Oliveira, Daniela Seabra Lin, Tian Rocha, Harold Ellis, Donovan Dommaraju, Sandeep Yang, Huizi Weir, Devon Marin, Sebastian Ebner, Natalie C.
Published in
Crime Science
Spam has been increasingly used for malware distribution. This paper analyzed modern spam from an age-comparative perspective to (i) discover the extent to which psychological weapons of influence and life domains were represented in today’s spam emails and (ii) clarify variations in the use of these weapons and life domains by user demographics. T...
Bischof, Jason J Bush, Montika Shams, Rayad Bin Collichio, Frances A Platts-Mills, Timothy F
Published in
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Patients with cancer often experience medical events that require immediate evaluation. These evaluations typically occur in an emergency department (ED), but there is increasing interest in providing this care in other settings. We report on a novel care model whereby a nursing hotline is used to triage patients to the ED or to the North Carolina ...
Nam, Ju Gang Witanto, Joseph Nathanael Park, Sang Joon Yoo, Seung Jin Goo, Jin Mo Yoon, Soon Ho
Published in
European radiology
To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing vascular remodeling of chronic obstructive lung disease (COPD) patients. For development, 104 pulmonary CT angiography scans (49,054 slices) using a dual-source CT were collected, and sp...
Gallais, Fabrice Pible, Olivier Gaillard, Jean-Charles Debroas, Stéphanie Batina, Hélène Ruat, Sylvie Sandron, Florian Delafoy, Damien Gerber, Zuzana Olaso, Robert
...
Published in
Analytical and bioanalytical chemistry
COVID-19 is the most disturbing pandemic of the past hundred years. Its causative agent, the SARS-CoV-2 virus, has been the subject of an unprecedented investigation to characterize its molecular structure and intimate functioning. While markers for its detection have been proposed and several diagnostic methodologies developed, its propensity to e...
Kippnich, Maximilian Schorscher, Nora Kredel, Markus Markus, Christian Eden, Lars Gassenmaier, Tobias Lock, Johann Wurmb, Thomas
Published in
European journal of trauma and emergency surgery : official publication of the European Trauma Society
The trauma centre of the Wuerzburg University Hospital has integrated a pioneering dual-room twin-CT scanner in a multiple trauma pathway. For concurrent treatment of two trauma patients, two carbon CT examination and intervention tables are positioned head to head with one sliding CT-Gantry in the middle. The focus of this study is the process of ...
Zahedi, Alireza Monis, Paul Deere, Daniel Ryan, Una
Published in
Parasitology research
Waterborne diseases are a major global problem, resulting in high morbidity and mortality, and massive economic costs. The ability to rapidly and reliably detect and monitor the spread of waterborne diseases is vital for early intervention and preventing more widespread disease outbreaks. Pathogens are, however, difficult to detect in water and are...
Köksal Ersöz, Elif Wendling, Fabrice
Published in
Journal of Mathematical Neuroscience
Mathematical models at multiple temporal and spatial scales can unveil the fundamental mechanisms of critical transitions in brain activities. Neural mass models (NMMs) consider the average temporal dynamics of interconnected neuronal subpopulations without explicitly representing the underlying cellular activity. The mesoscopic level offered by th...
Zheng, Lizhen Huang, Le Chen, Ziyi Cui, Can Zhang, Ri Qin, Ling
Published in
European journal of nutrition
Corticosteroid (CS) therapy for infectious and rheumatological diseases showed to decrease serum magnesium (Mg++) level and induce muscle atrophy in patients. The present study investigated the effects of Mg++ supplementation on preventing CS-induced muscle atrophy in an animal model, which provided experimental data for potential clinical translat...
Keidar, Daphna Yaron, Daniel Goldstein, Elisha Shachar, Yair Blass, Ayelet Charbinsky, Leonid Aharony, Israel Lifshitz, Liza Lumelsky, Dimitri Neeman, Ziv
...
Published in
European radiology
In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in diagnosis and monitoring of patients with COVID-19. We propose a deep learning model for detection of COVID-19 from CXRs, as well as a tool for retrieving similar patients according to the model's results on their CXRs. For tr...
Wu, Haoxuan Zhang, Yang Hu, Hong Li, Yuan Shen, Xuxia Liu, Quan Wang, Shengping Chen, Haiquan
Published in
Journal of cancer research and clinical oncology
Ground glass opacity (GGO) nodules were found incidentally by computed tomography (CT) scan in some teenagers, which turned out to be lung cancer. The purpose of this study is to summarize the characteristics of teenage patients with GGO featured lung adenocarcinoma. Patients aging from 13 to 20 who were incidentally diagnosed with lung cancer were...
