Establishing electoral administration systems in new democracies

The difficulty of holding fair elections continues to be a critical problem in many newly democratized countries. The core of the problem is the electoral administration's lack of political autonomy and capability to regulate fraud. This paper seeks to identify the conditions for establishing an autonomous and capable electoral administration system. An electoral administration system has two main functions: to disclose the nature of elections and to prevent fraud. We argue in this paper that an autonomous and capable electoral administration system exists if the major political players have the incentive to disclose the information on the elections and to secure the ruler's credible commitment to fair elections. We examine this argument through comparative case studies of Korea and the Philippines. Despite similar historical and institutional settings, their election commissions exhibit contrasting features. The difference in the incentive structures of the major political players seems to have caused the divergence in the institutional evolution of the election commissions in the two countries.Developing countries, South Korea, Philippines, Elections, Electoral systems, Democracy, Institution

Forms of European Administrative Action

Chiti examines the various forms of European administration and their associated administrative law systems. Chiti recounts the history of administration and of administrative law in the European Community, examines the main types of administrative action in the Community, and highlights the novel elements and the shortcomings of European administrative law today

Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017

Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug development and drug administration. In this paper, we present a set of taggers for extracting adverse drug reactions and related entities, including factors, severity, negations, drug class and animal. The systems used a mix of rule-based, machine learning (CRF) and deep learning (BLSTM with word2vec embeddings) methodologies in order to annotate the data. The systems were submitted to adverse drug reaction shared task, organised during Text Analytics Conference in 2017 by National Institute for Standards and Technology, archiving F1-scores of 76.00 and 75.61 respectively.Comment: Paper describing submission for TAC ADR shared tas

Air support facilities

Airports are discussed in terms of the interface between the ground and air for transportation systems. The classification systems, design, facilities, administration, and operations of airports are described

Bicycle facilities network identification handbook

82 p. Illustration