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Internet of Things (IoT) allows the linking of disparate devices via wireless and mobile communication technology. The accuracy and integrity of data often determine IoT service quality. An acquired data, however, will be abnormal due to the harsh surroundings or device flaws. As a result, an efficient means of identifying anomalies is critical for ensuring excellent service. This article discusses Parallel Residual Stacked Bidirectional Long Short-Term Memory Network optimized with Chameleon Swarm Optimization Algorithm for Time-Series Sensor Data (PRSBi LSTM-CSOA-AD-TSSD) is proposed for anomaly identification for Time Sequence Sensor Data. Initially, the time sequence sensor data are acquired from the Yahoo Webs cope S5 dataset. Then the data are preprocessed using Sparsity Aware Robust Normalized Subb and Adaptive Filtering technique. Then the pre-processed data are given to the proposed PRSBiLSTM Network to detect the anomalous Time-Series Sensor Data. This PRSBiLSTM Network classifies the preprocessed Time-Series Sensor Data into normal and anomaly. Then the PRSBiLSTM Network is optimized using the Chameleon Swarm Optimization Algorithm (CSOA) which precisely classifies the anomalistic of the Time-Series Sensor Data. The proposed algorithm is implemented in Python and performance metrics, such as F1-score, precision, sensitivity, specificity, Error rate, accuracy, ROC, and computational time are analyzed to identify the performance of the proposed PRSBiLSTM-CSOA-AD-TSSD approach. The proposed approach provides 22.41%, 25.51%, and 21.65% higher accuracy, 24.56%, 23.36%, and 25.98% lower error rate, 22.59%, 22.29%, and 25.67% lower computational time analyzed with existing methods, such as LSTM-AD-TSSD, Unsupervised TCN-AE-based TCN-ADTSSD, and CNN-AD-TSSD. [ABSTRACT FROM AUTHOR]

Skin disease is the major health problem around the world. The diagnosis of skin disease remains a challenge to dermatologist profession particularly in the detection, evaluation, and management. Health data are very large and complex due to this processing of data using traditional data processing techniques is very difficult. In this paper, to ease the complexity while processing the inputs, we use multilayered perceptron with backpropagation neural networks (MLP-BPNN). The image is collected from the devices that contain nanotechnology sensors, which is the state-of-art in the proposed model. The nanotechnology sensors sense the skin for its chemical, physical, and biological conditions with better detection specificity, sensitivity, and multiplexing ability to acquire the image for optimal classification. The MLP-BPNN technique is used to envisage the future result of disease type effectively. By using the above MLP-BPNN technique, it is easy to predict the skin diseases such as melanoma, nevus, psoriasis, and seborrheic keratosis. [ABSTRACT FROM AUTHOR]

AimsCognitive factors (eg, academic achievement) have had a significant role in selecting postgraduate surgical trainees in the past. This project sought to determine the role of a national undergraduate ophthalmology prize examination (Duke-Elder examination) in the selection of postgraduate ophthalmology trainees. This would also serve as a quality assurance exercise for the assessment, in which the ultimate aim is to encourage trainees into ophthalmology.MethodsA retrospective analysis of the top 20 ranked candidates in the Duke-Elder examination from 1989 to 2005 (except 1995) was carried out to determine which of them subsequently entered the ophthalmic training and General Medical Council Specialist Registers.ResultsOut of the top 20 candidates in the exam, 29.5% went into specialist training in ophthalmology. Some appeared in the top 20 more than once, with 56% of them going into ophthalmic training, but they had a similar median time to enter training as those who appeared in the top 20 once. There was no significant evidence to suggest that the overall median ranking scores between the UK medical schools differed (P=0.23; Kruskal-Wallis test). However, there was a marked difference in frequency of top 20 candidates from each medical school, which could not be explained by the size of the medical school alone.ConclusionIt is difficult to conclude from these findings the importance that the Duke-Elder examination has in the selection of trainees into ophthalmology. The role of cognitive factors in selection into postgraduate medical/surgical training is discussed, along with the potential academic criteria, which may influence interview scores. [ABSTRACT FROM AUTHOR]

PURPOSE:To compare the incidence and severity of all grades of dysphotopsia in three types of acrylic intraocular lenses: the Acrysof MA30 BA and MA60 BM IOLs (Alcon) and the Akreos Fit one-piece IOL (Bausch and Lomb). METHODS:In all 111 patients were prospectively recruited who had undergone uncomplicated cataract surgery in the previous 12 months. Patients were assessed using a combination of a questionnaire and standardised provocation test, and were scored on a grading scale of 0-6 (0 indicating no glare and 6 indicating the most severe symptoms). RESULTS:The overall incidence of dysphotopsia was 77.7%. Patients with absent or mild symptoms (scoring 2 or less on the grading scale) were greater in the group implanted with the Akreos IOLs (49/65 eyes, 75%) as opposed to (44/92 eyes, 48%) of the eyes implanted with Acrysof lenses. Patients with more marked symptoms of glare as judged by scores of 5-6 were uncommon, but more prevalent in the Acrysof lenses (12/92 eyes, 13%) compared to the Akreos lenses (3/65 eyes, 4.6%) respectively. Statistically the Mann-Whitney test showed that there was significantly less dysphotopsia with the Akreos lens when compared to the Acrysof MA30 (P=0.005) and MA60 lenses (P=0.002). CONCLUSION:This study demonstrates that dysphotopsia symptoms are commonly seen in certain brands of Acrylic IOLs. However, differences in design (not only related to the edge) significantly reduce the incidence of moderate and severe grades of dysphotopic symptoms.Eye (2005) 19, 567-570. doi:10.1038/sj.eye.6701568 Published online 24 September 2004 [ABSTRACT FROM AUTHOR]

PURPOSE:To determine the prevalence and clinical characteristics of external ocular infections caused by methicillin-resistant Staphylococcus aureus (MRSA) in an ophthalmic hospital in the UK. METHODS:A retrospective analysis of the case notes of patients who had culture proven external ocular Staphylococcal infections during a 44-month period was undertaken. RESULTS:There were a total of 548 external eye infections caused by Staphylococcus aureus. Of these, 17 (3%) were MRSA positive. The most common presentation was conjunctivitis seen in six patients. All MRSA isolates were sensitive to chloramphenicol. Ofloxacin resistance was observed in all isolates from patients over the age of 50 years. All patients had an underlying history of either an ocular surface disease, malignancy, or a debilitating medical illness. CONCLUSIONS:MRSA is as yet an infrequent cause of external ocular infections. Patients typically have underlying ocular risk factors and/or are medically debilitated. Different strains infect young and old age groups with characteristic antimicrobial sensitivity. This study highlights the need for more work to establish the role of MRSA commensals and ocular infections.Eye (2005) 19, 284-291. doi:10.1038/sj.eye.6701465 Published online 17 September 2004 [ABSTRACT FROM AUTHOR]

Eye (2002) 16, 800–802. doi:10.1038/sj.eye.6700212 [ABSTRACT FROM AUTHOR]

There are exceptionally extreme prerequisites anticipated from materials that are to be utilized as a part of aero plane engines. These materials ought to survive extreme working conditions with high operating temperature and pressure. Turbine section is the one where the impact of advancements in materials and material procedures can be best prized. The basic mechanical properties anticipated from all materials must be temperature dependent. Fabricating super alloys to meet the higher working temperature and requirements such as higher creep strength and better resistance to corrosion or oxidation is highly cumbersome. Cubic stabilized zirconia is a promising material in Thermal Barrier Coatings (TBCs) for high temperature applications, which can be utilized to climb the surface temperatures upto 1200°C. Our present work is focused on preparation of 8 mol% yttria-stabilized zirconia with 10 mol% ceria (10Ce-8YSZ) incorporated with Thoria. A wet chemical route powder synthesis method was applied to make homogeneous Yttria and Ceria-Stabilized Zirconia (YCSZ) ceramics from its core and Thoria was synthesized from its Nitrate independently and blended with YCSZ to upgrade its properties for high temperature coating application. The crystalline structure and morphological properties of the YCSZ nano particles were studied by using Scanning Electron Microscopy (SEM), Energy-Dispersive X-ray emission Spectrometry (EDXS), X-ray Diffraction (XRD) and UV diffuse reflectance spectrum. [ABSTRACT FROM AUTHOR]