Results 111 to 120 of about 8,287,486 (375)

A bright future for financial agent-based models

open access: yes, 2018
The history of research in finance and economics has been widely impacted by the field of Agent-based Computational Economics (ACE). While at the same time being popular among natural science researchers for its proximity to the successful methods of ...
Belianin, A.   +3 more
core   +1 more source

TRPM8 levels determine tumor vulnerability to channel agonists

open access: yesMolecular Oncology, EarlyView.
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo   +18 more
wiley   +1 more source

Forecasting high-impact research topics via machine learning on evolving knowledge graphs

open access: yesMachine Learning: Science and Technology
The exponential growth in scientific publications poses a severe challenge for human researchers. It forces attention to more narrow sub-fields, which makes it challenging to discover new impactful research ideas and collaborations outside one’s own ...
Xuemei Gu, Mario Krenn
doaj   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

open access: yesMolecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton   +17 more
wiley   +1 more source

Interdisciplinarity through internationality: Results from a US–Mexico graduate course bridging computational and plant science

open access: yesPlant Direct
Interdisciplinarity is used to integrate and synthesize new research directions between scientific domains, but it is not the only means by which to generate novelty by bringing diverse perspectives together.
Daniel H. Chitwood   +2 more
doaj   +1 more source

Nmag micromagnetic simulation tool - software engineering lessons learned

open access: yes, 2016
We review design and development decisions and their impact for the open source code Nmag from a software engineering in computational science point of view. We summarise lessons learned and recommendations for future computational science projects.
Albert, Maximilian   +2 more
core   +1 more source

Cytomegalovirus infection is common in prostate cancer and antiviral therapies inhibit progression in disease models

open access: yesMolecular Oncology, EarlyView.
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon   +13 more
wiley   +1 more source

Computational reproducibility in computational social science

open access: yesEPJ Data Science
Open science practices have been widely discussed and have been implemented with varying success in different disciplines. We argue that computational-x disciplines such as computational social science, are also susceptible to the symptoms of the crises,
David Schoch   +3 more
doaj   +1 more source

Computer science is a social science.

open access: yes, 2019
Computer science can, and never will be the same again.
openaire   +2 more sources

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

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