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Plants Used for Traditional Medicine during Pregnancy, Childbirth, and Postpartum Care by Chuktia Bhunjia Tribe of Nuapada District, Odisha
Get PDFThe use of medicinal plant species against a wide range of diseases has a long history in human civilization, which dates back to the time when people were seeking remedies in their surroundings to help them recover from illness. Activities and diet during the postpartum period are culturally dictated in many tribal cultures and a period of confinement is observed. Plants play an important role in diet and traditional medicine recovery postpartum. Little is known of the Chuktia Bhunjia, a particularly vulnerable tribal group (PVTG) who lives in Sunabeda village of Nuapada District. The primary objective is to identify the use of plants during pregnancy, parturition, postpartum recovery, and infant healthcare
INFLUENCE OF LIFESTYLE FACTORS ON AGNI AMONG YOUNG ADULT A PILOT STUDY
Get PDFAgni, the fire element in the body, is responsible for the conversion of food into energy, essential for all vital functions. If Agni ceases to function, death occurs, making its maintenance critical for health. There are three types of Agni: jatharagni (digestive fire), bhootaagni (chemical fire), and dhatwagni (metabolic fire). Among these, jatharagni plays the most significant role in maintaining health, with four functional states: vishamagni (irregular), teekshnagni (intense), mandagni (low), and samaagni (normal). Samaagni, the balanced state, is crucial for maintaining health. This paper explores the relationship between Agni and lifestyle diseases, emphasizing the importance of maintaining a balanced Agni for health.Material & Methods: A cross-sectional survey was conducted among 100 healthy individuals of the 18 to 30 years age group of either gender. Jatharagni was assessed by using a standardized questionnaire.Result: Association of Agni with the lifestyle was done by using principal component analysis and correlation method. A statistically significant correlation was established at the level of p < 0.01.Conclusion: Though the result showed significant association, large population-based works are needed for conclusional statements
REMOVAL OF CRYSTAL VIOLET DYE FROM WASTEWATER USING SYNTHESIZED ACTIVATED CARBON FROM ADANSONIA DIGITATA IN TWO DIFFERENT GEOGRAPHICAL REGIONS OF SATARA DISTRICT
Get PDFThe increasing presence of synthetic dyes, such as crystal violet dye (CVD), in wastewater poses significant environmental, aquatic and health challenges. This study focuses on the synthesis of two types of activated carbon from Adansonia digitata (baobab) tree branch which was collected from Dahiwadi, and Menavali in Satara district, a cost-effective and sustainable adsorbent for dye removal. Activated carbon(AC) was produced by chemical activation with potassium hydroxide (KOH) followed by thermal treatment. This Activated Carbon was characterized using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) analysis. Batch adsorption experiments were carried out to assess the impact on essential parameters, including initial dye concentration, pH, adsorbent dosage and contact time. The results demonstrated high adsorption efficiency, with a maximum removal percentage exceeding 99.09% under optimal conditions. This study highlights the potential of Adansonia digitata tree branch (ADTB) waste-derived activated carbon as an eco-friendly and efficient solution for treating dye-contaminated water
BIOLOGICAL SYNTHESIS OF Fe₂O₃ NANOPARTICLES: STRUCTURAL ANALYSIS AND ANTIMICROBIAL POTENTIAL
Get PDFThis research examines the biological synthesis of Fe₂O₃ nanoparticles (NPs). The synthesis of Fe2O3 nanoparticles was carried out using saussurea obvallata pant extract, employing biological approach while following the conventional co-precipitation method. The synthesized Fe₂O₃ nanoparticles' structural and morphological characteristics were examined utilizing Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Scanning electron microscopy (SEM), Energy-dispersive X-ray spectroscopy (EDX), and Transmission electron microscopy (TEM),Ultraviolet spectroscopy (UV).The antibacterial activity of the biogenically synthesized Fe₂O₃ NPs was also evaluated, demonstrating excellent antimicrobial efficiency in response to both Gram-positive and Gram-negative bacteria. The synthesized nanomaterials was exhibited excellent antimicrobial activity against bacterial strains Staphylococcus aureus (NCIM-2654), Bacillus cereus (NCIM-2703), Pseudomonas aeruginosa (NCIM-5032) and Proteus vulgaris (NCIM-2813). This study highlights the potential of plant-mediated green synthesis as an eco-friendly and sustainable approach for fabricating Fe₂O₃ NPs with promising biomedical applications
Comprehensive Assessment of Physicochemical and Microbiological Water Quality Indexing with Antibiotic Resistance Profiling of Escherichia coli in the Bagmati River, Kathmandu, Nepal
Get PDFThe Bagmati River, a crucial waterway in Kathmandu, Nepal, has been severely impacted by rapid urbanization, industrial discharge, and untreated sewage, leading to significant pollution. This study investigates the physicochemical water quality of the Bagmati River and the antibiotic resistance patterns of Escherichia coli (E. coli), a key fecal indicator bacterium. Water samples were collected from various sites along the River from Sundarijal to Chovar, Kathmandu, during two periods: January–June 2020–21 and July–December 2020–21. Key physicochemical parameters analysed included temperature, pH, Total Suspended Solids (TSS), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), total nitrogen, phosphorus, nitrate, and heavy metals (Cu, Pb, Zn, Cd, Cr, Hg). Most of the samples cross the limit of both WHO and Nepal standard. Results revealed TSS levels ranging from 113–444 mg/L and 68–513 mg/L, and BOD values of 1.5–394 mg/L and 1.5–392.8 mg/L for January–June and July–December, respectively, both exceeding WHO and Nepalese standards. Coliform counts ranged from 0.18×10²–148.6×10² CFU/mL and 0.2×10²–126×10² CFU/mL in the respective periods, indicating bacterial contamination from untreated waste. Antibiotic sensitivity testing of E. coli isolates (E1–E28) revealed high resistance to ampicillin (87%) and erythromycin (90%). Conversely, ciprofloxacin, chloramphenicol, nitrofurantoin, and gentamicin exhibited strong effectiveness, with inhibition zones ranging from 12–38 mm, 16–30 mm, 16–26 mm, and 18–23 mm, respectively. Intermediate resistance to tetracycline and ceftriaxone suggests emerging resistance patterns. These findings underscore the dual challenges of water pollution and antibiotic resistance, emphasizing the urgent need for wastewater treatment, stricter regulation of industrial discharges, and prudent antibiotic use to safeguard public and environmental health
AI for Predictive Health Monitoring: Applications in ICU Patient Outcome Prediction
Get PDFHealthcare has achieved substantial advancement through Artificial Intelligence integration because it enables better patient outcome evaluation and forecasting along with constant monitoring. Predictive health monitoring significantly enhances operations in Intensive Care Units (ICUs) by using AI-based models to examine large quantities of patient information for critical event prediction purposes along with intervention optimization. The document examines ICU patient outcome prediction through AI applications together with vital information about machine learning (ML) and deep learning (DL) methods and data entry and ethical aspects along with potential future developments
Evaluating Seasonal Variations in Total Phenol and Flavonoid Retention in Stem Powder of hemiparasite Dendropthoe falcata var pubescens (Hook.f)
Get PDFThe hemiparasite Dendropthoe falcata var pubescens, belonging to family Loranthaceae, is known as “vanda” in the Indian Ayurvedic system. Due to the abundance of phenols and flavonoids in the entire plant, it is significant from an ethno-botanical perspective. Widely utilized in traditional medicine, the plant is reputed for its therapeutic properties, including cooling, bitter, astringent, aphrodisiac, narcotic, and diuretic effects. Environmental factors such as temperature, photoperiod, and seasonal changes substantially influence the phytochemical profile of the plant. This study was undertaken to evaluate the impact of seasonal variations on the total phenol and flavonoid content in the dried stem powder of D. falcata. Conducted over two consecutive years, the investigation focused on three seasons: rainy, winter, and summer. Statistical analysis using one-way ANOVA revealed significant seasonal variations (p ≤ 0.01) in the phytochemical composition of the dried stem powder. Thus, the optimal sampling is necessary for utilization of plants in traditional medicine and phyto-pharmaceutical applications
ADVERSE DRUG REACTIONS AND PHARMACOVIGILANCE IN ASU MEDICINES: A CASE STUDY AND COMPREHENSIVE REVIEW
Get PDFBackground: Adverse Drug Reactions (ADRs) are a concern in both modern and traditional medicine, including Ayurveda, Siddha, and Unani (ASU) systems. Pharmacovigilance is essential to ensure their safe use. Case Report: A 28-year-old female with sinusitis developed an extensive erythematous rash after taking Vyoshadi Vati and Drakshasava. With no prior allergies or chronic illness, the reaction was categorized as moderate and non-serious. Symptoms resolved within 24 hours of drug discontinuation and antihistamine administration. The case was reported to the Peripheral Pharmacovigilance Centre (PPvC) via the Ayush Suraksha portal. Conclusion: This case highlights the need for robust pharmacovigilance in ASU medicine. Standardization, quality control, and systematic ADR reporting can enhance safety, credibility, and global acceptance of traditional formulations
Artificial Intelligence in Medical Diagnostics: Enhancing Accuracy and Speed in Disease Detection
Get PDFThe rapid advancement of artificial intelligence has revolutionized numerous industries, with medical diagnostics being one of the most profoundly impacted fields. Traditional diagnostic approaches, while effective, often suffer from limitations such as human error, time constraints, and variability in clinical expertise. AI-driven systems, leveraging machine learning, deep learning, and natural language processing, have demonstrated remarkable potential in enhancing the accuracy, efficiency, and speed of disease detection. AI-based algorithms can analyze complex medical data, including imaging scans, pathology slides, genomic sequences, and electronic health records, with high precision and at a significantly reduced turnaround time.In radiology, AI-powered image recognition models have been successfully deployed to detect abnormalities in medical imaging, such as X-rays, MRIs, and CT scans, often surpassing human radiologists in sensitivity and specificity. In pathology, AI-assisted diagnostics can differentiate between benign and malignant tumors, reducing the need for invasive biopsies and accelerating the diagnostic process. AI is also playing a crucial role in predictive analytics by identifying patterns in patient data that may indicate the early onset of diseases such as cancer, cardiovascular disorders, and neurodegenerative conditions. The integration of AI in diagnostic workflows has not only improved clinical outcomes but also enhanced accessibility to healthcare, particularly in remote and underserved areas where medical specialists are scarce.Despite its transformative potential, AI-based diagnostics face challenges related to data privacy, algorithm bias, regulatory approval, and integration into existing healthcare infrastructures. Ethical considerations surrounding patient consent, transparency in AI decision-making, and the role of human oversight in AI-driven diagnostics must also be addressed. Additionally, the collaboration between AI developers, medical professionals, and regulatory authorities is crucial to ensure the safety, reliability, and standardization of AI-driven diagnostic tools.This paper explores the current advancements in AI for medical diagnostics, highlighting its impact on radiology, pathology, genomics, and predictive analytics. It further discusses the advantages, challenges, and future prospects of AI in disease detection. As AI continues to evolve, its role in medical diagnostics will expand, potentially reshaping the landscape of healthcare by providing faster, more accurate, and cost-effective diagnostic solutions
Phytochemical Analysis of Some Wild Vegetables from Thane Dist, Maharashtra, India
Get PDFIndian traditional knowledge about the wild edible plants (WEPs) is most important part for the sustainable development. People are addicted to eat hybrid food for the last few decades. This study focuses on the preliminary survey and phytochemical analysis of certain wild edible plants providing valuable insights into their potential benefits. Hibiscus sabdariffa, Cassia tora, Amaranthus cruentus (Red leaves), Amaranthus viridis (Green leaves), Holarrhena spp., these WEPs are tested for analysis of Phytochemicals. During the last few years, several studies have focused on the chemical characterization and the bioactivities of various WEPs, while numerous ethno pharmacological studies have highlighted their contemporary uses in modern dietsand their positive health effects. The results revealed the presence of medicinally active compounds in those five plants. From the phytochemical analysis, it could be seen that Phenolic, Flavonoids and Antioxidant Properties i.e. 2-diphenyl-1-picrylhydrazyl (DPPH) were present in all the plants. Flavonoids were absent only from Holarrhena spp. Some plant species are used for nutritional purposes and for enhancing overall health. These WEPs are utilized by tribal communities to effective treatment and manage a variety of diseases and health conditions, including diabetes, malaria, jaundice, stomach disorders, coughs, piles, amebic stool, gastritis, arthritis, and cysts, as well as to promote blood purification. However, these vegetables are growing in wild conditions and have very good nutritional and medicinal properties; they need to be domesticated by proper techniques providing agro climatic practices