Results 131 to 140 of about 5,670,665 (286)
Multi-Target Joint Detection; Tracking and Classification Based on Marginal GLMB Filter and Belief Function Theory. [PDF]
Sensors (Basel), 2020 Liang J, Li M, Jing Z, Pan H.
europepmc +1 more source
Molecular Oncology, EarlyView.We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Practical Uses of Belief Functions
CoRR, 2013 Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999)
openaire +3 more sources
Does belief aim (only) at the truth?
, 2012 It is common to hear talk of the aim of belief and to find philosophers appealing to that aim for numerous explanatory purposes. What belief’s aim explains depends, of course, on what that aim is.
Whiting, Daniel
core +1 more source
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Molecular Oncology, EarlyView.Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
THE INTERPRETATION AND APPLICATION OF BELIEF FUNCTIONS
Applied Artificial Intelligence, 1993 Abstract As is well known, the Dempster-Shafer mathematical theory of evidence, which employs the use of belief functions, has been used to perform uncertain inference in expert systems and artificial intelligence. As is also well known, many fault this discipline for two reasons: (1) Dempster-Shafer theory is not probability theory, and there exist ...
openaire +2 more sources
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Belief Expansion, Contextual Fit and the Reliability of Information Sources [PDF]
, 2005 We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability of our information source.
Bovens, Luc, Hartmann, Stephan
core
Molecular Oncology, EarlyView.Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source