Online ISSN: 2515-8260

Keywords : etc

Analysing Metallic Nanoparticles in Plant Extract

Yogeshwer R Ramasane, Sanjeev M. Reddy .

European Journal of Molecular & Clinical Medicine, 2023, Volume 10, Issue 2, Pages 625-633

Metal nanoparticles (MNPs) Medical imaging, bioengineering, photoelectricity, antibacterial, anticancer, and catalysis are just a few of the many areas where their unique physical and chemical properties have been extensively utilized. In the conventional MNP synthesis method, toxic chemicals are typically used as reducing and stabilizing agents. This method is extremely harmful to the environment and takes a long time. Because of this, environmentally friendly MNPs synthesis has recently received a lot of attention. Utilizing plant extracts as reductants and stabilizers enables MNP synthesis to be simple, cost-effective, and long-lasting. In addition, unlike their conventional counterparts, the as-synthesized MNPs are uniform in size, less toxic, and more stable. Green preparation methods are becoming an increasingly important focus in MNPs synthesis research. This systematic review provides a summary of the most recent developments in the utilization of plant extracts as reductants and stabilizers in the green synthesis of MNPs. The potential applications of MNPs made from plant extracts have also been studied in greater detail.

Zen Garden Tradition and Influence

Dr. Purva Mange, Akshay Revekar, Priyanka Bhoyar, Prabhkirat Walia

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 8, Pages 2683-2693

The objective of this paper is to draw a comparative analysis between the traditional Zen gardens that originated in Japan and China for the modern and transitional form of Zen gardens adopted in India. The author studied the historical origins of Japanese Zen gardens in eastern Culture. The paper discusses the change in the vocabulary of traditional Japanese Zen gardens concerning materials and designs. Leading to a division of study into two parts by studying the traditional Japanese ZEN gardens and changes in material and designs. The comparative study is done by considering the Zen gardens in Three countries – Japan, China, and India 


European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 986-996

In general computing theory, Array is one of the data structures to hold a group of same data type elements.  Static array holds the underlying elements in an initial allocated memory space.  In contrast, dynamic array grows the memory allocation automatically and dynamically based on the insertion request volume.  Our research work is to leverage dynamic memory overlay array mechanism in Enterprise Data Hub.  It is continuation of our earlier work on Hybrid LRU Algorithm, which depicts about the experimental advantage of execution time optimization and efficient page/cache hit ratio, using hybrid Least Recently Used algorithm with priority mechanism.  With the ability to change the allocated space dynamically using memory overlay concept, Dynamic array improves the storage scalability and faster execution.


Javkharov Oybek Zulfiqorovich; Amirov Shavkat Kuzibaevich; Sobirov Ilhom Abdullaevich; Karimov Sherali Allaberdievich; Esonov Hasanboy Abdumutallibovich

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1959-1965

The experiment examined the effect of the use of Introvit A + WS-amino acidvitamin
nutrient mixture in the diet of dairy cows on the efficiency of milk production. The use of
Introvit A + WS-amino acid-vitamin in the diet resulted in an increase in milk productivity due to
balancing the protein-energy ratio in cows, an increase in milk fat and protein content, and a 5%
reduction in feed consumption due to efficient cow nutrition.


Harikumar Pallathadka; Laxmi Kirana Pallathadka

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 8278-8287

The art of communication through the gift of language is an exclusive prerogative of humans.
Language bestows people with the power to organizing, planning, shaping, and controlling
other human beings at various levels starting from child-parent interactions to propaganda on
radio and television advertising. Our societal participation requires us to recognize and reflect
the symbols and sounds that indicate our ideas and thoughts, which is crucial. There are
numerous languages in the world. Thus, human beings share their skills for harnessing the
creativity within them to enhance their living by invoking their ability to acquire several
languages. They strive to understand also the languages, which are unknown to them.
Neurological factors in language acquisition and retention play an essential role in learning
different languages. Language acquisition and retention exist in the Arab population as well.
The Arab people have observed an optimistic and rapid variation in the utilization of the
English language in their education and business. This adoption of the English language has
made them literate and empowered them. Problems are still prevailing among Arab learners,
as they struggle to comprehend English and have difficulties in expressing themselves through
English. They are acquiring other languages and retaining their usage in learning, as the
second language becomes strenuous due to lack of motivation. This research paper analyzes
and contextualizes the problems associated with understanding, learning and acquisition of
English as a second language, specifically among Arab learners.

Anti-Corruption Agency and Anti-Corruption Examination of normative legal acts: Compar-ative Analysis

Ulugbek Aloev; Qunduz Rozimova

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 6364-6368

This article analyzes the role of the Anti-Corruption Agency in the implementa-tion of anti-corruption expertise of regulations based on the experience of some foreign countries. Based on the analysis of national and foreign legislation, proposals and recom-mendations have been developed to improve the anti-corruption expertise of regulations.

Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction

Ajit Pandharinath Chaudhari; Dr. E Vijay Kumar; Dr. Girish A. Kulkarni

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1209-1216

This article presents an evaluation of the optimal location and dimensioning of distributed generation in electrical energy distribution systems. For such evaluation, the Shuffled Frog-Leaping Algorithm has been considered. In the problem of optimal location and dimensioning, two objectives have been considered: the minimization of active losses and the improvement of the voltage profile. To compare the effectiveness of the implemented methods, IEEE-33 bus test distribution system is used. The correct location and dimensioning of the distributed generation allowed to substantially improve the network voltage profile and reduce losses for the test system.


Jennifer . P; Dr. A. Muthukumaravel

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3675-3682

Indexing is an important process in Information Retrieval (IR) systems. It forms the core
functionality of the IR process since it is the first step in IR and assists in efficient information retrieval.
Indexing reduces the documents to the informative terms contained in them. It provides a mapping
from the terms to the respective documents containing them. Once effective index has been built for the
collection of documents, retrieval process is simplified. Indexing proceeds at four stages namely
content specification, tokenization of documents, processing of document terms, and index building.
The index can be stored in the form of different data structures namely direct index, document index,
lexicon and inverted index. Index can be built by applying different algorithms or schemes such as
single pass in memory indexing, blocked indexing, etc.

Grey Wolf Optimization based Cognitive Radio Engine Design

Gajanan Uttam Patil; Dr. Girish Ashok Kulkarni

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 910-920

Cognitive radio appears to be a natural solution to the problems of scale and complexity resulting from the great popularity of wireless communications and the evolution of radio technologies. A cognitive radio is an intelligent agent capable of adapting to its operational context to respect the regulatory framework controlling access to the spectrum, satisfy the user's needs in terms of quality of service, and ensure optimized management of available resources (radios, networks and equipment).This new paradigm is directly linked to the development of embedded intelligence, the subject of this paper.
In this paper, we detail the design of a cognitive engine (CE) structuring the reasoning and learning operations necessary for the supervision of the dynamic reconfiguration process.
It is noted that supervised and unsupervised learning methods have been projected for various learning tasks.This paper presents ametaheuristic that is Grey Wolf Optimization (GWO) as approximate methodfor the optimization of fitness function of proposed cognitive engine. In order to establish performance evaluation of CRaccording to different criteria that we have set, such as the bit error rate (BER), output power and channel attenuation.