Twin–twin transfusion syndrome—possible roles for doppler ultrasound and amniocentesis

A 29-year-old woman was referred for suspicion of twin-twin transfusion syndrome (TTTS). Several ultrasonographic and neonatal criteria of TTTS were encountered in this twin pregnancy. The peculiar observations in this case were, firstly, the demonstration of superficial anastomosis by Doppler ultrasound and, secondly, that one single therapeutic amniocentesis could have been sufficient to partially correct the progression of the syndrome, as after amniocentesis it was no longer possible to demonstrate the vascular communication. This observation suggests that superficial anastomoses could also have a role in the genesis of TTTS. Their effect could be monitored by Doppler ultrasound and could be more easily corrected by therapeutic amniocentesis.     

Apparent segregation of null alleles ascribed to deletions of the ornithine transcarbamylase gene in congenital hyperammonaemia

Ornithine transcarbamylase (OTC) deficiency is an X-linked disorder of the urea cycle mapped to chromosome Xp21.1. Here, we show that apparent segregation of null alleles at the OTC locus and flanking polymorphic loci mimicked false maternity or false paternity in three affected families. Based on these observations, we suggest giving consideration to gene deletion when dealing with segregation of null alleles in OTC deficiency.     

Crisis or opportunity? Economic degrowth for social equity and ecological sustainability. Introduction to this special issue

This article reviews the burgeoning emerging literature on sustainable degrowth. This is defined as an equitable downscaling of production and consumption that increases human well-being and enhances ecological conditions at the local and global level, in the short and long term. The paradigmatic propositions of degrowth are that economic growth is not sustainable and that human progress without economic growth is possible. Degrowth proponents come from diverse origins. Some are critics of market globalization, new technologies or the imposition of western models of development in the rest of the world. All criticize GDP accounting though they propose often different social and ecological indicators. Degrowth theorists and practitioners support an extension of human relations instead of market relations, demand a deepening of democracy, defend ecosystems, and propose a more equal distribution of wealth. We distinguish between depression, i.e. unplanned degrowth within a growth regime, and sustainable degrowth, a voluntary, smooth and equitable transition to a regime of lower production and consumption. The question we ask is how positive would degrowth be if instead of being imposed by an economic crisis, it would actually be a democratic collective decision, a project with the ambition of getting closer to ecological sustainability and socio-environmental justice worldwide.Most articles in this issue were originally presented at the April 2008 conference in Paris on Economic Degrowth for Ecological Sustainability and Social Equity. This conference brought the word degrowth and the concepts around it into an international academic setting. Articles of this special issue are summarized in this introductory article. Hueting, d'Alessandro and colleagues, van den Bergh, Kerschner, Spangenberg and Alcott discuss whether current growth patterns are (un)sustainable and offer different perspectives on what degrowth might mean, and whether and under what conditions it might be desirable. Matthey and Hamilton focus on social dynamics and the obstacles and opportunities for voluntary social action towards degrowth. Lietaert and Cattaneo with Gavaldà offer a down-to-earth empirical discussion of two practical living experiments: cohousing and squats, highlighting the obstacles for scaling up such alternatives. Finally van Griethuysen explains why growth is an imperative in modern market economies, raising also the question whether degrowth is possible without radical institutional changes.     

Neural Network Input Selection for Hydrological Forecasting Affected by Snowmelt1

Abstract: Snowmelt largely affects runoff in watersheds in Nordic countries. Neural networks (NN) are particularly attractive for streamflow forecasting whereas they rely at least on daily streamflow and precipitation observations. The selection of pertinent model inputs is a major concern in NNs implementation. This study investigates performance of auxiliary NN inputs that allow short‐term streamflow forecasting without resorting to a deterministic snowmelt routine. A case study is presented for the Rivière des Anglais watershed (700 km²) located in Southern Québec, Canada. Streamflow (Q), precipitations (rain R and snow S, or total P), temperature (T) and snow lying (A) observations, combined with climatic and snowmelt proxy data, including snowmelt flow (Q_SM) obtained from a deterministic model, were tested. NN implemented with antecedent Q and R produced the largest gains in performance. Introducing increments of A and T to the NNs further improved the performance. Long‐term averages, seasonal data, and Q_SM failed to improve the networks.