Publications by authors named "Huangqi Jiang"

With the rapid advancement of deep learning technologies, computer vision has shown immense potential in retail automation. This paper presents a novel self-checkout system for retail based on an improved YOLOv10 network, aimed at enhancing checkout efficiency and reducing labor costs. We propose targeted optimizations for the YOLOv10 model, incorporating the detection head structure from YOLOv8, which significantly improves product recognition accuracy.

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Objective: No prior studies have evaluated inhibitory control in people with severe class III compared with class I/II obesity. Thus, the study aim was to evaluate inhibitory control and neural correlates of response inhibition by obesity class using a sample of endometrial cancer (EC) survivors with obesity, who have a higher risk of overall but not cancer-specific mortality.

Methods: Forty-eight stage I EC survivors with obesity (class I/II: n = 21; class III: n = 27) seeking weight loss in a lifestyle intervention at baseline completed a stop signal task during functional magnetic resonance imaging.

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Adolescents facing adversities are susceptible to depression and sleep problems. Resilience is an important protective mechanism for coping with adversity. During the COVID-19 pandemic, adolescents faced hardships including being pulled from their schools and being unable to socialize with friends during mandated lockdowns.

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Background: The rates of severe or Class III obesity (BMI ≥ 40.0 kg/m) and endometrial cancer (EC) incidence and mortality have been increasing significantly in the United States. Adults with severe obesity are more likely to die and women with severe obesity have a higher risk of EC development and mortality than those with Class I/II obesity (BMI: 30-<40 kg/m).

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