Political Discourse on the Platform of New Media: An Analysis into People's Quotient of Involvement

The current paper focuses on the exact levels of involvement of people in political discourse through the New Media. Technology has facilitated availability of new and varied forums of discussion. As soon as a new agenda is brought to the public glare with constant priming of the issue by the media, there ensues another race of panel discussions, and debates  which form the base of the much touted discussion forum of social network sites. A large amount of software is generated and people ‘share’, ‘comment’ or add their own perceptions to the issue at hand. The moot question remains about the level of involvement, in letter and spirit of the millions who throng the chat rooms. An attempt has been made to understand the exact association and involvement of the people, along with the observation on the kind of vocabulary and language that has replaced the traditional British approach to English language and the resultant evolution of the regional language. Keywords: Political discourse, New Media, social media, language

A survey of micro flora present in dental caries and it’s relation to enviornmental factors

Periodontal disease (PD) is a chronic inflammatory process that occurs in response to infection from bacteria in dental plaque. This may lead to dental caries that destroys the periodontal tissues causing teeth loss. It is also associated to systemic diseases.   In the present study an attempt has been made to find out the general bacterial fauna present in the dental caries. We also tried to find out the relationship between dental caries and age, sex, food habits, C-reactive protein, salivary pH, blood groups. Hundred dental carried subjects and 50 non carried subjects (aged between 23 to 50) volunteered for the study. The result shows a clear association of caries and salivary pH. Also a significant relation was found between the levels of C-reactive protein in saliva and dental caries. The results of study of bacterial fauna show that out of 80 different types of bacteria isolated 85% were gram positive and had a tendency to produce acid

Performance Evaluation of Maximal Ratio Receiver Combining Diversity with Prime Interleaver for Iterative IDMA Receiver

The antenna diversity mechanism is established as the well known mechanism for reduction of probability of occurrence of communication failures (outages) caused by fades. In receiver diversity, multiple antennas are employed at the receiver side in case of transmitter diversity, multiple antennas are the integral part of transmitter section.. In this paper, Maximal Ratio Receiver Combining (MRRC) diversity technique is evaluated to mitigate the effect of fading in IDMA scheme employing random interleaver and prime interleaver with single transmit two receiving antennas in low rate coded environment. For the performance evaluation, channel is assumed to be Rayleigh multipath channel with BPSK modulation. Simulation results demonstrate the significant improvement in BER performance of IDMA with maximal ratio receiver combining (MRRC) diversity along with prime interleaver and random interleaver and it has also been observed that BER performance of prime interleaver is similar to that of random interleaver with reduced bandwidth and memory requirement at transmitter and receiver side. Keywords: Multipath Fading, MRRC diversity, Multi user detection, Interleave-Division Multiple Access (IDMA) Scheme, Random Interleaver, Prime Interleave

Semantic Web Mining Review

This paper describes about Semantic Web Mining . The Purpose of this paper is to focus on how semantic web technologies can be used to mine the web , for relevant information extraction. Semantic Web Mining is about combining the two emerging research areas Semantic Web and Web Mining. Researchers work on improving the result off web mining by using semantic structure in the web and make use of Web Mining techniques for building the Semantic Web. In this manner both technologies are playing vital role to each other. Seman tic Web adds structure to the meaningful content of Web Pages ; hence information is given a well defined meaning; which is both human readable as well as machine - processable. This paper gives an overview of where the two areas meet today , and sketches ways of how a closer integration c ould be profitable

Different RDB to RDF mapping languages

Abstract:This document deals with the different techniques, mapping languages ,tools ,applications used for mapping Relational Databastes and Resource Description Framework.This document will serve as a guide for selecting a particular language for mapping .For the development of semantic web we need to map Relational Database to Resource Description Framework.Since most of the data on web is stored on RelationalDatabase and a conceptual gap is to be bridged between the Relational Database model and RDF to make this data available on web semantic.Many mapping languages and approaches have been found leading to the ongoing standardization of the World WideWeb Consortium(W3C) carried out in the RDB2RDF Working Group(WG).This paper would provide help and recommendations for selecting a mapping language

Drug review of Maha-Gandhahasthi Agada

Ayurveda is an ancient system of medicine in India. It deals with promoting health and preventing disease. The foundation of Ayurveda is based on eight branches i.e., Astanga Ayurveda & in those one of the eight divisions is Agadatantra (Toxicology). It deals with detailed description about the Visha i.e., its classification, diseases caused by it and different treatment principles. It deals with the treatment of various poisons. Agada is one of the remedies explained in the Chaturvimshati Upakarama (24 treatment procedure) as Aushadhi Prayoga. For the management of poisons various treatment procedures have been described, one among them is the use of formulations taken orally. Varied formulations are described of just herbal, animal origin and also herbo-mineral in origin. One among them is Maha-Gandhahasthi Agada that is mentioned in the treatment of Visha. It is a formulation of sixty drugs and the Bhavana Dravya is of animal origin drugs namely Go Pitta (cow’s bile). This is indicated in various conditions such as Pilla, Timir, Ratraandhyam (night blindness), Visham Jwar, Vishucika, etc

The Impact of Social Media on Agricultural Youth: Empowering the Next Generation in India

Agriculture has evolved significantly over the centuries, with the role of agricultural youth playing a crucial role in shaping the future. These young individuals, aged 18 to 35, represent energy, innovation, and potential in the sector. Engaging them in agriculture is vital for food security, economic development, and sustainable rural livelihoods Social media has become a powerful tool for agricultural youth, empowering them to disseminate knowledge and facilitate continuous learning. Platforms like YouTube, Instagram, and Facebook have become repositories of agricultural expertise, providing resources on diverse topics like sustainable farming practices and precision agriculture techniques. Online communities, like the "Young Farmers" subreddit, foster a culture of collaborative learning. Social media's networking potential brings agricultural youth closer together, enhancing opportunities for collaboration, knowledge exchange, and cross-border agricultural projects. Platforms like Twitter and LinkedIn enable young farmers and enthusiasts to connect with experts, researchers, and peers worldwide. Social media also serves as a cost-effective avenue for marketing and promotion, enabling farmers to showcase their produce and interact with potential customers. Social media has also played a pivotal role in raising awareness about agricultural issues and advocating for sustainable practices, climate resilience, and policies supporting smallholder farmers. The fusion of technology and agriculture has spurred innovation and entrepreneurial ventures, with platforms like YouTube attracting investors and collaborators. Examples like "Aerofarms" demonstrate how social media can amplify the impact of agricultural innovation

Quantification of phenolic compounds in Leucas mollissima Wall. ex Benth through HPTLC and validation of its antioxidant potential

694-699The present study deals with quantification of phenolic compounds by a simple, rapid, sensitive and selective high-performance thin-layer chromatographic (HPTLC) method and evaluation of its traditional claims. A chromatographic separation was performed by using a combination of toluene: ethyl acetate: formic acid (70:30:10, v/v/v) as a mobile phase. A densitometric absorption mode has been used for the estimation of catechin and vanillic acid by comparing the peak area against the standard at wavelength 220 nm. The amount of catechin and vanillic acid was found to be 0.15% and 0.45% dry weight basis. The developed method was validated and found to be specific, linear, precise and accurate as per the International Conference on Harmonization guidelines. Antioxidant potential was evaluated by five different models having variable mechanisms of action viz., total phenolic and flavonoid content, reducing power assay, DPPH assay, deoxyribose assay and total antioxidant potential. In vitro potential data reveals that the species has significant potential and may be used as an alternative plant in future for the treatment of diabetic condition. However, identified bioactive compounds (catechin and vanillic acid) may be used as a reference tool for proper recognition and confirmation of right plant material and monitoring of batch-to-batch consistency of finished herbal products using Leucas mollissima as an ingredient

Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial

Background: Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. However, treatment response varies widely across patients, and neither approach is universally effective. Identifying the most effective treatment for each patient is critical everywhere, but particularly in low-resource settings where access to mental health care is limited. The Optimizing Depression (OptimizeD) trial aims to explore whether different patients respond differently to behavioral activation therapy versus antidepressant medication and if providing each patient with their optimal treatment improves outcomes in primary care. Methods: We plan to randomize 1,500 patients with moderate to severe depression (defined as a Patient Health Questionnaire [PHQ-9] score ≥ 10) from primary healthcare settings in Bhopal, India, with equal allocation either to a culturally adapted behavioral activation therapy delivered by trained counselors (Healthy Activity Program) or to antidepressant medication (fluoxetine). Treatment will last 3 months, with remission (defined as PHQ-9 score < 5) at 3 months as the primary endpoint. Using machine learning, we will attempt to develop a precision treatment rule that leverages baseline clinical, psychological, cognitive, socioeconomic, and biological data to predict which treatment is most likely to achieve remission for each patient. Cost-effectiveness analysis will then assess whether the added costs of optimizing treatment are justified by improvements in remission, recovery, and cost savings at the health system and societal levels. Secondary and exploratory objectives include assessing the effectiveness of optimization in a range of secondary outcomes, evaluating treatment mechanisms, and exploring whether incorporating genetic and biological markers as predictors improves treatment optimization. Discussion: The OptimizeD trial will evaluate whether baseline information collected in routine care can inform optimal depression treatment selection and identify predictors of nonresponse to facilitate timely specialist referrals. Findings have the potential to enhance personalized depression care in primary health systems, particularly in low-resource settings, with broader implications for global public health. Trial registration: ClinicalTrials.gov (NCT05944926; registered July 2, 2023) and Clinical Trials Registry India (CTRI/2024/01/061932; registered January 29, 2024)

A Synthetic Uric Acid Analog Accelerates Cutaneous Wound Healing in Mice

Wound healing is a complex process involving intrinsic dermal and epidermal cells, and infiltrating macrophages and leukocytes. Excessive oxidative stress and associated inflammatory processes can impair wound healing, and antioxidants have been reported to improve wound healing in animal models and human subjects. Uric acid (UA) is an efficient free radical scavenger, but has a very low solubility and poor tissue penetrability. We recently developed novel UA analogs with increased solubility and excellent free radical-scavenging properties and demonstrated their ability to protect neural cells against oxidative damage. Here we show that the uric acid analog (6, 8 dithio-UA, but not equimolar concentrations of UA or 1, 7 dimethyl-UA) modified the behaviors of cultured vascular endothelial cells, keratinocytes and fibroblasts in ways consistent with enhancement of the wound healing functions of all three cell types. We further show that 6, 8 dithio-UA significantly accelerates the wound healing process when applied topically (once daily) to full-thickness wounds in mice. Levels of Cu/Zn superoxide dismutase were increased in wound tissue from mice treated with 6, 8 dithio-UA compared to vehicle-treated mice, suggesting that the UA analog enhances endogenous cellular antioxidant defenses. These results support an adverse role for oxidative stress in wound healing and tissue repair, and provide a rationale for the development of UA analogs in the treatment of wounds and for modulation of angiogenesis in other pathological conditions