A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing.

Neurobiological systems continually interact with the surrounding environment to refine their behaviour toward the best possible reward. Achieving such learning by experience is one of the main challenges of artificial intelligence, but currently it is hindered by the lack of hardware capable of plastic adaptation. Here, we propose a bio-inspired recurrent neural network, mastered by a digital system on chip with resistive-switching synaptic arrays of memory devices, which exploits homeostatic Hebbian learning for improved efficiency.

A high throughput generative vector autoregression model for stochastic synapses.

By imitating the synaptic connectivity and plasticity of the brain, emerging electronic nanodevices offer new opportunities as the building blocks of neuromorphic systems. One challenge for large-scale simulations of computational architectures based on emerging devices is to accurately capture device response, hysteresis, noise, and the covariance structure in the temporal domain as well as between the different device parameters. We address this challenge with a high throughput generative model for synaptic arrays that is based on a recently available type of electrical measurement data for resistive memory cells.

Design of a relative value unit-based tool for the measurement and reimbursement of pharmacy services for clinical trials.

Objective: To develop a relative value unit RVU)-based tool for the measurement and reimbursement of pharmacy services for clinical trials.

Methods: A portfolio of activities was agreed by consensus in four tertiary hospitals. Related activities were pooled into several categories or intermediate products.

Implementation of a pharmaceutical care programme for patients receiving new molecular-targeted agents in a clinical trial unit.

A pharmaceutical care programme was implemented at our hospital in early 2013. The main objectives were to analyse and describe the pharmaceutical interventions made, to calculate adherence, interventions and to evaluate patient satisfaction with the care programme. We performed a single-centre descriptive and prospective intervention in cancer patients who received oral chemotherapy as part of a clinical trial in 2013.

Lipid and apolipoproteins (ApoAI, ApoB, Apo CIII, ApoE) disturbance in hemodialysis (HD) and renal transplant (Tx) patients.

The aim of the study was to evaluate the serum lipid and apolipoprotein profiles among patients after renal transplantation (Tx) and to compare them with the profiles obtained for permanently hemodialysed patients (HD). The investigations were performed at 15 Tx, 40 HD patients and the control group of 40 healthy subjects. There were significantly increased TG, ApoAIII, ApoE, TC/ HDL-C, ApoCIII non B, ApoCIII:B and decreased HDL-C, ApoAI, HDL-C/ApoAI, ApoAI/ApoCIII, ApoB/ApoCIII ratios comparing HD patients to the control group.