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Confluence is a novel non-Intersection over Union (IoU) alternative to Non-Maxima Suppression (NMS) in bounding box post-processing in object detection. It overcomes the inherent limitations of IoU-based NMS variants to provide a more stable, consistent predictor of bounding box clustering by using a normalized Manhattan Distance inspired proximity metric to represent bounding box clustering. Unlike Greedy and Soft NMS, it does not rely solely on classification confidence scores to select optimal bounding boxes, instead selecting the box which is closest to every other box within a given cluster and removing highly confluent neighboring boxes. Confluence is experimentally validated on the MS COCO and CrowdHuman benchmarks, improving Average Precision by 0.2--2.7% and 1--3.8% respectively and Average Recall by 1.3--9.3 and 2.4--7.3% when compared against Greedy and Soft-NMS variants. Quantitative results are supported by extensive qualitative analysis and threshold sensitivity analysis experiments support the conclusion that Confluence is more robust than NMS variants. Confluence represents a paradigm shift in bounding box processing, with potential to replace IoU in bounding box regression processes.

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OBJECTIVES: The aim of this study was to discover the public's attitude and views towards privacy in health care. This is a part of a larger project which aims to gain an insight into what kind of privacy is needed and develop technical measures to provide such privacy. METHODS: The study was a two-stage process which combined qualitative and quantitative research. Stage One of the study comprised arranging and facilitating focus groups while in Stage Two we conducted a social survey. MEASUREMENTS: We measured attitudes towards privacy, medical research and consent; privacy concern about sharing one's health information for research; privacy concern about the possibility that some specific information from medical records could be linked to the patient's name in a situation that was not related to medical treatment. RESULTS: The results of the study revealed both great support for medical research (98%), and concern about privacy of health information (66%). Participants prefer to be asked for their permission before their health information is used for any purpose other than medical treatment (92%), and they would like to know the organisation and details of the research before allowing the use of their health records (83%). Age, level of education, place of birth and employment status are most strongly associated with privacy concerns. The study showed that there are some particularly sensitive issues and there is a concern (42-60%) about any possibility of linking these kinds of data to the patient's name in a situation that is not related to medical treatment. Such issues include sexually transmitted diseases, abortions and infertility, family medical history/genetic disorders, mental illness, drug/alcohol related incidents, lists of previous operations/procedures/dates and current medications. CONCLUSIONS: Participants believe they should be asked for permission before their health information is used for any purpose other than medical treatment. However, consent and privacy concerns are not necessary related. Assuring individuals that their personal health information is de-identified reduces their concern about the necessity of consent for releasing health information for research purposes, but many people are not aware that removing their names and other direct identifiers from medical records does not guarantee full privacy protection for their health information. Privacy concerns decrease as extra security measures are introduced to protect privacy. Therefore, instead of "tailoring concern" as proposed by Willison we suggest improving privacy protection of personal information by introducing additional security measures in data publishing.

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BACKGROUND: The association between celiac disease (CD) and type 1 diabetes mellitus (T1DM) is well known. Up to now, CD prevalence in children and adolescents with T1DM in Serbia has not been reported. The aim of the present study was to determine CD prevalence and its clinical manifestations in patients with T1DM. METHODS: One hundred and twenty-one patients (70 girls, 51 boys; mean age, 10.8 years) with T1DM (mean duration of diabetes, 3.4 years) and 125 control group participants (75 girls, 50 boys; mean age, 10.4 years) were tested for CD on tissue transglutaminase antibodies (tTG). In seven serologically positive T1DM patients endoscopic small bowel biopsies were taken and examined on histopathology. In all patients with CD and T1DM age, duration of T1DM, height for age, body mass index, glycosylated hemoglobin and clinical symptoms were noted. RESULTS: Nine patients with T1DM were positive on IgA tTG antibodies. In seven of them small bowel biopsy was performed, and all were proven to have CD on histopathology. The prevalence of biopsy-proven CD in children and adolescents with T1DM was significantly higher in the study group compared to controls (5.79%. vs 0.8%, P < 0.05). CONCLUSION: The significantly higher prevalence of CD in children with type 1 diabetes, in accordance with the large volume of data published in the literature, underlines the need for yearly screening of CD in patients with diabetes in order to promptly start a gluten-free diet when appropriate.

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