Volume 12 | Issue 12 |

 Abstract

Supercapacitors (SCs) have gained significant attention as essential components of advanced energy storage systems, complementing renewable energy technologies and lithium-ion batteries. This study focuses on improving the performance of supercapacitors by investigating MnCuO?, a transition metal oxide, doped with aluminum (Al) and magnesium (Mg). The influence of doping on the material's structural, electronic, and electrochemical properties is comprehensively analyzed using first-principles Density Functional Theory (DFT) and Finite Element Method (FEM)-based simulations. DFT calculations reveal that doping alters the crystal structure, bonding networks, and density of states, enhancing the electronic properties and stability of MnCuO?. FEM simulations in COMSOL Multiphysics model the supercapacitor's performance under cyclic charging and discharging conditions. The findings establish that doping MnCuO? with Al and Mg improves specific capacitance, charge transport, and cycling stability, making it a promising electrode material for next-generation supercapacitors. This integrated computational approach provides a framework for the rational design of high-performance energy storage materials, with potential applications in sustainable energy systems.

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Supercapacitor, Machine Learning, Simulation, First principal

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The aim of the present study was compare the Aggression between Hockey and Basketball men Players of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G.). A total of fifty (50) subjects, comprising 25 Hockey and 25 Basketball men Players. The Subjects were selected by using purposive sampling. The age of the subjects ranged between 19-27 years. To analyze the Aggression of the subjects of Hockey and Basketball men Players, the standard Questionnaire of Aggression constructed by R. L. Bhardwaj scale, was used to know the aggression level of men University level players. It contains 28 items. The analysis of data was done by using statistical technique student 't'- test for finding the significance difference of Aggression between Hockey and Basketball men Players and the level of significance was set at 0.05 levels (p<0.05).

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aggression, men players, hockey and basketball

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ChemDraw Ultra 12.0.2 is a widely used chemical drawing software in both academia and industry. A review of this software is being done in this article to help understand the features, functionalities, and contribution to chemistry research and education. In this software, there exist extensive tools for the two-dimensional representation of chemical structures and mechanisms and pathways of chemical reactions, including stereochemistry and arrow-pushing reactions. With an intuitive interface and integration capabilities with Microsoft Office, Adobe products, and computational chemistry software, it supports diverse workflows and aids in preparing research reports and educational materials. ChemDraw's role extends across multiple fields--from organic chemistry to biochemistry--helping users visualize and communicate complex chemical structures and reactions. However, limitations exist in 3D modeling and handling large biomolecules, suggesting areas for future enhancement. Overall, ChemDraw Ultra 12.0.2 remains a solid cornerstone tool in facilitating chemical analysis, visualization, and education with promising potential for continued development.

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2D structure representation, 3D structure representation, Stereochemistry Notation, Electron flow arrows and resonance structure, Reaction Drawing and mechanism arrow, Chemical structure drawing, Chemical query structure and custom atom labelling, Integration with other tools.

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Fungal infections remain a major global health concern, particularly in immune-compromised individuals, and present a challenge in terms of effective treatment. While synthetic antifungal drugs like ketoconazole have been commonly used, their long-term use often results in adverse effects and drug resistance.[1] In contrast, herbal remedies have gained attention as alternative antifungal treatments due to their natural origin, lower toxicity, and potential to combat resistant fungal strains.[2] This review aims to explore various botanical interventions with antifungal properties, evaluating their mechanisms of action, efficacy, and safety profiles. We focus on plant species such as Neem (Azadirachta indica), Garlic (Allium sativum), Tea Tree Oil (Melaleuca alternifolia), and Turmeric (Curcuma longa), all of which have shown promising antifungal activity.[3,4,5,6] Furthermore, we discuss the synergistic effects of combining herbs to enhance antifungal potency and reduce potential side effects. This review also compares the clinical effectiveness of herbal antifungals with conventional therapies, including ketoconazole, emphasizing the need for further clinical trials to validate the therapeutic benefits of these natural alternatives.[7,8] Through this analysis, we seek to highlight novel botanical treatments as viable options for future antifungal therapies.

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Plant-based antifungal properties , Azadirachta indica (Neem), Allium sativum (Garlic), Melaleuca alternifolia (Tea Tree Oil), Curcuma longa (Turmeric), Thymus vulgaris (Thyme), Eucalyptus globulus (Eucalyptus), Cinnamomum verum (Cinnamon), Capsicum annuum (Red Pepper), Artemisia annua (Sweet Wormwood), Cinnamomum cassia (Cassia), Ocimum sanctum (Holy Basil), Hydrastis canadensis (Goldenseal), Calotropis procera(king's crown), Glycyrrhiza glabra (Licorice), Silybum marianum (Milk Thistle),

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Gridhrasi is one of the eighty Nanatmaja Vatavyadhi mentioned in various Ayurvedic texts, caused by the vitiation of Vata Dosha. One of the most common symptoms of Gridhrasi is Ruka (low back pain of radiating type) and its incidence has increased over time as a result of changing lifestyle of human being's. On the basis of its symptoms, it can be compared with sciatica in modern science and its treatments mainly aims at relieving pain, using analgesics, muscle relaxants or physiotherapy, and even surgery in certain cases and all these carry some side effects. So, it is the need of the time to search good (safe and cost-effective) treatment modality. In Ayurveda, many procedures like Snehana, Swedana, Raktamokshana, Agni Karma etc. along with various formulations have been described by our ancient Acharyas, which carry no or minimal side effects and are very easy to use. The present study entitled "Comparative Clinical Evaluation of Shiva Guggulu and Jalauka Avcharana in Gridhrasi (Sciatica)" was chosen by me because to its high prevalence. Aim & Objective: To evaluate and compare the efficacy of both Shiva Guggulu and Jalaukavchran in the treatment of two different groups of patients of Gridhrasi. Methods: Over 30 patients of Gridhrasi selected from OPD and IPD of Shalya Tantra department, U.A.U Gurukul Campus, Haridwar on the basis of inclusion and exclusion criteria after initial screening. Raktamokshana (Jalaukavchrana) and shiva Guggulu were selected for this study. The patients were divided into two groups of 15 patients each according to simple randomization. In Group A, Shiva Guggulu Vati (500mg each) was given (4 Vati twice a day, after the meal with lukewarm water). In Group B, Raktamokshana using Jalauka was done. Results: The results were concluded by applying appropriate statistical test. The trial drug and therapy showed significant result on patients with Gridhrasi. The results obtained by application of statistical tools were significant and showed that the effect of Raktamokshana (Jalaukavchrana) was more than the effect of Shiva Guggulu. Overall assessment was done for subjective parameters based on significance of the statistical test. In Group-A, 66.67% patients showed moderate improvement, 26.67% patients showed mild improvement and 6.67% patients got marked improvement in signs and symptoms. In Group-B, 53.33% patients showed marked improvement, 46.67% patients showed moderate improvement. Discussion: Group A- In accordance with these Rasa, Guna, Veerya, and Vipaka, the Shiva guggulu can function in Gridhrasi samprapti Vighatana as Vata kapha Shamaka, Shoolahara, Sothahara, Vatanulomaka, Agnideepana, balya, and Rasayana. Shiva Guggulu's contents are said to provide analgesic, spasmolytic, and anti-inflammatory effects by current standards. As a result, its anti-inflammatory and analgesic qualities will aid in the reduction of pain, and its spasmolytic qualities will ease stiffness. Group B- Ruja Pradhan Vyadhi, or Gridhrasi, is mostly caused by the vitiation of Vata Dosha. Thus, by eliminating Margavrodha brought on by the buildup of vitiated Dosha, Raktamokshana employing Jalauka would induce Anuloma Gati of vitiated Vata Dosha, which will alleviate pain. Furthermore, Jalauka's Snughda, Shlakshna guna, and Madhura rasa qualities aid in calming the vitiated Vata Dosha. Conclusion: No side effect of both the interventional modalities were observed during and after the study, suggesting that both are safe to use and can be good alternative options to treatment used in modern science which carry side effects.

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Gridhrasi, Jalaukavchrana, Raktamokshana, Sciatica, Shiva Guggulu.

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Hypertension remains a leading cause of cardiovascular morbidity and mortality worldwide, necessitating the development of effective therapeutic agents and robust analytical methods to ensure their quality and efficacy. This review focuses on chromatographic advancements for the estimation of key antihypertensive drugs: Indapamide, Amlodipine, Atenolol, and Azilsartan. These agents represent diverse pharmacological classes, including diuretics, calcium channel blockers, beta-blockers, and angiotensin II receptor blockers, each with unique mechanisms of action and analytical challenges.Chromatographic techniques, particularly high-performance liquid chromatography (HPLC) and ultra-performance liquid chromatography (UPLC), have become indispensable in the qualitative and quantitative analysis of these drugs. The review highlights single-drug estimation, simultaneous analysis in fixed-dose combinations, stability-indicating methods, and bioanalytical applications. Recent advancements, including the use of modern stationary phases, green chromatography practices, and coupled detection techniques such as LC-MS/MS, have enhanced the sensitivity, specificity, and environmental sustainability of these methods.This comprehensive review aims to provide insights into the chromatographic methodologies applied to Indapamide, Amlodipine, Atenolol, and Azilsartan, addressing analytical challenges, regulatory requirements, and future directions. It serves as a valuable resource for researchers and pharmaceutical scientists engaged in the development and validation of innovative analytical approaches for antihypertensive drugs.

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Analytical method, Review on analytical method, Antihypertensive agent, HPLC method, HPTLC method

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Medicated chewing gum represents an innovative and practical approach to drug delivery. Medicated chewing gum (MCG) containing Domperidone Maleate (DM) was developed using the direct compression method, aiming to provide a rapid onset of action and enhance patient compliance. This study focused on formulating the medicated chewing gum to speed up the onset of action and improve bioavailability, ensuring quicker relief from nausea and vomiting while increasing patient adherence. The results suggest that chewing gum containing Domperidone Maleate could be an effective dosage form for treating chemotherapy-induced nausea and vomiting.

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Drug delivery , Patient compliance , Bioavailability , Buccal absorption , Anti-emetic therapy

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This paper investigates the reduction of Total Harmonic Distortion (THD) in power conversion systems using multipulse AC to DC converters. Recognized for their capability to cancel specific harmonic orders, multipulse converters are essential in improving power quality in high-power industrial applications. A comprehensive analysis is conducted on controlled (thyristor-based) and uncontrolled (diode-based) configurations under RL load conditions, focusing on pulse configurations up to 8 pulses. Simulations and empirical validation assess the effectiveness of these systems in minimizing THD and ripple current. Despite significant advancements, research gaps persist in the comparative analysis of controlled and uncontrolled converters across various pulse configurations. This study addresses these gaps by providing a detailed evaluation of THD reduction and ripple performance across multiple configurations, offering insights for optimizing power conversion systems in real-world applications.

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THD, Multipulse AC to DC converters, HVDC, Controlled and uncontrolled converters

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Osteoporosis is a commonly occurring bone disease among the aging population, which leads to the loss of mass in bone and increased fracture risks. This study aims to develop a model using machine learning, which detects osteoporosis risk and the percentage of risk affected to the person using demographic, lifestyle, and clinical factors. The features of this project include age, race, body weight category, gender, family history, medical conditions, and hormonal changes. In addition, an AI-driven chatbot is implemented to answer bone health-related queries for the users. From the evaluated models, such as Decision Tree, Logistic Regression, Random Forest, Support Vector Machines (SVM), and Neural Network, the Random Forest classifier got the highest accuracy of 85.20%. This proposed system provides early diagnosis and information about osteoporosis risk management.

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Osteoporosis risk detection, Machine learning, Data Analytics, AI chatbot, Random Forest, Risk management.

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 Abstract

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