Results 111 to 120 of about 8,734,078 (281)
Nonlinear Autoregressive Models and Long Memory [PDF]
This note shows that regime switching nonlinear autoregressive models widely used in the time series literature can exhibit arbitrary degrees of long memory via appropriate definition of the model regimes.Long memory ...
George Kapetanios
core
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Gambar dan Kata: Efektivitas Dual Coding dalam Meningkatkan Long- Term Memory
This study aims to examine the effect of the dual coding method on students' long-term memory. A true experimental approach with a between-participant design was employed in this research. The participants consisted of 32 students aged between 13 and 14 years, randomly assigned to two experimental groups (16 students in each group).
Resekiani Mas Bakar +3 more
openaire +1 more source
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
Near-Surface Temperature Prediction Based on Dual-Attention-BiLSTM
Current temperature prediction methods often focus on time-series information while neglecting the contributions of different meteorological factors and the context of varying time steps.
Wentao Xie +3 more
doaj +1 more source
Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben +6 more
wiley +1 more source
Long memory in German energy price indices [PDF]
This study examines the long-memory properties of German energy price indices (specifically, import and export prices, as well as producer and consumer prices) for hard coal, lignite, mineral oil and natural gas adopting a fractional integration ...
Barros, CP, Caporale, GM, Gil-Alana, LA
core +2 more sources
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang +14 more
wiley +1 more source
Financial time series in turbulent markets exhibit complex long-memory dynamics and multifractal features that traditional deep learning models fail to capture due to inherent exponential forgetting mechanisms. To address this, we propose Frac-Attn-GL, a
Yangxin Wang, Yuxuan Zhang
doaj +1 more source

