Results 61 to 70 of about 717,652 (279)

The cooperative regulation of miR‐221 by APE1 and AUF1 impacts p27Kip1 defining a miR signature relevant for cervical cancer

open access: yesFEBS Open Bio, EarlyView.
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti   +3 more
wiley   +1 more source

Formal and computational foundations for implementing Affective Sovereignty in emotion AI systems

open access: yesDiscover Artificial Intelligence
Emotional artificial intelligence (AI)—systems that infer, simulate, or influence human feelings—create ethical risks that existing frameworks of privacy, transparency, and oversight cannot fully address.
Ryan SangBaek Kim
doaj   +1 more source

A novel echocardiographic right ventricular dysfunction score can identify hemodynamic severity profiles in left ventricular dysfunction

open access: yesCardiovascular Ultrasound, 2022
Purpose Recognition of congestion and hypoperfusion in patients with chronic left ventricular dysfunction (LVD) has therapeutic and prognostic implications.
Odd Bech-Hanssen   +7 more
doaj   +1 more source

Robust Estimation under Heavy Contamination using Enlarged Models [PDF]

open access: yes, 2013
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. In this paper, our concern is to develop a new approach for robust data analysis based on scoring rules.
Fujisawa, Hironori, Kanamori, Takafumi
core  

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Why human connection is the true metric of research success

open access: yesFEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan   +3 more
wiley   +1 more source

Words that yield: The invisible hand of financial storytelling

open access: yesBorsa Istanbul Review
This paper investigates how structured persuasive strategies, grounded in Cialdini's principles of influence, are embedded in the narrative disclosures of banks and influence financial outcomes.
Atta ul Mustafa   +2 more
doaj   +1 more source

Conditioning of Leverage Scores and Computation by QR Decomposition

open access: yes, 2015
The leverage scores of a full-column rank matrix A are the squared row norms of any orthonormal basis for range(A). We show that corresponding leverage scores of two matrices A and A + \Delta A are close in the relative sense, if they have large ...
Holodnak, John T.   +2 more
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

A blockchain-integrated, energy-efficient dual-agent reinforcement learning framework for resilient electric vehicles

open access: yesAin Shams Engineering Journal
This paper introduces an energy-efficient, Blockchain-Based, Dual-Agent, Reinforcement Learning (BDARL) model of resilient EV-grid integrative effect. All EV energy transactions and agent decisions are validated by the blockchain layer that is integrated
Jagdish R. Yadav   +5 more
doaj   +1 more source

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