verbrugge, Clark, Vangheluwe, Hans   +2 more
openaire   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source