Results 81 to 90 of about 1,259,133 (314)

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Targeted Active Learning for Bayesian Decision-Making [PDF]

Active learning is usually applied to acquire labels of informative data points in supervised learning, to maximize accuracy in a sample-efficient way.
Kaski, Samuel, Tiulpin, Aleksei, Filstroff, Louis, Sundin, Iiris, Kylmäoja, Juuso, Mikkola, Petrus   +5 more
core  

Characterizing and learning equivalence classes of causal DAGs under interventions [PDF]

, 2018
Yang, Karren D. et al. "Characterizing and learning equivalence classes of causal DAGs under interventions." Proceedings of the 35th International Conference on Machine Learning, July 2018, Stockholm, Sweden, Proceedings of Machine Learning Research ...
Uhler, Caroline, Yang, Karren Dai, Katcoff, Abigail   +2 more
core  

DPVIm: Differentially Private Variational Inference Improved [PDF]

, 2023
Differentially private (DP) release of multidimensional statistics typically considers an aggregate sensitivity, e.g. the vector norm of a high-dimensional vector.
Kaski, Samuel, Prediger, Lukas, Honkela, Antti, Jälkö, Joonas   +3 more
core  

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Practical Feature Subset Selection for Machine Learning [PDF]

, 1998
Machine learning algorithms automatically extract knowledge from machine readable information. Unfortunately, their success is usually dependant on the quality of the data that they operate on.
Lloyd A. Smith, Hall, Mark A., Mark A. Hall, Smith, Lloyd A.   +3 more
core  

Study to Determine Levels of Cadmium in Cocoa Crops Applied to Inland Areas of Peru: “The Case of the Campo Verde-Honoria Tournavista Corridor”

Agronomy, 2020
The presence of cadmium (Cd) in cocoa crops is currently a serious problem for farmers and producers in various regions of South America. Because its exports of cocoa and derivatives to European markets are threatened by possible signs of contamination ...
Jimmy Aurelio Rosales-Huamani, Jorge Luis Breña-Ore, Svitlana Sespedes-Varkarsel, Luis Huamanchumo de la Cuba, Luis Centeno-Rojas, Alonso Otiniano-Zavala, Joseps Andrade-Choque, Santiago Valverde-Espinoza, Jose Luis Castillo-Sequera   +8 more
doaj   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Accelerating crystal structure search through active learning with neural networks for rapid relaxations

npj Computational Materials
Global optimization of crystal compositions is a significant yet computationally intensive method to identify stable structures within chemical space.
Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer, Michael Gastegger, Tamio Oguchi, Tomoki Yamashita   +5 more
doaj   +1 more source

Spatially resolved rainfall streamflow modeling in central Europe [PDF]

Hydrology and Earth System Sciences
Climate change increases the risk of disastrous floods and makes intelligent freshwater management an ever more important issue for society. A central prerequisite is the ability to accurately predict the water level in rivers from a range of predictors,
M. A. Vischer, N. Otero, J. Ma
doaj   +1 more source