139 research outputs found
MOLECULAR STUDIES AND PHARMACOLOGICAL ROLE OF SUTHERLANDIA FRUTESCENS
No full textAbstract: Sutherlandia (Fabaceae) are reported in literature to possess pharmacological activities. Species of Sutherlandia exhibit excellent economic medicinal value and have found in traditional medicine. It contains 11 species accepted species that are extensively used for the treatment of cancer, AIDS, diabetes and communicable disease in South Africa. During this article, literature searches performed using research project engine and database. (Google scholar, Pub Med, Science Direct.).Several phenolic compounds, flavonoids, alkaloids and triterpenoid glycoside derivatives contribute to the quantitative, chemo typic variation within and between the species as observed. The identification of those compounds using advanced chromatographic techniques (UPLCeMS) and chemo-metric analysis results in a far better understanding of the phytochemical variation of Sutherlandia which may aid in internal control of staples, phytomedicines and commercial herbal products.
Keywords: Ant diabetic, Anti-oxidant, Anti-cancer, Anti-inflammatory, Anti thrombotic, Anti –HIV, Analgesic activity, Anticonvulsant, Muscle Relaxant.
Title: MOLECULAR STUDIES AND PHARMACOLOGICAL ROLE OF SUTHERLANDIA FRUTESCENS
Author: E. Rajitha
International Journal of Novel Research in Healthcare and Nursing
ISSN 2394-7330
Vol. 9, Issue 3, September 2022 - December 2022
Page No: 217-220
Novelty Journals
Website: www.noveltyjournals.com
Published Date: 18-November-2022
DOI: https://doi.org/10.5281/zenodo.7336411
Paper Download Link (Source)
https://www.noveltyjournals.com/upload/paper/MOLECULAR%20STUDIES%20AND%20PHARMACOLOGICAL-18112022-4.pdfInternational Journal of Novel Research in Healthcare and Nursing, ISSN 2394-7330, Novelty Journals, Website: www.noveltyjournals.co
Digital preservation strategies for AV content
No full textThe mass digitisation of analogue archive holdings plus the transition to tapeless production for new content means AV archives inevitably face the prospect of file-based archiving solutions using IT storage technology. But what is the long-term Total Cost of Ownership (TCO) of these systems, which file formats should be used, what storage technologies make sense, what are the risks involved, what is the additional cost of managing these risks, and what new software approaches can be applied? These are all issues being explored by major broadcasters, national archives and technology specialists in the European PrestoPrime project and the UK AVATAR-m project
Digital Preservation Strategies: the cost of risk of loss
No full textThe mass digitization of analogue archive holdings and the transition to tapeless production for new content mean that audiovisual (AV) archives now face the prospect of file-based archiving solutions using information technology (IT) storage methods. However, many important factors in this process remain unknown. What is the long-term total cost of ownership (TCO) of these systems, which file formats should be used, what storage technologies make sense, what are the risks involved, what is the additional cost of managing these risks, and what new software approaches can be applied? These issues are being explored by major broadcasters, national archives, and technology specialists in the PrestoPrime and AVATAR-m projects
Reinforcement learning based traffic optimization at an intersection with GLOSA
No full textTraffic flow optimization at an intersection helps to maintain a smooth urban traffic flow. It can reduce travel time and emission. Regularly, new algorithms are introduced to control approaching vehicles and traffic light phases. Reinforcement learning and traffic optimization is a novel combination that is used by the research community. This thesis suggests a methodology to reduce travel time and emission of vehicles for a specific intersection design. Here the author provides a clear solution by considering the driving route of approaching the vehicle to the intersection. By using reinforcement learning and route information, this research suggests a vehicle ordering mechanism in order to improve the throughput of the intersection. Before proposing the solution, the author gives a thorough research review of previous studies. Various findings regarding various Reinforcement learning algorithms and how it has used to traffic optimization are explained in Literature review. Further, the author is using GLOSA as a baseline to evaluate the new solution. Several types of GLOSA variations are discussed in this report. A new approach, which can be seen as an extension of the existing GLOSA algorithms, is described in the concept chapter. A deep Q network approach and a rule-based policy are introduced as the solution. The proposed solution was implemented and evaluated. The author was able to achieve promising results from a rule-based policy approach. Further, the issues related to both approaches were discussed in detail and solutions were given to further improve the proposed solutions
Comparative Study of Sentiment Analysis for Multi-Sourced Social Media Platforms
No full textThere is a vast amount of data generated every second due to the rapidly
growing technology in the current world. This area of research attempts to
determine the feelings or opinions of people on social media posts. The dataset
we used was a multi-source dataset from the comment section of various social
networking sites like Twitter, Reddit, etc. Natural Language Processing
Techniques were employed to perform sentiment analysis on the obtained dataset.
In this paper, we provide a comparative analysis using techniques of
lexicon-based, machine learning and deep learning approaches. The Machine
Learning algorithm used in this work is Naive Bayes, the Lexicon-based approach
used in this work is TextBlob, and the deep-learning algorithm used in this
work is LSTM
E-Resource Management and Management Issues and Challenges
No full textE-resources are inevitable, technology has grown and libraries are also adopting the technologies although adopting have many challenges to the library professionals. Whenever something new comes they need to update themselves. A study investigated E-Resources management and management issues of Indian library professional perspectives. For this study, data was collected from various academic institutes/university libraries in India. It includes institutes of national importance, central, state, deemed and private universities. The study finds that the majority of the libraries subscribed to E-journals and E-books, administration related challenges faced by LIS professionals. The t-test results revealed a lack of professional skills is the reason for issues and challenges of Library management
Virtue Ethics For Ethically Tunable Robotic Assistants
No full textThe common consensus is that robots designed to work alongside or serve humans must adhere to the ethical standards of their operational environment. To achieve this, several methods based on established ethical theories have been suggested. Nonetheless, numerous empirical studies show that the ethical requirements of the real world are very diverse and can change rapidly from region to region. This eliminates the idea of a universal robot that can fit into any ethical context. However, creating customised robots for each deployment, using existing techniques is challenging. This paper presents a way to overcome this challenge by introducing a virtue ethics inspired computational method that enables character-based tuning of robots to accommodate the specific ethical needs of an environment. Using a simulated elder-care environment, we illustrate how tuning can be used to change the behaviour of a robot that interacts with an elderly resident in an ambient-assisted environment. Further, we assess the robot\u27s responses by consulting ethicists to identify potential shortcomings.Accepted for EUMAS2
AGOMELATINE ETHOSOMES FOR ENHANCED TRANSDERMAL DRUG DELIVERY
No full textObjective: The current study aimed to prepare and optimize Agomelatine (AMN) ethosomes for enhanced transdermal drug delivery.
Methods: In this study cold method was employed to manufacture the AMN-loaded ethosomes with dissimilar quantities of Phosphatidyl Choline (PC): Cholesterol: Ethanol. Transmission Electron Microscopy (TEM) was employed to evaluate the appearance of the formed ethosomes. Other formulation parameters like vesicle size and zeta potential, polydispersity index, transition temperature, and entrapment efficiency were also investigated.
Results: The microscopy results showed that AMN ethosomes have a smooth surface. It was discovered that the AMN-3 formulation of transdermal ethosomes had 92.15±1.3 entrapment efficiency with good vesicle diameter. The release of agomelatine adhered to the zero-order release model. The polydispersity Index (PI) and zeta potential of the optimized formulation were found to be 0.209 and-14.09±1.95 mV, respectively. The maximum flux for the ethosome formulation (AMN-3) was 34.29 µg. h/cm2. A 10.71 fold increment was observed in the bioavailability of optimized formulation than control (oral suspension). A higher drug concentration in the blood suggested better systemic absorption of ethosomes. The optimized formula has a Tmax of 4.0±0.08h and 73.38±1.37 of Cmax. The AMN ethosomes were found to be more stable when stored at 4 °C.
Conclusion: The current study suggests that ethosomal vesicles may improve transdermal dispersion without causing skin irritation. Agomelatine-loaded ethosome has the potential to be one of the most important transdermal application techniques for the treatment of depression
CURCUMIN ETHOSOMES FOR ENHANCED TRANSDERMAL DRUG DELIVERY: FORMULATION, CHARACTERIZATION, IN VIVO AND EX VIVO STUDIES
No full textObjectives: The current study aimed to prepare and optimize curcumin (CM) ethosomal gel for enhanced transdermal drug delivery to overcome the poor permeability barrier.
Methods: The cold method was employed to manufacture the CM-loaded ethosomes with varying quantities of soya phosphatidylcholine, propylene glycol (PG), and ethanol. Transmission electron microscopy was employed to evaluate the appearance of the formed ethosomes. Formulation parameters such as vesicle size and zeta potential, polydispersity index (PI), transition temperature, entrapment efficiency (EE), in vitro drug release, release kinetics, ex vivo studies on rat skin, in vivo pharmacokinetics, and stability were performed.
Results: The microscopy results showed that CM ethosomes have a smooth surface. The release of CM adhered to the zero-order release model. The optimized ethosomal gel formulation’s (CM5) zeta potential and PI were determined to be −7.28±1.62 mV and 0.208, respectively, and it has 90.8±1.8% EE with a vesicle size of 437±2 nm. The maximum flux for the ethosome formulation (CM5) was 23.13±0.91 μg.h/cm2. The bioavailability of the optimized formulation was 7.61 times higher than that of the control (oral suspension). The stability study revealed no significant change when stored at 4°C.
Conclusion: Based on current research, ethosomal vesicles may enhance transdermal dispersion without irritating the skin. Ethosomes infused with CM show significant potential for transdermal administration for the management of skin diseases
- …
