Purpose: The purpose of the study is to determine the microbiological aetiology, epidemiological factors, and clinical profile and treatment outcomes of infective keratitis in Ophthalmology department, Minia University. EgyptMethods:Prospective, non-randomized, observational clinical series of cases, including 150 patients with mean age 30 (range 12 to 85 years), 90 patients (60 %) were males and 60 (40%) were females, clinically diagnosed as infective corneal ulcer, attending the Ophthalmology Department – Faculty of Medicine. Minia University, Minia, Egypt. From 2018 to 2020.Detailed history taking and all clinical findings were collected. Corneal scrapings were obtained from patients and subjected to staining and culture for bacterial and fungal pathogens; Bacterial and fungal growth were identified by standard laboratory procedures.Results:Corneal trauma by a vegetative matter was the commesnest risk factor associated with infective keratitis in 92 cases (61.3%). Smear and Culture was positive in 83 cases (58.4%) of 142 corneal scrapings obtained, of which 60 cases were fungal (72.3%), 21 cases were bacterial (25.3%) and 2 cases were mixed bacterial and fungal (2.4%), Aspergillus species was the commonest fungal species isolated in fungal keratitis. 142 cases (94.67 %) healed completely with scar. Only 6 cases (4%) required evisceration due to aggressive presentation from the start and keratoplasty was performed for 2 cases (1.33%).Conclusions:Fungal keratitis was the commonest type in cases attending to our department. Adequate diagnosis, management and follow up helped in achieving high successful curative outcomes. Clinical Trials.gov ID: NCT04894630. Time of registration 1 December 2018

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In this article, an adaptive sliding mode fault tolerant control (FTC) is improved in the case of uncertain nonlinear system which is affected by both multiplicative and additive faults in actuator. Especially, when the nonlinear system is modeled by Takagi–Sugeno (T-S) fuzzy system with local nonlinear model. The main contribution of this paper is developing a model of multiplicative faults, which offers a more realistic dynamic evolution of the actuator degradation. The degradation process is modeled by Wiener process and estimated by the maximum likelihood estimation (MLE). Sliding mode observer (SMO) is conceived to realize the additive actuator faults using convex multiobjective optimization. On these bases, the estimated multiplicative and additive actuator faults are used to design the adaptive sliding mode controller (SMC). Finally, the proposed fault-tolerant control scheme is demonstrated by the results of inverted pendulum system simulation.