Chlorophyll and Nano-Lead Infused Bio-Silicon Sheets for X-Ray Radiation Shielding in Medical Applications
Bibliographic record
Abstract
Nano lead was utilized to manufacture shielding aprons, serving as a practical substitute for the commonly employed sheet lead aprons in providing protection against medical radiation.In addition, metallic nano lead and chlorophyll were evaluated as alternative materials for these aprons, The metallic lead nanoparticles were dispersed using ultrasound.An investigation was carried out to assess the efficacy of four different antiradiation shielding sheets made of metallic nano lead and chlorophyll at different concentrations (10, 20, and 30 wt% and 35 wt%, respectively) using bio silicon as the foundation material The selection of concentrations was predicated upon prior scholarly investigations.The radiation dosages emitted by these sheets were compared to those emitted by a lead standard.An experiment was carried out to determine the tensile strength of radiation shielding sheets throughout the production process, specifically focusing on the appropriate mixing procedure.The assessment of transmission dosage was performed utilising the lead equivalent test technique (IEC 61331-3:2014) on X-ray protective equipment, in compliance with the European Industrial Standard.The experiment entailed quantifying the levels of radiation transmission using a lead standard of varied thicknesses (0.05, 0.1, 0.15, 0.2, 0.25, 0.3, and 0.35 mm) and five distinct types of radiation shielding sheets.The data were recorded at tube voltages of 30, 60, 90, 120, 150, and 180 kilovolts peak (kVp).According to the results, using a composite made up of 20 wt% metallic nano lead and 35 wt% chlorophyll effectively assessed a dose equivalent to 0.3 mm of lead.Compared to conventional lead plates, the suggested shield exhibits a transmission dose of 0.115 mR.Conversely, traditional shield plates with a thickness of 0.3 mm demonstrate a transmission dose of 0.119 mR.Therefore, it has the capability to be used instead of lead sheets, making it a viable sheet for medical radiation shielding and demonstrating favorable economic feasibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".