Search

This research paper presents a comprehensive assessment of the built-up area in Mysuru City over the decade spanning from 2010 to 2020, employing advanced geospatial techniques. The study aims to analyze the spatiotemporal patterns of urban expansion, land-use dynamics, and associated factors influencing the city’s built environment. Remote sensing imagery, Geographic Information System (GIS) tools, and machine learning algorithms are leveraged to process and interpret satellite data for accurate land-cover classification. The methodology involves the acquisition and preprocessing of multi-temporal satellite imagery to delineate and map the built-up areas at different time intervals. Land-use change detection techniques are employed to identify and quantify alterations in urban morphology over the specified period. Additionally, socio-economic and environmental variables are integrated into the analysis to discern the drivers of urban growth. The outcomes of this research contribute valuable insights into urbanization dynamics and land-use planning strategies, facilitating informed decision-making for sustainable urban development.

The management of tooth wear, especially attrition, is becoming a subject of increasing interest in the prosthodontic literature, both from a preventive and a restorative point of view. Dealing with patients who have worn dentition is intricate and challenging. Precise clinical and radiographic assessments, along with a diagnostic wax-up and OVD determination, are pivotal in managing this condition. A crucial element involves establishing the occlusal vertical dimension (OVD) using a systematic method, resulting in a reliable treatment outlook. In this case report attrited teeth were restored with metal-ceramic restorations and a removable partial denture was fabricated for maxillary and mandibular edentulous areas. An occlusal splint was used to protect the restorations. The treatment protocol yielded a pleasing aesthetic and functional outcome. This result can encourage clinicians to seek accurate diagnosis and treatment planning to treat such patients. Keywords Full mouth rehabilitation, Occlusal vertical dimension, Prosthetic dentistry, Prosthodontics, Tooth wear, Worn dentition

Diabetes, characterized by heightened blood sugar levels, can lead to a condition called Diabetic Retinopathy (DR), which adversely impacts the eyes due to elevated blood sugar affecting the retinal blood vessels. The most common cause of blindness in diabetics is thought to be Diabetic Retinopathy (DR), particularly in working-age individuals living in poor nations. People with type 1 or type 2 diabetes may develop this illness, and the risk rises with the length of diabetes and inadequate blood sugar management. There are limits to traditional approaches for the early identification of diabetic retinopathy (DR). In order to diagnose diabetic retinopathy, a model based on Convolutional neural network (CNN) is used in a unique way in this research. The suggested model uses a number of deep learning (DL) models, such as VGG19, Resnet50, and InceptionV3, to extract features. After concatenation, these characteristics are sent through the CNN algorithm for classification. By combining the advantages of several models, ensemble approaches can be effective tools for detecting diabetic retinopathy and increase overall performance and resilience. Classification and image recognition are just a few of the tasks that may be accomplished with ensemble approaches like combination of VGG19,Inception V3 and Resnet 50 to achieve high accuracy. The proposed model is evaluated using a publicly accessible collection of fundus images.VGG19, ResNet50, and InceptionV3 differ in their neural network architectures, feature extraction capabilities, object detection methods, and approaches to retinal delineation. VGG19 may excel in capturing fine details, ResNet50 in recognizing complex patterns, and InceptionV3 in efficiently capturing multi-scale features. Their combined use in an ensemble approach can provide a comprehensive analysis of retinal images, aiding in the delineation of retinal regions and identification of abnormalities associated with diabetic retinopathy. For instance, micro aneurysms, the earliest signs of DR, often require precise detection of subtle vascular abnormalities. VGG19′s proficiency in capturing fine details allows for the identification of these minute changes in retinal morphology. On the other hand, ResNet50′s strength lies in recognizing intricate patterns, making it effective in detecting neoneovascularization and complex haemorrhagic lesions. Meanwhile, InceptionV3′s multi-scale feature extraction enables comprehensive analysis, crucial for assessing macular oedema and ischaemic changes across different retinal layers.

Abstract The present study concentrated on estimating the thermal conductivity, stability, efficiency, and resistance of a heat pipe for heat exchangers, which were essential for many industrial applications. To achieve this, copolymer of amphiphilic poly (styrene-co-2-Acrylamido-2-methylpropane sulfonic acid) poly (STY-co-AMPS) was synthesized by free radical polymerisation technique. The dispersant were used for homogeneous solution and stabilization of ZnO nanofluids. The effect of dispersant on the thermal conductivity of nanofluids was analysed using a KD2 pro thermal property analyser. There is a significant increase in fluid conductivity had a nonlinear relationship with the volume fraction. The maximum enhancement was observed at an optimized concentration of dispersant at 1.5 vol%. Same time, the influence of dispersant agent on the thermal conductivity of nanofluids were compared with linear polyelectrolytes. Further, the experimental values were compared to the existing classical models based on the reasonable aggrement, the prepared nanofluids were employed as a working medium. The conventional screen mesh heat pipe and the temperature distribution to the thermal resistance of the heat pipe was investigated experimentally. The result shows, optimum concentration of dispersants on nanoparticles exhibits an enhanced heat efficiency as compared with the base fluids. Further, the thermal resistance and temperature distribution show decreased behaviour by increasing the particle volume fraction and dispersant concentration.

Nagai (smile) can be said to be an expression of pleasure or happiness. Every human born can say that there is no limit to our happiness when we get something that we need. When we attain happiness our mind is filled with pleasure. Our face blossoms with this pleasure. Happiness spread the petals of life and makes everyone smile. Laughter is an antidote to sadness. A good example of this is the saying that if you laugh with your mouth and for others you will get sick. If you smile wholeheartedly, anyone can come out from sickness. No matter how much suffering we face, we can overcome it with a smile. Expressions of happiness often cause us to laugh. Also, laughter appears to us without realizing it in the work of mocking others. Bharathiyar is a great Tamil poet who has humorously written the realities of life. It seems a satire on the existing patriarchal norms of society. Thus, Bharathiyar’s poems are with the taste of humour to evince the nature of humour and smile as expressions of pleasure. These elements are explored in this article.

Women are in an indispensable position in Tamil society. Woman occupies an indispensable place in this world. Without women, there would be nothing on earth. Our people worship the earth as their mother. Through Shakti worships, one can know that our society has given importance to women since many centuries ago. Indeed, many of the tamil literary texts have given importance to women. Evidence can be found in literature like “Silapathikaram” and “Manimekalai”. One can learn about the status of early women and their bravery through Sangam literature. Tamil people worship women as Gods. The condition of enslaving women who are seen as Gods has changed a lot in modern times. The condition that women should get proper education has gained a lot of acceptance among our people today. Little by little they are recovering from the effects of treating women like slaves and from dowry abuse. However, in few places, this situation is still observed today. Many radical men and women have fought for the development of women and have seen success. In this article, the researcher will see the progress of women from the poems of Bharathiar who plays an important role in the development of women.

Vizhiyan, a well-established writer in child literature has been writing continuously for the welfare of the children's community. He also gives equal importance to girl children. This is one of the most precious values added in his writings. By reading Vizhiyan’s stories the self-confidence level of the children will go to a maximum level. In this way, if a child gives his/her continuous input as evinced in the works of Vizhiyan, the child will attain tremendous changes in his life which may lead to a glorious future. Hence, the purpose of the article is to explore the fruitful results of Vizhiyan’s story among female children.

A cast post is a one-piece unit that is custom fabricated for the tooth at the dental laboratory. Traditional extracts such as neem and green tea have good antimicrobial and antioxidant activity against pathogens. The empty canal space may provide a suitable environment for promoting bacterial growth. The main aim of the study is to find the antimicrobial activity of the cast post coated with the nanoparticle. Prepared cast post was coated with prepared green tea and neem-mediated zinc oxide (ZnO) nanoparticles. Culture is done in agar media where control is noncoated post and another is nanoparticle coated post was implanted in the agar media. The zone of inhibition was noted and statistical analysis was done. The maximum zone of inhibition found on Candida albicans (19.333 2.081) followed by Enterococcus faecalis (14.000 3.605), and Streptococcus mutans (12.666 2.516). Green tea and neem-mediated ZnO nanoparticle showed good antimicrobial activity against the tester microorganism. Cast post coated with nanoparticles has been proved to be important as it is helpful in the prevention of origin and spread of infection around the canal and through the apical foramen.

The consumption of electrical energy has greatly increased lately, and the requirement of portable charge storage devices has also increased. To fulfill this, a versatile rare earth element CeO2 in nanoparticle form is selected and synthesized through a cost effective precipitation method for supercapacitor application. To improve its efficiency, 2% and 4% of transition metal chromium were doped into the ceria lattice, and their electrochemical properties were studied. The cubic fluorite structure with an average crystallite size of all the samples was 16 nm, which was confirmed through x-ray diffraction analysis. Peculiar rice shaped clusters are observed for 2% Cr doped samples through field emission scanning electron microscopy analysis. The N2 adsorption desorption studies were performed to calculate the surface area of the prepared samples. A maximum specific capacitance of 42.6 F g−1 was obtained for the 2% Cr doped CeO2 sample at 5 mV s−1 in 2M KOH in cyclic voltammetric studies. The galvanostatic charge–discharge and electrochemical impedance spectroscopy measurements were also taken to analyze the charge–discharge cycles and stability of the samples.

Introduction: Chemical peels have become a useful modality in the management of acne in addition to topical and systemic medications. Studies done to evaluate the effectiveness of peels have compared only lower concentration of Glycolic Acid (GA) (35%) and Salicylic Acid (SA) peels. Higher concentrations of glycolic acid i.e., (70%) are reported to be safe and more effective than lower concentrations. Despite reported advantages of higher concentration of glycolic acid peel, no published data is available regarding its efficacy, safety and tolerability in comparison with other peels. Aim: To compare the effectiveness of 70% GA peel with 30% SA peel in the management of mild to moderate acne. Materials and Methods: The present study was a cross-sectional retrospective study conducted from December 2021 to April 2022 in which, 60 participants were enrolled. They were diagnosed with mild to moderate acne, based on the Indian Acne Alliance (IAA) grading system and all of them underwent chemical peel treatment. Among them 30 had received 70% GA peel (group 1) and 30 had received 30% SA peel (group 2). The number of sittings and the individual lesional count at baseline and at each sitting were recorded. Acne lesional count (sum of comedones, papules, pustules, and nodules) was recorded at baseline, 2, 4, 6 and 8 weeks. Categorical variables were presented as frequency and percentages. Continuous variables were presented as Mean±Standard deviation. Results: There was a significantly greater decrease in mean acne lesional count in group 2 from the baseline of 25.73 to 13.83 at the end of 2nd weekin comparison to group 1 wherein the values reduced from 26.30 to 17.73 (p-value of 0.003). At the end of eight weeks, the mean acne lesional count of both groups (group 1- 2.17 and group 2-1.50, p-value of 0.097) were comparable. Conclusion: Higher concentration of GA (70%) has comparable effectiveness to 30% SA peel in management of mild to moderate acne. SA peel has an advantage of earlier decrease in lesional count.

Jaundice is a common neonatal condition that causes yellowing of the eyes and skin due to elevated pigment levels. Although several underlying disorders may contribute, the condition typically results from the immature liver function in newborns., Approximately 60% of babies experienced jaundice, leading to yellowing of the skin and eyes over the last five years. Due to improved screening and management procedures, the number of severe jaundice cases requiring treatment has decreased by about 20%. This condition generally resolves as the baby's liver matures and becomes more efficient at metabolizing the pigment. The "Golden Hue Detector," a non-invasive device specifically designed to detect neonatal jaundice, was developed and validated in this study. Early and accurate diagnosis of jaundice is crucial to prevent complications such as kernicterus. Traditional detection methods rely on blood tests, which can be stressful for infants and resource-intensive for healthcare providers. These methods typically require multiple blood draws, increasing the risk of infection and causing significant discomfort for newborns. [ABSTRACT FROM AUTHOR]

Rice being the hugely consumed crop worldwide is unfortunately facing a severe yield loss due to drought stress. In this view, the study was conducted at Pandit Jawaharlal Nehru College of Agriculture and Research Institue, Karaikal during late samba of 2018 using 48 rice genotypes with an objective to select discriminating rice genotypes for drought tolerance based on principal component analysis (PCA) and selection index. The field experiments were laid out in normal and drought conditions using RBD design with three replications. Traits such as days to 50 per cent flowering, plant height, productive tillers, panicle length, grains per panicle, grain weight, grain yield were observed under both the environments, additionally relative water content, leaf senescence, leaf rolling, leaf drying and stress percentage were observed under drought environment. The PCA had reduced the 12 traits into six traits viz., days to 50 per cent flowering, plant height, panicle length, grains per panicle, grain yield and stress percentage across the environments. Selection index computed with the economic weights derived from PCA had registered the genotype IET-27693 with high index score for drought tolerance.

Although research on the preparation of metal oxides and other materials for various applications increases exponentially, it is more important to understand the need for eco-friendly methods of preparation to preserve the environment. Most of the methods available today are expensive, environmentally harmful, and inefficient with respect to mass production. The present review has explored the Rheological Phase Reaction (RPR) method, which has been extensively utilized as an eco-friendly industrial method for the preparation of metal oxides and metal oxide/carbon composite for lithium ion battery applications. Based on the literature reports, this review has two motivations: to identify the Rheological Phase Reaction (RPR) as the mass production method for preparing metal oxides, metal oxide/carbon composites, and other materials for different applications, to discuss the preparation steps involved, its advantages, the drawbacks associated; and to give a detailed review of the electrochemical performance of different metal oxides by the RPR method for application on the lithium ion battery, with particular emphasis on lithium trivanadate (LiV3O8).

The image processing plays a significant role in the early detection and diagnosis of thyroid cancer. Many researchers are trying to develop and implement image-processing models for cancer detection. This article reviews and discusses the literature on image processing and thyroid cancer. The bibliometric and structured literature review methods assess the existing literature. The study indicates that the prevalence of thyroid cancer has been increasing in recent years. Numerous factors, such as raised detection through screening programs, changes in investigative criteria, and environmental and lifestyle aspects, have contributed to this trend. Furthermore, the literature finds various diagnostic and treatment methods available for patients with thyroid cancer, as well as the difficulties associated with overdiagnosis and overtreatment. Furthermore, the role of image processing techniques in the analysis and diagnosis of thyroid cancer focuses on their possible advantages and disadvantages. [ABSTRACT FROM AUTHOR]

Smart agriculture is a rapidly emerging field that leverages the power of machine learning (ML) and artificial intelligence (AI) to enhance efficiency, sustainability and productivity in the agricultural sector. ML and AI algorithms are employed to analyze vast amounts of data collected from various sources. These technologies provide valuable insights into crop growth, soil conditions, and environmental factors, enabling farmers to detect early signs of crop diseases, predict yield outcomes, and optimize fertilizer and water usage. Additionally, virtual assistants powered by ML and AI can offer personalized recommendations on crop management practices, helping farmers enhance their decision-making process and minimize risks. [ABSTRACT FROM AUTHOR]