Results 111 to 120 of about 65,328 (289)
ESCRT‐Mimetic Nanodegrader Targets STING for Anti‐Inflammatory Therapy
Advanced Science, EarlyView.A nanoplatform‐enabled targeted protein degradation strategy is presented to regulate aberrant STING signaling. STING‐ATTEC induces selective autophagic degradation of STING via formation of a STING–ATTEC–LC3 ternary complex, while the cationic FA‐LNP+ system enhances LC3 generation and targeted delivery. Together, this synergistic approach efficiently
Fuyuan Zhou +9 more
wiley +1 more source
The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models
Advanced Science, EarlyView.Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková +5 more
wiley +1 more source
OPTIMAL POLICIES FOR DISCRETE TIME RISK PROCESSES WITH A MARKOV CHAIN INVESTMENT MODEL [PDF]
We consider a discrete risk process modelled by a Markov Decision Process. The surplus could be invested in stock market assets. We adopt a realistic point of view and we let the investment return process to be statistically dependent over time.
Maikol Diasparra, Rosario Romera
core
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Probability of ruin for a dependent, two-dimensional poisson process [PDF]
A two-dimensional, dependent Poisson risk process is investigated in the paper. Claims are divided into two classes. Within each class claims have the same distribution, but claims belonging to different classes can have different distributions and the ...
Stanislaw Heilpern
core
Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
ON THE TIME VALUE OF RUIN IN THE DISCRETE TIME RISK MODEL [PDF]
Using an approach similar to that of Gerber and Shiu (1998), a recursive formula is given for the expected discounted penalty due at ruin, in the discrete time risk model. With it the joint distribution of three random variables is obtained; time to ruin,
José Garrido, Shuanming Li
core
Regulation and Ruin Theory:Controlling the Probability of Failure [PDF]
, 2007 The standard theoretical approach underlying insurance regulation originates in actuarial methods and, more specifically, in ruin theory. It’s important to outline this theory, and then to discuss its limits, because it’s the one that most insurance practitioners or regulators have in mind when thinking about insurance regulation, partly, of course ...
Plantin, Guillaume, Rochet, Jean-Charles
openaire +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Advanced Science, EarlyView.Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti +15 more
wiley +1 more source
Dependent discrete risk processes –calculation of the probability of ruin [PDF]
This paper is devoted to discrete processes of dependent risks. The random variables describing the time between claims can be dependent in such processes, unlike under the classical approach.
Stanislaw Heilpern
core