Is there such a thing as a family constitution? A test based on credit rationing

The paper tests the hypothesis that private transfers can be explained by the existence of self-enforcing family constitutions prescribing the minimum level at which a person in middle life should support her young children and elderly parents. The test is based on the effect of a binding credit ration on the probability of making a money transfer, which can be positive only in the presence of family constitutions. Allowing for the possible endogeneity of the credit ration, we find that rationing has a positive effect on the probability of giving money if the potential giver is under the age of retirement, but no significant effect if the person is already retired. This appears to reject the hypothesis that transfer behavior is the outcome of unfettered individual optimization on the part of either altruistic or exchange motivated agents, but not the one that individuals optimize subject to a self-enforcing family constitution. The policy implications are briefly discusse

Exact Distributed Load Centrality Computation: Algorithms, Convergence, and Applications to Distance Vector Routing

Many optimization techniques for networking protocols take advantage of topological information to improve performance. Often, the topological information at the core of these techniques is a centrality metric such as the Betweenness Centrality (BC) index. BC is, in fact, a centrality metric with many well-known successful applications documented in the literature, from resource allocation to routing. To compute BC, however, each node must run a centralized algorithm and needs to have the global topological knowledge; such requirements limit the feasibility of optimization procedures based on BC. To overcome restrictions of this kind, we present a novel distributed algorithm that requires only local information to compute an alternative similar metric, called Load Centrality (LC). We present the new algorithm together with a proof of its convergence and the analysis of its time complexity. The proposed algorithm is general enough to be integrated with any distance vector (DV) routing protocol. In support of this claim, we provide an implementation on top of Babel, a real-world DV protocol. We use this implementation in an emulation framework to show how LC can be exploited to reduce Babel's convergence time upon node failure, without increasing control overhead. As a key step towards the adoption of centrality-based optimization for routing, we study how the algorithm can be incrementally introduced in a network running a DV routing protocol. We show that even when only a small fraction of nodes participate in the protocol, the algorithm accurately ranks nodes according to their centrality

Network Friendly P2P-TV: The Napa-Wine Approach

DEMO Sessio

Milk Products in Bread Making

The topic was the usage of milk in bread making. Initial investigations in bread making using milk were aimed at learning how to prepare milk best suited for bread making and finding the proper quantities for optimum results. The convenience, economy, and uniformity of dry milk solids greatly increased their usage by bakers. These advantages have been further augmented by research and experimentation by the dry milk producers, which have resulted in a product which would appreciably improve bread quality. Milk may be altered both in physical and chemical properties by heating. The article goes on to give more information on milk usage in baking

V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing

As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: Instead of sending all data and tasks from an end user's device to the cloud, possibly covering thousands of kilometers and introducing delays lower-bounded by propagation speed, edge servers deployed in close proximity to the user (e.g., at some base station) serve as proxy for the cloud. This is particularly interesting for upcoming machine-learning-based intelligent services, which require substantial computational and networking performance for continuous model training. However, this promising idea is hampered by the limited number of such edge servers. In this article, we discuss a way forward, namely the V-Edge concept. V-Edge helps bridge the gap between cloud, edge, and fog by virtualizing all available resources including the end users' devices and making these resources widely available. Thus, V-Edge acts as an enabler for novel microservices as well as cooperative computing solutions in next-generation networks. We introduce the general V-Edge architecture, and we characterize some of the key research challenges to overcome in order to enable wide-spread and intelligent edge services

The Biological Standard of Living in the two Germanies.

Physical stature is used as a proxy for the biological standard of living in the two Germanies before and after unification in an analysis of a cross-sectional sample (1998) of adult heights, as well as among military recruits of the 1990s. West Germans tended to be taller than East Germans throughout the period under consideration. Contrary to official proclamations of a classless society, there were substantial social differences in physical stature in East-Germany. Social differences in height were greater in the East among females, and less among males than in the West. The difficulties experienced by the East-German population after 1961 is evident in the increase in social inequality of physical stature thereafter, as well as in the increasing gap relative to the height of the West-German population. After unification, however, there is a tendency for East-German males, but not of females, to catch up with their West-German counterparts