Urban Land Use Efficiency Under Resource-Based Economic Transformation—A Case Study of Shanxi Province.

Shanxi, one of China’s provinces, has been approved by the State Council as the only state-level comprehensive reform zone for resource-based economic transformation in 2010. Consequently, the implementation of National Resource-based Cities Sustainable Development Planning (2013–2020) and The State Council on Central and Western Regions Undertaking of Industrial Trans-formation Guide were also introduced. As a result, many agricultural lands were urbanized. The question is whether the transformed land was used efficiently. Existing research is limited re-garding the impact of the government-backed transformation of the resource-based economy, industrial restructuring, and urbanization on land use efficiency. This research investigates urban land use efficiency under the government-backed resource-based economy transformation using the Bootstrap-DEA and Bootstrap-Malmquist methods. The land use efficiency and land produc-tivity indexes were produced. Based on the empirical study of 11 prefectural cities, the results suggest that the level of economic development and industrial upgrading are the main determi-nants of land use efficiency. The total land productivity index declined after the economic reform was initiated. The findings imply that the government must enhance monitoring and auditing during policy implementation and evaluate the policy effects after for further improvement. With the scarcity of land resources and urban expansion in many cities worldwide, this research also provides an approach to determining the main determinants of land use efficiency that could guide our understanding of the impact of the future built environment. Keywords: land use efficiency; land producti

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

SCEE 2008 book of abstracts : the 7th International Conference on Scientific Computing in Electrical Engineering (SCEE 2008), September 28 – October 3, 2008, Helsinki University of Technology, Espoo, Finland

This report contains abstracts of presentations given at the SCEE 2008 conference.reviewe

Vibrations prediction and measurement of multi-stage bladed disks with non linear behavior due to friction contacts

The architecture of current aircraft turbofan engines consists of multi-stage assemblies resulting from the coupling of bladed disks by means of bolted flange joints. The efficiency of such systems in real working condition is strictly related to the dynamic properties of blades and disks constituting them. According to the current design practices, blades and disks are designed so that their weights are reduced and their slenderness increased. Therefore, latest generation turbofan engine thus result much more sensible to mechanical vibrations that may cause failure by high cycle fatigue phenomena. For these reasons robust computational techniques and innovative measurement systems have become necessary tools for the design and validation of multi-stage bladed disks assemblies, in order to preserve their structural integrity while operating in real working conditions. The topics developed in this Ph.D. thesis concern aspects of linear and non-linear dynamics in the turbomachinery field and give a series of important guidelines for the study of multi-stage bladed disks systems from both a numerical and experimental point of view. The research activity has been mainly focused on the following two topics: 1. Development of reduced order model techniques for the prediction of forced response of multi-stage bladed disk assemblies. The main challenge associated with modeling multi-stage assemblies is strictly related to the possible different cyclic symmetry characterizing the coupled stages. In such case a sector representative of the whole multi-stage system does not exist in general and typical dynamic calculations based on cyclic constraints can not be performed as in the case of single bladed disks. Therefore, two novel reduced order model techniques for multi-stage systems have been developed in order to overcome the mentioned drawback while guaranteeing high fidelity in modeling the system dynamics. Furthermore, for the first time the bolted flange joint coupling two bladed disks is considered as a possible source of damping due to friction phenomena. Understanding the effects of such non-linearities in damping blade vibrations could be crucial in design of bolted flange joint. The proposed reduction techniques then also allow the prediction of the forced response of a multi-stage system when friction contacts are present at the flange joint interface while maintaining low computational costs. 2. Validation of the Blade Tip-Timing measurement technique, for the identification of the modal properties of two laboratory dummy disks. In this frame an experimental procedure to validate the Blade Tip-Timing system against the strain gauges measurement has been proposed. Furthermore, a novel methodology for the identification of the operative deflection shape of a vibrating bladed disks in presence of small mistuning has been developed

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Modeling complex cellular systems: from differential equations to constraint-based models

In the beginning of the 20th century, scientists realized the necessity of purifying enzymes to unravel their mechanistic nature. A century and tremendous progresses in the natural sciences later, molecular and systems biology became fundamental pillars of modern biology. Moreover, natural scientists developed an increasing interest in theoretical models. In the first part of my thesis, I present my contribution to the field of studying the dynamics of biological phenomena. I present fundamental issues arising, when neglecting substrate inhibition in kinetic modeling. Furthermore, I describe a model that considers experimental data to simulate the transition of normal proliferating into cellular senescent cells. Since large-scaled models are more comprehensive, they commonly prohibit a mechanistic modeling approach. In order to analyze such models, nevertheless, constraint-based methods proved to be suitable tools. In the second part of my thesis, I contribute three studies to constraint-based modeling. I describe the established concept of elementary flux modes, which resemble non-decomposable and theoretically feasible pathways of metabolic networks. Subsequently, I present the analysis of the nitrogen metabolism network of Chlamydomonas reinhardtii with respect to circadian regulation, which gives rise to about three million elementary flux modes. In the last study, I present a comprehensive work on metabolic costs of amino acid and protein production in Escherichia coli. These costs were manually calculated as well as based on a flux balance analysis of an E. coli genome-scale metabolic model. Both approaches, either dynamic or constraint-based modeling, proved to be suitable strategies to describe biological processes at different levels. Whereas dynamic modeling allowed for a precise description of the temporal behavior of biological species, constraint-based modeling enabled studies, where the complexity of the investigated phenomena prohibits kinetic modeling