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https://www.selleckchem.com/products/opicapone.html To estimate the effectiveness of combining facial expression recognition and machine learning for better detection of distress. 232 patients with cancer in Sichuan University West China Hospital in Chengdu, China. The Distress Thermometer (DT) and Hospital Anxiety and Depression Scale (HADS) were used as instruments. The HADS included scores for anxiety (HADS-A), depression (HADS-D), and total score (HADS-T). Distressed patients were defined by the DT cutoff score of 4, the HADS-A cutoff score of 8 or 9, the HADS-D cutoff score of 8 or 9, or the HADS-T cutoff score of 14 or 15. The authors applied histogram of oriented gradients to extract facial expression features from face images, and used a support vector machine as the classifier. The facial expression features showed feasible differentiation ability on cases classified by DT and HADS. Facial expression recognition could serve as a supplementary screening tool for improving the accuracy of distress assessment and guide strategies for treatment and nursing. Facial expression recognition could serve as a supplementary screening tool for improving the accuracy of distress assessment and guide strategies for treatment and nursing.We describe an uncommon case of a Meckel's diverticulum perforation by a chicken bone in a patient with symptoms of acute appendicitis. Meckel's diverticulum is the most common congenital abnormality of the gastrointestinal tract. The incidence is approximately 2% of the population. Most patients are asymptomatic, only 4-16% presenting complications, including bleeding, obstruction, and diverticulitis. The perforation due to a foreign body is a very infrequent complication and may have a bad prognosis in case of a delayed diagnosis. Only in a few cases, a careful evaluation of the CT scan leads to correct preoperative diagnosis. Definitive treatment is surgical intervention and should not be delayed in patients with peritonitis. Laparosco

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