Mosleycheng7847

Situs inversus totalis (SIT) is a rare congenital condition, which is characterized by abnormal placement of the thoracic and abdominal organs. The incidence of this condition is estimated to be from 1/8000 to 1/25,000. There have been minimal reports on SIT patients with esophageal cancer. In this report, we discuss a patient with SIT complicated by middle and lower esophageal cancer who underwent laparoscopic and thoracoscopic esophagectomy with intrathoracic anastomosis, and provide useful information with regards to treatment of this rare condition.Leiomyosarcoma (LMS) of the inferior vena cava (IVC) is an extremely rare malignancy with less then 400 cases reported. We present a 42-year-old woman with a 3-day history of vague and non-specific abdominal pain. Examination revealed mild tenderness to the epigastrium and right upper quadrant with no other findings. Abdominal ultrasound was performed, which revealed a large hypoechoic mass overlying the IVC. Abdominal computed tomography (CT) was performed which revealed an 8.9 × 7.9 × 9 cm multilobulated lesion encasing the IVC. A CT-guided biopsy was performed which revealed a primary LMS of the IVC. Surgical en bloc excision was performed with an end-to-end Dacron graft for IVC reconstruction. Histopathology confirmed LMS of the vessel wall with negative surgical margins.Mucocele of the appendix refers to an appendix that is distended by mucus and transformed in a mucus-filled sac. Appendicular torsion is rare. Primary and secondary forms of appendicular torsion are known. Our patient presented to the emergency department with complaints mimicking acute appendicitis. Imaging with computed tomography and ultrasound showed a cystic lesion most likely originating from the right ovary. The veriform appendix was located close to this lesion and seemed to be distended. During diagnostic laparoscopy, a torsion of the veriform appendix due to a mucocele was found and an appendectomy was performed. Histopathological analysis confirmed the diagnosis. Torsion of the vermiform appendix is most often diagnosed intra-operatively. Pre-operative radiologic imaging is often not useful in the detection of appendicular abnormalities other than acute appendicitis. The treatment consists of detorsion and appendectomy.Caudal cutaneous appendage is a rare condition. According to association with underlying spinal dysraphism, it can be classified into true or pseudotails. Management and prognosis depends closely on spinal anomaly. Fewer than 40 cases of true tail were reported. L(+)-Monosodium glutamate monohydrate datasheet We describe a rare case of true tail in a newborn explored and operated in our unity.Olfactory dysfunction (OD) is a prominent nonmotor symptom in Parkinson's disease (PD), and OD is a supportive diagnostic criterion for PD. Physicians often ask their patients if they have noticed a smell disorder. This study evaluates the diagnostic validity of OD self-assessment in PD. To this end, 64 PD patients and 33 age-matched healthy controls were enrolled in a study assessing subjective and objective olfactory functioning. To examine subjective olfactory abilities, first, patients and controls had to classify their olfactory sense as "impaired" or "unimpaired," comparable to a realistic situation in an outpatient setting. Second, to evaluate subjective olfactory acuity, a visual analogue scale (VAS) was used. Third, the Sniffin' Sticks test battery was used as an objective instrument to diagnose OD. Categorical olfactory self-assessment predicts the classification normosmic versus hyposmic based on the global Sniffin' Sticks score (TDI) with a sensitivity of 0.79 and a specificity of 0.45. TDI correlated significantly with the VAS (r = 0.297, p = 0.017). The ROC curve analysis, using the VAS rating as a predictor for objective olfaction, revealed 42 as the best possible cutoff score with an area under the curve of 0.63. These results demonstrate that olfactory self-assessments show a low accuracy and are not suitable for the diagnosis of a smell disorder in PD. Objective measures are necessary to evaluate olfactory sense in clinical and research settings.Mastitis is a multietiological and complex disease causing inflammation of the parenchyma of mammary glands and is a problem in many dairy cows. The objective of this study was to isolate and identify the pathogenic bacteria that cause bovine clinical mastitis. A cross-sectional study was undertaken between November 2018 to April 2019 on a small scale and government dairy farms in Asella town. Cow's udder and teats were physically examined to detect clinical mastitis. A total of 83 milk samples were collected from 46 cows that show clinical sign of mastitis from a total of 12 farms. Isolation and identification of major bacterial species were carried out by culturing different media and using primary and secondary biochemical tests. Out of the 83 samples collected and examined, all (100%) were positive for the cultural isolation of bacterial species. The bacteria were identified to genus and species level. Among the 83 isolates, 32 (38.6%), 24 (28.9%), and 6 (7.2%) were Staphylococcus aureus, Staphylococcus intermedius, and Staphylococcus hyicus, respectively. Other bacteria like Escherichia coli 12 (14.5%) and Streptococcus species 2 (2.4%) were also isolated. Bacillus species 2 (2.4%), Proteus species 2 (2.4%), and 3 (3.6%) of them were mixed bacterial infections. The present study revealed that both contagious and environmental bacterial pathogens were responsible for the occurrence of clinical mastitis. Proper milking practices and farm husbandry practices and future detailed studies up to the species level and on antibiotic profiles of the pathogens are needed.

Body constitution (BC) is the abstract concept indicating the state of a person's health in Traditional Chinese Medicine (TCM). The doctor identifies the body constitution of the patient through inspection and inquiry. Previous research simulates doctors to identify BC types according to a patient's objective physical indicators. However, the lack of subjective feeling information can reduce the accuracy of the machine to imitate the doctor's diagnosis. The Constitution in Chinese Medicine Questionnaire (CCMQ) is used to collect subjective information but suffers from low acquisition efficiency.

This paper presents a personalized body constitution inquiry method based on a machine learning technique. It employs a random generator, a feature extractor, and a classifier to simulate the doctor inquiry and generate a personalized questionnaire. Specifically, the feature extractor evaluates and sorts the question of the constitution in the CCMQ based on the recognition results of the tongue coating image of patients.