Classification of Multi-spectral Landsat Satellite Imagery Dataset using Feature Extraction Methods

The feature extraction of multi-spectral Landsat satellite imagery Dataset is essential for vegetation monitoring, urban planning, change assessment, and other land-use applications. The spatial information provided by Remote sensing satellite imagery data is helpful for planning and decision-making policies. In the present study, classify the features of the multi-spectral Landsat satellite imagery dataset in different periods using the feature extraction method, and is produced the spatial maps of the study area. The study is to analyze the appropriate method of feature extraction for classifying the orchards, vegetation, rangeland, agricultural land, wetland, water body, and urban land using multi-temporal satellite dataset. In this study, use the three feature extraction methods are support vector machine (SVM), minimum distance (MD), and Maximum likelihood classifier (MLC) for supervised pixel-based classification using medium resolution (30 m) satellite dataset. The accuracy of feature extraction method is performed by the MLC (86.29% and 93% in the year 2003 and 2017) and SVM (86.37% and 90% in the year 2003 and 2017). The result of the presented study shows MLC and SVM classifier performs similar results but better than MD classifier for land-use/cover features classification. The classified spatial maps provide the essential spatial information for land-use changes occurred during the last 15 years (2003 to 2017).</jats:p

To Go or Stay: The Development, Benefit, and Detriment of Tissue-Resident Memory CD8 T Cells during Central Nervous System Viral Infections

CD8 T cells coordinate immune defenses against viral infections of the central nervous system (CNS). Virus-specific CD8 T cells infiltrate the CNS and differentiate into brain-resident memory CD8 T cells (CD8 bTRM). CD8 bTRM are characterized by a lack of recirculation and expression of phenotypes and transcriptomes distinct from other CD8 T cell memory subsets. CD8 bTRM have been shown to provide durable, autonomous protection against viral reinfection and the resurgence of latent viral infections. CD8 T cells have also been implicated in the development of neural damage following viral infection, which demonstrates that the infiltration of CD8 T cells into the brain can also be pathogenic. In this review, we will explore the residency and maintenance requirements for CD8 bTRM and discuss their roles in controlling viral infections of the brain.</jats:p

COMPARATIVE EVALUATION OF IATROGENIC DAMAGE IN CLASS II CAVITIES USING MAGNIFICATION TOOLS DURING TOOTH PREPARATION: AN IN VITRO STUDY

Aims: This is an vitro study compares and evaluates the effect of magnification tools on frequency and extent of iatrogenic damage to approximal tooth surface during conservative Class II cavity preparations. Methods and Material: 30 Typodont teeth were divided into 3 groups 10 typodont teeth in each group and were mounted on Phantom head. Teeth were prepared for class II (MO) cavity on 36 with conservative design using airotor with naked eye, loupes and microscope and iatrogenic damage was assessed on tooth no 35. Assessment of iatrogenic damage of all the groups was done by profilometer test. Statistical analysis used:Statistical analysis was done using one-way analysis of variance (ANOVA). Post-hoc pair-wise comparisons were done using Dunnetts test. Results: Results revealed that tooth preparation was better under microscopes and loupes with statistical significant difference for samples with loupes and microscope on comparison with naked eye. Study also expressed the difficulty faced during tooth preparation with microscope and loupes for the first time. Conclusions: Magnifying tools helps in better vision and less iatrogenic damage while preparing the tooth for restoration.</jats:p