In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtai...
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
PURPOSE: Cancer control outcomes following robot-assisted radical prostatectomy (RARP) for prostate cancer (PCa) remain inadequately addressed over intermediate-term (≥5-year) follow-up. We examined biochemical recurrence-free survival (BCRFS), clini...
Atypical neural architecture causes impairment in communication capabilities and reduces the ability of representing the referential statements of other people in children with autism. During a scenery of "speaker-listener" communication, we have ana...
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Feb 12, 2016
BACKGROUND: An automated instrument tracking procedure was designed and developed for autonomous control of a cameraman robot during laparoscopic surgery.
Cyborg intelligence is an emerging kind of intelligence paradigm. It aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via neural interfaces, enhancing strength by combining the biolog...
Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
Feb 4, 2016
Chronic nonhealing wounds have a prevalence of 2% in the United States, and cost an estimated $50 billion annually. Accurate stratification of wounds for risk of slow healing may help guide treatment and referral decisions. We have applied modern mac...
Neural networks : the official journal of the International Neural Network Society
Feb 2, 2016
This paper is concerned with the state estimation problem for a class of artificial neural networks (ANNs) without the assumptions of monotonicity or differentiability of the activation functions. The measured outputs are corrupted by stochastic nois...
Computational and mathematical methods in medicine
Feb 2, 2016
BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for pre...
BACKGROUND: A few studies have compared robotic-assisted laparoscopic pyeloplasty (RALP) with open pyeloplasty (OP) in children, but no previous study includes a long-term follow-up of renal function and hydronephrosis in combination with a thorough ...
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