Volume 13 | Issue 12 |

 Abstract

Government Nizamia Tibbiya College, Hyderabad, stands as an architectural landmark adjacent to the iconic Charminar, symbolizing the city's rich medical and cultural heritage. The institution offers undergraduate programs such as the Bachelor of Unani Medicine and Surgery (BUMS) and postgraduate programs including the Doctor of Medicine (Unani). It is the only government institution in the state of Telangana dedicated exclusively to Unani medical education. Established over a century ago by the Seventh Nizam of Hyderabad, Mir Osman Ali Khan, the college has produced generations of distinguished physicians and scholars who have made significant contributions to the field of Unani medicine. This article presents a brief account of the college's foundation, pays tribute to its visionary founder, and highlights its enduring academic and historical significance.

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Index Terms-- Tibbiya College. Unani Medicine, Nizam, Unani Physicians

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Traditional Medicines derived from medicinal plants are used by about 60% of the world's population. This review focuses on Indian Herbal drugs and plants used in the treatment of diabetes, especially in India. Diabetes is an important human ailment afflicting many from various walks of life in different countries. In India it is proving to be a major health problem, especially in the urban areas. Though there are various approaches to reduce the ill effects of diabetes and its secondary complications, herbal formulations are preferred due to lesser side effects and low cost. A list of medicinal plants with proven antidiabetic a related beneficial effect and of herbal drugs used in treatment of diabetes is compiled. Diabetes mellitus is the most common endocrine disorder, affecting 16 million individuals in the United States and 200 million worldwide. Despite the use of advanced synthetic drugs forthe treatment, use of herbal remedies is gaining higher importance because of synthetic drugshave drawbacks. Thus, this review article undertakes the attempt for providing updated information on the type of diabetes and herbal formulations which will enhance the existing knowledge of the researche.

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Herbal medications, plants, diabetes mellitus

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Accessing safe and clean drinking water, is one of the major global challenges across the planet. In this study, we propose a low-cost and real-time water quality monitoring system based on Internet of Things (IoT), using sensor networks and machine learning algorithms. The study used sensors to continuously monitor specific parameters, including pH, turbid, temperature, Total Dissolved Solids (TDS), sweetness full, and minerals. A microcontroller ESP32 received data from the sensors and loaded the data to a cloud platform for visualization and anomaly detection using the trained models. The smart water quality monitoring system can generate alerts, promote public health, and proactively protect water resources management in disadvantaged communities.

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IoT, Water Quality Monitoring, Real-Time, Machine Learning, TDS, Turbidity, pH, ESP32, Nutritional Detection

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Brain tumors epidemiology; Adolescents and young adults; Risk factors; Central nervous system malignancies; Environmental exposures; Genetic predisposition; Prevention strategies; Health disparities

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Bhasha or language is the most important media of communication for the human race since ages, Various languages as per their specific region adapts a unique style of grammaticalization. Sanskrit, known as the language of Gods is the oldest language with the most scientific grammaticalization. Ayurveda, the science of life has been narrated and pass down since ages by virtue of Sanskrit. The Ayurvedic Tantras are composed in Sanskrit Shlokas, these verse are studied and analysed for acquiring the proper knowledge of Ayurveda. Without the Sanskrit language, it is unthinkable of obtaining the knowledge of Ayurvedic healing. The newfangled ventures in the field of literature has re-highlighted the old languages and their learning techniques, Sanskrit is studied in many educational institute for its scientific ethnicity and diversity. Similarly, Sanskrit in Ayurvedic literature needs to be upgraded and highlighted efficiently. Profuse concepts applied in the system of Ayurveda, are kindred with Sanskrit literature. These, concept when studied culminated in highlighting the importance of Sanskrit Sahitya in Ayurveda.

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Sanskrit, Ayurved, Darshana

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ABSTRACT Ayurveda, the ancient medical tradition of India, underscores the paramount importance of ocular health, identifying the eye as essential to quality of life. Among the seventeen eye diseases described in the Susruta Sa?hita, Abhishyanda is presented as a condition involving all parts of the eye and is regarded as the foundational cause of many ocular disorders. In modern ophthalmology, Vernal Keratoconjunctivitis (VKC) is a chronic, bilateral, and seasonally exacerbated allergic inflammation of the ocular surface, commonly affecting children and adolescents in tropical regions. VKC is characterized by itching, grittiness, mucous discharge, redness, lacrimation, and photophobia--clinical features that closely parallel the Ayurvedic description of Kaphaja Abhishyanda. This article highlights the conceptual resemblance between VKC and Kaphaja Abhishyanda based on their shared symptomatology and pathophysiological attributes. The comparative analysis aims to strengthen the academic understanding of these conditions within traditional and contemporary frameworks.

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Kaphaja Abhishyanda , Netraroga , Vernal Keratoconjunctivitis

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AI is such a transformative and promising element of data-based governance, trade, and communication that AI-powered facial recognition, predictive analytics, and automated decision-making depend significantly on the collection and processing of huge amounts of personal data from people. These take us into the unexplored tracks for which we are unprepared; such technology usually comes with no real and clear legal safeguards for the protection of privacy. Mass surveillance risks, data breaches, and loss of individual autonomy render technical advancements like facial recognition, predictive analytics, and algorithmic profiling significant challenges to traditional privacy rights.

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Balancing AI Efficiency and Privacy Rights in Public Sector Governance

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Chikitsa chatushpad consists of four entites i.e Bhishak , Dravya , Upsthata , Rogi . A good physician is in complete without good medicine. Drugs are are responsible for the overall balance of the body. The first division of the Charak Samhitha, known as Sutrasthan or shloksthan, is divided into eight parts i.e. seven chatushka and two sangraha adhyaya. The medications are discussed in four chapters known as Bheshajachatushka or Aushadhachatushka in the sutrasthan. The medications are categorized here based on their pharmacological and pharmacotherapeutic properties. Mahakashaya is a classification system for medications based on Karmas, which is divided into fifty divisions. Arshoghan Mahakashaya is the twelfth category of medicines thought to be useful in the treatment of piles. Sravi arsha is a condition in which a person's life is made unbearable by pain and swelling of the pile mass with bleeding with bheshaj chikitsa being the first of all therapies. This is a rudimentary attempt to understand how rasa, guna virya, and prabhav of these 10 medications may work to dissolve the disease of sushka arsha.

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Arshoghan Mahakashaya, Sushka Arsha, Bheshaj Chikitsa, Charaka Samhita

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This research paper offers a comprehensive analysis of Artificial Intelligence (AI)-integrated payroll systems in small retail businesses. The paper is extended into a full-length, publication-ready format, following all IJCRT guidelines, including spacing, margins, tables, figures, and sectioning. The study demonstrates how AI improves payroll accuracy, accelerates salary computation, strengthens compliance, and reduces human errors. It also highlights adoption challenges such as digital skill shortages, infrastructure issues, and privacy-related concerns.

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Artificial Intelligence, Payroll Automation, Retail HR, Machine Learning, HR Technology.

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WQI, Physico chemical parameters, Laboratory analysis, Correlation analysis, Policy makers

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