Results 111 to 120 of about 34,016,939 (394)

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

Construction of a Novel Ferroptosis-Related Gene Signature for Predicting Survival of Patients With Lung Adenocarcinoma

open access: yesFrontiers in Oncology, 2022
Lung adenocarcinoma (LUAD) is the most diagnosed subtype of lung cancer; ferroptosis is widely involved in the pathological cell death associated with various cancers, including lung cancer. However, the comprehensive relationship between ferroptosis and
Xiaojie Song   +4 more
doaj   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

A Quantified Risk-Scoring System for the Recurrence of Meningiomas: Results From a Retrospective Study of 392 Patients

open access: yesFrontiers in Oncology, 2020
Aim: This study aimed to identify the independent risk factors of recurrence in patients undergoing primary resection of meningioma and construct a scoring system for the prediction of the risk of postoperative recurrence.Materials and Methods: The ...
Zhangzhang Zhu   +10 more
doaj   +1 more source

Robot Risk-Awareness by Formal Risk Reasoning and Planning [PDF]

open access: yesarXiv, 2019
This paper proposes a formal robot motion risk reasoning framework and develops a risk-aware path planner that minimizes the proposed risk. While robots locomoting in unstructured or confined environments face a variety of risk, existing risk only focuses on collision with obstacles. Such risk is currently only addressed in ad hoc manners.
arxiv  

Social context prevents heat hormetic effects against mutagens during fish development

open access: yesFEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere   +5 more
wiley   +1 more source

Spot‐14 and its paralog Spot‐14R regulate expression of metabolic and thermogenic pathway genes in murine brown and beige adipocytes

open access: yesFEBS Letters, EarlyView.
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez   +3 more
wiley   +1 more source

Quantification of Risk in Classical Models of Finance [PDF]

open access: yesarXiv, 2020
This paper enhances the pricing of derivatives as well as optimal control problems to a level comprising risk. We employ nested risk measures to quantify risk, investigate the limiting behavior of nested risk measures within the classical models in finance and characterize existence of the risk-averse limit.
arxiv  

Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures [PDF]

open access: yesarXiv, 2023
We study finite episodic Markov decision processes incorporating dynamic risk measures to capture risk sensitivity. To this end, we present two model-based algorithms applied to \emph{Lipschitz} dynamic risk measures, a wide range of risk measures that subsumes spectral risk measure, optimized certainty equivalent, distortion risk measures among others.
arxiv  

Optimal Dividend Payout Model with Risk Sensitive Preferences

open access: yes, 2017
We consider a discrete-time dividend payout problem with risk sensitive shareholders. It is assumed that they are equipped with a risk aversion coefficient and construct their discounted payoff with the help of the exponential premium principle.
Bäuerle, Nicole, Jaśkiewicz, Anna
core   +1 more source

Home - About - Disclaimer - Privacy