Understanding face and eye visibility in front-facing cameras of smartphones used in the wild

Commodity mobile devices are now equipped with high-resolution front-facing cameras, allowing applications in biometrics (e.g., FaceID in the iPhone X), facial expression analysis, or gaze interaction. However, it is unknown how often users hold devices in a way that allows capturing their face or eyes, and how this impacts detection accuracy. We collected 25,726 in-the-wild photos, taken from the front-facing camera of smartphones as well as associated application usage logs. We found that the full face is visible about 29% of the time, and that in most cases the face is only partially visible. Furthermore, we identified an influence of users' current activity; for example, when watching videos, the eyes but not the entire face are visible 75% of the time in our dataset. We found that a state-of-the-art face detection algorithm performs poorly against photos taken from front-facing cameras. We discuss how these findings impact mobile applications that leverage face and eye detection, and derive practical implications to address state-of-the art's limitations

Exploring work productivity loss in patients with inflammatory bowel disease

Aim: We aimed in this study to evaluate the impact of inflammatory bowel disease (IBD) on patients’ professional life and to determine predictors of severe work productivity loss (WPL). Materials & methods: A cross sectional study including patients with a confirmed diagnosis of IBD. Work productivity was evaluated with the work productivity and activity impairment score. Results: Severe absenteeism and WPL were found in respectively 7 (5.1%) and 54 (39.1%) patients. In multivariate analysis, the following features were found to be independently associated with severe WPL: penetrating Crohn’s disease (p: 0.001, OR: 6), anemia (p: 0.031, OR: 3.23), diarrhea (p < 0.001, OR: 11.23) and a secondary level of education (p: 0.003, OR: 1.95). Conclusion: Our results show that IBD have a substantial effect on patients’ professional life

Molecular diagnosis of Rickettsia infection in patients from Tunisia

International audienceDiagnosis of rickettsioses had largely benefited from the development of molecular techniques. Unfortunately, in Tunisia, despite the large number of rickettsia( cases registered every year, the Rickettsia species remain unidentified. In this study, we aimed to detect the Rickettsia species in clinical samples using molecular tests. A study was established to analyze skin biopsies, cutaneous swabs, and cerebrospinal fluid samples taken from clinically suspected patients to have rickettsial infection. Two molecular techniques were used to detect Rickettsia DNA: quantitative real time PCR (qPCR) and reverse line blot test (RLB). An analysis of the RLB hybridization assay results revealed the presence of Rickettsia DNA in skin biopsies (40.6%) and swabs (46.7%). Rickettsia conorii was the most prevalent identified species among tested samples. Other species of interest include Rickettsia typhi and Rickettsia massiliae. Using qPCR positivity rates in skin biopsies was 63.7% against 80% in swabs. R. conorii was the most frequently detected species, followed by R typhi. The agreement between the two techniques was 68.6% (kappa = 0.33). Molecular tests, especially using specific probes qPCR, allow for a rapid, better and confident diagnosis in clinical practice. They improve the survey of Mediterranean spotted fever which is considered to be the most important rickettsial infection in humans in Tunisia. (C) 2016 Elsevier GmbH. All rights reserved