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Medicinal Exploitation of Coriandrum sativum L.
Coriandrum sativum L. is a potential herb that is commonly known as coriander or Chinese parsley is being possessed to have various medicinal properties. Almost all the parts of the herb have been examined for its effectiveness in various human diseases such as migraine, hypertension and diabetes specifically. The diseases considered for the current review are migraine, hypertension and diabetes, which are highly prevalent as well as major co-morbidity for other clinical conditions. The extracts of different parts of C. sativum have been identified to have roles in treating and managing migraine, hypertension and diabetes. The genetic inter-relationship of C. sativum with the diseases are also being discussed in this review. The literature surf was done in platforms for the journals life science and medicinal research using the keywords C. sativum, herbal medicine, anti-diabetic, anti-hypertensive, migraine, genetics etc. The results obtained through the clinical trials conducted by various researchers globally were satisfactorily acceptable in treating these diseases along with some other diseases to a certain extent, whereas the genetic studies were insignificant. Henceforth, the current literature review highlights the medicinal exploitation of C. sativum in accordance with the treatment and management of migraine, hypertension and diabetes. 2022 Visagaa Publishing House. -
Medical waste treatment device /
Patent Number: 354500-001, Applicant: Ila Anand. -
Medical waste treatment device /
Patent Number: 354500-001, Applicant: Ila Anand. -
Medical waste treatment device /
Patent Number: 354500-001, Applicant: Ila Anand. -
Medical Ultrasound Image Segmentation Using U-Net Architecture
This research article discusses the implementation aspects of a Deep Learning architecture based on U-Net for medical image segmentation. A base model of the U-Net architecture is extended and experimented. Unlike the existing model, the input images are enhanced by applying a Non-Local Means filter optimized using a metaheuristic Grey wolf optimization method. Further, the model parameters are modified to achieve better performance. Tests were performed using two benchmark B-mode Ultrasound image datasets of 200 Breast lesion images and 504 Skeletal images. Experimental results demonstrate that the modifications resulted in more accurate segmentation. The performance of the modified implementation is compared with the base model and a Bidirectional Convolutional LSTM architecture. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Medical Tourism in South India - A Relative Study of the Principal participants in hospital and hospitality industry in South India
International Journal of Management, IT and Engineering Vol.3, ISSUE 1, pp. 613-626 ISSN No. 2249-0558 -
Medical plugs to track health using artificial intelligence and IOT /
Patent Number: 341063-001, Applicant: Dr. T Padmapriya. -
Medical negligence: A lego-economic analysis /
Golden Research Thoughts Vol.2,Issue 6, pp.1-6 ISSN No. 2231-5063 -
Medical negligence and consumer rights: An analysis /
Law Mantra Journal, Vol.1, Issue 10, pp.500-509, ISSN No: 2321-6417. -
Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm
Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. In this paper, the dual encryption procedure is utilized to encrypt the medical images. Initially Blowfish Encryption is considered and then signcryption algorithm is utilized to confirm the encryption model. After that, the Opposition based Flower Pollination (OFP) is utilized to upgrade the private and public keys. The performance of the proposed strategy is evaluated using performance measures such as Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC). 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Medical image classification using MRI: An investigation
The main objective of the paper is to review the performance of various machine learning classification technique currently used for magnetic resonance imaging. The prerequisite for the best classification technique is the main drive for the paper. In magnetic resonance imaging, detection of various diseases might be simple but the physicians need quantification for further treatment. So, the machine learning along with digital image processing aids for the diagnosis of the diseases and synergizes between the computer and the radiologist. The review of machine learning classification based on the support vector machine, discrete wavelet transform, artificial neural network, and principal component analysis reveals that discrete wavelet transform combined with other highly used method like PCA, ANN, etc., will bring high accuracy rate of 100%. The hybrid technique provides the second opinion to the radiologist on taking the decision. Springer Nature Switzerland AG 2019. -
Medical aptitude and its assessment
The assessment of the suitability of an individual for the profession of medical science is carried out worldwide on the basis of several yardsticks. While a few methods assess domain knowledge of sciences, others focus on evaluating the cognitive aptitude skills of the candidate, while few others assess communicative skills. Though it has been considered that the possession of an aptitude for the profession is a prerequisite, considering its strenuous demands from the candidate, a comprehensive assessment of these areas under the construct of medical aptitude has not been analysed so far, though medical aptitude has been socially defined. This article attempts to develop a comprehensive construct to Medical aptitude, meant for the pre-medical student, which has been encapsulated with respect to the areas of its assessment. We did an extensive survey of the literature pertaining to the mode of selection of students towards medical profession and analysed their areas of assessments for admittance. This enabled to identify similarities in the areas of assessment which were then classified under several domains of assessment. Special reference to the keywords involving Aptitude and Medical Aptitude was made. We analysed the definitions to the construct of aptitude from the literature with respect to its relevance in the profession of medical science to be possessed by the premedical aspirantin context. From this, a new construct of medical aptitude was formulated incorporating the existing construct of medical aptitude. Medical aptitude is a comprehensive construct that encompasses the dimensions of a consistent core, a peripheral content and the support of a scaffold. Each of these dimensions have their importance and distinct objective in being assessed in the pre-medical student. A perfect intertwining of these 3 dimensions can prove beneficial in assessing individuals to be fit for the profession of medical science. The National Medical Journal of India 2018. -
Mediation of perceived innovation charaterstics on ERP adoption in industrial cluster /
International Journal Of Innovation And Technology Management, Vol.13, Issue 3, ISSN: 0219-8770. -
Mediation of Perceived Innovation Characteristics on ERP Adoption in Industrial Cluster
An industrial cluster, due to its close network of institutions, will experience various pressures that force the industry to have a homogeneous structure, norms, and practices. These pressures can also lead to adoption of innovative technologies. Enterprise Resource Planning (ERP) is perceived as a sophisticated technology and diffuses across the cluster by its innovative characteristics. However, firms in the industrial cluster will have different rate of adoption of technologies due to the varying level of knowledge spillover and a heterogeneous absorptive capacity. This study empirically tests how absorptive capacity mediates the institutional forces and the perceived innovation characteristics towards the ERP adoption in an industrial cluster. Mediation effect and the model validity are tested using SEM technique. The results show that absorptive capacity complements the forces of institutional pressure and the perceived innovation characteristics on ERP adoption. The implications of managing the absorptive capacity for better ERP adoption are discussed. 2016 World Scientific Publishing Company. -
Mediating role of teacher confidence between support system and satisfaction
Online education in India has witnessed a shift due to the ongoing pandemic, compelling the Indian education sector to adapt to new advancements. The study's main purpose has been to find the relationship between the support systems of institutions, teachers support and students, leading to instructors' satisfaction. It further analyses the mediating role of educators' confidence in linking support systems and leading to teachers' satisfaction. The sample for our research consisted of 129 teachers from Higher Educational Institutions (HEIs). We found that there is a significant relationship between support systems and teacher satisfaction. Among the three support systems, institutions support had a significant influence. On the other hand, teachers' confidence had a partially mediating effect on their satisfaction, even though they could translate to higher effectiveness in online teaching. Further, this study inferred that educational institutions are quick to adapt to online teaching due to the ongoing pandemic. Copyright 2022 Inderscience Enterprises Ltd. -
Mediating role of self-concept on character strengths and well-being among adolescents with specific learning disorder in India
Background: Adolescents with Specific Learning Disorder (SLD) are at higher risk of academic underachievement, stigmatization, and mental health issues. However, the complete elimination of disorder-related deficits and external challenges is an impracticable solution for enhancing their well-being. Aim: The study adopts a strength-based approach to understand the role of an innate factor, i.e., self-concept, in the association between character strengths and well-being of adolescents with SLD. Methods: A correlational research design following a mediation analysis was adopted to examine the association between the study variables on a sample of 115 adolescents with SLD from India. Results: Self-concept functioned as a partial mediator between the life-satisfaction construct of well-being and six character strengths: Appreciation of beauty and excellence, Perseverance, Judgment, Leadership, Perspective, and Zest. Gender differences were identified with regard to the study variables. Conclusions and implications: Self-concept of adolescents with SLD could partly contribute to enhanced character strengths awareness to protect well-being. Further, the crucial role of internal factors like self-concept and character strengths in improving the well-being of this population was highlighted. Thereby encouraging future research on SLD to adopt approaches that focus on innate strengths rather than deficits and external sources of well-being. 2022 Elsevier Ltd -
Mediating Role of Financial Literacy in Relationship between Financial Stress & Financial Resilience among MSME in Bangalore
The outbreak of COVID-19 virus brought down the economies of various countries and the livelihoods of the public. World economy witnessed a lower amount of the economic growth. Indian economy also fared poor during the pandemic. The pandemic generated unemployment, job loss, pay cut, and closure of many business organizations in India. Unemployment and low income caused psychological stress and financial stress among the public and among the businessmen especially micro, and small entrepreneurs (MSES). The Indian economy is bouncing back to normalcy. MSES exhibit stronger resilience during the hard time. The study is interested to measure and analyse the determinants that promote financial resilience among the MSES in India. Based on existing literature, financial literacy is chosen to study the nexus between financial stress and financial resilience of the entrepreneurs. 2023, Indian Institute of Finance. All rights reserved. -
MEDIATING EFFECT OF PERCEPTION OF POLITICS BETWEEN DISTRIBUTIVE JUSTICE AND TURNOVER INTENTION OF EMPLOYEES IN INFORMATION TECHNOLOGY ORGANIZATIONS
During the past few decades, organizational researchers have increasingly focused their attention on the subjective work issues and their impact on various work related outcomes. One of the most prominently studied factor perception of organizational politics has received much recent conceptual and empirical attention. Political work environment are responsible for a variety of harmful work consequences like higher stress, lower job satisfaction and commitment, diminished worker productivity and higher rate of turnover (Ferris et.al 1989, 2002; Kacmar and Baron, 1999) Some researchers focused on the distributive justice aspect as predictors of important outcomes here they pursued studies from the opposite perspective while they examined Perception of politics (Ferris and Kacmar, 1992; Kacmar , Ferris, 1991). Thus research has demonstrated the independent influences of politics, distributive justice, on turnover intention, job satisfaction etc (Cropanzano et.al 1992; Mcfarlin and Sweeney, 1992). Very few studies attempted in finding out how these elements of fairness influence each other in predicting outcomes. In the current study, the mediating effect of perception of politics between distributive justice and turnover intentions has been examined. This study extends the previous research efforts and fills a gap in the reviewed literature by simultaneously investigating the mediation effect of perception of politics between distributive justice and turnover intention of employees in Information technology organizations. 343 employees from the top 10 IT organization as listed by NAASCOM were involved in the present study. The purposive sampling technique was adopted. Employees with minimum 2 years of experience in the organization was chosen as respondents. The major objectives of the study are, to measure employees perception of politics and employees perception of distributive justice; to study the turnover intention of IT employees; to find if perception of politics mediates the relationship between distributive justice and turnover intentions; to find out the significant effect of distributive justice on the dimensions of perception of politics and finally to find out the difference in perception of politics and distributive justice across demographics. Hypothesis was framed in accordance to the objectives stated. The tools of measurement adopted were (i) Perception of organisational politics were measured with the fifteen item Perception of politics scale (POPS), developed by Kacmar and Carlson (1997).( ii) Five item Perceptions of distributive justice were measured with the Distributive Justice Index, developed by Price and Mueller (1986). (iii) Turnover intention was measured using a categorical item developed by Dilys Robinson, Sarah Perryman, and Sue Hayday, (2004). The Crobachs alpha for perception of politics dimensions and distributive justice were above 0.90. The level of perception of politics and distributive justice was found to be moderate. In terms of the logistic regression analysis performed, it was found that there was partial mediation of perception of politics between distributive justice and turnover intention. The result indicated that, even though the employees perceived their work environment to be political, they will have the intention to stay back, as long as the fairness in distribution of rewards exists. Perception of politics which always carried a negative label showed partial mediation in the relationship between distributive justice and turnover intentions, where it explained only 13.9% of the intention to leave factor. This means, even when the environment is political, employees will stay back in the organization when they experience fairness in distribution of rewards. Keywords: Information technology, Organizational behaviour, Human resource management, Perception of politics, Mediation, Distributive justice, Turnover intention. -
Mediating Effect of Digital Literacy Between Attitude Towards AI and Job Insecurity Among HR Professionals
As businesses continue to incorporate technologies that use AI into a variety of business processes, the connection between employee attitudes towards AI and job insecurity has attracted some attention. However, a critical aspect that has not been covered in the existing literature is the potential mediating role of digital literacy in shaping this relationship. This study investigates the interplay between attitudes towards AI, job insecurity, and digital literacy among HR employees through an online survey. Utilizing established scales, including Attitudes Towards AI (ATAI), Job Insecurity, and Digital Literacy, significant results reveal a substantial mediated relationship. Finding also states a significant impact of attitudes towards AI on job insecurity. Acceptance AI attitude indirectly reduce job insecurity through heightened digital literacy. Also, the pivotal role of digital literacy as a mediator, emphasizing its importance in alleviating job insecurity concerns amidst AI integration. These findings offer practical insights for organizations seeking to foster employee confidence in AI-rich workplaces. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Mediating Effect of Brand Relationship Quality on Relational Bonds and Online Grocery Retailer Loyalty
The current study aims to identify how brand relationship quality mediates the relationship between different online relational bonds, and attitudinal and behavioral loyalty. A total of 316 valid questionnaires from respondents aged 2035 were collected using quota sampling from five different clusters in Bangalore, India. Hypotheses were tested using structural equation modeling. This study finds that convenience bonds and structural bond have no impact on brand trust and attitudinal and behavioral loyalty. All five relational bonds namely, convenience, structural, financial, empathy, and social bonds are seen to influence their sense of community and attitudinal attachment. Sense of community is the primary influencer of brand loyalty. This study reveals that brand dimensions of brand quality relationship mediate the effect of financial, empathy, and social bonds on attitudinal and behavioral loyalty. It also illustrates the role of different relational bonds as a stimulus, and relationship quality dimensions as an organism that lead to improved customer loyalty in online grocery retailing. Managers of online grocery stores can consider these new relational bonds, along with the traditional bonds, to develop positive emotions and achieve competitive advantage. 2021 Taylor & Francis Group, LLC.