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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 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. -
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. -
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. -
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. -
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 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 negligence and consumer rights: An analysis /
Law Mantra Journal, Vol.1, Issue 10, pp.500-509, ISSN No: 2321-6417. -
Medical negligence: A lego-economic analysis /
Golden Research Thoughts Vol.2,Issue 6, pp.1-6 ISSN No. 2231-5063 -
Medical plugs to track health using artificial intelligence and IOT /
Patent Number: 341063-001, Applicant: Dr. T Padmapriya. -
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 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 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. -
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. -
Medicinal plants, phytochemicals, and herbs to combat viral pathogens including sars-cov-2
The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome corona virus-2 (SARS-CoV-2), is the most important health issue, internationally. With no specific and effective antiviral therapy for COVID-19, new or repurposed antiviral are urgently needed. Phytochemicals pose a ray of hope for human health during this pandemic, and a great deal of research is concentrated on it. Phytochemicals have been used as antiviral agents against several viruses since they could inhibit several viruses via different mechanisms of direct inhibition either at the viral entry point or the replication stages and via immunomodulation potentials. Recent evidence also suggests that some plants and its components have shown promising antiviral properties against SARS-CoV-2. This review summarizes certain phytochemical agents along with their mode of actions and potential antiviral activities against important viral pathogens. A special focus has been given on medicinal plants and their extracts as well as herbs which have shown promising results to combat SARS-CoV-2 infection and can be useful in treating patients with COVID-19 as alternatives for treatment under phytotherapy approaches during this devastating pandemic situation. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Medicinal potential of the Cape-pondweed family (Aponogetonaceae): A review
Aponogeton (Aponogetonaceae) is an aquatic genus comprising 60 species distributed in tropical and subtropical regions of the Old World. The species of the genus are traditionally used to treat a wide variety of diseases including cuts and wounds, stomach disorders and reviving digestive system, fungal infections, cough, tuberculosis, acne, cancer, diarrhea, dysentery, jaundice, snake bite, etc. A total of 50 compounds have been isolated from Aponogeton species. Essential oils, fatty acids and waxes, ester, quinones, steroids, terpenes and terpenoids, phenols and phenolics are the important compounds present in this genus. In this review, we provide an overview of the taxonomy, molecular phylogeny, biogeography, traditional medicinal uses, phytochemistry, pharmacological activities and tissue culture of Aponogeton. Other aspects such as the use of some species as model plant for studying programmed cell death (PCD) are also discussed. This review on the medicinal potential of the genus aims at attracting the attention of biologists to this phytochemically less explored plant group. The knowledge gaps in different areas of research and future perspectives are also discussed. 2022 SAAB -
MediCrypt: A Model with Symmetric Encryption for Blockchain Enabled Healthcare Data Protection
In the dynamic field of medicine, combining blockchain technology and data security becomes a vital strategy to solve the problem of protecting sensitive medical data. This study presents a new way to improve the security and privacy of medical data, using MediCrypt as an example of two- way encryption. Doctors initially used algorithms like AES or Blowfish to retrieve medical data. Smart contracts on the Ethereum-based blockchain introduce a layer of protection, combining SHA-256 with symmetric encryption technology. The multi-level transmission model includes encryption time, encryption time, elapsed time, and encryption size. Functionality in this model involves managing patient records (EHR), counterfeit drugs, drug reviews, clinical outcomes, and consent for all care areas. As shown in the methodology, the user ecosystem facilitates the exchange of information by defining the roles and responsibilities of doctors/pharmacists, administrators, and patients. The study shows the deployment of the MediCrypt model in three distinct stages. Distinct comparison of encryption time is done for different encryption algorithms. Also, parameters of MediCrypt model is compared with existing healthcare based blockchain models. 2024 IEEE. -
Melamine derived N-doped Carbon nanotubes: A durable catalyst support for Pt nanoparticles in proton exchange membrane fuel cell
A cost-effective thermal pyrolysis route was adopted to synthesize N-doped carbon nanotube (NCNT) in a single step with the aid of melamine (carbon and nitrogen source) and cobalt catalyzed growth for the formation of N-doped carbon nanotubes. The NCNT was acid treated (fNCNT) to remove the metallic Co from the CNT which was elucidated using X-ray diffraction. Even though these noble metal-free materials are explored as Oxygen reduction reaction (ORR) electrocatalyst, for it to be employed in actual fuel cell the cathode requires noble metals such as Platinum (Pt) nanoparticles to improve its sluggish kinetics. Thus, this study is mainly focused on employing fNCNT as catalyst support in PEMFC, wherein the electrocatalyst was synthesized using microwave-assisted polyol method to decorate Pt nanoparticles on fNCNT, demonstrating its excellent durability of 32% electrochemical active surface area (ECSA) loss when subjected to standard protocols, and full cell performance of hybrid ((Pt/fNCNT) + CB) 412 mW cm?2 (better than commercial Pt/C) when deployed as electrocatalyst for ORR in Polymer electrolyte membrane (PEM) fuel cell, thus our findings open new avenues to explore, design and develop N-doped carbon nanotubes as durable catalyst for fuel cells. Graphical abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Nature B.V. 2024.