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The effect of elevational gradient on Potentilla fruticosa from Pir Panjal range of Jammu &Kashmir, India
Get PDFThere is significant interest in understanding how medicinal plants vary in morphological and physiological responses with changes in elevation. And to assess the soil properties of these altitudinal gradients. The mountainous areas of Pir Panjal range of Jammu region offer a unique opportunity to study how plants adapt to rapid changes in elevation. This study focused on Potentilla fructicosa examining their responses at three different elevations of Pir Panjal range of Jammu region: 930 m, 1183 m, and 1843 m above sea level (ASL). In the current study, several parameters have been evaluated along this vertical gradient, including soil physio-chemical parameter along with morpho-physiological parameters (Plant height, leaf area and photosynthetic pigments). The results revealed a negative correlation between soil pH, phosphorus and potassium with increasing altitude. Further, a positive correlation was found between soil total nitrogen, organic carbon, and soil organic matter. The results indicated that with increasing elevation, plant height and leaf area decrease, while photosynthetic pigments increase. Additionally, it was observed that the variations in photosynthetic pigments, leaf area, and plant height in Potentilla fruticosa are attributed to local adaptation. These findings offer valuable insights into how a narrow elevational gradient influences plant morphology and physiology
EVALUATION OF PREVALENCE OF ANDREWS’ KEYS: CROWN ANGULATION, CROWN INCLINATION AND CURVE OF SPEE IN BIHAR POPULATION
Get PDFObjectives: Given the widespread use and dissemination of the concepts of Andrews' six occlusion keys as a tool for diagnosis and treatment planning, it becomes necessary to establish the norms for every ethnic group as Caucasian norms show a great degree of variation when applied to different populations.Aim: To evaluate the prevalence of three Keys; key II (Crown angulation), key III (Crown inclination) and key VI (curve of Spee) in a sample population from Bihar having occlusion near normal.Methodology: 100 study models from Bihar population with natural normal occlusion were studied. The frequency with which the three keys: Key II, Key III and Key VI were found in everyone was observed, as well as which keys were most and least frequent.Statistical analysis: SPSS software and various analytic tools were used to evaluate the data.Results and Conclusions: The evaluation of the prevalence of the three keys of Andrews optimal occlusion in Bihar population showed a prevalence rate of 96 percent for curve of Spee, second most prevalent being crown inclination with a prevalence rate of 90.25 percent whereas a prevalence rate of 84.71 percent was found for crown angulation. Thus, it can be concluded that most people in the Bihar population closely follow Andrews’ norms particularly for the key IInd, IIIrd and VIth
INTEGRATING ARTIFICIAL INTELLIGENCE INDESIGN THINKINGFOR SUCCESS
Get PDFArtificial Intelligence (AI) and Design Thinking (DT) if integrated can work wonders in the landscape of innovation, problem-solving and creativity. This synopsis highlights the main findings from studies related to this intersection. The impact of this opening statement is that it tells about how AI will play a vital role in the process of Design Sense-Making. These tools can help design teams double-click on user preferences, define better, and ideate faster. For example, practitioners can use AI to glean user behavior patterns by analyzing large datasets to be able to make deeper empathetic insights and better-informed decisions. The study identifies multiple key areas in which AI enlarges the design thinking process:Idea Generation: AI can analyze market trends & user feedback to help in generating a diverse set of ideas.User-Centered Design: AI tools help to gain deeper insights into the experiences of users and keep solutions human-centric.Nonetheless, the application of AI in design thinking is not without its challenges, such as concerns about bias in AI algorithms and the need to strike a stability between human creativity and machine intelligence. While AI provides powerful tools to enhance the design process, it should not act as a replacement for the fundamental human-centered principles of design thinking. hat said, as organizations seek the potential of this synergy, attention must be paid to ethical implications, ensuring human values continue to steer innovation initiatives. Design Thinking which focuses on empathy, creativity, and iteration to solve complex problems, especially in the fields of design and engineering
The Intersection of Language Modeling, Child Development, and Computational Thinking in Elementary School Education: A Framework for Enhancing 21st-Century Skills
Get PDFIn the rapidly making circumstance of 21st-century setting up, the set out some reasonable set out some reasonable compromise of language depicting, kid improvement, and computational thinking has emerged as an unprecedented technique for controlling early age school bearing. This study analyzes how these three spaces meet to shape the psychological, etymological, and socio-significant improvement of energized understudies. Language having a tendency to, spread out in computational semantics, mirrors the customary events of language getting, offering educators imaginative contraptions as far as possible and social endpoints. Computational thinking, a convincing reasoning design that loads rot, plan interest, and algorithmic thinking, draws in trustworthy reasoning and creative mind. Together, these spaces make a synergistic improvement that stays aware of the improvement of major 21st-century limits, including created course, thinking limits, and mechanized shared brand name. This paper mixes existing evaluation, consolidates the exchange between these makes, and proposes enlightening techniques for orchestrating them into grade school informational exercises. By moving past language, understanding, and improvement, this approach prepares students to survey the complexities of a mechanized world while making solid learning and adaptability
Position Change and Early Ambulation Post-Trans-Femoral Coronary Angiography: A Systematic Review
Get PDFBackground: Trans-femoral coronary angiography (TFCA) is a key diagnostic procedure for assessing coronary artery disease. Post-procedural care, particularly early ambulation and structured position changes is essential to minimize complications and enhance recovery. While prolonged bed rest has traditionally been recommended, emerging evidence suggests that early mobilization may improve patient comfort and reduce hospital stays. However, inconsistencies in clinical guidelines necessitate a systematic evaluation of its safety and efficacy.Aim: This systematic review is aiming the impact of early ambulation and position changes on pain reduction, vascular complications, and patient recovery outcomes post-TFCA.Method: Following PRISMA guidelines, we searched PubMed, Scopus, Web of Science, Cochrane Library, and Embase, including clinical trial registries. RCTs and quasi-experimental studies meeting predefined criteria were included. Risk of bias was assessed using RoB 2 for RCTs and the JBI Critical Appraisal Checklist for quasi-experimental studies.Results: Five studies (n=556) were included. Early ambulation and position changes significantly reduced pain, particularly between the 2nd and 8th hours post-procedure, and improved patient comfort while reducing pain medication dependence. No significant increase in vascular complications (hematoma, hemorrhage, thrombosis) was reported. Some studies indicated a lower incidence of urinary retention in the intervention group.Conclusion: Early ambulation and position changes post-TFCA are safe and effective, reducing pain and improving recovery without increasing complications. Findings support standardized mobility protocols to optimize post-procedural care, warranting further large-scale RCTs for broader implementation
The Evolving Role of Dental Assistants in Modern Dentistry: A Systematic Review of Responsibilities, Challenges, and Impact on Patient Care
Get PDFThe role of dental assistants in modern dentistry has evolved significantly, encompassing a broad spectrum of clinical, administrative, and technological responsibilities. This systematic review examines the expanding scope of dental assistants' duties, the challenges they face, and their impact on patient care and dental practice efficiency. The findings highlight that dental assistants contribute to improved workflow, reduced chair time, and enhanced patient satisfaction through their involvement in chairside assistance, infection control, radiography, and patient education. However, challenges such as occupational stress, limited career advancement opportunities, and workforce shortages persist, affecting retention and job satisfaction. Technological advancements, including the integration of digital tools and artificial intelligence, are reshaping dental assisting, emphasizing the need for continuous education and policy improvements. This review underscores the importance of recognizing and supporting dental assistants' roles to optimize healthcare outcomes and enhance the efficiency of dental practices
Enhancing Heart Disease Prediction through Cross-Domain Transfer Learning from Related Health Conditions
Get PDFHeart disease remains a predominant cause of mortality worldwide, and the complexities in its predictive modeling are heightened by limited, domain-specific datasets. Traditional machine learning approaches often struggle to generalize across diverse populations due to data scarcity and the heterogeneous risk factors associated with heart disease. To address these limitations, this study explores a cross-domain transfer learning framework, which leverages knowledge from related health conditions, including diabetes, hypertension, and chronic respiratory diseases. This framework applies pre-trained models from these related domains to enhance prediction accuracy for heart disease in data-constrained environments. By adapting models trained on large datasets from overlapping medical domains, the proposed approach enriches heart disease models, allowing them to capture intricate risk patterns that might otherwise be overlooked. Experimental findings highlight the improved performance of transfer learning models over traditional heart disease models, particularly in terms of accuracy, sensitivity, and specificity. This cross-domain transfer learning approach not only addresses the challenges of limited heart disease datasets but also enhances predictive robustness, underscoring its potential for real-world clinical applications
Phytochemical analysis of Hibiscus rosa-sinesis and its biomedical application
Get PDFHibiscus rosa-sinesis, belonging to the family Malvaceae, is a tropical and subtropical plant widely recognized for its medicinal properties. The plant can grow up to 2–5 meters, and its leaves are dark green, glossy, and ovate with serrated edges. Hibiscus rosa-sinesis has been traditionally used in various treatments because of its rich phytochemical content. The bioactive compounds in Hibiscus rosa-sinesis leaves, including flavonoids, tannins, alkaloids, phenolic compounds, terpenes, and saponins, have been extracted using the Soxhlet extraction method, with ethanol as a solvent. The leaves exhibit potent anti-inflammatory, antioxidant, antimicrobial, antifungal, and Antidiabetic properties, making the plant a significant candidate for biomedical applications. These properties allow the plant to be effective in treating infections, managing inflammation, and controlling oxidative stress and diabetes. The total phenolic content and total flavonoid content in the leaves of Hibiscus rosa-sinesis to assess their contribution to the plant's medicinal potential. These phytochemicals are key contributors to the plant's therapeutic efficacy, particularly in oxidative stress reduction and inflammatory response modulation
Computer Vision in Medical Imaging Detecting Tumors Using AI-Powered Image Processing
Get PDFThis research describes how computer vision applies to medical imaging through the discussion of automated AI techniques in addition to their limitations. The research demonstrates that CNNs among deep learning algorithms enhance tumor detection accuracy effectively. The available technology faces current issues related to data availability as well as understanding technical processes. This research examines how AI technology can improve healthcare diagnosis procedures along with its prospective path of advancement
CORRELATION BETWEEN PHYSICOCHEMICAL WATER PARAMETERS WITH PLANKTON DIVERSITY
Get PDFPresent work was carried out to assess the correlation between water parameters and seasonal variations of plankton diversity of manmade lakes in Anandwan, Warora Dist. Chandrapur (Maharashtra).These lakes were used for irrigation and aquaculture purposes. The water samples were collected from three lakes in the Anandwan regionfrom January 2022 to December 2022.Physicochemical parameters show a positive correlation between temperature and dissolved oxygen. Other parameters viz COD, and BOD are also showing correlation. There exists a significant correlation between the plankton count and the Physico chemical parameter. Total phytoplankton count ranges from 216-5011.2 no/mlbelonging to class Chlorophyceae, Cyanophyceae, Bacillariophyceae, Cryptophyceae, Euglenophyceae, Florideophyceaeand zooplankton ranges from 155-685no/mlfrom Protozoa (paramecium) and Arthropoda phylum viz, Copepods, Cladocera and Rotifera. In Phytoplanktons, out of 12 genera, Closterium was found dominant followed by Cylinderospermum, Fragillaria, and Phacus as well as Batrachospermum. While in Zooplankton Nauplius was reported as dominant followed by Paramecium, Ceriodapnhia dubia, and Branchionus caudatus. Diversity indices, Dominance, and richness index were also calculated.The trend of dominance is as follows:Phytoplankton: Chlophyceae >Cyanophyceae > Bacillariophyceae > Euglenophyceae = FlorideophyceaeZooplankton: Copepods > Protozoa > Rotifera> Cladocer