176 research outputs found
Green Synthesis and Characterization of Silver Nanoparticles Using Ocimum Tenuiflorum (Thulasi) Leaf Extract: Morphological Variations and Antibacterial Activity
Get PDFSilver nanoparticles (AgNPs) have garnered significant attention due to their unique electrical, optical, and biological properties, with applications spanning food, medicine, cosmetics, textiles, and water treatment. The growing demand for AgNPs necessitates environmentally friendly synthesis methods. This study focuses on the green synthesis of silver nanoparticles using Ocimum tenuiflorum (Thulasi) leaf extract as a reducing and stabilizing agent. The chemical constituents of Thulasi, such as oleanolic acid, ursolic acid, rosmarinic acid, and eugenol, contribute to its phytomedicinal properties, including antioxidant, antidiabetic, and anticancer activities. Thulasi extracts have been used to synthesize silver nanoflowers (AgNFs) and spherical silver nanoparticles under three deposition conditions: (1) mixing Thulasi extract with silver nitrate at ambient temperature, (2) stirring the mixture at elevated temperatures, and (3) prolonged blending of the extract and silver nitrate solution. The synthesized nanoparticles were characterized using scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), high-resolution TEM (HRTEM), selected area electron diffraction (SAED), and UV-Vis spectroscopy to analyze their structural and morphological variations. The study highlights the influence of synthesis conditions on nanoparticle shape, size, and properties, demonstrating the formation of AgNFs and spherical AgNPs. The antibacterial activity of the nanoparticles against pathogens like Staphylococcus aureus and Escherichia coli was further validated. These findings suggest that Thulasi-mediated AgNPs are promising for diverse applications, including antimicrobial agents in healthcare, food preservation, water purification, and beyond. This study underscores the significance of green synthesis in achieving sustainable and efficient nanoparticle production
A LITERARY REVIEW OFTHE CONTENTS OF THULASI ENNAI (PEDIATRIC SIDDHA FORMULATION) IN THE MANAGEMENT OF PEDIATRIC BRONCHIAL ASTHMA
Get PDFObjectives: The purpose of this review article is focused on the photochemical constituents and therapeutic potential of Thulasi Ennai to combat pediatric bronchial asthma.
Methods: The electronic databases such as Google Scholar, Medline/PubMed, Web of Science, Science Direct, Scopus and Directory of Open Access Journals (DOAJ), and reference lists have been looked to identify publications pertinent to the individual herbs of Thulasi Ennai.
Results: The pharmacological effects of the herbs found in Thulasi Ennai possess anti-asthmatic, anti-inflammatory, antibacterial, antiviral, and other pharmacological effects relevant to the management of bronchial asthma.
Conclusion: The present review concluded the safety of the Thulasi Ennai in preclinical studies. Further, clinical studies of Thulasi Ennai would need to be performed in humans to assess the efficacy of Thulasi Ennai
Data-driven models to evaluate root causes of energy performance gaps in office buildings
Get PDFDesigners develop high-performance office building designs with efficient envelopes, and Heating, Ventilation and Air Conditioning (HVAC) systems utilizing energy modeling tools with forecasted occupancy, plug load, and operational profiles as inputs. Their expected performance is often not met due to discrepancies between modeled and actual energy behaviors resulting in energy performance gaps. Energy performance gaps stemming out of design, construction and operation phases, pose serious challenges to the credibility of the design and engineering sectors in achieving predicted energy goals of the project.
Data-driven models, based on the actual building energy consumption data, offer an excellent means to evaluate significant root-causes of energy performance gaps; occupancy, envelope and HVAC operations. On the one hand, this supports the feedback loop to the design process from real-time building energy performance to predict energy performance accurately, choose optimal design solutions and, mitigate construction quality management issues in future designs. On the other hand, this provides perfect feedback to optimize energy performance in existing buildings.
This doctoral research presents data-driven modeling methodologies leveraging energy consumption data, advanced statistical methods, and expert domain knowledge, to assess the occupancy profiles, envelope thermal response, and HVAC systems’ performance, in office buildings. The study proposes data-driven techniques to generate evidence-based knowledge to designers about the real-time energy performance of their design decisions and required inputs for energy simulation models, that support the development of high-performance office designs in the future with minimal energy performance gaps.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-05-01The student, Thulasi Ram Khamma, accepted the attached license on 2020-04-10 at 22:26.The student, Thulasi Ram Khamma, submitted this Dissertation for approval on 2020-04-10 at 22:56.This Dissertation was approved for publication on 2020-04-15 at 11:37.DSpace SAF Submission Ingestion Package generated from Vireo submission #14960 on 2020-08-25 at 17:40:05Made available in DSpace on 2020-08-27T00:49:55Z (GMT). No. of bitstreams: 5
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AUT757564_Lay_Abstract – Supplemental material for Overall severities of gastrointestinal symptoms in pediatric outpatients with and without autism spectrum disorder
No full textSupplemental material, AUT757564_Lay_Abstract for Overall severities of gastrointestinal symptoms in pediatric outpatients with and without autism spectrum disorder by Venkatraman Thulasi, Robert A Steer, Iona M Monteiro and Xue Ming in Autism</p
An Improved Remote User Authentication Scheme With Smart Cards Using . . .
No full textRecently, Fang et al [24] proposed an improvement to Das et al's scheme [6] to prevent some weaknesses. Further, Chou et al [19] and Thulasi et al [23] pointed out some weakness of Das et al's scheme. However, the improvd scheme is still insecure to off-line attack. In thi
Biosynthesis Of Pha-Co-Phv By Alcaligenes Latus Mtcc 2309: Molecular And Biochemical Characterization
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
An Improved Remote User Authentication Scheme with Smart Cards using Bilinear Pairings
Get PDFRecently, Fang et al [24] proposed an improvement to Das et al\u27s scheme [6] to prevent some weaknesses. Further, Chou et al [19] and Thulasi et al [23] pointed out some weakness of Das et al\u27s scheme. However, the improvd scheme is still insecure to off-line attack.
In this paper, we propose an improvement of their schemes that provides the better security compared to the schemes previously published. Further, proposed scheme enables users to choose and change their password by their own choices without the help of a remote server
NON–DESCENT VAGINAL HYSTERECTOMY FOR BENIGN GYNAECOLOGICAL DISEASE – A PROSPECTIVE STUDY
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DDX3 interacts with Influenza A virus NS1 and NP proteins and exerts antiviral function through regulation of stress granule formation
No full textDDX3 belongs to the DEAD box RNA helicase family and is a multifunctional protein affecting the life cycle of a variety of viruses. However, its role in influenza virus infection is unknown. In this study, we explored the potential role of DDX3 in influenza virus life cycle and discovered that DDX3 is an antiviral protein. Since many host proteins affect virus life cycle by interacting with certain components of the viral machinery, we first verified whether DDX3 has any viral interaction partners. Immunoprecipitation studies revealed NS1 and NP as direct interaction partners of DDX3. Stress granules (SGs) are known to be antiviral and do form in influenza virus-infected cells expressing defective NS1 protein. Additionally, a recent study showed that DDX3 is an important SG-nucleating factor. We thus explored whether DDX3 plays a role in influenza virus infection through regulation of SGs. Our results showed that SGs were formed in infected cells upon infection with a mutant influenza virus lacking functional NS1 (del NS1) protein, and DDX3 colocalized with NP in SGs. We further determined that the DDX3 helicase domain did not interact with NS1 and NP; however, it was essential for DDX3 localization in virus-induced SGs. Knockdown of DDX3 resulted in impaired SG formation and led to increased virus titers. Taken together, our results identified DDX3 as an antiviral protein with a role in virus-induced SG formation
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