Background: Identifying the predictors of pain is important for both health professionals and researchers, because pain has repeatedly been found to be a strong predictor of activity limitations and participation restrictions. The objective of this study was to determine the predictors of pain presence and severity in a large, well-designed sample of community dwelling individuals with multip...

In networked control systems, time delay and data dropout can degrade the performance of the control system and even destabilize the system. In the present paper, the Extended Kalman filter is employed to compensate the effects of time delay and data dropout in feedforward and feedback paths of networked control systems. In the proposed method, the extended Kalman filter is used as an observer ...

The hybrid skewed predictor 2bcgskew (Figure 1) was proposed in [4]. The Alpha EV8 branch predictor [3] was derived from this proposal. The original hybrid predictor 2bcgskew combines an e-gskew predictor [2] and a bimodal predictor. 2bcgskew consists of four 2-bit counters banks. Bank BIM is the bimodal predictor, but is also part of the e-gskew predictor. Banks G0 and G1 are two gshare-like p...

The TAGE predictor, TAgged GEometric length predictor, was introduced in [10]. TAGE relies on several predictor tables indexed through independent functions of the global branch/path history and the branch address. The TAGE predictor uses (partially) tagged components as the PPM-like predictor [5]. It relies on (partial) match as the prediction computation function. TAGE also uses GEometric his...

Increasing rates of student drop-outs with increase in popularity of Massive Open Online Courses (MOOCs) makes predicting student attrition an important problem to solve. Recently, we developed an algorithm based on artificial neural network for predicting student attrition in MOOCs using student sentiments. In this paper, we present a web-based tool based on our algorithm which can be used by ...

Warren Buffett famously stated two rules for investing: Rule #1. Never lose money, and Rule #2. Never forget Rule #1. Recent Peer Lending opportunities provide the individual investor to earn an interest rate significantly higher than that of a savings account. However, a default on the loan by the borrower means the investor will lose her entire principal. In this paper, we will use Machine Le...

BACKGROUND The choledocolithiasis has an incidence of 8-20% in patients with cholecystolithiasis. The preoperative diagnosis guides the interventional treatment on the bile duct AIM To evaluate the sensitivity and specificity of the laboratory markers and imaging studies for choledocholithiasis preoperatively. METHODS The study comprised 254 patients divided into two groups: the control gro...

Wide issue processors with many pipeline stages require e cient branch prediction for high throughput. In this paper, we propose an Embedded, Architecturally Simple and E cient (EASE) branch predictor, which performs well for programs having a small number (100) and a large number (16,000) of instructions. EASE uses a combination of a G-share predictor and a one-level predictor. In EASE, one-le...

Prior research in neurally-inspired perceptron predictors have shown significant improvements in branch prediction accuracy by exploiting correlations in long branch histories. However, systems with moderate hardware budgets typically restrict such perceptron predictors from correlating beyond 64 to 128 past branches and limit their capability to learn distant branch correlations, such as on th...

Abtract: Time-delays (dead times) are found in many processes in industry. Time-delays are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or accumulation. The contribution is focused on a design of algorithms for adaptive digital control for processes with time-delay. The algorithm is based on pole assignment approach....