Philips (Italy)

Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer’s dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal control subjects based on sociodemographic, clinical, and magnetic resonance imaging (MRI) variables. 506 subjects from 5 databases were included. MRI images were processed with FreeSurfer, LPA, and TRACULA to obtain brain volumes and thicknesses, white matter lesions and diffusion metrics. MRI metrics were used in conjunction with clinical and demographic data to perform differential diagnosis based on a Support Vector Machine model called MUQUBIA (Multimodal Quantification of Brain whIte matter biomArkers). Age, gender, Clinical Dementia Rating (CDR) Dementia Staging Instrument, and 19 imaging features formed the best set of discriminative features. The predictive model performed with an overall Area Under the Curve of 98%, high overall precision (88%), recall (88%), and F1 scores (88%) in the test group, and good Label Ranking Average Precision score (0.95) in a subset of neuropathologically assessed patients. The results of MUQUBIA were explained by the SHapley Additive exPlanations (SHAP) method. The MUQUBIA algorithm successfully classified various dementias with good performance using cost-effective clinical and MRI information, and with independent validation, has the potential to assist physicians in their clinical diagnosis.

International Insolvency ReviewVolume 31, Issue 1 p. 155-157 BOOK REVIEW Confidentiality, Secrecy and Privilege in Corporate Insolvency and Bank Resolution, by Guo, Shuai and Wessels, Bob, 1 edn. The Hague: Eleven International Publishing; 2020. 200 pp, EUR 75, ISBN 978-94-6236-167-6/978-90-5931-794-9 (ebk) Giulia Vallar, Corresponding Author Giulia Vallar giulia.vallar@dlapiper.com DLA Piper, Milan, Italy Correspondence Giulia Vallar, DLA Piper, Milan, Italy. Email: giulia.vallar@dlapiper.comSearch for more papers by this author Giulia Vallar, Corresponding Author Giulia Vallar giulia.vallar@dlapiper.com DLA Piper, Milan, Italy Correspondence Giulia Vallar, DLA Piper, Milan, Italy. Email: giulia.vallar@dlapiper.comSearch for more papers by this author First published: 21 December 2021 https://doi.org/10.1002/iir.1441Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume31, Issue1Spring 2022Pages 155-157 RelatedInformation

We propose analytical design rules to predict relative maximum reach variations in NyWDM uncompensated links.Tradeoffs among system parameters are shown.Validation is demonstrated using experimental data.The method can be used also for comparison of different modulation formats.

Recently proposed non-linear propagation models allow to derive simple link optimization rules. We show that local optimization leads to global optimization (LOGO) and propose a network optimization strategy (LOGON) that allows substantial control-plane simplification.

We have demonstrated the DWDM transmission of 70 100Gb/s channels using CP-DQPSK and coherent detection with real-time DSP and FEC. The channel selection was performed with the coherent receiver only, without using any optical demultiplexing.

We show experimental results on the transmission of a Terabit superchannel, consisting of 10×120-Gb/s PM-QPSK densely-packed subcarriers. We reached 10000km with 1.1×Baud-rate subcarrier spacing and 9000km with Baud-rate subcarrier spacing. We also reached 8000km with 3 superchannels at 1.1 spacing.

OASIS is an Integrated Project with the aim to revolutionise the interoperability, quality, breadth and usability of services for all daily activities of the elderly, by developing and deploying innovative technological challenges, consisting of a new, open architecture and a hyper-ontological framework. A wide range of applications are integrated in the areas of independent living, socialization, autonomous mobility and smart workplaces. User friendliness and acceptability of OASIS services are a top priority of the project, ensured with a user-centered design approach and the development of interactive services.

Abstract The noise and resolution characteristics of a dual‐layer LCD capable of high luminance range are presented with emphasis on the measurement and analysis methods considering the parallax effect. The results are compared to an identical panel with a single‐layer structure.