Volume 12 | Issue 6 |

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Azithromycin, friability, hardness, dissolution, disintegration

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ABSTRACT Skin aging is a biological process affected by a combination of endogenous or intrinsic factor s and exogenous or other factors. Since skin health and beauty is considered one of the main e lements that represent the entire understanding of people's "health" and "wellness", many anti aging strategies have been developed in the last few years. The purpose of this article is to rev iew the most important antiaging strategies available to dermatologists, including preventativ e, cosmetic strategies, cosmetic and medical procedures, and invasive procedures. Papaya is the popular name for papaya, a member of the papaya family. Papaya has long been used in Ayurvedic medicine. It has many properties, one of them is antiaging property. Scientific data show that they have a biological modification role that supports their daily use in the treatment of many diseases. According to phytochemical research, papaya pl ants mainly contain alkaloid series and pseudopapain, as well as sugars, tannins, flavonoids, c arcinogens and gamma terpenes. Antioxidant, diuretic, antibacterial, abortifacient, hypoglyce mic, antifungal, anthelmintic and immunomodulatory, hepatoprotective and anticonvulsant.

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antiaging, papaya latex, moisturizing cream, evaluation

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The steelmaking industry strives for efficient and cost-effective production while achieving desired steel qualities. This paper investigates the application of machine learning (ML) for optimizing ferroalloy usage in the steelmaking process. We explore how ML models can be leveraged to predict the required amount of ferroalloys for specific steel grades based on various process parameters and historical data. This approach offers the potential to minimize ferroalloy consumption while maintaining steel quality consistency. The paper discusses the benefits of ML-based optimization, including reduced production costs, minimized environmental impact, and improved process control. We explore potential ML algorithms suitable for this task and outline the development process for an ML-based ferroalloy optimization system. Finally, the discussion addresses the challenges and future directions for implementing ML-based optimization in steelmaking.

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Ferroalloys, Steelmaking, Machine Learning, Optimization, Process Control

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'Pneumoscan' is a web application developed to diagnose pneumonia on chest X-ray and medical parameters using the concept of deep learning algorithms. In this model pneumonia and non-pneumonia condition can be detected using CAAD model which has an anomaly detection module and confidence prediction module, which shares a feature extractor. If the anomaly score is higher than the threshold or confidence score is small than the threshold, the entered input will be treated as a pneumonia case and we will compare this with the medical parameter and give the severity level. The system is implemented using Django framework and Python.

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CAAD, Radiology, Image Acquisition, CNN Model.

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Kerala is in the advanced stage of demographic transformation and healthcare. Compared to other states in India, Kerala has made significant progress in terms of demographics. Various factors have contributed to this, including lower birth and death rates, higher age of marriage, higher literacy rate and higher health indicators. Kerala is rapidly ageing in terms of population transformation. Known as the most literate state in India, Kerala is now becoming the oldest state with a new title, 'the grey state' of India

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Elderly, Ageing, younging, Pakal Veedu, Demographic Transition, Mustering

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The catalytic C-H hydroxylation reactions of different alkane substrates are investigated employing three Fe(II) complexes containing TACN-derivatized tetradentate N4 ligands using H2O2 as a co-oxidant. The large normalized C3/C2 bond selectivity in adamantane oxidation, high degrees of stereoretention in the oxidation of cis-1,2-dimethylcyclohexane and the high kinetic isotope effect values for C-H bond activation indicates the involvement of metal-based oxidant in catalytic processes. The active oxidant is proposed to be an (L)FeV(O)(OH) species (L = Me2,MeBzImTACN, Me2,Me2PyzTACN, Me2,MeImTACN) which may exist in two tautomeric forms related by a proton shift between the oxo and hydroxo ligands. Isotope labeling experiments are in agreement with the oxygen atom in the hydroxylated products originating from both water and hydrogen peroxide, and labeling experiments involving oxygen atom transfer to sterically bulky substrates provide indirect information on the steric influence exerted by the three ligands. These studies indicate that the Me2,Me2PyzTACN, exerts a greater steric influence compared to the Me2,MeImTACN and Me2,MeBzImTACN ligands.

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C-H bond functionalization, stereospecific, nonheme, iron, selective oxidation

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The main objective of this study is to investigate the effect of RECRON fibers in BLACK COTTON soil. Civil engineers face various problems while designing the foundations on highly compressible Black Cotton soil due to poor bearing capacity and excessive settlement when it comes in affinity of water. Most of the soil especially Black Cotton soil available in our surroundings is such that it has good compressive strength, adequate shear strength but is weak in tension or has poor tensile strength. To overcome the same, many researchers have concentrated their studies on soil improvement techniques by developing new such materials or a combination of such materials. In this study of Black Cotton soil along with Recron fibres is used. The Recron fibres of different aspect length (6mm, 12mm and 18mm) is mixed properly with soil mixture in varying percentages (0.50%, 0.75% and 1.0%) by dry weight of Black Cotton Soil. The main objective is to study the index and engineering properties like California Bearing Ration (CBR), Shear strength parameter (c & ?), Atterberg's limits at all above mentioned percentages. The test results would indicate improved geotechnical properties of Black Cotton Soil. The optimized results are obtained on using 0.75% of 6 mm length Recron fibre as its use improved geotechnical properties like shrinkage limit by 1.88 times when compared with normal Black Cotton soil. California bearing ratio increased 2.67 times, Liquid limit decreased by 0.94 times, cohesion value increased by 4 times, moreover free swell index decreased by 0.42 times when compared with the normal Black Cotton soil in which no Recron fibre was used.

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Recron fibre, Black Cotton Soil, CBR

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The increasing occurrence of abnormal phenomena in financial markets has challenged the assumptions of traditional finance, leading to the emergence of behavioural finance. This field, developed in the 1970s and 1980s, focuses on investor behaviour and explains market anomalies through the lens of sociology, incorporating psychology and behaviour into financial analysis (Baker & Wurgler, 2006). This shift in perspective has spurred extensive research into investor behaviour and sentiment. Several studies have focused on measuring and quantifying investor sentiment. Composite sentiment indexes, such as that developed by Baker and Wurgler (2007), utilize principal component analysis (PCA) to combine multiple sentiment indicators into a single index, capturing the collective sentiment of investors. In this paper, PCA is employed to construct an investor sentiment composite index using Indian stock market data, providing a nuanced understanding of investor sentiment in India. Secondly, the dynamic relationship between Investor Sentiment and Market Return is tested using multivariate time-series regression model. The model does succeed in reflecting the explanatory power of Investor Sentiment in predicting stock market return. Recognizing this phenomenon empowers investors to gain deeper insights into the market, enabling them to navigate their investment decisions more effectively. Moreover, this understanding opens avenues for additional research into refining methods of measuring investor sentiment, ultimately enhancing its utility in guiding investor behavior.

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Investor sentiment, behavioural finance, market return, principal component, regression

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Introduction: Overhead throwing motion is the highly skilled technique used by the player which can cause postural disabilities over the time. These disabilities may include forward head posture and rounded shoulder posture due to overuse of scapular muscles. This posture in turn can lead to cardio-respiratory alterations in players involved in overhead activities and the prevalence of it has been discussed in this study. Aim: To find prevalence of cardio-respiratory alterations in players involved in overhead activities having forward head posture in Sangli district. Objective: To assess VO2 max, PEFR and chest mobility in players involved in overhead activities having forward head posture by using various tests, devices and methods. Study Design: Observational study. Materials and Methods : 218 collegiate players both males and females playing player involved in overhead activities are included in this study after taking their consent and evaluating them according to the inclusion criteria. Forward head posture is assessed using KINOVEA software. For VO2 max, we used Queens college step test, for PEFR, Peak flow meter has been used and for chest mobility, we used tape method of measuring chest expansion. Results: The prevalence of cardiorespiratory alterations in players involved in overhead activities having forward head posture is 43%. Conclusion: The results concluded that there is a significant association of forward head posture and cardio-respiratory alterations in players involved in overhead activities caused as a result of it.

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Cardio-respiratory alterations, forward head posture, sports involving overhead activities, VO2 max, PEFR, chest expansion.

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 Abstract

aatmsaksharta

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aatmsaksharta

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