IJAMSR - INTERNATIONAL JOURNAL OF ADVANCED MULTIDISCIPLINARY SCIENTIFIC RESEARCH

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Past Issues

Contribution of Project-Based Blended Learning (PjB2L) Learning Model to Technoprenuership Ability in Higher Education

Hariyono, Vera Septi Andrini

CrossRef DOI : 10.31426/ijamsr.2020.3.4.3211

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.4.3211

Download PDF Google Search Abstract

Technology plays an important role in various elements of life. The purpose of this research is to find out the application of technology in the form of learning models and its effectiveness in developing the ability of technology-based entrepreneurs or known as technopreneurship. The research sample is 151 students. The study uses quantitative descriptive correlational type method. Data collection techniques use documentation, interviews, and questionnaires. Data analysis uses correlation test.

CERAMIC VENEERS -CASE REPORT

Dr. Swati Arora Verma, Dr. Neha Milani

CrossRef DOI : 10.31426/ijamsr.2020.3.4.3212

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.4.3212

Download PDF Google Search Abstract

Due to their lifelike appearance & longevity, ceramic veneers have become a popular restorative procedure for anterior teeth. However, it is a multi-sitting process and often there are choices that the clinician faces at each step. Along with that, there are certain best practices and points to be taken care of during the treatment. This paper aims to describe the step-by-step procedure followed in one such treatment of a 32-year-old lady who was unhappy with the malalignment and discoloration of her teeth. Ceramic veneers provided an ideal solution to restore her smile to her satisfaction. Based on the clinical findings, it can be concluded that each step from diagnosis to treatment planning to mock-ups to final cementation are equally critical for the success of the procedure and ensuring patient satisfaction.â€ƒ

Review On Graphene Quantum Dots: A Bioimaging Probe

Payel Mukherjee, Arindam Chakraborty, Dr. Manas Chakraborty

CrossRef DOI : 10.31426/ijamsr.2020.3.4.3213

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.4.3213

Download PDF Google Search Abstract

Graphene quantum dots (GQDS) are nano-hybrid materials, they have gained tremendous interest in biomedical field, especially in Bioimaging due to their unique, stable and tunable photoluminescence, outstanding biocompatibility, low cytotoxicity, low cost, tiny sizes, high stability and exceptional physicochemical characteristics. In this review we are aiming to provide the insights of evolving development of the material's synthetic, characteristics and most importantly Bioimaging properties. We are hoping that this could be beneficial to some extent.

AI and the Enhancement of Cognitive Functions

Shivya Saxena

CrossRef DOI : 10.31426/ijamsr.2020.3.4.3214

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.4.3214

Download PDF Google Search Abstract

Artificial Intelligence (AI) has transformed numerous sectors, including healthcare, finance, and transportation, through its advanced data processing and decision-making capabilities. Recently, AI's potential to enhance cognitive functions, which are essential for daily activities and overall quality of life, has drawn considerable interest from researchers and practitioners. This paper explores AI's role in cognitive enhancement amidst rising concerns of cognitive decline due to aging and neurological disorders. AI systems, especially those using machine learning and neural networks, can analyze extensive datasets to identify patterns and predict outcomes accurately. These capabilities are being utilized to develop tools and interventions aimed at maintaining and improving cognitive health. AI-driven cognitive training programs, brain-computer interfaces (BCIs), and virtual reality (VR) environments are among the technologies being investigated for their potential to stimulate neural plasticity and enhance cognitive functions. However, integrating AI into cognitive enhancement presents challenges, including ethical considerations like data privacy, potential over-reliance on AI, and ensuring equitable access to these technologies. Rigorous validation through clinical trials and long-term studies is also necessary to confirm the safety and effectiveness of AI-based interventions. This paper discusses current AI applications in cognitive training, rehabilitation, and neural stimulation, addressing both the benefits and challenges, and proposes future directions for research to fully realize AI's potential in enhancing cognitive health and wellbeing.

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