Covid and Public Funds: More Opportunities for a Misuse? The Case of the Intermediate Governments of Galicia

Public Organization Review - Corruption and inefficiency of public funds pose a risk in public administrations. This paper analyses the corruption risk at the local level by analysing indicators of...     

Mobile Livelihoods: The Sociocultural Practices of Circular Migrants between Puerto Rico and the United States1

This article focuses on the bilateral flow of people between Puerto Rico and the United States ‐ what has come to be known as circular, commuter, or revolving‐door migration. It documents the migrants' livelihood practices based on a recent field study of population flows between Puerto Rico and the mainland. Specifically, the basic characteristics of multiple movers, one‐time movers and nonmovers residing in Puerto Rico are compared. More broadly, the article assesses the implications of circular migration for Puerto Rican communities on and off the island. The author's basic argument is that the constant displacement of people ‐ both to and from the island ‐ blurs the territorial, linguistic, and juridical boundaries of the Puerto Rican nation. As people expand their means of subsistence across space, they develop multiple attachments to various localities. In the Puerto Rican situation, such mobile livelihoods are easier to establish than in other places because of the free movement of labor and capital between the island and the mainland. The author hypothesizes that circulation does not entail major losses in human capital for most Puerto Ricans, but rather often constitutes an occupational, educational, and linguistic asset.     

Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.     

The Reform of the United Nations Disarmament Machinery

The limitation, reduction, prohibition or elimination of specific types of weapons, particularly nuclear weapons is, and will continue to be, one of the most important challenges that the international community should face in the 21th century. To overcome these challenges a multilateral approach through the United Nations and its main organs and specialised international organisations involved in non-proliferation, disarmament and arms control issues is needed. These organs and specialised international organisations are: the General Assembly and its main subsidiary bodies, the Security Council, the International Atomic Energy Agency (IAEA), the Organization for the Prohibition of Chemical Weapons (OPCW), the Comprehensive Test Ban Treaty Organization (CTBTO) and the Conference on Disarmament (CD).     

A Framework for Skew-Probit Links in Binary Regression

We review several asymmetrical links for binary regression models and present a unified approach for two skew-probit links proposed in the literature. Moreover, under skew-probit link, conditions for the existence of the ML estimators and the posterior distribution under improper priors are established. The framework proposed here considers two sets of latent variables which are helpful to implement the Bayesian MCMC approach. A simulation study to criteria for models comparison is conducted and two applications are made. Using different Bayesian criteria we show that, for these data sets, the skew-probit links are better than alternative links proposed in the literature.     

Optimal sampling for spatial prediction of functional data

This paper combines optimal spatial sampling designs with geostatistical analysis of functional data. We propose a methodology and design criteria to find the set of spatial locations that minimizes the variance of the spatial functional prediction at unsampled sites for three functional predictors: ordinary kriging, simple kriging and simple cokriging. The last one is a modification of an existing predictor that uses ordinary cokriging based on the basis coefficients. Instead, we propose to use a simple cokriging predictor with the scores resulting from a representation of the functional data with the empirical functional principal components, allowing to remove restrictions and complexity of the covariance models and constraints on the estimation procedure. The methodology is applied to a network of air quality in Bogotá city, Colombia.     

Population dynamics ofTelenomus fariai (Hymenoptera: Scelionidae), a parasite of Chagas' disease vectors IX. Larval competition and population size regulation under laboratory conditions

Summary A series of experiments were carried out with the endophagous egg parasiteTelenomus fariai on its hostTriatoma phyllosoma pallidipennis to determine the possible role of intraspecific competition by the parasite progeny in population regulation of the parasite. Eight parasite densities (1, 3, 5, 10, 20, 30, 40, and 50 individuals per vial) were used, and the design of sequentially sacrificed replicates applied. Survivorship curves for each density indicated smaller number of progeny per host at higher densities, and the shapes of the curves suggested a relatively early mortality process.Morris' linear regression technique for determining within-generation density-dependence was used, and the results showed that only larval mortality could be identified as density dependent. The same technique applied within the larval stage proved that only mortality of larvae in their second, third, and fourth day of development were responsible for population regulation. The applicability of the technique, as well as the relevance of the results for natural population, is discussed.     

Use of approximate bayesian methods for the block and basu bivariate exponential distribution

Summary In this paper, we present a Bayesian analysis of the bivariate exponential distribution of Block and Basu (1974) assuming different prior densities for the parameters of the model and considering Laplace's method to obtain approximate marginal posterior and posterior moments of interest. We also find approximate Bayes estimators for the reliability of two-component systems at a specified timet ₀ considering series and parallel systems. We illustrate the proposed methodology with a generated data set.     

An effective algorithm for obtaining the whole set of minimal cost pairs of disjoint paths with dual arc costs

In telecommunication networks design the problem of obtaining optimal (arc or node) disjoint paths, for increasing network reliability, is extremely important. The problem of calculating k _c disjoint paths from s to t (two distinct nodes), in a network with k _c different (arbitrary) costs on every arc such that the total cost of the paths is minimised, is NP-complete even for k _c =2. When k _c =2 these networks are usually designated as dual arc cost networks.