The immunohistochemical analysis of fibronectin, collagen type III, laminin, and cytokeratin 5 in putrified skin

Fibronectin, collagen type III, laminin, and cytokeratin 5 were visualized in normal skin and in skin showing early or advanced signs of autolytic decomposition to prove whether the immunohistochemical analysis of these antigens can provide useful information for an age-estimation of skin wounds obtained from putrified corpses. In cases with early signs of decomposition (visible course of veins, greenish discoloration) and without microscopic alterations like relaxation of the epidermal cell layers or destruction of the blood vessel structures, the staining pattern was identical to that found in normal, non-putrefied skin. In skin already showing microscopic alteration of the tissue structure, fibronectin and collagen type III could not be localized unambiguously. The distribution of laminin and cytokeratin 5, however, was well preserved. In advanced putrefied skin no reliable staining results could be obtained for fibronectin, collagen type III, and laminin. Even though cytokeratin 5 was still detectable in remnants of decomposition-resistant skin appendages, no information useful for an age-estimation of skin wounds can be obtained due to the autolytic detachment of the epidermal layers

Power and policy in floodplain management, drawing on research in Alberta, Canada

Floodplain management policy implementation and change involves a range of actors and opportunities for power to be exercised. Considering four conceptualizations of power envisioned by Dahl, Bachrach & Baratz, Lukes, and Emerson, this paper explores the actors and instances where power emerges in floodplain management policy implementation and change, using Alberta, Canada, as our focus. We consider which conceptualization is most reflective of the Alberta context. We conclude that all four views of behaviour are relevant here, with some power dynamics between actors more complex than others. Further, these dynamics change over time, and therefore the trade-offs to be made also change. Understanding power relations allows for clearer identification of these trade-offs and, therefore, the potential winners and losers in floodplain management policy. We describe strategies for assisting in this process of managing power relations, including information sharing, transparency and actively managing the policy process

The robustness of flood insurance regimes given changing risk resulting from climate change

The changing risk of flooding associated with climate change presents different challenges for the different flood insurance market models in use around the world, which vary in respect of consumer structure and their risk transfer mechanism. A review of international models has been undertaken against three broad criteria for the functioning and sustainability of a flood insurance scheme: knowing the nature of the insurable risk; the availability of an insurable population; and the presence of a solvent insurer. The solvency of insurance markets appears strong, partly because insurers and reinsurers can choose to exclude markets which would give rise to insolvency or can diversify their portfolios to include offsetting perils. Changing risk may threaten solvency if increasing risk is not recognised and adjusted for but insurability of flood risk may be facilitated by the use of market based and hybrid schemes offering greater diversification and more flexibility. While encouragement of mitigation is in theory boosted by risk based pricing, availability and affordability of insurance may be negatively impacted. This threatens the sustainability of an insurable population, therefore the inclusion of the state in partnership is beneficial in ensuring continuity of cover, addressing equity issues and incentivising mitigation

Can a charged ring levitate a neutral, polarizable object? Can Earnshaw's Theorem be extended to such objects?

Stable electrostatic levitation and trapping of a neutral, polarizable object by a charged ring is shown to be theoretically impossible. Earnshaw's Theorem precludes the existence of such a stable, neutral particle trap.Comment: 11 pages, 1 figur

Assessing water availability under pastoral livestock systems in drought-prone Isiolo District, Kenya

Water availability / Water demand / Surface water / Groundwater / Wells / Salinity / Livestock / Grazing / Land use / Water supply / Drainage / GIS / Databases / Cost recovery

How do Cattle and Sheep Alter Ingestive Behaviour in Response to Changes in Sward State?

Ingestive behaviour of yearling Friesian heifers continuously stocked on monocultures of Lolium perenne (G) or Trifolium repens (C) maintained at sward heights of 7-8 cm, was recorded. Bite masses, prehension biting and mastication rates were similar between treatments (211 vs. 230 mg DM prehension bite-1, 61 vs. 55 prehension bites and 11 vs. 13 mastications, min-1 for G and C, respectively). DM intake rates were 12.9 g min-1 for both treatments. Animals grazed longer (536 vs.436 min) and ruminated longer (526 vs. 267 min-1) on G compared with C. Daily intakes were 6.9 vs.5.6 kg DM for G and C. Growth rates for G and C were similar (0.97 vs 0.99 kg live weight d-1). Grass had a lower digestibility than clover (DOMD 60 vs. 77%). It is suggested that cattle have higher intake rates than do sheep because a lower proportion of their total jaw movements are used to masticate herbage

Intensifying agricultural sustainability: an analysis of impacts and drivers in the development of ‘bright spots’

Food security / Farming systems / Sustainable agriculture / Productivity / Investment / Thailand / Palestine / Latin America / Africa

A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning

In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration may lead to a better understanding, use and construction of more realistic models. Unfortunately, existing models are either oversimplified or require much processing time, which is unsuitable for online learning and reasoning. Currently, controlled environments like training simulators do not effectively integrate learning and reasoning. In particular, higher-order concepts and cognitive abilities have many unknown temporal relations with the data, making it impossible to represent such relationships by hand. We introduce a novel cognitive agent model and architecture for online learning and reasoning that seeks to effectively represent, learn and reason in complex training environments. The agent architecture of the model combines neural learning with symbolic knowledge representation. It is capable of learning new hypotheses from observed data, and infer new beliefs based on these hypotheses. Furthermore, it deals with uncertainty and errors in the data using a Bayesian inference model. The validation of the model on real-time simulations and the results presented here indicate the promise of the approach when performing online learning and reasoning in real-world scenarios, with possible applications in a range of areas