An understanding of the aetiology of mandibular asymmetry and a thorough methodical diagnostic approach is essential for the appropriate management of patients presenting with dentofacial asymmetry. The aim of this review article is to describe the developmental, pathological, traumatic and functional causes of mandibular asymmetry, to provide a guide to diagnosis through clinical examination a...

Fehrenbach Studios in Reedsburg, Wisconsin has been our photographer for years. We had our wedding pictures taken by them, I had my portrait taken for my husband while he was in the service, and when we had our first baby, we had Fehrenbach Studios take his picture. We were happy with them up to this point — then strange things began to happen to our photographs. My portrait has turned blue and...

A 2-h exposure of JB1 rat hepatoma cells in late log phase of growth to 50 UMci.s-diamminedichloroplatinum (II) (cisplatin) resulted in the asyn chronous detachment of cells from the monolayer over 4 days. Detached but not monolayer cells exhibited condensed chromatin and DNA frag mentation, which is indicative of endonuclease activation, the hallmarks of apoptosis in epithelial cells. The numb...

Many industrial processes are operated in multiple modes due to different manufacturing strategies. Multimodality of process data is often accompanied with nonlinear and non-Gaussian characteristics, which makes data-driven monitoring more complicated. In this paper, statistics pattern analysis (SPA) introduced extract low- high-order from raw data. Support vector description (SVDD), can deal p...

Abstract With the rapid development of deep learning methods, variational auto-encoder (VAE) has been utilized for nonlinear process monitoring. However, most VAE-based methods hardly consider inner independent and related relationship each variable. To overcome this problem, a novel VAE named variable information concentrated (IRVIC-VAE) is proposed. concentrate information, loading weight mat...

Adaptation of network weights using LevenbergMarquardt (LM) training algorithm was proposed as a mechanism to improve the performance of Artificial Neural Networks (ANN) in modeling the Tennessee Eastman (TE) chemical process reactor. A Neural Network of the AutoRegressive, eXternal (NNARX) input model was developed. Four sub-models for the TE reactor were built. They are: the reactor level, th...

Due to recent increase in deployment of Cyber-Physical Industrial Control Systems different critical infrastructures, addressing cyber-security challenges these systems is vital for assuring their reliability and secure operation presence malicious cyber attacks. Towards this end, developing a testbed generate real-time data-sets infrastructure that would be utilized validation attack detection...