HEDONIC REGRESSION MODELS ESTIMATION IN GIS ENVIRONMENT

Η παρούσα εργασία έχει στόχο την προβολή ενός λογισμικού που αναπτύχθηκε για να ενσωματωθεί  η  ανάλυση  πολλαπλής  γραμμικής  παλινδρόμησης  στο  περιβάλλον εργασίας ενός Γεωγραφικού Συστήματος Πληροφοριών. Μέσω του εν λόγω λογισμικού είναι δυνατή η διερεύνηση της εγγενούς αξίας χρήσης του αρδευτικού νερού μέσω της ανάλυσης της αξίας της  αγροτικής γης με τη μέθοδο της ωφελιμιστικής αποτίμησης, σε μια  μικρή  λεκάνη  απορροής,  η  οποία  βρίσκεται  στην   ευρύτερη  περιοχή  του  Δήμου Μουδανιών  στην  Χαλκιδική.  Η  μέθοδος  ωφελιμιστικής  αποτίμησης  εφαρμόζεται  χρησιμοποιώντας  ένα  σύνολο  από  χαρακτηριστικά  των  αγροτεμαχίων,  όπως  τα χαρακτηριστικά  της  ιδιοκτησίας (μέγεθος,  άρδευση,  καλλιέργεια  κλπ)  και  τα χαρακτηριστικά της «γειτονιάς» των αγροτεμαχίων (απόσταση από οικισμό, απόσταση από τη θάλασσα κλπ) με στόχο τη σύνδεσή τους με την αγοραία αξία της γης.This paper aims at highlighting a software developed to integrate multiple linear regression analysis in the environment of a Geographic Information System. Through this software is possible to investigate  the intrinsic value of irrigation water by analyzing the value of rural land with the hedonic pricing method, in a small basin, located in the greater area of the Municipality of Moudania in Chalkidiki. Hedonic pricing method is applied by using a set of characteristics of the parcels, such as the characteristics of the property (size,  irrigation, farming, etc.) and neighbourhood characteristics of the plots (distance from town, distance from the sea, etc.) in order to attribute them to land market prices

Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores

BACKGROUND: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epitopes. For Class II MHC alleles, the binding groove is open at both ends, causing ambiguity in the positional alignment between the groove and peptide, as well as creating uncertainty as to what parts of the peptide interact with the MHC. Moreover, the antigenic peptides have variable lengths, making naive modelling methods difficult to apply. This paper introduces a kernel method that can handle variable length peptides effectively by quantifying similarities between peptide sequences and integrating these into the kernel. RESULTS: The kernel approach presented here shows increased prediction accuracy with a significantly higher number of true positives and negatives on multiple MHC class II alleles, when testing data sets from MHCPEP [1], MCHBN [2], and MHCBench [3]. Evaluation by cross validation, when segregating binders and non-binders, produced an average of 0.824 A(ROC )for the MHCBench data sets (up from 0.756), and an average of 0.96 A(ROC )for multiple alleles of the MHCPEP database. CONCLUSION: The method improves performance over existing state-of-the-art methods of MHC class II peptide binding predictions by using a custom, knowledge-based representation of peptides. Similarity scores, in contrast to a fixed-length, pocket-specific representation of amino acids, provide a flexible and powerful way of modelling MHC binding, and can easily be applied to other dynamic sequence problems

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum