The fact that the development of breast cancer is linked to repeated or sustained exposure to high blood estrogen levels has raised obvious concern that reproductive hormones particularly estrogen, might increase the risk of breast cancer development. While, the general consensus is that overall; IVF is not associated with an increased risk for development of breast cancer, a recent report publ...

The default ARTMAP algorithm and its parameter values specified here define a ready-to-use general-purpose neural network system for supervised learning and recognition.

BACKGROUND The aim of the study was to determine breast cancer risk and early diagnosis applications in women aged ≥50. MATERIALS AND METHODS This cross-sectional, descriptive field study focused on a population of 4,815 in Mansurog?lu with a 55.1% participation rate in screening. In the study, body mass index (BMI) was also evaluated in the calculation of breast cancer risk by the Breast Can...

We present an approach for mobile robots to learn to navigate in pedestrian-rich environments via raw depth inputs, in a social-compliant manner. To achieve this, we adopt a generative adversarial imitation learning (GAIL) strategy for motion planning, which improves upon a supervised policy model pre-trained via behavior cloning. Our approach overcomes the disadvantages of previous methods, as...

two models are commonly made use to explain the behavior of insurance industries, namely: risk-pooling and the risk-absorbing models. neither of the two models provides an acceptable definition of insurance output in the economies experiencing high inflation rate. to address the deficiencies of the present models, an alternative was proposed in the current study as based on the theory of in...

This paper presents our ideas on generating formative feedback in the Genetics Argumentation Inquiry Learning (GAIL) system. GAIL will provide undergraduate biology students with tools for constructing Toulmin-style arguments on questions in genetics. Feedback will be based in part on the output of GAIL’s argument analyzer, which will compare learner arguments to automatically constructed exper...

With the development of AI, intelligence level vehicles is increasing. Structured roads, as common and important traffic scenes, are most typical application scenarios for realizing autonomous driving. The driving behavior decision-making intelligent has always been a controversial difficult research topic. Currently, mainstream methods, which mainly based on rules, lack adaptability generaliza...