Publications by authors named "J Akbar"

Background and aim Non-contrast computed tomography of kidneys, ureters, and bladder (CT KUB) is the gold standard radiological imaging for nephrolithiasis. It significantly contributes to the total radiation exposure of a population. This is well known to be linked to increased cancer risk over time and as such should be minimized in line with Ionising Radiation (Medical Exposure) Regulations (IR{ME}R).

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With the development of internet technologies, it is now usual to communicate enormous amounts of text and visual data over networks, which calls for stringent procedures to guarantee confidentiality and integrity throughout transmission. An important part of safeguarding image communication over secure channel is cryptography. This study proposes an effective way to secure sensitive data by creating tamper-proof cryptosystems and authentication mechanisms.

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Article Synopsis
  • Terahertz (THz) waves have significant potential applications in military, industrial, and biomedical sectors, but challenges such as spatial limits and image clarity hinder their effectiveness.
  • Thz time-domain spectroscopy (THz-TDS) imaging systems analyze samples via spectral signals, yet face difficulties with atmospheric absorption and noise.
  • This study proposes a deep learning model using a generative adversarial network to enhance THz image quality, resulting in better resolution and noise reduction, particularly in images of deformed metal, outperforming existing algorithms like SRGAN and RDN.
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Background: The pharmaceutical promotion is "all informational and persuasive activities by manufacturers and distributors, the effect of which is to induce the prescription, supply, purchase and/or use of medicinal drugs. These promotional activities affect the dispensing behavior of physicians and pharmacists and influence begins from educational institutes.

Objective: Our study's main aim was to evaluate opinion and attitude of pharmacy students towards pharmaceutical promotion.

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Article Synopsis
  • * Conducted in early 2024, the qualitative research involved interviews with 25 HCPs (doctors, pharmacists, and nurses) who had limited knowledge about AI but recognized its potential benefits.
  • * Despite some concerns, HCPs were open to AI adoption, believing it could enhance efficiency and reduce errors in healthcare, suggesting that steps should be taken by policymakers to facilitate this integration.
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