Come, with Thy Lute, to the Fountain

Come, with thy lute, to the fountain; Sing me a song of the mountain;Sing happy and free;There, while the ray is declining,While its last roses are shining,Sweet shall our melodies be,Under the broad Linden tree,Under the broad Linden tree,Come, where the zephyrs are straying;Where, \u27mid the flower buds playing,Rambles the blithe summer beeLet the lone churl, in his sorrow.He, who despairs of the morrow,Far to his solitude flee,Under the dark Cypress tree,Under the dark Cypress tree

Engage D3.5 Opportunities for innovative ATM research (interim report)

This document reports on the topics and academic disciplines of past Exploratory Research projects, notably SESAR Workpackage E (long-term and innovative research) and SESAR Exploratory Research (ER) with a view of tracing the evolution of research as well as opportunities for future research. This analysis is complemented with relevant activities in Engage, such as the Engage thematic challenges

A Storm At Sea

https://digitalcommons.library.umaine.edu/mmb-vp/6564/thumbnail.jp

Analisis Sumber Daya Manusia terhadap Keterandalan Pelaporan Keuangan pada Pemerintahan Provinsi Sulawesi Utara

Researcher interested in conducting a study with "Human Resources\u27s Effect Against Financial Reporting\u27s Reliability In North Sulawesi Provincial Government” as the title, because many were relying on information in the financial reports who were published by the regional government as a basis for decision making, therefore in North Sulawesi provincial government\u27s financial reporting a reliable Human Resources is necessary. Issues in this study is: does human resources affect the reliability of financial reporting in North Sulawesi provincial government? While the goal is to determine the effect of human resources to the reliability of financial reporting. The analytical method used is simple linear regression analysis and tested using classic assumption test. As for the processing of research data SPSS version 24 were used. The test results showed that Human Resources partially have effects on North Sulawesi Provincial Government\u27s Financial Reporting Reliability

CAMERA – Mobility Report 3

The EU-funded CAMERA (Coordination and Support Action for Mobility in Europe: Research and Assessment) project is coordinated by The Innaxis Foundation and Research Institute (Spain), in partnership with the University of Westminster (UK), Bauhaus Luftfahrt (Germany), EUROCONTROL (France-Belgium) and DeepBlue (Italy). It was launched in November 2017 for a duration of 48 months. The project investigates research initiatives into the European transport system from 2007, with a special focus on air travel, its integration with other transport modes, and passenger experience. Each year CAMERA assesses projects from different research programmes to deliver a European view of the state of aviation and mobility-related research activities. For this, the team relies on two main corner stones to its project approach: 1) the systematic development of a Performance Framework to provide a means of measuring; and 2) state-of-the-art algorithms for an automated analysis of the research projects

Come, With thy Lute, to the Fountain

Come with thy lute, to the fountain;Sing me a song of the mountain;Sing of the happy and free; There, while the ray is declining,While its last roses are shining, Sweet shall our melodies be,Under the broad LInden tree,Under the broad Linden tree. Come where the Zephyrs are straying,Where \u27mid the flower buds playing,Rambles the blither summer bee.Let the lone churl in his sorrow,He who despairs of the morrow,Far to his solitude flee.Under the dark Cypress tree, Under the dark Cypress tree. Why should we droop into sadness,Nature her promise of gladnessSheds over land and over sea.Come, bring thy lute to the fountain,Sing, love, a song of the mountain,Sweet shall our melodies be,Under the broad Linden tree,Under the broad Linden tree

DATASET2050 D3.2 - Future Passenger Demand Profile

The FlightPath 2050 goal of enabling 90 per cent of European passengers to complete their door-to-door journey within four hours is a very challenging task. A major objective of the DATASET2050 project is to deliver insight into both current and future processes relating to the European transport system in this context. The deliverable D3.2 "Future Passenger Demand Profile" focuses on the future demand side of European (air) transport. Namely, the first goal is to develop a range of passenger profiles for the year 2035 and to provide implications for passenger profiles for 2050. For this purpose, the development of passenger characteristics - including demographic, geographic, socio-economic and behavioural aspects as well as particular mobility patterns - is analysed using available European data and forecasts. Based on this analysis, on specific mobility behaviour of the different member states (EU28 and EFTA countries) as well as on a high-level-factor identification, six different passenger profiles for 2035 are developed. These six profiles differ by main travel purpose (private, business and leisure, which is the combination of business and leisure trips), predominant age group, income level (low, medium, high) and several other characteristics. Furthermore, a demand model is applied showing the high relevance of gross domestic product (GDP) and education for a steady growth of passenger traffic volume in the EU28 and EFTA countries until 2050. The outcomes of the current deliverable will be put in contrast with those coming from D4.2 (Future supply profile), enabling thus a comprehensive assessment on the European door-to-door mobility in the future. Specifically, the deliverable results will be used in D5.1 (Mobility assessment), D5.2 (Assessment execution) and D5.3 (Novel concept foundations for European mobility)

DATASET2050 D5.1 - Mobility assessment

This document provides documentation on the mobility assessment metrics and methods for use within DATASET2050. On the one hand it describes what the key performance areas, attributes, indicators and metrics such as seamlessness, cost, duration, punctuality, comfort, resilience, etc. incorporated into the model are. On the other, it gives details about mobility metric computation, modelling methodology, visualisations used etc