CLASSIFICATION OF THYMUS-DERIVED AND MARROW-DERIVED LYMPHOCYTES BY DEMONSTRATION OF THEIR ANTIGEN-BINDING CHARACTERISTICS

Antigen-binding cells of T and B origin can readily be determined by quantitating the number of sheep erythrocytes per rosette after glutaraldehyde fixation. The T1 and T2 populations have low antigen-binding properties and are very unstable without fixation. The B1 and B2 populations are stable and correlate with precursor and secretory cells. Fixation of rosettes permits a sensitive test for studying differentiation of T and B cells

Any difference? Use of a CAM provider among cancer patients, coronary heart disease (CHD) patients and individuals with no cancer/CHD

<p>Abstract</p> <p>Background</p> <p>Although use of complementary and alternative medicine (CAM) among cancer patients has been described previously, prevalence of use has not commonly been compared to other disease groups in a true population sample where CAM use or cancer is not the main focus. The aims of the present study are to (1) examine how CAM use in cancer patients differs from people with a previous CHD diagnosis and people with no cancer or CHD diagnosis in an unselected general population and (2), investigate the use of a CAM provider among individuals with a previous cancer diagnosis.</p> <p>Methods</p> <p>A total of 8040 men and women aged 29 to 87 in the city of Tromsø, Norway filled in a questionnaire developed specifically for the Tromsø V study with questions on life style and health issues. Visits to a CAM provider within the last 12 months and information on cancer, heart attack and angina pectoris (heart cramp) were among the questions. 1449 respondents were excluded from the analyses.</p> <p>Results</p> <p>Among the 6591 analysed respondents 331 had a prior cancer diagnosis, of whom 7.9% reported to have seen a CAM provider within the last 12 months. This did not differ significantly from neither the CHD group (6.4%, p = 0.402) nor the no cancer/CHD group (9.5%, p = 0.325).</p> <p>Conclusion</p> <p>According to this study, the proportion of cancer patients seeing a CAM provider was not statistically significantly different from patients with CHD or individuals without cancer or CHD.</p

Intelligent gender recognition system for classification of gender in Malaysian demographic

Intelligent gender recognition is the ability in identify whether a person is a male or female based on the past experiences by the features of face such as eyes, mouth, cheek that makes the significant contribution to the appearance. Detecting human gender is difficult but important for some purposes, especially where safety issues related to female gender in public amenities is concerned. There were criminal cases that happened around the world concerning female gender in the public bathroom. The objectives of this research is to identify the techniques for classifying the different face features of male and female, embed as a system and validify using photos within Malaysian demographic. The scope of the project is focused on the face features for gender classification in real time, utilizing deep learning based gender recognition and HAAR Cascade classifier using pre-trained caffe model in OpenCV library to detect the gender