Academic Articles & Research Papers

A Study on the Effect of Granular Residual in the Banking Network on the Transmission of Monetary Policy through Lending Channel

Granular residual is created in the banking network when there are a few large banks with many small banks. In this case, the effect of the shocks on each bank not lost in total that can lead to macro-economic consequences. The transmission...

Relationship between green bonds and carbon neutrality: evidence from top five emitting countries’ sectoral CO2 emissions

Abstract This study analyzes the influence of green bonds on carbon neutrality. It examines the daily data of sectoral CO2 emissions of the top five CO2-emitting nations from January 2, 2019 to December 30, 2022 using wavelet transform cohe...

An Investigation of Disk Thickness in M51 from Hα, Paα, and Mid-infrared Power Spectra

Power spectra (PS) of high-resolution images of M51 (NGC 5194) taken with the Hubble Space Telescope and the James Webb Space Telescope (JWST) have been examined for evidence of disk thickness in the form of a change in slope between large ...

Radiative Processes in Astrophysics

Chapter 1 Fundamentals of Radiative Transfer 1.1 The Electromagnetic Spectrum Elementary Properties of Radiation 1.2 Radiative Flux Macroscopic Description of the Propagation of Radiation Flux from an Isotropic Source-The Inverse Square Law...

Accretion Power in Astrophysics

Control variates from Eulerian and Lagrangian perturbation theory: Application to the bispectrum

Control variates have seen recent interest as a powerful technique to reduce the variance of summary statistics measured from costly cosmological $N$-body simulations. Of particular interest are the class of control variates which are analy...

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals

Understanding the details of the correlation between time series is an essential step on the route to assessing the causal relation between systems. Traditional statistical indicators, such as the Pearson correlation coefficient and the mut...

Superposed Epoch Analyses of Geoelectric Field Disturbances in Japan in Response to Different Geomagnetic Activities

Abstract An increase in geomagnetically induced currents (GICs) is an inevitable result of geomagnetic field disturbances, and is harmful to the power grid, in particular, at high latitudes. At mid and low latitudes, the amplitude of the GI...

Healthcare Teams Neurodynamically Reorganize When Resolving Uncertainty

Research on the microscale neural dynamics of social interactions has yet to be translated into improvements in the assembly, training and evaluation of teams. This is partially due to the scale of neural involvements in team activities, sp...

Plasma Exchange for ANCA-Associated Vasculitis: An International Survey of Patient PreferencesPlain Language Summary

Rationale & Objective: We sought to elicit patient preferences regarding the use of plasma exchange in antineutrophil cytoplasmic antibody-associated vasculitis (AAV) and its tradeoffs of risk of kidney failure and risk of serious infec...

Perspective—Five Sensor-Centric Grand Challenges in Soft Robotics

Soft robotics, offering precise actions in complex environments, stands at the brink of transformative advancements across diverse fields. To realize this potential, the field must address five key challenges: creation of soft power and con...

Stochastic brain dynamics exhibits differential regional distribution and maturation-related changes

Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and sto...

Mind Children: The Future of Robot and Human Intelligence

Imagine attending a lecture at the turn of the twentieth century in which Orville Wright speculates about the future of transportation, or one in which Alexander Graham Bell envisages satellite communications and global data banks. Mind Chi...

Robotics and Control

As equipment and systems become more complex and sophisticated, the problems of operation and control by humans have become more difficult. Modern industrial processes and production techniques often require continuous vigilance of machine ...

Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface

Soft robotics inspired by the movement of living organisms, with excellent adaptability and accuracy for accomplishing tasks, are highly desirable for efficient operations and safe interactions with human. With the emerging wearable electro...

Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble

The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and hence...

Bearing Fault Analysis of BLDC Motor for Electric Scooter Application

In this paper, the bearing faults analysis of the brushless DC motor is presented. The research method is based on the analysis of the vibration signal of healthy as well as faulty bearings by the identification of specific frequencies on t...

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...

PZT Ferroelectric Synapse TFT With Multi-Level of Conductance State for Neuromorphic Applications

To fundamentally solve the bottleneck of Von Neumann’s computing architecture, a neuromorphic thin-film transistor (NTFT) employing Pb(Zr, Ti)O3 (PZT) was investigated. The indium gallium zinc oxide (IGZO) channel back gate TFT struc...

The advisor robot

Humanoid robots offer many physical design choices such as voice frequency and head dimensions. We used hierarchical statistical mediation analysis to trace differences in people's mental model of robots from these choices. In an experiment...