Wound healing and anti-oxidant activities of the fruit pulp of limonia acidissima linn (rutaceae) in rats

Purpose: The fruits of Limonia acidissima Linn are used traditionally in India for the treatment of tumours, asthma, wounds, cardiac debility and hepatitis. The purpose of the present study was to evaluate the wound healing activity of the methanol extract of its fruit pulp (MELA) in incision, excision and dead-space wound models. Methods: Albino rats of either sex were divided into four groups, viz, wounded control, wounded rats administered standard drug, nitrofurazone (2 %), and wounded rats administered MELA 200 and 400 mg/kg, respectively. In incision wound model, wound breaking strength and epithelization period were evaluated, while in excision wound model, wound contraction was studied. In dead-space wound model, granulation tissue dry weight, hydroxyproline levels in dry granulation tissue, as well as superoxide dismutase (SOD) and catalase levels in wet granulation tissue were estimated. Granulation tissue was subjected to histopathological examination in order to determine whether there was healing by formation of collagen in the wound tissue in extract-treated animals.Results: Increased wound breaking strength, decreased epithelization period, increased wound contraction, increased granulation tissue weight and hydroxyproline concentration were observed in the various groups, compared with the control group. Also, increased activity of anti-oxidant enzymes, i.e., higher SOD and catalase levels, were seen in extract-treated groups when compared to controls. Wound healing activity was statistically significant (p < 0.001) in animals treated with 400 mg/kg of the extract. Conclusion: The methanol extract of L. acidissima possesses significant dose-dependant wound healing and anti-oxidant activities; this supports traditional claims for the plant as a wound healer.Keywords: Limonia acidissima, Wound healing, Antioxidant enzymes, Wound models, Hydroxyproline

Machine Learning Techniques, Detection and Prediction of Glaucoma– A Systematic Review

Globally, glaucoma is the most common factor in both permanent blindness and impairment. However, the majority of patients are unaware they have the condition, and clinical practise continues to face difficulties in detecting glaucoma progression using current technology. An expert ophthalmologist examines the retinal portion of the eye to see how the glaucoma is progressing. This method is quite time-consuming, and doing it manually takes more time. Therefore, using deep learning and machine learning techniques, this problem can be resolved by automatically diagnosing glaucoma. This systematic review involved a comprehensive analysis of various automated glaucoma prediction and detection techniques. More than 100 articles on Machine learning (ML) techniques with understandable graph and tabular column are reviewed considering summery, method, objective, performance, advantages and disadvantages. In the ML techniques such as support vector machine (SVM), and K-means. Fuzzy c-means clustering algorithm are widely used in glaucoma detection and prediction. Through the systematic review, the most accurate technique to detect and predict glaucoma can be determined which can be utilized for future betterment

Advanced IMEI and Credit Card Validation Techniques using Layered based LUHN’s Algorithm

Electronic cards are trending in the present scenario for carrying out secure and cashless transactions.There is a need to understand different sources of threat which can result in inappropriate use of Electronic cards by using forge Access Credentials.One can easily store all the relevant details of cards just by Swiping them into a Point of Sales(POS) transaction device,later the details of the card such as CVV and four digit pin can be stored into the buffer which can be used to create a Similar Credit Card and Withdraw as much money as possible.Similarly IMEI is a Key Parameter of Every Electronic gadget to be specific to Mobile Phones,the primary purpose of IMEI is to uniquely identify each and every mobile phones. The present paper attempts to define a method which can be used to validate a given IMEI number on whether if it is valid or not,the same method can be used to validate most of the Credit Card and Debit Cards as well,this will result in a secure mean in dealing with mobile phones as well as secure plastic card for digital transactions based its authenticity

Carica Papaya’s Anti-Diabetic and Anti-Cancer Properties – A Review

The Carica papaya originates from the Caricaceae family, and various members of this family have been used as treatments for a range of ailments. The perennial plant C. papaya, which is currently found over the whole tropical region, is thought to have originated in the southern region of Mexico. To assess the biological activity of distinct C. papaya sections, several scientific studies have been carried out. Since ancient times, the papaya plant's many components have been employed for medicinal purposes. In this article, the process of extracting Carica papaya leaves as well as the anti-cancer and anti-diabetic properties of papaya leaf activity were all things we wanted to assess. The information for this review paper, which focuses mostly on the therapeutic potential of papaya leaf extract was obtained via researching a collection of wider internet databases, including Google Scholar, PubMed, Science Direct, and Elsevier. The papaya plant, which has different parts such as fruit, leaves, seeds, bark, latex, and other substances, is very important in controlling the spread of illness. Alkaloids, glycosides, tannins, saponins, and flavonoids are just a few of the bioactive constituents in this, we focused on the papaya plant leaf's anti-cancer and anti-diabetic properties. The papaya has a wide range of therapeutic qualities. Papaya is a potent remedy, according to traditional beliefs. Biological activities have been the subject of much research. In the current review, all the pharmacological applications and activities of certain chemical components are discussed

Study on The Application of Processed Municipal Solid Waste Ash for Sustainable Construction Materials

The total amount of solid trash produced in India is 160038.9 TPD, according to the Annual Report on Solid Waste Management (2020–21), CPCB, Delhi. Out of which, Tamil Nadu created 13422 TPD of solid waste, of which 9430.35 TPD was processed, and 2301.04 TPD was landfilled. The researchers have been forced to look at alternative processes and materials for the manufacturing of construction materials utilizing processed municipal solid waste ash (PMSWA) due to the increased demand for environmentally friendly and sustainable products. This research work focused on the replacement of fine aggregate by (0%, 10%, 30% and 50%) Processed Municipal Solid Waste Ash (PMSWA) in the Solid Blocks. This research enhances the sustainable material development in the construction industry. SEM study showed that specimens with CTR do not have any cracking on their fracture surfaces, unlike samples without CTR. This study examines the material’s physical characteristics, including its mechanical attributes like compressive strength and flexural strength as well as its chemical composition using XRF. It demonstrates that the substitution or addition of PMSWA to construction materials is appropriate, cost-effective, and safe

Mapping social work across 10 countries: Structure, intervention, identity and challenges

An emerging global consciousness and rising attention given to international social work development has seen the recognition of comparative research within the profession. Understanding the functioning and organisation of social work within various country contexts is critical in order to formulate knowledge around its overall impact, successes and challenges, allowing social workers to learn from one another and build professional consolidation. The profession is mapped out in 10 countries, reflecting on its structure, identity and development. Although the profession is developing globally, it is also experiencing significant challenges. Key insights, conclusions and recommendations for future research are presented

A new framework for cortico-striatal plasticity: behavioural theory meets In vitro data at the reinforcement-action interface

Operant learning requires that reinforcement signals interact with action representations at a suitable neural interface. Much evidence suggests that this occurs when phasic dopamine, acting as a reinforcement prediction error, gates plasticity at cortico-striatal synapses, and thereby changes the future likelihood of selecting the action(s) coded by striatal neurons. But this hypothesis faces serious challenges. First, cortico-striatal plasticity is inexplicably complex, depending on spike timing, dopamine level, and dopamine receptor type. Second, there is a credit assignment problem—action selection signals occur long before the consequent dopamine reinforcement signal. Third, the two types of striatal output neuron have apparently opposite effects on action selection. Whether these factors rule out the interface hypothesis and how they interact to produce reinforcement learning is unknown. We present a computational framework that addresses these challenges. We first predict the expected activity changes over an operant task for both types of action-coding striatal neuron, and show they co-operate to promote action selection in learning and compete to promote action suppression in extinction. Separately, we derive a complete model of dopamine and spike-timing dependent cortico-striatal plasticity from in vitro data. We then show this model produces the predicted activity changes necessary for learning and extinction in an operant task, a remarkable convergence of a bottom-up data-driven plasticity model with the top-down behavioural requirements of learning theory. Moreover, we show the complex dependencies of cortico-striatal plasticity are not only sufficient but necessary for learning and extinction. Validating the model, we show it can account for behavioural data describing extinction, renewal, and reacquisition, and replicate in vitro experimental data on cortico-striatal plasticity. By bridging the levels between the single synapse and behaviour, our model shows how striatum acts as the action-reinforcement interface

Hepatoprotective and antioxidant activities of fruit pulp of limonia acidissima linn

Purpose: To investigate the possible hepatoprotective and antioxidant activities of methanolic extract of fruit pulp of Limonia acidissima Linn (MELA) against carbon tetra chloride (CCl4) induced liver damage in rats. Methods: 200 and 400 mg/kg p.o doses of MELA was administered to group of animals for 10 days. Silymarin (100mg/kg) served as a standard and carbon tetrachloride at a dose of 0.5 ml/kg i.p was used to induce liver damage. The various hepatic biochemical parameters like aspartate transaminase (AST), alanine transaminase (ALT), alkaline phosphatase (ALP), total protein (TP), total bilirubin (TB), gamma glutamyl transferase (GGT) and in vivo antioxidant biochemical parameters like super oxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and glutathione (GSH) levels were evaluated to determine the hepatoprotective and antioxidant activity. Results: Significant dose dependant hepatoprotective effect of both doses of MELA was observed (