Results 111 to 120 of about 18,915,989 (297)

Time Varying Market Integration and Expected Rteurns in Emerging Markets [PDF]

open access: yes
We use a simple model in which the expected returns in emerging markets depend on their systematic risk as measured by their beta relative to the world portfolio as well as on the level of integration in that market.The level of integration is a time ...
Roon, F.A. de, Jong, F.C.J.M. de
core  

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular 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 VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

open access: yesMolecular 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

Expected optimal feedback with Time-Varying Parameters [PDF]

open access: yes
In this paper we derive, by using dynamic programming, the closed loop form of the Expected Optimal Feedback rule with time varying parameter. As such this paper extends the work of Kendrick (1981, 2002, Chapter 6) for the time varying parameter case ...
Hans M. Amman   +2 more
core  

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

open access: yesMolecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen   +19 more
wiley   +1 more source

Evaluating the Dynamic Nature of Market Risk [PDF]

open access: yes
This study examines the systematic risk present in major crops for the United States and three corn-belt states. An index of commodities is used in conjunction with cash receipts to generate dynamic estimates of the systematic risk for each crop and ...
Hubbs, Todd   +2 more
core  

Multiuser MIMO Receiver Processing for Time-Varying Channels

open access: yes, 2011
Wireless broadband communications for mobile users at vehicular speed is the cornerstone of future fourth-generation systems. This chapter deals with joint iterative channel estimation and multiuser detection for the uplink of a multicarrier (MC) code ...
Thomas Zemen   +5 more
core   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

open access: yesMolecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico   +5 more
wiley   +1 more source

Identifying yield stability over time via time-varying GARCH processes and multivariate Horseshoe priors

open access: yes, 2023
Little is known about how grassland yield stability changes over time, where yield stability reflects the variance in yield, with higher-yielding grassland typically being less stable.
Maclaren, C., Hassall, K. L., Addy, J.
core  

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