As social media becomes increasingly integrated into daily life, it has reshaped how people communicate and consume advertising. Instagram, a visually-oriented platform, uses advanced targeting and shopping features to deliver personalized advertising, particularly in the fashion retail sector. Grounded in the cognitive-affective-behavioral model and human information processing theory, this study investigates how Instagram’s personalized fashion advertising influences consumer perception and behavior, focusing on recommendation system quality (accuracy, novelty, diversity) and content quality (vividness, diagnosticity). A survey of 403 Korean adults aged 20–69 was conducted to assess causal relationships among these variables. The findings reveal that accuracy and diversity in recommendation systems, along with diagnosticity of content quality, positively influence user satisfaction, which, in turn, influences their click-through and purchase intentions. However, novelty and vividness exhibited no significant effects. Academically, the study contributes to a deeper understanding of the mechanisms underlying personalized advertising on visuallyoriented platforms like Instagram. Practically, it underscores the importance of creating high-quality, personalized content that aligns with user preferences and provides clear product information. Brands can enhance user engagement by designing visually appealing advertisements and optimizing linked web pages to foster emotional bonds with consumers. These strategies can cultivate long-term customer relationships and enhance brand loyalty while maximizing advertising effectiveness on Instagram.

PWR spent nuclear fuel generally showed an oxide film thickness of 100 um or more with a combustion rate of 45 MWD/MTU or higher, while CANDU spent nuclear fuel with an average combustion rate of about 7.8 MWD/MTU had few issues related to hydride corrosion. Even based on the actual power plant data, it is known that the thickness of the oxide film is 10 μm or less on the surface of the coating tube, and brittleness caused by hydride is shown from the thickness of the oxide film of about 80 μm, so it is not worth considering. However, since corrosion may be accelerated by lithium ions, lithium ions may be said to be a very important factor in controlling the hydro-chemical environment of heavy water. Lithium has a negative effect on the corrosion of zirconium alloys. However, since local below 5 ppb to prevent corrosion. maintained at a concentration between 0.35 and 0.55 ppm. Hydrogen is known to have a positive effect by suppressing radioactive decomposition of the coolant and suppressing cracks in nickelbased alloys. However, too much hydrogen can produce hydride in a pressure tube composed of Zr-2.5Nb, so DH (Disolved Hydrogen) maintains the range of 0.27–0.90 ppm. pH and conductivity are completely determined by lithium ions, and DH can be completely removed below 5 ppb to prevent corrosion. Therefore, for cladding corrosion simulation of the CANDU spent nuclear fuel, a hydrochemical of the equipment, not 310°C, and 14 uS·Cm−1 is targeted as conditions for corrosion acceleration. In addition, for acceleration, the temperature was set to 345°C (margin 10°C), which is the maximum accommodation range of the equipment, not 310°C.