• We synthesize ADHD neuroimaging findings on the reward system with in obesity, depression, and substance use disorder. analyze from monetary incentive delay (MID) discounting (DD) tasks, striatal connectivity volumetry. discuss these features ADHD, depression disorder ask whether heterogeneity comorbidity are reflected by a common dysregulation system. highlight conceptual issues related to h...

In large open pit mines prediction of Peak Particle Velocity (PPV) provides useful information for safe blasting. At Sungun Copper Mine (SCM), some unstable rock slopes facing to valuable industrial facilities are both expose to high intensity daily blasting vibrations, threatening their safty. So, controlling PPV by developing accurate predictors is essential. Hence, this study proposes improv...

When dealing with seizure detection/prediction problems, there are three main performance metrics that must be optimized: false positive rate, false negative rate, detection delay or, if the problem is seizure prediction, it is desirable to obtain the greatest prediction time achievable. Tuning specific extracted features to individual patients can lead to improved results. The processing windo...

Real-time hybrid simulation represents a powerful technique capable of evaluating the structural dynamic performance by combining the physical simulation of a complex and rate-dependent portion of a structure with the numerical simulation of the remaining portion of the same structure. Initially, this paper shows how the stability of real-time hybrid simulation with time delay depends both on c...

introduction :  despite  recent  advances  in  treatment  of  oral  cancer,  it  still causes high rates of mortality and morbidity worldwide. delays in diagnosis and treatment of these cancers greatly affect the prognosis.  this study aimed to assess the treatment delay and its relation to diagnostic delay among oral cancer patients in tehran, iran. materials and methods : we studied 100 patie...

There are many parameters which are very difficult to calibrate in the threshold autoregressive prediction model for nonlinear time series. The threshold value, autoregressive coefficients, and the delay time are key parameters in the threshold autoregressive prediction model. To improve prediction precision and reduce the uncertainties in the determination of the above parameters, a new DNA de...

We address the problem of delay-constrained streaming ofmultimedia packets over dynamic bandwidth channels. Efficient streaming solutions generally rely on the knowledge of the channel bandwidth, in order to select the media packets to be transmitted, according to their sending time. However, the streaming server usually cannot have a perfect knowledge of the channel bandwidth, and important pa...

Motor dynamics in antagonistic variable stiffness actuator (AVSA) is generally disregarded control system design. This ignorance can lead to an inaccurate model, affecting the performance of closed-loop system. The motor be modeled as input-delay model. In this paper, input time-delay for AVSA first time. a nonlinear function states; thus, tracking challenging task. Specifically, many existing ...

The growing speed gap between transistors and wire interconnects is forcing the development of distributed, or clustered, architectures. These designs partition the chip into small regions with fast intra-cluster communication. Longer latency is required to communicate between clusters. The hardware and/or software is responsible for scheduling instructions to clusters such that critical path c...

OBJECTIVE A brain-machine interface (BMI) records neural signals in real time from a subject's brain, interprets them as motor commands, and reroutes them to a device such as a robotic arm, so as to restore lost motor function. Our objective here is to improve BMI performance by minimizing the deleterious effects of delay in the BMI control loop. We mitigate the effects of delay by decoding the...