Resuscitation of newborns is a critical procedure and requires refined skills. The contents of resuscitation guidelines and their implementation should be crucial in education of medical students. The traditional 2-stage (“see one, do one”) instruction is theory-loaded and does not provide sufficient hands-on training needed to give trainees the necessary practical experience or confidence in c...

AIM The purpose of this study was to evaluate the diagnostic value of trefoil factor family 3 (TFF3) for the early detection of colorectal cancer (CC). METHODS Serum TFF3 and carcino-embryonic antigen (CEA) were detected in 527 individuals, including 115 healthy control (HC), 198 colorectal adenoma (CA), and 214 CC individuals in the training group. RESULTS Serum TFF3 showed no significant ...

In this descriptive cross-sectional study 14 national basketball team players attending the preparatory camp for the Asian games with mean age of 25.6 ± 3.1 yrs, height of 191 ± 6 cm, weight of 87.3 ± 8.1 kg and BMI of 23.9±1.7 were surveyed. The subjects underwent anthropometric, aerobic power, body fat content and VO2max measurements in three stages of the training period (before training, du...

INTRODUCTION Drug overuse is a serious problem for health care, and one of the biggest problems for the socio-economic well-being of different communities. The elderly tend to use more drugs due to changes in their cognitive and physiological factors. One of the best ways to evaluate the health level of elderly people is to evaluate their self-medication. This study was conducted to investigate...

While face recognition is a fairly trivial task for humans, much of computer vision research has been dedicated to finding an algorithm to teach a computer how to recognize faces. This paper discusses the robustness of the Turk and Pentland ‘Eigenface’ algorithm [1]. The algorithm consists of two stages, the learning stage, which is done offline, and the recognition stage, which is done online....

Graph neural networks (GNNs) have received massive attention in the field of machine learning on graphs. Inspired by success networks, a line research has been conducted to train GNNs deal with various tasks, such as node classification, graph and link prediction. In this work, our task interest is classification. Several GNN models proposed shown great accuracy task. However, question whether ...

Pre-trained deep language models (LM) have advanced the state-of-the-art of text retrieval. Rerankers fine-tuned from LM estimates candidate relevance based on rich contextualized matching signals. Meanwhile, LMs can also be leveraged to improve search index, building retrievers with better recall. One would expect a straightforward combination both in pipeline additive performance gain. In thi...