Prosthetic joint infection (PJI) is a serious complication of total knee arthroplasty (TKA). Control of infection after a failed two-stage TKA is not always possible, and the resolution of infection may require an above-knee amputation (AKA) or a the-knee (KF). The purpose of this review is to determine which treatment method (AKA or KF) yields better function and ambulatory status for patients...

Interleukin (IL)-13 has been implicated in the pathogenesis of various diseases characterized by fibrosis. We describe the effects of IL-13 on collagen homeostasis from normal (NF) and keloid (KF) fibroblasts and compare these effects with those of IL-4 and transforming growth factor (TGF)-beta(1). Total collagen generation was up-regulated in NF after 48 h of stimulation by IL-13; in KF, IL-13...

The Kalman filter (KF) has been improved for a mobile robot to human tracking. The proposed algorithm combines a curve matching framework and KF to enhance prediction accuracy of target tracking. Compared to other methods using normal KF, the Curve Matched Kalman Filter (CMKF) method predicts the next movement of the human by taking into account not only his present motion characteristics, but ...

In this paper, we consider the problem of multi-centralized Cooperative Localization (CL) under severe communication constraints, i.e., when each robot can communicate only a single bit per real-valued (analog) measurement. Existing approaches, such as those based on the Sign-of-Innovation Kalman filter (SOI-KF) and its variants, require each robot to process quantized versions of both its loca...

Bus arrival time is a key service for improving public transport attractiveness by providing users with an accurate arrival time. In this research, a model of bus arrival time prediction, which aims to improve arrival time accuracy, is proposed. The arrival time will be predicted using a Kalman Filter (KF) model, by utilising information acquired from social networks. Social Networks feed road ...

We present a novel Kalman filter (KF) for spatiotemporal systems called the numerical Gaussian process (NGPKF). Numerical processes have recently been introduced as physics-informed machine-learning method simulating time-dependent partial differential equations without need spatial discretization while also providing uncertainty quantification of simulation resulting from noisy initial data. f...

Switching Kalman Filters (SKF) are well known for their ability to solve the piecewise linear dynamic system estimation problem using standard Filter (KF). Practical SKFs heuristic, approximate filters that not guaranteed have optimal performance and require more computational resources than a single mode KF. On other hand, applying mismatched KF switching (SLDS) results in erroneous estimation...

This paper addresses the influence reduction of quantization and observation noises in a disturbance observer (DOB) technique. DOB is estimation method that makes control systems robust. However, implementing low-resolution sensors, estimates from are considerably influenced by noises. In this paper, novel design for simultaneous state unknown disturbances, including noise influences, proposed....

This study investigates the digital, media and information literacy (DMIL) practices that student developed through engagement with Knowledge Forum (KF), a platform designed to facilitate knowledge building dialogues. Participants included 73 students enrolled in DMIL course University UK. The dataset comprised reflective essays submitted by students, analyzed thematically examine perceptions p...

OBJECTIVE To test the hypotheses that decreased insulin-mediated glucose disposal in muscle is associated with a reduced muscle microvascular exchange capacity (Kf) and that 6 months of high-dose statin therapy would improve microvascular function in people with central obesity. RESEARCH DESIGN AND METHODS We assessed skeletal muscle microvascular function, visceral fat mass, physical activit...