Superconducting Qubits as Quantum Sensors for the Detection of Ionizing Radiation
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Radiation exposure poses a significant threat to human health. Emerging research indicates that even low-dose radiation once believed to be safe, may have harmful effects. This perception has spurred a growing interest in investigating the potential risks associated with low-dose radiation exposure across various scenarios. To comprehensively explore the health consequences of low-dose radiation, our study employs a robust statistical framework that examines whether specific groups of genes, belonging to known pathways, exhibit coordinated expression patterns that align with the radiation levels. Notably, our findings reveal the existence of intricate yet consistent signatures that reflect the molecular response to radiation exposure, distinguishing between low-dose and high-dose radiation. Moreover, we leverage a pathway-constrained variational autoencoder to capture the nonlinear interactions within gene expression data. By comparing these two analytical approaches, our study aims to gain valuable insights into the impact of low-dose radiation on gene expression patterns, identify pathways that are differentially affected, and harness the potential of machine learning to uncover hidden activity within biological networks. This comparative analysis contributes to a deeper understanding of the molecular consequences of low-dose radiation exposure.
Simple and complex clustered DNA damage represent the critical initial damage caused by radiation. In this paper, a multinomial probability model of clustered damage is developed with probabilities dependent on the energy imparted to DNA and surrounding water molecules. The model consists of four probabilities: (A) direct damage of sugar-phosphate moieties leading to SSB, (B) OH− radical formation with subsequent SSB and BD formation, (C) direct damage to DNA bases, and (D) energy imparted to histone proteins and other molecules in a volume not leading to SSB or BD. These probabilities are augmented by introducing probabilities for the relative location of SSB using a ≤10 bp criteria for a double-strand break (DSB) and for the possible success of a radical attack that leads to SSB or BD. Model predictions for electrons, 4He, and 12C ions are compared to the experimental data and show good agreement. Thus, the developed model allows an accurate and rapid computational method to predict simple and complex clustered DNA damage as a function of radiation quality and to explore the resulting challenges to DNA repair.
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Hazardous late effects of radiation exposure in man
Effect of weightlessness on single cells
Combined effects of vibration and radiation on functional state of motor defense flexor reflex arc
Effects of electrical bias during irradiation on radiation damage and of different measurement conditions on magnitude of degradation in N-P-N PLANAR transistors
Morphological changes of various peripheral nervous system components of rats, rabbits, and guinea pigs under influence of cobalt 60 irradiation
Effect of vibration and vibrostand noise, both in combination with X-ray irradiation, on conditioned reflexes of rats
Initial data on galactic radiation levels for tissue damage inside supersonic transport
Permissible radiation dosage and tolerance criteria of mice to accelerations
Biological effects of radioactivity and X rays irradiation of whole body and cells, considering DNA degradation
Density gradient sedimentation of Escherichia coli populations irradiated with Co 60 gamma rays, showing correlation between DNA degradation and cell death
The response of a 3.8-cm TlCl(I,Be) crystal to 8 GeV negative pions is reported. A comparison is also made with the response of a similar CsI(Tl) crystal to the same incident radiation. In addition, the pulse shape and resolution characteristics of a 7.6-cm TlCl(I,Be) crystal, excited by positrons in the energy range 50 to 130 MeV, are reviewed. It is concluded that thallous chloride shows promise of being an excellent scintillating material for the detection and energy determination of high energy photons and charged particles.
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