IRJEAS

INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES

ISSN 2322-0821(E), ISSN 2394-9910(P)

An ISO 9001:2015 Certified Publication

Volume 11 Issue 3                        July-September 2023

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Supercapacitors For Energy Storage at High Temperature of Cu-Mn-Zn Magnetic Oxide Thin Films Synthesized by SILAR Method

DOI: https://doi.org/10.55083/irjeas.2023.v11i03001

Country- INDIA

  Dr. Damodar Dattatraya Birajdar

PAPER ID: IRJEAS04V11I3001

Published: July 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 01-06

Keywords: XRD, Supercapacitors, Thin films, SILAR

Abstract:

Supercapacitors with their fast charge/discharge efficiency, good cycling life offer remarkable properties as energy storage devices compared to conventional energy storage systems. Cu-Mn-Zn magnetic oxide thin films of composition Cu0.5Mnx/2Zn0.5Fe2-x/2O4 (0.0<x<1) are sintered after being created using the SILAR process. X-ray diffraction, cation distribution, and infrared spectra were examined as structural characteristics. Dielectric characteristics are researched, including the dielectric loss factorandthe dielectric constant. The thin films are shown to have spinal structures. As Mn content increases, the lattice constant rises as well. because the polarization of space charges is increasing and as a result, the dielectric characteristics are improving. 

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D.D. Birajdar. Supercapacitors for energy storage at high temperature of Cu-Mn-Zn magnetic oxide thin films synthesized by SILAR method. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  01-06, 2023. https://doi.org/10.55083/irjeas.2023.v11i03001

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Design and Performance of Rectangular Microstrip Patch Antenna

DOI: https://doi.org/10.55083/irjeas.2023.v11i03004

Country- INDIA

  Dheeraj Kumar

PAPER ID: IRJEAS04V11I3004

Published: 28 September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 07-12

Keywords: Loss, Bandwidth Patch, Microstrip, gain, Directivity, Voltage Standing Wave Ratio

Abstract:

Currently, wireless networks operate at a maximum of 4G, but an increase to 5G is in the works. Numerous programmes now operate on fourth-generation communication systems. The study of 5G communications is a relatively new field of study. Microstrip antenna study is important because of its potential use in cutting-edge 5G technologies. The high bandwidth provided by the microstrip fractal antenna is essential to satisfying the criteria for 5G. This study puts forward a microstrip patch antenna with a flawed ground structure for use in 5G wireless communication systems. This antenna has a resonance frequency of 5.4GHz. The proposed antenna has a total bandwidth of 0.92 GHz.

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D.D. Birajdar. Design and Performance of Rectangular Microstrip Patch Antenna. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  07-12, 2023. https://doi.org/10.55083/irjeas.2023.v11i03004

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Effects of Water-Soluble Organic Co-Solvents on the Metabolic Kinetics of Drugs in Rat Liver Microsomes

DOI: https://doi.org/10.55083/irjeas.2023.v11i03005

Country- INDIA

Dr. Rajesh Shukla

PAPER ID: IRJEAS04V11I3005

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 13-22

Keywords: Edoxaban, Maisine CC, Avicel pH, Aerosil, Gelucire 48/16 pellets, Liquid solid system, Melt granulation

Abstract:

The objective of this study was to enhance the solubility and dissolution rate of Edoxaban, a drug known for its poor solubility. This was achieved through the utilization of liquid-solid compacts and melt granulation techniques. The solubility assessments were conducted in non-liquid media, followed by thorough evaluations of the resulting formulations. These evaluations encompassed investigations into drug-excipient interactions, flow characteristics, and tablet quality control, employing techniques such as FTIR spectroscopy, DSC, and in vitro dissolution studies. Furthermore, the stability of the formulations was assessed over a three-month period under conditions of 40°C and 75% RH. The outcomes of this study could potentially provide valuable insights into enhancing the therapeutic efficacy of Edoxaban.The study revealed that Maisine CC and Tween 80 exhibited favorable solubility with Edoxaban. 

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Dr. Rajesh Shukla. Effects of water-soluble organic co-solvents on the metabolic kinetics of drugs in rat liver microsomes. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  13-22, 2023.https://doi.org/10.55083/irjeas.2023.v11i03005

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Advancements in Preventing and Treating Malaria

DOI: https://doi.org/10.55083/irjeas.2023.v11i03006

Country- INDIA

  Dr. Narendra Rathore

PAPER ID: IRJEAS04V11I3006

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 23-26

Keywords: Anopheles, Mosquitoe, Chloroquinine, Prevention, Quinine, Treatment, Vaccines.

Abstract:

In India, where only around 20% of the population, particularly in rural areas, receives healthcare that is either free or highly subsidized, malaria imposes a substantial socioeconomic burden on society. At private healthcare facilities, where the disease is often treated based on assumptions, the majority of individuals seek medical attention when affected. Given that malaria is caused by a rapidly multiplying parasite that can reach pandemic proportions within days of entering the bloodstream, early detection and treatment are paramount in preventing severe consequences. The primary carriers of malaria in India are female Anopheles mosquitoes, which are most active during the early morning and evening hours. This disease has spread throughout India, except in cooler regions with fewer mosquito populations, and symptoms typically manifest around 10 days to 4 weeks after infection.The treatment of malaria poses challenges due to the diversity of the disease, which requires different medications for its various forms. Traditional approaches to malaria treatment involve the use of quinine, although some parasites have developed resistance to this drug. Various medications, such as pyrimethamine, are employed to address malaria, with advancements like chloroquine proving more effective against specific strains of the disease.  

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Dr. Narendra Rathore. Advancements in Preventing and Treating Malaria. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  23-26, 2023. https://doi.org/10.55083/irjeas.2023.v11i03006

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A Detailed Perspective on Artificial Blood

DOI: https://doi.org/10.55083/irjeas.2023.v11i03008

Country- INDIA

  Dr. Ankit Pandey

PAPER ID: IRJEAS04V11I3008

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 27-32

Keywords: Artificial blood, Haemoglobin-based oxygen carriers, oxygen carrier, Red blood cells, Per fluorocarbons.

Abstract:

Hospitals routinely perform blood transfusions, a critical medical procedure. However, natural blood products have limitations such as limited availability and the potential for adverse reactions. To address these challenges, scientists have dedicated nearly four decades to researching artificial blood components. The primary objective is to create effective and selective alternatives capable of performing the same vital functions as natural blood products. These substitutes consist of precisely defined compounds designed for the transportation and distribution of oxygen within the human body, ultimately enhancing the efficacy of allergenic human blood transfusions. Over time, a multitude of molecules have been developed and continuously refined in pursuit of the perfect blood substitute. Recent advancements have led to the production of artificial blood using materials like PFC or hemoglobin derived from outdated human or bovine blood sources. This represents a significant step forward in the quest to provide a comprehensive range of blood alternatives.

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Dr. Ankit Pandey. A Detailed Perspective on Artificial Blood. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  27-32, 2023. https://doi.org/10.55083/irjeas.2023.v11i03008

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The Significance of Antibiotic Treatment for Patients After Surgery

DOI: https://doi.org/10.55083/irjeas.2023.v11i03009

Country- INDIA

  Dr. Goutam Patnayak

PAPER ID: IRJEAS04V11I3009

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 33-42

Keywords: Antibiotic stewardship, Antibiotics prescription pattern, Antibiotic policy, Empirical antibiotics, National treatment guideline.

Abstract:

Antibiotics play a vital role in preventing and treating bacterial infections, but their improper use and excessive administration can foster the emergence of antibiotic-resistant bacteria. This issue is particularly significant in post-operative patients, where selecting the right antibiotics becomes paramount. Factors like the site of infection, the responsible microorganism, and the pharmacokinetics of antibiotics must guide this selection. In these cases, the judicious use of empirical antibiotics is essential, hinging on clinical indicators such as an increase in total white blood cell count and spikes in body temperature. Striking the right balance is imperative to ensure effective treatment without promoting antibiotic resistance. To guarantee the rational use of antibiotics, careful consideration of the timing and duration of treatment is imperative. Additionally, the choice of antibiotics should be tailored to each patient’s specific condition and medical history. In summary, antibiotics are indispensable in both preventing and treating bacterial infections. Healthcare professionals bear the responsibility of prescribing them wisely to maximize patient outcomes while minimizing the risk of antibiotic resistance.

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Dr. Goutam Patnayak. The Significance of Antibiotic Treatment for Patients After Surgery. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp.  33-42, 2023. https://doi.org/10.55083/irjeas.2023.v11i03009

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Streamlining Big Data Processing with Artificial Intelligence

DOI: https://doi.org/10.55083/irjeas.2023.v11i03010

Country- USA

  Shubhodip Sasmal

PAPER ID: IRJEAS04V11I3010

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 43-49

Keywords: Big Data Processing,Artificial Intelligence,Data Engineering,Streamlining,Machine Learning, Data Integration, Automation, Scalability, Advanced Analytics, Cognitive Computing, Data Pipelines, Real-time Processing.

Abstract:

The ever-expanding volume and complexity of Big Data present challenges in processing, analyzing, and extracting meaningful insights efficiently. This research paper explores the integration of Artificial Intelligence (AI) techniques to streamline Big Data processing workflows. The objective is to enhance the speed, accuracy, and scalability of data processing tasks, addressing the growing demands of contemporary data-driven enterprises.
The research delves into the foundational principles of Big Data processing and the inherent bottlenecks that traditional approaches encounter. It establishes the need for innovative solutions to overcome these challenges and highlights the potential synergy between AI and Big Data technologies. The paper emphasizes the role of AI in automating routine tasks, optimizing resource utilization, and enabling real-time analytics.
A significant focus of the research is on the application of Machine Learning (ML) algorithms in Big Data processing. ML models contribute to the automation of data cleansing, transformation, and analysis, reducing manual intervention and minimizing processing times. Deep Learning techniques, particularly neural networks, are explored for their ability to uncover intricate patterns within massive datasets, unlocking advanced analytical capabilities. Furthermore, the research investigates how AI-driven approaches facilitate adaptive optimization in the face of dynamic data environments. Self-learning algorithms and predictive analytics contribute to the creation of intelligent systems capable of anticipating processing needs and optimizing workflows in real-time.
The practical implications of the research are demonstrated through case studies and industry applications. These examples showcase instances where AI-driven Big Data processing solutions have resulted in significant improvements in efficiency, cost-effectiveness, and decision support. Ethical considerations related to data privacy, bias mitigation, and responsible AI deployment are also addressed, underlining the importance of ethical practices in the era of AI-enhanced Big Data processing. this research paper contributes to the discourse on the intersection of AI and Big Data processing. By streamlining workflows, automating tasks, and harnessing the power of advanced analytics, the integration of AI offers a promising avenue for transforming the landscape of Big Data processing, ensuring organizations can derive actionable insights from their data assets with unprecedented speed and accuracy.

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Shubhodip Sasmal. Streamlining Big Data Processing with Artificial Intelligence, International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp. 43-49, 2023. 10.55083/irjeas.2023.v11i03010

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Investigating Innovative Benz amide Derivatives as Inhibitors of Acetyl cholinesterase: Synthesis, Docking, and Assessment of Inhibitory Activity [pp 49-54]

DOI: https://doi.org/10.55083/irjeas.2022.v10i03009

Country- INDIA

Dr. Shrikrishna H Gurlhosur

PAPER ID: IRJEAS04V11I3009

Published: September 2023

Journal: IRJEAS, Volume 11, Issue 3

Pages: 49-54

Keywords: Benzamide derivatives, acetyl cholinesterase inhibition, neurodegenerative disorders, drug discovery, molecular docking.

Abstract:

This research explores the design, synthesis, and evaluation of benzamide derivatives as inhibitors of acetyl cholinesterase (AChE), a key enzyme involved in the hydrolysis of acetylcholine, a neurotransmitter crucial for cognitive function. The study aims to enhance our understanding of the structure-activity relationships governing the inhibitory potential of these compounds, shedding light on the intricate molecular interactions underlying AChE inhibition. The benzamide derivatives were systematically synthesized and characterized, employing a range of analytical techniques such as spectroscopy and chromatography to confirm their chemical structures and purities. Strategic modifications were introduced during synthesis to optimize the compounds’ inhibitory activity against AChE, with a focus on enhancing potency and selectivity. Molecular docking studies, utilizing computational algorithms and molecular modeling software, provided detailed insights into the binding interactions between the synthesized compounds and the active site of AChE, aiding in the rational design of more effective inhibitors. In vitro experiments, conducted using enzymatic assays and cellular models, demonstrated varying degrees of inhibitory activity across the synthesized compounds, allowing for the identification of lead candidates with the most promising potential for further development as therapeutics for neurodegenerative disorders, such as Alzheimer’s disease. This multidisciplinary approach, combining organic synthesis, computational modeling, and enzymology, represents a concerted effort in drug discovery targeting AChE, with profound implications for the development of innovative treatments addressing the unmet medical needs in neurological disorders.

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Shubhodip Sasmal. Streamlining Big Data Processing with Artificial Intelligence, International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp. 43-49, 2023. 10.55083/irjeas.2023.v11i03010