Fulfilled and missed requirements for online reservation systems: an empirical investigation of Austrian and Swiss hotels

Temporal data are a core element of a reservation. In this paper we formulate 10 requirements and 14 sub-requirements for handling temporal data in online hotel reservation systems (OHRS) from a usability viewpoint. We test the fulfillment of these requirements for city and resort hotels in Austria and Switzerland. Some of the requirements are widely met; however, many requirements are fulfilled only by a surprisingly small number of hotels. In particular, numerous systems offer options for selecting data which lead to error messages in the next step. A few screenshots illustrate flaws of the systems. We also draw conclusions on the state of applying software engineering principles in the development of Web pages.

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.

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.

Allowable carbon emissions lowered by multiple climate targets

Climate targets are designed to inform policies that would limit the magnitude and impacts of climate change caused by anthropogenic emissions of greenhouse gases and other substances. The target that is currently recognized by most world governments1 places a limit of two degrees Celsius on the global mean warming since preindustrial times. This would require large sustained reductions in carbon dioxide emissions during the twenty-first century and beyond2, 3, 4. Such a global temperature target, however, is not sufficient to control many other quantities, such as transient sea level rise5, ocean acidification6, 7 and net primary production on land8, 9. Here, using an Earth system model of intermediate complexity (EMIC) in an observation-informed Bayesian approach, we show that allowable carbon emissions are substantially reduced when multiple climate targets are set. We take into account uncertainties in physical and carbon cycle model parameters, radiative efficiencies10, climate sensitivity11 and carbon cycle feedbacks12, 13 along with a large set of observational constraints. Within this framework, we explore a broad range of economically feasible greenhouse gas scenarios from the integrated assessment community14, 15, 16, 17 to determine the likelihood of meeting a combination of specific global and regional targets under various assumptions. For any given likelihood of meeting a set of such targets, the allowable cumulative emissions are greatly reduced from those inferred from the temperature target alone. Therefore, temperature targets alone are unable to comprehensively limit the risks from anthropogenic emissions.