Results 71 to 80 of about 25,848,277 (298)

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

Stock Prices and Economic Fluctuations: A Markov Switching Structural Vector Autoregressive Analysis [PDF]

open access: yes
The role of expectations for economic fluctuations has received considerable attention in recent business cycle analysis. We exploit Markov regime switching models to identify shocks in cointegrated structural vector autoregressions and investigate ...
Markku Lanne, Helmut Luetkepohl
core  

Vector Fall 2015

open access: yes, 2015
Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
core   +1 more source

Vector Winter 2012 [PDF]

open access: yes, 2011
Contents: Letter from the Editors -- Science Fiction or Science Face? -- More Social, More Connected -- The Audience's New Groove -- Feel the Drama -- The Future of Engineering -- Knowing Unclear -- Utopia or Not -- VectortainmentVector is the ...
University of Texas at Austin
core   +1 more source

Vector-Valued Analytic Functions Having Vector-Valued Tempered Distributions as Boundary Values

open access: yes, 2023
Vector-valued analytic functions in Cn, which are known to have vector-valued tempered distributional boundary values, are shown to be in the Hardy space Hp,1≤p<2, if the boundary value is in the vector-valued Lp,1≤p<2, functions.
Richard D. Carmichael
core   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

open access: yesMolecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou   +4 more
wiley   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

open access: yesMolecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both   +7 more
wiley   +1 more source

How effective is integrated vector management against malaria and lymphatic filariasis where the diseases are transmitted by the same vector? [PDF]

open access: yes, 2014
The opportunity to integrate vector management across multiple vector-borne diseases is particularly plausible for malaria and lymphatic filariasis (LF) control where both diseases are transmitted by the same vector.
Stone, C.   +17 more
core   +2 more sources

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

open access: yesMolecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault   +12 more
wiley   +1 more source

Vector autoregressive analysis [PDF]

open access: yes, 1999
An introduction to vector autoregressive (VAR) analysis is given with special emphasis on cointegration. The models, estimating their parameters and specifying the autoregressive order, the cointegrating rank and other restrictions are discussed. Possibilities for model validation are also considered, Causality tests, impulse responses and forecast ...
openaire   +2 more sources

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