Target difficulty, intra-year target revisions and firm performance: evidence from business units' targets

Target difficulty is often argued to increase performance. While this association is well established in experimental research, empirical evidence in field research is rather mixed. We attempt to explain this inconsistency by analyzing the importance of intra-year target revisions, which are especially prevalent in real-world field settings. Using survey and archival data from 97 firms, we find that firms with more challenging business unit targets revise targets more often, in line with asymmetric, downward target revisions. Results further show that the degree to which targets are revised during a period results in negative effects on firm performance, as the anticipation of revision negatively affects the business unit management’s performance incentives. Additionally, we find that using targets predominantly for either decision-making or control influences the overall performance effects of target revisions. Our findings may partially explain the mixed field study evidence regarding the effects of target difficulty.

Approximate decoding approaches for network coded correlated data

This paper considers a framework where data from correlated sources are transmitted with the help of network coding in ad hoc network topologies. The correlated data are encoded independently at sensors and network coding is employed in the intermediate nodes in order to improve the data delivery performance. In such settings, we focus on the problem of reconstructing the sources at decoder when perfect decoding is not possible due to losses or bandwidth variations. We show that the source data similarity can be used at decoder to permit decoding based on a novel and simple approximate decoding scheme. We analyze the influence of the network coding parameters and in particular the size of finite coding fields on the decoding performance. We further determine the optimal field size that maximizes the expected decoding performance as a trade-off between information loss incurred by limiting the resolution of the source data and the error probability in the reconstructed data. Moreover, we show that the performance of the approximate decoding improves when the accuracy of the source model increases even with simple approximate decoding techniques. We provide illustrative examples showing how the proposed algorithm can be deployed in sensor networks and distributed imaging applications.

Osteopontin and cadherin 11 are novel mediators and drug targets for chronic lung diseases

Chronic lung diseases (CLDs) are a considerable source of morbidity and mortality and are thought to arise from dysregulation of normal wound healing processes. An aggressive, feature of many CLDs is pulmonary fibrosis (PF) and is characterized by excess deposition of extracellular matrix (ECM) proteins from myofibroblasts in airways. However, factors regulating myofibroblast biology are incompletely understood. Proteins in the cadherin family contribute epithelial to mesenchymal transition (EMT), a suggested source of myofibroblasts. Cadherin 11 (CDH11) contributes to developmental and pathologic processes that parallel those seen in PF and EMT. Utilizing Cdh11 knockout (Cdh11 -/-) mice, the goal of this study was to characterize the contribution of CDH11 in the bleomycin model of PF and assess the feasibility of treating established PF. We demonstrate CDH11 in macrophages and airway epithelial cells undergoing EMT in lungs of mice given bleomycin and patients with PF. Endpoints consistent with PF including ECM production and myofibroblast formation are reduced in CDH11-targeted mice given bleomycin. Findings suggesting mechanisms of CDH11-dependent fibrosis include the regulation of the profibrotic mediator TGF-â in alveolar macrophages and CDH11-mediated EMT. The results of this study propose CDH11 as a novel drug target for PF. In addition, another CLD, chronic obstructive pulmonary disease (COPD), is characterized by airway inflammation and destruction. Adenosine, a nucleoside signaling molecule generated in response to cell stress is upregulated in patients with COPD and is suggested to contribute to its pathogenesis. An established model of adenosine-mediated lung injury exhibiting features of COPD is the Ada -/- mouse. Previous studies in our lab suggest features of the Ada -/- phenotype may be secondary to adenosine-dependent expression of osteopontin (OPN). OPN is a protein implicated in a variety of human pathology, but its role in COPD has not been examined. To address this, Ada/Opn -/- mice were generated and endpoints consistent with COPD were examined in parallel with Ada -/- mice. Results demonstrate OPN-mediated pulmonary neutrophilia and airway destruction in Ada -/- mice. Furthermore, patients with COPD exhibit increased OPN in airways which correlate with clinical airway obstruction. These results suggest OPN represents a novel biomarker or therapeutic target for the management of patients with COPD. The importance of findings in this thesis is highlighted by the fact that no pharmacologic interventions have been shown to interfere with disease progression or improve survival rates in patients with COPD or PF.

The closing door of climate targets

Robust evidence from a range of climate–carbon cycle models shows that the maximum warming relative to pre-industrial times caused by the emissions of carbon dioxide is nearly proportional to the total amount of emitted anthropogenic carbon (1, 2). This proportionality is a reasonable approximation for simulations covering many emissions scenarios for the time frame 1750 to 2500 (1). This linear relationship is remarkable given the different complexities of the models and the wide range of emissions scenarios considered. It has direct implications for the possibility of achieving internationally agreed climate targets such as those mentioned in the Copenhagen Accord and the Cancun Agreements (3, 4). Here I explain some of the implications of the linear relationship between peak warming and total cumulative carbon emissions.