Volume 13 | Issue 2 |

 Abstract

In today's age of competition, the mathematical skills are highly required. The fast calculations are the pillars to clear any competitive exams. Vedic mathematics not on ly makes someone calculations speedy but also saves the time. Vedic mathematics should be implemented from school level to increase the interest of students in the subject. Vedic mathematics depends upon sixteen sutras of Sanskrit.

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 Keywords

Vedic, sutras, mathematics, calculations

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With the growing demand for personalized skincare, this project combines advancements in Artificial Intelligence (AI), dermatology, and nutrition to develop a comprehensive solution for tailored skincare recommendations. The existing system utilizes custom Convolutional Neural Network (CNN) models for basic skin condition detection, providing a foundation for personalized skincare. However, the proposed system enhances the precision of skin analysis by employing advanced CNN models, such as ResNet50, to improve accuracy in identifying various skin conditions. By integrating dermatological data with nutritional insights, the system offers highly personalized skincare routines that are specifically designed based on the user's unique skin type, condition, and dietary habits. This innovative approach bridges the gap between healthcare and AI, empowering users with actionable recommendations to optimize their skin health. By delivering personalized advice, the system not only supports skincare but also promotes a holistic understanding of how diet influences skin health, ultimately guiding users towards healthier skin through data-driven, customized care

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 Keywords

Personalized Skincare, Dermatology, Convolutional Neural Network (CNN), Skin Type, ResNet50, Nutritional Insights, Artificial Intelligence (AI)

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Infertility is a significant global health issue that affects millions of individuals and couples worldwide. It is defined as the inability to conceive after one year of regular, unprotected sexual intercourse and can result from a variety of medical, environmental, and lifestyle factors. The prevalence of infertility has been rising in both developed and developing countries due to factors such as delayed childbearing, increased prevalence of lifestyle diseases (like obesity and diabetes), and environmental pollutants. Despite its widespread impact, infertility remains a sensitive and often stigmatized issue, which limits open discussions and access to care. This paper explores the global burden of infertility, examining its causes, socioeconomic impact, and the challenges faced by individuals seeking fertility treatment. Additionally, it highlights disparities in access to fertility services, particularly in low- and middle-income countries, where cultural, financial, and infrastructural barriers significantly hinder treatment availability. The paper also reviews advancements in assisted reproductive technologies and their potential to address infertility, alongside the ethical considerations surrounding these treatments. Addressing infertility as an international health problem requires a multifaceted approach that includes improved awareness, better access to healthcare services, and global collaboration to reduce the stigma and barriers to treatment.

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Infertility, International health problem

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The present study focuses on enhancing the solubility and dissolution characteristics of Aceclofenac, a Biopharmaceutical Classification System (BCS) Class II drug with poor aqueous solubility, using the solid dispersion technique. The study employs two methods: fusion and solvent evaporation, incorporating PEG 6000 and PVP K32 as hydrophilic carriers. Preformulation studies, including FTIR analysis, confirmed no significant drug-excipient interactions, ensuring compatibility. Solid dispersions were prepared and evaluated for micrometric properties, flowability, in vitro drug release, and stability. Results: The results demonstrated a significant improvement in solubility and dissolution rates, particularly with the formulation ASDF3 (fusion method with PEG 6000), which exhibited superior dissolution characteristics compared to ASDS3 (solvent evaporation with PVP K32). Based on in vitro drug release studies, the solid dispersion method effectively improved the dissolution profile of Aceclofenac, highlighting its potential for enhancing the bioavailability of poorly soluble drugs. The findings suggest that polymer selection and preparation method significantly influence the drug's solubility and dissolution behaviour.

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 Keywords

Solubility, Aceclofenac, Solid Dispersion, and Rate of Dissolution.

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 Abstract

Vital capacity is crucial for athletes who must perform with endurance and strength for extended periods while maintaining a breathing mechanism. The present study comprised 20 male students of the University College of Physical Education and 20 other male post-graduation students of Bangalore University. The researcher used descriptive statistics and independent t-test tools to interpret the data. The mean value of other post-graduation students (OPS) and physical education students (PES) at Bangalore University is 3.76 and 4.18, respectively. The median values of OPS and PES at Bangalore University are 4.57 and 4.16, respectively. The standard deviation of OPS and PES at Bangalore University is 0.55 and 0.33, respectively. The minimum values of OPS and PES at Bangalore University are 2.53 and 3.58, respectively. The P-value is 0.002893. Since the p-value is less than 0.05 at the 1% level of significance. It is concluded that the vital capacity of PES is higher than that of OPS at Bangalore University.

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OPS: Other post-graduation students. PES: Physical education students. Vital capacity, T test

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This study examines consumer perceptions of reading English newspapers, with a specific focus on Coimbatore City. The growing impact of digital media on traditional print journalism has sparked a rethinking of consumer attitudes toward newspapers. This study looks at a variety of factors, including demographic impacts, preferences, reading patterns, and the perceived value of English newspapers among Coimbatore residents. The study polls a representative sample of newspaper readers to determine their reasons for reading, the type of information they prefer, and how frequently they consume newspapers. The findings are intended to provide insights into how English newspapers are evaluated in terms of reliability, relevance, and efficacy in providing customers' information demands.

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language,kwoledge,leadership,information

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As a selective serotonin reuptake inhibitor (SSRI), fluvoxamine has shown promise in large-scale, double-blind, randomized, controlled trials including people with panic disorder, obsessive-compulsive disorder (OCD), and social anxiety disorder (SAD). Furthermore, patients with a variety of obsessive-compulsive spectrum disorders, such as binge eating disorder, bulimia nervosa, pathological gambling, and body dysmorphic disorder, as well as those with post-traumatic stress disorder, have shown benefits. Fluvoxamine was the first SSRI to be licensed for the treatment of OCD in children and adolescents, and numerous well-controlled trials have confirmed its efficacy in treating OCD, SAD, and other anxiety disorders. Like other SSRIs, fluvoxamine is generally well tolerated; the most frequent adverse effect is nausea. It is not sedative or impairs cognitive function.

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 Keywords

Selective serotonin reuptake inhibitors (SSRIs), anxiety disorders, panic disorder, obsessive-compulsive disorder (OCD), social anxiety disorder (SAD), sexual dysfunction, drowsiness, cognitive impairment, and fluoxamine maleate.

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Artificial intelligence (AI) is a technology that creates computers that ensure that humans prepare things that involve intelligence. Natural Language Processing (NLP) is an extensively deliberated and explored topic at present. It is a subject that forms part of artificial intelligence (AI), which has attracted further consideration for demonstrating and examining human languagecomputationally. Its application has multiplied in numerous arenas like medicine, information extraction, email filters, machine translation, customer support, chatbots and virtual assistants, summarizations, etc. Different algorithms utilized for NLP are primarily reliant on the recurrent neural network. In the past few years, NLP has seen main developments as a result of the availability of enormous datasets, complex algorithms such as neural networks, and robust technology. This created a potential for machines to read and examine the unstructured input in the form of video, voice and writing. This review paper focus on the influence of machine learning in NLP. Also, highlights on Deep learning architecture, particularly recurrentneuralnetwork (RNN) and its variant, such as Long Short-Term Memory (LSTM). Furthermore, recent advancements in NLP and the application of NLP are discussed. This paper also examines the challenges and limitations of NLP. Finally, NLP in the health sector, finance, and conversational AI will also be addressed.

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Natural Language Processing (NLP), Deep Learning, Machine Learning, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Artificial Intelligence (AI), Morphological Analysis, Syntactic Analysis, Semantic Analysis, Discourse Analysis, Pragmatic Analysis, Chatbot, Generative Pre-Training (GPT).

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The Common Technical Document (CTD) was introduced to streamline the drug registration process over many countries, including the US, EU, and Japan, by standardizing the structure and content of regulatory dossiers. The aim of this strategy is to reduce the time, resources, and complexity required for pharmaceutical industries to secure marketing authorization in many nations. quality control, resource constraints, and language barriers continue to impact the execution of CTD, particularly in developing countries like India. The Common Technical Document (CTD) was introduced to streamline the drug registration process over many countries, including the US, EU, and Japan, by standardizing the structure and content of regulatory dossiers. the aim of this strategy is to reduce the time, resources, and complexity required for pharmaceutical industries to secure marketing authorization in many nations. quality control, resource constraints, and language barriers continue to impact the execution of CTD, particularly in developing countries like India. administrative data, technical summaries, quality data, non-clinical study reports, and clinical study reports are all covered in the five modules in which CTD is divided. The adoption of the CTD facilitates faster regulatory reviews, improved communication between regulatory bodies, and the potential for electronic submissions. in spite these Benefit, challenges such as regulatory harmonization issues, the volume and difficulty of data, quality control, resource constraints, and language barriers continue to impact the implementation of CTD, particularly in developing countries like India. This article explores the structure, advantages, challenges, and limitations of the CTD, offering insights into its global impact and the hurdles faced by the pharmaceutical industry in regulatory submissions.

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Regulatory Dossier : An Overview On CTD

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Assessing AI uses in institutions of higher learning has triggered this study, where the researcher seeks to establish what faculty feel and think about technologies concerning performance evaluation systems based on artificial intelligence. The study also focuses on how these experiences are influenced by demographic characteristics such as age, gender, education level, and teaching experience in a diverse sample from Coimbatore District. Altogether, the responses were largely positive, and the AI works as it is recognized for providing reasonable and unbiased comments that can benefit career development and correlate the work satisfaction. However, there are some lose ends with regards to lack of human intervention, a potential for algorithmic bias, lack of accountability. Concern with job and promotion opportunities and work-life imbalance also brings focus on segments that crave change. The present work mentions the strong connections between the experiences of faculty and demographic factors and concludes that there ought to be different approaches to AI implementation. To ensure that the system is effective and fair the research offers information on potential development which includes: a dual approach where the AI works under the supervision of managers and coaches while at the same time finding ways of maintaining work-life equilibrium.

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 Keywords

AI-driven evaluations, job satisfaction, faculty perceptions, algorithmic bias, transparency, professional development.

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