On Estimation of the Effect Lag of Predictors and Prediction in a Functional Linear Model

We propose a functional linear model to predict a functional response using multiple functional and longitudinal predictors and to estimate the effect lags of predictors. The coefficient functions are written as the expansion of a basis system (e.g. functional principal components, splines), and the coefficients of the basis functions are estimated via optimizing a penalization criterion. Then effect lags are determined by simultaneously searching on a prior designed grid mesh based on minimization of a proposed prediction error criterion. Mathematical properties of the estimated regression functions and predicted responses are studied. The performance of the method is evaluated by extensive simulations and a real data analysis application on chronic obstructive pulmonary disease (COPD)

How do cytokines trigger genomic instability?

Inflammation is a double-edged sword presenting a dual effect on cancer development, from one hand promoting tumor initiation and progression and from the other hand protecting against cancer through immunosurveillance mechanisms. Cytokines are crucial components of inflammation, participating in the interaction between the cells of tumor microenvironment. A comprehensive study of the role of cytokines in the context of the inflammation-tumorigenesis interplay helps us to shed light in the pathogenesis of cancer. In this paper we focus on the role of cytokines in the development of genomic instability, an evolving hallmark of cancer. © 2012 Ioannis L. Aivaliotis et al

Association Between Isokinetic Knee Strength Characteristics and Single-Leg Hop Performance In Healthy Young Participants

Objective: The purpose of this study was to determine the extent to which the mean peak moment (MPM) of knee flexors and extensors could predict performance in a group of healthy individuals. Methods: Eighty-four healthy individuals—32 men and 52 women (mean age, 22.1 ± 3 years; range, 18-35 years)—participated in this study. Isokinetic unilateral concentric knee flexor and extensor MPM was assessed isokinetically at angular velocities of 60°/s and 180°/s. Functional performance was assessed using the single hop of distance (SHD). Results: Positive moderate to good statistically significant correlations (r = .636 to r = .673) were found between knee flexor and extensor MPM at 60°/s and 180°/s for the SHD test. Knee flexor and extensor MPMs are strong predictors for the SHD test at 60°/s and 180°/s (R2 = .40 to R2 = .45). Conclusion: Knee flexor and extensor strength was substantially correlated with SHD. © 202

UniProt-Related Documents (UniReD): assisting wet lab biologists in their quest on finding novel counterparts in a protein network

The in-depth study of protein–protein interactions (PPIs) is of key importance for understanding how cells operate. Therefore, in the past few years, many experimental as well as computational approaches have been developed for the identification and discovery of such interactions. Here, we present UniReD, a user-friendly, computational prediction tool which analyses biomedical literature in order to extract known protein associations and suggest undocumented ones. As a proof of concept, we demonstrate its usefulness by experimentally validating six predicted interactions and by benchmarking it against public databases of experimentally validated PPIs succeeding a high coverage. We believe that UniReD can become an important and intuitive resource for experimental biologists in their quest for finding novel associations within a protein network and a useful tool to complement experimental approaches (e.g. mass spectrometry) by producing sorted lists of candidate proteins for further experimental validation. UniReD is available at http://bioinformatics.med.uoc.gr/unired/. © The Author(s) 2020. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics

5G-IANA - D2.1 Specifications of the 5G-IANA architecture

<p>This deliverable has the objective to provide the outcomes of the activities performed in Work Package (WP) 2 "Specifications". The activities included the design of the 5G-IANA Automotive Open Experimentation Platform (AOEP) and the requirements specification of each architecture layer. The specified 5G-IANA architecture capitalizes on the 5G prospect of being a unified multi-service platform by orchestrating Vertical Services based on virtualized network slices and coordination of distributed edge-to-cloud deployment.</p><p>The 5G-IANA AOEP aims to provide an open and flexible experimentation platform to third-parties developers (e.g., SMEs) that want to develop new 5G-based services devoted to the Automotive vertical. The availability of an easy-to-use experimentation environment can facilitate the launch of new services creating new market opportunities. Moreover, 5G-IANA will actively address the configuration of the 5G network (e.g., network slicing, edge resources, etc.) with the objective of supporting in the best way the requirements of the new services. In this way, it will be also possible to verify if the current 5G implementation can adequately satisfy the highly demanding performance requirements of Automotive services.</p&gt