Ownership and governance of Finnish infrastructure networks

This research report investigates and analyzes the pros and cons of different ownership and governance models of infrastructure networks. The report covers most infrastructure networks: transportation networks (roads, streets, railways, airports, harbors) and utility networks (water and sewage, energy and electricity). There is no unifying solution that would fit all sectors in terms of the most efficient ownership model. However, in many sectors reforms are needed towards more elaborated client-supplier frameworks to ensure greater efficiency and cost transparency. Surprisingly, traditional organizational structures do not seem to impact on financial returns of those networks that provide user-financed services. In Finland technical infrastructure networks are typically owned, administered and managed by the public sector as they are considered public goods and critical assets for the wellbeing of citizens. In many ways the sectors have remained passive and with little interaction towards more innovative service provision solutions or organizational models. In terms of developing the networks’ services and their profitability, the greatest business opportunity would result from allowing open entry to market and competition in contracting. This would mean abandonment of negotiated contracts and proactive evolution of functional markets. The scope of business opportunities will increase in all aspect of service delivery; from management to engineering and economic studies, asset management systems, construction and maintenance works, and the labor to do all that

Synergistic inhibition of prostate cancer cell lines by a 19- nor hexafluoride vitamin D3 analogue and anti-activator protein 1 retinoid

The secosteroid hormones, all- trans- and 9- cis -retinoic acid and vitamin D3, have demonstrated significant capacity to control proliferation in itro of many solid tumour cell lines. Cooperative synergistic effects by these two ligands have been reported, and it is, therefore, possible that greater therapeutic effects could be achieved if these compounds were administered together. The role of retinoid-dependent anti-activator protein 1 (anti-AP-1) effects in controlling cancer cell proliferation appears significant. We have utilized an anti- AP-1 retinoid [2-(4,4-dimethyl-3,4-dihydro-2H-1 benzopyran-6-yl)carbonyl-2-(4-carboxyphenyl)-1,3,-dithiane; SR11238], which does not transactivate through a retinoic acid response element (RARE), and a potent vitamin D3analogue [1α,25(OH)2-16-ene-23-yne-26,27-F6-19-nor -D3, code name LH] together at low, physiologically safer doses against a panel of prostate cancer cell lines that represent progressively more transformed phenotypes. The LNCaP (least transformed) and PC-3 (intermediately transformed) cell lines were synergistically inhibited in their clonal growth by the combination of LH and SR11238, whereas SR11238 alone was essentially inactive. DU-145 cells (most transformed) were completely insensitive to these analogues. LNCaP cells, but neither PC-3 nor DU-145, underwent apoptosis in the presence of LH and SR11238. Transactivation of the human osteocalcin vitamin D response element (VDRE) by LH was not enhanced in the presence of SR11238, although the expression of E-cadherin in these cells was additively up-regulated in the presence of both compounds. These data suggest the anti-AP-1 retinoid and the vitamin D3 analogue may naturally act synergistically to control cell proliferation, a process that is interrupted during transformation, and that this combination may form the basis for treatment of some androgen-independent prostate cancer. © 1999 Cancer Research Campaig

Fuel evaporation parameter identification during SI cold start

The stochastic properties of continuous time model parameters obtained through discrete least squares estimation are examined. Particular attention is given to the application of estimating the fuel evaporation dynamics of a V-8 SI engine. The continuous time parameter distributions in this case are biased. The bias is shown to be a function of both measurement noise and sampling rate selection. Analysis and experimental results suggest that for each particular model, there is a corresponding optimum sampling rate. A bias compensation formula is proposed that improves the accuracy of least squares estimation without iterative techniques