Results 61 to 70 of about 12,987,723 (342)
Cumhuriyet Science JournalThe research delved into analysing the stochastic characteristics of Nigeria's Real GDP, the exchange rate of the Naira to US Dollar, and the inflation rate employing Autoregressive fractionally integrated moving average (ARFIMA) and the Autoregressive ...
Ayoade Adewole
doaj +1 more source
Van der Waals engineering of ferroelectric heterostructures for long-retention memory
Nature Communications, 2021 The limited memory retention for a ferroelectric field-effect transistor has prevented the commercialization of its nonvolatile memory potential using the commercially available ferroelectrics.
Xiaowei Wang +12 more
semanticscholar +1 more source
Function‐driven design of a surrogate interleukin‐2 receptor ligand
FEBS Letters, EarlyView.Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang +9 more
wiley +1 more source
Structural Changes in Persistence of Mortality
RisksRecent researchers have observed that long-memory is prevalent in mortality data. Related to a quantifiable measure of persistence, it is an important characteristic of mortality dynamics.
Wanying Fu +2 more
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Neural Network Approach in Forecasting Realized Variance Using High-Frequency Data
Business Systems Research, 2018 Background: Since high-frequency data have become available, an unbiased volatility estimator, i.e. realized variance (RV) can be computed. Commonly used models for RV forecasting suffer from strong persistence with a high sensitivity to the returns ...
Arnerić Josip +2 more
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Subordinate Shares Pricing under Fractional-Jump Heston Model [PDF]
تحقیقات مالی, 2019 Objective: In this paper, while introducing Heston's model of stochastic variance, regarding the jump process and the long-term memory feature of prices, a new model for pricing subordinate shares is presented.
Omid Jenabi, Nazar Dahmardeh Ghaleno
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, 2015 We describe a new class of learning models called memory networks. Memory networks reason with inference components combined with a long-term memory component; they learn how to use these jointly. The long-term memory can be read and written to, with the
Bordes, Antoine +2 more
core
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Simplicial Persistence of Financial Markets: Filtering, Generative Processes and Structural Risk
Entropy, 2022 We introduce simplicial persistence, a measure of time evolution of motifs in networks obtained from correlation filtering. We observe long memory in the evolution of structures, with a two power law decay regimes in the number of persistent simplicial ...
Jeremy Turiel +2 more
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Long-lived driven solid-state quantum memory
, 2012 We investigate the performance of inhomogeneously broadened spin ensembles as quantum memories under continuous dynamical decoupling. The role of the continuous driving field is two-fold: first, it decouples individual spins from magnetic noise; second ...
Alex Retzker +6 more
core +1 more source