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Background: Ethics is based on moral principles that should be the foundation for every healthcare decision, however, ethical concepts can often be challenging to define in specific clinical scenarios. There are several instances where a practising clinician often finds it difficult to make a proper decision despite maintaining integrity and professionalism. The objective of the present study was to explore the ethical dilemma faced by orthodontists practicing in Saudi Arabia concerning orthodontic treatment.

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Background: Cirrhosis has been pointed out as a clinical entity that leads to worse clinical prognosis in COVID-19 patients. However, this concept is controversial in the literature. We aimed to evaluate clinical outcomes by comparing patients with cirrhosis to those without cirrhosis in a Brazilian cohort.

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Impact of follicular size categories on oocyte quality at trigger day undergoing luteal phase stimulation protocol.

Arch Gynecol Obstet

January 2025

Reproductive Medicine Research Center, The Sixth Affiliated Hospital, Sun Yat-Sen University, No. 17 Shou-gou-ling Rd., Tianhe District, Guangzhou, 510000, China.

Purpose: To investigate an optimal strategy by assessing the effectiveness of varying follicular sizes on trigger day during luteal phase stimulation protocol and provide evidence for personalized protocol adjustment.

Methods: This was a retrospective study including a total of 661 patients who had started their in vitro fertilization cycle with a luteal phase stimulation (LPS) protocol during 2015-2023. We classified patients into groups according to the size of the dominant proportion of follicles on the human chorionic gonadotropin (hCG) trigger day: large, medium, and small.

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Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.

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The CO emission factor is the basis for analyzing vehicle CO emissions. This study establishes a correlation model between the fuel CO emission factor and the mileage-based CO emission factor using fuel consumption data, then analyzes the fuel consumption and CO emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO emissions.

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