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| 2. |
- Ademovski, Seida Erovic, et al.
(author)
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The effect of periodontal therapy on intra-oral halitosis : a case series
- 2016
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In: Journal of Clinical Periodontology. - : John Wiley & Sons. - 0303-6979 .- 1600-051X. ; 43:5, s. 445-452
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Journal article (peer-reviewed)abstract
- AIM: The aim of this study was to evaluate the effects of non-surgical periodontal therapy on intra-oral halitosis 3 months after therapy.MATERIAL AND METHODS: Sixty-eight adults with intra-oral halitosis were included in a case series. Intra-oral halitosis was evaluated at baseline, and at 3 months after treatment using the organoleptic scores (OLS), Halimeter® , and a gas chromatograph.RESULTS: Significant reductions for OLS (p < 0.01), total sum of volatile sulphur compounds (T-VSC) (p < 0.01) and methyl mercaptan (MM) (p < 0.05) values were found after treatment. Hydrogen sulphide (H2 S) levels were not significantly reduced. The numbers of probing pockets 4 mm, 5 mm and 6 mm were significantly reduced as a result of therapy (p < 0.001). Bleeding on probing (BOP) and plaque indices were also significantly reduced (p < 0.001). For the 34 individuals with successful periodontal treatment (BOP<20% and a ≥50% reduction of total pocket depth) reductions in OLS (p < 0.01) and T-VSC scores (p < 0.01) were found. Eleven individuals were considered effectively treated for intra-oral halitosis presenting with a T-VSC value <160 ppb, a H2 S value <112 ppb and a MM value <26 ppb.CONCLUSION: Non-surgical periodontal therapy resulted in reduction of OLS, MM and T-VSC values 3 months after therapy. Few individuals were considered as effectively treated for intra-oral halitosis.
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| 4. |
- Bentell, J., et al.
(author)
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Characterisation of n-InP/n-GaAs Wafer Fused Heterojunctions
- 1999
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In: Physica scripta. T. - 0281-1847. ; 79, s. 206-208
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Journal article (peer-reviewed)abstract
- We have investigated the properties of wafer-fused Si-doped isotype hetero-junctions between GaAs and InP. Current/voltage measurements were conducted to study the influence of the doping concentrations on each side of the interface on the electrical conductivity. An almost ohmic behavior with a very low series resistance was obtained for the highest examined doping level on the GaAs side, whereas the doping concentration on the InP side was found to be of little significance. Fusion at different temperatures showed that the conductivity degrades significantly below 500°C, although mechanically stable junctions were obtained also at temperatures as low as 305°C. Secondary ion mass spectroscopy measurements showed no redistribution of Si, but indicated the presence of small amounts of C and Fe impurities at the interface.
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| 5. |
- di Bernardo, M., et al.
(author)
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Bifurcations in Nonsmooth Dynamical Systems
- 2008
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In: SIAM Review. - : Society for Industrial & Applied Mathematics (SIAM). - 0036-1445 .- 1095-7200. ; 50:4, s. 629-701
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Research review (peer-reviewed)abstract
- A review is presented of the one-parameter, nonsmooth bifurcations that occur in a variety of continuous-time piecewise-smooth dynamical systems. Motivated by applications, a pragmatic approach is taken to defining a discontinuity-induced bifurcation (DIB) as a nontrivial interaction of a limit set with respect to a codimension-one discontinuity boundary in phase space. Only DIBs that are local are considered, that is, bifurcations involving equilibria or a single point of boundary interaction along a limit cycle for flows. Three classes of systems are considered, involving either state jumps, jumps in the vector field, or jumps in some derivative of the vector field. A rich array of dynamics are revealed, involving the sudden creation or disappearance of attractors, jumps to chaos, bifurcation diagrams with sharp corners, and cascades of period adding. For each kind of bifurcation identified, where possible, a kind of "normal form" or discontinuity mapping (DM) is given, together with a canonical example and an application. The goal is always to explain dynamics that may be observed in simulations of systems which include friction oscillators, impact oscillators, DC-DC converters, and problems in control theory.
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| 6. |
- Dittmar, Jakob
(author)
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Graffiti als En-Passant-Medien im städtischen Raum
- 2013
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In: Medien als Mittel urbaner Kommunikation. - : Peter Lang Publishing Group. - 9783631640784 ; , s. 55-71
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Book chapter (peer-reviewed)abstract
- Graffiti as communication-medium in public spaces. Considering messages as image & text - message. Graffiti here are seen in the context of other media of public communication, esp. en passant media.
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| 8. |
- Escale-Besa, A., et al.
(author)
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Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care
- 2023
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In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 13:1
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Journal article (peer-reviewed)abstract
- Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and disease classification. The objective of this study was to perform a prospective validation of an image analysis ML model, which is capable of screening 44 skin diseases, comparing its diagnostic accuracy with that of General Practitioners (GPs) and teledermatology (TD) dermatologists in a real-life setting. Prospective, diagnostic accuracy study including 100 consecutive patients with a skin problem who visited a participating GP in central Catalonia, Spain, between June 2021 and October 2021. The skin issue was first assessed by the GPs. Then an anonymised skin disease picture was taken and uploaded to the ML application, which returned a list with the Top-5 possible diagnosis in order of probability. The same image was then sent to a dermatologist via TD for diagnosis, as per clinical practice. The GPs Top-3, ML model's Top-5 and dermatologist's Top-3 assessments were compared to calculate the accuracy, sensitivity, specificity and diagnostic accuracy of the ML models. The overall Top-1 accuracy of the ML model (39%) was lower than that of GPs (64%) and dermatologists (72%). When the analysis was limited to the diagnoses on which the algorithm had been explicitly trained (n = 82), the balanced Top-1 accuracy of the ML model increased (48%) and in the Top-3 (75%) was comparable to the GPs Top-3 accuracy (76%). The Top-5 accuracy of the ML model (89%) was comparable to the dermatologist Top-3 accuracy (90%). For the different diseases, the sensitivity of the model (Top-3 87% and Top-5 96%) is higher than that of the clinicians (Top-3 GPs 76% and Top-3 dermatologists 84%) only in the benign tumour pathology group, being on the other hand the most prevalent category (n = 53). About the satisfaction of professionals, 92% of the GPs considered it as a useful diagnostic support tool (DST) for the differential diagnosis and in 60% of the cases as an aid in the final diagnosis of the skin lesion. The overall diagnostic accuracy of the model in this study, under real-life conditions, is lower than that of both GPs and dermatologists. This result aligns with the findings of few existing prospective studies conducted under real-life conditions. The outcomes emphasize the significance of involving clinicians in the training of the model and the capability of ML models to assist GPs, particularly in differential diagnosis. Nevertheless, external testing in real-life conditions is crucial for data validation and regulation of these AI diagnostic models before they can be used in primary care.
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