The rates of mental illness, especially anxiety and depression, have increased greatly since the start COVID-19 pandemic. Traditional illness screening instruments are too cumbersome biased to screen an entire population. In contrast, smartphone call text logs passively capture communication patterns thus represent a promising alternative. To facilitate advancement such research, we collect cur...

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We point out that chiral condensates at nonzero temperature and magnetic fields are in strict connection to the space-time integral of corresponding two-point neutral meson correlation functions pseudoscalar channel via Ward-Takahashi identity. Screening masses mesons, which defined as exponential decay spatial long distance, thus intrinsically connected (inverse) catalysis condensates. To stud...

The publisher regrets that the New Mexico HPV Pap Registry (NMHPVPR) Steering Committee Members were not mentioned in original version of article. online has been updated and correct author list can also be found above. would like to apologise for any inconvenience caused. A state-wide population-based evaluation cervical cancers arising during opportunistic screening United StatesGynecologic O...

American Indian (AI) men have some of the highest rates of colorectal cancer (CRC) in the United States but among the lowest screening rates. Our goal was to better understand awareness and discourse about colorectal cancer in a heterogeneous group of AI men in the Midwestern United States. Focus groups were conducted with AI men (N = 29); data were analyzed using a community-participatory appr...

Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehensively and consistently analyze the data produced by in vivo bioassays. This is partly due to their complexity and lack of accepted reporting standa...

text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...