Factors determining outcome of tactile kinesthetic stimulation in preterm neonates.

Background: Tactile kinesthetic stimulation (TKS) has been the subject of clinical research since the 1960 s, when it was proposed as a way to promote preterm growth and development.

Objective: To find out the effect of TKS on weight gain in preterm neonates and the factors affecting TKS in relation to outcome.

Methods: TKS was demonstrated to mothers in department of paediatrics.

The Future of Drug Development with Quantum Computing.

Novel medication development is a time-consuming and expensive multistage procedure. Recent technology developments have lowered timeframes, complexity, and cost dramatically. Current research projects are driven by AI and machine learning computational models.

Recurrence recovery in heterogeneous Fermi-Pasta-Ulam-Tsingou systems.

The computational investigation of Fermi, Pasta, Ulam, and Tsingou (FPUT) of arrays of nonlinearly coupled oscillators has led to a wealth of studies in nonlinear dynamics. Most studies of oscillator arrays have considered homogeneous oscillators, even though there are inherent heterogeneities between individual oscillators in real-world arrays. Well-known FPUT phenomena, such as energy recurrence, can break down in such heterogeneous systems.

High-speed nonlinear focus-induced photoresponse in amorphous silicon photodetectors for ultrasensitive 3D imaging applications.

A large and growing number of applications benefit from simple, fast and highly sensitive 3D imaging sensors. The Focus-Induced Photoresponse (FIP) can achieve 3D sensing functionalities by simply evaluating the irradiance dependent nonlinear sensor response in defect-based materials. Since this advantage is intricately associated to a slow response, the electrical bandwidth of present FIP detectors is limited to a few [Formula: see text] only.

Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs.

Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while being robust against any noisy input. The memristive device has been proposed as a promising candidate for emulating artificial synapses due to their complex multilevel and dynamical plastic behaviors. In this work, we exploit ultrastable analog BiFeO (BFO)-based memristive devices for experimentally demonstrating that BFO artificial synapses support various long-term plastic functions, i.