Publications by authors named "A Y Lakshmi"

Developing protein-based drugs for oral administration is one of the most challenging aspects of research due to their low stability and inability to permeate through intestinal mucus barrier. Recent studies suggest that the ionic liquids (ILs) can combine with protein-based drugs to improve stability and mucus-penetration capabilities. However, the interactions among protein-based drugs, ILs, and mucin are rather unknown, which can play a pivotal role in such drug delivery.

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This study investigates the efficacy of ginger extract (GE) as a green corrosion inhibitor in the petrochemical industry, specifically targeting microbial corrosion in carbon steel pipes utilized for river water coolant systems. The nutrient-deficient conditions coupled with the presence of nitrate-reducing bacteria (NRB) within these pipelines facilitate microbiologically influenced corrosion, wherein bacteria directly interact with the metal to harvest electrons for metabolic processes. Our findings indicate that GE inhibits microbial corrosion through dual mechanisms: significantly reducing biofilm formation and adsorbing onto the metal surface.

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Introduction: In the past three years, there has been an increase in incidents of violence against healthcare workers in Kerala. The aim of the study is to explore the attitude of medical students toward violence against doctors.

Methodology: This was a cross-sectional study undertaken at three of the four medical colleges in Ernakulam district in India as a part of our convenience sampling, which included around 1,500 students.

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Article Synopsis
  • Cervical cancer is the fourth most common cancer in women worldwide, with around 600,000 new cases and 340,000 deaths each year.
  • Early-stage cervical cancer can be treated effectively, but options for metastatic cases are limited, highlighting the need for better diagnostic methods.
  • This paper reviews cervical cancer biomarkers and the use of electrochemical biosensors for detection, which offer improved sensitivity, cost-effectiveness, and simplicity in analysis compared to traditional methods.
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