Publications by authors named "S S Md Shahit"

Objectives: Good oral hygiene measures are important for successful orthodontic treatment. They involve various types of mouthwashes which have been reported to cause alteration of mechanical properties of archwires. This study aimed to evaluate the effects of a new kind of chlorine-dioxide-containing mouthwash on the mechanical properties and surface morphology of stainless steel orthodontic archwires against the already prevalent chlorhexidine mouthwash in the market.

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Introduction Sexually transmitted infections (STIs), which contribute to a significant amount of mortality and morbidity in the reproductive life of adults, are infections that can be prevented by healthy sexual behavior and education about the same. This study aims to assess the knowledge and attitude toward STIs and contraceptive use among patients attending the Venereology Outpatient Department (OPD). Methods A hospital-based cross-sectional study was conducted among patients more than 18 years of age attending the Venereology OPD, Government Medical College and Hospital, Thiruvallur, India, from March to May 2024.

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Manganese oxides are a promising cathode material for aqueous zinc-ion batteries (AZIBs), but thin-film configurations remain underexplored. This study investigates the electrochemical dynamics of 60 nm thin MnO thin films, fabricated via RF magnetron reactive sputtering. It addresses the highest reported capacity (25 mAh/g) in thin film form, stability over 500 cycles, effective performance across varying current rates, surpassing previous studies and challenges such as phase stability, and capacity fading over extended cycling, aiming to enhance uniformity, minimizing diffusion barriers for improved performance.

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Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.

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Therapeutic strategy for efficiently targeting cancer cells needs an in-depth understanding of the cellular and molecular interplay in the tumor microenvironment (TME). TME comprises heterogeneous cells clustered together to translate tumor initiation, migration, and proliferation. The TME mainly comprises proliferating tumor cells, stromal cells, blood vessels, lymphatic vessels, cancer-associated fibroblasts (CAFs), extracellular matrix (ECM), and cancer stem cells (CSC).

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