94 research outputs found

    An understanding of Udavarta as an underlying cause for Multi Systemic Medical Conditions - A Case Study

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    Udavarta is one of the most common and surprisingly most neglected and misinterpreted clinical condition. The concept of Udavarta takes various stances-sometimes as a Nidana, sometimes as an event of Samprapti and sometimes a Vyadhi. But all the three are somehow interrelated. Vegadharana, Adhyasana, Viruddhasana has become a routine, leading to disturbed Agni either in the form of Mandagni or Vishamagni and Prakupita Apana Vata leads to disease Udavarta. There is no permanent solution has yet in the modern science for such problem. Udavarta itself becomes Nidana of various diseased condition with the time. An attempt has been made to show the illustration of how Udavarta Vyadhi act as a Nidana of various diseased conditions

    Development of Analytical Profile of Lamotrigine and its API Formulation

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    Objective: The objective of this review is to put a light on the development of lamotrigine and its active pharmaceutical ingredients formulation with proper demonstration. Method: In the present work, one of the most imperative spectrophotometric method which is RP-HPLC method has been developed for the quantitative estimation of lamotrigine in bulk and pharmaceutical formulations. UV spectrophotometric method which involves the determination of Lamotrigine in bulk and in bulk drug and pharmaceutical formulation has maximum absorption at 307.5nm in methanol. It obeys Beer’s and Lambert’s law in the concentration range of 5-45 ”g/ml. A rapid and sensitive RP- HPLC Method with UV detection (270 nm) for routine analysis of Lamotrigine formulation was developed. Chromatography was performed with mobile phase containing a mixture of methanol and Phosphate buffer (65:35v/v) with flow rate 1.0 ml/min. In the range of 20-100 ”g/ml, the linearity of lamotrigine shows a correlation co-efficient of 0.9998. The proposed method was validated by determining sensitivity and system suitability parameters

    An Economic Assessment along the Jatropha-based Biodiesel Value Chain In India

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    The Government of India had launched the National Biofuel Mission in the year 2003 as an initiative to limit the country’s dependence on crude oil imports. An integral part of this mission is the Biodiesel Blending program and Jatropha, a tree-borne biodiesel yielding crop, is the cornerstone of the program. This study has been specifically designed to carry out economic assessment of the upcoming jatropha-based biodiesel value chain in the country. The study, based on primary data collected from three major jatropha growing states, has observed that jatropha cultivation is an economically viable proposition in the long-run as indicated by favourable values of net present value, internal rate of return and benefit cost ratio. Nevertheless, initial government support till attaining break even point is crucial to sustain the interest of the farmers. The jatropha seed processing industry has been found to be viable if operated at sufficient economies of scale, which in turn is determined by the level of backward integration with the seed market and a forward integration with biodiesel distribution channels. However, the existing biodiesel value chain in India lacks this integration and is characterized by under-developed seed markets, sub-optimal processing infrastructure and ill-defined biodiesel distribution channels. The involvement of corporate players to participate in processing and distribution activities has further delayed the program to take off. The study has cautioned that unless proactive orientation of all the stakeholders is ensured, the program may fail to meet its objectives, at least in the medium-term.Agricultural and Food Policy,

    EFFECT OF MUSTAKADI VATI IN THE MANAGEMENT OF GRAHANI DOSHA IN CHILDREN – A CASE STUDY

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    BACKGROUND: Grahani is the Adhishthana of Agni and Agni Dushti is the main reason of the disease. The disease Grahani Dosha is very commonly seen in present pediatric practice and it aggravates to form a critical condition if the proper care is not taken. MATERIAL AND METHOD: A 8-years-old male patient of Grahani Dosha with complaints of defecation just after taking meal, Bowel frequency 3-4 times/day, irregular bowel habit, loss of appetite, generalized weakness, occasional pain in abdomen, slow weight gain for 5-6 months was treated by Mustakadi Vati in three divided doses of 10 Vati per day after meal for 8 weeks with SukhoshnaJala. RESULT: Marked improvement was found after 8 weeks of treatment i.e., bowel frequency reduced to 1 time/day, no weakness, abdominal pain relieved, 2 kg body weight gained. Hematological parameters along with routine and microscopic investigations of stool and urine were done before and after the treatment, all were found normal. Mala Parikshana was done before treatment which showed sinking of stool in water and foul smell and after 8 weeks of treatment again Mala Parikshana was done where floating of stool in water and no foul smell were found. CONCLUSION: This case study has shown that Mustakadi Vati is effective in improving the symptoms of Grahani Dosha. Marked improvements were found in all the symptoms of Grahani Dosha in Children

    A face - off - classical and heuristic - based path planning approaches

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    Robot path planning is a computational problem to find a valid sequence of configurations to move a robot from an initial to a final destination. Several classical and heuristic-based methods exist that can be used to solve the problem. This paper compares the performance of a classical method based on potential field, Lyapunov-based Control Scheme, with those of the standard and stepping ahead Firefly Algorithms. The performance comparison is based on the optimal path distance and time. The results show that the stepping ahead Firefly algorithm finds a shorter path in lesser duration when compared with the Lyapunov-based method. The LbCS also inherently faces the local minima problem when the start, target, and obstacle’s center coordinates are collinear. This problem is solved using the firefly algorithm where the diversification of the fireflies helps escape local minima

    TRIPHALAGUDUCHYADI VATI WITH DIET AND LIFESTYLE MODIFICATION IN THE MANAGEMENT OF CHILDHOOD OBESITY- A CASE REPORT

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    Childhood Obesity (Sthaulya) is one of the major non communicable diseases of the modern era, increasing in prevalence. Diet (Ahara) and life-style (Vihara) play signiïŹcant role both in the development and control of obesity Sthaulya (obesity). As per Ayurveda texts, over consumption of energy dense foods along with sedentary lifestyle hampers the functioning of Medodhatvagni results in decrease fat metabolism hence causes obesity. So Triphalaguduchyadi Vati was chosen to break the etiopathogenesis of Sthaulya and to enhance the fat metabolism. A 16 year old, 11th standard, Hindu male child visited with parents to KB OPD, IPGTRA, Gujarat Ayurved University, Jamnagar, having chief complaint of progressive weight gain since 6-7 years. Triphalaguduchyadi Vati was intervened in appropriate dose for 8 weeks along with modified diet and lifestyle. Physical and laboratory assessments were done before and after the intervention. After 8 weeks of drug intervention, there was marked relief in symptoms, also there was significant decrease in physical and laboratory parameters. After reviewing, this case study it can be concluded that Triphalaguduchyadi Vati with modified diet and lifestyle is effective treatment regimen for Sthaulya in children

    Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers

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    Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as a promising noninvasive nose-on-chip technique for the early detection of lung cancer through monitoring diversified biomarkers such as volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes the state-of-the-art breath-based lung cancer diagnosis employing chemiresistive-module nanobiosensors supported by theoretical findings. It unveils the fundamental mechanisms and biological basis of breath biomarker generation associated with lung cancer, technological advancements, and clinical implementation of nanobiosensor-based breath analysis. It explores the merits, challenges, and potential alternate solutions in implementing these nanobiosensors in clinical settings, including standardization, biocompatibility/toxicity analysis, green and sustainable technologies, life-cycle assessment, and scheming regulatory modalities. It highlights nanobiosensors’ role in facilitating precise, real-time, and on-site detection of lung cancer through breath analysis, leading to improved patient outcomes, enhanced clinical management, and remote personalized monitoring. Additionally, integrating these biosensors with artificial intelligence, machine learning, Internet-of-things, bioinformatics, and omics technologies is discussed, providing insights into the prospects of intelligent nose-on-chip lung cancer sniffing nanobiosensors. Overall, this review consolidates knowledge on breathomic biosensor-based lung cancer screening, shedding light on its significance and potential applications in advancing state-of-the-art medical diagnostics to reduce the burden on hospitals and save human lives

    Indian Female Non-Business Graduate Students’ Experience: Understanding of Commercial Acumen Skills and Relevance to Employment

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    Indian female graduate students have to make choices among multiple aspects of their mental and physical abilities as science students and women in a society with different gender norms in the country. However, their experiences have not been well researched within the scholarship on commercial acumen. In this study, using the phenomenological approach, we explored the phenomenon of commercial acumen in the Indian female graduates studying science course meaning non-business course. The participants were diverse in terms of their status as students, current students and alumni. A small number of employers also participated in the study. A survey with open-ended and closed questions was used to evaluate the understanding and relevance of commercial acumen skills in the female graduate students, alumni, and employers. The findings of 127 responses indicated that the female graduate students perceived being on the non-business course as a limited experience of understanding of commercial acumen in the context of employability skills. This study recommends a reflection on the part of the educators to highlight the relevance and definition of commercial acumen during degree programmes

    High selectivity and sensitivity through nanoparticle sensors for cleanroom CO 2 detection

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    Clean room facilities are becoming more popular in both academic and industry settings, including low-and middle-income countries. This has led to an increased demand for cost-effective gas sensors to monitor air quality. Here we have developed a gas sensor using CoNiO2 nanoparticles through combustion method. The sensitivity and selectivity of the sensor towards CO2 were influenced by the structure of the nanoparticles, which were affected by the reducing agent (biofuels) used during synthesis. Among all reducing agents, urea found to yield highly crystalline and uniformly distributed CoNiO2 nanoparticles, which when developed into sensors showed high sensitivity and selectivity for the detection of CO2 gas in the presence of common interfering volatile organic compounds observed in cleanroom facilities including ammonia, formaldehyde, acetone, toluene, ethanol, isopropanol and methanol. In addition, the urea-mediated nanoparticle-based sensors exhibited room temperature operation, high stability, prompt response and recovery rates, and excellent reproducibility. Consequently, the synthesis approach to nanoparticle-based, energy efficient and affordable sensors represent a benchmark for CO2 sensing in cleanroom settings

    MXene-polymer hybrid composites for advanced energy storage: Insights into supercapacitors and batteries

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    Modern energy storage technologies are an active area of research because of their increasing demand in electronic gadgets, automotive, and electric vehicle applications. Supercapacitors and batteries substantially meet such needs due to their internal surface area, high surface-to-volume ratio, as well as high energy density and mobility of the two-dimensional (2D) materials. As a result, 2D materials—particularly MXene, comprised of carbide nitride and corresponding combinations—are ideal options for energy storage devices and applications. The present review focuses on MXene and corresponding composites—especially polymer-based. We also provide an overview of MXene and polymer harnessing methods, as well as corresponding, e.g., electrical and mechanical features. The use of MXene and polymeric materials in batteries and supercapacitors—as well as upcoming difficulties and results—are all covered in the context of energy storage applications
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