Search results for "leverage"

Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

Pathways towards a sustainable future envisioned by early-career conservation researchers

2021

Scientists have warned decision-makers about the severe consequences of the global environmental crisis since the 1970s. Yet ecological degradation continues and little has been done to address climate change. We investigated early-career conservation researchers' (ECR) perspectives on, and prioritization of, actions furthering sustainability. We conducted a survey (n = 67) and an interactive workshop (n = 35) for ECR attendees of the 5th European Congress of Conservation Biology (2018). Building on these data and discussions, we identified ongoing and forthcoming advances in conservation science. These include increased transdisciplinarity, science communication, advocacy in conservati…

Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales

2015

Summary We present a hierarchical latent variable model that partitions variation in species occurrences and co-occurrences simultaneously at multiple spatial scales. We illustrate how the parameterized model can be used to predict the occurrences of a species by using as predictors not only the environmental covariates, but also the occurrences of all other species, at all spatial scales. We leverage recent progress in Bayesian latent variable models to implement a computationally effective algorithm that enables one to consider large communities and extensive sampling schemes. We exemplify the framework with a community of 98 fungal species sampled in c. 22 500 dead wood units in 230 plot…

Opportunities and challenges for drug development: public-private partnerships, adaptive designs and big data

2016

Drug development faces the double challenge of increasing costs and increasing pressure on pricing. To avoid that lack of perceived commercial perspective will leave existing medical needs unmet, pharmaceutical companies and many other stakeholders are discussing ways to improve the efficiency of drug Research and Development. Based on an international symposium organized by the Medical School of the University of Duisburg-Essen (Germany) and held in January 2016, we discuss the opportunities and challenges of three specific areas, i.e., public-private partnerships, adaptive designs and big data. Public-private partnerships come in many different forms with regard to scope, duration and typ…

An Industrial Automation Course: Common Infrastructure for Physical, Virtual and Remote Laboratories for PLC Programming

2018

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">This work describes the development of a teaching strategy to leverage current simulation tools and promote learning of industrial automation systems. Specifically, Programmable Logic Controller (PLC) programming in an industrial automation course. We propose an infrastructure where it is possible to work with physical, virtual and mixed laboratories</span>

The Impact of Lbos on Investment Policies and Operations of Acquired French Firms

2002

This paper evaluates the extent that French LBO targets’ investment policy and operations can account for their overperformance discrepancy. Our empirical study has been carried out on 132 French LBOs between 1989 and 1994. The results show that the abnormal plunge in economic return cannot be explained by overinvestments or by inefficient working capital management. Nevertheless, abnormal increases in wages, supplies and/or sales price reductions appear to be prominent.

The Importance of Alliances in Firm Capital Structure Decisions: Evidence from Biotechnology Firms

2015

Building on finance research, we argue that the ex post hazards arising from alliance formation depend upon the firm's financial condition. Financial distress jeopardizes the continuity of an alliance and the value of the investments involved. Thus, firms should reduce leverage to signal continued commitment and to induce investments from alliance partners. Accordingly, we find that a firm's current alliance propensity predicts its subsequent capital structure decisions and that this relationship is most pronounced in the presence of other exchange hazards. Our paper contributes to alliance research and to the growing literature discussing the strategic consequences of capital structure. Co…

The role of firm capital structure in alliance formation

2013

Material Substitution for Automotive Applications: A Comparative Life Cycle Analysis

2012

Lightweight materials have become an important strategy in the automotive industry to enable vehicle weight reduction and reduce fuel consumption. However, when developing specific strategies, the overall benefits of any material should be analyzed throughout its life cycle to comprehend energy/environmental differences that arise during its processing and its final use. A key example is aluminum which despite having great potential in the use phase requires large amounts of energy to process. This paper provides a comparison between aluminum and steel utilizing a life-cycle approach. This approach reveals the importance of incorporating a recycling strategy to leverage aluminum’s low-weigh…

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection

2021

Detecting anomalous changes in remote sensing images is a challenging problem, where many approaches and techniques have been presented so far. We rely on the standard field of multivariate statistics of diagnostic measures, which are concerned about the characterization of distributions, detection of anomalies, extreme events, and changes. One useful tool to detect multivariate anomalies is the celebrated Cook's distance. Instead of assuming a linear relationship, we present a novel kernelized version of the Cook's distance to address anomalous change detection in remote sensing images. Due to the large computational burden involved in the direct kernelization, and the lack of out-…