Does land fragmentation affect farm performance? A case study from Brittany. Factor Markets Working Paper No. 40, April 2013

Agricultural land fragmentation is widespread and may affect farmers’ decisions and impact farm performance, either negatively or positively. The authors investigated this impact for the western region of Brittany, France, in 2007, regressing a set of performance indicators on a set of fragmentation descriptors. The performance indicators (production costs, yields, revenue, profitability, technical and scale efficiency) were calculated at the farm level using Farm Accountancy Data Network (FADN) data, while the fragmentation descriptors were calculated at the municipality level using data from the cartographic field pattern registry (RPG). The various fragmentation descriptors enabled the authors to account for not only the traditional number and average size of plots, but also their geographical scattering. They found that farms experienced higher costs of production, lower crop yields and lower profitability where land fragmentation (LF) was more pronounced. Total technical efficiency was not found to be significantly related to any of the municipality LF descriptors used, while scale efficiency was lower where the average distance to the nearest neighbouring plot was greater. Pure technical efficiency was found to be negatively related to the average number of plots in the municipality, with the unexpected result that it was also positively related to the average distance to the nearest neighbouring plot. By simulating the impact of hypothetical consolidation programmes on average pre-tax profits and wheat yield, the study also showed that the marginal benefits of reducing fragmentation may differ with respect to the improved LF dimension and the performance indicator considered. The analysis therefore shows that the measures of land fragmentation usually used in the literature do not reveal the full set of significant relationships with farm performance and that, in particular, measures accounting for distance should be considered more systematically.

Influence of Agricultural Support on Sale Prices of French Farmland: A comparison of different subsidies, accounting for the role of environmental and land regulations. Factor Markets Working Document No. 51, June 2013

This paper investigates the determinants of agricultural land price in several regions in France over the period 1994-2011, using individual plot transaction data, with a particular emphasis on agricultural subsidies and nitrate zoning regulations. It found a positive but relatively small capitalisation effect of the total subsidies per hectare. The data revealed that agricultural subsidies capitalised, at least to some extent, but the magnitude of such a capitalisation depends on the region considered, on the type of subsidy considered, and on the location of the plot in a nitrate surplus zone or not. Only land set-aside premiums significantly capitalise into land price, while single farm payments have a significant positive capitalisation impact only for plots located in a nitrate-surplus zone.

Synthesis Report on the Impact of Capital Use. Factor Markets Working Document No. 57, August 2013

This paper examines the drivers of productivity in EU agriculture from a factor markets perspective. Using econometrically estimated production elasticities and shadow prices of factors for a set of eight EU member states, we focus on field crop farms represented in the FADN database for the years 2002-08. As it turned out that output reacts most elastically to materials input, we investigate this factor further and find different rationing regimes represented in different member states. Marginal return on materials is low in Denmark and West Germany, but significantly above typical market interest rates in East Germany, Italy and Spain. In the latter countries and in Denmark it also increased towards the end of the observed period. This finding is consistent with a perception of tightening funding access, possibly induced or reinforced by the unfolding financial crisis. Marginal returns to land, labour and fixed capital are generally low. We conclude that the functioning of factor markets plays a crucial role for productivity growth, but that factor market operations display considerable heterogeneity across EU member states.

Empirical Evidence of the Distributional Effects of the CAP in the New EU Member States. Factor Markets Working Document No. 58, August 2013

This study, carried out in the context of the Factor Markets research project, investigates the impact of the SAPS (Single Area Payment Scheme) on farmland rental rates in the new EU member states. Using a unique set of farm level panel data with 20,930 observations for 2004 and 2005 we are able to control for important sources of endogeneity. According to our results, the SAPS has a positive and statistically significant impact on land rents in the EU. However, the estimated incidence is smaller than predicted theoretically. Land rents capture only 19 cents of the marginal SAPS euro, and around 10% of the SAPS benefit non-farming landowners through higher farmland rental prices. As the share of rented land is higher in corporate farms than individual ones, family farms benefit more from the SAPS than corporate farms do.

Identification of cyclins A1, E1 and vimentin as downstream targets of heme oxygenase-1 in vascular endothelial growth factor-mediated angiogenesis

Angiogenesis is an essential physiological process and an important factor in disease pathogenesis. However, its exploitation as a clinical target has achieved limited success and novel molecular targets are required. Although heme oxygenase-1 (HO-1) acts downstream of vascular endothelial growth factor (VEGF) to modulate angiogenesis, knowledge of the mechanisms involved remains limited. We set out identify novel HO-1 targets involved in angiogenesis. HO-1 depletion attenuated VEGF-induced human endothelial cell (EC) proliferation and tube formation. The latter response suggested a role for HO-1 in EC migration, and indeed HO-1 siRNA negatively affected directional migration of EC towards VEGF; a phenotype reversed by HO-1 over-expression. EC from Hmox1(-/-) mice behaved similarly. Microarray analysis of HO-1-depleted and control EC exposed to VEGF identified cyclins A1 and E1 as HO-1 targets. Migrating HO-1-deficient EC showed increased p27, reduced cyclin A1 and attenuated cyclin-dependent kinase 2 activity. In vivo, cyclin A1 siRNA inhibited VEGF-driven angiogenesis, a response reversed by Ad-HO-1. Proteomics identified structural protein vimentin as an additional VEGF-HO-1 target. HO-1 depletion inhibited VEGF-induced calpain activity and vimentin cleavage, while vimentin silencing attenuated HO-1-driven proliferation. Thus, vimentin and cyclins A1 and E1 represent VEGF-activated HO-1-dependent targets important for VEGF-driven angiogenesis.

LPS regulates a set of genes in primary murine macrophages by antagonising CSF-1 action

We previously reported that bacterial products such as LPS and CpG DNA down-modulated cell surface levels of the Colony Stimulating Factor (CSF)-1 receptor (CSF-1R) on primary murine macrophages in an all-or-nothing manner. Here we show that the ability of bacterial products to down-modulate the CSF-IR rendered bone marrow-derived macrophages (BMM) unresponsive to CSF-1 as assessed by Akt and ERK 1/2 phosphorylation. Using toll-like receptor (th-)9 as a model CSF-1-repressed gene, we show that LPS induced tlr9 expression in BMM only when CSF-1 was present, suggesting that LPS relieves CSF-1-mediated inhibition to induce gene expression. Using cDNA microarrays, we identified a cluster of similarly CSF-1 repressed genes in BMM. By real time PCR we confirmed that the expression of a selection of these genes, including integral membrane protein 2B (itm2b), receptor activity-modifying protein 2 (ramp2) and macrophage-specific gene 1 (mpg-1), were repressed by CSF-1 and were induced by LPS only in the presence of CSF-1. This pattern of gene regulation was also apparent in thioglycollate-elicited peritoneal macrophages (TEPM). LPS also counteracted CSF-1 action to induce mRNA expression of a number of transcription factors including interferon consensus sequence binding protein 1 (Icsbp1), suggesting that this mechanism leads to transcriptional reprogramming in macrophages. Since the majority of in vitro studies on macrophage biology do not include CSF-1, these genes represent a set of previously uncharacterised LPS-inducible genes. This study identifies a new mechanism of macrophage activation, in which LPS (and other toll-like receptor agonists) regulate gene expression by switching off the CSF-1R signal. This finding also provides a biological relevance to the well-documented ability of macrophage activators to down-modulate surface expression of the CSF-1R. (C) 2005 Elsevier GmbH. All rights reserved.

Factor structure of the Mood and Anxiety Symptom Questionnaire does not generalize to an anxious/depressed sample

Objective: The tripartite model of anxiety and depression has been proposed as a representation of the structure of anxiety and depression symptoms. The Mood and Anxiety Symptom Questionnaire (MASQ) has been put forwards as a valid measure of the tripartite model of anxiety and depression symptoms. This research set out to examine the factor structure of anxiety and depression symptoms in a clinical sample to assess the MASQ's validity for use in this population. MethodsThe present study uses confirmatory factor analytic methods to examine the psychometric properties of the MASQ in 470 outpatients with anxiety and mood disorder. Results: The results showed that none of the previously reported two-factor, three-factor or five-factor models adequately fit the data, irrespective of whether items or subscales were used as the unit of analysis. Conclusions: It was concluded that the factor structure of the MASQ in a mixed anxiety/depression clinical sample does not support a structure consistent with the tripartite model. This suggests that researchers using the MASQ with anxious/depressed individuals should be mindful of the instrument's psychometric limitations.

Discovering user access pattern based on probabilistic latent factor model

There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not only offer benefits for web site structure improvement but also for better understanding of user navigational behavior. In this paper, we present a web usage mining method, which utilize web user usage and page linkage information to capture user access pattern based on Probabilistic Latent Semantic Analysis (PLSA) model. A specific probabilistic model analysis algorithm, EM algorithm, is applied to the integrated usage data to infer the latent semantic factors as well as generate user session clusters for revealing user access patterns. Experiments have been conducted on real world data set to validate the effectiveness of the proposed approach. The results have shown that the presented method is capable of characterizing the latent semantic factors and generating user profile in terms of weighted page vectors, which may reflect the common access interest exhibited by users among same session cluster.

Public capital and total factor productivity:new evidence from the Italian regions, 1970-98

This paper analyses the relationship between industrial total factor productivity and public capital across the 20 Italian administrative regions. It adds upon the existing literature in a number of ways: it analyses a longer period (1970-98); it allows for the role of human capital accumulation; it tests for the existence of a long-run relationship between total factor productivity and public capital (through previously suggested panel techniques) and for weak exogeneity of public capital; and it assesses the significance of public capital within a non-parametric set-up based on the Free Disposal Hull. The results confirm that public capital has a significant impact on the evolution of total factor productivity, particularly in the Southern regions. This impact is mainly ascribed to the core infrastructures (road and airports, harbours, railroads, water and electricity, telecommunications). Also, core infrastructures are weakly exogenous. © 2005 Regional Studies Association.

Secretion of tumor necrosis factor by human leukocytes stimulated with shark cartilage

To assess the role of shark cartilage as an immune modulator, acid, salt-soluble, and phosphate-buffered saline extracts were prepared from three different commercial sources (SL, TL, FDC) of cartilage and used to stimulate human leukocytes in vitro. Duplicate leukocyte cultures were set up, each containing 50 $\mu$l of endotoxin-free extract, 200 $\mu$l of cell suspension (2.4-2.5 $\times$ 10$\sp5$ cells) and 100 $\mu$l of medium and incubated at 37$\sp\circ$C. Cultures stimulated with LPS (5 $\mu$g/ml) or medium served as the positive and negative controls, respectively. Culture supernatants were assayed for TNF$\alpha$ by ELISA. Cartilage extracts stimulated cells to release significant levels of TNF$\alpha$ (p $<$.005); the highest response was obtained with the acid extract of SL cartilage. In comparison, response to corresponding extracts of bovine cartilage was lower (p $<$.05). The stimulatory activity was reduced (85%) following proteolytic digestion, and lost when extract was heated (60$\sp\circ$C, 20 min) or treated with urea (6M), suggesting that the active component(s) is a protein. ^

*Adoption status: A risk factor or protective factor for children of divorced families

This study examined two competitive hypotheses: the double jeopardy hypothesis and the buffering effect hypothesis on whether parental divorce affects adopted children and non-adopted children similarly or differently. The double jeopardy hypothesis suggests that when adopted children experience their parents' divorce, they perform worse because they carry two risk factors, adoption status and parental divorce, while their non-adopted counterparts carry only the risk factor of their parents' divorce. The buffering effect hypothesis suggests that, being adopted children, their previous experiences of parental loss help them better deal with the later loss of their parents' divorce so their adoption status is a protective factor rather than a risk factor. ^ Secondary analyses of a nation-wide data set were executed using different statistical methods such as ANOVA and Chi-square on different outcome variables. The results indicated that there was no evidence supporting the double-jeopardy hypothesis. That is, adopted children from divorced families did not perform significantly worse than the non-adopted children from divorced families on any outcome variable. The results also indicated that there was only weak evidence supporting the buffering effect hypothesis. The general conclusion based on the results from most of the outcome variables suggest that adopted children from divorced families do not perform differently than the biological children from divorced families. ^