Removal of chromium (VI) from polluted waters using powders of leaves or their ashes of some herbal plants

An investigation is made to explore the surface sorption abilities of powders of leaves and their ashes of some herbal plants.  Achyranthes aspera, Mentha, Emblica officinalis, Azadirachta indica,, Hybiscus roja sinensis and Ocimum sanctum  have been found to have strong affinity towards Chromate at low pH values. Physicochemical parameters such as pH, time of equilibration and sorbent concentration have been optimized for the maximum % removal of Chromium (VI) from waste waters. The minimum dosage and equilibration time needed for the maximum removal of Chromate is found to be less for the ashes of leaves than with the raw leaves powders. More than 90% of extractability for Chromium (VI) has been achieved with some of these bio-sorbents. The presence of tenfold excesses of Cations : Ca2+, Mg2+, Cu2+, Zn2+ and Ni2 +, marginally effected the % removal of Chromium (VI) while anions: Sulphates, Nitrate, Cl- , Phosphate and F- showed some interference with some sorbents. The adoptability of the methodologies developed in this work are tested with respect to diverse  waste water samples collected from industrial effluents and in natural lakes and found to be remarkably successful

Histogenesis of human foetal cerebellar cortex

The objective of present study is to describe the prenatal histogenesis of human cerebellar cortex. The aim of this study is to demonstrate the various histological features of human foetal cerebellum in spontaneously aborted fetuses of different gestational ages for analyzing the cerebellar histology. Histogenesis of cerebellum is observed from 13 weeks to 36 weeks of gestational age by dividing the specimens into six gestational age groups (group A to group F). External granular layer is observed at 13 weeks of gestation and purkinje cell layer is arranged at 17 weeks as a multilayered and single layer at 36 weeks of gestation. The knowledge of cerebellar anatomy has a tremendous neurosurgical importance. Future investigations might involve evaluation of the cerebellum at other gestational ages.Keywords: Cerebellum, Histogenesis, Purkinje cel

Clinical Evaluation of Oxidative Stress in Women with Breast Cancer

Breast cancers are potentially life-threatening malignancies in women. Development of cancer produces oxidative stress, which increases with disease progression. Hence, studies on antioxidants may be the most promising area of research for this clinical menace. We analysed serum Uric acid (UA) and Bilirubin (BR) in women with breast cancer. The changes in the levels of serum uric acid and bilirubin are measured in breast cancer patients to assess the oxidative stress. A significant increase in the levels of uric acid and an insignificant increase in the levels of bilirubin was observed in all the three categories of breast cancer patients compared to normal individuals. The results suggested that high ROS production supports the oxidative stress in breast cancer. So, the treatment with antioxidants in the initial stages of the disease may be useful as secondary therapy

Identification of genomic regions linked to seed dormancy related traits using bulk segregant analysis in rice (Oryza sativa L.)

A total of 119 F6:7 RILs of a cross between BPT 2231 (non- seed dormant parent) and MTU 1001 (seed dormant parent) were analyzed to identify the markers associated with seed dormancy. Parental polymorphism survey with 188 SSR markers revealed 10 polymorphic markers between the parents. The bulk segregant analysis results with 10 polymorphic markers revealed that four markers showed polymorphism between the bulks. The association of putative markers viz., RM346, RM22565, RM7051 and RM10793 identified based on DNA pooling from selected segregants was analyzed by Single Marker Anaysis (SMA). The results of SMA revealed that RM22565 on chromosome 8 showed significant association with germination per cent at five days after harvesting indicating that the chromosomal region linked to the marker RM 22565 on chromosome 8 may be associated with seed dormancy. Out of the four polymorphic markers used in the present study, RM346 was notified as a seed dormancy linked marker from previous studies. The other three markers viz., RM22565, RM7051 and RM10793 identified as seed dormancy linked markers in the present study, needs further validation on alternative set of population or a set of germplasm lines for their further utilization in the marker assisted breeding programme. Based on germination percentage, physiological parameters and genotyping studies, the RILs viz., SD 3, SD 12, SD 15 and SD 68 were identified as donors for the future breeding programme for the development of seed dormant varieties

Analysis of Land Cover Type Using Landsat-8 Data

Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceClassification of images attributes to categorizing of images into various predefined groups. A particular image can be grouped into several diverse classes. Examining and ordering the images manually is a tiresome job particularly when they are abundant and therefore, automating the entire process using image processing and computer vision would be very efficient and useful. In this study, the Classifier and Regression trees (CART) algorithm is used to create a classifier model that classifies a region based on the feature specified. The Google Earth Engine (GEE) platform is utilized to conduct the study. The Tier 1 USGS Landsat 8 surface reflectance dataset is employed and is sorted according to the cloud cover. The features are then extracted and are merged to obtain a feature collection. This input imagery is further sampled using particular bands from the Landsat imagery to get a renewed feature collection of training data and the classifier model is trained using the CART Algorithm. An accuracy assessment is further performed to determine the exactness of the proposed model and the results are plotted using a confusion matrix. By applying the CART algorithm for image classification, an accuracy of 83% is achieved which was found to be better than the existing results

Impact of the habit of alcohol consumption on the success of the implants: A retrospective study

Introduction: A recent study has demonstrated that social factors have an impact on the condition of dental implants. The present investigation investigated how varied alcohol intake quantities might alter the condition of dental implants and related peri-implant inflammation. Materials and Methods: This retrospective research was piloted in a tertiary care center, and implants inserted between 2010 and 2022 were evaluated through a retrospective cohort analysis. Within 3 months following implant implantation, information on alcohol intake was gathered from the health maintenance records and employed as the predictor variable. The implant results as well as peri-implantitis were examined at follow-up visits. Using the logistic regression model, the Wald test analysis analyzed the statistical consequences of each parameter. The findings were translated using an odds ratio that was determined with a 95% confidence level. The data were generated and analyzed using descriptive statistics, with statistical significance defined as P < 0.05. Results: At the time of implant placement, the enrolled patients were 59 ± 11.3 years old on average. The median time before peri-implantitis occurred was 31.3 ± 22.2 months. Within the first 2 years following implant implantation, the majority of people experienced peri-implantitis. The incidence of peri-implantitis was the lowest among light and moderate alcoholics (11.5%) and the highest among heavy alcoholics (46.2%). Moderate alcohol use was associated with a 79.1% decrease in peri-implantitis when compared to not drinking (P = 0.0365), whereas light alcohol consumption was connected to a 51.3% decrease (P = 0.026). The incidence of peri-implantitis among heavy drinkers was significantly significant (P = 0.0001). Conclusion: According to the findings of the current retrospective cohort analysis, drinking alcohol at mild-to-moderate levels is connected to a reduction in the incidence rate of peri-implantitis compared to heavy drinkers. In contrast, high alcohol consumption was found to be associated with an increase in the prevalence of peri-implantitis among the participants who had dental implants